diff --git a/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb b/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb
index b3536f3..ef992e4 100644
--- a/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb
+++ b/.ipynb_checkpoints/4_player_match_dataset_creation-checkpoint.ipynb
@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 21,
"id": "3ecf3676",
"metadata": {},
"outputs": [],
@@ -32,7 +32,7 @@
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 22,
"id": "8a6867a5",
"metadata": {},
"outputs": [
@@ -40,7 +40,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5880\\552672520.py:19: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5304\\552672520.py:19: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -120,595 +120,595 @@
"
Atalanta \n",
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"\n",
- "20 rows × 321 columns
\n",
+ "20 rows × 303 columns
\n",
""
],
"text/plain": [
" team team_players_used team_possession team_games \\\n",
"team_idx \n",
- "Atalanta Atalanta 24.0 49.1 20.0 \n",
- "Bologna Bologna 24.0 52.6 20.0 \n",
- "Cremonese Cremonese 29.0 43.6 20.0 \n",
- "Empoli Empoli 26.0 46.4 20.0 \n",
- "Fiorentina Fiorentina 27.0 57.1 20.0 \n",
- "Verona Hellas Verona 32.0 43.5 20.0 \n",
- "Inter Inter 23.0 53.6 20.0 \n",
- "Juventus Juventus 26.0 49.4 20.0 \n",
- "Lazio Lazio 21.0 50.9 20.0 \n",
- "Lecce Lecce 26.0 42.5 20.0 \n",
- "Milan Milan 27.0 54.8 20.0 \n",
- "Monza Monza 29.0 55.1 20.0 \n",
- "Napoli Napoli 24.0 61.0 20.0 \n",
- "Roma Roma 25.0 49.1 20.0 \n",
- "Salernitana Salernitana 28.0 44.8 20.0 \n",
- "Sampdoria Sampdoria 30.0 48.9 20.0 \n",
- "Sassuolo Sassuolo 27.0 48.3 20.0 \n",
- "Spezia Spezia 30.0 46.7 20.0 \n",
- "Torino Torino 24.0 52.9 20.0 \n",
- "Udinese Udinese 23.0 50.4 20.0 \n",
+ "Atalanta Atalanta 24.0 49.0 21.0 \n",
+ "Bologna Bologna 25.0 51.9 21.0 \n",
+ "Cremonese Cremonese 30.0 44.2 21.0 \n",
+ "Empoli Empoli 27.0 46.8 21.0 \n",
+ "Fiorentina Fiorentina 28.0 57.3 21.0 \n",
+ "Verona Hellas Verona 34.0 43.1 21.0 \n",
+ "Inter Inter 23.0 54.0 21.0 \n",
+ "Juventus Juventus 26.0 49.2 21.0 \n",
+ "Lazio Lazio 21.0 51.4 21.0 \n",
+ "Lecce Lecce 26.0 42.4 21.0 \n",
+ "Milan Milan 27.0 53.9 21.0 \n",
+ "Monza Monza 29.0 55.9 21.0 \n",
+ "Napoli Napoli 24.0 61.4 21.0 \n",
+ "Roma Roma 26.0 48.9 21.0 \n",
+ "Salernitana Salernitana 28.0 45.1 21.0 \n",
+ "Sampdoria Sampdoria 31.0 47.9 21.0 \n",
+ "Sassuolo Sassuolo 29.0 48.5 21.0 \n",
+ "Spezia Spezia 33.0 45.9 21.0 \n",
+ "Torino Torino 25.0 53.0 21.0 \n",
+ "Udinese Udinese 25.0 50.0 21.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
"team_idx \n",
- "Atalanta 220.0 1800.0 38.0 27.0 \n",
- "Bologna 220.0 1800.0 25.0 19.0 \n",
- "Cremonese 220.0 1800.0 15.0 7.0 \n",
- "Empoli 220.0 1800.0 19.0 11.0 \n",
- "Fiorentina 220.0 1800.0 22.0 17.0 \n",
- "Verona 220.0 1800.0 16.0 13.0 \n",
- "Inter 220.0 1800.0 39.0 26.0 \n",
- "Juventus 220.0 1800.0 30.0 23.0 \n",
- "Lazio 220.0 1800.0 35.0 25.0 \n",
- "Lecce 220.0 1800.0 18.0 12.0 \n",
- "Milan 220.0 1800.0 35.0 30.0 \n",
- "Monza 220.0 1800.0 24.0 15.0 \n",
- "Napoli 220.0 1800.0 48.0 39.0 \n",
- "Roma 220.0 1800.0 26.0 17.0 \n",
- "Salernitana 220.0 1800.0 24.0 16.0 \n",
- "Sampdoria 220.0 1800.0 8.0 7.0 \n",
- "Sassuolo 220.0 1800.0 23.0 17.0 \n",
- "Spezia 220.0 1800.0 15.0 10.0 \n",
- "Torino 220.0 1800.0 21.0 16.0 \n",
- "Udinese 220.0 1800.0 27.0 23.0 \n",
+ "Atalanta 231.0 1890.0 38.0 27.0 \n",
+ "Bologna 231.0 1890.0 27.0 20.0 \n",
+ "Cremonese 231.0 1890.0 15.0 7.0 \n",
+ "Empoli 231.0 1890.0 19.0 11.0 \n",
+ "Fiorentina 231.0 1890.0 23.0 18.0 \n",
+ "Verona 231.0 1890.0 17.0 14.0 \n",
+ "Inter 231.0 1890.0 40.0 27.0 \n",
+ "Juventus 231.0 1890.0 33.0 25.0 \n",
+ "Lazio 231.0 1890.0 36.0 26.0 \n",
+ "Lecce 231.0 1890.0 20.0 14.0 \n",
+ "Milan 231.0 1890.0 35.0 30.0 \n",
+ "Monza 231.0 1890.0 26.0 16.0 \n",
+ "Napoli 231.0 1890.0 51.0 40.0 \n",
+ "Roma 231.0 1890.0 28.0 19.0 \n",
+ "Salernitana 231.0 1890.0 24.0 16.0 \n",
+ "Sampdoria 231.0 1890.0 10.0 8.0 \n",
+ "Sassuolo 231.0 1890.0 24.0 18.0 \n",
+ "Spezia 231.0 1890.0 15.0 10.0 \n",
+ "Torino 231.0 1890.0 22.0 17.0 \n",
+ "Udinese 231.0 1890.0 27.0 23.0 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
"team_idx ... \n",
- "Atalanta 6.0 8.0 ... 220.0 \n",
- "Bologna 3.0 3.0 ... 252.0 \n",
- "Cremonese 2.0 4.0 ... 217.0 \n",
- "Empoli 0.0 0.0 ... 260.0 \n",
- "Fiorentina 2.0 4.0 ... 271.0 \n",
- "Verona 0.0 0.0 ... 201.0 \n",
- "Inter 2.0 2.0 ... 249.0 \n",
- "Juventus 2.0 3.0 ... 220.0 \n",
- "Lazio 3.0 4.0 ... 278.0 \n",
- "Lecce 1.0 2.0 ... 263.0 \n",
- "Milan 2.0 2.0 ... 242.0 \n",
- "Monza 3.0 3.0 ... 291.0 \n",
- "Napoli 4.0 5.0 ... 272.0 \n",
- "Roma 3.0 5.0 ... 274.0 \n",
- "Salernitana 1.0 1.0 ... 226.0 \n",
- "Sampdoria 0.0 0.0 ... 316.0 \n",
- "Sassuolo 4.0 5.0 ... 262.0 \n",
- "Spezia 2.0 2.0 ... 207.0 \n",
- "Torino 1.0 1.0 ... 221.0 \n",
- "Udinese 0.0 0.0 ... 261.0 \n",
+ "Atalanta 6.0 8.0 ... 232.0 \n",
+ "Bologna 4.0 4.0 ... 262.0 \n",
+ "Cremonese 2.0 4.0 ... 232.0 \n",
+ "Empoli 0.0 0.0 ... 270.0 \n",
+ "Fiorentina 2.0 4.0 ... 296.0 \n",
+ "Verona 0.0 0.0 ... 213.0 \n",
+ "Inter 2.0 2.0 ... 263.0 \n",
+ "Juventus 3.0 4.0 ... 229.0 \n",
+ "Lazio 3.0 4.0 ... 294.0 \n",
+ "Lecce 1.0 2.0 ... 275.0 \n",
+ "Milan 2.0 2.0 ... 255.0 \n",
+ "Monza 4.0 4.0 ... 303.0 \n",
+ "Napoli 5.0 6.0 ... 291.0 \n",
+ "Roma 3.0 5.0 ... 292.0 \n",
+ "Salernitana 1.0 1.0 ... 238.0 \n",
+ "Sampdoria 0.0 0.0 ... 328.0 \n",
+ "Sassuolo 4.0 5.0 ... 275.0 \n",
+ "Spezia 2.0 2.0 ... 225.0 \n",
+ "Torino 1.0 1.0 ... 229.0 \n",
+ "Udinese 0.0 0.0 ... 274.0 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
"team_idx \n",
- "Atalanta 232.0 26.0 1.0 \n",
- "Bologna 229.0 33.0 3.0 \n",
- "Cremonese 254.0 32.0 3.0 \n",
- "Empoli 226.0 32.0 2.0 \n",
- "Fiorentina 243.0 53.0 1.0 \n",
- "Verona 286.0 22.0 1.0 \n",
- "Inter 224.0 18.0 2.0 \n",
- "Juventus 221.0 27.0 0.0 \n",
- "Lazio 196.0 44.0 1.0 \n",
- "Lecce 265.0 43.0 3.0 \n",
- "Milan 237.0 23.0 4.0 \n",
- "Monza 251.0 37.0 0.0 \n",
- "Napoli 174.0 27.0 1.0 \n",
- "Roma 228.0 10.0 0.0 \n",
- "Salernitana 233.0 49.0 7.0 \n",
- "Sampdoria 277.0 56.0 3.0 \n",
- "Sassuolo 190.0 67.0 2.0 \n",
- "Spezia 261.0 46.0 1.0 \n",
- "Torino 274.0 22.0 3.0 \n",
- "Udinese 235.0 31.0 2.0 \n",
+ "Atalanta 244.0 26.0 1.0 \n",
+ "Bologna 254.0 36.0 3.0 \n",
+ "Cremonese 264.0 33.0 3.0 \n",
+ "Empoli 244.0 35.0 2.0 \n",
+ "Fiorentina 252.0 54.0 1.0 \n",
+ "Verona 302.0 24.0 1.0 \n",
+ "Inter 237.0 19.0 2.0 \n",
+ "Juventus 232.0 27.0 0.0 \n",
+ "Lazio 206.0 44.0 1.0 \n",
+ "Lecce 279.0 45.0 3.0 \n",
+ "Milan 251.0 25.0 4.0 \n",
+ "Monza 263.0 37.0 0.0 \n",
+ "Napoli 192.0 28.0 1.0 \n",
+ "Roma 238.0 10.0 0.0 \n",
+ "Salernitana 242.0 52.0 8.0 \n",
+ "Sampdoria 288.0 56.0 4.0 \n",
+ "Sassuolo 200.0 69.0 2.0 \n",
+ "Spezia 279.0 50.0 1.0 \n",
+ "Torino 287.0 23.0 3.0 \n",
+ "Udinese 242.0 34.0 2.0 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
"team_idx \n",
"Atalanta 8.0 1.0 \n",
- "Bologna 3.0 1.0 \n",
+ "Bologna 4.0 1.0 \n",
"Cremonese 4.0 0.0 \n",
"Empoli 0.0 0.0 \n",
"Fiorentina 4.0 0.0 \n",
"Verona 0.0 2.0 \n",
"Inter 2.0 1.0 \n",
- "Juventus 3.0 0.0 \n",
+ "Juventus 4.0 0.0 \n",
"Lazio 4.0 1.0 \n",
"Lecce 2.0 1.0 \n",
"Milan 2.0 2.0 \n",
- "Monza 3.0 1.0 \n",
- "Napoli 4.0 0.0 \n",
+ "Monza 4.0 1.0 \n",
+ "Napoli 5.0 0.0 \n",
"Roma 5.0 0.0 \n",
"Salernitana 1.0 1.0 \n",
"Sampdoria 0.0 0.0 \n",
@@ -719,54 +719,54 @@
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
"team_idx \n",
- "Atalanta 1214.0 248.0 \n",
- "Bologna 1081.0 224.0 \n",
- "Cremonese 1106.0 367.0 \n",
- "Empoli 1062.0 231.0 \n",
- "Fiorentina 1005.0 261.0 \n",
- "Verona 1096.0 362.0 \n",
- "Inter 914.0 204.0 \n",
- "Juventus 1007.0 240.0 \n",
- "Lazio 1085.0 196.0 \n",
- "Lecce 1072.0 373.0 \n",
- "Milan 1005.0 234.0 \n",
- "Monza 1023.0 214.0 \n",
- "Napoli 995.0 210.0 \n",
- "Roma 1048.0 197.0 \n",
- "Salernitana 1084.0 258.0 \n",
- "Sampdoria 1075.0 324.0 \n",
- "Sassuolo 1043.0 229.0 \n",
- "Spezia 1182.0 322.0 \n",
- "Torino 1045.0 337.0 \n",
- "Udinese 1010.0 212.0 \n",
+ "Atalanta 1261.0 260.0 \n",
+ "Bologna 1145.0 239.0 \n",
+ "Cremonese 1168.0 388.0 \n",
+ "Empoli 1104.0 242.0 \n",
+ "Fiorentina 1061.0 274.0 \n",
+ "Verona 1173.0 385.0 \n",
+ "Inter 960.0 221.0 \n",
+ "Juventus 1064.0 247.0 \n",
+ "Lazio 1157.0 207.0 \n",
+ "Lecce 1141.0 396.0 \n",
+ "Milan 1059.0 249.0 \n",
+ "Monza 1075.0 226.0 \n",
+ "Napoli 1049.0 214.0 \n",
+ "Roma 1095.0 205.0 \n",
+ "Salernitana 1143.0 268.0 \n",
+ "Sampdoria 1126.0 340.0 \n",
+ "Sassuolo 1088.0 243.0 \n",
+ "Spezia 1225.0 337.0 \n",
+ "Torino 1095.0 347.0 \n",
+ "Udinese 1063.0 222.0 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
"team_idx \n",
- "Atalanta 303.0 45.0 \n",
- "Bologna 180.0 55.4 \n",
- "Cremonese 273.0 57.3 \n",
- "Empoli 203.0 53.2 \n",
- "Fiorentina 302.0 46.4 \n",
- "Verona 411.0 46.8 \n",
- "Inter 251.0 44.8 \n",
- "Juventus 247.0 49.3 \n",
- "Lazio 193.0 50.4 \n",
- "Lecce 295.0 55.8 \n",
- "Milan 288.0 44.8 \n",
- "Monza 225.0 48.7 \n",
- "Napoli 244.0 46.3 \n",
- "Roma 234.0 45.7 \n",
- "Salernitana 240.0 51.8 \n",
- "Sampdoria 327.0 49.8 \n",
- "Sassuolo 183.0 55.6 \n",
- "Spezia 281.0 53.4 \n",
- "Torino 309.0 52.2 \n",
- "Udinese 254.0 45.5 \n",
+ "Atalanta 317.0 45.1 \n",
+ "Bologna 193.0 55.3 \n",
+ "Cremonese 296.0 56.7 \n",
+ "Empoli 211.0 53.4 \n",
+ "Fiorentina 317.0 46.4 \n",
+ "Verona 422.0 47.7 \n",
+ "Inter 266.0 45.4 \n",
+ "Juventus 257.0 49.0 \n",
+ "Lazio 216.0 48.9 \n",
+ "Lecce 316.0 55.6 \n",
+ "Milan 305.0 44.9 \n",
+ "Monza 241.0 48.4 \n",
+ "Napoli 259.0 45.2 \n",
+ "Roma 245.0 45.6 \n",
+ "Salernitana 247.0 52.0 \n",
+ "Sampdoria 339.0 50.1 \n",
+ "Sassuolo 195.0 55.5 \n",
+ "Spezia 285.0 54.2 \n",
+ "Torino 319.0 52.1 \n",
+ "Udinese 264.0 45.7 \n",
"\n",
- "[20 rows x 321 columns]"
+ "[20 rows x 303 columns]"
]
},
- "execution_count": 51,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -800,7 +800,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 23,
"id": "b6a3db98",
"metadata": {},
"outputs": [],
@@ -818,7 +818,7 @@
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 24,
"id": "c34eb398",
"metadata": {},
"outputs": [
@@ -899,21 +899,21 @@
" Napoli \n",
" Meret \n",
" NaN \n",
- " 535 \n",
- " 25-319 \n",
+ " 551 \n",
+ " 25-325 \n",
" 1997 \n",
" 0 \n",
" ... \n",
- " 20.3 \n",
- " 27.5 \n",
- " 213.0 \n",
+ " 19.5 \n",
+ " 27.1 \n",
+ " 221.0 \n",
" 6.0 \n",
- " 2.8 \n",
+ " 2.7 \n",
" 24.0 \n",
- " 1.20 \n",
+ " 1.14 \n",
" 17.2 \n",
- " 6.275000 \n",
- " 0.486698 \n",
+ " 6.261905 \n",
+ " 0.478566 \n",
" \n",
" \n",
" Provedel \n",
@@ -923,21 +923,21 @@
" Lazio \n",
" Provedel \n",
" NaN \n",
- " 544 \n",
- " 28-324 \n",
+ " 560 \n",
+ " 28-330 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 33.6 \n",
" 34.2 \n",
- " 266.0 \n",
+ " 34.5 \n",
+ " 279.0 \n",
" 7.0 \n",
- " 2.6 \n",
- " 37.0 \n",
+ " 2.5 \n",
+ " 39.0 \n",
" 1.86 \n",
- " 18.0 \n",
- " 6.225000 \n",
- " 0.334477 \n",
+ " 18.2 \n",
+ " 6.261905 \n",
+ " 0.365769 \n",
" \n",
" \n",
" Vicario \n",
@@ -947,21 +947,21 @@
" Empoli \n",
" Vicario \n",
" NaN \n",
- " 553 \n",
- " 26-120 \n",
+ " 569 \n",
+ " 26-126 \n",
" 1996 \n",
" 0 \n",
" ... \n",
- " 47.7 \n",
- " 42.5 \n",
- " 412.0 \n",
+ " 47.2 \n",
+ " 42.4 \n",
+ " 426.0 \n",
" 25.0 \n",
- " 6.1 \n",
- " 10.0 \n",
- " 0.50 \n",
- " 10.7 \n",
- " 6.450000 \n",
- " 0.384057 \n",
+ " 5.9 \n",
+ " 12.0 \n",
+ " 0.57 \n",
+ " 10.9 \n",
+ " 6.476190 \n",
+ " 0.392677 \n",
" \n",
" \n",
" Szczesny \n",
@@ -971,21 +971,21 @@
" Juventus \n",
" Szczesny \n",
" NaN \n",
- " 550 \n",
- " 32-292 \n",
+ " 566 \n",
+ " 32-298 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 40.3 \n",
- " 38.9 \n",
- " 159.0 \n",
+ " 41.7 \n",
+ " 38.7 \n",
+ " 178.0 \n",
" 4.0 \n",
- " 2.5 \n",
- " 10.0 \n",
- " 0.74 \n",
- " 15.1 \n",
- " 6.035714 \n",
- " 0.351745 \n",
+ " 2.2 \n",
+ " 12.0 \n",
+ " 0.83 \n",
+ " 15.8 \n",
+ " 6.033333 \n",
+ " 0.339935 \n",
" \n",
" \n",
" Falcone \n",
@@ -995,21 +995,21 @@
" Lecce \n",
" Falcone \n",
" NaN \n",
- " 530 \n",
- " 27-298 \n",
+ " 546 \n",
+ " 27-304 \n",
" 1995 \n",
" 0 \n",
" ... \n",
- " 75.0 \n",
- " 51.4 \n",
- " 302.0 \n",
- " 13.0 \n",
- " 4.3 \n",
+ " 76.1 \n",
+ " 51.7 \n",
+ " 316.0 \n",
+ " 15.0 \n",
+ " 4.7 \n",
" 20.0 \n",
- " 1.00 \n",
+ " 0.95 \n",
" 12.5 \n",
- " 6.325000 \n",
- " 0.363146 \n",
+ " 6.309524 \n",
+ " 0.361089 \n",
" \n",
" \n",
" ... \n",
@@ -1043,8 +1043,8 @@
" Sampdoria \n",
" Luca \n",
" NaN \n",
- " 130 \n",
- " 24-202 \n",
+ " 134 \n",
+ " 24-208 \n",
" 1998 \n",
" 1 \n",
" ... \n",
@@ -1056,8 +1056,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.881660 \n",
- " 0.665426 \n",
+ " 5.947397 \n",
+ " 0.490100 \n",
" \n",
" \n",
" Voelkerling Persson \n",
@@ -1067,10 +1067,10 @@
" Lecce \n",
" Persson \n",
" NaN \n",
- " 494 \n",
- " 20-020 \n",
+ " 508 \n",
+ " 20-026 \n",
" 2003 \n",
- " 2 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -1080,8 +1080,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.227492 \n",
- " 0.259439 \n",
+ " 5.694209 \n",
+ " 0.383547 \n",
" \n",
" \n",
" Montevago \n",
@@ -1091,8 +1091,8 @@
" Sampdoria \n",
" Montevago \n",
" NaN \n",
- " 322 \n",
- " 19-323 \n",
+ " 331 \n",
+ " 19-329 \n",
" 2003 \n",
" 6 \n",
" ... \n",
@@ -1104,8 +1104,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.956291 \n",
- " 0.615163 \n",
+ " 5.623932 \n",
+ " 0.280948 \n",
" \n",
" \n",
" Krollis \n",
@@ -1115,10 +1115,10 @@
" Spezia \n",
" Krollis \n",
" NaN \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " 258 \n",
+ " 21-105 \n",
+ " 2001 \n",
+ " 1 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -1128,8 +1128,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.699562 \n",
- " 0.705829 \n",
+ " 6.124287 \n",
+ " 0.483769 \n",
" \n",
" \n",
" Vivaldo \n",
@@ -1152,50 +1152,50 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.888111 \n",
- " 0.648879 \n",
+ " 6.215679 \n",
+ " 0.378965 \n",
" \n",
" \n",
"\n",
- "543 rows × 169 columns
\n",
+ "543 rows × 160 columns
\n",
""
],
"text/plain": [
" Unnamed: 0 id r team surname initial fb_ID \\\n",
"name \n",
- "Meret 0 572 P Napoli Meret NaN 535 \n",
- "Provedel 1 2814 P Lazio Provedel NaN 544 \n",
- "Vicario 2 4964 P Empoli Vicario NaN 553 \n",
- "Szczesny 3 453 P Juventus Szczesny NaN 550 \n",
- "Falcone 4 2134 P Lecce Falcone NaN 530 \n",
+ "Meret 0 572 P Napoli Meret NaN 551 \n",
+ "Provedel 1 2814 P Lazio Provedel NaN 560 \n",
+ "Vicario 2 4964 P Empoli Vicario NaN 569 \n",
+ "Szczesny 3 453 P Juventus Szczesny NaN 566 \n",
+ "Falcone 4 2134 P Lecce Falcone NaN 546 \n",
"... ... ... .. ... ... ... ... \n",
- "De Luca 538 5512 A Sampdoria Luca NaN 130 \n",
- "Voelkerling Persson 539 5837 A Lecce Persson NaN 494 \n",
- "Montevago 540 6113 A Sampdoria Montevago NaN 322 \n",
- "Krollis 541 6143 A Spezia Krollis NaN -1 \n",
+ "De Luca 538 5512 A Sampdoria Luca NaN 134 \n",
+ "Voelkerling Persson 539 5837 A Lecce Persson NaN 508 \n",
+ "Montevago 540 6113 A Sampdoria Montevago NaN 331 \n",
+ "Krollis 541 6143 A Spezia Krollis NaN 258 \n",
"Vivaldo 542 6160 A Udinese Vivaldo NaN -1 \n",
"\n",
" age birth_year games ... \\\n",
"name ... \n",
- "Meret 25-319 1997 0 ... \n",
- "Provedel 28-324 1994 0 ... \n",
- "Vicario 26-120 1996 0 ... \n",
- "Szczesny 32-292 1990 0 ... \n",
- "Falcone 27-298 1995 0 ... \n",
+ "Meret 25-325 1997 0 ... \n",
+ "Provedel 28-330 1994 0 ... \n",
+ "Vicario 26-126 1996 0 ... \n",
+ "Szczesny 32-298 1990 0 ... \n",
+ "Falcone 27-304 1995 0 ... \n",
"... ... ... ... ... \n",
- "De Luca 24-202 1998 1 ... \n",
- "Voelkerling Persson 20-020 2003 2 ... \n",
- "Montevago 19-323 2003 6 ... \n",
- "Krollis 0 0 0 ... \n",
+ "De Luca 24-208 1998 1 ... \n",
+ "Voelkerling Persson 20-026 2003 3 ... \n",
+ "Montevago 19-329 2003 6 ... \n",
+ "Krollis 21-105 2001 1 ... \n",
"Vivaldo 0 0 0 ... \n",
"\n",
" gk_pct_goal_kicks_launched gk_goal_kick_length_avg \\\n",
"name \n",
- "Meret 20.3 27.5 \n",
- "Provedel 33.6 34.2 \n",
- "Vicario 47.7 42.5 \n",
- "Szczesny 40.3 38.9 \n",
- "Falcone 75.0 51.4 \n",
+ "Meret 19.5 27.1 \n",
+ "Provedel 34.2 34.5 \n",
+ "Vicario 47.2 42.4 \n",
+ "Szczesny 41.7 38.7 \n",
+ "Falcone 76.1 51.7 \n",
"... ... ... \n",
"De Luca 0.0 0.0 \n",
"Voelkerling Persson 0.0 0.0 \n",
@@ -1205,11 +1205,11 @@
"\n",
" gk_crosses gk_crosses_stopped gk_crosses_stopped_pct \\\n",
"name \n",
- "Meret 213.0 6.0 2.8 \n",
- "Provedel 266.0 7.0 2.6 \n",
- "Vicario 412.0 25.0 6.1 \n",
- "Szczesny 159.0 4.0 2.5 \n",
- "Falcone 302.0 13.0 4.3 \n",
+ "Meret 221.0 6.0 2.7 \n",
+ "Provedel 279.0 7.0 2.5 \n",
+ "Vicario 426.0 25.0 5.9 \n",
+ "Szczesny 178.0 4.0 2.2 \n",
+ "Falcone 316.0 15.0 4.7 \n",
"... ... ... ... \n",
"De Luca 0.0 0.0 0.0 \n",
"Voelkerling Persson 0.0 0.0 0.0 \n",
@@ -1220,9 +1220,9 @@
" gk_def_actions_outside_pen_area \\\n",
"name \n",
"Meret 24.0 \n",
- "Provedel 37.0 \n",
- "Vicario 10.0 \n",
- "Szczesny 10.0 \n",
+ "Provedel 39.0 \n",
+ "Vicario 12.0 \n",
+ "Szczesny 12.0 \n",
"Falcone 20.0 \n",
"... ... \n",
"De Luca 0.0 \n",
@@ -1233,11 +1233,11 @@
"\n",
" gk_def_actions_outside_pen_area_per90 \\\n",
"name \n",
- "Meret 1.20 \n",
+ "Meret 1.14 \n",
"Provedel 1.86 \n",
- "Vicario 0.50 \n",
- "Szczesny 0.74 \n",
- "Falcone 1.00 \n",
+ "Vicario 0.57 \n",
+ "Szczesny 0.83 \n",
+ "Falcone 0.95 \n",
"... ... \n",
"De Luca 0.00 \n",
"Voelkerling Persson 0.00 \n",
@@ -1247,22 +1247,22 @@
"\n",
" gk_avg_distance_def_actions vote_avg vote_std \n",
"name \n",
- "Meret 17.2 6.275000 0.486698 \n",
- "Provedel 18.0 6.225000 0.334477 \n",
- "Vicario 10.7 6.450000 0.384057 \n",
- "Szczesny 15.1 6.035714 0.351745 \n",
- "Falcone 12.5 6.325000 0.363146 \n",
+ "Meret 17.2 6.261905 0.478566 \n",
+ "Provedel 18.2 6.261905 0.365769 \n",
+ "Vicario 10.9 6.476190 0.392677 \n",
+ "Szczesny 15.8 6.033333 0.339935 \n",
+ "Falcone 12.5 6.309524 0.361089 \n",
"... ... ... ... \n",
- "De Luca 0.0 5.881660 0.665426 \n",
- "Voelkerling Persson 0.0 6.227492 0.259439 \n",
- "Montevago 0.0 5.956291 0.615163 \n",
- "Krollis 0.0 5.699562 0.705829 \n",
- "Vivaldo 0.0 5.888111 0.648879 \n",
+ "De Luca 0.0 5.947397 0.490100 \n",
+ "Voelkerling Persson 0.0 5.694209 0.383547 \n",
+ "Montevago 0.0 5.623932 0.280948 \n",
+ "Krollis 0.0 6.124287 0.483769 \n",
+ "Vivaldo 0.0 6.215679 0.378965 \n",
"\n",
- "[543 rows x 169 columns]"
+ "[543 rows x 160 columns]"
]
},
- "execution_count": 53,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
@@ -1284,7 +1284,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 25,
"id": "71c8804e",
"metadata": {},
"outputs": [],
@@ -1319,7 +1319,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 26,
"id": "7eb4e666",
"metadata": {},
"outputs": [
@@ -1376,33 +1376,33 @@
" Sassuolo \n",
" Frattesi \n",
" NaN \n",
- " 187 \n",
- " 23-105 \n",
+ " 191 \n",
+ " 23-111 \n",
" 1999 \n",
- " 20 \n",
+ " 21 \n",
" ... \n",
- " 220.0 \n",
" 232.0 \n",
+ " 244.0 \n",
" 26.0 \n",
" 1.0 \n",
" 8.0 \n",
" 1.0 \n",
- " 1214.0 \n",
- " 248.0 \n",
- " 303.0 \n",
- " 45.0 \n",
+ " 1261.0 \n",
+ " 260.0 \n",
+ " 317.0 \n",
+ " 45.1 \n",
" \n",
" \n",
"\n",
- "1 rows × 811 columns
\n",
+ "1 rows × 766 columns
\n",
""
],
"text/plain": [
" Unnamed: 0 id r team surname initial fb_ID age \\\n",
- "Frattesi 274 2848 C Sassuolo Frattesi NaN 187 23-105 \n",
+ "Frattesi 274 2848 C Sassuolo Frattesi NaN 191 23-111 \n",
"\n",
" birth_year games ... opp_vs_team_fouls opp_vs_team_fouled \\\n",
- "Frattesi 1999 20 ... 220.0 232.0 \n",
+ "Frattesi 1999 21 ... 232.0 244.0 \n",
"\n",
" opp_vs_team_offsides opp_vs_team_pens_won \\\n",
"Frattesi 26.0 1.0 \n",
@@ -1411,15 +1411,15 @@
"Frattesi 8.0 1.0 \n",
"\n",
" opp_vs_team_ball_recoveries opp_vs_team_aerials_won \\\n",
- "Frattesi 1214.0 248.0 \n",
+ "Frattesi 1261.0 260.0 \n",
"\n",
" opp_vs_team_aerials_lost opp_vs_team_aerials_won_pct \n",
- "Frattesi 303.0 45.0 \n",
+ "Frattesi 317.0 45.1 \n",
"\n",
- "[1 rows x 811 columns]"
+ "[1 rows x 766 columns]"
]
},
- "execution_count": 55,
+ "execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
@@ -1433,7 +1433,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 27,
"id": "6b4c1b00",
"metadata": {},
"outputs": [
@@ -1443,7 +1443,7 @@
"'Sassuolo'"
]
},
- "execution_count": 56,
+ "execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
@@ -1456,7 +1456,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 28,
"id": "6ea6df1f",
"metadata": {},
"outputs": [
@@ -1556,7 +1556,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 57,
+ "execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
@@ -1588,7 +1588,7 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 29,
"id": "47bc651f",
"metadata": {},
"outputs": [],
@@ -1601,8 +1601,8 @@
" 'goals_per_shot',\n",
" 'goals_per_shot_on_target',\n",
" 'passes_pct',\n",
- " 'dribble_tackles_pct',\n",
- " 'dribbles_completed_pct',\n",
+ " #'dribble_tackles_pct',\n",
+ " #'dribbles_completed_pct',\n",
" 'aerials_won_pct',\n",
" 'team_possession',\n",
" 'team_goals_assists_per90',\n",
@@ -1617,7 +1617,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -1634,8 +1634,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -1650,7 +1650,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -1667,8 +1667,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -1692,9 +1692,9 @@
" 'passes_switches',\n",
" 'crosses',\n",
" 'corner_kicks',\n",
- " 'dribble_tackles',\n",
- " 'dribbles_vs',\n",
- " 'dribbled_past',\n",
+ " #'dribble_tackles',\n",
+ " #'dribbles_vs',\n",
+ " #'dribbled_past',\n",
" 'blocks',\n",
" 'blocked_shots',\n",
" 'blocked_passes',\n",
@@ -1708,8 +1708,8 @@
" 'touches_att_3rd',\n",
" 'touches_att_pen_area',\n",
" 'touches_live_ball',\n",
- " 'dribbles_completed',\n",
- " 'dribbles',\n",
+ " #'dribbles_completed',\n",
+ " #'dribbles',\n",
" 'passes_received',\n",
" 'miscontrols',\n",
" 'dispossessed',\n",
@@ -1742,7 +1742,7 @@
},
{
"cell_type": "code",
- "execution_count": 59,
+ "execution_count": 30,
"id": "3f43d509",
"metadata": {},
"outputs": [],
@@ -1773,7 +1773,7 @@
},
{
"cell_type": "code",
- "execution_count": 60,
+ "execution_count": 31,
"id": "930d00c7",
"metadata": {},
"outputs": [
@@ -1806,8 +1806,8 @@
" goals_per_shot \n",
" goals_per_shot_on_target \n",
" passes_pct \n",
- " dribble_tackles_pct \n",
- " dribbles_completed_pct \n",
+ " aerials_won_pct \n",
+ " team_possession \n",
" ... \n",
" miscontrols \n",
" dispossessed \n",
@@ -1825,55 +1825,55 @@
" \n",
" Frattesi \n",
" C \n",
- " 20 \n",
- " 20 \n",
- " 1636 \n",
- " 50.0 \n",
- " 0.14 \n",
+ " 21 \n",
+ " 21 \n",
+ " 1726 \n",
+ " 47.4 \n",
+ " 0.13 \n",
" 0.28 \n",
- " 77.7 \n",
- " 58.3 \n",
- " 52.2 \n",
+ " 78.6 \n",
+ " 57.1 \n",
+ " 48.5 \n",
" ... \n",
- " 0.017726 \n",
- " 0.017115 \n",
- " 0.015892 \n",
- " 0.022005 \n",
- " 0.00978 \n",
- " 0.007335 \n",
- " 0.271394 \n",
- " 0.026284 \n",
- " 0.018337 \n",
- " 0.008557 \n",
+ " 0.01854 \n",
+ " 0.016222 \n",
+ " 0.015643 \n",
+ " 0.021437 \n",
+ " 0.00927 \n",
+ " 0.006952 \n",
+ " 0.275782 \n",
+ " 0.026072 \n",
+ " 0.020278 \n",
+ " 0.008111 \n",
" \n",
" \n",
"\n",
- "1 rows × 125 columns
\n",
+ "1 rows × 112 columns
\n",
""
],
"text/plain": [
" r games games_starts minutes shots_on_target_pct \\\n",
- "Frattesi C 20 20 1636 50.0 \n",
+ "Frattesi C 21 21 1726 47.4 \n",
"\n",
" goals_per_shot goals_per_shot_on_target passes_pct \\\n",
- "Frattesi 0.14 0.28 77.7 \n",
+ "Frattesi 0.13 0.28 78.6 \n",
"\n",
- " dribble_tackles_pct dribbles_completed_pct ... miscontrols \\\n",
- "Frattesi 58.3 52.2 ... 0.017726 \n",
+ " aerials_won_pct team_possession ... miscontrols dispossessed \\\n",
+ "Frattesi 57.1 48.5 ... 0.01854 0.016222 \n",
"\n",
- " dispossessed fouls fouled aerials_won aerials_lost \\\n",
- "Frattesi 0.017115 0.015892 0.022005 0.00978 0.007335 \n",
+ " fouls fouled aerials_won aerials_lost carries \\\n",
+ "Frattesi 0.015643 0.021437 0.00927 0.006952 0.275782 \n",
"\n",
- " carries progressive_carries carries_into_final_third \\\n",
- "Frattesi 0.271394 0.026284 0.018337 \n",
+ " progressive_carries carries_into_final_third \\\n",
+ "Frattesi 0.026072 0.020278 \n",
"\n",
" carries_into_penalty_area \n",
- "Frattesi 0.008557 \n",
+ "Frattesi 0.008111 \n",
"\n",
- "[1 rows x 125 columns]"
+ "[1 rows x 112 columns]"
]
},
- "execution_count": 60,
+ "execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
@@ -1896,7 +1896,7 @@
},
{
"cell_type": "code",
- "execution_count": 61,
+ "execution_count": 32,
"id": "3ae718d2",
"metadata": {},
"outputs": [
@@ -2013,51 +2013,38 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
@@ -2065,36 +2052,49 @@
" 6.0 \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" \n",
" \n",
"\n",
- "5715 rows × 10 columns
\n",
+ "5992 rows × 10 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
" cards_malus fantavote \n",
"0 0.5 5.5 \n",
@@ -2103,16 +2103,16 @@
"3 0.5 5.5 \n",
"4 0.5 5.0 \n",
"... ... ... \n",
- "5710 0.5 5.0 \n",
- "5711 0.0 5.5 \n",
- "5712 0.0 5.0 \n",
- "5713 0.0 6.0 \n",
- "5714 0.0 6.0 \n",
+ "5987 0.5 5.5 \n",
+ "5988 0.0 6.0 \n",
+ "5989 0.0 6.0 \n",
+ "5990 0.0 6.0 \n",
+ "5991 0.0 10.0 \n",
"\n",
- "[5715 rows x 10 columns]"
+ "[5992 rows x 10 columns]"
]
},
- "execution_count": 61,
+ "execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
@@ -2132,7 +2132,7 @@
},
{
"cell_type": "code",
- "execution_count": 62,
+ "execution_count": 33,
"id": "ec0bc56b",
"metadata": {},
"outputs": [
@@ -2194,7 +2194,9 @@
"5400\n",
"5500\n",
"5600\n",
- "5700\n"
+ "5700\n",
+ "5800\n",
+ "5900\n"
]
}
],
@@ -2222,7 +2224,7 @@
},
{
"cell_type": "code",
- "execution_count": 63,
+ "execution_count": 17,
"id": "b292f9f9",
"metadata": {},
"outputs": [
@@ -2308,15 +2310,15 @@
" 0.0 \n",
" 10.0 \n",
" ... \n",
- " 0.007886 \n",
- " 0.001577 \n",
- " 0.006309 \n",
- " 0.006309 \n",
- " 0.014984 \n",
- " 0.011830 \n",
- " 0.364353 \n",
- " 0.008675 \n",
- " 0.016562 \n",
+ " 0.007364 \n",
+ " 0.001473 \n",
+ " 0.006627 \n",
+ " 0.005891 \n",
+ " 0.013991 \n",
+ " 0.011046 \n",
+ " 0.365243 \n",
+ " 0.008100 \n",
+ " 0.016200 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2332,15 +2334,15 @@
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.002257 \n",
- " 0.006772 \n",
- " 0.006772 \n",
- " 0.004515 \n",
- " 0.020316 \n",
- " 0.015801 \n",
- " 0.483070 \n",
- " 0.004515 \n",
- " 0.004515 \n",
+ " 0.001876 \n",
+ " 0.007505 \n",
+ " 0.005629 \n",
+ " 0.005629 \n",
+ " 0.022514 \n",
+ " 0.015009 \n",
+ " 0.487805 \n",
+ " 0.003752 \n",
+ " 0.003752 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2356,16 +2358,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.006304 \n",
- " 0.004728 \n",
- " 0.012608 \n",
- " 0.001576 \n",
- " 0.016548 \n",
- " 0.011032 \n",
- " 0.284476 \n",
- " 0.012608 \n",
- " 0.008668 \n",
- " 0.000788 \n",
+ " 0.005993 \n",
+ " 0.005243 \n",
+ " 0.013483 \n",
+ " 0.001498 \n",
+ " 0.016479 \n",
+ " 0.010487 \n",
+ " 0.283895 \n",
+ " 0.011985 \n",
+ " 0.009738 \n",
+ " 0.000749 \n",
" \n",
" \n",
" 4 \n",
@@ -2416,187 +2418,187 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.017045 \n",
- " 0.014205 \n",
- " 0.019886 \n",
- " 0.005682 \n",
- " 0.017045 \n",
- " 0.022727 \n",
- " 0.221591 \n",
- " 0.008523 \n",
- " 0.011364 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.008130 \n",
+ " 0.252033 \n",
+ " 0.008130 \n",
+ " 0.008130 \n",
" 0.000000 \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 0.012804 \n",
+ " 0.012164 \n",
+ " 0.011524 \n",
+ " 0.010243 \n",
+ " 0.010883 \n",
+ " 0.011524 \n",
+ " 0.213828 \n",
+ " 0.008323 \n",
+ " 0.014725 \n",
+ " 0.001921 \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 0.035088 \n",
- " 0.025341 \n",
- " 0.019493 \n",
- " 0.015595 \n",
- " 0.006823 \n",
- " 0.030214 \n",
- " 0.170565 \n",
- " 0.024366 \n",
- " 0.013645 \n",
- " 0.009747 \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.041667 \n",
- " 0.069444 \n",
- " 0.027778 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.027778 \n",
- " 0.208333 \n",
- " 0.013889 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.027027 \n",
- " 0.005690 \n",
- " 0.021337 \n",
- " 0.019915 \n",
- " 0.160740 \n",
- " 0.039829 \n",
- " 0.204836 \n",
- " 0.001422 \n",
- " 0.002845 \n",
- " 0.002845 \n",
+ " 0.035842 \n",
+ " 0.025986 \n",
+ " 0.018817 \n",
+ " 0.014337 \n",
+ " 0.008961 \n",
+ " 0.032258 \n",
+ " 0.170251 \n",
+ " 0.022401 \n",
+ " 0.013441 \n",
+ " 0.009857 \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 0.130435 \n",
+ " 0.043478 \n",
+ " 0.043478 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.130435 \n",
+ " 0.260870 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.043478 \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" ... \n",
+ " 0.011765 \n",
+ " 0.011765 \n",
" 0.000000 \n",
- " 0.055556 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.111111 \n",
- " 0.388889 \n",
- " 0.111111 \n",
- " 0.000000 \n",
- " 0.111111 \n",
+ " 0.023529 \n",
+ " 0.058824 \n",
+ " 0.058824 \n",
+ " 0.247059 \n",
+ " 0.035294 \n",
+ " 0.011765 \n",
+ " 0.023529 \n",
" \n",
" \n",
"\n",
- "5715 rows × 135 columns
\n",
+ "5992 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
" cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
"0 0.5 5.5 ... 0.000000 0.000000 0.000000 \n",
- "1 0.0 10.0 ... 0.007886 0.001577 0.006309 \n",
- "2 0.0 6.0 ... 0.002257 0.006772 0.006772 \n",
- "3 0.5 5.5 ... 0.006304 0.004728 0.012608 \n",
+ "1 0.0 10.0 ... 0.007364 0.001473 0.006627 \n",
+ "2 0.0 6.0 ... 0.001876 0.007505 0.005629 \n",
+ "3 0.5 5.5 ... 0.005993 0.005243 0.013483 \n",
"4 0.5 5.0 ... 0.013018 0.003550 0.015385 \n",
"... ... ... ... ... ... ... \n",
- "5710 0.5 5.0 ... 0.017045 0.014205 0.019886 \n",
- "5711 0.0 5.5 ... 0.035088 0.025341 0.019493 \n",
- "5712 0.0 5.0 ... 0.041667 0.069444 0.027778 \n",
- "5713 0.0 6.0 ... 0.027027 0.005690 0.021337 \n",
- "5714 0.0 6.0 ... 0.000000 0.055556 0.000000 \n",
+ "5987 0.5 5.5 ... 0.016260 0.024390 0.016260 \n",
+ "5988 0.0 6.0 ... 0.012804 0.012164 0.011524 \n",
+ "5989 0.0 6.0 ... 0.035842 0.025986 0.018817 \n",
+ "5990 0.0 6.0 ... 0.130435 0.043478 0.043478 \n",
+ "5991 0.0 10.0 ... 0.011765 0.011765 0.000000 \n",
"\n",
" fouled aerials_won aerials_lost carries progressive_carries \\\n",
"0 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
- "1 0.006309 0.014984 0.011830 0.364353 0.008675 \n",
- "2 0.004515 0.020316 0.015801 0.483070 0.004515 \n",
- "3 0.001576 0.016548 0.011032 0.284476 0.012608 \n",
+ "1 0.005891 0.013991 0.011046 0.365243 0.008100 \n",
+ "2 0.005629 0.022514 0.015009 0.487805 0.003752 \n",
+ "3 0.001498 0.016479 0.010487 0.283895 0.011985 \n",
"4 0.008284 0.047337 0.027219 0.269822 0.002367 \n",
"... ... ... ... ... ... \n",
- "5710 0.005682 0.017045 0.022727 0.221591 0.008523 \n",
- "5711 0.015595 0.006823 0.030214 0.170565 0.024366 \n",
- "5712 0.000000 0.000000 0.027778 0.208333 0.013889 \n",
- "5713 0.019915 0.160740 0.039829 0.204836 0.001422 \n",
- "5714 0.000000 0.000000 0.111111 0.388889 0.111111 \n",
+ "5987 0.024390 0.016260 0.008130 0.252033 0.008130 \n",
+ "5988 0.010243 0.010883 0.011524 0.213828 0.008323 \n",
+ "5989 0.014337 0.008961 0.032258 0.170251 0.022401 \n",
+ "5990 0.000000 0.000000 0.130435 0.260870 0.000000 \n",
+ "5991 0.023529 0.058824 0.058824 0.247059 0.035294 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
"0 0.000000 0.000000 \n",
- "1 0.016562 0.000000 \n",
- "2 0.004515 0.000000 \n",
- "3 0.008668 0.000788 \n",
+ "1 0.016200 0.000000 \n",
+ "2 0.003752 0.000000 \n",
+ "3 0.009738 0.000749 \n",
"4 0.004734 0.000000 \n",
"... ... ... \n",
- "5710 0.011364 0.000000 \n",
- "5711 0.013645 0.009747 \n",
- "5712 0.000000 0.000000 \n",
- "5713 0.002845 0.002845 \n",
- "5714 0.000000 0.111111 \n",
+ "5987 0.008130 0.000000 \n",
+ "5988 0.014725 0.001921 \n",
+ "5989 0.013441 0.009857 \n",
+ "5990 0.000000 0.043478 \n",
+ "5991 0.011765 0.023529 \n",
"\n",
- "[5715 rows x 135 columns]"
+ "[5992 rows x 122 columns]"
]
},
- "execution_count": 63,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -2615,7 +2617,7 @@
},
{
"cell_type": "code",
- "execution_count": 64,
+ "execution_count": 18,
"id": "1db9f77f",
"metadata": {},
"outputs": [],
@@ -2627,7 +2629,7 @@
},
{
"cell_type": "code",
- "execution_count": 65,
+ "execution_count": 19,
"id": "f56df3ca",
"metadata": {},
"outputs": [
@@ -2689,15 +2691,15 @@
" 0.0 \n",
" 10.0 \n",
" ... \n",
- " 0.007886 \n",
- " 0.001577 \n",
- " 0.006309 \n",
- " 0.006309 \n",
- " 0.014984 \n",
- " 0.011830 \n",
- " 0.364353 \n",
- " 0.008675 \n",
- " 0.016562 \n",
+ " 0.007364 \n",
+ " 0.001473 \n",
+ " 0.006627 \n",
+ " 0.005891 \n",
+ " 0.013991 \n",
+ " 0.011046 \n",
+ " 0.365243 \n",
+ " 0.008100 \n",
+ " 0.016200 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2713,15 +2715,15 @@
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.002257 \n",
- " 0.006772 \n",
- " 0.006772 \n",
- " 0.004515 \n",
- " 0.020316 \n",
- " 0.015801 \n",
- " 0.483070 \n",
- " 0.004515 \n",
- " 0.004515 \n",
+ " 0.001876 \n",
+ " 0.007505 \n",
+ " 0.005629 \n",
+ " 0.005629 \n",
+ " 0.022514 \n",
+ " 0.015009 \n",
+ " 0.487805 \n",
+ " 0.003752 \n",
+ " 0.003752 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2737,16 +2739,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.006304 \n",
- " 0.004728 \n",
- " 0.012608 \n",
- " 0.001576 \n",
- " 0.016548 \n",
- " 0.011032 \n",
- " 0.284476 \n",
- " 0.012608 \n",
- " 0.008668 \n",
- " 0.000788 \n",
+ " 0.005993 \n",
+ " 0.005243 \n",
+ " 0.013483 \n",
+ " 0.001498 \n",
+ " 0.016479 \n",
+ " 0.010487 \n",
+ " 0.283895 \n",
+ " 0.011985 \n",
+ " 0.009738 \n",
+ " 0.000749 \n",
" \n",
" \n",
" 4 \n",
@@ -2785,16 +2787,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.027027 \n",
- " 0.009009 \n",
- " 0.018018 \n",
" 0.000000 \n",
- " 0.022523 \n",
- " 0.004505 \n",
- " 0.351351 \n",
- " 0.049550 \n",
- " 0.031532 \n",
- " 0.009009 \n",
+ " 0.000000 \n",
+ " 0.022222 \n",
+ " 0.000000 \n",
+ " 0.011111 \n",
+ " 0.022222 \n",
+ " 0.533333 \n",
+ " 0.066667 \n",
+ " 0.066667 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -2821,187 +2823,187 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.017045 \n",
- " 0.014205 \n",
- " 0.019886 \n",
- " 0.005682 \n",
- " 0.017045 \n",
- " 0.022727 \n",
- " 0.221591 \n",
- " 0.008523 \n",
- " 0.011364 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.008130 \n",
+ " 0.252033 \n",
+ " 0.008130 \n",
+ " 0.008130 \n",
" 0.000000 \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 0.012804 \n",
+ " 0.012164 \n",
+ " 0.011524 \n",
+ " 0.010243 \n",
+ " 0.010883 \n",
+ " 0.011524 \n",
+ " 0.213828 \n",
+ " 0.008323 \n",
+ " 0.014725 \n",
+ " 0.001921 \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 0.035088 \n",
- " 0.025341 \n",
- " 0.019493 \n",
- " 0.015595 \n",
- " 0.006823 \n",
- " 0.030214 \n",
- " 0.170565 \n",
- " 0.024366 \n",
- " 0.013645 \n",
- " 0.009747 \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.041667 \n",
- " 0.069444 \n",
- " 0.027778 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.027778 \n",
- " 0.208333 \n",
- " 0.013889 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.027027 \n",
- " 0.005690 \n",
- " 0.021337 \n",
- " 0.019915 \n",
- " 0.160740 \n",
- " 0.039829 \n",
- " 0.204836 \n",
- " 0.001422 \n",
- " 0.002845 \n",
- " 0.002845 \n",
+ " 0.035842 \n",
+ " 0.025986 \n",
+ " 0.018817 \n",
+ " 0.014337 \n",
+ " 0.008961 \n",
+ " 0.032258 \n",
+ " 0.170251 \n",
+ " 0.022401 \n",
+ " 0.013441 \n",
+ " 0.009857 \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
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+ " 0.130435 \n",
+ " 0.043478 \n",
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+ " 0.130435 \n",
+ " 0.260870 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.043478 \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" ... \n",
+ " 0.011765 \n",
+ " 0.011765 \n",
" 0.000000 \n",
- " 0.055556 \n",
- " 0.000000 \n",
- " 0.000000 \n",
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- " 0.111111 \n",
- " 0.388889 \n",
- " 0.111111 \n",
- " 0.000000 \n",
- " 0.111111 \n",
+ " 0.023529 \n",
+ " 0.058824 \n",
+ " 0.058824 \n",
+ " 0.247059 \n",
+ " 0.035294 \n",
+ " 0.011765 \n",
+ " 0.023529 \n",
" \n",
" \n",
"\n",
- "5069 rows × 135 columns
\n",
+ "5326 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "5 1 Zortea Atalanta Sampdoria 0 6.0 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "5 1 Zortea Atalanta Sampdoria 0 6.0 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
" cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
- "1 0.0 10.0 ... 0.007886 0.001577 0.006309 \n",
- "2 0.0 6.0 ... 0.002257 0.006772 0.006772 \n",
- "3 0.5 5.5 ... 0.006304 0.004728 0.012608 \n",
+ "1 0.0 10.0 ... 0.007364 0.001473 0.006627 \n",
+ "2 0.0 6.0 ... 0.001876 0.007505 0.005629 \n",
+ "3 0.5 5.5 ... 0.005993 0.005243 0.013483 \n",
"4 0.5 5.0 ... 0.013018 0.003550 0.015385 \n",
- "5 0.5 5.5 ... 0.027027 0.009009 0.018018 \n",
+ "5 0.5 5.5 ... 0.000000 0.000000 0.022222 \n",
"... ... ... ... ... ... ... \n",
- "5710 0.5 5.0 ... 0.017045 0.014205 0.019886 \n",
- "5711 0.0 5.5 ... 0.035088 0.025341 0.019493 \n",
- "5712 0.0 5.0 ... 0.041667 0.069444 0.027778 \n",
- "5713 0.0 6.0 ... 0.027027 0.005690 0.021337 \n",
- "5714 0.0 6.0 ... 0.000000 0.055556 0.000000 \n",
+ "5987 0.5 5.5 ... 0.016260 0.024390 0.016260 \n",
+ "5988 0.0 6.0 ... 0.012804 0.012164 0.011524 \n",
+ "5989 0.0 6.0 ... 0.035842 0.025986 0.018817 \n",
+ "5990 0.0 6.0 ... 0.130435 0.043478 0.043478 \n",
+ "5991 0.0 10.0 ... 0.011765 0.011765 0.000000 \n",
"\n",
" fouled aerials_won aerials_lost carries progressive_carries \\\n",
- "1 0.006309 0.014984 0.011830 0.364353 0.008675 \n",
- "2 0.004515 0.020316 0.015801 0.483070 0.004515 \n",
- "3 0.001576 0.016548 0.011032 0.284476 0.012608 \n",
+ "1 0.005891 0.013991 0.011046 0.365243 0.008100 \n",
+ "2 0.005629 0.022514 0.015009 0.487805 0.003752 \n",
+ "3 0.001498 0.016479 0.010487 0.283895 0.011985 \n",
"4 0.008284 0.047337 0.027219 0.269822 0.002367 \n",
- "5 0.000000 0.022523 0.004505 0.351351 0.049550 \n",
+ "5 0.000000 0.011111 0.022222 0.533333 0.066667 \n",
"... ... ... ... ... ... \n",
- "5710 0.005682 0.017045 0.022727 0.221591 0.008523 \n",
- "5711 0.015595 0.006823 0.030214 0.170565 0.024366 \n",
- "5712 0.000000 0.000000 0.027778 0.208333 0.013889 \n",
- "5713 0.019915 0.160740 0.039829 0.204836 0.001422 \n",
- "5714 0.000000 0.000000 0.111111 0.388889 0.111111 \n",
+ "5987 0.024390 0.016260 0.008130 0.252033 0.008130 \n",
+ "5988 0.010243 0.010883 0.011524 0.213828 0.008323 \n",
+ "5989 0.014337 0.008961 0.032258 0.170251 0.022401 \n",
+ "5990 0.000000 0.000000 0.130435 0.260870 0.000000 \n",
+ "5991 0.023529 0.058824 0.058824 0.247059 0.035294 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
- "1 0.016562 0.000000 \n",
- "2 0.004515 0.000000 \n",
- "3 0.008668 0.000788 \n",
+ "1 0.016200 0.000000 \n",
+ "2 0.003752 0.000000 \n",
+ "3 0.009738 0.000749 \n",
"4 0.004734 0.000000 \n",
- "5 0.031532 0.009009 \n",
+ "5 0.066667 0.000000 \n",
"... ... ... \n",
- "5710 0.011364 0.000000 \n",
- "5711 0.013645 0.009747 \n",
- "5712 0.000000 0.000000 \n",
- "5713 0.002845 0.002845 \n",
- "5714 0.000000 0.111111 \n",
+ "5987 0.008130 0.000000 \n",
+ "5988 0.014725 0.001921 \n",
+ "5989 0.013441 0.009857 \n",
+ "5990 0.000000 0.043478 \n",
+ "5991 0.011765 0.023529 \n",
"\n",
- "[5069 rows x 135 columns]"
+ "[5326 rows x 122 columns]"
]
},
- "execution_count": 65,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -3020,7 +3022,7 @@
},
{
"cell_type": "code",
- "execution_count": 66,
+ "execution_count": 20,
"id": "df26c8e0",
"metadata": {},
"outputs": [],
@@ -3187,7 +3189,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 34,
"id": "01bb7413",
"metadata": {},
"outputs": [
@@ -3262,7 +3264,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 23,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
@@ -3281,7 +3283,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 35,
"id": "02f961d8",
"metadata": {},
"outputs": [],
@@ -3316,7 +3318,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -3333,8 +3335,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -3349,7 +3351,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -3366,8 +3368,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -3394,7 +3396,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 36,
"id": "5e3694a0",
"metadata": {},
"outputs": [],
@@ -3418,7 +3420,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 37,
"id": "9b671646",
"metadata": {},
"outputs": [
@@ -3469,59 +3471,59 @@
" \n",
" \n",
" Consigli \n",
- " 18.0 \n",
- " 18.0 \n",
- " 1620.0 \n",
- " 1.56 \n",
- " 56.9 \n",
- " 27.8 \n",
- " -0.29 \n",
- " 42.1 \n",
- " 31.8 \n",
- " 34.6 \n",
+ " 19 \n",
+ " 19 \n",
+ " 1710 \n",
+ " 1.47 \n",
+ " 58.3 \n",
+ " 31.6 \n",
+ " -0.25 \n",
+ " 41.6 \n",
+ " 31.0 \n",
+ " 34.3 \n",
" ... \n",
- " 22.8 \n",
- " 0.36 \n",
- " -5.2 \n",
- " 110.0 \n",
- " 261.0 \n",
- " 651.0 \n",
- " 95.0 \n",
- " 167.0 \n",
- " 236.0 \n",
- " 14.0 \n",
+ " 23.3 \n",
+ " 0.35 \n",
+ " -4.7 \n",
+ " 112.0 \n",
+ " 269.0 \n",
+ " 686.0 \n",
+ " 99.0 \n",
+ " 172.0 \n",
+ " 255.0 \n",
+ " 16.0 \n",
" \n",
" \n",
"\n",
- "1 rows × 98 columns
\n",
+ "1 rows × 92 columns
\n",
""
],
"text/plain": [
" gk_games gk_games_starts gk_minutes gk_goals_against_per90 \\\n",
- "Consigli 18.0 18.0 1620.0 1.56 \n",
+ "Consigli 19 19 1710 1.47 \n",
"\n",
" gk_save_pct gk_clean_sheets_pct gk_psxg_net_per90 \\\n",
- "Consigli 56.9 27.8 -0.29 \n",
+ "Consigli 58.3 31.6 -0.25 \n",
"\n",
" gk_passes_pct_launched gk_pct_passes_launched \\\n",
- "Consigli 42.1 31.8 \n",
+ "Consigli 41.6 31.0 \n",
"\n",
" gk_passes_length_avg ... gk_psxg \\\n",
- "Consigli 34.6 ... 22.8 \n",
+ "Consigli 34.3 ... 23.3 \n",
"\n",
" gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "Consigli 0.36 -5.2 \n",
+ "Consigli 0.35 -4.7 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "Consigli 110.0 261.0 651.0 \n",
+ "Consigli 112.0 269.0 686.0 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "Consigli 95.0 167.0 236.0 14.0 \n",
+ "Consigli 99.0 172.0 255.0 16.0 \n",
"\n",
- "[1 rows x 98 columns]"
+ "[1 rows x 92 columns]"
]
},
- "execution_count": 26,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
@@ -3536,7 +3538,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 38,
"id": "33f805a9",
"metadata": {},
"outputs": [
@@ -3601,7 +3603,9 @@
"5400\n",
"5500\n",
"5600\n",
- "5700\n"
+ "5700\n",
+ "5800\n",
+ "5900\n"
]
}
],
@@ -3631,7 +3635,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 39,
"id": "4d484846",
"metadata": {},
"outputs": [
@@ -3693,16 +3697,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 11.1 \n",
- " 0.22 \n",
- " -1.9 \n",
- " 79.0 \n",
- " 172.0 \n",
- " 340.0 \n",
+ " 12.7 \n",
+ " 0.21 \n",
+ " -1.3 \n",
+ " 81.0 \n",
+ " 185.0 \n",
+ " 372.0 \n",
+ " 107.0 \n",
" 98.0 \n",
- " 92.0 \n",
- " 161.0 \n",
- " 8.0 \n",
+ " 174.0 \n",
+ " 10.0 \n",
" \n",
" \n",
" 1 \n",
@@ -3825,17 +3829,17 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3849,60 +3853,36 @@
" NaN \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
@@ -3921,17 +3901,41 @@
" NaN \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3946,79 +3950,79 @@
" \n",
" \n",
"\n",
- "5715 rows × 108 columns
\n",
+ "5992 rows × 102 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
- " cards_malus fantavote ... gk_psxg \\\n",
- "0 0.5 5.5 ... 11.1 \n",
- "1 0.0 10.0 ... NaN \n",
- "2 0.0 6.0 ... NaN \n",
- "3 0.5 5.5 ... NaN \n",
- "4 0.5 5.0 ... NaN \n",
- "... ... ... ... ... \n",
- "5710 0.5 5.0 ... NaN \n",
- "5711 0.0 5.5 ... NaN \n",
- "5712 0.0 5.0 ... NaN \n",
- "5713 0.0 6.0 ... NaN \n",
- "5714 0.0 6.0 ... NaN \n",
+ " cards_malus fantavote ... gk_psxg \\\n",
+ "0 0.5 5.5 ... 12.7 \n",
+ "1 0.0 10.0 ... NaN \n",
+ "2 0.0 6.0 ... NaN \n",
+ "3 0.5 5.5 ... NaN \n",
+ "4 0.5 5.0 ... NaN \n",
+ "... ... ... ... ... \n",
+ "5987 0.5 5.5 ... NaN \n",
+ "5988 0.0 6.0 ... NaN \n",
+ "5989 0.0 6.0 ... NaN \n",
+ "5990 0.0 6.0 ... NaN \n",
+ "5991 0.0 10.0 ... NaN \n",
"\n",
- " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.22 -1.9 \n",
- "1 NaN NaN \n",
- "2 NaN NaN \n",
- "3 NaN NaN \n",
- "4 NaN NaN \n",
- "... ... ... \n",
- "5710 NaN NaN \n",
- "5711 NaN NaN \n",
- "5712 NaN NaN \n",
- "5713 NaN NaN \n",
- "5714 NaN NaN \n",
+ " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
+ "0 0.21 -1.3 \n",
+ "1 NaN NaN \n",
+ "2 NaN NaN \n",
+ "3 NaN NaN \n",
+ "4 NaN NaN \n",
+ "... ... ... \n",
+ "5987 NaN NaN \n",
+ "5988 NaN NaN \n",
+ "5989 NaN NaN \n",
+ "5990 NaN NaN \n",
+ "5991 NaN NaN \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 79.0 172.0 340.0 \n",
+ "0 81.0 185.0 372.0 \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"... ... ... ... \n",
- "5710 NaN NaN NaN \n",
- "5711 NaN NaN NaN \n",
- "5712 NaN NaN NaN \n",
- "5713 NaN NaN NaN \n",
- "5714 NaN NaN NaN \n",
+ "5987 NaN NaN NaN \n",
+ "5988 NaN NaN NaN \n",
+ "5989 NaN NaN NaN \n",
+ "5990 NaN NaN NaN \n",
+ "5991 NaN NaN NaN \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 98.0 92.0 161.0 8.0 \n",
+ "0 107.0 98.0 174.0 10.0 \n",
"1 NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN \n",
"3 NaN NaN NaN NaN \n",
"4 NaN NaN NaN NaN \n",
"... ... ... ... ... \n",
- "5710 NaN NaN NaN NaN \n",
- "5711 NaN NaN NaN NaN \n",
- "5712 NaN NaN NaN NaN \n",
- "5713 NaN NaN NaN NaN \n",
- "5714 NaN NaN NaN NaN \n",
+ "5987 NaN NaN NaN NaN \n",
+ "5988 NaN NaN NaN NaN \n",
+ "5989 NaN NaN NaN NaN \n",
+ "5990 NaN NaN NaN NaN \n",
+ "5991 NaN NaN NaN NaN \n",
"\n",
- "[5715 rows x 108 columns]"
+ "[5992 rows x 102 columns]"
]
},
- "execution_count": 28,
+ "execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
@@ -4029,7 +4033,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 40,
"id": "adab3577",
"metadata": {},
"outputs": [],
@@ -4039,7 +4043,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 41,
"id": "e7ae792d",
"metadata": {},
"outputs": [
@@ -4101,16 +4105,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 11.10 \n",
- " 0.220 \n",
- " -1.90 \n",
- " 79.0 \n",
- " 172.0 \n",
- " 340.0 \n",
+ " 12.70 \n",
+ " 0.21 \n",
+ " -1.30 \n",
+ " 81.0 \n",
+ " 185.0 \n",
+ " 372.0 \n",
+ " 107.0 \n",
" 98.0 \n",
- " 92.0 \n",
- " 161.0 \n",
- " 8.0 \n",
+ " 174.0 \n",
+ " 10.0 \n",
" \n",
" \n",
" 15 \n",
@@ -4125,15 +4129,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 28.70 \n",
- " 0.280 \n",
- " 0.70 \n",
- " 86.0 \n",
- " 220.0 \n",
- " 545.0 \n",
- " 116.0 \n",
- " 141.0 \n",
- " 280.0 \n",
+ " 30.80 \n",
+ " 0.28 \n",
+ " 1.80 \n",
+ " 99.0 \n",
+ " 240.0 \n",
+ " 563.0 \n",
+ " 117.0 \n",
+ " 153.0 \n",
+ " 299.0 \n",
" 18.0 \n",
" \n",
" \n",
@@ -4149,15 +4153,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 25.00 \n",
- " 0.270 \n",
- " 1.00 \n",
- " 101.0 \n",
- " 307.0 \n",
- " 740.0 \n",
- " 112.0 \n",
- " 107.0 \n",
- " 412.0 \n",
+ " 26.40 \n",
+ " 0.27 \n",
+ " 0.40 \n",
+ " 102.0 \n",
+ " 310.0 \n",
+ " 766.0 \n",
+ " 113.0 \n",
+ " 108.0 \n",
+ " 426.0 \n",
" 25.0 \n",
" \n",
" \n",
@@ -4173,15 +4177,15 @@
" 0.0 \n",
" 3.0 \n",
" ... \n",
- " 9.15 \n",
- " 0.245 \n",
- " 0.65 \n",
- " 23.5 \n",
- " 66.5 \n",
- " 279.5 \n",
- " 44.5 \n",
- " 64.5 \n",
- " 118.5 \n",
+ " 9.35 \n",
+ " 0.24 \n",
+ " 0.85 \n",
+ " 24.0 \n",
+ " 68.0 \n",
+ " 291.5 \n",
+ " 47.0 \n",
+ " 69.5 \n",
+ " 122.5 \n",
" 3.5 \n",
" \n",
" \n",
@@ -4198,7 +4202,7 @@
" 5.5 \n",
" ... \n",
" 10.60 \n",
- " 0.300 \n",
+ " 0.30 \n",
" -1.40 \n",
" 27.0 \n",
" 52.0 \n",
@@ -4233,83 +4237,107 @@
" ... \n",
" \n",
" \n",
- " 5645 \n",
- " 20 \n",
+ " 5929 \n",
+ " 21 \n",
" Consigli \n",
" Sassuolo \n",
- " Milan \n",
- " 0 \n",
+ " Atalanta \n",
+ " 1 \n",
" 6.0 \n",
- " -2 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 4.0 \n",
+ " 6.0 \n",
" ... \n",
- " 22.80 \n",
- " 0.360 \n",
- " -5.20 \n",
- " 110.0 \n",
- " 261.0 \n",
- " 651.0 \n",
- " 95.0 \n",
- " 167.0 \n",
- " 236.0 \n",
- " 14.0 \n",
+ " 23.30 \n",
+ " 0.35 \n",
+ " -4.70 \n",
+ " 112.0 \n",
+ " 269.0 \n",
+ " 686.0 \n",
+ " 99.0 \n",
+ " 172.0 \n",
+ " 255.0 \n",
+ " 16.0 \n",
" \n",
" \n",
- " 5658 \n",
- " 20 \n",
+ " 5942 \n",
+ " 21 \n",
" Dragowski \n",
" Spezia \n",
- " Bologna \n",
- " 0 \n",
- " 6.5 \n",
- " -2 \n",
+ " Napoli \n",
+ " 1 \n",
+ " 5.0 \n",
+ " -3 \n",
" 0 \n",
" 0.0 \n",
- " 4.5 \n",
+ " 2.0 \n",
" ... \n",
- " 26.00 \n",
- " 0.280 \n",
- " -3.00 \n",
+ " 28.10 \n",
+ " 0.27 \n",
+ " -3.90 \n",
" 85.0 \n",
- " 255.0 \n",
- " 479.0 \n",
- " 87.0 \n",
- " 106.0 \n",
- " 235.0 \n",
+ " 268.0 \n",
+ " 503.0 \n",
+ " 92.0 \n",
+ " 109.0 \n",
+ " 251.0 \n",
" 9.0 \n",
" \n",
" \n",
- " 5673 \n",
- " 20 \n",
+ " 5953 \n",
+ " 21 \n",
" Milinkovic-Savic V. \n",
" Torino \n",
- " Empoli \n",
+ " Udinese \n",
+ " 1 \n",
+ " 6.5 \n",
" 0 \n",
- " 5.5 \n",
- " -2 \n",
" 0 \n",
" 0.0 \n",
- " 3.5 \n",
+ " 6.5 \n",
" ... \n",
- " 21.30 \n",
- " 0.240 \n",
- " -0.70 \n",
- " 145.0 \n",
- " 510.0 \n",
- " 763.0 \n",
- " 87.0 \n",
- " 149.0 \n",
- " 244.0 \n",
+ " 21.90 \n",
+ " 0.23 \n",
+ " -0.10 \n",
+ " 148.0 \n",
+ " 524.0 \n",
+ " 788.0 \n",
+ " 95.0 \n",
+ " 155.0 \n",
+ " 263.0 \n",
" 18.0 \n",
" \n",
" \n",
- " 5688 \n",
- " 20 \n",
+ " 5966 \n",
+ " 21 \n",
" Silvestri \n",
" Udinese \n",
+ " Torino \n",
+ " 0 \n",
+ " 6.5 \n",
+ " -1 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 23.90 \n",
+ " 0.31 \n",
+ " 1.90 \n",
+ " 90.0 \n",
+ " 225.0 \n",
+ " 450.0 \n",
+ " 76.0 \n",
+ " 164.0 \n",
+ " 275.0 \n",
+ " 5.0 \n",
+ " \n",
+ " \n",
+ " 5980 \n",
+ " 21 \n",
+ " Montipo' \n",
" Verona \n",
+ " Lazio \n",
" 1 \n",
" 6.0 \n",
" -1 \n",
@@ -4317,44 +4345,20 @@
" 0.0 \n",
" 5.0 \n",
" ... \n",
- " 22.60 \n",
- " 0.320 \n",
- " 1.60 \n",
- " 83.0 \n",
- " 211.0 \n",
- " 432.0 \n",
- " 74.0 \n",
- " 154.0 \n",
- " 263.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 5700 \n",
- " 20 \n",
- " Montipo' \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 26.80 \n",
- " 0.250 \n",
- " -4.20 \n",
- " 187.0 \n",
- " 374.0 \n",
- " 462.0 \n",
- " 64.0 \n",
- " 159.0 \n",
- " 279.0 \n",
- " 12.0 \n",
+ " 27.60 \n",
+ " 0.25 \n",
+ " -4.40 \n",
+ " 206.0 \n",
+ " 413.0 \n",
+ " 497.0 \n",
+ " 65.0 \n",
+ " 168.0 \n",
+ " 294.0 \n",
+ " 15.0 \n",
" \n",
" \n",
"\n",
- "395 rows × 108 columns
\n",
+ "415 rows × 102 columns
\n",
""
],
"text/plain": [
@@ -4365,68 +4369,68 @@
"57 1 Gollini Fiorentina Cremonese 1 5.0 -2 \n",
"71 1 Handanovic Inter Lecce 0 6.5 -1 \n",
"... ... ... ... ... ... ... ... \n",
- "5645 20 Consigli Sassuolo Milan 0 6.0 -2 \n",
- "5658 20 Dragowski Spezia Bologna 0 6.5 -2 \n",
- "5673 20 Milinkovic-Savic V. Torino Empoli 0 5.5 -2 \n",
- "5688 20 Silvestri Udinese Verona 1 6.0 -1 \n",
- "5700 20 Montipo' Verona Udinese 0 6.5 -1 \n",
+ "5929 21 Consigli Sassuolo Atalanta 1 6.0 0 \n",
+ "5942 21 Dragowski Spezia Napoli 1 5.0 -3 \n",
+ "5953 21 Milinkovic-Savic V. Torino Udinese 1 6.5 0 \n",
+ "5966 21 Silvestri Udinese Torino 0 6.5 -1 \n",
+ "5980 21 Montipo' Verona Lazio 1 6.0 -1 \n",
"\n",
- " assists cards_malus fantavote ... gk_psxg \\\n",
- "0 0 0.5 5.5 ... 11.10 \n",
- "15 0 0.0 4.5 ... 28.70 \n",
- "44 0 0.0 4.5 ... 25.00 \n",
- "57 0 0.0 3.0 ... 9.15 \n",
- "71 0 0.0 5.5 ... 10.60 \n",
- "... ... ... ... ... ... \n",
- "5645 0 0.0 4.0 ... 22.80 \n",
- "5658 0 0.0 4.5 ... 26.00 \n",
- "5673 0 0.0 3.5 ... 21.30 \n",
- "5688 0 0.0 5.0 ... 22.60 \n",
- "5700 0 0.0 5.5 ... 26.80 \n",
+ " assists cards_malus fantavote ... gk_psxg \\\n",
+ "0 0 0.5 5.5 ... 12.70 \n",
+ "15 0 0.0 4.5 ... 30.80 \n",
+ "44 0 0.0 4.5 ... 26.40 \n",
+ "57 0 0.0 3.0 ... 9.35 \n",
+ "71 0 0.0 5.5 ... 10.60 \n",
+ "... ... ... ... ... ... \n",
+ "5929 0 0.0 6.0 ... 23.30 \n",
+ "5942 0 0.0 2.0 ... 28.10 \n",
+ "5953 0 0.0 6.5 ... 21.90 \n",
+ "5966 0 0.0 5.5 ... 23.90 \n",
+ "5980 0 0.0 5.0 ... 27.60 \n",
"\n",
- " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.220 -1.90 \n",
- "15 0.280 0.70 \n",
- "44 0.270 1.00 \n",
- "57 0.245 0.65 \n",
- "71 0.300 -1.40 \n",
- "... ... ... \n",
- "5645 0.360 -5.20 \n",
- "5658 0.280 -3.00 \n",
- "5673 0.240 -0.70 \n",
- "5688 0.320 1.60 \n",
- "5700 0.250 -4.20 \n",
+ " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
+ "0 0.21 -1.30 \n",
+ "15 0.28 1.80 \n",
+ "44 0.27 0.40 \n",
+ "57 0.24 0.85 \n",
+ "71 0.30 -1.40 \n",
+ "... ... ... \n",
+ "5929 0.35 -4.70 \n",
+ "5942 0.27 -3.90 \n",
+ "5953 0.23 -0.10 \n",
+ "5966 0.31 1.90 \n",
+ "5980 0.25 -4.40 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 79.0 172.0 340.0 \n",
- "15 86.0 220.0 545.0 \n",
- "44 101.0 307.0 740.0 \n",
- "57 23.5 66.5 279.5 \n",
+ "0 81.0 185.0 372.0 \n",
+ "15 99.0 240.0 563.0 \n",
+ "44 102.0 310.0 766.0 \n",
+ "57 24.0 68.0 291.5 \n",
"71 27.0 52.0 266.0 \n",
"... ... ... ... \n",
- "5645 110.0 261.0 651.0 \n",
- "5658 85.0 255.0 479.0 \n",
- "5673 145.0 510.0 763.0 \n",
- "5688 83.0 211.0 432.0 \n",
- "5700 187.0 374.0 462.0 \n",
+ "5929 112.0 269.0 686.0 \n",
+ "5942 85.0 268.0 503.0 \n",
+ "5953 148.0 524.0 788.0 \n",
+ "5966 90.0 225.0 450.0 \n",
+ "5980 206.0 413.0 497.0 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 98.0 92.0 161.0 8.0 \n",
- "15 116.0 141.0 280.0 18.0 \n",
- "44 112.0 107.0 412.0 25.0 \n",
- "57 44.5 64.5 118.5 3.5 \n",
+ "0 107.0 98.0 174.0 10.0 \n",
+ "15 117.0 153.0 299.0 18.0 \n",
+ "44 113.0 108.0 426.0 25.0 \n",
+ "57 47.0 69.5 122.5 3.5 \n",
"71 46.0 45.0 79.0 2.0 \n",
"... ... ... ... ... \n",
- "5645 95.0 167.0 236.0 14.0 \n",
- "5658 87.0 106.0 235.0 9.0 \n",
- "5673 87.0 149.0 244.0 18.0 \n",
- "5688 74.0 154.0 263.0 5.0 \n",
- "5700 64.0 159.0 279.0 12.0 \n",
+ "5929 99.0 172.0 255.0 16.0 \n",
+ "5942 92.0 109.0 251.0 9.0 \n",
+ "5953 95.0 155.0 263.0 18.0 \n",
+ "5966 76.0 164.0 275.0 5.0 \n",
+ "5980 65.0 168.0 294.0 15.0 \n",
"\n",
- "[395 rows x 108 columns]"
+ "[415 rows x 102 columns]"
]
},
- "execution_count": 30,
+ "execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
@@ -4445,7 +4449,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 42,
"id": "d8b8b6da",
"metadata": {},
"outputs": [],
diff --git a/.ipynb_checkpoints/4b_player_match_dataset_creation_oldseasons-checkpoint.ipynb b/.ipynb_checkpoints/4b_player_match_dataset_creation_oldseasons-checkpoint.ipynb
index af2c886..64b75ae 100644
--- a/.ipynb_checkpoints/4b_player_match_dataset_creation_oldseasons-checkpoint.ipynb
+++ b/.ipynb_checkpoints/4b_player_match_dataset_creation_oldseasons-checkpoint.ipynb
@@ -12,17 +12,17 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 18,
"id": "8a74364d",
"metadata": {},
"outputs": [],
"source": [
- "season = '2021'"
+ "season = '2122'"
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 19,
"id": "8a6867a5",
"metadata": {},
"outputs": [
@@ -30,7 +30,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5084\\813865162.py:21: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7860\\813865162.py:21: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -588,7 +588,7 @@
" \n",
" \n",
"\n",
- "20 rows × 321 columns
\n",
+ "20 rows × 303 columns
\n",
""
],
"text/plain": [
@@ -753,10 +753,10 @@
"Udinese 453.0 54.1 \n",
"Venezia 564.0 50.8 \n",
"\n",
- "[20 rows x 321 columns]"
+ "[20 rows x 303 columns]"
]
},
- "execution_count": 2,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -792,7 +792,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 20,
"id": "b6a3db98",
"metadata": {},
"outputs": [],
@@ -802,7 +802,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 21,
"id": "c34eb398",
"metadata": {},
"outputs": [
@@ -1040,8 +1040,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.106778 \n",
- " 0.250641 \n",
+ " 6.021546 \n",
+ " 0.218643 \n",
" \n",
" \n",
" Munteanu \n",
@@ -1064,8 +1064,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.284484 \n",
- " 0.401907 \n",
+ " 6.102453 \n",
+ " 0.487258 \n",
" \n",
" \n",
" Buksa \n",
@@ -1088,8 +1088,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.942560 \n",
- " 0.627453 \n",
+ " 6.048102 \n",
+ " 0.507697 \n",
" \n",
" \n",
" Kaio Jorge \n",
@@ -1112,8 +1112,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.946936 \n",
- " 0.380747 \n",
+ " 5.949358 \n",
+ " 0.265907 \n",
" \n",
" \n",
" Lazetic \n",
@@ -1136,12 +1136,12 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.158530 \n",
- " 0.318287 \n",
+ " 6.243982 \n",
+ " 0.373505 \n",
" \n",
" \n",
"\n",
- "550 rows × 169 columns
\n",
+ "550 rows × 160 columns
\n",
""
],
"text/plain": [
@@ -1223,16 +1223,16 @@
"Handanovic 11.2 6.162162 0.533399 \n",
"Berisha 14.6 6.100000 0.700000 \n",
"... ... ... ... \n",
- "Kokorin 0.0 6.106778 0.250641 \n",
- "Munteanu 0.0 6.284484 0.401907 \n",
- "Buksa 0.0 5.942560 0.627453 \n",
- "Kaio Jorge 0.0 5.946936 0.380747 \n",
- "Lazetic 0.0 6.158530 0.318287 \n",
+ "Kokorin 0.0 6.021546 0.218643 \n",
+ "Munteanu 0.0 6.102453 0.487258 \n",
+ "Buksa 0.0 6.048102 0.507697 \n",
+ "Kaio Jorge 0.0 5.949358 0.265907 \n",
+ "Lazetic 0.0 6.243982 0.373505 \n",
"\n",
- "[550 rows x 169 columns]"
+ "[550 rows x 160 columns]"
]
},
- "execution_count": 4,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@@ -1246,7 +1246,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 22,
"id": "f9f7f88c",
"metadata": {},
"outputs": [],
@@ -1271,25 +1271,109 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 23,
"id": "7eb4e666",
"metadata": {},
"outputs": [
{
- "ename": "PermissionError",
- "evalue": "[Errno 13] Permission denied: 'tmp/playermatchdata.xlsx'",
- "output_type": "error",
- "traceback": [
- "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[1;31mPermissionError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_5084\\2433661448.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mtest\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplayer_match_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Immobile'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'Lazio'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'Atalanta'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mtest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_excel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'tmp/playermatchdata.xlsx'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mtest\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mto_excel\u001b[1;34m(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, encoding, inf_rep, verbose, freeze_panes, storage_options)\u001b[0m\n\u001b[0;32m 2343\u001b[0m \u001b[0minf_rep\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minf_rep\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2344\u001b[0m )\n\u001b[1;32m-> 2345\u001b[1;33m formatter.write(\n\u001b[0m\u001b[0;32m 2346\u001b[0m \u001b[0mexcel_writer\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2347\u001b[0m \u001b[0msheet_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msheet_name\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\io\\formats\\excel.py\u001b[0m in \u001b[0;36mwrite\u001b[1;34m(self, writer, sheet_name, startrow, startcol, freeze_panes, engine, storage_options)\u001b[0m\n\u001b[0;32m 886\u001b[0m \u001b[1;31m# error: Cannot instantiate abstract class 'ExcelWriter' with abstract\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 887\u001b[0m \u001b[1;31m# attributes 'engine', 'save', 'supported_extensions' and 'write_cells'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 888\u001b[1;33m writer = ExcelWriter( # type: ignore[abstract]\n\u001b[0m\u001b[0;32m 889\u001b[0m \u001b[0mwriter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstorage_options\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstorage_options\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 890\u001b[0m )\n",
- "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\io\\excel\\_xlsxwriter.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs, **kwargs)\u001b[0m\n\u001b[0;32m 189\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Append mode is not supported with xlsxwriter!\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 190\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 191\u001b[1;33m super().__init__(\n\u001b[0m\u001b[0;32m 192\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 193\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
- "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\io\\excel\\_base.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs, **kwargs)\u001b[0m\n\u001b[0;32m 1104\u001b[0m )\n\u001b[0;32m 1105\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mExcelWriter\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1106\u001b[1;33m self.handles = get_handle(\n\u001b[0m\u001b[0;32m 1107\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstorage_options\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstorage_options\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mis_text\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1108\u001b[0m )\n",
- "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\io\\common.py\u001b[0m in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[0;32m 793\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 794\u001b[0m \u001b[1;31m# Binary mode\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 795\u001b[1;33m \u001b[0mhandle\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mioargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 796\u001b[0m \u001b[0mhandles\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 797\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
- "\u001b[1;31mPermissionError\u001b[0m: [Errno 13] Permission denied: 'tmp/playermatchdata.xlsx'"
- ]
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " Unnamed: 0 \n",
+ " id \n",
+ " r \n",
+ " team \n",
+ " surname \n",
+ " initial \n",
+ " fb_ID \n",
+ " age \n",
+ " birth_year \n",
+ " games \n",
+ " ... \n",
+ " opp_vs_team_fouls \n",
+ " opp_vs_team_fouled \n",
+ " opp_vs_team_offsides \n",
+ " opp_vs_team_pens_won \n",
+ " opp_vs_team_pens_conceded \n",
+ " opp_vs_team_own_goals \n",
+ " opp_vs_team_ball_recoveries \n",
+ " opp_vs_team_aerials_won \n",
+ " opp_vs_team_aerials_lost \n",
+ " opp_vs_team_aerials_won_pct \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " Immobile \n",
+ " 438 \n",
+ " 785 \n",
+ " A \n",
+ " Lazio \n",
+ " Immobile \n",
+ " NaN \n",
+ " 256 \n",
+ " 31 \n",
+ " 1990 \n",
+ " 31 \n",
+ " ... \n",
+ " 491.0 \n",
+ " 488.0 \n",
+ " 69.0 \n",
+ " 4.0 \n",
+ " 6.0 \n",
+ " 3.0 \n",
+ " 2240.0 \n",
+ " 518.0 \n",
+ " 685.0 \n",
+ " 43.1 \n",
+ " \n",
+ " \n",
+ "
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+ "
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+ "
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+ ],
+ "text/plain": [
+ " Unnamed: 0 id r team surname initial fb_ID age birth_year \\\n",
+ "Immobile 438 785 A Lazio Immobile NaN 256 31 1990 \n",
+ "\n",
+ " games ... opp_vs_team_fouls opp_vs_team_fouled \\\n",
+ "Immobile 31 ... 491.0 488.0 \n",
+ "\n",
+ " opp_vs_team_offsides opp_vs_team_pens_won \\\n",
+ "Immobile 69.0 4.0 \n",
+ "\n",
+ " opp_vs_team_pens_conceded opp_vs_team_own_goals \\\n",
+ "Immobile 6.0 3.0 \n",
+ "\n",
+ " opp_vs_team_ball_recoveries opp_vs_team_aerials_won \\\n",
+ "Immobile 2240.0 518.0 \n",
+ "\n",
+ " opp_vs_team_aerials_lost opp_vs_team_aerials_won_pct \n",
+ "Immobile 685.0 43.1 \n",
+ "\n",
+ "[1 rows x 766 columns]"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
@@ -1301,10 +1385,21 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 24,
"id": "6b4c1b00",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'Lazio'"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"pteam = 'Lazio'\n",
"pteam_stats = team_data.loc[[pteam]]\n",
@@ -1313,7 +1408,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 25,
"id": "6ea6df1f",
"metadata": {},
"outputs": [
@@ -1413,7 +1508,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 7,
+ "execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
@@ -1432,7 +1527,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 26,
"id": "47bc651f",
"metadata": {},
"outputs": [],
@@ -1445,8 +1540,8 @@
" 'goals_per_shot',\n",
" 'goals_per_shot_on_target',\n",
" 'passes_pct',\n",
- " 'dribble_tackles_pct',\n",
- " 'dribbles_completed_pct',\n",
+ " #'dribble_tackles_pct',\n",
+ " #'dribbles_completed_pct',\n",
" 'aerials_won_pct',\n",
" 'team_possession',\n",
" 'team_goals_assists_per90',\n",
@@ -1461,7 +1556,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -1478,8 +1573,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -1494,7 +1589,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -1511,8 +1606,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -1536,9 +1631,9 @@
" 'passes_switches',\n",
" 'crosses',\n",
" 'corner_kicks',\n",
- " 'dribble_tackles',\n",
- " 'dribbles_vs',\n",
- " 'dribbled_past',\n",
+ " #'dribble_tackles',\n",
+ " #'dribbles_vs',\n",
+ " #'dribbled_past',\n",
" 'blocks',\n",
" 'blocked_shots',\n",
" 'blocked_passes',\n",
@@ -1552,8 +1647,8 @@
" 'touches_att_3rd',\n",
" 'touches_att_pen_area',\n",
" 'touches_live_ball',\n",
- " 'dribbles_completed',\n",
- " 'dribbles',\n",
+ " #'dribbles_completed',\n",
+ " #'dribbles',\n",
" 'passes_received',\n",
" 'miscontrols',\n",
" 'dispossessed',\n",
@@ -1578,7 +1673,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 27,
"id": "3f43d509",
"metadata": {},
"outputs": [],
@@ -1601,7 +1696,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 28,
"id": "930d00c7",
"metadata": {},
"outputs": [
@@ -1634,8 +1729,8 @@
" goals_per_shot \n",
" goals_per_shot_on_target \n",
" passes_pct \n",
- " dribble_tackles_pct \n",
- " dribbles_completed_pct \n",
+ " aerials_won_pct \n",
+ " team_possession \n",
" ... \n",
" miscontrols \n",
" dispossessed \n",
@@ -1660,8 +1755,8 @@
" 0.18 \n",
" 0.4 \n",
" 77.0 \n",
- " 6.7 \n",
- " 47.5 \n",
+ " 32.4 \n",
+ " 55.4 \n",
" ... \n",
" 0.028403 \n",
" 0.01623 \n",
@@ -1676,7 +1771,7 @@
" \n",
" \n",
"\n",
- "1 rows × 125 columns
\n",
+ "1 rows × 112 columns
\n",
""
],
"text/plain": [
@@ -1686,22 +1781,22 @@
" goals_per_shot goals_per_shot_on_target passes_pct \\\n",
"Immobile 0.18 0.4 77.0 \n",
"\n",
- " dribble_tackles_pct dribbles_completed_pct ... miscontrols \\\n",
- "Immobile 6.7 47.5 ... 0.028403 \n",
+ " aerials_won_pct team_possession ... miscontrols dispossessed \\\n",
+ "Immobile 32.4 55.4 ... 0.028403 0.01623 \n",
"\n",
- " dispossessed fouls fouled aerials_won aerials_lost \\\n",
- "Immobile 0.01623 0.013279 0.014386 0.008115 0.016968 \n",
+ " fouls fouled aerials_won aerials_lost carries \\\n",
+ "Immobile 0.013279 0.014386 0.008115 0.016968 0.267429 \n",
"\n",
- " carries progressive_carries carries_into_final_third \\\n",
- "Immobile 0.267429 0.019181 0.011435 \n",
+ " progressive_carries carries_into_final_third \\\n",
+ "Immobile 0.019181 0.011435 \n",
"\n",
" carries_into_penalty_area \n",
"Immobile 0.011435 \n",
"\n",
- "[1 rows x 125 columns]"
+ "[1 rows x 112 columns]"
]
},
- "execution_count": 10,
+ "execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
@@ -1716,7 +1811,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 29,
"id": "3ae718d2",
"metadata": {},
"outputs": [
@@ -1932,7 +2027,7 @@
"[10654 rows x 10 columns]"
]
},
- "execution_count": 11,
+ "execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
@@ -1944,7 +2039,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 30,
"id": "ec0bc56b",
"metadata": {},
"outputs": [
@@ -2001,7 +2096,61 @@
"4800\n",
"4900\n",
"5000\n",
- "5100\n"
+ "5100\n",
+ "5200\n",
+ "5300\n",
+ "5400\n",
+ "5500\n",
+ "5600\n",
+ "5700\n",
+ "5800\n",
+ "5900\n",
+ "6100\n",
+ "6200\n",
+ "6300\n",
+ "6400\n",
+ "6500\n",
+ "6600\n",
+ "6700\n",
+ "6800\n",
+ "6900\n",
+ "7000\n",
+ "7100\n",
+ "7200\n",
+ "7300\n",
+ "7400\n",
+ "7500\n",
+ "7600\n",
+ "7700\n",
+ "7800\n",
+ "7900\n",
+ "8000\n",
+ "8100\n",
+ "8200\n",
+ "8300\n",
+ "8400\n",
+ "8500\n",
+ "8600\n",
+ "8700\n",
+ "8800\n",
+ "8900\n",
+ "9000\n",
+ "9100\n",
+ "9200\n",
+ "9300\n",
+ "9400\n",
+ "9500\n",
+ "9600\n",
+ "9700\n",
+ "9800\n",
+ "9900\n",
+ "10000\n",
+ "10100\n",
+ "10200\n",
+ "10300\n",
+ "10400\n",
+ "10500\n",
+ "10600\n"
]
}
],
@@ -2029,17 +2178,392 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 31,
"id": "b292f9f9",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " matchday \n",
+ " player \n",
+ " team \n",
+ " oppteam \n",
+ " home \n",
+ " vote \n",
+ " goals \n",
+ " assists \n",
+ " cards_malus \n",
+ " fantavote \n",
+ " ... \n",
+ " miscontrols \n",
+ " dispossessed \n",
+ " fouls \n",
+ " fouled \n",
+ " aerials_won \n",
+ " aerials_lost \n",
+ " carries \n",
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"id": "1db9f77f",
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"outputs": [],
@@ -2052,17 +2576,392 @@
},
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- "execution_count": null,
+ "execution_count": 34,
"id": "df26c8e0",
"metadata": {},
"outputs": [],
@@ -2072,7 +2971,7 @@
},
{
"cell_type": "markdown",
- "id": "9f16e22b",
+ "id": "626ba83b",
"metadata": {},
"source": [
"Goalkeepers"
diff --git a/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb b/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb
index 50f8a19..102c0ce 100644
--- a/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb
+++ b/.ipynb_checkpoints/5_scraping_match_probable_players-checkpoint.ipynb
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 38,
"id": "4c7b7d26",
"metadata": {},
"outputs": [],
@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 39,
"id": "91897dbb",
"metadata": {},
"outputs": [],
@@ -38,7 +38,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 40,
"id": "7ba89027",
"metadata": {},
"outputs": [
@@ -71,33 +71,33 @@
" \n",
" \n",
" 0 \n",
- " Carnesecchi \n",
+ " Tatarusanu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
" 1 \n",
- " Bianchetti \n",
+ " Thiaw \n",
" 1 \n",
- " 55.0 \n",
+ " 65.0 \n",
" \n",
" \n",
" 2 \n",
- " Chiriches \n",
+ " Kjaer \n",
" 1 \n",
- " 80.0 \n",
+ " 85.0 \n",
" \n",
" \n",
" 3 \n",
- " Vasquez \n",
+ " Kalulu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
" 4 \n",
- " Sernicola \n",
+ " Saelemaekers \n",
" 1 \n",
- " 90.0 \n",
+ " 60.0 \n",
" \n",
" \n",
" ... \n",
@@ -106,58 +106,58 @@
" ... \n",
" \n",
" \n",
- " 444 \n",
- " Cuadrado \n",
+ " 433 \n",
+ " Dumfries \n",
" 0 \n",
" 60.0 \n",
" \n",
" \n",
- " 445 \n",
- " Pogba \n",
+ " 434 \n",
+ " Mkhitaryan \n",
+ " 0 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 435 \n",
+ " Asllani \n",
" 0 \n",
" 30.0 \n",
" \n",
" \n",
- " 446 \n",
- " Miretti \n",
+ " 436 \n",
+ " Gagliardini \n",
" 0 \n",
" 50.0 \n",
" \n",
" \n",
- " 447 \n",
- " Soule' \n",
- " 0 \n",
- " 30.0 \n",
- " \n",
- " \n",
- " 448 \n",
- " Kean \n",
+ " 437 \n",
+ " Lukaku \n",
" 0 \n",
" 60.0 \n",
" \n",
" \n",
"\n",
- "449 rows × 3 columns
\n",
+ "438 rows × 3 columns
\n",
""
],
"text/plain": [
- " player starter percentage\n",
- "0 Carnesecchi 1 90.0\n",
- "1 Bianchetti 1 55.0\n",
- "2 Chiriches 1 80.0\n",
- "3 Vasquez 1 90.0\n",
- "4 Sernicola 1 90.0\n",
- ".. ... ... ...\n",
- "444 Cuadrado 0 60.0\n",
- "445 Pogba 0 30.0\n",
- "446 Miretti 0 50.0\n",
- "447 Soule' 0 30.0\n",
- "448 Kean 0 60.0\n",
+ " player starter percentage\n",
+ "0 Tatarusanu 1 90.0\n",
+ "1 Thiaw 1 65.0\n",
+ "2 Kjaer 1 85.0\n",
+ "3 Kalulu 1 90.0\n",
+ "4 Saelemaekers 1 60.0\n",
+ ".. ... ... ...\n",
+ "433 Dumfries 0 60.0\n",
+ "434 Mkhitaryan 0 55.0\n",
+ "435 Asllani 0 30.0\n",
+ "436 Gagliardini 0 50.0\n",
+ "437 Lukaku 0 60.0\n",
"\n",
- "[449 rows x 3 columns]"
+ "[438 rows x 3 columns]"
]
},
- "execution_count": 3,
+ "execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
@@ -180,7 +180,7 @@
" starter = 0\n",
" \n",
" for j in range(len(players)):\n",
- " player = players[j].contents[0].replace('\\n \\n ', '')\n",
+ " player = players[j].contents[1].contents[0]\n",
" perc = float(bars[j]['aria-valuenow'])\n",
" \n",
" row_df = pd.DataFrame([[player, starter, perc]], columns = probables.columns)\n",
@@ -192,7 +192,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 41,
"id": "29e5b389",
"metadata": {},
"outputs": [],
@@ -202,7 +202,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 42,
"id": "d711726e",
"metadata": {},
"outputs": [
@@ -235,412 +235,384 @@
" \n",
" \n",
" 0 \n",
- " Dessers \n",
- " Ciofani D. \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 1 \n",
- " Bianchetti \n",
- " Ferrari A. \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 2 \n",
- " Pezzella Giu. \n",
- " Gallo \n",
+ " Saelemaekers \n",
+ " Calabria \n",
" 60.0 \n",
" \n",
" \n",
+ " 1 \n",
+ " Diaz B. \n",
+ " De Ketelaere \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " Thiaw \n",
+ " Messias \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
" 3 \n",
- " Di Francesco F. \n",
- " Banda \n",
+ " Aina \n",
+ " Singo \n",
" 55.0 \n",
" \n",
" \n",
" 4 \n",
- " Abraham \n",
- " Belotti \n",
- " 65.0 \n",
+ " Rodriguez R. \n",
+ " Buongiorno \n",
+ " 55.0 \n",
" \n",
" \n",
" 5 \n",
- " Matic \n",
- " Bove \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 6 \n",
" Akpa Akpro \n",
" Haas \n",
" 60.0 \n",
" \n",
" \n",
- " 7 \n",
+ " 6 \n",
" Satriano \n",
- " Cambiaghi \n",
+ " Piccoli \n",
" 60.0 \n",
" \n",
" \n",
- " 8 \n",
+ " 7 \n",
" Ebuehi \n",
" Stojanovic \n",
" 60.0 \n",
" \n",
" \n",
+ " 8 \n",
+ " Holm \n",
+ " Ferrer \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
" 9 \n",
- " Bajrami \n",
- " Thorstvedt \n",
+ " Nzola \n",
+ " Shomurodov \n",
" 55.0 \n",
" \n",
" \n",
" 10 \n",
- " Zortea \n",
- " Ruan \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 11 \n",
- " Obiang \n",
- " Lopez M. \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 12 \n",
- " Demiral \n",
- " Djimsiti \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 13 \n",
- " Maehle \n",
- " Ruggeri \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 14 \n",
- " Boga \n",
- " Pasalic \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 15 \n",
" Agudelo \n",
" Cipot \n",
" 60.0 \n",
" \n",
" \n",
- " 16 \n",
- " Verde \n",
- " Maldini \n",
+ " 11 \n",
+ " Di Francesco F. \n",
+ " Banda \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 12 \n",
+ " Gallo \n",
+ " Pezzella Giu. \n",
" 60.0 \n",
" \n",
" \n",
+ " 13 \n",
+ " El Shaarawy \n",
+ " Celik \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 14 \n",
+ " Matic \n",
+ " Bove \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 15 \n",
+ " Lazzari \n",
+ " Hysaj \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 16 \n",
+ " Luis Alberto \n",
+ " Vecino \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
" 17 \n",
- " Holm \n",
- " Ferrer \n",
- " 65.0 \n",
+ " Boga \n",
+ " Ederson D.s. \n",
+ " 55.0 \n",
" \n",
" \n",
" 18 \n",
- " Lozano \n",
- " Elmas \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 19 \n",
- " Lozano \n",
- " Politano \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 20 \n",
- " Mario Rui \n",
- " Olivera \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 21 \n",
- " Vojvoda \n",
- " Aina \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 22 \n",
- " Buongiorno \n",
- " Adopo \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 23 \n",
- " Sanabria \n",
- " Seck \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 24 \n",
- " Success \n",
- " Thauvin \n",
+ " Hojlund \n",
+ " Zapata D. \n",
" 65.0 \n",
" \n",
" \n",
- " 25 \n",
+ " 19 \n",
+ " Djimsiti \n",
+ " Demiral \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 20 \n",
+ " Thauvin \n",
+ " Success \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 21 \n",
" Arslan \n",
" Lovric \n",
" 60.0 \n",
" \n",
" \n",
- " 26 \n",
- " Amrabat \n",
- " Mandragora \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 27 \n",
- " Bonaventura \n",
- " Barak \n",
+ " 22 \n",
+ " Bajrami \n",
+ " Thorstvedt \n",
" 55.0 \n",
" \n",
" \n",
- " 28 \n",
- " Gonzalez N. \n",
- " Ikone' \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 29 \n",
- " Dodo' \n",
- " Venuti \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 30 \n",
- " Milenkovic \n",
- " Martinez Quarta \n",
+ " 23 \n",
+ " Ruan \n",
+ " Ferrari G. \n",
" 60.0 \n",
" \n",
" \n",
- " 31 \n",
+ " 24 \n",
+ " Lopez M. \n",
+ " Obiang \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 25 \n",
+ " Zirkzee \n",
+ " Barrow \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 26 \n",
" Cambiaso \n",
" Lykogiannis \n",
" 55.0 \n",
" \n",
" \n",
- " 32 \n",
- " Dominguez \n",
- " Moro N. \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 33 \n",
+ " 27 \n",
" Soriano \n",
" Aebischer \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 34 \n",
- " Brozovic \n",
- " Mkhitaryan \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 35 \n",
- " Dzeko \n",
- " Lukaku \n",
" 65.0 \n",
" \n",
" \n",
- " 36 \n",
- " Dumfries \n",
- " Darmian \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 37 \n",
- " Giroud \n",
- " Origi \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 38 \n",
- " Saelemaekers \n",
- " Messias \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 39 \n",
- " De Ketelaere \n",
- " Diaz B. \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 40 \n",
- " Dawidowicz \n",
- " Magnani \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 41 \n",
- " Lasagna \n",
- " Braaf \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 42 \n",
- " Doig \n",
- " Verdi \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 43 \n",
- " Lazzari \n",
- " Hysaj \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 44 \n",
- " Luis Alberto \n",
- " Vecino \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 45 \n",
- " Cataldi \n",
- " Marcos Antonio \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 46 \n",
+ " 28 \n",
" Marlon \n",
" Caldirola \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 47 \n",
- " Petagna \n",
- " Mota \n",
" 55.0 \n",
" \n",
" \n",
- " 48 \n",
- " Birindelli \n",
+ " 29 \n",
+ " Petagna \n",
+ " Mota \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 30 \n",
+ " Sensi \n",
" Machin \n",
" 55.0 \n",
" \n",
" \n",
- " 49 \n",
- " Colley \n",
- " Amione \n",
+ " 31 \n",
+ " De Sciglio \n",
+ " Chiesa \n",
" 60.0 \n",
" \n",
" \n",
- " 50 \n",
- " Djuricic \n",
- " Cuisance \n",
+ " 32 \n",
+ " Brekalo \n",
+ " Saponara \n",
" 55.0 \n",
" \n",
" \n",
- " 51 \n",
+ " 33 \n",
+ " Brekalo \n",
+ " Ikone' \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 34 \n",
+ " Jovic \n",
+ " Cabral \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 35 \n",
+ " Barak \n",
+ " Duncan \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 36 \n",
+ " Lozano \n",
+ " Elmas \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 37 \n",
+ " Lozano \n",
+ " Politano \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 38 \n",
+ " Mario Rui \n",
+ " Olivera \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 39 \n",
+ " Buonaiuto \n",
+ " Afena-Gyan \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 40 \n",
+ " Benassi \n",
+ " Castagnetti \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 41 \n",
+ " Ceccherini \n",
+ " Coppola D. \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 42 \n",
+ " Magnani \n",
+ " Dawidowicz \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 43 \n",
+ " Ngonge \n",
+ " Gaich \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 44 \n",
" Bronn \n",
" Daniliuc \n",
" 60.0 \n",
" \n",
" \n",
- " 52 \n",
- " Sambia \n",
+ " 45 \n",
" Lovato \n",
+ " Sambia \n",
" 55.0 \n",
" \n",
" \n",
- " 53 \n",
- " Nicolussi Caviglia \n",
+ " 46 \n",
" Bohinen \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 54 \n",
- " Chiesa \n",
- " De Sciglio \n",
+ " Nicolussi Caviglia \n",
" 55.0 \n",
" \n",
" \n",
- " 55 \n",
- " Alex Sandro \n",
- " Gatti \n",
+ " 47 \n",
+ " Djuricic \n",
+ " Sabiri \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 48 \n",
+ " Murru \n",
+ " Murillo \n",
" 60.0 \n",
" \n",
" \n",
- " 56 \n",
- " Vlahovic \n",
- " Kean \n",
+ " 49 \n",
+ " Rincon \n",
+ " Cuisance \n",
" 60.0 \n",
" \n",
+ " \n",
+ " 50 \n",
+ " Brozovic \n",
+ " Mkhitaryan \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 51 \n",
+ " Dzeko \n",
+ " Lukaku \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 52 \n",
+ " Darmian \n",
+ " Dumfries \n",
+ " 55.0 \n",
+ " \n",
" \n",
"\n",
""
],
"text/plain": [
- " player1 player2 percentage\n",
- "0 Dessers Ciofani D. 65.0\n",
- "1 Bianchetti Ferrari A. 55.0\n",
- "2 Pezzella Giu. Gallo 60.0\n",
- "3 Di Francesco F. Banda 55.0\n",
- "4 Abraham Belotti 65.0\n",
- "5 Matic Bove 60.0\n",
- "6 Akpa Akpro Haas 60.0\n",
- "7 Satriano Cambiaghi 60.0\n",
- "8 Ebuehi Stojanovic 60.0\n",
- "9 Bajrami Thorstvedt 55.0\n",
- "10 Zortea Ruan 60.0\n",
- "11 Obiang Lopez M. 60.0\n",
- "12 Demiral Djimsiti 55.0\n",
- "13 Maehle Ruggeri 60.0\n",
- "14 Boga Pasalic 60.0\n",
- "15 Agudelo Cipot 60.0\n",
- "16 Verde Maldini 60.0\n",
- "17 Holm Ferrer 65.0\n",
- "18 Lozano Elmas 55.0\n",
- "19 Lozano Politano 55.0\n",
- "20 Mario Rui Olivera 60.0\n",
- "21 Vojvoda Aina 60.0\n",
- "22 Buongiorno Adopo 60.0\n",
- "23 Sanabria Seck 55.0\n",
- "24 Success Thauvin 65.0\n",
- "25 Arslan Lovric 60.0\n",
- "26 Amrabat Mandragora 65.0\n",
- "27 Bonaventura Barak 55.0\n",
- "28 Gonzalez N. Ikone' 55.0\n",
- "29 Dodo' Venuti 55.0\n",
- "30 Milenkovic Martinez Quarta 60.0\n",
- "31 Cambiaso Lykogiannis 55.0\n",
- "32 Dominguez Moro N. 60.0\n",
- "33 Soriano Aebischer 60.0\n",
- "34 Brozovic Mkhitaryan 55.0\n",
- "35 Dzeko Lukaku 65.0\n",
- "36 Dumfries Darmian 55.0\n",
- "37 Giroud Origi 60.0\n",
- "38 Saelemaekers Messias 60.0\n",
- "39 De Ketelaere Diaz B. 55.0\n",
- "40 Dawidowicz Magnani 65.0\n",
- "41 Lasagna Braaf 55.0\n",
- "42 Doig Verdi 60.0\n",
- "43 Lazzari Hysaj 60.0\n",
- "44 Luis Alberto Vecino 60.0\n",
- "45 Cataldi Marcos Antonio 65.0\n",
- "46 Marlon Caldirola 60.0\n",
- "47 Petagna Mota 55.0\n",
- "48 Birindelli Machin 55.0\n",
- "49 Colley Amione 60.0\n",
- "50 Djuricic Cuisance 55.0\n",
- "51 Bronn Daniliuc 60.0\n",
- "52 Sambia Lovato 55.0\n",
- "53 Nicolussi Caviglia Bohinen 60.0\n",
- "54 Chiesa De Sciglio 55.0\n",
- "55 Alex Sandro Gatti 60.0\n",
- "56 Vlahovic Kean 60.0"
+ " player1 player2 percentage\n",
+ "0 Saelemaekers Calabria 60.0\n",
+ "1 Diaz B. De Ketelaere 60.0\n",
+ "2 Thiaw Messias 65.0\n",
+ "3 Aina Singo 55.0\n",
+ "4 Rodriguez R. Buongiorno 55.0\n",
+ "5 Akpa Akpro Haas 60.0\n",
+ "6 Satriano Piccoli 60.0\n",
+ "7 Ebuehi Stojanovic 60.0\n",
+ "8 Holm Ferrer 55.0\n",
+ "9 Nzola Shomurodov 55.0\n",
+ "10 Agudelo Cipot 60.0\n",
+ "11 Di Francesco F. Banda 65.0\n",
+ "12 Gallo Pezzella Giu. 60.0\n",
+ "13 El Shaarawy Celik 60.0\n",
+ "14 Matic Bove 60.0\n",
+ "15 Lazzari Hysaj 55.0\n",
+ "16 Luis Alberto Vecino 65.0\n",
+ "17 Boga Ederson D.s. 55.0\n",
+ "18 Hojlund Zapata D. 65.0\n",
+ "19 Djimsiti Demiral 60.0\n",
+ "20 Thauvin Success 55.0\n",
+ "21 Arslan Lovric 60.0\n",
+ "22 Bajrami Thorstvedt 55.0\n",
+ "23 Ruan Ferrari G. 60.0\n",
+ "24 Lopez M. Obiang 55.0\n",
+ "25 Zirkzee Barrow 65.0\n",
+ "26 Cambiaso Lykogiannis 55.0\n",
+ "27 Soriano Aebischer 65.0\n",
+ "28 Marlon Caldirola 55.0\n",
+ "29 Petagna Mota 60.0\n",
+ "30 Sensi Machin 55.0\n",
+ "31 De Sciglio Chiesa 60.0\n",
+ "32 Brekalo Saponara 55.0\n",
+ "33 Brekalo Ikone' 55.0\n",
+ "34 Jovic Cabral 60.0\n",
+ "35 Barak Duncan 60.0\n",
+ "36 Lozano Elmas 55.0\n",
+ "37 Lozano Politano 55.0\n",
+ "38 Mario Rui Olivera 60.0\n",
+ "39 Buonaiuto Afena-Gyan 60.0\n",
+ "40 Benassi Castagnetti 60.0\n",
+ "41 Ceccherini Coppola D. 60.0\n",
+ "42 Magnani Dawidowicz 55.0\n",
+ "43 Ngonge Gaich 60.0\n",
+ "44 Bronn Daniliuc 60.0\n",
+ "45 Lovato Sambia 55.0\n",
+ "46 Bohinen Nicolussi Caviglia 55.0\n",
+ "47 Djuricic Sabiri 65.0\n",
+ "48 Murru Murillo 60.0\n",
+ "49 Rincon Cuisance 60.0\n",
+ "50 Brozovic Mkhitaryan 55.0\n",
+ "51 Dzeko Lukaku 60.0\n",
+ "52 Darmian Dumfries 55.0"
]
},
- "execution_count": 5,
+ "execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
@@ -653,8 +625,8 @@
" players = groups[i].findAll('a', attrs = {'class' : 'player-name'})\n",
" percs = groups[i].findAll('strong', attrs = {'class' : 'percentage'})\n",
" \n",
- " player1 = players[0].contents[0].replace('\\n \\n ', '')\n",
- " player2 = players[1].contents[0].replace('\\n \\n ', '')\n",
+ " player1 = players[0].contents[1].contents[0]\n",
+ " player2 = players[1].contents[1].contents[0]\n",
" perc = float(percs[0].contents[0].replace('%', ''))\n",
" \n",
" row_df = pd.DataFrame([[player1, player2, perc]], columns = ballots.columns)\n",
@@ -666,7 +638,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 43,
"id": "0171c61d",
"metadata": {},
"outputs": [
@@ -702,29 +674,29 @@
" \n",
" \n",
" \n",
- " Carnesecchi \n",
+ " Tatarusanu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
- " Bianchetti \n",
- " 0.55 \n",
- " 55.0 \n",
+ " Thiaw \n",
+ " 0.65 \n",
+ " 65.0 \n",
" \n",
" \n",
- " Chiriches \n",
+ " Kjaer \n",
" 1 \n",
- " 80.0 \n",
+ " 85.0 \n",
" \n",
" \n",
- " Vasquez \n",
+ " Kalulu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
- " Sernicola \n",
- " 1 \n",
- " 90.0 \n",
+ " Saelemaekers \n",
+ " 0.6 \n",
+ " 60.0 \n",
" \n",
" \n",
" ... \n",
@@ -732,54 +704,54 @@
" ... \n",
" \n",
" \n",
- " Cuadrado \n",
- " 0 \n",
+ " Dumfries \n",
+ " 0.45 \n",
" 60.0 \n",
" \n",
" \n",
- " Pogba \n",
+ " Mkhitaryan \n",
+ " 0.45 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " Asllani \n",
" 0 \n",
" 30.0 \n",
" \n",
" \n",
- " Miretti \n",
+ " Gagliardini \n",
" 0 \n",
" 50.0 \n",
" \n",
" \n",
- " Soule' \n",
- " 0 \n",
- " 30.0 \n",
- " \n",
- " \n",
- " Kean \n",
+ " Lukaku \n",
" 0.4 \n",
" 60.0 \n",
" \n",
" \n",
"\n",
- "449 rows × 2 columns
\n",
+ "438 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Carnesecchi 1 90.0\n",
- "Bianchetti 0.55 55.0\n",
- "Chiriches 1 80.0\n",
- "Vasquez 1 90.0\n",
- "Sernicola 1 90.0\n",
- "... ... ...\n",
- "Cuadrado 0 60.0\n",
- "Pogba 0 30.0\n",
- "Miretti 0 50.0\n",
- "Soule' 0 30.0\n",
- "Kean 0.4 60.0\n",
+ " starter percentage\n",
+ "player \n",
+ "Tatarusanu 1 90.0\n",
+ "Thiaw 0.65 65.0\n",
+ "Kjaer 1 85.0\n",
+ "Kalulu 1 90.0\n",
+ "Saelemaekers 0.6 60.0\n",
+ "... ... ...\n",
+ "Dumfries 0.45 60.0\n",
+ "Mkhitaryan 0.45 55.0\n",
+ "Asllani 0 30.0\n",
+ "Gagliardini 0 50.0\n",
+ "Lukaku 0.4 60.0\n",
"\n",
- "[449 rows x 2 columns]"
+ "[438 rows x 2 columns]"
]
},
- "execution_count": 6,
+ "execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
@@ -799,7 +771,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 44,
"id": "8b5468aa",
"metadata": {},
"outputs": [],
diff --git a/.ipynb_checkpoints/6_neural_network_training-checkpoint.ipynb b/.ipynb_checkpoints/6_neural_network_training-checkpoint.ipynb
index fcf7046..469b3ed 100644
--- a/.ipynb_checkpoints/6_neural_network_training-checkpoint.ipynb
+++ b/.ipynb_checkpoints/6_neural_network_training-checkpoint.ipynb
@@ -10,7 +10,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 1,
"id": "210da263",
"metadata": {},
"outputs": [],
@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 2,
"id": "edbf3b27",
"metadata": {},
"outputs": [],
@@ -60,7 +60,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 3,
"id": "fa098fa4",
"metadata": {},
"outputs": [],
@@ -72,7 +72,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 4,
"id": "f71fa9a4",
"metadata": {},
"outputs": [
@@ -134,15 +134,15 @@
" 0.0 \n",
" 10.0 \n",
" ... \n",
- " 0.007886 \n",
- " 0.001577 \n",
- " 0.006309 \n",
- " 0.006309 \n",
- " 0.014984 \n",
- " 0.011830 \n",
- " 0.364353 \n",
- " 0.008675 \n",
- " 0.016562 \n",
+ " 0.007364 \n",
+ " 0.001473 \n",
+ " 0.006627 \n",
+ " 0.005891 \n",
+ " 0.013991 \n",
+ " 0.011046 \n",
+ " 0.365243 \n",
+ " 0.008100 \n",
+ " 0.016200 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -158,15 +158,15 @@
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.002257 \n",
- " 0.006772 \n",
- " 0.006772 \n",
- " 0.004515 \n",
- " 0.020316 \n",
- " 0.015801 \n",
- " 0.483070 \n",
- " 0.004515 \n",
- " 0.004515 \n",
+ " 0.001876 \n",
+ " 0.007505 \n",
+ " 0.005629 \n",
+ " 0.005629 \n",
+ " 0.022514 \n",
+ " 0.015009 \n",
+ " 0.487805 \n",
+ " 0.003752 \n",
+ " 0.003752 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -182,16 +182,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.006304 \n",
- " 0.004728 \n",
- " 0.012608 \n",
- " 0.001576 \n",
- " 0.016548 \n",
- " 0.011032 \n",
- " 0.284476 \n",
- " 0.012608 \n",
- " 0.008668 \n",
- " 0.000788 \n",
+ " 0.005993 \n",
+ " 0.005243 \n",
+ " 0.013483 \n",
+ " 0.001498 \n",
+ " 0.016479 \n",
+ " 0.010487 \n",
+ " 0.283895 \n",
+ " 0.011985 \n",
+ " 0.009738 \n",
+ " 0.000749 \n",
" \n",
" \n",
" 3 \n",
@@ -230,16 +230,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.027027 \n",
- " 0.009009 \n",
- " 0.018018 \n",
" 0.000000 \n",
- " 0.022523 \n",
- " 0.004505 \n",
- " 0.351351 \n",
- " 0.049550 \n",
- " 0.031532 \n",
- " 0.009009 \n",
+ " 0.000000 \n",
+ " 0.022222 \n",
+ " 0.000000 \n",
+ " 0.011111 \n",
+ " 0.022222 \n",
+ " 0.533333 \n",
+ " 0.066667 \n",
+ " 0.066667 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -266,7 +266,7 @@
" ... \n",
" \n",
" \n",
- " 24294 \n",
+ " 24551 \n",
" 38 \n",
" Tameze \n",
" Verona \n",
@@ -290,7 +290,7 @@
" 0.003885 \n",
" \n",
" \n",
- " 24295 \n",
+ " 24552 \n",
" 38 \n",
" Hongla \n",
" Verona \n",
@@ -314,7 +314,7 @@
" 0.003072 \n",
" \n",
" \n",
- " 24296 \n",
+ " 24553 \n",
" 38 \n",
" Lasagna \n",
" Verona \n",
@@ -338,7 +338,7 @@
" 0.005912 \n",
" \n",
" \n",
- " 24297 \n",
+ " 24554 \n",
" 38 \n",
" Caprari \n",
" Verona \n",
@@ -362,7 +362,7 @@
" 0.018620 \n",
" \n",
" \n",
- " 24298 \n",
+ " 24555 \n",
" 38 \n",
" Simeone \n",
" Verona \n",
@@ -387,7 +387,7 @@
" \n",
" \n",
"\n",
- "24299 rows × 135 columns
\n",
+ "24556 rows × 122 columns
\n",
""
],
"text/plain": [
@@ -398,55 +398,55 @@
"3 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
"4 1 Zortea Atalanta Sampdoria 0 6.0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
- "24294 38 Tameze Verona Lazio 0 5.5 0 0 \n",
- "24295 38 Hongla Verona Lazio 0 7.0 1 0 \n",
- "24296 38 Lasagna Verona Lazio 0 7.0 1 0 \n",
- "24297 38 Caprari Verona Lazio 0 6.0 0 0 \n",
- "24298 38 Simeone Verona Lazio 0 7.0 1 0 \n",
+ "24551 38 Tameze Verona Lazio 0 5.5 0 0 \n",
+ "24552 38 Hongla Verona Lazio 0 7.0 1 0 \n",
+ "24553 38 Lasagna Verona Lazio 0 7.0 1 0 \n",
+ "24554 38 Caprari Verona Lazio 0 6.0 0 0 \n",
+ "24555 38 Simeone Verona Lazio 0 7.0 1 0 \n",
"\n",
" cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
- "0 0.0 10.0 ... 0.007886 0.001577 0.006309 \n",
- "1 0.0 6.0 ... 0.002257 0.006772 0.006772 \n",
- "2 0.5 5.5 ... 0.006304 0.004728 0.012608 \n",
+ "0 0.0 10.0 ... 0.007364 0.001473 0.006627 \n",
+ "1 0.0 6.0 ... 0.001876 0.007505 0.005629 \n",
+ "2 0.5 5.5 ... 0.005993 0.005243 0.013483 \n",
"3 0.5 5.0 ... 0.013018 0.003550 0.015385 \n",
- "4 0.5 5.5 ... 0.027027 0.009009 0.018018 \n",
+ "4 0.5 5.5 ... 0.000000 0.000000 0.022222 \n",
"... ... ... ... ... ... ... \n",
- "24294 0.0 5.5 ... 0.019814 0.010101 0.012821 \n",
- "24295 0.5 9.5 ... 0.018433 0.012289 0.023041 \n",
- "24296 0.5 9.5 ... 0.046453 0.022804 0.016047 \n",
- "24297 0.0 6.0 ... 0.033954 0.019715 0.015334 \n",
- "24298 0.0 10.0 ... 0.051263 0.030155 0.021108 \n",
+ "24551 0.0 5.5 ... 0.019814 0.010101 0.012821 \n",
+ "24552 0.5 9.5 ... 0.018433 0.012289 0.023041 \n",
+ "24553 0.5 9.5 ... 0.046453 0.022804 0.016047 \n",
+ "24554 0.0 6.0 ... 0.033954 0.019715 0.015334 \n",
+ "24555 0.0 10.0 ... 0.051263 0.030155 0.021108 \n",
"\n",
" fouled aerials_won aerials_lost carries progressive_carries \\\n",
- "0 0.006309 0.014984 0.011830 0.364353 0.008675 \n",
- "1 0.004515 0.020316 0.015801 0.483070 0.004515 \n",
- "2 0.001576 0.016548 0.011032 0.284476 0.012608 \n",
+ "0 0.005891 0.013991 0.011046 0.365243 0.008100 \n",
+ "1 0.005629 0.022514 0.015009 0.487805 0.003752 \n",
+ "2 0.001498 0.016479 0.010487 0.283895 0.011985 \n",
"3 0.008284 0.047337 0.027219 0.269822 0.002367 \n",
- "4 0.000000 0.022523 0.004505 0.351351 0.049550 \n",
+ "4 0.000000 0.011111 0.022222 0.533333 0.066667 \n",
"... ... ... ... ... ... \n",
- "24294 0.013209 0.023699 0.021368 0.337218 0.021368 \n",
- "24295 0.007680 0.023041 0.026114 0.341014 0.009217 \n",
- "24296 0.008446 0.026182 0.041385 0.190878 0.021959 \n",
- "24297 0.027017 0.002921 0.009858 0.391384 0.042716 \n",
- "24298 0.021862 0.022616 0.040709 0.246136 0.015077 \n",
+ "24551 0.013209 0.023699 0.021368 0.337218 0.021368 \n",
+ "24552 0.007680 0.023041 0.026114 0.341014 0.009217 \n",
+ "24553 0.008446 0.026182 0.041385 0.190878 0.021959 \n",
+ "24554 0.027017 0.002921 0.009858 0.391384 0.042716 \n",
+ "24555 0.021862 0.022616 0.040709 0.246136 0.015077 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
- "0 0.016562 0.000000 \n",
- "1 0.004515 0.000000 \n",
- "2 0.008668 0.000788 \n",
+ "0 0.016200 0.000000 \n",
+ "1 0.003752 0.000000 \n",
+ "2 0.009738 0.000749 \n",
"3 0.004734 0.000000 \n",
- "4 0.031532 0.009009 \n",
+ "4 0.066667 0.000000 \n",
"... ... ... \n",
- "24294 0.012821 0.003885 \n",
- "24295 0.015361 0.003072 \n",
- "24296 0.010980 0.005912 \n",
- "24297 0.027747 0.018620 \n",
- "24298 0.012816 0.006031 \n",
+ "24551 0.012821 0.003885 \n",
+ "24552 0.015361 0.003072 \n",
+ "24553 0.010980 0.005912 \n",
+ "24554 0.027747 0.018620 \n",
+ "24555 0.012816 0.006031 \n",
"\n",
- "[24299 rows x 135 columns]"
+ "[24556 rows x 122 columns]"
]
},
- "execution_count": 57,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -459,7 +459,7 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 5,
"id": "1d024554",
"metadata": {},
"outputs": [
@@ -521,16 +521,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 11.10 \n",
- " 0.220 \n",
- " -1.90 \n",
- " 79.0 \n",
- " 172.0 \n",
- " 340.0 \n",
+ " 12.70 \n",
+ " 0.21 \n",
+ " -1.30 \n",
+ " 81.0 \n",
+ " 185.0 \n",
+ " 372.0 \n",
+ " 107.0 \n",
" 98.0 \n",
- " 92.0 \n",
- " 161.0 \n",
- " 8.0 \n",
+ " 174.0 \n",
+ " 10.0 \n",
" \n",
" \n",
" 1 \n",
@@ -545,15 +545,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 28.70 \n",
- " 0.280 \n",
- " 0.70 \n",
- " 86.0 \n",
- " 220.0 \n",
- " 545.0 \n",
- " 116.0 \n",
- " 141.0 \n",
- " 280.0 \n",
+ " 30.80 \n",
+ " 0.28 \n",
+ " 1.80 \n",
+ " 99.0 \n",
+ " 240.0 \n",
+ " 563.0 \n",
+ " 117.0 \n",
+ " 153.0 \n",
+ " 299.0 \n",
" 18.0 \n",
" \n",
" \n",
@@ -569,15 +569,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 25.00 \n",
- " 0.270 \n",
- " 1.00 \n",
- " 101.0 \n",
- " 307.0 \n",
- " 740.0 \n",
- " 112.0 \n",
- " 107.0 \n",
- " 412.0 \n",
+ " 26.40 \n",
+ " 0.27 \n",
+ " 0.40 \n",
+ " 102.0 \n",
+ " 310.0 \n",
+ " 766.0 \n",
+ " 113.0 \n",
+ " 108.0 \n",
+ " 426.0 \n",
" 25.0 \n",
" \n",
" \n",
@@ -593,15 +593,15 @@
" 0.0 \n",
" 3.0 \n",
" ... \n",
- " 9.15 \n",
- " 0.245 \n",
- " 0.65 \n",
- " 23.5 \n",
- " 66.5 \n",
- " 279.5 \n",
- " 44.5 \n",
- " 64.5 \n",
- " 118.5 \n",
+ " 9.35 \n",
+ " 0.24 \n",
+ " 0.85 \n",
+ " 24.0 \n",
+ " 68.0 \n",
+ " 291.5 \n",
+ " 47.0 \n",
+ " 69.5 \n",
+ " 122.5 \n",
" 3.5 \n",
" \n",
" \n",
@@ -618,7 +618,7 @@
" 5.5 \n",
" ... \n",
" 10.60 \n",
- " 0.300 \n",
+ " 0.30 \n",
" -1.40 \n",
" 27.0 \n",
" 52.0 \n",
@@ -653,83 +653,107 @@
" ... \n",
" \n",
" \n",
- " 1180 \n",
- " 20 \n",
+ " 1240 \n",
+ " 21 \n",
" Consigli \n",
" Sassuolo \n",
- " Milan \n",
- " 0 \n",
+ " Atalanta \n",
+ " 1 \n",
" 6.0 \n",
- " -2 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 4.0 \n",
+ " 6.0 \n",
" ... \n",
- " 22.80 \n",
- " 0.360 \n",
- " -5.20 \n",
- " 110.0 \n",
- " 261.0 \n",
- " 651.0 \n",
- " 95.0 \n",
- " 167.0 \n",
- " 236.0 \n",
- " 14.0 \n",
+ " 23.30 \n",
+ " 0.35 \n",
+ " -4.70 \n",
+ " 112.0 \n",
+ " 269.0 \n",
+ " 686.0 \n",
+ " 99.0 \n",
+ " 172.0 \n",
+ " 255.0 \n",
+ " 16.0 \n",
" \n",
" \n",
- " 1181 \n",
- " 20 \n",
+ " 1241 \n",
+ " 21 \n",
" Dragowski \n",
" Spezia \n",
- " Bologna \n",
- " 0 \n",
- " 6.5 \n",
- " -2 \n",
+ " Napoli \n",
+ " 1 \n",
+ " 5.0 \n",
+ " -3 \n",
" 0 \n",
" 0.0 \n",
- " 4.5 \n",
+ " 2.0 \n",
" ... \n",
- " 26.00 \n",
- " 0.280 \n",
- " -3.00 \n",
+ " 28.10 \n",
+ " 0.27 \n",
+ " -3.90 \n",
" 85.0 \n",
- " 255.0 \n",
- " 479.0 \n",
- " 87.0 \n",
- " 106.0 \n",
- " 235.0 \n",
+ " 268.0 \n",
+ " 503.0 \n",
+ " 92.0 \n",
+ " 109.0 \n",
+ " 251.0 \n",
" 9.0 \n",
" \n",
" \n",
- " 1182 \n",
- " 20 \n",
+ " 1242 \n",
+ " 21 \n",
" Milinkovic-Savic V. \n",
" Torino \n",
- " Empoli \n",
+ " Udinese \n",
+ " 1 \n",
+ " 6.5 \n",
" 0 \n",
- " 5.5 \n",
- " -2 \n",
" 0 \n",
" 0.0 \n",
- " 3.5 \n",
+ " 6.5 \n",
" ... \n",
- " 21.30 \n",
- " 0.240 \n",
- " -0.70 \n",
- " 145.0 \n",
- " 510.0 \n",
- " 763.0 \n",
- " 87.0 \n",
- " 149.0 \n",
- " 244.0 \n",
+ " 21.90 \n",
+ " 0.23 \n",
+ " -0.10 \n",
+ " 148.0 \n",
+ " 524.0 \n",
+ " 788.0 \n",
+ " 95.0 \n",
+ " 155.0 \n",
+ " 263.0 \n",
" 18.0 \n",
" \n",
" \n",
- " 1183 \n",
- " 20 \n",
+ " 1243 \n",
+ " 21 \n",
" Silvestri \n",
" Udinese \n",
+ " Torino \n",
+ " 0 \n",
+ " 6.5 \n",
+ " -1 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 23.90 \n",
+ " 0.31 \n",
+ " 1.90 \n",
+ " 90.0 \n",
+ " 225.0 \n",
+ " 450.0 \n",
+ " 76.0 \n",
+ " 164.0 \n",
+ " 275.0 \n",
+ " 5.0 \n",
+ " \n",
+ " \n",
+ " 1244 \n",
+ " 21 \n",
+ " Montipo' \n",
" Verona \n",
+ " Lazio \n",
" 1 \n",
" 6.0 \n",
" -1 \n",
@@ -737,44 +761,20 @@
" 0.0 \n",
" 5.0 \n",
" ... \n",
- " 22.60 \n",
- " 0.320 \n",
- " 1.60 \n",
- " 83.0 \n",
- " 211.0 \n",
- " 432.0 \n",
- " 74.0 \n",
- " 154.0 \n",
- " 263.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 1184 \n",
- " 20 \n",
- " Montipo' \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 26.80 \n",
- " 0.250 \n",
- " -4.20 \n",
- " 187.0 \n",
- " 374.0 \n",
- " 462.0 \n",
- " 64.0 \n",
- " 159.0 \n",
- " 279.0 \n",
- " 12.0 \n",
+ " 27.60 \n",
+ " 0.25 \n",
+ " -4.40 \n",
+ " 206.0 \n",
+ " 413.0 \n",
+ " 497.0 \n",
+ " 65.0 \n",
+ " 168.0 \n",
+ " 294.0 \n",
+ " 15.0 \n",
" \n",
" \n",
"\n",
- "1185 rows × 108 columns
\n",
+ "1245 rows × 102 columns
\n",
""
],
"text/plain": [
@@ -785,68 +785,68 @@
"3 1 Gollini Fiorentina Cremonese 1 5.0 -2 \n",
"4 1 Handanovic Inter Lecce 0 6.5 -1 \n",
"... ... ... ... ... ... ... ... \n",
- "1180 20 Consigli Sassuolo Milan 0 6.0 -2 \n",
- "1181 20 Dragowski Spezia Bologna 0 6.5 -2 \n",
- "1182 20 Milinkovic-Savic V. Torino Empoli 0 5.5 -2 \n",
- "1183 20 Silvestri Udinese Verona 1 6.0 -1 \n",
- "1184 20 Montipo' Verona Udinese 0 6.5 -1 \n",
+ "1240 21 Consigli Sassuolo Atalanta 1 6.0 0 \n",
+ "1241 21 Dragowski Spezia Napoli 1 5.0 -3 \n",
+ "1242 21 Milinkovic-Savic V. Torino Udinese 1 6.5 0 \n",
+ "1243 21 Silvestri Udinese Torino 0 6.5 -1 \n",
+ "1244 21 Montipo' Verona Lazio 1 6.0 -1 \n",
"\n",
" assists cards_malus fantavote ... gk_psxg \\\n",
- "0 0 0.5 5.5 ... 11.10 \n",
- "1 0 0.0 4.5 ... 28.70 \n",
- "2 0 0.0 4.5 ... 25.00 \n",
- "3 0 0.0 3.0 ... 9.15 \n",
+ "0 0 0.5 5.5 ... 12.70 \n",
+ "1 0 0.0 4.5 ... 30.80 \n",
+ "2 0 0.0 4.5 ... 26.40 \n",
+ "3 0 0.0 3.0 ... 9.35 \n",
"4 0 0.0 5.5 ... 10.60 \n",
"... ... ... ... ... ... \n",
- "1180 0 0.0 4.0 ... 22.80 \n",
- "1181 0 0.0 4.5 ... 26.00 \n",
- "1182 0 0.0 3.5 ... 21.30 \n",
- "1183 0 0.0 5.0 ... 22.60 \n",
- "1184 0 0.0 5.5 ... 26.80 \n",
+ "1240 0 0.0 6.0 ... 23.30 \n",
+ "1241 0 0.0 2.0 ... 28.10 \n",
+ "1242 0 0.0 6.5 ... 21.90 \n",
+ "1243 0 0.0 5.5 ... 23.90 \n",
+ "1244 0 0.0 5.0 ... 27.60 \n",
"\n",
" gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.220 -1.90 \n",
- "1 0.280 0.70 \n",
- "2 0.270 1.00 \n",
- "3 0.245 0.65 \n",
- "4 0.300 -1.40 \n",
+ "0 0.21 -1.30 \n",
+ "1 0.28 1.80 \n",
+ "2 0.27 0.40 \n",
+ "3 0.24 0.85 \n",
+ "4 0.30 -1.40 \n",
"... ... ... \n",
- "1180 0.360 -5.20 \n",
- "1181 0.280 -3.00 \n",
- "1182 0.240 -0.70 \n",
- "1183 0.320 1.60 \n",
- "1184 0.250 -4.20 \n",
+ "1240 0.35 -4.70 \n",
+ "1241 0.27 -3.90 \n",
+ "1242 0.23 -0.10 \n",
+ "1243 0.31 1.90 \n",
+ "1244 0.25 -4.40 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 79.0 172.0 340.0 \n",
- "1 86.0 220.0 545.0 \n",
- "2 101.0 307.0 740.0 \n",
- "3 23.5 66.5 279.5 \n",
+ "0 81.0 185.0 372.0 \n",
+ "1 99.0 240.0 563.0 \n",
+ "2 102.0 310.0 766.0 \n",
+ "3 24.0 68.0 291.5 \n",
"4 27.0 52.0 266.0 \n",
"... ... ... ... \n",
- "1180 110.0 261.0 651.0 \n",
- "1181 85.0 255.0 479.0 \n",
- "1182 145.0 510.0 763.0 \n",
- "1183 83.0 211.0 432.0 \n",
- "1184 187.0 374.0 462.0 \n",
+ "1240 112.0 269.0 686.0 \n",
+ "1241 85.0 268.0 503.0 \n",
+ "1242 148.0 524.0 788.0 \n",
+ "1243 90.0 225.0 450.0 \n",
+ "1244 206.0 413.0 497.0 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 98.0 92.0 161.0 8.0 \n",
- "1 116.0 141.0 280.0 18.0 \n",
- "2 112.0 107.0 412.0 25.0 \n",
- "3 44.5 64.5 118.5 3.5 \n",
+ "0 107.0 98.0 174.0 10.0 \n",
+ "1 117.0 153.0 299.0 18.0 \n",
+ "2 113.0 108.0 426.0 25.0 \n",
+ "3 47.0 69.5 122.5 3.5 \n",
"4 46.0 45.0 79.0 2.0 \n",
"... ... ... ... ... \n",
- "1180 95.0 167.0 236.0 14.0 \n",
- "1181 87.0 106.0 235.0 9.0 \n",
- "1182 87.0 149.0 244.0 18.0 \n",
- "1183 74.0 154.0 263.0 5.0 \n",
- "1184 64.0 159.0 279.0 12.0 \n",
+ "1240 99.0 172.0 255.0 16.0 \n",
+ "1241 92.0 109.0 251.0 9.0 \n",
+ "1242 95.0 155.0 263.0 18.0 \n",
+ "1243 76.0 164.0 275.0 5.0 \n",
+ "1244 65.0 168.0 294.0 15.0 \n",
"\n",
- "[1185 rows x 108 columns]"
+ "[1245 rows x 102 columns]"
]
},
- "execution_count": 58,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -871,7 +871,7 @@
},
{
"cell_type": "code",
- "execution_count": 59,
+ "execution_count": 6,
"id": "bc9dae87",
"metadata": {},
"outputs": [],
@@ -895,7 +895,7 @@
},
{
"cell_type": "code",
- "execution_count": 60,
+ "execution_count": 7,
"id": "493b0495",
"metadata": {},
"outputs": [
@@ -903,7 +903,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_1508\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_11840\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
" avg_row = pd.DataFrame(index = ['Avg'], data = [team_data.mean()], columns = team_data.columns)\n"
]
},
@@ -956,618 +956,618 @@
" Atalanta \n",
" Atalanta \n",
" 24.00 \n",
- " 49.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 49.00 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 38.0 \n",
" 27.0 \n",
" 6.00 \n",
" 8.0 \n",
" ... \n",
- " 220.00 \n",
" 232.0 \n",
- " 26.0 \n",
+ " 244.0 \n",
+ " 26.00 \n",
" 1.0 \n",
" 8.00 \n",
" 1.0 \n",
- " 1214.0 \n",
- " 248.00 \n",
- " 303.00 \n",
- " 45.00 \n",
+ " 1261.0 \n",
+ " 260.0 \n",
+ " 317.0 \n",
+ " 45.10 \n",
" \n",
" \n",
" Bologna \n",
" Bologna \n",
- " 24.00 \n",
- " 52.600 \n",
+ " 25.00 \n",
+ " 51.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 27.0 \n",
" 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 25.0 \n",
- " 19.0 \n",
- " 3.00 \n",
- " 3.0 \n",
+ " 4.00 \n",
+ " 4.0 \n",
" ... \n",
- " 252.00 \n",
- " 229.0 \n",
- " 33.0 \n",
+ " 262.0 \n",
+ " 254.0 \n",
+ " 36.00 \n",
" 3.0 \n",
- " 3.00 \n",
+ " 4.00 \n",
" 1.0 \n",
- " 1081.0 \n",
- " 224.00 \n",
- " 180.00 \n",
- " 55.40 \n",
+ " 1145.0 \n",
+ " 239.0 \n",
+ " 193.0 \n",
+ " 55.30 \n",
" \n",
" \n",
" Cremonese \n",
" Cremonese \n",
- " 29.00 \n",
- " 43.600 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 30.00 \n",
+ " 44.20 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 7.0 \n",
" 2.00 \n",
" 4.0 \n",
" ... \n",
- " 217.00 \n",
- " 254.0 \n",
- " 32.0 \n",
+ " 232.0 \n",
+ " 264.0 \n",
+ " 33.00 \n",
" 3.0 \n",
" 4.00 \n",
" 0.0 \n",
- " 1106.0 \n",
- " 367.00 \n",
- " 273.00 \n",
- " 57.30 \n",
+ " 1168.0 \n",
+ " 388.0 \n",
+ " 296.0 \n",
+ " 56.70 \n",
" \n",
" \n",
" Empoli \n",
" Empoli \n",
- " 26.00 \n",
- " 46.400 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 27.00 \n",
+ " 46.80 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 19.0 \n",
" 11.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 260.00 \n",
- " 226.0 \n",
- " 32.0 \n",
+ " 270.0 \n",
+ " 244.0 \n",
+ " 35.00 \n",
" 2.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 1062.0 \n",
- " 231.00 \n",
- " 203.00 \n",
- " 53.20 \n",
+ " 1104.0 \n",
+ " 242.0 \n",
+ " 211.0 \n",
+ " 53.40 \n",
" \n",
" \n",
" Fiorentina \n",
" Fiorentina \n",
- " 27.00 \n",
- " 57.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 22.0 \n",
- " 17.0 \n",
+ " 28.00 \n",
+ " 57.30 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 23.0 \n",
+ " 18.0 \n",
" 2.00 \n",
" 4.0 \n",
" ... \n",
- " 271.00 \n",
- " 243.0 \n",
- " 53.0 \n",
+ " 296.0 \n",
+ " 252.0 \n",
+ " 54.00 \n",
" 1.0 \n",
" 4.00 \n",
" 0.0 \n",
- " 1005.0 \n",
- " 261.00 \n",
- " 302.00 \n",
+ " 1061.0 \n",
+ " 274.0 \n",
+ " 317.0 \n",
" 46.40 \n",
" \n",
" \n",
" Verona \n",
" Hellas Verona \n",
- " 32.00 \n",
- " 43.500 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 16.0 \n",
- " 13.0 \n",
+ " 34.00 \n",
+ " 43.10 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 17.0 \n",
+ " 14.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 201.00 \n",
- " 286.0 \n",
- " 22.0 \n",
+ " 213.0 \n",
+ " 302.0 \n",
+ " 24.00 \n",
" 1.0 \n",
" 0.00 \n",
" 2.0 \n",
- " 1096.0 \n",
- " 362.00 \n",
- " 411.00 \n",
- " 46.80 \n",
+ " 1173.0 \n",
+ " 385.0 \n",
+ " 422.0 \n",
+ " 47.70 \n",
" \n",
" \n",
" Inter \n",
" Inter \n",
" 23.00 \n",
- " 53.600 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 39.0 \n",
- " 26.0 \n",
+ " 54.00 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 40.0 \n",
+ " 27.0 \n",
" 2.00 \n",
" 2.0 \n",
" ... \n",
- " 249.00 \n",
- " 224.0 \n",
- " 18.0 \n",
+ " 263.0 \n",
+ " 237.0 \n",
+ " 19.00 \n",
" 2.0 \n",
" 2.00 \n",
" 1.0 \n",
- " 914.0 \n",
- " 204.00 \n",
- " 251.00 \n",
- " 44.80 \n",
+ " 960.0 \n",
+ " 221.0 \n",
+ " 266.0 \n",
+ " 45.40 \n",
" \n",
" \n",
" Juventus \n",
" Juventus \n",
" 26.00 \n",
- " 49.400 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 30.0 \n",
- " 23.0 \n",
- " 2.00 \n",
- " 3.0 \n",
- " ... \n",
- " 220.00 \n",
- " 221.0 \n",
- " 27.0 \n",
- " 0.0 \n",
+ " 49.20 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 33.0 \n",
+ " 25.0 \n",
" 3.00 \n",
+ " 4.0 \n",
+ " ... \n",
+ " 229.0 \n",
+ " 232.0 \n",
+ " 27.00 \n",
" 0.0 \n",
- " 1007.0 \n",
- " 240.00 \n",
- " 247.00 \n",
- " 49.30 \n",
+ " 4.00 \n",
+ " 0.0 \n",
+ " 1064.0 \n",
+ " 247.0 \n",
+ " 257.0 \n",
+ " 49.00 \n",
" \n",
" \n",
" Lazio \n",
" Lazio \n",
" 21.00 \n",
- " 50.900 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 35.0 \n",
- " 25.0 \n",
+ " 51.40 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 36.0 \n",
+ " 26.0 \n",
" 3.00 \n",
" 4.0 \n",
" ... \n",
- " 278.00 \n",
- " 196.0 \n",
- " 44.0 \n",
+ " 294.0 \n",
+ " 206.0 \n",
+ " 44.00 \n",
" 1.0 \n",
" 4.00 \n",
" 1.0 \n",
- " 1085.0 \n",
- " 196.00 \n",
- " 193.00 \n",
- " 50.40 \n",
+ " 1157.0 \n",
+ " 207.0 \n",
+ " 216.0 \n",
+ " 48.90 \n",
" \n",
" \n",
" Lecce \n",
" Lecce \n",
" 26.00 \n",
- " 42.500 \n",
+ " 42.40 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 18.0 \n",
- " 12.0 \n",
+ " 14.0 \n",
" 1.00 \n",
" 2.0 \n",
" ... \n",
- " 263.00 \n",
- " 265.0 \n",
- " 43.0 \n",
+ " 275.0 \n",
+ " 279.0 \n",
+ " 45.00 \n",
" 3.0 \n",
" 2.00 \n",
" 1.0 \n",
- " 1072.0 \n",
- " 373.00 \n",
- " 295.00 \n",
- " 55.80 \n",
+ " 1141.0 \n",
+ " 396.0 \n",
+ " 316.0 \n",
+ " 55.60 \n",
" \n",
" \n",
" Milan \n",
" Milan \n",
" 27.00 \n",
- " 54.800 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 53.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 35.0 \n",
" 30.0 \n",
" 2.00 \n",
" 2.0 \n",
" ... \n",
- " 242.00 \n",
- " 237.0 \n",
- " 23.0 \n",
+ " 255.0 \n",
+ " 251.0 \n",
+ " 25.00 \n",
" 4.0 \n",
" 2.00 \n",
" 2.0 \n",
- " 1005.0 \n",
- " 234.00 \n",
- " 288.00 \n",
- " 44.80 \n",
+ " 1059.0 \n",
+ " 249.0 \n",
+ " 305.0 \n",
+ " 44.90 \n",
" \n",
" \n",
" Monza \n",
" Monza \n",
" 29.00 \n",
- " 55.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 24.0 \n",
- " 15.0 \n",
- " 3.00 \n",
- " 3.0 \n",
+ " 55.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 26.0 \n",
+ " 16.0 \n",
+ " 4.00 \n",
+ " 4.0 \n",
" ... \n",
- " 291.00 \n",
- " 251.0 \n",
- " 37.0 \n",
+ " 303.0 \n",
+ " 263.0 \n",
+ " 37.00 \n",
" 0.0 \n",
- " 3.00 \n",
+ " 4.00 \n",
" 1.0 \n",
- " 1023.0 \n",
- " 214.00 \n",
- " 225.00 \n",
- " 48.70 \n",
+ " 1075.0 \n",
+ " 226.0 \n",
+ " 241.0 \n",
+ " 48.40 \n",
" \n",
" \n",
" Napoli \n",
" Napoli \n",
" 24.00 \n",
- " 61.000 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 48.0 \n",
- " 39.0 \n",
- " 4.00 \n",
- " 5.0 \n",
+ " 61.40 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 51.0 \n",
+ " 40.0 \n",
+ " 5.00 \n",
+ " 6.0 \n",
" ... \n",
- " 272.00 \n",
- " 174.0 \n",
- " 27.0 \n",
+ " 291.0 \n",
+ " 192.0 \n",
+ " 28.00 \n",
" 1.0 \n",
- " 4.00 \n",
+ " 5.00 \n",
" 0.0 \n",
- " 995.0 \n",
- " 210.00 \n",
- " 244.00 \n",
- " 46.30 \n",
+ " 1049.0 \n",
+ " 214.0 \n",
+ " 259.0 \n",
+ " 45.20 \n",
" \n",
" \n",
" Roma \n",
" Roma \n",
- " 25.00 \n",
- " 49.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 26.0 \n",
- " 17.0 \n",
+ " 26.00 \n",
+ " 48.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 28.0 \n",
+ " 19.0 \n",
" 3.00 \n",
" 5.0 \n",
" ... \n",
- " 274.00 \n",
- " 228.0 \n",
- " 10.0 \n",
+ " 292.0 \n",
+ " 238.0 \n",
+ " 10.00 \n",
" 0.0 \n",
" 5.00 \n",
" 0.0 \n",
- " 1048.0 \n",
- " 197.00 \n",
- " 234.00 \n",
- " 45.70 \n",
+ " 1095.0 \n",
+ " 205.0 \n",
+ " 245.0 \n",
+ " 45.60 \n",
" \n",
" \n",
" Salernitana \n",
" Salernitana \n",
" 28.00 \n",
- " 44.800 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 45.10 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 24.0 \n",
" 16.0 \n",
" 1.00 \n",
" 1.0 \n",
" ... \n",
- " 226.00 \n",
- " 233.0 \n",
- " 49.0 \n",
- " 7.0 \n",
+ " 238.0 \n",
+ " 242.0 \n",
+ " 52.00 \n",
+ " 8.0 \n",
" 1.00 \n",
" 1.0 \n",
- " 1084.0 \n",
- " 258.00 \n",
- " 240.00 \n",
- " 51.80 \n",
+ " 1143.0 \n",
+ " 268.0 \n",
+ " 247.0 \n",
+ " 52.00 \n",
" \n",
" \n",
" Sampdoria \n",
" Sampdoria \n",
- " 30.00 \n",
- " 48.900 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 31.00 \n",
+ " 47.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 10.0 \n",
" 8.0 \n",
- " 7.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 316.00 \n",
- " 277.0 \n",
- " 56.0 \n",
- " 3.0 \n",
+ " 328.0 \n",
+ " 288.0 \n",
+ " 56.00 \n",
+ " 4.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 1075.0 \n",
- " 324.00 \n",
- " 327.00 \n",
- " 49.80 \n",
+ " 1126.0 \n",
+ " 340.0 \n",
+ " 339.0 \n",
+ " 50.10 \n",
" \n",
" \n",
" Sassuolo \n",
" Sassuolo \n",
- " 27.00 \n",
- " 48.300 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 23.0 \n",
- " 17.0 \n",
+ " 29.00 \n",
+ " 48.50 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 24.0 \n",
+ " 18.0 \n",
" 4.00 \n",
" 5.0 \n",
" ... \n",
- " 262.00 \n",
- " 190.0 \n",
- " 67.0 \n",
+ " 275.0 \n",
+ " 200.0 \n",
+ " 69.00 \n",
" 2.0 \n",
" 5.00 \n",
" 0.0 \n",
- " 1043.0 \n",
- " 229.00 \n",
- " 183.00 \n",
- " 55.60 \n",
+ " 1088.0 \n",
+ " 243.0 \n",
+ " 195.0 \n",
+ " 55.50 \n",
" \n",
" \n",
" Spezia \n",
" Spezia \n",
- " 30.00 \n",
- " 46.700 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 33.00 \n",
+ " 45.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 10.0 \n",
" 2.00 \n",
" 2.0 \n",
" ... \n",
- " 207.00 \n",
- " 261.0 \n",
- " 46.0 \n",
+ " 225.0 \n",
+ " 279.0 \n",
+ " 50.00 \n",
" 1.0 \n",
" 2.00 \n",
" 2.0 \n",
- " 1182.0 \n",
- " 322.00 \n",
- " 281.00 \n",
- " 53.40 \n",
+ " 1225.0 \n",
+ " 337.0 \n",
+ " 285.0 \n",
+ " 54.20 \n",
" \n",
" \n",
" Torino \n",
" Torino \n",
- " 24.00 \n",
- " 52.900 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.00 \n",
+ " 53.00 \n",
" 21.0 \n",
- " 16.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 22.0 \n",
+ " 17.0 \n",
" 1.00 \n",
" 1.0 \n",
" ... \n",
- " 221.00 \n",
- " 274.0 \n",
- " 22.0 \n",
+ " 229.0 \n",
+ " 287.0 \n",
+ " 23.00 \n",
" 3.0 \n",
" 1.00 \n",
" 0.0 \n",
- " 1045.0 \n",
- " 337.00 \n",
- " 309.00 \n",
- " 52.20 \n",
+ " 1095.0 \n",
+ " 347.0 \n",
+ " 319.0 \n",
+ " 52.10 \n",
" \n",
" \n",
" Udinese \n",
" Udinese \n",
- " 23.00 \n",
- " 50.400 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.00 \n",
+ " 50.00 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 27.0 \n",
" 23.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 261.00 \n",
- " 235.0 \n",
- " 31.0 \n",
+ " 274.0 \n",
+ " 242.0 \n",
+ " 34.00 \n",
" 2.0 \n",
" 0.00 \n",
" 1.0 \n",
- " 1010.0 \n",
- " 212.00 \n",
- " 254.00 \n",
- " 45.50 \n",
+ " 1063.0 \n",
+ " 222.0 \n",
+ " 264.0 \n",
+ " 45.70 \n",
" \n",
" \n",
" Avg \n",
" Avg \n",
- " 26.25 \n",
- " 50.035 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 25.4 \n",
- " 18.5 \n",
- " 2.05 \n",
- " 2.7 \n",
+ " 27.05 \n",
+ " 49.99 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 26.5 \n",
+ " 19.3 \n",
+ " 2.25 \n",
+ " 2.9 \n",
" ... \n",
- " 250.15 \n",
- " 236.8 \n",
- " 34.9 \n",
- " 2.0 \n",
- " 2.65 \n",
+ " 263.8 \n",
+ " 249.8 \n",
+ " 36.35 \n",
+ " 2.1 \n",
+ " 2.85 \n",
" 0.7 \n",
- " 1057.6 \n",
- " 262.15 \n",
- " 262.15 \n",
- " 49.91 \n",
+ " 1112.6 \n",
+ " 275.5 \n",
+ " 275.5 \n",
+ " 49.86 \n",
" \n",
" \n",
"\n",
- "21 rows × 321 columns
\n",
+ "21 rows × 303 columns
\n",
""
],
"text/plain": [
" team team_players_used team_possession team_games \\\n",
- "Atalanta Atalanta 24.00 49.100 20.0 \n",
- "Bologna Bologna 24.00 52.600 20.0 \n",
- "Cremonese Cremonese 29.00 43.600 20.0 \n",
- "Empoli Empoli 26.00 46.400 20.0 \n",
- "Fiorentina Fiorentina 27.00 57.100 20.0 \n",
- "Verona Hellas Verona 32.00 43.500 20.0 \n",
- "Inter Inter 23.00 53.600 20.0 \n",
- "Juventus Juventus 26.00 49.400 20.0 \n",
- "Lazio Lazio 21.00 50.900 20.0 \n",
- "Lecce Lecce 26.00 42.500 20.0 \n",
- "Milan Milan 27.00 54.800 20.0 \n",
- "Monza Monza 29.00 55.100 20.0 \n",
- "Napoli Napoli 24.00 61.000 20.0 \n",
- "Roma Roma 25.00 49.100 20.0 \n",
- "Salernitana Salernitana 28.00 44.800 20.0 \n",
- "Sampdoria Sampdoria 30.00 48.900 20.0 \n",
- "Sassuolo Sassuolo 27.00 48.300 20.0 \n",
- "Spezia Spezia 30.00 46.700 20.0 \n",
- "Torino Torino 24.00 52.900 20.0 \n",
- "Udinese Udinese 23.00 50.400 20.0 \n",
- "Avg Avg 26.25 50.035 20.0 \n",
+ "Atalanta Atalanta 24.00 49.00 21.0 \n",
+ "Bologna Bologna 25.00 51.90 21.0 \n",
+ "Cremonese Cremonese 30.00 44.20 21.0 \n",
+ "Empoli Empoli 27.00 46.80 21.0 \n",
+ "Fiorentina Fiorentina 28.00 57.30 21.0 \n",
+ "Verona Hellas Verona 34.00 43.10 21.0 \n",
+ "Inter Inter 23.00 54.00 21.0 \n",
+ "Juventus Juventus 26.00 49.20 21.0 \n",
+ "Lazio Lazio 21.00 51.40 21.0 \n",
+ "Lecce Lecce 26.00 42.40 21.0 \n",
+ "Milan Milan 27.00 53.90 21.0 \n",
+ "Monza Monza 29.00 55.90 21.0 \n",
+ "Napoli Napoli 24.00 61.40 21.0 \n",
+ "Roma Roma 26.00 48.90 21.0 \n",
+ "Salernitana Salernitana 28.00 45.10 21.0 \n",
+ "Sampdoria Sampdoria 31.00 47.90 21.0 \n",
+ "Sassuolo Sassuolo 29.00 48.50 21.0 \n",
+ "Spezia Spezia 33.00 45.90 21.0 \n",
+ "Torino Torino 25.00 53.00 21.0 \n",
+ "Udinese Udinese 25.00 50.00 21.0 \n",
+ "Avg Avg 27.05 49.99 21.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
- "Atalanta 220.0 1800.0 38.0 27.0 \n",
- "Bologna 220.0 1800.0 25.0 19.0 \n",
- "Cremonese 220.0 1800.0 15.0 7.0 \n",
- "Empoli 220.0 1800.0 19.0 11.0 \n",
- "Fiorentina 220.0 1800.0 22.0 17.0 \n",
- "Verona 220.0 1800.0 16.0 13.0 \n",
- "Inter 220.0 1800.0 39.0 26.0 \n",
- "Juventus 220.0 1800.0 30.0 23.0 \n",
- "Lazio 220.0 1800.0 35.0 25.0 \n",
- "Lecce 220.0 1800.0 18.0 12.0 \n",
- "Milan 220.0 1800.0 35.0 30.0 \n",
- "Monza 220.0 1800.0 24.0 15.0 \n",
- "Napoli 220.0 1800.0 48.0 39.0 \n",
- "Roma 220.0 1800.0 26.0 17.0 \n",
- "Salernitana 220.0 1800.0 24.0 16.0 \n",
- "Sampdoria 220.0 1800.0 8.0 7.0 \n",
- "Sassuolo 220.0 1800.0 23.0 17.0 \n",
- "Spezia 220.0 1800.0 15.0 10.0 \n",
- "Torino 220.0 1800.0 21.0 16.0 \n",
- "Udinese 220.0 1800.0 27.0 23.0 \n",
- "Avg 220.0 1800.0 25.4 18.5 \n",
+ "Atalanta 231.0 1890.0 38.0 27.0 \n",
+ "Bologna 231.0 1890.0 27.0 20.0 \n",
+ "Cremonese 231.0 1890.0 15.0 7.0 \n",
+ "Empoli 231.0 1890.0 19.0 11.0 \n",
+ "Fiorentina 231.0 1890.0 23.0 18.0 \n",
+ "Verona 231.0 1890.0 17.0 14.0 \n",
+ "Inter 231.0 1890.0 40.0 27.0 \n",
+ "Juventus 231.0 1890.0 33.0 25.0 \n",
+ "Lazio 231.0 1890.0 36.0 26.0 \n",
+ "Lecce 231.0 1890.0 20.0 14.0 \n",
+ "Milan 231.0 1890.0 35.0 30.0 \n",
+ "Monza 231.0 1890.0 26.0 16.0 \n",
+ "Napoli 231.0 1890.0 51.0 40.0 \n",
+ "Roma 231.0 1890.0 28.0 19.0 \n",
+ "Salernitana 231.0 1890.0 24.0 16.0 \n",
+ "Sampdoria 231.0 1890.0 10.0 8.0 \n",
+ "Sassuolo 231.0 1890.0 24.0 18.0 \n",
+ "Spezia 231.0 1890.0 15.0 10.0 \n",
+ "Torino 231.0 1890.0 22.0 17.0 \n",
+ "Udinese 231.0 1890.0 27.0 23.0 \n",
+ "Avg 231.0 1890.0 26.5 19.3 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
- "Atalanta 6.00 8.0 ... 220.00 \n",
- "Bologna 3.00 3.0 ... 252.00 \n",
- "Cremonese 2.00 4.0 ... 217.00 \n",
- "Empoli 0.00 0.0 ... 260.00 \n",
- "Fiorentina 2.00 4.0 ... 271.00 \n",
- "Verona 0.00 0.0 ... 201.00 \n",
- "Inter 2.00 2.0 ... 249.00 \n",
- "Juventus 2.00 3.0 ... 220.00 \n",
- "Lazio 3.00 4.0 ... 278.00 \n",
- "Lecce 1.00 2.0 ... 263.00 \n",
- "Milan 2.00 2.0 ... 242.00 \n",
- "Monza 3.00 3.0 ... 291.00 \n",
- "Napoli 4.00 5.0 ... 272.00 \n",
- "Roma 3.00 5.0 ... 274.00 \n",
- "Salernitana 1.00 1.0 ... 226.00 \n",
- "Sampdoria 0.00 0.0 ... 316.00 \n",
- "Sassuolo 4.00 5.0 ... 262.00 \n",
- "Spezia 2.00 2.0 ... 207.00 \n",
- "Torino 1.00 1.0 ... 221.00 \n",
- "Udinese 0.00 0.0 ... 261.00 \n",
- "Avg 2.05 2.7 ... 250.15 \n",
+ "Atalanta 6.00 8.0 ... 232.0 \n",
+ "Bologna 4.00 4.0 ... 262.0 \n",
+ "Cremonese 2.00 4.0 ... 232.0 \n",
+ "Empoli 0.00 0.0 ... 270.0 \n",
+ "Fiorentina 2.00 4.0 ... 296.0 \n",
+ "Verona 0.00 0.0 ... 213.0 \n",
+ "Inter 2.00 2.0 ... 263.0 \n",
+ "Juventus 3.00 4.0 ... 229.0 \n",
+ "Lazio 3.00 4.0 ... 294.0 \n",
+ "Lecce 1.00 2.0 ... 275.0 \n",
+ "Milan 2.00 2.0 ... 255.0 \n",
+ "Monza 4.00 4.0 ... 303.0 \n",
+ "Napoli 5.00 6.0 ... 291.0 \n",
+ "Roma 3.00 5.0 ... 292.0 \n",
+ "Salernitana 1.00 1.0 ... 238.0 \n",
+ "Sampdoria 0.00 0.0 ... 328.0 \n",
+ "Sassuolo 4.00 5.0 ... 275.0 \n",
+ "Spezia 2.00 2.0 ... 225.0 \n",
+ "Torino 1.00 1.0 ... 229.0 \n",
+ "Udinese 0.00 0.0 ... 274.0 \n",
+ "Avg 2.25 2.9 ... 263.8 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
- "Atalanta 232.0 26.0 1.0 \n",
- "Bologna 229.0 33.0 3.0 \n",
- "Cremonese 254.0 32.0 3.0 \n",
- "Empoli 226.0 32.0 2.0 \n",
- "Fiorentina 243.0 53.0 1.0 \n",
- "Verona 286.0 22.0 1.0 \n",
- "Inter 224.0 18.0 2.0 \n",
- "Juventus 221.0 27.0 0.0 \n",
- "Lazio 196.0 44.0 1.0 \n",
- "Lecce 265.0 43.0 3.0 \n",
- "Milan 237.0 23.0 4.0 \n",
- "Monza 251.0 37.0 0.0 \n",
- "Napoli 174.0 27.0 1.0 \n",
- "Roma 228.0 10.0 0.0 \n",
- "Salernitana 233.0 49.0 7.0 \n",
- "Sampdoria 277.0 56.0 3.0 \n",
- "Sassuolo 190.0 67.0 2.0 \n",
- "Spezia 261.0 46.0 1.0 \n",
- "Torino 274.0 22.0 3.0 \n",
- "Udinese 235.0 31.0 2.0 \n",
- "Avg 236.8 34.9 2.0 \n",
+ "Atalanta 244.0 26.00 1.0 \n",
+ "Bologna 254.0 36.00 3.0 \n",
+ "Cremonese 264.0 33.00 3.0 \n",
+ "Empoli 244.0 35.00 2.0 \n",
+ "Fiorentina 252.0 54.00 1.0 \n",
+ "Verona 302.0 24.00 1.0 \n",
+ "Inter 237.0 19.00 2.0 \n",
+ "Juventus 232.0 27.00 0.0 \n",
+ "Lazio 206.0 44.00 1.0 \n",
+ "Lecce 279.0 45.00 3.0 \n",
+ "Milan 251.0 25.00 4.0 \n",
+ "Monza 263.0 37.00 0.0 \n",
+ "Napoli 192.0 28.00 1.0 \n",
+ "Roma 238.0 10.00 0.0 \n",
+ "Salernitana 242.0 52.00 8.0 \n",
+ "Sampdoria 288.0 56.00 4.0 \n",
+ "Sassuolo 200.0 69.00 2.0 \n",
+ "Spezia 279.0 50.00 1.0 \n",
+ "Torino 287.0 23.00 3.0 \n",
+ "Udinese 242.0 34.00 2.0 \n",
+ "Avg 249.8 36.35 2.1 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
"Atalanta 8.00 1.0 \n",
- "Bologna 3.00 1.0 \n",
+ "Bologna 4.00 1.0 \n",
"Cremonese 4.00 0.0 \n",
"Empoli 0.00 0.0 \n",
"Fiorentina 4.00 0.0 \n",
"Verona 0.00 2.0 \n",
"Inter 2.00 1.0 \n",
- "Juventus 3.00 0.0 \n",
+ "Juventus 4.00 0.0 \n",
"Lazio 4.00 1.0 \n",
"Lecce 2.00 1.0 \n",
"Milan 2.00 2.0 \n",
- "Monza 3.00 1.0 \n",
- "Napoli 4.00 0.0 \n",
+ "Monza 4.00 1.0 \n",
+ "Napoli 5.00 0.0 \n",
"Roma 5.00 0.0 \n",
"Salernitana 1.00 1.0 \n",
"Sampdoria 0.00 0.0 \n",
@@ -1575,58 +1575,58 @@
"Spezia 2.00 2.0 \n",
"Torino 1.00 0.0 \n",
"Udinese 0.00 1.0 \n",
- "Avg 2.65 0.7 \n",
+ "Avg 2.85 0.7 \n",
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
- "Atalanta 1214.0 248.00 \n",
- "Bologna 1081.0 224.00 \n",
- "Cremonese 1106.0 367.00 \n",
- "Empoli 1062.0 231.00 \n",
- "Fiorentina 1005.0 261.00 \n",
- "Verona 1096.0 362.00 \n",
- "Inter 914.0 204.00 \n",
- "Juventus 1007.0 240.00 \n",
- "Lazio 1085.0 196.00 \n",
- "Lecce 1072.0 373.00 \n",
- "Milan 1005.0 234.00 \n",
- "Monza 1023.0 214.00 \n",
- "Napoli 995.0 210.00 \n",
- "Roma 1048.0 197.00 \n",
- "Salernitana 1084.0 258.00 \n",
- "Sampdoria 1075.0 324.00 \n",
- "Sassuolo 1043.0 229.00 \n",
- "Spezia 1182.0 322.00 \n",
- "Torino 1045.0 337.00 \n",
- "Udinese 1010.0 212.00 \n",
- "Avg 1057.6 262.15 \n",
+ "Atalanta 1261.0 260.0 \n",
+ "Bologna 1145.0 239.0 \n",
+ "Cremonese 1168.0 388.0 \n",
+ "Empoli 1104.0 242.0 \n",
+ "Fiorentina 1061.0 274.0 \n",
+ "Verona 1173.0 385.0 \n",
+ "Inter 960.0 221.0 \n",
+ "Juventus 1064.0 247.0 \n",
+ "Lazio 1157.0 207.0 \n",
+ "Lecce 1141.0 396.0 \n",
+ "Milan 1059.0 249.0 \n",
+ "Monza 1075.0 226.0 \n",
+ "Napoli 1049.0 214.0 \n",
+ "Roma 1095.0 205.0 \n",
+ "Salernitana 1143.0 268.0 \n",
+ "Sampdoria 1126.0 340.0 \n",
+ "Sassuolo 1088.0 243.0 \n",
+ "Spezia 1225.0 337.0 \n",
+ "Torino 1095.0 347.0 \n",
+ "Udinese 1063.0 222.0 \n",
+ "Avg 1112.6 275.5 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
- "Atalanta 303.00 45.00 \n",
- "Bologna 180.00 55.40 \n",
- "Cremonese 273.00 57.30 \n",
- "Empoli 203.00 53.20 \n",
- "Fiorentina 302.00 46.40 \n",
- "Verona 411.00 46.80 \n",
- "Inter 251.00 44.80 \n",
- "Juventus 247.00 49.30 \n",
- "Lazio 193.00 50.40 \n",
- "Lecce 295.00 55.80 \n",
- "Milan 288.00 44.80 \n",
- "Monza 225.00 48.70 \n",
- "Napoli 244.00 46.30 \n",
- "Roma 234.00 45.70 \n",
- "Salernitana 240.00 51.80 \n",
- "Sampdoria 327.00 49.80 \n",
- "Sassuolo 183.00 55.60 \n",
- "Spezia 281.00 53.40 \n",
- "Torino 309.00 52.20 \n",
- "Udinese 254.00 45.50 \n",
- "Avg 262.15 49.91 \n",
+ "Atalanta 317.0 45.10 \n",
+ "Bologna 193.0 55.30 \n",
+ "Cremonese 296.0 56.70 \n",
+ "Empoli 211.0 53.40 \n",
+ "Fiorentina 317.0 46.40 \n",
+ "Verona 422.0 47.70 \n",
+ "Inter 266.0 45.40 \n",
+ "Juventus 257.0 49.00 \n",
+ "Lazio 216.0 48.90 \n",
+ "Lecce 316.0 55.60 \n",
+ "Milan 305.0 44.90 \n",
+ "Monza 241.0 48.40 \n",
+ "Napoli 259.0 45.20 \n",
+ "Roma 245.0 45.60 \n",
+ "Salernitana 247.0 52.00 \n",
+ "Sampdoria 339.0 50.10 \n",
+ "Sassuolo 195.0 55.50 \n",
+ "Spezia 285.0 54.20 \n",
+ "Torino 319.0 52.10 \n",
+ "Udinese 264.0 45.70 \n",
+ "Avg 275.5 49.86 \n",
"\n",
- "[21 rows x 321 columns]"
+ "[21 rows x 303 columns]"
]
},
- "execution_count": 60,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -1652,8 +1652,8 @@
},
{
"cell_type": "code",
- "execution_count": 61,
- "id": "f4017b2f",
+ "execution_count": 8,
+ "id": "32f56138",
"metadata": {},
"outputs": [],
"source": [
@@ -1665,8 +1665,8 @@
" 'goals_per_shot',\n",
" 'goals_per_shot_on_target',\n",
" 'passes_pct',\n",
- " 'dribble_tackles_pct',\n",
- " 'dribbles_completed_pct',\n",
+ " #'dribble_tackles_pct',\n",
+ " #'dribbles_completed_pct',\n",
" 'aerials_won_pct',\n",
" 'team_possession',\n",
" 'team_goals_assists_per90',\n",
@@ -1681,7 +1681,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -1698,8 +1698,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -1714,7 +1714,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -1731,8 +1731,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -1756,9 +1756,9 @@
" 'passes_switches',\n",
" 'crosses',\n",
" 'corner_kicks',\n",
- " 'dribble_tackles',\n",
- " 'dribbles_vs',\n",
- " 'dribbled_past',\n",
+ " #'dribble_tackles',\n",
+ " #'dribbles_vs',\n",
+ " #'dribbled_past',\n",
" 'blocks',\n",
" 'blocked_shots',\n",
" 'blocked_passes',\n",
@@ -1772,8 +1772,8 @@
" 'touches_att_3rd',\n",
" 'touches_att_pen_area',\n",
" 'touches_live_ball',\n",
- " 'dribbles_completed',\n",
- " 'dribbles',\n",
+ " #'dribbles_completed',\n",
+ " #'dribbles',\n",
" 'passes_received',\n",
" 'miscontrols',\n",
" 'dispossessed',\n",
@@ -1788,13 +1788,134 @@
"\n",
"features_rel_gamecorr = [\n",
" 'goals',\n",
+ " 'assists',\n",
" 'xg',\n",
" 'npxg',\n",
- " 'assists',\n",
" 'cards_yellow',\n",
" 'cards_red'\n",
- "]\n",
+ "]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "4001f3f8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "features_abs_gk = [\n",
+ " 'gk_games',\n",
+ " 'gk_games_starts',\n",
+ " 'gk_minutes',\n",
+ " 'gk_goals_against_per90', \n",
+ " 'gk_save_pct',\n",
+ " 'gk_clean_sheets_pct',\n",
+ " 'gk_psxg_net_per90',\n",
+ " 'gk_passes_pct_launched',\n",
+ " 'gk_pct_passes_launched',\n",
+ " 'gk_passes_length_avg',\n",
+ " 'gk_pct_goal_kicks_launched',\n",
+ " 'gk_goal_kick_length_avg',\n",
+ " 'gk_crosses_stopped_pct',\n",
+ " 'gk_def_actions_outside_pen_area_per90',\n",
+ " 'gk_avg_distance_def_actions',\n",
+ " \n",
+ " 'team_possession',\n",
+ " 'team_goals_assists_per90',\n",
+ " 'team_goals_pens_per90',\n",
+ " 'team_goals_assists_pens_per90',\n",
+ " 'team_xg_per90',\n",
+ " 'team_gk_goals_against_per90',\n",
+ " 'team_gk_save_pct',\n",
+ " 'team_gk_clean_sheets_pct',\n",
+ " 'team_passes_pct',\n",
+ " 'team_passes_pct_medium',\n",
+ " 'team_passes_pct_long',\n",
+ " 'team_sca_per90',\n",
+ " 'team_gca_per90',\n",
+ " #'team_dribble_tackles_pct',\n",
+ " 'team_aerials_won_pct',\n",
+ " 'vs_team_possession',\n",
+ " 'vs_team_goals_per90',\n",
+ " 'vs_team_assists_per90',\n",
+ " 'vs_team_xg_per90',\n",
+ " 'vs_team_gk_save_pct',\n",
+ " 'vs_team_gk_clean_sheets_pct',\n",
+ " 'vs_team_gk_pct_passes_launched',\n",
+ " 'vs_team_gk_crosses_stopped_pct',\n",
+ " 'vs_team_shots_on_target_per90',\n",
+ " 'vs_team_passes_pct',\n",
+ " 'vs_team_passes_pct_short',\n",
+ " 'vs_team_passes_pct_medium',\n",
+ " 'vs_team_passes_pct_long',\n",
+ " 'vs_team_sca_per90',\n",
+ " 'vs_team_gca_per90',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
+ " 'vs_team_aerials_won_pct',\n",
+ " 'opp_team_possession',\n",
+ " 'opp_team_goals_assists_per90',\n",
+ " 'opp_team_goals_pens_per90',\n",
+ " 'opp_team_goals_assists_pens_per90',\n",
+ " 'opp_team_xg_per90',\n",
+ " 'opp_team_gk_goals_against_per90',\n",
+ " 'opp_team_gk_save_pct',\n",
+ " 'opp_team_gk_clean_sheets_pct',\n",
+ " 'opp_team_passes_pct',\n",
+ " 'opp_team_passes_pct_medium',\n",
+ " 'opp_team_passes_pct_long',\n",
+ " 'opp_team_sca_per90',\n",
+ " 'opp_team_gca_per90',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
+ " 'opp_team_aerials_won_pct',\n",
+ " 'opp_vs_team_possession',\n",
+ " 'opp_vs_team_goals_per90',\n",
+ " 'opp_vs_team_assists_per90',\n",
+ " 'opp_vs_team_xg_per90',\n",
+ " 'opp_vs_team_gk_save_pct',\n",
+ " 'opp_vs_team_gk_clean_sheets_pct',\n",
+ " 'opp_vs_team_gk_pct_passes_launched',\n",
+ " 'opp_vs_team_gk_crosses_stopped_pct',\n",
+ " 'opp_vs_team_shots_on_target_per90',\n",
+ " 'opp_vs_team_passes_pct',\n",
+ " 'opp_vs_team_passes_pct_short',\n",
+ " 'opp_vs_team_passes_pct_medium',\n",
+ " 'opp_vs_team_passes_pct_long',\n",
+ " 'opp_vs_team_sca_per90',\n",
+ " 'opp_vs_team_gca_per90',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
+ " 'opp_vs_team_aerials_won_pct',\n",
+ " \n",
+ " 'vote_avg',\n",
+ " 'vote_std']\n",
"\n",
+ "features_rel_gk = [\n",
+ " 'gk_shots_on_target_against',\n",
+ " 'gk_saves',\n",
+ " 'gk_free_kick_goals_against',\n",
+ " 'gk_corner_kick_goals_against',\n",
+ " 'gk_own_goals_against',\n",
+ " 'gk_psxg',\n",
+ " 'gk_psnpxg_per_shot_on_target_against',\n",
+ " 'gk_psxg_net',\n",
+ " 'gk_passes_completed_launched',\n",
+ " 'gk_passes_launched',\n",
+ " 'gk_passes',\n",
+ " 'gk_passes_throws',\n",
+ " 'gk_goal_kicks',\n",
+ " 'gk_crosses',\n",
+ " 'gk_crosses_stopped',\n",
+ "]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "f4017b2f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
"DEL_G = False\n",
"\n",
"features_to_del = [\n",
@@ -1842,114 +1963,6 @@
" \n",
" return out\n",
"\n",
- "\n",
- "\n",
- "\n",
- "features_abs_gk = [\n",
- " 'gk_games',\n",
- " 'gk_games_starts',\n",
- " 'gk_minutes',\n",
- " 'gk_goals_against_per90', \n",
- " 'gk_save_pct',\n",
- " 'gk_clean_sheets_pct',\n",
- " 'gk_psxg_net_per90',\n",
- " 'gk_passes_pct_launched',\n",
- " 'gk_pct_passes_launched',\n",
- " 'gk_passes_length_avg',\n",
- " 'gk_pct_goal_kicks_launched',\n",
- " 'gk_goal_kick_length_avg',\n",
- " 'gk_crosses_stopped_pct',\n",
- " 'gk_def_actions_outside_pen_area_per90',\n",
- " 'gk_avg_distance_def_actions',\n",
- " \n",
- " 'team_possession',\n",
- " 'team_goals_assists_per90',\n",
- " 'team_goals_pens_per90',\n",
- " 'team_goals_assists_pens_per90',\n",
- " 'team_xg_per90',\n",
- " 'team_gk_goals_against_per90',\n",
- " 'team_gk_save_pct',\n",
- " 'team_gk_clean_sheets_pct',\n",
- " 'team_passes_pct',\n",
- " 'team_passes_pct_medium',\n",
- " 'team_passes_pct_long',\n",
- " 'team_sca_per90',\n",
- " 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
- " 'team_aerials_won_pct',\n",
- " 'vs_team_possession',\n",
- " 'vs_team_goals_per90',\n",
- " 'vs_team_assists_per90',\n",
- " 'vs_team_xg_per90',\n",
- " 'vs_team_gk_save_pct',\n",
- " 'vs_team_gk_clean_sheets_pct',\n",
- " 'vs_team_gk_pct_passes_launched',\n",
- " 'vs_team_gk_crosses_stopped_pct',\n",
- " 'vs_team_shots_on_target_per90',\n",
- " 'vs_team_passes_pct',\n",
- " 'vs_team_passes_pct_short',\n",
- " 'vs_team_passes_pct_medium',\n",
- " 'vs_team_passes_pct_long',\n",
- " 'vs_team_sca_per90',\n",
- " 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
- " 'vs_team_aerials_won_pct',\n",
- " 'opp_team_possession',\n",
- " 'opp_team_goals_assists_per90',\n",
- " 'opp_team_goals_pens_per90',\n",
- " 'opp_team_goals_assists_pens_per90',\n",
- " 'opp_team_xg_per90',\n",
- " 'opp_team_gk_goals_against_per90',\n",
- " 'opp_team_gk_save_pct',\n",
- " 'opp_team_gk_clean_sheets_pct',\n",
- " 'opp_team_passes_pct',\n",
- " 'opp_team_passes_pct_medium',\n",
- " 'opp_team_passes_pct_long',\n",
- " 'opp_team_sca_per90',\n",
- " 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
- " 'opp_team_aerials_won_pct',\n",
- " 'opp_vs_team_possession',\n",
- " 'opp_vs_team_goals_per90',\n",
- " 'opp_vs_team_assists_per90',\n",
- " 'opp_vs_team_xg_per90',\n",
- " 'opp_vs_team_gk_save_pct',\n",
- " 'opp_vs_team_gk_clean_sheets_pct',\n",
- " 'opp_vs_team_gk_pct_passes_launched',\n",
- " 'opp_vs_team_gk_crosses_stopped_pct',\n",
- " 'opp_vs_team_shots_on_target_per90',\n",
- " 'opp_vs_team_passes_pct',\n",
- " 'opp_vs_team_passes_pct_short',\n",
- " 'opp_vs_team_passes_pct_medium',\n",
- " 'opp_vs_team_passes_pct_long',\n",
- " 'opp_vs_team_sca_per90',\n",
- " 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
- " 'opp_vs_team_aerials_won_pct',\n",
- " \n",
- " 'vote_avg',\n",
- " 'vote_std']\n",
- "\n",
- "features_rel_gk = [\n",
- " 'gk_shots_on_target_against',\n",
- " 'gk_saves',\n",
- " 'gk_free_kick_goals_against',\n",
- " 'gk_corner_kick_goals_against',\n",
- " 'gk_own_goals_against',\n",
- " 'gk_psxg',\n",
- " 'gk_psnpxg_per_shot_on_target_against',\n",
- " 'gk_psxg_net',\n",
- " 'gk_passes_completed_launched',\n",
- " 'gk_passes_launched',\n",
- " 'gk_passes',\n",
- " 'gk_passes_throws',\n",
- " 'gk_goal_kicks',\n",
- " 'gk_crosses',\n",
- " 'gk_crosses_stopped',\n",
- "]\n",
- "\n",
"def player_match_data_ext_gk(player, pteam, oppteam, oldseason = False):\n",
" pdata = player_match_data(player, pteam, oppteam, oldseason = oldseason)\n",
" \n",
@@ -1985,7 +1998,7 @@
},
{
"cell_type": "code",
- "execution_count": 62,
+ "execution_count": 11,
"id": "6f8707b8",
"metadata": {},
"outputs": [
@@ -2005,7 +2018,7 @@
"Sepe 1\n",
"Milinkovic-Savic V. 1\n",
"Musso 1\n",
- "Maignan 0.7353365384615383\n",
+ "Maignan 0.7094551282051282\n",
"Audero 1\n",
"Montipo' 1\n",
"Skorupski 1\n",
@@ -2013,377 +2026,375 @@
"Dragowski 1\n",
"Terracciano 1\n",
"Tatarusanu 1\n",
- "Handanovic 0.7268191268191269\n",
+ "Handanovic 0.7012375012375013\n",
"Sportiello 1\n",
"Perin 1\n",
"Zoet 1\n",
"Pegolo 1\n",
- "Mirante 0.7353365384615383\n",
- "Ujkani 1\n",
- "Berisha 1\n",
- "Marchetti 1\n",
- "Padelli 1\n",
- "Bardi 1\n",
- "Cordaz 1\n",
- "Pinsoglio 1\n",
- "Fiorillo 1\n",
- "Cragno 1\n",
- "Sirigu 1\n",
- "Rossi F. 1\n",
- "Berardi A. 1\n",
- "Gemello 1\n",
- "Ravaglia 1\n",
- "Boer 1\n",
- "Adamonis 1\n",
- "Marfella 1\n",
+ "Mirante 0.0\n",
+ "Ujkani 0.0\n",
+ "Berisha 0.0\n",
+ "Marchetti 0.0\n",
+ "Padelli 0.0\n",
+ "Bardi 0.0\n",
+ "Cordaz 0.0\n",
+ "Pinsoglio 0.0\n",
+ "Fiorillo 0.0\n",
+ "Cragno 0.0\n",
+ "Sirigu 0.0\n",
+ "Rossi F. 0.0\n",
+ "Berardi A. 0.0\n",
+ "Gemello 0.0\n",
+ "Ravaglia 0.0\n",
+ "Boer 0.0\n",
+ "Adamonis 0.0\n",
+ "Marfella 0.0\n",
"Zovko 1\n",
- "Piana 1\n",
+ "Piana 0.0\n",
"Dimarco 1\n",
"Smalling 1\n",
"Di Lorenzo 1\n",
"Danilo 1\n",
- "Hernandez T. 0.8929086538461539\n",
- "Udogie 0.7683516483516484\n",
+ "Hernandez T. 0.9121565934065934\n",
+ "Udogie 0.7876399790685507\n",
"Parisi 1\n",
- "Mario Rui 0.790950226244344\n",
+ "Mario Rui 0.8108058608058609\n",
"Romagnoli 1\n",
- "Bastoni S. 0.7048387096774194\n",
+ "Bastoni S. 0.6800307219662058\n",
"Mazzocchi 1\n",
- "Tomori 1\n",
+ "Tomori 0.9938910551813778\n",
"Scalvini 1\n",
"Toloi 1\n",
- "Demiral 1\n",
+ "Demiral 0.9845499738356883\n",
"Maehle 1\n",
- "Dumfries 0.9167832167832167\n",
- "Juan Jesus 0.5602564102564102\n",
+ "Dumfries 0.8845154845154845\n",
+ "Juan Jesus 0.5405372405372405\n",
"Depaoli 1\n",
"Mancini 1\n",
- "Ibanez 0.9392533936651583\n",
- "Rodrigo Becao 0.6723076923076923\n",
- "Ebuehi 0.9942307692307694\n",
+ "Ibanez 0.953889248006895\n",
+ "Rodrigo Becao 0.6949764521193094\n",
+ "Ebuehi 1\n",
"Gosens 1\n",
"Darmian 1\n",
"Reca 1\n",
- "Bremer 0.8846736596736595\n",
- "Rrahmani 0.662121212121212\n",
- "Vojvoda 0.8114058355437664\n",
- "Bastoni 0.8674937965260546\n",
- "Milenkovic 0.7415158371040723\n",
+ "Bremer 0.9015984015984014\n",
+ "Rrahmani 0.6879564879564879\n",
+ "Vojvoda 0.8387646835922699\n",
+ "Bastoni 0.8892709441096539\n",
+ "Milenkovic 0.7631113984055161\n",
"Kalulu 1\n",
"Martinez Quarta 1\n",
- "Casale 0.6201388888888889\n",
+ "Casale 0.6428062678062678\n",
"Perez N. 1\n",
"Izzo 1\n",
"Luperto 1\n",
- "Skriniar 0.9124175824175823\n",
- "Rodriguez R. 0.8898190045248868\n",
+ "Skriniar 0.9266352694924124\n",
+ "Rodriguez R. 0.8585003232062055\n",
"Marusic 1\n",
- "Lazzari 0.921712158808933\n",
- "Kyriakopoulos 0.7106100795755967\n",
- "Ampadu 0.888262599469496\n",
+ "Lazzari 0.8892709441096539\n",
+ "Kyriakopoulos 0.056997600101048373\n",
+ "Ampadu 0.911961601616774\n",
"Ismajli 1\n",
"Llorente D. affine to Ibanez\n",
- "Llorente D. 0.0\n",
+ "Llorente D. 0.04769446240034476\n",
"Cambiaso 1\n",
- "Hysaj 0.9273209549071618\n",
- "Biraghi 0.863097713097713\n",
- "Medel 0.8658508158508158\n",
- "Bonucci 0.6302884615384615\n",
- "Calabria 0.7757396449704141\n",
- "Acerbi 0.7441666666666666\n",
+ "Hysaj 0.9505999747379058\n",
+ "Biraghi 0.8765468765468765\n",
+ "Medel 0.8353757353757354\n",
+ "Bonucci 0.6081043956043956\n",
+ "Calabria 0.8108058608058608\n",
+ "Acerbi 0.7713675213675213\n",
"Spinazzola 1\n",
- "Lykogiannis 0.9813186813186815\n",
+ "Lykogiannis 0.9445316588173731\n",
"Pellegrini Lu. 0.0\n",
"Djidji 1\n",
- "Augello 0.8870726495726495\n",
- "Singo 0.7203296703296703\n",
+ "Augello 0.9008954008954009\n",
+ "Singo 0.6949764521193094\n",
"Mari' 1\n",
- "De Vrij 0.7283333333333333\n",
- "Patric 0.7003205128205129\n",
- "Faraoni 0.42019230769230775\n",
- "Ceccherini 0.6920814479638008\n",
+ "De Vrij 0.7026984126984127\n",
+ "Patric 0.6756715506715507\n",
+ "Faraoni 0.40540293040293046\n",
+ "Ceccherini 0.7154169360051713\n",
"Hateboer 1\n",
"Rogerio 1\n",
- "Aina 0.8804029304029304\n",
- "Ferrari G. 0.8870726495726495\n",
+ "Aina 0.9266352694924122\n",
+ "Ferrari G. 0.855850630850631\n",
"Fazio 1\n",
"Buongiorno 1\n",
- "Gunter 0.7441666666666666\n",
+ "Gunter 0.7162698412698413\n",
"Troost-Ekong affine to Fazio\n",
- "Troost-Ekong 0.10504807692307694\n",
- "Soumaoro 0.9004120879120879\n",
+ "Troost-Ekong 0.20270146520146523\n",
+ "Soumaoro 0.8687205651491368\n",
"Ceccaroni 0.0\n",
- "Soppy 0.6133241758241759\n",
- "Ferrari A. 0.2986622073578596\n",
- "Zappacosta 0.24717194570135745\n",
- "Gyomber 0.7590570719602977\n",
- "Alex Sandro 0.9604395604395606\n",
- "Pezzella Giu. 0.7359890109890109\n",
- "Bereszynski 0.735989010989011\n",
- "Venuti 0.6576923076923077\n",
- "Palomino 0.24717194570135745\n",
- "Nuytinck 0.318019943019943\n",
+ "Soppy 0.5903322867608581\n",
+ "Ferrari A. 0.359332696289218\n",
+ "Zappacosta 0.23847231200172375\n",
+ "Gyomber 0.7323407775020678\n",
+ "Alex Sandro 0.9845499738356883\n",
+ "Pezzella Giu. 0.7083987441130296\n",
+ "Bereszynski 0.7083987441130298\n",
+ "Venuti 0.6345437171524128\n",
+ "Palomino 0.23847231200172375\n",
+ "Nuytinck 0.36731786731786725\n",
"Magnani 1\n",
- "Colley 0.787860576923077\n",
- "Nikolaou 0.8403846153846154\n",
+ "Colley 0.8108058608058609\n",
+ "Nikolaou 0.855850630850631\n",
"Terzic 1\n",
- "Igor 0.8403846153846153\n",
+ "Igor 0.8648595848595849\n",
"Toljan 1\n",
- "Zortea 0.5329575596816976\n",
+ "Zortea 0.056997600101048373\n",
"Dawidowicz 1\n",
- "Bellanova 0.5539702233250621\n",
- "Erlic 0.7441666666666666\n",
+ "Bellanova 0.5332033557840009\n",
+ "Erlic 0.7713675213675213\n",
"Ballo-Toure' affine to Calabria\n",
- "Ballo-Toure' 0.19393491124260354\n",
- "Stojanovic 0.8149184149184149\n",
- "Amian 0.6828124999999999\n",
- "Zima 0.7563461538461539\n",
+ "Ballo-Toure' 0.1871090448013525\n",
+ "Stojanovic 0.8353757353757354\n",
+ "Amian 0.7094551282051282\n",
+ "Zima 0.7297252747252747\n",
"De Winter 1\n",
"Romagnoli S. 0.0\n",
- "Ghiglione 0.7926035502958579\n",
- "Rugani 0.4201923076923077\n",
- "De Sciglio 0.7563461538461539\n",
- "Djimsiti 0.4337468982630273\n",
- "Caldara 0.7201612903225807\n",
- "Karsdorp 0.4201923076923077\n",
- "Marchizza 0.27115384615384613\n",
+ "Ghiglione 0.7628909551986474\n",
+ "Rugani 0.4054029304029304\n",
+ "De Sciglio 0.8108058608058608\n",
+ "Djimsiti 0.47079049982275784\n",
+ "Caldara 0.7464846980976013\n",
+ "Karsdorp 0.4054029304029304\n",
+ "Marchizza 0.34798534798534797\n",
"Kjaer 1\n",
"Ruggeri 1\n",
- "Zanoli 0.5724358974358975\n",
+ "Zanoli 0.6887210012210012\n",
"Radovanovic 1\n",
- "D'ambrosio 0.3361538461538462\n",
- "De Silvestri 0.48796526054590567\n",
- "Chiriches 0.4145225464190981\n",
- "Murru 0.6111888111888112\n",
- "Bonifazi 0.5347902097902096\n",
- "Walukiewicz 0.9813186813186815\n",
- "Walukiewicz 0.3666039729501268\n",
- "Ranieri L. 0.12720797720797722\n",
+ "D'ambrosio 0.32432234432234436\n",
+ "De Silvestri 0.47079049982275784\n",
+ "Chiriches 0.455980800808387\n",
+ "Murru 0.6633866133866133\n",
+ "Bonifazi 0.5159673659673659\n",
+ "Walukiewicz 0.9445316588173731\n",
+ "Walukiewicz 0.36246197549180287\n",
+ "Ranieri L. 0.12243928910595576\n",
"Gabbia 1\n",
- "Kumbulla 0.395475113122172\n",
- "Lovato 0.6439903846153846\n",
- "Tuia 0.1908119658119658\n",
- "Ferrer 0.12450142450142451\n",
+ "Kumbulla 0.38155569920275806\n",
+ "Lovato 0.7231570512820512\n",
+ "Tuia 0.18365893365893363\n",
+ "Ferrer 0.12011938678605345\n",
"Antov 1\n",
- "Vasquez 0.5519917582417583\n",
+ "Vasquez 0.5903322867608581\n",
"Ruan 1\n",
"Ostigard 1\n",
"Coppola D. 1\n",
- "Cacace 0.6723076923076924\n",
- "Conti 0.24010989010989015\n",
- "Conti 0.8679180434949665\n",
- "Marrone 0.16355311355311355\n",
+ "Cacace 0.6486446886446887\n",
+ "Conti 0.2316588173731031\n",
+ "Conti 0.843001582405036\n",
+ "Marrone 0.15742194313622884\n",
"Tonelli 0.0\n",
"Radu 1\n",
- "Florenzi 0.14006410256410257\n",
- "Sala 0.5602564102564103\n",
+ "Florenzi 0.13513431013431015\n",
+ "Sala 0.5405372405372405\n",
"Fares 0.0\n",
"Fares 0.0\n",
"Romagna 0.0\n",
"Romagna 0.0\n",
- "Muldur 0.054218362282878414\n",
+ "Muldur 0.05231005553586199\n",
"Amey 0.0\n",
"Zaccagni 1\n",
- "Milinkovic-Savic 0.863097713097713\n",
- "Barella 0.8870726495726495\n",
- "Zielinski 0.9604395604395605\n",
- "Luis Alberto 0.8403846153846154\n",
- "Felipe Anderson 0.8846153846153846\n",
+ "Milinkovic-Savic 0.8765468765468765\n",
+ "Barella 0.9008954008954009\n",
+ "Zielinski 0.972967032967033\n",
+ "Luis Alberto 0.8585003232062055\n",
+ "Felipe Anderson 0.8961538461538462\n",
"Koopmeiners 1\n",
- "Calhanoglu 0.9392533936651583\n",
- "Frattesi 0.9337606837606838\n",
- "Diaz B. 0.921712158808933\n",
+ "Calhanoglu 0.953889248006895\n",
+ "Frattesi 0.945940170940171\n",
+ "Diaz B. 0.9415809996455157\n",
"Zambo Anguissa 1\n",
- "Elmas 0.863097713097713\n",
+ "Elmas 0.8765468765468765\n",
"Miranchuk 1\n",
"Samardzic 1\n",
"Pereyra 1\n",
- "Politano 0.9167832167832167\n",
- "Rabiot 0.8403846153846155\n",
- "Lazovic 0.790950226244344\n",
+ "Politano 0.9336552336552336\n",
+ "Rabiot 0.8614812271062272\n",
+ "Lazovic 0.8108058608058609\n",
"Lobotka 1\n",
- "Bonaventura 0.921712158808933\n",
+ "Bonaventura 0.9415809996455157\n",
"Pessina 1\n",
- "Tonali 0.7936965811965813\n",
+ "Tonali 0.8108058608058608\n",
"Pellegrini Lo. 1\n",
- "El Shaarawy 0.8715099715099714\n",
- "Orsolini 0.9852785145888594\n",
+ "El Shaarawy 0.900895400895401\n",
+ "Orsolini 1\n",
"Ikone' 1\n",
- "Candreva 0.9063568376068376\n",
- "Bennacer 1\n",
- "Pasalic 0.8176715176715176\n",
- "Mkhitaryan 0.9417493796526054\n",
- "Chiesa 0.7203296703296703\n",
- "Bandinelli 0.9604395604395605\n",
+ "Candreva 0.9182946682946682\n",
+ "Bennacer 0.9938910551813778\n",
+ "Pasalic 0.8327195327195327\n",
+ "Mkhitaryan 0.9597660404112016\n",
+ "Chiesa 0.8108058608058608\n",
+ "Bandinelli 0.972967032967033\n",
"Fagioli affine to Henderson L.\n",
- "Fagioli 0.4865384615384616\n",
- "Messias 0.9050295857988164\n",
+ "Fagioli 0.512087912087912\n",
+ "Messias 0.9355452240067625\n",
"Arslan 1\n",
"Ricci S. 1\n",
"Verdi 1\n",
"Sensi 1\n",
- "Barak 0.9474801061007958\n",
- "Soriano 0.9124175824175823\n",
+ "Barak 0.9689592017178223\n",
+ "Soriano 0.9266352694924124\n",
"Dominguez 1\n",
- "Brozovic 0.48021978021978023\n",
- "Cristante 0.9886877828054298\n",
- "Saponara 0.9273209549071618\n",
+ "Brozovic 0.5096493982208269\n",
+ "Cristante 1\n",
+ "Saponara 0.9505999747379058\n",
"Vecino 1\n",
- "Locatelli 0.921712158808933\n",
- "Zaniolo 0.7803571428571429\n",
+ "Locatelli 0.9415809996455157\n",
+ "Zaniolo 0.7528911564625851\n",
"Maldini 1\n",
- "Marin 0.9063568376068376\n",
+ "Marin 0.9182946682946682\n",
"Zalewski 1\n",
- "Bajrami 0.9322527472527472\n",
+ "Bajrami 0.04722658294086866\n",
"Coulibaly L. 1\n",
"De Roon 1\n",
"Mandragora 1\n",
"Bourabia 1\n",
- "Sottil 0.49022435897435895\n",
+ "Sottil 0.4729700854700855\n",
"Aebischer 1\n",
"Ederson D.s. 1\n",
"Miretti 1\n",
- "Cataldi 0.9454326923076923\n",
+ "Cataldi 0.9628319597069598\n",
"Djuricic 1\n",
"Linetty 1\n",
"Haas 1\n",
- "Walace 0.9337606837606838\n",
+ "Walace 0.945940170940171\n",
"Agudelo 1\n",
- "Pobega 0.6244755244755245\n",
+ "Pobega 0.6010656010656009\n",
"Nicolussi Caviglia 1\n",
- "Rovella 0.8995421245421246\n",
+ "Rovella 0.9445316588173729\n",
"Amrabat 1\n",
- "Tameze 0.8403846153846153\n",
- "Gyasi 0.8403846153846154\n",
- "Ilic 0.5903245192307693\n",
- "Matheus Henrique 0.8067692307692307\n",
- "Harroui 0.9167832167832167\n",
+ "Tameze 0.8534798534798534\n",
+ "Gyasi 0.8108058608058608\n",
+ "Ilic 0.5681948260073261\n",
+ "Matheus Henrique 0.8432380952380952\n",
+ "Harroui 0.9582251082251082\n",
"Volpato 1\n",
- "Duncan 0.662121212121212\n",
- "Cuadrado 0.763986013986014\n",
- "Ekdal 0.9247041420118343\n",
+ "Duncan 0.6388167388167388\n",
+ "Cuadrado 0.7862359862359862\n",
+ "Ekdal 0.8900394477317554\n",
"Schouten 1\n",
"Obiang 1\n",
- "Kovalenko 0.6464497041420117\n",
- "Crnigoj 0.050509049773755664\n",
- "Basic 0.8114058355437664\n",
- "Asllani 0.8213210702341138\n",
+ "Kovalenko 0.6236968160045083\n",
+ "Crnigoj 0.09723120017237664\n",
+ "Basic 0.7828470380194518\n",
+ "Asllani 0.8623984710941232\n",
"Sabiri 1\n",
- "Grassi 0.6296794871794873\n",
- "Krunic 0.5402472527472527\n",
+ "Grassi 0.6060744810744811\n",
+ "Krunic 0.5791470434327577\n",
"Rincon 1\n",
"Miguel Veloso 1\n",
- "Henderson L. 0.6192307692307691\n",
- "Lopez M. 0.6723076923076923\n",
- "Cuisance 0.0\n",
- "Saelemaekers 0.5602564102564103\n",
- "Maggiore 0.4906593406593407\n",
+ "Henderson L. 0.6401098901098902\n",
+ "Lopez M. 0.6486446886446886\n",
+ "Cuisance 0.12714849253310792\n",
+ "Saelemaekers 0.5855820105820106\n",
+ "Maggiore 0.4722658294086865\n",
"Akpa Akpro 0.0\n",
"Akpa Akpro 0.0\n",
- "Maleh 0.30666208791208793\n",
+ "Maleh 0.29516614338042907\n",
"Romero L. 1\n",
"Ceide 1\n",
- "Benassi 0.28621794871794876\n",
- "Gagliardini 0.8403846153846154\n",
- "Vieira 1\n",
+ "Benassi 0.4132326007326007\n",
+ "Gagliardini 0.9008954008954009\n",
+ "Vieira 0.11806645735217164\n",
"Bianco 1\n",
"Galdames 0.0\n",
- "Kastanos 0.6847578347578348\n",
- "Vignato 0.21466346153846153\n",
+ "Kastanos 0.7207163207163206\n",
+ "Vignato 0.20661630036630035\n",
"Askildsen 1\n",
"Bove 1\n",
"Bohinen 1\n",
"Bakayoko 0.0\n",
- "Zurkowski 0.049065934065934076\n",
- "Castrovilli 0.21923076923076923\n",
- "Demme 0.2653846153846154\n",
+ "Zurkowski 0.04722658294086866\n",
+ "Castrovilli 0.2115145723841376\n",
+ "Demme 0.256043956043956\n",
"Darboe 0.0\n",
- "Darboe 0.3361538461538462\n",
+ "Darboe 0.32432234432234436\n",
"Urbanski 0.0\n",
"Yepes 1\n",
- "Osimhen 0.9960113960113961\n",
- "Martinez L. 0.9604395604395605\n",
- "Dybala 0.8290450928381962\n",
- "Rafael Leao 0.9392533936651583\n",
- "Immobile 0.8132754342431762\n",
+ "Osimhen 1\n",
+ "Martinez L. 0.972967032967033\n",
+ "Dybala 0.8549640015157256\n",
+ "Rafael Leao 0.953889248006895\n",
+ "Immobile 0.8369608885737918\n",
"Vlahovic 1\n",
- "Arnautovic 0.7130536130536129\n",
- "Dzeko 0.9337606837606838\n",
+ "Arnautovic 0.6879564879564879\n",
+ "Dzeko 0.945940170940171\n",
"Nzola 1\n",
"Beto 1\n",
"Giroud 1\n",
- "Abraham 0.9085239085239084\n",
- "Deulofeu 0.790950226244344\n",
- "Simeone 0.5397252747252748\n",
+ "Abraham 0.9203742203742203\n",
+ "Deulofeu 0.7631113984055161\n",
+ "Simeone 0.5667189952904238\n",
"Lozano 1\n",
"Correa 1\n",
- "Berardi 0.6111888111888112\n",
- "Pedro 0.9454326923076923\n",
- "Sanabria 0.8693633952254641\n",
+ "Berardi 0.6388167388167388\n",
+ "Pedro 0.9628319597069598\n",
+ "Sanabria 0.8946823291650877\n",
"Thauvin affine to Deulofeu\n",
- "Thauvin 0.0\n",
+ "Thauvin 0.04769446240034476\n",
"Cabral 1\n",
- "Caprari 0.9813186813186814\n",
+ "Caprari 0.9917582417582418\n",
"Piatek 1\n",
- "Rebic 0.8403846153846154\n",
- "Bonazzoli 0.9454326923076923\n",
- "Zapata D. 0.9104166666666667\n",
- "Gonzalez N. 0.5093240093240092\n",
- "Brekalo 0.0\n",
- "Kean 0.9454326923076923\n",
+ "Rebic 0.878373015873016\n",
+ "Bonazzoli 0.9628319597069598\n",
+ "Zapata D. 0.945940170940171\n",
+ "Gonzalez N. 0.5405372405372406\n",
+ "Brekalo 0.051654075091575095\n",
+ "Kean 0.9628319597069598\n",
"Okereke 1\n",
- "Muriel 0.747008547008547\n",
- "Pinamonti 0.8109508547008547\n",
+ "Muriel 0.7807760141093475\n",
+ "Pinamonti 0.7805504680504681\n",
"Di Francesco F. 1\n",
- "Caputo 0.23851495726495728\n",
+ "Caputo 0.27548840048840045\n",
"Boga 1\n",
"Alvarez A. affine to Raspadori\n",
- "Alvarez A. 0.7003205128205129\n",
+ "Alvarez A. 0.7207163207163207\n",
"Petagna 1\n",
- "Barrow 0.6920814479638008\n",
+ "Barrow 0.7154169360051713\n",
"Djuric 1\n",
- "Henry 0.8326340326340327\n",
+ "Henry 0.8014208014208013\n",
"Success 1\n",
"Gabbiadini 1\n",
- "Lammers 0.5724358974358974\n",
"Kallon 1\n",
"Nestorovski 1\n",
- "Raspadori 0.6678418803418803\n",
- "Lasagna 0.9604395604395606\n",
+ "Raspadori 0.6428062678062678\n",
+ "Lasagna 0.9845499738356883\n",
"Belotti 1\n",
"Pellegri 1\n",
- "Verde 0.5093240093240092\n",
- "Destro 0.636039886039886\n",
+ "Verde 0.5405372405372406\n",
+ "Destro 0.6121964455297788\n",
"Seck 1\n",
- "Sansone 0.6225071225071225\n",
- "Quagliarella 0.7130536130536129\n",
- "Defrel 0.39807692307692305\n",
- "Pjaca 0.6439903846153846\n",
- "Gaich 0.0\n",
- "Piccoli 1\n",
- "Shomurodov 0.36799450549450546\n",
+ "Sansone 0.6005969339302673\n",
+ "Quagliarella 0.7370962370962372\n",
+ "Defrel 0.4267399267399267\n",
+ "Pjaca 0.6887210012210012\n",
+ "Gaich 0.11019536019536019\n",
+ "Piccoli 0.3305860805860806\n",
+ "Piccoli 0.30394544405533425\n",
+ "Shomurodov 0.05903322867608582\n",
"Afena-Gyan 1\n",
"Ibrahimovic 0.0\n",
- "Pussetto 0.30666208791208793\n",
+ "Pussetto 0.29516614338042907\n",
"Cancellieri 1\n",
"Oddei 0.0\n",
- "Oddei 0.6723076923076924\n",
- "Braaf 0.42932692307692316\n",
+ "Oddei 0.6486446886446887\n",
+ "Braaf 0.41323260073260076\n",
"Raimondo 0.0\n",
"Kaio Jorge 0.0\n",
"Players with low quantity of games:\n",
"Gravillon 0.0\n",
"Masina 0.6666666666666667\n",
"Aiwu 0.0\n",
- "Thiaw 0.6666666666666667\n",
+ "Thiaw 0.8333333333333334\n",
"Zeefuik 0.0\n",
- "Wisniewski 0.0\n",
+ "Wisniewski 0.16666666666666663\n",
"Dermaku 0.16666666666666663\n",
"Donati 0.6666666666666667\n",
- "Adopo 0.8333333333333334\n",
"Antov 0.6666666666666667\n",
"Ostigard 0.6666666666666667\n",
- "Cacace 0.9943589743589744\n",
"Gila 0.6666666666666667\n",
"Bayeye 0.16666666666666663\n",
"Moutinho J. 0.6666666666666667\n",
@@ -2392,64 +2403,63 @@
"Cassandro 0.0\n",
"Amey 0.16666666666666663\n",
"Zanotti 0.0\n",
- "Ebosele 0.6666666666666667\n",
+ "Ebosele 0.8333333333333334\n",
"Buta 0.0\n",
"Abankwah 0.0\n",
"Guessand A. 0.0\n",
"Cabal 0.5\n",
- "Sosa 0.6666666666666667\n",
+ "Sosa 0.8333333333333334\n",
"Guarino 0.0\n",
"Carboni F. 0.6666666666666667\n",
"Pogba 0.0\n",
- "Duda 0.16666666666666663\n",
+ "Duda 0.33333333333333337\n",
"Wijnaldum 0.16666666666666663\n",
- "Nicolussi Caviglia 0.6666666666666667\n",
+ "Nicolussi Caviglia 0.8333333333333334\n",
"Volpato 0.8333333333333334\n",
"Machin 0.0\n",
- "Esposito Sa. 0.33333333333333337\n",
+ "Esposito Sa. 0.5\n",
"Akpa Akpro 0.0\n",
"Romero L. 0.8333333333333334\n",
"Bianco 0.5\n",
"Galdames 0.0\n",
"Tahirovic 0.8333333333333334\n",
- "Abildgaard 0.0\n",
- "Winks 0.5\n",
+ "Abildgaard 0.16666666666666663\n",
+ "Winks 0.6666666666666667\n",
"D'andrea 0.8333333333333334\n",
- "Iling-Junior 0.8333333333333334\n",
- "Cipot 0.16666666666666663\n",
- "Gaetano 0.5\n",
- "Darboe 0.6092307692307692\n",
- "Urbanski 0.16666666666666663\n",
- "Bertini 0.0\n",
- "Yepes 0.8333333333333334\n",
- "Pyyhtia 0.5\n",
- "Trimboli 0.0\n",
- "Pafundi 0.0\n",
- "Adli 0.6666666666666667\n",
- "Vignato S. 0.5\n",
- "Samek 0.0\n",
- "Zerbin 0.6666666666666667\n",
- "Ilkhan 0.6666666666666667\n",
- "Degli Innocenti 0.16666666666666663\n",
- "Acella 0.0\n"
+ "Cipot 0.33333333333333337\n",
+ "Gaetano 0.5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Darboe 0.6171184371184371\n",
+ "Urbanski 0.16666666666666663\n",
+ "Bertini 0.0\n",
+ "Yepes 0.8333333333333334\n",
+ "Pyyhtia 0.5\n",
+ "Trimboli 0.0\n",
+ "Pafundi 0.16666666666666663\n",
+ "Adli 0.6666666666666667\n",
+ "Vignato S. 0.5\n",
+ "Samek 0.0\n",
+ "Zerbin 0.6666666666666667\n",
+ "Ilkhan 0.6666666666666667\n",
+ "Degli Innocenti 0.16666666666666663\n",
+ "Acella 0.0\n",
"Carboni V. 0.33333333333333337\n",
- "Paoletti 0.5\n",
+ "Paoletti 0.6666666666666667\n",
"Malagrida 0.16666666666666663\n",
"Faticanti 0.0\n",
"Solbakken 0.33333333333333337\n",
- "Ngonge 0.16666666666666663\n",
- "Oddei 0.4971794871794871\n",
- "Braaf 0.452003205128205\n",
+ "Ngonge 0.33333333333333337\n",
+ "Oddei 0.5090109890109888\n",
+ "Braaf 0.4600503663003662\n",
"Raimondo 0.16666666666666663\n",
"De Luca 0.16666666666666663\n",
- "Voelkerling Persson 0.33333333333333337\n",
- "Krollis 0.0\n",
+ "Voelkerling Persson 0.5\n",
+ "Krollis 0.16666666666666663\n",
"Vivaldo 0.0\n"
]
}
@@ -2566,7 +2576,7 @@
},
{
"cell_type": "code",
- "execution_count": 63,
+ "execution_count": 12,
"id": "49c28b07",
"metadata": {},
"outputs": [
@@ -2581,10 +2591,10 @@
" 'gk_def_actions_outside_pen_area',\n",
" 'gk_def_actions_outside_pen_area_per90', 'gk_avg_distance_def_actions',\n",
" 'vote_avg', 'vote_std'],\n",
- " dtype='object', length=160)"
+ " dtype='object', length=151)"
]
},
- "execution_count": 63,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -2595,7 +2605,7 @@
},
{
"cell_type": "code",
- "execution_count": 64,
+ "execution_count": 13,
"id": "d29102e5",
"metadata": {},
"outputs": [
@@ -2621,123 +2631,110 @@
"15 - goals_per_shot\n",
"16 - goals_per_shot_on_target\n",
"17 - passes_pct\n",
- "18 - dribble_tackles_pct\n",
- "19 - dribbles_completed_pct\n",
- "20 - aerials_won_pct\n",
- "21 - team_possession\n",
- "22 - team_goals_assists_per90\n",
- "23 - team_goals_pens_per90\n",
- "24 - team_goals_assists_pens_per90\n",
- "25 - team_xg_per90\n",
- "26 - team_gk_goals_against_per90\n",
- "27 - team_gk_save_pct\n",
- "28 - team_gk_clean_sheets_pct\n",
- "29 - team_passes_pct\n",
- "30 - team_passes_pct_medium\n",
- "31 - team_passes_pct_long\n",
- "32 - team_sca_per90\n",
- "33 - team_gca_per90\n",
- "34 - team_dribble_tackles_pct\n",
- "35 - team_aerials_won_pct\n",
- "36 - vs_team_possession\n",
- "37 - vs_team_goals_per90\n",
- "38 - vs_team_assists_per90\n",
- "39 - vs_team_xg_per90\n",
- "40 - vs_team_gk_save_pct\n",
- "41 - vs_team_gk_clean_sheets_pct\n",
- "42 - vs_team_gk_pct_passes_launched\n",
- "43 - vs_team_gk_crosses_stopped_pct\n",
- "44 - vs_team_shots_on_target_per90\n",
- "45 - vs_team_passes_pct\n",
- "46 - vs_team_passes_pct_short\n",
- "47 - vs_team_passes_pct_medium\n",
- "48 - vs_team_passes_pct_long\n",
- "49 - vs_team_sca_per90\n",
- "50 - vs_team_gca_per90\n",
- "51 - vs_team_dribble_tackles_pct\n",
- "52 - vs_team_dribbles_completed_pct\n",
- "53 - vs_team_aerials_won_pct\n",
- "54 - opp_team_possession\n",
- "55 - opp_team_goals_assists_per90\n",
- "56 - opp_team_goals_pens_per90\n",
- "57 - opp_team_goals_assists_pens_per90\n",
- "58 - opp_team_xg_per90\n",
- "59 - opp_team_gk_goals_against_per90\n",
- "60 - opp_team_gk_save_pct\n",
- "61 - opp_team_gk_clean_sheets_pct\n",
- "62 - opp_team_passes_pct\n",
- "63 - opp_team_passes_pct_medium\n",
- "64 - opp_team_passes_pct_long\n",
- "65 - opp_team_sca_per90\n",
- "66 - opp_team_gca_per90\n",
- "67 - opp_team_dribble_tackles_pct\n",
- "68 - opp_team_aerials_won_pct\n",
- "69 - opp_vs_team_possession\n",
- "70 - opp_vs_team_goals_per90\n",
- "71 - opp_vs_team_assists_per90\n",
- "72 - opp_vs_team_xg_per90\n",
- "73 - opp_vs_team_gk_save_pct\n",
- "74 - opp_vs_team_gk_clean_sheets_pct\n",
- "75 - opp_vs_team_gk_pct_passes_launched\n",
- "76 - opp_vs_team_gk_crosses_stopped_pct\n",
- "77 - opp_vs_team_shots_on_target_per90\n",
- "78 - opp_vs_team_passes_pct\n",
- "79 - opp_vs_team_passes_pct_short\n",
- "80 - opp_vs_team_passes_pct_medium\n",
- "81 - opp_vs_team_passes_pct_long\n",
- "82 - opp_vs_team_sca_per90\n",
- "83 - opp_vs_team_gca_per90\n",
- "84 - opp_vs_team_dribble_tackles_pct\n",
- "85 - opp_vs_team_dribbles_completed_pct\n",
- "86 - opp_vs_team_aerials_won_pct\n",
- "87 - vote_avg\n",
- "88 - vote_std\n",
- "89 - goals.1\n",
- "90 - assists.1\n",
- "91 - cards_yellow\n",
- "92 - cards_red\n",
- "93 - xg\n",
- "94 - npxg\n",
- "95 - shots_on_target\n",
- "96 - passes_completed\n",
- "97 - passes_into_final_third\n",
- "98 - passes_into_penalty_area\n",
- "99 - progressive_passes\n",
- "100 - passes_live\n",
- "101 - passes_dead\n",
- "102 - through_balls\n",
- "103 - passes_switches\n",
- "104 - crosses\n",
- "105 - corner_kicks\n",
- "106 - dribble_tackles\n",
- "107 - dribbles_vs\n",
- "108 - dribbled_past\n",
- "109 - blocks\n",
- "110 - blocked_shots\n",
- "111 - blocked_passes\n",
- "112 - interceptions\n",
- "113 - clearances\n",
- "114 - errors\n",
- "115 - touches\n",
- "116 - touches_def_pen_area\n",
- "117 - touches_def_3rd\n",
- "118 - touches_mid_3rd\n",
- "119 - touches_att_3rd\n",
- "120 - touches_att_pen_area\n",
- "121 - touches_live_ball\n",
- "122 - dribbles_completed\n",
- "123 - dribbles\n",
- "124 - passes_received\n",
- "125 - miscontrols\n",
- "126 - dispossessed\n",
- "127 - fouls\n",
- "128 - fouled\n",
- "129 - aerials_won\n",
- "130 - aerials_lost\n",
- "131 - carries\n",
- "132 - progressive_carries\n",
- "133 - carries_into_final_third\n",
- "134 - carries_into_penalty_area\n"
+ "18 - aerials_won_pct\n",
+ "19 - team_possession\n",
+ "20 - team_goals_assists_per90\n",
+ "21 - team_goals_pens_per90\n",
+ "22 - team_goals_assists_pens_per90\n",
+ "23 - team_xg_per90\n",
+ "24 - team_gk_goals_against_per90\n",
+ "25 - team_gk_save_pct\n",
+ "26 - team_gk_clean_sheets_pct\n",
+ "27 - team_passes_pct\n",
+ "28 - team_passes_pct_medium\n",
+ "29 - team_passes_pct_long\n",
+ "30 - team_sca_per90\n",
+ "31 - team_gca_per90\n",
+ "32 - team_aerials_won_pct\n",
+ "33 - vs_team_possession\n",
+ "34 - vs_team_goals_per90\n",
+ "35 - vs_team_assists_per90\n",
+ "36 - vs_team_xg_per90\n",
+ "37 - vs_team_gk_save_pct\n",
+ "38 - vs_team_gk_clean_sheets_pct\n",
+ "39 - vs_team_gk_pct_passes_launched\n",
+ "40 - vs_team_gk_crosses_stopped_pct\n",
+ "41 - vs_team_shots_on_target_per90\n",
+ "42 - vs_team_passes_pct\n",
+ "43 - vs_team_passes_pct_short\n",
+ "44 - vs_team_passes_pct_medium\n",
+ "45 - vs_team_passes_pct_long\n",
+ "46 - vs_team_sca_per90\n",
+ "47 - vs_team_gca_per90\n",
+ "48 - vs_team_aerials_won_pct\n",
+ "49 - opp_team_possession\n",
+ "50 - opp_team_goals_assists_per90\n",
+ "51 - opp_team_goals_pens_per90\n",
+ "52 - opp_team_goals_assists_pens_per90\n",
+ "53 - opp_team_xg_per90\n",
+ "54 - opp_team_gk_goals_against_per90\n",
+ "55 - opp_team_gk_save_pct\n",
+ "56 - opp_team_gk_clean_sheets_pct\n",
+ "57 - opp_team_passes_pct\n",
+ "58 - opp_team_passes_pct_medium\n",
+ "59 - opp_team_passes_pct_long\n",
+ "60 - opp_team_sca_per90\n",
+ "61 - opp_team_gca_per90\n",
+ "62 - opp_team_aerials_won_pct\n",
+ "63 - opp_vs_team_possession\n",
+ "64 - opp_vs_team_goals_per90\n",
+ "65 - opp_vs_team_assists_per90\n",
+ "66 - opp_vs_team_xg_per90\n",
+ "67 - opp_vs_team_gk_save_pct\n",
+ "68 - opp_vs_team_gk_clean_sheets_pct\n",
+ "69 - opp_vs_team_gk_pct_passes_launched\n",
+ "70 - opp_vs_team_gk_crosses_stopped_pct\n",
+ "71 - opp_vs_team_shots_on_target_per90\n",
+ "72 - opp_vs_team_passes_pct\n",
+ "73 - opp_vs_team_passes_pct_short\n",
+ "74 - opp_vs_team_passes_pct_medium\n",
+ "75 - opp_vs_team_passes_pct_long\n",
+ "76 - opp_vs_team_sca_per90\n",
+ "77 - opp_vs_team_gca_per90\n",
+ "78 - opp_vs_team_aerials_won_pct\n",
+ "79 - vote_avg\n",
+ "80 - vote_std\n",
+ "81 - goals.1\n",
+ "82 - assists.1\n",
+ "83 - cards_yellow\n",
+ "84 - cards_red\n",
+ "85 - xg\n",
+ "86 - npxg\n",
+ "87 - shots_on_target\n",
+ "88 - passes_completed\n",
+ "89 - passes_into_final_third\n",
+ "90 - passes_into_penalty_area\n",
+ "91 - progressive_passes\n",
+ "92 - passes_live\n",
+ "93 - passes_dead\n",
+ "94 - through_balls\n",
+ "95 - passes_switches\n",
+ "96 - crosses\n",
+ "97 - corner_kicks\n",
+ "98 - blocks\n",
+ "99 - blocked_shots\n",
+ "100 - blocked_passes\n",
+ "101 - interceptions\n",
+ "102 - clearances\n",
+ "103 - errors\n",
+ "104 - touches\n",
+ "105 - touches_def_pen_area\n",
+ "106 - touches_def_3rd\n",
+ "107 - touches_mid_3rd\n",
+ "108 - touches_att_3rd\n",
+ "109 - touches_att_pen_area\n",
+ "110 - touches_live_ball\n",
+ "111 - passes_received\n",
+ "112 - miscontrols\n",
+ "113 - dispossessed\n",
+ "114 - fouls\n",
+ "115 - fouled\n",
+ "116 - aerials_won\n",
+ "117 - aerials_lost\n",
+ "118 - carries\n",
+ "119 - progressive_carries\n",
+ "120 - carries_into_final_third\n",
+ "121 - carries_into_penalty_area\n"
]
}
],
@@ -2760,7 +2757,7 @@
},
{
"cell_type": "code",
- "execution_count": 65,
+ "execution_count": 14,
"id": "f19304f6",
"metadata": {},
"outputs": [],
@@ -2800,7 +2797,7 @@
},
{
"cell_type": "code",
- "execution_count": 66,
+ "execution_count": 15,
"id": "370d41d2",
"metadata": {},
"outputs": [],
@@ -2816,7 +2813,7 @@
},
{
"cell_type": "code",
- "execution_count": 67,
+ "execution_count": 16,
"id": "a7b1fb52",
"metadata": {},
"outputs": [
@@ -2862,76 +2859,70 @@
"35 - team_passes_pct_long\n",
"36 - team_sca_per90\n",
"37 - team_gca_per90\n",
- "38 - team_dribble_tackles_pct\n",
- "39 - team_aerials_won_pct\n",
- "40 - vs_team_possession\n",
- "41 - vs_team_goals_per90\n",
- "42 - vs_team_assists_per90\n",
- "43 - vs_team_xg_per90\n",
- "44 - vs_team_gk_save_pct\n",
- "45 - vs_team_gk_clean_sheets_pct\n",
- "46 - vs_team_gk_pct_passes_launched\n",
- "47 - vs_team_gk_crosses_stopped_pct\n",
- "48 - vs_team_shots_on_target_per90\n",
- "49 - vs_team_passes_pct\n",
- "50 - vs_team_passes_pct_short\n",
- "51 - vs_team_passes_pct_medium\n",
- "52 - vs_team_passes_pct_long\n",
- "53 - vs_team_sca_per90\n",
- "54 - vs_team_gca_per90\n",
- "55 - vs_team_dribble_tackles_pct\n",
- "56 - vs_team_dribbles_completed_pct\n",
- "57 - vs_team_aerials_won_pct\n",
- "58 - opp_team_possession\n",
- "59 - opp_team_goals_assists_per90\n",
- "60 - opp_team_goals_pens_per90\n",
- "61 - opp_team_goals_assists_pens_per90\n",
- "62 - opp_team_xg_per90\n",
- "63 - opp_team_gk_goals_against_per90\n",
- "64 - opp_team_gk_save_pct\n",
- "65 - opp_team_gk_clean_sheets_pct\n",
- "66 - opp_team_passes_pct\n",
- "67 - opp_team_passes_pct_medium\n",
- "68 - opp_team_passes_pct_long\n",
- "69 - opp_team_sca_per90\n",
- "70 - opp_team_gca_per90\n",
- "71 - opp_team_dribble_tackles_pct\n",
- "72 - opp_team_aerials_won_pct\n",
- "73 - opp_vs_team_possession\n",
- "74 - opp_vs_team_goals_per90\n",
- "75 - opp_vs_team_assists_per90\n",
- "76 - opp_vs_team_xg_per90\n",
- "77 - opp_vs_team_gk_save_pct\n",
- "78 - opp_vs_team_gk_clean_sheets_pct\n",
- "79 - opp_vs_team_gk_pct_passes_launched\n",
- "80 - opp_vs_team_gk_crosses_stopped_pct\n",
- "81 - opp_vs_team_shots_on_target_per90\n",
- "82 - opp_vs_team_passes_pct\n",
- "83 - opp_vs_team_passes_pct_short\n",
- "84 - opp_vs_team_passes_pct_medium\n",
- "85 - opp_vs_team_passes_pct_long\n",
- "86 - opp_vs_team_sca_per90\n",
- "87 - opp_vs_team_gca_per90\n",
- "88 - opp_vs_team_dribble_tackles_pct\n",
- "89 - opp_vs_team_dribbles_completed_pct\n",
- "90 - opp_vs_team_aerials_won_pct\n",
- "91 - vote_avg\n",
- "92 - vote_std\n",
- "93 - gk_shots_on_target_against\n",
- "94 - gk_saves\n",
- "95 - gk_free_kick_goals_against\n",
- "96 - gk_corner_kick_goals_against\n",
- "97 - gk_own_goals_against\n",
- "98 - gk_psxg\n",
- "99 - gk_psnpxg_per_shot_on_target_against\n",
- "100 - gk_psxg_net\n",
- "101 - gk_passes_completed_launched\n",
- "102 - gk_passes_launched\n",
- "103 - gk_passes\n",
- "104 - gk_passes_throws\n",
- "105 - gk_goal_kicks\n",
- "106 - gk_crosses\n",
- "107 - gk_crosses_stopped\n"
+ "38 - team_aerials_won_pct\n",
+ "39 - vs_team_possession\n",
+ "40 - vs_team_goals_per90\n",
+ "41 - vs_team_assists_per90\n",
+ "42 - vs_team_xg_per90\n",
+ "43 - vs_team_gk_save_pct\n",
+ "44 - vs_team_gk_clean_sheets_pct\n",
+ "45 - vs_team_gk_pct_passes_launched\n",
+ "46 - vs_team_gk_crosses_stopped_pct\n",
+ "47 - vs_team_shots_on_target_per90\n",
+ "48 - vs_team_passes_pct\n",
+ "49 - vs_team_passes_pct_short\n",
+ "50 - vs_team_passes_pct_medium\n",
+ "51 - vs_team_passes_pct_long\n",
+ "52 - vs_team_sca_per90\n",
+ "53 - vs_team_gca_per90\n",
+ "54 - vs_team_aerials_won_pct\n",
+ "55 - opp_team_possession\n",
+ "56 - opp_team_goals_assists_per90\n",
+ "57 - opp_team_goals_pens_per90\n",
+ "58 - opp_team_goals_assists_pens_per90\n",
+ "59 - opp_team_xg_per90\n",
+ "60 - opp_team_gk_goals_against_per90\n",
+ "61 - opp_team_gk_save_pct\n",
+ "62 - opp_team_gk_clean_sheets_pct\n",
+ "63 - opp_team_passes_pct\n",
+ "64 - opp_team_passes_pct_medium\n",
+ "65 - opp_team_passes_pct_long\n",
+ "66 - opp_team_sca_per90\n",
+ "67 - opp_team_gca_per90\n",
+ "68 - opp_team_aerials_won_pct\n",
+ "69 - opp_vs_team_possession\n",
+ "70 - opp_vs_team_goals_per90\n",
+ "71 - opp_vs_team_assists_per90\n",
+ "72 - opp_vs_team_xg_per90\n",
+ "73 - opp_vs_team_gk_save_pct\n",
+ "74 - opp_vs_team_gk_clean_sheets_pct\n",
+ "75 - opp_vs_team_gk_pct_passes_launched\n",
+ "76 - opp_vs_team_gk_crosses_stopped_pct\n",
+ "77 - opp_vs_team_shots_on_target_per90\n",
+ "78 - opp_vs_team_passes_pct\n",
+ "79 - opp_vs_team_passes_pct_short\n",
+ "80 - opp_vs_team_passes_pct_medium\n",
+ "81 - opp_vs_team_passes_pct_long\n",
+ "82 - opp_vs_team_sca_per90\n",
+ "83 - opp_vs_team_gca_per90\n",
+ "84 - opp_vs_team_aerials_won_pct\n",
+ "85 - vote_avg\n",
+ "86 - vote_std\n",
+ "87 - gk_shots_on_target_against\n",
+ "88 - gk_saves\n",
+ "89 - gk_free_kick_goals_against\n",
+ "90 - gk_corner_kick_goals_against\n",
+ "91 - gk_own_goals_against\n",
+ "92 - gk_psxg\n",
+ "93 - gk_psnpxg_per_shot_on_target_against\n",
+ "94 - gk_psxg_net\n",
+ "95 - gk_passes_completed_launched\n",
+ "96 - gk_passes_launched\n",
+ "97 - gk_passes\n",
+ "98 - gk_passes_throws\n",
+ "99 - gk_goal_kicks\n",
+ "100 - gk_crosses\n",
+ "101 - gk_crosses_stopped\n"
]
}
],
@@ -2942,7 +2933,7 @@
},
{
"cell_type": "code",
- "execution_count": 68,
+ "execution_count": 17,
"id": "5a7cf079",
"metadata": {},
"outputs": [],
@@ -2966,7 +2957,7 @@
},
{
"cell_type": "code",
- "execution_count": 69,
+ "execution_count": 18,
"id": "0bc0568b",
"metadata": {},
"outputs": [],
@@ -3004,7 +2995,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -3022,7 +3013,7 @@
},
{
"data": {
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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -3076,43 +3067,10 @@
},
{
"cell_type": "code",
- "execution_count": 70,
+ "execution_count": 19,
"id": "8aad9652",
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1/1000\n",
- "76/76 [==============================] - 4s 10ms/step - loss: 2.1512 - distribution_lambda_5_loss: 0.8354 - distribution_lambda_6_loss: 1.3158 - val_loss: 2.1920 - val_distribution_lambda_5_loss: 0.8536 - val_distribution_lambda_6_loss: 1.3384\n",
- "Epoch 2/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1487 - distribution_lambda_5_loss: 0.8351 - distribution_lambda_6_loss: 1.3136 - val_loss: 2.2014 - val_distribution_lambda_5_loss: 0.8581 - val_distribution_lambda_6_loss: 1.3433\n",
- "Epoch 3/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1487 - distribution_lambda_5_loss: 0.8354 - distribution_lambda_6_loss: 1.3133 - val_loss: 2.1877 - val_distribution_lambda_5_loss: 0.8524 - val_distribution_lambda_6_loss: 1.3353\n",
- "Epoch 4/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1547 - distribution_lambda_5_loss: 0.8377 - distribution_lambda_6_loss: 1.3171 - val_loss: 2.1952 - val_distribution_lambda_5_loss: 0.8555 - val_distribution_lambda_6_loss: 1.3397\n",
- "Epoch 5/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1475 - distribution_lambda_5_loss: 0.8358 - distribution_lambda_6_loss: 1.3117 - val_loss: 2.1958 - val_distribution_lambda_5_loss: 0.8559 - val_distribution_lambda_6_loss: 1.3399\n",
- "Epoch 6/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1521 - distribution_lambda_5_loss: 0.8368 - distribution_lambda_6_loss: 1.3153 - val_loss: 2.1914 - val_distribution_lambda_5_loss: 0.8539 - val_distribution_lambda_6_loss: 1.3375\n",
- "Epoch 7/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1503 - distribution_lambda_5_loss: 0.8365 - distribution_lambda_6_loss: 1.3138 - val_loss: 2.1924 - val_distribution_lambda_5_loss: 0.8544 - val_distribution_lambda_6_loss: 1.3380\n",
- "Epoch 8/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1543 - distribution_lambda_5_loss: 0.8384 - distribution_lambda_6_loss: 1.3159 - val_loss: 2.1911 - val_distribution_lambda_5_loss: 0.8545 - val_distribution_lambda_6_loss: 1.3365\n",
- "Epoch 9/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1524 - distribution_lambda_5_loss: 0.8374 - distribution_lambda_6_loss: 1.3149 - val_loss: 2.1915 - val_distribution_lambda_5_loss: 0.8548 - val_distribution_lambda_6_loss: 1.3367\n",
- "Epoch 10/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1502 - distribution_lambda_5_loss: 0.8364 - distribution_lambda_6_loss: 1.3137 - val_loss: 2.1910 - val_distribution_lambda_5_loss: 0.8538 - val_distribution_lambda_6_loss: 1.3371\n",
- "Epoch 11/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1535 - distribution_lambda_5_loss: 0.8373 - distribution_lambda_6_loss: 1.3162 - val_loss: 2.1894 - val_distribution_lambda_5_loss: 0.8533 - val_distribution_lambda_6_loss: 1.3361\n",
- "Epoch 12/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1449 - distribution_lambda_5_loss: 0.8341 - distribution_lambda_6_loss: 1.3108 - val_loss: 2.1904 - val_distribution_lambda_5_loss: 0.8530 - val_distribution_lambda_6_loss: 1.3374\n",
- "Epoch 13/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1469 - distribution_lambda_5_loss: 0.8351 - distribution_lambda_6_loss: 1.3118 - val_loss: 2.1883 - val_distribution_lambda_5_loss: 0.8541 - val_distribution_lambda_6_loss: 1.3343\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"load_model_of = True# load scaler and model weights for outfield player predictor\n",
"refit_model_of = True\n",
@@ -3183,7 +3141,7 @@
},
{
"cell_type": "code",
- "execution_count": 71,
+ "execution_count": 55,
"id": "4e2bf9dc",
"metadata": {},
"outputs": [],
@@ -3203,7 +3161,7 @@
},
{
"cell_type": "code",
- "execution_count": 72,
+ "execution_count": 56,
"id": "c2674211",
"metadata": {},
"outputs": [
@@ -3211,13 +3169,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.14847417498922566\n",
- "0.1658922942362021\n"
+ "0.14539483185579238\n",
+ "0.16229047232752447\n"
]
},
{
"data": {
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+ "image/png": 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",
"text/plain": [
""
]
@@ -3229,13 +3187,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.12424751175425397\n",
- "0.1551721892675979\n"
+ "0.13160209075894191\n",
+ "0.16563346611529572\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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AxvQIw/yHuqGJJ5utxoqvPBERuZQLNwsx/bsUnMsuhLtahTce7IzH+0VApeJ8lcaMCQsREbmMTb9n4YUfjqFQV4EgXw0WT4lDfESgs8MiF8CEhYiInK5Cb8CHW9KwZNcFAEDvyEAsnBSLIF8vJ0dGroIJCxEROVVuoQ6zlh3Bvgu5AIA/DYjEy4md4OGmdnJk5EqYsBARkdMcvXIbTyelIDO/FE083fDe+O4YHRPm7LDIBTFhISKiu04QBCz77QreWncSZXoD2rXwwZKp8YgO9nV2aOSimLAQEdFdVVquxxtrfscPKVcBAAldgvHhIzHw9fJwcmTkypiwEBHRXXMlrxjTk1Jw8roWahXwYkInTB/cjkuWqUZMWIiI6K7YeTYbs5cfRX5JOQJ9PLHgsVjc26GFs8OieoIJCxEROZTBIGDhjvP497Y0CAIQ09ofi6bEo1Uzb2eHRvUIExYiInKY/JJyzFlxFL+cyQYATOrTBm+O7gyNu5uTI6P6hgkLERE5xOlMLaYnpeBybjE83dV4d2xXTOgZ7uywqJ5iwkJERHUu+chVzP3xBErLDWgd4I0lU+LRtZW/s8OieowJCxER1ZmyCgPe3XAK3+6/DAAYFN0Sn0zsgQAfTydHRvUdExYiIqoTWfmlmLE0BakZtwEAzw7tgNn3R8NNzSXLdOeYsBAR0R07cDEXz3yfipzCMvh6uePjiT0w7J5gZ4dFDQgTFiIiqjVBEPDV3nTM//kM9AYBnUJ8sWRKPNq28HF2aNTAMGEhIqJaKdRV4OVVx7HhRCYAYFxsK8wb1w3enlyyTHWPCQsREdntfHYhpiel4Hx2IdzVKvxtdGdM7RvBEvvkMGp7b7B7926MHj0aYWFhUKlUWLNmjeL6J554AiqVSvHVt2/fGs+7evVqdO7cGRqNBp07d0ZycrK9oRER0V2w6fdMjP3sV5zPLkSwnwYrnuqLx/u1ZbJCDmV3wlJUVISYmBgsXLjQ4jEjR45EZmam9LVx40ar59y/fz8mTpyIqVOn4tixY5g6dSomTJiAgwcP2hseERE5SIXegPk/n8b0pFQU6irQOzIQP80agPiIQGeHRo2AShAEodY3VqmQnJyMsWPHSpc98cQTuH37tknPizUTJ06EVqvFzz//LF02cuRIBAQEYNmyZTadQ6vVwt/fH/n5+fDz87P5vomIqGY5hTo8u+wI9l3IBQD8aUAkXk7sBA83uz/3EinY2n475C9t586dCAoKQnR0NP785z8jOzvb6vH79+/HiBEjFJclJCRg3759Fm+j0+mg1WoVX0REVPeOZNzC6AV7se9CLpp4umHhpFi8/mBnJit0V9X5X1tiYiKWLl2K7du346OPPsKhQ4cwdOhQ6HQ6i7fJyspCcLByvX5wcDCysrIs3mb+/Pnw9/eXvsLDuT8FEVFdEgQBSQcuY+LnB5CZX4p2LX2wdua9eLB7mLNDo0aozlcJTZw4Ufq5a9eu6NmzJyIiIrBhwwY89NBDFm9XfbKWIAhWJ3DNnTsXc+bMkX7XarVMWoiI6khpuR6vJf+O1alXAQAju4Tgg0e6w9fLw8mRUWPl8GXNoaGhiIiIwLlz5yweExISYtKbkp2dbdLrIqfRaKDRaOosTiIiEl3JK8ZT36XgVKYWahXw0shOeGpQO64CIqdy+ABkbm4urly5gtDQUIvH9OvXD1u3blVctmXLFvTv39/R4RERkcyOs9l4cMFenMrUItDHE0l/7IPpg9szWSGns7uHpbCwEOfPn5d+T09Px9GjRxEYGIjAwEC89dZbGD9+PEJDQ3Hp0iW8+uqraNGiBcaNGyfd5vHHH0erVq0wf/58AMDs2bMxaNAgvPfeexgzZgzWrl2Lbdu2Ye/evXXwEImIqCYGg4AF28/j41/SIAhATHgzLJ4ch7Bm3s4OjQhALRKWw4cPY8iQIdLvxnkk06ZNw+LFi3HixAl8++23uH37NkJDQzFkyBCsWLECvr6+0m0yMjKgVld17vTv3x/Lly/H66+/jjfeeAPt27fHihUr0KdPnzt5bEREZIP84nI8v/Iotp8RV3RO7tMGfxvdGRp3ltgn13FHdVhcCeuwEBHZ7+T1fDydlIqMvGJo3NV4d2xXPNKTCxjo7rG1/eZeQkREjdSPqVcx98cT0FUY0DrAG0umxKNrK39nh0VkFhMWIqJGpqzCgHfWn8J3By4DAAZHt8Qnj/ZAsyaeTo6MyDImLEREjUhWfimeXpqCIxm3AQCzh0Xh2WFRcFNzFRC5NiYsRESNxP4LuZi1LBU5hWXw83LHx4/2wNBOlutdEbkSJixERA2cIAj4cs9FvLfpLPQGAfeE+mHJlDhENPdxdmhENmPCQkTUgBXqKvDSqmPYeEKsJv5QbCv8Y1w3eHtyyTLVL0xYiIgaqPPZhXjqu8O4cLMIHm4q/O3BzpjSN4JVa6leYsJCRNQA/XwiEy/8cAxFZXoE+2mwaHI84iMCnB0WUa0xYSEiakAq9AZ8sPksPt99EQDQJzIQCyfFoaUvN4ul+o0JCxFRA5FTqMOs749g/8VcAMBfBrXDSwkd4e7m8H1uiRyOCQsRUQOQmnELM5JSkaUthY+nGz54JAajuoU6OyyiOsOEhYioHhMEAUkHM/D3n06iXC+gXUsffDE1Hh2CfGu+MVE9woSFiKieKi3X47Xk37E69SoAILFrCN5/uDt8vTycHBlR3WPCQkRUD2XkFmN6UgpOZWqhVgEvj+yEvwxqxyXL1GAxYSEiqmd2nMnGcyuOIr+kHM19PLFgUiz6t2/h7LCIHIoJCxFRPWEwCPjkl3P4dPs5CALQI7wZFk+JQ6i/t7NDI3I4JixERPXA7eIyPL/iKHacvQkAmNK3Dd54sDM07iyxT40DExYiIhd38no+piel4EpeCTTuavxjXDc8HN/a2WER3VVMWIiIXNjqlKt4NfkEdBUGhAd6Y8mUeHQJ83d2WER3HRMWIiIXpKvQ4531p5B0IAMAMKRjS3w8MRb+TbhkmRonJixERC4mM78ETyel4uiV21CpgNnDovDs0Cio1VyyTI0XExYiIhey70IOZn1/BLlFZfDzcscnj8ZiSKcgZ4dF5HRMWIiIXIAgCPhi90W8t+kMDAJwT6gfPp8SjzbNmzg7NCKXwISFiMjJCnUVePGHY/j59ywAwENxrfCPsd3g7ckly0RGTFiIiJzofHYBnvouBRduFsHDTYW/je6CKX3asMQ+UTVMWIiInGTD8Uy8tOoYisr0CPHzwqIpcYhrE+DssIhcEhMWIqK7rEJvwPubz+KL3RcBAH3bBWLhpDi0aKpxcmRErosJCxHRXXSzQIdZy1Jx4GIeAOCpQe3wYkJHuLupnRwZkWtjwkJEdJekZtzCjKRUZGlL4ePphg8eicGobqHODouoXmDCQkTkYIIgIOnAZfx9/SmU6wW0b+mDz6fGo0OQr7NDI6o3mLAQETlQSZker605gR9TrwEARnULwfsPx6Cphm+/RPawe9B09+7dGD16NMLCwqBSqbBmzRrpuvLycrz88svo1q0bfHx8EBYWhscffxzXr1+3es5vvvkGKpXK5Ku0tNTuB0RE5Cou5xbhocX78GPqNahVwKujOuGzSXFMVohqwe6EpaioCDExMVi4cKHJdcXFxUhNTcUbb7yB1NRU/Pjjj0hLS8Mf/vCHGs/r5+eHzMxMxZeXl5e94RERuYTtZ25g9IK9OJ2pRXMfTyT9qQ/+Mqg966sQ1ZLdaX5iYiISExPNXufv74+tW7cqLluwYAF69+6NjIwMtGnTxuJ5VSoVQkJC7A2HiMilGAwCPvnlHD755RwAILZNMyyaHIdQf28nR0ZUvzm8XzI/Px8qlQrNmjWzelxhYSEiIiKg1+vRo0cPvPPOO4iNjbV4vE6ng06nk37XarV1FTIRUa3cLi7DcyuOYufZmwCAqX0j8PqD90DjzhL7RHfKoQv/S0tL8corr2DSpEnw8/OzeFynTp3wzTffYN26dVi2bBm8vLxw77334ty5cxZvM3/+fPj7+0tf4eHhjngIREQ2+f1aPkYv3IudZ29C467GR4/E4J2xXZmsENURlSAIQq1vrFIhOTkZY8eONbmuvLwcjzzyCDIyMrBz506rCUt1BoMBcXFxGDRoED799FOzx5jrYQkPD0d+fr5d90VEdKdWpVzFa8knoKswoE1gEyyeEocuYf7ODouoXtBqtfD396+x/XbIkFB5eTkmTJiA9PR0bN++3e4EQq1Wo1evXlZ7WDQaDTQalrEmIufRVejx959OYenBDADAkI4t8fHEWPg38XByZEQNT50nLMZk5dy5c9ixYweaN29u9zkEQcDRo0fRrVu3ug6PiKhOZOaX4OmkVBy9chsqFTB7WBSeHRoFtZqrgIgcwe6EpbCwEOfPn5d+T09Px9GjRxEYGIiwsDA8/PDDSE1Nxfr166HX65GVlQUACAwMhKenJwDg8ccfR6tWrTB//nwAwNtvv42+ffsiKioKWq0Wn376KY4ePYrPPvusLh4jEVGd2nc+B7OWHUFuURn8vT3w8aM9MKRjkLPDImrQ7E5YDh8+jCFDhki/z5kzBwAwbdo0vPXWW1i3bh0AoEePHorb7dixA/fddx8AICMjA2p11Xzf27dv4y9/+QuysrLg7++P2NhY7N69G71797Y3PCIihxEEAZ/vvoj3N52BQQA6h/phyZR4tGnexNmhETV4dzTp1pXYOmmHiKg2CkrL8eIPx7HppNhrPD6uNf4xriu8PLgKiOhOOHXSLRFRQ3LuRgGeSkrBxZtF8HBT4c3RXTC5TxtWrSW6i5iwEBFZseF4Jl5cdQzFZXqE+Hlh8ZQ4xLYJcHZYRI0OExYiIjMq9Aa8t+kMvtyTDgDo1645FkyKRYumLKdA5AxMWIiIqrlZoMMz36fiYHoeAOCpwe3w4oiOcHdzaHFwIrKCCQsRkUzK5VuYsTQFN7Q6+Hi64cNHYpDYLdTZYRE1ekxYiIggLln+7sBlvLP+FMr1AjoENcWSKfHoENTU2aEREZiwEBGhpEyPV5NPIPnINQDAA91C8d7D3dFUw7dIIlfB/0YiatQu5xbhqe9ScCarAG5qFV4Z2Ql/GhjJJctELoYJCxE1Wr+cvoHnVhxFQWkFWjT1xILH4tCvvf37nxGR4zFhIaJGR28Q8Mkv5/DpL+KO8HFtmmHR5HiE+Hs5OTIisoQJCxE1KreLyzB7+VHsSrsJAHi8XwRef6AzPN25ZJnIlTFhIaJG4/dr+ZielIKrt0rg5aHGvHHd8FBca2eHRUQ2YMJCRI3CD4ev4PU1v0NXYUCbwCZYMiUencO4USpRfcGEhYgaNF2FHm//dArfH8wAAAztFIR/T+gB/yYeTo6MiOzBhIWIGqzrt0vw9NJUHLtyGyoV8Pz90XhmSAeo1VyyTFTfMGEhogbp1/M5mLXsCPKKyuDv7YFPHu2B+zoGOTssIqolJixE1KAIgoAluy7ig81nYBCALmF+WDIlHuGBTZwdGhHdASYsRNRgFJSW44UfjmHzyRsAgIfjW+PdsV3h5eHm5MiI6E4xYSGiBuHcjQI89V0KLuYUwdNNjTf/0BmTerdhiX2iBoIJCxHVe+uPX8dLq46juEyPUH8vLJ4Sjx7hzZwdFhHVISYsRFRvlesNeO/nM/jP3nQAQP/2zbHgsVg0b6pxcmREVNeYsBBRvZRdUIpnvj+C39LzAADTB7fHCyOi4e7GEvtEDRETFiKqd1Iu52HG0lTc0OrQVOOODx/pjpFdQ50dFhE5EBMWIqo3BEHAt/sv4531p1BhENAhqCmWTIlHh6Cmzg6NiByMCQsR1QslZXq8mnwCyUeuAQAe6B6K98d3h4+Gb2NEjQH/04nI5V3KKcL0pBScySqAm1qFuYmd8McBkVyyTNSIMGEhIpe27dQNPL/yKApKK9CiqScWTopD33bNnR0WEd1lTFiIyCXpDQI+3paGBdvPAwDi2jTDosnxCPH3cnJkROQMTFiIyOXcKirD7BVHsTvtJgBgWr8IvPZAZ3i6c8kyUWPFhIWIXMrv1/IxPSkFV2+VwMtDjfkPdcO42NbODouInIwJCxG5jJWHr+D1Nb+jrMKAiOZNsGRKPO4J9XN2WETkAuzuX929ezdGjx6NsLAwqFQqrFmzRnG9IAh46623EBYWBm9vb9x33304efJkjeddvXo1OnfuDI1Gg86dOyM5Odne0IiontJV6DH3xxN4adVxlFUYMKxTENY9M4DJChFJ7E5YioqKEBMTg4ULF5q9/v3338e//vUvLFy4EIcOHUJISAiGDx+OgoICi+fcv38/Jk6ciKlTp+LYsWOYOnUqJkyYgIMHD9obHhHVM9dul2DCkv1Y9lsGVCrgr8Oj8eXjPeHv7eHs0IjIhagEQRBqfWOVCsnJyRg7diwAsXclLCwMzz33HF5++WUAgE6nQ3BwMN577z089dRTZs8zceJEaLVa/Pzzz9JlI0eOREBAAJYtW2ZTLFqtFv7+/sjPz4efHz+VEdUHv57PwaxlR5BXVAZ/bw988mgP3NcxyNlhEdFdZGv7XadT7tPT05GVlYURI0ZIl2k0GgwePBj79u2zeLv9+/crbgMACQkJVm+j0+mg1WoVX0RUPwiCgEU7z2PqVweRV1SGrq38sH7WACYrRGRRnSYsWVlZAIDg4GDF5cHBwdJ1lm5n723mz58Pf39/6Ss8PPwOIieiu0VbWo7pSSl4f9NZGATgkfjWWDW9P8IDmzg7NCJyYQ4palC9XLYgCDWW0Lb3NnPnzkV+fr70deXKldoHTER3RdqNAoxd+Cs2n7wBTzdxyfL7D3eHl4ebs0MjIhdXp8uaQ0JCAIg9JqGhVVu9Z2dnm/SgVL9d9d6Umm6j0Wig0WjuMGIiult+OnYdL606jpJyPcL8vbBoSjx6hDdzdlhEVE/UaQ9LZGQkQkJCsHXrVumysrIy7Nq1C/3797d4u379+iluAwBbtmyxehsiqh/K9Qa8s/4UZi07gpJyPe7t0Bw/zRrAZIWI7GJ3D0thYSHOnz8v/Z6eno6jR48iMDAQbdq0wXPPPYd58+YhKioKUVFRmDdvHpo0aYJJkyZJt3n88cfRqlUrzJ8/HwAwe/ZsDBo0CO+99x7GjBmDtWvXYtu2bdi7d28dPEQicpbsglI8s/QIfruUBwB4+r72+OvwaLi7scQ+EdnH7oTl8OHDGDJkiPT7nDlzAADTpk3DN998g5deegklJSWYMWMGbt26hT59+mDLli3w9fWVbpORkQG1uuoNq3///li+fDlef/11vPHGG2jfvj1WrFiBPn363MljIyInOnwpDzOWpiK7QIemGnd8+EgMRnYNcXZYRFRP3VEdFlfCOixErkEQBPxv3yW8u+E0KgwCooKa4vOp8WjXsqmzQyMiF2Rr+829hIiozhSXVWDujyew9uh1AMCD3UPx3vju8NHwrYaI7gzfRYioTlzKKcL0pBScySqAm1qFV0fdgyfvbVtjSQMiIlswYSGiO7bt1A08v/IoCkor0KKpBp9NikWfds2dHRYRNSBMWIio1vQGAR9vS8OC7eLKwfiIACyaHIdgPy8nR0ZEDQ0TFiKqlVtFZXh2+RHsOZcDAHiif1u8OuoeeLpzyTIR1T0mLERktxNX8zE9KQXXbpfAy0ONfz7UHWNjWzk7LCJqwJiwEJFdVhzKwBtrT6KswoCI5k2wZEo87gllKQEiciwmLERkk9JyPd7+6SSW/SZuNHr/PUH4aEIP+Ht7ODmyhi8tLQ0XLlxAhw4dEBUV5exwiJyCCQsR1eja7RI8nZSC41fzoVIBfx0ejRn3dYBazSXLjpSXl4dJUyZh88+bpcsSEhOwbOkyBAQEODEyoruPCQsRWbX3XA5mLUvFreJyNGvigU8fjcWg6JbODqtRmDRlErbt3gY8BCACwGVg2+ZteGzyY9i0cZOzwyO6q5iwEJFZBoOAxbsu4KMtZ2EQgG6t/LFochzCA5s4O7RGIS0tTexZeQhA98oLuwN6QY/NyZtx7tw5Dg9Ro8KEhYhMaEvL8deVx7D11A0AwISerfH3MV3h5eHm5MgajwsXLog/RFS7oq347fz580xYqFFhwkJECmezCjA9KQXpOUXwdFPj7TFd8FjvNnV+P5xIal379u3FHy6jqocFAC6J3zp06HCXIyJyLlZ4IiLJumPXMfazX5GeU4Qwfy/8ML1fnScreXl5GDlqJDp27IhRo0YhOjoaI0eNxK1bt+r0fuq76OhoJCQmwG2zG3AMQD6AY4DbFjckJCYwybMgLS0NP//8M86dO+fsUKiOqQRBEJwdRF2wdXtqIjJVrjdg/sYz+O+v6QCAAR1a4NPHYhHo41nn9zVy1Ehs270N+gS9NJHUbbMb7h90PyeSVnPr1i08NvkxrhKyAVdU1V+2tt9MWIgauWxtKWZ+n4pDl8Qejhn3tcdfR3SEm2zJcl0N36SlpaFjx47iRNIwALcABAK4CiBZvJ49B6bOnTuH8+fPc/jMCibC9Zet7TfnsJDLc8RcB86fEB26lIcZS1Nxs0AHX407PpwQg4QuIdL19n5qrel5lSaSHgHwo+yKSPEbJ5KaFxUVxefFCq6oahw4h4VcliPmOtTmnA1xTFwQBHz9azoe++IAbhboEB3cFGufuVeRrADAIxMewZYdW8SG4HkADwFbdmzBwxMeVhxn6/Pavn17QAXgOhTnxHUAKk4kpdqxZUUV1X9MWMhlKYpmVTZs23aLRbPuxjkb6uTQ4rIKPLfiKN7+6RQqDAIe7B6K5Bn3ol3Lporj0tLSsP2X7RBGCeKnVn8A3QEhUcD2bdsVCZxdr5UA4AGIQ0LZAFoBGFV5OVEtqNWVTdnlaldcEr+5u3MwoSFgwkIuydjFq0/QKxpL/Qg9Nv+8uVa9Hfae0xEJU/V4bOm5qcsenvScIoz7bB/WHr0Od7UKf3uwMxY8Fgsfjekb+q5du8QfLHxqNV5vz/O6cuVK8YcjABYCWApgAYCj1a5vBBpiz52zGAwGsefuZyhWVGETABVQUVHhzPCojjBhIZfkiC5ee86paIRlPQE1JUy2NEK29tzUdQ/PlpNZ+MOCvTh7owAtfTX4/s998eSASKhUNewHZOFTq5E9z2t2drbYsGRCOSSUCUBVeX0DVx977lw9uWrfvr3YQ+cPIBnAvyu/+wEQONTYUDBhIZekKJold0n8Vps3IHvOqZgcaqYnoHrCZE8jZGvPTV318OgNAj7YfAZ/+S4FBboK9IwIwIZZA9A7MtDq7QYPHiwmFxuh/NT6MwBV5fWw73mNiYkRG5ZRUPTGIBGAAMTGxtr12OojR/fc1aX6klxJNWsK3IDhAMYCGA64FVqvWePqiRhVIzQQ+fn5AgAhPz/f2aFQHUlITBDcfNwEjIOA5yFgHAQ3HzchITHB4m3Onj0rbNy4UUhLSzN7HVQQ4AUB90PAWAgYXvm7CorbKI59qPL+HzJ/rCJW2bHmYj179qwAVJ7rGQiYDAGzxMcGVJ1Xcdxbsq9qx9Ukt1AnTPnPASHi5fVCxMvrhTfX/i6UVehtuq0gCMLQ+4cKcBfvU/pyhzD0/qHmH38Nr9XGjRvFczxf7XE9L55748aNNsd2p6z9rTjyPmvzujojVkGw/e/aFeTl5QkJiQmKv9WExAQhLy/P5Njc3FybjyXHs7X9Zg8LuaxlS5fh/kH3K7p47x90P5YtXWZyrC2fBHft2iW+NakBbAOwBsDWyt8F2ZwNI2NPgDfEnhYfSD0BcvbM4bC156YuhsSOX72N0Qv2Ys+5HHh7uOGTR3vgrT90gYeb7f/2q1auQsLwBMVlCcMTsGrlKsVlixYuQrMmzRSvVbMmzbD4s8WK465fvy7+YKE35saNGzbHZk5dDsk5gr2vqzNjdcQ8MkcKCAjApo2bkJaWho0bNyItLQ2bNm4yu/y+PvVyURUmLOSyHPIGpAJggHL+hKHychmpYdkEManYCeA7AJXlSOQNiz2NkDR8klHt2MrfjcMndzoktuJQBh5esh/XbpegbfMmSJ7ZH2N6tLJ6G3MEG+tK/ukvf0LurVzFZbm3cvGnv/xJcdlPP/1UNTlyL8RE7VdIkyPXrl1rd4yAY4bkHMHe19WZsdbXpcJRUVFITEy0OgxUnxIxqsKEhVxeXb0BqdVqq/Mn5EsfpXoheiiTGz1M6oUoGqEcAOcA5MJycqEC4FHtvB5QJE213UemtFyPV1Yfx8urT6CswoD77wnGulkD0CmkdtWfbWkw09LSsGP7DrEMpfwxuQPbf1Eufz5z5kxVJ7y8l8sgXnb27FmHxWmM1ZmNlT2vq7NjdcQ8MldQXxMxYsJCTlKXk91sfQO6du1a1XHnIPaaXKg6LiOjqtsjPT3dar2QS5cumQayFsphnnWmh0jDUqOqnbcyaZIPS9kzJAYAV28V45El+7H80BWoVMCLCR3xxdR4+Hl5mD2+JrY2mIrHZCYRlD8mlUolJmYCqiZHjjBeaXuPTm3iBFyjsbL1dXV2rA1188WGmog5mitMUGY1HbqrHLFBmeINqLvsikviN+MbUKtWlUMiiwGUyo7TiN/atKnalXjDhg3iDxZKyK9fvx7Dhw8HUNmwqCD+Nw2FONelGMAuAAYL5eYtnFfOOCRmyz4ye87dxLPLjuBWcTk0qMDTMV6YOeTO3ngVDWYOqvb9aStebHxcJ0+erDpOrvK4U6dOKS8XAARA7FkxCgZwAzUvsa4pTjP3L3/+FQXGzPyt3I0CY7a+rrb+XTvSsqXLxM0Xk6v+X+9PtJw0O1JdbadhTMS2bd4GvVYPNAVQBLjtc8P9iffX20TMUVxpU0kmLHRXKbruKzco27ZZ7Lq/ow3KVAA2QGwM20J8U98IxTDLiRMnxB/Kq922sqbUsWPHpIuCgoKU9UIqYzWeMygoSDpWGmqy0AjLG0FpqbCF8xqXCstZ63UwGAQs3nUBH24+CwGALvMcrq6Zh+e1N/Hus81x6OAhREaayYZsIDXuywBkVXtcqHpcBoNBvMBCw6rX66WLCgoKxMd/G2Yff2Fhod1x2tOwKwqMyf9WnFBgzKb9gWz4u66uLvfJqk2PV11zRIO5aOEi9O7bG7nbquZdNWtpOkmcHPieXQscEqI6U1OXoaPG5KUhiQooi0ZVQDEksWnTJqvzRzZvrnpDzM3NtTrMIZ/MKQ0l3awWWI747fLlan3PVs4rV9NEUm1pOZ5KSsEHlclKwfHNyFr6EvRaMZDcvFzE94q36Tk059ChQ+LzdQvK5+s2ABXw22+/AaisrWJsWOX1WiobVnltlaKiIquPvzYJS3R0NJq3bG72/pu3bK5otOtTgbELFy5Y/bu+GyuKXGE1jSNi+PNf/oy8gjzFOfMK8kwmiTd2zp5HVR0TFrpjtr5ROntMvqYk5ObNqoxjzZo1VmNNTk6WLrpx40ZVItQfQD8A90JKhORLdW0tdw/I3qhlcz2Mb9RnsrT4w4K92HrqBtzVQO6mT5G3YwEwplyRiN3Ku4WtW7eiNs6ePVs1j0f+fFXO40lLSwNQ2Wth7GGSN6zNxOPkvRY6nc7q4y8tLYW90tLSkHsz1+z9597MVbypSsnNLSgKjOG2aXJTW3U11p+amir+0LLaFS3Eb/IeQcD2jSpt5QqNlaO26LB1j6zGztnv2dXVecLStm1bqFQqk6+ZM2eaPX7nzp1mjz9z5kxdh0YOYusnoNpOdtu8eTP+/ve/W2x4pXLvHlBO5KxMGHJyxK6OmhrLsrIy6aKSkhKrsRYXF0sX5eTkVPWO7AOwH+JS3crVMMb7B2TJSw11SKQ3al+9OMy0BsAWQN9Ujz2XSjB24V5cyi1Gq2be6F+8H4XHtlhMxNavX4/a6Nixo/iDhecrOjpaebl3teOamJ6zpk3qpOursZYESG+qjwGYBWBy5fdJ4sXVt1yQkhvj87oVZpMbW+/fqK57OM6cOSP+XedD+XetBaBC1dwhOKYRdoXGyhEx2POhobFztQnKdT6H5dChQ4ox699//x3Dhw/HI488YvV2Z8+ehZ9f1dLLli2rf6wgV2RsWPEQquYPdAf0gh6bk8VPQMZPrYrJboJeGpN322J+stuFCxfQp18fsYGp1Lyl6byMX375RUwOmsHsHJKtW7filVdeqUpYLMx1kK4HEBISghvZN8RhDS2kiXnYA0AFhIaGSsdKczgszI2RrgcQHBxsdQ5FcHCw9NgVjZUPgGI3BKj+CL8ef0BphYCBUS3wyaOxWPTvfeLJLbwBy+fb2KNXr17iD5chrmgyTrq9Kl7cu3dvAPbNy/H29kZRcZF4nfzxV5b79/ZWZj22zF8wmcPSvPLAyg4Is1suWEiuqk+Qtmf+RF2P9Xfq1Klq+Kr633UJ0KVLF+kiWxphe3uPXGHSr0NjsHBOqmLve7aj1XnCUj3R+Oc//4n27dubnUwoFxQUhGbNmtV1OORg9qzQAOxbddC7b29xnFlqsIHcXbno2bunIokpLS2tatzlDWZlI2jsLREEoWpvHDONpTyx0Ol04jE6iPVCjCqX5MqHLqQkxAPAGCgbbIMyuRk8eLByDoV0EgAlVY379evXFY2Vm08AWox9BV6txUZqYPMifPN/o+CmVmHChAl44403LL4BT5gwweS5BWqenCk9H2sh1p8xchO/GYd6pCXgxh4eVH4XxMd46dIl6fyCIIiXl1d7/G4wmcMDiMMcO37doXhdt2wUhzl+2foLAPveVG0t3Gdy/7K/QeMwi/H+AfsSd6PNmzfj4MGD6Nevn7TiTC4uLs7q33VMTIzpE1aHjbArNFaOiEGxR5aZ94Ga2qrGxpVWijl0lVBZWRmSkpIwZ86cGpcrxsbGorS0FJ07d8brr7+OIUOGWD1ep9MpPhFrtdo6iZnsY+8nIFuXdG7evBl5OXlACEw+XebdyMPWrVulN/lbt26JbzyJMNtg3r59G4BsNU8olI1lJIB05XCENFFWDWVjXfm7vA7LqlWrrDbYK1euxCuvvFJ1DuMqGWMjKOu5MZI+Md8ENK27oMWYl+HeNBAGXRFy1v8L6v4d4aaeoDynjatJbO01UKvVVcu15YnYBgCGqlVC0hJwC0mrfAl4TXNU5NcbhzmqJwGCIGB78nZFEuCIN1Xp/qv9DQrBVcMsxvu3J3G3tedQ+nu18HdtdvWZhb+B2jbCrtBY1XUM0dHRGDpsKLbv3K58H3AHhg4bymXN1dhTXsHRHJqwrFmzBrdv38YTTzxh8ZjQ0FB88cUXiI+Ph06nw3fffYdhw4Zh586dGDRokMXbzZ8/H2+//bYDoiZ71PYTUE1LOjds2GBmSARSwy5vBAsKCsQbWWgsjMms1GMQC3FS7FUA4QAKAaQrl3CWlJRYra0izXEBquYHWLh/k8JlxpUf8kTMHdLKj6ioKPE2KsC31x8QMOhJqFTuKNNdws3l81Bx4zrOB7lJNzVZJWVU2WtRfTjA1qGLjIwM5aRbQNFgGpO6mmqbyBNBaZ5Q9d6Uyt/lH0IUwxxm6sDIH5ety2937dpV1Rsmf113AzAozykda6GHQ36sPYl7n359kKvNVZwzd0MuevXphZzsqvlO0uozC39X8tVnUi+XceKxUeWwqLyXyx6u0Fg5IoZVK1eJSZA8aR+e4JReg/rCpmX4DubQhOWrr75CYmIiwsLCLB7TsWPHqsl9APr164crV67gww8/tJqwzJ07F3PmzJF+12q1CA8Pr5vAyS6O+BSWn59vdfw+Pz9fuuiee+4Rq9hehjg34RqqEhFUjfVLjZqFIQ75kJB4A1isrSLn6ekpLte10Fh5eFRVmpV6LdwAdBMfC5oAOCnGZPzUfKugGC0efBE+ncVPxkVuO5HrvwBCPx2QrFxWLU3kHQOxam4equaaJCtXKdVm6MJSg2nUokWLqnk58vk+ewGoKq+vVFFRUZUwPABlr02ZhTooFurAyD084WHs2LVDcdnmrZtNhm5Onjxpdb6TfCLrjRs3qno45FWJR8LkebU1cd+8ebPYs1Lt+YcA5CbnKnoOFRO0zfxdye9f6uV6DOLyemMy3gLAv5UJfm24QmNVlzG4QiJG9nNYwnL58mVs27YNP/74Y80HV9O3b18kJSVZPUaj0UCj0dQ2PKpDjvjn9/f3t9rD4u/vLx07ePBgbNu2TVzxIc85Kj/YGxNfqbG0MMQhnyyuUqnEBMdCbRX5EKenp6fV7nj53+mhQ4fEY1QQq90aacTb/vbbb2jfox90g56Fj18IBKECtzy/QoFb5aaBba08aREQEzzjpFMz/922Vq8FZJV/LTSYERGyTEZA1f5A1R6TnJQ0Wui1EWQ3aNOmjbIOjPz1UlXdf1paGnb8skNKPOUxVR+6ycvLs9prkpeXJ93cOAHaUlVi6fpKtiTuBw8eFH+wkATu379fSixsnaANyCZWW0juajvx2qgui9G5EldIxMh2DktYvv76awQFBeGBBx6w+7ZHjhxRTFSk+qEu//ljYmKs9rDIi5EZh0/gAWAQlMM3ZcohGWtDHPLGsqYhBvn10rJmC0My8mXN0hJsAWYb4WM5ApYv/BWCXwgqCvOQc+uf0EXLSttfEr/JeyUlNky4lIYuLDRs8qGLjIwMq5MTjUMSKSkpyv2B5M+/qvL6SlIiaKHBlieCtg5J1bQMVT50U1BQYHVeiDS8CPurEhsT9y1btuDAgQNmJ9P26dNH/MHCa9WvXz/l/Rv/B6oP85Qo73/ChAl4429vWEzuLE28rokrlWUnckjCYjAY8PXXX2PatGkme3PMnTsX165dw7fffgsA+Pjjj9G2bVt06dJFmqS7evVqrF692hGhUT2RmZlp9ZOwtJEhgHXr1lkdvlm3rtouhDUMcUisrPyR9xxIPTMWhmTkwxzBwcEWGmE1muVOwW+aWEBXgXCvMuz/bDb05bfEybxtoei1GTNmjPKcVnp45J/EjYXTcm/lmjRsZgunCbA4Sdno8OHDVp//w4cPSxe5u7ujvLzcpuEzW/coUhTuM/NayYdOsrKyrJ4zMzNTebkAi5Opq7OlcU9ISBCf/w25Jq9V85bNFQlOdHQ0ht4/FDv27oDQX5B65lSpKgy5f4j518pCcldbrlSWncghCcu2bduQkZGBJ5980uS6zMxMxa64ZWVleOGFF3Dt2jV4e3ujS5cu2LBhA0aNGuWI0MhF1NTFLFVZtfBJ2FhlFaicVGsluZHPdwFg+9JPGxsrtVotzn+xMCTj5lY1ViElN7IGUy34oUWHF+EdLfYaPXlvJHD0R+wtvCX20pjptZEnbNIncQs9PPJP4lLhtIdgsgt1bnKuYvhEGhKKBfAglIlYerUhIePKJzM9EXLu7u4oryi32Gsjf65ycytX0VyG2Tow0vWAza+VNDRi4W8gJCREusjeJfu2Nu5bN29Fn359UJ5cVbjHQ+OBbVvk42miLz//UtzzZl/VYw1sGYj/fPEfxXH2xmqLWs13InIgh5TmHzFiBARBMK2ECeCbb77Bzp07pd9feuklnD9/HiUlJcjLy8OePXuYrDRgtlYDtafKqoeHhzK58a/8PhKAoPzULvVE7AVwFGJFWmubydnQG+Pl5SX+cLnaFZfEb/I5LNKO0ZcB5ACel6IQWvwxvNWxMJSVYnyYFn8b3RlffvF55YOrds7KJOjzzz+XLtqzZ4/4g4US7r/++qt0kdSwHQGwEMBSAAsgPhdQVg5VbBR4FUBQ5fdqGwVKBc4sVNq95557pHOWlJSIx5ZBWUa/TDxWvvpK+htYWy3Wyg4z49+A1INk4bWS9zDNmDHD6r5HM2bMkI61p8qnPSXk5742FwZ3g7hSrXIbB4O7Aa+8Klv6XulPf/mT2Bsmk3sr12TPG0dUJDWZ73QOQC6cVpadiHsJ0V1laxl/aczdwhuwfExeGna00GApEpbKbnVsQ1VZduPl5li4fzm9Xm+1EZRP5pWGHNYCTfckIKT5+3BXB6E87xqyvvsrAgsuAqgcujAmUfKNB1Xil3zoYu3atcraLmMhlnDPF4+V73vUvn175bwM43kzxWPlDZutGwUWFRWJN7Dw/MvnhUiqJ4hmEsZevXpVTZKWx+ouHq+otAtYfK3kPUwJCQlQu6mrCtcZH1M5oHZTmwzJJCQmwG2zm+J1ddvihoTEBEXvgq0l5BWJzXAACQCGm09s0tLSsGP7DrOPf/svynL76enpVfON5H+DlT1X8rpBtlLMd5InjN+LF7vSRpHUODBhobvGnk+h0dHRGDR4kNkkYNDgQea7oit7LaRPgpfEixUTaCsbfEUDoIb5HhYrSYicVBU3AGY3/5PXFjl8+DDg7oHAkbPQfOQsqNw9UFy4H5krnkd57mVxFREqh0as9FrIh06kY5tBse8Q/E2PNalKW+288oYtOjoaQ4YNkVZGSXKBofdXFdi6eFFMsiwlDOnp6crLjfNNzOyYLWcy6dYYa+Xmi8ZJt9HR0Rg4eKBNfytpaWkw6A3i/Y2AYt8pg95gsufOsqXLcP+g+xWv6/2DTJfs29rDYc/eOFJ9HQuvlXyy8cGDB5XzjYx/g6Hisfv374e9FBtFVtutu642iiSyh0PrsBDJ2TvOviZ5jckyUeMkRrmaSsgrEhYr82JMWJkXYtZjlccb53q4Q2w4ZHTuPgiZ9D40oVEQoMdt9yRoW6wChglActUqmYCAALGXxcJzJV+hIW05YGEOj7y+jD1VaYHKYZ/qj1eAOHG2UllZmdVJv/KEzXh7jIJyDk0iTF4DabKshVjlk2k9PDzE115+DnfA3UP5FiclAQ+gal5MOMSVTcmmRfZsWfkD2F6HpVZ749gwLCmtPrIw30i++shWivlOZmrGcA4L3W1MWOiuqW0Z///+97/YsWMHhg0bZrZqstRgWlglYtJg2tAASMbA7Mofs4yTQ6s9LqPdaTeRFvkQNG5e0Av5yNF8gFK3o4oYjFVhIyMjxYTFwnMlL+GenZ1tNRG7ebOqmExNk07l9TrS0tKwZ/cewBMmdWv27N4jNVienp5Wkzuz9ZKOwGxtEzlp7omFWI3Xp6WlYfu2yhL+1V6r6iX8pZVHFu7fuPLIyJ5lvbbUYVEkNlq9VGTPbZ9pZWh76uAkJCTAQ+OB8g3lJqvKPDQetSoa54iJvER3ggkL3TV3ultzUlISXnjpBZM9V6Q5IhZWicjnkACwuOrErAjUWIxNYqGHB1Bh4fZz+GhrGgQ3L+gy03CzdD70nWVV6S6J34xDQjUtVZbXKZJ6kCw0LPIeFmleiIXzGueFANV6I8w8r8beiJCQELG3w0JyZ1JTSQXgOszWC5H35kg1ayysKDLWt1E0rGZeK3nDKk0ktlBbpfrfij3Lem0toLho4SJx5c+2qsm0zVo2w+LPFiuOk+rgWCgcJy/Nn5aWhnJdubjvkTxpDAbKb5TXqjfEFXZrJpJjwkJ3lT1l/GPjY1GgVU7YzM3JRY/YHsi/nW96clt7TiwmFmZYeLO2lUrjgxYPzMGHW8Rl2MUntuLmlkWAR7k48bMtFI1QdnY2AIgr6eTzYowqa5vs2LFDuqhp06ZWY/Xz85MuMhgM4nmrL5duAkBQ1oyxtQ5K27ZtcezYMYsJg9RTYGQlCZI7c+YMrO3sbIzPnobVZG5QtfuXT9Cu7bLemgooznhmBm4X31YkQbc338bTM582rW0iwGLhODkpabMwLFmb3hBX2K2ZSI4JC91Vts4J2Lx5MwryC8TGqdpuydp8rWLPFYktyYVx1Um1IY7qxeCkYzdA/DRu/D0FJj0Blni0iEDLP7wGj8AweLqr8c6YLpj6r3FARbkYg7wRqixjb+wNkXYft9AAyWvLeHt7W+01kZZdQ9a4j4Q4b+MKqvZdSlY27oo6KGaeV+P10jYJFnquzFZEtSG57NSpk/hDSyir8rYAcKNqjyh7Glap6rAN82KcXdtE2prgNoD+qFrhlgrF1gSAmaTNmDQeE7/VtjfEFXZrJjJiwkJ1ZvPmzTh48KDFJASwfU7AokWLrO6qu2jRIuV9WGmwFcmFjZ/upWPLAMgXWFhKVqrNoWmSNxjNm8+C2sMLFfnZWPfaOHRv3Qx/9vISC6cJEFenNIGijL23t7fyvBYaILnAwMCqxsxMEiTffDA6OhpDhw3Fjo07ICQK4iTNS4DqZ9Pqqc2bN7c6JNG8uRiUlLBY6LmS9/CYPC6jS6aHxMXFVe0lZCz5XwTxb0BVuX1DJVsb1vvuu0/cp8zC/Q8bNky6yBFDIvYkQVJvWBmAfbJj1TDpDXNUbwg3CSRXwoSF7lj1uSaAuOyx+lwTwPY5AdJE0mYwW+5d/kkYgNXhExP2TLpVw6SHB3ozxxmHGbq5I6D8SfiF/AEAUJKeipyfPkT3xf8HQNYIWVilYpxDodFoUFJaYtOGitKGfVULd0SV7Zl8LyMAcFMBbhUCKmTPlZu7YDIy1qJFC6tDEsaERao0bKHnqrCwUHliK/NS5MmgWq2uSsTkfwOViZh824+a9n4y+uMf/4inZz4tTk6t9rx6aDwUk7odkQTYkwRJNXM8YHZn6+oJkyN7Q7hJILkCJix0x/r064NcrXJvmtwNuejVpxdysqsaS0V3uGxJq36EaXd4dHQ0Dhw8YHGprtnN/2xYVgzA9nkpVlYemetlcYsIRIuil+HlJg5V3NYvR/4P3wNC1aTX4uJi8QcLq1SM10vLiS0kYfJP1/I6K+bIr09LS8PWbduRNAPo3R44nwV0CAEOngemLlauqJESHQs7VhuHhHbv3m2150pe2RqA1XkpctKkUxWUQyJHYDLp1J7JsVs3b8WQYUMgJFfdocpNhW3bTUvj13USYHcSZEePIHtDqKFjwkJ3ZPPmzVZrNcjnmijKwptprOXd4QEBAVaX6jZr1sw0GBuGT2weOgLs2vhO07oLWupfgZtnAAy6IuSs/wglBb+ZnFOqmWJhlYqxp0BKSCwkYfLVLAUFBVZ7OKT5MKh6DQZ1AracAHaeAoZ1AYZ1Fa+Xvwa5ublWz2tMWIwThS31XEnX14axh0c+JFJt0qm9k2PfePMNCO4CMAzSkJywS8Abf3sDu3buUty9I5IAW5Og2s6hYW8INVRMWOiOHDx4UPzBwpvq/v37pYTFpCx8tcZa3sUtLcW1cF75Ul0ANg8z2F0MrobhI0EQ4NtzDAKGPAmV2g1luku4qZqHiu7XzS7VlWKoIRGShjgsJGHyx//7779b/SQurfZB1ZBEuzmAMSdK+hUwjq7IX4PmzZtbPW9gYCCAyjo48liNLonfTOrg2Gjw4MHKLQeMc1j2AFBVldy3p2FPS0vDnl17lMkNxHPvTt5d65U/9rB1+Or69eviDxaeV5NhUaIGjgkL3RGpwqaFN1WTCps29lrUVDTMpLaHjcMMAOwvBmdh+KhIV4GXVx9H4LA/i79rdyI3aAEElc76ZF7Atnk0NvYGSRtHWjinNMdFdt4KNwB/gJQ0VmyAydwc4yocS+c1Xu/t7S1OJLYQq3wisUajERMYC6+BfG6OcYLw9p3blXNY3IGhw6q2BrBnXsjKlSutPqaVK1fitddegyPZOnx17do1q5Oe5bveEzUG3EuI7khCQoK434iZfVyat2yuWMljzz4qO3bssLqXzy+//FL7oCMg9lhEVX5va+E4K/fvHhCGcYt+xfrjmRD0FcjbugQ5Xh+KyUq1x2XW5Wq/XzJzjHHORjKq9oYxXi4Ps7Kcv6VzStejcvWVvNfEH4r9eRYtWiQda+umgmFhYcqeK2OsFeI5pR2q5Sy8BvJYAWDVylVIGJ6guCxheAJWrVwl/R4dHQ0PjYfZ18pD46HoGZGGpyw8pjsavrKBPftp9enTRznp2fi8+gEQaldun6g+Yw8L1aim5cpbN29Fn359UJ5ctUzFQ+OBbVuUkxiNZectfRKWr/r47bffrE46/e2330wDtbXnxNZJtxaGj7w79EWLB+Yg7UYhgnw1OL74ReiunRYbXVsn89oyfGWccCpf/rzH9DhPT0/oynQWzynvtZAmwFpIGk0myFqLtZI0NGFu6AuVO09XkoaHLLwGpaWlilPYModk8+bNYpVXL5gs6y7XlSvmUT3wwANYsHCBxcf04IMPwpHsGb4yfhjIvZVrsqy7+ocBosaACQtZZOty5bmvzYXB3QB0hjgZsglgOGvAK6++oujilsqiW+jilq98KSmpnFX5GMRVKlchLv9tAeDfstU2chFQLu1ta+ZB2TPpFlAWLVOp0WzEVPh3fwQA0LttIBZOjkXw66ftn8yrhtlKsybHJcLs8mc5aam0hSExk60JAIsJg3x+hVSa37gDsFEkgPSq0vzSpF8Ly28LCpTVim1O2GSszSE5ePCg1eROPo8qISEBAYEBuHX7lslzFRAY4PAkwN7aLocOHkKvPr2Qu9X0f5CosWHCQhbZslxZWqERAnH1TyV9cFUXt2KugbyL26hy1Yf8zVpqOJdBWeU0uNr1chaOVbBn0q0KUtEytZ8fWgS/BG/fHgAA7aE1WPqPz+Hhpq46r611YFQQl0bLG9fKYmgmcRxBjZsEBgQEoKioSDynXOXvxsmxgFg47djxYxYThiFDhkjHSpN1q5WBR7Hy+qZNm+L27dsWJ+dKWwcY2TPfqFJaWhouXLhgtoelVatWVpO76lsDpBxKEZMAeSIeeHeSAHuXNUdGRiInOwdbt27F/v37rRZlJGromLCQWbYuV75w4YLY0FqolyLv4v7hhx+srvpYvXo1XnnlFQCVvQLGhMHMJnkmvQay5EKqirsL5pMAW4eOKpMQz9+j0XLsK3D3DYKhvBS5P3+K4tO74eH2pfJ4W+vAVJ94DJjtObG2okr+mFq0aIGrV69aLHInr3Q7Y8YMfPLJJxYThhkzZkgXST1iFl4D40qle+65B/v3769xci4g1oTR6/UWX4PqNWVsqYwcFla5RbaF5E6awG282MlJQG1quwwfPpyJCjV6TFjILFuXK0vVSI2fbiuLwWEkgGTlvJSVK1dWDTHIV31UDjEsX75cSlgA2F9GPwBmq+KaiIBtOzCrgKatExA4ZDpUag+Ul13DzZX/QPl1C6szbKkDI49Brq2ZY6onNhYef35+vtUid/J9h6Kjo3Fv/77Yd+CAcrqMAPTv31fxCT8mJsbqaxAbGwsAaNmypXidhWEOY0VcQJxvU1JSYvE18PT0VDw2W1bU2LNcXs5ZSQALvBHVDhMWMsvW5crS0koLn27l1Uileh2ZULpe7Xo5Wxp2wGovj0kPiw2TblXunggcPh1Nu48AABSr9yPH798QehebT5iszM0xO9Rh68RfGx5/eXm51eSmvFxZs/+n9RsxZfJj2CjrtUhMSEBStU/4Us+FhRiMPRcBAQFW56XIe3gkl2F2o0T5KiG7CsLZmNy5EhZ4I7IPExYyKyEhAR4aD4t7rphsPGhp6EJGSkgs7HljtsCYPSt6LFTFVbBhcuyVvGIET34fmpAOEAQ9bnt8C637avGYtlbu38LcHBP2TNC14fFLCYmFxKJ6IhgQEIANNnzCt3WCqF6vtzovRX7/Hh4eYg/LWpjdKFHeI2frihpH7KpMRK6HCQuZlZaWJi4VDYFJI1x+o1z6dCsNCVn4dCtvgMrKyqwOXVTvCZA+tWsBNIVivovZXgtbh1nKqj0m2fl2pd3E7OVHoAnpAH1xPnLy3kdplGxs55KZcxrPIZ9DI9tV2Ozqn+qNu1p5nI+PD4qKiywmNj5NfKRjQ0NDxaXFFhILqaekehi2VFy1llxVMtuDIiOfQxIZGSlO+rXwNyBffWZrwuSIXZWJyPWwcByZJX1q9a52RRPxm7HI27FjlY25hWThyJEj0kWFhYXK5Ma/8nsiAMHMrr7G5GIbgDUQ56eUwfJqEgvFwEyMg9hYdqv8PhYAVPDvNxFPfP0bbheXQ3c9DZn/ew6lq46ZLRxnQj6HxhhrMwuxGpO2EZX3PaLyd9l5o6KirBZji46Olo4dP3681SJ348ePV9x9Xl4eRo4aiY4dO2LUqFGIjo7GyFEjqyrmVpKWNRtXPxljqHxcu3btAiCbAD0GwCwAkyu/ixtWKxLRHj16WP0biI+Pl441rqhx2+ymeFxuW9yQkJig2CjTluOIqH5jDwuZdf36datDPcZiYTUVg5Ouh2wTvgiIO/4a5y+0FS+WTw4FYLW2h0kiYGUOhcmxxgmfsZU3zfdBi/F/RZMOvSEIwGO92+CfE8YB+nJxqMLMMIdZFpI7E9UnsgImq4SkYm8WVtPIi8H16tXL6rLq3r17K+7enp2NAdS4+kl6jS1MpJWv/JG2CbCQ4Eo7RFeydUVNXe+qTESuhwkLmXXs2LGqT8Ly1T+JAJLFnpMnnnhCPNiGYQNAtmGfhXopJhsaWlmhYkKAxQJnJmTJlYehLVriVXh0CINQUYYPJvbEhF7h+Ke+sldAXjgOEAvXWaqtYsMSZEkNw1cdO3YUV2pZSAI6deokHSs9bxYSC3lBPnsmsipK85tZ/WS8Xlq2bCFp7dy5s3RRu3btrB4rXV/J1hU1XHlD1PAxYSGzgoKCxB8srP4xXn/p0iWrn+4vXbqkPLGVuh61npdiFAvgQSh7I6onLLLkyqfdfQhUPwO1pxcq8m/gZvI8TPjwvPLYfCjnpey1EKuNq1R8fHzEIm8WGmwfH3FuyoABA/Dtt99aPO7ee++VLjLp5aqWWNRmIisgDrUEtghE3oY8k2Q0sEWgMrGxkrRKiQ8q68B8+onF3jB5HRg5W1fUcOUNUcPFhIXMmjBhAt742xsWew0mTJigvIGFT/cmEzvt6TUBbF8lZBwSSoT1ISEBQHN3BBT8EX7uowEAJddSkLPqQxhKq5WQN678qV7bxdzKH8Cm5Kp79+7Yf2C/xca9R48eAGRJgIWGXZ4E2LPlgT0TVNPS0pCXk2d24nXejTypNyY6OhoDBg7A3r17TSYSDxw0UJFAREdHo1+/fth/cL/JUFu/fv2YbBCRRUxYyDIbeg169uyJtWvXWvx036tXL+nYkJAQcSM8Cw17SEiI8nJ75qXYOCTk5huIFsNegVeYOExxO3MZ8lctA3TV69rD5pU/7u7uYlJgIQmQ93BYXAJcuUrImFxER0dj6LCh2L5zu/I4d2DosKGKht2eLQ/sKQ0v9cZYSEblvTGenp5QeaogDBKk7QZUu1Xw8PAweVo3rN8gzjeRV68dkcD5JkRkFVcJkVm2DB0AlT0txsRCvkKlMrGQ98SMGCEWYbO0michIUG6yMfHR9mwG1eolAMQzOxPA4hDQvJVKj2UV2vCuyL08U/gFdYZhtJCZK/6O/K/XQqUGcwPRwkQJ9nKV/6YmXTboUOHqh4O+XNQ2cMhTxikuSfKgq7i5GIo56asWrkKCcMTFIclDE/AqpWrFJdJq2QK3MTkaiyA4YBboflVMsuWLsP9g+5XPK/3DzKdoKrojWkOIKry+yXZ44bYE7N923YIowSgP8TnvT8gJArYvm07zp07pzivcb5JWloaNm7ciLS0NGzauEkqtU9EZA4TFjJL0VjJXRK/GRur6OhoDBw00GxiUX04YMCAAVYb9gEDBkjHPvzww+IP1T+gV3ZWyBMhHx+fqqTpKoCgyu+VSZOPjw/+s+ciQh79B9yaBqAsJx2Zvz6PEt1vwD0QkweVuCeOkbd35ZKfkQCmAriv8ntCtetRuQpH3sNhfA78AAiyqsEAXnvttaoemv4A+lV+hxjDa6+9Jh1rT8MuJSGy5MpcEmLPeW1dLmxrcltdVFQUEhMTOQxERLYRGoj8/HwBgJCfn+/sUBqMhMQEwc3HTcA4CHgeAsZBcPNxExISExTH5eXlCQmJCQLEZlgAICQkJgh5eXmK4zZt2iReHwLFsQgWv2/ZskVxPFQQoIGA/hDQr/K7BgJUyj/bYcOGieeJrHbeSAgqDy+hy5//JUS8vF6IeHm90PzBvwqqDhqT4wAIkZGR0jnfeeedqvuXPX7j/b/77rvSsV988YV4rDcEDIeAsZXfvcVjv/zyS0W8PXv3FI+Xx6CC0LN3zzt6vQRBENLS0oSNGzcKaWlpd3wuQbDttT179qx43UMQ8Jbsa5x4fF3FQkQNk63td50nLG+++abyjRgQgoODrd5m586dQlxcnKDRaITIyEhh8eLFdt8vE5a6Z2siYlRTY7lx40axofaq1rB7iQ32xo0bFccvX77cbMO+fPlyxXH/+c9/qhrMWRAwWfzuPqGVEPrHz4SIl9cL7eduEO594lWzxxkb1nHjxknnlBphdbX7V5s2wtKxFhKx6s+Hvc+rK6jptbU1uSUiqs6pCUuXLl2EzMxM6Ss7O9vi8RcvXhSaNGkizJ49Wzh16pTw5ZdfCh4eHsKqVavsul8mLI5TV5/a7W3YjZ588kmhbdu2wpNPPmn2eikRkvWGeE/tJ4Q/t1KIeHm90P2N9cLhS7liD4+VXpPqPTwDBw8U4FYtVjcIAwcPNIlh6P1DBZWXSpGIqbxUwtD7h1p8Puq6N8SZ6mMSRkSuwakJS0xMjM3Hv/TSS0KnTp0Ulz311FNC37597bpfJiz1g/RJXNaw3+kncSkR8oIAlVpoNniaNAQU/Nh84cDRU4IgVCY2lb001XttANMeHnsaYTbYooaUhBHR3WFr++2QZc3nzp1DWFgYNBoN+vTpg3nz5plUsDTav39/1eqRSgkJCfjqq69QXl5udlkkIO7sK9/dVyr7Ti5NKqH+c92VUDdODt3+228ImPYCvJvFAAAKjqxBT7dr6BPzCgDZROJgKKvXBgG4YbpJnj3VU1lpVcTCbUTkKHWesPTp0wfffvstoqOjcePGDbz77rvo378/Tp48iebNm5scn5WVpdjNFRB3d62oqEBOTg5CQ0PN3s/8+fPx9ttv13X45GCOathf++ALnP9qHyo8fWEoK0Huz59gYKSPIhGSapDs3gb9cL1UW8Vtn2kNEjl7GmE22EREjqESBFv2mK+9oqIitG/fHi+99BLmzJljcn10dDT+7//+D3PnzpUu+/XXXzFgwABkZmaaFhOrZK6HJTw8HPn5+fDz86v7B0IuSRAEfP9bBt5edwplegNa+3vgyagKDIwxnzjcunXLtGhZoli0jHVAiIjuPq1WC39//xrbb4dXuvXx8UG3bt1MikcZSdVPZbKzs+Hu7m62R8ZIo9Eodqylxqe0XI/X1/yOVSlXAQAJXYLx4SMx8PUyP4wIcOiGiKi+cnjCotPpcPr0aQwcONDs9f369cNPP/2kuGzLli3o2bOnxfkrRFfyijE9KQUnr2uhVgEvJnTC9MHtoFKpar4xOHRDRFTf1Hml2xdeeAG7du1Ceno6Dh48iIcffhharRbTpk0DAMydOxePP/64dPz06dNx+fJlzJkzB6dPn8Z///tffPXVV3jhhRfqOjRqIHaezcaDC/bi5HUtAn088d0f++Dp+9rbnKwQEVH9U+c9LFevXsVjjz2GnJwctGzZEn379sWBAwcQESHW7c7MzERGRoZ0fGRkJDZu3Ijnn38en332GcLCwvDpp59i/PjxdR0a1XMGg4CFO87j39vSIAhATHgzLJ4ch7Bm3jXfmIiI6jWHT7q9W2ydtEP1U35xOZ5feRTbz2QDACb1aYM3R3eGxt3NyZEREdGdcJlJt0R36tR1LaYnpSAjrxie7mq8O7YrJvQMd3ZYRER0FzFhIZeWfOQq5v54AqXlBrQO8MaSKfHo2srf2WEREdFdxoSFXFJZhQHvbjiFb/dfBgAMim6JTyb2QICPp5MjIyIiZ2DCQi4nK78UM5amIDXjNgDg2aEdMPv+aLipuQqIiKixYsJCLuXAxVw8830qcgrL4Ovljo8n9sCwe4JrviERETVoTFjIJQiCgP/sScc/N52B3iCgU4gvPp8aj4jmPs4OjYiIXAATFnK6Ql0FXl51HBtOZAIAxsW2wrxx3eDtySXLREQkYsJCTnU+uxDTk1JwPrsQ7moV/ja6M6b2jWDVWiIiUmDCQk6z6fdMvPDDcRTqKhDsp8GiyXGIjwh0dlhEROSCmLDQXVehN+CDLWfx+a6LAIA+kYFYMCkWQb5eTo6MiIhcFRMWuqtyCnWY9f0R7L+YCwD488BIvDyyE9zd6nwfTiIiakCYsNBdcyTjFmYsTUVmfimaeLrhg4dj8ED3UGeHRURE9QATFnI4QRCw9GAG3v7pJMr1Atq19MHnU+IRFezr7NCIiKieYMJCDlVarsdryb9jdepVAMDILiH44JHu8PXycHJkRERUnzBhIYe5kleMp75LwalMLdQq4OWRnfCXQe24ZJmIiOzGhIUcYsfZbDy3/CjyS8rR3McTCx6LRf8OLZwdFhER1VNMWKhOGQwCPt1+Dp/8cg6CAMSEN8PiyXEIa+bt7NCIiKgeY8JCdSa/uBzPrTiCHWdvAgAm92mDv43uDI07S+wTEdGdYcJCdeLk9Xw8nZSKjLxiaNzVeHdsVzzSM9zZYRERUQPBhIXu2I+pVzH3xxPQVRgQHuiNxZPj0bWVv7PDIiKiBoQJC9VaWYUB76w/he8OXAYA3NexJT6e2APNmng6OTIiImpomLBQrWTml2DG0lQcybgNAJg9LAqzh0VBreaSZSIiqntMWMhu+y/kYtayVOQUlsHPyx0fP9oDQzsFOzssIiJqwJiwkM0EQcCXey7ivU1noTcIuCfUD0umxCGiuY+zQyMiogaOCQvZpFBXgZdWHcPGE1kAgIdiW+Ef47rB25NLlomIyPGYsFCNzmcX4qnvDuPCzSJ4uKnwtwc7Y0rfCJbYJyKiu4YJC1n184lMvPDDMRSV6RHsp8GiyfGIjwhwdlhERNTIMGEhsyr0Bnyw+Sw+330RANC3XSAWPBaHlr4aJ0dGRESNERMWMpFTqMMz36fiwMU8AMBfBrXDSwkd4e6mdnJkRETUWDFhIYXUjFuYkZSKLG0pfDzd8MEjMRjVLdTZYRERUSPHhIUAiEuWkw5m4O8/nUS5XkD7lj74fGo8OgT5Ojs0IiIi1Hkf//z589GrVy/4+voiKCgIY8eOxdmzZ63eZufOnVCpVCZfZ86cqevwyIySMj3++sMxvLHmd5TrBSR2DcHaZwYwWSEiIpdR5z0su3btwsyZM9GrVy9UVFTgtddew4gRI3Dq1Cn4+FgvMHb27Fn4+flJv7ds2bKuw6NqMnKL8VRSCk5naqFWAa8kdsKfB7bjkmUiInIpdZ6wbNq0SfH7119/jaCgIKSkpGDQoEFWbxsUFIRmzZrVdUhkwY4z2Zi9/Ai0pRVo7uOJBZNi0b99C2eHRUREZMLhyz7y8/MBAIGBgTUeGxsbi9DQUAwbNgw7duyweqxOp4NWq1V8kW0MBgH/3pqGJ/93CNrSCvQIb4b1zw5gskJERC7LoQmLIAiYM2cOBgwYgK5du1o8LjQ0FF988QVWr16NH3/8ER07dsSwYcOwe/dui7eZP38+/P39pa/w8HBHPIQG53ZxGf74v0P45JdzEARgat8IrHiqL0L9vZ0dGhERkUUqQRAER5185syZ2LBhA/bu3YvWrVvbddvRo0dDpVJh3bp1Zq/X6XTQ6XTS71qtFuHh4cjPz1fMg6Eqv1/Lx9NLU3AlrwQadzXmjeuG8fH2vS5ERER1SavVwt/fv8b222HLmmfNmoV169Zh9+7ddicrANC3b18kJSVZvF6j0UCjYdVVW61KuYrXkk9AV2FAeKA3lkyJR5cwf2eHRUREZJM6T1gEQcCsWbOQnJyMnTt3IjIyslbnOXLkCEJDWbDsTukq9Hhn/SkkHcgAAAzp2BIfT4yFfxMPJ0dGRERkuzpPWGbOnInvv/8ea9euha+vL7KysgAA/v7+8PYW50nMnTsX165dw7fffgsA+Pjjj9G2bVt06dIFZWVlSEpKwurVq7F69eq6Dq9RycwvwdNJqTh65TZUKmD2sCg8OzQKajWXLBMRUf1S5wnL4sWLAQD33Xef4vKvv/4aTzzxBAAgMzMTGRkZ0nVlZWV44YUXcO3aNXh7e6NLly7YsGEDRo0aVdfhNRr7LuRg1vdHkFtUBj8vd3zyaCyGdApydlhERES14tBJt3eTrZN2GjpBEPDF7ot4b9MZGATgnlA/fD4lHm2aN3F2aERERCacPumW7r5CXQVe/OEYfv5dHIZ7KK4V/jG2G7w93ZwcGRER0Z1hwtJAnM8uwFPfpeDCzSJ4uKnwt9FdMKVPG5bYJyKiBoEJSwOw4XgmXlp1DEVleoT4eWHRlDjEtQlwdlhERER1hglLPVahN+D9zWfxxe6LAIC+7QKxcFIcWjRlfRoiImpYmLDUUzcLdJi1LBUHLuYBAJ4a1A4vJnSEu5vDt4ciIiK665iw1EMpl29h5tJUZGlL4ePphg8fiUFiNxbZIyKihosJSz0iCAKSDlzG39efQrleQPuWPvh8ak90CGrq7NCIiIgciglLPVFSpsdrySfw45FrAIBR3ULw/sMxaKrhS0hERA0fW7t64HJuEaYnpeJ0phZqFfBKYif8eWA7LlkmIqJGgwmLi9t+5gaeW34U2tIKtGjqiU8fi0X/9i2cHRYREdFdxYTFRekNAj755Rw+/eUcACC2TTMsmhyHUH9vJ0dGRER09zFhcUG3i8swe/lR7Eq7CQB4vF8EXn+gMzzduWSZiIgaJyYsLub3a/mYnpSCq7dKoHFXY964bhgf39rZYRERETkVExYXsirlKl5LPgFdhQFtAptg8ZQ4dAnzd3ZYRERETseExQXoKvT4+0+nsPRgBgBgaKcg/HtCD/g38XByZERERK6BCYuTZeaX4OmkVBy9chsqFfDcsGjMGtoBajWXLBMRERkxYXGifedzMGvZEeQWlcHf2wMfP9oDQzoGOTssIiIil8OExQkEQcDnuy/i/U1nYBCAzqF+WDIlHm2aN3F2aERERC6JCctdVlBajhd/OI5NJ7MAAOPjWuMf47rCy8PNyZERERG5LiYsd9G5GwV4KikFF28WwcNNhTdHd8HkPm1YYp+IiKgGTFjukg3HM/HiqmMoLtMj1N8LiybHIbZNgLPDIiIiqheYsDhYhd6A9zadwZd70gEA/do1x4JJsWjRVOPkyIiIiOoPJiwOdLNAh2e+T8XB9DwAwFOD2+HFER3h7sYS+0RERPZgwuIgKZfzMGNpKm5odfDxdMOHj8QgsVuos8MiIiKql5iw1DFBEPDdgct4Z/0plOsFdAhqiiVT4tEhqKmzQyMiIqq3mLDUoZIyPV5NPoHkI9cAAA90C8V7D3dHUw2fZiIiojvBlrSOXM4twlPfpeBMVgHc1CrMTeyEPw6I5JJlIiKiOsCEpQ78cvoGnltxFAWlFWjR1BMLJ8Whb7vmzg6LiIiowWDCcgf0BgGfbEvDp9vPAwDi2jTDosnxCPH3cnJkREREDQsTllq6XVyG2cuPYlfaTQDA4/0i8PoDneHpziXLREREdY0JSy38fi0f05NScPVWCbw81Jg3rhseimvt7LCIiIgaLId1ByxatAiRkZHw8vJCfHw89uzZY/X4Xbt2IT4+Hl5eXmjXrh2WLFniqNDuyMrDVzB+8T5cvVWCNoFN8OPT9zJZISIicjCHJCwrVqzAc889h9deew1HjhzBwIEDkZiYiIyMDLPHp6enY9SoURg4cCCOHDmCV199Fc8++yxWr17tiPBqRVehx9wfT+ClVcehqzBgWKcg/PTMAHQO83N2aERERA2eShAEoa5P2qdPH8TFxWHx4sXSZffccw/Gjh2L+fPnmxz/8ssvY926dTh9+rR02fTp03Hs2DHs37/fpvvUarXw9/dHfn4+/PzqNom4frsETyel4NjVfKhUwPP3R+OZIR2gVnPJMhER0Z2wtf2u8x6WsrIypKSkYMSIEYrLR4wYgX379pm9zf79+02OT0hIwOHDh1FeXm72NjqdDlqtVvHlCL+ez8GDC/bi2NV8+Ht74OsneuHZYVFMVoiIiO6iOk9YcnJyoNfrERwcrLg8ODgYWVlZZm+TlZVl9viKigrk5OSYvc38+fPh7+8vfYWHh9fNA5ApLqvA7OVHkFdUhi5hflg/awDu6xhU5/dDRERE1jls0m31Cq+CIFit+mrueHOXG82dOxf5+fnS15UrV+4wYlNNPN3x74k9MKFna6x+uj/CA5vU+X0QERFRzep8WXOLFi3g5uZm0puSnZ1t0otiFBISYvZ4d3d3NG9uvmKsRqOBRqOpm6CtGBjVEgOjWjr8foiIiMiyOu9h8fT0RHx8PLZu3aq4fOvWrejfv7/Z2/Tr18/k+C1btqBnz57w8PCo6xCJiIionnHIkNCcOXPwn//8B//9739x+vRpPP/888jIyMD06dMBiMM5jz/+uHT89OnTcfnyZcyZMwenT5/Gf//7X3z11Vd44YUXHBEeERER1TMOqXQ7ceJE5Obm4u9//zsyMzPRtWtXbNy4EREREQCAzMxMRU2WyMhIbNy4Ec8//zw+++wzhIWF4dNPP8X48eMdER4RERHVMw6pw+IMjqzDQkRERI7htDosRERERHWNCQsRERG5PCYsRERE5PKYsBAREZHLY8JCRERELo8JCxEREbk8JixERETk8piwEBERkctjwkJEREQuzyGl+Z3BWLBXq9U6ORIiIiKylbHdrqnwfoNJWAoKCgAA4eHhTo6EiIiI7FVQUAB/f3+L1zeYvYQMBgOuX78OX19fqFSqOjuvVqtFeHg4rly5wj2K6gG+XvUHX6v6g69V/VLfXi9BEFBQUICwsDCo1ZZnqjSYHha1Wo3WrVs77Px+fn714oUnEV+v+oOvVf3B16p+qU+vl7WeFSNOuiUiIiKXx4SFiIiIXB4TlhpoNBq8+eab0Gg0zg6FbMDXq/7ga1V/8LWqXxrq69VgJt0SERFRw8UeFiIiInJ5TFiIiIjI5TFhISIiIpfHhIWIiIhcHhOWGixatAiRkZHw8vJCfHw89uzZ4+yQqJq33noLKpVK8RUSEuLssKjS7t27MXr0aISFhUGlUmHNmjWK6wVBwFtvvYWwsDB4e3vjvvvuw8mTJ50TbCNX02v1xBNPmPyv9e3b1znBNnLz589Hr1694Ovri6CgIIwdOxZnz55VHNPQ/reYsFixYsUKPPfcc3jttddw5MgRDBw4EImJicjIyHB2aFRNly5dkJmZKX2dOHHC2SFRpaKiIsTExGDhwoVmr3///ffxr3/9CwsXLsShQ4cQEhKC4cOHS/uD0d1T02sFACNHjlT8r23cuPEuRkhGu3btwsyZM3HgwAFs3boVFRUVGDFiBIqKiqRjGtz/lkAW9e7dW5g+fbrisk6dOgmvvPKKkyIic958800hJibG2WGQDQAIycnJ0u8Gg0EICQkR/vnPf0qXlZaWCv7+/sKSJUucECEZVX+tBEEQpk2bJowZM8Yp8ZB12dnZAgBh165dgiA0zP8t9rBYUFZWhpSUFIwYMUJx+YgRI7Bv3z4nRUWWnDt3DmFhYYiMjMSjjz6KixcvOjskskF6ejqysrIU/2cajQaDBw/m/5mL2rlzJ4KCghAdHY0///nPyM7OdnZIBCA/Px8AEBgYCKBh/m8xYbEgJycHer0ewcHBisuDg4ORlZXlpKjInD59+uDbb7/F5s2b8eWXXyIrKwv9+/dHbm6us0OjGhj/l/h/Vj8kJiZi6dKl2L59Oz766CMcOnQIQ4cOhU6nc3ZojZogCJgzZw4GDBiArl27AmiY/1sNZrdmR1GpVIrfBUEwuYycKzExUfq5W7du6NevH9q3b4///e9/mDNnjhMjI1vx/6x+mDhxovRz165d0bNnT0RERGDDhg146KGHnBhZ4/bMM8/g+PHj2Lt3r8l1Del/iz0sFrRo0QJubm4mmWh2drZJxkquxcfHB926dcO5c+ecHQrVwLiai/9n9VNoaCgiIiL4v+ZEs2bNwrp167Bjxw60bt1aurwh/m8xYbHA09MT8fHx2Lp1q+LyrVu3on///k6Kimyh0+lw+vRphIaGOjsUqkFkZCRCQkIU/2dlZWXYtWsX/8/qgdzcXFy5coX/a04gCAKeeeYZ/Pjjj9i+fTsiIyMV1zfE/y0OCVkxZ84cTJ06FT179kS/fv3wxRdfICMjA9OnT3d2aCTzwgsvYPTo0WjTpg2ys7Px7rvvQqvVYtq0ac4OjQAUFhbi/Pnz0u/p6ek4evQoAgMD0aZNGzz33HOYN28eoqKiEBUVhXnz5qFJkyaYNGmSE6NunKy9VoGBgXjrrbcwfvx4hIaG4tKlS3j11VfRokULjBs3zolRN04zZ87E999/j7Vr18LX11fqSfH394e3tzdUKlXD+99y6hqleuCzzz4TIiIiBE9PTyEuLk5aMkauY+LEiUJoaKjg4eEhhIWFCQ899JBw8uRJZ4dFlXbs2CEAMPmaNm2aIAji8ss333xTCAkJETQajTBo0CDhxIkTzg26kbL2WhUXFwsjRowQWrZsKXh4eAht2rQRpk2bJmRkZDg77EbJ3OsEQPj666+lYxra/5ZKEATh7qdJRERERLbjHBYiIiJyeUxYiIiIyOUxYSEiIiKXx4SFiIiIXB4TFiIiInJ5TFiIiIjI5TFhISIiIpfHhIWIiIhcHhMWIiIicnlMWIiIiMjlMWEhIiIil8eEhYiIiFze/wNCdwMAKQ441wAAAABJRU5ErkJggg==",
"text/plain": [
""
]
@@ -3282,7 +3240,7 @@
},
{
"cell_type": "code",
- "execution_count": 83,
+ "execution_count": 54,
"id": "41e7e1ee",
"metadata": {},
"outputs": [
@@ -3290,557 +3248,3205 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 1/2000\n",
- "8/8 [==============================] - 4s 90ms/step - loss: 1.8873 - distribution_lambda_10_loss: 0.2060 - distribution_lambda_11_loss: 1.2964 - distribution_lambda_12_loss: 0.3849 - val_loss: 1.8155 - val_distribution_lambda_10_loss: 0.0865 - val_distribution_lambda_11_loss: 1.3253 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 2/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9203 - distribution_lambda_10_loss: 0.2588 - distribution_lambda_11_loss: 1.2860 - distribution_lambda_12_loss: 0.3755 - val_loss: 1.8144 - val_distribution_lambda_10_loss: 0.0855 - val_distribution_lambda_11_loss: 1.3248 - val_distribution_lambda_12_loss: 0.4041\n",
- "Epoch 3/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8929 - distribution_lambda_10_loss: 0.2106 - distribution_lambda_11_loss: 1.2891 - distribution_lambda_12_loss: 0.3932 - val_loss: 1.8159 - val_distribution_lambda_10_loss: 0.0868 - val_distribution_lambda_11_loss: 1.3249 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 4/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8031 - distribution_lambda_10_loss: 0.1715 - distribution_lambda_11_loss: 1.2545 - distribution_lambda_12_loss: 0.3771 - val_loss: 1.8132 - val_distribution_lambda_10_loss: 0.0832 - val_distribution_lambda_11_loss: 1.3255 - val_distribution_lambda_12_loss: 0.4044\n",
- "Epoch 5/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8745 - distribution_lambda_10_loss: 0.1979 - distribution_lambda_11_loss: 1.2893 - distribution_lambda_12_loss: 0.3873 - val_loss: 1.8100 - val_distribution_lambda_10_loss: 0.0806 - val_distribution_lambda_11_loss: 1.3250 - val_distribution_lambda_12_loss: 0.4044\n",
- "Epoch 6/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8314 - distribution_lambda_10_loss: 0.1840 - distribution_lambda_11_loss: 1.2748 - distribution_lambda_12_loss: 0.3725 - val_loss: 1.8113 - val_distribution_lambda_10_loss: 0.0814 - val_distribution_lambda_11_loss: 1.3257 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 7/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8780 - distribution_lambda_10_loss: 0.2155 - distribution_lambda_11_loss: 1.2795 - distribution_lambda_12_loss: 0.3830 - val_loss: 1.8175 - val_distribution_lambda_10_loss: 0.0883 - val_distribution_lambda_11_loss: 1.3255 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 8/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9261 - distribution_lambda_10_loss: 0.2113 - distribution_lambda_11_loss: 1.3236 - distribution_lambda_12_loss: 0.3911 - val_loss: 1.8199 - val_distribution_lambda_10_loss: 0.0923 - val_distribution_lambda_11_loss: 1.3243 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 9/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8393 - distribution_lambda_10_loss: 0.1698 - distribution_lambda_11_loss: 1.2834 - distribution_lambda_12_loss: 0.3861 - val_loss: 1.8078 - val_distribution_lambda_10_loss: 0.0828 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 10/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8952 - distribution_lambda_10_loss: 0.2215 - distribution_lambda_11_loss: 1.2829 - distribution_lambda_12_loss: 0.3907 - val_loss: 1.8074 - val_distribution_lambda_10_loss: 0.0816 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 11/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9673 - distribution_lambda_10_loss: 0.2631 - distribution_lambda_11_loss: 1.3218 - distribution_lambda_12_loss: 0.3825 - val_loss: 1.8135 - val_distribution_lambda_10_loss: 0.0861 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 12/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8950 - distribution_lambda_10_loss: 0.2240 - distribution_lambda_11_loss: 1.2905 - distribution_lambda_12_loss: 0.3805 - val_loss: 1.8097 - val_distribution_lambda_10_loss: 0.0829 - val_distribution_lambda_11_loss: 1.3229 - val_distribution_lambda_12_loss: 0.4039\n",
- "Epoch 13/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8733 - distribution_lambda_10_loss: 0.1827 - distribution_lambda_11_loss: 1.2936 - distribution_lambda_12_loss: 0.3969 - val_loss: 1.8114 - val_distribution_lambda_10_loss: 0.0856 - val_distribution_lambda_11_loss: 1.3220 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 14/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8816 - distribution_lambda_10_loss: 0.1977 - distribution_lambda_11_loss: 1.2980 - distribution_lambda_12_loss: 0.3859 - val_loss: 1.8147 - val_distribution_lambda_10_loss: 0.0884 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4035\n",
- "Epoch 15/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9128 - distribution_lambda_10_loss: 0.2067 - distribution_lambda_11_loss: 1.3088 - distribution_lambda_12_loss: 0.3974 - val_loss: 1.8147 - val_distribution_lambda_10_loss: 0.0882 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 16/2000\n",
- "8/8 [==============================] - 0s 8ms/step - loss: 1.8255 - distribution_lambda_10_loss: 0.1688 - distribution_lambda_11_loss: 1.2783 - distribution_lambda_12_loss: 0.3784 - val_loss: 1.8128 - val_distribution_lambda_10_loss: 0.0861 - val_distribution_lambda_11_loss: 1.3238 - val_distribution_lambda_12_loss: 0.4030\n",
- "Epoch 17/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8411 - distribution_lambda_10_loss: 0.1780 - distribution_lambda_11_loss: 1.2857 - distribution_lambda_12_loss: 0.3775 - val_loss: 1.8089 - val_distribution_lambda_10_loss: 0.0815 - val_distribution_lambda_11_loss: 1.3245 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 18/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9114 - distribution_lambda_10_loss: 0.2159 - distribution_lambda_11_loss: 1.3077 - distribution_lambda_12_loss: 0.3878 - val_loss: 1.8119 - val_distribution_lambda_10_loss: 0.0849 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.4033\n",
- "Epoch 19/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9099 - distribution_lambda_10_loss: 0.2054 - distribution_lambda_11_loss: 1.3104 - distribution_lambda_12_loss: 0.3941 - val_loss: 1.8074 - val_distribution_lambda_10_loss: 0.0795 - val_distribution_lambda_11_loss: 1.3246 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 20/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8742 - distribution_lambda_10_loss: 0.2154 - distribution_lambda_11_loss: 1.2759 - distribution_lambda_12_loss: 0.3830 - val_loss: 1.8145 - val_distribution_lambda_10_loss: 0.0837 - val_distribution_lambda_11_loss: 1.3275 - val_distribution_lambda_12_loss: 0.4033\n",
- "Epoch 21/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9526 - distribution_lambda_10_loss: 0.2572 - distribution_lambda_11_loss: 1.3148 - distribution_lambda_12_loss: 0.3807 - val_loss: 1.8099 - val_distribution_lambda_10_loss: 0.0806 - val_distribution_lambda_11_loss: 1.3259 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 22/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9162 - distribution_lambda_10_loss: 0.2340 - distribution_lambda_11_loss: 1.2961 - distribution_lambda_12_loss: 0.3860 - val_loss: 1.8123 - val_distribution_lambda_10_loss: 0.0830 - val_distribution_lambda_11_loss: 1.3255 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 23/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9189 - distribution_lambda_10_loss: 0.2566 - distribution_lambda_11_loss: 1.2854 - distribution_lambda_12_loss: 0.3769 - val_loss: 1.8260 - val_distribution_lambda_10_loss: 0.0969 - val_distribution_lambda_11_loss: 1.3256 - val_distribution_lambda_12_loss: 0.4035\n",
- "Epoch 24/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9318 - distribution_lambda_10_loss: 0.2354 - distribution_lambda_11_loss: 1.3032 - distribution_lambda_12_loss: 0.3932 - val_loss: 1.8171 - val_distribution_lambda_10_loss: 0.0886 - val_distribution_lambda_11_loss: 1.3246 - val_distribution_lambda_12_loss: 0.4039\n",
- "Epoch 25/2000\n"
+ "Epoch 1/2500\n",
+ "8/8 [==============================] - 4s 92ms/step - loss: 363.3525 - distribution_lambda_26_loss: 106.5460 - distribution_lambda_27_loss: 255.9949 - distribution_lambda_28_loss: 0.8116 - val_loss: 255.7005 - val_distribution_lambda_26_loss: 95.0135 - val_distribution_lambda_27_loss: 159.8931 - val_distribution_lambda_28_loss: 0.7939\n",
+ "Epoch 2/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 242.5359 - distribution_lambda_26_loss: 90.2925 - distribution_lambda_27_loss: 151.4580 - distribution_lambda_28_loss: 0.7854 - val_loss: 181.1897 - val_distribution_lambda_26_loss: 80.4324 - val_distribution_lambda_27_loss: 99.9920 - val_distribution_lambda_28_loss: 0.7654\n",
+ "Epoch 3/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 172.7781 - distribution_lambda_26_loss: 75.9389 - distribution_lambda_27_loss: 96.0833 - distribution_lambda_28_loss: 0.7559 - val_loss: 137.6391 - val_distribution_lambda_26_loss: 68.3221 - val_distribution_lambda_27_loss: 68.5772 - val_distribution_lambda_28_loss: 0.7398\n",
+ "Epoch 4/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 134.3410 - distribution_lambda_26_loss: 64.5182 - distribution_lambda_27_loss: 69.0890 - distribution_lambda_28_loss: 0.7337 - val_loss: 109.9033 - val_distribution_lambda_26_loss: 58.6612 - val_distribution_lambda_27_loss: 50.5242 - val_distribution_lambda_28_loss: 0.7179\n",
+ "Epoch 5/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 107.2862 - distribution_lambda_26_loss: 55.5948 - distribution_lambda_27_loss: 50.9793 - distribution_lambda_28_loss: 0.7121 - val_loss: 90.9552 - val_distribution_lambda_26_loss: 50.7684 - val_distribution_lambda_27_loss: 39.4882 - val_distribution_lambda_28_loss: 0.6985\n",
+ "Epoch 6/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 89.6161 - distribution_lambda_26_loss: 48.2157 - distribution_lambda_27_loss: 40.7019 - distribution_lambda_28_loss: 0.6985 - val_loss: 77.0989 - val_distribution_lambda_26_loss: 44.2830 - val_distribution_lambda_27_loss: 32.1339 - val_distribution_lambda_28_loss: 0.6820\n",
+ "Epoch 7/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 76.6649 - distribution_lambda_26_loss: 42.5049 - distribution_lambda_27_loss: 33.4795 - distribution_lambda_28_loss: 0.6805 - val_loss: 66.2563 - val_distribution_lambda_26_loss: 38.8386 - val_distribution_lambda_27_loss: 26.7498 - val_distribution_lambda_28_loss: 0.6679\n",
+ "Epoch 8/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 65.1514 - distribution_lambda_26_loss: 36.9772 - distribution_lambda_27_loss: 27.5046 - distribution_lambda_28_loss: 0.6695 - val_loss: 57.5291 - val_distribution_lambda_26_loss: 34.2010 - val_distribution_lambda_27_loss: 22.6720 - val_distribution_lambda_28_loss: 0.6561\n",
+ "Epoch 9/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 57.1919 - distribution_lambda_26_loss: 33.0281 - distribution_lambda_27_loss: 23.5040 - distribution_lambda_28_loss: 0.6597 - val_loss: 50.3063 - val_distribution_lambda_26_loss: 30.2402 - val_distribution_lambda_27_loss: 19.4200 - val_distribution_lambda_28_loss: 0.6460\n",
+ "Epoch 10/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 49.8005 - distribution_lambda_26_loss: 28.9802 - distribution_lambda_27_loss: 20.1705 - distribution_lambda_28_loss: 0.6498 - val_loss: 44.2238 - val_distribution_lambda_26_loss: 26.8281 - val_distribution_lambda_27_loss: 16.7585 - val_distribution_lambda_28_loss: 0.6373\n",
+ "Epoch 11/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 44.3848 - distribution_lambda_26_loss: 25.9915 - distribution_lambda_27_loss: 17.7523 - distribution_lambda_28_loss: 0.6409 - val_loss: 39.0558 - val_distribution_lambda_26_loss: 23.8972 - val_distribution_lambda_27_loss: 14.5287 - val_distribution_lambda_28_loss: 0.6299\n",
+ "Epoch 12/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 39.3051 - distribution_lambda_26_loss: 23.1697 - distribution_lambda_27_loss: 15.4997 - distribution_lambda_28_loss: 0.6357 - val_loss: 34.6634 - val_distribution_lambda_26_loss: 21.3916 - val_distribution_lambda_27_loss: 12.6478 - val_distribution_lambda_28_loss: 0.6239\n",
+ "Epoch 13/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 34.7644 - distribution_lambda_26_loss: 20.9584 - distribution_lambda_27_loss: 13.1741 - distribution_lambda_28_loss: 0.6319 - val_loss: 30.9429 - val_distribution_lambda_26_loss: 19.1970 - val_distribution_lambda_27_loss: 11.1269 - val_distribution_lambda_28_loss: 0.6190\n",
+ "Epoch 14/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 31.1160 - distribution_lambda_26_loss: 18.6549 - distribution_lambda_27_loss: 11.8352 - distribution_lambda_28_loss: 0.6259 - val_loss: 27.8197 - val_distribution_lambda_26_loss: 17.3376 - val_distribution_lambda_27_loss: 9.8673 - val_distribution_lambda_28_loss: 0.6148\n",
+ "Epoch 15/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 28.5349 - distribution_lambda_26_loss: 17.2940 - distribution_lambda_27_loss: 10.6187 - distribution_lambda_28_loss: 0.6222 - val_loss: 25.1625 - val_distribution_lambda_26_loss: 15.7275 - val_distribution_lambda_27_loss: 8.8238 - val_distribution_lambda_28_loss: 0.6112\n",
+ "Epoch 16/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 25.6882 - distribution_lambda_26_loss: 15.7276 - distribution_lambda_27_loss: 9.3402 - distribution_lambda_28_loss: 0.6204 - val_loss: 22.9059 - val_distribution_lambda_26_loss: 14.3543 - val_distribution_lambda_27_loss: 7.9434 - val_distribution_lambda_28_loss: 0.6082\n",
+ "Epoch 17/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 23.5566 - distribution_lambda_26_loss: 14.4582 - distribution_lambda_27_loss: 8.4842 - distribution_lambda_28_loss: 0.6141 - val_loss: 20.9612 - val_distribution_lambda_26_loss: 13.1507 - val_distribution_lambda_27_loss: 7.2048 - val_distribution_lambda_28_loss: 0.6057\n",
+ "Epoch 18/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 21.7641 - distribution_lambda_26_loss: 13.3370 - distribution_lambda_27_loss: 7.8110 - distribution_lambda_28_loss: 0.6161 - val_loss: 19.2811 - val_distribution_lambda_26_loss: 12.1125 - val_distribution_lambda_27_loss: 6.5647 - val_distribution_lambda_28_loss: 0.6038\n",
+ "Epoch 19/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 19.8883 - distribution_lambda_26_loss: 12.2286 - distribution_lambda_27_loss: 7.0458 - distribution_lambda_28_loss: 0.6139 - val_loss: 17.8345 - val_distribution_lambda_26_loss: 11.2082 - val_distribution_lambda_27_loss: 6.0240 - val_distribution_lambda_28_loss: 0.6023\n",
+ "Epoch 20/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 18.8719 - distribution_lambda_26_loss: 11.5044 - distribution_lambda_27_loss: 6.7594 - distribution_lambda_28_loss: 0.6080 - val_loss: 16.5742 - val_distribution_lambda_26_loss: 10.4116 - val_distribution_lambda_27_loss: 5.5616 - val_distribution_lambda_28_loss: 0.6010\n",
+ "Epoch 21/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 17.3019 - distribution_lambda_26_loss: 10.5656 - distribution_lambda_27_loss: 6.1266 - distribution_lambda_28_loss: 0.6097 - val_loss: 15.4846 - val_distribution_lambda_26_loss: 9.7153 - val_distribution_lambda_27_loss: 5.1693 - val_distribution_lambda_28_loss: 0.5999\n",
+ "Epoch 22/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 16.4616 - distribution_lambda_26_loss: 9.9806 - distribution_lambda_27_loss: 5.8742 - distribution_lambda_28_loss: 0.6068 - val_loss: 14.5362 - val_distribution_lambda_26_loss: 9.1062 - val_distribution_lambda_27_loss: 4.8310 - val_distribution_lambda_28_loss: 0.5991\n",
+ "Epoch 23/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 15.5441 - distribution_lambda_26_loss: 9.5332 - distribution_lambda_27_loss: 5.4061 - distribution_lambda_28_loss: 0.6048 - val_loss: 13.7131 - val_distribution_lambda_26_loss: 8.5677 - val_distribution_lambda_27_loss: 4.5472 - val_distribution_lambda_28_loss: 0.5982\n",
+ "Epoch 24/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 14.4935 - distribution_lambda_26_loss: 8.8376 - distribution_lambda_27_loss: 5.0518 - distribution_lambda_28_loss: 0.6040 - val_loss: 12.9867 - val_distribution_lambda_26_loss: 8.0917 - val_distribution_lambda_27_loss: 4.2975 - val_distribution_lambda_28_loss: 0.5975\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8403 - distribution_lambda_10_loss: 0.1649 - distribution_lambda_11_loss: 1.3011 - distribution_lambda_12_loss: 0.3743 - val_loss: 1.8114 - val_distribution_lambda_10_loss: 0.0834 - val_distribution_lambda_11_loss: 1.3238 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 26/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9220 - distribution_lambda_10_loss: 0.2377 - distribution_lambda_11_loss: 1.2974 - distribution_lambda_12_loss: 0.3869 - val_loss: 1.8123 - val_distribution_lambda_10_loss: 0.0838 - val_distribution_lambda_11_loss: 1.3242 - val_distribution_lambda_12_loss: 0.4043\n",
- "Epoch 27/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9124 - distribution_lambda_10_loss: 0.2429 - distribution_lambda_11_loss: 1.2890 - distribution_lambda_12_loss: 0.3805 - val_loss: 1.8138 - val_distribution_lambda_10_loss: 0.0849 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4043\n",
- "Epoch 28/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8985 - distribution_lambda_10_loss: 0.1971 - distribution_lambda_11_loss: 1.3069 - distribution_lambda_12_loss: 0.3945 - val_loss: 1.8176 - val_distribution_lambda_10_loss: 0.0876 - val_distribution_lambda_11_loss: 1.3258 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 29/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8634 - distribution_lambda_10_loss: 0.2052 - distribution_lambda_11_loss: 1.2849 - distribution_lambda_12_loss: 0.3733 - val_loss: 1.8206 - val_distribution_lambda_10_loss: 0.0884 - val_distribution_lambda_11_loss: 1.3281 - val_distribution_lambda_12_loss: 0.4041\n",
- "Epoch 30/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9083 - distribution_lambda_10_loss: 0.2078 - distribution_lambda_11_loss: 1.3017 - distribution_lambda_12_loss: 0.3988 - val_loss: 1.8218 - val_distribution_lambda_10_loss: 0.0915 - val_distribution_lambda_11_loss: 1.3265 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 31/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9393 - distribution_lambda_10_loss: 0.2607 - distribution_lambda_11_loss: 1.2819 - distribution_lambda_12_loss: 0.3967 - val_loss: 1.8143 - val_distribution_lambda_10_loss: 0.0845 - val_distribution_lambda_11_loss: 1.3259 - val_distribution_lambda_12_loss: 0.4040\n",
- "Epoch 32/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8375 - distribution_lambda_10_loss: 0.1887 - distribution_lambda_11_loss: 1.2690 - distribution_lambda_12_loss: 0.3798 - val_loss: 1.8147 - val_distribution_lambda_10_loss: 0.0850 - val_distribution_lambda_11_loss: 1.3258 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 33/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8854 - distribution_lambda_10_loss: 0.2257 - distribution_lambda_11_loss: 1.2853 - distribution_lambda_12_loss: 0.3743 - val_loss: 1.8131 - val_distribution_lambda_10_loss: 0.0847 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4036\n",
- "Epoch 34/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8706 - distribution_lambda_10_loss: 0.2025 - distribution_lambda_11_loss: 1.2847 - distribution_lambda_12_loss: 0.3835 - val_loss: 1.8105 - val_distribution_lambda_10_loss: 0.0828 - val_distribution_lambda_11_loss: 1.3240 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 35/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9062 - distribution_lambda_10_loss: 0.2328 - distribution_lambda_11_loss: 1.2912 - distribution_lambda_12_loss: 0.3821 - val_loss: 1.8142 - val_distribution_lambda_10_loss: 0.0865 - val_distribution_lambda_11_loss: 1.3236 - val_distribution_lambda_12_loss: 0.4040\n",
- "Epoch 36/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9054 - distribution_lambda_10_loss: 0.1991 - distribution_lambda_11_loss: 1.3098 - distribution_lambda_12_loss: 0.3965 - val_loss: 1.8189 - val_distribution_lambda_10_loss: 0.0909 - val_distribution_lambda_11_loss: 1.3240 - val_distribution_lambda_12_loss: 0.4040\n",
- "Epoch 37/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8199 - distribution_lambda_10_loss: 0.1544 - distribution_lambda_11_loss: 1.2748 - distribution_lambda_12_loss: 0.3907 - val_loss: 1.8153 - val_distribution_lambda_10_loss: 0.0862 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4041\n",
- "Epoch 38/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8786 - distribution_lambda_10_loss: 0.2002 - distribution_lambda_11_loss: 1.2902 - distribution_lambda_12_loss: 0.3882 - val_loss: 1.8078 - val_distribution_lambda_10_loss: 0.0815 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 39/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8069 - distribution_lambda_10_loss: 0.1506 - distribution_lambda_11_loss: 1.2756 - distribution_lambda_12_loss: 0.3806 - val_loss: 1.8056 - val_distribution_lambda_10_loss: 0.0807 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 40/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9068 - distribution_lambda_10_loss: 0.2343 - distribution_lambda_11_loss: 1.2874 - distribution_lambda_12_loss: 0.3852 - val_loss: 1.8051 - val_distribution_lambda_10_loss: 0.0807 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 41/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8900 - distribution_lambda_10_loss: 0.2202 - distribution_lambda_11_loss: 1.2920 - distribution_lambda_12_loss: 0.3777 - val_loss: 1.8037 - val_distribution_lambda_10_loss: 0.0794 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.4028\n",
- "Epoch 42/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8697 - distribution_lambda_10_loss: 0.1912 - distribution_lambda_11_loss: 1.2995 - distribution_lambda_12_loss: 0.3790 - val_loss: 1.8050 - val_distribution_lambda_10_loss: 0.0797 - val_distribution_lambda_11_loss: 1.3229 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 43/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8724 - distribution_lambda_10_loss: 0.1743 - distribution_lambda_11_loss: 1.3005 - distribution_lambda_12_loss: 0.3976 - val_loss: 1.7974 - val_distribution_lambda_10_loss: 0.0726 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 44/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8711 - distribution_lambda_10_loss: 0.1981 - distribution_lambda_11_loss: 1.2953 - distribution_lambda_12_loss: 0.3778 - val_loss: 1.7997 - val_distribution_lambda_10_loss: 0.0729 - val_distribution_lambda_11_loss: 1.3244 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 45/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8247 - distribution_lambda_10_loss: 0.1661 - distribution_lambda_11_loss: 1.2781 - distribution_lambda_12_loss: 0.3805 - val_loss: 1.7983 - val_distribution_lambda_10_loss: 0.0739 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 46/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8031 - distribution_lambda_10_loss: 0.1642 - distribution_lambda_11_loss: 1.2648 - distribution_lambda_12_loss: 0.3740 - val_loss: 1.7988 - val_distribution_lambda_10_loss: 0.0726 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 47/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8898 - distribution_lambda_10_loss: 0.1886 - distribution_lambda_11_loss: 1.2976 - distribution_lambda_12_loss: 0.4035 - val_loss: 1.8018 - val_distribution_lambda_10_loss: 0.0740 - val_distribution_lambda_11_loss: 1.3257 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 48/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8293 - distribution_lambda_10_loss: 0.1881 - distribution_lambda_11_loss: 1.2689 - distribution_lambda_12_loss: 0.3723 - val_loss: 1.8012 - val_distribution_lambda_10_loss: 0.0761 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 49/2000\n"
+ "Epoch 25/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 14.1258 - distribution_lambda_26_loss: 8.5527 - distribution_lambda_27_loss: 4.9674 - distribution_lambda_28_loss: 0.6057 - val_loss: 12.3423 - val_distribution_lambda_26_loss: 7.6652 - val_distribution_lambda_27_loss: 4.0803 - val_distribution_lambda_28_loss: 0.5969\n",
+ "Epoch 26/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 13.1648 - distribution_lambda_26_loss: 7.9949 - distribution_lambda_27_loss: 4.5637 - distribution_lambda_28_loss: 0.6061 - val_loss: 11.7809 - val_distribution_lambda_26_loss: 7.2914 - val_distribution_lambda_27_loss: 3.8933 - val_distribution_lambda_28_loss: 0.5963\n",
+ "Epoch 27/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 12.7060 - distribution_lambda_26_loss: 7.6410 - distribution_lambda_27_loss: 4.4611 - distribution_lambda_28_loss: 0.6039 - val_loss: 11.2842 - val_distribution_lambda_26_loss: 6.9593 - val_distribution_lambda_27_loss: 3.7291 - val_distribution_lambda_28_loss: 0.5958\n",
+ "Epoch 28/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 12.1477 - distribution_lambda_26_loss: 7.2550 - distribution_lambda_27_loss: 4.2870 - distribution_lambda_28_loss: 0.6058 - val_loss: 10.8478 - val_distribution_lambda_26_loss: 6.6651 - val_distribution_lambda_27_loss: 3.5874 - val_distribution_lambda_28_loss: 0.5953\n",
+ "Epoch 29/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 11.4911 - distribution_lambda_26_loss: 6.9293 - distribution_lambda_27_loss: 3.9596 - distribution_lambda_28_loss: 0.6023 - val_loss: 10.4625 - val_distribution_lambda_26_loss: 6.4030 - val_distribution_lambda_27_loss: 3.4646 - val_distribution_lambda_28_loss: 0.5949\n",
+ "Epoch 30/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 11.3781 - distribution_lambda_26_loss: 6.7449 - distribution_lambda_27_loss: 4.0323 - distribution_lambda_28_loss: 0.6008 - val_loss: 10.1204 - val_distribution_lambda_26_loss: 6.1692 - val_distribution_lambda_27_loss: 3.3567 - val_distribution_lambda_28_loss: 0.5945\n",
+ "Epoch 31/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 10.9506 - distribution_lambda_26_loss: 6.4987 - distribution_lambda_27_loss: 3.8503 - distribution_lambda_28_loss: 0.6017 - val_loss: 9.8183 - val_distribution_lambda_26_loss: 5.9612 - val_distribution_lambda_27_loss: 3.2630 - val_distribution_lambda_28_loss: 0.5941\n",
+ "Epoch 32/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 10.6632 - distribution_lambda_26_loss: 6.3003 - distribution_lambda_27_loss: 3.7628 - distribution_lambda_28_loss: 0.6001 - val_loss: 9.5478 - val_distribution_lambda_26_loss: 5.7747 - val_distribution_lambda_27_loss: 3.1794 - val_distribution_lambda_28_loss: 0.5937\n",
+ "Epoch 33/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 10.3353 - distribution_lambda_26_loss: 6.0883 - distribution_lambda_27_loss: 3.6496 - distribution_lambda_28_loss: 0.5974 - val_loss: 9.3017 - val_distribution_lambda_26_loss: 5.6040 - val_distribution_lambda_27_loss: 3.1043 - val_distribution_lambda_28_loss: 0.5934\n",
+ "Epoch 34/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.9032 - distribution_lambda_26_loss: 5.8710 - distribution_lambda_27_loss: 3.4321 - distribution_lambda_28_loss: 0.6001 - val_loss: 9.0841 - val_distribution_lambda_26_loss: 5.4508 - val_distribution_lambda_27_loss: 3.0403 - val_distribution_lambda_28_loss: 0.5930\n",
+ "Epoch 35/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.7848 - distribution_lambda_26_loss: 5.7083 - distribution_lambda_27_loss: 3.4772 - distribution_lambda_28_loss: 0.5993 - val_loss: 8.8900 - val_distribution_lambda_26_loss: 5.3140 - val_distribution_lambda_27_loss: 2.9834 - val_distribution_lambda_28_loss: 0.5926\n",
+ "Epoch 36/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.6010 - distribution_lambda_26_loss: 5.5979 - distribution_lambda_27_loss: 3.4062 - distribution_lambda_28_loss: 0.5970 - val_loss: 8.7125 - val_distribution_lambda_26_loss: 5.1875 - val_distribution_lambda_27_loss: 2.9327 - val_distribution_lambda_28_loss: 0.5923\n",
+ "Epoch 37/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.3883 - distribution_lambda_26_loss: 5.4777 - distribution_lambda_27_loss: 3.3108 - distribution_lambda_28_loss: 0.5998 - val_loss: 8.5506 - val_distribution_lambda_26_loss: 5.0721 - val_distribution_lambda_27_loss: 2.8865 - val_distribution_lambda_28_loss: 0.5920\n",
+ "Epoch 38/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.1992 - distribution_lambda_26_loss: 5.3754 - distribution_lambda_27_loss: 3.2277 - distribution_lambda_28_loss: 0.5962 - val_loss: 8.4045 - val_distribution_lambda_26_loss: 4.9664 - val_distribution_lambda_27_loss: 2.8464 - val_distribution_lambda_28_loss: 0.5916\n",
+ "Epoch 39/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.9762 - distribution_lambda_26_loss: 5.1713 - distribution_lambda_27_loss: 3.2076 - distribution_lambda_28_loss: 0.5973 - val_loss: 8.2727 - val_distribution_lambda_26_loss: 4.8711 - val_distribution_lambda_27_loss: 2.8104 - val_distribution_lambda_28_loss: 0.5913\n",
+ "Epoch 40/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.8104 - distribution_lambda_26_loss: 5.1153 - distribution_lambda_27_loss: 3.0964 - distribution_lambda_28_loss: 0.5986 - val_loss: 8.1532 - val_distribution_lambda_26_loss: 4.7835 - val_distribution_lambda_27_loss: 2.7787 - val_distribution_lambda_28_loss: 0.5909\n",
+ "Epoch 41/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.6865 - distribution_lambda_26_loss: 4.9994 - distribution_lambda_27_loss: 3.0898 - distribution_lambda_28_loss: 0.5974 - val_loss: 8.0424 - val_distribution_lambda_26_loss: 4.7024 - val_distribution_lambda_27_loss: 2.7494 - val_distribution_lambda_28_loss: 0.5906\n",
+ "Epoch 42/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.6269 - distribution_lambda_26_loss: 4.9760 - distribution_lambda_27_loss: 3.0516 - distribution_lambda_28_loss: 0.5994 - val_loss: 7.9394 - val_distribution_lambda_26_loss: 4.6269 - val_distribution_lambda_27_loss: 2.7223 - val_distribution_lambda_28_loss: 0.5902\n",
+ "Epoch 43/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.5404 - distribution_lambda_26_loss: 4.8860 - distribution_lambda_27_loss: 3.0587 - distribution_lambda_28_loss: 0.5957 - val_loss: 7.8433 - val_distribution_lambda_26_loss: 4.5563 - val_distribution_lambda_27_loss: 2.6972 - val_distribution_lambda_28_loss: 0.5899\n",
+ "Epoch 44/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 8.3453 - distribution_lambda_26_loss: 4.8044 - distribution_lambda_27_loss: 2.9455 - distribution_lambda_28_loss: 0.5955 - val_loss: 7.7559 - val_distribution_lambda_26_loss: 4.4914 - val_distribution_lambda_27_loss: 2.6750 - val_distribution_lambda_28_loss: 0.5895\n",
+ "Epoch 45/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.3607 - distribution_lambda_26_loss: 4.7509 - distribution_lambda_27_loss: 3.0136 - distribution_lambda_28_loss: 0.5962 - val_loss: 7.6743 - val_distribution_lambda_26_loss: 4.4308 - val_distribution_lambda_27_loss: 2.6544 - val_distribution_lambda_28_loss: 0.5891\n",
+ "Epoch 46/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.1768 - distribution_lambda_26_loss: 4.6482 - distribution_lambda_27_loss: 2.9357 - distribution_lambda_28_loss: 0.5929 - val_loss: 7.5985 - val_distribution_lambda_26_loss: 4.3740 - val_distribution_lambda_27_loss: 2.6358 - val_distribution_lambda_28_loss: 0.5887\n",
+ "Epoch 47/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.1367 - distribution_lambda_26_loss: 4.6072 - distribution_lambda_27_loss: 2.9355 - distribution_lambda_28_loss: 0.5940 - val_loss: 7.5274 - val_distribution_lambda_26_loss: 4.3208 - val_distribution_lambda_27_loss: 2.6182 - val_distribution_lambda_28_loss: 0.5884\n",
+ "Epoch 48/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.9991 - distribution_lambda_26_loss: 4.5083 - distribution_lambda_27_loss: 2.8979 - distribution_lambda_28_loss: 0.5928 - val_loss: 7.4606 - val_distribution_lambda_26_loss: 4.2710 - val_distribution_lambda_27_loss: 2.6015 - val_distribution_lambda_28_loss: 0.5880\n",
+ "Epoch 49/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8720 - distribution_lambda_10_loss: 0.2033 - distribution_lambda_11_loss: 1.2868 - distribution_lambda_12_loss: 0.3819 - val_loss: 1.7989 - val_distribution_lambda_10_loss: 0.0737 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 50/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9458 - distribution_lambda_10_loss: 0.2602 - distribution_lambda_11_loss: 1.3087 - distribution_lambda_12_loss: 0.3769 - val_loss: 1.8034 - val_distribution_lambda_10_loss: 0.0777 - val_distribution_lambda_11_loss: 1.3235 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 51/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8785 - distribution_lambda_10_loss: 0.1932 - distribution_lambda_11_loss: 1.2918 - distribution_lambda_12_loss: 0.3935 - val_loss: 1.8050 - val_distribution_lambda_10_loss: 0.0779 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 52/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8723 - distribution_lambda_10_loss: 0.1805 - distribution_lambda_11_loss: 1.3061 - distribution_lambda_12_loss: 0.3857 - val_loss: 1.8013 - val_distribution_lambda_10_loss: 0.0748 - val_distribution_lambda_11_loss: 1.3241 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 53/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8802 - distribution_lambda_10_loss: 0.1974 - distribution_lambda_11_loss: 1.3002 - distribution_lambda_12_loss: 0.3827 - val_loss: 1.8070 - val_distribution_lambda_10_loss: 0.0797 - val_distribution_lambda_11_loss: 1.3248 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 54/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9076 - distribution_lambda_10_loss: 0.2130 - distribution_lambda_11_loss: 1.3030 - distribution_lambda_12_loss: 0.3916 - val_loss: 1.8037 - val_distribution_lambda_10_loss: 0.0732 - val_distribution_lambda_11_loss: 1.3275 - val_distribution_lambda_12_loss: 0.4030\n",
- "Epoch 55/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8582 - distribution_lambda_10_loss: 0.1954 - distribution_lambda_11_loss: 1.2783 - distribution_lambda_12_loss: 0.3844 - val_loss: 1.8008 - val_distribution_lambda_10_loss: 0.0737 - val_distribution_lambda_11_loss: 1.3245 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 56/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8618 - distribution_lambda_10_loss: 0.1880 - distribution_lambda_11_loss: 1.2842 - distribution_lambda_12_loss: 0.3896 - val_loss: 1.7985 - val_distribution_lambda_10_loss: 0.0722 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 57/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8685 - distribution_lambda_10_loss: 0.1786 - distribution_lambda_11_loss: 1.3043 - distribution_lambda_12_loss: 0.3856 - val_loss: 1.7985 - val_distribution_lambda_10_loss: 0.0713 - val_distribution_lambda_11_loss: 1.3249 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 58/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8740 - distribution_lambda_10_loss: 0.1997 - distribution_lambda_11_loss: 1.2934 - distribution_lambda_12_loss: 0.3810 - val_loss: 1.7994 - val_distribution_lambda_10_loss: 0.0736 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 59/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8772 - distribution_lambda_10_loss: 0.1853 - distribution_lambda_11_loss: 1.2948 - distribution_lambda_12_loss: 0.3971 - val_loss: 1.7949 - val_distribution_lambda_10_loss: 0.0701 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 60/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8881 - distribution_lambda_10_loss: 0.2037 - distribution_lambda_11_loss: 1.2976 - distribution_lambda_12_loss: 0.3868 - val_loss: 1.8022 - val_distribution_lambda_10_loss: 0.0760 - val_distribution_lambda_11_loss: 1.3235 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 61/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9871 - distribution_lambda_10_loss: 0.2712 - distribution_lambda_11_loss: 1.3184 - distribution_lambda_12_loss: 0.3974 - val_loss: 1.8091 - val_distribution_lambda_10_loss: 0.0793 - val_distribution_lambda_11_loss: 1.3272 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 62/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8240 - distribution_lambda_10_loss: 0.1746 - distribution_lambda_11_loss: 1.2769 - distribution_lambda_12_loss: 0.3725 - val_loss: 1.8041 - val_distribution_lambda_10_loss: 0.0766 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 63/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8947 - distribution_lambda_10_loss: 0.2060 - distribution_lambda_11_loss: 1.2901 - distribution_lambda_12_loss: 0.3986 - val_loss: 1.8051 - val_distribution_lambda_10_loss: 0.0802 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 64/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8909 - distribution_lambda_10_loss: 0.2276 - distribution_lambda_11_loss: 1.2858 - distribution_lambda_12_loss: 0.3775 - val_loss: 1.8006 - val_distribution_lambda_10_loss: 0.0759 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 65/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8588 - distribution_lambda_10_loss: 0.1928 - distribution_lambda_11_loss: 1.2918 - distribution_lambda_12_loss: 0.3741 - val_loss: 1.8038 - val_distribution_lambda_10_loss: 0.0805 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 66/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8805 - distribution_lambda_10_loss: 0.2480 - distribution_lambda_11_loss: 1.2594 - distribution_lambda_12_loss: 0.3731 - val_loss: 1.7980 - val_distribution_lambda_10_loss: 0.0739 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 67/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8500 - distribution_lambda_10_loss: 0.1919 - distribution_lambda_11_loss: 1.2864 - distribution_lambda_12_loss: 0.3717 - val_loss: 1.7954 - val_distribution_lambda_10_loss: 0.0726 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 68/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8802 - distribution_lambda_10_loss: 0.2151 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3849 - val_loss: 1.7989 - val_distribution_lambda_10_loss: 0.0749 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 69/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9610 - distribution_lambda_10_loss: 0.2524 - distribution_lambda_11_loss: 1.3077 - distribution_lambda_12_loss: 0.4008 - val_loss: 1.8085 - val_distribution_lambda_10_loss: 0.0835 - val_distribution_lambda_11_loss: 1.3222 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 70/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8414 - distribution_lambda_10_loss: 0.1584 - distribution_lambda_11_loss: 1.2987 - distribution_lambda_12_loss: 0.3843 - val_loss: 1.8016 - val_distribution_lambda_10_loss: 0.0779 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 71/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8905 - distribution_lambda_10_loss: 0.1907 - distribution_lambda_11_loss: 1.3019 - distribution_lambda_12_loss: 0.3980 - val_loss: 1.7976 - val_distribution_lambda_10_loss: 0.0735 - val_distribution_lambda_11_loss: 1.3212 - val_distribution_lambda_12_loss: 0.4030\n",
- "Epoch 72/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8575 - distribution_lambda_10_loss: 0.1851 - distribution_lambda_11_loss: 1.2852 - distribution_lambda_12_loss: 0.3871 - val_loss: 1.8006 - val_distribution_lambda_10_loss: 0.0738 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 73/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.9865 - distribution_lambda_26_loss: 4.4911 - distribution_lambda_27_loss: 2.9055 - distribution_lambda_28_loss: 0.5899 - val_loss: 7.3985 - val_distribution_lambda_26_loss: 4.2245 - val_distribution_lambda_27_loss: 2.5863 - val_distribution_lambda_28_loss: 0.5877\n",
+ "Epoch 50/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.8558 - distribution_lambda_26_loss: 4.4284 - distribution_lambda_27_loss: 2.8348 - distribution_lambda_28_loss: 0.5926 - val_loss: 7.3403 - val_distribution_lambda_26_loss: 4.1806 - val_distribution_lambda_27_loss: 2.5724 - val_distribution_lambda_28_loss: 0.5873\n",
+ "Epoch 51/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 7.7991 - distribution_lambda_26_loss: 4.4161 - distribution_lambda_27_loss: 2.7907 - distribution_lambda_28_loss: 0.5923 - val_loss: 7.2854 - val_distribution_lambda_26_loss: 4.1390 - val_distribution_lambda_27_loss: 2.5595 - val_distribution_lambda_28_loss: 0.5870\n",
+ "Epoch 52/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.7079 - distribution_lambda_26_loss: 4.3518 - distribution_lambda_27_loss: 2.7659 - distribution_lambda_28_loss: 0.5903 - val_loss: 7.2337 - val_distribution_lambda_26_loss: 4.0996 - val_distribution_lambda_27_loss: 2.5475 - val_distribution_lambda_28_loss: 0.5866\n",
+ "Epoch 53/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.5517 - distribution_lambda_26_loss: 4.2326 - distribution_lambda_27_loss: 2.7278 - distribution_lambda_28_loss: 0.5913 - val_loss: 7.1862 - val_distribution_lambda_26_loss: 4.0635 - val_distribution_lambda_27_loss: 2.5364 - val_distribution_lambda_28_loss: 0.5863\n",
+ "Epoch 54/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.6425 - distribution_lambda_26_loss: 4.2836 - distribution_lambda_27_loss: 2.7681 - distribution_lambda_28_loss: 0.5908 - val_loss: 7.1404 - val_distribution_lambda_26_loss: 4.0286 - val_distribution_lambda_27_loss: 2.5258 - val_distribution_lambda_28_loss: 0.5860\n",
+ "Epoch 55/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.4601 - distribution_lambda_26_loss: 4.1682 - distribution_lambda_27_loss: 2.7026 - distribution_lambda_28_loss: 0.5892 - val_loss: 7.0985 - val_distribution_lambda_26_loss: 3.9967 - val_distribution_lambda_27_loss: 2.5162 - val_distribution_lambda_28_loss: 0.5857\n",
+ "Epoch 56/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.5660 - distribution_lambda_26_loss: 4.2144 - distribution_lambda_27_loss: 2.7633 - distribution_lambda_28_loss: 0.5883 - val_loss: 7.0573 - val_distribution_lambda_26_loss: 3.9653 - val_distribution_lambda_27_loss: 2.5066 - val_distribution_lambda_28_loss: 0.5853\n",
+ "Epoch 57/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.4166 - distribution_lambda_26_loss: 4.1323 - distribution_lambda_27_loss: 2.6956 - distribution_lambda_28_loss: 0.5888 - val_loss: 7.0188 - val_distribution_lambda_26_loss: 3.9358 - val_distribution_lambda_27_loss: 2.4980 - val_distribution_lambda_28_loss: 0.5850\n",
+ "Epoch 58/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.4002 - distribution_lambda_26_loss: 4.1184 - distribution_lambda_27_loss: 2.6919 - distribution_lambda_28_loss: 0.5898 - val_loss: 6.9818 - val_distribution_lambda_26_loss: 3.9076 - val_distribution_lambda_27_loss: 2.4897 - val_distribution_lambda_28_loss: 0.5846\n",
+ "Epoch 59/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.2561 - distribution_lambda_26_loss: 4.0319 - distribution_lambda_27_loss: 2.6340 - distribution_lambda_28_loss: 0.5903 - val_loss: 6.9477 - val_distribution_lambda_26_loss: 3.8813 - val_distribution_lambda_27_loss: 2.4822 - val_distribution_lambda_28_loss: 0.5842\n",
+ "Epoch 60/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.2868 - distribution_lambda_26_loss: 4.0408 - distribution_lambda_27_loss: 2.6601 - distribution_lambda_28_loss: 0.5860 - val_loss: 6.9149 - val_distribution_lambda_26_loss: 3.8560 - val_distribution_lambda_27_loss: 2.4751 - val_distribution_lambda_28_loss: 0.5838\n",
+ "Epoch 61/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.3000 - distribution_lambda_26_loss: 4.0213 - distribution_lambda_27_loss: 2.6898 - distribution_lambda_28_loss: 0.5889 - val_loss: 6.8832 - val_distribution_lambda_26_loss: 3.8317 - val_distribution_lambda_27_loss: 2.4679 - val_distribution_lambda_28_loss: 0.5835\n",
+ "Epoch 62/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.1956 - distribution_lambda_26_loss: 3.9834 - distribution_lambda_27_loss: 2.6234 - distribution_lambda_28_loss: 0.5888 - val_loss: 6.8530 - val_distribution_lambda_26_loss: 3.8085 - val_distribution_lambda_27_loss: 2.4613 - val_distribution_lambda_28_loss: 0.5832\n",
+ "Epoch 63/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 7.2197 - distribution_lambda_26_loss: 3.9880 - distribution_lambda_27_loss: 2.6420 - distribution_lambda_28_loss: 0.5896 - val_loss: 6.8242 - val_distribution_lambda_26_loss: 3.7863 - val_distribution_lambda_27_loss: 2.4551 - val_distribution_lambda_28_loss: 0.5829\n",
+ "Epoch 64/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.1092 - distribution_lambda_26_loss: 3.9378 - distribution_lambda_27_loss: 2.5830 - distribution_lambda_28_loss: 0.5885 - val_loss: 6.7972 - val_distribution_lambda_26_loss: 3.7652 - val_distribution_lambda_27_loss: 2.4494 - val_distribution_lambda_28_loss: 0.5826\n",
+ "Epoch 65/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 7.1478 - distribution_lambda_26_loss: 3.9366 - distribution_lambda_27_loss: 2.6254 - distribution_lambda_28_loss: 0.5858 - val_loss: 6.7703 - val_distribution_lambda_26_loss: 3.7446 - val_distribution_lambda_27_loss: 2.4434 - val_distribution_lambda_28_loss: 0.5823\n",
+ "Epoch 66/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0493 - distribution_lambda_26_loss: 3.8773 - distribution_lambda_27_loss: 2.5851 - distribution_lambda_28_loss: 0.5868 - val_loss: 6.7449 - val_distribution_lambda_26_loss: 3.7250 - val_distribution_lambda_27_loss: 2.4378 - val_distribution_lambda_28_loss: 0.5820\n",
+ "Epoch 67/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0647 - distribution_lambda_26_loss: 3.8819 - distribution_lambda_27_loss: 2.5956 - distribution_lambda_28_loss: 0.5872 - val_loss: 6.7206 - val_distribution_lambda_26_loss: 3.7063 - val_distribution_lambda_27_loss: 2.4326 - val_distribution_lambda_28_loss: 0.5817\n",
+ "Epoch 68/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0555 - distribution_lambda_26_loss: 3.8600 - distribution_lambda_27_loss: 2.6108 - distribution_lambda_28_loss: 0.5847 - val_loss: 6.6969 - val_distribution_lambda_26_loss: 3.6883 - val_distribution_lambda_27_loss: 2.4272 - val_distribution_lambda_28_loss: 0.5814\n",
+ "Epoch 69/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0164 - distribution_lambda_26_loss: 3.8324 - distribution_lambda_27_loss: 2.5987 - distribution_lambda_28_loss: 0.5853 - val_loss: 6.6741 - val_distribution_lambda_26_loss: 3.6709 - val_distribution_lambda_27_loss: 2.4221 - val_distribution_lambda_28_loss: 0.5811\n",
+ "Epoch 70/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9047 - distribution_lambda_26_loss: 3.7708 - distribution_lambda_27_loss: 2.5491 - distribution_lambda_28_loss: 0.5848 - val_loss: 6.6527 - val_distribution_lambda_26_loss: 3.6546 - val_distribution_lambda_27_loss: 2.4172 - val_distribution_lambda_28_loss: 0.5808\n",
+ "Epoch 71/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9685 - distribution_lambda_26_loss: 3.7961 - distribution_lambda_27_loss: 2.5857 - distribution_lambda_28_loss: 0.5868 - val_loss: 6.6319 - val_distribution_lambda_26_loss: 3.6387 - val_distribution_lambda_27_loss: 2.4126 - val_distribution_lambda_28_loss: 0.5805\n",
+ "Epoch 72/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9546 - distribution_lambda_26_loss: 3.7851 - distribution_lambda_27_loss: 2.5878 - distribution_lambda_28_loss: 0.5817 - val_loss: 6.6116 - val_distribution_lambda_26_loss: 3.6232 - val_distribution_lambda_27_loss: 2.4082 - val_distribution_lambda_28_loss: 0.5802\n",
+ "Epoch 73/2500\n"
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- "Epoch 79/2000\n",
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- "8/8 [==============================] - 0s 6ms/step - loss: 1.8342 - distribution_lambda_10_loss: 0.1557 - distribution_lambda_11_loss: 1.2865 - distribution_lambda_12_loss: 0.3920 - val_loss: 1.7906 - val_distribution_lambda_10_loss: 0.0668 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 81/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8107 - distribution_lambda_10_loss: 0.1225 - distribution_lambda_11_loss: 1.2985 - distribution_lambda_12_loss: 0.3897 - val_loss: 1.7920 - val_distribution_lambda_10_loss: 0.0698 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 82/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8040 - distribution_lambda_10_loss: 0.1319 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3919 - val_loss: 1.7893 - val_distribution_lambda_10_loss: 0.0671 - val_distribution_lambda_11_loss: 1.3208 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 83/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9010 - distribution_lambda_10_loss: 0.1945 - distribution_lambda_11_loss: 1.3037 - distribution_lambda_12_loss: 0.4028 - val_loss: 1.7864 - val_distribution_lambda_10_loss: 0.0645 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 84/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8709 - distribution_lambda_10_loss: 0.2012 - distribution_lambda_11_loss: 1.2883 - distribution_lambda_12_loss: 0.3814 - val_loss: 1.7848 - val_distribution_lambda_10_loss: 0.0628 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 85/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8499 - distribution_lambda_10_loss: 0.1933 - distribution_lambda_11_loss: 1.2835 - distribution_lambda_12_loss: 0.3731 - val_loss: 1.7896 - val_distribution_lambda_10_loss: 0.0666 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 86/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8220 - distribution_lambda_10_loss: 0.1555 - distribution_lambda_11_loss: 1.2788 - distribution_lambda_12_loss: 0.3877 - val_loss: 1.7867 - val_distribution_lambda_10_loss: 0.0640 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 87/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9069 - distribution_lambda_10_loss: 0.2198 - distribution_lambda_11_loss: 1.2974 - distribution_lambda_12_loss: 0.3896 - val_loss: 1.7847 - val_distribution_lambda_10_loss: 0.0617 - val_distribution_lambda_11_loss: 1.3209 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 88/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8658 - distribution_lambda_10_loss: 0.1955 - distribution_lambda_11_loss: 1.2783 - distribution_lambda_12_loss: 0.3920 - val_loss: 1.7853 - val_distribution_lambda_10_loss: 0.0622 - val_distribution_lambda_11_loss: 1.3208 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 89/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8995 - distribution_lambda_10_loss: 0.2198 - distribution_lambda_11_loss: 1.2856 - distribution_lambda_12_loss: 0.3941 - val_loss: 1.7887 - val_distribution_lambda_10_loss: 0.0670 - val_distribution_lambda_11_loss: 1.3195 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 90/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8709 - distribution_lambda_10_loss: 0.1663 - distribution_lambda_11_loss: 1.3135 - distribution_lambda_12_loss: 0.3911 - val_loss: 1.7863 - val_distribution_lambda_10_loss: 0.0650 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4019\n",
- "Epoch 91/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8485 - distribution_lambda_10_loss: 0.1693 - distribution_lambda_11_loss: 1.2907 - distribution_lambda_12_loss: 0.3885 - val_loss: 1.7854 - val_distribution_lambda_10_loss: 0.0637 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 92/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8114 - distribution_lambda_10_loss: 0.1405 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3891 - val_loss: 1.7870 - val_distribution_lambda_10_loss: 0.0631 - val_distribution_lambda_11_loss: 1.3219 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 93/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8511 - distribution_lambda_10_loss: 0.1874 - distribution_lambda_11_loss: 1.2831 - distribution_lambda_12_loss: 0.3807 - val_loss: 1.7922 - val_distribution_lambda_10_loss: 0.0668 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 94/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8379 - distribution_lambda_10_loss: 0.1747 - distribution_lambda_11_loss: 1.2749 - distribution_lambda_12_loss: 0.3883 - val_loss: 1.7886 - val_distribution_lambda_10_loss: 0.0637 - val_distribution_lambda_11_loss: 1.3227 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 95/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8569 - distribution_lambda_10_loss: 0.1898 - distribution_lambda_11_loss: 1.2937 - distribution_lambda_12_loss: 0.3733 - val_loss: 1.7868 - val_distribution_lambda_10_loss: 0.0619 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4028\n",
- "Epoch 96/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8181 - distribution_lambda_10_loss: 0.1530 - distribution_lambda_11_loss: 1.2848 - distribution_lambda_12_loss: 0.3803 - val_loss: 1.7853 - val_distribution_lambda_10_loss: 0.0612 - val_distribution_lambda_11_loss: 1.3209 - val_distribution_lambda_12_loss: 0.4032\n",
- "Epoch 97/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8357 - distribution_lambda_26_loss: 3.7325 - distribution_lambda_27_loss: 2.5194 - distribution_lambda_28_loss: 0.5838 - val_loss: 6.5927 - val_distribution_lambda_26_loss: 3.6086 - val_distribution_lambda_27_loss: 2.4042 - val_distribution_lambda_28_loss: 0.5799\n",
+ "Epoch 74/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9220 - distribution_lambda_26_loss: 3.7512 - distribution_lambda_27_loss: 2.5882 - distribution_lambda_28_loss: 0.5826 - val_loss: 6.5738 - val_distribution_lambda_26_loss: 3.5942 - val_distribution_lambda_27_loss: 2.4000 - val_distribution_lambda_28_loss: 0.5796\n",
+ "Epoch 75/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8587 - distribution_lambda_26_loss: 3.7066 - distribution_lambda_27_loss: 2.5710 - distribution_lambda_28_loss: 0.5810 - val_loss: 6.5556 - val_distribution_lambda_26_loss: 3.5805 - val_distribution_lambda_27_loss: 2.3958 - val_distribution_lambda_28_loss: 0.5793\n",
+ "Epoch 76/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8373 - distribution_lambda_26_loss: 3.7023 - distribution_lambda_27_loss: 2.5557 - distribution_lambda_28_loss: 0.5793 - val_loss: 6.5377 - val_distribution_lambda_26_loss: 3.5670 - val_distribution_lambda_27_loss: 2.3917 - val_distribution_lambda_28_loss: 0.5790\n",
+ "Epoch 77/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.7754 - distribution_lambda_26_loss: 3.6723 - distribution_lambda_27_loss: 2.5190 - distribution_lambda_28_loss: 0.5840 - val_loss: 6.5206 - val_distribution_lambda_26_loss: 3.5541 - val_distribution_lambda_27_loss: 2.3878 - val_distribution_lambda_28_loss: 0.5787\n",
+ "Epoch 78/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8082 - distribution_lambda_26_loss: 3.6799 - distribution_lambda_27_loss: 2.5486 - distribution_lambda_28_loss: 0.5796 - val_loss: 6.5038 - val_distribution_lambda_26_loss: 3.5415 - val_distribution_lambda_27_loss: 2.3838 - val_distribution_lambda_28_loss: 0.5785\n",
+ "Epoch 79/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.8400 - distribution_lambda_26_loss: 3.6829 - distribution_lambda_27_loss: 2.5745 - distribution_lambda_28_loss: 0.5827 - val_loss: 6.4873 - val_distribution_lambda_26_loss: 3.5290 - val_distribution_lambda_27_loss: 2.3800 - val_distribution_lambda_28_loss: 0.5782\n",
+ "Epoch 80/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8222 - distribution_lambda_26_loss: 3.6521 - distribution_lambda_27_loss: 2.5914 - distribution_lambda_28_loss: 0.5787 - val_loss: 6.4712 - val_distribution_lambda_26_loss: 3.5171 - val_distribution_lambda_27_loss: 2.3760 - val_distribution_lambda_28_loss: 0.5780\n",
+ "Epoch 81/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.6748 - distribution_lambda_26_loss: 3.6043 - distribution_lambda_27_loss: 2.4888 - distribution_lambda_28_loss: 0.5817 - val_loss: 6.4562 - val_distribution_lambda_26_loss: 3.5057 - val_distribution_lambda_27_loss: 2.3727 - val_distribution_lambda_28_loss: 0.5778\n",
+ "Epoch 82/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6954 - distribution_lambda_26_loss: 3.6358 - distribution_lambda_27_loss: 2.4776 - distribution_lambda_28_loss: 0.5819 - val_loss: 6.4416 - val_distribution_lambda_26_loss: 3.4946 - val_distribution_lambda_27_loss: 2.3695 - val_distribution_lambda_28_loss: 0.5775\n",
+ "Epoch 83/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6958 - distribution_lambda_26_loss: 3.6084 - distribution_lambda_27_loss: 2.5088 - distribution_lambda_28_loss: 0.5786 - val_loss: 6.4276 - val_distribution_lambda_26_loss: 3.4838 - val_distribution_lambda_27_loss: 2.3665 - val_distribution_lambda_28_loss: 0.5773\n",
+ "Epoch 84/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6642 - distribution_lambda_26_loss: 3.6012 - distribution_lambda_27_loss: 2.4823 - distribution_lambda_28_loss: 0.5807 - val_loss: 6.4138 - val_distribution_lambda_26_loss: 3.4732 - val_distribution_lambda_27_loss: 2.3636 - val_distribution_lambda_28_loss: 0.5771\n",
+ "Epoch 85/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.6607 - distribution_lambda_26_loss: 3.5855 - distribution_lambda_27_loss: 2.4950 - distribution_lambda_28_loss: 0.5802 - val_loss: 6.4004 - val_distribution_lambda_26_loss: 3.4631 - val_distribution_lambda_27_loss: 2.3605 - val_distribution_lambda_28_loss: 0.5768\n",
+ "Epoch 86/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.6158 - distribution_lambda_26_loss: 3.5732 - distribution_lambda_27_loss: 2.4624 - distribution_lambda_28_loss: 0.5803 - val_loss: 6.3871 - val_distribution_lambda_26_loss: 3.4531 - val_distribution_lambda_27_loss: 2.3575 - val_distribution_lambda_28_loss: 0.5765\n",
+ "Epoch 87/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6540 - distribution_lambda_26_loss: 3.5599 - distribution_lambda_27_loss: 2.5137 - distribution_lambda_28_loss: 0.5804 - val_loss: 6.3742 - val_distribution_lambda_26_loss: 3.4434 - val_distribution_lambda_27_loss: 2.3545 - val_distribution_lambda_28_loss: 0.5763\n",
+ "Epoch 88/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6209 - distribution_lambda_26_loss: 3.5602 - distribution_lambda_27_loss: 2.4808 - distribution_lambda_28_loss: 0.5799 - val_loss: 6.3614 - val_distribution_lambda_26_loss: 3.4340 - val_distribution_lambda_27_loss: 2.3514 - val_distribution_lambda_28_loss: 0.5760\n",
+ "Epoch 89/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5930 - distribution_lambda_26_loss: 3.5228 - distribution_lambda_27_loss: 2.4925 - distribution_lambda_28_loss: 0.5778 - val_loss: 6.3490 - val_distribution_lambda_26_loss: 3.4249 - val_distribution_lambda_27_loss: 2.3482 - val_distribution_lambda_28_loss: 0.5758\n",
+ "Epoch 90/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5876 - distribution_lambda_26_loss: 3.5332 - distribution_lambda_27_loss: 2.4759 - distribution_lambda_28_loss: 0.5785 - val_loss: 6.3370 - val_distribution_lambda_26_loss: 3.4160 - val_distribution_lambda_27_loss: 2.3453 - val_distribution_lambda_28_loss: 0.5757\n",
+ "Epoch 91/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5707 - distribution_lambda_26_loss: 3.5098 - distribution_lambda_27_loss: 2.4839 - distribution_lambda_28_loss: 0.5770 - val_loss: 6.3253 - val_distribution_lambda_26_loss: 3.4073 - val_distribution_lambda_27_loss: 2.3425 - val_distribution_lambda_28_loss: 0.5755\n",
+ "Epoch 92/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5351 - distribution_lambda_26_loss: 3.4923 - distribution_lambda_27_loss: 2.4650 - distribution_lambda_28_loss: 0.5778 - val_loss: 6.3137 - val_distribution_lambda_26_loss: 3.3990 - val_distribution_lambda_27_loss: 2.3395 - val_distribution_lambda_28_loss: 0.5753\n",
+ "Epoch 93/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5455 - distribution_lambda_26_loss: 3.4892 - distribution_lambda_27_loss: 2.4786 - distribution_lambda_28_loss: 0.5777 - val_loss: 6.3023 - val_distribution_lambda_26_loss: 3.3907 - val_distribution_lambda_27_loss: 2.3364 - val_distribution_lambda_28_loss: 0.5751\n",
+ "Epoch 94/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4953 - distribution_lambda_26_loss: 3.4884 - distribution_lambda_27_loss: 2.4304 - distribution_lambda_28_loss: 0.5766 - val_loss: 6.2914 - val_distribution_lambda_26_loss: 3.3827 - val_distribution_lambda_27_loss: 2.3338 - val_distribution_lambda_28_loss: 0.5748\n",
+ "Epoch 95/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4939 - distribution_lambda_26_loss: 3.4717 - distribution_lambda_27_loss: 2.4445 - distribution_lambda_28_loss: 0.5778 - val_loss: 6.2807 - val_distribution_lambda_26_loss: 3.3749 - val_distribution_lambda_27_loss: 2.3311 - val_distribution_lambda_28_loss: 0.5747\n",
+ "Epoch 96/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5390 - distribution_lambda_26_loss: 3.4677 - distribution_lambda_27_loss: 2.4946 - distribution_lambda_28_loss: 0.5767 - val_loss: 6.2698 - val_distribution_lambda_26_loss: 3.3673 - val_distribution_lambda_27_loss: 2.3279 - val_distribution_lambda_28_loss: 0.5746\n",
+ "Epoch 97/2500\n"
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- "Epoch 98/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8441 - distribution_lambda_10_loss: 0.1689 - distribution_lambda_11_loss: 1.2935 - distribution_lambda_12_loss: 0.3817 - val_loss: 1.7912 - val_distribution_lambda_10_loss: 0.0671 - val_distribution_lambda_11_loss: 1.3208 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 99/2000\n",
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- "Epoch 100/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8102 - distribution_lambda_10_loss: 0.1351 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3934 - val_loss: 1.7965 - val_distribution_lambda_10_loss: 0.0694 - val_distribution_lambda_11_loss: 1.3240 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 101/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8485 - distribution_lambda_10_loss: 0.1700 - distribution_lambda_11_loss: 1.2973 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7971 - val_distribution_lambda_10_loss: 0.0695 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 102/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8206 - distribution_lambda_10_loss: 0.1577 - distribution_lambda_11_loss: 1.2782 - distribution_lambda_12_loss: 0.3847 - val_loss: 1.7965 - val_distribution_lambda_10_loss: 0.0679 - val_distribution_lambda_11_loss: 1.3263 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 103/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8015 - distribution_lambda_10_loss: 0.1639 - distribution_lambda_11_loss: 1.2674 - distribution_lambda_12_loss: 0.3702 - val_loss: 1.7977 - val_distribution_lambda_10_loss: 0.0715 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 104/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8086 - distribution_lambda_10_loss: 0.1523 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3745 - val_loss: 1.7905 - val_distribution_lambda_10_loss: 0.0652 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 105/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8512 - distribution_lambda_10_loss: 0.1881 - distribution_lambda_11_loss: 1.2830 - distribution_lambda_12_loss: 0.3801 - val_loss: 1.7892 - val_distribution_lambda_10_loss: 0.0645 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 106/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8819 - distribution_lambda_10_loss: 0.2137 - distribution_lambda_11_loss: 1.2859 - distribution_lambda_12_loss: 0.3824 - val_loss: 1.7918 - val_distribution_lambda_10_loss: 0.0664 - val_distribution_lambda_11_loss: 1.3244 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 107/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8809 - distribution_lambda_10_loss: 0.1848 - distribution_lambda_11_loss: 1.3027 - distribution_lambda_12_loss: 0.3934 - val_loss: 1.7901 - val_distribution_lambda_10_loss: 0.0654 - val_distribution_lambda_11_loss: 1.3236 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 108/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7808 - distribution_lambda_10_loss: 0.1370 - distribution_lambda_11_loss: 1.2719 - distribution_lambda_12_loss: 0.3719 - val_loss: 1.7877 - val_distribution_lambda_10_loss: 0.0670 - val_distribution_lambda_11_loss: 1.3200 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 109/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8839 - distribution_lambda_10_loss: 0.2063 - distribution_lambda_11_loss: 1.2862 - distribution_lambda_12_loss: 0.3913 - val_loss: 1.7844 - val_distribution_lambda_10_loss: 0.0637 - val_distribution_lambda_11_loss: 1.3200 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 110/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8191 - distribution_lambda_10_loss: 0.1631 - distribution_lambda_11_loss: 1.2776 - distribution_lambda_12_loss: 0.3784 - val_loss: 1.7816 - val_distribution_lambda_10_loss: 0.0605 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 111/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8627 - distribution_lambda_10_loss: 0.1971 - distribution_lambda_11_loss: 1.2905 - distribution_lambda_12_loss: 0.3751 - val_loss: 1.7849 - val_distribution_lambda_10_loss: 0.0622 - val_distribution_lambda_11_loss: 1.3218 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 112/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8126 - distribution_lambda_10_loss: 0.1551 - distribution_lambda_11_loss: 1.2751 - distribution_lambda_12_loss: 0.3824 - val_loss: 1.7825 - val_distribution_lambda_10_loss: 0.0595 - val_distribution_lambda_11_loss: 1.3217 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 113/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8131 - distribution_lambda_10_loss: 0.1537 - distribution_lambda_11_loss: 1.2771 - distribution_lambda_12_loss: 0.3823 - val_loss: 1.7805 - val_distribution_lambda_10_loss: 0.0579 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 114/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8191 - distribution_lambda_10_loss: 0.1577 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7792 - val_distribution_lambda_10_loss: 0.0564 - val_distribution_lambda_11_loss: 1.3214 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 115/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8556 - distribution_lambda_10_loss: 0.1868 - distribution_lambda_11_loss: 1.2856 - distribution_lambda_12_loss: 0.3832 - val_loss: 1.7809 - val_distribution_lambda_10_loss: 0.0566 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 116/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8112 - distribution_lambda_10_loss: 0.1534 - distribution_lambda_11_loss: 1.2796 - distribution_lambda_12_loss: 0.3781 - val_loss: 1.7812 - val_distribution_lambda_10_loss: 0.0555 - val_distribution_lambda_11_loss: 1.3246 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 117/2000\n",
- "8/8 [==============================] - 0s 8ms/step - loss: 1.8001 - distribution_lambda_10_loss: 0.1347 - distribution_lambda_11_loss: 1.2840 - distribution_lambda_12_loss: 0.3814 - val_loss: 1.7787 - val_distribution_lambda_10_loss: 0.0546 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 118/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8071 - distribution_lambda_10_loss: 0.1392 - distribution_lambda_11_loss: 1.2728 - distribution_lambda_12_loss: 0.3951 - val_loss: 1.7730 - val_distribution_lambda_10_loss: 0.0492 - val_distribution_lambda_11_loss: 1.3226 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 119/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.7588 - distribution_lambda_10_loss: 0.1120 - distribution_lambda_11_loss: 1.2747 - distribution_lambda_12_loss: 0.3721 - val_loss: 1.7684 - val_distribution_lambda_10_loss: 0.0477 - val_distribution_lambda_11_loss: 1.3197 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 120/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8741 - distribution_lambda_10_loss: 0.1735 - distribution_lambda_11_loss: 1.3038 - distribution_lambda_12_loss: 0.3968 - val_loss: 1.7695 - val_distribution_lambda_10_loss: 0.0486 - val_distribution_lambda_11_loss: 1.3199 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 121/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5053 - distribution_lambda_26_loss: 3.4508 - distribution_lambda_27_loss: 2.4788 - distribution_lambda_28_loss: 0.5757 - val_loss: 6.2593 - val_distribution_lambda_26_loss: 3.3599 - val_distribution_lambda_27_loss: 2.3249 - val_distribution_lambda_28_loss: 0.5744\n",
+ "Epoch 98/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4582 - distribution_lambda_26_loss: 3.4334 - distribution_lambda_27_loss: 2.4484 - distribution_lambda_28_loss: 0.5763 - val_loss: 6.2490 - val_distribution_lambda_26_loss: 3.3528 - val_distribution_lambda_27_loss: 2.3219 - val_distribution_lambda_28_loss: 0.5743\n",
+ "Epoch 99/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4362 - distribution_lambda_26_loss: 3.4256 - distribution_lambda_27_loss: 2.4321 - distribution_lambda_28_loss: 0.5785 - val_loss: 6.2392 - val_distribution_lambda_26_loss: 3.3458 - val_distribution_lambda_27_loss: 2.3192 - val_distribution_lambda_28_loss: 0.5741\n",
+ "Epoch 100/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3701 - distribution_lambda_26_loss: 3.4155 - distribution_lambda_27_loss: 2.3779 - distribution_lambda_28_loss: 0.5767 - val_loss: 6.2296 - val_distribution_lambda_26_loss: 3.3389 - val_distribution_lambda_27_loss: 2.3167 - val_distribution_lambda_28_loss: 0.5740\n",
+ "Epoch 101/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4250 - distribution_lambda_26_loss: 3.4243 - distribution_lambda_27_loss: 2.4247 - distribution_lambda_28_loss: 0.5760 - val_loss: 6.2199 - val_distribution_lambda_26_loss: 3.3320 - val_distribution_lambda_27_loss: 2.3141 - val_distribution_lambda_28_loss: 0.5738\n",
+ "Epoch 102/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4525 - distribution_lambda_26_loss: 3.4184 - distribution_lambda_27_loss: 2.4600 - distribution_lambda_28_loss: 0.5741 - val_loss: 6.2103 - val_distribution_lambda_26_loss: 3.3253 - val_distribution_lambda_27_loss: 2.3113 - val_distribution_lambda_28_loss: 0.5736\n",
+ "Epoch 103/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4002 - distribution_lambda_26_loss: 3.4002 - distribution_lambda_27_loss: 2.4233 - distribution_lambda_28_loss: 0.5767 - val_loss: 6.2007 - val_distribution_lambda_26_loss: 3.3187 - val_distribution_lambda_27_loss: 2.3085 - val_distribution_lambda_28_loss: 0.5735\n",
+ "Epoch 104/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3744 - distribution_lambda_26_loss: 3.3859 - distribution_lambda_27_loss: 2.4140 - distribution_lambda_28_loss: 0.5745 - val_loss: 6.1915 - val_distribution_lambda_26_loss: 3.3124 - val_distribution_lambda_27_loss: 2.3058 - val_distribution_lambda_28_loss: 0.5734\n",
+ "Epoch 105/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3603 - distribution_lambda_26_loss: 3.3772 - distribution_lambda_27_loss: 2.4061 - distribution_lambda_28_loss: 0.5770 - val_loss: 6.1826 - val_distribution_lambda_26_loss: 3.3063 - val_distribution_lambda_27_loss: 2.3031 - val_distribution_lambda_28_loss: 0.5732\n",
+ "Epoch 106/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3977 - distribution_lambda_26_loss: 3.4049 - distribution_lambda_27_loss: 2.4182 - distribution_lambda_28_loss: 0.5746 - val_loss: 6.1735 - val_distribution_lambda_26_loss: 3.3000 - val_distribution_lambda_27_loss: 2.3005 - val_distribution_lambda_28_loss: 0.5730\n",
+ "Epoch 107/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3382 - distribution_lambda_26_loss: 3.3856 - distribution_lambda_27_loss: 2.3786 - distribution_lambda_28_loss: 0.5740 - val_loss: 6.1645 - val_distribution_lambda_26_loss: 3.2939 - val_distribution_lambda_27_loss: 2.2978 - val_distribution_lambda_28_loss: 0.5728\n",
+ "Epoch 108/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 6.3401 - distribution_lambda_26_loss: 3.3849 - distribution_lambda_27_loss: 2.3806 - distribution_lambda_28_loss: 0.5746 - val_loss: 6.1558 - val_distribution_lambda_26_loss: 3.2879 - val_distribution_lambda_27_loss: 2.2952 - val_distribution_lambda_28_loss: 0.5726\n",
+ "Epoch 109/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3294 - distribution_lambda_26_loss: 3.3572 - distribution_lambda_27_loss: 2.3981 - distribution_lambda_28_loss: 0.5741 - val_loss: 6.1471 - val_distribution_lambda_26_loss: 3.2821 - val_distribution_lambda_27_loss: 2.2926 - val_distribution_lambda_28_loss: 0.5725\n",
+ "Epoch 110/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3046 - distribution_lambda_26_loss: 3.3532 - distribution_lambda_27_loss: 2.3763 - distribution_lambda_28_loss: 0.5751 - val_loss: 6.1385 - val_distribution_lambda_26_loss: 3.2763 - val_distribution_lambda_27_loss: 2.2900 - val_distribution_lambda_28_loss: 0.5722\n",
+ "Epoch 111/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2776 - distribution_lambda_26_loss: 3.3557 - distribution_lambda_27_loss: 2.3471 - distribution_lambda_28_loss: 0.5748 - val_loss: 6.1301 - val_distribution_lambda_26_loss: 3.2707 - val_distribution_lambda_27_loss: 2.2873 - val_distribution_lambda_28_loss: 0.5721\n",
+ "Epoch 112/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2688 - distribution_lambda_26_loss: 3.3376 - distribution_lambda_27_loss: 2.3592 - distribution_lambda_28_loss: 0.5720 - val_loss: 6.1219 - val_distribution_lambda_26_loss: 3.2653 - val_distribution_lambda_27_loss: 2.2848 - val_distribution_lambda_28_loss: 0.5719\n",
+ "Epoch 113/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2774 - distribution_lambda_26_loss: 3.3282 - distribution_lambda_27_loss: 2.3749 - distribution_lambda_28_loss: 0.5743 - val_loss: 6.1137 - val_distribution_lambda_26_loss: 3.2599 - val_distribution_lambda_27_loss: 2.2821 - val_distribution_lambda_28_loss: 0.5717\n",
+ "Epoch 114/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2866 - distribution_lambda_26_loss: 3.3389 - distribution_lambda_27_loss: 2.3759 - distribution_lambda_28_loss: 0.5718 - val_loss: 6.1055 - val_distribution_lambda_26_loss: 3.2546 - val_distribution_lambda_27_loss: 2.2794 - val_distribution_lambda_28_loss: 0.5715\n",
+ "Epoch 115/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2735 - distribution_lambda_26_loss: 3.3219 - distribution_lambda_27_loss: 2.3752 - distribution_lambda_28_loss: 0.5764 - val_loss: 6.0975 - val_distribution_lambda_26_loss: 3.2493 - val_distribution_lambda_27_loss: 2.2768 - val_distribution_lambda_28_loss: 0.5713\n",
+ "Epoch 116/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2745 - distribution_lambda_26_loss: 3.3024 - distribution_lambda_27_loss: 2.3987 - distribution_lambda_28_loss: 0.5734 - val_loss: 6.0894 - val_distribution_lambda_26_loss: 3.2443 - val_distribution_lambda_27_loss: 2.2739 - val_distribution_lambda_28_loss: 0.5712\n",
+ "Epoch 117/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2611 - distribution_lambda_26_loss: 3.3117 - distribution_lambda_27_loss: 2.3754 - distribution_lambda_28_loss: 0.5740 - val_loss: 6.0815 - val_distribution_lambda_26_loss: 3.2393 - val_distribution_lambda_27_loss: 2.2711 - val_distribution_lambda_28_loss: 0.5710\n",
+ "Epoch 118/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2662 - distribution_lambda_26_loss: 3.3111 - distribution_lambda_27_loss: 2.3817 - distribution_lambda_28_loss: 0.5734 - val_loss: 6.0734 - val_distribution_lambda_26_loss: 3.2344 - val_distribution_lambda_27_loss: 2.2681 - val_distribution_lambda_28_loss: 0.5708\n",
+ "Epoch 119/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2177 - distribution_lambda_26_loss: 3.2944 - distribution_lambda_27_loss: 2.3522 - distribution_lambda_28_loss: 0.5711 - val_loss: 6.0654 - val_distribution_lambda_26_loss: 3.2296 - val_distribution_lambda_27_loss: 2.2652 - val_distribution_lambda_28_loss: 0.5707\n",
+ "Epoch 120/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1789 - distribution_lambda_26_loss: 3.2795 - distribution_lambda_27_loss: 2.3245 - distribution_lambda_28_loss: 0.5749 - val_loss: 6.0578 - val_distribution_lambda_26_loss: 3.2249 - val_distribution_lambda_27_loss: 2.2624 - val_distribution_lambda_28_loss: 0.5705\n",
+ "Epoch 121/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7872 - distribution_lambda_10_loss: 0.1427 - distribution_lambda_11_loss: 1.2548 - distribution_lambda_12_loss: 0.3897 - val_loss: 1.7685 - val_distribution_lambda_10_loss: 0.0469 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 122/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7543 - distribution_lambda_10_loss: 0.1276 - distribution_lambda_11_loss: 1.2538 - distribution_lambda_12_loss: 0.3729 - val_loss: 1.7667 - val_distribution_lambda_10_loss: 0.0450 - val_distribution_lambda_11_loss: 1.3202 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 123/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8084 - distribution_lambda_10_loss: 0.1572 - distribution_lambda_11_loss: 1.2659 - distribution_lambda_12_loss: 0.3853 - val_loss: 1.7706 - val_distribution_lambda_10_loss: 0.0485 - val_distribution_lambda_11_loss: 1.3202 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 124/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7614 - distribution_lambda_10_loss: 0.1215 - distribution_lambda_11_loss: 1.2620 - distribution_lambda_12_loss: 0.3780 - val_loss: 1.7694 - val_distribution_lambda_10_loss: 0.0461 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 125/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8635 - distribution_lambda_10_loss: 0.1554 - distribution_lambda_11_loss: 1.3163 - distribution_lambda_12_loss: 0.3919 - val_loss: 1.7730 - val_distribution_lambda_10_loss: 0.0472 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 126/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8348 - distribution_lambda_10_loss: 0.1485 - distribution_lambda_11_loss: 1.2862 - distribution_lambda_12_loss: 0.4001 - val_loss: 1.7758 - val_distribution_lambda_10_loss: 0.0474 - val_distribution_lambda_11_loss: 1.3262 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 127/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8405 - distribution_lambda_10_loss: 0.1733 - distribution_lambda_11_loss: 1.2914 - distribution_lambda_12_loss: 0.3758 - val_loss: 1.7689 - val_distribution_lambda_10_loss: 0.0458 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 128/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8528 - distribution_lambda_10_loss: 0.1715 - distribution_lambda_11_loss: 1.2847 - distribution_lambda_12_loss: 0.3967 - val_loss: 1.7710 - val_distribution_lambda_10_loss: 0.0491 - val_distribution_lambda_11_loss: 1.3207 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 129/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8102 - distribution_lambda_10_loss: 0.1231 - distribution_lambda_11_loss: 1.3009 - distribution_lambda_12_loss: 0.3862 - val_loss: 1.7688 - val_distribution_lambda_10_loss: 0.0458 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 130/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8891 - distribution_lambda_10_loss: 0.2059 - distribution_lambda_11_loss: 1.3031 - distribution_lambda_12_loss: 0.3801 - val_loss: 1.7754 - val_distribution_lambda_10_loss: 0.0500 - val_distribution_lambda_11_loss: 1.3242 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 131/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8175 - distribution_lambda_10_loss: 0.1500 - distribution_lambda_11_loss: 1.2771 - distribution_lambda_12_loss: 0.3904 - val_loss: 1.7794 - val_distribution_lambda_10_loss: 0.0540 - val_distribution_lambda_11_loss: 1.3241 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 132/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8509 - distribution_lambda_10_loss: 0.1692 - distribution_lambda_11_loss: 1.2942 - distribution_lambda_12_loss: 0.3876 - val_loss: 1.7774 - val_distribution_lambda_10_loss: 0.0544 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 133/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9936 - distribution_lambda_10_loss: 0.3206 - distribution_lambda_11_loss: 1.2865 - distribution_lambda_12_loss: 0.3865 - val_loss: 1.7785 - val_distribution_lambda_10_loss: 0.0559 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 134/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7681 - distribution_lambda_10_loss: 0.1199 - distribution_lambda_11_loss: 1.2657 - distribution_lambda_12_loss: 0.3825 - val_loss: 1.7800 - val_distribution_lambda_10_loss: 0.0563 - val_distribution_lambda_11_loss: 1.3225 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 135/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7981 - distribution_lambda_10_loss: 0.1456 - distribution_lambda_11_loss: 1.2697 - distribution_lambda_12_loss: 0.3829 - val_loss: 1.7817 - val_distribution_lambda_10_loss: 0.0573 - val_distribution_lambda_11_loss: 1.3230 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 136/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8357 - distribution_lambda_10_loss: 0.1591 - distribution_lambda_11_loss: 1.2832 - distribution_lambda_12_loss: 0.3934 - val_loss: 1.7734 - val_distribution_lambda_10_loss: 0.0492 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 137/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8280 - distribution_lambda_10_loss: 0.1574 - distribution_lambda_11_loss: 1.2941 - distribution_lambda_12_loss: 0.3765 - val_loss: 1.7736 - val_distribution_lambda_10_loss: 0.0494 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 138/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8293 - distribution_lambda_10_loss: 0.1611 - distribution_lambda_11_loss: 1.2917 - distribution_lambda_12_loss: 0.3765 - val_loss: 1.7752 - val_distribution_lambda_10_loss: 0.0501 - val_distribution_lambda_11_loss: 1.3236 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 139/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7807 - distribution_lambda_10_loss: 0.1224 - distribution_lambda_11_loss: 1.2775 - distribution_lambda_12_loss: 0.3808 - val_loss: 1.7705 - val_distribution_lambda_10_loss: 0.0469 - val_distribution_lambda_11_loss: 1.3220 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 140/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7626 - distribution_lambda_10_loss: 0.1279 - distribution_lambda_11_loss: 1.2612 - distribution_lambda_12_loss: 0.3735 - val_loss: 1.7686 - val_distribution_lambda_10_loss: 0.0434 - val_distribution_lambda_11_loss: 1.3230 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 141/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7539 - distribution_lambda_10_loss: 0.1159 - distribution_lambda_11_loss: 1.2620 - distribution_lambda_12_loss: 0.3760 - val_loss: 1.7737 - val_distribution_lambda_10_loss: 0.0467 - val_distribution_lambda_11_loss: 1.3245 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 142/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8087 - distribution_lambda_10_loss: 0.1690 - distribution_lambda_11_loss: 1.2720 - distribution_lambda_12_loss: 0.3677 - val_loss: 1.7672 - val_distribution_lambda_10_loss: 0.0433 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 143/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8890 - distribution_lambda_10_loss: 0.1814 - distribution_lambda_11_loss: 1.3111 - distribution_lambda_12_loss: 0.3964 - val_loss: 1.7651 - val_distribution_lambda_10_loss: 0.0406 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 144/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7434 - distribution_lambda_10_loss: 0.1065 - distribution_lambda_11_loss: 1.2570 - distribution_lambda_12_loss: 0.3799 - val_loss: 1.7688 - val_distribution_lambda_10_loss: 0.0434 - val_distribution_lambda_11_loss: 1.3235 - val_distribution_lambda_12_loss: 0.4019\n",
- "Epoch 145/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1763 - distribution_lambda_26_loss: 3.2829 - distribution_lambda_27_loss: 2.3200 - distribution_lambda_28_loss: 0.5734 - val_loss: 6.0500 - val_distribution_lambda_26_loss: 3.2203 - val_distribution_lambda_27_loss: 2.2593 - val_distribution_lambda_28_loss: 0.5703\n",
+ "Epoch 122/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2184 - distribution_lambda_26_loss: 3.2996 - distribution_lambda_27_loss: 2.3482 - distribution_lambda_28_loss: 0.5706 - val_loss: 6.0421 - val_distribution_lambda_26_loss: 3.2157 - val_distribution_lambda_27_loss: 2.2563 - val_distribution_lambda_28_loss: 0.5702\n",
+ "Epoch 123/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2204 - distribution_lambda_26_loss: 3.2970 - distribution_lambda_27_loss: 2.3538 - distribution_lambda_28_loss: 0.5695 - val_loss: 6.0344 - val_distribution_lambda_26_loss: 3.2111 - val_distribution_lambda_27_loss: 2.2533 - val_distribution_lambda_28_loss: 0.5700\n",
+ "Epoch 124/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1525 - distribution_lambda_26_loss: 3.2630 - distribution_lambda_27_loss: 2.3157 - distribution_lambda_28_loss: 0.5739 - val_loss: 6.0268 - val_distribution_lambda_26_loss: 3.2066 - val_distribution_lambda_27_loss: 2.2503 - val_distribution_lambda_28_loss: 0.5699\n",
+ "Epoch 125/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1438 - distribution_lambda_26_loss: 3.2643 - distribution_lambda_27_loss: 2.3068 - distribution_lambda_28_loss: 0.5728 - val_loss: 6.0193 - val_distribution_lambda_26_loss: 3.2023 - val_distribution_lambda_27_loss: 2.2473 - val_distribution_lambda_28_loss: 0.5697\n",
+ "Epoch 126/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1700 - distribution_lambda_26_loss: 3.2618 - distribution_lambda_27_loss: 2.3394 - distribution_lambda_28_loss: 0.5689 - val_loss: 6.0116 - val_distribution_lambda_26_loss: 3.1980 - val_distribution_lambda_27_loss: 2.2440 - val_distribution_lambda_28_loss: 0.5695\n",
+ "Epoch 127/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1289 - distribution_lambda_26_loss: 3.2549 - distribution_lambda_27_loss: 2.3017 - distribution_lambda_28_loss: 0.5723 - val_loss: 6.0040 - val_distribution_lambda_26_loss: 3.1938 - val_distribution_lambda_27_loss: 2.2408 - val_distribution_lambda_28_loss: 0.5693\n",
+ "Epoch 128/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1165 - distribution_lambda_26_loss: 3.2462 - distribution_lambda_27_loss: 2.2996 - distribution_lambda_28_loss: 0.5706 - val_loss: 5.9966 - val_distribution_lambda_26_loss: 3.1897 - val_distribution_lambda_27_loss: 2.2378 - val_distribution_lambda_28_loss: 0.5691\n",
+ "Epoch 129/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1276 - distribution_lambda_26_loss: 3.2485 - distribution_lambda_27_loss: 2.3105 - distribution_lambda_28_loss: 0.5687 - val_loss: 5.9888 - val_distribution_lambda_26_loss: 3.1856 - val_distribution_lambda_27_loss: 2.2343 - val_distribution_lambda_28_loss: 0.5689\n",
+ "Epoch 130/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1094 - distribution_lambda_26_loss: 3.2358 - distribution_lambda_27_loss: 2.3020 - distribution_lambda_28_loss: 0.5716 - val_loss: 5.9815 - val_distribution_lambda_26_loss: 3.1815 - val_distribution_lambda_27_loss: 2.2312 - val_distribution_lambda_28_loss: 0.5687\n",
+ "Epoch 131/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0963 - distribution_lambda_26_loss: 3.2302 - distribution_lambda_27_loss: 2.2980 - distribution_lambda_28_loss: 0.5681 - val_loss: 5.9740 - val_distribution_lambda_26_loss: 3.1776 - val_distribution_lambda_27_loss: 2.2278 - val_distribution_lambda_28_loss: 0.5686\n",
+ "Epoch 132/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1378 - distribution_lambda_26_loss: 3.2399 - distribution_lambda_27_loss: 2.3273 - distribution_lambda_28_loss: 0.5705 - val_loss: 5.9663 - val_distribution_lambda_26_loss: 3.1736 - val_distribution_lambda_27_loss: 2.2242 - val_distribution_lambda_28_loss: 0.5685\n",
+ "Epoch 133/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0720 - distribution_lambda_26_loss: 3.2271 - distribution_lambda_27_loss: 2.2748 - distribution_lambda_28_loss: 0.5701 - val_loss: 5.9588 - val_distribution_lambda_26_loss: 3.1697 - val_distribution_lambda_27_loss: 2.2208 - val_distribution_lambda_28_loss: 0.5683\n",
+ "Epoch 134/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0585 - distribution_lambda_26_loss: 3.2114 - distribution_lambda_27_loss: 2.2756 - distribution_lambda_28_loss: 0.5715 - val_loss: 5.9513 - val_distribution_lambda_26_loss: 3.1659 - val_distribution_lambda_27_loss: 2.2173 - val_distribution_lambda_28_loss: 0.5680\n",
+ "Epoch 135/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0802 - distribution_lambda_26_loss: 3.2205 - distribution_lambda_27_loss: 2.2904 - distribution_lambda_28_loss: 0.5693 - val_loss: 5.9435 - val_distribution_lambda_26_loss: 3.1622 - val_distribution_lambda_27_loss: 2.2135 - val_distribution_lambda_28_loss: 0.5678\n",
+ "Epoch 136/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0524 - distribution_lambda_26_loss: 3.2046 - distribution_lambda_27_loss: 2.2800 - distribution_lambda_28_loss: 0.5678 - val_loss: 5.9357 - val_distribution_lambda_26_loss: 3.1585 - val_distribution_lambda_27_loss: 2.2097 - val_distribution_lambda_28_loss: 0.5676\n",
+ "Epoch 137/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0519 - distribution_lambda_26_loss: 3.2057 - distribution_lambda_27_loss: 2.2789 - distribution_lambda_28_loss: 0.5674 - val_loss: 5.9281 - val_distribution_lambda_26_loss: 3.1548 - val_distribution_lambda_27_loss: 2.2060 - val_distribution_lambda_28_loss: 0.5673\n",
+ "Epoch 138/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.0541 - distribution_lambda_26_loss: 3.2116 - distribution_lambda_27_loss: 2.2741 - distribution_lambda_28_loss: 0.5683 - val_loss: 5.9210 - val_distribution_lambda_26_loss: 3.1512 - val_distribution_lambda_27_loss: 2.2027 - val_distribution_lambda_28_loss: 0.5671\n",
+ "Epoch 139/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0206 - distribution_lambda_26_loss: 3.1984 - distribution_lambda_27_loss: 2.2549 - distribution_lambda_28_loss: 0.5672 - val_loss: 5.9139 - val_distribution_lambda_26_loss: 3.1476 - val_distribution_lambda_27_loss: 2.1995 - val_distribution_lambda_28_loss: 0.5668\n",
+ "Epoch 140/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0170 - distribution_lambda_26_loss: 3.1888 - distribution_lambda_27_loss: 2.2614 - distribution_lambda_28_loss: 0.5668 - val_loss: 5.9066 - val_distribution_lambda_26_loss: 3.1441 - val_distribution_lambda_27_loss: 2.1960 - val_distribution_lambda_28_loss: 0.5666\n",
+ "Epoch 141/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.0386 - distribution_lambda_26_loss: 3.1943 - distribution_lambda_27_loss: 2.2723 - distribution_lambda_28_loss: 0.5720 - val_loss: 5.8994 - val_distribution_lambda_26_loss: 3.1406 - val_distribution_lambda_27_loss: 2.1924 - val_distribution_lambda_28_loss: 0.5664\n",
+ "Epoch 142/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0554 - distribution_lambda_26_loss: 3.1947 - distribution_lambda_27_loss: 2.2904 - distribution_lambda_28_loss: 0.5703 - val_loss: 5.8917 - val_distribution_lambda_26_loss: 3.1371 - val_distribution_lambda_27_loss: 2.1883 - val_distribution_lambda_28_loss: 0.5662\n",
+ "Epoch 143/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0379 - distribution_lambda_26_loss: 3.1952 - distribution_lambda_27_loss: 2.2752 - distribution_lambda_28_loss: 0.5676 - val_loss: 5.8843 - val_distribution_lambda_26_loss: 3.1336 - val_distribution_lambda_27_loss: 2.1846 - val_distribution_lambda_28_loss: 0.5660\n",
+ "Epoch 144/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.0120 - distribution_lambda_26_loss: 3.1776 - distribution_lambda_27_loss: 2.2673 - distribution_lambda_28_loss: 0.5670 - val_loss: 5.8769 - val_distribution_lambda_26_loss: 3.1302 - val_distribution_lambda_27_loss: 2.1809 - val_distribution_lambda_28_loss: 0.5657\n",
+ "Epoch 145/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9026 - distribution_lambda_10_loss: 0.1851 - distribution_lambda_11_loss: 1.3117 - distribution_lambda_12_loss: 0.4058 - val_loss: 1.7678 - val_distribution_lambda_10_loss: 0.0409 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4018\n",
- "Epoch 146/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9173 - distribution_lambda_10_loss: 0.2509 - distribution_lambda_11_loss: 1.2782 - distribution_lambda_12_loss: 0.3881 - val_loss: 1.7706 - val_distribution_lambda_10_loss: 0.0452 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 147/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8673 - distribution_lambda_10_loss: 0.1925 - distribution_lambda_11_loss: 1.2942 - distribution_lambda_12_loss: 0.3806 - val_loss: 1.7733 - val_distribution_lambda_10_loss: 0.0499 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 148/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9355 - distribution_lambda_10_loss: 0.2289 - distribution_lambda_11_loss: 1.3102 - distribution_lambda_12_loss: 0.3963 - val_loss: 1.7783 - val_distribution_lambda_10_loss: 0.0524 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 149/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8480 - distribution_lambda_10_loss: 0.1732 - distribution_lambda_11_loss: 1.2957 - distribution_lambda_12_loss: 0.3792 - val_loss: 1.7733 - val_distribution_lambda_10_loss: 0.0514 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 150/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8192 - distribution_lambda_10_loss: 0.1623 - distribution_lambda_11_loss: 1.2743 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7684 - val_distribution_lambda_10_loss: 0.0483 - val_distribution_lambda_11_loss: 1.3197 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 151/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8271 - distribution_lambda_10_loss: 0.1508 - distribution_lambda_11_loss: 1.2855 - distribution_lambda_12_loss: 0.3908 - val_loss: 1.7673 - val_distribution_lambda_10_loss: 0.0464 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 152/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9055 - distribution_lambda_10_loss: 0.2284 - distribution_lambda_11_loss: 1.2989 - distribution_lambda_12_loss: 0.3783 - val_loss: 1.7675 - val_distribution_lambda_10_loss: 0.0475 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 153/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8438 - distribution_lambda_10_loss: 0.1931 - distribution_lambda_11_loss: 1.2781 - distribution_lambda_12_loss: 0.3726 - val_loss: 1.7755 - val_distribution_lambda_10_loss: 0.0539 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 154/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9227 - distribution_lambda_10_loss: 0.2228 - distribution_lambda_11_loss: 1.3076 - distribution_lambda_12_loss: 0.3923 - val_loss: 1.7836 - val_distribution_lambda_10_loss: 0.0563 - val_distribution_lambda_11_loss: 1.3263 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 155/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8552 - distribution_lambda_10_loss: 0.1702 - distribution_lambda_11_loss: 1.2908 - distribution_lambda_12_loss: 0.3942 - val_loss: 1.7827 - val_distribution_lambda_10_loss: 0.0553 - val_distribution_lambda_11_loss: 1.3261 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 156/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9134 - distribution_lambda_10_loss: 0.2245 - distribution_lambda_11_loss: 1.2859 - distribution_lambda_12_loss: 0.4031 - val_loss: 1.7759 - val_distribution_lambda_10_loss: 0.0512 - val_distribution_lambda_11_loss: 1.3227 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 157/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7977 - distribution_lambda_10_loss: 0.1489 - distribution_lambda_11_loss: 1.2699 - distribution_lambda_12_loss: 0.3789 - val_loss: 1.7761 - val_distribution_lambda_10_loss: 0.0524 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 158/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8026 - distribution_lambda_10_loss: 0.1501 - distribution_lambda_11_loss: 1.2766 - distribution_lambda_12_loss: 0.3759 - val_loss: 1.7749 - val_distribution_lambda_10_loss: 0.0528 - val_distribution_lambda_11_loss: 1.3198 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 159/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7559 - distribution_lambda_10_loss: 0.1006 - distribution_lambda_11_loss: 1.2750 - distribution_lambda_12_loss: 0.3803 - val_loss: 1.7705 - val_distribution_lambda_10_loss: 0.0473 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 160/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8754 - distribution_lambda_10_loss: 0.2052 - distribution_lambda_11_loss: 1.2789 - distribution_lambda_12_loss: 0.3913 - val_loss: 1.7701 - val_distribution_lambda_10_loss: 0.0465 - val_distribution_lambda_11_loss: 1.3219 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 161/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8315 - distribution_lambda_10_loss: 0.1596 - distribution_lambda_11_loss: 1.2836 - distribution_lambda_12_loss: 0.3883 - val_loss: 1.7744 - val_distribution_lambda_10_loss: 0.0505 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 162/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7896 - distribution_lambda_10_loss: 0.1370 - distribution_lambda_11_loss: 1.2843 - distribution_lambda_12_loss: 0.3682 - val_loss: 1.7704 - val_distribution_lambda_10_loss: 0.0466 - val_distribution_lambda_11_loss: 1.3222 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 163/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7870 - distribution_lambda_10_loss: 0.1511 - distribution_lambda_11_loss: 1.2580 - distribution_lambda_12_loss: 0.3779 - val_loss: 1.7713 - val_distribution_lambda_10_loss: 0.0466 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 164/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8697 - distribution_lambda_10_loss: 0.2044 - distribution_lambda_11_loss: 1.2852 - distribution_lambda_12_loss: 0.3802 - val_loss: 1.7700 - val_distribution_lambda_10_loss: 0.0452 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 165/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9273 - distribution_lambda_10_loss: 0.2419 - distribution_lambda_11_loss: 1.3027 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7651 - val_distribution_lambda_10_loss: 0.0434 - val_distribution_lambda_11_loss: 1.3200 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 166/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8560 - distribution_lambda_10_loss: 0.2029 - distribution_lambda_11_loss: 1.2857 - distribution_lambda_12_loss: 0.3673 - val_loss: 1.7687 - val_distribution_lambda_10_loss: 0.0465 - val_distribution_lambda_11_loss: 1.3201 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 167/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8522 - distribution_lambda_10_loss: 0.1623 - distribution_lambda_11_loss: 1.2997 - distribution_lambda_12_loss: 0.3902 - val_loss: 1.7760 - val_distribution_lambda_10_loss: 0.0510 - val_distribution_lambda_11_loss: 1.3225 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 168/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8363 - distribution_lambda_10_loss: 0.1786 - distribution_lambda_11_loss: 1.2852 - distribution_lambda_12_loss: 0.3725 - val_loss: 1.7721 - val_distribution_lambda_10_loss: 0.0475 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 169/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9823 - distribution_lambda_26_loss: 3.1807 - distribution_lambda_27_loss: 2.2378 - distribution_lambda_28_loss: 0.5638 - val_loss: 5.8696 - val_distribution_lambda_26_loss: 3.1269 - val_distribution_lambda_27_loss: 2.1773 - val_distribution_lambda_28_loss: 0.5654\n",
+ "Epoch 146/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9690 - distribution_lambda_26_loss: 3.1695 - distribution_lambda_27_loss: 2.2318 - distribution_lambda_28_loss: 0.5677 - val_loss: 5.8626 - val_distribution_lambda_26_loss: 3.1236 - val_distribution_lambda_27_loss: 2.1739 - val_distribution_lambda_28_loss: 0.5652\n",
+ "Epoch 147/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0001 - distribution_lambda_26_loss: 3.1676 - distribution_lambda_27_loss: 2.2660 - distribution_lambda_28_loss: 0.5666 - val_loss: 5.8555 - val_distribution_lambda_26_loss: 3.1203 - val_distribution_lambda_27_loss: 2.1702 - val_distribution_lambda_28_loss: 0.5649\n",
+ "Epoch 148/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9706 - distribution_lambda_26_loss: 3.1575 - distribution_lambda_27_loss: 2.2477 - distribution_lambda_28_loss: 0.5654 - val_loss: 5.8482 - val_distribution_lambda_26_loss: 3.1172 - val_distribution_lambda_27_loss: 2.1665 - val_distribution_lambda_28_loss: 0.5646\n",
+ "Epoch 149/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9570 - distribution_lambda_26_loss: 3.1698 - distribution_lambda_27_loss: 2.2199 - distribution_lambda_28_loss: 0.5674 - val_loss: 5.8414 - val_distribution_lambda_26_loss: 3.1140 - val_distribution_lambda_27_loss: 2.1631 - val_distribution_lambda_28_loss: 0.5643\n",
+ "Epoch 150/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9711 - distribution_lambda_26_loss: 3.1599 - distribution_lambda_27_loss: 2.2489 - distribution_lambda_28_loss: 0.5623 - val_loss: 5.8347 - val_distribution_lambda_26_loss: 3.1108 - val_distribution_lambda_27_loss: 2.1599 - val_distribution_lambda_28_loss: 0.5640\n",
+ "Epoch 151/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9577 - distribution_lambda_26_loss: 3.1533 - distribution_lambda_27_loss: 2.2386 - distribution_lambda_28_loss: 0.5657 - val_loss: 5.8282 - val_distribution_lambda_26_loss: 3.1076 - val_distribution_lambda_27_loss: 2.1567 - val_distribution_lambda_28_loss: 0.5639\n",
+ "Epoch 152/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9068 - distribution_lambda_26_loss: 3.1458 - distribution_lambda_27_loss: 2.1976 - distribution_lambda_28_loss: 0.5634 - val_loss: 5.8218 - val_distribution_lambda_26_loss: 3.1045 - val_distribution_lambda_27_loss: 2.1536 - val_distribution_lambda_28_loss: 0.5637\n",
+ "Epoch 153/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9105 - distribution_lambda_26_loss: 3.1397 - distribution_lambda_27_loss: 2.2066 - distribution_lambda_28_loss: 0.5641 - val_loss: 5.8154 - val_distribution_lambda_26_loss: 3.1015 - val_distribution_lambda_27_loss: 2.1505 - val_distribution_lambda_28_loss: 0.5634\n",
+ "Epoch 154/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9347 - distribution_lambda_26_loss: 3.1517 - distribution_lambda_27_loss: 2.2166 - distribution_lambda_28_loss: 0.5664 - val_loss: 5.8092 - val_distribution_lambda_26_loss: 3.0984 - val_distribution_lambda_27_loss: 2.1476 - val_distribution_lambda_28_loss: 0.5632\n",
+ "Epoch 155/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9025 - distribution_lambda_26_loss: 3.1408 - distribution_lambda_27_loss: 2.1963 - distribution_lambda_28_loss: 0.5654 - val_loss: 5.8032 - val_distribution_lambda_26_loss: 3.0954 - val_distribution_lambda_27_loss: 2.1448 - val_distribution_lambda_28_loss: 0.5630\n",
+ "Epoch 156/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9016 - distribution_lambda_26_loss: 3.1358 - distribution_lambda_27_loss: 2.1995 - distribution_lambda_28_loss: 0.5663 - val_loss: 5.7970 - val_distribution_lambda_26_loss: 3.0924 - val_distribution_lambda_27_loss: 2.1419 - val_distribution_lambda_28_loss: 0.5627\n",
+ "Epoch 157/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8962 - distribution_lambda_26_loss: 3.1378 - distribution_lambda_27_loss: 2.1971 - distribution_lambda_28_loss: 0.5613 - val_loss: 5.7911 - val_distribution_lambda_26_loss: 3.0895 - val_distribution_lambda_27_loss: 2.1392 - val_distribution_lambda_28_loss: 0.5624\n",
+ "Epoch 158/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9291 - distribution_lambda_26_loss: 3.1431 - distribution_lambda_27_loss: 2.2264 - distribution_lambda_28_loss: 0.5596 - val_loss: 5.7852 - val_distribution_lambda_26_loss: 3.0865 - val_distribution_lambda_27_loss: 2.1365 - val_distribution_lambda_28_loss: 0.5621\n",
+ "Epoch 159/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9008 - distribution_lambda_26_loss: 3.1228 - distribution_lambda_27_loss: 2.2164 - distribution_lambda_28_loss: 0.5617 - val_loss: 5.7794 - val_distribution_lambda_26_loss: 3.0836 - val_distribution_lambda_27_loss: 2.1338 - val_distribution_lambda_28_loss: 0.5619\n",
+ "Epoch 160/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8811 - distribution_lambda_26_loss: 3.1247 - distribution_lambda_27_loss: 2.1900 - distribution_lambda_28_loss: 0.5665 - val_loss: 5.7737 - val_distribution_lambda_26_loss: 3.0807 - val_distribution_lambda_27_loss: 2.1312 - val_distribution_lambda_28_loss: 0.5618\n",
+ "Epoch 161/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8612 - distribution_lambda_26_loss: 3.1140 - distribution_lambda_27_loss: 2.1856 - distribution_lambda_28_loss: 0.5616 - val_loss: 5.7682 - val_distribution_lambda_26_loss: 3.0779 - val_distribution_lambda_27_loss: 2.1287 - val_distribution_lambda_28_loss: 0.5616\n",
+ "Epoch 162/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8490 - distribution_lambda_26_loss: 3.1143 - distribution_lambda_27_loss: 2.1726 - distribution_lambda_28_loss: 0.5622 - val_loss: 5.7626 - val_distribution_lambda_26_loss: 3.0751 - val_distribution_lambda_27_loss: 2.1260 - val_distribution_lambda_28_loss: 0.5614\n",
+ "Epoch 163/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8400 - distribution_lambda_26_loss: 3.1080 - distribution_lambda_27_loss: 2.1710 - distribution_lambda_28_loss: 0.5611 - val_loss: 5.7572 - val_distribution_lambda_26_loss: 3.0724 - val_distribution_lambda_27_loss: 2.1235 - val_distribution_lambda_28_loss: 0.5613\n",
+ "Epoch 164/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8673 - distribution_lambda_26_loss: 3.1100 - distribution_lambda_27_loss: 2.1942 - distribution_lambda_28_loss: 0.5632 - val_loss: 5.7517 - val_distribution_lambda_26_loss: 3.0696 - val_distribution_lambda_27_loss: 2.1210 - val_distribution_lambda_28_loss: 0.5611\n",
+ "Epoch 165/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8581 - distribution_lambda_26_loss: 3.1068 - distribution_lambda_27_loss: 2.1911 - distribution_lambda_28_loss: 0.5602 - val_loss: 5.7464 - val_distribution_lambda_26_loss: 3.0669 - val_distribution_lambda_27_loss: 2.1185 - val_distribution_lambda_28_loss: 0.5609\n",
+ "Epoch 166/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8260 - distribution_lambda_26_loss: 3.1027 - distribution_lambda_27_loss: 2.1638 - distribution_lambda_28_loss: 0.5595 - val_loss: 5.7413 - val_distribution_lambda_26_loss: 3.0642 - val_distribution_lambda_27_loss: 2.1164 - val_distribution_lambda_28_loss: 0.5607\n",
+ "Epoch 167/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8411 - distribution_lambda_26_loss: 3.1043 - distribution_lambda_27_loss: 2.1745 - distribution_lambda_28_loss: 0.5623 - val_loss: 5.7363 - val_distribution_lambda_26_loss: 3.0615 - val_distribution_lambda_27_loss: 2.1142 - val_distribution_lambda_28_loss: 0.5606\n",
+ "Epoch 168/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8305 - distribution_lambda_26_loss: 3.0973 - distribution_lambda_27_loss: 2.1731 - distribution_lambda_28_loss: 0.5601 - val_loss: 5.7311 - val_distribution_lambda_26_loss: 3.0588 - val_distribution_lambda_27_loss: 2.1119 - val_distribution_lambda_28_loss: 0.5605\n",
+ "Epoch 169/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8309 - distribution_lambda_10_loss: 0.1611 - distribution_lambda_11_loss: 1.2882 - distribution_lambda_12_loss: 0.3816 - val_loss: 1.7684 - val_distribution_lambda_10_loss: 0.0446 - val_distribution_lambda_11_loss: 1.3214 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 170/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7526 - distribution_lambda_10_loss: 0.1149 - distribution_lambda_11_loss: 1.2734 - distribution_lambda_12_loss: 0.3643 - val_loss: 1.7679 - val_distribution_lambda_10_loss: 0.0454 - val_distribution_lambda_11_loss: 1.3202 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 171/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8285 - distribution_lambda_10_loss: 0.1464 - distribution_lambda_11_loss: 1.2838 - distribution_lambda_12_loss: 0.3983 - val_loss: 1.7631 - val_distribution_lambda_10_loss: 0.0370 - val_distribution_lambda_11_loss: 1.3241 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 172/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8933 - distribution_lambda_10_loss: 0.2335 - distribution_lambda_11_loss: 1.2771 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7615 - val_distribution_lambda_10_loss: 0.0383 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 173/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8335 - distribution_lambda_10_loss: 0.1770 - distribution_lambda_11_loss: 1.2766 - distribution_lambda_12_loss: 0.3799 - val_loss: 1.7623 - val_distribution_lambda_10_loss: 0.0408 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 174/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7923 - distribution_lambda_10_loss: 0.1386 - distribution_lambda_11_loss: 1.2627 - distribution_lambda_12_loss: 0.3911 - val_loss: 1.7627 - val_distribution_lambda_10_loss: 0.0397 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 175/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8236 - distribution_lambda_10_loss: 0.1576 - distribution_lambda_11_loss: 1.2917 - distribution_lambda_12_loss: 0.3743 - val_loss: 1.7628 - val_distribution_lambda_10_loss: 0.0394 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 176/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8275 - distribution_lambda_10_loss: 0.1477 - distribution_lambda_11_loss: 1.2903 - distribution_lambda_12_loss: 0.3895 - val_loss: 1.7598 - val_distribution_lambda_10_loss: 0.0368 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 177/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9031 - distribution_lambda_10_loss: 0.2526 - distribution_lambda_11_loss: 1.2780 - distribution_lambda_12_loss: 0.3726 - val_loss: 1.7610 - val_distribution_lambda_10_loss: 0.0415 - val_distribution_lambda_11_loss: 1.3178 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 178/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9178 - distribution_lambda_10_loss: 0.2035 - distribution_lambda_11_loss: 1.3253 - distribution_lambda_12_loss: 0.3890 - val_loss: 1.7632 - val_distribution_lambda_10_loss: 0.0444 - val_distribution_lambda_11_loss: 1.3175 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 179/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7727 - distribution_lambda_10_loss: 0.1092 - distribution_lambda_11_loss: 1.2748 - distribution_lambda_12_loss: 0.3887 - val_loss: 1.7688 - val_distribution_lambda_10_loss: 0.0466 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 180/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8322 - distribution_lambda_10_loss: 0.1608 - distribution_lambda_11_loss: 1.2901 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7641 - val_distribution_lambda_10_loss: 0.0438 - val_distribution_lambda_11_loss: 1.3194 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 181/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8818 - distribution_lambda_10_loss: 0.2089 - distribution_lambda_11_loss: 1.2935 - distribution_lambda_12_loss: 0.3794 - val_loss: 1.7592 - val_distribution_lambda_10_loss: 0.0414 - val_distribution_lambda_11_loss: 1.3171 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 182/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8186 - distribution_lambda_10_loss: 0.1707 - distribution_lambda_11_loss: 1.2671 - distribution_lambda_12_loss: 0.3808 - val_loss: 1.7611 - val_distribution_lambda_10_loss: 0.0447 - val_distribution_lambda_11_loss: 1.3160 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 183/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8785 - distribution_lambda_10_loss: 0.2157 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7664 - val_distribution_lambda_10_loss: 0.0476 - val_distribution_lambda_11_loss: 1.3186 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 184/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8016 - distribution_lambda_10_loss: 0.1661 - distribution_lambda_11_loss: 1.2565 - distribution_lambda_12_loss: 0.3790 - val_loss: 1.7643 - val_distribution_lambda_10_loss: 0.0440 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 185/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8386 - distribution_lambda_10_loss: 0.1777 - distribution_lambda_11_loss: 1.2940 - distribution_lambda_12_loss: 0.3669 - val_loss: 1.7670 - val_distribution_lambda_10_loss: 0.0460 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.3994\n",
- "Epoch 186/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8156 - distribution_lambda_10_loss: 0.1682 - distribution_lambda_11_loss: 1.2658 - distribution_lambda_12_loss: 0.3816 - val_loss: 1.7661 - val_distribution_lambda_10_loss: 0.0470 - val_distribution_lambda_11_loss: 1.3201 - val_distribution_lambda_12_loss: 0.3991\n",
- "Epoch 187/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9016 - distribution_lambda_10_loss: 0.2035 - distribution_lambda_11_loss: 1.3034 - distribution_lambda_12_loss: 0.3947 - val_loss: 1.7725 - val_distribution_lambda_10_loss: 0.0529 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3990\n",
- "Epoch 188/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7649 - distribution_lambda_10_loss: 0.1031 - distribution_lambda_11_loss: 1.2766 - distribution_lambda_12_loss: 0.3851 - val_loss: 1.7658 - val_distribution_lambda_10_loss: 0.0486 - val_distribution_lambda_11_loss: 1.3177 - val_distribution_lambda_12_loss: 0.3996\n",
- "Epoch 189/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8123 - distribution_lambda_10_loss: 0.1207 - distribution_lambda_11_loss: 1.3013 - distribution_lambda_12_loss: 0.3903 - val_loss: 1.7623 - val_distribution_lambda_10_loss: 0.0438 - val_distribution_lambda_11_loss: 1.3187 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 190/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8499 - distribution_lambda_10_loss: 0.2054 - distribution_lambda_11_loss: 1.2738 - distribution_lambda_12_loss: 0.3706 - val_loss: 1.7671 - val_distribution_lambda_10_loss: 0.0467 - val_distribution_lambda_11_loss: 1.3207 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 191/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7978 - distribution_lambda_10_loss: 0.1476 - distribution_lambda_11_loss: 1.2689 - distribution_lambda_12_loss: 0.3813 - val_loss: 1.7636 - val_distribution_lambda_10_loss: 0.0447 - val_distribution_lambda_11_loss: 1.3190 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 192/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8474 - distribution_lambda_10_loss: 0.1610 - distribution_lambda_11_loss: 1.3074 - distribution_lambda_12_loss: 0.3790 - val_loss: 1.7627 - val_distribution_lambda_10_loss: 0.0446 - val_distribution_lambda_11_loss: 1.3179 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 193/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8549 - distribution_lambda_26_loss: 3.1014 - distribution_lambda_27_loss: 2.1939 - distribution_lambda_28_loss: 0.5597 - val_loss: 5.7260 - val_distribution_lambda_26_loss: 3.0561 - val_distribution_lambda_27_loss: 2.1096 - val_distribution_lambda_28_loss: 0.5603\n",
+ "Epoch 170/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8284 - distribution_lambda_26_loss: 3.0923 - distribution_lambda_27_loss: 2.1738 - distribution_lambda_28_loss: 0.5623 - val_loss: 5.7211 - val_distribution_lambda_26_loss: 3.0535 - val_distribution_lambda_27_loss: 2.1075 - val_distribution_lambda_28_loss: 0.5602\n",
+ "Epoch 171/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.8032 - distribution_lambda_26_loss: 3.0871 - distribution_lambda_27_loss: 2.1566 - distribution_lambda_28_loss: 0.5595 - val_loss: 5.7165 - val_distribution_lambda_26_loss: 3.0509 - val_distribution_lambda_27_loss: 2.1056 - val_distribution_lambda_28_loss: 0.5601\n",
+ "Epoch 172/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8121 - distribution_lambda_26_loss: 3.0853 - distribution_lambda_27_loss: 2.1654 - distribution_lambda_28_loss: 0.5614 - val_loss: 5.7119 - val_distribution_lambda_26_loss: 3.0483 - val_distribution_lambda_27_loss: 2.1037 - val_distribution_lambda_28_loss: 0.5599\n",
+ "Epoch 173/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8025 - distribution_lambda_26_loss: 3.0866 - distribution_lambda_27_loss: 2.1538 - distribution_lambda_28_loss: 0.5620 - val_loss: 5.7073 - val_distribution_lambda_26_loss: 3.0457 - val_distribution_lambda_27_loss: 2.1017 - val_distribution_lambda_28_loss: 0.5599\n",
+ "Epoch 174/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7760 - distribution_lambda_26_loss: 3.0770 - distribution_lambda_27_loss: 2.1429 - distribution_lambda_28_loss: 0.5561 - val_loss: 5.7028 - val_distribution_lambda_26_loss: 3.0431 - val_distribution_lambda_27_loss: 2.0999 - val_distribution_lambda_28_loss: 0.5597\n",
+ "Epoch 175/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7941 - distribution_lambda_26_loss: 3.0769 - distribution_lambda_27_loss: 2.1585 - distribution_lambda_28_loss: 0.5587 - val_loss: 5.6981 - val_distribution_lambda_26_loss: 3.0406 - val_distribution_lambda_27_loss: 2.0980 - val_distribution_lambda_28_loss: 0.5596\n",
+ "Epoch 176/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7763 - distribution_lambda_26_loss: 3.0692 - distribution_lambda_27_loss: 2.1490 - distribution_lambda_28_loss: 0.5580 - val_loss: 5.6934 - val_distribution_lambda_26_loss: 3.0381 - val_distribution_lambda_27_loss: 2.0959 - val_distribution_lambda_28_loss: 0.5594\n",
+ "Epoch 177/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7925 - distribution_lambda_26_loss: 3.0757 - distribution_lambda_27_loss: 2.1572 - distribution_lambda_28_loss: 0.5595 - val_loss: 5.6889 - val_distribution_lambda_26_loss: 3.0356 - val_distribution_lambda_27_loss: 2.0940 - val_distribution_lambda_28_loss: 0.5593\n",
+ "Epoch 178/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.7822 - distribution_lambda_26_loss: 3.0739 - distribution_lambda_27_loss: 2.1511 - distribution_lambda_28_loss: 0.5572 - val_loss: 5.6845 - val_distribution_lambda_26_loss: 3.0331 - val_distribution_lambda_27_loss: 2.0921 - val_distribution_lambda_28_loss: 0.5592\n",
+ "Epoch 179/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.7518 - distribution_lambda_26_loss: 3.0646 - distribution_lambda_27_loss: 2.1256 - distribution_lambda_28_loss: 0.5616 - val_loss: 5.6802 - val_distribution_lambda_26_loss: 3.0307 - val_distribution_lambda_27_loss: 2.0904 - val_distribution_lambda_28_loss: 0.5591\n",
+ "Epoch 180/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7672 - distribution_lambda_26_loss: 3.0642 - distribution_lambda_27_loss: 2.1415 - distribution_lambda_28_loss: 0.5614 - val_loss: 5.6759 - val_distribution_lambda_26_loss: 3.0282 - val_distribution_lambda_27_loss: 2.0887 - val_distribution_lambda_28_loss: 0.5590\n",
+ "Epoch 181/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7460 - distribution_lambda_26_loss: 3.0576 - distribution_lambda_27_loss: 2.1299 - distribution_lambda_28_loss: 0.5585 - val_loss: 5.6716 - val_distribution_lambda_26_loss: 3.0258 - val_distribution_lambda_27_loss: 2.0871 - val_distribution_lambda_28_loss: 0.5587\n",
+ "Epoch 182/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7566 - distribution_lambda_26_loss: 3.0564 - distribution_lambda_27_loss: 2.1386 - distribution_lambda_28_loss: 0.5617 - val_loss: 5.6673 - val_distribution_lambda_26_loss: 3.0234 - val_distribution_lambda_27_loss: 2.0853 - val_distribution_lambda_28_loss: 0.5586\n",
+ "Epoch 183/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7569 - distribution_lambda_26_loss: 3.0610 - distribution_lambda_27_loss: 2.1411 - distribution_lambda_28_loss: 0.5547 - val_loss: 5.6631 - val_distribution_lambda_26_loss: 3.0210 - val_distribution_lambda_27_loss: 2.0838 - val_distribution_lambda_28_loss: 0.5584\n",
+ "Epoch 184/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7131 - distribution_lambda_26_loss: 3.0527 - distribution_lambda_27_loss: 2.1042 - distribution_lambda_28_loss: 0.5561 - val_loss: 5.6590 - val_distribution_lambda_26_loss: 3.0186 - val_distribution_lambda_27_loss: 2.0821 - val_distribution_lambda_28_loss: 0.5583\n",
+ "Epoch 185/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7210 - distribution_lambda_26_loss: 3.0469 - distribution_lambda_27_loss: 2.1167 - distribution_lambda_28_loss: 0.5574 - val_loss: 5.6551 - val_distribution_lambda_26_loss: 3.0162 - val_distribution_lambda_27_loss: 2.0807 - val_distribution_lambda_28_loss: 0.5582\n",
+ "Epoch 186/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7416 - distribution_lambda_26_loss: 3.0454 - distribution_lambda_27_loss: 2.1356 - distribution_lambda_28_loss: 0.5606 - val_loss: 5.6511 - val_distribution_lambda_26_loss: 3.0138 - val_distribution_lambda_27_loss: 2.0791 - val_distribution_lambda_28_loss: 0.5582\n",
+ "Epoch 187/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7254 - distribution_lambda_26_loss: 3.0443 - distribution_lambda_27_loss: 2.1227 - distribution_lambda_28_loss: 0.5585 - val_loss: 5.6472 - val_distribution_lambda_26_loss: 3.0115 - val_distribution_lambda_27_loss: 2.0776 - val_distribution_lambda_28_loss: 0.5581\n",
+ "Epoch 188/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7077 - distribution_lambda_26_loss: 3.0387 - distribution_lambda_27_loss: 2.1106 - distribution_lambda_28_loss: 0.5584 - val_loss: 5.6432 - val_distribution_lambda_26_loss: 3.0092 - val_distribution_lambda_27_loss: 2.0760 - val_distribution_lambda_28_loss: 0.5580\n",
+ "Epoch 189/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7043 - distribution_lambda_26_loss: 3.0371 - distribution_lambda_27_loss: 2.1116 - distribution_lambda_28_loss: 0.5557 - val_loss: 5.6393 - val_distribution_lambda_26_loss: 3.0069 - val_distribution_lambda_27_loss: 2.0746 - val_distribution_lambda_28_loss: 0.5579\n",
+ "Epoch 190/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7072 - distribution_lambda_26_loss: 3.0410 - distribution_lambda_27_loss: 2.1077 - distribution_lambda_28_loss: 0.5584 - val_loss: 5.6354 - val_distribution_lambda_26_loss: 3.0045 - val_distribution_lambda_27_loss: 2.0731 - val_distribution_lambda_28_loss: 0.5578\n",
+ "Epoch 191/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.7156 - distribution_lambda_26_loss: 3.0419 - distribution_lambda_27_loss: 2.1157 - distribution_lambda_28_loss: 0.5580 - val_loss: 5.6314 - val_distribution_lambda_26_loss: 3.0022 - val_distribution_lambda_27_loss: 2.0715 - val_distribution_lambda_28_loss: 0.5577\n",
+ "Epoch 192/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7023 - distribution_lambda_26_loss: 3.0287 - distribution_lambda_27_loss: 2.1138 - distribution_lambda_28_loss: 0.5597 - val_loss: 5.6275 - val_distribution_lambda_26_loss: 2.9999 - val_distribution_lambda_27_loss: 2.0700 - val_distribution_lambda_28_loss: 0.5576\n",
+ "Epoch 193/2500\n"
]
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- "8/8 [==============================] - 0s 6ms/step - loss: 1.8502 - distribution_lambda_10_loss: 0.1643 - distribution_lambda_11_loss: 1.2941 - distribution_lambda_12_loss: 0.3918 - val_loss: 1.7657 - val_distribution_lambda_10_loss: 0.0465 - val_distribution_lambda_11_loss: 1.3188 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 194/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8443 - distribution_lambda_10_loss: 0.1732 - distribution_lambda_11_loss: 1.2928 - distribution_lambda_12_loss: 0.3783 - val_loss: 1.7686 - val_distribution_lambda_10_loss: 0.0482 - val_distribution_lambda_11_loss: 1.3201 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 195/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8978 - distribution_lambda_10_loss: 0.2247 - distribution_lambda_11_loss: 1.2773 - distribution_lambda_12_loss: 0.3958 - val_loss: 1.7663 - val_distribution_lambda_10_loss: 0.0493 - val_distribution_lambda_11_loss: 1.3167 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 196/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8302 - distribution_lambda_10_loss: 0.1590 - distribution_lambda_11_loss: 1.2875 - distribution_lambda_12_loss: 0.3837 - val_loss: 1.7638 - val_distribution_lambda_10_loss: 0.0471 - val_distribution_lambda_11_loss: 1.3160 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 197/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8210 - distribution_lambda_10_loss: 0.1595 - distribution_lambda_11_loss: 1.2724 - distribution_lambda_12_loss: 0.3891 - val_loss: 1.7661 - val_distribution_lambda_10_loss: 0.0495 - val_distribution_lambda_11_loss: 1.3163 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 198/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7971 - distribution_lambda_10_loss: 0.1347 - distribution_lambda_11_loss: 1.2746 - distribution_lambda_12_loss: 0.3878 - val_loss: 1.7585 - val_distribution_lambda_10_loss: 0.0412 - val_distribution_lambda_11_loss: 1.3171 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 199/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8014 - distribution_lambda_10_loss: 0.1359 - distribution_lambda_11_loss: 1.2827 - distribution_lambda_12_loss: 0.3828 - val_loss: 1.7589 - val_distribution_lambda_10_loss: 0.0414 - val_distribution_lambda_11_loss: 1.3174 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 200/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8742 - distribution_lambda_10_loss: 0.2019 - distribution_lambda_11_loss: 1.2867 - distribution_lambda_12_loss: 0.3856 - val_loss: 1.7556 - val_distribution_lambda_10_loss: 0.0384 - val_distribution_lambda_11_loss: 1.3172 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 201/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8135 - distribution_lambda_10_loss: 0.1556 - distribution_lambda_11_loss: 1.2759 - distribution_lambda_12_loss: 0.3820 - val_loss: 1.7521 - val_distribution_lambda_10_loss: 0.0360 - val_distribution_lambda_11_loss: 1.3159 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 202/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7854 - distribution_lambda_10_loss: 0.1276 - distribution_lambda_11_loss: 1.2689 - distribution_lambda_12_loss: 0.3888 - val_loss: 1.7539 - val_distribution_lambda_10_loss: 0.0371 - val_distribution_lambda_11_loss: 1.3169 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 203/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8124 - distribution_lambda_10_loss: 0.1408 - distribution_lambda_11_loss: 1.2968 - distribution_lambda_12_loss: 0.3748 - val_loss: 1.7560 - val_distribution_lambda_10_loss: 0.0386 - val_distribution_lambda_11_loss: 1.3175 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 204/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7959 - distribution_lambda_10_loss: 0.1473 - distribution_lambda_11_loss: 1.2778 - distribution_lambda_12_loss: 0.3709 - val_loss: 1.7515 - val_distribution_lambda_10_loss: 0.0337 - val_distribution_lambda_11_loss: 1.3179 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 205/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8765 - distribution_lambda_10_loss: 0.2201 - distribution_lambda_11_loss: 1.2853 - distribution_lambda_12_loss: 0.3711 - val_loss: 1.7521 - val_distribution_lambda_10_loss: 0.0368 - val_distribution_lambda_11_loss: 1.3154 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 206/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7689 - distribution_lambda_10_loss: 0.1306 - distribution_lambda_11_loss: 1.2643 - distribution_lambda_12_loss: 0.3740 - val_loss: 1.7519 - val_distribution_lambda_10_loss: 0.0362 - val_distribution_lambda_11_loss: 1.3157 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 207/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7828 - distribution_lambda_10_loss: 0.1181 - distribution_lambda_11_loss: 1.2868 - distribution_lambda_12_loss: 0.3780 - val_loss: 1.7544 - val_distribution_lambda_10_loss: 0.0361 - val_distribution_lambda_11_loss: 1.3183 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 208/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7929 - distribution_lambda_10_loss: 0.1385 - distribution_lambda_11_loss: 1.2827 - distribution_lambda_12_loss: 0.3718 - val_loss: 1.7508 - val_distribution_lambda_10_loss: 0.0302 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 209/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7168 - distribution_lambda_10_loss: 0.0878 - distribution_lambda_11_loss: 1.2501 - distribution_lambda_12_loss: 0.3789 - val_loss: 1.7461 - val_distribution_lambda_10_loss: 0.0282 - val_distribution_lambda_11_loss: 1.3179 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 210/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7658 - distribution_lambda_10_loss: 0.1209 - distribution_lambda_11_loss: 1.2553 - distribution_lambda_12_loss: 0.3896 - val_loss: 1.7457 - val_distribution_lambda_10_loss: 0.0292 - val_distribution_lambda_11_loss: 1.3168 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 211/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8452 - distribution_lambda_10_loss: 0.1716 - distribution_lambda_11_loss: 1.2934 - distribution_lambda_12_loss: 0.3802 - val_loss: 1.7505 - val_distribution_lambda_10_loss: 0.0311 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 212/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.7646 - distribution_lambda_10_loss: 0.1031 - distribution_lambda_11_loss: 1.2853 - distribution_lambda_12_loss: 0.3762 - val_loss: 1.7465 - val_distribution_lambda_10_loss: 0.0275 - val_distribution_lambda_11_loss: 1.3191 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 213/2000\n",
- "8/8 [==============================] - 0s 8ms/step - loss: 1.8722 - distribution_lambda_10_loss: 0.2165 - distribution_lambda_11_loss: 1.2790 - distribution_lambda_12_loss: 0.3767 - val_loss: 1.7436 - val_distribution_lambda_10_loss: 0.0278 - val_distribution_lambda_11_loss: 1.3157 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 214/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.7938 - distribution_lambda_10_loss: 0.1310 - distribution_lambda_11_loss: 1.2754 - distribution_lambda_12_loss: 0.3874 - val_loss: 1.7487 - val_distribution_lambda_10_loss: 0.0328 - val_distribution_lambda_11_loss: 1.3156 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 215/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8480 - distribution_lambda_10_loss: 0.1845 - distribution_lambda_11_loss: 1.2831 - distribution_lambda_12_loss: 0.3804 - val_loss: 1.7501 - val_distribution_lambda_10_loss: 0.0330 - val_distribution_lambda_11_loss: 1.3167 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 216/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7173 - distribution_lambda_10_loss: 0.1088 - distribution_lambda_11_loss: 1.2340 - distribution_lambda_12_loss: 0.3746 - val_loss: 1.7519 - val_distribution_lambda_10_loss: 0.0327 - val_distribution_lambda_11_loss: 1.3188 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 217/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7163 - distribution_lambda_26_loss: 3.0303 - distribution_lambda_27_loss: 2.1293 - distribution_lambda_28_loss: 0.5567 - val_loss: 5.6235 - val_distribution_lambda_26_loss: 2.9976 - val_distribution_lambda_27_loss: 2.0684 - val_distribution_lambda_28_loss: 0.5575\n",
+ "Epoch 194/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6814 - distribution_lambda_26_loss: 3.0234 - distribution_lambda_27_loss: 2.1016 - distribution_lambda_28_loss: 0.5565 - val_loss: 5.6198 - val_distribution_lambda_26_loss: 2.9953 - val_distribution_lambda_27_loss: 2.0671 - val_distribution_lambda_28_loss: 0.5574\n",
+ "Epoch 195/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6617 - distribution_lambda_26_loss: 3.0216 - distribution_lambda_27_loss: 2.0872 - distribution_lambda_28_loss: 0.5530 - val_loss: 5.6161 - val_distribution_lambda_26_loss: 2.9931 - val_distribution_lambda_27_loss: 2.0658 - val_distribution_lambda_28_loss: 0.5572\n",
+ "Epoch 196/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6780 - distribution_lambda_26_loss: 3.0206 - distribution_lambda_27_loss: 2.0986 - distribution_lambda_28_loss: 0.5588 - val_loss: 5.6123 - val_distribution_lambda_26_loss: 2.9908 - val_distribution_lambda_27_loss: 2.0644 - val_distribution_lambda_28_loss: 0.5572\n",
+ "Epoch 197/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6912 - distribution_lambda_26_loss: 3.0260 - distribution_lambda_27_loss: 2.1096 - distribution_lambda_28_loss: 0.5556 - val_loss: 5.6084 - val_distribution_lambda_26_loss: 2.9885 - val_distribution_lambda_27_loss: 2.0628 - val_distribution_lambda_28_loss: 0.5570\n",
+ "Epoch 198/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6718 - distribution_lambda_26_loss: 3.0166 - distribution_lambda_27_loss: 2.1010 - distribution_lambda_28_loss: 0.5541 - val_loss: 5.6046 - val_distribution_lambda_26_loss: 2.9863 - val_distribution_lambda_27_loss: 2.0614 - val_distribution_lambda_28_loss: 0.5569\n",
+ "Epoch 199/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6668 - distribution_lambda_26_loss: 3.0131 - distribution_lambda_27_loss: 2.0956 - distribution_lambda_28_loss: 0.5581 - val_loss: 5.6008 - val_distribution_lambda_26_loss: 2.9841 - val_distribution_lambda_27_loss: 2.0599 - val_distribution_lambda_28_loss: 0.5568\n",
+ "Epoch 200/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6588 - distribution_lambda_26_loss: 3.0117 - distribution_lambda_27_loss: 2.0898 - distribution_lambda_28_loss: 0.5573 - val_loss: 5.5971 - val_distribution_lambda_26_loss: 2.9818 - val_distribution_lambda_27_loss: 2.0586 - val_distribution_lambda_28_loss: 0.5568\n",
+ "Epoch 201/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.6729 - distribution_lambda_26_loss: 3.0113 - distribution_lambda_27_loss: 2.1067 - distribution_lambda_28_loss: 0.5549 - val_loss: 5.5934 - val_distribution_lambda_26_loss: 2.9796 - val_distribution_lambda_27_loss: 2.0571 - val_distribution_lambda_28_loss: 0.5567\n",
+ "Epoch 202/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.6901 - distribution_lambda_26_loss: 3.0077 - distribution_lambda_27_loss: 2.1280 - distribution_lambda_28_loss: 0.5544 - val_loss: 5.5896 - val_distribution_lambda_26_loss: 2.9774 - val_distribution_lambda_27_loss: 2.0556 - val_distribution_lambda_28_loss: 0.5566\n",
+ "Epoch 203/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6398 - distribution_lambda_26_loss: 3.0039 - distribution_lambda_27_loss: 2.0808 - distribution_lambda_28_loss: 0.5550 - val_loss: 5.5860 - val_distribution_lambda_26_loss: 2.9752 - val_distribution_lambda_27_loss: 2.0543 - val_distribution_lambda_28_loss: 0.5565\n",
+ "Epoch 204/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6561 - distribution_lambda_26_loss: 3.0048 - distribution_lambda_27_loss: 2.0957 - distribution_lambda_28_loss: 0.5556 - val_loss: 5.5823 - val_distribution_lambda_26_loss: 2.9730 - val_distribution_lambda_27_loss: 2.0529 - val_distribution_lambda_28_loss: 0.5564\n",
+ "Epoch 205/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6183 - distribution_lambda_26_loss: 2.9929 - distribution_lambda_27_loss: 2.0698 - distribution_lambda_28_loss: 0.5557 - val_loss: 5.5787 - val_distribution_lambda_26_loss: 2.9708 - val_distribution_lambda_27_loss: 2.0516 - val_distribution_lambda_28_loss: 0.5563\n",
+ "Epoch 206/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6400 - distribution_lambda_26_loss: 3.0027 - distribution_lambda_27_loss: 2.0827 - distribution_lambda_28_loss: 0.5546 - val_loss: 5.5751 - val_distribution_lambda_26_loss: 2.9686 - val_distribution_lambda_27_loss: 2.0503 - val_distribution_lambda_28_loss: 0.5561\n",
+ "Epoch 207/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6294 - distribution_lambda_26_loss: 2.9966 - distribution_lambda_27_loss: 2.0829 - distribution_lambda_28_loss: 0.5499 - val_loss: 5.5715 - val_distribution_lambda_26_loss: 2.9664 - val_distribution_lambda_27_loss: 2.0491 - val_distribution_lambda_28_loss: 0.5559\n",
+ "Epoch 208/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6165 - distribution_lambda_26_loss: 2.9874 - distribution_lambda_27_loss: 2.0703 - distribution_lambda_28_loss: 0.5587 - val_loss: 5.5679 - val_distribution_lambda_26_loss: 2.9643 - val_distribution_lambda_27_loss: 2.0478 - val_distribution_lambda_28_loss: 0.5558\n",
+ "Epoch 209/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6372 - distribution_lambda_26_loss: 2.9928 - distribution_lambda_27_loss: 2.0925 - distribution_lambda_28_loss: 0.5519 - val_loss: 5.5643 - val_distribution_lambda_26_loss: 2.9621 - val_distribution_lambda_27_loss: 2.0464 - val_distribution_lambda_28_loss: 0.5557\n",
+ "Epoch 210/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6111 - distribution_lambda_26_loss: 2.9820 - distribution_lambda_27_loss: 2.0733 - distribution_lambda_28_loss: 0.5559 - val_loss: 5.5605 - val_distribution_lambda_26_loss: 2.9600 - val_distribution_lambda_27_loss: 2.0449 - val_distribution_lambda_28_loss: 0.5557\n",
+ "Epoch 211/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6369 - distribution_lambda_26_loss: 2.9847 - distribution_lambda_27_loss: 2.0992 - distribution_lambda_28_loss: 0.5530 - val_loss: 5.5567 - val_distribution_lambda_26_loss: 2.9578 - val_distribution_lambda_27_loss: 2.0433 - val_distribution_lambda_28_loss: 0.5556\n",
+ "Epoch 212/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6148 - distribution_lambda_26_loss: 2.9878 - distribution_lambda_27_loss: 2.0730 - distribution_lambda_28_loss: 0.5540 - val_loss: 5.5532 - val_distribution_lambda_26_loss: 2.9557 - val_distribution_lambda_27_loss: 2.0419 - val_distribution_lambda_28_loss: 0.5556\n",
+ "Epoch 213/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6249 - distribution_lambda_26_loss: 2.9842 - distribution_lambda_27_loss: 2.0884 - distribution_lambda_28_loss: 0.5523 - val_loss: 5.5495 - val_distribution_lambda_26_loss: 2.9535 - val_distribution_lambda_27_loss: 2.0406 - val_distribution_lambda_28_loss: 0.5554\n",
+ "Epoch 214/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6259 - distribution_lambda_26_loss: 2.9809 - distribution_lambda_27_loss: 2.0968 - distribution_lambda_28_loss: 0.5482 - val_loss: 5.5455 - val_distribution_lambda_26_loss: 2.9513 - val_distribution_lambda_27_loss: 2.0389 - val_distribution_lambda_28_loss: 0.5552\n",
+ "Epoch 215/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5844 - distribution_lambda_26_loss: 2.9730 - distribution_lambda_27_loss: 2.0569 - distribution_lambda_28_loss: 0.5545 - val_loss: 5.5418 - val_distribution_lambda_26_loss: 2.9492 - val_distribution_lambda_27_loss: 2.0376 - val_distribution_lambda_28_loss: 0.5550\n",
+ "Epoch 216/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5720 - distribution_lambda_26_loss: 2.9728 - distribution_lambda_27_loss: 2.0448 - distribution_lambda_28_loss: 0.5543 - val_loss: 5.5383 - val_distribution_lambda_26_loss: 2.9471 - val_distribution_lambda_27_loss: 2.0363 - val_distribution_lambda_28_loss: 0.5549\n",
+ "Epoch 217/2500\n"
]
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- "Epoch 218/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8928 - distribution_lambda_10_loss: 0.1888 - distribution_lambda_11_loss: 1.3134 - distribution_lambda_12_loss: 0.3907 - val_loss: 1.7517 - val_distribution_lambda_10_loss: 0.0349 - val_distribution_lambda_11_loss: 1.3170 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 219/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8506 - distribution_lambda_10_loss: 0.1875 - distribution_lambda_11_loss: 1.2830 - distribution_lambda_12_loss: 0.3800 - val_loss: 1.7547 - val_distribution_lambda_10_loss: 0.0346 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3995\n",
- "Epoch 220/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7843 - distribution_lambda_10_loss: 0.1504 - distribution_lambda_11_loss: 1.2581 - distribution_lambda_12_loss: 0.3758 - val_loss: 1.7607 - val_distribution_lambda_10_loss: 0.0397 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 221/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9015 - distribution_lambda_10_loss: 0.2318 - distribution_lambda_11_loss: 1.2940 - distribution_lambda_12_loss: 0.3757 - val_loss: 1.7629 - val_distribution_lambda_10_loss: 0.0428 - val_distribution_lambda_11_loss: 1.3203 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 222/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8426 - distribution_lambda_10_loss: 0.1686 - distribution_lambda_11_loss: 1.2874 - distribution_lambda_12_loss: 0.3865 - val_loss: 1.7647 - val_distribution_lambda_10_loss: 0.0438 - val_distribution_lambda_11_loss: 1.3212 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 223/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8004 - distribution_lambda_10_loss: 0.1542 - distribution_lambda_11_loss: 1.2650 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7687 - val_distribution_lambda_10_loss: 0.0475 - val_distribution_lambda_11_loss: 1.3217 - val_distribution_lambda_12_loss: 0.3996\n",
- "Epoch 224/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8161 - distribution_lambda_10_loss: 0.1573 - distribution_lambda_11_loss: 1.2737 - distribution_lambda_12_loss: 0.3850 - val_loss: 1.7641 - val_distribution_lambda_10_loss: 0.0407 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 225/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7916 - distribution_lambda_10_loss: 0.1258 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3841 - val_loss: 1.7742 - val_distribution_lambda_10_loss: 0.0455 - val_distribution_lambda_11_loss: 1.3286 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 226/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7875 - distribution_lambda_10_loss: 0.0974 - distribution_lambda_11_loss: 1.2953 - distribution_lambda_12_loss: 0.3947 - val_loss: 1.7583 - val_distribution_lambda_10_loss: 0.0339 - val_distribution_lambda_11_loss: 1.3243 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 227/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8151 - distribution_lambda_10_loss: 0.1809 - distribution_lambda_11_loss: 1.2551 - distribution_lambda_12_loss: 0.3792 - val_loss: 1.7504 - val_distribution_lambda_10_loss: 0.0312 - val_distribution_lambda_11_loss: 1.3192 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 228/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9603 - distribution_lambda_10_loss: 0.2873 - distribution_lambda_11_loss: 1.2870 - distribution_lambda_12_loss: 0.3860 - val_loss: 1.7527 - val_distribution_lambda_10_loss: 0.0343 - val_distribution_lambda_11_loss: 1.3185 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 229/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8002 - distribution_lambda_10_loss: 0.1581 - distribution_lambda_11_loss: 1.2589 - distribution_lambda_12_loss: 0.3832 - val_loss: 1.7693 - val_distribution_lambda_10_loss: 0.0483 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 230/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8404 - distribution_lambda_10_loss: 0.1862 - distribution_lambda_11_loss: 1.2795 - distribution_lambda_12_loss: 0.3747 - val_loss: 1.7755 - val_distribution_lambda_10_loss: 0.0495 - val_distribution_lambda_11_loss: 1.3263 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 231/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7884 - distribution_lambda_10_loss: 0.1445 - distribution_lambda_11_loss: 1.2584 - distribution_lambda_12_loss: 0.3855 - val_loss: 1.7716 - val_distribution_lambda_10_loss: 0.0513 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3996\n",
- "Epoch 232/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8077 - distribution_lambda_10_loss: 0.1632 - distribution_lambda_11_loss: 1.2708 - distribution_lambda_12_loss: 0.3737 - val_loss: 1.7608 - val_distribution_lambda_10_loss: 0.0413 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 233/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8350 - distribution_lambda_10_loss: 0.1847 - distribution_lambda_11_loss: 1.2724 - distribution_lambda_12_loss: 0.3779 - val_loss: 1.7609 - val_distribution_lambda_10_loss: 0.0421 - val_distribution_lambda_11_loss: 1.3188 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 234/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7852 - distribution_lambda_10_loss: 0.1475 - distribution_lambda_11_loss: 1.2558 - distribution_lambda_12_loss: 0.3819 - val_loss: 1.7681 - val_distribution_lambda_10_loss: 0.0494 - val_distribution_lambda_11_loss: 1.3182 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 235/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8264 - distribution_lambda_10_loss: 0.1502 - distribution_lambda_11_loss: 1.2833 - distribution_lambda_12_loss: 0.3929 - val_loss: 1.7571 - val_distribution_lambda_10_loss: 0.0357 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 236/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7020 - distribution_lambda_10_loss: 0.1101 - distribution_lambda_11_loss: 1.2371 - distribution_lambda_12_loss: 0.3548 - val_loss: 1.7496 - val_distribution_lambda_10_loss: 0.0298 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 237/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8055 - distribution_lambda_10_loss: 0.1338 - distribution_lambda_11_loss: 1.2871 - distribution_lambda_12_loss: 0.3847 - val_loss: 1.7486 - val_distribution_lambda_10_loss: 0.0266 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 238/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8616 - distribution_lambda_10_loss: 0.1724 - distribution_lambda_11_loss: 1.2850 - distribution_lambda_12_loss: 0.4042 - val_loss: 1.7454 - val_distribution_lambda_10_loss: 0.0274 - val_distribution_lambda_11_loss: 1.3170 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 239/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8076 - distribution_lambda_10_loss: 0.1618 - distribution_lambda_11_loss: 1.2505 - distribution_lambda_12_loss: 0.3953 - val_loss: 1.7494 - val_distribution_lambda_10_loss: 0.0326 - val_distribution_lambda_11_loss: 1.3160 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 240/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8577 - distribution_lambda_10_loss: 0.1635 - distribution_lambda_11_loss: 1.2985 - distribution_lambda_12_loss: 0.3956 - val_loss: 1.7509 - val_distribution_lambda_10_loss: 0.0319 - val_distribution_lambda_11_loss: 1.3184 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 241/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5990 - distribution_lambda_26_loss: 2.9679 - distribution_lambda_27_loss: 2.0818 - distribution_lambda_28_loss: 0.5493 - val_loss: 5.5349 - val_distribution_lambda_26_loss: 2.9449 - val_distribution_lambda_27_loss: 2.0351 - val_distribution_lambda_28_loss: 0.5548\n",
+ "Epoch 218/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5639 - distribution_lambda_26_loss: 2.9647 - distribution_lambda_27_loss: 2.0469 - distribution_lambda_28_loss: 0.5523 - val_loss: 5.5313 - val_distribution_lambda_26_loss: 2.9428 - val_distribution_lambda_27_loss: 2.0338 - val_distribution_lambda_28_loss: 0.5547\n",
+ "Epoch 219/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5621 - distribution_lambda_26_loss: 2.9656 - distribution_lambda_27_loss: 2.0419 - distribution_lambda_28_loss: 0.5546 - val_loss: 5.5279 - val_distribution_lambda_26_loss: 2.9407 - val_distribution_lambda_27_loss: 2.0326 - val_distribution_lambda_28_loss: 0.5546\n",
+ "Epoch 220/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5914 - distribution_lambda_26_loss: 2.9622 - distribution_lambda_27_loss: 2.0757 - distribution_lambda_28_loss: 0.5535 - val_loss: 5.5246 - val_distribution_lambda_26_loss: 2.9386 - val_distribution_lambda_27_loss: 2.0314 - val_distribution_lambda_28_loss: 0.5546\n",
+ "Epoch 221/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5614 - distribution_lambda_26_loss: 2.9646 - distribution_lambda_27_loss: 2.0439 - distribution_lambda_28_loss: 0.5529 - val_loss: 5.5213 - val_distribution_lambda_26_loss: 2.9365 - val_distribution_lambda_27_loss: 2.0304 - val_distribution_lambda_28_loss: 0.5545\n",
+ "Epoch 222/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5668 - distribution_lambda_26_loss: 2.9603 - distribution_lambda_27_loss: 2.0584 - distribution_lambda_28_loss: 0.5481 - val_loss: 5.5179 - val_distribution_lambda_26_loss: 2.9343 - val_distribution_lambda_27_loss: 2.0291 - val_distribution_lambda_28_loss: 0.5544\n",
+ "Epoch 223/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.5697 - distribution_lambda_26_loss: 2.9570 - distribution_lambda_27_loss: 2.0623 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.5143 - val_distribution_lambda_26_loss: 2.9322 - val_distribution_lambda_27_loss: 2.0278 - val_distribution_lambda_28_loss: 0.5543\n",
+ "Epoch 224/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5893 - distribution_lambda_26_loss: 2.9595 - distribution_lambda_27_loss: 2.0783 - distribution_lambda_28_loss: 0.5515 - val_loss: 5.5109 - val_distribution_lambda_26_loss: 2.9301 - val_distribution_lambda_27_loss: 2.0266 - val_distribution_lambda_28_loss: 0.5542\n",
+ "Epoch 225/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5722 - distribution_lambda_26_loss: 2.9538 - distribution_lambda_27_loss: 2.0624 - distribution_lambda_28_loss: 0.5560 - val_loss: 5.5075 - val_distribution_lambda_26_loss: 2.9279 - val_distribution_lambda_27_loss: 2.0255 - val_distribution_lambda_28_loss: 0.5541\n",
+ "Epoch 226/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5900 - distribution_lambda_26_loss: 2.9602 - distribution_lambda_27_loss: 2.0782 - distribution_lambda_28_loss: 0.5516 - val_loss: 5.5043 - val_distribution_lambda_26_loss: 2.9258 - val_distribution_lambda_27_loss: 2.0244 - val_distribution_lambda_28_loss: 0.5541\n",
+ "Epoch 227/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5387 - distribution_lambda_26_loss: 2.9479 - distribution_lambda_27_loss: 2.0406 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.5009 - val_distribution_lambda_26_loss: 2.9237 - val_distribution_lambda_27_loss: 2.0232 - val_distribution_lambda_28_loss: 0.5540\n",
+ "Epoch 228/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5283 - distribution_lambda_26_loss: 2.9409 - distribution_lambda_27_loss: 2.0366 - distribution_lambda_28_loss: 0.5508 - val_loss: 5.4975 - val_distribution_lambda_26_loss: 2.9216 - val_distribution_lambda_27_loss: 2.0220 - val_distribution_lambda_28_loss: 0.5540\n",
+ "Epoch 229/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5524 - distribution_lambda_26_loss: 2.9467 - distribution_lambda_27_loss: 2.0495 - distribution_lambda_28_loss: 0.5561 - val_loss: 5.4940 - val_distribution_lambda_26_loss: 2.9195 - val_distribution_lambda_27_loss: 2.0206 - val_distribution_lambda_28_loss: 0.5539\n",
+ "Epoch 230/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5513 - distribution_lambda_26_loss: 2.9435 - distribution_lambda_27_loss: 2.0592 - distribution_lambda_28_loss: 0.5486 - val_loss: 5.4905 - val_distribution_lambda_26_loss: 2.9173 - val_distribution_lambda_27_loss: 2.0193 - val_distribution_lambda_28_loss: 0.5539\n",
+ "Epoch 231/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5481 - distribution_lambda_26_loss: 2.9455 - distribution_lambda_27_loss: 2.0495 - distribution_lambda_28_loss: 0.5531 - val_loss: 5.4869 - val_distribution_lambda_26_loss: 2.9152 - val_distribution_lambda_27_loss: 2.0179 - val_distribution_lambda_28_loss: 0.5537\n",
+ "Epoch 232/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.5492 - distribution_lambda_26_loss: 2.9392 - distribution_lambda_27_loss: 2.0598 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4833 - val_distribution_lambda_26_loss: 2.9131 - val_distribution_lambda_27_loss: 2.0165 - val_distribution_lambda_28_loss: 0.5536\n",
+ "Epoch 233/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.5333 - distribution_lambda_26_loss: 2.9380 - distribution_lambda_27_loss: 2.0438 - distribution_lambda_28_loss: 0.5516 - val_loss: 5.4798 - val_distribution_lambda_26_loss: 2.9110 - val_distribution_lambda_27_loss: 2.0153 - val_distribution_lambda_28_loss: 0.5535\n",
+ "Epoch 234/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5236 - distribution_lambda_26_loss: 2.9358 - distribution_lambda_27_loss: 2.0342 - distribution_lambda_28_loss: 0.5536 - val_loss: 5.4763 - val_distribution_lambda_26_loss: 2.9089 - val_distribution_lambda_27_loss: 2.0140 - val_distribution_lambda_28_loss: 0.5534\n",
+ "Epoch 235/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5030 - distribution_lambda_26_loss: 2.9267 - distribution_lambda_27_loss: 2.0261 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4726 - val_distribution_lambda_26_loss: 2.9067 - val_distribution_lambda_27_loss: 2.0126 - val_distribution_lambda_28_loss: 0.5533\n",
+ "Epoch 236/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4961 - distribution_lambda_26_loss: 2.9268 - distribution_lambda_27_loss: 2.0187 - distribution_lambda_28_loss: 0.5506 - val_loss: 5.4692 - val_distribution_lambda_26_loss: 2.9046 - val_distribution_lambda_27_loss: 2.0114 - val_distribution_lambda_28_loss: 0.5532\n",
+ "Epoch 237/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4963 - distribution_lambda_26_loss: 2.9263 - distribution_lambda_27_loss: 2.0204 - distribution_lambda_28_loss: 0.5496 - val_loss: 5.4656 - val_distribution_lambda_26_loss: 2.9025 - val_distribution_lambda_27_loss: 2.0100 - val_distribution_lambda_28_loss: 0.5531\n",
+ "Epoch 238/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5490 - distribution_lambda_26_loss: 2.9236 - distribution_lambda_27_loss: 2.0745 - distribution_lambda_28_loss: 0.5508 - val_loss: 5.4619 - val_distribution_lambda_26_loss: 2.9004 - val_distribution_lambda_27_loss: 2.0085 - val_distribution_lambda_28_loss: 0.5529\n",
+ "Epoch 239/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4974 - distribution_lambda_26_loss: 2.9191 - distribution_lambda_27_loss: 2.0285 - distribution_lambda_28_loss: 0.5497 - val_loss: 5.4581 - val_distribution_lambda_26_loss: 2.8983 - val_distribution_lambda_27_loss: 2.0069 - val_distribution_lambda_28_loss: 0.5529\n",
+ "Epoch 240/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5136 - distribution_lambda_26_loss: 2.9248 - distribution_lambda_27_loss: 2.0320 - distribution_lambda_28_loss: 0.5568 - val_loss: 5.4546 - val_distribution_lambda_26_loss: 2.8962 - val_distribution_lambda_27_loss: 2.0056 - val_distribution_lambda_28_loss: 0.5528\n",
+ "Epoch 241/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7675 - distribution_lambda_10_loss: 0.1047 - distribution_lambda_11_loss: 1.2833 - distribution_lambda_12_loss: 0.3795 - val_loss: 1.7483 - val_distribution_lambda_10_loss: 0.0312 - val_distribution_lambda_11_loss: 1.3168 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 242/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7387 - distribution_lambda_10_loss: 0.1229 - distribution_lambda_11_loss: 1.2474 - distribution_lambda_12_loss: 0.3683 - val_loss: 1.7488 - val_distribution_lambda_10_loss: 0.0314 - val_distribution_lambda_11_loss: 1.3171 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 243/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7835 - distribution_lambda_10_loss: 0.1116 - distribution_lambda_11_loss: 1.2800 - distribution_lambda_12_loss: 0.3918 - val_loss: 1.7465 - val_distribution_lambda_10_loss: 0.0271 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4002\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4933 - distribution_lambda_26_loss: 2.9149 - distribution_lambda_27_loss: 2.0280 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.4510 - val_distribution_lambda_26_loss: 2.8941 - val_distribution_lambda_27_loss: 2.0042 - val_distribution_lambda_28_loss: 0.5527\n",
+ "Epoch 242/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4970 - distribution_lambda_26_loss: 2.9121 - distribution_lambda_27_loss: 2.0347 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4474 - val_distribution_lambda_26_loss: 2.8920 - val_distribution_lambda_27_loss: 2.0027 - val_distribution_lambda_28_loss: 0.5528\n",
+ "Epoch 243/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4949 - distribution_lambda_26_loss: 2.9142 - distribution_lambda_27_loss: 2.0293 - distribution_lambda_28_loss: 0.5514 - val_loss: 5.4438 - val_distribution_lambda_26_loss: 2.8898 - val_distribution_lambda_27_loss: 2.0013 - val_distribution_lambda_28_loss: 0.5527\n",
+ "Epoch 244/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4918 - distribution_lambda_26_loss: 2.9132 - distribution_lambda_27_loss: 2.0283 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.4402 - val_distribution_lambda_26_loss: 2.8877 - val_distribution_lambda_27_loss: 1.9999 - val_distribution_lambda_28_loss: 0.5526\n",
+ "Epoch 245/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4831 - distribution_lambda_26_loss: 2.9084 - distribution_lambda_27_loss: 2.0272 - distribution_lambda_28_loss: 0.5475 - val_loss: 5.4368 - val_distribution_lambda_26_loss: 2.8856 - val_distribution_lambda_27_loss: 1.9987 - val_distribution_lambda_28_loss: 0.5525\n",
+ "Epoch 246/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4677 - distribution_lambda_26_loss: 2.9064 - distribution_lambda_27_loss: 2.0108 - distribution_lambda_28_loss: 0.5506 - val_loss: 5.4330 - val_distribution_lambda_26_loss: 2.8834 - val_distribution_lambda_27_loss: 1.9971 - val_distribution_lambda_28_loss: 0.5524\n",
+ "Epoch 247/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4641 - distribution_lambda_26_loss: 2.9020 - distribution_lambda_27_loss: 2.0159 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.4295 - val_distribution_lambda_26_loss: 2.8813 - val_distribution_lambda_27_loss: 1.9958 - val_distribution_lambda_28_loss: 0.5524\n",
+ "Epoch 248/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4622 - distribution_lambda_26_loss: 2.9051 - distribution_lambda_27_loss: 2.0090 - distribution_lambda_28_loss: 0.5481 - val_loss: 5.4263 - val_distribution_lambda_26_loss: 2.8791 - val_distribution_lambda_27_loss: 1.9948 - val_distribution_lambda_28_loss: 0.5523\n",
+ "Epoch 249/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4505 - distribution_lambda_26_loss: 2.8962 - distribution_lambda_27_loss: 2.0040 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.4229 - val_distribution_lambda_26_loss: 2.8770 - val_distribution_lambda_27_loss: 1.9935 - val_distribution_lambda_28_loss: 0.5524\n",
+ "Epoch 250/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4577 - distribution_lambda_26_loss: 2.8953 - distribution_lambda_27_loss: 2.0160 - distribution_lambda_28_loss: 0.5464 - val_loss: 5.4194 - val_distribution_lambda_26_loss: 2.8749 - val_distribution_lambda_27_loss: 1.9923 - val_distribution_lambda_28_loss: 0.5523\n",
+ "Epoch 251/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4813 - distribution_lambda_26_loss: 2.8955 - distribution_lambda_27_loss: 2.0351 - distribution_lambda_28_loss: 0.5507 - val_loss: 5.4161 - val_distribution_lambda_26_loss: 2.8727 - val_distribution_lambda_27_loss: 1.9912 - val_distribution_lambda_28_loss: 0.5522\n",
+ "Epoch 252/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4420 - distribution_lambda_26_loss: 2.8945 - distribution_lambda_27_loss: 1.9973 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4126 - val_distribution_lambda_26_loss: 2.8705 - val_distribution_lambda_27_loss: 1.9899 - val_distribution_lambda_28_loss: 0.5522\n",
+ "Epoch 253/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4392 - distribution_lambda_26_loss: 2.8870 - distribution_lambda_27_loss: 2.0047 - distribution_lambda_28_loss: 0.5476 - val_loss: 5.4089 - val_distribution_lambda_26_loss: 2.8684 - val_distribution_lambda_27_loss: 1.9884 - val_distribution_lambda_28_loss: 0.5521\n",
+ "Epoch 254/2500\n",
+ "8/8 [==============================] - 0s 12ms/step - loss: 5.4326 - distribution_lambda_26_loss: 2.8895 - distribution_lambda_27_loss: 1.9955 - distribution_lambda_28_loss: 0.5475 - val_loss: 5.4050 - val_distribution_lambda_26_loss: 2.8662 - val_distribution_lambda_27_loss: 1.9868 - val_distribution_lambda_28_loss: 0.5520\n",
+ "Epoch 255/2500\n",
+ "8/8 [==============================] - 0s 10ms/step - loss: 5.4582 - distribution_lambda_26_loss: 2.8938 - distribution_lambda_27_loss: 2.0174 - distribution_lambda_28_loss: 0.5470 - val_loss: 5.4012 - val_distribution_lambda_26_loss: 2.8641 - val_distribution_lambda_27_loss: 1.9853 - val_distribution_lambda_28_loss: 0.5519\n",
+ "Epoch 256/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.4370 - distribution_lambda_26_loss: 2.8834 - distribution_lambda_27_loss: 2.0053 - distribution_lambda_28_loss: 0.5483 - val_loss: 5.3972 - val_distribution_lambda_26_loss: 2.8619 - val_distribution_lambda_27_loss: 1.9836 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 257/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4342 - distribution_lambda_26_loss: 2.8797 - distribution_lambda_27_loss: 2.0100 - distribution_lambda_28_loss: 0.5445 - val_loss: 5.3935 - val_distribution_lambda_26_loss: 2.8597 - val_distribution_lambda_27_loss: 1.9820 - val_distribution_lambda_28_loss: 0.5518\n",
+ "Epoch 258/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.4209 - distribution_lambda_26_loss: 2.8801 - distribution_lambda_27_loss: 1.9954 - distribution_lambda_28_loss: 0.5455 - val_loss: 5.3902 - val_distribution_lambda_26_loss: 2.8575 - val_distribution_lambda_27_loss: 1.9809 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 259/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4172 - distribution_lambda_26_loss: 2.8801 - distribution_lambda_27_loss: 1.9881 - distribution_lambda_28_loss: 0.5490 - val_loss: 5.3868 - val_distribution_lambda_26_loss: 2.8553 - val_distribution_lambda_27_loss: 1.9797 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 260/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4378 - distribution_lambda_26_loss: 2.8796 - distribution_lambda_27_loss: 2.0091 - distribution_lambda_28_loss: 0.5490 - val_loss: 5.3830 - val_distribution_lambda_26_loss: 2.8531 - val_distribution_lambda_27_loss: 1.9782 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 261/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4026 - distribution_lambda_26_loss: 2.8714 - distribution_lambda_27_loss: 1.9829 - distribution_lambda_28_loss: 0.5483 - val_loss: 5.3796 - val_distribution_lambda_26_loss: 2.8509 - val_distribution_lambda_27_loss: 1.9770 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 262/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4168 - distribution_lambda_26_loss: 2.8679 - distribution_lambda_27_loss: 1.9992 - distribution_lambda_28_loss: 0.5496 - val_loss: 5.3758 - val_distribution_lambda_26_loss: 2.8487 - val_distribution_lambda_27_loss: 1.9754 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 263/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4089 - distribution_lambda_26_loss: 2.8653 - distribution_lambda_27_loss: 1.9960 - distribution_lambda_28_loss: 0.5476 - val_loss: 5.3723 - val_distribution_lambda_26_loss: 2.8465 - val_distribution_lambda_27_loss: 1.9740 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 264/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4039 - distribution_lambda_26_loss: 2.8657 - distribution_lambda_27_loss: 1.9880 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.3688 - val_distribution_lambda_26_loss: 2.8443 - val_distribution_lambda_27_loss: 1.9728 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 265/2500\n"
+ ]
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+ "Epoch 266/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.3878 - distribution_lambda_26_loss: 2.8584 - distribution_lambda_27_loss: 1.9777 - distribution_lambda_28_loss: 0.5518 - val_loss: 5.3613 - val_distribution_lambda_26_loss: 2.8399 - val_distribution_lambda_27_loss: 1.9699 - val_distribution_lambda_28_loss: 0.5515\n",
+ "Epoch 267/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4038 - distribution_lambda_26_loss: 2.8583 - distribution_lambda_27_loss: 1.9958 - distribution_lambda_28_loss: 0.5497 - val_loss: 5.3574 - val_distribution_lambda_26_loss: 2.8377 - val_distribution_lambda_27_loss: 1.9682 - val_distribution_lambda_28_loss: 0.5516\n",
+ "Epoch 268/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4231 - distribution_lambda_26_loss: 2.8608 - distribution_lambda_27_loss: 2.0128 - distribution_lambda_28_loss: 0.5495 - val_loss: 5.3538 - val_distribution_lambda_26_loss: 2.8354 - val_distribution_lambda_27_loss: 1.9668 - val_distribution_lambda_28_loss: 0.5515\n",
+ "Epoch 269/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3826 - distribution_lambda_26_loss: 2.8502 - distribution_lambda_27_loss: 1.9854 - distribution_lambda_28_loss: 0.5470 - val_loss: 5.3503 - val_distribution_lambda_26_loss: 2.8332 - val_distribution_lambda_27_loss: 1.9656 - val_distribution_lambda_28_loss: 0.5515\n",
+ "Epoch 270/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3678 - distribution_lambda_26_loss: 2.8497 - distribution_lambda_27_loss: 1.9753 - distribution_lambda_28_loss: 0.5428 - val_loss: 5.3467 - val_distribution_lambda_26_loss: 2.8309 - val_distribution_lambda_27_loss: 1.9644 - val_distribution_lambda_28_loss: 0.5514\n",
+ "Epoch 271/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3741 - distribution_lambda_26_loss: 2.8492 - distribution_lambda_27_loss: 1.9848 - distribution_lambda_28_loss: 0.5401 - val_loss: 5.3430 - val_distribution_lambda_26_loss: 2.8287 - val_distribution_lambda_27_loss: 1.9630 - val_distribution_lambda_28_loss: 0.5514\n",
+ "Epoch 272/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3615 - distribution_lambda_26_loss: 2.8463 - distribution_lambda_27_loss: 1.9719 - distribution_lambda_28_loss: 0.5432 - val_loss: 5.3390 - val_distribution_lambda_26_loss: 2.8264 - val_distribution_lambda_27_loss: 1.9613 - val_distribution_lambda_28_loss: 0.5513\n",
+ "Epoch 273/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3622 - distribution_lambda_26_loss: 2.8455 - distribution_lambda_27_loss: 1.9691 - distribution_lambda_28_loss: 0.5476 - val_loss: 5.3350 - val_distribution_lambda_26_loss: 2.8241 - val_distribution_lambda_27_loss: 1.9596 - val_distribution_lambda_28_loss: 0.5513\n",
+ "Epoch 274/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3657 - distribution_lambda_26_loss: 2.8403 - distribution_lambda_27_loss: 1.9772 - distribution_lambda_28_loss: 0.5482 - val_loss: 5.3308 - val_distribution_lambda_26_loss: 2.8219 - val_distribution_lambda_27_loss: 1.9578 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 275/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.3588 - distribution_lambda_26_loss: 2.8368 - distribution_lambda_27_loss: 1.9758 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.3267 - val_distribution_lambda_26_loss: 2.8196 - val_distribution_lambda_27_loss: 1.9561 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 276/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3475 - distribution_lambda_26_loss: 2.8373 - distribution_lambda_27_loss: 1.9630 - distribution_lambda_28_loss: 0.5472 - val_loss: 5.3231 - val_distribution_lambda_26_loss: 2.8173 - val_distribution_lambda_27_loss: 1.9548 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 277/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3629 - distribution_lambda_26_loss: 2.8327 - distribution_lambda_27_loss: 1.9826 - distribution_lambda_28_loss: 0.5477 - val_loss: 5.3195 - val_distribution_lambda_26_loss: 2.8150 - val_distribution_lambda_27_loss: 1.9535 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 278/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3547 - distribution_lambda_26_loss: 2.8314 - distribution_lambda_27_loss: 1.9749 - distribution_lambda_28_loss: 0.5484 - val_loss: 5.3158 - val_distribution_lambda_26_loss: 2.8127 - val_distribution_lambda_27_loss: 1.9520 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 279/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3517 - distribution_lambda_26_loss: 2.8331 - distribution_lambda_27_loss: 1.9708 - distribution_lambda_28_loss: 0.5479 - val_loss: 5.3119 - val_distribution_lambda_26_loss: 2.8104 - val_distribution_lambda_27_loss: 1.9505 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 280/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3429 - distribution_lambda_26_loss: 2.8290 - distribution_lambda_27_loss: 1.9699 - distribution_lambda_28_loss: 0.5439 - val_loss: 5.3081 - val_distribution_lambda_26_loss: 2.8080 - val_distribution_lambda_27_loss: 1.9491 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 281/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3504 - distribution_lambda_26_loss: 2.8299 - distribution_lambda_27_loss: 1.9741 - distribution_lambda_28_loss: 0.5464 - val_loss: 5.3042 - val_distribution_lambda_26_loss: 2.8057 - val_distribution_lambda_27_loss: 1.9476 - val_distribution_lambda_28_loss: 0.5509\n",
+ "Epoch 282/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3580 - distribution_lambda_26_loss: 2.8234 - distribution_lambda_27_loss: 1.9875 - distribution_lambda_28_loss: 0.5471 - val_loss: 5.3000 - val_distribution_lambda_26_loss: 2.8034 - val_distribution_lambda_27_loss: 1.9457 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 283/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3440 - distribution_lambda_26_loss: 2.8204 - distribution_lambda_27_loss: 1.9787 - distribution_lambda_28_loss: 0.5449 - val_loss: 5.2963 - val_distribution_lambda_26_loss: 2.8010 - val_distribution_lambda_27_loss: 1.9443 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 284/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3394 - distribution_lambda_26_loss: 2.8160 - distribution_lambda_27_loss: 1.9764 - distribution_lambda_28_loss: 0.5470 - val_loss: 5.2926 - val_distribution_lambda_26_loss: 2.7986 - val_distribution_lambda_27_loss: 1.9428 - val_distribution_lambda_28_loss: 0.5512\n",
+ "Epoch 285/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3119 - distribution_lambda_26_loss: 2.8166 - distribution_lambda_27_loss: 1.9512 - distribution_lambda_28_loss: 0.5441 - val_loss: 5.2886 - val_distribution_lambda_26_loss: 2.7963 - val_distribution_lambda_27_loss: 1.9413 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 286/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3433 - distribution_lambda_26_loss: 2.8184 - distribution_lambda_27_loss: 1.9758 - distribution_lambda_28_loss: 0.5492 - val_loss: 5.2847 - val_distribution_lambda_26_loss: 2.7939 - val_distribution_lambda_27_loss: 1.9396 - val_distribution_lambda_28_loss: 0.5512\n",
+ "Epoch 287/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3138 - distribution_lambda_26_loss: 2.8094 - distribution_lambda_27_loss: 1.9555 - distribution_lambda_28_loss: 0.5489 - val_loss: 5.2807 - val_distribution_lambda_26_loss: 2.7915 - val_distribution_lambda_27_loss: 1.9381 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 288/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3188 - distribution_lambda_26_loss: 2.8080 - distribution_lambda_27_loss: 1.9621 - distribution_lambda_28_loss: 0.5486 - val_loss: 5.2766 - val_distribution_lambda_26_loss: 2.7891 - val_distribution_lambda_27_loss: 1.9364 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 289/2500\n"
+ ]
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+ "text": [
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+ "Epoch 290/2500\n",
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+ "Epoch 291/2500\n",
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+ "Epoch 292/2500\n",
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+ "Epoch 293/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2689 - distribution_lambda_26_loss: 2.7942 - distribution_lambda_27_loss: 1.9279 - distribution_lambda_28_loss: 0.5467 - val_loss: 5.2569 - val_distribution_lambda_26_loss: 2.7769 - val_distribution_lambda_27_loss: 1.9293 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 294/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2909 - distribution_lambda_26_loss: 2.7962 - distribution_lambda_27_loss: 1.9457 - distribution_lambda_28_loss: 0.5490 - val_loss: 5.2529 - val_distribution_lambda_26_loss: 2.7744 - val_distribution_lambda_27_loss: 1.9278 - val_distribution_lambda_28_loss: 0.5506\n",
+ "Epoch 295/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2771 - distribution_lambda_26_loss: 2.7905 - distribution_lambda_27_loss: 1.9449 - distribution_lambda_28_loss: 0.5417 - val_loss: 5.2487 - val_distribution_lambda_26_loss: 2.7720 - val_distribution_lambda_27_loss: 1.9261 - val_distribution_lambda_28_loss: 0.5506\n",
+ "Epoch 296/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2774 - distribution_lambda_26_loss: 2.7910 - distribution_lambda_27_loss: 1.9455 - distribution_lambda_28_loss: 0.5409 - val_loss: 5.2446 - val_distribution_lambda_26_loss: 2.7695 - val_distribution_lambda_27_loss: 1.9244 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 297/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2597 - distribution_lambda_26_loss: 2.7863 - distribution_lambda_27_loss: 1.9253 - distribution_lambda_28_loss: 0.5481 - val_loss: 5.2404 - val_distribution_lambda_26_loss: 2.7670 - val_distribution_lambda_27_loss: 1.9227 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 298/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2783 - distribution_lambda_26_loss: 2.7830 - distribution_lambda_27_loss: 1.9471 - distribution_lambda_28_loss: 0.5482 - val_loss: 5.2363 - val_distribution_lambda_26_loss: 2.7645 - val_distribution_lambda_27_loss: 1.9211 - val_distribution_lambda_28_loss: 0.5508\n",
+ "Epoch 299/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2835 - distribution_lambda_26_loss: 2.7845 - distribution_lambda_27_loss: 1.9500 - distribution_lambda_28_loss: 0.5489 - val_loss: 5.2323 - val_distribution_lambda_26_loss: 2.7620 - val_distribution_lambda_27_loss: 1.9196 - val_distribution_lambda_28_loss: 0.5508\n",
+ "Epoch 300/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2767 - distribution_lambda_26_loss: 2.7798 - distribution_lambda_27_loss: 1.9498 - distribution_lambda_28_loss: 0.5471 - val_loss: 5.2279 - val_distribution_lambda_26_loss: 2.7594 - val_distribution_lambda_27_loss: 1.9177 - val_distribution_lambda_28_loss: 0.5508\n",
+ "Epoch 301/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.2783 - distribution_lambda_26_loss: 2.7777 - distribution_lambda_27_loss: 1.9574 - distribution_lambda_28_loss: 0.5432 - val_loss: 5.2233 - val_distribution_lambda_26_loss: 2.7569 - val_distribution_lambda_27_loss: 1.9157 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 302/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2620 - distribution_lambda_26_loss: 2.7765 - distribution_lambda_27_loss: 1.9387 - distribution_lambda_28_loss: 0.5468 - val_loss: 5.2188 - val_distribution_lambda_26_loss: 2.7543 - val_distribution_lambda_27_loss: 1.9137 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 303/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.2479 - distribution_lambda_26_loss: 2.7715 - distribution_lambda_27_loss: 1.9302 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.2141 - val_distribution_lambda_26_loss: 2.7518 - val_distribution_lambda_27_loss: 1.9119 - val_distribution_lambda_28_loss: 0.5505\n",
+ "Epoch 304/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2521 - distribution_lambda_26_loss: 2.7699 - distribution_lambda_27_loss: 1.9350 - distribution_lambda_28_loss: 0.5472 - val_loss: 5.2098 - val_distribution_lambda_26_loss: 2.7492 - val_distribution_lambda_27_loss: 1.9101 - val_distribution_lambda_28_loss: 0.5505\n",
+ "Epoch 305/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2397 - distribution_lambda_26_loss: 2.7649 - distribution_lambda_27_loss: 1.9291 - distribution_lambda_28_loss: 0.5457 - val_loss: 5.2053 - val_distribution_lambda_26_loss: 2.7466 - val_distribution_lambda_27_loss: 1.9084 - val_distribution_lambda_28_loss: 0.5503\n",
+ "Epoch 306/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2389 - distribution_lambda_26_loss: 2.7633 - distribution_lambda_27_loss: 1.9309 - distribution_lambda_28_loss: 0.5447 - val_loss: 5.2008 - val_distribution_lambda_26_loss: 2.7440 - val_distribution_lambda_27_loss: 1.9065 - val_distribution_lambda_28_loss: 0.5503\n",
+ "Epoch 307/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2263 - distribution_lambda_26_loss: 2.7628 - distribution_lambda_27_loss: 1.9200 - distribution_lambda_28_loss: 0.5434 - val_loss: 5.1964 - val_distribution_lambda_26_loss: 2.7414 - val_distribution_lambda_27_loss: 1.9049 - val_distribution_lambda_28_loss: 0.5501\n",
+ "Epoch 308/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2368 - distribution_lambda_26_loss: 2.7602 - distribution_lambda_27_loss: 1.9308 - distribution_lambda_28_loss: 0.5458 - val_loss: 5.1923 - val_distribution_lambda_26_loss: 2.7387 - val_distribution_lambda_27_loss: 1.9036 - val_distribution_lambda_28_loss: 0.5500\n",
+ "Epoch 309/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2157 - distribution_lambda_26_loss: 2.7547 - distribution_lambda_27_loss: 1.9167 - distribution_lambda_28_loss: 0.5443 - val_loss: 5.1881 - val_distribution_lambda_26_loss: 2.7361 - val_distribution_lambda_27_loss: 1.9021 - val_distribution_lambda_28_loss: 0.5499\n",
+ "Epoch 310/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2305 - distribution_lambda_26_loss: 2.7546 - distribution_lambda_27_loss: 1.9297 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.1839 - val_distribution_lambda_26_loss: 2.7334 - val_distribution_lambda_27_loss: 1.9007 - val_distribution_lambda_28_loss: 0.5498\n",
+ "Epoch 311/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1935 - distribution_lambda_26_loss: 2.7472 - distribution_lambda_27_loss: 1.9036 - distribution_lambda_28_loss: 0.5427 - val_loss: 5.1793 - val_distribution_lambda_26_loss: 2.7308 - val_distribution_lambda_27_loss: 1.8989 - val_distribution_lambda_28_loss: 0.5497\n",
+ "Epoch 312/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1952 - distribution_lambda_26_loss: 2.7444 - distribution_lambda_27_loss: 1.9100 - distribution_lambda_28_loss: 0.5408 - val_loss: 5.1747 - val_distribution_lambda_26_loss: 2.7281 - val_distribution_lambda_27_loss: 1.8970 - val_distribution_lambda_28_loss: 0.5496\n",
+ "Epoch 313/2500\n"
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+ "Epoch 314/2500\n",
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+ "Epoch 316/2500\n",
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+ "Epoch 317/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.1782 - distribution_lambda_26_loss: 2.7311 - distribution_lambda_27_loss: 1.9018 - distribution_lambda_28_loss: 0.5452 - val_loss: 5.1518 - val_distribution_lambda_26_loss: 2.7145 - val_distribution_lambda_27_loss: 1.8879 - val_distribution_lambda_28_loss: 0.5494\n",
+ "Epoch 318/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2114 - distribution_lambda_26_loss: 2.7300 - distribution_lambda_27_loss: 1.9336 - distribution_lambda_28_loss: 0.5478 - val_loss: 5.1475 - val_distribution_lambda_26_loss: 2.7117 - val_distribution_lambda_27_loss: 1.8864 - val_distribution_lambda_28_loss: 0.5494\n",
+ "Epoch 319/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1867 - distribution_lambda_26_loss: 2.7282 - distribution_lambda_27_loss: 1.9174 - distribution_lambda_28_loss: 0.5412 - val_loss: 5.1429 - val_distribution_lambda_26_loss: 2.7089 - val_distribution_lambda_27_loss: 1.8848 - val_distribution_lambda_28_loss: 0.5492\n",
+ "Epoch 320/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1778 - distribution_lambda_26_loss: 2.7241 - distribution_lambda_27_loss: 1.9144 - distribution_lambda_28_loss: 0.5394 - val_loss: 5.1382 - val_distribution_lambda_26_loss: 2.7061 - val_distribution_lambda_27_loss: 1.8831 - val_distribution_lambda_28_loss: 0.5490\n",
+ "Epoch 321/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1689 - distribution_lambda_26_loss: 2.7208 - distribution_lambda_27_loss: 1.9052 - distribution_lambda_28_loss: 0.5429 - val_loss: 5.1337 - val_distribution_lambda_26_loss: 2.7033 - val_distribution_lambda_27_loss: 1.8815 - val_distribution_lambda_28_loss: 0.5489\n",
+ "Epoch 322/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1701 - distribution_lambda_26_loss: 2.7159 - distribution_lambda_27_loss: 1.9095 - distribution_lambda_28_loss: 0.5448 - val_loss: 5.1292 - val_distribution_lambda_26_loss: 2.7005 - val_distribution_lambda_27_loss: 1.8799 - val_distribution_lambda_28_loss: 0.5488\n",
+ "Epoch 323/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1761 - distribution_lambda_26_loss: 2.7182 - distribution_lambda_27_loss: 1.9170 - distribution_lambda_28_loss: 0.5409 - val_loss: 5.1244 - val_distribution_lambda_26_loss: 2.6976 - val_distribution_lambda_27_loss: 1.8780 - val_distribution_lambda_28_loss: 0.5488\n",
+ "Epoch 324/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.1731 - distribution_lambda_26_loss: 2.7134 - distribution_lambda_27_loss: 1.9131 - distribution_lambda_28_loss: 0.5466 - val_loss: 5.1196 - val_distribution_lambda_26_loss: 2.6948 - val_distribution_lambda_27_loss: 1.8761 - val_distribution_lambda_28_loss: 0.5488\n",
+ "Epoch 325/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1464 - distribution_lambda_26_loss: 2.7142 - distribution_lambda_27_loss: 1.8917 - distribution_lambda_28_loss: 0.5405 - val_loss: 5.1150 - val_distribution_lambda_26_loss: 2.6919 - val_distribution_lambda_27_loss: 1.8744 - val_distribution_lambda_28_loss: 0.5486\n",
+ "Epoch 326/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1687 - distribution_lambda_26_loss: 2.7093 - distribution_lambda_27_loss: 1.9153 - distribution_lambda_28_loss: 0.5440 - val_loss: 5.1105 - val_distribution_lambda_26_loss: 2.6890 - val_distribution_lambda_27_loss: 1.8729 - val_distribution_lambda_28_loss: 0.5486\n",
+ "Epoch 327/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.1532 - distribution_lambda_26_loss: 2.7032 - distribution_lambda_27_loss: 1.9081 - distribution_lambda_28_loss: 0.5419 - val_loss: 5.1055 - val_distribution_lambda_26_loss: 2.6861 - val_distribution_lambda_27_loss: 1.8711 - val_distribution_lambda_28_loss: 0.5483\n",
+ "Epoch 328/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1426 - distribution_lambda_26_loss: 2.6988 - distribution_lambda_27_loss: 1.9018 - distribution_lambda_28_loss: 0.5421 - val_loss: 5.1005 - val_distribution_lambda_26_loss: 2.6832 - val_distribution_lambda_27_loss: 1.8693 - val_distribution_lambda_28_loss: 0.5480\n",
+ "Epoch 329/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1305 - distribution_lambda_26_loss: 2.6991 - distribution_lambda_27_loss: 1.8890 - distribution_lambda_28_loss: 0.5425 - val_loss: 5.0958 - val_distribution_lambda_26_loss: 2.6802 - val_distribution_lambda_27_loss: 1.8676 - val_distribution_lambda_28_loss: 0.5479\n",
+ "Epoch 330/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1289 - distribution_lambda_26_loss: 2.6955 - distribution_lambda_27_loss: 1.8885 - distribution_lambda_28_loss: 0.5449 - val_loss: 5.0911 - val_distribution_lambda_26_loss: 2.6773 - val_distribution_lambda_27_loss: 1.8660 - val_distribution_lambda_28_loss: 0.5478\n",
+ "Epoch 331/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1341 - distribution_lambda_26_loss: 2.6923 - distribution_lambda_27_loss: 1.8993 - distribution_lambda_28_loss: 0.5425 - val_loss: 5.0865 - val_distribution_lambda_26_loss: 2.6743 - val_distribution_lambda_27_loss: 1.8644 - val_distribution_lambda_28_loss: 0.5478\n",
+ "Epoch 332/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1192 - distribution_lambda_26_loss: 2.6901 - distribution_lambda_27_loss: 1.8890 - distribution_lambda_28_loss: 0.5401 - val_loss: 5.0817 - val_distribution_lambda_26_loss: 2.6713 - val_distribution_lambda_27_loss: 1.8628 - val_distribution_lambda_28_loss: 0.5476\n",
+ "Epoch 333/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1263 - distribution_lambda_26_loss: 2.6908 - distribution_lambda_27_loss: 1.8950 - distribution_lambda_28_loss: 0.5405 - val_loss: 5.0773 - val_distribution_lambda_26_loss: 2.6683 - val_distribution_lambda_27_loss: 1.8617 - val_distribution_lambda_28_loss: 0.5474\n",
+ "Epoch 334/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1177 - distribution_lambda_26_loss: 2.6833 - distribution_lambda_27_loss: 1.8909 - distribution_lambda_28_loss: 0.5434 - val_loss: 5.0729 - val_distribution_lambda_26_loss: 2.6652 - val_distribution_lambda_27_loss: 1.8604 - val_distribution_lambda_28_loss: 0.5473\n",
+ "Epoch 335/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.0959 - distribution_lambda_26_loss: 2.6794 - distribution_lambda_27_loss: 1.8705 - distribution_lambda_28_loss: 0.5460 - val_loss: 5.0681 - val_distribution_lambda_26_loss: 2.6622 - val_distribution_lambda_27_loss: 1.8589 - val_distribution_lambda_28_loss: 0.5471\n",
+ "Epoch 336/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1345 - distribution_lambda_26_loss: 2.6786 - distribution_lambda_27_loss: 1.9136 - distribution_lambda_28_loss: 0.5424 - val_loss: 5.0637 - val_distribution_lambda_26_loss: 2.6591 - val_distribution_lambda_27_loss: 1.8576 - val_distribution_lambda_28_loss: 0.5470\n",
+ "Epoch 337/2500\n"
+ ]
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+ "text": [
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+ "Epoch 338/2500\n",
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+ "Epoch 342/2500\n",
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+ "Epoch 343/2500\n",
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+ "Epoch 345/2500\n",
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+ "Epoch 346/2500\n",
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+ "Epoch 347/2500\n",
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+ "Epoch 348/2500\n",
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+ "Epoch 349/2500\n",
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+ "Epoch 351/2500\n",
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+ "Epoch 352/2500\n",
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+ "Epoch 353/2500\n",
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+ "Epoch 354/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.0416 - distribution_lambda_26_loss: 2.6208 - distribution_lambda_27_loss: 1.8726 - distribution_lambda_28_loss: 0.5482 - val_loss: 4.9758 - val_distribution_lambda_26_loss: 2.6006 - val_distribution_lambda_27_loss: 1.8307 - val_distribution_lambda_28_loss: 0.5445\n",
+ "Epoch 355/2500\n",
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+ "Epoch 356/2500\n",
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+ "Epoch 357/2500\n",
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+ "Epoch 358/2500\n",
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+ "Epoch 359/2500\n",
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+ "Epoch 360/2500\n",
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+ "Epoch 361/2500\n"
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+ "Epoch 369/2500\n",
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+ "Epoch 370/2500\n",
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+ "Epoch 371/2500\n",
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+ "Epoch 372/2500\n",
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+ "Epoch 374/2500\n",
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+ "Epoch 375/2500\n",
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+ "Epoch 376/2500\n",
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+ "Epoch 377/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.8994 - distribution_lambda_26_loss: 2.5318 - distribution_lambda_27_loss: 1.8297 - distribution_lambda_28_loss: 0.5378 - val_loss: 4.8561 - val_distribution_lambda_26_loss: 2.5157 - val_distribution_lambda_27_loss: 1.7996 - val_distribution_lambda_28_loss: 0.5408\n",
+ "Epoch 378/2500\n",
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+ "Epoch 379/2500\n",
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+ "Epoch 380/2500\n",
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+ "Epoch 381/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.8701 - distribution_lambda_26_loss: 2.5178 - distribution_lambda_27_loss: 1.8137 - distribution_lambda_28_loss: 0.5386 - val_loss: 4.8345 - val_distribution_lambda_26_loss: 2.4996 - val_distribution_lambda_27_loss: 1.7948 - val_distribution_lambda_28_loss: 0.5401\n",
+ "Epoch 382/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.8731 - distribution_lambda_26_loss: 2.5150 - distribution_lambda_27_loss: 1.8150 - distribution_lambda_28_loss: 0.5431 - val_loss: 4.8289 - val_distribution_lambda_26_loss: 2.4955 - val_distribution_lambda_27_loss: 1.7934 - val_distribution_lambda_28_loss: 0.5400\n",
+ "Epoch 383/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.8721 - distribution_lambda_26_loss: 2.5105 - distribution_lambda_27_loss: 1.8221 - distribution_lambda_28_loss: 0.5394 - val_loss: 4.8232 - val_distribution_lambda_26_loss: 2.4914 - val_distribution_lambda_27_loss: 1.7920 - val_distribution_lambda_28_loss: 0.5398\n",
+ "Epoch 384/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 4.8660 - distribution_lambda_26_loss: 2.5057 - distribution_lambda_27_loss: 1.8234 - distribution_lambda_28_loss: 0.5370 - val_loss: 4.8177 - val_distribution_lambda_26_loss: 2.4872 - val_distribution_lambda_27_loss: 1.7909 - val_distribution_lambda_28_loss: 0.5396\n",
+ "Epoch 385/2500\n"
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+ "Epoch 393/2500\n",
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+ "Epoch 394/2500\n",
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+ "Epoch 395/2500\n",
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+ "Epoch 396/2500\n",
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+ "Epoch 397/2500\n",
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+ "Epoch 398/2500\n",
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+ "Epoch 399/2500\n",
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+ "Epoch 400/2500\n",
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+ "Epoch 401/2500\n",
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+ "Epoch 402/2500\n",
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+ "Epoch 403/2500\n",
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+ "Epoch 404/2500\n",
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+ "Epoch 405/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.7490 - distribution_lambda_26_loss: 2.4133 - distribution_lambda_27_loss: 1.8001 - distribution_lambda_28_loss: 0.5356 - val_loss: 4.6966 - val_distribution_lambda_26_loss: 2.3941 - val_distribution_lambda_27_loss: 1.7660 - val_distribution_lambda_28_loss: 0.5365\n",
+ "Epoch 406/2500\n",
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+ "Epoch 407/2500\n",
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+ "Epoch 408/2500\n",
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+ "Epoch 409/2500\n"
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+ "Epoch 418/2500\n",
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+ "Epoch 419/2500\n",
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+ "Epoch 420/2500\n",
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+ "Epoch 421/2500\n",
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+ "Epoch 422/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.6475 - distribution_lambda_26_loss: 2.3300 - distribution_lambda_27_loss: 1.7871 - distribution_lambda_28_loss: 0.5304 - val_loss: 4.5894 - val_distribution_lambda_26_loss: 2.3097 - val_distribution_lambda_27_loss: 1.7449 - val_distribution_lambda_28_loss: 0.5348\n",
+ "Epoch 423/2500\n",
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+ "Epoch 424/2500\n",
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+ "Epoch 425/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.6128 - distribution_lambda_26_loss: 2.3127 - distribution_lambda_27_loss: 1.7682 - distribution_lambda_28_loss: 0.5318 - val_loss: 4.5692 - val_distribution_lambda_26_loss: 2.2939 - val_distribution_lambda_27_loss: 1.7409 - val_distribution_lambda_28_loss: 0.5344\n",
+ "Epoch 426/2500\n",
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+ "Epoch 427/2500\n",
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+ "Epoch 428/2500\n",
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+ "Epoch 429/2500\n",
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+ "Epoch 430/2500\n",
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+ "Epoch 431/2500\n",
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+ "Epoch 432/2500\n",
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+ "Epoch 433/2500\n"
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+ "Epoch 438/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5345 - distribution_lambda_26_loss: 2.2401 - distribution_lambda_27_loss: 1.7645 - distribution_lambda_28_loss: 0.5299 - val_loss: 4.4809 - val_distribution_lambda_26_loss: 2.2228 - val_distribution_lambda_27_loss: 1.7249 - val_distribution_lambda_28_loss: 0.5333\n",
+ "Epoch 439/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5094 - distribution_lambda_26_loss: 2.2349 - distribution_lambda_27_loss: 1.7487 - distribution_lambda_28_loss: 0.5257 - val_loss: 4.4738 - val_distribution_lambda_26_loss: 2.2172 - val_distribution_lambda_27_loss: 1.7236 - val_distribution_lambda_28_loss: 0.5331\n",
+ "Epoch 440/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5321 - distribution_lambda_26_loss: 2.2308 - distribution_lambda_27_loss: 1.7710 - distribution_lambda_28_loss: 0.5303 - val_loss: 4.4665 - val_distribution_lambda_26_loss: 2.2115 - val_distribution_lambda_27_loss: 1.7221 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 441/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.5177 - distribution_lambda_26_loss: 2.2263 - distribution_lambda_27_loss: 1.7611 - distribution_lambda_28_loss: 0.5303 - val_loss: 4.4601 - val_distribution_lambda_26_loss: 2.2058 - val_distribution_lambda_27_loss: 1.7214 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 442/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.5094 - distribution_lambda_26_loss: 2.2190 - distribution_lambda_27_loss: 1.7587 - distribution_lambda_28_loss: 0.5317 - val_loss: 4.4528 - val_distribution_lambda_26_loss: 2.2000 - val_distribution_lambda_27_loss: 1.7197 - val_distribution_lambda_28_loss: 0.5331\n",
+ "Epoch 443/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5032 - distribution_lambda_26_loss: 2.2137 - distribution_lambda_27_loss: 1.7636 - distribution_lambda_28_loss: 0.5260 - val_loss: 4.4452 - val_distribution_lambda_26_loss: 2.1943 - val_distribution_lambda_27_loss: 1.7180 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 444/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4962 - distribution_lambda_26_loss: 2.2068 - distribution_lambda_27_loss: 1.7546 - distribution_lambda_28_loss: 0.5348 - val_loss: 4.4380 - val_distribution_lambda_26_loss: 2.1885 - val_distribution_lambda_27_loss: 1.7166 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 445/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4527 - distribution_lambda_26_loss: 2.2011 - distribution_lambda_27_loss: 1.7241 - distribution_lambda_28_loss: 0.5276 - val_loss: 4.4309 - val_distribution_lambda_26_loss: 2.1827 - val_distribution_lambda_27_loss: 1.7153 - val_distribution_lambda_28_loss: 0.5329\n",
+ "Epoch 446/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4635 - distribution_lambda_26_loss: 2.1961 - distribution_lambda_27_loss: 1.7393 - distribution_lambda_28_loss: 0.5281 - val_loss: 4.4237 - val_distribution_lambda_26_loss: 2.1768 - val_distribution_lambda_27_loss: 1.7140 - val_distribution_lambda_28_loss: 0.5329\n",
+ "Epoch 447/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4765 - distribution_lambda_26_loss: 2.1903 - distribution_lambda_27_loss: 1.7525 - distribution_lambda_28_loss: 0.5337 - val_loss: 4.4166 - val_distribution_lambda_26_loss: 2.1710 - val_distribution_lambda_27_loss: 1.7128 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 448/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4802 - distribution_lambda_26_loss: 2.1864 - distribution_lambda_27_loss: 1.7641 - distribution_lambda_28_loss: 0.5297 - val_loss: 4.4094 - val_distribution_lambda_26_loss: 2.1651 - val_distribution_lambda_27_loss: 1.7115 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 449/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4600 - distribution_lambda_26_loss: 2.1774 - distribution_lambda_27_loss: 1.7492 - distribution_lambda_28_loss: 0.5334 - val_loss: 4.4021 - val_distribution_lambda_26_loss: 2.1592 - val_distribution_lambda_27_loss: 1.7102 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 450/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4401 - distribution_lambda_26_loss: 2.1730 - distribution_lambda_27_loss: 1.7439 - distribution_lambda_28_loss: 0.5231 - val_loss: 4.3947 - val_distribution_lambda_26_loss: 2.1532 - val_distribution_lambda_27_loss: 1.7089 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 451/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4304 - distribution_lambda_26_loss: 2.1650 - distribution_lambda_27_loss: 1.7410 - distribution_lambda_28_loss: 0.5244 - val_loss: 4.3873 - val_distribution_lambda_26_loss: 2.1473 - val_distribution_lambda_27_loss: 1.7074 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 452/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4628 - distribution_lambda_26_loss: 2.1640 - distribution_lambda_27_loss: 1.7653 - distribution_lambda_28_loss: 0.5335 - val_loss: 4.3802 - val_distribution_lambda_26_loss: 2.1413 - val_distribution_lambda_27_loss: 1.7062 - val_distribution_lambda_28_loss: 0.5327\n",
+ "Epoch 453/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4238 - distribution_lambda_26_loss: 2.1551 - distribution_lambda_27_loss: 1.7499 - distribution_lambda_28_loss: 0.5188 - val_loss: 4.3723 - val_distribution_lambda_26_loss: 2.1353 - val_distribution_lambda_27_loss: 1.7043 - val_distribution_lambda_28_loss: 0.5327\n",
+ "Epoch 454/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.3983 - distribution_lambda_26_loss: 2.1490 - distribution_lambda_27_loss: 1.7248 - distribution_lambda_28_loss: 0.5246 - val_loss: 4.3646 - val_distribution_lambda_26_loss: 2.1292 - val_distribution_lambda_27_loss: 1.7026 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 455/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3877 - distribution_lambda_26_loss: 2.1420 - distribution_lambda_27_loss: 1.7231 - distribution_lambda_28_loss: 0.5227 - val_loss: 4.3568 - val_distribution_lambda_26_loss: 2.1232 - val_distribution_lambda_27_loss: 1.7010 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 456/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4004 - distribution_lambda_26_loss: 2.1380 - distribution_lambda_27_loss: 1.7312 - distribution_lambda_28_loss: 0.5312 - val_loss: 4.3490 - val_distribution_lambda_26_loss: 2.1171 - val_distribution_lambda_27_loss: 1.6994 - val_distribution_lambda_28_loss: 0.5325\n",
+ "Epoch 457/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
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+ "Epoch 458/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.3890 - distribution_lambda_26_loss: 2.1236 - distribution_lambda_27_loss: 1.7370 - distribution_lambda_28_loss: 0.5284 - val_loss: 4.3346 - val_distribution_lambda_26_loss: 2.1048 - val_distribution_lambda_27_loss: 1.6972 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 459/2500\n",
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+ "Epoch 460/2500\n",
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+ "Epoch 461/2500\n",
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+ "Epoch 462/2500\n",
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+ "Epoch 463/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3477 - distribution_lambda_26_loss: 2.0933 - distribution_lambda_27_loss: 1.7221 - distribution_lambda_28_loss: 0.5323 - val_loss: 4.2963 - val_distribution_lambda_26_loss: 2.0738 - val_distribution_lambda_27_loss: 1.6903 - val_distribution_lambda_28_loss: 0.5322\n",
+ "Epoch 464/2500\n",
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+ "Epoch 465/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3115 - distribution_lambda_26_loss: 2.0819 - distribution_lambda_27_loss: 1.7042 - distribution_lambda_28_loss: 0.5254 - val_loss: 4.2805 - val_distribution_lambda_26_loss: 2.0613 - val_distribution_lambda_27_loss: 1.6871 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 466/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3241 - distribution_lambda_26_loss: 2.0734 - distribution_lambda_27_loss: 1.7197 - distribution_lambda_28_loss: 0.5311 - val_loss: 4.2727 - val_distribution_lambda_26_loss: 2.0550 - val_distribution_lambda_27_loss: 1.6856 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 467/2500\n",
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+ "Epoch 468/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3123 - distribution_lambda_26_loss: 2.0610 - distribution_lambda_27_loss: 1.7297 - distribution_lambda_28_loss: 0.5217 - val_loss: 4.2575 - val_distribution_lambda_26_loss: 2.0423 - val_distribution_lambda_27_loss: 1.6831 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 469/2500\n",
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+ "Epoch 470/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2991 - distribution_lambda_26_loss: 2.0487 - distribution_lambda_27_loss: 1.7185 - distribution_lambda_28_loss: 0.5319 - val_loss: 4.2422 - val_distribution_lambda_26_loss: 2.0295 - val_distribution_lambda_27_loss: 1.6806 - val_distribution_lambda_28_loss: 0.5322\n",
+ "Epoch 471/2500\n",
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+ "Epoch 472/2500\n",
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+ "Epoch 473/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2610 - distribution_lambda_26_loss: 2.0294 - distribution_lambda_27_loss: 1.7055 - distribution_lambda_28_loss: 0.5261 - val_loss: 4.2181 - val_distribution_lambda_26_loss: 2.0102 - val_distribution_lambda_27_loss: 1.6758 - val_distribution_lambda_28_loss: 0.5320\n",
+ "Epoch 474/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2583 - distribution_lambda_26_loss: 2.0230 - distribution_lambda_27_loss: 1.7060 - distribution_lambda_28_loss: 0.5293 - val_loss: 4.2102 - val_distribution_lambda_26_loss: 2.0037 - val_distribution_lambda_27_loss: 1.6744 - val_distribution_lambda_28_loss: 0.5320\n",
+ "Epoch 475/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2467 - distribution_lambda_26_loss: 2.0170 - distribution_lambda_27_loss: 1.7049 - distribution_lambda_28_loss: 0.5248 - val_loss: 4.2023 - val_distribution_lambda_26_loss: 1.9972 - val_distribution_lambda_27_loss: 1.6730 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 476/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2343 - distribution_lambda_26_loss: 2.0099 - distribution_lambda_27_loss: 1.6990 - distribution_lambda_28_loss: 0.5253 - val_loss: 4.1944 - val_distribution_lambda_26_loss: 1.9907 - val_distribution_lambda_27_loss: 1.6716 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 477/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2142 - distribution_lambda_26_loss: 2.0026 - distribution_lambda_27_loss: 1.6882 - distribution_lambda_28_loss: 0.5234 - val_loss: 4.1862 - val_distribution_lambda_26_loss: 1.9842 - val_distribution_lambda_27_loss: 1.6698 - val_distribution_lambda_28_loss: 0.5322\n",
+ "Epoch 478/2500\n",
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+ "Epoch 479/2500\n",
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+ "Epoch 480/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2024 - distribution_lambda_26_loss: 1.9831 - distribution_lambda_27_loss: 1.6898 - distribution_lambda_28_loss: 0.5294 - val_loss: 4.1624 - val_distribution_lambda_26_loss: 1.9645 - val_distribution_lambda_27_loss: 1.6656 - val_distribution_lambda_28_loss: 0.5323\n",
+ "Epoch 481/2500\n"
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+ "Epoch 482/2500\n",
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+ "Epoch 483/2500\n",
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+ "Epoch 484/2500\n",
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+ "Epoch 485/2500\n",
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+ "Epoch 486/2500\n",
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+ "Epoch 487/2500\n",
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+ "Epoch 488/2500\n",
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+ "Epoch 489/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1147 - distribution_lambda_26_loss: 1.9233 - distribution_lambda_27_loss: 1.6712 - distribution_lambda_28_loss: 0.5203 - val_loss: 4.0876 - val_distribution_lambda_26_loss: 1.9043 - val_distribution_lambda_27_loss: 1.6515 - val_distribution_lambda_28_loss: 0.5318\n",
+ "Epoch 490/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1142 - distribution_lambda_26_loss: 1.9163 - distribution_lambda_27_loss: 1.6824 - distribution_lambda_28_loss: 0.5155 - val_loss: 4.0793 - val_distribution_lambda_26_loss: 1.8976 - val_distribution_lambda_27_loss: 1.6500 - val_distribution_lambda_28_loss: 0.5317\n",
+ "Epoch 491/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1075 - distribution_lambda_26_loss: 1.9092 - distribution_lambda_27_loss: 1.6729 - distribution_lambda_28_loss: 0.5254 - val_loss: 4.0710 - val_distribution_lambda_26_loss: 1.8908 - val_distribution_lambda_27_loss: 1.6487 - val_distribution_lambda_28_loss: 0.5315\n",
+ "Epoch 492/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.1042 - distribution_lambda_26_loss: 1.9047 - distribution_lambda_27_loss: 1.6813 - distribution_lambda_28_loss: 0.5181 - val_loss: 4.0628 - val_distribution_lambda_26_loss: 1.8840 - val_distribution_lambda_27_loss: 1.6472 - val_distribution_lambda_28_loss: 0.5316\n",
+ "Epoch 493/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0889 - distribution_lambda_26_loss: 1.8972 - distribution_lambda_27_loss: 1.6702 - distribution_lambda_28_loss: 0.5215 - val_loss: 4.0547 - val_distribution_lambda_26_loss: 1.8772 - val_distribution_lambda_27_loss: 1.6461 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 494/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1028 - distribution_lambda_26_loss: 1.8921 - distribution_lambda_27_loss: 1.6886 - distribution_lambda_28_loss: 0.5220 - val_loss: 4.0468 - val_distribution_lambda_26_loss: 1.8703 - val_distribution_lambda_27_loss: 1.6451 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 495/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.0693 - distribution_lambda_26_loss: 1.8829 - distribution_lambda_27_loss: 1.6642 - distribution_lambda_28_loss: 0.5222 - val_loss: 4.0388 - val_distribution_lambda_26_loss: 1.8635 - val_distribution_lambda_27_loss: 1.6438 - val_distribution_lambda_28_loss: 0.5315\n",
+ "Epoch 496/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0724 - distribution_lambda_26_loss: 1.8746 - distribution_lambda_27_loss: 1.6727 - distribution_lambda_28_loss: 0.5251 - val_loss: 4.0311 - val_distribution_lambda_26_loss: 1.8566 - val_distribution_lambda_27_loss: 1.6429 - val_distribution_lambda_28_loss: 0.5315\n",
+ "Epoch 497/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0608 - distribution_lambda_26_loss: 1.8689 - distribution_lambda_27_loss: 1.6681 - distribution_lambda_28_loss: 0.5238 - val_loss: 4.0230 - val_distribution_lambda_26_loss: 1.8498 - val_distribution_lambda_27_loss: 1.6418 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 498/2500\n",
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+ "Epoch 499/2500\n",
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+ "Epoch 500/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0335 - distribution_lambda_26_loss: 1.8484 - distribution_lambda_27_loss: 1.6629 - distribution_lambda_28_loss: 0.5223 - val_loss: 3.9983 - val_distribution_lambda_26_loss: 1.8290 - val_distribution_lambda_27_loss: 1.6378 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 501/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0318 - distribution_lambda_26_loss: 1.8404 - distribution_lambda_27_loss: 1.6713 - distribution_lambda_28_loss: 0.5201 - val_loss: 3.9894 - val_distribution_lambda_26_loss: 1.8221 - val_distribution_lambda_27_loss: 1.6362 - val_distribution_lambda_28_loss: 0.5311\n",
+ "Epoch 502/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0309 - distribution_lambda_26_loss: 1.8351 - distribution_lambda_27_loss: 1.6706 - distribution_lambda_28_loss: 0.5252 - val_loss: 3.9810 - val_distribution_lambda_26_loss: 1.8152 - val_distribution_lambda_27_loss: 1.6348 - val_distribution_lambda_28_loss: 0.5310\n",
+ "Epoch 503/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0240 - distribution_lambda_26_loss: 1.8271 - distribution_lambda_27_loss: 1.6739 - distribution_lambda_28_loss: 0.5229 - val_loss: 3.9728 - val_distribution_lambda_26_loss: 1.8082 - val_distribution_lambda_27_loss: 1.6338 - val_distribution_lambda_28_loss: 0.5309\n",
+ "Epoch 504/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0048 - distribution_lambda_26_loss: 1.8215 - distribution_lambda_27_loss: 1.6624 - distribution_lambda_28_loss: 0.5209 - val_loss: 3.9649 - val_distribution_lambda_26_loss: 1.8012 - val_distribution_lambda_27_loss: 1.6328 - val_distribution_lambda_28_loss: 0.5308\n",
+ "Epoch 505/2500\n"
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+ "Epoch 511/2500\n",
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+ "Epoch 513/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.9157 - distribution_lambda_26_loss: 1.7549 - distribution_lambda_27_loss: 1.6427 - distribution_lambda_28_loss: 0.5181 - val_loss: 3.8907 - val_distribution_lambda_26_loss: 1.7380 - val_distribution_lambda_27_loss: 1.6232 - val_distribution_lambda_28_loss: 0.5295\n",
+ "Epoch 514/2500\n",
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+ "Epoch 515/2500\n",
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+ "Epoch 516/2500\n",
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+ "Epoch 517/2500\n",
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+ "Epoch 518/2500\n",
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+ "Epoch 519/2500\n",
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+ "Epoch 520/2500\n",
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+ "Epoch 521/2500\n",
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+ "Epoch 522/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 3.8455 - distribution_lambda_26_loss: 1.6907 - distribution_lambda_27_loss: 1.6368 - distribution_lambda_28_loss: 0.5180 - val_loss: 3.8170 - val_distribution_lambda_26_loss: 1.6743 - val_distribution_lambda_27_loss: 1.6145 - val_distribution_lambda_28_loss: 0.5281\n",
+ "Epoch 523/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.8343 - distribution_lambda_26_loss: 1.6828 - distribution_lambda_27_loss: 1.6372 - distribution_lambda_28_loss: 0.5143 - val_loss: 3.8088 - val_distribution_lambda_26_loss: 1.6673 - val_distribution_lambda_27_loss: 1.6137 - val_distribution_lambda_28_loss: 0.5279\n",
+ "Epoch 524/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.8342 - distribution_lambda_26_loss: 1.6766 - distribution_lambda_27_loss: 1.6415 - distribution_lambda_28_loss: 0.5162 - val_loss: 3.8008 - val_distribution_lambda_26_loss: 1.6602 - val_distribution_lambda_27_loss: 1.6129 - val_distribution_lambda_28_loss: 0.5277\n",
+ "Epoch 525/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.8395 - distribution_lambda_26_loss: 1.6698 - distribution_lambda_27_loss: 1.6455 - distribution_lambda_28_loss: 0.5241 - val_loss: 3.7927 - val_distribution_lambda_26_loss: 1.6531 - val_distribution_lambda_27_loss: 1.6119 - val_distribution_lambda_28_loss: 0.5277\n",
+ "Epoch 526/2500\n",
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+ "Epoch 527/2500\n",
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+ "Epoch 528/2500\n",
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+ "Epoch 529/2500\n"
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+ "Epoch 534/2500\n",
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+ "Epoch 536/2500\n",
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+ "Epoch 537/2500\n",
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+ "Epoch 538/2500\n",
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+ "Epoch 539/2500\n",
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+ "Epoch 540/2500\n",
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+ "Epoch 541/2500\n",
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+ "Epoch 542/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6885 - distribution_lambda_26_loss: 1.5446 - distribution_lambda_27_loss: 1.6284 - distribution_lambda_28_loss: 0.5155 - val_loss: 3.6560 - val_distribution_lambda_26_loss: 1.5330 - val_distribution_lambda_27_loss: 1.5975 - val_distribution_lambda_28_loss: 0.5255\n",
+ "Epoch 543/2500\n",
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+ "Epoch 544/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6635 - distribution_lambda_26_loss: 1.5300 - distribution_lambda_27_loss: 1.6167 - distribution_lambda_28_loss: 0.5167 - val_loss: 3.6397 - val_distribution_lambda_26_loss: 1.5185 - val_distribution_lambda_27_loss: 1.5964 - val_distribution_lambda_28_loss: 0.5248\n",
+ "Epoch 545/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6638 - distribution_lambda_26_loss: 1.5233 - distribution_lambda_27_loss: 1.6263 - distribution_lambda_28_loss: 0.5142 - val_loss: 3.6314 - val_distribution_lambda_26_loss: 1.5110 - val_distribution_lambda_27_loss: 1.5957 - val_distribution_lambda_28_loss: 0.5246\n",
+ "Epoch 546/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6467 - distribution_lambda_26_loss: 1.5142 - distribution_lambda_27_loss: 1.6183 - distribution_lambda_28_loss: 0.5142 - val_loss: 3.6229 - val_distribution_lambda_26_loss: 1.5035 - val_distribution_lambda_27_loss: 1.5951 - val_distribution_lambda_28_loss: 0.5242\n",
+ "Epoch 547/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6405 - distribution_lambda_26_loss: 1.5073 - distribution_lambda_27_loss: 1.6142 - distribution_lambda_28_loss: 0.5190 - val_loss: 3.6142 - val_distribution_lambda_26_loss: 1.4957 - val_distribution_lambda_27_loss: 1.5942 - val_distribution_lambda_28_loss: 0.5243\n",
+ "Epoch 548/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6244 - distribution_lambda_26_loss: 1.4968 - distribution_lambda_27_loss: 1.6124 - distribution_lambda_28_loss: 0.5151 - val_loss: 3.6055 - val_distribution_lambda_26_loss: 1.4877 - val_distribution_lambda_27_loss: 1.5936 - val_distribution_lambda_28_loss: 0.5242\n",
+ "Epoch 549/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6162 - distribution_lambda_26_loss: 1.4882 - distribution_lambda_27_loss: 1.6111 - distribution_lambda_28_loss: 0.5169 - val_loss: 3.5965 - val_distribution_lambda_26_loss: 1.4792 - val_distribution_lambda_27_loss: 1.5934 - val_distribution_lambda_28_loss: 0.5239\n",
+ "Epoch 550/2500\n",
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+ "Epoch 551/2500\n",
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+ "Epoch 552/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.5721 - distribution_lambda_26_loss: 1.4605 - distribution_lambda_27_loss: 1.6004 - distribution_lambda_28_loss: 0.5112 - val_loss: 3.5652 - val_distribution_lambda_26_loss: 1.4499 - val_distribution_lambda_27_loss: 1.5918 - val_distribution_lambda_28_loss: 0.5235\n",
+ "Epoch 553/2500\n"
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+ "Epoch 557/2500\n",
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+ "Epoch 558/2500\n",
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+ "Epoch 559/2500\n",
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+ "Epoch 560/2500\n",
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+ "Epoch 561/2500\n",
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+ "Epoch 562/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.4564 - distribution_lambda_26_loss: 1.3404 - distribution_lambda_27_loss: 1.6019 - distribution_lambda_28_loss: 0.5141 - val_loss: 3.4472 - val_distribution_lambda_26_loss: 1.3398 - val_distribution_lambda_27_loss: 1.5854 - val_distribution_lambda_28_loss: 0.5220\n",
+ "Epoch 563/2500\n",
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+ "Epoch 564/2500\n",
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+ "Epoch 565/2500\n",
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+ "Epoch 566/2500\n",
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+ "Epoch 567/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.4069 - distribution_lambda_26_loss: 1.2888 - distribution_lambda_27_loss: 1.6055 - distribution_lambda_28_loss: 0.5126 - val_loss: 3.4004 - val_distribution_lambda_26_loss: 1.2977 - val_distribution_lambda_27_loss: 1.5819 - val_distribution_lambda_28_loss: 0.5209\n",
+ "Epoch 568/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3927 - distribution_lambda_26_loss: 1.2802 - distribution_lambda_27_loss: 1.6030 - distribution_lambda_28_loss: 0.5095 - val_loss: 3.3927 - val_distribution_lambda_26_loss: 1.2905 - val_distribution_lambda_27_loss: 1.5817 - val_distribution_lambda_28_loss: 0.5205\n",
+ "Epoch 569/2500\n",
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+ "Epoch 570/2500\n",
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+ "Epoch 571/2500\n",
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+ "Epoch 572/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3369 - distribution_lambda_26_loss: 1.2428 - distribution_lambda_27_loss: 1.5855 - distribution_lambda_28_loss: 0.5085 - val_loss: 3.3637 - val_distribution_lambda_26_loss: 1.2632 - val_distribution_lambda_27_loss: 1.5804 - val_distribution_lambda_28_loss: 0.5202\n",
+ "Epoch 573/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3348 - distribution_lambda_26_loss: 1.2381 - distribution_lambda_27_loss: 1.5829 - distribution_lambda_28_loss: 0.5138 - val_loss: 3.3560 - val_distribution_lambda_26_loss: 1.2564 - val_distribution_lambda_27_loss: 1.5796 - val_distribution_lambda_28_loss: 0.5201\n",
+ "Epoch 574/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3420 - distribution_lambda_26_loss: 1.2299 - distribution_lambda_27_loss: 1.5991 - distribution_lambda_28_loss: 0.5130 - val_loss: 3.3490 - val_distribution_lambda_26_loss: 1.2495 - val_distribution_lambda_27_loss: 1.5790 - val_distribution_lambda_28_loss: 0.5205\n",
+ "Epoch 575/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3073 - distribution_lambda_26_loss: 1.2219 - distribution_lambda_27_loss: 1.5796 - distribution_lambda_28_loss: 0.5058 - val_loss: 3.3413 - val_distribution_lambda_26_loss: 1.2428 - val_distribution_lambda_27_loss: 1.5784 - val_distribution_lambda_28_loss: 0.5201\n",
+ "Epoch 576/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3291 - distribution_lambda_26_loss: 1.2137 - distribution_lambda_27_loss: 1.5984 - distribution_lambda_28_loss: 0.5169 - val_loss: 3.3334 - val_distribution_lambda_26_loss: 1.2360 - val_distribution_lambda_27_loss: 1.5775 - val_distribution_lambda_28_loss: 0.5199\n",
+ "Epoch 577/2500\n"
+ ]
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+ "Epoch 585/2500\n",
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+ "Epoch 586/2500\n",
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+ "Epoch 588/2500\n",
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+ "Epoch 589/2500\n",
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+ "Epoch 591/2500\n",
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+ "Epoch 593/2500\n",
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+ "Epoch 594/2500\n",
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+ "Epoch 595/2500\n",
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+ "Epoch 596/2500\n",
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+ "Epoch 597/2500\n",
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+ "Epoch 599/2500\n",
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+ "Epoch 600/2500\n",
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+ "Epoch 601/2500\n"
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+ "Epoch 611/2500\n",
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+ "Epoch 612/2500\n",
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+ "Epoch 614/2500\n",
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+ "Epoch 615/2500\n",
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+ "Epoch 616/2500\n",
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+ "Epoch 617/2500\n",
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+ "Epoch 618/2500\n",
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+ "Epoch 623/2500\n",
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+ "Epoch 624/2500\n",
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+ "Epoch 625/2500\n"
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+ "Epoch 633/2500\n",
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+ "Epoch 642/2500\n",
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+ "Epoch 643/2500\n",
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+ "Epoch 644/2500\n",
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+ "Epoch 645/2500\n",
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+ "Epoch 646/2500\n",
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+ "Epoch 647/2500\n",
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+ "Epoch 648/2500\n",
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+ "Epoch 649/2500\n"
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+ "Epoch 659/2500\n",
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+ "Epoch 660/2500\n",
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+ "Epoch 661/2500\n",
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+ "Epoch 662/2500\n",
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+ "Epoch 663/2500\n",
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+ "Epoch 664/2500\n",
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+ "Epoch 665/2500\n",
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+ "Epoch 666/2500\n",
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+ "Epoch 667/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.8377 - distribution_lambda_26_loss: 0.8217 - distribution_lambda_27_loss: 1.5260 - distribution_lambda_28_loss: 0.4900 - val_loss: 2.9136 - val_distribution_lambda_26_loss: 0.8749 - val_distribution_lambda_27_loss: 1.5378 - val_distribution_lambda_28_loss: 0.5008\n",
+ "Epoch 668/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.8330 - distribution_lambda_26_loss: 0.8222 - distribution_lambda_27_loss: 1.5300 - distribution_lambda_28_loss: 0.4808 - val_loss: 2.9106 - val_distribution_lambda_26_loss: 0.8726 - val_distribution_lambda_27_loss: 1.5372 - val_distribution_lambda_28_loss: 0.5008\n",
+ "Epoch 669/2500\n",
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+ "Epoch 670/2500\n",
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+ "Epoch 671/2500\n",
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+ "Epoch 672/2500\n",
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+ "Epoch 673/2500\n"
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+ "Epoch 677/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7864 - distribution_lambda_26_loss: 0.7913 - distribution_lambda_27_loss: 1.5064 - distribution_lambda_28_loss: 0.4886 - val_loss: 2.8883 - val_distribution_lambda_26_loss: 0.8536 - val_distribution_lambda_27_loss: 1.5341 - val_distribution_lambda_28_loss: 0.5007\n",
+ "Epoch 678/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.8152 - distribution_lambda_26_loss: 0.8038 - distribution_lambda_27_loss: 1.5253 - distribution_lambda_28_loss: 0.4861 - val_loss: 2.8864 - val_distribution_lambda_26_loss: 0.8519 - val_distribution_lambda_27_loss: 1.5345 - val_distribution_lambda_28_loss: 0.4999\n",
+ "Epoch 679/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7932 - distribution_lambda_26_loss: 0.7927 - distribution_lambda_27_loss: 1.5103 - distribution_lambda_28_loss: 0.4902 - val_loss: 2.8826 - val_distribution_lambda_26_loss: 0.8486 - val_distribution_lambda_27_loss: 1.5346 - val_distribution_lambda_28_loss: 0.4994\n",
+ "Epoch 680/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7905 - distribution_lambda_26_loss: 0.7831 - distribution_lambda_27_loss: 1.5149 - distribution_lambda_28_loss: 0.4925 - val_loss: 2.8809 - val_distribution_lambda_26_loss: 0.8469 - val_distribution_lambda_27_loss: 1.5344 - val_distribution_lambda_28_loss: 0.4996\n",
+ "Epoch 681/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7726 - distribution_lambda_26_loss: 0.7912 - distribution_lambda_27_loss: 1.5028 - distribution_lambda_28_loss: 0.4786 - val_loss: 2.8753 - val_distribution_lambda_26_loss: 0.8414 - val_distribution_lambda_27_loss: 1.5339 - val_distribution_lambda_28_loss: 0.5000\n",
+ "Epoch 682/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7718 - distribution_lambda_26_loss: 0.7842 - distribution_lambda_27_loss: 1.5118 - distribution_lambda_28_loss: 0.4758 - val_loss: 2.8681 - val_distribution_lambda_26_loss: 0.8352 - val_distribution_lambda_27_loss: 1.5333 - val_distribution_lambda_28_loss: 0.4995\n",
+ "Epoch 683/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7734 - distribution_lambda_26_loss: 0.7756 - distribution_lambda_27_loss: 1.5114 - distribution_lambda_28_loss: 0.4864 - val_loss: 2.8615 - val_distribution_lambda_26_loss: 0.8296 - val_distribution_lambda_27_loss: 1.5332 - val_distribution_lambda_28_loss: 0.4987\n",
+ "Epoch 684/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7645 - distribution_lambda_26_loss: 0.7787 - distribution_lambda_27_loss: 1.5043 - distribution_lambda_28_loss: 0.4815 - val_loss: 2.8597 - val_distribution_lambda_26_loss: 0.8278 - val_distribution_lambda_27_loss: 1.5332 - val_distribution_lambda_28_loss: 0.4987\n",
+ "Epoch 685/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7587 - distribution_lambda_26_loss: 0.7837 - distribution_lambda_27_loss: 1.4983 - distribution_lambda_28_loss: 0.4767 - val_loss: 2.8574 - val_distribution_lambda_26_loss: 0.8262 - val_distribution_lambda_27_loss: 1.5328 - val_distribution_lambda_28_loss: 0.4985\n",
+ "Epoch 686/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7680 - distribution_lambda_26_loss: 0.7784 - distribution_lambda_27_loss: 1.5091 - distribution_lambda_28_loss: 0.4806 - val_loss: 2.8553 - val_distribution_lambda_26_loss: 0.8252 - val_distribution_lambda_27_loss: 1.5320 - val_distribution_lambda_28_loss: 0.4981\n",
+ "Epoch 687/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7611 - distribution_lambda_26_loss: 0.7731 - distribution_lambda_27_loss: 1.5071 - distribution_lambda_28_loss: 0.4809 - val_loss: 2.8493 - val_distribution_lambda_26_loss: 0.8209 - val_distribution_lambda_27_loss: 1.5303 - val_distribution_lambda_28_loss: 0.4982\n",
+ "Epoch 688/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7661 - distribution_lambda_26_loss: 0.7752 - distribution_lambda_27_loss: 1.5071 - distribution_lambda_28_loss: 0.4837 - val_loss: 2.8475 - val_distribution_lambda_26_loss: 0.8199 - val_distribution_lambda_27_loss: 1.5301 - val_distribution_lambda_28_loss: 0.4975\n",
+ "Epoch 689/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7455 - distribution_lambda_26_loss: 0.7723 - distribution_lambda_27_loss: 1.4937 - distribution_lambda_28_loss: 0.4795 - val_loss: 2.8462 - val_distribution_lambda_26_loss: 0.8192 - val_distribution_lambda_27_loss: 1.5299 - val_distribution_lambda_28_loss: 0.4971\n",
+ "Epoch 690/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7388 - distribution_lambda_26_loss: 0.7547 - distribution_lambda_27_loss: 1.5036 - distribution_lambda_28_loss: 0.4805 - val_loss: 2.8427 - val_distribution_lambda_26_loss: 0.8157 - val_distribution_lambda_27_loss: 1.5302 - val_distribution_lambda_28_loss: 0.4968\n",
+ "Epoch 691/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7572 - distribution_lambda_26_loss: 0.7553 - distribution_lambda_27_loss: 1.5154 - distribution_lambda_28_loss: 0.4865 - val_loss: 2.8415 - val_distribution_lambda_26_loss: 0.8142 - val_distribution_lambda_27_loss: 1.5299 - val_distribution_lambda_28_loss: 0.4974\n",
+ "Epoch 692/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7743 - distribution_lambda_26_loss: 0.7819 - distribution_lambda_27_loss: 1.5157 - distribution_lambda_28_loss: 0.4767 - val_loss: 2.8409 - val_distribution_lambda_26_loss: 0.8138 - val_distribution_lambda_27_loss: 1.5294 - val_distribution_lambda_28_loss: 0.4977\n",
+ "Epoch 693/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7274 - distribution_lambda_26_loss: 0.7504 - distribution_lambda_27_loss: 1.5069 - distribution_lambda_28_loss: 0.4701 - val_loss: 2.8374 - val_distribution_lambda_26_loss: 0.8115 - val_distribution_lambda_27_loss: 1.5286 - val_distribution_lambda_28_loss: 0.4973\n",
+ "Epoch 694/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7377 - distribution_lambda_26_loss: 0.7568 - distribution_lambda_27_loss: 1.5033 - distribution_lambda_28_loss: 0.4776 - val_loss: 2.8347 - val_distribution_lambda_26_loss: 0.8094 - val_distribution_lambda_27_loss: 1.5280 - val_distribution_lambda_28_loss: 0.4973\n",
+ "Epoch 695/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7461 - distribution_lambda_26_loss: 0.7540 - distribution_lambda_27_loss: 1.5065 - distribution_lambda_28_loss: 0.4856 - val_loss: 2.8313 - val_distribution_lambda_26_loss: 0.8061 - val_distribution_lambda_27_loss: 1.5286 - val_distribution_lambda_28_loss: 0.4967\n",
+ "Epoch 696/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.7388 - distribution_lambda_26_loss: 0.7565 - distribution_lambda_27_loss: 1.5014 - distribution_lambda_28_loss: 0.4808 - val_loss: 2.8290 - val_distribution_lambda_26_loss: 0.8042 - val_distribution_lambda_27_loss: 1.5286 - val_distribution_lambda_28_loss: 0.4962\n",
+ "Epoch 697/2500\n"
+ ]
+ },
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+ "text": [
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+ "Epoch 698/2500\n",
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+ "Epoch 705/2500\n",
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+ "Epoch 706/2500\n",
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+ "Epoch 707/2500\n",
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+ "Epoch 708/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.6801 - distribution_lambda_26_loss: 0.7191 - distribution_lambda_27_loss: 1.4888 - distribution_lambda_28_loss: 0.4722 - val_loss: 2.8063 - val_distribution_lambda_26_loss: 0.7857 - val_distribution_lambda_27_loss: 1.5267 - val_distribution_lambda_28_loss: 0.4938\n",
+ "Epoch 709/2500\n",
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+ "Epoch 710/2500\n",
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+ "Epoch 711/2500\n",
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+ "Epoch 712/2500\n",
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+ "Epoch 713/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 2.7005 - distribution_lambda_26_loss: 0.7266 - distribution_lambda_27_loss: 1.5015 - distribution_lambda_28_loss: 0.4725 - val_loss: 2.7943 - val_distribution_lambda_26_loss: 0.7748 - val_distribution_lambda_27_loss: 1.5264 - val_distribution_lambda_28_loss: 0.4931\n",
+ "Epoch 714/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.6819 - distribution_lambda_26_loss: 0.7069 - distribution_lambda_27_loss: 1.5039 - distribution_lambda_28_loss: 0.4711 - val_loss: 2.7930 - val_distribution_lambda_26_loss: 0.7742 - val_distribution_lambda_27_loss: 1.5258 - val_distribution_lambda_28_loss: 0.4930\n",
+ "Epoch 715/2500\n",
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+ "Epoch 716/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.6849 - distribution_lambda_26_loss: 0.7166 - distribution_lambda_27_loss: 1.4913 - distribution_lambda_28_loss: 0.4770 - val_loss: 2.7898 - val_distribution_lambda_26_loss: 0.7727 - val_distribution_lambda_27_loss: 1.5249 - val_distribution_lambda_28_loss: 0.4922\n",
+ "Epoch 717/2500\n",
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+ "Epoch 718/2500\n",
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+ "Epoch 719/2500\n",
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+ "Epoch 720/2500\n",
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+ "Epoch 721/2500\n"
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+ "Epoch 727/2500\n",
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+ "Epoch 729/2500\n",
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+ "Epoch 730/2500\n",
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+ "Epoch 731/2500\n",
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+ "Epoch 732/2500\n",
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+ "Epoch 733/2500\n",
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+ "Epoch 734/2500\n",
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+ "Epoch 735/2500\n",
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+ "Epoch 736/2500\n",
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+ "Epoch 765/2500\n",
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+ "Epoch 796/2500\n",
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+ "Epoch 797/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5455 - distribution_lambda_26_loss: 0.6210 - distribution_lambda_27_loss: 1.4661 - distribution_lambda_28_loss: 0.4585 - val_loss: 2.6692 - val_distribution_lambda_26_loss: 0.6837 - val_distribution_lambda_27_loss: 1.5133 - val_distribution_lambda_28_loss: 0.4722\n",
+ "Epoch 798/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5374 - distribution_lambda_26_loss: 0.6170 - distribution_lambda_27_loss: 1.4653 - distribution_lambda_28_loss: 0.4550 - val_loss: 2.6688 - val_distribution_lambda_26_loss: 0.6829 - val_distribution_lambda_27_loss: 1.5140 - val_distribution_lambda_28_loss: 0.4719\n",
+ "Epoch 799/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5198 - distribution_lambda_26_loss: 0.6165 - distribution_lambda_27_loss: 1.4530 - distribution_lambda_28_loss: 0.4503 - val_loss: 2.6655 - val_distribution_lambda_26_loss: 0.6808 - val_distribution_lambda_27_loss: 1.5123 - val_distribution_lambda_28_loss: 0.4724\n",
+ "Epoch 800/2500\n",
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+ "Epoch 801/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5543 - distribution_lambda_26_loss: 0.6215 - distribution_lambda_27_loss: 1.4705 - distribution_lambda_28_loss: 0.4623 - val_loss: 2.6621 - val_distribution_lambda_26_loss: 0.6788 - val_distribution_lambda_27_loss: 1.5119 - val_distribution_lambda_28_loss: 0.4714\n",
+ "Epoch 802/2500\n",
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+ "Epoch 803/2500\n",
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+ "Epoch 804/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5211 - distribution_lambda_26_loss: 0.6134 - distribution_lambda_27_loss: 1.4596 - distribution_lambda_28_loss: 0.4481 - val_loss: 2.6560 - val_distribution_lambda_26_loss: 0.6722 - val_distribution_lambda_27_loss: 1.5123 - val_distribution_lambda_28_loss: 0.4714\n",
+ "Epoch 805/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5259 - distribution_lambda_26_loss: 0.6153 - distribution_lambda_27_loss: 1.4614 - distribution_lambda_28_loss: 0.4492 - val_loss: 2.6568 - val_distribution_lambda_26_loss: 0.6730 - val_distribution_lambda_27_loss: 1.5125 - val_distribution_lambda_28_loss: 0.4714\n",
+ "Epoch 806/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5282 - distribution_lambda_26_loss: 0.6194 - distribution_lambda_27_loss: 1.4620 - distribution_lambda_28_loss: 0.4467 - val_loss: 2.6566 - val_distribution_lambda_26_loss: 0.6731 - val_distribution_lambda_27_loss: 1.5128 - val_distribution_lambda_28_loss: 0.4707\n",
+ "Epoch 807/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5248 - distribution_lambda_26_loss: 0.6321 - distribution_lambda_27_loss: 1.4505 - distribution_lambda_28_loss: 0.4422 - val_loss: 2.6558 - val_distribution_lambda_26_loss: 0.6722 - val_distribution_lambda_27_loss: 1.5130 - val_distribution_lambda_28_loss: 0.4706\n",
+ "Epoch 808/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5061 - distribution_lambda_26_loss: 0.6022 - distribution_lambda_27_loss: 1.4614 - distribution_lambda_28_loss: 0.4425 - val_loss: 2.6547 - val_distribution_lambda_26_loss: 0.6717 - val_distribution_lambda_27_loss: 1.5123 - val_distribution_lambda_28_loss: 0.4707\n",
+ "Epoch 809/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5277 - distribution_lambda_26_loss: 0.6195 - distribution_lambda_27_loss: 1.4602 - distribution_lambda_28_loss: 0.4480 - val_loss: 2.6532 - val_distribution_lambda_26_loss: 0.6715 - val_distribution_lambda_27_loss: 1.5111 - val_distribution_lambda_28_loss: 0.4706\n",
+ "Epoch 810/2500\n",
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+ "Epoch 811/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5051 - distribution_lambda_26_loss: 0.6101 - distribution_lambda_27_loss: 1.4510 - distribution_lambda_28_loss: 0.4440 - val_loss: 2.6494 - val_distribution_lambda_26_loss: 0.6687 - val_distribution_lambda_27_loss: 1.5097 - val_distribution_lambda_28_loss: 0.4709\n",
+ "Epoch 812/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5127 - distribution_lambda_26_loss: 0.6221 - distribution_lambda_27_loss: 1.4453 - distribution_lambda_28_loss: 0.4453 - val_loss: 2.6491 - val_distribution_lambda_26_loss: 0.6693 - val_distribution_lambda_27_loss: 1.5090 - val_distribution_lambda_28_loss: 0.4708\n",
+ "Epoch 813/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4967 - distribution_lambda_26_loss: 0.6011 - distribution_lambda_27_loss: 1.4532 - distribution_lambda_28_loss: 0.4423 - val_loss: 2.6491 - val_distribution_lambda_26_loss: 0.6702 - val_distribution_lambda_27_loss: 1.5091 - val_distribution_lambda_28_loss: 0.4699\n",
+ "Epoch 814/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4721 - distribution_lambda_26_loss: 0.6078 - distribution_lambda_27_loss: 1.4307 - distribution_lambda_28_loss: 0.4337 - val_loss: 2.6479 - val_distribution_lambda_26_loss: 0.6687 - val_distribution_lambda_27_loss: 1.5091 - val_distribution_lambda_28_loss: 0.4702\n",
+ "Epoch 815/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4890 - distribution_lambda_26_loss: 0.6004 - distribution_lambda_27_loss: 1.4405 - distribution_lambda_28_loss: 0.4481 - val_loss: 2.6487 - val_distribution_lambda_26_loss: 0.6699 - val_distribution_lambda_27_loss: 1.5098 - val_distribution_lambda_28_loss: 0.4691\n",
+ "Epoch 816/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5284 - distribution_lambda_26_loss: 0.6107 - distribution_lambda_27_loss: 1.4669 - distribution_lambda_28_loss: 0.4509 - val_loss: 2.6440 - val_distribution_lambda_26_loss: 0.6664 - val_distribution_lambda_27_loss: 1.5085 - val_distribution_lambda_28_loss: 0.4691\n",
+ "Epoch 817/2500\n"
+ ]
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+ "Epoch 824/2500\n",
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+ "Epoch 825/2500\n",
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+ "Epoch 826/2500\n",
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+ "Epoch 827/2500\n",
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+ "Epoch 828/2500\n",
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+ "Epoch 829/2500\n",
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+ "Epoch 830/2500\n",
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+ "Epoch 831/2500\n",
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+ "Epoch 832/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.4923 - distribution_lambda_26_loss: 0.6111 - distribution_lambda_27_loss: 1.4433 - distribution_lambda_28_loss: 0.4378 - val_loss: 2.6342 - val_distribution_lambda_26_loss: 0.6590 - val_distribution_lambda_27_loss: 1.5067 - val_distribution_lambda_28_loss: 0.4686\n",
+ "Epoch 833/2500\n",
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+ "Epoch 834/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5126 - distribution_lambda_26_loss: 0.5998 - distribution_lambda_27_loss: 1.4661 - distribution_lambda_28_loss: 0.4467 - val_loss: 2.6322 - val_distribution_lambda_26_loss: 0.6584 - val_distribution_lambda_27_loss: 1.5062 - val_distribution_lambda_28_loss: 0.4676\n",
+ "Epoch 835/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4927 - distribution_lambda_26_loss: 0.5915 - distribution_lambda_27_loss: 1.4554 - distribution_lambda_28_loss: 0.4457 - val_loss: 2.6320 - val_distribution_lambda_26_loss: 0.6583 - val_distribution_lambda_27_loss: 1.5069 - val_distribution_lambda_28_loss: 0.4669\n",
+ "Epoch 836/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4705 - distribution_lambda_26_loss: 0.5918 - distribution_lambda_27_loss: 1.4413 - distribution_lambda_28_loss: 0.4375 - val_loss: 2.6320 - val_distribution_lambda_26_loss: 0.6581 - val_distribution_lambda_27_loss: 1.5068 - val_distribution_lambda_28_loss: 0.4671\n",
+ "Epoch 837/2500\n",
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+ "Epoch 838/2500\n",
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+ "Epoch 839/2500\n",
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+ "Epoch 840/2500\n",
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+ "Epoch 841/2500\n"
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+ "Epoch 846/2500\n",
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+ "Epoch 849/2500\n",
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+ "Epoch 850/2500\n",
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+ "Epoch 851/2500\n",
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+ "Epoch 852/2500\n",
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+ "Epoch 853/2500\n",
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+ "Epoch 854/2500\n",
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+ "Epoch 855/2500\n",
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+ "Epoch 856/2500\n",
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+ "Epoch 861/2500\n",
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+ "Epoch 882/2500\n",
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+ "Epoch 883/2500\n",
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+ "Epoch 884/2500\n",
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+ "Epoch 885/2500\n",
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+ "Epoch 886/2500\n",
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+ "Epoch 887/2500\n",
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+ "Epoch 888/2500\n",
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+ "Epoch 897/2500\n",
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+ "Epoch 898/2500\n",
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+ "Epoch 899/2500\n",
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+ "Epoch 900/2500\n",
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+ "Epoch 901/2500\n",
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+ "Epoch 902/2500\n",
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+ "Epoch 903/2500\n",
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+ "Epoch 904/2500\n",
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+ "Epoch 905/2500\n",
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+ "Epoch 906/2500\n",
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+ "Epoch 907/2500\n",
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+ "Epoch 908/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3880 - distribution_lambda_26_loss: 0.5433 - distribution_lambda_27_loss: 1.4244 - distribution_lambda_28_loss: 0.4203 - val_loss: 2.5860 - val_distribution_lambda_26_loss: 0.6233 - val_distribution_lambda_27_loss: 1.4957 - val_distribution_lambda_28_loss: 0.4671\n",
+ "Epoch 909/2500\n",
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+ "Epoch 910/2500\n",
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+ "Epoch 911/2500\n",
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+ "Epoch 912/2500\n",
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+ "Epoch 915/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3946 - distribution_lambda_26_loss: 0.5479 - distribution_lambda_27_loss: 1.4218 - distribution_lambda_28_loss: 0.4249 - val_loss: 2.5777 - val_distribution_lambda_26_loss: 0.6149 - val_distribution_lambda_27_loss: 1.4925 - val_distribution_lambda_28_loss: 0.4702\n",
+ "Epoch 916/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3908 - distribution_lambda_26_loss: 0.5395 - distribution_lambda_27_loss: 1.4222 - distribution_lambda_28_loss: 0.4291 - val_loss: 2.5788 - val_distribution_lambda_26_loss: 0.6168 - val_distribution_lambda_27_loss: 1.4917 - val_distribution_lambda_28_loss: 0.4703\n",
+ "Epoch 917/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3720 - distribution_lambda_26_loss: 0.5401 - distribution_lambda_27_loss: 1.4235 - distribution_lambda_28_loss: 0.4085 - val_loss: 2.5772 - val_distribution_lambda_26_loss: 0.6149 - val_distribution_lambda_27_loss: 1.4922 - val_distribution_lambda_28_loss: 0.4701\n",
+ "Epoch 918/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.3988 - distribution_lambda_26_loss: 0.5431 - distribution_lambda_27_loss: 1.4244 - distribution_lambda_28_loss: 0.4313 - val_loss: 2.5765 - val_distribution_lambda_26_loss: 0.6155 - val_distribution_lambda_27_loss: 1.4909 - val_distribution_lambda_28_loss: 0.4701\n",
+ "Epoch 919/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3910 - distribution_lambda_26_loss: 0.5453 - distribution_lambda_27_loss: 1.4267 - distribution_lambda_28_loss: 0.4190 - val_loss: 2.5793 - val_distribution_lambda_26_loss: 0.6179 - val_distribution_lambda_27_loss: 1.4916 - val_distribution_lambda_28_loss: 0.4699\n",
+ "Epoch 920/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4018 - distribution_lambda_26_loss: 0.5384 - distribution_lambda_27_loss: 1.4383 - distribution_lambda_28_loss: 0.4250 - val_loss: 2.5775 - val_distribution_lambda_26_loss: 0.6179 - val_distribution_lambda_27_loss: 1.4894 - val_distribution_lambda_28_loss: 0.4702\n",
+ "Epoch 921/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3742 - distribution_lambda_26_loss: 0.5450 - distribution_lambda_27_loss: 1.4108 - distribution_lambda_28_loss: 0.4184 - val_loss: 2.5690 - val_distribution_lambda_26_loss: 0.6096 - val_distribution_lambda_27_loss: 1.4895 - val_distribution_lambda_28_loss: 0.4698\n",
+ "Epoch 922/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3837 - distribution_lambda_26_loss: 0.5360 - distribution_lambda_27_loss: 1.4214 - distribution_lambda_28_loss: 0.4263 - val_loss: 2.5682 - val_distribution_lambda_26_loss: 0.6066 - val_distribution_lambda_27_loss: 1.4917 - val_distribution_lambda_28_loss: 0.4700\n",
+ "Epoch 923/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3751 - distribution_lambda_26_loss: 0.5273 - distribution_lambda_27_loss: 1.4298 - distribution_lambda_28_loss: 0.4180 - val_loss: 2.5686 - val_distribution_lambda_26_loss: 0.6062 - val_distribution_lambda_27_loss: 1.4926 - val_distribution_lambda_28_loss: 0.4698\n",
+ "Epoch 924/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3543 - distribution_lambda_26_loss: 0.5334 - distribution_lambda_27_loss: 1.4068 - distribution_lambda_28_loss: 0.4140 - val_loss: 2.5687 - val_distribution_lambda_26_loss: 0.6072 - val_distribution_lambda_27_loss: 1.4913 - val_distribution_lambda_28_loss: 0.4703\n",
+ "Epoch 925/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3777 - distribution_lambda_26_loss: 0.5338 - distribution_lambda_27_loss: 1.4206 - distribution_lambda_28_loss: 0.4233 - val_loss: 2.5615 - val_distribution_lambda_26_loss: 0.6023 - val_distribution_lambda_27_loss: 1.4902 - val_distribution_lambda_28_loss: 0.4689\n",
+ "Epoch 926/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3557 - distribution_lambda_26_loss: 0.5294 - distribution_lambda_27_loss: 1.4057 - distribution_lambda_28_loss: 0.4205 - val_loss: 2.5622 - val_distribution_lambda_26_loss: 0.6037 - val_distribution_lambda_27_loss: 1.4901 - val_distribution_lambda_28_loss: 0.4685\n",
+ "Epoch 927/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3582 - distribution_lambda_26_loss: 0.5321 - distribution_lambda_27_loss: 1.4189 - distribution_lambda_28_loss: 0.4072 - val_loss: 2.5610 - val_distribution_lambda_26_loss: 0.6033 - val_distribution_lambda_27_loss: 1.4895 - val_distribution_lambda_28_loss: 0.4683\n",
+ "Epoch 928/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3382 - distribution_lambda_26_loss: 0.5152 - distribution_lambda_27_loss: 1.4097 - distribution_lambda_28_loss: 0.4132 - val_loss: 2.5579 - val_distribution_lambda_26_loss: 0.6013 - val_distribution_lambda_27_loss: 1.4890 - val_distribution_lambda_28_loss: 0.4676\n",
+ "Epoch 929/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3163 - distribution_lambda_26_loss: 0.5112 - distribution_lambda_27_loss: 1.4055 - distribution_lambda_28_loss: 0.3997 - val_loss: 2.5547 - val_distribution_lambda_26_loss: 0.5996 - val_distribution_lambda_27_loss: 1.4877 - val_distribution_lambda_28_loss: 0.4675\n",
+ "Epoch 930/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3581 - distribution_lambda_26_loss: 0.5170 - distribution_lambda_27_loss: 1.4170 - distribution_lambda_28_loss: 0.4241 - val_loss: 2.5549 - val_distribution_lambda_26_loss: 0.6001 - val_distribution_lambda_27_loss: 1.4871 - val_distribution_lambda_28_loss: 0.4677\n",
+ "Epoch 931/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3624 - distribution_lambda_26_loss: 0.5315 - distribution_lambda_27_loss: 1.4101 - distribution_lambda_28_loss: 0.4208 - val_loss: 2.5524 - val_distribution_lambda_26_loss: 0.5991 - val_distribution_lambda_27_loss: 1.4860 - val_distribution_lambda_28_loss: 0.4673\n",
+ "Epoch 932/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3550 - distribution_lambda_26_loss: 0.5230 - distribution_lambda_27_loss: 1.4199 - distribution_lambda_28_loss: 0.4121 - val_loss: 2.5518 - val_distribution_lambda_26_loss: 0.5969 - val_distribution_lambda_27_loss: 1.4874 - val_distribution_lambda_28_loss: 0.4675\n",
+ "Epoch 933/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3401 - distribution_lambda_26_loss: 0.5282 - distribution_lambda_27_loss: 1.4080 - distribution_lambda_28_loss: 0.4039 - val_loss: 2.5529 - val_distribution_lambda_26_loss: 0.5983 - val_distribution_lambda_27_loss: 1.4867 - val_distribution_lambda_28_loss: 0.4679\n",
+ "Epoch 934/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3800 - distribution_lambda_26_loss: 0.5371 - distribution_lambda_27_loss: 1.4241 - distribution_lambda_28_loss: 0.4188 - val_loss: 2.5470 - val_distribution_lambda_26_loss: 0.5944 - val_distribution_lambda_27_loss: 1.4857 - val_distribution_lambda_28_loss: 0.4668\n",
+ "Epoch 935/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3346 - distribution_lambda_26_loss: 0.5209 - distribution_lambda_27_loss: 1.4080 - distribution_lambda_28_loss: 0.4057 - val_loss: 2.5440 - val_distribution_lambda_26_loss: 0.5940 - val_distribution_lambda_27_loss: 1.4843 - val_distribution_lambda_28_loss: 0.4657\n",
+ "Epoch 936/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3559 - distribution_lambda_26_loss: 0.5238 - distribution_lambda_27_loss: 1.4207 - distribution_lambda_28_loss: 0.4114 - val_loss: 2.5480 - val_distribution_lambda_26_loss: 0.5954 - val_distribution_lambda_27_loss: 1.4869 - val_distribution_lambda_28_loss: 0.4657\n",
+ "Epoch 937/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
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+ "Epoch 938/2500\n",
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+ "Epoch 939/2500\n",
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+ "Epoch 940/2500\n",
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+ "Epoch 941/2500\n",
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+ "Epoch 942/2500\n",
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+ "Epoch 943/2500\n",
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+ "Epoch 944/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3114 - distribution_lambda_26_loss: 0.5094 - distribution_lambda_27_loss: 1.3996 - distribution_lambda_28_loss: 0.4024 - val_loss: 2.5310 - val_distribution_lambda_26_loss: 0.5872 - val_distribution_lambda_27_loss: 1.4796 - val_distribution_lambda_28_loss: 0.4642\n",
+ "Epoch 945/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.3253 - distribution_lambda_26_loss: 0.5180 - distribution_lambda_27_loss: 1.3958 - distribution_lambda_28_loss: 0.4115 - val_loss: 2.5250 - val_distribution_lambda_26_loss: 0.5846 - val_distribution_lambda_27_loss: 1.4768 - val_distribution_lambda_28_loss: 0.4637\n",
+ "Epoch 946/2500\n",
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+ "Epoch 947/2500\n",
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+ "Epoch 948/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3009 - distribution_lambda_26_loss: 0.5019 - distribution_lambda_27_loss: 1.3935 - distribution_lambda_28_loss: 0.4054 - val_loss: 2.5234 - val_distribution_lambda_26_loss: 0.5831 - val_distribution_lambda_27_loss: 1.4773 - val_distribution_lambda_28_loss: 0.4630\n",
+ "Epoch 949/2500\n",
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+ "Epoch 950/2500\n",
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+ "Epoch 951/2500\n",
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+ "Epoch 952/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3162 - distribution_lambda_26_loss: 0.5110 - distribution_lambda_27_loss: 1.4044 - distribution_lambda_28_loss: 0.4008 - val_loss: 2.5206 - val_distribution_lambda_26_loss: 0.5817 - val_distribution_lambda_27_loss: 1.4762 - val_distribution_lambda_28_loss: 0.4627\n",
+ "Epoch 953/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3241 - distribution_lambda_26_loss: 0.5184 - distribution_lambda_27_loss: 1.3982 - distribution_lambda_28_loss: 0.4074 - val_loss: 2.5130 - val_distribution_lambda_26_loss: 0.5740 - val_distribution_lambda_27_loss: 1.4761 - val_distribution_lambda_28_loss: 0.4630\n",
+ "Epoch 954/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3175 - distribution_lambda_26_loss: 0.5135 - distribution_lambda_27_loss: 1.4056 - distribution_lambda_28_loss: 0.3984 - val_loss: 2.5142 - val_distribution_lambda_26_loss: 0.5750 - val_distribution_lambda_27_loss: 1.4768 - val_distribution_lambda_28_loss: 0.4624\n",
+ "Epoch 955/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3237 - distribution_lambda_26_loss: 0.5062 - distribution_lambda_27_loss: 1.4072 - distribution_lambda_28_loss: 0.4104 - val_loss: 2.5129 - val_distribution_lambda_26_loss: 0.5746 - val_distribution_lambda_27_loss: 1.4770 - val_distribution_lambda_28_loss: 0.4613\n",
+ "Epoch 956/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2991 - distribution_lambda_26_loss: 0.5011 - distribution_lambda_27_loss: 1.3974 - distribution_lambda_28_loss: 0.4006 - val_loss: 2.5130 - val_distribution_lambda_26_loss: 0.5746 - val_distribution_lambda_27_loss: 1.4774 - val_distribution_lambda_28_loss: 0.4610\n",
+ "Epoch 957/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3367 - distribution_lambda_26_loss: 0.5112 - distribution_lambda_27_loss: 1.4139 - distribution_lambda_28_loss: 0.4116 - val_loss: 2.5104 - val_distribution_lambda_26_loss: 0.5732 - val_distribution_lambda_27_loss: 1.4767 - val_distribution_lambda_28_loss: 0.4606\n",
+ "Epoch 958/2500\n",
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+ "Epoch 959/2500\n",
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+ "Epoch 960/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2804 - distribution_lambda_26_loss: 0.4939 - distribution_lambda_27_loss: 1.3893 - distribution_lambda_28_loss: 0.3972 - val_loss: 2.5089 - val_distribution_lambda_26_loss: 0.5734 - val_distribution_lambda_27_loss: 1.4753 - val_distribution_lambda_28_loss: 0.4602\n",
+ "Epoch 961/2500\n"
+ ]
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+ "Epoch 962/2500\n",
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+ "Epoch 965/2500\n",
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+ "Epoch 966/2500\n",
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+ "Epoch 967/2500\n",
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+ "Epoch 968/2500\n",
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+ "Epoch 969/2500\n",
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+ "Epoch 970/2500\n",
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+ "Epoch 971/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3139 - distribution_lambda_26_loss: 0.4959 - distribution_lambda_27_loss: 1.4097 - distribution_lambda_28_loss: 0.4083 - val_loss: 2.4970 - val_distribution_lambda_26_loss: 0.5625 - val_distribution_lambda_27_loss: 1.4779 - val_distribution_lambda_28_loss: 0.4566\n",
+ "Epoch 972/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2787 - distribution_lambda_26_loss: 0.4875 - distribution_lambda_27_loss: 1.3935 - distribution_lambda_28_loss: 0.3977 - val_loss: 2.4927 - val_distribution_lambda_26_loss: 0.5580 - val_distribution_lambda_27_loss: 1.4777 - val_distribution_lambda_28_loss: 0.4570\n",
+ "Epoch 973/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2963 - distribution_lambda_26_loss: 0.4931 - distribution_lambda_27_loss: 1.4095 - distribution_lambda_28_loss: 0.3937 - val_loss: 2.4906 - val_distribution_lambda_26_loss: 0.5594 - val_distribution_lambda_27_loss: 1.4757 - val_distribution_lambda_28_loss: 0.4555\n",
+ "Epoch 974/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2986 - distribution_lambda_26_loss: 0.4895 - distribution_lambda_27_loss: 1.4028 - distribution_lambda_28_loss: 0.4063 - val_loss: 2.4838 - val_distribution_lambda_26_loss: 0.5574 - val_distribution_lambda_27_loss: 1.4717 - val_distribution_lambda_28_loss: 0.4547\n",
+ "Epoch 975/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2937 - distribution_lambda_26_loss: 0.4996 - distribution_lambda_27_loss: 1.3893 - distribution_lambda_28_loss: 0.4047 - val_loss: 2.4798 - val_distribution_lambda_26_loss: 0.5539 - val_distribution_lambda_27_loss: 1.4714 - val_distribution_lambda_28_loss: 0.4545\n",
+ "Epoch 976/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3242 - distribution_lambda_26_loss: 0.4898 - distribution_lambda_27_loss: 1.4196 - distribution_lambda_28_loss: 0.4149 - val_loss: 2.4863 - val_distribution_lambda_26_loss: 0.5547 - val_distribution_lambda_27_loss: 1.4761 - val_distribution_lambda_28_loss: 0.4554\n",
+ "Epoch 977/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2743 - distribution_lambda_26_loss: 0.4858 - distribution_lambda_27_loss: 1.3902 - distribution_lambda_28_loss: 0.3983 - val_loss: 2.4913 - val_distribution_lambda_26_loss: 0.5605 - val_distribution_lambda_27_loss: 1.4748 - val_distribution_lambda_28_loss: 0.4560\n",
+ "Epoch 978/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2518 - distribution_lambda_26_loss: 0.4865 - distribution_lambda_27_loss: 1.3771 - distribution_lambda_28_loss: 0.3882 - val_loss: 2.4849 - val_distribution_lambda_26_loss: 0.5561 - val_distribution_lambda_27_loss: 1.4728 - val_distribution_lambda_28_loss: 0.4560\n",
+ "Epoch 979/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2695 - distribution_lambda_26_loss: 0.4807 - distribution_lambda_27_loss: 1.3897 - distribution_lambda_28_loss: 0.3990 - val_loss: 2.4753 - val_distribution_lambda_26_loss: 0.5490 - val_distribution_lambda_27_loss: 1.4709 - val_distribution_lambda_28_loss: 0.4554\n",
+ "Epoch 980/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2833 - distribution_lambda_26_loss: 0.4969 - distribution_lambda_27_loss: 1.3953 - distribution_lambda_28_loss: 0.3911 - val_loss: 2.4729 - val_distribution_lambda_26_loss: 0.5445 - val_distribution_lambda_27_loss: 1.4744 - val_distribution_lambda_28_loss: 0.4540\n",
+ "Epoch 981/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2748 - distribution_lambda_26_loss: 0.4737 - distribution_lambda_27_loss: 1.3904 - distribution_lambda_28_loss: 0.4107 - val_loss: 2.4703 - val_distribution_lambda_26_loss: 0.5465 - val_distribution_lambda_27_loss: 1.4717 - val_distribution_lambda_28_loss: 0.4521\n",
+ "Epoch 982/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2723 - distribution_lambda_26_loss: 0.4740 - distribution_lambda_27_loss: 1.3898 - distribution_lambda_28_loss: 0.4085 - val_loss: 2.4676 - val_distribution_lambda_26_loss: 0.5483 - val_distribution_lambda_27_loss: 1.4685 - val_distribution_lambda_28_loss: 0.4508\n",
+ "Epoch 983/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2768 - distribution_lambda_26_loss: 0.4804 - distribution_lambda_27_loss: 1.4038 - distribution_lambda_28_loss: 0.3926 - val_loss: 2.4677 - val_distribution_lambda_26_loss: 0.5469 - val_distribution_lambda_27_loss: 1.4697 - val_distribution_lambda_28_loss: 0.4511\n",
+ "Epoch 984/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2604 - distribution_lambda_26_loss: 0.4765 - distribution_lambda_27_loss: 1.3889 - distribution_lambda_28_loss: 0.3950 - val_loss: 2.4679 - val_distribution_lambda_26_loss: 0.5446 - val_distribution_lambda_27_loss: 1.4721 - val_distribution_lambda_28_loss: 0.4512\n",
+ "Epoch 985/2500\n"
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+ "Epoch 986/2500\n",
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+ "Epoch 987/2500\n",
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+ "Epoch 988/2500\n",
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+ "Epoch 989/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2386 - distribution_lambda_26_loss: 0.4657 - distribution_lambda_27_loss: 1.3826 - distribution_lambda_28_loss: 0.3903 - val_loss: 2.4552 - val_distribution_lambda_26_loss: 0.5421 - val_distribution_lambda_27_loss: 1.4641 - val_distribution_lambda_28_loss: 0.4490\n",
+ "Epoch 990/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2531 - distribution_lambda_26_loss: 0.4808 - distribution_lambda_27_loss: 1.3834 - distribution_lambda_28_loss: 0.3889 - val_loss: 2.4585 - val_distribution_lambda_26_loss: 0.5453 - val_distribution_lambda_27_loss: 1.4641 - val_distribution_lambda_28_loss: 0.4491\n",
+ "Epoch 991/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2643 - distribution_lambda_26_loss: 0.4650 - distribution_lambda_27_loss: 1.3939 - distribution_lambda_28_loss: 0.4054 - val_loss: 2.4703 - val_distribution_lambda_26_loss: 0.5522 - val_distribution_lambda_27_loss: 1.4687 - val_distribution_lambda_28_loss: 0.4494\n",
+ "Epoch 992/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2329 - distribution_lambda_26_loss: 0.4723 - distribution_lambda_27_loss: 1.3776 - distribution_lambda_28_loss: 0.3831 - val_loss: 2.4690 - val_distribution_lambda_26_loss: 0.5492 - val_distribution_lambda_27_loss: 1.4701 - val_distribution_lambda_28_loss: 0.4496\n",
+ "Epoch 993/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2718 - distribution_lambda_26_loss: 0.4894 - distribution_lambda_27_loss: 1.3856 - distribution_lambda_28_loss: 0.3968 - val_loss: 2.4564 - val_distribution_lambda_26_loss: 0.5388 - val_distribution_lambda_27_loss: 1.4684 - val_distribution_lambda_28_loss: 0.4493\n",
+ "Epoch 994/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2524 - distribution_lambda_26_loss: 0.4711 - distribution_lambda_27_loss: 1.3905 - distribution_lambda_28_loss: 0.3909 - val_loss: 2.4492 - val_distribution_lambda_26_loss: 0.5341 - val_distribution_lambda_27_loss: 1.4661 - val_distribution_lambda_28_loss: 0.4490\n",
+ "Epoch 995/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2633 - distribution_lambda_26_loss: 0.4755 - distribution_lambda_27_loss: 1.3918 - distribution_lambda_28_loss: 0.3961 - val_loss: 2.4503 - val_distribution_lambda_26_loss: 0.5353 - val_distribution_lambda_27_loss: 1.4666 - val_distribution_lambda_28_loss: 0.4484\n",
+ "Epoch 996/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2323 - distribution_lambda_26_loss: 0.4680 - distribution_lambda_27_loss: 1.3798 - distribution_lambda_28_loss: 0.3845 - val_loss: 2.4534 - val_distribution_lambda_26_loss: 0.5399 - val_distribution_lambda_27_loss: 1.4656 - val_distribution_lambda_28_loss: 0.4480\n",
+ "Epoch 997/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2250 - distribution_lambda_26_loss: 0.4662 - distribution_lambda_27_loss: 1.3673 - distribution_lambda_28_loss: 0.3915 - val_loss: 2.4501 - val_distribution_lambda_26_loss: 0.5390 - val_distribution_lambda_27_loss: 1.4643 - val_distribution_lambda_28_loss: 0.4468\n",
+ "Epoch 998/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2369 - distribution_lambda_26_loss: 0.4653 - distribution_lambda_27_loss: 1.3895 - distribution_lambda_28_loss: 0.3821 - val_loss: 2.4467 - val_distribution_lambda_26_loss: 0.5364 - val_distribution_lambda_27_loss: 1.4639 - val_distribution_lambda_28_loss: 0.4464\n",
+ "Epoch 999/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2530 - distribution_lambda_26_loss: 0.4741 - distribution_lambda_27_loss: 1.3792 - distribution_lambda_28_loss: 0.3997 - val_loss: 2.4496 - val_distribution_lambda_26_loss: 0.5402 - val_distribution_lambda_27_loss: 1.4630 - val_distribution_lambda_28_loss: 0.4464\n",
+ "Epoch 1000/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2453 - distribution_lambda_26_loss: 0.4689 - distribution_lambda_27_loss: 1.3805 - distribution_lambda_28_loss: 0.3959 - val_loss: 2.4494 - val_distribution_lambda_26_loss: 0.5397 - val_distribution_lambda_27_loss: 1.4629 - val_distribution_lambda_28_loss: 0.4468\n",
+ "Epoch 1001/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2115 - distribution_lambda_26_loss: 0.4511 - distribution_lambda_27_loss: 1.3802 - distribution_lambda_28_loss: 0.3802 - val_loss: 2.4482 - val_distribution_lambda_26_loss: 0.5365 - val_distribution_lambda_27_loss: 1.4644 - val_distribution_lambda_28_loss: 0.4472\n",
+ "Epoch 1002/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2280 - distribution_lambda_26_loss: 0.4570 - distribution_lambda_27_loss: 1.3787 - distribution_lambda_28_loss: 0.3924 - val_loss: 2.4443 - val_distribution_lambda_26_loss: 0.5325 - val_distribution_lambda_27_loss: 1.4642 - val_distribution_lambda_28_loss: 0.4476\n",
+ "Epoch 1003/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2234 - distribution_lambda_26_loss: 0.4747 - distribution_lambda_27_loss: 1.3706 - distribution_lambda_28_loss: 0.3781 - val_loss: 2.4414 - val_distribution_lambda_26_loss: 0.5293 - val_distribution_lambda_27_loss: 1.4649 - val_distribution_lambda_28_loss: 0.4472\n",
+ "Epoch 1004/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2259 - distribution_lambda_26_loss: 0.4693 - distribution_lambda_27_loss: 1.3777 - distribution_lambda_28_loss: 0.3788 - val_loss: 2.4449 - val_distribution_lambda_26_loss: 0.5287 - val_distribution_lambda_27_loss: 1.4681 - val_distribution_lambda_28_loss: 0.4481\n",
+ "Epoch 1005/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2257 - distribution_lambda_26_loss: 0.4645 - distribution_lambda_27_loss: 1.3827 - distribution_lambda_28_loss: 0.3786 - val_loss: 2.4491 - val_distribution_lambda_26_loss: 0.5305 - val_distribution_lambda_27_loss: 1.4700 - val_distribution_lambda_28_loss: 0.4486\n",
+ "Epoch 1006/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2522 - distribution_lambda_26_loss: 0.4683 - distribution_lambda_27_loss: 1.3906 - distribution_lambda_28_loss: 0.3933 - val_loss: 2.4435 - val_distribution_lambda_26_loss: 0.5269 - val_distribution_lambda_27_loss: 1.4690 - val_distribution_lambda_28_loss: 0.4477\n",
+ "Epoch 1007/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2219 - distribution_lambda_26_loss: 0.4639 - distribution_lambda_27_loss: 1.3684 - distribution_lambda_28_loss: 0.3897 - val_loss: 2.4410 - val_distribution_lambda_26_loss: 0.5278 - val_distribution_lambda_27_loss: 1.4668 - val_distribution_lambda_28_loss: 0.4464\n",
+ "Epoch 1008/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.1910 - distribution_lambda_26_loss: 0.4636 - distribution_lambda_27_loss: 1.3599 - distribution_lambda_28_loss: 0.3674 - val_loss: 2.4410 - val_distribution_lambda_26_loss: 0.5271 - val_distribution_lambda_27_loss: 1.4685 - val_distribution_lambda_28_loss: 0.4454\n",
+ "Epoch 1009/2500\n"
+ ]
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+ "text": [
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+ "Epoch 1010/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2228 - distribution_lambda_26_loss: 0.4704 - distribution_lambda_27_loss: 1.3720 - distribution_lambda_28_loss: 0.3804 - val_loss: 2.4355 - val_distribution_lambda_26_loss: 0.5250 - val_distribution_lambda_27_loss: 1.4662 - val_distribution_lambda_28_loss: 0.4444\n",
+ "Epoch 1011/2500\n",
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+ "Epoch 1012/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2154 - distribution_lambda_26_loss: 0.4571 - distribution_lambda_27_loss: 1.3721 - distribution_lambda_28_loss: 0.3863 - val_loss: 2.4367 - val_distribution_lambda_26_loss: 0.5278 - val_distribution_lambda_27_loss: 1.4671 - val_distribution_lambda_28_loss: 0.4417\n",
+ "Epoch 1013/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2141 - distribution_lambda_26_loss: 0.4547 - distribution_lambda_27_loss: 1.3726 - distribution_lambda_28_loss: 0.3867 - val_loss: 2.4294 - val_distribution_lambda_26_loss: 0.5219 - val_distribution_lambda_27_loss: 1.4664 - val_distribution_lambda_28_loss: 0.4411\n",
+ "Epoch 1014/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2185 - distribution_lambda_26_loss: 0.4500 - distribution_lambda_27_loss: 1.3776 - distribution_lambda_28_loss: 0.3909 - val_loss: 2.4305 - val_distribution_lambda_26_loss: 0.5245 - val_distribution_lambda_27_loss: 1.4658 - val_distribution_lambda_28_loss: 0.4402\n",
+ "Epoch 1015/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2447 - distribution_lambda_26_loss: 0.4570 - distribution_lambda_27_loss: 1.3960 - distribution_lambda_28_loss: 0.3917 - val_loss: 2.4310 - val_distribution_lambda_26_loss: 0.5265 - val_distribution_lambda_27_loss: 1.4654 - val_distribution_lambda_28_loss: 0.4392\n",
+ "Epoch 1016/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2074 - distribution_lambda_26_loss: 0.4519 - distribution_lambda_27_loss: 1.3767 - distribution_lambda_28_loss: 0.3788 - val_loss: 2.4281 - val_distribution_lambda_26_loss: 0.5266 - val_distribution_lambda_27_loss: 1.4622 - val_distribution_lambda_28_loss: 0.4393\n",
+ "Epoch 1017/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1969 - distribution_lambda_26_loss: 0.4606 - distribution_lambda_27_loss: 1.3609 - distribution_lambda_28_loss: 0.3754 - val_loss: 2.4238 - val_distribution_lambda_26_loss: 0.5248 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4400\n",
+ "Epoch 1018/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1825 - distribution_lambda_26_loss: 0.4507 - distribution_lambda_27_loss: 1.3588 - distribution_lambda_28_loss: 0.3731 - val_loss: 2.4186 - val_distribution_lambda_26_loss: 0.5200 - val_distribution_lambda_27_loss: 1.4591 - val_distribution_lambda_28_loss: 0.4396\n",
+ "Epoch 1019/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2089 - distribution_lambda_26_loss: 0.4512 - distribution_lambda_27_loss: 1.3721 - distribution_lambda_28_loss: 0.3856 - val_loss: 2.4200 - val_distribution_lambda_26_loss: 0.5200 - val_distribution_lambda_27_loss: 1.4614 - val_distribution_lambda_28_loss: 0.4387\n",
+ "Epoch 1020/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2085 - distribution_lambda_26_loss: 0.4531 - distribution_lambda_27_loss: 1.3722 - distribution_lambda_28_loss: 0.3832 - val_loss: 2.4214 - val_distribution_lambda_26_loss: 0.5188 - val_distribution_lambda_27_loss: 1.4637 - val_distribution_lambda_28_loss: 0.4390\n",
+ "Epoch 1021/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1860 - distribution_lambda_26_loss: 0.4363 - distribution_lambda_27_loss: 1.3719 - distribution_lambda_28_loss: 0.3778 - val_loss: 2.4259 - val_distribution_lambda_26_loss: 0.5224 - val_distribution_lambda_27_loss: 1.4646 - val_distribution_lambda_28_loss: 0.4389\n",
+ "Epoch 1022/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1737 - distribution_lambda_26_loss: 0.4524 - distribution_lambda_27_loss: 1.3516 - distribution_lambda_28_loss: 0.3696 - val_loss: 2.4269 - val_distribution_lambda_26_loss: 0.5208 - val_distribution_lambda_27_loss: 1.4670 - val_distribution_lambda_28_loss: 0.4391\n",
+ "Epoch 1023/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1598 - distribution_lambda_26_loss: 0.4318 - distribution_lambda_27_loss: 1.3558 - distribution_lambda_28_loss: 0.3723 - val_loss: 2.4189 - val_distribution_lambda_26_loss: 0.5162 - val_distribution_lambda_27_loss: 1.4638 - val_distribution_lambda_28_loss: 0.4389\n",
+ "Epoch 1024/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.1848 - distribution_lambda_26_loss: 0.4468 - distribution_lambda_27_loss: 1.3682 - distribution_lambda_28_loss: 0.3697 - val_loss: 2.4132 - val_distribution_lambda_26_loss: 0.5126 - val_distribution_lambda_27_loss: 1.4630 - val_distribution_lambda_28_loss: 0.4376\n",
+ "Epoch 1025/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1620 - distribution_lambda_26_loss: 0.4393 - distribution_lambda_27_loss: 1.3541 - distribution_lambda_28_loss: 0.3686 - val_loss: 2.4152 - val_distribution_lambda_26_loss: 0.5168 - val_distribution_lambda_27_loss: 1.4615 - val_distribution_lambda_28_loss: 0.4369\n",
+ "Epoch 1026/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1964 - distribution_lambda_26_loss: 0.4474 - distribution_lambda_27_loss: 1.3626 - distribution_lambda_28_loss: 0.3864 - val_loss: 2.4223 - val_distribution_lambda_26_loss: 0.5232 - val_distribution_lambda_27_loss: 1.4612 - val_distribution_lambda_28_loss: 0.4379\n",
+ "Epoch 1027/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2291 - distribution_lambda_26_loss: 0.4550 - distribution_lambda_27_loss: 1.3881 - distribution_lambda_28_loss: 0.3859 - val_loss: 2.4144 - val_distribution_lambda_26_loss: 0.5159 - val_distribution_lambda_27_loss: 1.4605 - val_distribution_lambda_28_loss: 0.4381\n",
+ "Epoch 1028/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1639 - distribution_lambda_26_loss: 0.4285 - distribution_lambda_27_loss: 1.3621 - distribution_lambda_28_loss: 0.3734 - val_loss: 2.4086 - val_distribution_lambda_26_loss: 0.5085 - val_distribution_lambda_27_loss: 1.4618 - val_distribution_lambda_28_loss: 0.4382\n",
+ "Epoch 1029/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1901 - distribution_lambda_26_loss: 0.4355 - distribution_lambda_27_loss: 1.3805 - distribution_lambda_28_loss: 0.3741 - val_loss: 2.4069 - val_distribution_lambda_26_loss: 0.5075 - val_distribution_lambda_27_loss: 1.4618 - val_distribution_lambda_28_loss: 0.4375\n",
+ "Epoch 1030/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1547 - distribution_lambda_26_loss: 0.4399 - distribution_lambda_27_loss: 1.3515 - distribution_lambda_28_loss: 0.3634 - val_loss: 2.4064 - val_distribution_lambda_26_loss: 0.5073 - val_distribution_lambda_27_loss: 1.4620 - val_distribution_lambda_28_loss: 0.4371\n",
+ "Epoch 1031/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1956 - distribution_lambda_26_loss: 0.4369 - distribution_lambda_27_loss: 1.3772 - distribution_lambda_28_loss: 0.3815 - val_loss: 2.4134 - val_distribution_lambda_26_loss: 0.5118 - val_distribution_lambda_27_loss: 1.4644 - val_distribution_lambda_28_loss: 0.4372\n",
+ "Epoch 1032/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1557 - distribution_lambda_26_loss: 0.4254 - distribution_lambda_27_loss: 1.3614 - distribution_lambda_28_loss: 0.3690 - val_loss: 2.4064 - val_distribution_lambda_26_loss: 0.5085 - val_distribution_lambda_27_loss: 1.4620 - val_distribution_lambda_28_loss: 0.4358\n",
+ "Epoch 1033/2500\n"
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+ "Epoch 1034/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1783 - distribution_lambda_26_loss: 0.4344 - distribution_lambda_27_loss: 1.3619 - distribution_lambda_28_loss: 0.3820 - val_loss: 2.3957 - val_distribution_lambda_26_loss: 0.5030 - val_distribution_lambda_27_loss: 1.4592 - val_distribution_lambda_28_loss: 0.4334\n",
+ "Epoch 1035/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1788 - distribution_lambda_26_loss: 0.4383 - distribution_lambda_27_loss: 1.3693 - distribution_lambda_28_loss: 0.3712 - val_loss: 2.3995 - val_distribution_lambda_26_loss: 0.5051 - val_distribution_lambda_27_loss: 1.4608 - val_distribution_lambda_28_loss: 0.4337\n",
+ "Epoch 1036/2500\n",
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+ "Epoch 1037/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1352 - distribution_lambda_26_loss: 0.4192 - distribution_lambda_27_loss: 1.3527 - distribution_lambda_28_loss: 0.3634 - val_loss: 2.4051 - val_distribution_lambda_26_loss: 0.5103 - val_distribution_lambda_27_loss: 1.4613 - val_distribution_lambda_28_loss: 0.4335\n",
+ "Epoch 1038/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1827 - distribution_lambda_26_loss: 0.4345 - distribution_lambda_27_loss: 1.3660 - distribution_lambda_28_loss: 0.3822 - val_loss: 2.3966 - val_distribution_lambda_26_loss: 0.5063 - val_distribution_lambda_27_loss: 1.4596 - val_distribution_lambda_28_loss: 0.4308\n",
+ "Epoch 1039/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1700 - distribution_lambda_26_loss: 0.4281 - distribution_lambda_27_loss: 1.3600 - distribution_lambda_28_loss: 0.3818 - val_loss: 2.3949 - val_distribution_lambda_26_loss: 0.5051 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4308\n",
+ "Epoch 1040/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1415 - distribution_lambda_26_loss: 0.4357 - distribution_lambda_27_loss: 1.3405 - distribution_lambda_28_loss: 0.3653 - val_loss: 2.3999 - val_distribution_lambda_26_loss: 0.5098 - val_distribution_lambda_27_loss: 1.4588 - val_distribution_lambda_28_loss: 0.4313\n",
+ "Epoch 1041/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1511 - distribution_lambda_26_loss: 0.4201 - distribution_lambda_27_loss: 1.3576 - distribution_lambda_28_loss: 0.3734 - val_loss: 2.3899 - val_distribution_lambda_26_loss: 0.5026 - val_distribution_lambda_27_loss: 1.4582 - val_distribution_lambda_28_loss: 0.4291\n",
+ "Epoch 1042/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1913 - distribution_lambda_26_loss: 0.4503 - distribution_lambda_27_loss: 1.3654 - distribution_lambda_28_loss: 0.3755 - val_loss: 2.3850 - val_distribution_lambda_26_loss: 0.4979 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4281\n",
+ "Epoch 1043/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1825 - distribution_lambda_26_loss: 0.4532 - distribution_lambda_27_loss: 1.3554 - distribution_lambda_28_loss: 0.3740 - val_loss: 2.3927 - val_distribution_lambda_26_loss: 0.5037 - val_distribution_lambda_27_loss: 1.4604 - val_distribution_lambda_28_loss: 0.4285\n",
+ "Epoch 1044/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1976 - distribution_lambda_26_loss: 0.4401 - distribution_lambda_27_loss: 1.3744 - distribution_lambda_28_loss: 0.3831 - val_loss: 2.3944 - val_distribution_lambda_26_loss: 0.5050 - val_distribution_lambda_27_loss: 1.4599 - val_distribution_lambda_28_loss: 0.4294\n",
+ "Epoch 1045/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1431 - distribution_lambda_26_loss: 0.4293 - distribution_lambda_27_loss: 1.3414 - distribution_lambda_28_loss: 0.3724 - val_loss: 2.3926 - val_distribution_lambda_26_loss: 0.5039 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4297\n",
+ "Epoch 1046/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1763 - distribution_lambda_26_loss: 0.4401 - distribution_lambda_27_loss: 1.3606 - distribution_lambda_28_loss: 0.3757 - val_loss: 2.3993 - val_distribution_lambda_26_loss: 0.5096 - val_distribution_lambda_27_loss: 1.4600 - val_distribution_lambda_28_loss: 0.4297\n",
+ "Epoch 1047/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1388 - distribution_lambda_26_loss: 0.4304 - distribution_lambda_27_loss: 1.3428 - distribution_lambda_28_loss: 0.3656 - val_loss: 2.3863 - val_distribution_lambda_26_loss: 0.4992 - val_distribution_lambda_27_loss: 1.4577 - val_distribution_lambda_28_loss: 0.4294\n",
+ "Epoch 1048/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1666 - distribution_lambda_26_loss: 0.4184 - distribution_lambda_27_loss: 1.3664 - distribution_lambda_28_loss: 0.3818 - val_loss: 2.3807 - val_distribution_lambda_26_loss: 0.4941 - val_distribution_lambda_27_loss: 1.4570 - val_distribution_lambda_28_loss: 0.4296\n",
+ "Epoch 1049/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1856 - distribution_lambda_26_loss: 0.4416 - distribution_lambda_27_loss: 1.3668 - distribution_lambda_28_loss: 0.3773 - val_loss: 2.3798 - val_distribution_lambda_26_loss: 0.4928 - val_distribution_lambda_27_loss: 1.4573 - val_distribution_lambda_28_loss: 0.4298\n",
+ "Epoch 1050/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1498 - distribution_lambda_26_loss: 0.4322 - distribution_lambda_27_loss: 1.3486 - distribution_lambda_28_loss: 0.3690 - val_loss: 2.3781 - val_distribution_lambda_26_loss: 0.4936 - val_distribution_lambda_27_loss: 1.4547 - val_distribution_lambda_28_loss: 0.4299\n",
+ "Epoch 1051/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1494 - distribution_lambda_26_loss: 0.4397 - distribution_lambda_27_loss: 1.3477 - distribution_lambda_28_loss: 0.3619 - val_loss: 2.3673 - val_distribution_lambda_26_loss: 0.4872 - val_distribution_lambda_27_loss: 1.4514 - val_distribution_lambda_28_loss: 0.4287\n",
+ "Epoch 1052/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1659 - distribution_lambda_26_loss: 0.4328 - distribution_lambda_27_loss: 1.3660 - distribution_lambda_28_loss: 0.3671 - val_loss: 2.3723 - val_distribution_lambda_26_loss: 0.4937 - val_distribution_lambda_27_loss: 1.4499 - val_distribution_lambda_28_loss: 0.4287\n",
+ "Epoch 1053/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1446 - distribution_lambda_26_loss: 0.4298 - distribution_lambda_27_loss: 1.3446 - distribution_lambda_28_loss: 0.3703 - val_loss: 2.3733 - val_distribution_lambda_26_loss: 0.4896 - val_distribution_lambda_27_loss: 1.4544 - val_distribution_lambda_28_loss: 0.4293\n",
+ "Epoch 1054/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1466 - distribution_lambda_26_loss: 0.4278 - distribution_lambda_27_loss: 1.3602 - distribution_lambda_28_loss: 0.3587 - val_loss: 2.3720 - val_distribution_lambda_26_loss: 0.4860 - val_distribution_lambda_27_loss: 1.4554 - val_distribution_lambda_28_loss: 0.4306\n",
+ "Epoch 1055/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1386 - distribution_lambda_26_loss: 0.4246 - distribution_lambda_27_loss: 1.3487 - distribution_lambda_28_loss: 0.3653 - val_loss: 2.3679 - val_distribution_lambda_26_loss: 0.4842 - val_distribution_lambda_27_loss: 1.4543 - val_distribution_lambda_28_loss: 0.4294\n",
+ "Epoch 1056/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1191 - distribution_lambda_26_loss: 0.4192 - distribution_lambda_27_loss: 1.3412 - distribution_lambda_28_loss: 0.3586 - val_loss: 2.3680 - val_distribution_lambda_26_loss: 0.4874 - val_distribution_lambda_27_loss: 1.4523 - val_distribution_lambda_28_loss: 0.4283\n",
+ "Epoch 1057/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
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+ "Epoch 1058/2500\n",
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+ "Epoch 1059/2500\n",
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+ "Epoch 1062/2500\n",
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+ "Epoch 1063/2500\n",
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+ "Epoch 1064/2500\n",
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+ "Epoch 1065/2500\n",
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+ "Epoch 1066/2500\n",
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+ "Epoch 1067/2500\n",
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+ "Epoch 1068/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1131 - distribution_lambda_26_loss: 0.4135 - distribution_lambda_27_loss: 1.3361 - distribution_lambda_28_loss: 0.3635 - val_loss: 2.3472 - val_distribution_lambda_26_loss: 0.4717 - val_distribution_lambda_27_loss: 1.4499 - val_distribution_lambda_28_loss: 0.4256\n",
+ "Epoch 1069/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0879 - distribution_lambda_26_loss: 0.3832 - distribution_lambda_27_loss: 1.3521 - distribution_lambda_28_loss: 0.3527 - val_loss: 2.3570 - val_distribution_lambda_26_loss: 0.4783 - val_distribution_lambda_27_loss: 1.4509 - val_distribution_lambda_28_loss: 0.4278\n",
+ "Epoch 1070/2500\n",
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+ "Epoch 1071/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1025 - distribution_lambda_26_loss: 0.3953 - distribution_lambda_27_loss: 1.3459 - distribution_lambda_28_loss: 0.3613 - val_loss: 2.3422 - val_distribution_lambda_26_loss: 0.4728 - val_distribution_lambda_27_loss: 1.4450 - val_distribution_lambda_28_loss: 0.4244\n",
+ "Epoch 1072/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0690 - distribution_lambda_26_loss: 0.3855 - distribution_lambda_27_loss: 1.3310 - distribution_lambda_28_loss: 0.3525 - val_loss: 2.3373 - val_distribution_lambda_26_loss: 0.4706 - val_distribution_lambda_27_loss: 1.4429 - val_distribution_lambda_28_loss: 0.4237\n",
+ "Epoch 1073/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1374 - distribution_lambda_26_loss: 0.4181 - distribution_lambda_27_loss: 1.3492 - distribution_lambda_28_loss: 0.3701 - val_loss: 2.3452 - val_distribution_lambda_26_loss: 0.4777 - val_distribution_lambda_27_loss: 1.4438 - val_distribution_lambda_28_loss: 0.4237\n",
+ "Epoch 1074/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 2.1299 - distribution_lambda_26_loss: 0.4148 - distribution_lambda_27_loss: 1.3530 - distribution_lambda_28_loss: 0.3620 - val_loss: 2.3473 - val_distribution_lambda_26_loss: 0.4793 - val_distribution_lambda_27_loss: 1.4441 - val_distribution_lambda_28_loss: 0.4239\n",
+ "Epoch 1075/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0949 - distribution_lambda_26_loss: 0.4173 - distribution_lambda_27_loss: 1.3316 - distribution_lambda_28_loss: 0.3460 - val_loss: 2.3366 - val_distribution_lambda_26_loss: 0.4716 - val_distribution_lambda_27_loss: 1.4423 - val_distribution_lambda_28_loss: 0.4227\n",
+ "Epoch 1076/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1140 - distribution_lambda_26_loss: 0.4122 - distribution_lambda_27_loss: 1.3391 - distribution_lambda_28_loss: 0.3626 - val_loss: 2.3408 - val_distribution_lambda_26_loss: 0.4757 - val_distribution_lambda_27_loss: 1.4435 - val_distribution_lambda_28_loss: 0.4216\n",
+ "Epoch 1077/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0899 - distribution_lambda_26_loss: 0.3907 - distribution_lambda_27_loss: 1.3376 - distribution_lambda_28_loss: 0.3616 - val_loss: 2.3347 - val_distribution_lambda_26_loss: 0.4719 - val_distribution_lambda_27_loss: 1.4416 - val_distribution_lambda_28_loss: 0.4212\n",
+ "Epoch 1078/2500\n",
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+ "Epoch 1079/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0757 - distribution_lambda_26_loss: 0.3905 - distribution_lambda_27_loss: 1.3336 - distribution_lambda_28_loss: 0.3516 - val_loss: 2.3289 - val_distribution_lambda_26_loss: 0.4670 - val_distribution_lambda_27_loss: 1.4428 - val_distribution_lambda_28_loss: 0.4191\n",
+ "Epoch 1080/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0914 - distribution_lambda_26_loss: 0.4103 - distribution_lambda_27_loss: 1.3280 - distribution_lambda_28_loss: 0.3530 - val_loss: 2.3274 - val_distribution_lambda_26_loss: 0.4667 - val_distribution_lambda_27_loss: 1.4420 - val_distribution_lambda_28_loss: 0.4187\n",
+ "Epoch 1081/2500\n"
+ ]
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+ "text": [
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+ "Epoch 1082/2500\n",
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+ "Epoch 1085/2500\n",
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+ "Epoch 1086/2500\n",
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+ "Epoch 1087/2500\n",
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+ "Epoch 1088/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0878 - distribution_lambda_26_loss: 0.3973 - distribution_lambda_27_loss: 1.3289 - distribution_lambda_28_loss: 0.3617 - val_loss: 2.3172 - val_distribution_lambda_26_loss: 0.4594 - val_distribution_lambda_27_loss: 1.4385 - val_distribution_lambda_28_loss: 0.4193\n",
+ "Epoch 1089/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0503 - distribution_lambda_26_loss: 0.3972 - distribution_lambda_27_loss: 1.3093 - distribution_lambda_28_loss: 0.3438 - val_loss: 2.3237 - val_distribution_lambda_26_loss: 0.4651 - val_distribution_lambda_27_loss: 1.4391 - val_distribution_lambda_28_loss: 0.4195\n",
+ "Epoch 1090/2500\n",
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+ "Epoch 1091/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0738 - distribution_lambda_26_loss: 0.3881 - distribution_lambda_27_loss: 1.3259 - distribution_lambda_28_loss: 0.3598 - val_loss: 2.3139 - val_distribution_lambda_26_loss: 0.4593 - val_distribution_lambda_27_loss: 1.4387 - val_distribution_lambda_28_loss: 0.4159\n",
+ "Epoch 1092/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0452 - distribution_lambda_26_loss: 0.3765 - distribution_lambda_27_loss: 1.3305 - distribution_lambda_28_loss: 0.3382 - val_loss: 2.3158 - val_distribution_lambda_26_loss: 0.4622 - val_distribution_lambda_27_loss: 1.4381 - val_distribution_lambda_28_loss: 0.4155\n",
+ "Epoch 1093/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0547 - distribution_lambda_26_loss: 0.3721 - distribution_lambda_27_loss: 1.3272 - distribution_lambda_28_loss: 0.3554 - val_loss: 2.3135 - val_distribution_lambda_26_loss: 0.4599 - val_distribution_lambda_27_loss: 1.4385 - val_distribution_lambda_28_loss: 0.4151\n",
+ "Epoch 1094/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0721 - distribution_lambda_26_loss: 0.3936 - distribution_lambda_27_loss: 1.3262 - distribution_lambda_28_loss: 0.3523 - val_loss: 2.3120 - val_distribution_lambda_26_loss: 0.4612 - val_distribution_lambda_27_loss: 1.4358 - val_distribution_lambda_28_loss: 0.4151\n",
+ "Epoch 1095/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0661 - distribution_lambda_26_loss: 0.3870 - distribution_lambda_27_loss: 1.3211 - distribution_lambda_28_loss: 0.3581 - val_loss: 2.2983 - val_distribution_lambda_26_loss: 0.4513 - val_distribution_lambda_27_loss: 1.4335 - val_distribution_lambda_28_loss: 0.4135\n",
+ "Epoch 1096/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0698 - distribution_lambda_26_loss: 0.4038 - distribution_lambda_27_loss: 1.3188 - distribution_lambda_28_loss: 0.3472 - val_loss: 2.2991 - val_distribution_lambda_26_loss: 0.4517 - val_distribution_lambda_27_loss: 1.4348 - val_distribution_lambda_28_loss: 0.4127\n",
+ "Epoch 1097/2500\n",
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+ "Epoch 1098/2500\n",
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+ "Epoch 1099/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0206 - distribution_lambda_26_loss: 0.3824 - distribution_lambda_27_loss: 1.3024 - distribution_lambda_28_loss: 0.3358 - val_loss: 2.2909 - val_distribution_lambda_26_loss: 0.4498 - val_distribution_lambda_27_loss: 1.4320 - val_distribution_lambda_28_loss: 0.4091\n",
+ "Epoch 1100/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0373 - distribution_lambda_26_loss: 0.3804 - distribution_lambda_27_loss: 1.3197 - distribution_lambda_28_loss: 0.3372 - val_loss: 2.2958 - val_distribution_lambda_26_loss: 0.4530 - val_distribution_lambda_27_loss: 1.4329 - val_distribution_lambda_28_loss: 0.4099\n",
+ "Epoch 1101/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0206 - distribution_lambda_26_loss: 0.3689 - distribution_lambda_27_loss: 1.3092 - distribution_lambda_28_loss: 0.3425 - val_loss: 2.2935 - val_distribution_lambda_26_loss: 0.4550 - val_distribution_lambda_27_loss: 1.4299 - val_distribution_lambda_28_loss: 0.4086\n",
+ "Epoch 1102/2500\n",
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+ "Epoch 1103/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0420 - distribution_lambda_26_loss: 0.3818 - distribution_lambda_27_loss: 1.3208 - distribution_lambda_28_loss: 0.3393 - val_loss: 2.2908 - val_distribution_lambda_26_loss: 0.4497 - val_distribution_lambda_27_loss: 1.4347 - val_distribution_lambda_28_loss: 0.4064\n",
+ "Epoch 1104/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0389 - distribution_lambda_26_loss: 0.3744 - distribution_lambda_27_loss: 1.3220 - distribution_lambda_28_loss: 0.3426 - val_loss: 2.2825 - val_distribution_lambda_26_loss: 0.4456 - val_distribution_lambda_27_loss: 1.4313 - val_distribution_lambda_28_loss: 0.4056\n",
+ "Epoch 1105/2500\n"
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+ "Epoch 1111/2500\n",
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+ "Epoch 1112/2500\n",
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+ "Epoch 1113/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0289 - distribution_lambda_26_loss: 0.3608 - distribution_lambda_27_loss: 1.3138 - distribution_lambda_28_loss: 0.3543 - val_loss: 2.2535 - val_distribution_lambda_26_loss: 0.4366 - val_distribution_lambda_27_loss: 1.4150 - val_distribution_lambda_28_loss: 0.4019\n",
+ "Epoch 1114/2500\n",
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+ "Epoch 1115/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0182 - distribution_lambda_26_loss: 0.3669 - distribution_lambda_27_loss: 1.3052 - distribution_lambda_28_loss: 0.3461 - val_loss: 2.2592 - val_distribution_lambda_26_loss: 0.4422 - val_distribution_lambda_27_loss: 1.4161 - val_distribution_lambda_28_loss: 0.4009\n",
+ "Epoch 1116/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0634 - distribution_lambda_26_loss: 0.3818 - distribution_lambda_27_loss: 1.3314 - distribution_lambda_28_loss: 0.3502 - val_loss: 2.2650 - val_distribution_lambda_26_loss: 0.4450 - val_distribution_lambda_27_loss: 1.4184 - val_distribution_lambda_28_loss: 0.4016\n",
+ "Epoch 1117/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 2.0373 - distribution_lambda_26_loss: 0.3607 - distribution_lambda_27_loss: 1.3185 - distribution_lambda_28_loss: 0.3581 - val_loss: 2.2542 - val_distribution_lambda_26_loss: 0.4411 - val_distribution_lambda_27_loss: 1.4154 - val_distribution_lambda_28_loss: 0.3977\n",
+ "Epoch 1118/2500\n",
+ "8/8 [==============================] - 0s 9ms/step - loss: 2.0434 - distribution_lambda_26_loss: 0.3773 - distribution_lambda_27_loss: 1.3149 - distribution_lambda_28_loss: 0.3513 - val_loss: 2.2467 - val_distribution_lambda_26_loss: 0.4369 - val_distribution_lambda_27_loss: 1.4121 - val_distribution_lambda_28_loss: 0.3978\n",
+ "Epoch 1119/2500\n",
+ "8/8 [==============================] - 0s 11ms/step - loss: 2.0718 - distribution_lambda_26_loss: 0.3833 - distribution_lambda_27_loss: 1.3267 - distribution_lambda_28_loss: 0.3618 - val_loss: 2.2441 - val_distribution_lambda_26_loss: 0.4349 - val_distribution_lambda_27_loss: 1.4120 - val_distribution_lambda_28_loss: 0.3971\n",
+ "Epoch 1120/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 2.0550 - distribution_lambda_26_loss: 0.3675 - distribution_lambda_27_loss: 1.3276 - distribution_lambda_28_loss: 0.3600 - val_loss: 2.2535 - val_distribution_lambda_26_loss: 0.4424 - val_distribution_lambda_27_loss: 1.4138 - val_distribution_lambda_28_loss: 0.3973\n",
+ "Epoch 1121/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 2.0543 - distribution_lambda_26_loss: 0.3869 - distribution_lambda_27_loss: 1.3230 - distribution_lambda_28_loss: 0.3444 - val_loss: 2.2439 - val_distribution_lambda_26_loss: 0.4370 - val_distribution_lambda_27_loss: 1.4106 - val_distribution_lambda_28_loss: 0.3964\n",
+ "Epoch 1122/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0133 - distribution_lambda_26_loss: 0.3621 - distribution_lambda_27_loss: 1.3130 - distribution_lambda_28_loss: 0.3382 - val_loss: 2.2535 - val_distribution_lambda_26_loss: 0.4435 - val_distribution_lambda_27_loss: 1.4137 - val_distribution_lambda_28_loss: 0.3963\n",
+ "Epoch 1123/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0452 - distribution_lambda_26_loss: 0.3666 - distribution_lambda_27_loss: 1.3294 - distribution_lambda_28_loss: 0.3492 - val_loss: 2.2406 - val_distribution_lambda_26_loss: 0.4366 - val_distribution_lambda_27_loss: 1.4071 - val_distribution_lambda_28_loss: 0.3970\n",
+ "Epoch 1124/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0002 - distribution_lambda_26_loss: 0.3748 - distribution_lambda_27_loss: 1.2993 - distribution_lambda_28_loss: 0.3261 - val_loss: 2.2399 - val_distribution_lambda_26_loss: 0.4369 - val_distribution_lambda_27_loss: 1.4063 - val_distribution_lambda_28_loss: 0.3967\n",
+ "Epoch 1125/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0036 - distribution_lambda_26_loss: 0.3642 - distribution_lambda_27_loss: 1.2953 - distribution_lambda_28_loss: 0.3442 - val_loss: 2.2363 - val_distribution_lambda_26_loss: 0.4341 - val_distribution_lambda_27_loss: 1.4063 - val_distribution_lambda_28_loss: 0.3959\n",
+ "Epoch 1126/2500\n",
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+ "Epoch 1127/2500\n",
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+ "Epoch 1128/2500\n",
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+ "Epoch 1129/2500\n"
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+ "Epoch 1130/2500\n",
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+ "Epoch 1131/2500\n",
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+ "Epoch 1133/2500\n",
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+ "Epoch 1134/2500\n",
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+ "Epoch 1135/2500\n",
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+ "Epoch 1136/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9646 - distribution_lambda_26_loss: 0.3468 - distribution_lambda_27_loss: 1.2802 - distribution_lambda_28_loss: 0.3376 - val_loss: 2.2159 - val_distribution_lambda_26_loss: 0.4367 - val_distribution_lambda_27_loss: 1.3962 - val_distribution_lambda_28_loss: 0.3829\n",
+ "Epoch 1137/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9645 - distribution_lambda_26_loss: 0.3369 - distribution_lambda_27_loss: 1.2921 - distribution_lambda_28_loss: 0.3355 - val_loss: 2.2105 - val_distribution_lambda_26_loss: 0.4308 - val_distribution_lambda_27_loss: 1.3978 - val_distribution_lambda_28_loss: 0.3819\n",
+ "Epoch 1138/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9971 - distribution_lambda_26_loss: 0.3676 - distribution_lambda_27_loss: 1.2979 - distribution_lambda_28_loss: 0.3316 - val_loss: 2.2106 - val_distribution_lambda_26_loss: 0.4265 - val_distribution_lambda_27_loss: 1.4009 - val_distribution_lambda_28_loss: 0.3832\n",
+ "Epoch 1139/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0234 - distribution_lambda_26_loss: 0.3694 - distribution_lambda_27_loss: 1.3135 - distribution_lambda_28_loss: 0.3406 - val_loss: 2.1997 - val_distribution_lambda_26_loss: 0.4215 - val_distribution_lambda_27_loss: 1.3959 - val_distribution_lambda_28_loss: 0.3824\n",
+ "Epoch 1140/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0068 - distribution_lambda_26_loss: 0.3553 - distribution_lambda_27_loss: 1.3013 - distribution_lambda_28_loss: 0.3502 - val_loss: 2.2071 - val_distribution_lambda_26_loss: 0.4317 - val_distribution_lambda_27_loss: 1.3933 - val_distribution_lambda_28_loss: 0.3821\n",
+ "Epoch 1141/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0014 - distribution_lambda_26_loss: 0.3677 - distribution_lambda_27_loss: 1.2925 - distribution_lambda_28_loss: 0.3412 - val_loss: 2.2096 - val_distribution_lambda_26_loss: 0.4328 - val_distribution_lambda_27_loss: 1.3944 - val_distribution_lambda_28_loss: 0.3825\n",
+ "Epoch 1142/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9617 - distribution_lambda_26_loss: 0.3498 - distribution_lambda_27_loss: 1.2875 - distribution_lambda_28_loss: 0.3244 - val_loss: 2.1914 - val_distribution_lambda_26_loss: 0.4175 - val_distribution_lambda_27_loss: 1.3918 - val_distribution_lambda_28_loss: 0.3821\n",
+ "Epoch 1143/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9928 - distribution_lambda_26_loss: 0.3690 - distribution_lambda_27_loss: 1.2955 - distribution_lambda_28_loss: 0.3284 - val_loss: 2.1940 - val_distribution_lambda_26_loss: 0.4199 - val_distribution_lambda_27_loss: 1.3926 - val_distribution_lambda_28_loss: 0.3815\n",
+ "Epoch 1144/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9687 - distribution_lambda_26_loss: 0.3443 - distribution_lambda_27_loss: 1.2902 - distribution_lambda_28_loss: 0.3342 - val_loss: 2.1954 - val_distribution_lambda_26_loss: 0.4242 - val_distribution_lambda_27_loss: 1.3914 - val_distribution_lambda_28_loss: 0.3799\n",
+ "Epoch 1145/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0058 - distribution_lambda_26_loss: 0.3700 - distribution_lambda_27_loss: 1.2938 - distribution_lambda_28_loss: 0.3420 - val_loss: 2.2059 - val_distribution_lambda_26_loss: 0.4350 - val_distribution_lambda_27_loss: 1.3901 - val_distribution_lambda_28_loss: 0.3808\n",
+ "Epoch 1146/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9693 - distribution_lambda_26_loss: 0.3514 - distribution_lambda_27_loss: 1.2807 - distribution_lambda_28_loss: 0.3371 - val_loss: 2.1941 - val_distribution_lambda_26_loss: 0.4304 - val_distribution_lambda_27_loss: 1.3840 - val_distribution_lambda_28_loss: 0.3797\n",
+ "Epoch 1147/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9745 - distribution_lambda_26_loss: 0.3547 - distribution_lambda_27_loss: 1.2921 - distribution_lambda_28_loss: 0.3277 - val_loss: 2.1924 - val_distribution_lambda_26_loss: 0.4263 - val_distribution_lambda_27_loss: 1.3859 - val_distribution_lambda_28_loss: 0.3801\n",
+ "Epoch 1148/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9676 - distribution_lambda_26_loss: 0.3622 - distribution_lambda_27_loss: 1.2806 - distribution_lambda_28_loss: 0.3248 - val_loss: 2.1871 - val_distribution_lambda_26_loss: 0.4210 - val_distribution_lambda_27_loss: 1.3871 - val_distribution_lambda_28_loss: 0.3790\n",
+ "Epoch 1149/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9725 - distribution_lambda_26_loss: 0.3579 - distribution_lambda_27_loss: 1.2811 - distribution_lambda_28_loss: 0.3335 - val_loss: 2.1995 - val_distribution_lambda_26_loss: 0.4257 - val_distribution_lambda_27_loss: 1.3926 - val_distribution_lambda_28_loss: 0.3813\n",
+ "Epoch 1150/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9421 - distribution_lambda_26_loss: 0.3297 - distribution_lambda_27_loss: 1.2880 - distribution_lambda_28_loss: 0.3244 - val_loss: 2.2089 - val_distribution_lambda_26_loss: 0.4335 - val_distribution_lambda_27_loss: 1.3920 - val_distribution_lambda_28_loss: 0.3835\n",
+ "Epoch 1151/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9782 - distribution_lambda_26_loss: 0.3447 - distribution_lambda_27_loss: 1.3003 - distribution_lambda_28_loss: 0.3332 - val_loss: 2.1908 - val_distribution_lambda_26_loss: 0.4198 - val_distribution_lambda_27_loss: 1.3890 - val_distribution_lambda_28_loss: 0.3820\n",
+ "Epoch 1152/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9529 - distribution_lambda_26_loss: 0.3411 - distribution_lambda_27_loss: 1.2871 - distribution_lambda_28_loss: 0.3247 - val_loss: 2.1901 - val_distribution_lambda_26_loss: 0.4230 - val_distribution_lambda_27_loss: 1.3876 - val_distribution_lambda_28_loss: 0.3795\n",
+ "Epoch 1153/2500\n"
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+ "Epoch 1154/2500\n",
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+ "Epoch 1155/2500\n",
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+ "Epoch 1156/2500\n",
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+ "Epoch 1157/2500\n",
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+ "Epoch 1158/2500\n",
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+ "Epoch 1159/2500\n",
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+ "Epoch 1160/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9249 - distribution_lambda_26_loss: 0.3475 - distribution_lambda_27_loss: 1.2628 - distribution_lambda_28_loss: 0.3146 - val_loss: 2.1622 - val_distribution_lambda_26_loss: 0.4166 - val_distribution_lambda_27_loss: 1.3764 - val_distribution_lambda_28_loss: 0.3692\n",
+ "Epoch 1161/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9449 - distribution_lambda_26_loss: 0.3432 - distribution_lambda_27_loss: 1.2787 - distribution_lambda_28_loss: 0.3230 - val_loss: 2.1627 - val_distribution_lambda_26_loss: 0.4189 - val_distribution_lambda_27_loss: 1.3749 - val_distribution_lambda_28_loss: 0.3689\n",
+ "Epoch 1162/2500\n",
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+ "Epoch 1163/2500\n",
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+ "Epoch 1164/2500\n",
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+ "Epoch 1165/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9246 - distribution_lambda_26_loss: 0.3259 - distribution_lambda_27_loss: 1.2736 - distribution_lambda_28_loss: 0.3251 - val_loss: 2.1673 - val_distribution_lambda_26_loss: 0.4266 - val_distribution_lambda_27_loss: 1.3749 - val_distribution_lambda_28_loss: 0.3658\n",
+ "Epoch 1166/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9895 - distribution_lambda_26_loss: 0.3571 - distribution_lambda_27_loss: 1.2973 - distribution_lambda_28_loss: 0.3351 - val_loss: 2.1784 - val_distribution_lambda_26_loss: 0.4362 - val_distribution_lambda_27_loss: 1.3758 - val_distribution_lambda_28_loss: 0.3665\n",
+ "Epoch 1167/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9405 - distribution_lambda_26_loss: 0.3450 - distribution_lambda_27_loss: 1.2716 - distribution_lambda_28_loss: 0.3239 - val_loss: 2.1617 - val_distribution_lambda_26_loss: 0.4230 - val_distribution_lambda_27_loss: 1.3713 - val_distribution_lambda_28_loss: 0.3674\n",
+ "Epoch 1168/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9627 - distribution_lambda_26_loss: 0.3666 - distribution_lambda_27_loss: 1.2785 - distribution_lambda_28_loss: 0.3177 - val_loss: 2.1460 - val_distribution_lambda_26_loss: 0.4131 - val_distribution_lambda_27_loss: 1.3684 - val_distribution_lambda_28_loss: 0.3646\n",
+ "Epoch 1169/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9517 - distribution_lambda_26_loss: 0.3501 - distribution_lambda_27_loss: 1.2805 - distribution_lambda_28_loss: 0.3211 - val_loss: 2.1632 - val_distribution_lambda_26_loss: 0.4218 - val_distribution_lambda_27_loss: 1.3746 - val_distribution_lambda_28_loss: 0.3668\n",
+ "Epoch 1170/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9228 - distribution_lambda_26_loss: 0.3272 - distribution_lambda_27_loss: 1.2750 - distribution_lambda_28_loss: 0.3207 - val_loss: 2.1723 - val_distribution_lambda_26_loss: 0.4271 - val_distribution_lambda_27_loss: 1.3757 - val_distribution_lambda_28_loss: 0.3695\n",
+ "Epoch 1171/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9098 - distribution_lambda_26_loss: 0.3295 - distribution_lambda_27_loss: 1.2634 - distribution_lambda_28_loss: 0.3169 - val_loss: 2.1703 - val_distribution_lambda_26_loss: 0.4293 - val_distribution_lambda_27_loss: 1.3740 - val_distribution_lambda_28_loss: 0.3671\n",
+ "Epoch 1172/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9334 - distribution_lambda_26_loss: 0.3394 - distribution_lambda_27_loss: 1.2688 - distribution_lambda_28_loss: 0.3252 - val_loss: 2.1626 - val_distribution_lambda_26_loss: 0.4275 - val_distribution_lambda_27_loss: 1.3705 - val_distribution_lambda_28_loss: 0.3646\n",
+ "Epoch 1173/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9249 - distribution_lambda_26_loss: 0.3307 - distribution_lambda_27_loss: 1.2621 - distribution_lambda_28_loss: 0.3321 - val_loss: 2.1554 - val_distribution_lambda_26_loss: 0.4246 - val_distribution_lambda_27_loss: 1.3681 - val_distribution_lambda_28_loss: 0.3627\n",
+ "Epoch 1174/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9431 - distribution_lambda_26_loss: 0.3240 - distribution_lambda_27_loss: 1.2846 - distribution_lambda_28_loss: 0.3345 - val_loss: 2.1513 - val_distribution_lambda_26_loss: 0.4209 - val_distribution_lambda_27_loss: 1.3671 - val_distribution_lambda_28_loss: 0.3633\n",
+ "Epoch 1175/2500\n",
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+ "Epoch 1176/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9553 - distribution_lambda_26_loss: 0.3349 - distribution_lambda_27_loss: 1.2906 - distribution_lambda_28_loss: 0.3297 - val_loss: 2.1321 - val_distribution_lambda_26_loss: 0.4108 - val_distribution_lambda_27_loss: 1.3596 - val_distribution_lambda_28_loss: 0.3616\n",
+ "Epoch 1177/2500\n"
+ ]
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+ "Epoch 1178/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9383 - distribution_lambda_26_loss: 0.3512 - distribution_lambda_27_loss: 1.2649 - distribution_lambda_28_loss: 0.3222 - val_loss: 2.1299 - val_distribution_lambda_26_loss: 0.4093 - val_distribution_lambda_27_loss: 1.3607 - val_distribution_lambda_28_loss: 0.3599\n",
+ "Epoch 1179/2500\n",
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+ "Epoch 1180/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9202 - distribution_lambda_26_loss: 0.3423 - distribution_lambda_27_loss: 1.2725 - distribution_lambda_28_loss: 0.3054 - val_loss: 2.1289 - val_distribution_lambda_26_loss: 0.4157 - val_distribution_lambda_27_loss: 1.3568 - val_distribution_lambda_28_loss: 0.3563\n",
+ "Epoch 1181/2500\n",
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+ "Epoch 1182/2500\n",
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+ "Epoch 1183/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9666 - distribution_lambda_26_loss: 0.3377 - distribution_lambda_27_loss: 1.2928 - distribution_lambda_28_loss: 0.3361 - val_loss: 2.1267 - val_distribution_lambda_26_loss: 0.4234 - val_distribution_lambda_27_loss: 1.3523 - val_distribution_lambda_28_loss: 0.3510\n",
+ "Epoch 1184/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9016 - distribution_lambda_26_loss: 0.3436 - distribution_lambda_27_loss: 1.2535 - distribution_lambda_28_loss: 0.3045 - val_loss: 2.1275 - val_distribution_lambda_26_loss: 0.4236 - val_distribution_lambda_27_loss: 1.3527 - val_distribution_lambda_28_loss: 0.3512\n",
+ "Epoch 1185/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9280 - distribution_lambda_26_loss: 0.3380 - distribution_lambda_27_loss: 1.2747 - distribution_lambda_28_loss: 0.3154 - val_loss: 2.1170 - val_distribution_lambda_26_loss: 0.4136 - val_distribution_lambda_27_loss: 1.3521 - val_distribution_lambda_28_loss: 0.3513\n",
+ "Epoch 1186/2500\n",
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+ "Epoch 1187/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8950 - distribution_lambda_26_loss: 0.3322 - distribution_lambda_27_loss: 1.2505 - distribution_lambda_28_loss: 0.3124 - val_loss: 2.1204 - val_distribution_lambda_26_loss: 0.4184 - val_distribution_lambda_27_loss: 1.3495 - val_distribution_lambda_28_loss: 0.3526\n",
+ "Epoch 1188/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9061 - distribution_lambda_26_loss: 0.3184 - distribution_lambda_27_loss: 1.2753 - distribution_lambda_28_loss: 0.3125 - val_loss: 2.1221 - val_distribution_lambda_26_loss: 0.4149 - val_distribution_lambda_27_loss: 1.3546 - val_distribution_lambda_28_loss: 0.3527\n",
+ "Epoch 1189/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9241 - distribution_lambda_26_loss: 0.3224 - distribution_lambda_27_loss: 1.2744 - distribution_lambda_28_loss: 0.3273 - val_loss: 2.1292 - val_distribution_lambda_26_loss: 0.4165 - val_distribution_lambda_27_loss: 1.3592 - val_distribution_lambda_28_loss: 0.3535\n",
+ "Epoch 1190/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9438 - distribution_lambda_26_loss: 0.3305 - distribution_lambda_27_loss: 1.2769 - distribution_lambda_28_loss: 0.3363 - val_loss: 2.1157 - val_distribution_lambda_26_loss: 0.4101 - val_distribution_lambda_27_loss: 1.3556 - val_distribution_lambda_28_loss: 0.3499\n",
+ "Epoch 1191/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9032 - distribution_lambda_26_loss: 0.3279 - distribution_lambda_27_loss: 1.2723 - distribution_lambda_28_loss: 0.3029 - val_loss: 2.1116 - val_distribution_lambda_26_loss: 0.4119 - val_distribution_lambda_27_loss: 1.3517 - val_distribution_lambda_28_loss: 0.3481\n",
+ "Epoch 1192/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9272 - distribution_lambda_26_loss: 0.3478 - distribution_lambda_27_loss: 1.2666 - distribution_lambda_28_loss: 0.3127 - val_loss: 2.1161 - val_distribution_lambda_26_loss: 0.4189 - val_distribution_lambda_27_loss: 1.3486 - val_distribution_lambda_28_loss: 0.3487\n",
+ "Epoch 1193/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9224 - distribution_lambda_26_loss: 0.3498 - distribution_lambda_27_loss: 1.2622 - distribution_lambda_28_loss: 0.3104 - val_loss: 2.1090 - val_distribution_lambda_26_loss: 0.4164 - val_distribution_lambda_27_loss: 1.3464 - val_distribution_lambda_28_loss: 0.3463\n",
+ "Epoch 1194/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8902 - distribution_lambda_26_loss: 0.3176 - distribution_lambda_27_loss: 1.2557 - distribution_lambda_28_loss: 0.3169 - val_loss: 2.0983 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.3454 - val_distribution_lambda_28_loss: 0.3429\n",
+ "Epoch 1195/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9395 - distribution_lambda_26_loss: 0.3506 - distribution_lambda_27_loss: 1.2698 - distribution_lambda_28_loss: 0.3191 - val_loss: 2.1180 - val_distribution_lambda_26_loss: 0.4230 - val_distribution_lambda_27_loss: 1.3499 - val_distribution_lambda_28_loss: 0.3451\n",
+ "Epoch 1196/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9019 - distribution_lambda_26_loss: 0.3382 - distribution_lambda_27_loss: 1.2591 - distribution_lambda_28_loss: 0.3045 - val_loss: 2.1053 - val_distribution_lambda_26_loss: 0.4089 - val_distribution_lambda_27_loss: 1.3492 - val_distribution_lambda_28_loss: 0.3472\n",
+ "Epoch 1197/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8891 - distribution_lambda_26_loss: 0.3180 - distribution_lambda_27_loss: 1.2478 - distribution_lambda_28_loss: 0.3234 - val_loss: 2.1190 - val_distribution_lambda_26_loss: 0.4235 - val_distribution_lambda_27_loss: 1.3490 - val_distribution_lambda_28_loss: 0.3465\n",
+ "Epoch 1198/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8825 - distribution_lambda_26_loss: 0.3357 - distribution_lambda_27_loss: 1.2556 - distribution_lambda_28_loss: 0.2912 - val_loss: 2.1007 - val_distribution_lambda_26_loss: 0.4147 - val_distribution_lambda_27_loss: 1.3442 - val_distribution_lambda_28_loss: 0.3418\n",
+ "Epoch 1199/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8999 - distribution_lambda_26_loss: 0.3318 - distribution_lambda_27_loss: 1.2524 - distribution_lambda_28_loss: 0.3157 - val_loss: 2.0869 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.3401 - val_distribution_lambda_28_loss: 0.3397\n",
+ "Epoch 1200/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9427 - distribution_lambda_26_loss: 0.3279 - distribution_lambda_27_loss: 1.2804 - distribution_lambda_28_loss: 0.3344 - val_loss: 2.1034 - val_distribution_lambda_26_loss: 0.4188 - val_distribution_lambda_27_loss: 1.3400 - val_distribution_lambda_28_loss: 0.3446\n",
+ "Epoch 1201/2500\n"
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+ "Epoch 1202/2500\n",
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+ "Epoch 1203/2500\n",
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+ "Epoch 1204/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8799 - distribution_lambda_26_loss: 0.3296 - distribution_lambda_27_loss: 1.2531 - distribution_lambda_28_loss: 0.2973 - val_loss: 2.0984 - val_distribution_lambda_26_loss: 0.4267 - val_distribution_lambda_27_loss: 1.3334 - val_distribution_lambda_28_loss: 0.3383\n",
+ "Epoch 1205/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9108 - distribution_lambda_26_loss: 0.3324 - distribution_lambda_27_loss: 1.2535 - distribution_lambda_28_loss: 0.3248 - val_loss: 2.0760 - val_distribution_lambda_26_loss: 0.4032 - val_distribution_lambda_27_loss: 1.3347 - val_distribution_lambda_28_loss: 0.3381\n",
+ "Epoch 1206/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9278 - distribution_lambda_26_loss: 0.3369 - distribution_lambda_27_loss: 1.2716 - distribution_lambda_28_loss: 0.3192 - val_loss: 2.0749 - val_distribution_lambda_26_loss: 0.4089 - val_distribution_lambda_27_loss: 1.3306 - val_distribution_lambda_28_loss: 0.3355\n",
+ "Epoch 1207/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9226 - distribution_lambda_26_loss: 0.3324 - distribution_lambda_27_loss: 1.2628 - distribution_lambda_28_loss: 0.3274 - val_loss: 2.0765 - val_distribution_lambda_26_loss: 0.4082 - val_distribution_lambda_27_loss: 1.3321 - val_distribution_lambda_28_loss: 0.3362\n",
+ "Epoch 1208/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8793 - distribution_lambda_26_loss: 0.3326 - distribution_lambda_27_loss: 1.2382 - distribution_lambda_28_loss: 0.3085 - val_loss: 2.0953 - val_distribution_lambda_26_loss: 0.4273 - val_distribution_lambda_27_loss: 1.3315 - val_distribution_lambda_28_loss: 0.3364\n",
+ "Epoch 1209/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9060 - distribution_lambda_26_loss: 0.3292 - distribution_lambda_27_loss: 1.2682 - distribution_lambda_28_loss: 0.3086 - val_loss: 2.0955 - val_distribution_lambda_26_loss: 0.4240 - val_distribution_lambda_27_loss: 1.3356 - val_distribution_lambda_28_loss: 0.3359\n",
+ "Epoch 1210/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9024 - distribution_lambda_26_loss: 0.3367 - distribution_lambda_27_loss: 1.2516 - distribution_lambda_28_loss: 0.3141 - val_loss: 2.0975 - val_distribution_lambda_26_loss: 0.4273 - val_distribution_lambda_27_loss: 1.3309 - val_distribution_lambda_28_loss: 0.3393\n",
+ "Epoch 1211/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8730 - distribution_lambda_26_loss: 0.3283 - distribution_lambda_27_loss: 1.2427 - distribution_lambda_28_loss: 0.3019 - val_loss: 2.0813 - val_distribution_lambda_26_loss: 0.4166 - val_distribution_lambda_27_loss: 1.3294 - val_distribution_lambda_28_loss: 0.3353\n",
+ "Epoch 1212/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8636 - distribution_lambda_26_loss: 0.3244 - distribution_lambda_27_loss: 1.2340 - distribution_lambda_28_loss: 0.3052 - val_loss: 2.0831 - val_distribution_lambda_26_loss: 0.4159 - val_distribution_lambda_27_loss: 1.3310 - val_distribution_lambda_28_loss: 0.3361\n",
+ "Epoch 1213/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8674 - distribution_lambda_26_loss: 0.3162 - distribution_lambda_27_loss: 1.2549 - distribution_lambda_28_loss: 0.2963 - val_loss: 2.0799 - val_distribution_lambda_26_loss: 0.4151 - val_distribution_lambda_27_loss: 1.3296 - val_distribution_lambda_28_loss: 0.3353\n",
+ "Epoch 1214/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8446 - distribution_lambda_26_loss: 0.3285 - distribution_lambda_27_loss: 1.2158 - distribution_lambda_28_loss: 0.3003 - val_loss: 2.0881 - val_distribution_lambda_26_loss: 0.4220 - val_distribution_lambda_27_loss: 1.3303 - val_distribution_lambda_28_loss: 0.3358\n",
+ "Epoch 1215/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8966 - distribution_lambda_26_loss: 0.3374 - distribution_lambda_27_loss: 1.2477 - distribution_lambda_28_loss: 0.3115 - val_loss: 2.0782 - val_distribution_lambda_26_loss: 0.4172 - val_distribution_lambda_27_loss: 1.3269 - val_distribution_lambda_28_loss: 0.3341\n",
+ "Epoch 1216/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8091 - distribution_lambda_26_loss: 0.2950 - distribution_lambda_27_loss: 1.2254 - distribution_lambda_28_loss: 0.2887 - val_loss: 2.0718 - val_distribution_lambda_26_loss: 0.4137 - val_distribution_lambda_27_loss: 1.3264 - val_distribution_lambda_28_loss: 0.3317\n",
+ "Epoch 1217/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8917 - distribution_lambda_26_loss: 0.3225 - distribution_lambda_27_loss: 1.2609 - distribution_lambda_28_loss: 0.3083 - val_loss: 2.0772 - val_distribution_lambda_26_loss: 0.4203 - val_distribution_lambda_27_loss: 1.3260 - val_distribution_lambda_28_loss: 0.3310\n",
+ "Epoch 1218/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8634 - distribution_lambda_26_loss: 0.3154 - distribution_lambda_27_loss: 1.2375 - distribution_lambda_28_loss: 0.3105 - val_loss: 2.0781 - val_distribution_lambda_26_loss: 0.4235 - val_distribution_lambda_27_loss: 1.3260 - val_distribution_lambda_28_loss: 0.3286\n",
+ "Epoch 1219/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9059 - distribution_lambda_26_loss: 0.3250 - distribution_lambda_27_loss: 1.2734 - distribution_lambda_28_loss: 0.3075 - val_loss: 2.0858 - val_distribution_lambda_26_loss: 0.4324 - val_distribution_lambda_27_loss: 1.3228 - val_distribution_lambda_28_loss: 0.3306\n",
+ "Epoch 1220/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8586 - distribution_lambda_26_loss: 0.3223 - distribution_lambda_27_loss: 1.2293 - distribution_lambda_28_loss: 0.3070 - val_loss: 2.0634 - val_distribution_lambda_26_loss: 0.4199 - val_distribution_lambda_27_loss: 1.3159 - val_distribution_lambda_28_loss: 0.3277\n",
+ "Epoch 1221/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8576 - distribution_lambda_26_loss: 0.3141 - distribution_lambda_27_loss: 1.2422 - distribution_lambda_28_loss: 0.3013 - val_loss: 2.0492 - val_distribution_lambda_26_loss: 0.4104 - val_distribution_lambda_27_loss: 1.3136 - val_distribution_lambda_28_loss: 0.3252\n",
+ "Epoch 1222/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8787 - distribution_lambda_26_loss: 0.3219 - distribution_lambda_27_loss: 1.2528 - distribution_lambda_28_loss: 0.3041 - val_loss: 2.0624 - val_distribution_lambda_26_loss: 0.4160 - val_distribution_lambda_27_loss: 1.3172 - val_distribution_lambda_28_loss: 0.3292\n",
+ "Epoch 1223/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8581 - distribution_lambda_26_loss: 0.3109 - distribution_lambda_27_loss: 1.2420 - distribution_lambda_28_loss: 0.3053 - val_loss: 2.0597 - val_distribution_lambda_26_loss: 0.4114 - val_distribution_lambda_27_loss: 1.3173 - val_distribution_lambda_28_loss: 0.3310\n",
+ "Epoch 1224/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8560 - distribution_lambda_26_loss: 0.3337 - distribution_lambda_27_loss: 1.2256 - distribution_lambda_28_loss: 0.2967 - val_loss: 2.0637 - val_distribution_lambda_26_loss: 0.4153 - val_distribution_lambda_27_loss: 1.3180 - val_distribution_lambda_28_loss: 0.3303\n",
+ "Epoch 1225/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8865 - distribution_lambda_26_loss: 0.3130 - distribution_lambda_27_loss: 1.2599 - distribution_lambda_28_loss: 0.3136 - val_loss: 2.0592 - val_distribution_lambda_26_loss: 0.4114 - val_distribution_lambda_27_loss: 1.3185 - val_distribution_lambda_28_loss: 0.3293\n",
+ "Epoch 1226/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9036 - distribution_lambda_26_loss: 0.3256 - distribution_lambda_27_loss: 1.2631 - distribution_lambda_28_loss: 0.3148 - val_loss: 2.0667 - val_distribution_lambda_26_loss: 0.4190 - val_distribution_lambda_27_loss: 1.3193 - val_distribution_lambda_28_loss: 0.3285\n",
+ "Epoch 1227/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8570 - distribution_lambda_26_loss: 0.3100 - distribution_lambda_27_loss: 1.2486 - distribution_lambda_28_loss: 0.2983 - val_loss: 2.0591 - val_distribution_lambda_26_loss: 0.4093 - val_distribution_lambda_27_loss: 1.3188 - val_distribution_lambda_28_loss: 0.3310\n",
+ "Epoch 1228/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8614 - distribution_lambda_26_loss: 0.3116 - distribution_lambda_27_loss: 1.2354 - distribution_lambda_28_loss: 0.3143 - val_loss: 2.0540 - val_distribution_lambda_26_loss: 0.4109 - val_distribution_lambda_27_loss: 1.3148 - val_distribution_lambda_28_loss: 0.3283\n",
+ "Epoch 1229/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8485 - distribution_lambda_26_loss: 0.3141 - distribution_lambda_27_loss: 1.2351 - distribution_lambda_28_loss: 0.2993 - val_loss: 2.0719 - val_distribution_lambda_26_loss: 0.4301 - val_distribution_lambda_27_loss: 1.3138 - val_distribution_lambda_28_loss: 0.3280\n",
+ "Epoch 1230/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8144 - distribution_lambda_26_loss: 0.3136 - distribution_lambda_27_loss: 1.2161 - distribution_lambda_28_loss: 0.2847 - val_loss: 2.0693 - val_distribution_lambda_26_loss: 0.4261 - val_distribution_lambda_27_loss: 1.3152 - val_distribution_lambda_28_loss: 0.3280\n",
+ "Epoch 1231/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8628 - distribution_lambda_26_loss: 0.3315 - distribution_lambda_27_loss: 1.2413 - distribution_lambda_28_loss: 0.2901 - val_loss: 2.0460 - val_distribution_lambda_26_loss: 0.4109 - val_distribution_lambda_27_loss: 1.3111 - val_distribution_lambda_28_loss: 0.3240\n",
+ "Epoch 1232/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8012 - distribution_lambda_26_loss: 0.3153 - distribution_lambda_27_loss: 1.2076 - distribution_lambda_28_loss: 0.2782 - val_loss: 2.0363 - val_distribution_lambda_26_loss: 0.4061 - val_distribution_lambda_27_loss: 1.3092 - val_distribution_lambda_28_loss: 0.3211\n",
+ "Epoch 1233/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8819 - distribution_lambda_26_loss: 0.3358 - distribution_lambda_27_loss: 1.2362 - distribution_lambda_28_loss: 0.3100 - val_loss: 2.0442 - val_distribution_lambda_26_loss: 0.4175 - val_distribution_lambda_27_loss: 1.3063 - val_distribution_lambda_28_loss: 0.3204\n",
+ "Epoch 1234/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7934 - distribution_lambda_26_loss: 0.3040 - distribution_lambda_27_loss: 1.2101 - distribution_lambda_28_loss: 0.2793 - val_loss: 2.0470 - val_distribution_lambda_26_loss: 0.4151 - val_distribution_lambda_27_loss: 1.3098 - val_distribution_lambda_28_loss: 0.3221\n",
+ "Epoch 1235/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8616 - distribution_lambda_26_loss: 0.3099 - distribution_lambda_27_loss: 1.2534 - distribution_lambda_28_loss: 0.2983 - val_loss: 2.0460 - val_distribution_lambda_26_loss: 0.4146 - val_distribution_lambda_27_loss: 1.3070 - val_distribution_lambda_28_loss: 0.3244\n",
+ "Epoch 1236/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8659 - distribution_lambda_26_loss: 0.3239 - distribution_lambda_27_loss: 1.2505 - distribution_lambda_28_loss: 0.2915 - val_loss: 2.0382 - val_distribution_lambda_26_loss: 0.4135 - val_distribution_lambda_27_loss: 1.3030 - val_distribution_lambda_28_loss: 0.3217\n",
+ "Epoch 1237/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.8294 - distribution_lambda_26_loss: 0.3261 - distribution_lambda_27_loss: 1.2172 - distribution_lambda_28_loss: 0.2861 - val_loss: 2.0361 - val_distribution_lambda_26_loss: 0.4147 - val_distribution_lambda_27_loss: 1.2997 - val_distribution_lambda_28_loss: 0.3217\n",
+ "Epoch 1238/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.8343 - distribution_lambda_26_loss: 0.2969 - distribution_lambda_27_loss: 1.2419 - distribution_lambda_28_loss: 0.2954 - val_loss: 2.0308 - val_distribution_lambda_26_loss: 0.4143 - val_distribution_lambda_27_loss: 1.2985 - val_distribution_lambda_28_loss: 0.3180\n",
+ "Epoch 1239/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8668 - distribution_lambda_26_loss: 0.3152 - distribution_lambda_27_loss: 1.2323 - distribution_lambda_28_loss: 0.3192 - val_loss: 2.0278 - val_distribution_lambda_26_loss: 0.4053 - val_distribution_lambda_27_loss: 1.3009 - val_distribution_lambda_28_loss: 0.3215\n",
+ "Epoch 1240/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8591 - distribution_lambda_26_loss: 0.3132 - distribution_lambda_27_loss: 1.2408 - distribution_lambda_28_loss: 0.3051 - val_loss: 2.0265 - val_distribution_lambda_26_loss: 0.4119 - val_distribution_lambda_27_loss: 1.2972 - val_distribution_lambda_28_loss: 0.3174\n",
+ "Epoch 1241/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8563 - distribution_lambda_26_loss: 0.3093 - distribution_lambda_27_loss: 1.2508 - distribution_lambda_28_loss: 0.2962 - val_loss: 2.0337 - val_distribution_lambda_26_loss: 0.4161 - val_distribution_lambda_27_loss: 1.2984 - val_distribution_lambda_28_loss: 0.3192\n",
+ "Epoch 1242/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7869 - distribution_lambda_26_loss: 0.2895 - distribution_lambda_27_loss: 1.2191 - distribution_lambda_28_loss: 0.2782 - val_loss: 2.0212 - val_distribution_lambda_26_loss: 0.4086 - val_distribution_lambda_27_loss: 1.2939 - val_distribution_lambda_28_loss: 0.3186\n",
+ "Epoch 1243/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8404 - distribution_lambda_26_loss: 0.3055 - distribution_lambda_27_loss: 1.2420 - distribution_lambda_28_loss: 0.2929 - val_loss: 2.0333 - val_distribution_lambda_26_loss: 0.4194 - val_distribution_lambda_27_loss: 1.2954 - val_distribution_lambda_28_loss: 0.3185\n",
+ "Epoch 1244/2500\n",
+ "8/8 [==============================] - 0s 9ms/step - loss: 1.8695 - distribution_lambda_26_loss: 0.3338 - distribution_lambda_27_loss: 1.2336 - distribution_lambda_28_loss: 0.3021 - val_loss: 2.0343 - val_distribution_lambda_26_loss: 0.4238 - val_distribution_lambda_27_loss: 1.2927 - val_distribution_lambda_28_loss: 0.3178\n",
+ "Epoch 1245/2500\n",
+ "8/8 [==============================] - 0s 11ms/step - loss: 1.8287 - distribution_lambda_26_loss: 0.3077 - distribution_lambda_27_loss: 1.2352 - distribution_lambda_28_loss: 0.2858 - val_loss: 2.0288 - val_distribution_lambda_26_loss: 0.4148 - val_distribution_lambda_27_loss: 1.2938 - val_distribution_lambda_28_loss: 0.3202\n",
+ "Epoch 1246/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8382 - distribution_lambda_26_loss: 0.3046 - distribution_lambda_27_loss: 1.2309 - distribution_lambda_28_loss: 0.3027 - val_loss: 2.0265 - val_distribution_lambda_26_loss: 0.4136 - val_distribution_lambda_27_loss: 1.2934 - val_distribution_lambda_28_loss: 0.3195\n",
+ "Epoch 1247/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8401 - distribution_lambda_26_loss: 0.2991 - distribution_lambda_27_loss: 1.2365 - distribution_lambda_28_loss: 0.3045 - val_loss: 2.0278 - val_distribution_lambda_26_loss: 0.4158 - val_distribution_lambda_27_loss: 1.2899 - val_distribution_lambda_28_loss: 0.3221\n",
+ "Epoch 1248/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8422 - distribution_lambda_26_loss: 0.3180 - distribution_lambda_27_loss: 1.2334 - distribution_lambda_28_loss: 0.2908 - val_loss: 2.0175 - val_distribution_lambda_26_loss: 0.4050 - val_distribution_lambda_27_loss: 1.2878 - val_distribution_lambda_28_loss: 0.3247\n",
+ "Epoch 1249/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8479 - distribution_lambda_26_loss: 0.3188 - distribution_lambda_27_loss: 1.2339 - distribution_lambda_28_loss: 0.2952 - val_loss: 2.0206 - val_distribution_lambda_26_loss: 0.4183 - val_distribution_lambda_27_loss: 1.2851 - val_distribution_lambda_28_loss: 0.3172\n",
+ "Epoch 1250/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8554 - distribution_lambda_26_loss: 0.3169 - distribution_lambda_27_loss: 1.2403 - distribution_lambda_28_loss: 0.2982 - val_loss: 2.0224 - val_distribution_lambda_26_loss: 0.4176 - val_distribution_lambda_27_loss: 1.2883 - val_distribution_lambda_28_loss: 0.3166\n",
+ "Epoch 1251/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8327 - distribution_lambda_26_loss: 0.3041 - distribution_lambda_27_loss: 1.2301 - distribution_lambda_28_loss: 0.2985 - val_loss: 2.0228 - val_distribution_lambda_26_loss: 0.4171 - val_distribution_lambda_27_loss: 1.2896 - val_distribution_lambda_28_loss: 0.3161\n",
+ "Epoch 1252/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8173 - distribution_lambda_26_loss: 0.3169 - distribution_lambda_27_loss: 1.2154 - distribution_lambda_28_loss: 0.2850 - val_loss: 2.0230 - val_distribution_lambda_26_loss: 0.4094 - val_distribution_lambda_27_loss: 1.2953 - val_distribution_lambda_28_loss: 0.3184\n",
+ "Epoch 1253/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8042 - distribution_lambda_26_loss: 0.3170 - distribution_lambda_27_loss: 1.2085 - distribution_lambda_28_loss: 0.2787 - val_loss: 2.0125 - val_distribution_lambda_26_loss: 0.4044 - val_distribution_lambda_27_loss: 1.2930 - val_distribution_lambda_28_loss: 0.3151\n",
+ "Epoch 1254/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8433 - distribution_lambda_26_loss: 0.3020 - distribution_lambda_27_loss: 1.2327 - distribution_lambda_28_loss: 0.3086 - val_loss: 2.0177 - val_distribution_lambda_26_loss: 0.4090 - val_distribution_lambda_27_loss: 1.2918 - val_distribution_lambda_28_loss: 0.3169\n",
+ "Epoch 1255/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8283 - distribution_lambda_26_loss: 0.3036 - distribution_lambda_27_loss: 1.2257 - distribution_lambda_28_loss: 0.2990 - val_loss: 2.0306 - val_distribution_lambda_26_loss: 0.4238 - val_distribution_lambda_27_loss: 1.2899 - val_distribution_lambda_28_loss: 0.3169\n",
+ "Epoch 1256/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8024 - distribution_lambda_26_loss: 0.3187 - distribution_lambda_27_loss: 1.2108 - distribution_lambda_28_loss: 0.2729 - val_loss: 2.0060 - val_distribution_lambda_26_loss: 0.4104 - val_distribution_lambda_27_loss: 1.2809 - val_distribution_lambda_28_loss: 0.3147\n",
+ "Epoch 1257/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8029 - distribution_lambda_26_loss: 0.3002 - distribution_lambda_27_loss: 1.2270 - distribution_lambda_28_loss: 0.2757 - val_loss: 2.0067 - val_distribution_lambda_26_loss: 0.4117 - val_distribution_lambda_27_loss: 1.2802 - val_distribution_lambda_28_loss: 0.3149\n",
+ "Epoch 1258/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7896 - distribution_lambda_26_loss: 0.3109 - distribution_lambda_27_loss: 1.2083 - distribution_lambda_28_loss: 0.2704 - val_loss: 2.0048 - val_distribution_lambda_26_loss: 0.4164 - val_distribution_lambda_27_loss: 1.2769 - val_distribution_lambda_28_loss: 0.3115\n",
+ "Epoch 1259/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7822 - distribution_lambda_26_loss: 0.3091 - distribution_lambda_27_loss: 1.1963 - distribution_lambda_28_loss: 0.2768 - val_loss: 1.9907 - val_distribution_lambda_26_loss: 0.4063 - val_distribution_lambda_27_loss: 1.2721 - val_distribution_lambda_28_loss: 0.3123\n",
+ "Epoch 1260/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7922 - distribution_lambda_26_loss: 0.2822 - distribution_lambda_27_loss: 1.2181 - distribution_lambda_28_loss: 0.2919 - val_loss: 1.9935 - val_distribution_lambda_26_loss: 0.4158 - val_distribution_lambda_27_loss: 1.2668 - val_distribution_lambda_28_loss: 0.3109\n",
+ "Epoch 1261/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7922 - distribution_lambda_26_loss: 0.3018 - distribution_lambda_27_loss: 1.1998 - distribution_lambda_28_loss: 0.2905 - val_loss: 1.9898 - val_distribution_lambda_26_loss: 0.4101 - val_distribution_lambda_27_loss: 1.2683 - val_distribution_lambda_28_loss: 0.3113\n",
+ "Epoch 1262/2500\n",
+ "8/8 [==============================] - 0s 9ms/step - loss: 1.8048 - distribution_lambda_26_loss: 0.2980 - distribution_lambda_27_loss: 1.2233 - distribution_lambda_28_loss: 0.2834 - val_loss: 1.9865 - val_distribution_lambda_26_loss: 0.4038 - val_distribution_lambda_27_loss: 1.2696 - val_distribution_lambda_28_loss: 0.3130\n",
+ "Epoch 1263/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7661 - distribution_lambda_26_loss: 0.2978 - distribution_lambda_27_loss: 1.1859 - distribution_lambda_28_loss: 0.2824 - val_loss: 2.0106 - val_distribution_lambda_26_loss: 0.4162 - val_distribution_lambda_27_loss: 1.2754 - val_distribution_lambda_28_loss: 0.3190\n",
+ "Epoch 1264/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7723 - distribution_lambda_26_loss: 0.3080 - distribution_lambda_27_loss: 1.1801 - distribution_lambda_28_loss: 0.2843 - val_loss: 2.0154 - val_distribution_lambda_26_loss: 0.4177 - val_distribution_lambda_27_loss: 1.2773 - val_distribution_lambda_28_loss: 0.3204\n",
+ "Epoch 1265/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7459 - distribution_lambda_26_loss: 0.3012 - distribution_lambda_27_loss: 1.1750 - distribution_lambda_28_loss: 0.2697 - val_loss: 2.0047 - val_distribution_lambda_26_loss: 0.4126 - val_distribution_lambda_27_loss: 1.2748 - val_distribution_lambda_28_loss: 0.3173\n",
+ "Epoch 1266/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7724 - distribution_lambda_26_loss: 0.2995 - distribution_lambda_27_loss: 1.2059 - distribution_lambda_28_loss: 0.2670 - val_loss: 1.9830 - val_distribution_lambda_26_loss: 0.4029 - val_distribution_lambda_27_loss: 1.2655 - val_distribution_lambda_28_loss: 0.3147\n",
+ "Epoch 1267/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7833 - distribution_lambda_26_loss: 0.3101 - distribution_lambda_27_loss: 1.2076 - distribution_lambda_28_loss: 0.2655 - val_loss: 1.9888 - val_distribution_lambda_26_loss: 0.4061 - val_distribution_lambda_27_loss: 1.2636 - val_distribution_lambda_28_loss: 0.3190\n",
+ "Epoch 1268/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8066 - distribution_lambda_26_loss: 0.3115 - distribution_lambda_27_loss: 1.2053 - distribution_lambda_28_loss: 0.2898 - val_loss: 1.9932 - val_distribution_lambda_26_loss: 0.4196 - val_distribution_lambda_27_loss: 1.2589 - val_distribution_lambda_28_loss: 0.3147\n",
+ "Epoch 1269/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8186 - distribution_lambda_26_loss: 0.3004 - distribution_lambda_27_loss: 1.2167 - distribution_lambda_28_loss: 0.3015 - val_loss: 1.9728 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.2525 - val_distribution_lambda_28_loss: 0.3104\n",
+ "Epoch 1270/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7870 - distribution_lambda_26_loss: 0.3013 - distribution_lambda_27_loss: 1.2053 - distribution_lambda_28_loss: 0.2805 - val_loss: 1.9662 - val_distribution_lambda_26_loss: 0.4073 - val_distribution_lambda_27_loss: 1.2496 - val_distribution_lambda_28_loss: 0.3093\n",
+ "Epoch 1271/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8132 - distribution_lambda_26_loss: 0.3076 - distribution_lambda_27_loss: 1.2158 - distribution_lambda_28_loss: 0.2899 - val_loss: 1.9635 - val_distribution_lambda_26_loss: 0.4032 - val_distribution_lambda_27_loss: 1.2514 - val_distribution_lambda_28_loss: 0.3090\n",
+ "Epoch 1272/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8041 - distribution_lambda_26_loss: 0.3264 - distribution_lambda_27_loss: 1.2054 - distribution_lambda_28_loss: 0.2723 - val_loss: 1.9768 - val_distribution_lambda_26_loss: 0.4118 - val_distribution_lambda_27_loss: 1.2549 - val_distribution_lambda_28_loss: 0.3101\n",
+ "Epoch 1273/2500\n"
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+ "Epoch 1274/2500\n",
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+ "Epoch 1279/2500\n",
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+ "Epoch 1280/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7476 - distribution_lambda_26_loss: 0.2865 - distribution_lambda_27_loss: 1.1955 - distribution_lambda_28_loss: 0.2657 - val_loss: 1.9387 - val_distribution_lambda_26_loss: 0.4043 - val_distribution_lambda_27_loss: 1.2329 - val_distribution_lambda_28_loss: 0.3014\n",
+ "Epoch 1281/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8028 - distribution_lambda_26_loss: 0.3094 - distribution_lambda_27_loss: 1.2185 - distribution_lambda_28_loss: 0.2750 - val_loss: 1.9412 - val_distribution_lambda_26_loss: 0.4083 - val_distribution_lambda_27_loss: 1.2322 - val_distribution_lambda_28_loss: 0.3006\n",
+ "Epoch 1282/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7249 - distribution_lambda_26_loss: 0.2992 - distribution_lambda_27_loss: 1.1741 - distribution_lambda_28_loss: 0.2517 - val_loss: 1.9456 - val_distribution_lambda_26_loss: 0.4102 - val_distribution_lambda_27_loss: 1.2347 - val_distribution_lambda_28_loss: 0.3007\n",
+ "Epoch 1283/2500\n",
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+ "Epoch 1284/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8278 - distribution_lambda_26_loss: 0.3109 - distribution_lambda_27_loss: 1.2190 - distribution_lambda_28_loss: 0.2979 - val_loss: 1.9475 - val_distribution_lambda_26_loss: 0.4081 - val_distribution_lambda_27_loss: 1.2368 - val_distribution_lambda_28_loss: 0.3025\n",
+ "Epoch 1285/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7912 - distribution_lambda_26_loss: 0.3196 - distribution_lambda_27_loss: 1.1929 - distribution_lambda_28_loss: 0.2786 - val_loss: 1.9677 - val_distribution_lambda_26_loss: 0.4177 - val_distribution_lambda_27_loss: 1.2453 - val_distribution_lambda_28_loss: 0.3047\n",
+ "Epoch 1286/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7797 - distribution_lambda_26_loss: 0.2940 - distribution_lambda_27_loss: 1.2034 - distribution_lambda_28_loss: 0.2823 - val_loss: 1.9459 - val_distribution_lambda_26_loss: 0.4036 - val_distribution_lambda_27_loss: 1.2395 - val_distribution_lambda_28_loss: 0.3027\n",
+ "Epoch 1287/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7303 - distribution_lambda_26_loss: 0.2826 - distribution_lambda_27_loss: 1.1822 - distribution_lambda_28_loss: 0.2655 - val_loss: 1.9465 - val_distribution_lambda_26_loss: 0.4062 - val_distribution_lambda_27_loss: 1.2374 - val_distribution_lambda_28_loss: 0.3029\n",
+ "Epoch 1288/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7809 - distribution_lambda_26_loss: 0.3162 - distribution_lambda_27_loss: 1.1933 - distribution_lambda_28_loss: 0.2713 - val_loss: 1.9387 - val_distribution_lambda_26_loss: 0.3980 - val_distribution_lambda_27_loss: 1.2388 - val_distribution_lambda_28_loss: 0.3019\n",
+ "Epoch 1289/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7200 - distribution_lambda_26_loss: 0.2972 - distribution_lambda_27_loss: 1.1716 - distribution_lambda_28_loss: 0.2513 - val_loss: 1.9409 - val_distribution_lambda_26_loss: 0.4062 - val_distribution_lambda_27_loss: 1.2359 - val_distribution_lambda_28_loss: 0.2988\n",
+ "Epoch 1290/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7345 - distribution_lambda_26_loss: 0.2926 - distribution_lambda_27_loss: 1.1764 - distribution_lambda_28_loss: 0.2655 - val_loss: 1.9280 - val_distribution_lambda_26_loss: 0.3967 - val_distribution_lambda_27_loss: 1.2299 - val_distribution_lambda_28_loss: 0.3014\n",
+ "Epoch 1291/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7374 - distribution_lambda_26_loss: 0.2908 - distribution_lambda_27_loss: 1.1825 - distribution_lambda_28_loss: 0.2641 - val_loss: 1.9471 - val_distribution_lambda_26_loss: 0.4120 - val_distribution_lambda_27_loss: 1.2326 - val_distribution_lambda_28_loss: 0.3025\n",
+ "Epoch 1292/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7957 - distribution_lambda_26_loss: 0.2966 - distribution_lambda_27_loss: 1.2184 - distribution_lambda_28_loss: 0.2807 - val_loss: 1.9358 - val_distribution_lambda_26_loss: 0.4097 - val_distribution_lambda_27_loss: 1.2270 - val_distribution_lambda_28_loss: 0.2991\n",
+ "Epoch 1293/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7714 - distribution_lambda_26_loss: 0.3082 - distribution_lambda_27_loss: 1.1918 - distribution_lambda_28_loss: 0.2714 - val_loss: 1.9305 - val_distribution_lambda_26_loss: 0.4026 - val_distribution_lambda_27_loss: 1.2281 - val_distribution_lambda_28_loss: 0.2998\n",
+ "Epoch 1294/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7490 - distribution_lambda_26_loss: 0.3019 - distribution_lambda_27_loss: 1.1693 - distribution_lambda_28_loss: 0.2778 - val_loss: 1.9338 - val_distribution_lambda_26_loss: 0.4094 - val_distribution_lambda_27_loss: 1.2236 - val_distribution_lambda_28_loss: 0.3008\n",
+ "Epoch 1295/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7738 - distribution_lambda_26_loss: 0.3006 - distribution_lambda_27_loss: 1.1928 - distribution_lambda_28_loss: 0.2804 - val_loss: 1.9475 - val_distribution_lambda_26_loss: 0.4221 - val_distribution_lambda_27_loss: 1.2240 - val_distribution_lambda_28_loss: 0.3014\n",
+ "Epoch 1296/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7697 - distribution_lambda_26_loss: 0.3088 - distribution_lambda_27_loss: 1.1976 - distribution_lambda_28_loss: 0.2633 - val_loss: 1.9327 - val_distribution_lambda_26_loss: 0.4084 - val_distribution_lambda_27_loss: 1.2227 - val_distribution_lambda_28_loss: 0.3016\n",
+ "Epoch 1297/2500\n"
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+ "Epoch 1298/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7816 - distribution_lambda_26_loss: 0.2947 - distribution_lambda_27_loss: 1.1983 - distribution_lambda_28_loss: 0.2886 - val_loss: 1.9235 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.2185 - val_distribution_lambda_28_loss: 0.2979\n",
+ "Epoch 1299/2500\n",
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+ "Epoch 1300/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7695 - distribution_lambda_26_loss: 0.3185 - distribution_lambda_27_loss: 1.1918 - distribution_lambda_28_loss: 0.2591 - val_loss: 1.9181 - val_distribution_lambda_26_loss: 0.4000 - val_distribution_lambda_27_loss: 1.2198 - val_distribution_lambda_28_loss: 0.2983\n",
+ "Epoch 1301/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7982 - distribution_lambda_26_loss: 0.3145 - distribution_lambda_27_loss: 1.2027 - distribution_lambda_28_loss: 0.2810 - val_loss: 1.9301 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.2190 - val_distribution_lambda_28_loss: 0.3011\n",
+ "Epoch 1302/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7550 - distribution_lambda_26_loss: 0.3086 - distribution_lambda_27_loss: 1.1836 - distribution_lambda_28_loss: 0.2628 - val_loss: 1.9384 - val_distribution_lambda_26_loss: 0.4203 - val_distribution_lambda_27_loss: 1.2173 - val_distribution_lambda_28_loss: 0.3007\n",
+ "Epoch 1303/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7936 - distribution_lambda_26_loss: 0.2936 - distribution_lambda_27_loss: 1.2155 - distribution_lambda_28_loss: 0.2845 - val_loss: 1.9295 - val_distribution_lambda_26_loss: 0.4144 - val_distribution_lambda_27_loss: 1.2164 - val_distribution_lambda_28_loss: 0.2986\n",
+ "Epoch 1304/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 1.7365 - distribution_lambda_26_loss: 0.3023 - distribution_lambda_27_loss: 1.1697 - distribution_lambda_28_loss: 0.2646 - val_loss: 1.9402 - val_distribution_lambda_26_loss: 0.4162 - val_distribution_lambda_27_loss: 1.2237 - val_distribution_lambda_28_loss: 0.3003\n",
+ "Epoch 1305/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7409 - distribution_lambda_26_loss: 0.3091 - distribution_lambda_27_loss: 1.1646 - distribution_lambda_28_loss: 0.2672 - val_loss: 1.9332 - val_distribution_lambda_26_loss: 0.4120 - val_distribution_lambda_27_loss: 1.2195 - val_distribution_lambda_28_loss: 0.3017\n",
+ "Epoch 1306/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7855 - distribution_lambda_26_loss: 0.3244 - distribution_lambda_27_loss: 1.1878 - distribution_lambda_28_loss: 0.2733 - val_loss: 1.9214 - val_distribution_lambda_26_loss: 0.4138 - val_distribution_lambda_27_loss: 1.2104 - val_distribution_lambda_28_loss: 0.2972\n",
+ "Epoch 1307/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7828 - distribution_lambda_26_loss: 0.3195 - distribution_lambda_27_loss: 1.1874 - distribution_lambda_28_loss: 0.2759 - val_loss: 1.9086 - val_distribution_lambda_26_loss: 0.4080 - val_distribution_lambda_27_loss: 1.2050 - val_distribution_lambda_28_loss: 0.2956\n",
+ "Epoch 1308/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6954 - distribution_lambda_26_loss: 0.2811 - distribution_lambda_27_loss: 1.1625 - distribution_lambda_28_loss: 0.2517 - val_loss: 1.8996 - val_distribution_lambda_26_loss: 0.4044 - val_distribution_lambda_27_loss: 1.2022 - val_distribution_lambda_28_loss: 0.2930\n",
+ "Epoch 1309/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8071 - distribution_lambda_26_loss: 0.3050 - distribution_lambda_27_loss: 1.2201 - distribution_lambda_28_loss: 0.2820 - val_loss: 1.8971 - val_distribution_lambda_26_loss: 0.3960 - val_distribution_lambda_27_loss: 1.2046 - val_distribution_lambda_28_loss: 0.2965\n",
+ "Epoch 1310/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7471 - distribution_lambda_26_loss: 0.2950 - distribution_lambda_27_loss: 1.1892 - distribution_lambda_28_loss: 0.2629 - val_loss: 1.9143 - val_distribution_lambda_26_loss: 0.4092 - val_distribution_lambda_27_loss: 1.2084 - val_distribution_lambda_28_loss: 0.2967\n",
+ "Epoch 1311/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7186 - distribution_lambda_26_loss: 0.2850 - distribution_lambda_27_loss: 1.1672 - distribution_lambda_28_loss: 0.2664 - val_loss: 1.9102 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.2054 - val_distribution_lambda_28_loss: 0.2976\n",
+ "Epoch 1312/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6931 - distribution_lambda_26_loss: 0.3015 - distribution_lambda_27_loss: 1.1472 - distribution_lambda_28_loss: 0.2443 - val_loss: 1.9169 - val_distribution_lambda_26_loss: 0.4136 - val_distribution_lambda_27_loss: 1.2070 - val_distribution_lambda_28_loss: 0.2963\n",
+ "Epoch 1313/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7593 - distribution_lambda_26_loss: 0.2820 - distribution_lambda_27_loss: 1.1993 - distribution_lambda_28_loss: 0.2780 - val_loss: 1.9103 - val_distribution_lambda_26_loss: 0.4098 - val_distribution_lambda_27_loss: 1.2031 - val_distribution_lambda_28_loss: 0.2974\n",
+ "Epoch 1314/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7579 - distribution_lambda_26_loss: 0.2948 - distribution_lambda_27_loss: 1.1883 - distribution_lambda_28_loss: 0.2748 - val_loss: 1.9275 - val_distribution_lambda_26_loss: 0.4219 - val_distribution_lambda_27_loss: 1.2054 - val_distribution_lambda_28_loss: 0.3002\n",
+ "Epoch 1315/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7490 - distribution_lambda_26_loss: 0.2864 - distribution_lambda_27_loss: 1.1902 - distribution_lambda_28_loss: 0.2723 - val_loss: 1.9132 - val_distribution_lambda_26_loss: 0.4059 - val_distribution_lambda_27_loss: 1.2064 - val_distribution_lambda_28_loss: 0.3009\n",
+ "Epoch 1316/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7593 - distribution_lambda_26_loss: 0.3005 - distribution_lambda_27_loss: 1.1856 - distribution_lambda_28_loss: 0.2732 - val_loss: 1.9098 - val_distribution_lambda_26_loss: 0.4024 - val_distribution_lambda_27_loss: 1.2071 - val_distribution_lambda_28_loss: 0.3003\n",
+ "Epoch 1317/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7509 - distribution_lambda_26_loss: 0.2927 - distribution_lambda_27_loss: 1.1848 - distribution_lambda_28_loss: 0.2734 - val_loss: 1.9070 - val_distribution_lambda_26_loss: 0.4038 - val_distribution_lambda_27_loss: 1.2057 - val_distribution_lambda_28_loss: 0.2976\n",
+ "Epoch 1318/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8030 - distribution_lambda_26_loss: 0.3071 - distribution_lambda_27_loss: 1.2080 - distribution_lambda_28_loss: 0.2879 - val_loss: 1.9074 - val_distribution_lambda_26_loss: 0.4085 - val_distribution_lambda_27_loss: 1.2053 - val_distribution_lambda_28_loss: 0.2935\n",
+ "Epoch 1319/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7527 - distribution_lambda_26_loss: 0.3008 - distribution_lambda_27_loss: 1.1718 - distribution_lambda_28_loss: 0.2801 - val_loss: 1.9071 - val_distribution_lambda_26_loss: 0.4113 - val_distribution_lambda_27_loss: 1.2007 - val_distribution_lambda_28_loss: 0.2951\n",
+ "Epoch 1320/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7857 - distribution_lambda_26_loss: 0.2868 - distribution_lambda_27_loss: 1.2070 - distribution_lambda_28_loss: 0.2919 - val_loss: 1.8909 - val_distribution_lambda_26_loss: 0.4039 - val_distribution_lambda_27_loss: 1.1972 - val_distribution_lambda_28_loss: 0.2898\n",
+ "Epoch 1321/2500\n"
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+ "Epoch 1322/2500\n",
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+ "Epoch 1323/2500\n",
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+ "Epoch 1324/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6882 - distribution_lambda_26_loss: 0.3013 - distribution_lambda_27_loss: 1.1378 - distribution_lambda_28_loss: 0.2491 - val_loss: 1.8814 - val_distribution_lambda_26_loss: 0.3988 - val_distribution_lambda_27_loss: 1.1929 - val_distribution_lambda_28_loss: 0.2897\n",
+ "Epoch 1325/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.7263 - distribution_lambda_26_loss: 0.2829 - distribution_lambda_27_loss: 1.1687 - distribution_lambda_28_loss: 0.2747 - val_loss: 1.8888 - val_distribution_lambda_26_loss: 0.4098 - val_distribution_lambda_27_loss: 1.1874 - val_distribution_lambda_28_loss: 0.2915\n",
+ "Epoch 1326/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6928 - distribution_lambda_26_loss: 0.2911 - distribution_lambda_27_loss: 1.1420 - distribution_lambda_28_loss: 0.2597 - val_loss: 1.8910 - val_distribution_lambda_26_loss: 0.4135 - val_distribution_lambda_27_loss: 1.1847 - val_distribution_lambda_28_loss: 0.2928\n",
+ "Epoch 1327/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7603 - distribution_lambda_26_loss: 0.3096 - distribution_lambda_27_loss: 1.1764 - distribution_lambda_28_loss: 0.2743 - val_loss: 1.9007 - val_distribution_lambda_26_loss: 0.4188 - val_distribution_lambda_27_loss: 1.1892 - val_distribution_lambda_28_loss: 0.2927\n",
+ "Epoch 1328/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7044 - distribution_lambda_26_loss: 0.2860 - distribution_lambda_27_loss: 1.1725 - distribution_lambda_28_loss: 0.2460 - val_loss: 1.8917 - val_distribution_lambda_26_loss: 0.4043 - val_distribution_lambda_27_loss: 1.1961 - val_distribution_lambda_28_loss: 0.2913\n",
+ "Epoch 1329/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7391 - distribution_lambda_26_loss: 0.2969 - distribution_lambda_27_loss: 1.1737 - distribution_lambda_28_loss: 0.2685 - val_loss: 1.8833 - val_distribution_lambda_26_loss: 0.4078 - val_distribution_lambda_27_loss: 1.1861 - val_distribution_lambda_28_loss: 0.2894\n",
+ "Epoch 1330/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7193 - distribution_lambda_26_loss: 0.3038 - distribution_lambda_27_loss: 1.1560 - distribution_lambda_28_loss: 0.2595 - val_loss: 1.8905 - val_distribution_lambda_26_loss: 0.4168 - val_distribution_lambda_27_loss: 1.1863 - val_distribution_lambda_28_loss: 0.2874\n",
+ "Epoch 1331/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7420 - distribution_lambda_26_loss: 0.3019 - distribution_lambda_27_loss: 1.1752 - distribution_lambda_28_loss: 0.2650 - val_loss: 1.8908 - val_distribution_lambda_26_loss: 0.4212 - val_distribution_lambda_27_loss: 1.1831 - val_distribution_lambda_28_loss: 0.2865\n",
+ "Epoch 1332/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6880 - distribution_lambda_26_loss: 0.3063 - distribution_lambda_27_loss: 1.1334 - distribution_lambda_28_loss: 0.2482 - val_loss: 1.8788 - val_distribution_lambda_26_loss: 0.4114 - val_distribution_lambda_27_loss: 1.1807 - val_distribution_lambda_28_loss: 0.2867\n",
+ "Epoch 1333/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7030 - distribution_lambda_26_loss: 0.2976 - distribution_lambda_27_loss: 1.1585 - distribution_lambda_28_loss: 0.2470 - val_loss: 1.8797 - val_distribution_lambda_26_loss: 0.4060 - val_distribution_lambda_27_loss: 1.1841 - val_distribution_lambda_28_loss: 0.2895\n",
+ "Epoch 1334/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7297 - distribution_lambda_26_loss: 0.2992 - distribution_lambda_27_loss: 1.1643 - distribution_lambda_28_loss: 0.2662 - val_loss: 1.8753 - val_distribution_lambda_26_loss: 0.4032 - val_distribution_lambda_27_loss: 1.1816 - val_distribution_lambda_28_loss: 0.2905\n",
+ "Epoch 1335/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6779 - distribution_lambda_26_loss: 0.2750 - distribution_lambda_27_loss: 1.1376 - distribution_lambda_28_loss: 0.2653 - val_loss: 1.8876 - val_distribution_lambda_26_loss: 0.4093 - val_distribution_lambda_27_loss: 1.1846 - val_distribution_lambda_28_loss: 0.2937\n",
+ "Epoch 1336/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6930 - distribution_lambda_26_loss: 0.2826 - distribution_lambda_27_loss: 1.1602 - distribution_lambda_28_loss: 0.2502 - val_loss: 1.8874 - val_distribution_lambda_26_loss: 0.4085 - val_distribution_lambda_27_loss: 1.1848 - val_distribution_lambda_28_loss: 0.2941\n",
+ "Epoch 1337/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7224 - distribution_lambda_26_loss: 0.2971 - distribution_lambda_27_loss: 1.1674 - distribution_lambda_28_loss: 0.2578 - val_loss: 1.8861 - val_distribution_lambda_26_loss: 0.4087 - val_distribution_lambda_27_loss: 1.1837 - val_distribution_lambda_28_loss: 0.2937\n",
+ "Epoch 1338/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6795 - distribution_lambda_26_loss: 0.2654 - distribution_lambda_27_loss: 1.1488 - distribution_lambda_28_loss: 0.2653 - val_loss: 1.8740 - val_distribution_lambda_26_loss: 0.4121 - val_distribution_lambda_27_loss: 1.1764 - val_distribution_lambda_28_loss: 0.2855\n",
+ "Epoch 1339/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6858 - distribution_lambda_26_loss: 0.3082 - distribution_lambda_27_loss: 1.1269 - distribution_lambda_28_loss: 0.2508 - val_loss: 1.8665 - val_distribution_lambda_26_loss: 0.4050 - val_distribution_lambda_27_loss: 1.1732 - val_distribution_lambda_28_loss: 0.2882\n",
+ "Epoch 1340/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7181 - distribution_lambda_26_loss: 0.2896 - distribution_lambda_27_loss: 1.1602 - distribution_lambda_28_loss: 0.2683 - val_loss: 1.8894 - val_distribution_lambda_26_loss: 0.4267 - val_distribution_lambda_27_loss: 1.1757 - val_distribution_lambda_28_loss: 0.2870\n",
+ "Epoch 1341/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6996 - distribution_lambda_26_loss: 0.2896 - distribution_lambda_27_loss: 1.1480 - distribution_lambda_28_loss: 0.2620 - val_loss: 1.8752 - val_distribution_lambda_26_loss: 0.4147 - val_distribution_lambda_27_loss: 1.1733 - val_distribution_lambda_28_loss: 0.2872\n",
+ "Epoch 1342/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6703 - distribution_lambda_26_loss: 0.2861 - distribution_lambda_27_loss: 1.1316 - distribution_lambda_28_loss: 0.2526 - val_loss: 1.8661 - val_distribution_lambda_26_loss: 0.4095 - val_distribution_lambda_27_loss: 1.1678 - val_distribution_lambda_28_loss: 0.2889\n",
+ "Epoch 1343/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7304 - distribution_lambda_26_loss: 0.2944 - distribution_lambda_27_loss: 1.1656 - distribution_lambda_28_loss: 0.2703 - val_loss: 1.8791 - val_distribution_lambda_26_loss: 0.4168 - val_distribution_lambda_27_loss: 1.1684 - val_distribution_lambda_28_loss: 0.2939\n",
+ "Epoch 1344/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7061 - distribution_lambda_26_loss: 0.2921 - distribution_lambda_27_loss: 1.1476 - distribution_lambda_28_loss: 0.2663 - val_loss: 1.8732 - val_distribution_lambda_26_loss: 0.4110 - val_distribution_lambda_27_loss: 1.1676 - val_distribution_lambda_28_loss: 0.2945\n",
+ "Epoch 1345/2500\n"
+ ]
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+ "text": [
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+ "Epoch 1346/2500\n",
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+ "Epoch 1347/2500\n",
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+ "Epoch 1348/2500\n",
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+ "Epoch 1349/2500\n",
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+ "Epoch 1350/2500\n",
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+ "Epoch 1351/2500\n",
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+ "Epoch 1352/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6911 - distribution_lambda_26_loss: 0.2944 - distribution_lambda_27_loss: 1.1415 - distribution_lambda_28_loss: 0.2552 - val_loss: 1.8730 - val_distribution_lambda_26_loss: 0.4169 - val_distribution_lambda_27_loss: 1.1695 - val_distribution_lambda_28_loss: 0.2866\n",
+ "Epoch 1353/2500\n",
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+ "Epoch 1354/2500\n",
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+ "Epoch 1355/2500\n",
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+ "Epoch 1356/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.7081 - distribution_lambda_26_loss: 0.2991 - distribution_lambda_27_loss: 1.1533 - distribution_lambda_28_loss: 0.2558 - val_loss: 1.8717 - val_distribution_lambda_26_loss: 0.4180 - val_distribution_lambda_27_loss: 1.1658 - val_distribution_lambda_28_loss: 0.2879\n",
+ "Epoch 1357/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7436 - distribution_lambda_26_loss: 0.3117 - distribution_lambda_27_loss: 1.1718 - distribution_lambda_28_loss: 0.2601 - val_loss: 1.8588 - val_distribution_lambda_26_loss: 0.4081 - val_distribution_lambda_27_loss: 1.1632 - val_distribution_lambda_28_loss: 0.2875\n",
+ "Epoch 1358/2500\n",
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+ "Epoch 1359/2500\n",
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+ "Epoch 1360/2500\n",
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+ "Epoch 1361/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6469 - distribution_lambda_26_loss: 0.2805 - distribution_lambda_27_loss: 1.1229 - distribution_lambda_28_loss: 0.2434 - val_loss: 1.8590 - val_distribution_lambda_26_loss: 0.4078 - val_distribution_lambda_27_loss: 1.1598 - val_distribution_lambda_28_loss: 0.2914\n",
+ "Epoch 1362/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6649 - distribution_lambda_26_loss: 0.2835 - distribution_lambda_27_loss: 1.1226 - distribution_lambda_28_loss: 0.2588 - val_loss: 1.8527 - val_distribution_lambda_26_loss: 0.4078 - val_distribution_lambda_27_loss: 1.1563 - val_distribution_lambda_28_loss: 0.2885\n",
+ "Epoch 1363/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6892 - distribution_lambda_26_loss: 0.2931 - distribution_lambda_27_loss: 1.1545 - distribution_lambda_28_loss: 0.2417 - val_loss: 1.8517 - val_distribution_lambda_26_loss: 0.4085 - val_distribution_lambda_27_loss: 1.1601 - val_distribution_lambda_28_loss: 0.2831\n",
+ "Epoch 1364/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7399 - distribution_lambda_26_loss: 0.3014 - distribution_lambda_27_loss: 1.1614 - distribution_lambda_28_loss: 0.2771 - val_loss: 1.8532 - val_distribution_lambda_26_loss: 0.4134 - val_distribution_lambda_27_loss: 1.1564 - val_distribution_lambda_28_loss: 0.2834\n",
+ "Epoch 1365/2500\n",
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+ "Epoch 1366/2500\n",
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+ "Epoch 1367/2500\n",
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+ "Epoch 1368/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6750 - distribution_lambda_26_loss: 0.2886 - distribution_lambda_27_loss: 1.1450 - distribution_lambda_28_loss: 0.2413 - val_loss: 1.8332 - val_distribution_lambda_26_loss: 0.4005 - val_distribution_lambda_27_loss: 1.1484 - val_distribution_lambda_28_loss: 0.2843\n",
+ "Epoch 1369/2500\n"
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+ "text": [
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+ "Epoch 1370/2500\n",
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+ "Epoch 1371/2500\n",
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+ "Epoch 1372/2500\n",
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+ "Epoch 1373/2500\n",
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+ "Epoch 1374/2500\n",
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+ "Epoch 1375/2500\n",
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+ "Epoch 1376/2500\n",
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+ "Epoch 1377/2500\n",
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+ "Epoch 1378/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6273 - distribution_lambda_26_loss: 0.2843 - distribution_lambda_27_loss: 1.1052 - distribution_lambda_28_loss: 0.2379 - val_loss: 1.8336 - val_distribution_lambda_26_loss: 0.4095 - val_distribution_lambda_27_loss: 1.1433 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1379/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7017 - distribution_lambda_26_loss: 0.3158 - distribution_lambda_27_loss: 1.1227 - distribution_lambda_28_loss: 0.2631 - val_loss: 1.8504 - val_distribution_lambda_26_loss: 0.4218 - val_distribution_lambda_27_loss: 1.1463 - val_distribution_lambda_28_loss: 0.2824\n",
+ "Epoch 1380/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6385 - distribution_lambda_26_loss: 0.2745 - distribution_lambda_27_loss: 1.1256 - distribution_lambda_28_loss: 0.2383 - val_loss: 1.8604 - val_distribution_lambda_26_loss: 0.4220 - val_distribution_lambda_27_loss: 1.1529 - val_distribution_lambda_28_loss: 0.2854\n",
+ "Epoch 1381/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6608 - distribution_lambda_26_loss: 0.2932 - distribution_lambda_27_loss: 1.1230 - distribution_lambda_28_loss: 0.2446 - val_loss: 1.8469 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.1527 - val_distribution_lambda_28_loss: 0.2870\n",
+ "Epoch 1382/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6833 - distribution_lambda_26_loss: 0.2892 - distribution_lambda_27_loss: 1.1361 - distribution_lambda_28_loss: 0.2581 - val_loss: 1.8174 - val_distribution_lambda_26_loss: 0.3941 - val_distribution_lambda_27_loss: 1.1447 - val_distribution_lambda_28_loss: 0.2786\n",
+ "Epoch 1383/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6375 - distribution_lambda_26_loss: 0.2935 - distribution_lambda_27_loss: 1.1046 - distribution_lambda_28_loss: 0.2394 - val_loss: 1.8205 - val_distribution_lambda_26_loss: 0.4038 - val_distribution_lambda_27_loss: 1.1387 - val_distribution_lambda_28_loss: 0.2780\n",
+ "Epoch 1384/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6447 - distribution_lambda_26_loss: 0.3053 - distribution_lambda_27_loss: 1.0954 - distribution_lambda_28_loss: 0.2439 - val_loss: 1.8237 - val_distribution_lambda_26_loss: 0.4040 - val_distribution_lambda_27_loss: 1.1399 - val_distribution_lambda_28_loss: 0.2797\n",
+ "Epoch 1385/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6827 - distribution_lambda_26_loss: 0.2703 - distribution_lambda_27_loss: 1.1596 - distribution_lambda_28_loss: 0.2528 - val_loss: 1.8384 - val_distribution_lambda_26_loss: 0.4173 - val_distribution_lambda_27_loss: 1.1415 - val_distribution_lambda_28_loss: 0.2797\n",
+ "Epoch 1386/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6205 - distribution_lambda_26_loss: 0.2591 - distribution_lambda_27_loss: 1.1215 - distribution_lambda_28_loss: 0.2399 - val_loss: 1.8379 - val_distribution_lambda_26_loss: 0.4155 - val_distribution_lambda_27_loss: 1.1426 - val_distribution_lambda_28_loss: 0.2797\n",
+ "Epoch 1387/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6431 - distribution_lambda_26_loss: 0.2994 - distribution_lambda_27_loss: 1.1057 - distribution_lambda_28_loss: 0.2380 - val_loss: 1.8228 - val_distribution_lambda_26_loss: 0.4150 - val_distribution_lambda_27_loss: 1.1302 - val_distribution_lambda_28_loss: 0.2776\n",
+ "Epoch 1388/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6701 - distribution_lambda_26_loss: 0.3013 - distribution_lambda_27_loss: 1.1314 - distribution_lambda_28_loss: 0.2373 - val_loss: 1.8056 - val_distribution_lambda_26_loss: 0.4170 - val_distribution_lambda_27_loss: 1.1167 - val_distribution_lambda_28_loss: 0.2719\n",
+ "Epoch 1389/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7022 - distribution_lambda_26_loss: 0.2865 - distribution_lambda_27_loss: 1.1570 - distribution_lambda_28_loss: 0.2587 - val_loss: 1.8050 - val_distribution_lambda_26_loss: 0.4128 - val_distribution_lambda_27_loss: 1.1159 - val_distribution_lambda_28_loss: 0.2763\n",
+ "Epoch 1390/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6258 - distribution_lambda_26_loss: 0.2759 - distribution_lambda_27_loss: 1.1192 - distribution_lambda_28_loss: 0.2307 - val_loss: 1.8014 - val_distribution_lambda_26_loss: 0.4045 - val_distribution_lambda_27_loss: 1.1199 - val_distribution_lambda_28_loss: 0.2770\n",
+ "Epoch 1391/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6405 - distribution_lambda_26_loss: 0.2701 - distribution_lambda_27_loss: 1.1285 - distribution_lambda_28_loss: 0.2420 - val_loss: 1.8139 - val_distribution_lambda_26_loss: 0.4142 - val_distribution_lambda_27_loss: 1.1224 - val_distribution_lambda_28_loss: 0.2773\n",
+ "Epoch 1392/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6785 - distribution_lambda_26_loss: 0.2832 - distribution_lambda_27_loss: 1.1354 - distribution_lambda_28_loss: 0.2598 - val_loss: 1.8181 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.1257 - val_distribution_lambda_28_loss: 0.2823\n",
+ "Epoch 1393/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7182 - distribution_lambda_26_loss: 0.2949 - distribution_lambda_27_loss: 1.1681 - distribution_lambda_28_loss: 0.2552 - val_loss: 1.8283 - val_distribution_lambda_26_loss: 0.4156 - val_distribution_lambda_27_loss: 1.1309 - val_distribution_lambda_28_loss: 0.2819\n",
+ "Epoch 1394/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6057 - distribution_lambda_26_loss: 0.2722 - distribution_lambda_27_loss: 1.1000 - distribution_lambda_28_loss: 0.2335 - val_loss: 1.8231 - val_distribution_lambda_26_loss: 0.4145 - val_distribution_lambda_27_loss: 1.1278 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1395/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6116 - distribution_lambda_26_loss: 0.2559 - distribution_lambda_27_loss: 1.1215 - distribution_lambda_28_loss: 0.2341 - val_loss: 1.8379 - val_distribution_lambda_26_loss: 0.4281 - val_distribution_lambda_27_loss: 1.1273 - val_distribution_lambda_28_loss: 0.2824\n",
+ "Epoch 1396/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6578 - distribution_lambda_26_loss: 0.2818 - distribution_lambda_27_loss: 1.1247 - distribution_lambda_28_loss: 0.2513 - val_loss: 1.8239 - val_distribution_lambda_26_loss: 0.4164 - val_distribution_lambda_27_loss: 1.1272 - val_distribution_lambda_28_loss: 0.2803\n",
+ "Epoch 1397/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6434 - distribution_lambda_26_loss: 0.2845 - distribution_lambda_27_loss: 1.1263 - distribution_lambda_28_loss: 0.2326 - val_loss: 1.8358 - val_distribution_lambda_26_loss: 0.4239 - val_distribution_lambda_27_loss: 1.1302 - val_distribution_lambda_28_loss: 0.2817\n",
+ "Epoch 1398/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6128 - distribution_lambda_26_loss: 0.2814 - distribution_lambda_27_loss: 1.1105 - distribution_lambda_28_loss: 0.2208 - val_loss: 1.8373 - val_distribution_lambda_26_loss: 0.4224 - val_distribution_lambda_27_loss: 1.1340 - val_distribution_lambda_28_loss: 0.2809\n",
+ "Epoch 1399/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6466 - distribution_lambda_26_loss: 0.2861 - distribution_lambda_27_loss: 1.1161 - distribution_lambda_28_loss: 0.2445 - val_loss: 1.8259 - val_distribution_lambda_26_loss: 0.4107 - val_distribution_lambda_27_loss: 1.1350 - val_distribution_lambda_28_loss: 0.2802\n",
+ "Epoch 1400/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6798 - distribution_lambda_26_loss: 0.2879 - distribution_lambda_27_loss: 1.1407 - distribution_lambda_28_loss: 0.2512 - val_loss: 1.8284 - val_distribution_lambda_26_loss: 0.4173 - val_distribution_lambda_27_loss: 1.1303 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1401/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6558 - distribution_lambda_26_loss: 0.2933 - distribution_lambda_27_loss: 1.1224 - distribution_lambda_28_loss: 0.2401 - val_loss: 1.8193 - val_distribution_lambda_26_loss: 0.4098 - val_distribution_lambda_27_loss: 1.1272 - val_distribution_lambda_28_loss: 0.2823\n",
+ "Epoch 1402/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6643 - distribution_lambda_26_loss: 0.2784 - distribution_lambda_27_loss: 1.1327 - distribution_lambda_28_loss: 0.2533 - val_loss: 1.8188 - val_distribution_lambda_26_loss: 0.4128 - val_distribution_lambda_27_loss: 1.1271 - val_distribution_lambda_28_loss: 0.2790\n",
+ "Epoch 1403/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6982 - distribution_lambda_26_loss: 0.2969 - distribution_lambda_27_loss: 1.1417 - distribution_lambda_28_loss: 0.2596 - val_loss: 1.8294 - val_distribution_lambda_26_loss: 0.4177 - val_distribution_lambda_27_loss: 1.1279 - val_distribution_lambda_28_loss: 0.2838\n",
+ "Epoch 1404/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6520 - distribution_lambda_26_loss: 0.2843 - distribution_lambda_27_loss: 1.1253 - distribution_lambda_28_loss: 0.2423 - val_loss: 1.8301 - val_distribution_lambda_26_loss: 0.4235 - val_distribution_lambda_27_loss: 1.1251 - val_distribution_lambda_28_loss: 0.2815\n",
+ "Epoch 1405/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6810 - distribution_lambda_26_loss: 0.3005 - distribution_lambda_27_loss: 1.1295 - distribution_lambda_28_loss: 0.2510 - val_loss: 1.8142 - val_distribution_lambda_26_loss: 0.4112 - val_distribution_lambda_27_loss: 1.1213 - val_distribution_lambda_28_loss: 0.2817\n",
+ "Epoch 1406/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6321 - distribution_lambda_26_loss: 0.2767 - distribution_lambda_27_loss: 1.1065 - distribution_lambda_28_loss: 0.2489 - val_loss: 1.8091 - val_distribution_lambda_26_loss: 0.4108 - val_distribution_lambda_27_loss: 1.1177 - val_distribution_lambda_28_loss: 0.2807\n",
+ "Epoch 1407/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6636 - distribution_lambda_26_loss: 0.2850 - distribution_lambda_27_loss: 1.1221 - distribution_lambda_28_loss: 0.2565 - val_loss: 1.8142 - val_distribution_lambda_26_loss: 0.4112 - val_distribution_lambda_27_loss: 1.1224 - val_distribution_lambda_28_loss: 0.2805\n",
+ "Epoch 1408/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6377 - distribution_lambda_26_loss: 0.2683 - distribution_lambda_27_loss: 1.1275 - distribution_lambda_28_loss: 0.2419 - val_loss: 1.8402 - val_distribution_lambda_26_loss: 0.4245 - val_distribution_lambda_27_loss: 1.1346 - val_distribution_lambda_28_loss: 0.2811\n",
+ "Epoch 1409/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6658 - distribution_lambda_26_loss: 0.2691 - distribution_lambda_27_loss: 1.1491 - distribution_lambda_28_loss: 0.2476 - val_loss: 1.8537 - val_distribution_lambda_26_loss: 0.4351 - val_distribution_lambda_27_loss: 1.1382 - val_distribution_lambda_28_loss: 0.2804\n",
+ "Epoch 1410/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6474 - distribution_lambda_26_loss: 0.2918 - distribution_lambda_27_loss: 1.1075 - distribution_lambda_28_loss: 0.2481 - val_loss: 1.8183 - val_distribution_lambda_26_loss: 0.4050 - val_distribution_lambda_27_loss: 1.1338 - val_distribution_lambda_28_loss: 0.2795\n",
+ "Epoch 1411/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6426 - distribution_lambda_26_loss: 0.2748 - distribution_lambda_27_loss: 1.1227 - distribution_lambda_28_loss: 0.2452 - val_loss: 1.8153 - val_distribution_lambda_26_loss: 0.4023 - val_distribution_lambda_27_loss: 1.1315 - val_distribution_lambda_28_loss: 0.2814\n",
+ "Epoch 1412/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6965 - distribution_lambda_26_loss: 0.2804 - distribution_lambda_27_loss: 1.1505 - distribution_lambda_28_loss: 0.2657 - val_loss: 1.8345 - val_distribution_lambda_26_loss: 0.4169 - val_distribution_lambda_27_loss: 1.1306 - val_distribution_lambda_28_loss: 0.2870\n",
+ "Epoch 1413/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6683 - distribution_lambda_26_loss: 0.2938 - distribution_lambda_27_loss: 1.1290 - distribution_lambda_28_loss: 0.2455 - val_loss: 1.8302 - val_distribution_lambda_26_loss: 0.4211 - val_distribution_lambda_27_loss: 1.1267 - val_distribution_lambda_28_loss: 0.2824\n",
+ "Epoch 1414/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6318 - distribution_lambda_26_loss: 0.2861 - distribution_lambda_27_loss: 1.1085 - distribution_lambda_28_loss: 0.2372 - val_loss: 1.8295 - val_distribution_lambda_26_loss: 0.4248 - val_distribution_lambda_27_loss: 1.1256 - val_distribution_lambda_28_loss: 0.2791\n",
+ "Epoch 1415/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6503 - distribution_lambda_26_loss: 0.2964 - distribution_lambda_27_loss: 1.1161 - distribution_lambda_28_loss: 0.2378 - val_loss: 1.8168 - val_distribution_lambda_26_loss: 0.4143 - val_distribution_lambda_27_loss: 1.1216 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1416/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6750 - distribution_lambda_26_loss: 0.2846 - distribution_lambda_27_loss: 1.1224 - distribution_lambda_28_loss: 0.2680 - val_loss: 1.8054 - val_distribution_lambda_26_loss: 0.4101 - val_distribution_lambda_27_loss: 1.1189 - val_distribution_lambda_28_loss: 0.2763\n",
+ "Epoch 1417/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6381 - distribution_lambda_26_loss: 0.2740 - distribution_lambda_27_loss: 1.1117 - distribution_lambda_28_loss: 0.2524 - val_loss: 1.8139 - val_distribution_lambda_26_loss: 0.4185 - val_distribution_lambda_27_loss: 1.1185 - val_distribution_lambda_28_loss: 0.2769\n",
+ "Epoch 1418/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.5959 - distribution_lambda_26_loss: 0.2659 - distribution_lambda_27_loss: 1.1019 - distribution_lambda_28_loss: 0.2281 - val_loss: 1.8195 - val_distribution_lambda_26_loss: 0.4156 - val_distribution_lambda_27_loss: 1.1225 - val_distribution_lambda_28_loss: 0.2813\n",
+ "Epoch 1419/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6285 - distribution_lambda_26_loss: 0.2839 - distribution_lambda_27_loss: 1.1172 - distribution_lambda_28_loss: 0.2274 - val_loss: 1.8219 - val_distribution_lambda_26_loss: 0.4192 - val_distribution_lambda_27_loss: 1.1207 - val_distribution_lambda_28_loss: 0.2820\n",
+ "Epoch 1420/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.5751 - distribution_lambda_26_loss: 0.2813 - distribution_lambda_27_loss: 1.0689 - distribution_lambda_28_loss: 0.2249 - val_loss: 1.8140 - val_distribution_lambda_26_loss: 0.4139 - val_distribution_lambda_27_loss: 1.1180 - val_distribution_lambda_28_loss: 0.2821\n"
]
}
],
"source": [
- "load_model_gk = True # load scaler and model weights for goalkeeper player predictor\n",
+ "load_model_gk = True# load scaler and model weights for goalkeeper player predictor\n",
"refit_model_gk = True\n",
"\n",
"if(load_model_gk):\n",
@@ -3850,7 +6456,7 @@
" X_gk_test = scaler_gk.transform(X_gk_test_)\n",
" \n",
" \n",
- "n_epochs = 2000\n",
+ "n_epochs = 2500\n",
"\n",
"n_samples = X_gk_train.shape[0]\n",
"\n",
@@ -3863,7 +6469,7 @@
"#tailweight_param = 1.1\n",
"\n",
"tailweight_min = 0.5\n",
- "tailweight_range = 1.5\n",
+ "tailweight_range = 1.1\n",
"\n",
"\n",
"callback = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience = 30)\n",
@@ -3871,9 +6477,9 @@
"\n",
"\n",
"inputs = tfk.layers.Input(shape=(X_gk_len,), name=\"input\")\n",
- "x = tfk.layers.Dense(16, activation=\"sigmoid\") (inputs)\n",
- "x = tfk.layers.Dropout(0.3)(x)\n",
- "x = tfk.layers.Dense(16, activation=\"sigmoid\") (x)\n",
+ "x = tfk.layers.Dense(16, activation=\"relu\") (inputs)\n",
+ "x = tfk.layers.Dropout(0.2)(x)\n",
+ "x = tfk.layers.Dense(16, activation=\"relu\") (x)\n",
"\n",
"\n",
"prob_dist_params = 4\n",
@@ -3887,7 +6493,7 @@
"x1 = tfk.layers.Dense(prob_dist_params, activation=\"linear\")(x1)\n",
"out_1 = tfp.layers.DistributionLambda(prob_dist)(x1)\n",
"\n",
- "x2 = tfk.layers.Dense(8, activation=\"sigmoid\")(x)\n",
+ "x2 = tfk.layers.Dense(16, activation=\"sigmoid\")(x)\n",
"\n",
"x22 = tfk.layers.Dense(prob_dist_params, activation=\"linear\")(x2)\n",
"out_2 = tfp.layers.DistributionLambda(prob_dist)(x22)\n",
@@ -3912,7 +6518,7 @@
},
{
"cell_type": "code",
- "execution_count": 84,
+ "execution_count": 47,
"id": "39a9bdc6",
"metadata": {},
"outputs": [],
@@ -3932,7 +6538,7 @@
},
{
"cell_type": "code",
- "execution_count": 85,
+ "execution_count": 56,
"id": "c41cf448",
"metadata": {},
"outputs": [
@@ -3940,13 +6546,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.3332518280318889\n",
- "0.517152695472664\n"
+ "0.26941154847581295\n",
+ "0.6648856762830053\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -3958,13 +6564,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.26093511091688437\n",
- "0.4031542261319754\n"
+ "0.28428997092873365\n",
+ "0.5972433047845432\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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cmZSWAouIiFRpaRdyeGLODtbGnwVgTPfGvHhnK7w9NWS5MlFgERGRKuuXk+mMnRnHiXMX8fUyM+WettzdoaGry5JroMAiIiJV0rytx3npm1/IybPRKKgGM0ZF0yo8wNVlyTVSYBERkSolO8/K5MW/MvvnBABubxnMO0PbE1jDy8WVyW+hwCIiIlXGqbSLjJsZx84T6ZhM8OQdUTza5wbMZg1ZruwUWEREpEr48WAyj83eTmpmDoF+Xrz/QHtubRHs6rKknCiwiIhIpWYYBjPWHuafsfuwGdA6PIAZo6KJCKrh6tKkHCmwiIhIpZWRlcvTX+0kds8ZAO6PbsjfhrTB18vDxZVJeVNgERGRSin+TAZjv4jjcHIm3h5mJv+uNcO7RGiK/SpKgUVERCqdb3ee4tn5u7iQYyUs0Jfpo6JpH1Hb1WVJBVJgERGRSiPXauP1Zfv4eMMRAHo0q8uHwztQt5aPiyuTiqbAIiIilUJSRhaPfrmdn4+kAjDu1mY81TcKTw9NsV8dKLCIiIjb23o0lfGztpGUkU0tH0/eur8d/duEurosuY4UWERExG0ZhsFnG4/y9yV7ybMZNA+uxYzR0TSrX8vVpcl1psAiIiJu6UJOHi8s2M03O04BcOdNYbx5703U9NFXV3Wk37qIiLido8mZjJ0Zx77EDDzMJp4f0JI/3hKpIcvVmAKLiIi4lZW/nuHJeTvIyMqjXi0fPhrRga5N67q6LHExBRYREXELVpvBeyvj+XDVQQCiG9dh2siOhAT4urgycQdlHgu2bt06Bg0aRHh4OCaTiW+++cZp/UMPPYTJZHK6devW7arHnT9/Pq1atcLHx4dWrVqxcOHCspYmIiKV1LnMHB765GdHWHmoRxNmP9xNYUUcyhxYMjMzadeuHVOnTi12m/79+3P69GnHbenSpSUec9OmTQwbNozRo0ezc+dORo8ezdChQ9m8eXNZyxMRkUpm94l07vpwA+sPJOPrZebdYe2Y/LvWeHtqfhW5zGQYhnHNO5tMLFy4kCFDhjiWPfTQQ6SlpRVqeSnJsGHDsFgsLFu2zLGsf//+1KlTh9mzZ5fqGBaLhcDAQNLT0wkICCj1a4uIiOvM23Kclxb9Qk6ejcZ1azBjVDQ3hun/8OqktN/fFRJf16xZQ3BwMFFRUTz88MMkJSWVuP2mTZvo16+f07KYmBg2btxY7D7Z2dlYLBanm4iIVA7ZeVaeX7CbZ+bvIifPxh03BrP40VsUVqRY5R5YBgwYwKxZs1i1ahVvv/02W7Zs4bbbbiM7O7vYfRITEwkJCXFaFhISQmJiYrH7TJkyhcDAQMctIiKi3N6DiIhUnJNpFxk6YxOzf07AZIKn+0Xx79GdCPTzcnVp4sbKfZTQsGHDHI/btGlDp06daNy4MUuWLOGee+4pdr8rx9YbhlHiePvnn3+eSZMmOZ5bLBaFFhERN7fhQDKPzd7GuQu51K7hxfsPdKB3VH1XlyWVQIUPaw4LC6Nx48YcOHCg2G1CQ0MLtaYkJSUVanUpyMfHBx8fXZ1TRKQyMAyD6WsP8VbsfmwGtGkQwPSR0UQE1XB1aVJJVHgX7JSUFI4fP05YWFix23Tv3p0VK1Y4LVu+fDk9evSo6PJERKSCWbJyeeSLON783h5W7o9uyNdjeyisSJmUuYXl/PnzHDx40PH8yJEj7Nixg6CgIIKCgpg8eTL33nsvYWFhHD16lBdeeIF69epx9913O/Z58MEHadCgAVOmTAHgiSeeoFevXrzxxhsMHjyYRYsWsXLlSjZs2FAOb1FERFwl/kwGY7+I43ByJt4eZv46uDUPdI7QFPtSZmUOLFu3bqVPnz6O5/n9SMaMGcP06dPZvXs3n3/+OWlpaYSFhdGnTx/mzp2Lv7+/Y5+EhATM5suNOz169GDOnDm89NJLvPzyyzRr1oy5c+fStWvX3/LeRETEhRbvPMWzX+/iYq6V8EBfpo+Kpl1EbVeXJZXUb5qHxZ1oHhYREfeQa7UxZek+/vfjEQBuvqEuHzzQgbq11O9QCivt97euJSQiIuUmKSOLR2dt5+ejqQCMv7UZT/VrgYdZp4Dkt1FgERGRcrH1aCrjZ20jKSObWj6evHV/O/q3CXV1WVJFKLCIiMhvYhgGn248yj+W7CXPZhAVUosZo6JpWr+Wq0uTKkSBRURErtmFnDyeX7CbRTtOAXDXTWG8ce9N1PTR14uUL/2LEhGRa3IkOZOxX8Sx/0wGHmYTLwy8kT/c3ERDlqVCKLCIiEiZrfj1DJPm7iAjO496tXyYNrIjXSKDXF2WVGEKLCIiUmpWm8G7K+KZuto+gWinxnX4aGRHQgJ8XVyZVHUKLCIiUirnMnN4fM521h9IBuChHk14YeCNeHtW+FVeRBRYRETk6nafSGfszDhOpl3Ez8uD1+9ty+D2DVxdllQjCiwiIlKiuVsSeHnRHnLybDSpW4MZo6NpGaoZxeX6UmAREZEiZeVambx4D3O2HAfgjhuDeXtoewL9vFxcmVRHCiwiIlLIiXMXGD9rG7tOpGMywVN9oxh/6w2YNcW+uIgCi4iIOFl/4CyPz97OuQu51K7hxQcPdKBXVH1XlyXVnAKLiIgAYLMZTF97iLeX78dmQNsGgUwb2ZGIoBquLk1EgUVERMCSlctT83ay4tczAAzrFMFfB7fG18vDxZWJ2CmwiIhUc/sTM3jki60cTbmAt4eZVwe35oEujVxdlogTBRYRkWps0Y6TPDd/NxdzrTSo7ce0kR1pF1Hb1WWJFKLAIiJSDeVabby2dC+f/HgUgFtuqMcHwzsQVNPbtYWJFEOBRUSkmkmyZDHhy21sOXoOgAl9mjGpbws8NGRZ3JgCi4hINbLlaCrjZ23jbEY2/j6evD20Hf1ah7q6LJGrUmAREakGDMPgkx+P8trSveTZDKJCajFjVDRN69dydWkipaLAIiJSxV3IyeO5+btZvPMUAIPahfPGvW2p4a2vAKk89K9VRKQKO5Kcydgv4th/JgNPs4kXBt7I729ugsmk/ipSuSiwiIhUUcv3JPLUvJ1kZOdR39+Hj0Z0pEtkkKvLErkmCiwiIlWM1Wbwzor9fLT6EACdm9ThoxEdCQ7wdXFlItdOgUVEpApJzczh8dnb2XAwGYDf39yEFwbeiJeH2cWVifw2CiwiIlXEzuNpjJ+1jZNpF/Hz8uD1e9syuH0DV5clUi4UWEREqoA5Pyfwl0V7yLHaaFK3BjNGR9MyNMDVZYmUGwUWEZFKLCvXyiuL9jB363EA7rgxhHeGtSPA18vFlYmULwUWEZFK6sS5C4ybuY3dJ9Mxm+Cpfi0Y17sZZk2xL1WQAouISCW0Lv4sj8/ZTtqFXOrU8OKD4R3o2by+q8sSqTBl7ja+bt06Bg0aRHh4OCaTiW+++caxLjc3l2effZa2bdtSs2ZNwsPDefDBBzl16lSJx/z0008xmUyFbllZWWV+QyIiVZnNZjB11QHGfPIzaRdyualhIN8+dovCilR5ZQ4smZmZtGvXjqlTpxZad+HCBbZt28bLL7/Mtm3bWLBgAfHx8fzud7+76nEDAgI4ffq0083XV3MGiIjkS7+Yy5++iOOt5fEYBjzQOYJ5j3SnYZ0ari5NpMKV+ZTQgAEDGDBgQJHrAgMDWbFihdOyDz/8kC5dupCQkECjRo2KPa7JZCI0VFcMFREpyr5EC2O/iONoygW8Pc28+rvWPNCl+P9TRaqaCu/Dkp6ejslkonbt2iVud/78eRo3bozVaqV9+/b87W9/o0OHDsVun52dTXZ2tuO5xWIpr5JFRNzKoh0neW7+bi7mWmlQ24/pozpyU8Pari5L5Lqq0KkPs7KyeO655xgxYgQBAcXPB9CyZUs+/fRTFi9ezOzZs/H19eXmm2/mwIEDxe4zZcoUAgMDHbeIiIiKeAsiIi6Tk2dj8uI9PDFnBxdzrfRsXo9vH7tFYUWqJZNhGMY172wysXDhQoYMGVJoXW5uLvfffz8JCQmsWbOmxMByJZvNRseOHenVqxcffPBBkdsU1cISERFBenp6mV5LRMQdnbFkMWHWNrYeOwfAo31u4Mm+UXhoyLJUMRaLhcDAwKt+f1fIKaHc3FyGDh3KkSNHWLVqVZkDhNlspnPnziW2sPj4+ODj4/NbSxURcTs/H0llwpfbOJuRjb+PJ+8Ma0/fViGuLkvEpco9sOSHlQMHDrB69Wrq1q1b5mMYhsGOHTto27ZteZcnIuK2DMPgfz8e5bWle7HaDFqE+DNjdDSR9Wq6ujQRlytzYDl//jwHDx50PD9y5Ag7duwgKCiI8PBw7rvvPrZt28Z3332H1WolMTERgKCgILy9vQF48MEHadCgAVOmTAHgr3/9K926daN58+ZYLBY++OADduzYwUcffVQe71FExO1lZufx3ILdfLvTPm/V4PbhTLmnLTW8Nb+nCFxDYNm6dSt9+vRxPJ80aRIAY8aMYfLkySxevBiA9u3bO+23evVqbr31VgASEhIwmy/3901LS+NPf/oTiYmJBAYG0qFDB9atW0eXLl3KWp6ISKVz+Ox5xs6MI/7MeTzNJl6680bG9GiCyaT+KiL5flOnW3dS2k47IiLuJHZPIk/N28n57Dzq+/swbWRHOjcJcnVZIteNSzvdiohIyaw2g7eW72f6mkMAdGkSxNQRHQgO0AzfIkVRYBERuc5SzmfzxJwdbDiYDMAfbo7k+YEt8fKo0KmxRCo1BRYRketo5/E0xs2M41R6Fn5eHrxx3038rl24q8sScXsKLCIi18nsnxN4ZdEecqw2IuvVZMaoaFqE+ru6LJFKQYFFRKSCZeVa+cuiX5i39QQA/VqF8NbQdgT4erm4MpHKQ4FFRKQCHU+9wLhZcfxy0oLZBE/HtGBsr2aYNcW+SJkosIiIVJC18Wd5Ys520i7kUqeGFx8O78gtzeu5uiyRSkmBRUSknNlsBh+tPsg7K+MxDLipYSDTR0XToLafq0sTqbQUWEREylH6xVyemreDlXuTABjepRGvDGqFr5eHiysTqdwUWEREysne0xbGzozjWMoFvD3N/H1wG4Z2jnB1WSJVggKLiEg5+Gb7SZ5bsIusXBsNavsxY1Q0bRsGuroskSpDgUVE5DfIybPx2tK9fLrxKAA9m9fjgwc6UKemt2sLE6liFFhERK7RGUsW42dtI+7YOQAeu+0GJt4RhYeGLIuUOwUWEZFrsPlwChO+3E7y+Wz8fT15d2h77mgV4uqyRKosBRYRkTIwDIOPNxxhyrJ9WG0GLUP9mTEqmib1arq6NJEqTYFFRKSUMrPzeGb+LpbsOg3A4PbhTLmnLTW89V+pSEXTp0xEpBQOnT3P2C/iOJB0Hk+ziZfuvJExPZpgMqm/isj1oMAiInIV3/+SyNNf7eR8dh7B/j5MG9mRTk2CXF2WSLWiwCIiUow8q423V8Qzfc0hALpEBjF1RAeC/X1dXJlI9aPAIiJShJTz2Tw+Zzs/HkwB4P9uieTZAS3x8jC7uDKR6kmBRUTkCjuOpzF+Zhyn0rOo4e3BG/fexKB24a4uS6RaU2AREbnEMAxm/3ycyYv3kGO10bReTWaMjiYqxN/VpYlUewosIiJAVq6Vl7/5ha/iTgDQr1UIbw1tR4Cvl4srExFQYBER4XjqBcbNiuOXkxbMJvhzTEvG9m6qIcsibkSBRUSqtbXxZ3liznbSLuQSVNObD4d34OYb6rm6LBG5ggKLiFRLNpvB1NUHeXdlPIYB7RoGMm1UNA1q+7m6NBEpggKLiFQ76RdzmTR3Bz/sSwJgRNdGvDKoFT6eHi6uTESKo8AiItXK3tMWxs6M41jKBbw9zfx9SBuGdopwdVkichUKLCJSbSzcfoLnF+wmK9dGg9p+/Gt0NG0aBLq6LBEpBQUWEanycvJs/GPJr3y26RgAvaLq8/6w9tSp6e3iykSktBRYRKRKS0zPYvysOLYlpAHw+G038MQdUXiYNWRZpDIp80Ux1q1bx6BBgwgPD8dkMvHNN984rTcMg8mTJxMeHo6fnx+33nore/bsuepx58+fT6tWrfDx8aFVq1YsXLiwrKWJiDj56XAKd324nm0Jafj7evLxmE5M6tdCYUWkEipzYMnMzKRdu3ZMnTq1yPVvvvkm77zzDlOnTmXLli2EhobSt29fMjIyij3mpk2bGDZsGKNHj2bnzp2MHj2aoUOHsnnz5rKWJyKCYRj8d/1hRv53M8nnc2gZ6s+3j97C7TeGuLo0EblGJsMwjGve2WRi4cKFDBkyBLD/JxEeHs7EiRN59tlnAcjOziYkJIQ33niDRx55pMjjDBs2DIvFwrJlyxzL+vfvT506dZg9e3aparFYLAQGBpKenk5AQMC1viURqeQys/N4Zv4uluw6DcCQ9uFMuecm/Lw1ZFnEHZX2+7tcr5N+5MgREhMT6devn2OZj48PvXv3ZuPGjcXut2nTJqd9AGJiYkrcJzs7G4vF4nQTkert0NnzDP7oR5bsOo2n2cSrg1vz7rD2CisiVUC5BpbExEQAQkKcm11DQkIc64rbr6z7TJkyhcDAQMctIkLzKIhUZ9//cprBU3/kYNJ5QgJ8mPtINx7s3kTXAxKpIso1sOS78j8IwzCu+p9GWfd5/vnnSU9Pd9yOHz9+7QWLSKWVZ7UxZdlexs7cxvnsPLpEBvHtY7cQ3TjI1aWJSDkq12HNoaGhgL3FJCwszLE8KSmpUAvKlftd2ZpytX18fHzw8fH5jRWLSGWWfD6bx2dvZ+OhFAD+75ZInh3QEi+PCvlbTERcqFw/1ZGRkYSGhrJixQrHspycHNauXUuPHj2K3a979+5O+wAsX768xH1EpHrbnnCOQR9uYOOhFGp4ezB1RAdeuquVwopIFVXmFpbz589z8OBBx/MjR46wY8cOgoKCaNSoERMnTuS1116jefPmNG/enNdee40aNWowYsQIxz4PPvggDRo0YMqUKQA88cQT9OrVizfeeIPBgwezaNEiVq5cyYYNG8rhLYpIVWIYBl/+nMBfF/9KjtVG03o1+dfoaJqH+Lu6NBGpQGUOLFu3bqVPnz6O55MmTQJgzJgxfPrppzzzzDNcvHiR8ePHc+7cObp27cry5cvx97/8n0lCQgJm8+W/gnr06MGcOXN46aWXePnll2nWrBlz586la9euv+W9iUgVk5Vr5aVvfuHruBMAxLQO4a372+Hv6+XiykSkov2meVjcieZhEanajqdeYOzMOPacsmA2wTP9W/JIr6YaBSRSyZX2+1vXEhIRt7d6fxIT5+wg/WIuQTW9mTq8Az1uqOfqskTkOlJgERG3ZbMZfLjqIO/9EI9hQLuI2kwf2ZHw2n6uLk1ErjMFFhFxS+kXcnly3g5W7UsCYETXRrwyqBU+npq1VqQ6UmAREbfz6ykLY2fGkZB6AR9PM38f0ob7O2k2a5HqTIFFRNzKgm0neGHhbrJybTSs48eMUdG0aRDo6rJExMUUWETELeTk2fjbd7/yxU/HAOgdVZ/3H2hP7RreLq5MRNyBAouIuFxiehbjZsWxPSENgMdvb84TtzfHw6whyyJip8AiIi616VAKj83eRvL5HAJ8PXl3WHtuv7H464iJSPWkwCIiLmEYBv9df4TXv9+H1WZwY1gAM0Z1pHHdmq4uTUTckAKLiFx357PzeObrnSzdbb9K+z0dGvCPu9vi560hyyJSNAUWEbmuDiad55EvtnLobCZeHib+clcrRnVrrCn2RaRECiwict0s232ap7/aSWaOlZAAH6aNjCa6cR1XlyUilYACi4hUuDyrjX/G7udf6w4D0DUyiKkjOlLf38fFlYlIZaHAIiIVKvl8No99uZ1Nh1MA+FOvpjwT0wJPD7OLKxORykSBRUQqzPaEc4yftY3T6VnU9Pbgn/e3Y2DbMFeXJSKVkAKLiJQ7wzCYtTmBv367h1yrQdP6Nfn36GhuCPZ3dWkiUkkpsIhIucrKtfLiwl+Yv+0EAAPahPLmfTfh7+vl4spEpDJTYBGRcpOQcoGxM+P49bQFswme7d+SP/VqqiHLIvKbKbCISLlYvT+JiXN2kH4xl7o1vflweAd63FDP1WWJSBWhwCIiv4nNZvDBqgO8/8MBDAPaR9Rm2siOhNf2c3VpIlKFKLCIyDVLv5DLxLnbWb3/LACjujXi5bta4eOpKfZFpHwpsIjINdlzKp2xM+M4nnoRH08z/7i7LfdFN3R1WSJSRSmwiEiZzY87wQsLd5OdZyMiyI/pI6Np0yDQ1WWJSBWmwCIipZaTZ+Nv3/3KFz8dA+DWFvV5b1h7atfwdnFlIlLVKbCISKmcTr/I+Fnb2J6QhskEj9/WnCdub47ZrCHLIlLxFFhE5Ko2Hkrm8dnbST6fQ4CvJ+8/0IE+LYNdXZaIVCMKLCJSLMMw+Pe6w7zx/T5sBtwYFsC/RkXTqG4NV5cmItWMAouIFOl8dh5//mony35JBOCeDg34x91t8fPWkGURuf4UWESkkINJGTzyRRyHzmbi5WHiL4NaM6prI02xLyIuo8AiIk6W7j7Nn7/aSWaOldAAX6aN6kjHRnVcXZaIVHMKLCICQJ7Vxpux+/n3usMAdGsaxNQRHalXy8fFlYmIgLm8D9ikSRNMJlOh24QJE4rcfs2aNUVuv2/fvvIuTUSKcTYjm1Efb3aElUd6NWXmH7sqrIiI2yj3FpYtW7ZgtVodz3/55Rf69u3L/fffX+J++/fvJyAgwPG8fv365V2aiBRhW8I5xs/cRqIli5reHvzz/nYMbBvm6rJERJyUe2C5Mmi8/vrrNGvWjN69e5e4X3BwMLVr1y7vckSkGIZhMPOnY7z63a/kWg2a1a/Jv0ZHc0Owv6tLExEppNxPCRWUk5PDzJkz+cMf/nDV0QUdOnQgLCyM22+/ndWrV1/12NnZ2VgsFqebiJTOxRwrT321k5cX7SHXajCgTSiLHr1FYUVE3FaFBpZvvvmGtLQ0HnrooWK3CQsL49///jfz589nwYIFtGjRgttvv51169aVeOwpU6YQGBjouEVERJRz9SJVU0LKBe6ZvpEF205iNsELA1sybWRHavmoD76IuC+TYRhGRR08JiYGb29vvv322zLtN2jQIEwmE4sXLy52m+zsbLKzsx3PLRYLERERpKenO/WFEZHLVu9L4ok527Fk5VG3pjcfjuhAj2b1XF2WiFRjFouFwMDAq35/V9ifVMeOHWPlypUsWLCgzPt269aNmTNnlriNj48PPj4awSBSGjabwfs/HOD9Hw4A0KFRbaaN7EhYoJ+LKxMRKZ0KCyyffPIJwcHB3HnnnWXed/v27YSFaZSCSHlIu5DDxLk7WLP/LACjuzXmpbtuxMdTU+yLSOVRIYHFZrPxySefMGbMGDw9nV/i+eef5+TJk3z++ecAvPfeezRp0oTWrVs7OunOnz+f+fPnV0RpItXKLyfTGTcrjuOpF/HxNPPa3W25N7qhq8sSESmzCgksK1euJCEhgT/84Q+F1p0+fZqEhATH85ycHJ5++mlOnjyJn58frVu3ZsmSJQwcOLAiShOpNr6OO8GLC3eTnWcjIsiPGaOiaR0e6OqyRESuSYV2ur2eSttpR6Sqy86z8rfvfmXmT/Y/DPq0qM97wzoQWMPLxZWJiBTm8k63InL9nU6/yLiZ29hxPA2TCZ64vTmP39Ycs1lXWRaRyk2BRaSK2HgwmcdmbyclM4cAX0/ef6ADfVoGu7osEZFyocAiUskZhsG/1x3mje/3YTOgVVgAM0ZF06huDVeXJiJSbhRYRCqxjKxc/vzVLr7fkwhA3xv8uSs0g+zUk1C3uYurExEpPxU6Nb+IVJyDSRkM+ehHvt+TiKfZRMiJ1fz34d4MGXQnUVFR9B/Yn3Pnzrm6TBGRcqHAIlIJLdl1mt9N/ZFDZzMJDfClwf65xH3zHtwDPAncAyvXrWT4yOEurlREpHzolJBIJZJntfHG9/v4z/ojAHRvWpeJXQPo9uLn9rBy06UNbwKrYSV2YSwHDhygeXOdHhKRyk0tLCIuEh8fz7Jlyzhw4ECptj+bkc3I/252hJVHejfliz92IfXUMfsGjYFk4ACQAjSxLz548GA5Vy4icv2phUXkOktNTWXEqBHELot1LIsZEMPsWbOpU6dOkfvEHTvH+FlxnLFkU9Pbg7fub8eAtvbrbTVr1sy+0WwgscBOIfa7G264oQLehYjI9aWZbkXKUXx8PIcOHeKGG24o9jRMz9492bBhA9gKLDRDz549WbdmndO2hmEw/p3ZfJ9UC8PkwQ3BtZgxKpobgms5bRdUL4hzaefAWmChB9SpXYfU5NRyenciIuWvtN/fOiUkUg5SU1O5c2B/WrRowcCBA4mKiuLOIkbpxMfHs2H9BvDCqYMsXrB+3Xqn00MbN28ldPCfWXY2EMPkQea+9Wx6ZRDnTx0sdMxzqeeKPOa51HPFnnKKjY3l1VdfZcWKFeX3gxARqSAKLCLlYNBdA4mNjXVaFhsby6C7nC/iOW/ePDCAO4FwIAloAAwEjEvrgWMpmdz3r5/wa9UHw2YlddXHJC96g+wLGXTo0MHpmGvXrrUfcyD2TreBl+4H2I+5du1ap+0PHTpE/eB69O/fn1deeYV+/fpRP7geR44cKaefhohI+VNgkWqprB1er3asjZs2c+XVekzAjxt/cnqNWbNm2R9sB6YCs4APgR32xV9++SU/7D1Dv7dX4R0ciTXzHGfmvETGloUAWC+dwP30008LF9L4iudNiq63c5dOJFtSnFpjki0pRHfqWJq3KyLiEgosUq2kpqbS/4pTN791grVp06ZhNoHHFZ8mDzOYTfb1+fbt22d/kHDFQRIAk5mTQe3542dbybaZyT65j9OzJ5Ldeffl0zzegAl+//vfO3Z955137A+OXXHMo/a7d99917EoNjaWc6lp9haegq0xA+FcappOD4mI21JgkWrl/qH3s3z1cqfWheWrl3Pf0PuK3edqrTFz5swBoIYPzBwPCR/Y72v4OK93MFGov4m5Vi2C7/sLtW8eAYAl7jsSv3wOa++UQsGCK7rJ79u3z37MJcBOIP3S/VL7a/3666+ObR0tPMW0xsycObPYn4OIiCspsEi1ER8fz6ofVmEMNJxCgDHAYNXKVYUCSWlbY9LS0rAZ8OEY6NwUfjkOXZrBBw+CzaBw680V/U282jQl7I/v4de0E7bcLN4Z2o5zK2eALa/Up3kwgDxgIfDupfs8CoUbx6DAYlpjRETclQKLVBuOzqfFhIArO6eOGDWCletWXnW6+/r16wPwnzXQ4mkY+E+Iegr+e+lwwcHBhYu5VEPNvNsJzf4nnl6h5J47TeIXf+aejg0vb1eKYOHn52d/MBgYBdwKjAZ+Z19co8blqzaPGjUKTGBehlNrjPl7wHRpvYiIG1JgkeqnFCEgPj6e2GWxWGOsTq0x1n5WYpfFOrXGTJ48GUyw/ghO4Wb9EcAEr776auEXSPAkKGcC9XKfxIwPF87/TOJnE8k9ax+pM2TIkBJP89x7772OQ/3pT3+yP9gOzATWAF/g6Mj7yCOPOLaNiYmhXp3amHNwao0x50C9OrXp27dviT86ERFXUWCRaqN37972ELAU5xCwDDBdWn/JoUOH7A+KaY0pON19z549wQDbAJyGKtv6AwbcfPPNjm2HDBmCR0A9Qmu9gb91AIZhIy15Jmf/+zdsOZmOIDJw4ED76Zw6OJ/mqW0/Zv/+/R3HHD9+vP19ncZ5HpbT9vc1btw4p7ewfOUqzJ5eTsvMnl6s+GH11X6EIiIuo6n5pdqIioritttvY9WaVfYv/3yecNvttznNTOuY7v4Yly8oCI7WmILT3TtOJW0HFhTYNvLy+vxjbz2eQdiY9/GoEYj1YgbJ371F1uE4+zT6Z+Dnn38GYM+ePfadLVe8iQz7XcGOtIBzvxgu3Rs4v89Lnn/xeayeNvtIocb292iNtfHcC8/x/dLvC+8gIuIG1MIi1crX874mpm+M07KYvjF8Pe9rp2VRUVHEDIjBI9bDqTXGY7kHMQNinMLN0qVLS2zhWLp0KYZhMGPtIcy3PY5HjUCybQdJZCJZ3ePgMcA+OIjk5GQAfvnlF/sxrVcc02o/5q5duxyvX5bWoLKc6hIRcSdqYRG3V5rr85RWnTp1+H7p9xw4cICDBw+WeMzZs2YzfORwYhdensH2jgF3MHvWbKftduzYUWILx449+xk7M47YPWcwmT04v3sFqX7TMdrmQNCl7Xfa72rWrAnA4cOHL8+IW8QxC85KW5bWoNKEm9/6MxYRqQgKLOK2ruWqxqXVvHnzq34xHz58mFWrVjktW7VqFceOHXN6/by8PPuDIkKAV90IrLc/ReyeM3h5mLiw4TNS1s+zTwBns2/DURydaT097R/J3NzcYo/ptD5fft8co8AxL/XNKags4UZExJ3olJC4rdIOK64o3Xp0I5dcp9fPJZfOXTs7bZffKnLl6KMaybcQ+uA7mAJCCAv0Zd4j3bHuv3TdHxPOnWkBjMvzpERERBR5zPxg0bDh5aHPhw4dsh8z7IpjhtmPWfCUUFlOdYmIuBMFFnFLFd3X4mqz13788cfk5eQVOYV9Xk6e07V8WrZsecXoIzN1Tv6R+uHPYfb2o1bmSb597BY6NKpDmzZt7NuagB5A90v3ZvuyNm3aAJdGCZUwrPnOO+90vL6j1eTiFW/igv3uylaT2bNmc0evO5zCzR29Cp/qEhFxJwos4pbK0pG0LEo7e+2XX35Z4usXnMJ+3Lhx9haOXDAvr01I4j8ICLobgPSfvuKtu5pQr5Z9nv7hw4fbtw0ENgKbLt0HAMbliduGDh3qOKZTq0mufbuhQ4c6Xj8qKoq69evCOZw76KZB3fp1C7Wa5PfjiY+PZ+nSpcTHx/P90u9/82k2EZGKpMAibsmpr0VBR+13xfW1uFrLSWlPM506darE13esByIj7eOXfYa1JGz8+/g2aovNuEDSqX+QtvYzmjWNdGxrs9nsLSfpQF9gyKV7C2C63B8mKiqKnr17Fvkeevbu6RRC4uPjSTmbUmRrUMrZlGJ/Fs2bN2fAgAE6DSQilYICi7ilsva1KE3LSVlOMxmGYQ8WV0xhz6Up7G02m2PbgwcP4t/xLkIavo6nuS45pgRO+07iYr1NjvVO8ltYVgDfXLq/1MJS0KKFi4iJuWIIdkwMixYuclpWUa1RIiLuRIFF3FZZ+lqUpuWkLF/sXbt2vRwsCp6SuRQsunfvDsDFHCvzT9YiqO9YTCZPMj3Wk+gziTzziSJbgxyz6Z69oobkK9ZT4EKFV3GtrVEiIpWJySjt/4puzmKxEBgYSHp6OgEBAa4uR8rR1eZMiY+Pp0WLFvawUnCo7k5goX198+bNnbcLx97nIwg44byd0zFNOLd8XHoeHx+PV51wxs6MY19iBobNyrn1n5BR6xuoBWQC6yDIP8h+uqZgrS1b2Ic1F5hpliVADsTvv1xD/4H9Wblupb1F6NJ2HrEe3NHrjkIz0jq27Wd1DGv2WF70tiIi7qS039+ah0Xc3tXmTCntZGhRUVH07NWT9YvW22eMzedRuF/IkSNH7OHEG+gF1MQ+6mYtkAOLth7ms/2HycjKo7avB/v+9xzZJ3+xz62SzwypyakcOHDAcey1a9eWOCFc/jT++aevnELYTWA1rMQujHU6JpR+kjsRkcqq3E8JTZ48GZPJ5HQLDQ0tcZ+1a9cSHR2Nr68vTZs2ZcaMGeVdllRhZTklsvuX3faYXnA0jSfs3r3baddp06Zdvvhgfl+T5UAdM4E3j2TqzjwysvLo2Kg2o0NOkn3iF3u4ye9I2w/7c1OBaw0BZ86csT8oJlzlry9rvxSN/BGRqq5CWlhat27NypUrHc89PDyK3fbIkSMMHDiQhx9+mJkzZ/Ljjz8yfvx46tev77hyrUhJoqKi8PLxIndJrv36PWBvHYkDLx8vR0tEbGwsaalphVotMCBtYRorVqygb9++wKUAYwLSsG/fGMzH/ann8TR+TaIBGNO9MS/e2Yo3X19tDze1sYebfJcuaOgIKUBISIj9wTHADzgJRADnnddf64y0pZnBV0SkMqqQwOLp6XnVVpV8M2bMoFGjRrz33nsA3HjjjWzdupW33npLgUVKJTY2ltzsXHt74aYCK8yQa8t1BJElS5bYlxfTavHdd985AovFYnG6PpC3rRn1b3geTyMUW24WOT9+xl9fXwwUCCHFdKR1rKdAp9pvKHT6qOD6/FFSK2NXYjWu6Jcy4A6FEhGpdipklNCBAwcIDw8nMjKSBx54wH4ht2Js2rSJfv36OS2LiYlh69atha+XUkB2djYWi8XpJtXT5s2b7a0hXjif6vECTPZ/YwDBwcH2HY5hDxMHgBQcrRaO9YCfn5/9QWOomXYHoVn/xNMIJdc4TeIXf8b71A7HtmazucTXz78+ENiDCOZitjVTqF+KZqQVEbEr98DStWtXPv/8c2JjY/nPf/5DYmIiPXr0ICUlpcjtExMTnf4CBftfpHl5eSQnJxf7OlOmTCEwMNBxc1x7Raqcq00Gd+7cOeeOrAUmTsPAEWYds8MuAqYCs4APAXtDidPssZ06dQIPT4KOTKCez0RMJm8uHPyZxNkTyT17hM6dL19PaM2aNc5Xa85//QH211+9erVj248//tjeslJUrTacpvxXvxQRkcvKPbAMGDCAe++9l7Zt23LHHXc4muE/++yzYvcxmZwvKZs/0vrK5QU9//zzpKenO27Hjx8vh+rFnZR2Gv2rdVB1Cjomiux0e+VVjVt06EboyDfxbzEAw7CRdvYLzmb8DVtSJpigY8eOjm1Pnz5d4usXnBW3LFP+59OMtCIi12HiuJo1a9K2bdti/zoODQ0lMTHRaVlSUhKenp7UrVu32OP6+PgQEBDgdJOqxTEZXIGRN0VNo+/o1F3MKKH89fPmzSuxJWbevHkA/HgwmblpkfiERWHNziDpq8mk/28uLDfsHWsNWLBgQeGCi3n9gi5evFjithcuXCi8k4iIVPw8LNnZ2ezdu5eePYu+Lkr37t359ttvnZYtX76cTp064eXlVdHliZtyzEMSitPIG2vI5Wn081scHNPoL8EeSJpgDwCXrmyc32IXHx9vP0gxrRv74+OZtuYgb8Xux/CuSXbiQZK/nUJe6uVRPvkdaffv3+9YFBYWVuLrh4eHO7atX79+idteeXpURETsyj2wPP300wwaNIhGjRqRlJTE3//+dywWC2PGjAHsp3JOnjzJ559/DsDYsWOZOnUqkyZN4uGHH2bTpk18/PHHzJ6tjoWVTXx8PIcOHSp2RtqCYmNj2bx5M927d3eMzCno0KFDly8SeGlYMcewX9vHdHkyOLC3yGEAedg7qObzAIzLw4qDgoLsy4sYKmzy9uNA8K2s+94eRLL3ruHM0g8wjJwi6y84VL9evXrOV1bOZ7a/fv369R2LOnfuzOLFi+21Fdy2hn3bTp06Ffl6IiLVXbkHlhMnTjB8+HCSk5OpX78+3bp146effqJxY/uftadPnyYhIcGxfWRkJEuXLuXJJ5/ko48+Ijw8nA8++EBDmiuR1NRURowaYW8RuSRmQAyzZ80u1EH00KFDdO3e1Wm6+rr167Jl8xbHVY/h0sgbA3vH1XAgCWgA9AcWOo+8cVyIcPClbVJxmnLf6eoTJuytGQVaN7w2N6L+mBc47RGMt4eZyb9rzRMfP4RhzQGfS8fND0xLARt4e3s7DllS53Bwnodl6NChvPzyy/b3YQUOA02xh5uFzh1/RUTksnIPLHPmzClxfcFREPl69+7Ntm3byrsUuU6cLjx46Yt9Zay9r8mV17Hp1KUTaZlpTtumLEmhY6eOnEu53JnWEUK2AwW7i1zKNHl5eY5FZvOlrliNsfdLye/6dOlfd35ryJEjRwq1hNRo2ZO6wx7H7O2HV+555k2IoX1EbZ4A55E/4DSFfkG33nqrvbOsN5BVYIUXkA2333574R/aIi5fHmA39hYXEREplq7WXE1dbahwWY4TuyzWfoG+Ah1Zrf0u9zXJ55hp9k7ss7xux36NnoGQlmqfaTZfs2bN7K0hp3Ee0XMaMDnP9OoIN8V0ZM0PN5mZmfYFjQCzB3Vu+z/qD34Ws7cfF4/uoOGembSPqA1wucN3Mf1dCp7m+eMf/4iXj5c9zPQAul+6xz7T7kMPPeTYdu3atSWOVCo4jb+IiFymwFLNlHaocGk5DSkuOBlbE/vigte8mTVrlv3B99jnQFkDfAFcOpNUcEivozWkmLlNjh496th20KBBlzuy7sTe72Unjo6sQ4YMAS51jgXMnWoTMukfBHS2L09P/YqkeX+hUUiQ45hdu3a1PygmBHXp0sVp8c8//YwXXrAR+2y7G8ELL37+6Wen7c6cOVPiSKWCp49EROQyXa25mrl/6P2s/nG10ymZ5UuXc9/Q+/hhxQ9lPp7jmjezgYKj0y8NdinYEmKxWOzBwopzR9olgAmn2Yo3b95sf1BMC8emTZscnXXvv/9+XnrppWI73eb3h2rZsiU+DW+kXvBzeHrUxWa9QPLRd7n4nX0m3BtvvNH5tUoYzXOl9u3bk5OVw6effsoPP/zA7bff7tSyks/R36WY91XcBIsiItWdAks1Eh8fz6ofVhW6+J9hGKxauMppqHBpOS48eC63UAgpeOFBgMDAQOfWhUuvn98vJDAw0LGtUwtHERf/6969u2NR/vwpxXW6nTdvHi+88AKbUnwIeWAKJg9PcpKPcXbha+SlnnSM0HFMAEeB2XOLGc1TXIvUQw89VGRQyed0+qqI92W1WhERkcJ0SqgacfSPKOav+2vpP+G48GARpzhys3Od+qU4RusU8/oFR/NERkZebuHYAOwAfsTRwtGkSRPHtmvWrLl83LpA80v3lzb5Ye16npy7g1+8b8Tk4Unm/nUkpj1F3piT9pBltR/T0XkXGDx4sP31bUA/HBPXYbNve/fdd5fp55TvzjvvvDxSqeDpq0vDte+6665rOq6ISFWnFpbqqJi/7q9FWU7dREVFlfj6jvVcCk/5c6usLLDtpdM8a9eudbTenD9//vJxw4FzOFpYPGuHkRA1lMM7TmHCIOWH/5DRaDG0vXS8Ai089erVc34PV44SAnsn4StGCZVFTEwMdYLqcC7tXKHTV3WC6hQ5J42IiKiFpVrp3bt3iX/d9+7du8zHvFrn1IKnboYOHVpiq0nBOUjOnDlT4miagp1TW7RoYX9wxUUN/X7pQtiYd8mrFUK9Wj7clLKajK2Liw1XBTsIO7XaFLHtDz+Uvb9PvrgtcdQNcr7sRN2gusRtibvmY4qIVHVqYalGoqKiuO3221i1ZpXzX/eecNvtt13TxfViYmKoW78uKUtSCnVOrVu/buEWg/x5UAq2mlyaEbag5OTkEvu7FJysrXnz5pfDzWCgsZnAjBHUrvsAACHm8yx+/HZG3D3FvkMxLTwFJzR0zK1SzLZFzq1SSpGRkSQnJbNixQo2bdpU7Gy/IiJymVpYqpmv531NTN8Yp2UxfWP4et7X13zMLZu3UDegrj0EvQsshLoB9tlrC3JMt++Fc6uJF47p9vOlpqbaHxTTwuFYj3O4Mbf1J9h3siOsWLYuptvFzYQE+NK2bVv76y/DuYXpe/vrt2vXznHMhg0bltga1aBBg2v5UTnp27cvf/nLXxRWRERKQS0s1UydOnX4fun3HDhwgIMHD5bquj9XU9oWg1OnTpXYalLwNE9Z+rvkj7zxbtKM+tkv4GmEYCOL1LypZP6wBlo/DsD48eN5//337R2DC7YwhQAXYdy4cY5FS5YssdcVdsW2kcAR+O677xQ0RESuIwWWaqp58+a/OahcqW/fviV+iZ88edL+oJhWk4KnZIYOHcrLf3m50HV/8ls4CvZ3adeuHTXb9qWuxzhMhje5plOc9X6N3PijAHTo0AGwh5zuN3dn09ZN0Bd7B9pMYB10v7m7088jODjY/qADcBfOQ6WPFFgvIiLXhU4JyXVTlg66UVFR9OzV8/J1fy6daiIXevbq6QgXWblWVp8Ppd7AJzCZvblwfjOns58kd/dRR2fekJAQx3GXfLuEmNtiYAXwDbACYm6LYcm3S5xKcuogfAIIvnRfRAdhERGpeCbD6VK2lZfFYiEwMJD09HQCAgJcXY4Uw9vXm1xy7cOFm+DooOuFFzlZOU7bnjt3juEjhxd7FeiTaRcZNzOOXSfSMQwbadtnYlnxFY4evCHAGfjkk08KTeZWmlNivW7txfr16+1zr+QzQ8+ePVm3Zt1v+jmIiIhdab+/dUqoComPj+fQoUPl0i+lIsTHx9snmfPFuV+Ij32SuStn2i2pv82GA8k8Nnsb5y7k4kMeCV+9StaQbdCSy6dvPIF3nU815SvNKbFFCxcVDkwx9sAkIiLXlwJLFZCamsqIUSOKbYlwF44LJY7DfqHE40AEUA941z5KqKgQUTBcGIbB9LWHeCt2PzYD2jQIYHhEJqPe2Ha5g27+FCc77XcFTzWVRUV0UBYRkWujwFIFjBg1gpXrVjpdy2dl7EqGjxzO90u/d3V5Do4LJeYHi0tP84NFwQslFsWSlcvT83ay/Ff7aKKhnRry6uA2JBw5VOKFCgtO438tKqKDsoiIlI0CSyUXHx9vb1m54oKGVsNK7MLYa7qgYUWJiooiZkAMK2NXYrVYoRaQCR4bPbhjwB0l1rk/MYOxM+M4kpyJt4eZvw5uzfAujYBLLTclXKiwuJYbERGpPBRYKjnHaZYSppt3py/raVOn0aVbF1JWpjiW1a5fm+kfTS92n8U7T/Hs17u4mGslPNCX6aOiaRdR27He0XLTH/tQ5fxTTeeBhVdvuREREfenYc2VnNNploKO2u+K+7KOjY3l1Vdfdbqa8vUw/tHxpF1Ic5rpNu1CGuMmjCu0ba7Vxqvf/srjs7dzMdfKzTfU5dvHbnEKK3C55cYj1sMeUjoA58FjuQcxA2LcKrCJiMi10bDmKqD/wP6sXLcSaz+ro/+Gx3IP7uh1R6E+LIcOHaJr966knL3cwlG3vn0a/cjIyAqtMz4+3n6hwoKnr8Deh2WhfX1+uEjKyOLRWdv5+ah9Cv7xtzbjqX4t8DCbijz21YZAi4iIe9Kw5mpk9qzZ9i/rhZe/rO8YcEeRw2+7dOtCakbq5ZleL0DK2hQ6denkFGIqQmlPX205msqEWdtIysjG38eTt4a2I6Z1aInHriK5W0REiqEWlirkasNvY2Nj6d+/P4QCiQVWXJpgbfny5RV6fZyrtbDs37+fH8968Y8le8mzGUSF1GLGqGjyzp266vwyjlamGKtjpJRHbNGtTCIi4j7UwlINXW347ZIlS+zDf9NxGgKdf32eir6gn9MoIcP59NVtA/vz0bZMFu04BcBdN4Xx3G0R/N+Y+656mqcyjZQSEZFro0631YjZbLYP/x2A/Ys98NJ9f8C4tL6CzZ41mzt63eF0faBed9yLrc9TLNpxCg+ziZfvasWHwzvwf38YfXl+mUsddFeus88vU1BpTjWJiEjlphaWaqR169b2B8V8sTvWV6ArZ49N8grlrfVJZCRfoF4tH6aN7EiXyKAytZo4gtYxnE81HbXfeXrqn7mISGWnFpZqpHfv3vYHxQyBdqy/Dpo2u4E95qa8svIUGdl5dGpchyWP30KXyCCgbK0mNpvNfqprGfb+MOmX7r8HTJCXl1eRb0VERK4D/elZjURFRdGzd0/WL1lfaAr7Xr17Xbd+HqmZOTwxZzvrDyQD8FCPJrx45414eVzOz4Wm8c931H5XcH6ZZs2a2d9PIM4z3YYAFzVxnIhIVaDAUs14eXmBFecvdk/w9Lo+/xR2nUhj3MxtnEy7iJ+XB6/f25bB7RsU2i4qKoq69euSsiSlULiqW7+uU7hydOZdtxJrX6t9uHYpp/wXEZHKQcOaqxGnYcUNgFQgCDhBoYnbKsLcLQm8vGgPOXk2mtStwYzR0bQMLfp35ai1mCHYV9aqieNERConDWuWQpz6hQQCdS+tuPSvoKKuO5SVa2Xy4j3M2XIcgDtuDObtoe0J9PO6eq3DgTwuhytP4N3CtV7ZmbekOVtERKTyUWCpRsrSL6S8nDh3gfGztrHrRDomEzzdrwXjejfDXMwU+8XWmh+udpZc69XmohERkcqp3EcJTZkyhc6dO+Pv709wcDBDhgxh//79Je6zZs0aTCZTodu+ffvKu7xqzekigQVG01TURQLXHzjLoA83sOtEOnVqePHZ77swoc8NVw0rrqhVRETcW7m3sKxdu5YJEybQuXNn8vLyePHFF+nXrx+//vorNWvWLHHf/fv3O52/ql+/fnmXV+2V5bpD18pmM5i+9hBvLd+PYUDbBoFMH9WRhnVquF2tIiJSOVR4p9uzZ88SHBzM2rVr6dWrV5HbrFmzhj59+nDu3Dlq1659Ta+jTrdlUxF9PeLj4/ll/0G+Pl6DjQmZAAzrFMFfB7fG18vDrWoVERH34DadbtPT0wEICgq66rYdOnQgKyuLVq1a8dJLL9GnT59it83OziY7O9vx3GKx/PZiq5Hy7OuRmprKiFEjWLVlH/XvfhGvoHBMNisvDYzij7e2/M3HV78UERGp0JluDcNg0qRJ3HLLLbRp06bY7cLCwvj3v//N/PnzWbBgAS1atOD2229n3bp1xe4zZcoUAgMDHbeIiIiKeAvExsby6quvsmLFigo5flUwYtQIfjydTejv38YrKJy83CQSv36Gr96c6OrSRESkiqjQU0ITJkxgyZIlbNiwgYYNG5Zp30GDBmEymVi8eHGR64tqYYmIiCi3U0KHDh2ia/eupJxNcSyrW78uWzZvITIy8jcfv6r4dd9+bnn0bQI6DQbgonkbyd5vYdtluS5zu4iISOVW2lNCFdbC8thjj7F48WJWr15d5rAC0K1bNw4cOFDseh8fHwICApxu5alr966kWFKcrhScYkmhc9fO5fo6lUF8fDzLli0r9PtIsmTx2IKDjrCS7jmXJO/J2EwWXSlZRETKVbkHFsMwePTRR1mwYAGrVq265taI7du3ExYWVs7VlU5sbKy9ZeVO7HOABF66HwgpZ1Oqzemh1NRU+g/sT4sWLRg4cCBRUVH0H9ifc+fO8fORVO78cAOHLGDLziTp1N9I8/oCTDb7zkftd7qOj4iIlIdy73Q7YcIEvvzySxYtWoS/vz+JifZ51QMDA/Hz8wPg+eef5+TJk3z++ecAvPfeezRp0oTWrVuTk5PDzJkzmT9/PvPnzy/v8kpl8+bN9gfFXCl406ZN9O3b93qW5BIjRo1g5bqV9lamxsAxWBm7kpjHXyc1ojd5NoOokFrkrf2CUyu3Qj8c1/zxWK7r+IiISPkp98Ayffp0AG699Van5Z988gkPPfQQAKdPnyYhIcGxLicnh6effpqTJ0/i5+dH69atWbJkCQMHDizv8kqla9eu9gfFzAjbvXv361zR9RcfH2+/Ls89OH4GprY+1Al5jKSAXmAzGNQunDfubUv2QzcxfGSa5ksREZEKo4sfFqNecD17H5aBOF8pOKAuyUnJv/n47m7ZsmX2wPgkEAietnDq57yAt9EEw5rH0Cgv3vy/AZhMl2et1XwpIiJSVm4zD0tltWXzFjp37UzKwsKjhKqDgtfy8WvdlXo5kzBTk7y8VJLnvM6fVn/jFFZA86WIiEjFUWApRmRkJMlJyaxYsYJNmzbRvXv3atFvJV9UVBT9BvRnS3oIATn3A5B1YQ+pc/7JbZ2iFUxEROS6UmC5ir59+1aroJIvNTOH2oNeJOCYfaZiy9ZFnFv9P2Ji1DdFRESuPwUWKWTn8TTGz9rGybSL+Hl5MPHm+jTqfTc3TP+zWlZERMQlFFjEyZyfE/jLoj3kWG1E1qvJjFHRtAj1d3VZIiJSzSmwCABZuVZeWbSHuVuPA9C3VQhvD21HgK+XiysTERFRYBHgeOoFxs/axu6T6ZhN8FS/Fozr3Qyz2XT1nUVERK4DBZZqbl38WR6fs520C7nUqeHFB8M70LN5fVeXJSIi4kSBpZqy2QymrTnI2yviMQy4qWEg00Z2pGGdGq4uTUREpBAFlmoo/WIuT83bycq9ZwAY3iWCVwa1xtfLw8WViYiIFE2BpZrZl2hh7BdxHE25gLenmb8Nbs2wzo1cXZaIiEiJFFiqkUU7TvLs/F1k5dpoUNuP6aM6clPD2q4uS0RE5KoUWKqBnDwbry3dy6cbjwLQs3k93n+gA0E1vV1bmIiISCkpsFRxZyxZTJi1ja3HzgHwaJ8beLJvFB4asiwiIpWIAksV9vORVCZ8uY2zGdn4+3jyzrD29G0V4uqyREREykyBpQoyDIP//XiU15buxWozaBHiz4zR0UTWq+nq0kRERK6JAksVk5mdx7Pzd/HdrtMADG4fzpR72lLDW79qERGpvPQtVoUcPnuesTPjiD9zHk+ziZfuvJExPZpgMqm/ioiIVG4KLFVE7J5Enpq3k/PZedT392HayI50bhLk6rJERETKhQJLJWe1Gby1fD/T1xwCoEuTIKaO6EBwgK+LKxMRESk/CiyVWMr5bJ6Ys4MNB5MB+OMtkTw3oCVeHmYXVyYiIlK+FFgqqR3H0xg/M45T6Vn4eXnwxn038bt24a4uS0REpEIosFQyhmEw++fjTF68hxyrjch6NfnX6GiiQvxdXZqIiEiFUWCpRLJyrfxl0S/M23oCgH6tQnhraDsCfL1cXJmIiEjFUmCpJI6nXmDcrDh+OWnBbIKnY1owtlczzJpiX0REqgEFlkpgbfxZnpiznbQLuQTV9OaDBzpwS/N6ri5LRETkulFgcWM2m8FHqw/yzsp4DAPaNQxk2qhoGtT2c3VpIiIi15UCi5tKv5jLpLk7+GFfEgDDuzTilUGt8PXycHFlIiIi158Cixvae9rC2JlxHEu5gLenmb8PbsPQzhGuLktERMRlFFjczDfbT/Lcgl1k5dpoUNuPGaOiadsw0NVliYiIuJQCi5vIybPx2tK9fLrxKAC9ourz/rD21Knp7drCRERE3ECFzeE+bdo0IiMj8fX1JTo6mvXr15e4/dq1a4mOjsbX15emTZsyY8aMiirN7ZyxZDH8Pz85wsrjt93AJw91VlgRERG5pEICy9y5c5k4cSIvvvgi27dvp2fPngwYMICEhIQitz9y5AgDBw6kZ8+ebN++nRdeeIHHH3+c+fPnV0R5buWnwync+cEG4o6dw9/Xk/8+2IlJ/VrgoflVREREHEyGYRjlfdCuXbvSsWNHpk+f7lh24403MmTIEKZMmVJo+2effZbFixezd+9ex7KxY8eyc+dONm3aVKrXtFgsBAYGkp6eTkBAwG9/ExXMMAw+3nCEKcv2YbUZtAz1Z8aoaJrUq+nq0kRERK6b0n5/l3sLS05ODnFxcfTr189peb9+/di4cWOR+2zatKnQ9jExMWzdupXc3Nwi98nOzsZisTjdKovM7Dwenb2dvy/Zi9VmMLh9OAvG91BYERERKUa5B5bk5GSsVishISFOy0NCQkhMTCxyn8TExCK3z8vLIzk5uch9pkyZQmBgoOMWEVF5hv1+uvEoS3adxtNsYvKgVrw3rD01vNX/WUREpDgV1unWZHLug2EYRqFlV9u+qOX5nn/+edLT0x2348eP/8aKr5+HezblzrZhzPlTNx66ObLEn4uIiIhUwLDmevXq4eHhUag1JSkpqVArSr7Q0NAit/f09KRu3bpF7uPj44OPj0/5FH2deXua+WhkR1eXISIiUmmUewuLt7c30dHRrFixwmn5ihUr6NGjR5H7dO/evdD2y5cvp1OnTnh5eZV3iSIiIlLJVMgpoUmTJvHf//6X//3vf+zdu5cnn3yShIQExo4dC9hP5zz44IOO7ceOHcuxY8eYNGkSe/fu5X//+x8ff/wxTz/9dEWUJyIiIpVMhfT0HDZsGCkpKbz66qucPn2aNm3asHTpUho3bgzA6dOnneZkiYyMZOnSpTz55JN89NFHhIeH88EHH3DvvfdWRHkiIiJSyVTIPCyuUNnmYREREREXzsMiIiIiUt4UWERERMTtKbCIiIiI21NgEREREbenwCIiIiJuT4FFRERE3J4Ci4iIiLg9BRYRERFxewosIiIi4vYqZGp+V8ifsNdisbi4EhERESmt/O/tq028X2UCS0ZGBgAREREurkRERETKKiMjg8DAwGLXV5lrCdlsNk6dOoW/vz8mk8nV5VyVxWIhIiKC48eP69pHbk6/q8pDv6vKRb+vyqMif1eGYZCRkUF4eDhmc/E9VapMC4vZbKZhw4auLqPMAgIC9EGtJPS7qjz0u6pc9PuqPCrqd1VSy0o+dboVERERt6fAIiIiIm5PgcVFfHx8eOWVV/Dx8XF1KXIV+l1VHvpdVS76fVUe7vC7qjKdbkVERKTqUguLiIiIuD0FFhEREXF7CiwiIiLi9hRYRERExO0psLjAtGnTiIyMxNfXl+joaNavX+/qkqQIkydPxmQyOd1CQ0NdXZYA69atY9CgQYSHh2Mymfjmm2+c1huGweTJkwkPD8fPz49bb72VPXv2uKZYuerv66GHHir0WevWrZtriq3GpkyZQufOnfH39yc4OJghQ4awf/9+p21c+dlSYLnO5s6dy8SJE3nxxRfZvn07PXv2ZMCAASQkJLi6NClC69atOX36tOO2e/duV5ckQGZmJu3atWPq1KlFrn/zzTd55513mDp1Klu2bCE0NJS+ffs6rjkm19fVfl8A/fv3d/qsLV269DpWKABr165lwoQJ/PTTT6xYsYK8vDz69etHZmamYxuXfrYMua66dOlijB071mlZy5Ytjeeee85FFUlxXnnlFaNdu3auLkOuAjAWLlzoeG6z2YzQ0FDj9ddfdyzLysoyAgMDjRkzZrigQinoyt+XYRjGmDFjjMGDB7ukHileUlKSARhr1641DMP1ny21sFxHOTk5xMXF0a9fP6fl/fr1Y+PGjS6qSkpy4MABwsPDiYyM5IEHHuDw4cOuLkmu4siRIyQmJjp9znx8fOjdu7c+Z25szZo1BAcHExUVxcMPP0xSUpKrS6r20tPTAQgKCgJc/9lSYLmOkpOTsVqthISEOC0PCQkhMTHRRVVJcbp27crnn39ObGws//nPf0hMTKRHjx6kpKS4ujQpQf5nSZ+zymPAgAHMmjWLVatW8fbbb7NlyxZuu+02srOzXV1atWUYBpMmTeKWW26hTZs2gOs/W1Xmas2ViclkcnpuGEahZeJ6AwYMcDxu27Yt3bt3p1mzZnz22WdMmjTJhZVJaehzVnkMGzbM8bhNmzZ06tSJxo0bs2TJEu655x4XVlZ9Pfroo+zatYsNGzYUWueqz5ZaWK6jevXq4eHhUSiJJiUlFUqs4n5q1qxJ27ZtOXDggKtLkRLkj+TS56zyCgsLo3Hjxvqsuchjjz3G4sWLWb16NQ0bNnQsd/VnS4HlOvL29iY6OpoVK1Y4LV+xYgU9evRwUVVSWtnZ2ezdu5ewsDBXlyIliIyMJDQ01OlzlpOTw9q1a/U5qyRSUlI4fvy4PmvXmWEYPProoyxYsIBVq1YRGRnptN7Vny2dErrOJk2axOjRo+nUqRPdu3fn3//+NwkJCYwdO9bVpckVnn76aQYNGkSjRo1ISkri73//OxaLhTFjxri6tGrv/PnzHDx40PH8yJEj7Nixg6CgIBo1asTEiRN57bXXaN68Oc2bN+e1116jRo0ajBgxwoVVV18l/b6CgoKYPHky9957L2FhYRw9epQXXniBevXqcffdd7uw6upnwoQJfPnllyxatAh/f39HS0pgYCB+fn6YTCbXfrYqfBySFPLRRx8ZjRs3Nry9vY2OHTs6hoyJexk2bJgRFhZmeHl5GeHh4cY999xj7Nmzx9VliWEYq1evNoBCtzFjxhiGYR9++corrxihoaGGj4+P0atXL2P37t2uLboaK+n3deHCBaNfv35G/fr1DS8vL6NRo0bGmDFjjISEBFeXXe0U9TsCjE8++cSxjSs/W6ZLRYqIiIi4LfVhEREREbenwCIiIiJuT4FFRERE3J4Ci4iIiLg9BRYRERFxewosIiIi4vYUWERERMTtKbCIiIiI21NgEREREbenwCIiIiJuT4FFRERE3J4Ci4iIiLi9/weNHJlzOcc4ZgAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
@@ -4009,7 +6615,7 @@
},
{
"cell_type": "code",
- "execution_count": 86,
+ "execution_count": 57,
"id": "cecf5392",
"metadata": {},
"outputs": [],
@@ -4041,7 +6647,7 @@
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 21,
"id": "ddf433f9",
"metadata": {},
"outputs": [],
@@ -4168,7 +6774,7 @@
},
{
"cell_type": "code",
- "execution_count": 78,
+ "execution_count": 22,
"id": "d31bad38",
"metadata": {},
"outputs": [],
@@ -4194,7 +6800,7 @@
},
{
"cell_type": "code",
- "execution_count": 79,
+ "execution_count": 23,
"id": "62b9f588",
"metadata": {},
"outputs": [
@@ -4313,7 +6919,7 @@
"[380 rows x 3 columns]"
]
},
- "execution_count": 79,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -4332,36 +6938,30 @@
},
{
"cell_type": "code",
- "execution_count": 80,
- "id": "861a06ce",
- "metadata": {},
- "outputs": [],
- "source": [
- "matchday = 21"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
+ "execution_count": 24,
"id": "c58ba41d",
"metadata": {},
"outputs": [],
"source": [
- "def PlayerMatch(player, match = matchday):\n",
+ "def PlayerMatch(player, match = 0):\n",
" team = players.loc[player]['team']\n",
" \n",
- " for i in range (cal_df.shape[0]):\n",
- " if(cal_df['matchday'][i] == match):\n",
- " if(cal_df['team1'][i] == team):\n",
- " home = 1\n",
- " oppteam = cal_df['team2'][i]\n",
- " elif(cal_df['team2'][i] == team):\n",
- " home = 0\n",
- " oppteam = cal_df['team1'][i]\n",
+ " if(match == 0):\n",
+ " oppteam = 'Avg'\n",
+ " home = 1\n",
+ " else:\n",
+ " for i in range (cal_df.shape[0]):\n",
+ " if(cal_df['matchday'][i] == match):\n",
+ " if(cal_df['team1'][i] == team):\n",
+ " home = 1\n",
+ " oppteam = cal_df['team2'][i]\n",
+ " elif(cal_df['team2'][i] == team):\n",
+ " home = 0\n",
+ " oppteam = cal_df['team1'][i]\n",
" \n",
" return [player, team, oppteam, home]\n",
"\n",
- "def predict_player(player, match = matchday, plot = 0, log = 0, oldseason = False):\n",
+ "def predict_player(player, match = 0, plot = 0, log = 0, oldseason = False):\n",
" [player, team, oppteam, home] = PlayerMatch(player, match)\n",
" return vote_predict_NNb(player, team, oppteam, home = home, plot = plot, log = log, oldseason = oldseason)"
]
@@ -4376,7 +6976,7 @@
},
{
"cell_type": "code",
- "execution_count": 82,
+ "execution_count": 25,
"id": "f79792b6",
"metadata": {},
"outputs": [
@@ -4412,29 +7012,29 @@
" \n",
" \n",
" \n",
- " Carnesecchi \n",
+ " Tatarusanu \n",
" 1.00 \n",
" 90 \n",
" \n",
" \n",
- " Bianchetti \n",
- " 0.55 \n",
- " 55 \n",
+ " Thiaw \n",
+ " 0.65 \n",
+ " 65 \n",
" \n",
" \n",
- " Chiriches \n",
+ " Kjaer \n",
" 1.00 \n",
- " 80 \n",
+ " 85 \n",
" \n",
" \n",
- " Vasquez \n",
+ " Kalulu \n",
" 1.00 \n",
" 90 \n",
" \n",
" \n",
- " Sernicola \n",
- " 1.00 \n",
- " 90 \n",
+ " Saelemaekers \n",
+ " 0.60 \n",
+ " 60 \n",
" \n",
" \n",
" ... \n",
@@ -4442,54 +7042,54 @@
" ... \n",
" \n",
" \n",
- " Cuadrado \n",
- " 0.00 \n",
+ " Dumfries \n",
+ " 0.45 \n",
" 60 \n",
" \n",
" \n",
- " Pogba \n",
+ " Mkhitaryan \n",
+ " 0.45 \n",
+ " 55 \n",
+ " \n",
+ " \n",
+ " Asllani \n",
" 0.00 \n",
" 30 \n",
" \n",
" \n",
- " Miretti \n",
+ " Gagliardini \n",
" 0.00 \n",
" 50 \n",
" \n",
" \n",
- " Soule' \n",
- " 0.00 \n",
- " 30 \n",
- " \n",
- " \n",
- " Kean \n",
+ " Lukaku \n",
" 0.40 \n",
" 60 \n",
" \n",
" \n",
"\n",
- "449 rows × 2 columns
\n",
+ "438 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Carnesecchi 1.00 90\n",
- "Bianchetti 0.55 55\n",
- "Chiriches 1.00 80\n",
- "Vasquez 1.00 90\n",
- "Sernicola 1.00 90\n",
- "... ... ...\n",
- "Cuadrado 0.00 60\n",
- "Pogba 0.00 30\n",
- "Miretti 0.00 50\n",
- "Soule' 0.00 30\n",
- "Kean 0.40 60\n",
+ " starter percentage\n",
+ "player \n",
+ "Tatarusanu 1.00 90\n",
+ "Thiaw 0.65 65\n",
+ "Kjaer 1.00 85\n",
+ "Kalulu 1.00 90\n",
+ "Saelemaekers 0.60 60\n",
+ "... ... ...\n",
+ "Dumfries 0.45 60\n",
+ "Mkhitaryan 0.45 55\n",
+ "Asllani 0.00 30\n",
+ "Gagliardini 0.00 50\n",
+ "Lukaku 0.40 60\n",
"\n",
- "[449 rows x 2 columns]"
+ "[438 rows x 2 columns]"
]
},
- "execution_count": 82,
+ "execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
@@ -4512,7 +7112,7 @@
},
{
"cell_type": "code",
- "execution_count": 92,
+ "execution_count": 58,
"id": "5e63c2b7",
"metadata": {
"scrolled": true
@@ -4522,561 +7122,561 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Meret: MV 6.10 ± 0.98; FV 5.34 + 1.45 (44.1% cs)\n",
- "Provedel: MV 6.16 ± 0.77; FV 5.69 + 1.16 (59.7% cs)\n",
- "Vicario: MV 6.64 ± 0.90; FV 5.24 + 1.26 (16.3% cs)\n",
- "Szczesny: MV 6.10 ± 0.93; FV 5.25 + 1.58 (35.8% cs)\n",
- "Falcone: MV 6.16 ± 0.65; FV 5.99 + 0.99 (76.0% cs)\n",
- "Silvestri: MV 6.29 ± 1.34; FV 5.57 + 1.57 (51.0% cs)\n",
- "Rui Patricio: MV 6.13 ± 0.55; FV 5.82 + 0.99 (64.6% cs)\n",
- "Onana: MV 6.23 ± 0.65; FV 3.96 + 1.76 (5.0% cs)\n",
- "Sepe: MV 6.55 ± 0.82; FV 4.61 + 1.47 (7.0% cs)\n",
- "Milinkovic-Savic V.: MV 6.01 ± 0.09; FV 4.62 + 0.67 (5.5% cs)\n",
- "Musso: MV 6.16 ± 1.03; FV 5.44 + 1.50 (48.3% cs)\n",
- "Maignan: MV 6.27 ± 0.96; FV 4.23 + 2.06 (7.7% cs)\n",
- "Carnesecchi: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Di Gregorio: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Audero: MV 6.03 ± 0.25; FV 4.07 + 0.91 (1.0% cs)\n",
- "Montipo': MV 6.28 ± 0.70; FV 4.61 + 1.13 (1.8% cs)\n",
- "Skorupski: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Consigli: MV 5.99 ± 0.41; FV 3.36 + 1.71 (0.5% cs)\n",
- "Dragowski: MV 5.59 ± 0.34; FV 2.85 + 2.10 (0.3% cs)\n",
- "Terracciano: MV 6.01 ± 0.20; FV 4.68 + 1.14 (7.0% cs)\n",
- "Tatarusanu: MV 5.70 ± 0.38; FV 2.92 + 2.12 (0.3% cs)\n",
- "Handanovic: MV 5.85 ± 0.47; FV 3.07 + 2.29 (0.8% cs)\n",
- "Sportiello: MV 6.19 ± 1.20; FV 5.27 + 1.62 (35.7% cs)\n",
- "Perin: MV 6.19 ± 1.13; FV 5.42 + 1.60 (45.4% cs)\n",
- "Zoet: MV 6.46 ± 0.74; FV 4.60 + 1.36 (6.7% cs)\n",
- "Ochoa: MV 6.50 ± 0.92; FV 4.76 + 1.62 (10.5% cs)\n",
- "Pegolo: MV 6.12 ± 0.53; FV 3.73 + 1.73 (1.3% cs)\n",
- "Gollini: MV 6.13 ± 1.01; FV 5.49 + 1.41 (52.8% cs)\n",
- "Mirante: MV 6.27 ± 0.96; FV 4.23 + 2.06 (7.7% cs)\n",
- "Sarr M.: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Lamanna: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Ujkani: MV 6.64 ± 0.90; FV 5.24 + 1.26 (16.3% cs)\n",
- "Berisha: MV 6.01 ± 0.09; FV 4.62 + 0.67 (5.5% cs)\n",
- "Marchetti: MV 5.59 ± 0.34; FV 2.85 + 2.10 (0.3% cs)\n",
- "Perilli: MV 6.28 ± 0.70; FV 4.61 + 1.13 (1.8% cs)\n",
- "Padelli: MV 6.29 ± 1.34; FV 5.57 + 1.57 (51.0% cs)\n",
- "Perisan: MV 6.64 ± 0.90; FV 5.24 + 1.26 (16.3% cs)\n",
- "Bardi: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Cordaz: MV 6.23 ± 0.65; FV 3.96 + 1.76 (5.0% cs)\n",
- "Pinsoglio: MV 6.10 ± 0.93; FV 5.25 + 1.58 (35.8% cs)\n",
- "Fiorillo: MV 6.55 ± 0.82; FV 4.61 + 1.47 (7.0% cs)\n",
- "Cragno: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Sirigu: MV 6.01 ± 0.20; FV 4.68 + 1.14 (7.0% cs)\n",
- "Cerofolini: MV 6.01 ± 0.20; FV 4.68 + 1.14 (7.0% cs)\n",
- "Rossi F.: MV 6.16 ± 1.03; FV 5.44 + 1.50 (48.3% cs)\n",
- "Ravaglia F.: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Brancolini: MV 6.16 ± 0.65; FV 5.99 + 0.99 (76.0% cs)\n",
- "Bleve: MV 6.16 ± 0.65; FV 5.99 + 0.99 (76.0% cs)\n",
- "Berardi A.: MV 6.28 ± 0.70; FV 4.61 + 1.13 (1.8% cs)\n",
- "Russo A.: MV 5.99 ± 0.41; FV 3.36 + 1.71 (0.5% cs)\n",
- "Gemello: MV 6.01 ± 0.09; FV 4.62 + 0.67 (5.5% cs)\n",
- "Ravaglia: MV 6.03 ± 0.25; FV 4.07 + 0.91 (1.0% cs)\n",
- "Boer: MV 6.13 ± 0.55; FV 5.82 + 0.99 (64.6% cs)\n",
- "Adamonis: MV 6.16 ± 0.77; FV 5.69 + 1.16 (59.7% cs)\n",
- "Marfella: MV 6.10 ± 0.98; FV 5.34 + 1.45 (44.1% cs)\n",
- "Zovko: MV 5.61 ± 0.36; FV 2.85 + 2.17 (0.3% cs)\n",
- "Piana: MV 6.29 ± 1.34; FV 5.57 + 1.57 (51.0% cs)\n",
- "Bagnolini: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Luis Maximiano: MV 6.08 ± 0.54; FV 5.53 + 1.15 (54.4% cs)\n",
- "Svilar: MV 6.13 ± 0.55; FV 5.82 + 0.99 (64.6% cs)\n",
- "Sorrentino A.: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Ciezkowski: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Saro: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Vasquez D.: MV 6.38 ± 1.02; FV 4.65 + 1.79 (13.0% cs)\n",
- "Turk: MV 6.03 ± 0.25; FV 4.07 + 0.91 (1.0% cs)\n",
- "Dimarco: MV 6.16 ± 0.94; FV 6.64 + 1.86\n",
- "Smalling: MV 6.26 ± 0.99; FV 6.86 + 2.03\n",
- "Doig: MV 6.11 ± 1.20; FV 6.88 + 2.70\n",
- "Carlos Augusto: MV 6.37 ± 1.15; FV 7.25 + 2.84\n",
- "Kim: MV 6.24 ± 0.88; FV 6.76 + 1.66\n",
- "Posch: MV 6.04 ± 0.97; FV 6.41 + 1.69\n",
- "Di Lorenzo: MV 6.24 ± 0.83; FV 6.74 + 1.64\n",
- "Danilo: MV 6.25 ± 0.99; FV 6.80 + 1.95\n",
- "Hernandez T.: MV 6.01 ± 1.05; FV 6.23 + 1.50\n",
- "Udogie: MV 6.00 ± 1.01; FV 6.44 + 1.82\n",
- "Parisi: MV 6.08 ± 0.81; FV 6.37 + 1.29\n",
- "Mario Rui: MV 6.22 ± 0.82; FV 6.67 + 1.51\n",
- "Romagnoli: MV 6.19 ± 0.85; FV 6.52 + 1.31\n",
- "Bastoni S.: MV 5.93 ± 0.83; FV 6.08 + 1.15\n",
- "Mazzocchi: MV 6.05 ± 0.87; FV 6.29 + 1.24\n",
- "Valeri: MV 6.07 ± 0.67; FV 6.24 + 0.99\n",
- "Tomori: MV 5.94 ± 0.93; FV 6.05 + 1.27\n",
- "Scalvini: MV 6.07 ± 1.02; FV 6.42 + 1.63\n",
- "Toloi: MV 6.12 ± 0.86; FV 6.35 + 1.16\n",
- "Demiral: MV 6.01 ± 0.88; FV 6.23 + 1.23\n",
- "Maehle: MV 6.04 ± 0.91; FV 6.53 + 1.76\n",
- "Dumfries: MV 6.01 ± 0.93; FV 6.33 + 1.50\n",
- "Baschirotto: MV 6.23 ± 0.98; FV 6.79 + 1.96\n",
- "Bijol: MV 5.87 ± 1.05; FV 6.04 + 1.46\n",
- "Schuurs: MV 6.12 ± 0.68; FV 6.15 + 0.72\n",
- "Juan Jesus: MV 6.21 ± 0.78; FV 6.73 + 1.60\n",
- "Depaoli: MV 5.78 ± 0.91; FV 6.04 + 1.43\n",
- "Mancini: MV 6.05 ± 0.56; FV 6.06 + 0.59\n",
- "Ibanez: MV 6.05 ± 0.75; FV 6.21 + 0.95\n",
- "Rodrigo Becao: MV 6.04 ± 0.87; FV 6.24 + 1.13\n",
- "Ebuehi: MV 6.01 ± 0.72; FV 6.20 + 1.03\n",
- "Gosens: MV 5.95 ± 0.66; FV 6.11 + 1.01\n",
- "Darmian: MV 6.06 ± 0.72; FV 6.29 + 1.12\n",
- "Reca: MV 5.72 ± 0.90; FV 5.85 + 1.15\n",
- "Bremer: MV 6.06 ± 1.01; FV 6.36 + 1.55\n",
- "Sernicola: MV 5.98 ± 0.77; FV 6.19 + 1.14\n",
- "Rrahmani: MV 6.26 ± 0.90; FV 6.78 + 1.72\n",
- "Vojvoda: MV 5.98 ± 0.79; FV 6.10 + 1.01\n",
- "Holm: MV 5.79 ± 0.70; FV 5.83 + 0.85\n",
- "Bastoni: MV 6.02 ± 0.90; FV 6.25 + 1.33\n",
- "Milenkovic: MV 5.90 ± 1.02; FV 6.03 + 1.36\n",
- "Kalulu: MV 5.70 ± 1.18; FV 5.69 + 1.34\n",
- "Martinez Quarta: MV 6.06 ± 0.92; FV 6.33 + 1.30\n",
- "Casale: MV 6.09 ± 0.75; FV 6.20 + 0.90\n",
- "Perez N.: MV 6.04 ± 0.88; FV 6.25 + 1.15\n",
- "Olivera: MV 6.18 ± 0.80; FV 6.63 + 1.55\n",
- "Izzo: MV 6.10 ± 0.60; FV 6.21 + 0.79\n",
- "Luperto: MV 5.80 ± 1.13; FV 5.86 + 1.27\n",
- "Skriniar: MV 5.87 ± 0.82; FV 5.82 + 0.94\n",
- "Rodriguez R.: MV 5.98 ± 0.73; FV 5.97 + 0.69\n",
- "Marusic: MV 6.06 ± 0.67; FV 6.08 + 0.68\n",
- "Lazzari: MV 6.10 ± 0.71; FV 6.17 + 0.77\n",
- "Kyriakopoulos: MV 5.92 ± 0.84; FV 6.04 + 1.10\n",
- "Ampadu: MV 5.66 ± 1.05; FV 5.71 + 1.19\n",
- "Ismajli: MV 6.05 ± 0.79; FV 6.07 + 0.76\n",
- "Llorente D.: MV 5.97 ± 0.81; FV 6.12 + 1.04\n",
- "Cambiaso: MV 5.92 ± 0.75; FV 5.91 + 0.74\n",
- "Hysaj: MV 6.02 ± 0.54; FV 6.03 + 0.59\n",
- "Biraghi: MV 5.97 ± 0.63; FV 5.98 + 0.65\n",
- "Medel: MV 5.97 ± 0.78; FV 5.95 + 0.72\n",
- "Bonucci: MV 6.21 ± 1.07; FV 6.87 + 2.39\n",
- "Calabria: MV 5.88 ± 0.98; FV 5.98 + 1.28\n",
- "Acerbi: MV 6.05 ± 0.82; FV 6.30 + 1.21\n",
- "Spinazzola: MV 5.99 ± 0.55; FV 6.01 + 0.59\n",
- "Lykogiannis: MV 5.93 ± 0.60; FV 5.93 + 0.64\n",
- "Pellegrini Lu.: MV 6.07 ± 0.64; FV 6.14 + 0.74\n",
- "Djidji: MV 5.84 ± 0.87; FV 5.90 + 1.02\n",
- "Lazaro: MV 5.95 ± 0.85; FV 6.04 + 1.02\n",
- "Augello: MV 5.80 ± 0.91; FV 5.99 + 1.29\n",
- "Gallo: MV 5.98 ± 0.62; FV 5.94 + 0.52\n",
- "Singo: MV 5.96 ± 0.68; FV 5.98 + 0.75\n",
- "Mari': MV 6.11 ± 0.82; FV 6.43 + 1.27\n",
- "Caldirola: MV 6.04 ± 0.62; FV 6.01 + 0.56\n",
- "Dodo': MV 5.64 ± 0.93; FV 5.62 + 0.87\n",
- "De Vrij: MV 5.82 ± 0.90; FV 5.88 + 1.07\n",
- "Patric: MV 6.08 ± 0.69; FV 6.12 + 0.69\n",
- "Faraoni: MV 5.82 ± 0.71; FV 5.84 + 0.89\n",
- "Ceccherini: MV 5.69 ± 0.96; FV 5.78 + 1.14\n",
- "Hateboer: MV 5.83 ± 1.00; FV 6.07 + 1.56\n",
- "Rogerio: MV 5.74 ± 0.86; FV 5.78 + 0.96\n",
- "Umtiti: MV 6.06 ± 0.82; FV 6.10 + 0.82\n",
- "Aina: MV 5.93 ± 0.84; FV 6.09 + 1.21\n",
- "Birindelli: MV 5.99 ± 0.57; FV 6.05 + 0.65\n",
- "Lucumi': MV 5.85 ± 0.85; FV 5.83 + 0.81\n",
- "Ehizibue: MV 5.88 ± 0.82; FV 6.01 + 1.12\n",
- "Bianchetti: MV 5.86 ± 0.76; FV 5.97 + 0.96\n",
- "Ferrari G.: MV 5.74 ± 1.08; FV 5.79 + 1.29\n",
- "Fazio: MV 5.70 ± 1.34; FV 5.64 + 1.44\n",
- "Gravillon: MV 5.95 ± 0.84; FV 6.01 + 0.96\n",
- "Buongiorno: MV 5.92 ± 0.73; FV 5.85 + 0.65\n",
- "Gunter: MV 5.75 ± 1.04; FV 5.91 + 1.36\n",
- "Troost-Ekong: MV 5.71 ± 1.23; FV 5.75 + 1.37\n",
- "Soumaoro: MV 5.76 ± 1.02; FV 5.75 + 1.02\n",
- "Ceccaroni: MV 6.01 ± 0.77; FV 6.05 + 0.78\n",
- "Pongracic: MV 5.98 ± 0.64; FV 5.98 + 0.56\n",
- "Soppy: MV 5.86 ± 0.72; FV 5.82 + 0.70\n",
- "Gendrey: MV 5.87 ± 0.59; FV 5.85 + 0.52\n",
- "Hien: MV 5.67 ± 0.81; FV 5.62 + 0.76\n",
- "Ferrari A.: MV 5.94 ± 0.81; FV 6.09 + 1.10\n",
- "Masina: MV 6.01 ± 0.81; FV 6.24 + 1.17\n",
- "Zappacosta: MV 6.01 ± 0.73; FV 6.18 + 0.94\n",
- "Gyomber: MV 5.70 ± 0.89; FV 5.68 + 0.84\n",
- "Alex Sandro: MV 5.73 ± 0.87; FV 5.67 + 0.80\n",
- "Pezzella Giu.: MV 5.93 ± 0.55; FV 5.94 + 0.52\n",
- "Bereszynski: MV 5.93 ± 0.54; FV 5.89 + 0.50\n",
- "Venuti: MV 5.69 ± 0.76; FV 5.67 + 0.70\n",
- "Palomino: MV 6.00 ± 0.89; FV 6.12 + 1.02\n",
- "Nuytinck: MV 5.89 ± 0.99; FV 5.96 + 1.10\n",
- "Marlon: MV 5.98 ± 0.49; FV 5.92 + 0.46\n",
- "Magnani: MV 5.61 ± 1.01; FV 5.54 + 0.96\n",
- "Colley: MV 5.77 ± 1.10; FV 5.93 + 1.46\n",
- "Nikolaou: MV 5.52 ± 0.94; FV 5.43 + 0.90\n",
- "Terzic: MV 5.98 ± 0.43; FV 5.95 + 0.46\n",
- "Igor: MV 5.65 ± 0.92; FV 5.57 + 0.81\n",
- "Toljan: MV 5.67 ± 0.77; FV 5.66 + 0.81\n",
- "Zortea: MV 5.92 ± 0.81; FV 6.06 + 1.19\n",
- "Dawidowicz: MV 5.60 ± 0.97; FV 5.61 + 1.03\n",
- "Celik: MV 5.87 ± 0.60; FV 5.83 + 0.55\n",
- "Bellanova: MV 5.94 ± 0.75; FV 6.02 + 0.96\n",
- "Erlic: MV 5.74 ± 0.96; FV 5.77 + 1.04\n",
- "Ballo-Toure': MV 6.01 ± 0.67; FV 6.17 + 0.97\n"
+ "Meret: MV 6.24 ± 0.83; FV 5.81 + 0.85 (56.5% cs)\n",
+ "Provedel: MV 6.24 ± 0.83; FV 4.69 + 1.04 (0.9% cs)\n",
+ "Vicario: MV 6.24 ± 0.83; FV 5.24 + 0.81 (22.3% cs)\n",
+ "Szczesny: MV 6.24 ± 0.83; FV 5.41 + 1.14 (20.8% cs)\n",
+ "Falcone: MV 6.24 ± 0.83; FV 5.10 + 0.81 (1.3% cs)\n",
+ "Silvestri: MV 6.24 ± 0.83; FV 6.32 + 0.70 (90.3% cs)\n",
+ "Rui Patricio: MV 6.24 ± 0.83; FV 5.21 + 1.01 (36.2% cs)\n",
+ "Onana: MV 6.24 ± 0.83; FV 5.92 + 0.68 (75.7% cs)\n",
+ "Sepe: MV 6.24 ± 0.83; FV 5.12 + 0.83 (15.6% cs)\n",
+ "Milinkovic-Savic V.: MV 6.24 ± 0.83; FV 5.00 + 0.95 (11.2% cs)\n",
+ "Musso: MV 6.24 ± 0.83; FV 3.81 + 1.49 (0.6% cs)\n",
+ "Maignan: MV 6.24 ± 0.83; FV 6.00 + 0.73 (73.6% cs)\n",
+ "Carnesecchi: MV 6.24 ± 0.83; FV 4.57 + 1.04 (0.2% cs)\n",
+ "Di Gregorio: MV 6.25 ± 0.82; FV 4.11 + 1.48 (1.1% cs)\n",
+ "Audero: MV 6.24 ± 0.83; FV 4.55 + 1.06 (0.6% cs)\n",
+ "Montipo': MV 6.24 ± 0.83; FV 4.98 + 0.94 (6.1% cs)\n",
+ "Skorupski: MV 6.24 ± 0.83; FV 4.59 + 0.97 (0.3% cs)\n",
+ "Consigli: MV 6.24 ± 0.83; FV 4.17 + 1.27 (0.2% cs)\n",
+ "Dragowski: MV 6.24 ± 0.83; FV 5.35 + 0.75 (19.2% cs)\n",
+ "Terracciano: MV 6.24 ± 0.83; FV 4.16 + 1.30 (0.1% cs)\n",
+ "Tatarusanu: MV 6.24 ± 0.83; FV 4.59 + 1.26 (1.1% cs)\n",
+ "Handanovic: MV 6.24 ± 0.83; FV 5.88 + 0.68 (73.4% cs)\n",
+ "Sportiello: MV 6.23 ± 0.83; FV 3.84 + 1.56 (0.6% cs)\n",
+ "Perin: MV 6.25 ± 0.83; FV 5.67 + 1.10 (36.8% cs)\n",
+ "Zoet: MV 6.24 ± 0.83; FV 4.94 + 0.82 (6.0% cs)\n",
+ "Ochoa: MV 6.24 ± 0.83; FV 4.69 + 0.90 (2.1% cs)\n",
+ "Pegolo: MV 6.19 ± 0.84; FV 3.81 + 1.55 (0.2% cs)\n",
+ "Gollini: MV 6.24 ± 0.83; FV 5.18 + 0.91 (12.0% cs)\n",
+ "Mirante no data\n",
+ "Sarr M. no data\n",
+ "Lamanna no data\n",
+ "Ujkani no data\n",
+ "Berisha: MV 6.24 ± 0.83; FV 5.34 + 0.97 (24.2% cs)\n",
+ "Marchetti no data\n",
+ "Perilli no data\n",
+ "Padelli: MV 6.24 ± 0.83; FV 4.85 + 0.92 (0.8% cs)\n",
+ "Perisan no data\n",
+ "Bardi: MV 6.24 ± 0.83; FV 4.52 + 1.11 (1.2% cs)\n",
+ "Cordaz no data\n",
+ "Pinsoglio: MV 6.24 ± 0.83; FV 4.93 + 0.88 (5.9% cs)\n",
+ "Fiorillo: MV 6.24 ± 0.83; FV 4.54 + 1.12 (0.1% cs)\n",
+ "Cragno: MV 6.24 ± 0.83; FV 4.31 + 1.32 (0.0% cs)\n",
+ "Sirigu: MV 6.24 ± 0.83; FV 4.39 + 1.28 (0.0% cs)\n",
+ "Cerofolini no data\n",
+ "Rossi F.: MV 6.24 ± 0.83; FV 4.15 + 1.31 (0.1% cs)\n",
+ "Ravaglia F. no data\n",
+ "Brancolini no data\n",
+ "Bleve no data\n",
+ "Berardi A.: MV 6.24 ± 0.83; FV 4.39 + 1.22 (0.1% cs)\n",
+ "Russo A. no data\n",
+ "Gemello: MV 6.24 ± 0.83; FV 6.00 + 0.89 (75.0% cs)\n",
+ "Ravaglia: MV 6.24 ± 0.83; FV 4.33 + 1.32 (0.0% cs)\n",
+ "Boer no data\n",
+ "Adamonis no data\n",
+ "Marfella: MV 6.24 ± 0.83; FV 5.68 + 0.90 (40.5% cs)\n",
+ "Zovko: MV 6.24 ± 0.83; FV 4.84 + 0.84 (1.3% cs)\n",
+ "Piana no data\n",
+ "Bagnolini no data\n",
+ "Luis Maximiano: MV 6.10 ± 0.86; FV 4.82 + 1.71 (56.1% cs)\n",
+ "Svilar no data\n",
+ "Sorrentino A. no data\n",
+ "Ciezkowski no data\n",
+ "Saro no data\n",
+ "Vasquez D. no data\n",
+ "Turk no data\n",
+ "Dimarco: MV 6.29 ± 0.95; FV 6.93 + 2.01\n",
+ "Smalling: MV 6.22 ± 1.00; FV 6.64 + 1.69\n",
+ "Doig: MV 6.32 ± 1.21; FV 7.07 + 2.57\n",
+ "Carlos Augusto: MV 6.04 ± 1.05; FV 6.52 + 2.02\n",
+ "Kim: MV 6.32 ± 0.94; FV 6.85 + 1.93\n",
+ "Posch: MV 6.17 ± 1.20; FV 6.96 + 2.72\n",
+ "Di Lorenzo: MV 6.24 ± 0.80; FV 6.70 + 1.63\n",
+ "Danilo: MV 6.27 ± 0.94; FV 6.74 + 1.77\n",
+ "Hernandez T.: MV 6.04 ± 1.15; FV 6.44 + 1.95\n",
+ "Udogie: MV 6.15 ± 1.10; FV 6.75 + 2.24\n",
+ "Parisi: MV 6.28 ± 0.90; FV 6.93 + 1.99\n",
+ "Mario Rui: MV 6.23 ± 0.79; FV 6.57 + 1.45\n",
+ "Romagnoli: MV 6.13 ± 0.99; FV 6.30 + 1.31\n",
+ "Bastoni S.: MV 6.15 ± 0.95; FV 6.54 + 1.64\n",
+ "Mazzocchi: MV 6.18 ± 1.05; FV 6.69 + 1.95\n",
+ "Valeri: MV 5.93 ± 0.81; FV 6.08 + 0.99\n",
+ "Tomori: MV 6.13 ± 0.91; FV 6.40 + 1.32\n",
+ "Scalvini: MV 5.82 ± 1.11; FV 5.97 + 1.53\n",
+ "Toloi: MV 5.99 ± 0.97; FV 6.18 + 1.29\n",
+ "Demiral: MV 5.83 ± 0.90; FV 5.92 + 1.15\n",
+ "Maehle: MV 5.83 ± 1.00; FV 5.94 + 1.35\n",
+ "Dumfries: MV 6.22 ± 1.09; FV 6.79 + 2.06\n",
+ "Baschirotto: MV 6.17 ± 1.06; FV 6.57 + 1.81\n",
+ "Bijol: MV 6.00 ± 1.01; FV 6.29 + 1.61\n",
+ "Schuurs: MV 6.16 ± 0.81; FV 6.36 + 1.17\n",
+ "Juan Jesus: MV 6.19 ± 0.70; FV 6.51 + 1.31\n",
+ "Depaoli: MV 6.07 ± 1.04; FV 6.54 + 1.96\n",
+ "Mancini: MV 6.10 ± 0.72; FV 6.14 + 0.80\n",
+ "Ibanez: MV 6.09 ± 1.00; FV 6.44 + 1.57\n",
+ "Rodrigo Becao: MV 6.16 ± 0.88; FV 6.41 + 1.29\n",
+ "Ebuehi: MV 6.17 ± 0.80; FV 6.55 + 1.41\n",
+ "Gosens: MV 6.09 ± 0.66; FV 6.41 + 1.16\n",
+ "Darmian: MV 6.18 ± 0.80; FV 6.68 + 1.61\n",
+ "Reca: MV 6.03 ± 1.02; FV 6.31 + 1.56\n",
+ "Bremer: MV 6.08 ± 1.02; FV 6.32 + 1.43\n",
+ "Sernicola: MV 5.78 ± 0.84; FV 5.86 + 1.03\n",
+ "Rrahmani: MV 6.30 ± 0.91; FV 6.83 + 1.87\n",
+ "Vojvoda: MV 6.02 ± 0.99; FV 6.26 + 1.48\n",
+ "Holm: MV 6.06 ± 0.87; FV 6.28 + 1.28\n",
+ "Bastoni: MV 6.17 ± 0.83; FV 6.30 + 1.08\n",
+ "Milenkovic: MV 5.84 ± 1.08; FV 5.92 + 1.41\n",
+ "Kalulu: MV 5.82 ± 1.04; FV 5.84 + 1.14\n",
+ "Martinez Quarta: MV 5.90 ± 1.03; FV 5.98 + 1.21\n",
+ "Casale: MV 5.94 ± 0.94; FV 6.01 + 1.20\n",
+ "Perez N.: MV 6.09 ± 0.87; FV 6.13 + 0.97\n",
+ "Olivera: MV 6.17 ± 0.70; FV 6.58 + 1.42\n",
+ "Izzo: MV 5.93 ± 0.79; FV 5.93 + 0.75\n",
+ "Luperto: MV 6.13 ± 0.93; FV 6.32 + 1.23\n",
+ "Skriniar: MV 6.02 ± 0.74; FV 5.97 + 0.69\n",
+ "Rodriguez R.: MV 5.96 ± 0.87; FV 5.98 + 0.97\n",
+ "Marusic: MV 5.99 ± 0.81; FV 6.02 + 0.88\n",
+ "Lazzari: MV 6.03 ± 0.85; FV 6.07 + 0.95\n",
+ "Kyriakopoulos: MV 5.99 ± 0.94; FV 6.08 + 1.15\n",
+ "Ampadu: MV 5.88 ± 0.88; FV 5.88 + 1.02\n",
+ "Ismajli: MV 6.15 ± 0.74; FV 6.16 + 0.85\n",
+ "Llorente D.: MV 5.98 ± 0.98; FV 6.19 + 1.35\n",
+ "Cambiaso: MV 6.00 ± 0.81; FV 6.02 + 0.87\n",
+ "Hysaj: MV 5.96 ± 0.71; FV 6.00 + 0.73\n",
+ "Biraghi: MV 5.96 ± 0.75; FV 5.97 + 0.72\n",
+ "Medel: MV 5.99 ± 0.78; FV 5.92 + 0.73\n",
+ "Bonucci: MV 6.20 ± 0.97; FV 6.66 + 1.78\n",
+ "Calabria: MV 5.95 ± 1.00; FV 6.17 + 1.48\n",
+ "Acerbi: MV 6.15 ± 0.74; FV 6.24 + 0.94\n",
+ "Spinazzola: MV 5.95 ± 0.66; FV 6.03 + 0.65\n",
+ "Lykogiannis: MV 6.01 ± 0.71; FV 6.08 + 0.79\n",
+ "Pellegrini Lu.: MV 6.02 ± 0.77; FV 6.06 + 0.86\n",
+ "Djidji: MV 5.87 ± 1.01; FV 5.99 + 1.42\n",
+ "Lazaro: MV 5.91 ± 1.06; FV 6.07 + 1.40\n",
+ "Augello: MV 5.68 ± 0.90; FV 5.72 + 1.07\n",
+ "Gallo: MV 5.96 ± 0.75; FV 5.93 + 0.72\n",
+ "Singo: MV 6.03 ± 0.91; FV 6.24 + 1.33\n",
+ "Mari': MV 5.80 ± 1.11; FV 5.90 + 1.49\n",
+ "Caldirola: MV 5.77 ± 0.96; FV 5.72 + 0.97\n",
+ "Dodo': MV 5.77 ± 0.95; FV 5.65 + 0.95\n",
+ "De Vrij: MV 6.05 ± 0.78; FV 6.14 + 0.89\n",
+ "Patric: MV 6.00 ± 0.93; FV 6.01 + 1.00\n",
+ "Faraoni: MV 6.04 ± 0.83; FV 6.32 + 1.33\n",
+ "Ceccherini: MV 5.96 ± 0.96; FV 6.12 + 1.35\n",
+ "Hateboer: MV 5.73 ± 0.86; FV 5.75 + 1.02\n",
+ "Rogerio: MV 5.77 ± 0.93; FV 5.74 + 1.09\n",
+ "Umtiti: MV 5.92 ± 1.03; FV 6.00 + 1.18\n",
+ "Aina: MV 6.00 ± 1.03; FV 6.25 + 1.51\n",
+ "Birindelli: MV 5.80 ± 0.74; FV 5.80 + 0.80\n",
+ "Lucumi': MV 5.94 ± 0.84; FV 5.91 + 0.89\n",
+ "Ehizibue: MV 5.93 ± 0.92; FV 6.20 + 1.55\n",
+ "Bianchetti: MV 5.54 ± 1.02; FV 5.60 + 1.15\n",
+ "Ferrari G.: MV 5.71 ± 1.10; FV 5.78 + 1.40\n",
+ "Fazio: MV 5.80 ± 1.31; FV 6.05 + 1.86\n",
+ "Gravillon: MV 5.92 ± 1.00; FV 6.06 + 1.41\n",
+ "Buongiorno: MV 5.88 ± 0.89; FV 5.87 + 0.97\n",
+ "Gunter: MV 5.66 ± 1.00; FV 5.62 + 1.15\n",
+ "Troost-Ekong: MV 5.86 ± 1.14; FV 5.93 + 1.39\n",
+ "Soumaoro: MV 5.88 ± 0.98; FV 5.86 + 1.01\n",
+ "Ceccaroni: MV 5.93 ± 1.03; FV 6.05 + 1.34\n",
+ "Pongracic: MV 5.96 ± 0.78; FV 5.93 + 0.76\n",
+ "Soppy: MV 5.77 ± 0.76; FV 5.81 + 0.84\n",
+ "Gendrey: MV 5.82 ± 0.70; FV 5.80 + 0.63\n",
+ "Hien: MV 5.91 ± 0.81; FV 5.87 + 0.83\n",
+ "Ferrari A.: MV 5.57 ± 1.18; FV 5.61 + 1.33\n",
+ "Masina: MV 6.10 ± 1.06; FV 6.62 + 2.09\n",
+ "Zappacosta: MV 5.93 ± 0.79; FV 6.08 + 1.03\n",
+ "Gyomber: MV 5.83 ± 0.85; FV 5.78 + 0.82\n",
+ "Alex Sandro: MV 5.82 ± 0.91; FV 5.76 + 0.84\n",
+ "Pezzella Giu.: MV 5.90 ± 0.68; FV 5.91 + 0.60\n",
+ "Bereszynski: MV 6.00 ± 0.65; FV 5.95 + 0.56\n",
+ "Venuti: MV 5.75 ± 0.83; FV 5.73 + 0.85\n",
+ "Palomino: MV 5.86 ± 1.01; FV 5.92 + 1.19\n",
+ "Nuytinck: MV 5.71 ± 1.10; FV 5.68 + 1.25\n",
+ "Marlon: MV 5.78 ± 0.76; FV 5.75 + 0.72\n",
+ "Magnani: MV 5.95 ± 0.84; FV 5.89 + 0.84\n",
+ "Colley: MV 5.67 ± 1.14; FV 5.68 + 1.36\n",
+ "Nikolaou: MV 5.74 ± 0.79; FV 5.64 + 0.77\n",
+ "Terzic: MV 6.00 ± 0.56; FV 5.93 + 0.40\n",
+ "Igor: MV 5.75 ± 0.98; FV 5.60 + 0.94\n",
+ "Toljan: MV 5.65 ± 0.86; FV 5.60 + 0.91\n",
+ "Zortea: MV 5.80 ± 0.84; FV 5.88 + 1.10\n",
+ "Dawidowicz: MV 5.87 ± 0.97; FV 5.90 + 1.23\n",
+ "Celik: MV 5.81 ± 0.74; FV 5.81 + 0.68\n",
+ "Bellanova: MV 6.05 ± 0.78; FV 6.18 + 0.93\n",
+ "Erlic: MV 5.75 ± 1.06; FV 5.71 + 1.18\n",
+ "Ballo-Toure': MV 6.14 ± 0.79; FV 6.51 + 1.35\n",
+ "Dest: MV 5.79 ± 0.83; FV 5.78 + 0.80\n",
+ "Stojanovic: MV 5.90 ± 0.76; FV 5.91 + 0.76\n",
+ "Amian: MV 5.80 ± 0.81; FV 5.74 + 0.85\n",
+ "Bradaric: MV 5.75 ± 0.83; FV 5.73 + 0.98\n",
+ "Daniliuc: MV 5.81 ± 1.08; FV 5.86 + 1.33\n",
+ "Zima: MV 5.87 ± 0.94; FV 5.90 + 1.12\n",
+ "De Winter: MV 5.94 ± 0.76; FV 5.87 + 0.67\n",
+ "Quagliata: MV 5.73 ± 0.71; FV 5.73 + 0.68\n",
+ "Ebosse: MV 5.75 ± 0.72; FV 5.69 + 0.64\n",
+ "Aiwu: MV 5.70 ± 1.06; FV 5.75 + 1.30\n",
+ "Lochoshvili: MV 5.58 ± 0.90; FV 5.54 + 0.96\n",
+ "Bronn: MV 5.80 ± 0.70; FV 5.78 + 0.61\n",
+ "Thiaw: MV 5.99 ± 0.83; FV 5.97 + 0.80\n",
+ "Zeefuik: MV 5.98 ± 0.86; FV 6.06 + 1.03\n",
+ "Romagnoli S.: MV 5.98 ± 1.15; FV 6.30 + 1.81\n",
+ "Ghiglione: MV 5.67 ± 0.97; FV 5.69 + 1.15\n",
+ "Rugani: MV 6.04 ± 0.62; FV 5.98 + 0.52\n",
+ "De Sciglio: MV 5.94 ± 0.66; FV 5.94 + 0.57\n",
+ "Djimsiti: MV 5.80 ± 0.79; FV 5.81 + 0.80\n",
+ "Caldara: MV 5.79 ± 0.96; FV 5.73 + 1.01\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Dest: MV 5.67 ± 0.87; FV 5.75 + 0.98\n",
- "Stojanovic: MV 5.63 ± 0.78; FV 5.61 + 0.81\n",
- "Amian: MV 5.54 ± 0.85; FV 5.54 + 0.85\n",
- "Bradaric: MV 5.60 ± 0.82; FV 5.60 + 0.88\n",
- "Daniliuc: MV 5.66 ± 1.14; FV 5.66 + 1.25\n",
- "Zima: MV 5.89 ± 0.75; FV 5.85 + 0.67\n",
- "De Winter: MV 5.80 ± 0.79; FV 5.72 + 0.69\n",
- "Quagliata: MV 5.95 ± 0.54; FV 5.97 + 0.57\n",
- "Ebosse: MV 5.74 ± 0.70; FV 5.65 + 0.61\n",
- "Aiwu: MV 5.98 ± 0.72; FV 6.03 + 0.78\n",
- "Lochoshvili: MV 5.87 ± 0.62; FV 5.84 + 0.58\n",
- "Bronn: MV 5.77 ± 0.63; FV 5.71 + 0.58\n",
- "Thiaw: MV 5.71 ± 1.05; FV 5.77 + 1.22\n",
- "Zeefuik: MV 5.71 ± 0.86; FV 5.78 + 0.96\n",
- "Romagnoli S.: MV 6.14 ± 1.08; FV 6.76 + 2.16\n",
- "Ghiglione: MV 5.82 ± 0.77; FV 5.90 + 0.93\n",
- "Rugani: MV 6.00 ± 0.63; FV 5.98 + 0.56\n",
- "De Sciglio: MV 5.92 ± 0.57; FV 5.90 + 0.55\n",
- "Djimsiti: MV 5.93 ± 0.73; FV 5.90 + 0.68\n",
- "Caldara: MV 5.56 ± 1.07; FV 5.53 + 1.13\n",
- "Karsdorp: MV 5.95 ± 0.56; FV 5.91 + 0.53\n",
- "Marchizza: MV 5.79 ± 0.64; FV 5.71 + 0.68\n",
- "Kjaer: MV 5.89 ± 0.75; FV 5.85 + 0.85\n",
- "Okoli: MV 5.64 ± 0.87; FV 5.54 + 0.71\n",
- "Amione: MV 5.56 ± 0.86; FV 5.49 + 0.80\n",
- "Ruggeri: MV 5.92 ± 0.59; FV 5.84 + 0.53\n",
- "Zanoli: MV 5.94 ± 0.49; FV 5.91 + 0.47\n",
- "Wisniewski: MV 5.63 ± 0.97; FV 5.69 + 1.10\n",
- "Radovanovic: MV 5.49 ± 0.74; FV 5.30 + 0.62\n",
- "Dermaku: MV 5.98 ± 0.73; FV 6.04 + 0.73\n",
- "D'ambrosio: MV 6.07 ± 0.63; FV 6.15 + 0.77\n",
- "De Silvestri: MV 5.79 ± 0.87; FV 5.92 + 1.14\n",
- "Chiriches: MV 5.91 ± 0.72; FV 5.91 + 0.68\n",
- "Murru: MV 5.64 ± 0.84; FV 5.66 + 0.92\n",
- "Bonifazi: MV 5.75 ± 0.86; FV 5.70 + 0.76\n",
- "Donati: MV 6.08 ± 0.70; FV 6.13 + 0.73\n",
- "Walukiewicz: MV 5.64 ± 0.81; FV 5.59 + 0.75\n",
- "Ranieri L.: MV 5.71 ± 0.77; FV 5.73 + 0.86\n",
- "Gabbia: MV 5.51 ± 1.07; FV 5.41 + 1.06\n",
- "Kumbulla: MV 5.96 ± 0.48; FV 5.92 + 0.46\n",
- "Adopo: MV 5.89 ± 0.52; FV 5.82 + 0.49\n",
- "Pirola: MV 5.51 ± 0.91; FV 5.40 + 0.83\n",
- "Lovato: MV 5.54 ± 0.92; FV 5.46 + 0.82\n",
- "Tuia: MV 5.87 ± 0.76; FV 5.92 + 0.86\n",
- "Ferrer: MV 5.63 ± 1.04; FV 5.68 + 1.19\n",
- "Antov: MV 5.97 ± 0.73; FV 5.98 + 0.69\n",
- "Vasquez: MV 5.87 ± 0.63; FV 5.84 + 0.60\n",
- "Ruan: MV 5.43 ± 0.96; FV 5.17 + 0.83\n",
- "Ostigard: MV 6.06 ± 0.59; FV 6.07 + 0.61\n",
- "Coppola D.: MV 5.61 ± 0.78; FV 5.52 + 0.73\n",
- "Cacace: MV 5.68 ± 0.84; FV 5.61 + 0.78\n",
- "Gatti: MV 5.95 ± 0.70; FV 6.00 + 0.68\n",
- "Gila: MV 6.13 ± 0.78; FV 6.26 + 0.90\n",
- "Bayeye: MV 5.99 ± 0.87; FV 6.09 + 1.01\n",
- "Sambia: MV 5.79 ± 0.98; FV 5.85 + 1.07\n",
- "Moutinho J.: MV 5.51 ± 0.75; FV 5.48 + 0.73\n",
- "Conti: MV 5.89 ± 1.00; FV 6.22 + 1.64\n",
- "Marrone: MV 5.83 ± 0.71; FV 5.78 + 0.59\n",
- "Tonelli: MV 5.58 ± 0.83; FV 5.47 + 0.72\n",
- "Murillo: MV 5.57 ± 0.71; FV 5.44 + 0.60\n",
- "Radu: MV 6.08 ± 0.71; FV 6.15 + 0.72\n",
- "Paletta: MV 6.09 ± 0.72; FV 6.24 + 0.89\n",
- "Florenzi: MV 6.02 ± 0.72; FV 6.23 + 1.08\n",
- "Sala: MV 5.57 ± 0.75; FV 5.62 + 0.82\n",
- "Fares: MV 5.88 ± 0.65; FV 5.87 + 0.65\n",
- "Romagna: MV 5.87 ± 0.90; FV 5.94 + 1.12\n",
- "Cassandro: MV 5.98 ± 0.73; FV 6.05 + 0.75\n",
- "Muldur: MV 5.71 ± 0.77; FV 5.69 + 0.80\n",
- "Amey: MV 5.96 ± 0.86; FV 6.03 + 0.96\n",
- "Zanotti: MV 5.97 ± 0.91; FV 6.12 + 1.28\n",
- "Ebosele: MV 5.69 ± 0.76; FV 5.68 + 0.74\n",
- "Buta: MV 5.84 ± 0.90; FV 5.87 + 0.95\n",
- "Abankwah: MV 5.84 ± 0.90; FV 5.87 + 0.95\n",
- "Guessand A.: MV 5.84 ± 0.90; FV 5.87 + 0.95\n",
- "Cabal: MV 5.64 ± 0.91; FV 5.67 + 0.98\n",
- "Sosa: MV 5.71 ± 1.04; FV 5.76 + 1.13\n",
- "Guarino: MV 5.79 ± 0.86; FV 5.83 + 0.97\n",
- "Carboni F.: MV 6.03 ± 0.59; FV 6.07 + 0.63\n",
- "Zaccagni: MV 6.53 ± 1.34; FV 7.89 + 4.28\n",
- "Kvaratskhelia: MV 6.57 ± 1.39; FV 8.01 + 4.51\n",
- "Milinkovic-Savic: MV 6.46 ± 1.31; FV 7.71 + 4.03\n",
- "Barella: MV 6.31 ± 1.12; FV 7.02 + 2.56\n",
- "Zielinski: MV 6.43 ± 1.11; FV 7.14 + 2.44\n",
- "Luis Alberto: MV 6.45 ± 1.16; FV 7.44 + 3.20\n",
- "Strefezza: MV 6.44 ± 1.14; FV 7.20 + 2.59\n",
- "Felipe Anderson: MV 6.38 ± 1.29; FV 7.57 + 3.83\n",
- "Koopmeiners: MV 6.39 ± 1.31; FV 7.51 + 3.67\n",
- "Calhanoglu: MV 6.23 ± 0.97; FV 6.68 + 1.84\n",
- "Frattesi: MV 6.18 ± 1.27; FV 7.04 + 3.08\n",
- "Diaz B.: MV 6.17 ± 1.13; FV 6.95 + 2.65\n",
- "Vlasic: MV 6.17 ± 1.06; FV 6.77 + 2.21\n",
- "Zambo Anguissa: MV 6.40 ± 1.11; FV 7.15 + 2.52\n",
- "Elmas: MV 6.37 ± 1.08; FV 7.21 + 2.72\n",
- "Miranchuk: MV 6.26 ± 1.14; FV 7.15 + 2.93\n",
- "Samardzic: MV 6.17 ± 0.97; FV 6.87 + 2.26\n",
- "Pereyra: MV 6.16 ± 1.05; FV 6.84 + 2.34\n",
- "Politano: MV 6.29 ± 0.92; FV 6.89 + 1.98\n",
- "Rabiot: MV 6.23 ± 1.27; FV 7.12 + 3.17\n",
- "Ciurria: MV 6.42 ± 1.16; FV 7.33 + 2.96\n",
- "Lazovic: MV 5.97 ± 1.07; FV 6.39 + 1.80\n",
- "Lobotka: MV 6.24 ± 0.82; FV 6.76 + 1.66\n",
- "Radonjic: MV 6.13 ± 0.89; FV 6.47 + 1.53\n",
- "Ferguson: MV 6.14 ± 0.92; FV 6.67 + 1.89\n",
- "Bonaventura: MV 6.15 ± 1.02; FV 6.82 + 2.25\n",
- "Pessina: MV 6.27 ± 0.93; FV 6.76 + 1.71\n",
- "Tonali: MV 6.05 ± 1.01; FV 6.37 + 1.68\n",
- "Kostic: MV 6.17 ± 1.06; FV 6.89 + 2.49\n",
- "Baldanzi: MV 6.21 ± 1.03; FV 6.94 + 2.46\n",
- "Lovric: MV 6.10 ± 0.80; FV 6.48 + 1.47\n",
- "Pellegrini Lo.: MV 6.23 ± 1.18; FV 7.11 + 2.94\n",
- "El Shaarawy: MV 6.34 ± 1.08; FV 7.07 + 2.53\n",
- "Orsolini: MV 6.18 ± 1.30; FV 7.08 + 3.26\n",
- "Ikone': MV 5.99 ± 1.04; FV 6.39 + 1.75\n",
- "Candreva: MV 6.00 ± 0.95; FV 6.28 + 1.47\n",
- "Bennacer: MV 6.01 ± 0.71; FV 6.17 + 0.99\n",
- "Pasalic: MV 6.06 ± 1.19; FV 6.80 + 2.64\n",
- "Mkhitaryan: MV 6.05 ± 0.85; FV 6.37 + 1.42\n",
- "Colpani: MV 6.23 ± 0.87; FV 6.79 + 1.89\n",
- "Pogba: MV 5.98 ± 0.78; FV 6.10 + 0.95\n",
- "Chiesa: MV 6.24 ± 1.16; FV 7.04 + 2.80\n",
- "Bandinelli: MV 5.86 ± 0.89; FV 6.19 + 1.49\n",
- "Matic: MV 6.13 ± 0.72; FV 6.35 + 1.04\n",
- "Fagioli: MV 6.18 ± 1.11; FV 7.03 + 2.77\n",
- "Messias: MV 5.95 ± 0.98; FV 6.27 + 1.56\n",
- "Arslan: MV 5.96 ± 0.72; FV 6.13 + 0.97\n",
- "Ricci S.: MV 6.15 ± 0.82; FV 6.47 + 1.36\n",
- "Ranocchia F.: MV 6.24 ± 0.86; FV 6.74 + 1.69\n",
- "Verdi: MV 6.00 ± 0.74; FV 6.16 + 1.04\n",
- "Sensi: MV 6.26 ± 1.06; FV 7.04 + 2.48\n",
- "Barak: MV 5.83 ± 0.86; FV 6.02 + 1.25\n",
- "Soriano: MV 5.99 ± 0.64; FV 6.05 + 0.74\n",
- "Dominguez: MV 6.05 ± 0.80; FV 6.26 + 1.18\n",
- "Vilhena: MV 5.81 ± 0.95; FV 6.14 + 1.54\n",
- "Brozovic: MV 6.12 ± 0.84; FV 6.46 + 1.40\n",
- "Cristante: MV 5.95 ± 0.70; FV 6.03 + 0.80\n",
- "Thorstvedt: MV 5.89 ± 0.80; FV 6.00 + 1.12\n",
- "De Ketelaere: MV 5.86 ± 0.69; FV 5.89 + 0.85\n",
- "Saponara: MV 6.01 ± 1.02; FV 6.46 + 1.80\n",
- "Vecino: MV 6.02 ± 0.80; FV 6.18 + 1.09\n",
- "Locatelli: MV 6.06 ± 0.67; FV 6.13 + 0.77\n",
- "Zaniolo: MV 5.93 ± 0.92; FV 6.17 + 1.33\n",
- "Duda: MV 5.77 ± 0.82; FV 5.83 + 0.93\n",
- "Maldini: MV 5.90 ± 0.77; FV 6.10 + 1.16\n",
- "Marin: MV 5.79 ± 1.00; FV 6.04 + 1.59\n",
- "Zalewski: MV 6.01 ± 0.56; FV 6.06 + 0.63\n",
- "Bajrami: MV 5.86 ± 0.89; FV 6.09 + 1.38\n",
- "Coulibaly L.: MV 5.85 ± 1.03; FV 6.05 + 1.47\n",
- "Gonzalez J.: MV 6.06 ± 0.84; FV 6.28 + 1.14\n",
- "De Roon: MV 5.96 ± 0.63; FV 5.92 + 0.56\n",
- "Mandragora: MV 5.92 ± 0.81; FV 6.07 + 1.12\n",
- "Wijnaldum: MV 5.98 ± 0.65; FV 5.99 + 0.64\n",
- "Bourabia: MV 5.71 ± 0.79; FV 5.81 + 0.94\n",
- "Sottil: MV 6.07 ± 1.05; FV 6.61 + 2.02\n",
- "Aebischer: MV 5.92 ± 0.87; FV 6.32 + 1.58\n",
- "Ederson D.s.: MV 5.85 ± 0.84; FV 6.00 + 1.16\n",
- "Miretti: MV 5.97 ± 0.64; FV 6.02 + 0.76\n",
- "Blin: MV 6.00 ± 0.51; FV 5.98 + 0.52\n",
- "Hjulmand: MV 6.08 ± 0.82; FV 6.14 + 0.85\n",
- "Cataldi: MV 6.03 ± 0.57; FV 6.01 + 0.56\n",
- "Djuricic: MV 5.68 ± 0.98; FV 6.09 + 1.63\n",
- "Linetty: MV 5.92 ± 0.83; FV 6.13 + 1.31\n",
- "Haas: MV 5.83 ± 0.78; FV 6.10 + 1.32\n",
- "Walace: MV 5.90 ± 0.64; FV 5.86 + 0.59\n",
- "Agudelo: MV 5.82 ± 0.57; FV 5.77 + 0.61\n",
- "Pobega: MV 5.94 ± 0.81; FV 6.10 + 1.16\n",
- "Camara Ma.: MV 6.13 ± 0.68; FV 6.27 + 0.88\n",
- "Paredes: MV 5.83 ± 0.65; FV 5.78 + 0.60\n",
- "Ndombele': MV 5.97 ± 0.52; FV 5.99 + 0.54\n",
- "Nicolussi Caviglia: MV 5.99 ± 0.88; FV 6.19 + 1.19\n",
- "Rovella: MV 6.12 ± 0.74; FV 6.24 + 0.85\n",
- "Amrabat: MV 5.89 ± 0.88; FV 5.91 + 0.93\n",
- "Tameze: MV 5.77 ± 0.76; FV 5.76 + 0.88\n",
- "Gyasi: MV 5.71 ± 0.90; FV 5.92 + 1.26\n",
- "Ilic: MV 5.97 ± 0.80; FV 6.02 + 0.89\n",
- "Matheus Henrique: MV 5.89 ± 0.74; FV 5.97 + 1.01\n",
- "Harroui: MV 5.84 ± 0.69; FV 5.91 + 0.95\n",
- "Volpato: MV 6.22 ± 1.08; FV 7.02 + 2.57\n",
- "Pickel: MV 5.82 ± 0.72; FV 5.94 + 1.00\n",
- "Moro N.: MV 5.96 ± 0.58; FV 5.99 + 0.63\n",
- "Duncan: MV 5.88 ± 0.65; FV 5.89 + 0.76\n",
- "Machin: MV 6.07 ± 0.74; FV 6.21 + 0.90\n",
- "Cuadrado: MV 6.03 ± 0.89; FV 6.33 + 1.35\n",
- "Ekdal: MV 5.66 ± 0.62; FV 5.66 + 0.62\n",
- "Meite': MV 5.83 ± 0.85; FV 5.96 + 1.07\n",
- "Schouten: MV 5.93 ± 0.67; FV 5.90 + 0.63\n",
- "Obiang: MV 5.92 ± 0.54; FV 5.88 + 0.54\n",
- "Kovalenko: MV 5.89 ± 0.61; FV 5.88 + 0.71\n",
- "Crnigoj: MV 5.92 ± 0.81; FV 6.14 + 1.21\n",
- "Basic: MV 6.00 ± 0.54; FV 6.02 + 0.64\n",
- "Asllani: MV 5.98 ± 0.56; FV 5.97 + 0.62\n",
- "Sabiri: MV 5.71 ± 0.90; FV 5.96 + 1.37\n",
- "Terracciano F.: MV 5.96 ± 0.51; FV 5.98 + 0.59\n",
- "Castagnetti: MV 5.94 ± 0.50; FV 5.92 + 0.53\n",
- "Oudin: MV 5.90 ± 0.58; FV 5.93 + 0.59\n",
- "Grassi: MV 5.88 ± 0.58; FV 5.82 + 0.54\n",
- "Krunic: MV 5.90 ± 0.66; FV 5.94 + 0.83\n",
- "Rincon: MV 5.68 ± 0.84; FV 5.65 + 0.87\n",
- "Miguel Veloso: MV 5.87 ± 0.64; FV 5.82 + 0.67\n",
- "Leris: MV 5.70 ± 0.76; FV 5.74 + 0.97\n",
- "Esposito Sa.: MV 5.66 ± 1.06; FV 5.70 + 1.22\n",
- "Henderson L.: MV 5.81 ± 0.71; FV 5.92 + 0.97\n",
- "Lopez M.: MV 5.91 ± 0.72; FV 5.90 + 0.88\n"
+ "Karsdorp: MV 5.88 ± 0.79; FV 5.90 + 0.74\n",
+ "Marchizza: MV 5.75 ± 0.76; FV 5.71 + 0.79\n",
+ "Kjaer: MV 5.87 ± 0.72; FV 5.83 + 0.63\n",
+ "Okoli: MV 5.59 ± 0.92; FV 5.53 + 0.89\n",
+ "Amione: MV 5.52 ± 0.85; FV 5.45 + 0.88\n",
+ "Ruggeri: MV 5.71 ± 0.65; FV 5.73 + 0.54\n",
+ "Zanoli: MV 5.70 ± 0.81; FV 5.63 + 0.83\n",
+ "Wisniewski: MV 5.95 ± 0.87; FV 6.00 + 1.03\n",
+ "Radovanovic: MV 5.68 ± 0.75; FV 5.60 + 0.71\n",
+ "Dermaku: MV 5.93 ± 0.88; FV 5.98 + 1.05\n",
+ "D'ambrosio: MV 6.16 ± 0.68; FV 6.39 + 1.11\n",
+ "De Silvestri: MV 5.95 ± 0.99; FV 6.14 + 1.46\n",
+ "Chiriches: MV 5.58 ± 1.22; FV 5.54 + 1.24\n",
+ "Murru: MV 5.50 ± 0.82; FV 5.44 + 0.84\n",
+ "Bonifazi: MV 5.83 ± 0.83; FV 5.74 + 0.82\n",
+ "Donati: MV 5.75 ± 0.89; FV 5.71 + 0.94\n",
+ "Walukiewicz: MV 5.91 ± 0.70; FV 5.91 + 0.62\n",
+ "Ranieri L.: MV 5.78 ± 0.85; FV 5.77 + 1.01\n",
+ "Gabbia: MV 5.65 ± 0.90; FV 5.57 + 0.87\n",
+ "Kumbulla: MV 5.87 ± 0.65; FV 5.90 + 0.56\n",
+ "Adopo: MV 5.75 ± 0.66; FV 5.66 + 0.67\n",
+ "Pirola: MV 5.63 ± 0.90; FV 5.54 + 0.92\n",
+ "Lovato: MV 5.73 ± 1.03; FV 5.63 + 1.05\n",
+ "Tuia: MV 5.80 ± 0.90; FV 5.82 + 1.11\n",
+ "Ferrer: MV 5.90 ± 0.89; FV 5.90 + 0.98\n",
+ "Antov: MV 5.69 ± 1.06; FV 5.66 + 1.13\n",
+ "Vasquez: MV 5.62 ± 1.00; FV 5.60 + 1.12\n",
+ "Ruan: MV 5.70 ± 1.07; FV 5.55 + 1.00\n",
+ "Ostigard: MV 6.13 ± 0.64; FV 6.09 + 0.68\n",
+ "Coppola D.: MV 5.80 ± 0.74; FV 5.71 + 0.73\n",
+ "Cacace: MV 5.94 ± 0.72; FV 5.90 + 0.63\n",
+ "Gatti: MV 5.95 ± 0.77; FV 5.93 + 0.72\n",
+ "Gila: MV 5.90 ± 0.88; FV 5.89 + 0.95\n",
+ "Bayeye: MV 5.91 ± 0.99; FV 6.03 + 1.38\n",
+ "Sambia: MV 5.83 ± 0.80; FV 5.83 + 0.79\n",
+ "Moutinho J.: MV 5.79 ± 0.81; FV 5.72 + 0.84\n",
+ "Conti: MV 5.79 ± 0.90; FV 5.84 + 1.12\n",
+ "Marrone: MV 5.55 ± 0.92; FV 5.47 + 0.95\n",
+ "Tonelli: MV 5.88 ± 0.76; FV 5.83 + 0.67\n",
+ "Murillo: MV 5.54 ± 0.73; FV 5.44 + 0.72\n",
+ "Radu: MV 6.05 ± 0.74; FV 5.91 + 0.63\n",
+ "Paletta: MV 5.84 ± 0.94; FV 5.88 + 1.14\n",
+ "Florenzi: MV 6.15 ± 0.83; FV 6.39 + 1.19\n",
+ "Sala: MV 5.93 ± 0.73; FV 5.95 + 0.78\n",
+ "Fares: MV 5.79 ± 0.80; FV 5.78 + 0.93\n",
+ "Romagna: MV 5.82 ± 0.98; FV 5.84 + 1.22\n",
+ "Cassandro: MV 5.92 ± 0.87; FV 5.99 + 1.06\n",
+ "Muldur: MV 5.69 ± 0.86; FV 5.65 + 0.94\n",
+ "Amey: MV 6.04 ± 0.87; FV 6.12 + 1.04\n",
+ "Zanotti: MV 6.10 ± 0.81; FV 6.27 + 1.07\n",
+ "Ebosele: MV 6.03 ± 0.66; FV 5.99 + 0.59\n",
+ "Buta: MV 5.95 ± 0.86; FV 5.97 + 0.90\n",
+ "Abankwah: MV 5.95 ± 0.86; FV 5.97 + 0.90\n",
+ "Guessand A.: MV 5.95 ± 0.86; FV 5.97 + 0.90\n",
+ "Cabal: MV 6.00 ± 0.89; FV 6.09 + 1.07\n",
+ "Sosa: MV 5.76 ± 0.96; FV 5.75 + 1.10\n",
+ "Guarino: MV 6.06 ± 0.81; FV 6.19 + 1.00\n",
+ "Carboni F.: MV 5.90 ± 0.92; FV 5.97 + 1.06\n",
+ "Zaccagni: MV 6.40 ± 1.33; FV 7.40 + 3.24\n",
+ "Kvaratskhelia: MV 6.64 ± 1.45; FV 7.60 + 3.27\n",
+ "Milinkovic-Savic: MV 6.28 ± 1.28; FV 7.06 + 2.80\n",
+ "Barella: MV 6.38 ± 1.15; FV 7.20 + 2.56\n",
+ "Zielinski: MV 6.41 ± 1.10; FV 7.17 + 2.38\n",
+ "Luis Alberto: MV 6.31 ± 1.08; FV 7.02 + 2.29\n",
+ "Strefezza: MV 6.29 ± 0.94; FV 7.09 + 2.28\n",
+ "Felipe Anderson: MV 6.19 ± 1.25; FV 7.02 + 2.81\n",
+ "Koopmeiners: MV 6.12 ± 1.16; FV 6.75 + 2.37\n",
+ "Calhanoglu: MV 6.33 ± 0.99; FV 7.01 + 2.14\n",
+ "Frattesi: MV 6.10 ± 1.20; FV 6.77 + 2.47\n",
+ "Diaz B.: MV 6.14 ± 1.19; FV 6.89 + 2.56\n",
+ "Vlasic: MV 6.13 ± 1.16; FV 6.76 + 2.27\n",
+ "Zambo Anguissa: MV 6.40 ± 1.11; FV 7.13 + 2.35\n",
+ "Elmas: MV 6.36 ± 1.08; FV 7.09 + 2.28\n",
+ "Miranchuk: MV 6.21 ± 1.21; FV 6.93 + 2.46\n",
+ "Samardzic: MV 6.22 ± 1.05; FV 6.86 + 2.14\n",
+ "Pereyra: MV 6.25 ± 1.09; FV 6.88 + 2.22\n",
+ "Politano: MV 6.29 ± 0.89; FV 6.98 + 2.05\n",
+ "Rabiot: MV 6.22 ± 1.12; FV 6.85 + 2.23\n",
+ "Ciurria: MV 6.04 ± 1.16; FV 6.67 + 2.38\n",
+ "Lazovic: MV 6.27 ± 1.15; FV 6.95 + 2.31\n",
+ "Lobotka: MV 6.18 ± 0.69; FV 6.65 + 1.51\n",
+ "Radonjic: MV 6.13 ± 1.00; FV 6.64 + 1.82\n",
+ "Ferguson: MV 6.23 ± 0.94; FV 6.81 + 1.94\n",
+ "Bonaventura: MV 6.09 ± 0.96; FV 6.40 + 1.49\n",
+ "Pessina: MV 6.11 ± 1.09; FV 6.64 + 2.05\n",
+ "Tonali: MV 6.10 ± 1.09; FV 6.54 + 1.91\n",
+ "Kostic: MV 6.20 ± 0.99; FV 6.77 + 1.94\n",
+ "Baldanzi: MV 6.40 ± 1.07; FV 7.27 + 2.53\n",
+ "Lovric: MV 6.13 ± 0.76; FV 6.48 + 1.30\n",
+ "Pellegrini Lo.: MV 6.06 ± 1.17; FV 6.66 + 2.28\n",
+ "El Shaarawy: MV 6.19 ± 0.97; FV 6.84 + 2.00\n",
+ "Orsolini: MV 6.29 ± 1.36; FV 7.26 + 3.30\n",
+ "Ikone': MV 6.04 ± 1.10; FV 6.46 + 1.92\n",
+ "Candreva: MV 6.05 ± 1.14; FV 6.45 + 1.98\n",
+ "Bennacer: MV 6.14 ± 0.83; FV 6.43 + 1.25\n",
+ "Pasalic: MV 5.91 ± 1.01; FV 6.31 + 1.73\n",
+ "Mkhitaryan: MV 6.16 ± 0.90; FV 6.68 + 1.69\n",
+ "Colpani: MV 5.96 ± 0.87; FV 6.43 + 1.75\n",
+ "Pogba: MV 6.04 ± 0.83; FV 6.19 + 1.04\n",
+ "Chiesa: MV 6.19 ± 0.98; FV 6.69 + 1.81\n",
+ "Bandinelli: MV 6.06 ± 0.80; FV 6.39 + 1.28\n",
+ "Matic: MV 6.12 ± 0.78; FV 6.38 + 1.15\n",
+ "Fagioli: MV 6.19 ± 0.96; FV 6.75 + 1.86\n",
+ "Messias: MV 5.95 ± 1.07; FV 6.32 + 1.84\n",
+ "Arslan: MV 6.01 ± 0.70; FV 6.10 + 0.79\n",
+ "Ricci S.: MV 6.17 ± 0.91; FV 6.52 + 1.49\n",
+ "Ranocchia F.: MV 6.01 ± 0.92; FV 6.43 + 1.65\n",
+ "Verdi: MV 6.17 ± 0.84; FV 6.66 + 1.63\n",
+ "Sensi: MV 6.00 ± 1.10; FV 6.41 + 1.95\n",
+ "Barak: MV 5.83 ± 0.84; FV 5.97 + 1.20\n",
+ "Soriano: MV 6.04 ± 0.74; FV 6.20 + 1.02\n",
+ "Dominguez: MV 6.23 ± 1.09; FV 6.81 + 2.17\n",
+ "Vilhena: MV 5.86 ± 1.00; FV 6.11 + 1.54\n",
+ "Brozovic: MV 6.22 ± 0.82; FV 6.67 + 1.59\n",
+ "Cristante: MV 5.95 ± 0.85; FV 6.09 + 1.06\n",
+ "Thorstvedt: MV 5.87 ± 0.89; FV 6.06 + 1.30\n",
+ "De Ketelaere: MV 5.82 ± 0.79; FV 5.88 + 0.90\n",
+ "Saponara: MV 6.09 ± 1.12; FV 6.49 + 1.89\n",
+ "Vecino: MV 5.90 ± 0.89; FV 6.01 + 1.22\n",
+ "Locatelli: MV 6.09 ± 0.70; FV 6.20 + 0.87\n",
+ "Zaniolo: MV 5.91 ± 1.00; FV 6.18 + 1.59\n",
+ "Duda: MV 6.08 ± 0.87; FV 6.26 + 1.17\n",
+ "Maldini: MV 5.96 ± 0.88; FV 6.24 + 1.39\n",
+ "Marin: MV 6.08 ± 0.99; FV 6.44 + 1.63\n",
+ "Zalewski: MV 6.01 ± 0.68; FV 6.11 + 0.74\n",
+ "Bajrami: MV 6.11 ± 1.12; FV 6.70 + 2.19\n",
+ "Coulibaly L.: MV 5.94 ± 1.15; FV 6.22 + 1.79\n",
+ "Gonzalez J.: MV 6.04 ± 0.84; FV 6.27 + 1.26\n",
+ "De Roon: MV 5.91 ± 0.75; FV 5.93 + 0.77\n",
+ "Mandragora: MV 5.91 ± 0.88; FV 5.98 + 1.16\n",
+ "Wijnaldum: MV 5.93 ± 0.91; FV 6.01 + 1.05\n",
+ "Bourabia: MV 5.96 ± 0.78; FV 5.98 + 0.84\n",
+ "Sottil: MV 6.07 ± 1.11; FV 6.45 + 1.84\n",
+ "Aebischer: MV 6.02 ± 0.85; FV 6.30 + 1.39\n",
+ "Ederson D.s.: MV 5.82 ± 0.79; FV 5.90 + 0.99\n",
+ "Miretti: MV 6.03 ± 0.72; FV 6.18 + 0.90\n",
+ "Blin: MV 6.01 ± 0.64; FV 5.99 + 0.59\n",
+ "Hjulmand: MV 5.98 ± 1.07; FV 6.04 + 1.21\n",
+ "Cataldi: MV 5.99 ± 0.79; FV 6.00 + 0.83\n",
+ "Djuricic: MV 5.72 ± 0.90; FV 5.81 + 1.17\n",
+ "Linetty: MV 5.96 ± 0.88; FV 6.12 + 1.28\n",
+ "Haas: MV 6.02 ± 0.75; FV 6.27 + 1.11\n",
+ "Walace: MV 5.92 ± 0.74; FV 5.88 + 0.68\n",
+ "Agudelo: MV 5.89 ± 0.70; FV 5.91 + 0.72\n",
+ "Pobega: MV 6.00 ± 0.88; FV 6.28 + 1.30\n",
+ "Camara Ma.: MV 6.12 ± 0.70; FV 6.17 + 0.81\n",
+ "Paredes: MV 5.87 ± 0.68; FV 5.86 + 0.57\n",
+ "Ndombele': MV 6.05 ± 0.65; FV 5.99 + 0.58\n",
+ "Nicolussi Caviglia: MV 5.87 ± 1.19; FV 6.24 + 1.99\n",
+ "Rovella: MV 5.91 ± 0.95; FV 5.92 + 0.95\n",
+ "Amrabat: MV 5.87 ± 0.89; FV 5.84 + 0.96\n",
+ "Tameze: MV 5.96 ± 0.79; FV 6.03 + 0.94\n",
+ "Gyasi: MV 5.89 ± 1.01; FV 6.04 + 1.49\n",
+ "Ilic: MV 6.00 ± 0.99; FV 6.23 + 1.48\n",
+ "Matheus Henrique: MV 5.89 ± 0.84; FV 6.03 + 1.16\n",
+ "Harroui: MV 5.84 ± 0.80; FV 6.00 + 1.16\n",
+ "Volpato: MV 6.02 ± 1.11; FV 6.60 + 2.21\n",
+ "Pickel: MV 5.67 ± 0.80; FV 5.70 + 0.89\n",
+ "Moro N.: MV 6.05 ± 0.66; FV 6.12 + 0.78\n",
+ "Duncan: MV 5.88 ± 0.76; FV 5.92 + 0.90\n",
+ "Machin: MV 5.86 ± 0.94; FV 5.94 + 1.23\n",
+ "Cuadrado: MV 6.04 ± 0.88; FV 6.19 + 1.10\n",
+ "Ekdal: MV 5.82 ± 0.71; FV 5.77 + 0.71\n",
+ "Meite': MV 5.73 ± 1.03; FV 5.76 + 1.28\n",
+ "Schouten: MV 6.01 ± 0.78; FV 6.02 + 0.84\n",
+ "Obiang: MV 5.91 ± 0.65; FV 5.93 + 0.64\n",
+ "Kovalenko: MV 5.97 ± 0.77; FV 6.07 + 0.95\n",
+ "Crnigoj: MV 5.93 ± 0.89; FV 6.10 + 1.23\n",
+ "Basic: MV 5.95 ± 0.67; FV 6.02 + 0.73\n",
+ "Asllani: MV 6.07 ± 0.63; FV 6.08 + 0.65\n",
+ "Sabiri: MV 5.76 ± 0.84; FV 5.80 + 1.04\n",
+ "Terracciano F.: MV 6.09 ± 0.63; FV 6.13 + 0.72\n",
+ "Castagnetti: MV 5.72 ± 0.70; FV 5.70 + 0.67\n",
+ "Oudin: MV 5.82 ± 0.65; FV 5.86 + 0.60\n",
+ "Grassi: MV 6.04 ± 0.67; FV 6.00 + 0.62\n",
+ "Krunic: MV 5.89 ± 0.76; FV 5.95 + 0.78\n",
+ "Rincon: MV 5.68 ± 0.79; FV 5.60 + 0.85\n",
+ "Miguel Veloso: MV 6.01 ± 0.72; FV 6.05 + 0.79\n",
+ "Leris: MV 5.70 ± 0.76; FV 5.66 + 0.87\n",
+ "Esposito Sa.: MV 5.92 ± 0.95; FV 5.97 + 1.10\n",
+ "Henderson L.: MV 6.01 ± 0.71; FV 6.16 + 0.90\n",
+ "Lopez M.: MV 5.85 ± 0.90; FV 5.84 + 1.09\n",
+ "Cuisance: MV 5.70 ± 0.72; FV 5.64 + 0.74\n",
+ "Saelemaekers: MV 5.82 ± 0.78; FV 5.89 + 0.82\n",
+ "Maggiore: MV 5.93 ± 0.81; FV 6.08 + 1.06\n",
+ "Akpa Akpro: MV 6.05 ± 0.82; FV 6.20 + 1.05\n",
+ "Maleh: MV 5.95 ± 0.74; FV 6.10 + 0.99\n",
+ "Romero L.: MV 6.14 ± 1.06; FV 6.71 + 2.08\n",
+ "Ceide: MV 5.80 ± 0.71; FV 5.83 + 0.73\n",
+ "D'alessandro: MV 6.02 ± 0.67; FV 6.10 + 0.74\n",
+ "Benassi: MV 5.71 ± 0.73; FV 5.75 + 0.81\n",
+ "Gagliardini: MV 5.97 ± 0.63; FV 6.02 + 0.62\n",
+ "Vieira: MV 5.87 ± 0.73; FV 5.91 + 0.98\n",
+ "Bianco: MV 6.00 ± 0.85; FV 6.07 + 1.01\n",
+ "Vranckx: MV 6.07 ± 0.74; FV 6.21 + 0.88\n",
+ "Galdames: MV 5.76 ± 1.04; FV 5.84 + 1.35\n",
+ "Marcos Antonio: MV 5.94 ± 0.61; FV 5.92 + 0.51\n",
+ "Fazzini: MV 5.87 ± 0.63; FV 5.86 + 0.54\n",
+ "Sulemana I.: MV 5.93 ± 0.64; FV 5.95 + 0.62\n",
+ "Tahirovic: MV 5.96 ± 0.60; FV 5.97 + 0.50\n",
+ "Abildgaard: MV 5.97 ± 0.85; FV 6.05 + 1.06\n",
+ "Barberis: MV 5.87 ± 0.98; FV 5.92 + 1.14\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Cuisance: MV 5.71 ± 0.71; FV 5.69 + 0.79\n",
- "Saelemaekers: MV 5.89 ± 0.65; FV 5.89 + 0.79\n",
- "Maggiore: MV 5.91 ± 0.57; FV 5.90 + 0.64\n",
- "Akpa Akpro: MV 5.80 ± 0.85; FV 5.84 + 1.02\n",
- "Maleh: MV 5.98 ± 0.66; FV 6.06 + 0.81\n",
- "Romero L.: MV 6.17 ± 1.15; FV 6.95 + 2.78\n",
- "Ceide: MV 5.93 ± 0.63; FV 5.94 + 0.66\n",
- "D'alessandro: MV 6.05 ± 0.52; FV 6.17 + 0.73\n",
- "Benassi: MV 5.86 ± 0.59; FV 5.87 + 0.70\n",
- "Gagliardini: MV 5.92 ± 0.48; FV 5.86 + 0.51\n",
- "Vieira: MV 5.64 ± 0.76; FV 5.67 + 0.92\n",
- "Bianco: MV 5.96 ± 0.70; FV 5.99 + 0.73\n",
- "Vranckx: MV 5.96 ± 0.74; FV 5.98 + 0.81\n",
- "Galdames: MV 5.96 ± 0.76; FV 6.02 + 0.83\n",
- "Marcos Antonio: MV 5.98 ± 0.45; FV 5.94 + 0.46\n",
- "Fazzini: MV 5.78 ± 0.57; FV 5.67 + 0.54\n",
- "Sulemana I.: MV 5.81 ± 0.57; FV 5.81 + 0.61\n",
- "Tahirovic: MV 5.99 ± 0.49; FV 5.99 + 0.52\n",
- "Abildgaard: MV 5.72 ± 0.83; FV 5.78 + 0.95\n",
- "Barberis: MV 5.93 ± 0.60; FV 5.92 + 0.57\n",
- "Kastanos: MV 5.87 ± 0.51; FV 5.79 + 0.51\n",
- "Vignato: MV 5.86 ± 0.57; FV 5.83 + 0.57\n",
- "Valoti: MV 5.96 ± 0.55; FV 5.96 + 0.53\n",
- "Winks: MV 5.81 ± 1.03; FV 5.94 + 1.29\n",
- "Askildsen: MV 5.71 ± 0.55; FV 5.71 + 0.56\n",
- "Bove: MV 6.02 ± 0.64; FV 6.03 + 0.64\n",
- "Bohinen: MV 5.80 ± 0.50; FV 5.71 + 0.48\n",
- "D'andrea: MV 5.99 ± 0.68; FV 6.13 + 0.94\n",
- "Iling-Junior: MV 6.00 ± 0.65; FV 6.01 + 0.68\n",
- "Cipot: MV 5.65 ± 0.91; FV 5.74 + 1.07\n",
- "Bakayoko: MV 5.66 ± 0.79; FV 5.56 + 0.76\n",
- "Gaetano: MV 6.06 ± 0.68; FV 6.15 + 0.79\n",
- "Zurkowski: MV 5.93 ± 0.85; FV 6.10 + 1.17\n",
- "Castrovilli: MV 6.03 ± 0.94; FV 6.45 + 1.65\n",
- "Demme: MV 6.15 ± 0.88; FV 6.71 + 1.87\n",
- "Darboe: MV 5.96 ± 0.68; FV 5.95 + 0.62\n",
- "Urbanski: MV 5.96 ± 0.79; FV 6.01 + 0.88\n",
- "Bertini: MV 6.04 ± 0.76; FV 6.12 + 0.88\n",
- "Yepes: MV 5.66 ± 0.90; FV 5.62 + 0.88\n",
- "Pyyhtia: MV 5.94 ± 0.97; FV 6.06 + 1.21\n",
- "Trimboli: MV 5.83 ± 0.96; FV 5.96 + 1.23\n",
- "Pafundi: MV 5.84 ± 0.90; FV 5.88 + 0.99\n",
- "Helgason: MV 5.76 ± 0.60; FV 5.75 + 0.57\n",
- "Adli: MV 5.76 ± 0.74; FV 5.76 + 0.88\n",
- "Vignato S.: MV 6.04 ± 0.58; FV 6.10 + 0.67\n",
- "Hrustic: MV 5.68 ± 0.60; FV 5.59 + 0.59\n",
- "Samek: MV 5.95 ± 0.74; FV 6.02 + 0.77\n",
- "Zerbin: MV 6.07 ± 0.69; FV 6.21 + 0.86\n",
- "Ilkhan: MV 5.78 ± 1.00; FV 5.86 + 1.17\n",
- "Degli Innocenti: MV 5.78 ± 0.92; FV 5.84 + 1.13\n",
- "Acella: MV 5.96 ± 0.76; FV 6.02 + 0.83\n",
- "Carboni V.: MV 5.98 ± 0.82; FV 6.13 + 1.13\n",
- "Paoletti: MV 5.99 ± 0.87; FV 6.05 + 0.92\n",
- "Malagrida: MV 5.88 ± 0.92; FV 5.98 + 1.14\n",
- "Faticanti: MV 5.95 ± 0.68; FV 5.96 + 0.68\n",
- "Osimhen: MV 6.55 ± 1.42; FV 8.32 + 5.48\n",
- "Martinez L.: MV 6.46 ± 1.41; FV 7.85 + 4.51\n",
- "Dybala: MV 6.54 ± 1.37; FV 8.00 + 4.54\n",
- "Rafael Leao: MV 6.37 ± 1.44; FV 7.70 + 4.50\n",
- "Lookman: MV 6.49 ± 1.41; FV 8.06 + 4.94\n",
- "Immobile: MV 6.50 ± 1.42; FV 8.00 + 4.85\n",
- "Vlahovic: MV 6.37 ± 1.48; FV 7.78 + 4.61\n",
- "Arnautovic: MV 6.33 ± 1.35; FV 7.59 + 4.02\n",
- "Dia: MV 6.23 ± 1.42; FV 7.56 + 4.18\n",
- "Dzeko: MV 6.34 ± 1.38; FV 7.55 + 3.97\n",
- "Milik: MV 6.41 ± 1.35; FV 7.71 + 4.21\n",
- "Nzola: MV 6.12 ± 1.31; FV 7.15 + 3.37\n",
- "Beto: MV 6.10 ± 1.20; FV 7.01 + 2.97\n",
- "Giroud: MV 6.17 ± 1.36; FV 7.13 + 3.42\n",
- "Abraham: MV 6.37 ± 1.37; FV 7.67 + 4.17\n",
- "Deulofeu: MV 6.34 ± 1.25; FV 7.42 + 3.56\n",
- "Lauriente': MV 6.29 ± 1.36; FV 7.40 + 3.81\n",
- "Simeone: MV 6.45 ± 1.39; FV 7.82 + 4.38\n",
- "Lozano: MV 6.37 ± 1.21; FV 7.46 + 3.41\n",
- "Correa: MV 6.17 ± 0.94; FV 6.76 + 2.16\n",
- "Berardi: MV 6.40 ± 1.43; FV 7.73 + 4.50\n",
- "Pedro: MV 6.29 ± 1.16; FV 7.22 + 3.10\n",
- "Lukaku: MV 6.03 ± 1.14; FV 6.63 + 2.29\n",
- "Sanabria: MV 6.12 ± 1.11; FV 6.86 + 2.57\n",
- "Thauvin: MV 6.40 ± 1.24; FV 7.60 + 3.79\n",
- "Cabral: MV 6.05 ± 1.11; FV 6.79 + 2.50\n",
- "Hojlund: MV 6.21 ± 1.32; FV 7.40 + 3.71\n",
- "Caprari: MV 6.32 ± 1.12; FV 7.31 + 3.08\n",
- "Di Maria: MV 6.43 ± 1.38; FV 7.73 + 4.31\n",
- "Piatek: MV 5.98 ± 1.24; FV 6.89 + 2.88\n",
- "Rebic: MV 6.09 ± 1.25; FV 6.91 + 2.88\n",
- "Bonazzoli: MV 6.00 ± 0.98; FV 6.44 + 1.80\n",
- "Zapata D.: MV 6.04 ± 1.15; FV 6.74 + 2.49\n",
- "Kouame': MV 6.06 ± 1.10; FV 6.67 + 2.25\n",
- "Gonzalez N.: MV 6.33 ± 1.26; FV 7.40 + 3.60\n",
- "Brekalo: MV 6.11 ± 1.11; FV 6.89 + 2.62\n",
- "Mota: MV 6.37 ± 1.29; FV 7.63 + 3.87\n",
- "Kean: MV 6.18 ± 1.32; FV 7.13 + 3.32\n",
- "Okereke: MV 6.07 ± 1.11; FV 6.75 + 2.44\n",
- "Ceesay: MV 6.10 ± 1.10; FV 6.83 + 2.46\n",
- "Colombo: MV 6.20 ± 1.30; FV 7.34 + 3.62\n",
- "Dessers: MV 6.08 ± 1.02; FV 6.63 + 2.08\n",
- "Muriel: MV 6.26 ± 1.35; FV 7.38 + 3.75\n",
- "Pinamonti: MV 5.80 ± 1.03; FV 6.19 + 1.70\n",
- "Di Francesco F.: MV 6.12 ± 1.10; FV 6.84 + 2.49\n",
- "Jovic: MV 5.84 ± 1.10; FV 6.39 + 2.05\n",
- "Origi: MV 5.91 ± 1.05; FV 6.31 + 1.74\n",
- "Caputo: MV 6.01 ± 1.13; FV 6.78 + 2.59\n",
- "Boga: MV 6.49 ± 1.27; FV 7.74 + 3.94\n",
- "Cambiaghi: MV 6.00 ± 0.89; FV 6.46 + 1.77\n",
- "Alvarez A.: MV 5.98 ± 1.03; FV 6.42 + 1.88\n",
- "Banda: MV 6.05 ± 0.73; FV 6.22 + 0.98\n",
- "Ciofani D.: MV 6.11 ± 1.06; FV 6.88 + 2.56\n",
- "Petagna: MV 6.10 ± 0.91; FV 6.45 + 1.56\n",
- "Barrow: MV 5.97 ± 1.13; FV 6.74 + 2.58\n",
- "Djuric: MV 5.92 ± 0.69; FV 6.04 + 1.02\n",
- "Henry: MV 5.74 ± 1.00; FV 6.11 + 1.61\n",
- "Success: MV 5.92 ± 0.66; FV 6.00 + 0.93\n",
- "Gabbiadini: MV 5.78 ± 1.04; FV 6.27 + 1.85\n",
- "Zirkzee: MV 6.00 ± 0.98; FV 6.54 + 2.02\n",
- "Lammers: MV 5.75 ± 0.90; FV 6.05 + 1.36\n",
- "Satriano: MV 5.78 ± 0.88; FV 6.05 + 1.34\n",
- "Kallon: MV 5.81 ± 0.91; FV 6.13 + 1.44\n",
- "Nestorovski: MV 6.07 ± 0.84; FV 6.50 + 1.73\n",
- "Raspadori: MV 6.17 ± 1.02; FV 6.92 + 2.52\n",
- "Botheim: MV 5.83 ± 0.96; FV 6.23 + 1.62\n",
- "Gytkjaer: MV 6.03 ± 0.82; FV 6.33 + 1.50\n",
- "Solbakken: MV 6.04 ± 0.74; FV 6.16 + 0.86\n",
- "Lasagna: MV 5.72 ± 0.86; FV 5.91 + 1.18\n",
- "Belotti: MV 5.72 ± 0.57; FV 5.78 + 0.62\n",
- "Pellegri: MV 5.85 ± 0.83; FV 6.18 + 1.44\n",
- "Buonaiuto: MV 6.00 ± 0.72; FV 6.13 + 0.95\n",
- "Verde: MV 5.90 ± 0.93; FV 6.29 + 1.62\n",
- "Destro: MV 5.86 ± 1.16; FV 6.68 + 2.60\n",
- "Seck: MV 6.04 ± 0.60; FV 6.12 + 0.76\n",
- "Sansone: MV 5.90 ± 0.92; FV 6.27 + 1.58\n",
- "Quagliarella: MV 5.80 ± 0.80; FV 6.03 + 1.25\n",
- "Defrel: MV 5.75 ± 0.92; FV 6.06 + 1.44\n",
- "Pjaca: MV 5.77 ± 0.84; FV 6.00 + 1.22\n",
- "Gaich: MV 5.70 ± 1.02; FV 6.06 + 1.56\n",
- "Soule': MV 6.12 ± 0.64; FV 6.28 + 0.91\n",
- "Tsadjout: MV 5.94 ± 0.89; FV 6.23 + 1.45\n",
- "Piccoli: MV 5.77 ± 0.56; FV 5.81 + 0.71\n",
- "Shomurodov: MV 5.90 ± 0.88; FV 6.24 + 1.52\n",
- "Afena-Gyan: MV 5.69 ± 0.63; FV 5.75 + 0.73\n",
- "Ngonge: MV 5.71 ± 0.78; FV 5.76 + 0.94\n",
- "Karamoh: MV 5.90 ± 0.63; FV 5.93 + 0.76\n",
- "Ibrahimovic: MV 6.29 ± 1.29; FV 7.43 + 3.64\n",
- "Pussetto: MV 5.84 ± 1.02; FV 6.23 + 1.67\n",
- "Cancellieri: MV 5.88 ± 0.49; FV 5.85 + 0.53\n",
- "Valencia D.: MV 5.76 ± 0.54; FV 5.81 + 0.74\n",
- "Oddei: MV 5.89 ± 0.77; FV 5.93 + 0.97\n",
- "Braaf: MV 5.73 ± 0.87; FV 5.89 + 1.22\n",
- "Raimondo: MV 5.94 ± 0.82; FV 6.04 + 1.04\n",
- "Kaio Jorge: MV 5.89 ± 0.56; FV 5.90 + 0.63\n",
- "De Luca: MV 5.79 ± 0.98; FV 5.98 + 1.39\n",
- "Voelkerling Persson: MV 6.02 ± 0.68; FV 6.11 + 0.74\n",
- "Montevago: MV 5.75 ± 0.86; FV 5.85 + 1.01\n",
- "Krollis: MV 5.66 ± 0.89; FV 5.75 + 1.10\n",
- "Vivaldo: MV 5.81 ± 0.89; FV 5.88 + 1.10\n"
+ "Kastanos: MV 5.82 ± 0.69; FV 5.83 + 0.69\n",
+ "Vignato: MV 6.05 ± 0.68; FV 6.09 + 0.71\n",
+ "Valoti: MV 5.72 ± 0.67; FV 5.66 + 0.65\n",
+ "Winks: MV 5.79 ± 1.00; FV 5.78 + 1.19\n",
+ "Askildsen: MV 5.72 ± 0.64; FV 5.69 + 0.58\n",
+ "Bove: MV 5.73 ± 0.74; FV 5.74 + 0.82\n",
+ "Bohinen: MV 5.75 ± 0.62; FV 5.73 + 0.52\n",
+ "D'andrea: MV 5.89 ± 0.78; FV 6.05 + 1.09\n",
+ "Iling-Junior: MV 6.09 ± 0.69; FV 6.25 + 0.94\n",
+ "Cipot: MV 5.97 ± 0.96; FV 6.08 + 1.23\n",
+ "Bakayoko: MV 5.82 ± 0.76; FV 5.79 + 0.68\n",
+ "Gaetano: MV 6.05 ± 0.74; FV 6.09 + 0.81\n",
+ "Zurkowski: MV 6.18 ± 1.08; FV 6.69 + 2.04\n",
+ "Castrovilli: MV 6.01 ± 0.90; FV 6.23 + 1.34\n",
+ "Demme: MV 6.07 ± 0.65; FV 6.24 + 0.90\n",
+ "Darboe: MV 5.95 ± 0.90; FV 5.99 + 0.94\n",
+ "Urbanski: MV 6.00 ± 0.88; FV 6.09 + 1.10\n",
+ "Bertini: MV 5.93 ± 0.93; FV 6.01 + 1.20\n",
+ "Yepes: MV 5.71 ± 1.15; FV 5.69 + 1.29\n",
+ "Pyyhtia: MV 6.02 ± 0.76; FV 6.06 + 0.87\n",
+ "Trimboli: MV 5.78 ± 0.94; FV 5.77 + 1.15\n",
+ "Pafundi: MV 5.92 ± 0.85; FV 5.93 + 0.88\n",
+ "Helgason: MV 5.80 ± 0.62; FV 5.80 + 0.54\n",
+ "Adli: MV 5.87 ± 0.77; FV 5.93 + 0.83\n",
+ "Vignato S.: MV 5.95 ± 0.91; FV 6.06 + 1.08\n",
+ "Hrustic: MV 5.80 ± 0.74; FV 5.78 + 0.72\n",
+ "Samek: MV 5.94 ± 0.86; FV 6.01 + 1.06\n",
+ "Zerbin: MV 6.10 ± 0.74; FV 6.18 + 0.90\n",
+ "Ilkhan: MV 5.85 ± 1.06; FV 5.92 + 1.34\n",
+ "Degli Innocenti: MV 6.04 ± 0.81; FV 6.17 + 0.99\n",
+ "Acella: MV 5.76 ± 1.04; FV 5.84 + 1.35\n",
+ "Carboni V.: MV 6.01 ± 0.84; FV 6.13 + 1.00\n",
+ "Paoletti: MV 5.97 ± 0.87; FV 6.05 + 1.08\n",
+ "Malagrida: MV 5.80 ± 0.95; FV 5.80 + 1.17\n",
+ "Faticanti: MV 5.95 ± 0.89; FV 6.06 + 1.04\n",
+ "Osimhen: MV 6.59 ± 1.51; FV 7.92 + 4.46\n",
+ "Martinez L.: MV 6.47 ± 1.44; FV 7.71 + 3.99\n",
+ "Dybala: MV 6.43 ± 1.34; FV 7.49 + 3.41\n",
+ "Rafael Leao: MV 6.29 ± 1.39; FV 7.41 + 3.60\n",
+ "Lookman: MV 6.25 ± 1.40; FV 7.54 + 3.85\n",
+ "Immobile: MV 6.29 ± 1.43; FV 7.63 + 4.01\n",
+ "Vlahovic: MV 6.39 ± 1.45; FV 7.75 + 4.21\n",
+ "Arnautovic: MV 6.28 ± 1.35; FV 7.45 + 3.62\n",
+ "Dia: MV 6.18 ± 1.41; FV 7.42 + 3.75\n",
+ "Dzeko: MV 6.30 ± 1.36; FV 7.47 + 3.65\n",
+ "Milik: MV 6.36 ± 1.24; FV 7.27 + 2.98\n",
+ "Nzola: MV 6.14 ± 1.34; FV 7.26 + 3.45\n",
+ "Beto: MV 6.15 ± 1.23; FV 7.09 + 2.99\n",
+ "Giroud: MV 6.13 ± 1.26; FV 6.97 + 2.88\n",
+ "Abraham: MV 6.12 ± 1.30; FV 7.28 + 3.46\n",
+ "Deulofeu: MV 6.38 ± 1.28; FV 7.28 + 2.98\n",
+ "Lauriente': MV 6.20 ± 1.35; FV 7.06 + 3.08\n",
+ "Simeone: MV 6.38 ± 1.43; FV 7.68 + 4.03\n",
+ "Lozano: MV 6.35 ± 1.22; FV 7.12 + 2.50\n",
+ "Correa: MV 6.26 ± 1.04; FV 7.08 + 2.46\n",
+ "Berardi: MV 6.24 ± 1.42; FV 7.46 + 3.80\n",
+ "Pedro: MV 6.15 ± 1.16; FV 6.78 + 2.36\n",
+ "Lukaku: MV 6.08 ± 1.19; FV 6.87 + 2.65\n",
+ "Sanabria: MV 6.00 ± 1.16; FV 6.52 + 2.14\n",
+ "Thauvin: MV 6.44 ± 1.30; FV 7.38 + 3.08\n",
+ "Cabral: MV 5.96 ± 1.10; FV 6.42 + 1.98\n",
+ "Hojlund: MV 5.98 ± 1.11; FV 6.52 + 2.13\n",
+ "Caprari: MV 5.95 ± 1.03; FV 6.48 + 2.03\n",
+ "Di Maria: MV 6.33 ± 1.32; FV 7.28 + 3.16\n",
+ "Piatek: MV 5.92 ± 1.16; FV 6.46 + 2.17\n",
+ "Rebic: MV 6.18 ± 1.33; FV 6.97 + 2.88\n",
+ "Bonazzoli: MV 6.05 ± 1.09; FV 6.56 + 2.03\n",
+ "Zapata D.: MV 5.82 ± 0.93; FV 6.17 + 1.53\n",
+ "Kouame': MV 5.97 ± 1.09; FV 6.37 + 1.88\n",
+ "Gonzalez N.: MV 6.12 ± 1.18; FV 6.71 + 2.27\n",
+ "Brekalo: MV 5.99 ± 1.06; FV 6.37 + 1.81\n",
+ "Mota: MV 6.03 ± 1.21; FV 6.83 + 2.71\n",
+ "Kean: MV 6.11 ± 1.22; FV 6.86 + 2.68\n",
+ "Okereke: MV 5.76 ± 1.10; FV 6.24 + 1.89\n",
+ "Ceesay: MV 5.95 ± 0.89; FV 6.32 + 1.48\n",
+ "Colombo: MV 5.99 ± 1.10; FV 6.48 + 2.01\n",
+ "Dessers: MV 5.79 ± 1.04; FV 6.25 + 1.81\n",
+ "Muriel: MV 6.01 ± 1.19; FV 6.41 + 2.09\n",
+ "Pinamonti: MV 5.88 ± 1.07; FV 6.35 + 1.94\n",
+ "Di Francesco F.: MV 6.04 ± 0.95; FV 6.39 + 1.56\n",
+ "Jovic: MV 5.90 ± 1.07; FV 6.31 + 1.88\n",
+ "Origi: MV 5.92 ± 1.07; FV 6.26 + 1.78\n",
+ "Caputo: MV 6.18 ± 1.27; FV 7.17 + 3.17\n",
+ "Boga: MV 6.28 ± 1.22; FV 7.01 + 2.50\n",
+ "Cambiaghi: MV 6.24 ± 0.95; FV 6.81 + 1.87\n",
+ "Alvarez A.: MV 5.98 ± 1.08; FV 6.36 + 1.87\n",
+ "Banda: MV 5.97 ± 0.73; FV 6.09 + 0.88\n",
+ "Ciofani D.: MV 5.85 ± 1.05; FV 6.29 + 1.82\n",
+ "Petagna: MV 5.95 ± 1.11; FV 6.48 + 2.09\n",
+ "Barrow: MV 6.16 ± 1.24; FV 6.74 + 2.39\n",
+ "Djuric: MV 6.03 ± 0.72; FV 6.23 + 0.99\n",
+ "Henry: MV 6.10 ± 1.23; FV 6.66 + 2.33\n",
+ "Success: MV 5.98 ± 0.70; FV 6.09 + 0.84\n",
+ "Gabbiadini: MV 5.86 ± 1.16; FV 6.39 + 2.11\n",
+ "Zirkzee: MV 6.13 ± 1.01; FV 6.63 + 1.86\n",
+ "Lammers: MV 5.82 ± 0.80; FV 5.91 + 1.07\n",
+ "Satriano: MV 5.92 ± 0.90; FV 6.13 + 1.35\n",
+ "Kallon: MV 5.89 ± 0.84; FV 6.14 + 1.29\n",
+ "Nestorovski: MV 6.28 ± 0.99; FV 7.11 + 2.37\n",
+ "Raspadori: MV 6.17 ± 1.05; FV 6.79 + 2.11\n",
+ "Botheim: MV 5.90 ± 1.02; FV 6.27 + 1.73\n",
+ "Gytkjaer: MV 5.84 ± 0.90; FV 6.11 + 1.45\n",
+ "Solbakken: MV 6.09 ± 0.99; FV 6.36 + 1.40\n",
+ "Lasagna: MV 5.81 ± 0.90; FV 5.94 + 1.23\n",
+ "Belotti: MV 5.70 ± 0.65; FV 5.71 + 0.63\n",
+ "Pellegri: MV 5.94 ± 0.98; FV 6.24 + 1.62\n",
+ "Buonaiuto: MV 5.90 ± 0.89; FV 6.21 + 1.42\n",
+ "Verde: MV 6.08 ± 0.95; FV 6.46 + 1.66\n",
+ "Destro: MV 6.09 ± 1.30; FV 7.00 + 3.01\n",
+ "Seck: MV 6.10 ± 0.75; FV 6.37 + 1.16\n",
+ "Sansone: MV 6.01 ± 1.03; FV 6.37 + 1.77\n",
+ "Quagliarella: MV 5.83 ± 0.76; FV 5.93 + 1.04\n",
+ "Defrel: MV 5.84 ± 0.92; FV 6.09 + 1.45\n",
+ "Pjaca: MV 5.98 ± 0.81; FV 6.15 + 1.00\n",
+ "Gaich: MV 6.01 ± 1.18; FV 6.50 + 2.17\n",
+ "Soule': MV 6.18 ± 0.76; FV 6.57 + 1.40\n",
+ "Tsadjout: MV 5.83 ± 0.83; FV 6.00 + 1.20\n",
+ "Piccoli: MV 6.08 ± 1.23; FV 7.02 + 2.97\n",
+ "Shomurodov: MV 6.03 ± 1.09; FV 6.56 + 2.07\n",
+ "Afena-Gyan: MV 5.61 ± 0.76; FV 5.68 + 0.90\n",
+ "Ngonge: MV 6.09 ± 0.88; FV 6.35 + 1.33\n",
+ "Karamoh: MV 5.90 ± 0.98; FV 6.26 + 1.66\n",
+ "Ibrahimovic: MV 6.21 ± 1.25; FV 7.21 + 3.12\n",
+ "Pussetto: MV 5.85 ± 0.95; FV 6.13 + 1.53\n",
+ "Cancellieri: MV 5.80 ± 0.59; FV 5.80 + 0.54\n",
+ "Valencia D.: MV 5.76 ± 0.61; FV 5.64 + 0.62\n",
+ "Oddei: MV 6.01 ± 0.91; FV 6.22 + 1.32\n",
+ "Braaf: MV 5.97 ± 0.95; FV 6.16 + 1.41\n",
+ "Raimondo: MV 6.05 ± 0.95; FV 6.23 + 1.31\n",
+ "Kaio Jorge: MV 5.96 ± 0.60; FV 5.99 + 0.54\n",
+ "De Luca: MV 5.78 ± 0.95; FV 5.83 + 1.22\n",
+ "Voelkerling Persson: MV 5.84 ± 0.77; FV 5.87 + 0.82\n",
+ "Montevago: MV 5.63 ± 0.63; FV 5.58 + 0.63\n",
+ "Krollis: MV 5.95 ± 0.90; FV 6.04 + 1.14\n",
+ "Vivaldo: MV 5.93 ± 0.89; FV 5.98 + 0.98\n"
]
},
{
@@ -5145,113 +7745,113 @@
" \n",
" \n",
" \n",
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- " 0.513530 \n",
- " 5.435509 \n",
- " 0.749779 \n",
- " 6.001004 \n",
- " 0.507520 \n",
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- " 1.997661 \n",
- " 6.066596 \n",
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- " 1.274944 \n",
- " 48.299336 \n",
- " \n",
- " \n",
" Rossi F. \n",
" P \n",
" Atalanta \n",
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+ " Lazio \n",
" 0 \n",
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" 1 \n",
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- " 0.225147 \n",
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- " 6.066596 \n",
- " 0.930667 \n",
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+ " 6.240065 \n",
+ " 0.413836 \n",
+ " 4.152373 \n",
+ " 0.656603 \n",
+ " 5.996478 \n",
+ " 0.250304 \n",
+ " 0.621345 \n",
+ " 1.589829 \n",
+ " 4.994501 \n",
+ " 0.649063 \n",
+ " -0.856058 \n",
+ " 0.978761 \n",
+ " 0.057899 \n",
" \n",
" \n",
" Sportiello \n",
" P \n",
" Atalanta \n",
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+ " Lazio \n",
" 0 \n",
- " 0.00 \n",
+ " 0.0 \n",
" 5 \n",
- " 6.192594 \n",
- " 0.598383 \n",
- " 5.267033 \n",
- " 0.809253 \n",
- " 6.008620 \n",
- " 0.592594 \n",
- " 0.223881 \n",
- " 1.997088 \n",
- " 6.000903 \n",
- " 0.964290 \n",
- " -0.533213 \n",
- " 1.203677 \n",
- " 35.746831 \n",
+ " 6.229934 \n",
+ " 0.413606 \n",
+ " 3.842824 \n",
+ " 0.781213 \n",
+ " 5.987415 \n",
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+ " 1.589775 \n",
+ " 4.677417 \n",
+ " 0.889610 \n",
+ " -0.657825 \n",
+ " 0.962257 \n",
+ " 0.630536 \n",
" \n",
" \n",
- " Maehle \n",
+ " Musso \n",
+ " P \n",
+ " Atalanta \n",
+ " Lazio \n",
+ " 0 \n",
+ " 1.0 \n",
+ " 90 \n",
+ " 6.241305 \n",
+ " 0.413688 \n",
+ " 3.805055 \n",
+ " 0.745440 \n",
+ " 5.997682 \n",
+ " 0.249927 \n",
+ " 0.622132 \n",
+ " 1.589848 \n",
+ " 4.588281 \n",
+ " 0.860939 \n",
+ " -0.638086 \n",
+ " 0.965051 \n",
+ " 0.630550 \n",
+ " \n",
+ " \n",
+ " Toloi \n",
" D \n",
" Atalanta \n",
- " Sassuolo \n",
+ " Lazio \n",
" 0 \n",
- " 0.60 \n",
- " 60 \n",
- " 6.036149 \n",
- " 0.454052 \n",
- " 6.529233 \n",
- " 0.879470 \n",
- " 5.913892 \n",
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- " 0.183731 \n",
- " 1.302140 \n",
- " 5.751755 \n",
- " 0.998900 \n",
- " 0.495966 \n",
- " 1.987621 \n",
+ " 1.0 \n",
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+ " 0.485607 \n",
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+ " 0.644557 \n",
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+ " 0.564084 \n",
+ " 0.048394 \n",
+ " 0.998974 \n",
+ " 5.778310 \n",
+ " 0.954499 \n",
+ " 0.301921 \n",
+ " 1.599886 \n",
" 0.000000 \n",
" \n",
" \n",
- " Scalvini \n",
+ " Zappacosta \n",
" D \n",
" Atalanta \n",
- " Sassuolo \n",
+ " Lazio \n",
" 0 \n",
- " 1.00 \n",
- " 80 \n",
- " 6.074810 \n",
- " 0.510337 \n",
- " 6.424573 \n",
- " 0.815833 \n",
- " 6.068752 \n",
- " 0.610180 \n",
- " 0.007356 \n",
- " 1.121424 \n",
- " 5.799932 \n",
- " 1.126880 \n",
- " 0.377048 \n",
- " 1.985834 \n",
+ " 0.0 \n",
+ " 50 \n",
+ " 5.927381 \n",
+ " 0.396225 \n",
+ " 6.080074 \n",
+ " 0.516057 \n",
+ " 5.884801 \n",
+ " 0.459364 \n",
+ " 0.068573 \n",
+ " 1.100237 \n",
+ " 5.755898 \n",
+ " 0.760867 \n",
+ " 0.306117 \n",
+ " 1.599905 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -5277,187 +7877,187 @@
" ... \n",
" \n",
" \n",
- " Gaich \n",
+ " Ngonge \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 0.00 \n",
- " 55 \n",
- " 5.700366 \n",
- " 0.509358 \n",
- " 6.064153 \n",
- " 0.780697 \n",
- " 5.562666 \n",
- " 0.551869 \n",
- " 0.183831 \n",
- " 1.224487 \n",
- " 5.373290 \n",
- " 0.885084 \n",
- " 0.496978 \n",
- " 1.988742 \n",
+ " 0.6 \n",
+ " 60 \n",
+ " 6.089963 \n",
+ " 0.440874 \n",
+ " 6.352181 \n",
+ " 0.666091 \n",
+ " 6.047486 \n",
+ " 0.510630 \n",
+ " 0.061438 \n",
+ " 1.034830 \n",
+ " 5.904508 \n",
+ " 0.951972 \n",
+ " 0.335237 \n",
+ " 1.599892 \n",
" 0.000000 \n",
" \n",
" \n",
" Djuric \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 1.00 \n",
- " 90 \n",
- " 5.922861 \n",
- " 0.345485 \n",
- " 6.041202 \n",
- " 0.511032 \n",
- " 5.883441 \n",
- " 0.410056 \n",
- " 0.071641 \n",
- " 1.473137 \n",
- " 5.672556 \n",
- " 0.745676 \n",
- " 0.341621 \n",
- " 1.990454 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " Lasagna \n",
- " A \n",
- " Verona \n",
- " Lazio \n",
- " 1 \n",
- " 0.55 \n",
- " 55 \n",
- " 5.719300 \n",
- " 0.431779 \n",
- " 5.909542 \n",
- " 0.588917 \n",
- " 5.647761 \n",
- " 0.494832 \n",
- " 0.107326 \n",
- " 1.340154 \n",
- " 5.440251 \n",
- " 0.779672 \n",
- " 0.403837 \n",
- " 1.989995 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 6.033207 \n",
+ " 0.361616 \n",
+ " 6.230060 \n",
+ " 0.496636 \n",
+ " 5.983521 \n",
+ " 0.415787 \n",
+ " 0.088429 \n",
+ " 1.136281 \n",
+ " 5.924402 \n",
+ " 0.738449 \n",
+ " 0.298006 \n",
+ " 1.599913 \n",
" 0.000000 \n",
" \n",
" \n",
" Braaf \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 0.45 \n",
+ " 0.0 \n",
" 55 \n",
- " 5.734690 \n",
- " 0.433356 \n",
- " 5.890573 \n",
- " 0.611714 \n",
- " 5.699566 \n",
- " 0.515700 \n",
- " 0.050670 \n",
- " 1.312336 \n",
- " 5.467443 \n",
- " 0.921282 \n",
- " 0.320319 \n",
- " 1.988160 \n",
+ " 5.972326 \n",
+ " 0.476709 \n",
+ " 6.157960 \n",
+ " 0.705597 \n",
+ " 5.950681 \n",
+ " 0.558465 \n",
+ " 0.028616 \n",
+ " 1.006961 \n",
+ " 5.694827 \n",
+ " 1.020101 \n",
+ " 0.324605 \n",
+ " 1.599876 \n",
" 0.000000 \n",
" \n",
" \n",
- " Ngonge \n",
+ " Kallon \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 0.00 \n",
+ " 0.0 \n",
" 35 \n",
- " 5.713428 \n",
- " 0.390186 \n",
- " 5.759344 \n",
- " 0.471212 \n",
- " 5.724524 \n",
- " 0.487887 \n",
- " -0.016952 \n",
- " 1.375901 \n",
- " 5.542124 \n",
- " 0.849412 \n",
- " 0.186345 \n",
- " 1.988971 \n",
+ " 5.894061 \n",
+ " 0.420545 \n",
+ " 6.143555 \n",
+ " 0.645448 \n",
+ " 5.815507 \n",
+ " 0.473957 \n",
+ " 0.122317 \n",
+ " 1.085336 \n",
+ " 5.634139 \n",
+ " 0.833541 \n",
+ " 0.423669 \n",
+ " 1.599879 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Lasagna \n",
+ " A \n",
+ " Verona \n",
+ " Salernitana \n",
+ " 1 \n",
+ " 1.0 \n",
+ " 70 \n",
+ " 5.808927 \n",
+ " 0.452028 \n",
+ " 5.943923 \n",
+ " 0.616045 \n",
+ " 5.721314 \n",
+ " 0.507906 \n",
+ " 0.127194 \n",
+ " 1.059328 \n",
+ " 5.475430 \n",
+ " 0.817998 \n",
+ " 0.400229 \n",
+ " 1.599880 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "543 rows × 19 columns
\n",
+ "520 rows × 19 columns
\n",
""
],
"text/plain": [
- " role team oppteam home starter vote% MV MV std \\\n",
- "player \n",
- "Musso P Atalanta Sassuolo 0 1.00 90 6.159522 0.513530 \n",
- "Rossi F. P Atalanta Sassuolo 0 0.00 1 6.159522 0.513530 \n",
- "Sportiello P Atalanta Sassuolo 0 0.00 5 6.192594 0.598383 \n",
- "Maehle D Atalanta Sassuolo 0 0.60 60 6.036149 0.454052 \n",
- "Scalvini D Atalanta Sassuolo 0 1.00 80 6.074810 0.510337 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "Gaich A Verona Lazio 1 0.00 55 5.700366 0.509358 \n",
- "Djuric A Verona Lazio 1 1.00 90 5.922861 0.345485 \n",
- "Lasagna A Verona Lazio 1 0.55 55 5.719300 0.431779 \n",
- "Braaf A Verona Lazio 1 0.45 55 5.734690 0.433356 \n",
- "Ngonge A Verona Lazio 1 0.00 35 5.713428 0.390186 \n",
+ " role team oppteam home starter vote% MV \\\n",
+ "player \n",
+ "Rossi F. P Atalanta Lazio 0 0.0 1 6.240065 \n",
+ "Sportiello P Atalanta Lazio 0 0.0 5 6.229934 \n",
+ "Musso P Atalanta Lazio 0 1.0 90 6.241305 \n",
+ "Toloi D Atalanta Lazio 0 1.0 90 5.994116 \n",
+ "Zappacosta D Atalanta Lazio 0 0.0 50 5.927381 \n",
+ "... ... ... ... ... ... ... ... \n",
+ "Ngonge A Verona Salernitana 1 0.6 60 6.089963 \n",
+ "Djuric A Verona Salernitana 1 0.0 0 6.033207 \n",
+ "Braaf A Verona Salernitana 1 0.0 55 5.972326 \n",
+ "Kallon A Verona Salernitana 1 0.0 35 5.894061 \n",
+ "Lasagna A Verona Salernitana 1 1.0 70 5.808927 \n",
"\n",
- " FV FV std MV loc MV scale MV skewness \\\n",
- "player \n",
- "Musso 5.435509 0.749779 6.001004 0.507520 0.225147 \n",
- "Rossi F. 5.435509 0.749779 6.001004 0.507520 0.225147 \n",
- "Sportiello 5.267033 0.809253 6.008620 0.592594 0.223881 \n",
- "Maehle 6.529233 0.879470 5.913892 0.490601 0.183731 \n",
- "Scalvini 6.424573 0.815833 6.068752 0.610180 0.007356 \n",
- "... ... ... ... ... ... \n",
- "Gaich 6.064153 0.780697 5.562666 0.551869 0.183831 \n",
- "Djuric 6.041202 0.511032 5.883441 0.410056 0.071641 \n",
- "Lasagna 5.909542 0.588917 5.647761 0.494832 0.107326 \n",
- "Braaf 5.890573 0.611714 5.699566 0.515700 0.050670 \n",
- "Ngonge 5.759344 0.471212 5.724524 0.487887 -0.016952 \n",
+ " MV std FV FV std MV loc MV scale MV skewness \\\n",
+ "player \n",
+ "Rossi F. 0.413836 4.152373 0.656603 5.996478 0.250304 0.621345 \n",
+ "Sportiello 0.413606 3.842824 0.781213 5.987415 0.252297 0.615500 \n",
+ "Musso 0.413688 3.805055 0.745440 5.997682 0.249927 0.622132 \n",
+ "Toloi 0.485607 6.178981 0.644557 5.957124 0.564084 0.048394 \n",
+ "Zappacosta 0.396225 6.080074 0.516057 5.884801 0.459364 0.068573 \n",
+ "... ... ... ... ... ... ... \n",
+ "Ngonge 0.440874 6.352181 0.666091 6.047486 0.510630 0.061438 \n",
+ "Djuric 0.361616 6.230060 0.496636 5.983521 0.415787 0.088429 \n",
+ "Braaf 0.476709 6.157960 0.705597 5.950681 0.558465 0.028616 \n",
+ "Kallon 0.420545 6.143555 0.645448 5.815507 0.473957 0.122317 \n",
+ "Lasagna 0.452028 5.943923 0.616045 5.721314 0.507906 0.127194 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Musso 1.997661 6.066596 0.930667 -0.477868 1.274944 \n",
- "Rossi F. 1.997661 6.066596 0.930667 -0.477868 1.274944 \n",
- "Sportiello 1.997088 6.000903 0.964290 -0.533213 1.203677 \n",
- "Maehle 1.302140 5.751755 0.998900 0.495966 1.987621 \n",
- "Scalvini 1.121424 5.799932 1.126880 0.377048 1.985834 \n",
+ "Rossi F. 1.589829 4.994501 0.649063 -0.856058 0.978761 \n",
+ "Sportiello 1.589775 4.677417 0.889610 -0.657825 0.962257 \n",
+ "Musso 1.589848 4.588281 0.860939 -0.638086 0.965051 \n",
+ "Toloi 0.998974 5.778310 0.954499 0.301921 1.599886 \n",
+ "Zappacosta 1.100237 5.755898 0.760867 0.306117 1.599905 \n",
"... ... ... ... ... ... \n",
- "Gaich 1.224487 5.373290 0.885084 0.496978 1.988742 \n",
- "Djuric 1.473137 5.672556 0.745676 0.341621 1.990454 \n",
- "Lasagna 1.340154 5.440251 0.779672 0.403837 1.989995 \n",
- "Braaf 1.312336 5.467443 0.921282 0.320319 1.988160 \n",
- "Ngonge 1.375901 5.542124 0.849412 0.186345 1.988971 \n",
+ "Ngonge 1.034830 5.904508 0.951972 0.335237 1.599892 \n",
+ "Djuric 1.136281 5.924402 0.738449 0.298006 1.599913 \n",
+ "Braaf 1.006961 5.694827 1.020101 0.324605 1.599876 \n",
+ "Kallon 1.085336 5.634139 0.833541 0.423669 1.599879 \n",
+ "Lasagna 1.059328 5.475430 0.817998 0.400229 1.599880 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Musso 48.299336 \n",
- "Rossi F. 48.299336 \n",
- "Sportiello 35.746831 \n",
- "Maehle 0.000000 \n",
- "Scalvini 0.000000 \n",
+ "Rossi F. 0.057899 \n",
+ "Sportiello 0.630536 \n",
+ "Musso 0.630550 \n",
+ "Toloi 0.000000 \n",
+ "Zappacosta 0.000000 \n",
"... ... \n",
- "Gaich 0.000000 \n",
- "Djuric 0.000000 \n",
- "Lasagna 0.000000 \n",
- "Braaf 0.000000 \n",
"Ngonge 0.000000 \n",
+ "Djuric 0.000000 \n",
+ "Braaf 0.000000 \n",
+ "Kallon 0.000000 \n",
+ "Lasagna 0.000000 \n",
"\n",
- "[543 rows x 19 columns]"
+ "[520 rows x 19 columns]"
]
},
- "execution_count": 92,
+ "execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "matchday_out = 21\n",
+ "matchday_out = 22\n",
"\n",
"output = pd.DataFrame(columns = ['player', 'role', 'team', 'oppteam', 'home', 'starter', 'vote%', 'MV', 'MV std', 'FV', 'FV std', 'MV loc', 'MV scale', 'MV skewness', 'MV tailweight', 'FV loc', 'FV scale', 'FV skewness', 'FV tailweight', 'Clean Sheet %'])\n",
"\n",
@@ -5507,7 +8107,7 @@
},
{
"cell_type": "code",
- "execution_count": 94,
+ "execution_count": 59,
"id": "6befd611",
"metadata": {},
"outputs": [],
@@ -5533,7 +8133,7 @@
},
{
"cell_type": "code",
- "execution_count": 95,
+ "execution_count": 60,
"id": "2b637a15",
"metadata": {},
"outputs": [],
@@ -5545,7 +8145,7 @@
},
{
"cell_type": "code",
- "execution_count": 96,
+ "execution_count": 61,
"id": "60d73507",
"metadata": {},
"outputs": [
@@ -5553,561 +8153,561 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Meret (6.14, 0.51); (5.45, 0.73)\n",
- "Provedel (6.24, 0.59); (5.60, 0.75)\n",
- "Vicario (6.50, 0.53); (6.02, 0.65)\n",
- "Szczesny (6.09, 0.21); (5.81, 0.48)\n",
- "Falcone (6.25, 0.34); (5.20, 0.41)\n",
- "Silvestri (6.26, 0.63); (5.35, 0.82)\n",
- "Rui Patricio (6.10, 0.28); (5.66, 0.52)\n",
- "Onana (6.21, 0.38); (4.89, 0.74)\n",
- "Sepe (6.49, 0.50); (5.06, 0.83)\n",
- "Milinkovic-Savic V. (6.02, 0.09); (4.88, 0.47)\n",
- "Musso (6.25, 0.51); (5.84, 0.63)\n",
- "Maignan (6.18, 0.52); (5.54, 0.72)\n",
- "Carnesecchi (6.54, 0.53); (5.29, 0.83)\n",
- "Di Gregorio (6.21, 0.41); (5.25, 0.52)\n",
- "Audero (6.19, 0.22); (4.45, 0.44)\n",
- "Montipo' (6.24, 0.47); (4.63, 0.55)\n",
- "Skorupski (6.20, 0.43); (4.67, 0.60)\n",
- "Consigli (6.28, 0.23); (4.77, 0.46)\n",
- "Dragowski (6.06, 0.17); (4.01, 0.53)\n",
- "Terracciano (5.80, 0.14); (3.78, 0.75)\n",
- "Tatarusanu (5.98, 0.16); (3.78, 0.61)\n",
- "Handanovic (6.06, 0.33); (4.48, 0.80)\n",
- "Sportiello (6.25, 0.65); (5.45, 0.79)\n",
- "Perin (6.26, 0.63); (5.55, 0.79)\n",
- "Zoet (6.50, 0.60); (5.88, 0.64)\n",
- "Ochoa (6.43, 0.54); (4.83, 0.95)\n",
- "Pegolo (6.36, 0.42); (5.26, 0.53)\n",
- "Gollini (6.18, 0.53); (5.55, 0.72)\n",
- "Mirante (6.18, 0.52); (5.54, 0.72)\n",
- "Sarr M. (6.54, 0.53); (5.29, 0.83)\n",
- "Lamanna (6.21, 0.41); (5.25, 0.52)\n",
- "Ujkani (6.50, 0.53); (6.02, 0.65)\n",
- "Berisha (6.02, 0.09); (4.88, 0.47)\n",
- "Marchetti (6.06, 0.17); (4.01, 0.53)\n",
- "Perilli (6.24, 0.47); (4.63, 0.55)\n",
- "Padelli (6.26, 0.63); (5.35, 0.82)\n",
- "Perisan (6.50, 0.53); (6.02, 0.65)\n",
- "Bardi (6.20, 0.43); (4.67, 0.60)\n",
- "Cordaz (6.21, 0.38); (4.89, 0.74)\n",
- "Pinsoglio (6.09, 0.21); (5.81, 0.48)\n",
- "Fiorillo (6.49, 0.50); (5.06, 0.83)\n",
- "Cragno (6.21, 0.41); (5.25, 0.52)\n",
- "Sirigu (5.80, 0.14); (3.78, 0.75)\n",
- "Cerofolini (5.80, 0.14); (3.78, 0.75)\n",
- "Rossi F. (6.25, 0.51); (5.84, 0.63)\n",
- "Ravaglia F. (6.20, 0.43); (4.67, 0.60)\n",
- "Brancolini (6.25, 0.34); (5.20, 0.41)\n",
- "Bleve (6.25, 0.34); (5.20, 0.41)\n",
- "Berardi A. (6.24, 0.47); (4.63, 0.55)\n",
- "Russo A. (6.28, 0.23); (4.77, 0.46)\n",
- "Gemello (6.02, 0.09); (4.88, 0.47)\n",
- "Ravaglia (6.19, 0.22); (4.45, 0.44)\n",
- "Boer (6.10, 0.28); (5.66, 0.52)\n",
- "Adamonis (6.24, 0.59); (5.60, 0.75)\n",
- "Marfella (6.14, 0.51); (5.45, 0.73)\n",
- "Zovko (6.12, 0.26); (4.28, 0.60)\n",
- "Piana (6.26, 0.63); (5.35, 0.82)\n",
- "Bagnolini (6.20, 0.43); (4.67, 0.60)\n",
- "Luis Maximiano (6.12, 0.50); (5.37, 0.78)\n",
- "Svilar (6.10, 0.28); (5.66, 0.52)\n",
- "Sorrentino A. (6.21, 0.41); (5.25, 0.52)\n",
- "Ciezkowski (6.54, 0.53); (5.29, 0.83)\n",
- "Saro (6.54, 0.53); (5.29, 0.83)\n",
- "Vasquez D. (6.20, 0.55); (5.54, 0.74)\n",
- "Turk (6.19, 0.22); (4.45, 0.44)\n",
- "Dimarco (6.22, 0.50); (7.02, 1.25)\n",
- "Smalling (6.15, 0.47); (6.55, 0.81)\n",
- "Doig (6.20, 0.59); (7.08, 1.45)\n",
- "Carlos Augusto (6.08, 0.57); (6.65, 1.15)\n",
- "Kim (6.21, 0.45); (6.64, 0.74)\n",
- "Posch (6.11, 0.52); (6.51, 0.93)\n",
- "Di Lorenzo (6.15, 0.36); (6.48, 0.61)\n",
- "Danilo (6.20, 0.47); (6.57, 0.77)\n",
- "Hernandez T. (6.06, 0.53); (6.33, 0.83)\n",
- "Udogie (6.11, 0.54); (6.71, 1.14)\n",
- "Parisi (6.17, 0.45); (6.64, 0.85)\n",
- "Mario Rui (6.17, 0.39); (6.45, 0.59)\n",
- "Romagnoli (6.16, 0.45); (6.36, 0.56)\n",
- "Bastoni S. (6.09, 0.50); (6.66, 1.05)\n",
- "Mazzocchi (6.07, 0.49); (6.55, 0.89)\n",
- "Valeri (6.03, 0.36); (6.27, 0.58)\n",
- "Tomori (6.04, 0.43); (6.28, 0.60)\n",
- "Scalvini (6.08, 0.49); (6.41, 0.81)\n",
- "Toloi (6.13, 0.43); (6.39, 0.62)\n",
- "Demiral (6.04, 0.43); (6.29, 0.65)\n",
- "Maehle (6.05, 0.43); (6.48, 0.82)\n",
- "Dumfries (6.02, 0.53); (6.60, 1.08)\n",
- "Baschirotto (6.12, 0.50); (6.53, 0.87)\n",
- "Bijol (5.95, 0.53); (6.17, 0.75)\n",
- "Schuurs (6.13, 0.36); (6.21, 0.41)\n",
- "Juan Jesus (6.15, 0.35); (6.50, 0.62)\n",
- "Depaoli (5.89, 0.49); (6.26, 0.83)\n",
- "Mancini (6.07, 0.33); (6.07, 0.32)\n",
- "Ibanez (6.00, 0.47); (6.22, 0.66)\n",
- "Rodrigo Becao (6.09, 0.44); (6.33, 0.61)\n",
- "Ebuehi (6.08, 0.39); (6.37, 0.61)\n",
- "Gosens (5.99, 0.36); (6.23, 0.62)\n",
- "Darmian (6.07, 0.39); (6.40, 0.65)\n",
- "Reca (5.97, 0.48); (6.25, 0.73)\n",
- "Bremer (6.01, 0.50); (6.23, 0.69)\n",
- "Sernicola (5.89, 0.40); (6.10, 0.61)\n",
- "Rrahmani (6.20, 0.45); (6.56, 0.69)\n",
- "Vojvoda (5.96, 0.40); (6.10, 0.51)\n",
- "Holm (5.90, 0.43); (6.12, 0.62)\n",
- "Bastoni (6.04, 0.41); (6.23, 0.55)\n",
- "Milenkovic (5.87, 0.53); (6.00, 0.71)\n",
- "Kalulu (5.84, 0.54); (5.93, 0.69)\n",
- "Martinez Quarta (6.03, 0.49); (6.25, 0.68)\n",
- "Casale (6.05, 0.42); (6.22, 0.52)\n",
- "Perez N. (6.07, 0.44); (6.35, 0.62)\n",
- "Olivera (6.07, 0.31); (6.35, 0.53)\n",
- "Izzo (6.05, 0.33); (6.03, 0.32)\n",
- "Luperto (5.98, 0.50); (6.12, 0.64)\n",
- "Skriniar (5.90, 0.38); (5.85, 0.37)\n",
- "Rodriguez R. (5.97, 0.37); (5.97, 0.34)\n",
- "Marusic (6.00, 0.35); (6.01, 0.33)\n",
- "Lazzari (6.05, 0.37); (6.09, 0.37)\n",
- "Kyriakopoulos (5.95, 0.42); (6.10, 0.58)\n",
- "Ampadu (5.84, 0.46); (5.84, 0.49)\n",
- "Ismajli (6.07, 0.38); (6.11, 0.37)\n",
- "Llorente D. (5.87, 0.52); (6.05, 0.72)\n",
- "Cambiaso (5.94, 0.35); (5.93, 0.35)\n",
- "Hysaj (5.98, 0.26); (5.95, 0.26)\n",
- "Biraghi (5.95, 0.33); (5.96, 0.35)\n",
- "Medel (5.96, 0.36); (5.93, 0.33)\n",
- "Bonucci (6.13, 0.50); (6.55, 0.89)\n",
- "Calabria (5.94, 0.48); (6.13, 0.68)\n",
- "Acerbi (6.05, 0.36); (6.16, 0.43)\n",
- "Spinazzola (5.96, 0.29); (5.98, 0.31)\n",
- "Lykogiannis (5.94, 0.30); (5.96, 0.33)\n",
- "Pellegrini Lu. (6.02, 0.31); (6.01, 0.30)\n",
- "Djidji (5.83, 0.44); (5.92, 0.54)\n",
- "Lazaro (5.95, 0.42); (6.04, 0.50)\n",
- "Augello (5.79, 0.46); (6.00, 0.67)\n",
- "Gallo (5.96, 0.35); (5.93, 0.32)\n",
- "Singo (5.96, 0.35); (6.00, 0.39)\n",
- "Mari' (5.78, 0.56); (5.88, 0.71)\n",
- "Caldirola (5.84, 0.42); (5.82, 0.40)\n",
- "Dodo' (5.69, 0.47); (5.69, 0.48)\n",
- "De Vrij (5.86, 0.38); (5.89, 0.41)\n",
- "Patric (6.06, 0.39); (6.19, 0.43)\n",
- "Faraoni (5.95, 0.44); (6.29, 0.77)\n",
- "Ceccherini (5.81, 0.51); (6.00, 0.71)\n",
- "Hateboer (5.85, 0.50); (6.15, 0.83)\n",
- "Rogerio (5.75, 0.43); (5.76, 0.44)\n",
- "Umtiti (6.01, 0.48); (6.13, 0.55)\n",
- "Aina (5.94, 0.46); (6.18, 0.68)\n",
- "Birindelli (5.81, 0.33); (5.79, 0.35)\n",
- "Lucumi' (5.84, 0.40); (5.82, 0.38)\n",
- "Ehizibue (5.91, 0.39); (6.03, 0.56)\n",
- "Bianchetti (5.67, 0.44); (5.78, 0.55)\n",
- "Ferrari G. (5.75, 0.55); (5.85, 0.69)\n",
- "Fazio (5.72, 0.65); (5.72, 0.73)\n",
- "Gravillon (5.92, 0.43); (6.00, 0.49)\n",
- "Buongiorno (5.89, 0.39); (5.83, 0.33)\n",
- "Gunter (5.74, 0.49); (5.87, 0.63)\n",
- "Troost-Ekong (5.73, 0.59); (5.81, 0.68)\n",
- "Soumaoro (5.78, 0.49); (5.78, 0.50)\n",
- "Ceccaroni (5.97, 0.50); (6.10, 0.61)\n",
- "Pongracic (5.98, 0.39); (5.97, 0.34)\n",
- "Soppy (5.89, 0.35); (5.88, 0.38)\n",
- "Gendrey (5.82, 0.32); (5.77, 0.28)\n",
- "Hien (5.76, 0.41); (5.69, 0.38)\n",
- "Ferrari A. (5.74, 0.53); (5.88, 0.68)\n",
- "Masina (6.06, 0.42); (6.35, 0.66)\n",
- "Zappacosta (6.04, 0.38); (6.29, 0.56)\n",
- "Gyomber (5.73, 0.47); (5.72, 0.46)\n",
- "Alex Sandro (5.67, 0.47); (5.61, 0.42)\n",
- "Pezzella Giu. (5.90, 0.28); (5.85, 0.26)\n",
- "Bereszynski (5.90, 0.28); (5.83, 0.27)\n",
- "Venuti (5.76, 0.36); (5.74, 0.36)\n",
- "Palomino (6.02, 0.44); (6.19, 0.55)\n",
- "Nuytinck (5.93, 0.46); (5.99, 0.50)\n",
- "Marlon (5.74, 0.33); (5.67, 0.29)\n",
- "Magnani (5.74, 0.47); (5.68, 0.46)\n",
- "Colley (5.76, 0.52); (5.92, 0.69)\n",
- "Nikolaou (5.70, 0.40); (5.64, 0.35)\n",
- "Terzic (5.97, 0.22); (5.94, 0.23)\n",
- "Igor (5.69, 0.46); (5.62, 0.43)\n",
- "Toljan (5.69, 0.38); (5.65, 0.37)\n",
- "Zortea (5.91, 0.46); (6.21, 0.74)\n",
- "Dawidowicz (5.68, 0.54); (5.74, 0.62)\n",
- "Celik (5.80, 0.38); (5.72, 0.35)\n",
- "Bellanova (5.92, 0.35); (5.94, 0.40)\n",
- "Erlic (5.80, 0.46); (5.81, 0.47)\n",
- "Ballo-Toure' (6.09, 0.37); (6.44, 0.65)\n",
- "Dest (5.80, 0.39); (5.81, 0.42)\n",
- "Stojanovic (5.66, 0.41); (5.63, 0.41)\n",
- "Amian (5.66, 0.41); (5.62, 0.41)\n",
- "Bradaric (5.64, 0.43); (5.68, 0.48)\n",
- "Daniliuc (5.70, 0.56); (5.75, 0.64)\n",
- "Zima (5.86, 0.40); (5.84, 0.35)\n",
- "De Winter (5.89, 0.39); (5.83, 0.34)\n",
- "Quagliata (5.90, 0.27); (5.91, 0.29)\n",
- "Ebosse (5.77, 0.35); (5.67, 0.30)\n",
- "Aiwu (5.85, 0.45); (5.95, 0.55)\n",
- "Lochoshvili (5.69, 0.40); (5.63, 0.39)\n",
- "Bronn (5.78, 0.35); (5.71, 0.32)\n",
- "Thiaw (5.85, 0.46); (5.88, 0.52)\n",
- "Zeefuik (5.88, 0.43); (5.95, 0.51)\n",
- "Romagnoli S. (6.00, 0.53); (6.31, 0.85)\n",
- "Ghiglione (5.72, 0.40); (5.74, 0.49)\n",
- "Rugani (5.97, 0.31); (5.92, 0.27)\n",
- "De Sciglio (5.89, 0.28); (5.83, 0.27)\n",
- "Djimsiti (5.96, 0.35); (5.95, 0.35)\n",
- "Caldara (5.68, 0.48); (5.67, 0.48)\n",
- "Karsdorp (5.90, 0.34); (5.88, 0.34)\n",
- "Marchizza (5.77, 0.32); (5.70, 0.32)\n",
- "Kjaer (5.96, 0.34); (5.92, 0.33)\n",
- "Okoli (5.66, 0.43); (5.56, 0.37)\n",
- "Amione (5.55, 0.40); (5.47, 0.37)\n",
- "Ruggeri (5.94, 0.28); (5.88, 0.27)\n",
- "Zanoli (5.94, 0.24); (5.92, 0.23)\n",
- "Wisniewski (5.81, 0.44); (5.89, 0.52)\n",
- "Radovanovic (5.52, 0.38); (5.35, 0.32)\n",
- "Dermaku (5.96, 0.44); (6.06, 0.50)\n",
- "D'ambrosio (6.06, 0.29); (6.09, 0.32)\n",
- "De Silvestri (5.78, 0.43); (5.91, 0.58)\n",
- "Chiriches (5.70, 0.48); (5.68, 0.46)\n",
- "Murru (5.63, 0.40); (5.63, 0.44)\n",
- "Bonifazi (5.74, 0.40); (5.67, 0.35)\n",
- "Donati (5.84, 0.48); (5.87, 0.52)\n",
- "Walukiewicz (5.70, 0.41); (5.65, 0.36)\n",
- "Ranieri L. (5.77, 0.37); (5.79, 0.45)\n",
- "Gabbia (5.58, 0.48); (5.53, 0.44)\n",
- "Kumbulla (5.92, 0.28); (5.87, 0.25)\n",
- "Adopo (5.88, 0.26); (5.83, 0.24)\n",
- "Pirola (5.54, 0.48); (5.47, 0.44)\n",
- "Lovato (5.58, 0.48); (5.53, 0.43)\n",
- "Tuia (5.78, 0.43); (5.86, 0.51)\n"
+ "Meret (6.24, 0.41); (5.58, 0.42)\n",
+ "Provedel (6.24, 0.41); (5.95, 0.36)\n",
+ "Vicario (6.24, 0.41); (5.36, 0.42)\n",
+ "Szczesny (6.24, 0.41); (6.01, 0.36)\n",
+ "Falcone (6.24, 0.41); (4.85, 0.45)\n",
+ "Silvestri (6.24, 0.41); (5.11, 0.44)\n",
+ "Rui Patricio (6.24, 0.41); (5.50, 0.38)\n",
+ "Onana (6.19, 0.42); (4.75, 0.59)\n",
+ "Sepe (6.24, 0.41); (5.10, 0.46)\n",
+ "Milinkovic-Savic V. (6.24, 0.41); (4.90, 0.41)\n",
+ "Musso (6.24, 0.41); (4.99, 0.63)\n",
+ "Maignan (6.24, 0.41); (5.81, 0.41)\n",
+ "Carnesecchi (6.24, 0.41); (5.22, 0.48)\n",
+ "Di Gregorio (6.25, 0.41); (5.01, 0.61)\n",
+ "Audero (6.24, 0.41); (4.75, 0.48)\n",
+ "Montipo' (6.24, 0.41); (4.72, 0.52)\n",
+ "Skorupski (6.24, 0.41); (4.76, 0.59)\n",
+ "Consigli (6.24, 0.41); (4.91, 0.50)\n",
+ "Dragowski (6.24, 0.41); (4.97, 0.54)\n",
+ "Terracciano (6.18, 0.42); (4.50, 0.65)\n",
+ "Tatarusanu (6.18, 0.43); (3.89, 0.76)\n",
+ "Handanovic (5.87, 0.50); (4.47, 0.71)\n",
+ "Sportiello (6.23, 0.42); (5.75, 0.47)\n",
+ "Perin (6.24, 0.41); (5.57, 0.41)\n",
+ "Zoet (6.24, 0.41); (5.55, 0.43)\n",
+ "Ochoa (6.23, 0.42); (4.02, 0.95)\n",
+ "Pegolo (6.24, 0.41); (5.55, 0.40)\n",
+ "Gollini (6.24, 0.41); (5.16, 0.43)\n",
+ "Mirante no data\n",
+ "Sarr M. no data\n",
+ "Lamanna no data\n",
+ "Ujkani no data\n",
+ "Berisha (6.24, 0.41); (5.29, 0.44)\n",
+ "Marchetti no data\n",
+ "Perilli no data\n",
+ "Padelli (6.24, 0.41); (4.83, 0.48)\n",
+ "Perisan no data\n",
+ "Bardi (6.24, 0.41); (5.27, 0.54)\n",
+ "Cordaz no data\n",
+ "Pinsoglio (6.24, 0.41); (5.06, 0.42)\n",
+ "Fiorillo (6.17, 0.43); (3.83, 0.97)\n",
+ "Cragno (6.24, 0.41); (4.42, 0.63)\n",
+ "Sirigu (6.24, 0.41); (4.39, 0.64)\n",
+ "Cerofolini no data\n",
+ "Rossi F. (6.00, 0.46); (3.42, 1.07)\n",
+ "Ravaglia F. no data\n",
+ "Brancolini no data\n",
+ "Bleve no data\n",
+ "Berardi A. (6.24, 0.41); (4.34, 0.60)\n",
+ "Russo A. no data\n",
+ "Gemello (6.24, 0.41); (5.79, 0.40)\n",
+ "Ravaglia (6.24, 0.41); (4.34, 0.66)\n",
+ "Boer no data\n",
+ "Adamonis no data\n",
+ "Marfella (6.24, 0.41); (5.13, 0.46)\n",
+ "Zovko (5.74, 0.52); (2.94, 1.36)\n",
+ "Piana no data\n",
+ "Bagnolini no data\n",
+ "Luis Maximiano (6.30, 0.40); (6.35, 0.47)\n",
+ "Svilar no data\n",
+ "Sorrentino A. no data\n",
+ "Ciezkowski no data\n",
+ "Saro no data\n",
+ "Vasquez D. no data\n",
+ "Turk no data\n",
+ "Dimarco (6.22, 0.50); (6.73, 0.92)\n",
+ "Smalling (6.24, 0.51); (6.68, 0.89)\n",
+ "Doig (6.21, 0.58); (6.85, 1.17)\n",
+ "Carlos Augusto (6.10, 0.55); (6.59, 1.02)\n",
+ "Kim (6.26, 0.48); (6.60, 0.80)\n",
+ "Posch (6.12, 0.59); (6.78, 1.23)\n",
+ "Di Lorenzo (6.23, 0.43); (6.55, 0.72)\n",
+ "Danilo (6.27, 0.51); (6.68, 0.87)\n",
+ "Hernandez T. (6.03, 0.60); (6.44, 1.02)\n",
+ "Udogie (6.09, 0.55); (6.55, 1.01)\n",
+ "Parisi (6.21, 0.44); (6.63, 0.79)\n",
+ "Mario Rui (6.22, 0.44); (6.47, 0.67)\n",
+ "Romagnoli (6.19, 0.47); (6.42, 0.68)\n",
+ "Bastoni S. (6.14, 0.50); (6.58, 0.92)\n",
+ "Mazzocchi (6.12, 0.50); (6.55, 0.89)\n",
+ "Valeri (6.08, 0.37); (6.31, 0.55)\n",
+ "Tomori (6.12, 0.48); (6.37, 0.69)\n",
+ "Scalvini (6.11, 0.54); (6.48, 0.89)\n",
+ "Toloi (6.18, 0.50); (6.51, 0.77)\n",
+ "Demiral (6.08, 0.46); (6.33, 0.68)\n",
+ "Maehle (5.98, 0.50); (6.22, 0.76)\n",
+ "Dumfries (6.04, 0.55); (6.44, 0.97)\n",
+ "Baschirotto (6.19, 0.54); (6.64, 0.96)\n",
+ "Bijol (5.92, 0.53); (6.12, 0.77)\n",
+ "Schuurs (6.15, 0.37); (6.23, 0.47)\n",
+ "Juan Jesus (6.19, 0.38); (6.45, 0.62)\n",
+ "Depaoli (5.96, 0.48); (6.19, 0.75)\n",
+ "Mancini (6.11, 0.36); (6.14, 0.40)\n",
+ "Ibanez (6.11, 0.52); (6.47, 0.85)\n",
+ "Rodrigo Becao (6.14, 0.47); (6.42, 0.71)\n",
+ "Ebuehi (6.09, 0.43); (6.38, 0.65)\n",
+ "Gosens (5.98, 0.34); (6.21, 0.50)\n",
+ "Darmian (6.08, 0.41); (6.46, 0.71)\n",
+ "Reca (5.89, 0.55); (6.13, 0.80)\n",
+ "Bremer (5.97, 0.54); (6.12, 0.68)\n",
+ "Sernicola (5.94, 0.40); (6.07, 0.55)\n",
+ "Rrahmani (6.26, 0.49); (6.56, 0.78)\n",
+ "Vojvoda (6.03, 0.46); (6.18, 0.59)\n",
+ "Holm (6.00, 0.44); (6.22, 0.66)\n",
+ "Bastoni (6.10, 0.46); (6.21, 0.56)\n",
+ "Milenkovic (5.91, 0.53); (6.07, 0.73)\n",
+ "Kalulu (5.78, 0.56); (5.83, 0.68)\n",
+ "Martinez Quarta (6.04, 0.52); (6.26, 0.73)\n",
+ "Casale (6.01, 0.45); (6.12, 0.56)\n",
+ "Perez N. (6.07, 0.46); (6.20, 0.57)\n",
+ "Olivera (6.15, 0.38); (6.48, 0.65)\n",
+ "Izzo (6.01, 0.39); (6.00, 0.39)\n",
+ "Luperto (5.82, 0.53); (5.82, 0.56)\n",
+ "Skriniar (5.84, 0.42); (5.81, 0.41)\n",
+ "Rodriguez R. (6.00, 0.39); (5.98, 0.39)\n",
+ "Marusic (6.03, 0.39); (6.05, 0.41)\n",
+ "Lazzari (6.05, 0.41); (6.08, 0.44)\n",
+ "Kyriakopoulos (5.91, 0.50); (6.00, 0.59)\n",
+ "Ampadu (5.84, 0.47); (5.86, 0.57)\n",
+ "Ismajli (6.06, 0.40); (6.03, 0.40)\n",
+ "Llorente D. (5.93, 0.52); (6.10, 0.72)\n",
+ "Cambiaso (5.96, 0.41); (5.99, 0.45)\n",
+ "Hysaj (6.00, 0.35); (6.05, 0.36)\n",
+ "Biraghi (6.00, 0.39); (6.05, 0.41)\n",
+ "Medel (5.95, 0.39); (5.91, 0.38)\n",
+ "Bonucci (6.21, 0.54); (6.66, 0.94)\n",
+ "Calabria (5.87, 0.53); (6.06, 0.77)\n",
+ "Acerbi (6.06, 0.41); (6.12, 0.46)\n",
+ "Spinazzola (6.00, 0.34); (6.05, 0.35)\n",
+ "Lykogiannis (5.97, 0.37); (6.04, 0.40)\n",
+ "Pellegrini Lu. (6.04, 0.37); (6.09, 0.41)\n",
+ "Djidji (5.92, 0.45); (5.99, 0.57)\n",
+ "Lazaro (6.02, 0.48); (6.16, 0.60)\n",
+ "Augello (5.83, 0.46); (5.93, 0.61)\n",
+ "Gallo (5.96, 0.38); (5.93, 0.36)\n",
+ "Singo (6.04, 0.42); (6.18, 0.53)\n",
+ "Mari' (5.83, 0.57); (5.94, 0.75)\n",
+ "Caldirola (5.81, 0.48); (5.77, 0.49)\n",
+ "Dodo' (5.78, 0.48); (5.70, 0.51)\n",
+ "De Vrij (5.87, 0.43); (5.90, 0.48)\n",
+ "Patric (6.04, 0.43); (6.05, 0.46)\n",
+ "Faraoni (5.98, 0.43); (6.16, 0.62)\n",
+ "Ceccherini (5.87, 0.52); (5.98, 0.71)\n",
+ "Hateboer (5.87, 0.48); (5.99, 0.69)\n",
+ "Rogerio (5.77, 0.45); (5.71, 0.49)\n",
+ "Umtiti (5.91, 0.50); (5.98, 0.56)\n",
+ "Aina (6.07, 0.53); (6.38, 0.80)\n",
+ "Birindelli (5.83, 0.37); (5.84, 0.40)\n",
+ "Lucumi' (5.91, 0.43); (5.89, 0.46)\n",
+ "Ehizibue (5.85, 0.45); (5.98, 0.65)\n",
+ "Bianchetti (5.76, 0.48); (5.78, 0.61)\n",
+ "Ferrari G. (5.77, 0.56); (5.83, 0.72)\n",
+ "Fazio (5.66, 0.63); (5.72, 0.71)\n",
+ "Gravillon (5.97, 0.45); (6.04, 0.54)\n",
+ "Buongiorno (5.95, 0.41); (5.90, 0.39)\n",
+ "Gunter (5.79, 0.50); (5.78, 0.62)\n",
+ "Troost-Ekong (5.77, 0.57); (5.78, 0.63)\n",
+ "Soumaoro (5.86, 0.50); (5.83, 0.52)\n",
+ "Ceccaroni (5.89, 0.53); (5.99, 0.66)\n",
+ "Pongracic (5.95, 0.40); (5.91, 0.38)\n",
+ "Soppy (5.85, 0.40); (5.87, 0.42)\n",
+ "Gendrey (5.87, 0.36); (5.83, 0.33)\n",
+ "Hien (5.81, 0.42); (5.74, 0.44)\n",
+ "Ferrari A. (5.77, 0.54); (5.80, 0.67)\n",
+ "Masina (6.05, 0.53); (6.51, 0.98)\n",
+ "Zappacosta (6.08, 0.41); (6.31, 0.59)\n",
+ "Gyomber (5.79, 0.46); (5.72, 0.46)\n",
+ "Alex Sandro (5.83, 0.49); (5.74, 0.45)\n",
+ "Pezzella Giu. (5.93, 0.35); (5.93, 0.32)\n",
+ "Bereszynski (5.89, 0.34); (5.86, 0.31)\n",
+ "Venuti (5.84, 0.41); (5.83, 0.43)\n",
+ "Palomino (6.08, 0.50); (6.25, 0.63)\n",
+ "Nuytinck (5.85, 0.51); (5.85, 0.56)\n",
+ "Marlon (5.81, 0.38); (5.77, 0.36)\n",
+ "Magnani (5.82, 0.47); (5.74, 0.47)\n",
+ "Colley (5.77, 0.57); (5.84, 0.72)\n",
+ "Nikolaou (5.70, 0.43); (5.60, 0.43)\n",
+ "Terzic (6.04, 0.28); (5.97, 0.22)\n",
+ "Igor (5.79, 0.48); (5.68, 0.48)\n",
+ "Toljan (5.71, 0.43); (5.62, 0.44)\n",
+ "Zortea (5.84, 0.44); (5.89, 0.56)\n",
+ "Dawidowicz (5.82, 0.52); (5.87, 0.68)\n",
+ "Celik (5.79, 0.39); (5.75, 0.39)\n",
+ "Bellanova (5.90, 0.42); (5.96, 0.50)\n",
+ "Erlic (5.82, 0.50); (5.76, 0.52)\n",
+ "Ballo-Toure' (6.13, 0.41); (6.50, 0.69)\n",
+ "Dest (5.78, 0.44); (5.77, 0.48)\n",
+ "Stojanovic (5.76, 0.43); (5.71, 0.47)\n",
+ "Amian (5.78, 0.43); (5.72, 0.47)\n",
+ "Bradaric (5.73, 0.44); (5.71, 0.50)\n",
+ "Daniliuc (5.75, 0.57); (5.77, 0.65)\n",
+ "Zima (5.94, 0.41); (5.94, 0.42)\n",
+ "De Winter (5.75, 0.43); (5.67, 0.40)\n",
+ "Quagliata (5.94, 0.32); (5.96, 0.29)\n",
+ "Ebosse (5.77, 0.36); (5.69, 0.34)\n",
+ "Aiwu (5.89, 0.48); (5.96, 0.64)\n",
+ "Lochoshvili (5.77, 0.40); (5.70, 0.43)\n",
+ "Bronn (5.77, 0.37); (5.72, 0.34)\n",
+ "Thiaw (6.00, 0.43); (6.02, 0.44)\n",
+ "Zeefuik (5.90, 0.45); (5.93, 0.55)\n",
+ "Romagnoli S. (5.98, 0.59); (6.34, 0.96)\n",
+ "Ghiglione (5.82, 0.45); (5.83, 0.57)\n",
+ "Rugani (6.00, 0.32); (5.93, 0.27)\n",
+ "De Sciglio (5.87, 0.34); (5.87, 0.29)\n",
+ "Djimsiti (5.97, 0.39); (5.99, 0.40)\n",
+ "Caldara (5.73, 0.52); (5.66, 0.56)\n",
+ "Karsdorp (5.90, 0.40); (5.90, 0.40)\n",
+ "Marchizza (5.84, 0.38); (5.80, 0.37)\n",
+ "Kjaer (5.90, 0.38); (5.84, 0.35)\n",
+ "Okoli (5.75, 0.46); (5.71, 0.45)\n",
+ "Amione (5.67, 0.42); (5.60, 0.45)\n",
+ "Ruggeri (5.87, 0.33); (5.85, 0.28)\n",
+ "Zanoli (5.81, 0.37); (5.78, 0.34)\n",
+ "Wisniewski (5.88, 0.47); (5.91, 0.57)\n",
+ "Radovanovic (5.64, 0.40); (5.53, 0.39)\n",
+ "Dermaku (5.94, 0.45); (5.99, 0.53)\n",
+ "D'ambrosio (6.13, 0.37); (6.31, 0.52)\n",
+ "De Silvestri (5.90, 0.51); (6.04, 0.72)\n",
+ "Chiriches (5.76, 0.52); (5.70, 0.54)\n",
+ "Murru (5.64, 0.40); (5.58, 0.44)\n",
+ "Bonifazi (5.80, 0.42); (5.72, 0.41)\n",
+ "Donati (5.79, 0.44); (5.75, 0.47)\n",
+ "Walukiewicz (5.78, 0.39); (5.73, 0.38)\n",
+ "Ranieri L. (5.83, 0.43); (5.85, 0.55)\n",
+ "Gabbia (5.67, 0.47); (5.56, 0.47)\n",
+ "Kumbulla (5.92, 0.33); (5.90, 0.29)\n",
+ "Adopo (5.82, 0.31); (5.78, 0.27)\n",
+ "Pirola (5.60, 0.49); (5.49, 0.49)\n",
+ "Lovato (5.67, 0.54); (5.55, 0.52)\n",
+ "Tuia (5.83, 0.48); (5.89, 0.63)\n",
+ "Ferrer (5.84, 0.48); (5.85, 0.55)\n",
+ "Antov (5.75, 0.53); (5.71, 0.56)\n",
+ "Vasquez (5.79, 0.43); (5.72, 0.47)\n",
+ "Ruan (5.78, 0.51); (5.63, 0.47)\n",
+ "Ostigard (6.10, 0.34); (6.07, 0.35)\n",
+ "Coppola D. (5.74, 0.38); (5.64, 0.39)\n",
+ "Cacace (5.78, 0.40); (5.71, 0.37)\n",
+ "Gatti (5.89, 0.40); (5.85, 0.38)\n",
+ "Gila (5.90, 0.41); (5.88, 0.41)\n",
+ "Bayeye (5.95, 0.44); (6.00, 0.51)\n",
+ "Sambia (5.75, 0.43); (5.73, 0.44)\n",
+ "Moutinho J. (5.76, 0.44); (5.69, 0.47)\n",
+ "Conti (5.96, 0.45); (6.15, 0.68)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Ferrer (5.82, 0.47); (5.86, 0.51)\n",
- "Antov (5.72, 0.49); (5.73, 0.50)\n",
- "Vasquez (5.68, 0.42); (5.63, 0.42)\n",
- "Ruan (5.47, 0.47); (5.27, 0.38)\n",
- "Ostigard (6.03, 0.30); (6.03, 0.31)\n",
- "Coppola D. (5.70, 0.39); (5.61, 0.36)\n",
- "Cacace (5.71, 0.43); (5.65, 0.38)\n",
- "Gatti (5.92, 0.37); (5.93, 0.36)\n",
- "Gila (6.10, 0.42); (6.25, 0.48)\n",
- "Bayeye (5.98, 0.44); (6.09, 0.51)\n",
- "Sambia (5.82, 0.50); (5.89, 0.58)\n",
- "Moutinho J. (5.63, 0.37); (5.55, 0.36)\n",
- "Conti (5.92, 0.50); (6.26, 0.82)\n",
- "Marrone (5.57, 0.46); (5.50, 0.40)\n",
- "Tonelli (5.60, 0.43); (5.51, 0.36)\n",
- "Murillo (5.60, 0.33); (5.48, 0.28)\n",
- "Radu (6.07, 0.38); (6.23, 0.44)\n",
- "Paletta (5.84, 0.45); (5.89, 0.51)\n",
- "Florenzi (6.07, 0.33); (6.22, 0.45)\n",
- "Sala (5.69, 0.36); (5.69, 0.39)\n",
- "Fares (5.81, 0.33); (5.77, 0.33)\n",
- "Romagna (5.87, 0.45); (5.92, 0.51)\n",
- "Cassandro (5.95, 0.42); (6.03, 0.47)\n",
- "Muldur (5.76, 0.38); (5.71, 0.36)\n",
- "Amey (5.98, 0.41); (6.07, 0.48)\n",
- "Zanotti (5.95, 0.42); (6.05, 0.53)\n",
- "Ebosele (5.71, 0.38); (5.68, 0.37)\n",
- "Buta (5.94, 0.44); (6.02, 0.52)\n",
- "Abankwah (5.94, 0.44); (6.02, 0.52)\n",
- "Guessand A. (5.94, 0.44); (6.02, 0.52)\n",
- "Cabal (5.75, 0.48); (5.81, 0.55)\n",
- "Sosa (5.67, 0.48); (5.70, 0.51)\n",
- "Guarino (5.89, 0.44); (5.95, 0.49)\n",
- "Carboni F. (5.85, 0.35); (5.83, 0.36)\n",
- "Zaccagni (6.51, 0.67); (7.87, 2.15)\n",
- "Kvaratskhelia (6.55, 0.69); (8.09, 2.39)\n",
- "Milinkovic-Savic (6.43, 0.65); (7.49, 1.84)\n",
- "Barella (6.35, 0.60); (7.44, 1.72)\n",
- "Zielinski (6.39, 0.54); (7.13, 1.25)\n",
- "Luis Alberto (6.41, 0.57); (7.40, 1.58)\n",
- "Strefezza (6.36, 0.53); (7.12, 1.28)\n",
- "Felipe Anderson (6.33, 0.64); (7.43, 1.81)\n",
- "Koopmeiners (6.40, 0.65); (7.54, 1.86)\n",
- "Calhanoglu (6.29, 0.51); (7.01, 1.19)\n",
- "Frattesi (6.22, 0.65); (7.18, 1.66)\n",
- "Diaz B. (6.25, 0.60); (7.23, 1.57)\n",
- "Vlasic (6.18, 0.55); (6.89, 1.23)\n",
- "Zambo Anguissa (6.33, 0.54); (7.04, 1.20)\n",
- "Elmas (6.29, 0.53); (7.11, 1.33)\n",
- "Miranchuk (6.26, 0.58); (7.23, 1.55)\n",
- "Samardzic (6.25, 0.53); (7.09, 1.35)\n",
- "Pereyra (6.24, 0.56); (7.02, 1.34)\n",
- "Politano (6.24, 0.44); (6.74, 0.91)\n",
- "Rabiot (6.15, 0.59); (6.91, 1.36)\n",
- "Ciurria (6.17, 0.59); (7.06, 1.47)\n",
- "Lazovic (6.09, 0.54); (6.76, 1.14)\n",
- "Lobotka (6.17, 0.37); (6.58, 0.68)\n",
- "Radonjic (6.15, 0.47); (6.51, 0.78)\n",
- "Ferguson (6.19, 0.48); (6.74, 1.00)\n",
- "Bonaventura (6.12, 0.51); (6.74, 1.06)\n",
- "Pessina (6.05, 0.48); (6.49, 0.85)\n",
- "Tonali (6.14, 0.58); (6.84, 1.29)\n",
- "Kostic (6.09, 0.49); (6.65, 1.01)\n",
- "Baldanzi (6.32, 0.55); (7.29, 1.53)\n",
- "Lovric (6.14, 0.40); (6.57, 0.79)\n",
- "Pellegrini Lo. (6.12, 0.57); (6.87, 1.32)\n",
- "El Shaarawy (6.26, 0.53); (7.07, 1.34)\n",
- "Orsolini (6.22, 0.66); (7.19, 1.73)\n",
- "Ikone' (5.98, 0.53); (6.42, 0.91)\n",
- "Candreva (6.00, 0.52); (6.41, 0.91)\n",
- "Bennacer (6.08, 0.36); (6.37, 0.58)\n",
- "Pasalic (6.06, 0.55); (6.72, 1.18)\n",
- "Mkhitaryan (6.05, 0.45); (6.52, 0.88)\n",
- "Colpani (6.03, 0.42); (6.43, 0.81)\n",
- "Pogba (5.94, 0.42); (6.02, 0.48)\n",
- "Chiesa (6.17, 0.54); (6.78, 1.15)\n",
- "Bandinelli (5.94, 0.45); (6.32, 0.79)\n",
- "Matic (6.11, 0.38); (6.41, 0.60)\n",
- "Fagioli (6.09, 0.52); (6.77, 1.16)\n",
- "Messias (6.00, 0.53); (6.52, 1.00)\n",
- "Arslan (5.99, 0.34); (6.16, 0.50)\n",
- "Ricci S. (6.16, 0.43); (6.60, 0.80)\n",
- "Ranocchia F. (6.08, 0.44); (6.54, 0.86)\n",
- "Verdi (6.08, 0.39); (6.40, 0.67)\n",
- "Sensi (5.99, 0.50); (6.28, 0.78)\n",
- "Barak (5.83, 0.42); (6.07, 0.66)\n",
- "Soriano (5.97, 0.31); (6.04, 0.38)\n",
- "Dominguez (6.09, 0.43); (6.38, 0.71)\n",
- "Vilhena (5.79, 0.51); (6.22, 0.91)\n",
- "Brozovic (6.13, 0.39); (6.48, 0.68)\n",
- "Cristante (5.92, 0.38); (6.00, 0.48)\n",
- "Thorstvedt (5.87, 0.44); (6.10, 0.67)\n",
- "De Ketelaere (5.87, 0.37); (6.00, 0.52)\n",
- "Saponara (6.02, 0.52); (6.48, 0.94)\n",
- "Vecino (5.94, 0.40); (6.05, 0.51)\n",
- "Locatelli (6.03, 0.32); (6.06, 0.34)\n",
- "Zaniolo (5.84, 0.46); (6.10, 0.73)\n",
- "Duda (5.91, 0.41); (5.97, 0.48)\n",
- "Maldini (5.93, 0.45); (6.35, 0.85)\n",
- "Marin (5.83, 0.53); (6.13, 0.89)\n",
- "Zalewski (5.99, 0.30); (6.07, 0.37)\n",
- "Bajrami (5.80, 0.47); (6.09, 0.74)\n",
- "Coulibaly L. (5.81, 0.52); (6.04, 0.81)\n",
- "Gonzalez J. (6.03, 0.44); (6.37, 0.74)\n",
- "De Roon (5.99, 0.32); (5.96, 0.30)\n",
- "Mandragora (5.92, 0.40); (6.07, 0.57)\n",
- "Wijnaldum (5.94, 0.41); (5.99, 0.44)\n",
- "Bourabia (5.88, 0.36); (5.87, 0.39)\n",
- "Sottil (6.07, 0.54); (6.66, 1.08)\n",
- "Aebischer (5.92, 0.42); (6.26, 0.74)\n",
- "Ederson D.s. (5.88, 0.42); (6.06, 0.62)\n",
- "Miretti (5.91, 0.32); (5.97, 0.38)\n",
- "Blin (5.99, 0.27); (5.97, 0.27)\n",
- "Hjulmand (6.05, 0.49); (6.24, 0.60)\n",
- "Cataldi (5.99, 0.30); (5.95, 0.27)\n",
- "Djuricic (5.64, 0.47); (5.99, 0.74)\n",
- "Linetty (5.88, 0.45); (6.17, 0.73)\n",
- "Haas (5.87, 0.39); (6.13, 0.65)\n",
- "Walace (5.92, 0.32); (5.89, 0.30)\n",
- "Agudelo (5.79, 0.32); (5.87, 0.41)\n",
- "Pobega (5.98, 0.46); (6.38, 0.82)\n",
- "Camara Ma. (6.12, 0.35); (6.24, 0.43)\n",
- "Paredes (5.79, 0.32); (5.70, 0.29)\n",
- "Ndombele' (5.95, 0.25); (5.91, 0.24)\n",
- "Nicolussi Caviglia (6.01, 0.48); (6.36, 0.78)\n",
- "Rovella (5.98, 0.44); (6.09, 0.53)\n",
- "Amrabat (5.88, 0.43); (5.89, 0.47)\n",
- "Tameze (5.84, 0.39); (5.86, 0.45)\n",
- "Gyasi (5.66, 0.50); (6.09, 0.83)\n",
- "Ilic (5.96, 0.41); (6.02, 0.45)\n",
- "Matheus Henrique (5.86, 0.42); (6.01, 0.59)\n",
- "Harroui (5.80, 0.38); (5.95, 0.56)\n",
- "Volpato (6.08, 0.53); (6.66, 1.09)\n",
- "Pickel (5.75, 0.36); (5.83, 0.48)\n",
- "Moro N. (5.95, 0.28); (5.99, 0.32)\n",
- "Duncan (5.88, 0.33); (5.90, 0.40)\n",
- "Machin (5.83, 0.44); (5.88, 0.53)\n",
- "Cuadrado (5.98, 0.46); (6.17, 0.61)\n",
- "Ekdal (5.81, 0.29); (5.73, 0.27)\n",
- "Meite' (5.76, 0.45); (5.85, 0.58)\n",
- "Schouten (5.93, 0.32); (5.90, 0.30)\n",
- "Obiang (5.91, 0.27); (5.90, 0.27)\n",
- "Kovalenko (5.90, 0.34); (6.01, 0.46)\n",
- "Crnigoj (5.91, 0.43); (6.17, 0.67)\n",
- "Basic (5.96, 0.27); (5.97, 0.31)\n",
- "Asllani (5.97, 0.26); (5.96, 0.27)\n",
- "Sabiri (5.71, 0.44); (5.92, 0.66)\n",
- "Terracciano F. (5.99, 0.27); (6.05, 0.34)\n",
- "Castagnetti (5.90, 0.25); (5.87, 0.25)\n",
- "Oudin (5.85, 0.30); (5.85, 0.32)\n",
- "Grassi (5.92, 0.29); (5.88, 0.26)\n",
- "Krunic (5.93, 0.32); (5.93, 0.34)\n",
- "Rincon (5.66, 0.40); (5.61, 0.41)\n",
- "Miguel Veloso (5.92, 0.32); (5.90, 0.34)\n",
- "Leris (5.68, 0.37); (5.71, 0.47)\n",
- "Esposito Sa. (5.83, 0.49); (5.93, 0.61)\n",
- "Henderson L. (5.84, 0.36); (5.95, 0.47)\n",
- "Lopez M. (5.89, 0.36); (5.87, 0.39)\n",
- "Cuisance (5.69, 0.35); (5.66, 0.39)\n",
- "Saelemaekers (5.90, 0.38); (6.06, 0.55)\n",
- "Maggiore (5.88, 0.35); (5.99, 0.48)\n",
- "Akpa Akpro (5.87, 0.44); (5.92, 0.50)\n",
- "Maleh (5.94, 0.36); (6.13, 0.57)\n",
- "Romero L. (6.09, 0.55); (6.71, 1.18)\n",
- "Ceide (5.92, 0.33); (5.95, 0.34)\n",
- "D'alessandro (5.99, 0.28); (6.06, 0.34)\n",
- "Benassi (5.77, 0.31); (5.82, 0.36)\n",
- "Gagliardini (5.88, 0.25); (5.85, 0.27)\n",
- "Vieira (5.66, 0.40); (5.73, 0.51)\n",
- "Bianco (5.95, 0.35); (5.97, 0.38)\n",
- "Vranckx (6.01, 0.39); (6.04, 0.38)\n",
- "Galdames (5.87, 0.44); (5.97, 0.56)\n",
- "Marcos Antonio (5.96, 0.23); (5.92, 0.22)\n",
- "Fazzini (5.78, 0.29); (5.70, 0.27)\n",
- "Sulemana I. (5.84, 0.28); (5.85, 0.31)\n",
- "Tahirovic (5.98, 0.27); (5.95, 0.26)\n",
- "Abildgaard (5.88, 0.42); (5.95, 0.52)\n",
- "Barberis (5.68, 0.37); (5.66, 0.38)\n",
- "Kastanos (5.82, 0.30); (5.79, 0.31)\n",
- "Vignato (5.90, 0.29); (5.89, 0.29)\n",
- "Valoti (5.82, 0.32); (5.73, 0.31)\n",
- "Winks (5.86, 0.49); (5.95, 0.59)\n",
- "Askildsen (5.65, 0.29); (5.66, 0.34)\n",
- "Bove (6.00, 0.35); (6.05, 0.38)\n",
- "Bohinen (5.75, 0.27); (5.64, 0.26)\n",
- "D'andrea (5.98, 0.36); (6.17, 0.52)\n",
- "Iling-Junior (5.96, 0.32); (5.94, 0.31)\n",
- "Cipot (5.80, 0.42); (5.87, 0.52)\n",
- "Bakayoko (5.80, 0.36); (5.69, 0.33)\n",
- "Gaetano (6.00, 0.34); (6.04, 0.37)\n",
- "Zurkowski (6.03, 0.54); (6.57, 1.06)\n",
- "Castrovilli (6.03, 0.47); (6.47, 0.86)\n",
- "Demme (6.03, 0.37); (6.26, 0.58)\n",
- "Darboe (5.92, 0.41); (5.94, 0.42)\n",
- "Urbanski (5.94, 0.37); (5.98, 0.42)\n",
- "Bertini (5.97, 0.42); (6.08, 0.49)\n",
- "Yepes (5.64, 0.42); (5.59, 0.40)\n",
- "Pyyhtia (5.94, 0.51); (6.11, 0.66)\n",
- "Trimboli (5.84, 0.44); (5.90, 0.52)\n",
- "Pafundi (5.92, 0.44); (5.99, 0.51)\n",
- "Helgason (5.70, 0.34); (5.67, 0.35)\n",
- "Adli (5.84, 0.35); (5.85, 0.42)\n",
- "Vignato S. (5.89, 0.32); (5.85, 0.32)\n",
- "Hrustic (5.72, 0.30); (5.67, 0.29)\n",
- "Samek (5.94, 0.42); (6.01, 0.48)\n",
- "Zerbin (6.01, 0.34); (6.05, 0.38)\n",
- "Ilkhan (5.78, 0.47); (5.81, 0.52)\n",
- "Degli Innocenti (5.84, 0.47); (5.90, 0.55)\n",
- "Acella (5.87, 0.44); (5.97, 0.56)\n",
- "Carboni V. (5.96, 0.38); (6.02, 0.44)\n",
- "Paoletti (5.99, 0.41); (6.01, 0.41)\n",
- "Malagrida (5.87, 0.42); (5.92, 0.49)\n",
- "Faticanti (5.91, 0.43); (5.97, 0.49)\n",
- "Osimhen (6.54, 0.71); (8.26, 2.71)\n",
- "Martinez L. (6.46, 0.71); (7.87, 2.29)\n",
- "Dybala (6.51, 0.69); (7.96, 2.30)\n",
- "Rafael Leao (6.43, 0.72); (7.84, 2.34)\n",
- "Lookman (6.50, 0.70); (8.07, 2.46)\n",
- "Immobile (6.46, 0.72); (7.93, 2.41)\n",
- "Vlahovic (6.34, 0.73); (7.66, 2.19)\n",
- "Arnautovic (6.36, 0.69); (7.63, 2.06)\n",
- "Dia (6.26, 0.72); (7.52, 2.07)\n",
- "Dzeko (6.34, 0.70); (7.60, 2.07)\n",
- "Milik (6.36, 0.63); (7.58, 1.94)\n",
- "Nzola (6.23, 0.71); (7.53, 2.08)\n",
- "Beto (6.18, 0.64); (7.23, 1.69)\n",
- "Giroud (6.25, 0.69); (7.38, 1.89)\n",
- "Abraham (6.30, 0.68); (7.41, 1.87)\n",
- "Deulofeu (6.39, 0.65); (7.59, 1.95)\n",
- "Lauriente' (6.32, 0.69); (7.51, 2.01)\n"
+ "Marrone (5.60, 0.44); (5.50, 0.45)\n",
+ "Tonelli (5.75, 0.45); (5.66, 0.43)\n",
+ "Murillo (5.63, 0.35); (5.53, 0.33)\n",
+ "Radu (6.08, 0.36); (5.94, 0.30)\n",
+ "Paletta (5.89, 0.47); (5.96, 0.59)\n",
+ "Florenzi (6.15, 0.44); (6.40, 0.63)\n",
+ "Sala (5.85, 0.37); (5.86, 0.39)\n",
+ "Fares (5.81, 0.39); (5.80, 0.42)\n",
+ "Romagna (5.88, 0.48); (5.88, 0.55)\n",
+ "Cassandro (5.94, 0.45); (6.00, 0.54)\n",
+ "Muldur (5.75, 0.43); (5.67, 0.44)\n",
+ "Amey (6.02, 0.45); (6.13, 0.55)\n",
+ "Zanotti (5.93, 0.45); (6.00, 0.54)\n",
+ "Ebosele (5.99, 0.34); (6.02, 0.34)\n",
+ "Buta (5.94, 0.45); (6.01, 0.56)\n",
+ "Abankwah (5.94, 0.45); (6.01, 0.56)\n",
+ "Guessand A. (5.94, 0.45); (6.01, 0.56)\n",
+ "Cabal (5.88, 0.48); (5.91, 0.57)\n",
+ "Sosa (5.77, 0.48); (5.76, 0.56)\n",
+ "Guarino (5.89, 0.46); (5.92, 0.53)\n",
+ "Carboni F. (5.93, 0.46); (6.01, 0.54)\n",
+ "Zaccagni (6.44, 0.66); (7.42, 1.59)\n",
+ "Kvaratskhelia (6.57, 0.72); (7.58, 1.69)\n",
+ "Milinkovic-Savic (6.28, 0.61); (7.10, 1.39)\n",
+ "Barella (6.29, 0.58); (7.02, 1.24)\n",
+ "Zielinski (6.34, 0.55); (7.00, 1.10)\n",
+ "Luis Alberto (6.33, 0.53); (7.07, 1.15)\n",
+ "Strefezza (6.33, 0.50); (7.15, 1.19)\n",
+ "Felipe Anderson (6.20, 0.61); (7.07, 1.43)\n",
+ "Koopmeiners (6.26, 0.60); (7.06, 1.35)\n",
+ "Calhanoglu (6.27, 0.50); (6.81, 0.95)\n",
+ "Frattesi (6.18, 0.62); (6.92, 1.32)\n",
+ "Diaz B. (6.21, 0.63); (6.95, 1.31)\n",
+ "Vlasic (6.18, 0.57); (6.83, 1.16)\n",
+ "Zambo Anguissa (6.32, 0.55); (6.90, 1.04)\n",
+ "Elmas (6.25, 0.53); (6.89, 1.06)\n",
+ "Miranchuk (6.27, 0.59); (7.02, 1.26)\n",
+ "Samardzic (6.19, 0.57); (6.84, 1.15)\n",
+ "Pereyra (6.18, 0.55); (6.74, 1.06)\n",
+ "Politano (6.24, 0.45); (6.80, 0.91)\n",
+ "Rabiot (6.16, 0.57); (6.71, 1.08)\n",
+ "Ciurria (6.07, 0.59); (6.68, 1.18)\n",
+ "Lazovic (6.16, 0.55); (6.71, 1.03)\n",
+ "Lobotka (6.20, 0.38); (6.56, 0.70)\n",
+ "Radonjic (6.16, 0.48); (6.65, 0.88)\n",
+ "Ferguson (6.20, 0.48); (6.73, 0.93)\n",
+ "Bonaventura (6.14, 0.50); (6.57, 0.86)\n",
+ "Pessina (6.17, 0.56); (6.72, 1.05)\n",
+ "Tonali (6.10, 0.58); (6.57, 1.05)\n",
+ "Kostic (6.17, 0.53); (6.69, 0.96)\n",
+ "Baldanzi (6.31, 0.53); (7.11, 1.20)\n",
+ "Lovric (6.12, 0.41); (6.50, 0.71)\n",
+ "Pellegrini Lo. (6.10, 0.59); (6.68, 1.17)\n",
+ "El Shaarawy (6.24, 0.49); (6.90, 1.04)\n",
+ "Orsolini (6.23, 0.67); (7.12, 1.56)\n",
+ "Ikone' (6.03, 0.57); (6.49, 1.02)\n",
+ "Candreva (5.88, 0.57); (6.14, 0.84)\n",
+ "Bennacer (6.12, 0.42); (6.37, 0.60)\n",
+ "Pasalic (6.08, 0.59); (6.68, 1.17)\n",
+ "Mkhitaryan (6.02, 0.46); (6.39, 0.78)\n",
+ "Colpani (5.99, 0.43); (6.43, 0.82)\n",
+ "Pogba (5.97, 0.44); (6.05, 0.52)\n",
+ "Chiesa (6.17, 0.53); (6.62, 0.92)\n",
+ "Bandinelli (5.98, 0.44); (6.19, 0.65)\n",
+ "Matic (6.16, 0.40); (6.48, 0.66)\n",
+ "Fagioli (6.18, 0.52); (6.69, 0.95)\n",
+ "Messias (5.97, 0.54); (6.41, 0.98)\n",
+ "Arslan (5.97, 0.38); (6.11, 0.48)\n",
+ "Ricci S. (6.17, 0.42); (6.45, 0.66)\n",
+ "Ranocchia F. (6.07, 0.45); (6.48, 0.79)\n",
+ "Verdi (6.10, 0.41); (6.45, 0.68)\n",
+ "Sensi (5.99, 0.58); (6.36, 0.97)\n",
+ "Barak (5.86, 0.45); (6.03, 0.67)\n",
+ "Soriano (6.02, 0.38); (6.17, 0.51)\n",
+ "Dominguez (6.18, 0.53); (6.69, 1.00)\n",
+ "Vilhena (5.87, 0.50); (6.08, 0.76)\n",
+ "Brozovic (6.18, 0.46); (6.56, 0.77)\n",
+ "Cristante (5.98, 0.43); (6.12, 0.57)\n",
+ "Thorstvedt (5.92, 0.46); (6.11, 0.68)\n",
+ "De Ketelaere (5.87, 0.40); (6.00, 0.54)\n",
+ "Saponara (6.07, 0.57); (6.58, 1.05)\n",
+ "Vecino (5.95, 0.44); (6.09, 0.59)\n",
+ "Locatelli (6.07, 0.37); (6.14, 0.42)\n",
+ "Zaniolo (5.91, 0.50); (6.16, 0.79)\n",
+ "Duda (6.02, 0.46); (6.15, 0.59)\n",
+ "Maldini (5.94, 0.45); (6.25, 0.72)\n",
+ "Marin (5.90, 0.53); (6.08, 0.76)\n",
+ "Zalewski (6.06, 0.35); (6.13, 0.40)\n",
+ "Bajrami (6.21, 0.58); (6.85, 1.16)\n",
+ "Coulibaly L. (5.83, 0.56); (6.03, 0.77)\n",
+ "Gonzalez J. (6.07, 0.46); (6.40, 0.76)\n",
+ "De Roon (6.03, 0.37); (6.08, 0.41)\n",
+ "Mandragora (5.93, 0.46); (6.08, 0.68)\n",
+ "Wijnaldum (5.91, 0.47); (5.98, 0.57)\n",
+ "Bourabia (5.91, 0.41); (5.94, 0.46)\n",
+ "Sottil (6.09, 0.58); (6.56, 1.03)\n",
+ "Aebischer (5.99, 0.45); (6.25, 0.70)\n",
+ "Ederson D.s. (5.88, 0.44); (6.04, 0.64)\n",
+ "Miretti (5.98, 0.38); (6.10, 0.44)\n",
+ "Blin (6.02, 0.33); (6.00, 0.31)\n",
+ "Hjulmand (5.98, 0.54); (6.09, 0.63)\n",
+ "Cataldi (6.02, 0.38); (6.03, 0.39)\n",
+ "Djuricic (5.82, 0.46); (5.94, 0.65)\n",
+ "Linetty (5.97, 0.43); (6.14, 0.62)\n",
+ "Haas (5.92, 0.41); (6.08, 0.58)\n",
+ "Walace (5.93, 0.38); (5.93, 0.40)\n",
+ "Agudelo (5.86, 0.36); (5.91, 0.42)\n",
+ "Pobega (5.99, 0.44); (6.28, 0.70)\n",
+ "Camara Ma. (6.13, 0.35); (6.18, 0.42)\n",
+ "Paredes (5.85, 0.35); (5.83, 0.31)\n",
+ "Ndombele' (5.96, 0.34); (5.94, 0.30)\n",
+ "Nicolussi Caviglia (5.76, 0.56); (5.92, 0.79)\n",
+ "Rovella (5.92, 0.48); (5.94, 0.48)\n",
+ "Amrabat (5.89, 0.44); (5.88, 0.48)\n",
+ "Tameze (5.91, 0.41); (5.94, 0.48)\n",
+ "Gyasi (5.88, 0.51); (6.07, 0.77)\n",
+ "Ilic (6.01, 0.45); (6.13, 0.56)\n",
+ "Matheus Henrique (5.94, 0.44); (6.07, 0.59)\n",
+ "Harroui (5.88, 0.42); (6.03, 0.59)\n",
+ "Volpato (6.05, 0.56); (6.58, 1.09)\n",
+ "Pickel (5.79, 0.38); (5.81, 0.47)\n",
+ "Moro N. (6.03, 0.34); (6.11, 0.40)\n",
+ "Duncan (5.92, 0.41); (6.05, 0.58)\n",
+ "Machin (5.91, 0.47); (6.02, 0.63)\n",
+ "Cuadrado (5.95, 0.48); (6.05, 0.57)\n",
+ "Ekdal (5.84, 0.37); (5.81, 0.38)\n",
+ "Meite' (5.85, 0.46); (5.88, 0.59)\n",
+ "Schouten (5.99, 0.40); (6.02, 0.44)\n",
+ "Obiang (5.98, 0.33); (5.98, 0.31)\n",
+ "Kovalenko (5.92, 0.39); (6.01, 0.50)\n",
+ "Crnigoj (5.93, 0.44); (6.13, 0.64)\n",
+ "Basic (5.98, 0.33); (6.05, 0.35)\n",
+ "Asllani (5.96, 0.33); (5.99, 0.32)\n",
+ "Sabiri (5.85, 0.46); (5.99, 0.66)\n",
+ "Terracciano F. (6.06, 0.32); (6.09, 0.34)\n",
+ "Castagnetti (5.87, 0.32); (5.87, 0.27)\n",
+ "Oudin (5.87, 0.34); (5.92, 0.33)\n",
+ "Grassi (5.92, 0.35); (5.91, 0.32)\n",
+ "Krunic (5.93, 0.40); (6.02, 0.49)\n",
+ "Rincon (5.80, 0.40); (5.76, 0.45)\n",
+ "Miguel Veloso (5.95, 0.37); (5.97, 0.38)\n",
+ "Leris (5.78, 0.40); (5.79, 0.51)\n",
+ "Esposito Sa. (5.83, 0.52); (5.90, 0.61)\n",
+ "Henderson L. (5.92, 0.39); (6.03, 0.49)\n",
+ "Lopez M. (5.90, 0.44); (5.89, 0.49)\n",
+ "Cuisance (5.79, 0.37); (5.75, 0.39)\n",
+ "Saelemaekers (5.85, 0.40); (5.97, 0.52)\n",
+ "Maggiore (5.93, 0.40); (6.05, 0.51)\n",
+ "Akpa Akpro (5.91, 0.46); (5.95, 0.56)\n",
+ "Maleh (5.97, 0.39); (6.17, 0.56)\n",
+ "Romero L. (6.20, 0.52); (6.80, 1.04)\n",
+ "Ceide (5.87, 0.36); (5.88, 0.36)\n",
+ "D'alessandro (6.06, 0.33); (6.15, 0.39)\n",
+ "Benassi (5.80, 0.34); (5.81, 0.35)\n",
+ "Gagliardini (5.84, 0.32); (5.86, 0.32)\n",
+ "Vieira (5.86, 0.35); (5.85, 0.42)\n",
+ "Bianco (6.03, 0.42); (6.15, 0.53)\n",
+ "Vranckx (6.07, 0.39); (6.25, 0.50)\n",
+ "Galdames (5.90, 0.47); (5.98, 0.64)\n",
+ "Marcos Antonio (5.94, 0.30); (5.91, 0.24)\n",
+ "Fazzini (5.79, 0.33); (5.73, 0.30)\n",
+ "Sulemana I. (5.87, 0.32); (5.86, 0.32)\n",
+ "Tahirovic (6.00, 0.30); (5.99, 0.27)\n",
+ "Abildgaard (5.90, 0.44); (5.93, 0.55)\n",
+ "Barberis (5.87, 0.49); (5.91, 0.57)\n",
+ "Kastanos (5.80, 0.33); (5.80, 0.32)\n",
+ "Vignato (5.95, 0.36); (5.98, 0.35)\n",
+ "Valoti (5.77, 0.33); (5.71, 0.32)\n",
+ "Winks (5.88, 0.45); (5.89, 0.51)\n",
+ "Askildsen (5.74, 0.33); (5.69, 0.32)\n",
+ "Bove (5.75, 0.37); (5.73, 0.41)\n",
+ "Bohinen (5.75, 0.31); (5.71, 0.26)\n",
+ "D'andrea (5.97, 0.39); (6.10, 0.50)\n",
+ "Iling-Junior (6.06, 0.36); (6.19, 0.45)\n",
+ "Cipot (5.87, 0.52); (6.00, 0.70)\n",
+ "Bakayoko (5.81, 0.39); (5.78, 0.36)\n",
+ "Gaetano (6.00, 0.42); (6.08, 0.51)\n",
+ "Zurkowski (6.12, 0.55); (6.66, 1.08)\n",
+ "Castrovilli (6.00, 0.46); (6.28, 0.72)\n",
+ "Demme (6.03, 0.37); (6.20, 0.48)\n",
+ "Darboe (5.95, 0.46); (5.98, 0.49)\n",
+ "Urbanski (5.98, 0.46); (6.09, 0.59)\n",
+ "Bertini (5.97, 0.45); (6.08, 0.56)\n",
+ "Yepes (5.79, 0.55); (5.79, 0.61)\n",
+ "Pyyhtia (6.00, 0.39); (6.07, 0.46)\n",
+ "Trimboli (5.88, 0.46); (5.92, 0.58)\n",
+ "Pafundi (5.95, 0.45); (6.04, 0.57)\n",
+ "Helgason (5.82, 0.32); (5.82, 0.28)\n",
+ "Adli (5.92, 0.40); (6.02, 0.52)\n",
+ "Vignato S. (6.04, 0.45); (6.18, 0.57)\n",
+ "Hrustic (5.75, 0.37); (5.72, 0.37)\n",
+ "Samek (5.96, 0.45); (6.05, 0.57)\n",
+ "Zerbin (6.05, 0.42); (6.19, 0.53)\n",
+ "Ilkhan (5.92, 0.49); (5.99, 0.57)\n",
+ "Degli Innocenti (5.90, 0.45); (5.94, 0.53)\n",
+ "Acella (5.90, 0.47); (5.98, 0.64)\n",
+ "Carboni V. (5.89, 0.47); (5.97, 0.59)\n",
+ "Paoletti (6.03, 0.40); (6.10, 0.45)\n",
+ "Malagrida (5.90, 0.46); (5.95, 0.58)\n",
+ "Faticanti (5.96, 0.45); (6.05, 0.56)\n",
+ "Osimhen (6.49, 0.75); (7.89, 2.22)\n",
+ "Martinez L. (6.32, 0.71); (7.68, 2.04)\n",
+ "Dybala (6.49, 0.67); (7.48, 1.61)\n",
+ "Rafael Leao (6.32, 0.71); (7.44, 1.82)\n",
+ "Lookman (6.40, 0.72); (7.68, 2.00)\n",
+ "Immobile (6.30, 0.71); (7.65, 2.02)\n",
+ "Vlahovic (6.29, 0.72); (7.73, 2.12)\n",
+ "Arnautovic (6.21, 0.67); (7.33, 1.73)\n",
+ "Dia (6.12, 0.68); (7.25, 1.73)\n",
+ "Dzeko (6.20, 0.67); (7.31, 1.71)\n",
+ "Milik (6.29, 0.62); (7.19, 1.48)\n",
+ "Nzola (6.11, 0.66); (7.22, 1.69)\n",
+ "Beto (6.06, 0.61); (6.94, 1.42)\n",
+ "Giroud (6.13, 0.65); (6.97, 1.45)\n",
+ "Abraham (6.19, 0.65); (7.28, 1.69)\n",
+ "Deulofeu (6.30, 0.64); (7.19, 1.48)\n",
+ "Lauriente' (6.28, 0.68); (7.19, 1.59)\n",
+ "Simeone (6.25, 0.70); (7.47, 1.86)\n",
+ "Lozano (6.15, 0.59); (6.89, 1.27)\n",
+ "Correa (6.11, 0.50); (6.81, 1.10)\n",
+ "Berardi (6.28, 0.71); (7.53, 1.94)\n",
+ "Pedro (6.20, 0.57); (6.86, 1.19)\n",
+ "Lukaku (5.96, 0.56); (6.48, 1.04)\n",
+ "Sanabria (6.01, 0.58); (6.58, 1.11)\n",
+ "Thauvin (6.38, 0.65); (7.30, 1.52)\n",
+ "Cabral (6.01, 0.57); (6.57, 1.10)\n",
+ "Hojlund (6.07, 0.62); (6.88, 1.38)\n",
+ "Caprari (5.99, 0.54); (6.51, 1.03)\n",
+ "Di Maria (6.26, 0.67); (7.21, 1.61)\n",
+ "Piatek (5.89, 0.54); (6.34, 0.96)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Simeone (6.41, 0.68); (7.76, 2.14)\n",
- "Lozano (6.29, 0.58); (7.26, 1.57)\n",
- "Correa (6.16, 0.48); (6.85, 1.20)\n",
- "Berardi (6.41, 0.72); (7.77, 2.28)\n",
- "Pedro (6.22, 0.56); (7.05, 1.41)\n",
- "Lukaku (6.02, 0.58); (6.74, 1.26)\n",
- "Sanabria (6.12, 0.57); (6.89, 1.33)\n",
- "Thauvin (6.44, 0.65); (7.75, 2.08)\n",
- "Cabral (6.02, 0.56); (6.67, 1.17)\n",
- "Hojlund (6.21, 0.63); (7.29, 1.72)\n",
- "Caprari (6.03, 0.54); (6.61, 1.08)\n",
- "Di Maria (6.38, 0.67); (7.48, 1.91)\n",
- "Piatek (6.03, 0.62); (7.01, 1.56)\n",
- "Rebic (6.16, 0.66); (7.21, 1.73)\n",
- "Bonazzoli (6.01, 0.50); (6.58, 1.03)\n",
- "Zapata D. (6.00, 0.53); (6.51, 1.01)\n",
- "Kouame' (6.04, 0.56); (6.65, 1.13)\n",
- "Gonzalez N. (6.30, 0.64); (7.35, 1.79)\n",
- "Brekalo (6.07, 0.57); (6.80, 1.27)\n",
- "Mota (6.15, 0.65); (7.18, 1.68)\n",
- "Kean (6.10, 0.60); (6.92, 1.43)\n",
- "Okereke (5.98, 0.56); (6.61, 1.13)\n",
- "Ceesay (5.99, 0.48); (6.45, 0.91)\n",
- "Colombo (6.13, 0.58); (6.96, 1.41)\n",
- "Dessers (5.99, 0.49); (6.46, 0.93)\n",
- "Muriel (6.28, 0.66); (7.34, 1.83)\n",
- "Pinamonti (5.88, 0.55); (6.47, 1.08)\n",
- "Di Francesco F. (6.01, 0.50); (6.46, 0.92)\n",
- "Jovic (5.81, 0.56); (6.39, 1.05)\n",
- "Origi (5.97, 0.57); (6.54, 1.09)\n",
- "Caputo (6.11, 0.60); (6.97, 1.44)\n",
- "Boga (6.49, 0.64); (7.74, 1.98)\n",
- "Cambiaghi (6.09, 0.48); (6.58, 0.92)\n",
- "Alvarez A. (6.00, 0.55); (6.65, 1.16)\n",
- "Banda (6.01, 0.39); (6.24, 0.60)\n",
- "Ciofani D. (6.05, 0.52); (6.74, 1.18)\n",
- "Petagna (5.74, 0.46); (6.02, 0.70)\n",
- "Barrow (5.99, 0.57); (6.78, 1.32)\n",
- "Djuric (5.96, 0.38); (6.18, 0.63)\n",
- "Henry (5.83, 0.52); (6.31, 0.94)\n",
- "Success (5.97, 0.31); (6.04, 0.45)\n",
- "Gabbiadini (5.76, 0.53); (6.30, 0.97)\n",
- "Zirkzee (6.04, 0.49); (6.57, 1.02)\n",
- "Lammers (5.71, 0.43); (5.95, 0.61)\n",
- "Satriano (5.85, 0.42); (6.09, 0.65)\n",
- "Kallon (5.87, 0.44); (6.20, 0.74)\n",
- "Nestorovski (6.11, 0.41); (6.54, 0.87)\n",
- "Raspadori (6.08, 0.46); (6.55, 0.92)\n",
- "Botheim (5.82, 0.47); (6.19, 0.79)\n",
- "Gytkjaer (5.81, 0.43); (6.12, 0.71)\n",
- "Solbakken (5.99, 0.40); (6.11, 0.50)\n",
- "Lasagna (5.73, 0.45); (5.98, 0.65)\n",
- "Belotti (5.70, 0.31); (5.76, 0.36)\n",
- "Pellegri (5.86, 0.42); (6.18, 0.71)\n",
- "Buonaiuto (5.94, 0.37); (6.11, 0.54)\n",
- "Verde (6.03, 0.50); (6.58, 1.00)\n",
- "Destro (5.98, 0.60); (6.81, 1.38)\n",
- "Seck (6.04, 0.31); (6.15, 0.40)\n",
- "Sansone (5.90, 0.46); (6.25, 0.79)\n",
- "Quagliarella (5.77, 0.38); (5.94, 0.55)\n",
- "Defrel (5.74, 0.47); (6.05, 0.73)\n",
- "Pjaca (5.86, 0.41); (6.02, 0.55)\n",
- "Gaich (5.72, 0.53); (6.23, 0.92)\n",
- "Soule' (6.09, 0.31); (6.23, 0.43)\n",
- "Tsadjout (5.85, 0.46); (6.17, 0.77)\n",
- "Piccoli (5.81, 0.27); (5.82, 0.33)\n",
- "Shomurodov (5.95, 0.47); (6.37, 0.87)\n",
- "Afena-Gyan (5.61, 0.34); (5.71, 0.43)\n",
- "Ngonge (5.85, 0.42); (5.96, 0.55)\n",
- "Karamoh (5.88, 0.34); (5.93, 0.40)\n",
- "Ibrahimovic (6.38, 0.65); (7.77, 2.11)\n",
- "Pussetto (5.77, 0.50); (6.20, 0.86)\n",
- "Cancellieri (5.82, 0.25); (5.83, 0.28)\n",
- "Valencia D. (5.77, 0.28); (5.82, 0.38)\n",
- "Oddei (5.89, 0.38); (5.90, 0.42)\n",
- "Braaf (5.76, 0.50); (6.15, 0.85)\n",
- "Raimondo (5.93, 0.39); (6.02, 0.50)\n",
- "Kaio Jorge (5.86, 0.28); (5.89, 0.32)\n",
- "De Luca (5.79, 0.46); (5.94, 0.62)\n",
- "Voelkerling Persson (5.99, 0.37); (6.10, 0.45)\n",
- "Montevago (5.70, 0.41); (5.77, 0.46)\n",
- "Krollis (5.81, 0.44); (5.97, 0.63)\n",
- "Vivaldo (5.91, 0.43); (6.01, 0.56)\n"
+ "Rebic (6.19, 0.67); (6.98, 1.46)\n",
+ "Bonazzoli (6.01, 0.50); (6.43, 0.88)\n",
+ "Zapata D. (5.89, 0.50); (6.25, 0.84)\n",
+ "Kouame' (6.01, 0.58); (6.51, 1.07)\n",
+ "Gonzalez N. (6.23, 0.62); (7.02, 1.36)\n",
+ "Brekalo (6.05, 0.58); (6.64, 1.14)\n",
+ "Mota (6.07, 0.63); (6.87, 1.38)\n",
+ "Kean (6.06, 0.62); (6.74, 1.27)\n",
+ "Okereke (5.95, 0.55); (6.41, 1.00)\n",
+ "Ceesay (5.99, 0.49); (6.46, 0.90)\n",
+ "Colombo (6.06, 0.60); (6.68, 1.20)\n",
+ "Dessers (5.95, 0.50); (6.38, 0.91)\n",
+ "Muriel (6.12, 0.63); (6.76, 1.28)\n",
+ "Pinamonti (5.90, 0.55); (6.37, 0.99)\n",
+ "Di Francesco F. (6.05, 0.52); (6.45, 0.91)\n",
+ "Jovic (5.96, 0.56); (6.37, 0.98)\n",
+ "Origi (5.96, 0.56); (6.39, 0.99)\n",
+ "Caputo (6.01, 0.59); (6.72, 1.26)\n",
+ "Boga (6.42, 0.65); (7.26, 1.40)\n",
+ "Cambiaghi (6.10, 0.48); (6.53, 0.84)\n",
+ "Alvarez A. (6.03, 0.56); (6.50, 1.03)\n",
+ "Banda (5.99, 0.39); (6.18, 0.53)\n",
+ "Ciofani D. (5.98, 0.52); (6.44, 0.96)\n",
+ "Petagna (5.97, 0.56); (6.46, 1.03)\n",
+ "Barrow (6.05, 0.60); (6.58, 1.12)\n",
+ "Djuric (5.98, 0.38); (6.17, 0.51)\n",
+ "Henry (5.89, 0.52); (6.25, 0.87)\n",
+ "Success (5.94, 0.37); (6.10, 0.50)\n",
+ "Gabbiadini (5.96, 0.58); (6.45, 1.06)\n",
+ "Zirkzee (6.04, 0.51); (6.50, 0.89)\n",
+ "Lammers (5.83, 0.41); (5.94, 0.55)\n",
+ "Satriano (5.86, 0.45); (6.00, 0.62)\n",
+ "Kallon (5.87, 0.41); (6.02, 0.58)\n",
+ "Nestorovski (6.23, 0.50); (7.01, 1.13)\n",
+ "Raspadori (6.02, 0.52); (6.50, 0.96)\n",
+ "Botheim (5.90, 0.49); (6.28, 0.84)\n",
+ "Gytkjaer (5.85, 0.44); (6.08, 0.67)\n",
+ "Solbakken (6.12, 0.51); (6.38, 0.73)\n",
+ "Lasagna (5.78, 0.43); (5.89, 0.56)\n",
+ "Belotti (5.69, 0.33); (5.71, 0.33)\n",
+ "Pellegri (5.94, 0.47); (6.20, 0.75)\n",
+ "Buonaiuto (5.92, 0.37); (6.05, 0.48)\n",
+ "Verde (6.01, 0.48); (6.45, 0.89)\n",
+ "Destro (5.95, 0.59); (6.47, 1.09)\n",
+ "Seck (6.10, 0.35); (6.23, 0.45)\n",
+ "Sansone (5.96, 0.50); (6.23, 0.80)\n",
+ "Quagliarella (5.83, 0.39); (5.91, 0.50)\n",
+ "Defrel (5.87, 0.48); (6.10, 0.73)\n",
+ "Pjaca (5.87, 0.43); (6.01, 0.56)\n",
+ "Gaich (5.86, 0.52); (6.23, 0.88)\n",
+ "Soule' (6.18, 0.40); (6.49, 0.65)\n",
+ "Tsadjout (5.83, 0.39); (5.91, 0.51)\n",
+ "Piccoli (5.96, 0.56); (6.53, 1.09)\n",
+ "Shomurodov (6.01, 0.53); (6.52, 1.01)\n",
+ "Afena-Gyan (5.68, 0.33); (5.65, 0.33)\n",
+ "Ngonge (6.01, 0.46); (6.19, 0.64)\n",
+ "Karamoh (5.92, 0.49); (6.24, 0.78)\n",
+ "Ibrahimovic (6.23, 0.64); (7.23, 1.56)\n",
+ "Pussetto (5.90, 0.51); (6.26, 0.87)\n",
+ "Cancellieri (5.77, 0.29); (5.79, 0.24)\n",
+ "Valencia D. (5.73, 0.29); (5.68, 0.30)\n",
+ "Oddei (6.08, 0.45); (6.28, 0.62)\n",
+ "Braaf (5.89, 0.50); (5.99, 0.69)\n",
+ "Raimondo (6.00, 0.48); (6.18, 0.66)\n",
+ "Kaio Jorge (5.87, 0.30); (5.93, 0.26)\n",
+ "De Luca (5.90, 0.47); (5.99, 0.63)\n",
+ "Voelkerling Persson (5.86, 0.41); (5.88, 0.45)\n",
+ "Montevago (5.66, 0.32); (5.61, 0.32)\n",
+ "Krollis (5.91, 0.49); (6.02, 0.67)\n",
+ "Vivaldo (5.94, 0.47); (6.07, 0.63)\n"
]
},
{
@@ -6176,6 +8776,28 @@
" \n",
" \n",
" \n",
+ " Sportiello \n",
+ " P \n",
+ " Atalanta \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 6.231651 \n",
+ " 0.415321 \n",
+ " 5.752200 \n",
+ " 0.466398 \n",
+ " 5.991827 \n",
+ " 0.261492 \n",
+ " 0.593656 \n",
+ " 1.589764 \n",
+ " 6.155690 \n",
+ " 0.590086 \n",
+ " -0.468942 \n",
+ " 1.056474 \n",
+ " 51.863781 \n",
+ " \n",
+ " \n",
" Musso \n",
" P \n",
" Atalanta \n",
@@ -6183,19 +8805,19 @@
" 1 \n",
" 1 \n",
" 100 \n",
- " 6.249807 \n",
- " 0.509950 \n",
- " 5.836337 \n",
- " 0.631707 \n",
- " 6.018064 \n",
- " 0.351376 \n",
- " 0.444477 \n",
- " 1.997621 \n",
- " 6.347169 \n",
- " 0.802586 \n",
- " -0.445304 \n",
- " 1.381827 \n",
- " 66.118824 \n",
+ " 6.236096 \n",
+ " 0.406723 \n",
+ " 4.987762 \n",
+ " 0.628655 \n",
+ " 6.006006 \n",
+ " 0.265851 \n",
+ " 0.567340 \n",
+ " 1.590164 \n",
+ " 5.437433 \n",
+ " 0.847580 \n",
+ " -0.382434 \n",
+ " 1.026447 \n",
+ " 25.157676 \n",
" \n",
" \n",
" Rossi F. \n",
@@ -6205,62 +8827,40 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 6.249807 \n",
- " 0.509950 \n",
- " 5.836337 \n",
- " 0.631707 \n",
- " 6.018064 \n",
- " 0.351376 \n",
- " 0.444477 \n",
- " 1.997621 \n",
- " 6.347169 \n",
- " 0.802586 \n",
- " -0.445304 \n",
- " 1.381827 \n",
- " 66.118824 \n",
+ " 6.000138 \n",
+ " 0.455728 \n",
+ " 3.421253 \n",
+ " 1.069372 \n",
+ " 5.743456 \n",
+ " 0.302220 \n",
+ " 0.559217 \n",
+ " 1.584953 \n",
+ " 4.515615 \n",
+ " 0.947310 \n",
+ " -0.858268 \n",
+ " 0.971322 \n",
+ " 0.053009 \n",
" \n",
" \n",
- " Sportiello \n",
- " P \n",
- " Atalanta \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 0 \n",
- " 6.251529 \n",
- " 0.648099 \n",
- " 5.446271 \n",
- " 0.787110 \n",
- " 6.016531 \n",
- " 0.577649 \n",
- " 0.287288 \n",
- " 1.996894 \n",
- " 6.129120 \n",
- " 0.963281 \n",
- " -0.498532 \n",
- " 1.234413 \n",
- " 47.004265 \n",
- " \n",
- " \n",
- " Maehle \n",
+ " Toloi \n",
" D \n",
" Atalanta \n",
" Avg \n",
" 1 \n",
" 1 \n",
- " 90 \n",
- " 6.048661 \n",
- " 0.433474 \n",
- " 6.479866 \n",
- " 0.818422 \n",
- " 5.936080 \n",
- " 0.470499 \n",
- " 0.176782 \n",
- " 1.334698 \n",
- " 5.775224 \n",
- " 0.973522 \n",
- " 0.468853 \n",
- " 1.987917 \n",
+ " 76 \n",
+ " 6.182471 \n",
+ " 0.497041 \n",
+ " 6.510197 \n",
+ " 0.767526 \n",
+ " 6.118215 \n",
+ " 0.568353 \n",
+ " 0.083237 \n",
+ " 0.974107 \n",
+ " 5.949116 \n",
+ " 1.045715 \n",
+ " 0.376768 \n",
+ " 1.599878 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6271,18 +8871,18 @@
" 1 \n",
" 1 \n",
" 80 \n",
- " 6.081365 \n",
- " 0.488378 \n",
- " 6.413559 \n",
- " 0.805035 \n",
- " 6.103627 \n",
- " 0.594670 \n",
- " -0.027746 \n",
- " 1.144796 \n",
- " 5.798996 \n",
- " 1.114906 \n",
- " 0.375052 \n",
- " 1.985990 \n",
+ " 6.106335 \n",
+ " 0.542263 \n",
+ " 6.484568 \n",
+ " 0.888150 \n",
+ " 6.035203 \n",
+ " 0.618826 \n",
+ " 0.084394 \n",
+ " 0.943202 \n",
+ " 5.800193 \n",
+ " 1.167502 \n",
+ " 0.407405 \n",
+ " 1.599853 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6308,25 +8908,25 @@
" ... \n",
" \n",
" \n",
- " Kallon \n",
+ " Ngonge \n",
" A \n",
" Verona \n",
" Avg \n",
" 1 \n",
" 0 \n",
- " 80 \n",
- " 5.866606 \n",
- " 0.435109 \n",
- " 6.203196 \n",
- " 0.739764 \n",
- " 5.768876 \n",
- " 0.482605 \n",
- " 0.149849 \n",
- " 1.340647 \n",
- " 5.560790 \n",
- " 0.867570 \n",
- " 0.477124 \n",
- " 1.989097 \n",
+ " 9 \n",
+ " 6.012385 \n",
+ " 0.460914 \n",
+ " 6.192769 \n",
+ " 0.642234 \n",
+ " 5.948507 \n",
+ " 0.526957 \n",
+ " 0.089440 \n",
+ " 1.027153 \n",
+ " 5.753753 \n",
+ " 0.909869 \n",
+ " 0.343063 \n",
+ " 1.599884 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6336,19 +8936,41 @@
" Avg \n",
" 1 \n",
" 0 \n",
- " 80 \n",
- " 5.959638 \n",
- " 0.381648 \n",
- " 6.181534 \n",
- " 0.631299 \n",
- " 5.888130 \n",
- " 0.433246 \n",
- " 0.122327 \n",
- " 1.420676 \n",
- " 5.669064 \n",
- " 0.816720 \n",
- " 0.417531 \n",
- " 1.989698 \n",
+ " 76 \n",
+ " 5.983204 \n",
+ " 0.382559 \n",
+ " 6.169758 \n",
+ " 0.513984 \n",
+ " 5.921325 \n",
+ " 0.435583 \n",
+ " 0.104966 \n",
+ " 1.118263 \n",
+ " 5.821442 \n",
+ " 0.731387 \n",
+ " 0.339015 \n",
+ " 1.599905 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Kallon \n",
+ " A \n",
+ " Verona \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 76 \n",
+ " 5.872636 \n",
+ " 0.412638 \n",
+ " 6.024773 \n",
+ " 0.580459 \n",
+ " 5.801579 \n",
+ " 0.467657 \n",
+ " 0.112188 \n",
+ " 1.094201 \n",
+ " 5.584190 \n",
+ " 0.771489 \n",
+ " 0.398869 \n",
+ " 1.599887 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6358,19 +8980,19 @@
" Avg \n",
" 1 \n",
" 0 \n",
- " 5 \n",
- " 5.756974 \n",
- " 0.499056 \n",
- " 6.154046 \n",
- " 0.848913 \n",
- " 5.645543 \n",
- " 0.554309 \n",
- " 0.148477 \n",
- " 1.195396 \n",
- " 5.418990 \n",
- " 1.000250 \n",
- " 0.474455 \n",
- " 1.986593 \n",
+ " 4 \n",
+ " 5.890489 \n",
+ " 0.499580 \n",
+ " 5.989770 \n",
+ " 0.687150 \n",
+ " 5.854036 \n",
+ " 0.580856 \n",
+ " 0.046250 \n",
+ " 1.000402 \n",
+ " 5.530768 \n",
+ " 0.984864 \n",
+ " 0.332306 \n",
+ " 1.599853 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6381,108 +9003,86 @@
" 1 \n",
" 1 \n",
" 80 \n",
- " 5.733838 \n",
- " 0.445294 \n",
- " 5.975440 \n",
- " 0.654683 \n",
- " 5.651345 \n",
- " 0.504705 \n",
- " 0.121175 \n",
- " 1.312900 \n",
- " 5.437752 \n",
- " 0.834783 \n",
- " 0.426972 \n",
- " 1.989348 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " Ngonge \n",
- " A \n",
- " Verona \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 5 \n",
- " 5.847426 \n",
- " 0.420564 \n",
- " 5.956775 \n",
- " 0.551352 \n",
- " 5.813974 \n",
- " 0.500996 \n",
- " 0.049395 \n",
- " 1.316207 \n",
- " 5.610939 \n",
- " 0.880707 \n",
- " 0.276178 \n",
- " 1.988667 \n",
+ " 5.778522 \n",
+ " 0.428915 \n",
+ " 5.888383 \n",
+ " 0.559543 \n",
+ " 5.707819 \n",
+ " 0.487241 \n",
+ " 0.107039 \n",
+ " 1.083248 \n",
+ " 5.472644 \n",
+ " 0.754283 \n",
+ " 0.386147 \n",
+ " 1.599887 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "543 rows × 19 columns
\n",
+ "520 rows × 19 columns
\n",
""
],
"text/plain": [
" role team oppteam home starter vote% MV MV std \\\n",
"player \n",
- "Musso P Atalanta Avg 1 1 100 6.249807 0.509950 \n",
- "Rossi F. P Atalanta Avg 1 0 0 6.249807 0.509950 \n",
- "Sportiello P Atalanta Avg 1 0 0 6.251529 0.648099 \n",
- "Maehle D Atalanta Avg 1 1 90 6.048661 0.433474 \n",
- "Scalvini D Atalanta Avg 1 1 80 6.081365 0.488378 \n",
+ "Sportiello P Atalanta Avg 1 0 0 6.231651 0.415321 \n",
+ "Musso P Atalanta Avg 1 1 100 6.236096 0.406723 \n",
+ "Rossi F. P Atalanta Avg 1 0 0 6.000138 0.455728 \n",
+ "Toloi D Atalanta Avg 1 1 76 6.182471 0.497041 \n",
+ "Scalvini D Atalanta Avg 1 1 80 6.106335 0.542263 \n",
"... ... ... ... ... ... ... ... ... \n",
- "Kallon A Verona Avg 1 0 80 5.866606 0.435109 \n",
- "Djuric A Verona Avg 1 0 80 5.959638 0.381648 \n",
- "Braaf A Verona Avg 1 0 5 5.756974 0.499056 \n",
- "Lasagna A Verona Avg 1 1 80 5.733838 0.445294 \n",
- "Ngonge A Verona Avg 1 0 5 5.847426 0.420564 \n",
+ "Ngonge A Verona Avg 1 0 9 6.012385 0.460914 \n",
+ "Djuric A Verona Avg 1 0 76 5.983204 0.382559 \n",
+ "Kallon A Verona Avg 1 0 76 5.872636 0.412638 \n",
+ "Braaf A Verona Avg 1 0 4 5.890489 0.499580 \n",
+ "Lasagna A Verona Avg 1 1 80 5.778522 0.428915 \n",
"\n",
" FV FV std MV loc MV scale MV skewness \\\n",
"player \n",
- "Musso 5.836337 0.631707 6.018064 0.351376 0.444477 \n",
- "Rossi F. 5.836337 0.631707 6.018064 0.351376 0.444477 \n",
- "Sportiello 5.446271 0.787110 6.016531 0.577649 0.287288 \n",
- "Maehle 6.479866 0.818422 5.936080 0.470499 0.176782 \n",
- "Scalvini 6.413559 0.805035 6.103627 0.594670 -0.027746 \n",
+ "Sportiello 5.752200 0.466398 5.991827 0.261492 0.593656 \n",
+ "Musso 4.987762 0.628655 6.006006 0.265851 0.567340 \n",
+ "Rossi F. 3.421253 1.069372 5.743456 0.302220 0.559217 \n",
+ "Toloi 6.510197 0.767526 6.118215 0.568353 0.083237 \n",
+ "Scalvini 6.484568 0.888150 6.035203 0.618826 0.084394 \n",
"... ... ... ... ... ... \n",
- "Kallon 6.203196 0.739764 5.768876 0.482605 0.149849 \n",
- "Djuric 6.181534 0.631299 5.888130 0.433246 0.122327 \n",
- "Braaf 6.154046 0.848913 5.645543 0.554309 0.148477 \n",
- "Lasagna 5.975440 0.654683 5.651345 0.504705 0.121175 \n",
- "Ngonge 5.956775 0.551352 5.813974 0.500996 0.049395 \n",
+ "Ngonge 6.192769 0.642234 5.948507 0.526957 0.089440 \n",
+ "Djuric 6.169758 0.513984 5.921325 0.435583 0.104966 \n",
+ "Kallon 6.024773 0.580459 5.801579 0.467657 0.112188 \n",
+ "Braaf 5.989770 0.687150 5.854036 0.580856 0.046250 \n",
+ "Lasagna 5.888383 0.559543 5.707819 0.487241 0.107039 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Musso 1.997621 6.347169 0.802586 -0.445304 1.381827 \n",
- "Rossi F. 1.997621 6.347169 0.802586 -0.445304 1.381827 \n",
- "Sportiello 1.996894 6.129120 0.963281 -0.498532 1.234413 \n",
- "Maehle 1.334698 5.775224 0.973522 0.468853 1.987917 \n",
- "Scalvini 1.144796 5.798996 1.114906 0.375052 1.985990 \n",
+ "Sportiello 1.589764 6.155690 0.590086 -0.468942 1.056474 \n",
+ "Musso 1.590164 5.437433 0.847580 -0.382434 1.026447 \n",
+ "Rossi F. 1.584953 4.515615 0.947310 -0.858268 0.971322 \n",
+ "Toloi 0.974107 5.949116 1.045715 0.376768 1.599878 \n",
+ "Scalvini 0.943202 5.800193 1.167502 0.407405 1.599853 \n",
"... ... ... ... ... ... \n",
- "Kallon 1.340647 5.560790 0.867570 0.477124 1.989097 \n",
- "Djuric 1.420676 5.669064 0.816720 0.417531 1.989698 \n",
- "Braaf 1.195396 5.418990 1.000250 0.474455 1.986593 \n",
- "Lasagna 1.312900 5.437752 0.834783 0.426972 1.989348 \n",
- "Ngonge 1.316207 5.610939 0.880707 0.276178 1.988667 \n",
+ "Ngonge 1.027153 5.753753 0.909869 0.343063 1.599884 \n",
+ "Djuric 1.118263 5.821442 0.731387 0.339015 1.599905 \n",
+ "Kallon 1.094201 5.584190 0.771489 0.398869 1.599887 \n",
+ "Braaf 1.000402 5.530768 0.984864 0.332306 1.599853 \n",
+ "Lasagna 1.083248 5.472644 0.754283 0.386147 1.599887 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Musso 66.118824 \n",
- "Rossi F. 66.118824 \n",
- "Sportiello 47.004265 \n",
- "Maehle 0.000000 \n",
+ "Sportiello 51.863781 \n",
+ "Musso 25.157676 \n",
+ "Rossi F. 0.053009 \n",
+ "Toloi 0.000000 \n",
"Scalvini 0.000000 \n",
"... ... \n",
- "Kallon 0.000000 \n",
+ "Ngonge 0.000000 \n",
"Djuric 0.000000 \n",
+ "Kallon 0.000000 \n",
"Braaf 0.000000 \n",
"Lasagna 0.000000 \n",
- "Ngonge 0.000000 \n",
"\n",
- "[543 rows x 19 columns]"
+ "[520 rows x 19 columns]"
]
},
- "execution_count": 96,
+ "execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
@@ -6495,68 +9095,71 @@
"current_season_games = max(players_orig['games'])\n",
"\n",
"for i in range(players.shape[0]):\n",
- " home = 0\n",
- " \n",
- " for k in range(tot_matches):\n",
- " #matchday_out = k + 1\n",
- " #[player, team, oppteam, home] = PlayerMatch(players.index[i], matchday_out)\n",
- " \n",
- " player = players.index[i]\n",
- " team = players['team'][i]\n",
- " oppteam = 'Avg'\n",
- " home = not home\n",
+ " try:\n",
+ " home = 0\n",
"\n",
- " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home)\n",
+ " for k in range(tot_matches):\n",
+ " #matchday_out = k + 1\n",
+ " #[player, team, oppteam, home] = PlayerMatch(players.index[i], matchday_out)\n",
"\n",
- " role = players['r'][player] \n",
+ " player = players.index[i]\n",
+ " team = players['team'][i]\n",
+ " oppteam = 'Avg'\n",
+ " home = not home\n",
"\n",
- " starter = 0\n",
- " voteperc = 0\n",
+ " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home)\n",
"\n",
- " games = max( players_orig['games'][i], players_orig['gk_games'][i] )\n",
- " mins = max( players_orig['minutes'][i], players_orig['gk_minutes'][i] )\n",
- " \n",
- " cs = 0\n",
- " if(role == 'P'):\n",
- " cs = dist[2].probs.numpy()[0] * 100\n",
- " \n",
- " starter = int( player in gk_starters )\n",
- " if(starter):\n",
- " voteperc = 100\n",
+ " role = players['r'][player] \n",
+ "\n",
+ " starter = 0\n",
+ " voteperc = 0\n",
+ "\n",
+ " games = max( players_orig['games'][i], players_orig['gk_games'][i] )\n",
+ " mins = max( players_orig['minutes'][i], players_orig['gk_minutes'][i] )\n",
+ "\n",
+ " cs = 0\n",
+ " if(role == 'P'):\n",
+ " cs = dist[2].probs.numpy()[0] * 100\n",
+ "\n",
+ " starter = int( player in gk_starters )\n",
+ " if(starter):\n",
+ " voteperc = 100\n",
+ " else:\n",
+ " voteperc = 0\n",
" else:\n",
- " voteperc = 0\n",
- " else:\n",
- " starter = int ( 1 * (games >= current_season_games * 2/3 and mins / games >= 45 ) )\n",
- " voteperc = int( min( 1, games / current_season_games ) * 100) \n",
+ " starter = int ( 1 * (games >= current_season_games * 2/3 and mins / games >= 45 ) )\n",
+ " voteperc = int( min( 1, games / current_season_games ) * 100) \n",
"\n",
- " if(k == 0):\n",
- " row = [player, role, team, 'Avg', 1, starter, voteperc]\n",
- " \n",
- " numrow_ = [mean[0], std[0], \n",
- " mean[1], std[1], \n",
- " dist[0].loc.numpy()[0], dist[0].scale.numpy()[0], \n",
- " dist[0].skewness.numpy()[0], dist[0].tailweight.numpy()[0], \n",
- " dist[1].loc.numpy()[0], dist[1].scale.numpy()[0], \n",
- " dist[1].skewness.numpy()[0], dist[1].tailweight.numpy()[0],\n",
- " cs] \n",
+ " if(k == 0):\n",
+ " row = [player, role, team, 'Avg', 1, starter, voteperc]\n",
"\n",
- " if(k == 0):\n",
- " numrow = numrow_\n",
- " else:\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] += numrow_[j]\n",
+ " numrow_ = [mean[0], std[0], \n",
+ " mean[1], std[1], \n",
+ " dist[0].loc.numpy()[0], dist[0].scale.numpy()[0], \n",
+ " dist[0].skewness.numpy()[0], dist[0].tailweight.numpy()[0], \n",
+ " dist[1].loc.numpy()[0], dist[1].scale.numpy()[0], \n",
+ " dist[1].skewness.numpy()[0], dist[1].tailweight.numpy()[0],\n",
+ " cs] \n",
"\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] /= tot_matches\n",
- " \n",
- " print(players.index[i] + ' (' + \"{:.2f}\".format(numrow[0]) + ', ' + \"{:.2f}\".format(numrow[1]) + \n",
- " '); (' + \"{:.2f}\".format(numrow[2]) + ', ' + \"{:.2f}\".format(numrow[3]) + ')' )\n",
- " \n",
- " row += numrow # list concat\n",
- " \n",
- " row_df = pd.DataFrame(data = [row], columns = output.columns)\n",
+ " if(k == 0):\n",
+ " numrow = numrow_\n",
+ " else:\n",
+ " for j in range(len(numrow)):\n",
+ " numrow[j] += numrow_[j]\n",
"\n",
- " output = pd.concat([output, row_df])\n",
+ " for j in range(len(numrow)):\n",
+ " numrow[j] /= tot_matches\n",
+ "\n",
+ " print(players.index[i] + ' (' + \"{:.2f}\".format(numrow[0]) + ', ' + \"{:.2f}\".format(numrow[1]) + \n",
+ " '); (' + \"{:.2f}\".format(numrow[2]) + ', ' + \"{:.2f}\".format(numrow[3]) + ')' )\n",
+ "\n",
+ " row += numrow # list concat\n",
+ "\n",
+ " row_df = pd.DataFrame(data = [row], columns = output.columns)\n",
+ "\n",
+ " output = pd.concat([output, row_df])\n",
+ " except:\n",
+ " print(players.index[i] + ' no data')\n",
" \n",
" \n",
"\n",
@@ -6570,7 +9173,7 @@
},
{
"cell_type": "code",
- "execution_count": 97,
+ "execution_count": 62,
"id": "b47cbd63",
"metadata": {},
"outputs": [],
@@ -6588,691 +9191,6 @@
" output.to_excel(writer, sheet_name='data')"
]
},
- {
- "cell_type": "markdown",
- "id": "a9687e92",
- "metadata": {},
- "source": [
- "Same code but considering previous season"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "id": "89e1dc82",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Meret (5.79, 0.46); (5.22, 0.60)\n",
- "Provedel (6.40, 0.38); (4.78, 0.71)\n",
- "Maignan (6.38, 0.38); (5.01, 0.67)\n",
- "Silvestri (6.40, 0.38); (4.53, 0.74)\n",
- "Sepe (6.38, 0.37); (4.77, 0.71)\n",
- "Szczesny (6.29, 0.39); (5.05, 0.66)\n",
- "Consigli (6.31, 0.37); (4.42, 0.76)\n",
- "Falcone (6.33, 0.41); (5.23, 0.64)\n",
- "Musso (6.39, 0.37); (4.71, 0.72)\n",
- "Vicario (6.40, 0.38); (4.57, 0.74)\n",
- "Rui Patricio (6.36, 0.38); (4.57, 0.73)\n",
- "Milinkovic-Savic V. (6.28, 0.36); (4.68, 0.72)\n",
- "Audero (6.32, 0.36); (4.39, 0.77)\n",
- "Montipo' (6.37, 0.36); (4.63, 0.73)\n",
- "Sportiello (6.33, 0.41); (5.58, 0.59)\n",
- "Skorupski (6.39, 0.39); (4.61, 0.73)\n",
- "Di Gregorio (6.13, 0.40); (4.30, 0.76)\n",
- "Perin (6.23, 0.41); (5.53, 0.59)\n",
- "Handanovic (6.44, 0.39); (4.66, 0.73)\n",
- "Tatarusanu (6.06, 0.43); (5.47, 0.59)\n",
- "Gollini (6.03, 0.41); (5.40, 0.60)\n",
- "Dragowski (5.66, 0.42); (3.79, 0.84)\n",
- "Terracciano (6.22, 0.34); (4.44, 0.75)\n",
- "Berisha (6.26, 0.43); (5.58, 0.59)\n",
- "Radu I. (5.33, 0.40); (3.14, 0.99)\n",
- "Cragno (6.36, 0.36); (4.65, 0.72)\n",
- "Luis Maximiano (6.05, 0.46); (5.19, 0.62)\n",
- "Onana (6.23, 0.37); (5.38, 0.62)\n",
- "Carnesecchi (6.27, 0.45); (5.50, 0.60)\n",
- "Mirante (6.38, 0.38); (5.01, 0.67)\n",
- "Sarr M. (6.27, 0.42); (4.63, 0.72)\n",
- "Lamanna (6.13, 0.40); (4.30, 0.76)\n",
- "Ujkani (6.40, 0.38); (4.57, 0.74)\n",
- "Pegolo (6.28, 0.36); (4.38, 0.76)\n",
- "Perilli (6.22, 0.33); (4.29, 0.78)\n",
- "Padelli (6.45, 0.40); (4.62, 0.73)\n",
- "Perisan (6.45, 0.41); (5.30, 0.63)\n",
- "Bardi (6.40, 0.38); (4.71, 0.72)\n",
- "Cordaz (6.44, 0.39); (4.66, 0.73)\n",
- "Pinsoglio (6.26, 0.40); (5.18, 0.64)\n",
- "Fiorillo (6.33, 0.36); (4.62, 0.74)\n",
- "Sirigu (6.36, 0.36); (4.96, 0.68)\n",
- "Cerofolini (6.09, 0.35); (4.64, 0.72)\n",
- "Rossi F. (6.38, 0.37); (4.78, 0.70)\n",
- "Contini (6.18, 0.34); (4.22, 0.80)\n",
- "Brancolini (6.40, 0.37); (4.83, 0.70)\n",
- "Bleve (6.40, 0.37); (4.83, 0.70)\n",
- "Berardi A. (6.33, 0.35); (4.49, 0.75)\n",
- "Russo A. (6.24, 0.37); (5.24, 0.63)\n",
- "Gemello (6.26, 0.43); (5.64, 0.59)\n",
- "Ravaglia (6.37, 0.36); (4.57, 0.74)\n",
- "Zoet (5.55, 0.33); (2.93, 1.10)\n",
- "Boer (6.36, 0.38); (4.57, 0.73)\n",
- "Adamonis (6.16, 0.40); (4.50, 0.73)\n",
- "Marfella (6.37, 0.37); (5.05, 0.67)\n",
- "Zovko (6.38, 0.37); (4.50, 0.75)\n",
- "Piana (6.40, 0.38); (4.53, 0.74)\n",
- "Bagnolini (6.04, 0.36); (3.94, 0.82)\n",
- "Svilar (6.24, 0.40); (5.38, 0.61)\n",
- "Sorrentino A. (6.13, 0.40); (4.30, 0.76)\n",
- "Ciezkowski (6.27, 0.42); (4.63, 0.72)\n",
- "Micai (6.41, 0.37); (4.91, 0.69)\n",
- "Chiesa M. (6.22, 0.33); (4.29, 0.78)\n",
- "Saro (6.27, 0.42); (4.63, 0.72)\n",
- "Smalling (6.16, 0.46); (6.51, 0.80)\n",
- "Hernandez T. (6.24, 0.60); (6.99, 1.34)\n",
- "Kim (6.28, 0.45); (6.62, 0.73)\n",
- "Bastoni S. (6.08, 0.49); (6.43, 0.82)\n",
- "Udogie (6.04, 0.56); (6.54, 1.08)\n",
- "Dumfries (6.18, 0.51); (6.86, 1.22)\n",
- "Romagnoli (5.99, 0.48); (6.00, 0.39)\n",
- "Rodrigo Becao (6.00, 0.52); (6.13, 0.63)\n",
- "Parisi (5.87, 0.40); (5.88, 0.34)\n",
- "Mazzocchi (5.81, 0.40); (5.83, 0.36)\n",
- "Bremer (6.21, 0.47); (6.40, 0.55)\n",
- "Demiral (6.02, 0.52); (6.06, 0.49)\n",
- "Valeri (6.08, 0.35); (6.40, 0.67)\n",
- "Dimarco (6.17, 0.46); (6.58, 0.85)\n",
- "Di Lorenzo (6.15, 0.41); (6.31, 0.49)\n",
- "Ibanez (5.81, 0.51); (5.87, 0.58)\n",
- "Tomori (6.09, 0.39); (6.16, 0.36)\n",
- "Toloi (6.03, 0.48); (6.15, 0.56)\n",
- "Gosens (6.07, 0.34); (6.17, 0.40)\n",
- "Rrahmani (6.23, 0.50); (6.63, 0.85)\n",
- "Kalulu (6.20, 0.49); (6.56, 0.80)\n",
- "Bijol (6.07, 0.51); (6.47, 0.91)\n",
- "Doig (6.16, 0.51); (6.72, 1.05)\n",
- "Mario Rui (6.03, 0.42); (6.13, 0.44)\n",
- "Spinazzola (6.02, 0.32); (6.02, 0.34)\n",
- "Lazzari (6.01, 0.51); (6.38, 0.91)\n",
- "Mancini (5.76, 0.50); (5.72, 0.40)\n",
- "Danilo (6.12, 0.42); (6.25, 0.48)\n",
- "Kyriakopoulos (5.78, 0.52); (5.74, 0.45)\n",
- "Vojvoda (5.95, 0.37); (6.00, 0.40)\n",
- "Scalvini (5.98, 0.38); (6.05, 0.41)\n",
- "Carlos Augusto (5.83, 0.45); (5.95, 0.58)\n",
- "Skriniar (6.15, 0.46); (6.35, 0.59)\n",
- "Schuurs (6.03, 0.36); (6.07, 0.34)\n",
- "Juan Jesus (6.12, 0.44); (6.36, 0.63)\n",
- "Bonucci (6.21, 0.56); (6.77, 1.10)\n",
- "Calabria (6.10, 0.35); (6.36, 0.60)\n",
- "Bastoni (6.16, 0.41); (6.32, 0.50)\n",
- "Depaoli (5.74, 0.40); (5.78, 0.48)\n",
- "Darmian (6.06, 0.37); (6.30, 0.64)\n",
- "Sernicola (5.96, 0.41); (6.27, 0.77)\n",
- "Mari' (6.02, 0.59); (6.27, 0.86)\n",
- "Martinez Quarta (5.76, 0.50); (5.73, 0.49)\n",
- "Maehle (6.03, 0.30); (6.07, 0.36)\n",
- "Olivera (6.17, 0.38); (6.48, 0.66)\n",
- "Biraghi (5.87, 0.57); (6.14, 0.87)\n",
- "Medel (5.75, 0.54); (5.69, 0.42)\n",
- "Patric (5.77, 0.56); (5.77, 0.56)\n",
- "Rodriguez R. (5.88, 0.39); (5.89, 0.33)\n",
- "Aina (5.88, 0.36); (5.89, 0.33)\n",
- "Cambiaso (5.88, 0.51); (5.94, 0.54)\n",
- "Perez N. (5.74, 0.41); (5.70, 0.35)\n",
- "Holm (5.93, 0.41); (6.14, 0.65)\n",
- "Baschirotto (6.15, 0.47); (6.56, 0.86)\n",
- "Dodo' (5.72, 0.41); (5.70, 0.39)\n",
- "Hysaj (5.70, 0.40); (5.70, 0.41)\n",
- "Faraoni (6.07, 0.44); (6.44, 0.81)\n",
- "Bianchetti (5.74, 0.41); (5.79, 0.47)\n",
- "Milenkovic (5.80, 0.51); (5.79, 0.47)\n",
- "Marusic (5.68, 0.48); (5.65, 0.46)\n",
- "Colley (5.78, 0.53); (5.73, 0.39)\n",
- "Toljan (5.81, 0.38); (5.80, 0.33)\n",
- "Celik (5.90, 0.35); (5.89, 0.32)\n",
- "Ampadu (5.77, 0.51); (5.71, 0.39)\n",
- "Singo (6.14, 0.54); (6.63, 1.00)\n",
- "Casale (5.82, 0.41); (5.79, 0.34)\n",
- "Daniliuc (5.83, 0.55); (5.78, 0.46)\n",
- "Pongracic (5.88, 0.42); (5.86, 0.33)\n",
- "Soppy (5.87, 0.33); (5.84, 0.30)\n",
- "Kiwior (5.78, 0.39); (5.76, 0.32)\n",
- "Posch (5.96, 0.59); (6.46, 1.09)\n",
- "Masina (5.98, 0.42); (6.23, 0.72)\n",
- "Ghiglione (5.72, 0.37); (5.69, 0.32)\n",
- "De Vrij (5.81, 0.36); (5.79, 0.31)\n",
- "Alex Sandro (5.83, 0.34); (5.79, 0.29)\n",
- "Ceccherini (5.76, 0.48); (5.78, 0.49)\n",
- "Fazio (5.69, 0.58); (5.64, 0.55)\n",
- "Rogerio (5.77, 0.40); (5.75, 0.35)\n",
- "Reca (5.75, 0.38); (5.72, 0.32)\n",
- "Gunter (5.73, 0.53); (5.67, 0.44)\n",
- "Djidji (5.82, 0.46); (5.79, 0.36)\n",
- "Augello (5.77, 0.40); (5.84, 0.46)\n",
- "Bellanova (5.82, 0.42); (5.85, 0.43)\n",
- "Erlic (5.84, 0.54); (5.95, 0.67)\n",
- "Ismajli (5.64, 0.53); (5.58, 0.43)\n",
- "Ebuehi (5.64, 0.38); (5.57, 0.32)\n",
- "Kasius (5.96, 0.32); (5.95, 0.31)\n",
- "Lucumi' (5.77, 0.39); (5.73, 0.32)\n",
- "Hien (5.67, 0.45); (5.62, 0.37)\n",
- "Acerbi (6.01, 0.53); (6.29, 0.80)\n",
- "Zappacosta (6.08, 0.39); (6.28, 0.56)\n",
- "Chiriches (5.71, 0.53); (5.65, 0.42)\n",
- "Gyomber (5.68, 0.52); (5.62, 0.42)\n",
- "Pezzella Giu. (5.95, 0.37); (5.98, 0.36)\n",
- "Ferrari G. (5.69, 0.55); (5.63, 0.47)\n",
- "Bereszynski (5.66, 0.42); (5.60, 0.36)\n",
- "Hateboer (5.78, 0.34); (5.77, 0.31)\n",
- "Karsdorp (5.96, 0.43); (6.01, 0.39)\n",
- "Nuytinck (5.98, 0.52); (6.03, 0.50)\n",
- "Lykogiannis (5.72, 0.35); (5.69, 0.31)\n",
- "Buongiorno (5.87, 0.40); (5.85, 0.33)\n",
- "Nikolaou (5.66, 0.44); (5.62, 0.35)\n",
- "Lazaro (5.83, 0.42); (5.86, 0.41)\n",
- "Gallo (5.86, 0.41); (5.82, 0.34)\n",
- "Ayhan (5.71, 0.57); (5.77, 0.67)\n",
- "Dest (5.84, 0.36); (5.83, 0.32)\n",
- "Stojanovic (5.75, 0.51); (5.71, 0.47)\n",
- "Birindelli (5.75, 0.32); (5.72, 0.28)\n",
- "Gendrey (5.77, 0.35); (5.71, 0.30)\n",
- "Ebosse (5.86, 0.33); (5.81, 0.29)\n",
- "Lochoshvili (5.81, 0.37); (5.80, 0.32)\n",
- "Bronn (5.85, 0.35); (5.81, 0.29)\n",
- "Thiaw (6.00, 0.40); (6.06, 0.42)\n",
- "Izzo (5.76, 0.35); (5.68, 0.30)\n",
- "D'ambrosio (6.13, 0.38); (6.27, 0.46)\n",
- "Rugani (5.94, 0.34); (5.93, 0.29)\n",
- "De Sciglio (6.06, 0.50); (6.32, 0.74)\n",
- "Luperto (5.74, 0.59); (5.66, 0.47)\n",
- "De Silvestri (5.83, 0.52); (6.09, 0.81)\n",
- "Djimsiti (5.89, 0.45); (5.93, 0.44)\n",
- "Palomino (6.07, 0.47); (6.15, 0.43)\n",
- "Bonifazi (5.64, 0.50); (5.62, 0.38)\n",
- "Hristov (5.69, 0.47); (5.85, 0.69)\n",
- "Donati (5.65, 0.42); (5.59, 0.35)\n",
- "Umtiti (5.82, 0.48); (5.79, 0.39)\n",
- "Kjaer (6.01, 0.31); (6.00, 0.31)\n",
- "Igor (5.72, 0.53); (5.67, 0.42)\n",
- "Okoli (5.65, 0.47); (5.62, 0.38)\n",
- "Soumaoro (5.74, 0.52); (5.69, 0.40)\n",
- "Caldirola (5.75, 0.48); (5.69, 0.37)\n",
- "Ballo-Toure' (5.73, 0.32); (5.69, 0.28)\n",
- "Bradaric (5.82, 0.40); (5.82, 0.34)\n",
- "De Winter (5.77, 0.53); (5.70, 0.39)\n",
- "Quagliata (5.94, 0.32); (5.96, 0.33)\n",
- "Ferrari A. (5.75, 0.48); (5.82, 0.59)\n",
- "Florenzi (6.11, 0.39); (6.34, 0.58)\n",
- "Sala (5.85, 0.39); (5.99, 0.55)\n",
- "Caldara (5.82, 0.55); (5.78, 0.49)\n",
- "Murru (5.61, 0.40); (5.65, 0.54)\n",
- "Marlon (5.62, 0.39); (5.55, 0.32)\n",
- "Walukiewicz (5.69, 0.44); (5.65, 0.34)\n",
- "Kumbulla (5.78, 0.34); (5.72, 0.29)\n",
- "Amian (5.71, 0.52); (5.66, 0.46)\n",
- "Ostigard (6.00, 0.38); (6.06, 0.36)\n",
- "Sambia (5.70, 0.39); (5.64, 0.32)\n",
- "Aiwu (5.93, 0.43); (5.98, 0.44)\n",
- "Ehizibue (5.87, 0.30); (5.80, 0.27)\n",
- "Hendry (5.98, 0.44); (6.03, 0.44)\n",
- "Marrone (5.51, 0.45); (5.45, 0.38)\n",
- "Radovanovic (5.77, 0.51); (5.84, 0.58)\n",
- "Murillo (5.63, 0.35); (5.52, 0.29)\n",
- "Venuti (5.81, 0.33); (5.78, 0.30)\n",
- "Magnani (5.77, 0.46); (5.73, 0.35)\n",
- "Terzic (5.94, 0.30); (5.91, 0.29)\n",
- "Gabbia (5.61, 0.47); (5.56, 0.39)\n",
- "Zortea (5.80, 0.38); (5.82, 0.42)\n",
- "Dawidowicz (5.75, 0.39); (5.72, 0.32)\n",
- "Pirola (5.82, 0.32); (5.73, 0.27)\n",
- "Carboni (5.62, 0.45); (5.57, 0.36)\n",
- "Lovato (5.82, 0.50); (5.78, 0.38)\n",
- "Tuia (5.76, 0.45); (5.80, 0.48)\n",
- "Amione (5.63, 0.35); (5.56, 0.30)\n",
- "Vasquez (5.89, 0.43); (5.93, 0.40)\n",
- "Zima (5.87, 0.35); (5.86, 0.31)\n",
- "Coppola D. (5.99, 0.36); (6.00, 0.34)\n",
- "Gatti (5.95, 0.45); (5.99, 0.38)\n",
- "Gila (5.81, 0.49); (5.78, 0.40)\n",
- "Cabal (5.82, 0.43); (5.83, 0.39)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Sosa (5.64, 0.48); (5.57, 0.42)\n",
- "Conti (6.10, 0.55); (6.68, 1.13)\n",
- "Dermaku (5.90, 0.43); (5.93, 0.39)\n",
- "Tonelli (5.61, 0.47); (5.58, 0.38)\n",
- "Radu (5.65, 0.49); (5.59, 0.43)\n",
- "Paletta (5.82, 0.42); (5.83, 0.39)\n",
- "Fares (5.76, 0.36); (5.71, 0.32)\n",
- "Marchizza (5.64, 0.38); (5.57, 0.32)\n",
- "Romagna (5.85, 0.44); (5.87, 0.41)\n",
- "Ranieri L. (5.71, 0.37); (5.70, 0.38)\n",
- "Cetin (5.88, 0.52); (5.83, 0.40)\n",
- "Muldur (5.65, 0.42); (5.60, 0.36)\n",
- "Adopo (5.82, 0.44); (5.81, 0.38)\n",
- "Ferrer (5.86, 0.44); (5.86, 0.36)\n",
- "Ruggeri (5.85, 0.34); (5.84, 0.31)\n",
- "Antov (5.61, 0.51); (5.54, 0.43)\n",
- "Amey (5.95, 0.42); (6.01, 0.41)\n",
- "Ferrarini (5.82, 0.42); (5.83, 0.39)\n",
- "Kamenovic (6.19, 0.44); (6.40, 0.54)\n",
- "Vina (5.73, 0.48); (5.68, 0.39)\n",
- "Zanoli (5.93, 0.32); (5.91, 0.29)\n",
- "Zanotti (5.89, 0.39); (5.93, 0.41)\n",
- "Ruan (5.63, 0.56); (5.64, 0.39)\n",
- "Motoc (5.88, 0.41); (5.91, 0.38)\n",
- "Cacace (5.84, 0.35); (5.79, 0.29)\n",
- "Bayeye (5.92, 0.41); (5.97, 0.42)\n",
- "Ebosele (5.96, 0.44); (6.03, 0.42)\n",
- "Buta (5.92, 0.40); (5.97, 0.39)\n",
- "Ndiaye (5.93, 0.43); (5.98, 0.44)\n",
- "Abankwah (5.92, 0.40); (5.97, 0.39)\n",
- "Guessand A. (5.92, 0.40); (5.97, 0.39)\n",
- "Guarino (5.90, 0.43); (5.93, 0.40)\n",
- "Milinkovic-Savic (6.44, 0.62); (7.60, 1.86)\n",
- "Barella (6.33, 0.53); (6.93, 1.12)\n",
- "Kvaratskhelia (6.59, 0.70); (8.44, 2.82)\n",
- "Zaccagni (6.31, 0.59); (7.24, 1.55)\n",
- "Zielinski (6.23, 0.54); (6.91, 1.21)\n",
- "Luis Alberto (6.25, 0.62); (7.24, 1.62)\n",
- "Frattesi (6.03, 0.52); (6.46, 0.97)\n",
- "Politano (6.13, 0.41); (6.47, 0.72)\n",
- "Koopmeiners (6.24, 0.54); (6.86, 1.15)\n",
- "Vlasic (6.28, 0.56); (7.41, 1.76)\n",
- "Pereyra (6.12, 0.56); (6.67, 1.09)\n",
- "Felipe Anderson (6.23, 0.62); (7.34, 1.76)\n",
- "Calhanoglu (6.30, 0.64); (7.42, 1.80)\n",
- "Strefezza (6.34, 0.51); (7.12, 1.38)\n",
- "Diaz B. (6.12, 0.55); (6.74, 1.15)\n",
- "Pellegrini Lo. (6.25, 0.66); (7.62, 2.06)\n",
- "Zambo Anguissa (6.10, 0.37); (6.15, 0.36)\n",
- "Lobotka (6.23, 0.43); (6.55, 0.68)\n",
- "Malinovskyi (6.27, 0.59); (7.30, 1.67)\n",
- "Candreva (6.16, 0.67); (7.20, 1.71)\n",
- "Pasalic (6.24, 0.68); (7.77, 2.24)\n",
- "Bennacer (6.21, 0.44); (6.50, 0.69)\n",
- "Kostic (6.20, 0.49); (6.79, 1.07)\n",
- "Radonjic (6.27, 0.48); (7.03, 1.30)\n",
- "Samardzic (6.15, 0.47); (6.63, 0.95)\n",
- "Chiesa (6.25, 0.52); (7.04, 1.35)\n",
- "Lovric (6.19, 0.38); (6.53, 0.70)\n",
- "De Ketelaere (5.90, 0.34); (5.91, 0.36)\n",
- "Brozovic (6.17, 0.38); (6.38, 0.51)\n",
- "Pogba (5.93, 0.41); (5.99, 0.39)\n",
- "Bonaventura (6.10, 0.61); (6.68, 1.20)\n",
- "Sensi (5.84, 0.36); (5.93, 0.50)\n",
- "Bandinelli (5.84, 0.43); (5.94, 0.57)\n",
- "Ikone' (5.88, 0.40); (6.08, 0.65)\n",
- "Barak (6.20, 0.69); (7.64, 2.13)\n",
- "Mkhitaryan (6.21, 0.58); (6.99, 1.34)\n",
- "Pessina (5.85, 0.36); (5.86, 0.39)\n",
- "Tonali (6.28, 0.54); (6.88, 1.12)\n",
- "Arslan (5.93, 0.40); (5.99, 0.46)\n",
- "Lazovic (6.13, 0.39); (6.47, 0.73)\n",
- "Cristante (5.95, 0.48); (6.05, 0.53)\n",
- "Elmas (6.11, 0.39); (6.37, 0.63)\n",
- "Bajrami (6.24, 0.55); (7.04, 1.40)\n",
- "Vecino (6.06, 0.40); (6.33, 0.67)\n",
- "Paredes (5.72, 0.35); (5.66, 0.30)\n",
- "Mandragora (5.97, 0.41); (6.04, 0.47)\n",
- "Djuricic (5.78, 0.48); (6.05, 0.79)\n",
- "Lukic (6.07, 0.51); (6.47, 0.90)\n",
- "Soriano (5.86, 0.41); (5.85, 0.37)\n",
- "Zaniolo (5.91, 0.53); (6.20, 0.83)\n",
- "Sottil (6.01, 0.53); (6.53, 1.03)\n",
- "Traore' Hj. (6.18, 0.57); (7.13, 1.57)\n",
- "Messias (6.13, 0.60); (7.05, 1.52)\n",
- "Thorstvedt (5.95, 0.45); (6.28, 0.84)\n",
- "Cuadrado (6.25, 0.48); (6.63, 0.81)\n",
- "Locatelli (6.20, 0.48); (6.57, 0.81)\n",
- "Rabiot (5.77, 0.36); (5.74, 0.32)\n",
- "Dominguez (5.96, 0.41); (6.00, 0.39)\n",
- "Tameze (6.16, 0.44); (6.59, 0.87)\n",
- "Miranchuk (6.06, 0.56); (6.79, 1.28)\n",
- "Vilhena (5.73, 0.36); (5.76, 0.43)\n",
- "De Roon (6.00, 0.46); (6.24, 0.70)\n",
- "Verdi (6.25, 0.62); (7.47, 1.88)\n",
- "Walace (5.86, 0.41); (5.87, 0.36)\n",
- "Wijnaldum (5.89, 0.41); (5.91, 0.39)\n",
- "Mckennie (6.18, 0.51); (6.77, 1.08)\n",
- "Makengo (5.91, 0.48); (5.97, 0.49)\n",
- "Ricci S. (5.88, 0.39); (5.92, 0.36)\n",
- "Coulibaly L. (5.84, 0.45); (6.09, 0.75)\n",
- "Sabiri (6.04, 0.61); (6.92, 1.49)\n",
- "Miretti (6.06, 0.42); (6.14, 0.38)\n",
- "Colpani (6.10, 0.40); (6.54, 0.90)\n",
- "Haas (5.86, 0.37); (5.88, 0.36)\n",
- "Orsolini (6.14, 0.57); (7.08, 1.50)\n",
- "Matic (5.99, 0.32); (5.99, 0.32)\n",
- "Ascacibar (6.00, 0.37); (6.04, 0.38)\n",
- "Ederson D.s. (6.15, 0.54); (6.78, 1.19)\n",
- "Ciurria (5.89, 0.41); (6.01, 0.56)\n",
- "Gonzalez J. (6.05, 0.47); (6.48, 0.90)\n",
- "El Shaarawy (6.02, 0.46); (6.38, 0.84)\n",
- "Meite' (5.87, 0.36); (5.88, 0.34)\n",
- "Bourabia (6.17, 0.52); (6.95, 1.34)\n",
- "Ndombele' (5.92, 0.32); (5.91, 0.30)\n",
- "Henderson L. (5.96, 0.43); (6.18, 0.69)\n",
- "Maggiore (5.98, 0.45); (6.16, 0.63)\n",
- "Ilic (5.99, 0.41); (6.13, 0.52)\n",
- "Kovalenko (5.92, 0.44); (6.19, 0.72)\n",
- "Zalewski (5.83, 0.34); (5.80, 0.31)\n",
- "Pickel (5.88, 0.35); (5.97, 0.51)\n",
- "Ferguson (6.07, 0.51); (6.59, 1.02)\n",
- "Camara Ma. (6.10, 0.30); (6.18, 0.34)\n",
- "Saponara (6.21, 0.48); (6.77, 1.05)\n",
- "Rincon (5.77, 0.34); (5.76, 0.31)\n",
- "Cataldi (6.09, 0.44); (6.23, 0.51)\n",
- "Zurkowski (6.11, 0.52); (6.70, 1.11)\n",
- "Rovella (5.96, 0.38); (6.03, 0.46)\n",
- "Agudelo (5.93, 0.50); (6.31, 0.90)\n",
- "Amrabat (6.00, 0.38); (6.17, 0.56)\n",
- "Lopez M. (6.03, 0.46); (6.21, 0.60)\n",
- "Gyasi (5.88, 0.56); (6.36, 1.05)\n",
- "Pobega (6.15, 0.45); (6.50, 0.79)\n",
- "Harroui (5.84, 0.32); (5.82, 0.29)\n",
- "Ceide (5.96, 0.35); (5.97, 0.38)\n",
- "Baldanzi (6.25, 0.47); (7.03, 1.36)\n",
- "Blin (6.00, 0.30); (5.98, 0.30)\n",
- "Hjulmand (5.93, 0.53); (5.88, 0.42)\n",
- "D'alessandro (5.98, 0.30); (5.99, 0.36)\n",
- "Grassi (5.89, 0.44); (5.86, 0.34)\n",
- "Krunic (6.00, 0.32); (6.02, 0.35)\n",
- "Linetty (5.77, 0.32); (5.75, 0.30)\n",
- "Miguel Veloso (5.93, 0.48); (6.00, 0.51)\n",
- "Ekdal (5.74, 0.48); (5.73, 0.47)\n",
- "Schouten (6.01, 0.48); (6.24, 0.70)\n",
- "Villar (5.78, 0.32); (5.72, 0.28)\n",
- "Saelemaekers (6.00, 0.40); (6.15, 0.54)\n",
- "Vranckx (5.95, 0.39); (6.01, 0.39)\n",
- "Basic (5.83, 0.35); (5.84, 0.36)\n",
- "Aebischer (5.85, 0.30); (5.84, 0.29)\n",
- "Marcos Antonio (5.82, 0.32); (5.77, 0.28)\n",
- "Ranocchia F. (5.96, 0.41); (6.20, 0.68)\n",
- "Bistrovic (5.84, 0.31); (5.85, 0.32)\n",
- "Verre (5.67, 0.37); (5.62, 0.32)\n",
- "Gagliardini (6.10, 0.39); (6.38, 0.71)\n",
- "Barberis (5.72, 0.38); (5.71, 0.33)\n",
- "Leris (5.69, 0.35); (5.70, 0.41)\n",
- "Vieira (5.70, 0.34); (5.69, 0.34)\n",
- "Winks (5.85, 0.41); (5.90, 0.43)\n",
- "Castrovilli (5.97, 0.42); (6.14, 0.61)\n",
- "Maldini (6.11, 0.40); (6.71, 1.15)\n",
- "Marin (5.87, 0.51); (5.89, 0.48)\n",
- "Maleh (5.97, 0.37); (6.19, 0.65)\n",
- "Matheus Henrique (5.88, 0.39); (5.90, 0.34)\n",
- "Asllani (6.00, 0.39); (6.11, 0.49)\n",
- "Moro N. (5.84, 0.34); (5.83, 0.31)\n",
- "Oudin (6.01, 0.35); (6.09, 0.41)\n",
- "Duncan (5.92, 0.43); (6.10, 0.62)\n",
- "Molina S. (5.78, 0.38); (5.79, 0.37)\n",
- "Kastanos (5.83, 0.45); (5.83, 0.40)\n",
- "Valoti (5.78, 0.33); (5.72, 0.28)\n",
- "Gaetano (6.03, 0.36); (6.09, 0.39)\n",
- "Escalante (5.77, 0.42); (5.73, 0.35)\n",
- "Bohinen (5.82, 0.38); (5.84, 0.38)\n",
- "Terracciano F. (6.01, 0.30); (6.02, 0.34)\n",
- "Milanese (5.88, 0.44); (5.93, 0.44)\n",
- "Castagnetti (5.97, 0.33); (5.99, 0.34)\n",
- "Listkowski (5.93, 0.32); (5.91, 0.30)\n",
- "Adli (5.73, 0.33); (5.73, 0.32)\n",
- "Hrustic (5.66, 0.42); (5.61, 0.36)\n",
- "D'andrea (5.95, 0.34); (6.00, 0.43)\n",
- "Benassi (5.77, 0.32); (5.77, 0.33)\n",
- "Baez (5.92, 0.46); (5.97, 0.44)\n",
- "Vignato (5.87, 0.33); (5.87, 0.32)\n",
- "Obiang (5.86, 0.39); (5.84, 0.32)\n",
- "Askildsen (5.84, 0.33); (5.78, 0.29)\n",
- "Hongla (5.78, 0.37); (5.83, 0.45)\n",
- "Yepes (6.04, 0.33); (6.10, 0.35)\n",
- "Helgason (5.82, 0.33); (5.80, 0.29)\n",
- "Bondo (5.91, 0.42); (5.94, 0.37)\n",
- "Ellertsson (5.88, 0.38); (5.90, 0.34)\n",
- "Capezzi (5.93, 0.33); (5.92, 0.30)\n",
- "Jajalo (5.87, 0.33); (5.85, 0.30)\n",
- "Machin (5.84, 0.41); (5.86, 0.39)\n",
- "Bakayoko (5.80, 0.37); (5.74, 0.32)\n",
- "Scozzarella (5.84, 0.41); (5.86, 0.39)\n",
- "Fagioli (6.12, 0.46); (6.60, 0.94)\n",
- "Demme (6.00, 0.37); (6.19, 0.57)\n",
- "Akpa Akpro (5.90, 0.44); (5.95, 0.42)\n",
- "Darboe (5.90, 0.43); (6.01, 0.43)\n",
- "Bove (6.20, 0.36); (6.67, 0.90)\n",
- "Urbanski (5.92, 0.41); (5.96, 0.41)\n",
- "Bertini (5.94, 0.41); (5.99, 0.39)\n",
- "Cortinovis (5.85, 0.39); (5.89, 0.42)\n",
- "Romero L. (5.81, 0.31); (5.80, 0.31)\n",
- "Bianco (5.92, 0.40); (5.98, 0.46)\n",
- "Sher (5.96, 0.31); (5.94, 0.29)\n",
- "Nguiamba (6.04, 0.37); (6.08, 0.34)\n",
- "Volpato (6.23, 0.40); (7.16, 1.52)\n",
- "Praszelik (6.00, 0.30); (5.98, 0.30)\n",
- "Trimboli (5.85, 0.41); (5.90, 0.43)\n",
- "Pafundi (5.93, 0.40); (5.98, 0.40)\n",
- "Bjorkengren (5.94, 0.42); (6.00, 0.43)\n",
- "Vignato S. (5.88, 0.43); (5.91, 0.41)\n",
- "Samek (5.94, 0.42); (6.00, 0.43)\n",
- "Zerbin (5.95, 0.35); (5.99, 0.38)\n",
- "Ilkhan (5.75, 0.35); (5.71, 0.30)\n",
- "Degli Innocenti (5.94, 0.46); (5.99, 0.44)\n",
- "Fazzini (5.63, 0.48); (5.58, 0.38)\n",
- "Acella (5.95, 0.43); (6.03, 0.48)\n",
- "Tripi (5.92, 0.41); (5.95, 0.40)\n",
- "Garbett (5.92, 0.41); (5.97, 0.43)\n",
- "Iling-Junior (5.99, 0.50); (6.03, 0.45)\n",
- "Immobile (6.49, 0.72); (8.44, 2.88)\n",
- "Vlahovic (6.35, 0.70); (8.01, 2.47)\n",
- "Rafael Leao (6.46, 0.68); (8.11, 2.48)\n",
- "Martinez L. (6.32, 0.73); (8.24, 2.70)\n",
- "Dybala (6.33, 0.61); (7.56, 1.93)\n",
- "Arnautovic (6.23, 0.67); (7.74, 2.21)\n",
- "Beto (6.20, 0.69); (7.68, 2.18)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Giroud (6.25, 0.68); (7.80, 2.27)\n",
- "Osimhen (6.39, 0.71); (8.15, 2.58)\n",
- "Deulofeu (6.42, 0.64); (7.86, 2.22)\n",
- "Lukaku (6.47, 0.71); (8.41, 2.84)\n",
- "Milik (6.18, 0.56); (7.02, 1.39)\n",
- "Pedro (6.26, 0.61); (7.42, 1.81)\n",
- "Abraham (6.23, 0.71); (7.87, 2.37)\n",
- "Berardi (6.46, 0.68); (8.20, 2.60)\n",
- "Dia (6.25, 0.69); (7.86, 2.33)\n",
- "Lookman (6.44, 0.65); (8.01, 2.39)\n",
- "Simeone (6.18, 0.73); (7.79, 2.32)\n",
- "Correa (6.13, 0.59); (7.15, 1.63)\n",
- "Zapata D. (6.39, 0.69); (8.22, 2.64)\n",
- "Dzeko (6.30, 0.68); (7.94, 2.38)\n",
- "Nzola (5.88, 0.43); (6.24, 0.84)\n",
- "Sanabria (6.12, 0.58); (7.16, 1.62)\n",
- "Muriel (6.36, 0.68); (7.99, 2.41)\n",
- "Rebic (6.06, 0.49); (6.59, 1.03)\n",
- "Bonazzoli (6.16, 0.60); (7.25, 1.71)\n",
- "Caprari (6.36, 0.64); (7.86, 2.24)\n",
- "Di Maria (6.08, 0.65); (6.81, 1.40)\n",
- "Lozano (6.19, 0.58); (7.16, 1.57)\n",
- "Ceesay (6.07, 0.55); (6.97, 1.44)\n",
- "Pinamonti (6.11, 0.65); (7.38, 1.91)\n",
- "Kouame' (6.19, 0.61); (7.36, 1.79)\n",
- "Lauriente' (6.28, 0.69); (7.47, 1.95)\n",
- "Jovic (6.02, 0.61); (6.88, 1.46)\n",
- "Barrow (6.11, 0.61); (7.09, 1.58)\n",
- "Henry (6.07, 0.63); (7.08, 1.64)\n",
- "Piatek (6.03, 0.52); (6.87, 1.36)\n",
- "Gonzalez N. (6.24, 0.64); (7.47, 1.89)\n",
- "Dessers (6.09, 0.49); (6.91, 1.34)\n",
- "Caputo (6.02, 0.64); (6.99, 1.58)\n",
- "Raspadori (6.11, 0.67); (7.15, 1.70)\n",
- "Lammers (5.92, 0.39); (6.09, 0.62)\n",
- "Okereke (6.00, 0.55); (6.62, 1.19)\n",
- "Cabral (6.08, 0.48); (6.86, 1.29)\n",
- "Gabbiadini (6.10, 0.65); (7.24, 1.78)\n",
- "Belotti (6.21, 0.66); (7.62, 2.11)\n",
- "Origi (6.03, 0.56); (6.70, 1.22)\n",
- "Botheim (5.97, 0.42); (6.39, 0.88)\n",
- "Alvarez A. (6.13, 0.60); (7.13, 1.62)\n",
- "Verde (6.25, 0.52); (7.14, 1.47)\n",
- "Destro (6.06, 0.65); (7.23, 1.80)\n",
- "Kean (6.02, 0.56); (6.70, 1.26)\n",
- "Pellegri (5.84, 0.33); (5.91, 0.54)\n",
- "Satriano (5.89, 0.45); (6.28, 0.89)\n",
- "Success (6.24, 0.59); (7.14, 1.49)\n",
- "Mota (5.84, 0.41); (6.25, 0.86)\n",
- "Banda (5.98, 0.36); (6.06, 0.45)\n",
- "Hojlund (6.01, 0.43); (6.54, 1.01)\n",
- "Lasagna (5.89, 0.40); (6.19, 0.78)\n",
- "Pjaca (5.99, 0.47); (6.45, 0.97)\n",
- "Gytkjaer (5.85, 0.37); (6.14, 0.74)\n",
- "Petagna (5.99, 0.54); (6.66, 1.23)\n",
- "Nestorovski (6.07, 0.46); (6.53, 0.95)\n",
- "Zanimacchia (5.97, 0.34); (6.06, 0.45)\n",
- "Piccoli (5.70, 0.39); (5.67, 0.34)\n",
- "Kallon (5.80, 0.36); (5.82, 0.40)\n",
- "Ciofani D. (6.13, 0.41); (6.85, 1.25)\n",
- "Di Francesco F. (6.13, 0.47); (6.73, 1.09)\n",
- "Boga (5.98, 0.38); (6.02, 0.39)\n",
- "Zirkzee (6.04, 0.53); (6.82, 1.31)\n",
- "Quagliarella (5.88, 0.47); (6.24, 0.85)\n",
- "Ibrahimovic (6.36, 0.65); (7.89, 2.28)\n",
- "Shomurodov (6.04, 0.51); (6.80, 1.30)\n",
- "Djuric (5.89, 0.30); (5.86, 0.30)\n",
- "Strelec (5.77, 0.38); (5.95, 0.66)\n",
- "Antiste (5.75, 0.37); (5.80, 0.49)\n",
- "Seck (5.94, 0.33); (6.04, 0.51)\n",
- "Buonaiuto (6.05, 0.36); (6.19, 0.46)\n",
- "Sansone (6.00, 0.46); (6.40, 0.86)\n",
- "Pussetto (5.99, 0.55); (6.67, 1.24)\n",
- "Cambiaghi (5.91, 0.30); (5.89, 0.31)\n",
- "Colombo (6.01, 0.49); (6.74, 1.24)\n",
- "Afena-Gyan (5.87, 0.54); (6.22, 0.91)\n",
- "Defrel (5.84, 0.42); (6.00, 0.63)\n",
- "Karamoh (6.03, 0.33); (6.11, 0.39)\n",
- "Cancellieri (6.19, 0.49); (6.76, 1.09)\n",
- "Tsadjout (6.03, 0.42); (6.20, 0.57)\n",
- "Rodriguez P. (5.92, 0.34); (5.94, 0.34)\n",
- "Valencia D. (5.68, 0.32); (5.70, 0.29)\n",
- "Edera (5.92, 0.43); (5.98, 0.47)\n",
- "Oddei (6.12, 0.31); (6.11, 0.31)\n",
- "Raimondo (5.95, 0.43); (6.02, 0.45)\n",
- "Kristoffersen (5.89, 0.43); (5.94, 0.41)\n",
- "Kaio Jorge (5.98, 0.36); (6.03, 0.39)\n",
- "De Luca (5.86, 0.44); (5.92, 0.46)\n",
- "Soule' (6.01, 0.45); (6.08, 0.39)\n",
- "Lazetic (5.97, 0.41); (6.05, 0.46)\n",
- "Voelkerling Persson (5.94, 0.44); (6.01, 0.45)\n",
- "Sanca (5.91, 0.37); (5.94, 0.36)\n"
- ]
- }
- ],
- "source": [
- "output = pd.DataFrame(columns = ['player', 'role', 'team', 'oppteam', 'home', 'starter', 'vote%', 'MV', 'MV std', 'FV', 'FV std', 'MV loc', 'MV scale', 'MV skewness', 'MV tailweight', 'FV loc', 'FV scale', 'FV skewness', 'FV tailweight', 'Clean Sheet %'])\n",
- "\n",
- "tot_matches = 2 # home and not home\n",
- "\n",
- "current_season_games = max(players_old['games'])\n",
- "\n",
- "for i in range(players.shape[0]):\n",
- " home = 0\n",
- " \n",
- " for k in range(tot_matches):\n",
- " #matchday_out = k + 1\n",
- " #[player, team, oppteam, home] = PlayerMatch(players.index[i], matchday_out)\n",
- " \n",
- " player = players.index[i]\n",
- " team = players['team'][i]\n",
- " oppteam = 'Avg'\n",
- " home = not home\n",
- " \n",
- " oldseason_ok = True\n",
- " \n",
- " try:\n",
- " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home, oldseason = True)\n",
- " games = max( players_old['games'][i], players_old['gk_games'][i] )\n",
- " mins = max( players_old['minutes'][i], players_old['gk_minutes'][i] )\n",
- " except:\n",
- " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home)\n",
- " oldseason_ok = False\n",
- " games = 0\n",
- " mins = 0\n",
- " \n",
- "\n",
- " role = players['r'][player] \n",
- "\n",
- " starter = 0\n",
- " voteperc = 0\n",
- " \n",
- " cs = 0\n",
- " if(role == 'P'):\n",
- " cs = dist[2].probs.numpy()[0] * 100\n",
- " \n",
- " starter = int( player in gk_starters )\n",
- " if(starter):\n",
- " voteperc = 100\n",
- " else:\n",
- " voteperc = 0\n",
- " else:\n",
- " starter = int ( 1 * (games >= current_season_games * 2/3 and mins / games >= 45 ) )\n",
- " voteperc = int( min( 1, games / current_season_games ) * 100) \n",
- " \n",
- " if (not oldseason_ok):\n",
- " starter = -1\n",
- " voteperc = -100\n",
- "\n",
- " if(k == 0):\n",
- " row = [player, role, team, 'Avg', 1, starter, voteperc]\n",
- " \n",
- " numrow_ = [mean[0], std[0], \n",
- " mean[1], std[1], \n",
- " dist[0].loc.numpy()[0], dist[0].scale.numpy()[0], \n",
- " dist[0].skewness.numpy()[0], dist[0].tailweight.numpy()[0], \n",
- " dist[1].loc.numpy()[0], dist[1].scale.numpy()[0], \n",
- " dist[1].skewness.numpy()[0], dist[1].tailweight.numpy()[0],\n",
- " cs] \n",
- "\n",
- " if(k == 0):\n",
- " numrow = numrow_\n",
- " else:\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] += numrow_[j]\n",
- "\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] /= tot_matches\n",
- " \n",
- " print(players.index[i] + ' (' + \"{:.2f}\".format(numrow[0]) + ', ' + \"{:.2f}\".format(numrow[1]) + \n",
- " '); (' + \"{:.2f}\".format(numrow[2]) + ', ' + \"{:.2f}\".format(numrow[3]) + ')' )\n",
- " \n",
- " row += numrow # list concat\n",
- " \n",
- " row_df = pd.DataFrame(data = [row], columns = output.columns)\n",
- "\n",
- " output = pd.concat([output, row_df])\n",
- " \n",
- " \n",
- "\n",
- "output = output.set_index('player')\n",
- "\n",
- "output = output.sort_values(['role', 'FV'], ascending = [False, False])\n",
- "\n",
- "template_file = 'outputs/pred_matchday_base.xlsx'\n",
- "dest_file = 'outputs/pred_avg_seriea_season2122.xlsx'\n",
- "\n",
- "shutil.copyfile(template_file, dest_file)\n",
- "\n",
- "with pd.ExcelWriter(dest_file, mode = 'a', engine=\"openpyxl\", if_sheet_exists = 'replace') as writer: \n",
- " output.to_excel(writer, sheet_name='data')"
- ]
- },
{
"cell_type": "markdown",
"id": "cf9df3bb",
@@ -7283,66 +9201,82 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 34,
"id": "7300f3c2",
- "metadata": {},
+ "metadata": {
+ "scrolled": true
+ },
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Terracciano: MV 6.30 ± 0.71; FV 4.72 + 1.43 (5.7% cs)\n",
- "Maignan: MV 6.27 ± 0.84; FV 5.66 + 1.16 (56.8% cs)\n",
- "Tatarusanu: MV 6.22 ± 0.78; FV 5.53 + 1.19 (45.2% cs)\n",
- "Handanovic: MV 5.89 ± 0.66; FV 3.40 + 1.88 (1.4% cs)\n",
- "Onana: MV 6.32 ± 0.73; FV 5.05 + 1.33 (11.7% cs)\n",
- "Sepe: MV 6.39 ± 0.74; FV 4.76 + 1.42 (6.4% cs)\n",
- "Di Gregorio: MV 5.83 ± 0.80; FV 3.91 + 1.59 (4.5% cs)\n",
- "Szczesny: MV 6.15 ± 0.77; FV 5.54 + 1.19 (47.8% cs)\n",
- "Audero: MV 6.34 ± 0.77; FV 5.27 + 1.28 (17.9% cs)\n",
- "Silvestri: MV 6.34 ± 0.71; FV 4.18 + 1.60 (2.7% cs)\n",
- "Carnesecchi: MV 6.17 ± 0.82; FV 5.58 + 1.17 (56.1% cs)\n",
- "Dragowski: MV 6.52 ± 0.82; FV 5.18 + 1.30 (13.1% cs)\n",
- "Milinkovic-Savic V.: MV 6.27 ± 0.77; FV 4.90 + 1.38 (12.4% cs)\n",
- "Sportiello: MV 6.32 ± 0.86; FV 5.06 + 1.31 (18.5% cs)\n",
- "Falcone: MV 6.34 ± 0.79; FV 5.47 + 1.21 (34.2% cs)\n",
- "Consigli: MV 6.12 ± 0.70; FV 4.86 + 1.35 (12.9% cs)\n",
- "Vicario: MV 6.32 ± 0.85; FV 5.64 + 1.17 (51.2% cs)\n"
+ "Meret: MV 6.28 ± 0.85; FV 5.50 + 1.44 (51.2% cs)\n",
+ "Szczesny: MV 6.24 ± 0.82; FV 5.66 + 1.20 (64.1% cs)\n",
+ "Provedel: MV 6.25 ± 0.83; FV 5.65 + 1.27 (62.9% cs)\n",
+ "Maignan: MV 6.51 ± 0.90; FV 5.93 + 1.10 (45.0% cs)\n",
+ "Rui Patricio: MV 6.05 ± 0.77; FV 5.38 + 1.25 (53.8% cs)\n",
+ "Onana: MV 6.37 ± 0.78; FV 5.16 + 1.17 (18.4% cs)\n",
+ "Milinkovic-Savic V.: MV 6.20 ± 0.77; FV 5.35 + 0.89 (26.9% cs)\n",
+ "Musso: MV 6.36 ± 0.86; FV 5.64 + 1.24 (43.8% cs)\n",
+ "Vicario: MV 6.46 ± 0.87; FV 5.88 + 1.21 (60.8% cs)\n",
+ "Silvestri: MV 6.39 ± 0.83; FV 5.71 + 1.16 (46.2% cs)\n",
+ "Terracciano: MV 6.19 ± 0.77; FV 4.58 + 1.10 (4.1% cs)\n",
+ "Skorupski: MV 6.17 ± 0.71; FV 4.56 + 0.94 (5.2% cs)\n",
+ "Falcone: MV 6.37 ± 0.84; FV 5.13 + 1.02 (8.7% cs)\n",
+ "Di Gregorio: MV 6.42 ± 0.87; FV 5.69 + 0.99 (36.9% cs)\n",
+ "Consigli: MV 6.39 ± 0.78; FV 4.83 + 1.19 (7.7% cs)\n",
+ "Carnesecchi: MV 6.33 ± 0.82; FV 5.49 + 1.28 (37.1% cs)\n",
+ "Montipo': MV 6.30 ± 0.89; FV 4.39 + 1.24 (2.4% cs)\n",
+ "Audero: MV 6.26 ± 0.81; FV 4.60 + 1.03 (4.2% cs)\n",
+ "Dragowski: MV 6.37 ± 0.81; FV 4.71 + 1.13 (3.1% cs)\n",
+ "Ochoa: MV 6.44 ± 0.82; FV 5.12 + 1.19 (6.2% cs)\n",
+ "Tatarusanu: MV 5.86 ± 0.65; FV 3.31 + 2.21 (0.9% cs)\n",
+ "Handanovic: MV 6.09 ± 0.70; FV 4.79 + 1.18 (11.7% cs)\n",
+ "Sportiello: MV 6.22 ± 0.78; FV 5.37 + 1.22 (27.8% cs)\n",
+ "Sepe: MV 6.52 ± 0.80; FV 5.22 + 1.24 (12.7% cs)\n"
]
},
{
"data": {
"text/plain": [
- "[array([6.31691631, 5.6403682 ]),\n",
- " array([0.42497158, 0.58689165], dtype=float32),\n",
+ "[array([6.51791594, 5.21583604]),\n",
+ " array([0.40012765, 0.61914635], dtype=float32),\n",
" [,\n",
" ,\n",
" ]]"
]
},
- "execution_count": 28,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "predict_player('Terracciano', log = 1, plot = 0)\n",
+ "predict_player('Meret', log = 1, plot = 0)\n",
+ "predict_player('Szczesny', log = 1, plot = 0)\n",
+ "predict_player('Provedel', log = 1, plot = 0)\n",
"predict_player('Maignan', log = 1, plot = 0)\n",
+ "predict_player('Rui Patricio', log = 1, plot = 0)\n",
+ "predict_player('Onana', log = 1, plot = 0)\n",
+ "predict_player('Milinkovic-Savic V.', log = 1, plot = 0)\n",
+ "predict_player('Musso', log = 1, plot = 0)\n",
+ "predict_player('Vicario', log = 1, plot = 0)\n",
+ "predict_player('Silvestri', log = 1, plot = 0)\n",
+ "predict_player('Terracciano', log = 1, plot = 0)\n",
+ "predict_player('Skorupski', log = 1, plot = 0)\n",
+ "predict_player('Falcone', log = 1, plot = 0)\n",
+ "predict_player('Di Gregorio', log = 1, plot = 0)\n",
+ "predict_player('Consigli', log = 1, plot = 0)\n",
+ "predict_player('Carnesecchi', log = 1, plot = 0)\n",
+ "predict_player('Montipo\\'', log = 1, plot = 0)\n",
+ "predict_player('Audero', log = 1, plot = 0)\n",
+ "predict_player('Dragowski', log = 1, plot = 0)\n",
+ "predict_player('Ochoa', log = 1, plot = 0)\n",
"predict_player('Tatarusanu', log = 1, plot = 0)\n",
"predict_player('Handanovic', log = 1, plot = 0)\n",
- "predict_player('Onana', log = 1, plot = 0)\n",
- "predict_player('Sepe', log = 1, plot = 0)\n",
- "predict_player('Di Gregorio', log = 1, plot = 0)\n",
- "predict_player('Szczesny', log = 1, plot = 0)\n",
- "predict_player('Audero', log = 1, plot = 0)\n",
- "predict_player('Silvestri', log = 1, plot = 0)\n",
- "predict_player('Carnesecchi', log = 1, plot = 0)\n",
- "predict_player('Dragowski', log = 1, plot = 0)\n",
- "predict_player('Milinkovic-Savic V.', log = 1, plot = 0)\n",
"predict_player('Sportiello', log = 1, plot = 0)\n",
- "predict_player('Falcone', log = 1, plot = 0)\n",
- "predict_player('Consigli', log = 1, plot = 0)\n",
- "predict_player('Vicario', log = 1, plot = 0)"
+ "predict_player('Sepe', log = 1, plot = 0)"
]
},
{
@@ -7402,7 +9336,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 37,
"id": "4b9f5a7d",
"metadata": {},
"outputs": [
@@ -7410,32 +9344,25 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Skriniar: MV 6.06 ± 0.88; FV 6.21 + 1.04\n",
- "Cuadrado: MV 6.11 ± 0.82; FV 6.33 + 1.20\n",
- "Bastoni: MV 6.10 ± 0.80; FV 6.23 + 0.95\n",
- "Barak: MV 6.08 ± 1.33; FV 7.10 + 3.33\n",
- "Politano: MV 6.08 ± 0.74; FV 6.35 + 1.22\n",
- "Smalling: MV 6.18 ± 0.92; FV 6.51 + 1.54\n",
- "Gosens: MV 6.02 ± 0.66; FV 6.08 + 0.75\n",
- "Skriniar: MV 5.75 ± 0.68; FV 5.70 + 0.58\n",
- "Cuadrado: MV 5.82 ± 0.95; FV 5.80 + 0.92\n",
- "Bastoni: MV 5.84 ± 0.91; FV 5.86 + 0.82\n",
- "Barak: MV 5.76 ± 0.70; FV 5.75 + 0.72\n",
- "Politano: MV 6.19 ± 0.77; FV 6.62 + 1.48\n",
- "Smalling: MV 6.17 ± 1.06; FV 6.60 + 1.91\n",
- "Gosens: MV 5.75 ± 0.65; FV 5.80 + 0.85\n"
+ "Skriniar: MV 6.14 ± 0.82; FV 6.38 + 1.13\n",
+ "Cuadrado: MV 6.29 ± 0.96; FV 6.83 + 1.94\n",
+ "Bastoni: MV 6.13 ± 0.73; FV 6.32 + 0.98\n",
+ "Barak: MV 6.31 ± 1.41; FV 7.50 + 3.97\n",
+ "Politano: MV 6.18 ± 0.82; FV 6.57 + 1.55\n",
+ "Smalling: MV 6.17 ± 0.86; FV 6.56 + 1.43\n",
+ "Gosens: MV 6.05 ± 0.54; FV 6.11 + 0.66\n"
]
},
{
"data": {
"text/plain": [
- "[array([5.75403311, 5.80380687]),\n",
- " array([0.3249786 , 0.42722106], dtype=float32),\n",
+ "[array([6.04807256, 6.10812885]),\n",
+ " array([0.27137518, 0.32888246], dtype=float32),\n",
" [,\n",
" ]]"
]
},
- "execution_count": 35,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
@@ -7466,7 +9393,7 @@
"outputs": [
{
"data": {
- "image/png": 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0XLx40dyH5caNGzhy5AgcHR3x0UcfVeq+fv31V3NScbdhw4bh22+/Rd++fdG7d2+MGzcOAQEByMjIQEJCAo4fP47169cDMH3h/Pe//8WMGTPQtWtXnDlzBrNmzUJoaCj0er35nGPGjMH8+fMxduxYXLp0Cc2bN8eBAwcwe/Zs9OvXDz169Cgz1qK+IGfPnrUY1VSSyMhIREZGVuIdKW7AgAFYsWIFwsLC0KJFC8TGxmLu3LlVMp+Fm5sbBg8ejBUrVuDWrVt48803LfprnDp1Cq+88gqefvppNGjQAEqlErt27cKpU6fw7rvvWjUWmUyGOXPmYPTo0RgwYABefPFFaDQazJ07F7du3cInn3xy33N06tQJ//nPfzB+/HgcO3YMXbp0gaOjI5KTk3HgwAE0b968wgljvXr1YG9vjx9++AGNGzeGk5MT/P394e/vX9lbBVD+z3GRP//8E56enpVKqKiGkrb/LNUmRaNpjh49WmxfQUGBGBQUJDZo0EDU6/WiKIriJ598IoaEhIgqlUps3LixuGTJkhJ79Jc2miY6Olps1KiRqFKpxLp164pRUVHismXLRABiYmKiRdlNmzaJ3bp1E11cXESVSiUGBweLw4YNE//44w9zmYqOpiltKXLy5Elx+PDhore3t2hnZyf6+vqKTzzxhLho0SJzGY1GI7755ptiQECAqFarxTZt2oibNm0Sx44dW2z0Snp6ujhp0iTRz89PVCgUYnBwsDht2jSxsLDwvjFnZWWJTk5O4pw5cyy23z2apiyVHU2TmZkpTpw4UfT29hYdHBzExx9/XNy/f7/YtWtXsWvXrveNozwjdO62Y8cO87/D2bNnLfbduHFDHDdunBgWFiY6OjqKTk5OYosWLcT//e9/5s9kae43gure0TRFNm3aJLZv315Uq9Wio6Oj2L17d/HgwYMVOnd0dLTYvn170dHRUbS3txfr1asnjhkzRjx27Ji5TGk/IyV9jtasWSOGhYWJdnZ2IgBxxowZFnHcLTg4WOzfv3+x897771eRz7HRaBSDg4OLjXAj2yaIYgkzQBFRrfPqq69i586dOH36dJU/g4SoNDt37kSvXr1w+vRphIWFSR0OVRMmI0QEwDQ6o2HDhli2bNkDj5Ihqqxu3bqhfv36WLJkidShUDVinxEiAmCahvuHH34oNqSUqLpkZmaia9eu5iHuVHuwZoSIiIgkxaG9REREJCkmI0RERCQpJiNEREQkqRrRgdVoNOL69etwdnbmkEMiIqIaQhRF5OTkwN/f32KSwXvViGTk+vXrCAwMlDoMIiIiqoQrV66UObNyjUhGiqbUvnLlClxcXCSOhqjmycsDimb0vn4dcHSUNh5ryNPmwf9z001df+M6HJU2cFNENiY7OxuBgYElPhrjbjUiGSlqmnFxcWEyQlQJdz0vEC4utpGMyLVy4PYDmV1cXJiMED3E7tfFgh1YiYiISFI1omaEiB6MQgGMHXtn3RYoZAqMbTnWvE5ENVeNmIE1Ozsbrq6uyMrKYjMNERFRDVHe72/+OUFEZGMMBgN0Op3UYVAtIJfLoVAoHnjaDSYjRLWAKAL5+aZ1BwfAFqbrEUUR+TrTTTnYOXAOottyc3Nx9epV1IBKb7IRDg4O8PPzg1KprPQ5mIwQ1QL5+YCTk2k9N9c2RtPk6/LhFGW6qdxpuRxNA1ONyNWrV+Hg4IA6deowQaMqJYoitFotbt68icTERDRo0KDMic3KwmSEiMhG6HQ6iKKIOnXqwN7eXupwqBawt7eHnZ0dLl++DK1WC7VaXanzcGgvEZGNYY0IVafK1oZYnMMKcRARERFVGpMRIiIikhSTESIiIpIUkxEiIpLUuHHjIAgCJk2aVGzf5MmTIQgCxo0bBwAYOHAgevToUeJ5Dh8+DEEQcPz48VKvlZCQgCeffBKurq5wdnbGY489hqSkpFLLb9y4EeHh4XBzc4OjoyNatWqF77//vtTyUVFREAQBU6ZMKbWMNRQWFmLcuHFo3rw5FAoFBg0aVKHjNRoNWrVqBUEQEBcXZ96enp6OPn36wN/fHyqVCoGBgXjllVeQnZ1t3Ru4B5MRolpALgeGDTMtdz80ryaTy+QY1mQYhjUZBrnMRm6qFgsMDMSPP/6IgoIC87bCwkKsWbMGQUFB5m0TJ07Erl27cPny5WLniI6ORqtWrdCmTZsSr3HhwgU8/vjjCAsLw549e3Dy5El88MEHZY4A8fDwwPTp03H48GGcOnUK48ePx/jx47F9+/ZiZY8ePYrFixejRYsWFbl1AMDMmTPNCVd5GAwG2Nvb47XXXis1OSvL22+/Df+iR3nfRSaT4amnnsIvv/yCs2fPYsWKFfjjjz9KTBStiUN7iWoBtRpYv17qKKxLrVBj/dM2dlNWdvdkd9WtopPrtWnTBhcvXsTGjRsxevRoAKZaicDAQNStW9dcbsCAAfD29saKFSswY8YM8/b8/HysXbsWs2fPLvUa06dPR79+/TBnzhzztrvPXZKIiAiL16+//jpWrlyJAwcOoHfv3ubtubm5GD16NJYsWYKPP/64XPf8IBwdHbFw4UIAwMGDB3Hr1q1yH/v7779jx44d+Omnn/D7779b7HN3d8dLL71kfh0cHIzJkydj7ty5Vom7NKwZISKyUUWT3UmxVCYJGj9+PJYvX25+HR0djQkTJliUUSgUGDNmDFasWGExy+z69euh1WrNicy9jEYjtmzZgoYNG6J3797w9vZG+/btsWnTpnLHJ4oidu7ciTNnzqBLly4W+15++WX079+/UrUU1enGjRt44YUX8P3338PBweG+5a9fv46NGzeia9euVRoXkxEiInooPPfcczhw4AAuXbqEy5cv4+DBg3j22WeLlZswYQIuXbqEPXv2mLdFR0djyJAhcHd3L/HcqampyM3NxSeffII+ffpgx44dGDx4MIYMGYK9e/eWGVdWVhacnJygVCrRv39/fP311+jZs6d5/48//ojY2FhERUWV+173798PJycn8zJ79mz88MMPxbZZkyiKGDduHCZNmoTw8PAyy44cORIODg4ICAiAi4sLli5datVY7sVmGqJaIC/P9qaDz9PmcTr4+3BwMP17S3XtivLy8kL//v2xcuVKiKKI/v37w8vLq1i5sLAwdOzYEdHR0ejWrRsuXLiA/fv3Y8eOHaWe22g0AgCeeuopTJ06FQDQqlUrHDp0CIsWLSrzL39nZ2fExcUhNzcXO3fuRGRkJOrWrYuIiAhcuXIFr7/+Onbs2FGh2UfDw8MtOo5+9dVXuHbtGj799FPzNg8Pj3Kfrzy+/vprZGdnY9q0afct+7///Q8zZszAmTNn8N577yEyMhILFiywajx3q3Aysm/fPsydOxexsbFITk7Gzz//XO5evAcPHkTXrl3RrFkzi38EIiKyPkGoeYnnhAkT8MorrwAA5s+fX2q5iRMn4pVXXsH8+fOxfPlyBAcHo3v37qWW9/LygkKhQJMmTSy2N27cGAcOHCgzJplMhvr16wMwJTAJCQmIiopCREQEYmNjkZqairZt25rLGwwG7Nu3D9988w00Gg3kJfQat7e3N58TMCUe2dnZFtusbdeuXfjzzz+hUqkstoeHh2P06NFYuXKleZuvry98fX0RFhYGT09PdO7cGR988AH8/PyqJLYKN9Pk5eWhZcuW+Oabbyp0XFZWFsaMGVPmh4WIiGq3Pn36QKvVQqvVWnQQvdfw4cMhl8uxevVqrFy5EuPHjy9zGnylUol27drhzJkzFtvPnj2L4ODgCsUoiiI0Gg0AoHv37vj7778RFxdnXoq+3OPi4kpMRKTy1Vdf4eTJk+Y4t27dCgBYu3Yt/u///q/U44r65hTdc1WocM1I37590bdv3wpf6MUXX8SoUaMgl8sr1GGIiIhqD7lcjoSEBPN6aZycnDBixAi89957yMrKKtew2LfeegsjRoxAly5d0K1bN2zbtg2//vqrRd+TMWPGICAgwNz/IyoqCuHh4ahXrx60Wi22bt2K7777zjySxdnZGc2aNbO4jqOjIzw9PYttv5tWq0VGRob5ddHQ2ZSUFIt7dCpqXy1BfHy8+Tw5OTnmFodWrVoBAI4cOYIxY8Zg586dCAgIsBgiXXR+AKhXrx4eeeQRAMDWrVtx48YNtGvXDk5OToiPj8fbb7+NTp06ISQkpNRYHlS19BlZvnw5Lly4gFWrVpVryJNGo7HIwKp6shUiInp4uLi4lKvcxIkTsWzZMvTq1avYF21JBg8ejEWLFiEqKgqvvfYaGjVqhJ9++gmPP/64uUxSUpLFg9/y8vIwefJkXL16Ffb29ggLC8OqVaswYsSIit/YXQ4dOoRu3bqVWWbGjBmYOXNmqfv79etnMd9K69atAdypycjPz8eZM2eg0+nKHZe9vT2WLFmCqVOnQqPRIDAwEEOGDMG7775b7nNUhiDePTaqogcLwn37jJw7dw6PP/449u/fj4YNG2LmzJnYtGlTmX1GZs6ciY8++qjY9qysrHJ/SInoDnZgrR0KCwuRmJiI0NDQSj/KnaiiyvrcZWdnw9XV9b7f31U6tNdgMGDUqFH46KOP0LBhw3IfN23aNGRlZZmXK1euVGGUREREJKUqbabJycnBsWPHcOLECXPvaKPRCFEUoVAosGPHDjzxxBPFjlOpVMV6+xJR5cnlQL9+d9ZtgVwmR78G/czrRFRzVWky4uLigr///tti24IFC7Br1y5s2LABoaGhVXl5IrpNrQa2bJE6CutSK9TYMsrGboqolqpwMpKbm4vz58+bXycmJiIuLg4eHh4ICgrCtGnTcO3aNXz33XeQyWTFehN7e3tDrVaX2cuYiIiIao8KJyPHjh2z6AEcGRkJABg7dixWrFiB5OTkMh/HTERERHS3BxpNU13K2xuXiEqWlwd4e5vWU1NtZzSN92emm0p9M5WjacDRNCQNa4ym4bNpiGoJqR4lX5XydTZ4U0S1EJ/aS0RERJJiMkJERESSYjJCREREkmIyQkREkho3bhwEQSi2nD9/HgMHDkSPHj1KPO7w4cMQBAHHjx8vcX9J5xQEAXPnzi01Fp1Oh1mzZqFevXpQq9Vo2bIltm3bZlFm5syZxc7p6+tb+Teggs6fPw9nZ2e4ubmVWW7Pnj2lvgdHjx41l9u5cyc6duwIZ2dn+Pn54Z133oFer6/iu7DEZISIiCTXp08fJCcnWyyhoaGYOHEidu3aZfFAuCLR0dFo1aoV2rRpU+I57z1fdHQ0BEHA0KFDS43j/fffx7fffouvv/4a8fHxmDRpEgYPHowTJ05YlGvatKnFue+d4PN+Zs6cWa4nDd9Lp9Nh5MiR6Ny5833LduzYsdh78PzzzyMkJATh4eEAgFOnTqFfv37o06cPTpw4gR9//BG//PJLlT8Y714cTUNUC8hkQNeud9ZtgUyQoWtwV/M6FSeKomQjjhzsHCAIQrnLq1SqEmsXBgwYAG9vb6xYsQIzZswwb8/Pz8fatWsxe/bsUs957/k2b96Mbt26oW7duqUe8/3332P69Onod/v5CS+99BK2b9+Ozz//HKtWrTKXUygU1VobUuT9999HWFgYunfvjkOHDpVZVqlUWsSo0+nwyy+/4JVXXjH/2/z4449o0aIFPvzwQwBA/fr1ERUVhZEjR2LGjBlwdnauupu5C5MRolrA3h7Ys0fqKKzL3s4ee8btkTqMh1q+Lt/8ZOPqZq0nKSsUCowZMwYrVqzAhx9+aP4SXb9+PbRaLUaPHl2u89y4cQNbtmzBypUryyyn0WiKzZVhb2+PAwcOWGw7d+4c/P39oVKp0L59e8yePbvMJMcadu3ahfXr1yMuLg4bN26s8PG//PIL0tLSLGpkSrvfwsJCxMbGIiIi4gGjLh/+OUFERJL77bff4OTkZF6efvpp874JEybg0qVL2HNXRh0dHY0hQ4bA3d29XOdfuXIlnJ2dMWTIkDLL9e7dG/PmzcO5c+dgNBoRExODzZs3Izk52Vymffv2+O6777B9+3YsWbIEKSkp6NixI9LT0yt20xWQnp6OcePGYcWKFZWe/HPZsmXo3bs3AgMDzdt69+6NQ4cOYc2aNTAYDLh27Ro+/vhjALC456rGmhEiIhvlYOeA3Gm5kl27Irp164aFCxeaXzveNU1wWFgYOnbsiOjoaHTr1g0XLlzA/v37sWPHjnKfPzo6GqNHj77vzLRffvklXnjhBYSFhUEQBNSrVw/jx4/H8uXLzWX69u1rXm/evDk6dOiAevXqYeXKleZHpNxr//79FsdptVqIoogNGzaYt7333nt47733Sjz+hRdewKhRo9ClS5dy3e+9rl69iu3bt2PdunUW23v16oW5c+di0qRJeO6556BSqfDBBx/gwIEDkFfnI77FGiArK0sEIGZlZUkdClGNlJsril5epiU3V+porCNXkyt6zfESveZ4ibkaG7mpB1RQUCDGx8eLBQUFUodSIWPHjhWfeuqpMsssW7ZMtLe3F7OyssTp06eLISEhotFoLNf59+3bJwIQ4+Liyh1TQUGBePXqVdFoNIpvv/222KRJkzLL9+jRQ5w0aVKp+/Pz88Vz586Zl1dffVUcMmSIxbb09PRSj3d1dRXlcrl5kclkIgBRLpeLy5Ytu+/9zJo1S6xTp46o1WpL3G80GsVr166J+fn5Ynx8vAhAPHLkyH3PK4plf+7K+/3NmhGiWiItTeoIrC8t3wZviko0fPhwvP7661i9ejVWrlyJF154odwdZJctW4a2bduiZcuW5b6eWq1GQEAAdDodfvrpJwwfPrzUshqNBgkJCWWOcLG3t0f9+vXNrz08PJCdnW2xrSyHDx+GwWAwv968eTM+/fRTHDp0CAEBAWUeK4oili9fjjFjxsDOzq7EMoIgwN/fHwCwZs0aBAYGljpKqSowGSEiooeek5MTRowYgffeew9ZWVnlHhabnZ2N9evX4/PPPy9x/5gxYxAQEICoqCgAwF9//YVr166hVatWuHbtGmbOnAmj0Yi3337bfMybb76JgQMHIigoCKmpqfj444+RnZ2NsWPHPvB9lqZx48YWr48dOwaZTIZmzZqZtx05cgRjxozBzp07LRKUXbt2ITExERMnTizx3HPnzkWfPn0gk8mwceNGfPLJJ1i3bl21NtOwAysREdUIEydORGZmJnr06IGgoKByHfPjjz9CFEWMHDmyxP1JSUkWHTULCwvx/vvvo0mTJhg8eDACAgJw4MABiwnGrl69ipEjR6JRo0YYMmQIlEol/vzzTwQHBz/Q/T2o/Px8nDlzBjqdzmL7smXL0LFjx2IJTZHff/8dnTt3Rnh4OLZs2YLNmzdj0KBB1RDxHYIoimK1XrESyvsIYiIqWV4e4HR7hGduLuD44CMuJZenzTMPW7XWMNKarqxHuRNVlbI+d+X9/mbNCBEREUmKyQgRERFJih1YiWoBmQy4/SgKm5oOPtw/3LxORDUXkxGiWsDeHrjrIZ02wd7OHkdfsLGbIqql+OcEEZGNqQHjEsiGWOPzxmSEiMhGFM0LodVqJY6EapP8fNOToUubUK082ExDVAvk5wNNmpjW4+MBh4o9NuShlK/LR5P5ppuKfzm+ws9CsUUKhQIODg64efMm7OzsILOVDkL0UBJFEfn5+UhNTYWbm9sDTZLGZISoFhBF4PLlO+u2QBRFXM66bF4n05Tefn5+SExMxOWif3CiKubm5gZfX98HOgeTESIiG6JUKtGgQQM21VC1sLOzs8q08UxGiIhsjEwm4wysVKOwQZGIiIgkxWSEiIiIJMVkhIiIiCTFPiNEtYAg3BnaKwjSxmItgiCgSZ0m5nUiqrmYjBDVAg4OwOnTUkdhXQ52Djg92cZuiqiWYjMNERERSYrJCBEREUmKyQhRLZCfDzRtalpuP0aixsvX5aPpgqZouqAp8nU2clNEtRT7jBDVAqJoeiZN0botEEUR8TfjzetEVHOxZoSIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJFXhZGTfvn0YOHAg/P39IQgCNm3aVGb5jRs3omfPnqhTpw5cXFzQoUMHbN++vbLxElElCAIQHGxabGXmdEEQEOwajGDXYE4HT1TDVTgZycvLQ8uWLfHNN9+Uq/y+ffvQs2dPbN26FbGxsejWrRsGDhyIEydOVDhYIqocBwfg0iXT4uAgdTTW4WDngEtTLuHSlEtwsLORmyKqpQTxAQboC4KAn3/+GYMGDarQcU2bNsWIESPw4Ycflqt8dnY2XF1dkZWVBRcXl0pESkRERNWtvN/f1T7pmdFoRE5ODjw8PEoto9FooNFozK+zs7OrIzQiIiKSQLV3YP3888+Rl5eH4cOHl1omKioKrq6u5iUwMLAaIySyPQUFQLt2pqWgQOporKNAV4B2S9qh3ZJ2KNDZyE0R1VLVWjOyZs0azJw5E5s3b4a3t3ep5aZNm4bIyEjz6+zsbCYkRA/AaASOHbuzbguMohHHrh8zrxNRzVVtycjatWsxceJErF+/Hj169CizrEqlgkqlqqbIiIiISErV0kyzZs0ajBs3DqtXr0b//v2r45JERERUQ1S4ZiQ3Nxfnz583v05MTERcXBw8PDwQFBSEadOm4dq1a/juu+8AmBKRMWPG4Msvv8Rjjz2GlJQUAIC9vT1cXV2tdBtERERUU1W4ZuTYsWNo3bo1WrduDQCIjIxE69atzcN0k5OTkZSUZC7/7bffQq/X4+WXX4afn595ef311610C0RERFSTVbhmJCIiAmVNTbJixQqL13v27KnoJYiIiKgWqfZ5RohIGl5eUkdgfV4ONnhTRLUQkxGiWsDREbh5U+oorMtR6Yibb9nYTRHVUnxqLxEREUmKyQgRERFJiskIUS1QUABERJgWW5oOPmJFBCJWRHA6eKIajn1GiGoBoxHYu/fOui0wikbsvbzXvE5ENRdrRoiIiEhSTEaIiIhIUkxGiIiISFJMRoiIiEhSTEaIiIhIUhxNQ1RLODhIHYH1OdjZ4E0R1UJMRohqAUdHIC9P6iisy1HpiLz3bOymiGopNtMQERGRpJiMEBERkaSYjBDVAoWFQP/+pqWwUOporKNQX4j+q/uj/+r+KNTbyE0R1VLsM0JUCxgMwNatd9ZtgcFowNZzW83rRFRzsWaEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxaG9RLWAoyMgilJHYV2OSkeIM2zspohqKdaMEBERkaSYjBAREZGkmIwQ1QKFhcDTT5sWW5oO/un1T+Pp9U9zOniiGo7JCFEtYDAAGzaYFluaDn5D/AZsiN/A6eCJajgmI0RERCQpJiNEREQkKSYjREREJCkmI0RERCQpJiNEREQkKSYjREREJClOB09UCzg4ALm5d9ZtgYOdA3Kn5ZrXiajmYjJCVAsIgun5NLZEEAQ4Km3spohqKTbTEBERkaSYjBDVAhoNMG6cadFopI7GOjR6DcZtGodxm8ZBo7eRmyKqpSqcjOzbtw8DBw6Ev78/BEHApk2b7nvM3r170bZtW6jVatStWxeLFi2qTKxEVEl6PbBypWnR66WOxjr0Rj1WnlyJlSdXQm+0kZsiqqUqnIzk5eWhZcuW+Oabb8pVPjExEf369UPnzp1x4sQJvPfee3jttdfw008/VThYIiIisj0V7sDat29f9O3bt9zlFy1ahKCgIHzxxRcAgMaNG+PYsWP47LPPMHTo0IpenoiIiGxMlfcZOXz4MHr16mWxrXfv3jh27Bh0Ol2Jx2g0GmRnZ1ssREREZJuqPBlJSUmBj4+PxTYfHx/o9XqkpaWVeExUVBRcXV3NS2BgYFWHSURERBKpltE0giBYvBZFscTtRaZNm4asrCzzcuXKlSqPkYiIiKRR5ZOe+fr6IiUlxWJbamoqFAoFPD09SzxGpVJBpVJVdWhERET0EKjyZKRDhw749ddfLbbt2LED4eHhsLOzq+rLExFMU8Cnpt5ZtwUOdg5IfTPVvE5ENVeFm2lyc3MRFxeHuLg4AKahu3FxcUhKSgJgamIZM2aMufykSZNw+fJlREZGIiEhAdHR0Vi2bBnefPNN69wBEd2XIAB16piWUlpHaxxBEFDHsQ7qONYptcmXiGqGCteMHDt2DN26dTO/joyMBACMHTsWK1asQHJysjkxAYDQ0FBs3boVU6dOxfz58+Hv74+vvvqKw3qJiIgIACCIRb1JH2LZ2dlwdXVFVlYWXFxcpA6HqMbRaIDbfzdg3jzAFrpkafQaRG433dS83vOgUtjATRHZmPJ+fzMZIaoF8vIAJyfTem6ubTzBN0+bB6co003lTsvlE3yJHkLl/f7mg/KIiIhIUkxGiIiISFJMRoiIiEhSTEaIiIhIUkxGiIiISFJMRoiIiEhSVT4dPBFJz94eSEy8s24L7O3skfh6onmdiGouJiNEtYBMBoSESB2FdckEGULcQqQOg4isgM00REREJCkmI0S1gFYLvPWWadFqpY7GOrQGLd7a8Rbe2vEWtAYbuSmiWorTwRPVApwOnoikwOngiYiIqEZgMkJERESSYjJCREREkmIyQkRERJJiMkJERESSYjJCREREkuIMrES1gL098M8/d9Ztgb2dPf556R/zOhHVXExGiGoBmQxo2lTqKKxLJsjQ1NvGboqolmIzDREREUmKNSNEtYBWC8yebVp/7z1AqZQ2HmvQGrSYvd90U+91fg9KuQ3cFFEtxengiWoBTgdPRFLgdPBERERUIzAZISIiIkkxGSEiIiJJMRkhIiIiSTEZISIiIkkxGSEiIiJJcZ4RolpArQaOHLmzbgvUCjWOPH/EvE5ENReTEaJaQC4H2rWTOgrrksvkaBdgYzdFVEuxmYaIiIgkxZoRolpAqwW+/NK0/vrrtjMd/Jd/mm7q9cde53TwRDUYp4MnqgU4HTwRSYHTwRMREVGNwGSEiIiIJMVkhIiIiCTFZISIiIgkValkZMGCBQgNDYVarUbbtm2xf//+Msv/8MMPaNmyJRwcHODn54fx48cjPT29UgETERGRbalwMrJ27VpMmTIF06dPx4kTJ9C5c2f07dsXSUlJJZY/cOAAxowZg4kTJ+L06dNYv349jh49iueff/6BgyciIqKar8JDe9u3b482bdpg4cKF5m2NGzfGoEGDEBUVVaz8Z599hoULF+LChQvmbV9//TXmzJmDK1eulOuaHNpL9GAMBqCoArNzZ9OMrDWdwWjA/iTTTXUO6gy5zAZuisjGVMnQXq1Wi9jYWPTq1ctie69evXDo0KESj+nYsSOuXr2KrVu3QhRF3LhxAxs2bED//v1LvY5Go0F2drbFQkSVJ5cDERGmxRYSEcA0HXxESAQiQiKYiBDVcBVKRtLS0mAwGODj42Ox3cfHBykpKSUe07FjR/zwww8YMWIElEolfH194ebmhq+//rrU60RFRcHV1dW8BAYGViRMIiIiqkEq1YFVEASL16IoFttWJD4+Hq+99ho+/PBDxMbGYtu2bUhMTMSkSZNKPf+0adOQlZVlXsrbnENEJdPpgPnzTYtOJ3U01qEz6DD/yHzMPzIfOoON3BRRLVWhZ9N4eXlBLpcXqwVJTU0tVltSJCoqCp06dcJbb70FAGjRogUcHR3RuXNnfPzxx/Dz8yt2jEqlgkqlqkhoRFQGrRZ45RXT+rhxgJ2dpOFYhdagxSu/m25qXKtxsJPbwE0R1VIVqhlRKpVo27YtYmJiLLbHxMSgY8eOJR6Tn58PmczyMvLbjdY14LE4REREVMUq3EwTGRmJpUuXIjo6GgkJCZg6dSqSkpLMzS7Tpk3DmDFjzOUHDhyIjRs3YuHChbh48SIOHjyI1157DY8++ij8/f2tdydERERUI1WomQYARowYgfT0dMyaNQvJyclo1qwZtm7diuDgYABAcnKyxZwj48aNQ05ODr755hu88cYbcHNzwxNPPIFPP/3UendBRERENVaF5xmRAucZIXoweXmAk5NpPTcXcHSUNh5ryNPmwSnKdFO503LhqLSBmyKyMVUyzwgRERGRtTEZISIiIklVuM8IEdU8KhXw22931m2BSqHCbyN/M68TUc3FPiNERERUJdhnhIiIiGoENtMQ1QI6HfDDD6b10aNtYwZWnUGHH/423dTo5qM5AytRDcZmGqJagEN7iUgKbKYhIiKiGoHJCBEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJivOMENUCKhWwbt2ddVugUqiwbtg68zoR1VycZ4SIiIiqBOcZISIiohqBzTREtYBeD/z8s2l98GBAYQM/+XqjHj8nmG5qcOPBUMhs4KaIain+9BLVAhoNMHy4aT031zaSEY1eg+EbTDeVOy0XCqUN3BRRLcVmGiIiIpIUkxEiIiKSFJMRIiIikhSTESIiIpIUkxEiIiKSFJMRIiIikhTHwhHVAkolsHz5nXVboJQrsfyp5eZ1Iqq5OB08ERERVQlOB09EREQ1AptpiGoBvR7Yvt203ru3bczAqjfqsf286aZ61+/N6eCJajD+9BLVAhoNMGCAad2WpoMfsMZ0U5wOnqhmYzMNERERSYrJCBEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJimPhiGoBpRL45ps767ZAKVfim77fmNeJqObidPBERERUJTgdPBEREdUIbKYhqgUMBmD/ftN6586AXC5tPNZgMBqwP8l0U52DOkMus4GbIqqlKlUzsmDBAoSGhkKtVqNt27bYX/RbrhQajQbTp09HcHAwVCoV6tWrh+jo6EoFTEQVV1gIdOtmWgoLpY7GOgr1hei2shu6reyGQr2N3BRRLVXhmpG1a9diypQpWLBgATp16oRvv/0Wffv2RXx8PIKCgko8Zvjw4bhx4waWLVuG+vXrIzU1FXq9/oGDJyIiopqvwh1Y27dvjzZt2mDhwoXmbY0bN8agQYMQFRVVrPy2bdvwzDPP4OLFi/Dw8CjXNTQaDTQajfl1dnY2AgMD2YGVqJLy8gAnJ9N6bi7g6ChtPNaQp82DU5TppnKn5cJRaQM3RWRjqqQDq1arRWxsLHr16mWxvVevXjh06FCJx/zyyy8IDw/HnDlzEBAQgIYNG+LNN99EQUFBqdeJioqCq6ureQkMDKxImERERFSDVKiZJi0tDQaDAT4+PhbbfXx8kJKSUuIxFy9exIEDB6BWq/Hzzz8jLS0NkydPRkZGRqn9RqZNm4bIyEjz66KaESIiIrI9lRpNIwiCxWtRFIttK2I0GiEIAn744Qe4uroCAObNm4dhw4Zh/vz5sLe3L3aMSqWCSqWqTGhERERUw1SomcbLywtyubxYLUhqamqx2pIifn5+CAgIMCcigKmPiSiKuHr1aiVCJiIiIltSoZoRpVKJtm3bIiYmBoMHDzZvj4mJwVNPPVXiMZ06dcL69euRm5sLp9s96M6ePQuZTIZHHnnkAUInovKyswPmzLmzbgvs5HaY02OOeZ2Iaq4Kj6ZZu3YtnnvuOSxatAgdOnTA4sWLsWTJEpw+fRrBwcGYNm0arl27hu+++w4AkJubi8aNG+Oxxx7DRx99hLS0NDz//PPo2rUrlixZUq5rcjp4IiKimqe8398V7jMyYsQIpKenY9asWUhOTkazZs2wdetWBAcHAwCSk5ORlJRkLu/k5ISYmBi8+uqrCA8Ph6enJ4YPH46PP/64ErdFREREtoYPyiOqBQwG4Phx03qbNrYzHfzxZNNNtfFrw+ngiR5CVVYzQkQ1T2Eh8OijpnVbmfSsUF+IR5eaboqTnhHVbHxqLxEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJiskIERERSYpDe4lqATs7YMaMO+u2wE5uhxldZ5jXiajm4qRnRDZCFIHft4lYusKIs2cAVzegd0/g1clyuLtLHR0R1Uac9IyoFsnOBkaMNmDbb3IAd2YiPbQXmPe5EdHRwJBBbJUloocTkxGiGi4nB+jU1YB/4uRQ2Ino9Uw+WnTQIP2GHL//4ICr5+0wdDAw/QMjRo6QoXFjQGYDeYlRNCLhZgIAoHGdxpAJNnBTRLUUm2mIajCjEejRx4DdMXK4uBswfXEm6jfXmffrtED0bBfs+PHOVOm2Mh18njYPTlFOADgdPNHDqrzf3/xTgqgGm/O5Ebtj5FDZG4slIgBgpwT+MyMbPUfkmbf9/fdD//cHEdUyTEaIaqgzZ0R8+L4AABj3Tk6xRKSIIADPvZFjfj1mghFabbWESERULkxGiGqo198wQqcV0LKTBj1H5JdZVn5X77BzCXK8P9NYxdEREZUfkxEiCRy6cgitl7ZGk2+bYNOZTRU+fucuEdu3yCGTi5jwXjYEoWLHz5sr4MwZNtcQ0cOByQhRNUvKSkLPVT0Rdy0OCSkJGLp2KHYm7qzQOaa9b6rZ6DUiH4/U01fo2FaPF8KgF/DqVNaOENHDgckIUTWL3BmJfG0+Ar0D0bxucxhFIyb8OgE6Q8l9Pu61/4CIo4dNw3iHvphb4euPisyGXCEi5nc5tu9g7QgRSY/JCFE1Ss1Lxeb4zQCAoRFDMbrnaDjZOyEpMwnLTy4v1zlm/Z+pRiNiUAE8fMpXuyFXiHhyQi6enJCLoPoG9Bll6mPy1rtGPPyD+0tmJ7fDmx3exJsd3uR08EQ1HJMRomr0wz8/QG/QI8gnCCG+IVCr1OjWphsA4H9H/of7Tfvz77/AH9vkEAQRT00of62InRIY+3YOxr6dAzslMHRSLlT2Rvx9Qo7fttTMbEQpV2Jur7mY22sulHKl1OEQ0QNgMkJUjX468xMAoFX9VuZt7Zu0h0KuwL83/sWRa0fKPP6rBQYAQNsIDfxDDZWOw9XDaK4deX9Gza0dISLbwGSEqJrkaHLwV9JfAICmoU3N253sndCyfksAwNJTS0s9vrAQWL3KNGym132G8t7LaARSr8qRelUO4+2Wnacm5EFlb8Sp4zWzdsQoGnHp1iVcunUJRpGdcYlqMiYjRNXkYNJB6A16eLh4wNvd22Jf6watAQCbEjaV+sW6dr0RWZkyePnr0aqzpkLX1hYKeKmHN17q4Q1toSmhcfU0ovczpqTm/z6peV/mBboChH4ZitAvQ1GgK5A6HCJ6AExGiKrJzium4bt1/etCuGdikLCgMKiVaqTlpuFg0sESj1+wyFR70WNYAeTyEotU2ICxeZArRPx1UI5jx2pe7QgR2QYmI0TV5MCVAwCAUL/QYvsUCgWa120OAFgVv6rY/sRE4MghU8fVJ4ZWrImmLJ6+RnTqWwgAiPqs5tWOEJFtYDJCVA0MRgNOXjsJoORkBACa1W0GANh2bluxfd/9YOqs2uwxLTzLOZy3vAaMNY3K2fyTDFevWvXURETlwmSEqBrE34xHga4AKjsVfD18SyzTKLARZDIZkjKTcD7jvMW+1WtM/3+8v/X7RtRrpkfTdhoY9AI++6LyI3SIiCqLyQhRNThx4wQAIKBOAGSykn/s1Co16vnXAwBsOrvJvP3vv0WcjTfNuPpYz8IqiW/AuDwAwIpoAYVVcwkiolIxGSGqBkdSTPOH+Hv6l1muSUgTAJbJyMpVpmaZ1l00cHKtmk6mbSM08PLXIytThjVr2XeEiKoXkxGiahB3Iw4A4OflV2a5xiGNAQBHko4gT5sHUQTWrjONvOn8AE00coWIPqPy0GeUafRMsf1yoOdw0/m/WVAzRtUoZApMDp+MyeGToZAppA6HiB4Af4KJqsGZ1DMAAH+vsmtGfNx94OHigYzsDOxK3AX/3AG4ekkGlb0R4d0q335ipwRe+DC7zDLdh+Zj3TdOOH5EjpMnRbRsKZRZXmoqhQrz+8+XOgwisgLWjBBVsfT8dKTlpgEA/DzLrhkRBAFhwWEAgM3nN2PdT7ebaDproLKv2jjd6xjxaA9TwvPlfDbVEFH1YTJCVMX+Tv0bAODp4gm1Un3f8o2DTE01Oy7swCbTA37xaI+Kzbh6L1EEsjJkyMqQlfkcmqIZWdeuliEn54EuWeVEUcTNvJu4mXfzvg8YJKKHG5MRoip2KvUUAMDXs+Qhvfdq8EgDyGQyXMm8grPJlyCTi2jb9cGGuGgKBEzo6IMJHX2gKSi9+aVZey38Q/TIzxPw3aqHu3YkX5cP78+84f2ZN/J11psIjoiqH5MRoioWnxEPAPBy9SpXebVKfWditPrb0fRRbZWNormXIAA9bz+Eb/FS1jYQUfVgMkJUxc5mnAVQ/mQEABoHm5pqUG87Hn2ieif+6PpUAeQKEaeOy3HqFBMSIqp6TEaIqtjlzMsAAC+38icjgc4tTSt1d6J1t7JHwVibq8edkTuLlj7cTTVEZBuYjBBVIVEUcfWW6YEvFakZyTjSGcj1AZR5SLP7q6rCK9UTQ0xzjqz5QYBWW+2XJ6JaplLJyIIFCxAaGgq1Wo22bdti//795Tru4MGDUCgUaNWqVWUuS1TjJOcmQ6vXQibI4OHsUe7jTm+vD5zvDQA4kfJHVYVXqtadNXCrY8CtDBl+/ZVNNURUtSqcjKxduxZTpkzB9OnTceLECXTu3Bl9+/ZFUlJSmcdlZWVhzJgx6N69e6WDJappzqWfAwC4O7tDLpeX6xi9VoZz+wKBC0XJyK4qi680cgUQMchUO7KQTTVEVMUqnIzMmzcPEydOxPPPP4/GjRvjiy++QGBgIBYuXFjmcS+++CJGjRqFDh06VDpYoprmn/R/AFSsiebin/7Q5CrhmNURAgQkZZ5DRkHKA8UhV4iIGJSPiEH5JU4HX5InBptG1ezeIcP16w90+SqhkCkwtuVYjG05ltPBE9VwFUpGtFotYmNj0atXL4vtvXr1wqFDh0o9bvny5bhw4QJmzJhRrutoNBpkZ2dbLEQ10b8Z/wKoWOfVf3cGAwCadMxHoE8gACAuec8DxWGnBF79JAuvfpIFO2X5jgmoa0Cj1loYjQKWrTA80PWrgkqhwopBK7Bi0AqoFCqpwyGiB1ChZCQtLQ0GgwE+Pj4W2318fJCSUvJfbufOncO7776LH374AQpF+f56iYqKgqurq3kJDAysSJhED43zmecBVKxmJOGPEABA4+6XERZkmhr+xI3q7zcCAE8MNdWOLF+OMmduJSJ6EJXqwCoIljM4iqJYbBsAGAwGjBo1Ch999BEaNmxY7vNPmzYNWVlZ5uXKlSuVCZNIcomZiQAAT1fPcpXPvOqE5AQvCDIjGnVLMj+n5mTKARiMla+dEEWgMF9AYb5QoaSiU59CqOyNSDwvx8GDD1c2Iooi8rR5t59u/HDFRkQVU6FkxMvLC3K5vFgtSGpqarHaEgDIycnBsWPH8Morr0ChUEChUGDWrFk4efIkFAoFdu0quWOeSqWCi4uLxUJUE13LvAYAqONWp1zl/91laqIJanMDjh6FCPYNhlqpRp4mGxcyT1Y6Dk2BgNFtfDG6jW+Z08Hfy95JRIfepjlHvl32cHVkzdflwynKCU5RTpwOnqiGq1AyolQq0bZtW8TExFhsj4mJQceOHYuVd3Fxwd9//424uDjzMmnSJDRq1AhxcXFo3779g0VP9BDLKMhAriYXgOkheeVhbqLpcQkAIJfJ0SiwEQAgLnm31WMsj6I5R37eIENeniQhEJGNq3AzTWRkJJYuXYro6GgkJCRg6tSpSEpKwqRJkwCYmljGjBljOrlMhmbNmlks3t7eUKvVaNasGRwdHa17N0QPkfPppv4iLo4uUJaj16hBJ8PZvab+UY27XzZvL2qqOX4jpsTjqlrjcC18AvXIyxWwfgObQ4jI+iqcjIwYMQJffPEFZs2ahVatWmHfvn3YunUrgoNN1cvJycn3nXOEqDY4nXEaQPk7r1466ovCHBUcPfMR2PqGeXtRMnI+7R/kaDKtH+h9yGR35hxZ/JA11RCRbahUB9bJkyfj0qVL0Gg0iI2NRZcuXcz7VqxYgT179pR67MyZMxEXF1eZyxLVKPHpFXtab/ztJpqwJ5Igu+sn093ZHb4evhBFI07dKN9sx9YWMagAgiDi8H45Ll2SJAQismF8Ng1RFTEP6y3nHCN3hvReKravqHZEiqnhAcA7wIBmj5keUrM0mrUjRGRdTEaIqkjRsN7y1IxkJTvi+j91IAgiwp4o3sxpnm8kZY9kw1ifGGIasbJiJWBkPkJEVsQ5lImqyJVM0/w45UlGiob0Bra+ASevgmL76wXUg53CDrfy05CU9S+C3RpXKBaZXESH3gXm9cpo36MQDk5GXEuSYe9eEd26lX+IcFWQy+QY1mSYeZ2Iai4mI0RVIE+bh4y8DADlS0YS/jAlI2FPXC5xv53CDvUD6iPhcgJOpOyscDKiVAFvfnmrQsfcS2UPdOxbiD/WO+DbZUZ06yZtAqBWqLH+6fWSxkBE1sFmGqIqcDHzIgDAQeUAB7VDmWUNegFn9gQBuDO/SEnMQ3xTpBniC9xpqtm8UYacHMnCICIbw2SEqAoUPSCvPNPAXz7mi4IsNRzcChHc9kap5YqSkTOpJ1Cgk2b2sYatdPAP1aOwQMDatZxzhIisg8kIURVIyEgAUL6RNAk7QwAAjbpdLrM/h7ebNzxcPKA36nHqxr4KxVOYL2BomB+GhvmhML/yfT0EAeg22FQ7skTiUTV52jwIHwkQPhKQp+XUsEQ1GZMRoipwJv0MgIr1F2nco+T+IkUEQUCz0GYAgEPXf37ACCsv4qkCyGQijhyW49w5ycIgIhvCZISoClzIvADg/slITqoDrp40PWSytM6rd2tZvyUAIPbKLugMmgeMsnI8fIxo+bjp2suWc4wvET04JiNEVSAp0zRXyP2SkYRdpo6rj7RIhYvP/Z88G+ofChdHFxTo8hGXsvfBA62kboNNw4RXrgQMBsnCICIbwWSEyMp0Bh1uZJs6ot43GbnnKb33IxNkaFnPVDty6NrGSsf4oNo9UQgnVyNSrsuwc6dkYRCRjWAyQmRll7MuwygaYaewg4ujS6nljAYBZ3abakbCut+/iaZIqwatAADHru6EzqB9oFgrS6kCHu9vqh35dimbaojowTAZIbKyc+mmXp1erl4QhNJHriQd90F+pj3ULhqEtEsu9/lD/ULh4uCCfG0eTt2Qvqnmt18E3LolWRhEZAOYjBBZWdGw3vvNMZKw0zSKplHXJMgV5Z+zQyaToUX9FgCAPUk/lu8YuYg2XQvRpmthpaeDv1e9ZjoENdBBqxGwek31zzkil8nRr0E/9GvQj9PBE9VwTEaIrKxowrM6rnXKLHenv0j5m2iKhIeFAwCOXtmJfN39p0JVqoDp32Zi+reZUKoqfLkSCQLQbYipdmTJsupPRtQKNbaM2oIto7ZArVBX+/WJyHqYjBBZ2fmM8wDKrhnJTVfjyonbQ3q7X6rwNYJ9guHt7g2dQYuDSZsrFac1dBlYAJlcRFysDPHxkoVBRDUckxEiK7uUeQlA2SNpzuwOhigK8GuSBjf/is8eKggCHm38KABg9+XVlYrTGty8jGjb1TTnyFKJZ2QlopqLyQiRFRlFI67eugqg7Kngi/qLlHdIb0nCG4VDgIAzqXFIyS27qacwX8Co1j4Y1drngaaDL0m32w/PW/U9oNdb9dRlytPmwXG2IxxnO3I6eKIajskIkRVdz7kOnUEHmUwGd2f3EssYjcC/RclIBYb03svN2Q0NAxsCAHZdWnXf8poCGTQF1v+Rb9tVAxcPA26myrBtW/X2HcnX5SNfd//J4ojo4cZkhMiKLmSYpoH3cPYodYTHtVPeyE1zgMpJi9D21x/oeu2btgcA7Lz4I/RG3QOdq7IUdqa+IwCwWIKOrERU8zEZIbKiMxmmB+SV1Xm16MF4DbpcgUL5YP0sWtRrAWcHZ9zKT8eRa78/0LkeRNGomt+3CEhLkywMIqqhmIwQWdHp9NMAgDpupQ/rTdgZAuDB+osUUcgV6NC0AwBg64XFD3y+ygpppEfdJjrodQJW/cCOrERUMUxGiKzoXMad2VdLkn9LhUtHfQE8WH+Ru3Vo1gGCICAh5TiSss5Y5ZyV0W2wqe/G0mjJQiCiGorJCJEVXcy4CKD0mpGzewIhGmXwaZgOj8D7T1ZWHu7O7mhetzkAYMuFRVY5Z2V0HlAAhZ2I06dkOHlSsjCIqAZiMkJkJaIoIikzCUDpw3rjH2DW1bJ0btEZALD3ws/IKkwvtl+QiWjaToOm7TQQZFXTydTZXUS7JwoBAAsXG6rkGneTCTJ0De6KrsFdIRP4q4yoJuNPMJGVpOalokBXAEEQ4OlcvAOraUhvCADrNdEUqf9IfQT5BEFn0OK3cwuL7VepgVnfZ2DW9xlQVeHM6d2HmTqyrv5BQH4Vj7i1t7PHnnF7sGfcHtjb2VftxYioSjEZIbKSov4i7s7uUCgUxfZfjfNB9g1HqJy0qNfxmlWvLQgCurftDgDYdm5luZ5XUxVadtLA+xE9crJkWL2GHVmJqHyYjBBZydn0swBK77z6z7ZQAEBYt8tQqKzfjNG8XnN4u3sjX5uH7ReXW/385SGTAb1GmKpEvl7AOUeIqHyYjBBZSXy66UlxpXVePb3dlIw07ZNYJdeXCTJz7cgv/36LQv2ddpLCfAHjO3hjfAdvq08Hf68nhpo6sp46LkdsbNVdJ0+bhzpz66DO3DqcDp6ohmMyQmQlRROelVQzknnVCdf+9oYgiGjS81KVxRDeKByeLp7ILsjEr/f0HcnOlCM7s+RZYa3J1cOIDr1NHVm/+KZqO7Km5achLZ+zrBHVdExGiKzkQqZpKviSakZO7zDVioS0S4aTV0GVxSCXy9GvQz8AwOaERcjRZFbZtcrSe6SppmL9jzLcuiVJCERUgzAZIbICURSRlHF7WG8JNSOnt9UFUHVNNHdr3bA1/L38UaDNw09n/lfl1ytJWBsdghrooCkUEL2CHVmJqGxMRoisIC0/DXnaPAgQij2XRpOnwLn9jwAAmva+WOWxyAQZ+nfoDwDYdmYlUnOvVPk17yUIQO+Rpj4rCxYCIvuyElEZmIwQWcH5jPMAADdnN9gp7Cz2ndkTBL1GAc/gLPiGZVRLPE1CmqDBIw2gM+iw7OS71XLNe3V5sgBqByMunJVh925mI0RUOiYjRFYQn2YaSVNSE80/v99uoul9EULVDmQxEwQBQ7oOgUwmw7EruxGXsrt6LnwXBycRXZ409Y+ZM49NNURUOiYjRFZw8qbpYSw+Hj4W240GAfExVTuktzR+nn7o0rILAGDlqQ9Rt6kG9Zppq2w6+JL0f87UVLNjqwznz1v33DJBhnD/cIT7h3M6eKIajj/BRFZQVDPi426ZjFz80x+5Nx3g4FaI+p2sO+tqefR5tA9cHFyQWngeLWdOxZwN6VU6Hfy9HqmnR+vOhRBFAZ/9z7rDfO3t7HH0haM4+sJRTgdPVMMxGSGygrNpptlX760ZOflrfQBAs74XIber/qYKtUqNoRFDAQCb47/FufQT1R7DwHGmYb7freAwXyIqWaWSkQULFiA0NBRqtRpt27bF/v37Sy27ceNG9OzZE3Xq1IGLiws6dOiA7du3VzpgooeNRq/BtVumWo+7a0aMRuDU7WSk5ZNWbqOogJb1W6JNwzYwikZ8dfRlaA2F1Xr9Fh21CGqgQ0G+gEWL2XeEiIqrcDKydu1aTJkyBdOnT8eJEyfQuXNn9O3bF0lJSSWW37dvH3r27ImtW7ciNjYW3bp1w8CBA3HiRPX/hUZUFc5lnINRNEKtVMPF0cW8/fIxX2QlO0HlpEGjiJJ/PqrLwEdHQPjyEq7P2I0Vx6Kq9dqCAPQfa6od+eprQK+3znnzdfkI+SIEIV+EIF9XxY8IJqIqVeFkZN68eZg4cSKef/55NG7cGF988QUCAwOxcGHxx5YDwBdffIG3334b7dq1Q4MGDTB79mw0aNAAv/766wMHT/QwSLiZAMBUKyLcNVymqFakae9LVfJgvIpwUDlCzAwGskKw/cwP+Ovqlmq9fpeBBXDxMCD5qgwbNlinA60oiricdRmXsy5D5EQmRDVahZIRrVaL2NhY9OrVy2J7r169cOjQoXKdw2g0IicnBx4eHqWW0Wg0yM7OtliIHlZFI2m8PbzN20TxTn+RlgOla6IpzddHpiAl93K1XU+pAno/Y6q9+OQzIydBIyILFUpG0tLSYDAY4ONj2UnPx8cHKSkp5TrH559/jry8PAwfPrzUMlFRUXB1dTUvgYGBFQmTqFr9ffNvAJb9Ra6eqoOMJFcoHXRo3OOSRJGVLMgnGAXaPMw5PBYaffU1b/QZlQ+lSsTJWDl27mQ2QkR3VKoDq3DPzE2iKBbbVpI1a9Zg5syZWLt2Lby9vUstN23aNGRlZZmXK1eqfzprovI6k2Z6Wq+vh695W9zmBgCAxt0vQelgpU4SVjK612g4qh1xOf0s/vfXizCK1dOp1M3LiO7DTMnPzI/ZkZWI7qhQMuLl5QW5XF6sFiQ1NbVYbcm91q5di4kTJ2LdunXo0aNHmWVVKhVcXFwsFqKHkd6oR2KGaTKzomG9RiNwfEMjAEDrwWcli600bk5umDhgIuQyOY5e2YlVf39Ubdd+amIu5AoRB/fKcfgwa0eIyKRCyYhSqUTbtm0RExNjsT0mJgYdO3Ys9bg1a9Zg3LhxWL16Nfr371+5SIkeQufSz0Gr10JppzQ/IC/xL39kXnWBykmDJr2rd9bV8qrrXxcje4wEAGyOX4Lfzy+tluvW8Tei6+0p4lk7QkRFKtxMExkZiaVLlyI6OhoJCQmYOnUqkpKSMGnSJACmJpYxY8aYy69ZswZjxozB559/jsceewwpKSlISUlBVlaW9e6CSCJxN+IAmKZeL5qSPHZ9GACg5cALUNpLO4qmiCAAvo3S4dso3fx8nPCwcPR+tDcAYOmxD7H70o/VEsug53MhCCJ2bJXj5MnK144IgoAmdZqgSZ0m5WomJqKHl6KiB4wYMQLp6emYNWsWkpOT0axZM2zduhXBwcEAgOTkZIs5R7799lvo9Xq8/PLLePnll83bx44dixUrVjz4HRBJ6GjyUQCAv5c/AECvlSFus2kUTdthZySL615KBz3ePbyq2PY+7fugQFOAfSf3Yf5fb0ApV6NT4KAqjSWgrgGP9S7E4W32mPmxET+vl1fqPA52Djg9+bSVoyMiKQhiDRign52dDVdXV2RlZbH/CD1UIlZFYO+FvRgWMQyPt3gc/2wLxdJRT8LFJw8z/1kGmfyh//GCUTRi3c51+DP+T8gEGV55bB66Bpc+2s0aEhMUeHNwHQiCiJMngebNWbNBZIvK+/3NZ9MQPYCEVNOEZ0U1I7Hr73RcrQmJCGB6+u3wJ4YjPCzcNGX84SnYcm5xlV4ztLEe7XsWQBQFvDudfUeIajsmI0SVlFGQgdScVACAv6c/8rOU+Of3egCAtk//K2VoxWjzFfikw7P4pMOz0OYXb52VyWQY1XMUOrfsDACIjp2J1f/MrtKZTUe+buo7svVXOY4erfh18nX5aLqgKZouaMrp4IlqOCYjRJV06sYpAICniyfUKjWObwiDrlABv8ZpCGyVKnF0lkQRSDnjiZQznqXOfioTZBjSZQj6tO8DAPjpn2/w2Z8TqmxitMD6enS5PbLm7fcqXjsiiiLib8Yj/mY8p4MnquGYjBBV0uFrhwEAAXUCAAB/ft8UAPDYc6dRUwd3CIKAPu37YMQTIyCXyfHn5e14b3d/pOVdq5LrDX/FNO/Inj/k2LuXCQVRbcVkhKiSDl47CAAI8gnClZN1cPWUN+RKPcKHP1xNNJXRoVkHTB48GY5qR1xKP4M3Yrrj2PUdVr+Ob6DBPCtr5Nt8Zg1RbcVkhKiSTlw/AcCUjPz5fTMAQIsBF+DoUShlWFZTL6AeIp+JxCN1HkFuYTai9o3D0rhp0Bk0Vr3O0y/lQmVvxPEjcqz5kdkIUW3EZISoEm7m3cT1rOsAAB/nUPMomg7P2da8F54unpjy9BR0adUFAPD7vyvx9h89cSHzb6tdw8PHiMEv5AEA3nxbREGB1U5NRDUEkxGiSjhy7QgAwNvdGwm/tkJhjgqewVmo39n2HuqoUCgwpMsQPD/geTiqHZGUeR7v7uiL707NhNZgnVqgJ8fnwsvPgOSrMnz6GYf6EtU2TEaIKmH/1f0AgCCfYOz9thUAoNOEU5A9pD9RggC4B2bDPTC70p1rm9VthneffRetGrSCUTRic/xiTN3eBceTdz5wfCp74Nk3sgEAcz4RcP36/Y8RBAHBrsEIdg3mdPBENRxnYCWqhC7fd8H+i/vROWAi9r+wFEoHHWb+swwObtbtT/GwOnXhFDbs3oDsfFMC0SrgcUxoORsBLvUrfU5RBN57xhNnTyoxdLgBG9ZWbpp4Inp4cAZWoiqiN+oRezUWAHB925MAgEdHxteaRAQAWtRrgXefexcRrSMgk8kQd+0ApmzrhiUn3kFmQeXmWBEEYOL72ZDJRPy0To7tOx76v5OIyEqYjBBVUFxKHPK1+VAp7HHh534AgM7/iZM2KAk4qBwwqPMgvDP6HTQJaQKj0YBtZ77HS789iuUn30dWYXqFz1m/uQ59RpuG+r7wooh8TqxKVCswGSGqoJ2XTH0kHHLaAUYFwrpfgk+DW9IGdR/aAjk+7/4MPu/+DLQF1m3+8HH3wX+e/A9eGvQSgn2CoTNo8VtCNF76rR2Wn3y/whOmjXo9B56+Bly5JMOHM0vvzFqgK0C7Je3Qbkk7FOg4BIeoJmMyQlRBMZdiAABZh/oDALq/fkzKcMpFNAq4csIHV074QDRWTWfPRkGNMGX4FPznyf8g0DsQGn2hKSnZ8hjm/fVCuYcD2zuJeP6DLADAF/8TcOJEyc01RtGIY9eP4dj1YzCKHIFDVJMVf2IWEZXKKBpx5IppWK/xYgRC219H/U5VM1V6TSQIApqENEHj4MaIvxSP3cd34/y18ziYuAUHE7cgzKc1eoeOx2OBA6CUq0s9z6PdNWjfswB/xdjjmdFGnDwuQF16cSKq4VgzQlQBx64fQ05hDqBxAZLboNcbR2rsc2iqkiAIaBraFK8MfQVvPPMG2jZqC5kgw783TuDLP1/D87+0xNK4abiSdbbUc7w4MxuungacTZDhrXdZ80Fky5iMEFXAprObTCvneyGwRTrCul+WNJ6aINA7EM/1fg4fjvsQfdr3gZuTG/I0Ofj935WY8nsE3vzjCWw+swAZBSkWx7l6GjH5Y1NzzTdfyvDHTo6uIbJVTEaIKmDj6d9MK+f7ovfbf7FWpALcnN3Qp30ffDjuQ/znyf+ged3mkAkyJKb9i+9OfIz/bG6L9/cMwPYLK5GtMY3ECe+mQc/hpqninx0j4uZNKe+AiKoK+4wQlVNqXirOpP0DCECQa0s07X1A6pBqJJlMhiYhTdAkpAly8nMQdy4Ox88eR2JyIhJSjiMh5TiWHHsPDeo0x6P+/dDz5f44feQxXL+kwLARBuyKkUPO+dCIbAqTEaJyWrjrV0AQgeTWGDLtfI2rFXH0fPgm7XB2cEbnlp3RuWVnZGRn4PjZ44g7F4erN6/ibOopnE09BeATeE4KgnzfMOz7tw/e/qAjPp/tCADwcvCS9gaIyCo4HTxROYgi4P56b2R57oDP9Vcx7ZN6Uodk0zJzMvHPxX/wT+I/OH/1PAxGw52dehUauoRjVPue6FevH9r4tYFcxqoSoodReb+/mYwQlcPC79Iw+bwfINfjpW6z0ai5g9Qh1RqFmkL8m/QvTl86jZN/X4ZWYTndvLPaGeGPhKNbUDd0C+6GcP9wqBUcB0z0MGAyQmQlt24Bjzy1GHlPvAhnY338d8orUodUa+m1AuZPaIbEmwlQNNkGeYOd0OgtZ1+1k9uhqW9TPB70OLoHdcejAY/C39lfooiJajcmI0RWMm6iESuNTwAhe9H30YHo/Vh3qUOqMG2BHN8OHwQAeHHdJijtDWUf8BArzFbiy35PI/msI+z+0x1eja6ibVhLJKUm4eL1i8gtyC12jKejJ1r6tUR7//bo6N8R4QHh8HXylSB6otqlvN/f7MBKVIZNm0Ws/OUs8MpeCBDQvmlbqUOqFNEo4MLBR8zrNZnaRYsX127GvH79ke19GMmZQNvgN9CjHSCKItKy0pCYnIiL1y/iUvIl3Mi8gfS8dOw6vwu7zu8yn6eOUx00822Glt4tEe4bjhbeLdDIqxGUcqWEd0dUOzEZISpFaiow8XkRaPstAKBpaFO4ObtJGxQBANwCcvHCml/x+R+m10ufHYiX12+Hg6sWddzqoI5bHTza+FEAgEanwbWb13Al9QqupF7B1dSruJFxAzdzb2L3+d3YfX63+bxymRwhHiFo4t0Erbxboa1PWzSu0xihbqGwk9tJcatEtQKTEaIS6PXA0yMNyMgugNBmBUQAHZt3lDosuot3g0zgdjJy7aQPFjw1FC+u2wxnb8shzCo7Fer610Vd/7rmbRqtBtfSruHazWtITk82L4XaQlxIu4ALaRfwa/yv5vJymRwBrgGo51kPYZ5haObVDE28mqChZ0P4OflBqGnjvIkeMkxGiErw9rtG7Nslh7zrQhhUt1DHrQ7CgsKkDotK4eiZj6unvPFFn6cxacMm1KmbVWZ5lbJ4giKKIm7l3kJyejKup11HSnoKktOTkXorFTq9DkmZSUjKTLKoSQEAezt7BLoHItgtGPXc66GReyM0cG+AUPdQhLiFwMGOI6+I7ofJCNE9Vn5vxP8+lwGKAii7f4oCI9AjvAdkMj494WE1+eefEf3MCKRfcsOXfYdj/IotqNfheoXOIQgC3J3d4e7sjiYhTczbjaIR2bnZSL2VitTMVNy8dRM3b91EamYqMrIzUKArwNnUszibehYxiCl2Xg8HDzzi9giC3YJR370+6rvVR4hrCB5xeQSPuDwCd7U7a1ao1mMyQnSXLVtFTJxg+mJo/OqnSDCmw8PFA+GNwiWOjMriVfcWXt+2DotHPIWrp7wx/6kheOq/+9HlPycfeKZcmSCDm7Mb3Jzd0DCwocU+vUGP9Kx0pGWlIT07HelZ6cjIzkBGdgbSs9NRqC1ERn4GMvIzcOr6qRLPr1Ko4O3sDX9nfwS4BCDYJRghriHmhMXf2R91HOpwYjeyaUxGiG7bu0/E0KGAQS+g3aALOOX5KaAH+rbvC7kNPAxF6aCTOgSrUyrujHxx8cnHq1vWY+2UHjj+UyP8PC0Cl474Ydhnu+HorqmS6yvkCvh4+MDHw6fE/fmF+UjPTjcnJxlZGcjMzURWbhZu5d5CbkEuNHoNrmRewZXMK6VeRybI4GbvBk9HT3g7ecPXyRf+Tv4IcArAI06PwM/ZDz6OPvB18oWHvQdrWqjG4TwjRAB+2yJi2DBAUyigVecC2I19CkevxiDENwSvP/06f7nXIKII7Pu2FTZ/0BlGgwyufrl45ss/0LjHZalDK0an1yErL8ucnBQt5tc5t5CTnwMR5f81rZAp4O7gDg9HD3jae8LLwQt1HOrAx8EHvo6+8HH0gZeDl3nxtPeESqGqwruk2oyTnhGVU/QKI/7zggCDXkDrLoVo9+YCLD7+BmQyGaYOn4pA70CpQ6RKuBzrgx8m90LqOQ8AQPjwBAyccRCufnkSR1YxBqMBeQV5yM7PRk5eDnIKcpCdl42c/Bxk52cjNz/X/DpfU7mHITooHeBm72ZKYuw94OngCU+1JzzsPeCl9oKXvSlpcVO7wd3eHe5qd7jbu8PRzpGJOpWJyQjRfWi1wKtTjFi80NQx9fH+Bej3zn58tO8paPSF6N+hP3q26ylxlPQgtPkK/Pbfjti/uBVEUYDKSYuebxxBlxdOQumglzo8q9Pr9cgpyEFOfg5yC3KRV5CHvMI85BXkIbfw9uvb23ILcpFfmA+jaKz09eQyOZxUTnBRu8BF7WJKVtTucFO7mZIatacpcVG5w1XlCheVC5xVznBRuZgXlVzFhMaGMRkhKsOpUyKeG2fEqROmviDDX85BxLh/MX13P2Tmp6FhYENMemqSzYyg0RXKsXxsfwDA+JVbYKeuudPBF9HpdVi+dTkAYHy/8bBTlD4pWdIJb/z0TgQuH/MDADh75+GJV2PRafzfNpmUlJdRNKJQU2hOTu5OXgo0BcjX5CNfk48CTQEKCgvM6/mafBiNlU9i7qaQKeCocoSj0rQ4q5wtEhZXlStcla6mREflDmelM5yUTnBSOsHRznTM3etMbh4unA6eqAQ5OcD/fWLE53MF6HVyOLoY8dqnt+DX9jTe3zMUmflp8PXwxbh+42wmEQEAo0FAfEyoed0WGEUj4i/Fm9fLEtQ6Fa9vW4fY9WH4PeoxZCS5YvMHXfDHF+F47Nl4dBz3NzyDs6sj7IeKTJDBQe0AB7UD6rjVKfdxoihCq9daJChFSUqBpgD5hXe2aXQaFGoLzYtGa3qt0Zk6FeuNemQVZCGroOy5YSpyT/Z29lDbqeGgdICDnYP5/0VJS1Ey42xnSmxcVa5wtnOGo50j7O3sYa+wN//fwc6h2DaObLI+JiNUKxQUAIuXGjFrFpCRZkoy2j1RiBdnZuGs9je888drKNDmw9vdG5OemgQHFSeqsjUyGdBuxL9oM+Qsjv7YGDHz2iH9sit2fhmOXV+1RVj3y2gz9Aya9b0Iexet1OE+1ARBgMpOBZWdqtKPSDCKRmi1WstE5Z7E5e7kpWjR6rTQ6rXQaDXQ6rXQ6rTQ6DTQG/Tm8+Zp85CnzUN6XroV7/oOhUwBlUIFlUIFtZ0aaoX6zv8VaovkxcHOAQ4KB/P/He0c4WjnaContzcfo1KooJKrzP+/d5taoYZKrrLZRIjJCNm0xERgwbdGLF0C3MowJSG+wXo8OzUHDbtcwvJTH+DgpS0AgGDfYDw/4Hk4OzhLGTJVMbmdEY89dxrtRsbj9PZQHIxugTO7g5HwRwgS/giBXKlH2BNJaNLzEhpFJMEr1Dp/sZMlmSCDWqWGWqW2yvkMRgN0Oh00OlOSotFpzInK3f83r+uLb9PpdZaL4c56UbIDmGpz9Fo98rTV3xlaJsigVCihlCthJ7czr6sUKijld9bVCjWUcqU5iSnappabtqvkKvOiVqihlCnvrMuVsJPZmc9XtNjJLbeVVKayyVKlkpEFCxZg7ty5SE5ORtOmTfHFF1+gc+fOpZbfu3cvIiMjcfr0afj7++Ptt9/GpEmTKhUwUVlEETh9GtjyuxFr1oo4GSsHYEpCvAP0eGpiHsJ6x2HrpQX4cssm6AxaCBAQ0ToCAzoOsIn5RKh85AoRLfpfRIv+F3HzghtiNzTCiZ8b4MZZT5zeVhent5mmivcMzkK9jtcQ1OYGglrfgH/TNChUNb/Pja2Ry+SQq+RWS27uZTQaLZKTkhIXrU5bLIm5d9HqtdAb9OalKNEpddHrLYZ2G0UjCnWFKNQVVsl9PigBAhRyBezkdlDIFZBry/c7tcLJyNq1azFlyhQsWLAAnTp1wrfffou+ffsiPj4eQUFBxconJiaiX79+eOGFF7Bq1SocPHgQkydPRp06dTB06NCKXp7ITBSBlBTg5Eng2AkjjhwTcXCfcLsZxpSAyGQiGndKQ+NB+2AI3IWt17diScwl8zlCfEMwNGIoh+/WcnXq3UKfd/5C77f/QkqCJ/7eWhdn9gTh0lE/pF92RfplVxxZY5oiXq7Uw7v+LXjXz4RPgwx4N8iEV2gWXP1y4eKbB7nioR8TQJUgk8mgkpmapqqTKIowGo2WCYxBVyxhKTOhuSfpMRqN0Bv1MBgMMBgNMBgMZb42H2PQm18bjKZ993ZkFiGakjHD7UkWy5kzVXg0Tfv27dGmTRssXLjQvK1x48YYNGgQoqKiipV/55138MsvvyAhIcG8bdKkSTh58iQOHz5crmtyNI3tMxgAjca0FBaa+nhkZgIZGaYlPV3EzXQjkq4Cly8DSVd0uJ6iRZ6mELDLBxzSbi83IXdNhVuD81AFJUDrcB7pBddx98dcLpOjcUhjRLSKQL2AerWi570mT4F3Al8GAHx6ZT5UjjV/BIlGp8E7C98BAHz60qdV8iWhybXDhcMBuHTUF0nHfZB0wgf5mfallhdkRjh758PNPxfOdfLh4F4Ie1cNHNwL4eBm+r/aWQulvR529jrY2euhvL3Y3d6mUBohyMQHnsaeqDoYRSOMhnuSm6KExWBAXnYevm77tXVH02i1WsTGxuLdd9+12N6rVy8cOnSoxGMOHz6MXr16WWzr3bs3li1bBp1OBzu74sPxNBoNNJo70zdnZZnabL2mdIGgvF3lI9yTQ4n3bBMB0eK1UPJxJc5sWPI2sRxl7uuu64v3xlyhc5d8LYutgli8WLmvV3oZsdznKfu8onhXkbuLlnRuwQAoCgHnQqBVIdC69NETBgDpgCkjv52Vu7u4I9gnGA0CG6BxcGNzB1VNTtVME/6w0eTLAZhGixTmFEA01PxmBo1eY/73LcwphFglNRKFqNv+X9Rt/y8A02c286ozUs+7I/W8G25edEPaBTdkXnVG1g1HiAY5slOA7BQHAA/WCVqQGyBXiJApjJDJTYtcIZrWFUYICtGUtNz+4REE01L082NaBwRBNP+/aL/FPpRQhshKjIZcAF/jfvUeFUpG0tLSYDAY4ONj+RwGHx8fpKSklHhMSkpKieX1ej3S0tLg5+dX7JioqCh89NFHxbbrlp+sSLhEZpm3/4tDnNShSOgtAMCMJvcpVgPN+GSG1CFYnWgA9AYAtSNfJhuXk5MDV1fXUvdXqgPrvdXaoiiWWdVdUvmStheZNm0aIiMjza9v3bqF4OBgJCUllXkzti47OxuBgYG4cuVKrW6u4vtgwvfBhO/DHXwvTPg+mDwM74MoisjJyYG/v3+Z5SqUjHh5eUEulxerBUlNTS1W+1HE19e3xPIKhQKenp4lHqNSqaBSFW//dXV1rdUfrCIuLi58H8D3oQjfBxO+D3fwvTDh+2Ai9ftQnkqECk0xqVQq0bZtW8TExFhsj4mJQceOHUs8pkOHDsXK79ixA+Hh4SX2FyEiIqLapcLzXUdGRmLp0qWIjo5GQkICpk6diqSkJPO8IdOmTcOYMWPM5SdNmoTLly8jMjISCQkJiI6OxrJly/Dmm29a7y6IiIioxqpwn5ERI0YgPT0ds2bNQnJyMpo1a4atW7ciODgYAJCcnIykpCRz+dDQUGzduhVTp07F/Pnz4e/vj6+++qpCc4yoVCrMmDGjxKab2oTvgwnfBxO+DyZ8H+7ge2HC98GkJr0PNeKpvURERGS7bOexpERERFQjMRkhIiIiSTEZISIiIkkxGSEiIiJJMRkhIiIiST30yciCBQsQGhoKtVqNtm3bYv/+/VKHVO2ioqLQrl07ODs7w9vbG4MGDcKZM2ekDktSUVFREAQBU6ZMkToUSVy7dg3PPvssPD094eDggFatWiE2NlbqsKqVXq/H+++/j9DQUNjb26Nu3bqYNWtWsUea25p9+/Zh4MCB8Pf3hyAI2LRpk8V+URQxc+ZM+Pv7w97eHhERETh9+rQ0wVahst4HnU6Hd955B82bN4ejoyP8/f0xZswYXL9+XbqAq8j9Pg93e/HFFyEIAr744otqi6+8HupkZO3atZgyZQqmT5+OEydOoHPnzujbt6/FPCa1wd69e/Hyyy/jzz//RExMDPR6PXr16oW8vDypQ5PE0aNHsXjxYrRo0ULqUCSRmZmJTp06wc7ODr///jvi4+Px+eefw83NTerQqtWnn36KRYsW4ZtvvkFCQgLmzJmDuXPn4uuvv5Y6tCqVl5eHli1b4ptvvilx/5w5czBv3jx88803OHr0KHx9fdGzZ0/k5ORUc6RVq6z3IT8/H8ePH8cHH3yA48ePY+PGjTh79iyefPJJCSKtWvf7PBTZtGkT/vrrr/s+I0Yy4kPs0UcfFSdNmmSxLSwsTHz33XcliujhkJqaKgIQ9+7dK3Uo1S4nJ0ds0KCBGBMTI3bt2lV8/fXXpQ6p2r3zzjvi448/LnUYkuvfv784YcIEi21DhgwRn332WYkiqn4AxJ9//tn82mg0ir6+vuInn3xi3lZYWCi6urqKixYtkiDC6nHv+1CSI0eOiADEy5cvV09QEijtfbh69aoYEBAg/vPPP2JwcLD4v//9r9pju5+HtmZEq9UiNjYWvXr1stjeq1cvHDp0SKKoHg5ZWVkAAA8PD4kjqX4vv/wy+vfvjx49ekgdimR++eUXhIeH4+mnn4a3tzdat26NJUuWSB1WtXv88cexc+dOnD17FgBw8uRJHDhwAP369ZM4MukkJiYiJSXF4vemSqVC165d+XszKwuCINS6GkSj0YjnnnsOb731Fpo2bSp1OKWq8HTw1SUtLQ0Gg6HY04B9fHyKPQW4NhFFEZGRkXj88cfRrFkzqcOpVj/++CNiY2Nx7NgxqUOR1MWLF7Fw4UJERkbivffew5EjR/Daa69BpVJZPBfK1r3zzjvIyspCWFgY5HI5DAYD/u///g8jR46UOjTJFP1uLOn35uXLl6UI6aFQWFiId999F6NGjap1T/H99NNPoVAo8Nprr0kdSpke2mSkiCAIFq9FUSy2rTZ55ZVXcOrUKRw4cEDqUKrVlStX8Prrr2PHjh1Qq9VShyMpo9GI8PBwzJ49GwDQunVrnD59GgsXLqxVycjatWuxatUqrF69Gk2bNkVcXBymTJkCf39/jB07VurwJMXfm3fodDo888wzMBqNWLBggdThVKvY2Fh8+eWXOH78+EP/7//QNtN4eXlBLpcXqwVJTU0tlvXXFq+++ip++eUX7N69G4888ojU4VSr2NhYpKamom3btlAoFFAoFNi7dy+++uorKBQKGAwGqUOsNn5+fmjSpInFtsaNG9e6jt1vvfUW3n33XTzzzDNo3rw5nnvuOUydOhVRUVFShyYZX19fAODvzdt0Oh2GDx+OxMRExMTE1Lpakf379yM1NRVBQUHm35uXL1/GG2+8gZCQEKnDs/DQJiNKpRJt27ZFTEyMxfaYmBh07NhRoqikIYoiXnnlFWzcuBG7du1CaGio1CFVu+7du+Pvv/9GXFyceQkPD8fo0aMRFxcHuVwudYjVplOnTsWGdp89e9b85OzaIj8/HzKZ5a8wuVxu80N7yxIaGgpfX1+L35tarRZ79+6tdb83ixKRc+fO4Y8//oCnp6fUIVW75557DqdOnbL4venv74+33noL27dvlzo8Cw91M01kZCSee+45hIeHo0OHDli8eDGSkpIwadIkqUOrVi+//DJWr16NzZs3w9nZ2fxXj6urK+zt7SWOrno4OzsX6yPj6OgIT0/PWtd3ZurUqejYsSNmz56N4cOH48iRI1i8eDEWL14sdWjVauDAgfi///s/BAUFoWnTpjhx4gTmzZuHCRMmSB1alcrNzcX58+fNrxMTExEXFwcPDw8EBQVhypQpmD17Nho0aIAGDRpg9uzZcHBwwKhRoySM2vrKeh/8/f0xbNgwHD9+HL/99hsMBoP596aHhweUSqVUYVvd/T4P9yZhdnZ28PX1RaNGjao71LJJO5jn/ubPny8GBweLSqVSbNOmTa0czgqgxGX58uVShyap2jq0VxRF8ddffxWbNWsmqlQqMSwsTFy8eLHUIVW77Oxs8fXXXxeDgoJEtVot1q1bV5w+fbqo0WikDq1K7d69u8TfB2PHjhVF0TS8d8aMGaKvr6+oUqnELl26iH///be0QVeBst6HxMTEUn9v7t69W+rQrep+n4d7PaxDewVRFMVqynuIiIiIinlo+4wQERFR7cBkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCT1//0ceJg8nLR+AAAAAElFTkSuQmCC\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -7656,7 +9583,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -7733,7 +9660,7 @@
},
{
"data": {
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\n",
+ "image/png": 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",
"text/plain": [
""
]
diff --git a/1_scraping_fbref.ipynb b/1_scraping_fbref.ipynb
index 9c88760..6940af4 100644
--- a/1_scraping_fbref.ipynb
+++ b/1_scraping_fbref.ipynb
@@ -281,59 +281,83 @@
" \n",
" \n",
" 0 \n",
+ " Oliver Abildgaard \n",
+ " dk DEN \n",
+ " MF \n",
+ " Hellas Verona \n",
+ " 26-245 \n",
+ " 1996 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 11.0 \n",
+ " 0.0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " \n",
+ " \n",
+ " 1 \n",
" Tammy Abraham \n",
" eng ENG \n",
" FW \n",
" Roma \n",
- " 25-125 \n",
+ " 25-131 \n",
" 1997 \n",
- " 20.0 \n",
- " 16.0 \n",
- " 1410.0 \n",
- " 5.0 \n",
+ " 21.0 \n",
+ " 17.0 \n",
+ " 1500.0 \n",
+ " 6.0 \n",
" ... \n",
- " 19.0 \n",
- " 30.0 \n",
- " 8.0 \n",
+ " 21.0 \n",
+ " 32.0 \n",
+ " 9.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 30.0 \n",
- " 38.0 \n",
- " 36.0 \n",
- " 51.4 \n",
+ " 31.0 \n",
+ " 39.0 \n",
+ " 39.0 \n",
+ " 50.0 \n",
" \n",
" \n",
- " 1 \n",
+ " 2 \n",
" Francesco Acerbi \n",
" it ITA \n",
" DF \n",
" Inter \n",
- " 34-359 \n",
+ " 35-000 \n",
" 1988 \n",
- " 13.0 \n",
- " 11.0 \n",
- " 1020.0 \n",
+ " 14.0 \n",
+ " 12.0 \n",
+ " 1110.0 \n",
" 0.0 \n",
" ... \n",
- " 8.0 \n",
- " 7.0 \n",
+ " 9.0 \n",
+ " 9.0 \n",
" 1.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 57.0 \n",
- " 30.0 \n",
- " 19.0 \n",
- " 61.2 \n",
+ " 61.0 \n",
+ " 34.0 \n",
+ " 20.0 \n",
+ " 63.0 \n",
" \n",
" \n",
- " 2 \n",
+ " 3 \n",
" Yacine Adli \n",
" fr FRA \n",
" MF,FW \n",
" Milan \n",
- " 22-190 \n",
+ " 22-196 \n",
" 2000 \n",
" 4.0 \n",
" 1.0 \n",
@@ -352,16 +376,16 @@
" 0.0 \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Michel Aebischer \n",
" ch SUI \n",
" FW,MF \n",
" Bologna \n",
- " 26-029 \n",
+ " 26-035 \n",
" 1997 \n",
- " 17.0 \n",
+ " 18.0 \n",
" 8.0 \n",
- " 767.0 \n",
+ " 775.0 \n",
" 1.0 \n",
" ... \n",
" 10.0 \n",
@@ -370,34 +394,10 @@
" 1.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 42.0 \n",
+ " 43.0 \n",
" 5.0 \n",
- " 8.0 \n",
- " 38.5 \n",
- " \n",
- " \n",
- " 4 \n",
- " Felix Afena-Gyan \n",
- " gh GHA \n",
- " FW,MF \n",
- " Cremonese \n",
- " 20-016 \n",
- " 2003 \n",
- " 11.0 \n",
- " 2.0 \n",
- " 327.0 \n",
- " 0.0 \n",
- " ... \n",
- " 8.0 \n",
- " 3.0 \n",
- " 4.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 14.0 \n",
- " 8.0 \n",
- " 15.0 \n",
- " 34.8 \n",
+ " 9.0 \n",
+ " 35.7 \n",
" \n",
" \n",
" ... \n",
@@ -424,12 +424,12 @@
" ... \n",
" \n",
" \n",
- " 520 \n",
+ " 536 \n",
" Petar Zovko \n",
" ba BIH \n",
" GK \n",
" Spezia \n",
- " 20-316 \n",
+ " 20-322 \n",
" 2002 \n",
" 1.0 \n",
" 0.0 \n",
@@ -448,12 +448,12 @@
" 0.0 \n",
" \n",
" \n",
- " 521 \n",
+ " 537 \n",
" Szymon Żurkowski \n",
" pl POL \n",
" MF \n",
" Fiorentina \n",
- " 25-132 \n",
+ " 25-138 \n",
" 1997 \n",
" 2.0 \n",
" 0.0 \n",
@@ -472,12 +472,12 @@
" 50.0 \n",
" \n",
" \n",
- " 522 \n",
+ " 538 \n",
" Szymon Żurkowski \n",
" pl POL \n",
" MF \n",
" Spezia \n",
- " 25-132 \n",
+ " 25-138 \n",
" 1997 \n",
" 1.0 \n",
" 0.0 \n",
@@ -496,12 +496,12 @@
" 0.0 \n",
" \n",
" \n",
- " 523 \n",
+ " 539 \n",
" Milan Đurić \n",
" ba BIH \n",
" FW \n",
" Hellas Verona \n",
- " 32-258 \n",
+ " 32-264 \n",
" 1990 \n",
" 16.0 \n",
" 7.0 \n",
@@ -520,88 +520,88 @@
" 80.1 \n",
" \n",
" \n",
- " 524 \n",
+ " 540 \n",
" Filip Đuričić \n",
" rs SRB \n",
" MF,FW \n",
" Sampdoria \n",
- " 31-005 \n",
+ " 31-011 \n",
" 1992 \n",
- " 19.0 \n",
- " 16.0 \n",
- " 1259.0 \n",
+ " 20.0 \n",
+ " 17.0 \n",
+ " 1326.0 \n",
" 2.0 \n",
" ... \n",
- " 21.0 \n",
+ " 22.0 \n",
" 33.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 69.0 \n",
- " 7.0 \n",
- " 12.0 \n",
- " 36.8 \n",
+ " 73.0 \n",
+ " 8.0 \n",
+ " 13.0 \n",
+ " 38.1 \n",
" \n",
" \n",
"\n",
- "525 rows × 124 columns
\n",
+ "541 rows × 115 columns
\n",
""
],
"text/plain": [
- " player nationality position team age birth_year \\\n",
- "0 Tammy Abraham eng ENG FW Roma 25-125 1997 \n",
- "1 Francesco Acerbi it ITA DF Inter 34-359 1988 \n",
- "2 Yacine Adli fr FRA MF,FW Milan 22-190 2000 \n",
- "3 Michel Aebischer ch SUI FW,MF Bologna 26-029 1997 \n",
- "4 Felix Afena-Gyan gh GHA FW,MF Cremonese 20-016 2003 \n",
- ".. ... ... ... ... ... ... \n",
- "520 Petar Zovko ba BIH GK Spezia 20-316 2002 \n",
- "521 Szymon Żurkowski pl POL MF Fiorentina 25-132 1997 \n",
- "522 Szymon Żurkowski pl POL MF Spezia 25-132 1997 \n",
- "523 Milan Đurić ba BIH FW Hellas Verona 32-258 1990 \n",
- "524 Filip Đuričić rs SRB MF,FW Sampdoria 31-005 1992 \n",
+ " player nationality position team age birth_year \\\n",
+ "0 Oliver Abildgaard dk DEN MF Hellas Verona 26-245 1996 \n",
+ "1 Tammy Abraham eng ENG FW Roma 25-131 1997 \n",
+ "2 Francesco Acerbi it ITA DF Inter 35-000 1988 \n",
+ "3 Yacine Adli fr FRA MF,FW Milan 22-196 2000 \n",
+ "4 Michel Aebischer ch SUI FW,MF Bologna 26-035 1997 \n",
+ ".. ... ... ... ... ... ... \n",
+ "536 Petar Zovko ba BIH GK Spezia 20-322 2002 \n",
+ "537 Szymon Żurkowski pl POL MF Fiorentina 25-138 1997 \n",
+ "538 Szymon Żurkowski pl POL MF Spezia 25-138 1997 \n",
+ "539 Milan Đurić ba BIH FW Hellas Verona 32-264 1990 \n",
+ "540 Filip Đuričić rs SRB MF,FW Sampdoria 31-011 1992 \n",
"\n",
" games games_starts minutes goals ... fouls fouled offsides \\\n",
- "0 20.0 16.0 1410.0 5.0 ... 19.0 30.0 8.0 \n",
- "1 13.0 11.0 1020.0 0.0 ... 8.0 7.0 1.0 \n",
- "2 4.0 1.0 116.0 0.0 ... 3.0 1.0 0.0 \n",
- "3 17.0 8.0 767.0 1.0 ... 10.0 14.0 5.0 \n",
- "4 11.0 2.0 327.0 0.0 ... 8.0 3.0 4.0 \n",
+ "0 1.0 0.0 11.0 0.0 ... 0.0 0.0 0.0 \n",
+ "1 21.0 17.0 1500.0 6.0 ... 21.0 32.0 9.0 \n",
+ "2 14.0 12.0 1110.0 0.0 ... 9.0 9.0 1.0 \n",
+ "3 4.0 1.0 116.0 0.0 ... 3.0 1.0 0.0 \n",
+ "4 18.0 8.0 775.0 1.0 ... 10.0 14.0 5.0 \n",
".. ... ... ... ... ... ... ... ... \n",
- "520 1.0 0.0 74.0 0.0 ... 0.0 0.0 0.0 \n",
- "521 2.0 0.0 32.0 0.0 ... 1.0 0.0 0.0 \n",
- "522 1.0 0.0 8.0 0.0 ... 0.0 0.0 0.0 \n",
- "523 16.0 7.0 703.0 1.0 ... 15.0 14.0 3.0 \n",
- "524 19.0 16.0 1259.0 2.0 ... 21.0 33.0 0.0 \n",
+ "536 1.0 0.0 74.0 0.0 ... 0.0 0.0 0.0 \n",
+ "537 2.0 0.0 32.0 0.0 ... 1.0 0.0 0.0 \n",
+ "538 1.0 0.0 8.0 0.0 ... 0.0 0.0 0.0 \n",
+ "539 16.0 7.0 703.0 1.0 ... 15.0 14.0 3.0 \n",
+ "540 20.0 17.0 1326.0 2.0 ... 22.0 33.0 0.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 1.0 0.0 0.0 30.0 38.0 \n",
- "1 0.0 0.0 0.0 57.0 30.0 \n",
- "2 0.0 0.0 0.0 5.0 0.0 \n",
- "3 1.0 1.0 0.0 42.0 5.0 \n",
- "4 0.0 0.0 0.0 14.0 8.0 \n",
+ "0 0.0 0.0 0.0 1.0 0.0 \n",
+ "1 1.0 0.0 0.0 31.0 39.0 \n",
+ "2 0.0 0.0 0.0 61.0 34.0 \n",
+ "3 0.0 0.0 0.0 5.0 0.0 \n",
+ "4 1.0 1.0 0.0 43.0 5.0 \n",
".. ... ... ... ... ... \n",
- "520 0.0 0.0 0.0 2.0 0.0 \n",
- "521 0.0 0.0 0.0 2.0 1.0 \n",
- "522 0.0 0.0 0.0 3.0 0.0 \n",
- "523 0.0 0.0 0.0 16.0 113.0 \n",
- "524 0.0 0.0 0.0 69.0 7.0 \n",
+ "536 0.0 0.0 0.0 2.0 0.0 \n",
+ "537 0.0 0.0 0.0 2.0 1.0 \n",
+ "538 0.0 0.0 0.0 3.0 0.0 \n",
+ "539 0.0 0.0 0.0 16.0 113.0 \n",
+ "540 0.0 0.0 0.0 73.0 8.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 36.0 51.4 \n",
- "1 19.0 61.2 \n",
- "2 3.0 0.0 \n",
- "3 8.0 38.5 \n",
- "4 15.0 34.8 \n",
+ "0 1.0 0.0 \n",
+ "1 39.0 50.0 \n",
+ "2 20.0 63.0 \n",
+ "3 3.0 0.0 \n",
+ "4 9.0 35.7 \n",
".. ... ... \n",
- "520 0.0 0.0 \n",
- "521 1.0 50.0 \n",
- "522 0.0 0.0 \n",
- "523 28.0 80.1 \n",
- "524 12.0 36.8 \n",
+ "536 0.0 0.0 \n",
+ "537 1.0 50.0 \n",
+ "538 0.0 0.0 \n",
+ "539 28.0 80.1 \n",
+ "540 13.0 38.1 \n",
"\n",
- "[525 rows x 124 columns]"
+ "[541 rows x 115 columns]"
]
},
"execution_count": 3,
@@ -674,23 +674,23 @@
" it ITA \n",
" GK \n",
" Sampdoria \n",
- " 26-017 \n",
+ " 26-023 \n",
" 1997 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
- " 34.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
+ " 36.0 \n",
" ... \n",
- " 38.9 \n",
- " 154.0 \n",
+ " 39.4 \n",
+ " 161.0 \n",
" 58.4 \n",
- " 45.0 \n",
- " 256.0 \n",
- " 15.0 \n",
- " 5.9 \n",
+ " 44.8 \n",
+ " 283.0 \n",
" 20.0 \n",
- " 1.00 \n",
- " 15.4 \n",
+ " 7.1 \n",
+ " 20.0 \n",
+ " 0.95 \n",
+ " 14.7 \n",
" \n",
" \n",
" 1 \n",
@@ -698,23 +698,23 @@
" it ITA \n",
" GK \n",
" Cremonese \n",
- " 22-218 \n",
+ " 22-224 \n",
" 2000 \n",
- " 11.0 \n",
- " 11.0 \n",
- " 990.0 \n",
- " 16.0 \n",
- " ... \n",
- " 39.6 \n",
- " 78.0 \n",
- " 59.0 \n",
- " 49.3 \n",
- " 138.0 \n",
" 12.0 \n",
- " 8.7 \n",
- " 7.0 \n",
- " 0.64 \n",
- " 12.3 \n",
+ " 12.0 \n",
+ " 1080.0 \n",
+ " 18.0 \n",
+ " ... \n",
+ " 38.9 \n",
+ " 86.0 \n",
+ " 53.5 \n",
+ " 46.1 \n",
+ " 158.0 \n",
+ " 13.0 \n",
+ " 8.2 \n",
+ " 8.0 \n",
+ " 0.67 \n",
+ " 12.9 \n",
" \n",
" \n",
" 2 \n",
@@ -722,23 +722,23 @@
" it ITA \n",
" GK \n",
" Sassuolo \n",
- " 36-008 \n",
+ " 36-014 \n",
" 1987 \n",
- " 18.0 \n",
- " 18.0 \n",
- " 1620.0 \n",
+ " 19.0 \n",
+ " 19.0 \n",
+ " 1710.0 \n",
" 28.0 \n",
" ... \n",
- " 34.6 \n",
- " 167.0 \n",
- " 32.3 \n",
- " 33.3 \n",
- " 236.0 \n",
- " 14.0 \n",
- " 5.9 \n",
- " 15.0 \n",
- " 0.83 \n",
- " 14.4 \n",
+ " 34.3 \n",
+ " 172.0 \n",
+ " 32.6 \n",
+ " 33.6 \n",
+ " 255.0 \n",
+ " 16.0 \n",
+ " 6.3 \n",
+ " 23.0 \n",
+ " 1.21 \n",
+ " 15.2 \n",
" \n",
" \n",
" 3 \n",
@@ -746,23 +746,23 @@
" it ITA \n",
" GK \n",
" Monza \n",
- " 25-192 \n",
+ " 25-198 \n",
" 1997 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
- " 28.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
+ " 30.0 \n",
" ... \n",
- " 33.2 \n",
- " 121.0 \n",
- " 32.2 \n",
- " 31.7 \n",
- " 278.0 \n",
+ " 32.9 \n",
+ " 124.0 \n",
+ " 31.5 \n",
+ " 31.4 \n",
+ " 286.0 \n",
" 10.0 \n",
- " 3.6 \n",
- " 14.0 \n",
- " 0.70 \n",
- " 12.9 \n",
+ " 3.5 \n",
+ " 16.0 \n",
+ " 0.76 \n",
+ " 13.3 \n",
" \n",
" \n",
" 4 \n",
@@ -770,23 +770,23 @@
" pl POL \n",
" GK \n",
" Spezia \n",
- " 25-169 \n",
+ " 25-175 \n",
" 1997 \n",
- " 18.0 \n",
- " 18.0 \n",
- " 1572.0 \n",
- " 29.0 \n",
+ " 19.0 \n",
+ " 19.0 \n",
+ " 1662.0 \n",
+ " 32.0 \n",
" ... \n",
- " 34.4 \n",
- " 106.0 \n",
- " 63.2 \n",
- " 47.8 \n",
- " 235.0 \n",
+ " 34.6 \n",
+ " 109.0 \n",
+ " 64.2 \n",
+ " 48.0 \n",
+ " 251.0 \n",
" 9.0 \n",
- " 3.8 \n",
+ " 3.6 \n",
" 24.0 \n",
- " 1.37 \n",
- " 15.6 \n",
+ " 1.30 \n",
+ " 15.3 \n",
" \n",
" \n",
" 5 \n",
@@ -794,22 +794,22 @@
" it ITA \n",
" GK \n",
" Lecce \n",
- " 27-298 \n",
+ " 27-304 \n",
" 1995 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
" 24.0 \n",
" ... \n",
- " 40.9 \n",
- " 156.0 \n",
- " 75.0 \n",
- " 51.4 \n",
- " 302.0 \n",
- " 13.0 \n",
- " 4.3 \n",
+ " 41.3 \n",
+ " 163.0 \n",
+ " 76.1 \n",
+ " 51.7 \n",
+ " 316.0 \n",
+ " 15.0 \n",
+ " 4.7 \n",
" 20.0 \n",
- " 1.00 \n",
+ " 0.95 \n",
" 12.5 \n",
" \n",
" \n",
@@ -818,7 +818,7 @@
" it ITA \n",
" GK \n",
" Fiorentina \n",
- " 27-323 \n",
+ " 27-329 \n",
" 1995 \n",
" 3.0 \n",
" 3.0 \n",
@@ -842,7 +842,7 @@
" si SVN \n",
" GK \n",
" Inter \n",
- " 38-205 \n",
+ " 38-211 \n",
" 1984 \n",
" 8.0 \n",
" 8.0 \n",
@@ -866,7 +866,7 @@
" fr FRA \n",
" GK \n",
" Milan \n",
- " 27-216 \n",
+ " 27-222 \n",
" 1995 \n",
" 7.0 \n",
" 7.0 \n",
@@ -890,7 +890,7 @@
" pt POR \n",
" GK \n",
" Lazio \n",
- " 24-030 \n",
+ " 24-036 \n",
" 1999 \n",
" 1.0 \n",
" 1.0 \n",
@@ -914,22 +914,22 @@
" it ITA \n",
" GK \n",
" Napoli \n",
- " 25-319 \n",
+ " 25-325 \n",
" 1997 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" ... \n",
" 26.7 \n",
- " 118.0 \n",
- " 20.3 \n",
- " 27.5 \n",
- " 213.0 \n",
+ " 128.0 \n",
+ " 19.5 \n",
+ " 27.1 \n",
+ " 221.0 \n",
" 6.0 \n",
- " 2.8 \n",
+ " 2.7 \n",
" 24.0 \n",
- " 1.20 \n",
+ " 1.14 \n",
" 17.2 \n",
" \n",
" \n",
@@ -938,23 +938,23 @@
" rs SRB \n",
" GK \n",
" Torino \n",
- " 25-349 \n",
+ " 25-355 \n",
" 1997 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
" 22.0 \n",
" ... \n",
- " 41.0 \n",
- " 149.0 \n",
- " 94.0 \n",
+ " 40.9 \n",
+ " 155.0 \n",
+ " 94.2 \n",
" 71.7 \n",
- " 244.0 \n",
+ " 263.0 \n",
" 18.0 \n",
- " 7.4 \n",
- " 33.0 \n",
- " 1.65 \n",
- " 16.1 \n",
+ " 6.8 \n",
+ " 35.0 \n",
+ " 1.67 \n",
+ " 16.3 \n",
" \n",
" \n",
" 12 \n",
@@ -962,23 +962,23 @@
" it ITA \n",
" GK \n",
" Hellas Verona \n",
- " 26-349 \n",
+ " 26-355 \n",
" 1996 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
- " 32.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
+ " 33.0 \n",
" ... \n",
- " 43.5 \n",
- " 159.0 \n",
- " 59.7 \n",
- " 45.7 \n",
- " 279.0 \n",
- " 12.0 \n",
- " 4.3 \n",
+ " 44.1 \n",
+ " 168.0 \n",
+ " 61.9 \n",
+ " 46.7 \n",
+ " 294.0 \n",
+ " 15.0 \n",
+ " 5.1 \n",
" 46.0 \n",
- " 2.30 \n",
- " 17.4 \n",
+ " 2.19 \n",
+ " 16.8 \n",
" \n",
" \n",
" 13 \n",
@@ -986,23 +986,23 @@
" ar ARG \n",
" GK \n",
" Atalanta \n",
- " 28-274 \n",
+ " 28-280 \n",
" 1994 \n",
- " 14.0 \n",
- " 14.0 \n",
- " 1177.0 \n",
- " 14.0 \n",
+ " 15.0 \n",
+ " 15.0 \n",
+ " 1267.0 \n",
+ " 15.0 \n",
" ... \n",
- " 32.6 \n",
- " 92.0 \n",
- " 62.0 \n",
- " 47.6 \n",
- " 161.0 \n",
- " 8.0 \n",
- " 5.0 \n",
+ " 32.5 \n",
+ " 98.0 \n",
+ " 61.2 \n",
+ " 47.1 \n",
+ " 174.0 \n",
+ " 10.0 \n",
+ " 5.7 \n",
" 12.0 \n",
- " 0.92 \n",
- " 15.1 \n",
+ " 0.85 \n",
+ " 14.6 \n",
" \n",
" \n",
" 14 \n",
@@ -1010,23 +1010,23 @@
" mx MEX \n",
" GK \n",
" Salernitana \n",
- " 37-206 \n",
+ " 37-212 \n",
" 1985 \n",
- " 5.0 \n",
- " 5.0 \n",
- " 450.0 \n",
- " 14.0 \n",
+ " 6.0 \n",
+ " 6.0 \n",
+ " 540.0 \n",
+ " 17.0 \n",
" ... \n",
- " 43.3 \n",
- " 52.0 \n",
- " 78.8 \n",
- " 54.7 \n",
- " 77.0 \n",
- " 2.0 \n",
- " 2.6 \n",
+ " 41.9 \n",
+ " 60.0 \n",
+ " 71.7 \n",
+ " 52.2 \n",
+ " 86.0 \n",
+ " 3.0 \n",
+ " 3.5 \n",
" 4.0 \n",
- " 0.80 \n",
- " 16.5 \n",
+ " 0.67 \n",
+ " 15.7 \n",
" \n",
" \n",
" 15 \n",
@@ -1034,23 +1034,23 @@
" cm CMR \n",
" GK \n",
" Inter \n",
- " 26-308 \n",
+ " 26-314 \n",
" 1996 \n",
- " 12.0 \n",
- " 12.0 \n",
- " 1080.0 \n",
+ " 13.0 \n",
+ " 13.0 \n",
+ " 1170.0 \n",
" 13.0 \n",
" ... \n",
- " 31.0 \n",
- " 88.0 \n",
- " 33.0 \n",
- " 36.3 \n",
- " 159.0 \n",
+ " 30.7 \n",
+ " 92.0 \n",
+ " 33.7 \n",
+ " 36.9 \n",
+ " 165.0 \n",
" 7.0 \n",
- " 4.4 \n",
- " 3.0 \n",
- " 0.25 \n",
- " 12.6 \n",
+ " 4.2 \n",
+ " 4.0 \n",
+ " 0.31 \n",
+ " 13.2 \n",
" \n",
" \n",
" 16 \n",
@@ -1058,23 +1058,23 @@
" pt POR \n",
" GK \n",
" Roma \n",
- " 34-354 \n",
+ " 34-360 \n",
" 1988 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
" 18.0 \n",
" ... \n",
- " 31.6 \n",
- " 146.0 \n",
+ " 31.8 \n",
+ " 159.0 \n",
" 30.8 \n",
- " 32.9 \n",
- " 229.0 \n",
+ " 32.8 \n",
+ " 248.0 \n",
" 6.0 \n",
- " 2.6 \n",
- " 13.0 \n",
- " 0.65 \n",
- " 13.8 \n",
+ " 2.4 \n",
+ " 15.0 \n",
+ " 0.71 \n",
+ " 14.0 \n",
" \n",
" \n",
" 17 \n",
@@ -1082,7 +1082,7 @@
" it ITA \n",
" GK \n",
" Sassuolo \n",
- " 41-316 \n",
+ " 41-322 \n",
" 1981 \n",
" 2.0 \n",
" 2.0 \n",
@@ -1106,7 +1106,7 @@
" it ITA \n",
" GK \n",
" Juventus \n",
- " 30-086 \n",
+ " 30-092 \n",
" 1992 \n",
" 7.0 \n",
" 6.0 \n",
@@ -1130,23 +1130,23 @@
" it ITA \n",
" GK \n",
" Lazio \n",
- " 28-324 \n",
+ " 28-330 \n",
" 1994 \n",
+ " 21.0 \n",
" 20.0 \n",
- " 19.0 \n",
- " 1793.0 \n",
- " 16.0 \n",
+ " 1883.0 \n",
+ " 17.0 \n",
" ... \n",
- " 32.8 \n",
- " 119.0 \n",
- " 33.6 \n",
+ " 33.0 \n",
+ " 120.0 \n",
" 34.2 \n",
- " 266.0 \n",
+ " 34.5 \n",
+ " 279.0 \n",
" 7.0 \n",
- " 2.6 \n",
- " 37.0 \n",
+ " 2.5 \n",
+ " 39.0 \n",
" 1.86 \n",
- " 18.0 \n",
+ " 18.2 \n",
" \n",
" \n",
" 20 \n",
@@ -1154,7 +1154,7 @@
" ro ROU \n",
" GK \n",
" Cremonese \n",
- " 25-252 \n",
+ " 25-258 \n",
" 1997 \n",
" 9.0 \n",
" 9.0 \n",
@@ -1178,7 +1178,7 @@
" it ITA \n",
" GK \n",
" Salernitana \n",
- " 31-272 \n",
+ " 31-278 \n",
" 1991 \n",
" 15.0 \n",
" 15.0 \n",
@@ -1202,23 +1202,23 @@
" it ITA \n",
" GK \n",
" Udinese \n",
- " 31-339 \n",
+ " 31-345 \n",
" 1991 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
- " 22.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
+ " 23.0 \n",
" ... \n",
- " 33.3 \n",
- " 154.0 \n",
- " 39.6 \n",
- " 36.6 \n",
- " 263.0 \n",
+ " 33.6 \n",
+ " 164.0 \n",
+ " 39.0 \n",
+ " 36.1 \n",
+ " 275.0 \n",
" 5.0 \n",
- " 1.9 \n",
+ " 1.8 \n",
" 10.0 \n",
- " 0.50 \n",
- " 13.8 \n",
+ " 0.48 \n",
+ " 13.7 \n",
" \n",
" \n",
" 23 \n",
@@ -1226,23 +1226,23 @@
" pl POL \n",
" GK \n",
" Bologna \n",
- " 31-275 \n",
+ " 31-281 \n",
" 1991 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
- " 30.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
+ " 31.0 \n",
" ... \n",
- " 32.1 \n",
- " 141.0 \n",
- " 37.6 \n",
- " 33.9 \n",
- " 280.0 \n",
+ " 32.7 \n",
+ " 153.0 \n",
+ " 38.6 \n",
+ " 34.5 \n",
+ " 299.0 \n",
" 18.0 \n",
- " 6.4 \n",
+ " 6.0 \n",
" 17.0 \n",
- " 0.85 \n",
- " 14.1 \n",
+ " 0.81 \n",
+ " 13.3 \n",
" \n",
" \n",
" 24 \n",
@@ -1250,7 +1250,7 @@
" it ITA \n",
" GK \n",
" Atalanta \n",
- " 30-270 \n",
+ " 30-276 \n",
" 1992 \n",
" 7.0 \n",
" 6.0 \n",
@@ -1274,23 +1274,23 @@
" pl POL \n",
" GK \n",
" Juventus \n",
- " 32-292 \n",
+ " 32-298 \n",
" 1990 \n",
- " 14.0 \n",
- " 14.0 \n",
- " 1212.0 \n",
+ " 15.0 \n",
+ " 15.0 \n",
+ " 1302.0 \n",
" 13.0 \n",
" ... \n",
- " 35.2 \n",
- " 62.0 \n",
- " 40.3 \n",
- " 38.9 \n",
- " 159.0 \n",
+ " 35.0 \n",
+ " 72.0 \n",
+ " 41.7 \n",
+ " 38.7 \n",
+ " 178.0 \n",
" 4.0 \n",
- " 2.5 \n",
- " 10.0 \n",
- " 0.74 \n",
- " 15.1 \n",
+ " 2.2 \n",
+ " 12.0 \n",
+ " 0.83 \n",
+ " 15.8 \n",
" \n",
" \n",
" 26 \n",
@@ -1298,23 +1298,23 @@
" ro ROU \n",
" GK \n",
" Milan \n",
- " 36-360 \n",
+ " 37-001 \n",
" 1986 \n",
- " 13.0 \n",
- " 13.0 \n",
- " 1170.0 \n",
- " 21.0 \n",
+ " 14.0 \n",
+ " 14.0 \n",
+ " 1260.0 \n",
+ " 22.0 \n",
" ... \n",
- " 32.5 \n",
- " 52.0 \n",
- " 34.6 \n",
- " 34.7 \n",
- " 134.0 \n",
- " 8.0 \n",
- " 6.0 \n",
+ " 32.6 \n",
+ " 65.0 \n",
+ " 47.7 \n",
+ " 39.9 \n",
+ " 158.0 \n",
+ " 9.0 \n",
+ " 5.7 \n",
" 10.0 \n",
- " 0.77 \n",
- " 15.1 \n",
+ " 0.71 \n",
+ " 13.8 \n",
" \n",
" \n",
" 27 \n",
@@ -1322,22 +1322,22 @@
" it ITA \n",
" GK \n",
" Fiorentina \n",
- " 32-333 \n",
+ " 32-339 \n",
" 1990 \n",
- " 17.0 \n",
- " 17.0 \n",
- " 1530.0 \n",
- " 24.0 \n",
+ " 18.0 \n",
+ " 18.0 \n",
+ " 1620.0 \n",
+ " 26.0 \n",
" ... \n",
" 32.9 \n",
- " 110.0 \n",
- " 44.5 \n",
- " 40.4 \n",
- " 159.0 \n",
+ " 116.0 \n",
+ " 43.1 \n",
+ " 39.4 \n",
+ " 163.0 \n",
" 9.0 \n",
- " 5.7 \n",
+ " 5.5 \n",
" 34.0 \n",
- " 2.00 \n",
+ " 1.89 \n",
" 18.9 \n",
" \n",
" \n",
@@ -1346,23 +1346,23 @@
" it ITA \n",
" GK \n",
" Empoli \n",
- " 26-120 \n",
+ " 26-126 \n",
" 1996 \n",
- " 20.0 \n",
- " 20.0 \n",
- " 1800.0 \n",
- " 24.0 \n",
+ " 21.0 \n",
+ " 21.0 \n",
+ " 1890.0 \n",
+ " 26.0 \n",
" ... \n",
- " 34.3 \n",
- " 107.0 \n",
- " 47.7 \n",
- " 42.5 \n",
- " 412.0 \n",
+ " 34.0 \n",
+ " 108.0 \n",
+ " 47.2 \n",
+ " 42.4 \n",
+ " 426.0 \n",
" 25.0 \n",
- " 6.1 \n",
- " 10.0 \n",
- " 0.50 \n",
- " 10.7 \n",
+ " 5.9 \n",
+ " 12.0 \n",
+ " 0.57 \n",
+ " 10.9 \n",
" \n",
" \n",
" 29 \n",
@@ -1370,7 +1370,7 @@
" nl NED \n",
" GK \n",
" Spezia \n",
- " 32-029 \n",
+ " 32-035 \n",
" 1991 \n",
" 3.0 \n",
" 2.0 \n",
@@ -1394,7 +1394,7 @@
" ba BIH \n",
" GK \n",
" Spezia \n",
- " 20-316 \n",
+ " 20-322 \n",
" 2002 \n",
" 1.0 \n",
" 0.0 \n",
@@ -1419,200 +1419,200 @@
],
"text/plain": [
" player nationality position team age \\\n",
- "0 Emil Audero it ITA GK Sampdoria 26-017 \n",
- "1 Marco Carnesecchi it ITA GK Cremonese 22-218 \n",
- "2 Andrea Consigli it ITA GK Sassuolo 36-008 \n",
- "3 Michele Di Gregorio it ITA GK Monza 25-192 \n",
- "4 Bartłomiej Drągowski pl POL GK Spezia 25-169 \n",
- "5 Wladimiro Falcone it ITA GK Lecce 27-298 \n",
- "6 Pierluigi Gollini it ITA GK Fiorentina 27-323 \n",
- "7 Samir Handanović si SVN GK Inter 38-205 \n",
- "8 Mike Maignan fr FRA GK Milan 27-216 \n",
- "9 Luís Maximiano pt POR GK Lazio 24-030 \n",
- "10 Alex Meret it ITA GK Napoli 25-319 \n",
- "11 Vanja Milinković-Savić rs SRB GK Torino 25-349 \n",
- "12 Lorenzo Montipò it ITA GK Hellas Verona 26-349 \n",
- "13 Juan Musso ar ARG GK Atalanta 28-274 \n",
- "14 Guillermo Ochoa mx MEX GK Salernitana 37-206 \n",
- "15 André Onana cm CMR GK Inter 26-308 \n",
- "16 Rui Patrício pt POR GK Roma 34-354 \n",
- "17 Gianluca Pegolo it ITA GK Sassuolo 41-316 \n",
- "18 Mattia Perin it ITA GK Juventus 30-086 \n",
- "19 Ivan Provedel it ITA GK Lazio 28-324 \n",
- "20 Ionuț Radu ro ROU GK Cremonese 25-252 \n",
- "21 Luigi Sepe it ITA GK Salernitana 31-272 \n",
- "22 Marco Silvestri it ITA GK Udinese 31-339 \n",
- "23 Łukasz Skorupski pl POL GK Bologna 31-275 \n",
- "24 Marco Sportiello it ITA GK Atalanta 30-270 \n",
- "25 Wojciech Szczęsny pl POL GK Juventus 32-292 \n",
- "26 Ciprian Tătărușanu ro ROU GK Milan 36-360 \n",
- "27 Pietro Terracciano it ITA GK Fiorentina 32-333 \n",
- "28 Guglielmo Vicario it ITA GK Empoli 26-120 \n",
- "29 Jeroen Zoet nl NED GK Spezia 32-029 \n",
- "30 Petar Zovko ba BIH GK Spezia 20-316 \n",
+ "0 Emil Audero it ITA GK Sampdoria 26-023 \n",
+ "1 Marco Carnesecchi it ITA GK Cremonese 22-224 \n",
+ "2 Andrea Consigli it ITA GK Sassuolo 36-014 \n",
+ "3 Michele Di Gregorio it ITA GK Monza 25-198 \n",
+ "4 Bartłomiej Drągowski pl POL GK Spezia 25-175 \n",
+ "5 Wladimiro Falcone it ITA GK Lecce 27-304 \n",
+ "6 Pierluigi Gollini it ITA GK Fiorentina 27-329 \n",
+ "7 Samir Handanović si SVN GK Inter 38-211 \n",
+ "8 Mike Maignan fr FRA GK Milan 27-222 \n",
+ "9 Luís Maximiano pt POR GK Lazio 24-036 \n",
+ "10 Alex Meret it ITA GK Napoli 25-325 \n",
+ "11 Vanja Milinković-Savić rs SRB GK Torino 25-355 \n",
+ "12 Lorenzo Montipò it ITA GK Hellas Verona 26-355 \n",
+ "13 Juan Musso ar ARG GK Atalanta 28-280 \n",
+ "14 Guillermo Ochoa mx MEX GK Salernitana 37-212 \n",
+ "15 André Onana cm CMR GK Inter 26-314 \n",
+ "16 Rui Patrício pt POR GK Roma 34-360 \n",
+ "17 Gianluca Pegolo it ITA GK Sassuolo 41-322 \n",
+ "18 Mattia Perin it ITA GK Juventus 30-092 \n",
+ "19 Ivan Provedel it ITA GK Lazio 28-330 \n",
+ "20 Ionuț Radu ro ROU GK Cremonese 25-258 \n",
+ "21 Luigi Sepe it ITA GK Salernitana 31-278 \n",
+ "22 Marco Silvestri it ITA GK Udinese 31-345 \n",
+ "23 Łukasz Skorupski pl POL GK Bologna 31-281 \n",
+ "24 Marco Sportiello it ITA GK Atalanta 30-276 \n",
+ "25 Wojciech Szczęsny pl POL GK Juventus 32-298 \n",
+ "26 Ciprian Tătărușanu ro ROU GK Milan 37-001 \n",
+ "27 Pietro Terracciano it ITA GK Fiorentina 32-339 \n",
+ "28 Guglielmo Vicario it ITA GK Empoli 26-126 \n",
+ "29 Jeroen Zoet nl NED GK Spezia 32-035 \n",
+ "30 Petar Zovko ba BIH GK Spezia 20-322 \n",
"\n",
" birth_year gk_games gk_games_starts gk_minutes gk_goals_against ... \\\n",
- "0 1997 20.0 20.0 1800.0 34.0 ... \n",
- "1 2000 11.0 11.0 990.0 16.0 ... \n",
- "2 1987 18.0 18.0 1620.0 28.0 ... \n",
- "3 1997 20.0 20.0 1800.0 28.0 ... \n",
- "4 1997 18.0 18.0 1572.0 29.0 ... \n",
- "5 1995 20.0 20.0 1800.0 24.0 ... \n",
+ "0 1997 21.0 21.0 1890.0 36.0 ... \n",
+ "1 2000 12.0 12.0 1080.0 18.0 ... \n",
+ "2 1987 19.0 19.0 1710.0 28.0 ... \n",
+ "3 1997 21.0 21.0 1890.0 30.0 ... \n",
+ "4 1997 19.0 19.0 1662.0 32.0 ... \n",
+ "5 1995 21.0 21.0 1890.0 24.0 ... \n",
"6 1995 3.0 3.0 270.0 2.0 ... \n",
"7 1984 8.0 8.0 720.0 13.0 ... \n",
"8 1995 7.0 7.0 630.0 8.0 ... \n",
"9 1999 1.0 1.0 5.0 0.0 ... \n",
- "10 1997 20.0 20.0 1800.0 15.0 ... \n",
- "11 1997 20.0 20.0 1800.0 22.0 ... \n",
- "12 1996 20.0 20.0 1800.0 32.0 ... \n",
- "13 1994 14.0 14.0 1177.0 14.0 ... \n",
- "14 1985 5.0 5.0 450.0 14.0 ... \n",
- "15 1996 12.0 12.0 1080.0 13.0 ... \n",
- "16 1988 20.0 20.0 1800.0 18.0 ... \n",
+ "10 1997 21.0 21.0 1890.0 15.0 ... \n",
+ "11 1997 21.0 21.0 1890.0 22.0 ... \n",
+ "12 1996 21.0 21.0 1890.0 33.0 ... \n",
+ "13 1994 15.0 15.0 1267.0 15.0 ... \n",
+ "14 1985 6.0 6.0 540.0 17.0 ... \n",
+ "15 1996 13.0 13.0 1170.0 13.0 ... \n",
+ "16 1988 21.0 21.0 1890.0 18.0 ... \n",
"17 1981 2.0 2.0 180.0 3.0 ... \n",
"18 1992 7.0 6.0 588.0 4.0 ... \n",
- "19 1994 20.0 19.0 1793.0 16.0 ... \n",
+ "19 1994 21.0 20.0 1883.0 17.0 ... \n",
"20 1997 9.0 9.0 810.0 19.0 ... \n",
"21 1991 15.0 15.0 1350.0 24.0 ... \n",
- "22 1991 20.0 20.0 1800.0 22.0 ... \n",
- "23 1991 20.0 20.0 1800.0 30.0 ... \n",
+ "22 1991 21.0 21.0 1890.0 23.0 ... \n",
+ "23 1991 21.0 21.0 1890.0 31.0 ... \n",
"24 1992 7.0 6.0 623.0 9.0 ... \n",
- "25 1990 14.0 14.0 1212.0 13.0 ... \n",
- "26 1986 13.0 13.0 1170.0 21.0 ... \n",
- "27 1990 17.0 17.0 1530.0 24.0 ... \n",
- "28 1996 20.0 20.0 1800.0 24.0 ... \n",
+ "25 1990 15.0 15.0 1302.0 13.0 ... \n",
+ "26 1986 14.0 14.0 1260.0 22.0 ... \n",
+ "27 1990 18.0 18.0 1620.0 26.0 ... \n",
+ "28 1996 21.0 21.0 1890.0 26.0 ... \n",
"29 1991 3.0 2.0 154.0 1.0 ... \n",
"30 2002 1.0 0.0 74.0 2.0 ... \n",
"\n",
" gk_passes_length_avg gk_goal_kicks gk_pct_goal_kicks_launched \\\n",
- "0 38.9 154.0 58.4 \n",
- "1 39.6 78.0 59.0 \n",
- "2 34.6 167.0 32.3 \n",
- "3 33.2 121.0 32.2 \n",
- "4 34.4 106.0 63.2 \n",
- "5 40.9 156.0 75.0 \n",
+ "0 39.4 161.0 58.4 \n",
+ "1 38.9 86.0 53.5 \n",
+ "2 34.3 172.0 32.6 \n",
+ "3 32.9 124.0 31.5 \n",
+ "4 34.6 109.0 64.2 \n",
+ "5 41.3 163.0 76.1 \n",
"6 32.4 11.0 63.6 \n",
"7 26.1 45.0 4.4 \n",
"8 33.5 18.0 38.9 \n",
"9 0.0 0.0 0.0 \n",
- "10 26.7 118.0 20.3 \n",
- "11 41.0 149.0 94.0 \n",
- "12 43.5 159.0 59.7 \n",
- "13 32.6 92.0 62.0 \n",
- "14 43.3 52.0 78.8 \n",
- "15 31.0 88.0 33.0 \n",
- "16 31.6 146.0 30.8 \n",
+ "10 26.7 128.0 19.5 \n",
+ "11 40.9 155.0 94.2 \n",
+ "12 44.1 168.0 61.9 \n",
+ "13 32.5 98.0 61.2 \n",
+ "14 41.9 60.0 71.7 \n",
+ "15 30.7 92.0 33.7 \n",
+ "16 31.8 159.0 30.8 \n",
"17 29.7 16.0 31.3 \n",
"18 30.3 41.0 39.0 \n",
- "19 32.8 119.0 33.6 \n",
+ "19 33.0 120.0 34.2 \n",
"20 37.3 67.0 50.7 \n",
"21 36.1 134.0 46.3 \n",
- "22 33.3 154.0 39.6 \n",
- "23 32.1 141.0 37.6 \n",
+ "22 33.6 164.0 39.0 \n",
+ "23 32.7 153.0 38.6 \n",
"24 28.5 61.0 68.9 \n",
- "25 35.2 62.0 40.3 \n",
- "26 32.5 52.0 34.6 \n",
- "27 32.9 110.0 44.5 \n",
- "28 34.3 107.0 47.7 \n",
+ "25 35.0 72.0 41.7 \n",
+ "26 32.6 65.0 47.7 \n",
+ "27 32.9 116.0 43.1 \n",
+ "28 34.0 108.0 47.2 \n",
"29 41.7 8.0 87.5 \n",
"30 35.1 13.0 76.9 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 45.0 256.0 15.0 \n",
- "1 49.3 138.0 12.0 \n",
- "2 33.3 236.0 14.0 \n",
- "3 31.7 278.0 10.0 \n",
- "4 47.8 235.0 9.0 \n",
- "5 51.4 302.0 13.0 \n",
+ "0 44.8 283.0 20.0 \n",
+ "1 46.1 158.0 13.0 \n",
+ "2 33.6 255.0 16.0 \n",
+ "3 31.4 286.0 10.0 \n",
+ "4 48.0 251.0 9.0 \n",
+ "5 51.7 316.0 15.0 \n",
"6 49.3 24.0 1.0 \n",
"7 24.0 79.0 2.0 \n",
"8 40.4 65.0 5.0 \n",
"9 0.0 0.0 0.0 \n",
- "10 27.5 213.0 6.0 \n",
- "11 71.7 244.0 18.0 \n",
- "12 45.7 279.0 12.0 \n",
- "13 47.6 161.0 8.0 \n",
- "14 54.7 77.0 2.0 \n",
- "15 36.3 159.0 7.0 \n",
- "16 32.9 229.0 6.0 \n",
+ "10 27.1 221.0 6.0 \n",
+ "11 71.7 263.0 18.0 \n",
+ "12 46.7 294.0 15.0 \n",
+ "13 47.1 174.0 10.0 \n",
+ "14 52.2 86.0 3.0 \n",
+ "15 36.9 165.0 7.0 \n",
+ "16 32.8 248.0 6.0 \n",
"17 28.3 28.0 2.0 \n",
"18 35.3 99.0 2.0 \n",
- "19 34.2 266.0 7.0 \n",
+ "19 34.5 279.0 7.0 \n",
"20 46.3 107.0 6.0 \n",
"21 40.6 199.0 15.0 \n",
- "22 36.6 263.0 5.0 \n",
- "23 33.9 280.0 18.0 \n",
+ "22 36.1 275.0 5.0 \n",
+ "23 34.5 299.0 18.0 \n",
"24 48.9 86.0 7.0 \n",
- "25 38.9 159.0 4.0 \n",
- "26 34.7 134.0 8.0 \n",
- "27 40.4 159.0 9.0 \n",
- "28 42.5 412.0 25.0 \n",
+ "25 38.7 178.0 4.0 \n",
+ "26 39.9 158.0 9.0 \n",
+ "27 39.4 163.0 9.0 \n",
+ "28 42.4 426.0 25.0 \n",
"29 56.6 24.0 1.0 \n",
"30 51.1 24.0 1.0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 5.9 20.0 \n",
- "1 8.7 7.0 \n",
- "2 5.9 15.0 \n",
- "3 3.6 14.0 \n",
- "4 3.8 24.0 \n",
- "5 4.3 20.0 \n",
+ "0 7.1 20.0 \n",
+ "1 8.2 8.0 \n",
+ "2 6.3 23.0 \n",
+ "3 3.5 16.0 \n",
+ "4 3.6 24.0 \n",
+ "5 4.7 20.0 \n",
"6 4.2 0.0 \n",
"7 2.5 5.0 \n",
"8 7.7 6.0 \n",
"9 0.0 0.0 \n",
- "10 2.8 24.0 \n",
- "11 7.4 33.0 \n",
- "12 4.3 46.0 \n",
- "13 5.0 12.0 \n",
- "14 2.6 4.0 \n",
- "15 4.4 3.0 \n",
- "16 2.6 13.0 \n",
+ "10 2.7 24.0 \n",
+ "11 6.8 35.0 \n",
+ "12 5.1 46.0 \n",
+ "13 5.7 12.0 \n",
+ "14 3.5 4.0 \n",
+ "15 4.2 4.0 \n",
+ "16 2.4 15.0 \n",
"17 7.1 0.0 \n",
"18 2.0 9.0 \n",
- "19 2.6 37.0 \n",
+ "19 2.5 39.0 \n",
"20 5.6 9.0 \n",
"21 7.5 11.0 \n",
- "22 1.9 10.0 \n",
- "23 6.4 17.0 \n",
+ "22 1.8 10.0 \n",
+ "23 6.0 17.0 \n",
"24 8.1 14.0 \n",
- "25 2.5 10.0 \n",
- "26 6.0 10.0 \n",
- "27 5.7 34.0 \n",
- "28 6.1 10.0 \n",
+ "25 2.2 12.0 \n",
+ "26 5.7 10.0 \n",
+ "27 5.5 34.0 \n",
+ "28 5.9 12.0 \n",
"29 4.2 3.0 \n",
"30 4.2 2.0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \n",
- "0 1.00 15.4 \n",
- "1 0.64 12.3 \n",
- "2 0.83 14.4 \n",
- "3 0.70 12.9 \n",
- "4 1.37 15.6 \n",
- "5 1.00 12.5 \n",
+ "0 0.95 14.7 \n",
+ "1 0.67 12.9 \n",
+ "2 1.21 15.2 \n",
+ "3 0.76 13.3 \n",
+ "4 1.30 15.3 \n",
+ "5 0.95 12.5 \n",
"6 0.00 9.3 \n",
"7 0.63 14.6 \n",
"8 0.86 12.9 \n",
"9 0.00 19.0 \n",
- "10 1.20 17.2 \n",
- "11 1.65 16.1 \n",
- "12 2.30 17.4 \n",
- "13 0.92 15.1 \n",
- "14 0.80 16.5 \n",
- "15 0.25 12.6 \n",
- "16 0.65 13.8 \n",
+ "10 1.14 17.2 \n",
+ "11 1.67 16.3 \n",
+ "12 2.19 16.8 \n",
+ "13 0.85 14.6 \n",
+ "14 0.67 15.7 \n",
+ "15 0.31 13.2 \n",
+ "16 0.71 14.0 \n",
"17 0.00 9.0 \n",
"18 1.38 17.8 \n",
- "19 1.86 18.0 \n",
+ "19 1.86 18.2 \n",
"20 1.00 14.5 \n",
"21 0.73 14.2 \n",
- "22 0.50 13.8 \n",
- "23 0.85 14.1 \n",
+ "22 0.48 13.7 \n",
+ "23 0.81 13.3 \n",
"24 2.02 19.9 \n",
- "25 0.74 15.1 \n",
- "26 0.77 15.1 \n",
- "27 2.00 18.9 \n",
- "28 0.50 10.7 \n",
+ "25 0.83 15.8 \n",
+ "26 0.71 13.8 \n",
+ "27 1.89 18.9 \n",
+ "28 0.57 10.9 \n",
"29 1.74 15.7 \n",
"30 2.47 17.0 \n",
"\n",
@@ -1687,577 +1687,577 @@
" 0 \n",
" Atalanta \n",
" 24.0 \n",
- " 49.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 49.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 38.0 \n",
" 27.0 \n",
" 6.0 \n",
" 8.0 \n",
" ... \n",
- " 248.0 \n",
- " 207.0 \n",
- " 28.0 \n",
+ " 261.0 \n",
+ " 217.0 \n",
+ " 30.0 \n",
" 6.0 \n",
" 1.0 \n",
" 1.0 \n",
- " 1175.0 \n",
- " 303.0 \n",
- " 248.0 \n",
- " 55.0 \n",
+ " 1220.0 \n",
+ " 317.0 \n",
+ " 260.0 \n",
+ " 54.9 \n",
" \n",
" \n",
" 1 \n",
" Bologna \n",
- " 24.0 \n",
- " 52.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
" 25.0 \n",
- " 19.0 \n",
- " 3.0 \n",
- " 3.0 \n",
+ " 51.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 27.0 \n",
+ " 20.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
" ... \n",
- " 242.0 \n",
- " 238.0 \n",
- " 41.0 \n",
+ " 267.0 \n",
+ " 247.0 \n",
+ " 42.0 \n",
" 3.0 \n",
" 5.0 \n",
" 2.0 \n",
- " 1104.0 \n",
- " 180.0 \n",
- " 224.0 \n",
- " 44.6 \n",
+ " 1160.0 \n",
+ " 193.0 \n",
+ " 239.0 \n",
+ " 44.7 \n",
" \n",
" \n",
" 2 \n",
" Cremonese \n",
- " 29.0 \n",
- " 43.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 30.0 \n",
+ " 44.2 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 7.0 \n",
" 2.0 \n",
" 4.0 \n",
" ... \n",
- " 264.0 \n",
- " 204.0 \n",
- " 44.0 \n",
+ " 276.0 \n",
+ " 218.0 \n",
+ " 46.0 \n",
" 3.0 \n",
" 4.0 \n",
" 1.0 \n",
- " 1087.0 \n",
- " 273.0 \n",
- " 367.0 \n",
- " 42.7 \n",
+ " 1156.0 \n",
+ " 296.0 \n",
+ " 388.0 \n",
+ " 43.3 \n",
" \n",
" \n",
" 3 \n",
" Empoli \n",
- " 26.0 \n",
- " 46.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 27.0 \n",
+ " 46.8 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 19.0 \n",
" 11.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 234.0 \n",
- " 246.0 \n",
+ " 252.0 \n",
+ " 256.0 \n",
" 27.0 \n",
" 0.0 \n",
" 3.0 \n",
" 0.0 \n",
- " 954.0 \n",
- " 203.0 \n",
- " 231.0 \n",
- " 46.8 \n",
+ " 1001.0 \n",
+ " 211.0 \n",
+ " 242.0 \n",
+ " 46.6 \n",
" \n",
" \n",
" 4 \n",
" Fiorentina \n",
- " 27.0 \n",
- " 57.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 22.0 \n",
- " 17.0 \n",
+ " 28.0 \n",
+ " 57.3 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 23.0 \n",
+ " 18.0 \n",
" 2.0 \n",
" 4.0 \n",
" ... \n",
- " 261.0 \n",
- " 260.0 \n",
- " 27.0 \n",
- " 2.0 \n",
+ " 271.0 \n",
+ " 285.0 \n",
+ " 30.0 \n",
" 2.0 \n",
+ " 3.0 \n",
" 1.0 \n",
- " 1066.0 \n",
- " 302.0 \n",
- " 261.0 \n",
+ " 1130.0 \n",
+ " 317.0 \n",
+ " 274.0 \n",
" 53.6 \n",
" \n",
" \n",
" 5 \n",
" Hellas Verona \n",
- " 32.0 \n",
- " 43.5 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 16.0 \n",
- " 13.0 \n",
+ " 34.0 \n",
+ " 43.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 17.0 \n",
+ " 14.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 296.0 \n",
- " 193.0 \n",
+ " 312.0 \n",
+ " 203.0 \n",
" 45.0 \n",
" 0.0 \n",
" 1.0 \n",
" 1.0 \n",
- " 1202.0 \n",
- " 411.0 \n",
- " 362.0 \n",
- " 53.2 \n",
+ " 1274.0 \n",
+ " 422.0 \n",
+ " 385.0 \n",
+ " 52.3 \n",
" \n",
" \n",
" 6 \n",
" Inter \n",
" 23.0 \n",
- " 53.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 39.0 \n",
- " 26.0 \n",
+ " 54.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 40.0 \n",
+ " 27.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 245.0 \n",
- " 236.0 \n",
- " 35.0 \n",
+ " 258.0 \n",
+ " 250.0 \n",
+ " 37.0 \n",
" 1.0 \n",
" 2.0 \n",
" 2.0 \n",
- " 1014.0 \n",
- " 251.0 \n",
- " 204.0 \n",
- " 55.2 \n",
+ " 1068.0 \n",
+ " 266.0 \n",
+ " 221.0 \n",
+ " 54.6 \n",
" \n",
" \n",
" 7 \n",
" Juventus \n",
" 26.0 \n",
- " 49.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 30.0 \n",
- " 23.0 \n",
- " 2.0 \n",
+ " 49.2 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 33.0 \n",
+ " 25.0 \n",
" 3.0 \n",
+ " 4.0 \n",
" ... \n",
- " 239.0 \n",
- " 208.0 \n",
- " 30.0 \n",
- " 3.0 \n",
+ " 251.0 \n",
+ " 217.0 \n",
+ " 33.0 \n",
+ " 4.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 1030.0 \n",
+ " 1089.0 \n",
+ " 257.0 \n",
" 247.0 \n",
- " 240.0 \n",
- " 50.7 \n",
+ " 51.0 \n",
" \n",
" \n",
" 8 \n",
" Lazio \n",
" 21.0 \n",
- " 50.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 35.0 \n",
- " 25.0 \n",
+ " 51.4 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 36.0 \n",
+ " 26.0 \n",
" 3.0 \n",
" 4.0 \n",
" ... \n",
- " 206.0 \n",
- " 266.0 \n",
- " 27.0 \n",
+ " 218.0 \n",
+ " 282.0 \n",
+ " 29.0 \n",
" 2.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 1035.0 \n",
- " 193.0 \n",
- " 196.0 \n",
- " 49.6 \n",
+ " 1112.0 \n",
+ " 216.0 \n",
+ " 207.0 \n",
+ " 51.1 \n",
" \n",
" \n",
" 9 \n",
" Lecce \n",
" 26.0 \n",
- " 42.5 \n",
+ " 42.4 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 18.0 \n",
- " 12.0 \n",
+ " 14.0 \n",
" 1.0 \n",
" 2.0 \n",
" ... \n",
- " 283.0 \n",
- " 254.0 \n",
- " 36.0 \n",
+ " 298.0 \n",
+ " 264.0 \n",
+ " 37.0 \n",
" 2.0 \n",
" 3.0 \n",
" 1.0 \n",
- " 1097.0 \n",
- " 295.0 \n",
- " 373.0 \n",
- " 44.2 \n",
+ " 1159.0 \n",
+ " 316.0 \n",
+ " 396.0 \n",
+ " 44.4 \n",
" \n",
" \n",
" 10 \n",
" Milan \n",
" 27.0 \n",
- " 54.8 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 53.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 35.0 \n",
" 30.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 249.0 \n",
- " 231.0 \n",
- " 35.0 \n",
+ " 263.0 \n",
+ " 244.0 \n",
+ " 36.0 \n",
" 1.0 \n",
" 4.0 \n",
" 1.0 \n",
- " 1072.0 \n",
- " 288.0 \n",
- " 234.0 \n",
- " 55.2 \n",
+ " 1118.0 \n",
+ " 305.0 \n",
+ " 249.0 \n",
+ " 55.1 \n",
" \n",
" \n",
" 11 \n",
" Monza \n",
" 29.0 \n",
- " 55.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 24.0 \n",
- " 15.0 \n",
- " 3.0 \n",
- " 3.0 \n",
+ " 55.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 26.0 \n",
+ " 16.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
" ... \n",
- " 258.0 \n",
- " 273.0 \n",
+ " 270.0 \n",
+ " 284.0 \n",
" 40.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 1.0 \n",
- " 966.0 \n",
- " 225.0 \n",
- " 214.0 \n",
- " 51.3 \n",
+ " 1017.0 \n",
+ " 241.0 \n",
+ " 226.0 \n",
+ " 51.6 \n",
" \n",
" \n",
" 12 \n",
" Napoli \n",
" 24.0 \n",
- " 61.0 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 48.0 \n",
- " 39.0 \n",
- " 4.0 \n",
+ " 61.4 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 51.0 \n",
+ " 40.0 \n",
" 5.0 \n",
+ " 6.0 \n",
" ... \n",
- " 187.0 \n",
- " 254.0 \n",
- " 33.0 \n",
+ " 205.0 \n",
+ " 272.0 \n",
+ " 37.0 \n",
" 4.0 \n",
" 2.0 \n",
" 0.0 \n",
- " 1079.0 \n",
- " 244.0 \n",
- " 210.0 \n",
- " 53.7 \n",
+ " 1122.0 \n",
+ " 259.0 \n",
+ " 214.0 \n",
+ " 54.8 \n",
" \n",
" \n",
" 13 \n",
" Roma \n",
- " 25.0 \n",
- " 49.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
" 26.0 \n",
- " 17.0 \n",
+ " 48.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 28.0 \n",
+ " 19.0 \n",
" 3.0 \n",
" 5.0 \n",
" ... \n",
- " 243.0 \n",
- " 257.0 \n",
- " 32.0 \n",
+ " 253.0 \n",
+ " 275.0 \n",
+ " 35.0 \n",
" 4.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 1063.0 \n",
- " 234.0 \n",
- " 197.0 \n",
- " 54.3 \n",
+ " 1105.0 \n",
+ " 245.0 \n",
+ " 205.0 \n",
+ " 54.4 \n",
" \n",
" \n",
" 14 \n",
" Salernitana \n",
" 28.0 \n",
- " 44.8 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 45.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 24.0 \n",
" 16.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 242.0 \n",
- " 207.0 \n",
+ " 251.0 \n",
+ " 218.0 \n",
" 42.0 \n",
" 0.0 \n",
- " 7.0 \n",
+ " 8.0 \n",
" 0.0 \n",
- " 1034.0 \n",
- " 240.0 \n",
- " 258.0 \n",
- " 48.2 \n",
+ " 1091.0 \n",
+ " 247.0 \n",
+ " 268.0 \n",
+ " 48.0 \n",
" \n",
" \n",
" 15 \n",
" Sampdoria \n",
- " 30.0 \n",
- " 48.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 31.0 \n",
+ " 47.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 10.0 \n",
" 8.0 \n",
- " 7.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 289.0 \n",
- " 307.0 \n",
+ " 301.0 \n",
+ " 319.0 \n",
" 40.0 \n",
" 0.0 \n",
- " 5.0 \n",
+ " 6.0 \n",
" 2.0 \n",
- " 1017.0 \n",
- " 327.0 \n",
- " 324.0 \n",
- " 50.2 \n",
+ " 1069.0 \n",
+ " 339.0 \n",
+ " 340.0 \n",
+ " 49.9 \n",
" \n",
" \n",
" 16 \n",
" Sassuolo \n",
- " 27.0 \n",
- " 48.3 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 23.0 \n",
- " 17.0 \n",
+ " 29.0 \n",
+ " 48.5 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 24.0 \n",
+ " 18.0 \n",
" 4.0 \n",
" 5.0 \n",
" ... \n",
- " 207.0 \n",
- " 247.0 \n",
+ " 219.0 \n",
+ " 259.0 \n",
" 19.0 \n",
" 4.0 \n",
" 4.0 \n",
" 0.0 \n",
- " 909.0 \n",
- " 183.0 \n",
- " 229.0 \n",
- " 44.4 \n",
+ " 956.0 \n",
+ " 195.0 \n",
+ " 243.0 \n",
+ " 44.5 \n",
" \n",
" \n",
" 17 \n",
" Spezia \n",
- " 30.0 \n",
- " 46.7 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 33.0 \n",
+ " 45.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 10.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 281.0 \n",
- " 193.0 \n",
- " 37.0 \n",
- " 1.0 \n",
+ " 300.0 \n",
+ " 211.0 \n",
+ " 38.0 \n",
" 1.0 \n",
+ " 2.0 \n",
" 0.0 \n",
- " 1136.0 \n",
- " 281.0 \n",
- " 322.0 \n",
- " 46.6 \n",
+ " 1190.0 \n",
+ " 285.0 \n",
+ " 337.0 \n",
+ " 45.8 \n",
" \n",
" \n",
" 18 \n",
" Torino \n",
- " 24.0 \n",
- " 52.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.0 \n",
+ " 53.0 \n",
" 21.0 \n",
- " 16.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 22.0 \n",
+ " 17.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 286.0 \n",
- " 207.0 \n",
- " 47.0 \n",
+ " 299.0 \n",
+ " 214.0 \n",
+ " 50.0 \n",
" 1.0 \n",
" 4.0 \n",
" 0.0 \n",
- " 1065.0 \n",
- " 309.0 \n",
- " 337.0 \n",
- " 47.8 \n",
+ " 1118.0 \n",
+ " 319.0 \n",
+ " 347.0 \n",
+ " 47.9 \n",
" \n",
" \n",
" 19 \n",
" Udinese \n",
- " 23.0 \n",
- " 50.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.0 \n",
+ " 50.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 27.0 \n",
" 23.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 243.0 \n",
- " 248.0 \n",
- " 33.0 \n",
+ " 251.0 \n",
+ " 261.0 \n",
+ " 34.0 \n",
" 0.0 \n",
" 2.0 \n",
" 1.0 \n",
- " 1047.0 \n",
- " 254.0 \n",
- " 212.0 \n",
- " 54.5 \n",
+ " 1097.0 \n",
+ " 264.0 \n",
+ " 222.0 \n",
+ " 54.3 \n",
" \n",
" \n",
"\n",
- "20 rows × 161 columns
\n",
+ "20 rows × 152 columns
\n",
""
],
"text/plain": [
" team players_used possession games games_starts minutes \\\n",
- "0 Atalanta 24.0 49.1 20.0 220.0 1800.0 \n",
- "1 Bologna 24.0 52.6 20.0 220.0 1800.0 \n",
- "2 Cremonese 29.0 43.6 20.0 220.0 1800.0 \n",
- "3 Empoli 26.0 46.4 20.0 220.0 1800.0 \n",
- "4 Fiorentina 27.0 57.1 20.0 220.0 1800.0 \n",
- "5 Hellas Verona 32.0 43.5 20.0 220.0 1800.0 \n",
- "6 Inter 23.0 53.6 20.0 220.0 1800.0 \n",
- "7 Juventus 26.0 49.4 20.0 220.0 1800.0 \n",
- "8 Lazio 21.0 50.9 20.0 220.0 1800.0 \n",
- "9 Lecce 26.0 42.5 20.0 220.0 1800.0 \n",
- "10 Milan 27.0 54.8 20.0 220.0 1800.0 \n",
- "11 Monza 29.0 55.1 20.0 220.0 1800.0 \n",
- "12 Napoli 24.0 61.0 20.0 220.0 1800.0 \n",
- "13 Roma 25.0 49.1 20.0 220.0 1800.0 \n",
- "14 Salernitana 28.0 44.8 20.0 220.0 1800.0 \n",
- "15 Sampdoria 30.0 48.9 20.0 220.0 1800.0 \n",
- "16 Sassuolo 27.0 48.3 20.0 220.0 1800.0 \n",
- "17 Spezia 30.0 46.7 20.0 220.0 1800.0 \n",
- "18 Torino 24.0 52.9 20.0 220.0 1800.0 \n",
- "19 Udinese 23.0 50.4 20.0 220.0 1800.0 \n",
+ "0 Atalanta 24.0 49.0 21.0 231.0 1890.0 \n",
+ "1 Bologna 25.0 51.9 21.0 231.0 1890.0 \n",
+ "2 Cremonese 30.0 44.2 21.0 231.0 1890.0 \n",
+ "3 Empoli 27.0 46.8 21.0 231.0 1890.0 \n",
+ "4 Fiorentina 28.0 57.3 21.0 231.0 1890.0 \n",
+ "5 Hellas Verona 34.0 43.1 21.0 231.0 1890.0 \n",
+ "6 Inter 23.0 54.0 21.0 231.0 1890.0 \n",
+ "7 Juventus 26.0 49.2 21.0 231.0 1890.0 \n",
+ "8 Lazio 21.0 51.4 21.0 231.0 1890.0 \n",
+ "9 Lecce 26.0 42.4 21.0 231.0 1890.0 \n",
+ "10 Milan 27.0 53.9 21.0 231.0 1890.0 \n",
+ "11 Monza 29.0 55.9 21.0 231.0 1890.0 \n",
+ "12 Napoli 24.0 61.4 21.0 231.0 1890.0 \n",
+ "13 Roma 26.0 48.9 21.0 231.0 1890.0 \n",
+ "14 Salernitana 28.0 45.1 21.0 231.0 1890.0 \n",
+ "15 Sampdoria 31.0 47.9 21.0 231.0 1890.0 \n",
+ "16 Sassuolo 29.0 48.5 21.0 231.0 1890.0 \n",
+ "17 Spezia 33.0 45.9 21.0 231.0 1890.0 \n",
+ "18 Torino 25.0 53.0 21.0 231.0 1890.0 \n",
+ "19 Udinese 25.0 50.0 21.0 231.0 1890.0 \n",
"\n",
" goals assists pens_made pens_att ... fouls fouled offsides \\\n",
- "0 38.0 27.0 6.0 8.0 ... 248.0 207.0 28.0 \n",
- "1 25.0 19.0 3.0 3.0 ... 242.0 238.0 41.0 \n",
- "2 15.0 7.0 2.0 4.0 ... 264.0 204.0 44.0 \n",
- "3 19.0 11.0 0.0 0.0 ... 234.0 246.0 27.0 \n",
- "4 22.0 17.0 2.0 4.0 ... 261.0 260.0 27.0 \n",
- "5 16.0 13.0 0.0 0.0 ... 296.0 193.0 45.0 \n",
- "6 39.0 26.0 2.0 2.0 ... 245.0 236.0 35.0 \n",
- "7 30.0 23.0 2.0 3.0 ... 239.0 208.0 30.0 \n",
- "8 35.0 25.0 3.0 4.0 ... 206.0 266.0 27.0 \n",
- "9 18.0 12.0 1.0 2.0 ... 283.0 254.0 36.0 \n",
- "10 35.0 30.0 2.0 2.0 ... 249.0 231.0 35.0 \n",
- "11 24.0 15.0 3.0 3.0 ... 258.0 273.0 40.0 \n",
- "12 48.0 39.0 4.0 5.0 ... 187.0 254.0 33.0 \n",
- "13 26.0 17.0 3.0 5.0 ... 243.0 257.0 32.0 \n",
- "14 24.0 16.0 1.0 1.0 ... 242.0 207.0 42.0 \n",
- "15 8.0 7.0 0.0 0.0 ... 289.0 307.0 40.0 \n",
- "16 23.0 17.0 4.0 5.0 ... 207.0 247.0 19.0 \n",
- "17 15.0 10.0 2.0 2.0 ... 281.0 193.0 37.0 \n",
- "18 21.0 16.0 1.0 1.0 ... 286.0 207.0 47.0 \n",
- "19 27.0 23.0 0.0 0.0 ... 243.0 248.0 33.0 \n",
+ "0 38.0 27.0 6.0 8.0 ... 261.0 217.0 30.0 \n",
+ "1 27.0 20.0 4.0 4.0 ... 267.0 247.0 42.0 \n",
+ "2 15.0 7.0 2.0 4.0 ... 276.0 218.0 46.0 \n",
+ "3 19.0 11.0 0.0 0.0 ... 252.0 256.0 27.0 \n",
+ "4 23.0 18.0 2.0 4.0 ... 271.0 285.0 30.0 \n",
+ "5 17.0 14.0 0.0 0.0 ... 312.0 203.0 45.0 \n",
+ "6 40.0 27.0 2.0 2.0 ... 258.0 250.0 37.0 \n",
+ "7 33.0 25.0 3.0 4.0 ... 251.0 217.0 33.0 \n",
+ "8 36.0 26.0 3.0 4.0 ... 218.0 282.0 29.0 \n",
+ "9 20.0 14.0 1.0 2.0 ... 298.0 264.0 37.0 \n",
+ "10 35.0 30.0 2.0 2.0 ... 263.0 244.0 36.0 \n",
+ "11 26.0 16.0 4.0 4.0 ... 270.0 284.0 40.0 \n",
+ "12 51.0 40.0 5.0 6.0 ... 205.0 272.0 37.0 \n",
+ "13 28.0 19.0 3.0 5.0 ... 253.0 275.0 35.0 \n",
+ "14 24.0 16.0 1.0 1.0 ... 251.0 218.0 42.0 \n",
+ "15 10.0 8.0 0.0 0.0 ... 301.0 319.0 40.0 \n",
+ "16 24.0 18.0 4.0 5.0 ... 219.0 259.0 19.0 \n",
+ "17 15.0 10.0 2.0 2.0 ... 300.0 211.0 38.0 \n",
+ "18 22.0 17.0 1.0 1.0 ... 299.0 214.0 50.0 \n",
+ "19 27.0 23.0 0.0 0.0 ... 251.0 261.0 34.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 6.0 1.0 1.0 1175.0 303.0 \n",
- "1 3.0 5.0 2.0 1104.0 180.0 \n",
- "2 3.0 4.0 1.0 1087.0 273.0 \n",
- "3 0.0 3.0 0.0 954.0 203.0 \n",
- "4 2.0 2.0 1.0 1066.0 302.0 \n",
- "5 0.0 1.0 1.0 1202.0 411.0 \n",
- "6 1.0 2.0 2.0 1014.0 251.0 \n",
- "7 3.0 2.0 0.0 1030.0 247.0 \n",
- "8 2.0 1.0 0.0 1035.0 193.0 \n",
- "9 2.0 3.0 1.0 1097.0 295.0 \n",
- "10 1.0 4.0 1.0 1072.0 288.0 \n",
- "11 3.0 0.0 1.0 966.0 225.0 \n",
- "12 4.0 2.0 0.0 1079.0 244.0 \n",
- "13 4.0 0.0 0.0 1063.0 234.0 \n",
- "14 0.0 7.0 0.0 1034.0 240.0 \n",
- "15 0.0 5.0 2.0 1017.0 327.0 \n",
- "16 4.0 4.0 0.0 909.0 183.0 \n",
- "17 1.0 1.0 0.0 1136.0 281.0 \n",
- "18 1.0 4.0 0.0 1065.0 309.0 \n",
- "19 0.0 2.0 1.0 1047.0 254.0 \n",
+ "0 6.0 1.0 1.0 1220.0 317.0 \n",
+ "1 3.0 5.0 2.0 1160.0 193.0 \n",
+ "2 3.0 4.0 1.0 1156.0 296.0 \n",
+ "3 0.0 3.0 0.0 1001.0 211.0 \n",
+ "4 2.0 3.0 1.0 1130.0 317.0 \n",
+ "5 0.0 1.0 1.0 1274.0 422.0 \n",
+ "6 1.0 2.0 2.0 1068.0 266.0 \n",
+ "7 4.0 2.0 0.0 1089.0 257.0 \n",
+ "8 2.0 1.0 0.0 1112.0 216.0 \n",
+ "9 2.0 3.0 1.0 1159.0 316.0 \n",
+ "10 1.0 4.0 1.0 1118.0 305.0 \n",
+ "11 4.0 0.0 1.0 1017.0 241.0 \n",
+ "12 4.0 2.0 0.0 1122.0 259.0 \n",
+ "13 4.0 0.0 0.0 1105.0 245.0 \n",
+ "14 0.0 8.0 0.0 1091.0 247.0 \n",
+ "15 0.0 6.0 2.0 1069.0 339.0 \n",
+ "16 4.0 4.0 0.0 956.0 195.0 \n",
+ "17 1.0 2.0 0.0 1190.0 285.0 \n",
+ "18 1.0 4.0 0.0 1118.0 319.0 \n",
+ "19 0.0 2.0 1.0 1097.0 264.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 248.0 55.0 \n",
- "1 224.0 44.6 \n",
- "2 367.0 42.7 \n",
- "3 231.0 46.8 \n",
- "4 261.0 53.6 \n",
- "5 362.0 53.2 \n",
- "6 204.0 55.2 \n",
- "7 240.0 50.7 \n",
- "8 196.0 49.6 \n",
- "9 373.0 44.2 \n",
- "10 234.0 55.2 \n",
- "11 214.0 51.3 \n",
- "12 210.0 53.7 \n",
- "13 197.0 54.3 \n",
- "14 258.0 48.2 \n",
- "15 324.0 50.2 \n",
- "16 229.0 44.4 \n",
- "17 322.0 46.6 \n",
- "18 337.0 47.8 \n",
- "19 212.0 54.5 \n",
+ "0 260.0 54.9 \n",
+ "1 239.0 44.7 \n",
+ "2 388.0 43.3 \n",
+ "3 242.0 46.6 \n",
+ "4 274.0 53.6 \n",
+ "5 385.0 52.3 \n",
+ "6 221.0 54.6 \n",
+ "7 247.0 51.0 \n",
+ "8 207.0 51.1 \n",
+ "9 396.0 44.4 \n",
+ "10 249.0 55.1 \n",
+ "11 226.0 51.6 \n",
+ "12 214.0 54.8 \n",
+ "13 205.0 54.4 \n",
+ "14 268.0 48.0 \n",
+ "15 340.0 49.9 \n",
+ "16 243.0 44.5 \n",
+ "17 337.0 45.8 \n",
+ "18 347.0 47.9 \n",
+ "19 222.0 54.3 \n",
"\n",
- "[20 rows x 161 columns]"
+ "[20 rows x 152 columns]"
]
},
"execution_count": 5,
@@ -2329,576 +2329,576 @@
" vs Atalanta \n",
" 24.0 \n",
" 51.0 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 22.0 \n",
- " 16.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 23.0 \n",
+ " 17.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 220.0 \n",
" 232.0 \n",
+ " 244.0 \n",
" 26.0 \n",
" 1.0 \n",
" 8.0 \n",
" 1.0 \n",
- " 1214.0 \n",
- " 248.0 \n",
- " 303.0 \n",
- " 45.0 \n",
+ " 1261.0 \n",
+ " 260.0 \n",
+ " 317.0 \n",
+ " 45.1 \n",
" \n",
" \n",
" 1 \n",
" vs Bologna \n",
- " 24.0 \n",
- " 47.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 28.0 \n",
- " 16.0 \n",
+ " 25.0 \n",
+ " 48.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 29.0 \n",
+ " 17.0 \n",
" 5.0 \n",
" 5.0 \n",
" ... \n",
- " 252.0 \n",
- " 229.0 \n",
- " 33.0 \n",
- " 3.0 \n",
+ " 262.0 \n",
+ " 254.0 \n",
+ " 36.0 \n",
" 3.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 1081.0 \n",
- " 224.0 \n",
- " 180.0 \n",
- " 55.4 \n",
+ " 1145.0 \n",
+ " 239.0 \n",
+ " 193.0 \n",
+ " 55.3 \n",
" \n",
" \n",
" 2 \n",
" vs Cremonese \n",
- " 29.0 \n",
- " 56.5 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 34.0 \n",
+ " 30.0 \n",
+ " 55.8 \n",
" 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 36.0 \n",
+ " 23.0 \n",
" 4.0 \n",
" 4.0 \n",
" ... \n",
- " 217.0 \n",
- " 254.0 \n",
- " 32.0 \n",
+ " 232.0 \n",
+ " 264.0 \n",
+ " 33.0 \n",
" 3.0 \n",
" 4.0 \n",
" 0.0 \n",
- " 1106.0 \n",
- " 367.0 \n",
- " 273.0 \n",
- " 57.3 \n",
+ " 1168.0 \n",
+ " 388.0 \n",
+ " 296.0 \n",
+ " 56.7 \n",
" \n",
" \n",
" 3 \n",
" vs Empoli \n",
+ " 27.0 \n",
+ " 53.2 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 26.0 \n",
- " 53.7 \n",
" 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 24.0 \n",
- " 18.0 \n",
" 1.0 \n",
" 3.0 \n",
" ... \n",
- " 260.0 \n",
- " 226.0 \n",
- " 32.0 \n",
+ " 270.0 \n",
+ " 244.0 \n",
+ " 35.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 1062.0 \n",
- " 231.0 \n",
- " 203.0 \n",
- " 53.2 \n",
+ " 1104.0 \n",
+ " 242.0 \n",
+ " 211.0 \n",
+ " 53.4 \n",
" \n",
" \n",
" 4 \n",
" vs Fiorentina \n",
+ " 28.0 \n",
+ " 42.7 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 27.0 \n",
- " 42.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 25.0 \n",
- " 18.0 \n",
- " 2.0 \n",
- " 2.0 \n",
+ " 19.0 \n",
+ " 3.0 \n",
+ " 3.0 \n",
" ... \n",
- " 271.0 \n",
- " 243.0 \n",
- " 53.0 \n",
+ " 296.0 \n",
+ " 252.0 \n",
+ " 54.0 \n",
" 1.0 \n",
" 4.0 \n",
" 0.0 \n",
- " 1005.0 \n",
- " 261.0 \n",
- " 302.0 \n",
+ " 1061.0 \n",
+ " 274.0 \n",
+ " 317.0 \n",
" 46.4 \n",
" \n",
" \n",
" 5 \n",
" vs Hellas Verona \n",
+ " 34.0 \n",
+ " 56.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 32.0 \n",
- " 56.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 31.0 \n",
- " 29.0 \n",
+ " 30.0 \n",
" 0.0 \n",
" 1.0 \n",
" ... \n",
- " 201.0 \n",
- " 286.0 \n",
- " 22.0 \n",
+ " 213.0 \n",
+ " 302.0 \n",
+ " 24.0 \n",
" 1.0 \n",
" 0.0 \n",
" 2.0 \n",
- " 1096.0 \n",
- " 362.0 \n",
- " 411.0 \n",
- " 46.8 \n",
+ " 1173.0 \n",
+ " 385.0 \n",
+ " 422.0 \n",
+ " 47.7 \n",
" \n",
" \n",
" 6 \n",
" vs Inter \n",
" 23.0 \n",
- " 46.5 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 46.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 24.0 \n",
" 21.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 249.0 \n",
- " 224.0 \n",
- " 18.0 \n",
+ " 263.0 \n",
+ " 237.0 \n",
+ " 19.0 \n",
" 2.0 \n",
" 2.0 \n",
" 1.0 \n",
- " 914.0 \n",
- " 204.0 \n",
- " 251.0 \n",
- " 44.8 \n",
+ " 960.0 \n",
+ " 221.0 \n",
+ " 266.0 \n",
+ " 45.4 \n",
" \n",
" \n",
" 7 \n",
" vs Juventus \n",
" 26.0 \n",
- " 50.7 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 50.8 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 17.0 \n",
" 14.0 \n",
" 1.0 \n",
" 2.0 \n",
" ... \n",
- " 220.0 \n",
- " 221.0 \n",
+ " 229.0 \n",
+ " 232.0 \n",
" 27.0 \n",
" 0.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 0.0 \n",
- " 1007.0 \n",
- " 240.0 \n",
+ " 1064.0 \n",
" 247.0 \n",
- " 49.3 \n",
+ " 257.0 \n",
+ " 49.0 \n",
" \n",
" \n",
" 8 \n",
" vs Lazio \n",
" 21.0 \n",
- " 49.2 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 16.0 \n",
- " 11.0 \n",
+ " 48.6 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 17.0 \n",
+ " 12.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 278.0 \n",
- " 196.0 \n",
+ " 294.0 \n",
+ " 206.0 \n",
" 44.0 \n",
" 1.0 \n",
" 4.0 \n",
" 1.0 \n",
- " 1085.0 \n",
- " 196.0 \n",
- " 193.0 \n",
- " 50.4 \n",
+ " 1157.0 \n",
+ " 207.0 \n",
+ " 216.0 \n",
+ " 48.9 \n",
" \n",
" \n",
" 9 \n",
" vs Lecce \n",
" 26.0 \n",
" 57.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 23.0 \n",
" 16.0 \n",
" 3.0 \n",
" 3.0 \n",
" ... \n",
- " 263.0 \n",
- " 265.0 \n",
- " 43.0 \n",
+ " 275.0 \n",
+ " 279.0 \n",
+ " 45.0 \n",
" 3.0 \n",
" 2.0 \n",
" 1.0 \n",
- " 1072.0 \n",
- " 373.0 \n",
- " 295.0 \n",
- " 55.8 \n",
+ " 1141.0 \n",
+ " 396.0 \n",
+ " 316.0 \n",
+ " 55.6 \n",
" \n",
" \n",
" 10 \n",
" vs Milan \n",
" 27.0 \n",
- " 45.2 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 28.0 \n",
+ " 46.1 \n",
" 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 29.0 \n",
+ " 22.0 \n",
" 3.0 \n",
" 4.0 \n",
" ... \n",
- " 242.0 \n",
- " 237.0 \n",
- " 23.0 \n",
+ " 255.0 \n",
+ " 251.0 \n",
+ " 25.0 \n",
" 4.0 \n",
" 2.0 \n",
" 2.0 \n",
- " 1005.0 \n",
- " 234.0 \n",
- " 288.0 \n",
- " 44.8 \n",
+ " 1059.0 \n",
+ " 249.0 \n",
+ " 305.0 \n",
+ " 44.9 \n",
" \n",
" \n",
" 11 \n",
" vs Monza \n",
" 29.0 \n",
- " 45.0 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 27.0 \n",
+ " 44.1 \n",
" 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 29.0 \n",
+ " 22.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 291.0 \n",
- " 251.0 \n",
+ " 303.0 \n",
+ " 263.0 \n",
" 37.0 \n",
" 0.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 1023.0 \n",
- " 214.0 \n",
- " 225.0 \n",
- " 48.7 \n",
+ " 1075.0 \n",
+ " 226.0 \n",
+ " 241.0 \n",
+ " 48.4 \n",
" \n",
" \n",
" 12 \n",
" vs Napoli \n",
" 24.0 \n",
- " 39.0 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 38.6 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 10.0 \n",
" 1.0 \n",
" 2.0 \n",
" ... \n",
- " 272.0 \n",
- " 174.0 \n",
- " 27.0 \n",
+ " 291.0 \n",
+ " 192.0 \n",
+ " 28.0 \n",
" 1.0 \n",
- " 4.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 995.0 \n",
- " 210.0 \n",
- " 244.0 \n",
- " 46.3 \n",
+ " 1049.0 \n",
+ " 214.0 \n",
+ " 259.0 \n",
+ " 45.2 \n",
" \n",
" \n",
" 13 \n",
" vs Roma \n",
- " 25.0 \n",
- " 50.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 26.0 \n",
+ " 51.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 18.0 \n",
" 14.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 274.0 \n",
- " 228.0 \n",
+ " 292.0 \n",
+ " 238.0 \n",
" 10.0 \n",
" 0.0 \n",
" 5.0 \n",
" 0.0 \n",
- " 1048.0 \n",
- " 197.0 \n",
- " 234.0 \n",
- " 45.7 \n",
+ " 1095.0 \n",
+ " 205.0 \n",
+ " 245.0 \n",
+ " 45.6 \n",
" \n",
" \n",
" 14 \n",
" vs Salernitana \n",
" 28.0 \n",
- " 55.3 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 38.0 \n",
- " 23.0 \n",
- " 4.0 \n",
- " 7.0 \n",
+ " 54.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 41.0 \n",
+ " 25.0 \n",
+ " 5.0 \n",
+ " 8.0 \n",
" ... \n",
- " 226.0 \n",
- " 233.0 \n",
- " 49.0 \n",
- " 7.0 \n",
+ " 238.0 \n",
+ " 242.0 \n",
+ " 52.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 1.0 \n",
- " 1084.0 \n",
- " 258.0 \n",
- " 240.0 \n",
- " 51.8 \n",
+ " 1143.0 \n",
+ " 268.0 \n",
+ " 247.0 \n",
+ " 52.0 \n",
" \n",
" \n",
" 15 \n",
" vs Sampdoria \n",
- " 30.0 \n",
- " 51.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 32.0 \n",
- " 23.0 \n",
- " 4.0 \n",
- " 6.0 \n",
+ " 31.0 \n",
+ " 52.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 34.0 \n",
+ " 24.0 \n",
+ " 5.0 \n",
+ " 7.0 \n",
" ... \n",
- " 316.0 \n",
- " 277.0 \n",
+ " 328.0 \n",
+ " 288.0 \n",
" 56.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 1075.0 \n",
- " 324.0 \n",
- " 327.0 \n",
- " 49.8 \n",
+ " 1126.0 \n",
+ " 340.0 \n",
+ " 339.0 \n",
+ " 50.1 \n",
" \n",
" \n",
" 16 \n",
" vs Sassuolo \n",
- " 27.0 \n",
- " 51.8 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 29.0 \n",
+ " 51.5 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 31.0 \n",
" 22.0 \n",
" 4.0 \n",
" 4.0 \n",
" ... \n",
- " 262.0 \n",
- " 190.0 \n",
- " 67.0 \n",
+ " 275.0 \n",
+ " 200.0 \n",
+ " 69.0 \n",
" 2.0 \n",
" 5.0 \n",
" 0.0 \n",
- " 1043.0 \n",
- " 229.0 \n",
- " 183.0 \n",
- " 55.6 \n",
+ " 1088.0 \n",
+ " 243.0 \n",
+ " 195.0 \n",
+ " 55.5 \n",
" \n",
" \n",
" 17 \n",
" vs Spezia \n",
- " 30.0 \n",
- " 53.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 32.0 \n",
- " 27.0 \n",
- " 0.0 \n",
+ " 33.0 \n",
+ " 54.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 35.0 \n",
+ " 28.0 \n",
" 1.0 \n",
+ " 2.0 \n",
" ... \n",
- " 207.0 \n",
- " 261.0 \n",
- " 46.0 \n",
+ " 225.0 \n",
+ " 279.0 \n",
+ " 50.0 \n",
" 1.0 \n",
" 2.0 \n",
" 2.0 \n",
- " 1182.0 \n",
- " 322.0 \n",
- " 281.0 \n",
- " 53.4 \n",
+ " 1225.0 \n",
+ " 337.0 \n",
+ " 285.0 \n",
+ " 54.2 \n",
" \n",
" \n",
" 18 \n",
" vs Torino \n",
- " 24.0 \n",
- " 47.2 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.0 \n",
+ " 47.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 22.0 \n",
" 14.0 \n",
" 3.0 \n",
" 4.0 \n",
" ... \n",
- " 221.0 \n",
- " 274.0 \n",
- " 22.0 \n",
+ " 229.0 \n",
+ " 287.0 \n",
+ " 23.0 \n",
" 3.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 1045.0 \n",
- " 337.0 \n",
- " 309.0 \n",
- " 52.2 \n",
+ " 1095.0 \n",
+ " 347.0 \n",
+ " 319.0 \n",
+ " 52.1 \n",
" \n",
" \n",
" 19 \n",
" vs Udinese \n",
- " 23.0 \n",
- " 49.7 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.0 \n",
+ " 50.0 \n",
" 21.0 \n",
- " 15.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 22.0 \n",
+ " 16.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 261.0 \n",
- " 235.0 \n",
- " 31.0 \n",
+ " 274.0 \n",
+ " 242.0 \n",
+ " 34.0 \n",
" 2.0 \n",
" 0.0 \n",
" 1.0 \n",
- " 1010.0 \n",
- " 212.0 \n",
- " 254.0 \n",
- " 45.5 \n",
+ " 1063.0 \n",
+ " 222.0 \n",
+ " 264.0 \n",
+ " 45.7 \n",
" \n",
" \n",
"\n",
- "20 rows × 161 columns
\n",
+ "20 rows × 152 columns
\n",
""
],
"text/plain": [
" team players_used possession games games_starts minutes \\\n",
- "0 vs Atalanta 24.0 51.0 20.0 220.0 1800.0 \n",
- "1 vs Bologna 24.0 47.4 20.0 220.0 1800.0 \n",
- "2 vs Cremonese 29.0 56.5 20.0 220.0 1800.0 \n",
- "3 vs Empoli 26.0 53.7 20.0 220.0 1800.0 \n",
- "4 vs Fiorentina 27.0 42.9 20.0 220.0 1800.0 \n",
- "5 vs Hellas Verona 32.0 56.6 20.0 220.0 1800.0 \n",
- "6 vs Inter 23.0 46.5 20.0 220.0 1800.0 \n",
- "7 vs Juventus 26.0 50.7 20.0 220.0 1800.0 \n",
- "8 vs Lazio 21.0 49.2 20.0 220.0 1800.0 \n",
- "9 vs Lecce 26.0 57.6 20.0 220.0 1800.0 \n",
- "10 vs Milan 27.0 45.2 20.0 220.0 1800.0 \n",
- "11 vs Monza 29.0 45.0 20.0 220.0 1800.0 \n",
- "12 vs Napoli 24.0 39.0 20.0 220.0 1800.0 \n",
- "13 vs Roma 25.0 50.9 20.0 220.0 1800.0 \n",
- "14 vs Salernitana 28.0 55.3 20.0 220.0 1800.0 \n",
- "15 vs Sampdoria 30.0 51.1 20.0 220.0 1800.0 \n",
- "16 vs Sassuolo 27.0 51.8 20.0 220.0 1800.0 \n",
- "17 vs Spezia 30.0 53.4 20.0 220.0 1800.0 \n",
- "18 vs Torino 24.0 47.2 20.0 220.0 1800.0 \n",
- "19 vs Udinese 23.0 49.7 20.0 220.0 1800.0 \n",
+ "0 vs Atalanta 24.0 51.0 21.0 231.0 1890.0 \n",
+ "1 vs Bologna 25.0 48.1 21.0 231.0 1890.0 \n",
+ "2 vs Cremonese 30.0 55.8 21.0 231.0 1890.0 \n",
+ "3 vs Empoli 27.0 53.2 21.0 231.0 1890.0 \n",
+ "4 vs Fiorentina 28.0 42.7 21.0 231.0 1890.0 \n",
+ "5 vs Hellas Verona 34.0 56.9 21.0 231.0 1890.0 \n",
+ "6 vs Inter 23.0 46.0 21.0 231.0 1890.0 \n",
+ "7 vs Juventus 26.0 50.8 21.0 231.0 1890.0 \n",
+ "8 vs Lazio 21.0 48.6 21.0 231.0 1890.0 \n",
+ "9 vs Lecce 26.0 57.6 21.0 231.0 1890.0 \n",
+ "10 vs Milan 27.0 46.1 21.0 231.0 1890.0 \n",
+ "11 vs Monza 29.0 44.1 21.0 231.0 1890.0 \n",
+ "12 vs Napoli 24.0 38.6 21.0 231.0 1890.0 \n",
+ "13 vs Roma 26.0 51.1 21.0 231.0 1890.0 \n",
+ "14 vs Salernitana 28.0 54.9 21.0 231.0 1890.0 \n",
+ "15 vs Sampdoria 31.0 52.1 21.0 231.0 1890.0 \n",
+ "16 vs Sassuolo 29.0 51.5 21.0 231.0 1890.0 \n",
+ "17 vs Spezia 33.0 54.1 21.0 231.0 1890.0 \n",
+ "18 vs Torino 25.0 47.0 21.0 231.0 1890.0 \n",
+ "19 vs Udinese 25.0 50.0 21.0 231.0 1890.0 \n",
"\n",
" goals assists pens_made pens_att ... fouls fouled offsides \\\n",
- "0 22.0 16.0 1.0 1.0 ... 220.0 232.0 26.0 \n",
- "1 28.0 16.0 5.0 5.0 ... 252.0 229.0 33.0 \n",
- "2 34.0 21.0 4.0 4.0 ... 217.0 254.0 32.0 \n",
- "3 24.0 18.0 1.0 3.0 ... 260.0 226.0 32.0 \n",
- "4 25.0 18.0 2.0 2.0 ... 271.0 243.0 53.0 \n",
- "5 31.0 29.0 0.0 1.0 ... 201.0 286.0 22.0 \n",
- "6 24.0 21.0 2.0 2.0 ... 249.0 224.0 18.0 \n",
- "7 17.0 14.0 1.0 2.0 ... 220.0 221.0 27.0 \n",
- "8 16.0 11.0 1.0 1.0 ... 278.0 196.0 44.0 \n",
- "9 23.0 16.0 3.0 3.0 ... 263.0 265.0 43.0 \n",
- "10 28.0 21.0 3.0 4.0 ... 242.0 237.0 23.0 \n",
- "11 27.0 21.0 0.0 0.0 ... 291.0 251.0 37.0 \n",
- "12 15.0 10.0 1.0 2.0 ... 272.0 174.0 27.0 \n",
- "13 18.0 14.0 0.0 0.0 ... 274.0 228.0 10.0 \n",
- "14 38.0 23.0 4.0 7.0 ... 226.0 233.0 49.0 \n",
- "15 32.0 23.0 4.0 6.0 ... 316.0 277.0 56.0 \n",
- "16 31.0 22.0 4.0 4.0 ... 262.0 190.0 67.0 \n",
- "17 32.0 27.0 0.0 1.0 ... 207.0 261.0 46.0 \n",
- "18 22.0 14.0 3.0 4.0 ... 221.0 274.0 22.0 \n",
- "19 21.0 15.0 2.0 2.0 ... 261.0 235.0 31.0 \n",
+ "0 23.0 17.0 1.0 1.0 ... 232.0 244.0 26.0 \n",
+ "1 29.0 17.0 5.0 5.0 ... 262.0 254.0 36.0 \n",
+ "2 36.0 23.0 4.0 4.0 ... 232.0 264.0 33.0 \n",
+ "3 26.0 20.0 1.0 3.0 ... 270.0 244.0 35.0 \n",
+ "4 27.0 19.0 3.0 3.0 ... 296.0 252.0 54.0 \n",
+ "5 32.0 30.0 0.0 1.0 ... 213.0 302.0 24.0 \n",
+ "6 24.0 21.0 2.0 2.0 ... 263.0 237.0 19.0 \n",
+ "7 17.0 14.0 1.0 2.0 ... 229.0 232.0 27.0 \n",
+ "8 17.0 12.0 1.0 1.0 ... 294.0 206.0 44.0 \n",
+ "9 23.0 16.0 3.0 3.0 ... 275.0 279.0 45.0 \n",
+ "10 29.0 22.0 3.0 4.0 ... 255.0 251.0 25.0 \n",
+ "11 29.0 22.0 0.0 0.0 ... 303.0 263.0 37.0 \n",
+ "12 15.0 10.0 1.0 2.0 ... 291.0 192.0 28.0 \n",
+ "13 18.0 14.0 0.0 0.0 ... 292.0 238.0 10.0 \n",
+ "14 41.0 25.0 5.0 8.0 ... 238.0 242.0 52.0 \n",
+ "15 34.0 24.0 5.0 7.0 ... 328.0 288.0 56.0 \n",
+ "16 31.0 22.0 4.0 4.0 ... 275.0 200.0 69.0 \n",
+ "17 35.0 28.0 1.0 2.0 ... 225.0 279.0 50.0 \n",
+ "18 22.0 14.0 3.0 4.0 ... 229.0 287.0 23.0 \n",
+ "19 22.0 16.0 2.0 2.0 ... 274.0 242.0 34.0 \n",
"\n",
" pens_won pens_conceded own_goals ball_recoveries aerials_won \\\n",
- "0 1.0 8.0 1.0 1214.0 248.0 \n",
- "1 3.0 3.0 1.0 1081.0 224.0 \n",
- "2 3.0 4.0 0.0 1106.0 367.0 \n",
- "3 2.0 0.0 0.0 1062.0 231.0 \n",
- "4 1.0 4.0 0.0 1005.0 261.0 \n",
- "5 1.0 0.0 2.0 1096.0 362.0 \n",
- "6 2.0 2.0 1.0 914.0 204.0 \n",
- "7 0.0 3.0 0.0 1007.0 240.0 \n",
- "8 1.0 4.0 1.0 1085.0 196.0 \n",
- "9 3.0 2.0 1.0 1072.0 373.0 \n",
- "10 4.0 2.0 2.0 1005.0 234.0 \n",
- "11 0.0 3.0 1.0 1023.0 214.0 \n",
- "12 1.0 4.0 0.0 995.0 210.0 \n",
- "13 0.0 5.0 0.0 1048.0 197.0 \n",
- "14 7.0 1.0 1.0 1084.0 258.0 \n",
- "15 3.0 0.0 0.0 1075.0 324.0 \n",
- "16 2.0 5.0 0.0 1043.0 229.0 \n",
- "17 1.0 2.0 2.0 1182.0 322.0 \n",
- "18 3.0 1.0 0.0 1045.0 337.0 \n",
- "19 2.0 0.0 1.0 1010.0 212.0 \n",
+ "0 1.0 8.0 1.0 1261.0 260.0 \n",
+ "1 3.0 4.0 1.0 1145.0 239.0 \n",
+ "2 3.0 4.0 0.0 1168.0 388.0 \n",
+ "3 2.0 0.0 0.0 1104.0 242.0 \n",
+ "4 1.0 4.0 0.0 1061.0 274.0 \n",
+ "5 1.0 0.0 2.0 1173.0 385.0 \n",
+ "6 2.0 2.0 1.0 960.0 221.0 \n",
+ "7 0.0 4.0 0.0 1064.0 247.0 \n",
+ "8 1.0 4.0 1.0 1157.0 207.0 \n",
+ "9 3.0 2.0 1.0 1141.0 396.0 \n",
+ "10 4.0 2.0 2.0 1059.0 249.0 \n",
+ "11 0.0 4.0 1.0 1075.0 226.0 \n",
+ "12 1.0 5.0 0.0 1049.0 214.0 \n",
+ "13 0.0 5.0 0.0 1095.0 205.0 \n",
+ "14 8.0 1.0 1.0 1143.0 268.0 \n",
+ "15 4.0 0.0 0.0 1126.0 340.0 \n",
+ "16 2.0 5.0 0.0 1088.0 243.0 \n",
+ "17 1.0 2.0 2.0 1225.0 337.0 \n",
+ "18 3.0 1.0 0.0 1095.0 347.0 \n",
+ "19 2.0 0.0 1.0 1063.0 222.0 \n",
"\n",
" aerials_lost aerials_won_pct \n",
- "0 303.0 45.0 \n",
- "1 180.0 55.4 \n",
- "2 273.0 57.3 \n",
- "3 203.0 53.2 \n",
- "4 302.0 46.4 \n",
- "5 411.0 46.8 \n",
- "6 251.0 44.8 \n",
- "7 247.0 49.3 \n",
- "8 193.0 50.4 \n",
- "9 295.0 55.8 \n",
- "10 288.0 44.8 \n",
- "11 225.0 48.7 \n",
- "12 244.0 46.3 \n",
- "13 234.0 45.7 \n",
- "14 240.0 51.8 \n",
- "15 327.0 49.8 \n",
- "16 183.0 55.6 \n",
- "17 281.0 53.4 \n",
- "18 309.0 52.2 \n",
- "19 254.0 45.5 \n",
+ "0 317.0 45.1 \n",
+ "1 193.0 55.3 \n",
+ "2 296.0 56.7 \n",
+ "3 211.0 53.4 \n",
+ "4 317.0 46.4 \n",
+ "5 422.0 47.7 \n",
+ "6 266.0 45.4 \n",
+ "7 257.0 49.0 \n",
+ "8 216.0 48.9 \n",
+ "9 316.0 55.6 \n",
+ "10 305.0 44.9 \n",
+ "11 241.0 48.4 \n",
+ "12 259.0 45.2 \n",
+ "13 245.0 45.6 \n",
+ "14 247.0 52.0 \n",
+ "15 339.0 50.1 \n",
+ "16 195.0 55.5 \n",
+ "17 285.0 54.2 \n",
+ "18 319.0 52.1 \n",
+ "19 264.0 45.7 \n",
"\n",
- "[20 rows x 161 columns]"
+ "[20 rows x 152 columns]"
]
},
"execution_count": 6,
@@ -2942,20 +2942,18 @@
" 'passes_dead' 'passes_free_kicks' 'through_balls' 'passes_switches'\n",
" 'crosses' 'corner_kicks' 'corner_kicks_in' 'corner_kicks_out'\n",
" 'corner_kicks_straight' 'throw_ins' 'passes_offsides' 'passes_blocked'\n",
- " 'sca' 'sca_per90' 'sca_passes_live' 'sca_passes_dead' 'sca_dribbles'\n",
- " 'sca_shots' 'sca_fouled' 'gca' 'gca_per90' 'gca_passes_live'\n",
- " 'gca_passes_dead' 'gca_dribbles' 'gca_shots' 'gca_fouled' 'gca_defense'\n",
- " 'tackles' 'tackles_won' 'tackles_def_3rd' 'tackles_mid_3rd'\n",
- " 'tackles_att_3rd' 'dribble_tackles' 'dribbles_vs' 'dribble_tackles_pct'\n",
- " 'dribbled_past' 'blocks' 'blocked_shots' 'blocked_passes' 'interceptions'\n",
- " 'clearances' 'errors' 'touches' 'touches_def_pen_area' 'touches_def_3rd'\n",
- " 'touches_mid_3rd' 'touches_att_3rd' 'touches_att_pen_area'\n",
- " 'touches_live_ball' 'dribbles_completed' 'dribbles'\n",
- " 'dribbles_completed_pct' 'carries' 'progressive_carries'\n",
- " 'carries_into_final_third' 'carries_into_penalty_area' 'passes_received'\n",
- " 'miscontrols' 'dispossessed' 'cards_yellow_red' 'fouls' 'fouled'\n",
- " 'offsides' 'pens_won' 'pens_conceded' 'own_goals' 'ball_recoveries'\n",
- " 'aerials_won' 'aerials_lost' 'aerials_won_pct']\n",
+ " 'sca' 'sca_per90' 'sca_passes_live' 'sca_passes_dead' 'sca_shots'\n",
+ " 'sca_fouled' 'gca' 'gca_per90' 'gca_passes_live' 'gca_passes_dead'\n",
+ " 'gca_shots' 'gca_fouled' 'gca_defense' 'tackles' 'tackles_won'\n",
+ " 'tackles_def_3rd' 'tackles_mid_3rd' 'tackles_att_3rd' 'blocks'\n",
+ " 'blocked_shots' 'blocked_passes' 'interceptions' 'clearances' 'errors'\n",
+ " 'touches' 'touches_def_pen_area' 'touches_def_3rd' 'touches_mid_3rd'\n",
+ " 'touches_att_3rd' 'touches_att_pen_area' 'touches_live_ball' 'carries'\n",
+ " 'progressive_carries' 'carries_into_final_third'\n",
+ " 'carries_into_penalty_area' 'passes_received' 'miscontrols'\n",
+ " 'dispossessed' 'cards_yellow_red' 'fouls' 'fouled' 'offsides' 'pens_won'\n",
+ " 'pens_conceded' 'own_goals' 'ball_recoveries' 'aerials_won'\n",
+ " 'aerials_lost' 'aerials_won_pct']\n",
"Keeper player columns\n",
"['player' 'nationality' 'position' 'team' 'age' 'birth_year' 'gk_games'\n",
" 'gk_games_starts' 'gk_minutes' 'gk_goals_against'\n",
@@ -3003,15 +3001,13 @@
" 'through_balls' 'passes_switches' 'crosses' 'corner_kicks'\n",
" 'corner_kicks_in' 'corner_kicks_out' 'corner_kicks_straight' 'throw_ins'\n",
" 'passes_offsides' 'passes_blocked' 'sca' 'sca_per90' 'sca_passes_live'\n",
- " 'sca_passes_dead' 'sca_dribbles' 'sca_shots' 'sca_fouled' 'gca'\n",
- " 'gca_per90' 'gca_passes_live' 'gca_passes_dead' 'gca_dribbles'\n",
- " 'gca_shots' 'gca_fouled' 'gca_defense' 'tackles' 'tackles_won'\n",
- " 'tackles_def_3rd' 'tackles_mid_3rd' 'tackles_att_3rd' 'dribble_tackles'\n",
- " 'dribbles_vs' 'dribble_tackles_pct' 'dribbled_past' 'blocks'\n",
- " 'blocked_shots' 'blocked_passes' 'interceptions' 'clearances' 'errors'\n",
- " 'touches' 'touches_def_pen_area' 'touches_def_3rd' 'touches_mid_3rd'\n",
- " 'touches_att_3rd' 'touches_att_pen_area' 'touches_live_ball'\n",
- " 'dribbles_completed' 'dribbles' 'dribbles_completed_pct' 'carries'\n",
+ " 'sca_passes_dead' 'sca_shots' 'sca_fouled' 'gca' 'gca_per90'\n",
+ " 'gca_passes_live' 'gca_passes_dead' 'gca_shots' 'gca_fouled'\n",
+ " 'gca_defense' 'tackles' 'tackles_won' 'tackles_def_3rd' 'tackles_mid_3rd'\n",
+ " 'tackles_att_3rd' 'blocks' 'blocked_shots' 'blocked_passes'\n",
+ " 'interceptions' 'clearances' 'errors' 'touches' 'touches_def_pen_area'\n",
+ " 'touches_def_3rd' 'touches_mid_3rd' 'touches_att_3rd'\n",
+ " 'touches_att_pen_area' 'touches_live_ball' 'carries'\n",
" 'progressive_carries' 'carries_into_final_third'\n",
" 'carries_into_penalty_area' 'passes_received' 'miscontrols'\n",
" 'dispossessed' 'cards_yellow_red' 'fouls' 'fouled' 'offsides' 'pens_won'\n",
@@ -3048,15 +3044,13 @@
" 'through_balls' 'passes_switches' 'crosses' 'corner_kicks'\n",
" 'corner_kicks_in' 'corner_kicks_out' 'corner_kicks_straight' 'throw_ins'\n",
" 'passes_offsides' 'passes_blocked' 'sca' 'sca_per90' 'sca_passes_live'\n",
- " 'sca_passes_dead' 'sca_dribbles' 'sca_shots' 'sca_fouled' 'gca'\n",
- " 'gca_per90' 'gca_passes_live' 'gca_passes_dead' 'gca_dribbles'\n",
- " 'gca_shots' 'gca_fouled' 'gca_defense' 'tackles' 'tackles_won'\n",
- " 'tackles_def_3rd' 'tackles_mid_3rd' 'tackles_att_3rd' 'dribble_tackles'\n",
- " 'dribbles_vs' 'dribble_tackles_pct' 'dribbled_past' 'blocks'\n",
- " 'blocked_shots' 'blocked_passes' 'interceptions' 'clearances' 'errors'\n",
- " 'touches' 'touches_def_pen_area' 'touches_def_3rd' 'touches_mid_3rd'\n",
- " 'touches_att_3rd' 'touches_att_pen_area' 'touches_live_ball'\n",
- " 'dribbles_completed' 'dribbles' 'dribbles_completed_pct' 'carries'\n",
+ " 'sca_passes_dead' 'sca_shots' 'sca_fouled' 'gca' 'gca_per90'\n",
+ " 'gca_passes_live' 'gca_passes_dead' 'gca_shots' 'gca_fouled'\n",
+ " 'gca_defense' 'tackles' 'tackles_won' 'tackles_def_3rd' 'tackles_mid_3rd'\n",
+ " 'tackles_att_3rd' 'blocks' 'blocked_shots' 'blocked_passes'\n",
+ " 'interceptions' 'clearances' 'errors' 'touches' 'touches_def_pen_area'\n",
+ " 'touches_def_3rd' 'touches_mid_3rd' 'touches_att_3rd'\n",
+ " 'touches_att_pen_area' 'touches_live_ball' 'carries'\n",
" 'progressive_carries' 'carries_into_final_third'\n",
" 'carries_into_penalty_area' 'passes_received' 'miscontrols'\n",
" 'dispossessed' 'cards_yellow_red' 'fouls' 'fouled' 'offsides' 'pens_won'\n",
@@ -3406,7 +3400,7 @@
" \n",
" \n",
"\n",
- "632 rows × 124 columns
\n",
+ "632 rows × 115 columns
\n",
""
],
"text/plain": [
@@ -3462,7 +3456,7 @@
"630 74.5 \n",
"631 37.5 \n",
"\n",
- "[632 rows x 124 columns]"
+ "[632 rows x 115 columns]"
]
},
"execution_count": 8,
@@ -5566,7 +5560,7 @@
" \n",
" \n",
"\n",
- "20 rows × 161 columns
\n",
+ "20 rows × 152 columns
\n",
""
],
"text/plain": [
@@ -5658,7 +5652,7 @@
"18 534.0 45.9 \n",
"19 583.0 49.2 \n",
"\n",
- "[20 rows x 161 columns]"
+ "[20 rows x 152 columns]"
]
},
"execution_count": 10,
@@ -6207,7 +6201,7 @@
" \n",
" \n",
"\n",
- "20 rows × 161 columns
\n",
+ "20 rows × 152 columns
\n",
""
],
"text/plain": [
@@ -6299,7 +6293,7 @@
"18 453.0 54.1 \n",
"19 564.0 50.8 \n",
"\n",
- "[20 rows x 161 columns]"
+ "[20 rows x 152 columns]"
]
},
"execution_count": 11,
diff --git a/2_votes_dataset_creation.ipynb b/2_votes_dataset_creation.ipynb
index 3e48a08..ccb530c 100644
--- a/2_votes_dataset_creation.ipynb
+++ b/2_votes_dataset_creation.ipynb
@@ -181,7 +181,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 4,
"id": "0d4a330d",
"metadata": {},
"outputs": [
@@ -208,7 +208,8 @@
"loaded votes for matchday 17\n",
"loaded votes for matchday 18\n",
"loaded votes for matchday 19\n",
- "loaded votes for matchday 20\n"
+ "loaded votes for matchday 20\n",
+ "loaded votes for matchday 21\n"
]
}
],
@@ -273,7 +274,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 5,
"id": "6ade957d",
"metadata": {},
"outputs": [
@@ -390,51 +391,38 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
@@ -442,36 +430,49 @@
" 6.0 \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" \n",
" \n",
"\n",
- "5715 rows × 10 columns
\n",
+ "5992 rows × 10 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
" cards_malus fantavote \n",
"0 0.5 5.5 \n",
@@ -480,16 +481,16 @@
"3 0.5 5.5 \n",
"4 0.5 5.0 \n",
"... ... ... \n",
- "5710 0.5 5.0 \n",
- "5711 0.0 5.5 \n",
- "5712 0.0 5.0 \n",
- "5713 0.0 6.0 \n",
- "5714 0.0 6.0 \n",
+ "5987 0.5 5.5 \n",
+ "5988 0.0 6.0 \n",
+ "5989 0.0 6.0 \n",
+ "5990 0.0 6.0 \n",
+ "5991 0.0 10.0 \n",
"\n",
- "[5715 rows x 10 columns]"
+ "[5992 rows x 10 columns]"
]
},
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -500,7 +501,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 6,
"id": "230213fe",
"metadata": {},
"outputs": [],
diff --git a/3_players_dataset_creation.ipynb b/3_players_dataset_creation.ipynb
index ef2d53e..bca356e 100644
--- a/3_players_dataset_creation.ipynb
+++ b/3_players_dataset_creation.ipynb
@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
- "execution_count": 100,
+ "execution_count": 1,
"id": "7c65df92",
"metadata": {},
"outputs": [],
@@ -34,7 +34,7 @@
},
{
"cell_type": "code",
- "execution_count": 101,
+ "execution_count": 2,
"id": "b2d7073e",
"metadata": {},
"outputs": [],
@@ -48,7 +48,7 @@
},
{
"cell_type": "code",
- "execution_count": 102,
+ "execution_count": 3,
"id": "667970f6",
"metadata": {},
"outputs": [
@@ -80,82 +80,82 @@
" \n",
" \n",
" 0 \n",
+ " Oliver Abildgaard \n",
+ " Hellas Verona \n",
+ " \n",
+ " \n",
+ " 1 \n",
" Tammy Abraham \n",
" Roma \n",
" \n",
" \n",
- " 1 \n",
+ " 2 \n",
" Francesco Acerbi \n",
" Inter \n",
" \n",
" \n",
- " 2 \n",
+ " 3 \n",
" Yacine Adli \n",
" Milan \n",
" \n",
" \n",
- " 3 \n",
+ " 4 \n",
" Michel Aebischer \n",
" Bologna \n",
" \n",
" \n",
- " 4 \n",
- " Felix Afena-Gyan \n",
- " Cremonese \n",
- " \n",
- " \n",
" ... \n",
" ... \n",
" ... \n",
" \n",
" \n",
- " 551 \n",
+ " 567 \n",
" Ciprian Tătărușanu \n",
" Milan \n",
" \n",
" \n",
- " 552 \n",
+ " 568 \n",
" Pietro Terracciano \n",
" Fiorentina \n",
" \n",
" \n",
- " 553 \n",
+ " 569 \n",
" Guglielmo Vicario \n",
" Empoli \n",
" \n",
" \n",
- " 554 \n",
+ " 570 \n",
" Jeroen Zoet \n",
" Spezia \n",
" \n",
" \n",
- " 555 \n",
+ " 571 \n",
" Petar Zovko \n",
" Spezia \n",
" \n",
" \n",
"\n",
- "556 rows × 2 columns
\n",
+ "572 rows × 2 columns
\n",
""
],
"text/plain": [
- " player team\n",
- "0 Tammy Abraham Roma\n",
- "1 Francesco Acerbi Inter\n",
- "2 Yacine Adli Milan\n",
- "3 Michel Aebischer Bologna\n",
- "4 Felix Afena-Gyan Cremonese\n",
- ".. ... ...\n",
- "551 Ciprian Tătărușanu Milan\n",
- "552 Pietro Terracciano Fiorentina\n",
- "553 Guglielmo Vicario Empoli\n",
- "554 Jeroen Zoet Spezia\n",
- "555 Petar Zovko Spezia\n",
+ " player team\n",
+ "0 Oliver Abildgaard Hellas Verona\n",
+ "1 Tammy Abraham Roma\n",
+ "2 Francesco Acerbi Inter\n",
+ "3 Yacine Adli Milan\n",
+ "4 Michel Aebischer Bologna\n",
+ ".. ... ...\n",
+ "567 Ciprian Tătărușanu Milan\n",
+ "568 Pietro Terracciano Fiorentina\n",
+ "569 Guglielmo Vicario Empoli\n",
+ "570 Jeroen Zoet Spezia\n",
+ "571 Petar Zovko Spezia\n",
"\n",
- "[556 rows x 2 columns]"
+ "[572 rows x 2 columns]"
]
},
- "execution_count": 102,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -170,7 +170,7 @@
},
{
"cell_type": "code",
- "execution_count": 103,
+ "execution_count": 4,
"id": "e1e64596",
"metadata": {},
"outputs": [],
@@ -185,7 +185,7 @@
},
{
"cell_type": "code",
- "execution_count": 104,
+ "execution_count": 5,
"id": "3078d6f3",
"metadata": {},
"outputs": [],
@@ -203,7 +203,7 @@
},
{
"cell_type": "code",
- "execution_count": 105,
+ "execution_count": 6,
"id": "ffd6091c",
"metadata": {},
"outputs": [
@@ -212,562 +212,578 @@
"output_type": "stream",
"text": [
" player surname\n",
- "0 Tammy Abraham Abraham\n",
- "1 Francesco Acerbi Acerbi\n",
- "2 Yacine Adli Adli\n",
- "3 Michel Aebischer Aebischer\n",
- "4 Felix Afena-Gyan Afena-Gyan\n",
- "5 Kevin Agudelo Agudelo\n",
- "6 Ola Aina Aina\n",
- "7 Emanuel Aiwum Aiwum\n",
- "8 Jean-Daniel Akpa-Akpro Akpa-Akpro\n",
- "9 Luis Alberto Alberto\n",
- "10 Agustín Álvarez Martínez Martinez\n",
- "11 Kelvin Amian Amian\n",
- "12 Bruno Amione Amione\n",
+ "0 Oliver Abildgaard Abildgaard\n",
+ "1 Tammy Abraham Abraham\n",
+ "2 Francesco Acerbi Acerbi\n",
+ "3 Yacine Adli Adli\n",
+ "4 Michel Aebischer Aebischer\n",
+ "5 Felix Afena-Gyan Afena-Gyan\n",
+ "6 Kevin Agudelo Agudelo\n",
+ "7 Ola Aina Aina\n",
+ "8 Emanuel Aiwum Aiwum\n",
+ "9 Jean-Daniel Akpa-Akpro Akpa-Akpro\n",
+ "10 Luis Alberto Alberto\n",
+ "11 Agustín Álvarez Martínez Martinez\n",
+ "12 Kelvin Amian Amian\n",
"13 Bruno Amione Amione\n",
- "14 Ethan Ampadu Ampadu\n",
- "15 Sofyan Amrabat Amrabat\n",
- "16 Felipe Anderson Anderson\n",
- "17 Janis Antiste Antiste\n",
- "18 Marcos Antônio Antonio\n",
- "19 Valentin Antov Antov\n",
- "20 Marko Arnautović Arnautovic\n",
- "21 Tolgay Arslan Arslan\n",
- "22 Arthur Arthur\n",
- "23 Santiago Ascacíbar Ascacibar\n",
- "24 Kristoffer Askildsen Askildsen\n",
- "25 Kristjan Asllani Asllani\n",
- "26 Emil Audero Audero\n",
- "27 Tommaso Augello Augello\n",
- "28 Kaan Ayhan Ayhan\n",
- "29 Jaime Báez Baez\n",
- "30 Nedim Bajrami Bajrami\n",
- "31 Tommaso Baldanzi Baldanzi\n",
- "32 Fodé Ballo-Touré Ballo-Toure\n",
- "33 Lameck Banda Banda\n",
- "34 Filippo Bandinelli Bandinelli\n",
- "35 Antonín Barák Barak\n",
- "36 Antonín Barák Barak\n",
- "37 Andrea Barberis Barberis\n",
- "38 Nicolò Barella Barella\n",
- "39 Musa Barrow Barrow\n",
- "40 Federico Baschirotto Baschirotto\n",
- "41 Toma Bašić Basic\n",
- "42 Alessandro Bastoni Bastoni\n",
- "43 Simone Bastoni Bastoni\n",
- "44 Brian Bayeye Bayeye\n",
- "45 Rodrigo Becão Becao\n",
- "46 Julius Beck Beck\n",
- "47 Raoul Bellanova Bellanova\n",
- "48 Andrea Belotti Belotti\n",
- "49 Marco Benassi Benassi\n",
- "50 Marco Benassi Benassi\n",
- "51 Ismaël Bennacer Bennacer\n",
- "52 Domenico Berardi Berardi\n",
- "53 Bartosz Bereszyński Bereszynski\n",
- "54 Beto Beto\n",
- "55 Matteo Bianchetti Bianchetti\n",
- "56 Alessandro Bianco Bianco\n",
- "57 Jaka Bijol Bijol\n",
- "58 Cristiano Biraghi Biraghi\n",
- "59 Samuele Birindelli Birindelli\n",
- "60 Kristijan Bistrović Bistrovic\n",
- "61 Alexis Blin Blin\n",
- "62 Jeremie Boga Boga\n",
- "63 Emil Bohinen Bohinen\n",
- "64 Giacomo Bonaventura Bonaventura\n",
- "65 Federico Bonazzoli Bonazzoli\n",
- "66 Warren Bondo Bondo\n",
- "67 Kevin Bonifazi Bonifazi\n",
- "68 Leonardo Bonucci Bonucci\n",
- "69 Erik Botheim Botheim\n",
- "70 Mehdi Bourabia Bourabia\n",
- "71 Edoardo Bove Bove\n",
- "72 Jayden Braaf Braaf\n",
- "73 Domagoj Bradarić Bradaric\n",
- "74 Gleison Bremer Bremer\n",
- "75 Dylan Bronn Bronn\n",
- "76 Marcelo Brozović Brozovic\n",
- "77 Cristian Buonaiuto Buonaiuto\n",
- "78 Alessandro Buongiorno Buongiorno\n",
- "79 Juan Cabal Cabal\n",
- "80 Liberato Cacace Cacace\n",
- "81 Davide Calabria Calabria\n",
- "82 Mattia Caldara Caldara\n",
- "83 Luca Caldirola Caldirola\n",
- "84 Hakan Çalhanoğlu Calhanoglu\n",
- "85 Mohamed Camara Camara\n",
- "86 Nicolò Cambiaghi Cambiaghi\n",
- "87 Andrea Cambiaso Cambiaso\n",
- "88 Matteo Cancellieri Cancellieri\n",
- "89 Antonio Candreva Candreva\n",
- "90 Gianluca Caprari Caprari\n",
- "91 Francesco Caputo Caputo\n",
- "92 Francesco Caputo Caputo\n",
- "93 Andrea Carboni Carboni\n",
- "94 Valentin Carboni Carboni\n",
- "95 Carlos Carlos\n",
- "96 Marco Carnesecchi Carnesecchi\n",
- "97 Nicolò Casale Casale\n",
- "98 Michele Castagnetti Castagnetti\n",
- "99 Gaetano Castrovilli Castrovilli\n",
- "100 Danilo Cataldi Cataldi\n",
- "101 Federico Ceccherini Ceccherini\n",
- "102 Assan Ceesay Ceesay\n",
- "103 Emil Ceide Ceide\n",
- "104 Zeki Çelik Celik\n",
- "105 Federico Chiesa Chiesa\n",
- "106 Vlad Chiricheș Chiriches\n",
- "107 Daniel Ciofani Ciofani\n",
- "108 Tio Cipot Cipot\n",
- "109 Patrick Ciurria Ciurria\n",
- "110 Omar Colley Colley\n",
- "111 Lorenzo Colombo Colombo\n",
- "112 Andrea Colpani Colpani\n",
- "113 Andrea Consigli Consigli\n",
- "114 Andrea Conti Conti\n",
- "115 Diego Coppola Coppola\n",
- "116 Joaquín Correa Correa\n",
- "117 Alessandro Cortinovis Cortinovis\n",
- "118 Lassana Coulibaly Coulibaly\n",
- "119 Bryan Cristante Cristante\n",
- "120 Domen Črnigoj Crnigoj\n",
- "121 Juan Cuadrado Cuadrado\n",
- "122 Marco D'Alessandro DAlessandro\n",
- "123 Danilo D'Ambrosio DAmbrosio\n",
- "124 Luca D'Andrea DAndrea\n",
- "125 Flavius Daniliuc Daniliuc\n",
- "126 Danilo Danilo\n",
- "127 Matteo Darmian Darmian\n",
- "128 Paweł Dawidowicz Dawidowicz\n",
- "129 Charles De Ketelaere Ketelaere\n",
- "130 Manuel De Luca Luca\n",
- "131 Mattia De Sciglio Sciglio\n",
- "132 Lorenzo De Silvestri Silvestri\n",
- "133 Koni De Winter Winter\n",
- "134 Grégoire Defrel Defrel\n",
- "135 Duccio Degli Innocenti Innocenti\n",
- "136 Merih Demiral Demiral\n",
- "137 Diego Demme Demme\n",
- "138 Fabio Depaoli Depaoli\n",
- "139 Fabio Depaoli Depaoli\n",
- "140 Kastriot Dermaku Dermaku\n",
- "141 Cyriel Dessers Dessers\n",
- "142 Sergiño Dest Dest\n",
- "143 Mattia Destro Destro\n",
- "144 Gerard Deulofeu Deulofeu\n",
- "145 Samuel Di Carmine Carmine\n",
- "146 Federico Di Francesco Francesco\n",
- "147 Michele Di Gregorio Gregorio\n",
- "148 Giovanni Di Lorenzo Lorenzo\n",
- "149 Ángel Di María Maria\n",
- "150 Boulaye Dia Dia\n",
- "151 Brahim Díaz Diaz\n",
- "152 Federico Dimarco Dimarco\n",
- "153 Koffi Djidji Djidji\n",
- "154 Berat Djimsiti Djimsiti\n",
- "155 Dodô Dodo\n",
- "156 Josh Doig Doig\n",
- "157 Nicolás Domínguez Dominguez\n",
- "158 Giulio Donati Donati\n",
- "159 Bartłomiej Drągowski Dragowski\n",
- "160 Ondrej Duda Duda\n",
- "161 Denzel Dumfries Dumfries\n",
- "162 Alfred Duncan Duncan\n",
- "163 Paulo Dybala Dybala\n",
- "164 Edin Džeko Dzeko\n",
- "165 Festy Ebosele Ebosele\n",
- "166 Enzo Ebosse Ebosse\n",
- "167 Tyronne Ebuehi Ebuehi\n",
- "168 Éderson Ederson\n",
- "169 Kingsley Ehizibue Ehizibue\n",
- "170 Albin Ekdal Ekdal\n",
- "171 Emmanuel Ekong Ekong\n",
- "172 Mikael Ellertsson Ellertsson\n",
- "173 Elif Elmas Elmas\n",
- "174 Martin Erlic Erlic\n",
- "175 Gonzalo Escalante Escalante\n",
- "176 Salvatore Esposito Esposito\n",
- "177 Nicolò Fagioli Fagioli\n",
- "178 Wladimiro Falcone Falcone\n",
- "179 Davide Faraoni Faraoni\n",
- "180 Federico Fazio Fazio\n",
- "181 Jacopo Fazzini Fazzini\n",
- "182 Lewis Ferguson Ferguson\n",
- "183 Alex Ferrari Ferrari\n",
- "184 Alex Ferrari Ferrari\n",
- "185 Salvador Ferrer Ferrer\n",
- "186 Alessandro Florenzi Florenzi\n",
- "187 Davide Frattesi Frattesi\n",
- "188 Matteo Gabbia Gabbia\n",
- "189 Manolo Gabbiadini Gabbiadini\n",
- "190 Gianluca Gaetano Gaetano\n",
- "191 Roberto Gagliardini Gagliardini\n",
- "192 Antonino Gallo Gallo\n",
- "193 Federico Gatti Gatti\n",
- "194 Valentin Gendrey Gendrey\n",
- "195 Paolo Ghiglione Ghiglione\n",
- "196 Mario Gila Gila\n",
- "197 Olivier Giroud Giroud\n",
- "198 Pierluigi Gollini Gollini\n",
- "199 Joan Gonzàlez Gonzalez\n",
- "200 Nicolás González Gonzalez\n",
- "201 Robin Gosens Gosens\n",
- "202 Alberto Grassi Grassi\n",
- "203 Koray Günter Gunter\n",
- "204 Emmanuel Gyasi Gyasi\n",
- "205 Norbert Gyömbér Gyomber\n",
- "206 Christian Gytkjær Gytkjr\n",
- "207 Nicolas Haas Haas\n",
- "208 Samir Handanović Handanovic\n",
- "209 Abdou Harroui Harroui\n",
- "210 Hans Hateboer Hateboer\n",
- "211 Liam Henderson Henderson\n",
- "212 Jack Hendry Hendry\n",
- "213 Matheus Henrique Henrique\n",
- "214 Thomas Henry Henry\n",
- "215 Theo Hernández Hernandez\n",
- "216 Isak Hien Hien\n",
- "217 Morten Hjulmand Hjulmand\n",
- "218 Emil Holm Holm\n",
- "219 Martin Hongla Hongla\n",
- "220 Petko Hristov Hristov\n",
- "221 Ajdin Hrustic Hrustic\n",
- "222 Elseid Hysaj Hysaj\n",
- "223 Rasmus Højlund Hjlund\n",
- "224 Roger Ibanez Ibanez\n",
- "225 Igor Igor\n",
- "226 Jonathan Ikone Ikone\n",
- "227 Ivan Ilić Ilic\n",
- "228 Samuel Iling-Junior Iling-Junior\n",
- "229 Emirhan İlkhan Ilkhan\n",
- "230 Ciro Immobile Immobile\n",
- "231 Ardian Ismajli Ismajli\n",
- "232 Armando Izzo Izzo\n",
- "233 Mato Jajalo Jajalo\n",
- "234 Juan Jesus Jesus\n",
- "235 Þórir Jóhann Helgason Helgason\n",
- "236 Luka Jović Jovic\n",
- "237 Hamed Junior Traorè Traore\n",
- "238 Yayah Kallon Kallon\n",
- "239 Pierre Kalulu Kalulu\n",
- "240 Yann Karamoh Karamoh\n",
- "241 Rick Karsdorp Karsdorp\n",
- "242 Denso Kasius Kasius\n",
- "243 Grigoris Kastanos Kastanos\n",
- "244 Moise Kean Kean\n",
- "245 Jakub Kiwior Kiwior\n",
- "246 Simon Kjær Kjr\n",
- "247 Teun Koopmeiners Koopmeiners\n",
- "248 Filip Kostić Kostic\n",
- "249 Christian Kouamé Kouame\n",
- "250 Viktor Kovalenko Kovalenko\n",
- "251 Julian Kristoffersen Kristoffersen\n",
- "252 Rade Krunić Krunic\n",
- "253 Marash Kumbulla Kumbulla\n",
- "254 Khvicha Kvaratskhelia Kvaratskhelia\n",
- "255 Giorgos Kyriakopoulos Kyriakopoulos\n",
- "256 Sam Lammers Lammers\n",
- "257 Sam Lammers Lammers\n",
- "258 Kevin Lasagna Lasagna\n",
- "259 Armand Lauriente Lauriente\n",
- "260 Valentino Lazaro Lazaro\n",
- "261 Marko Lazetić Lazetic\n",
- "262 Darko Lazović Lazovic\n",
- "263 Manuel Lazzari Lazzari\n",
- "264 Rafael Leão Leao\n",
- "265 Mehdi Léris Leris\n",
- "266 Karol Linetty Linetty\n",
- "267 Marcin Listkowski Listkowski\n",
- "268 Stanislav Lobotka Lobotka\n",
- "269 Manuel Locatelli Locatelli\n",
- "270 Luka Lochoshvili Lochoshvili\n",
- "271 Ademola Lookman Lookman\n",
- "272 Maxime Lopez Lopez\n",
- "273 Matteo Lovato Lovato\n",
- "274 Sandi Lovrić Lovric\n",
- "275 Hirving Lozano Lozano\n",
- "276 Jhon Lucumí Lucumi\n",
- "277 José Luis Palomino Palomino\n",
- "278 Romelu Lukaku Lukaku\n",
- "279 Saša Lukić Lukic\n",
- "280 Sebastiano Luperto Luperto\n",
- "281 Charalambos Lykogiannis Lykogiannis\n",
- "282 Giulio Maggiore Maggiore\n",
- "283 Giangiacomo Magnani Magnani\n",
- "284 Mike Maignan Maignan\n",
- "285 Jean-Victor Makengo Makengo\n",
- "286 Lorenzo Malagrida Malagrida\n",
- "287 Daniel Maldini Maldini\n",
- "288 Youssef Maleh Maleh\n",
- "289 Youssef Maleh Maleh\n",
- "290 Ruslan Malinovskyi Malinovskyi\n",
- "291 Gianluca Mancini Mancini\n",
- "292 Rolando Mandragora Mandragora\n",
- "293 Riccardo Marchizza Marchizza\n",
- "294 Gian Marco Ferrari Ferrari\n",
- "295 Pablo Marí Mari\n",
- "296 Răzvan Marin Marin\n",
- "297 Marlon Marlon\n",
- "298 Luca Marrone Marrone\n",
- "299 Lautaro Martínez Martinez\n",
- "300 Lucas Martínez Quarta Quarta\n",
- "301 Adam Marušić Marusic\n",
- "302 Adam Masina Masina\n",
- "303 Nemanja Matić Matic\n",
- "304 Luís Maximiano Maximiano\n",
- "305 Pasquale Mazzocchi Mazzocchi\n",
- "306 Weston McKennie McKennie\n",
- "307 Gary Medel Medel\n",
- "308 Soualiho Meïté Meite\n",
- "309 Alex Meret Meret\n",
- "310 Yıldırım Mert Çetin Cetin\n",
- "311 Junior Messias Messias\n",
- "312 Tommaso Milanese Milanese\n",
- "313 Nikola Milenković Milenkovic\n",
- "314 Arkadiusz Milik Milik\n",
- "315 Sergej Milinković-Savić Milinkovic-Savic\n",
- "316 Vanja Milinković-Savić Milinkovic-Savic\n",
- "317 Kim Min-jae Min-jae\n",
- "318 Aleksei Miranchuk Miranchuk\n",
- "319 Fabio Miretti Miretti\n",
- "320 Henrikh Mkhitaryan Mkhitaryan\n",
- "321 Salvatore Molina Molina\n",
- "322 Daniele Montevago Montevago\n",
- "323 Lorenzo Montipò Montipo\n",
- "324 Nikola Moro Moro\n",
- "325 Dany Mota Mota\n",
- "326 João Moutinho Moutinho\n",
- "327 Mert Müldür Muldur\n",
- "328 Luis Muriel Muriel\n",
- "329 Jeison Murillo Murillo\n",
- "330 Nicola Murru Murru\n",
- "331 Juan Musso Musso\n",
- "332 Joakim Mæhle Mhle\n",
- "333 Michel Ndary Adopo Adopo\n",
- "334 Tanguy Ndombele Ndombele\n",
- "335 Ilija Nestorovski Nestorovski\n",
- "336 Cyril Ngonge Ngonge\n",
- "337 Hans Nicolussi Caviglia Caviglia\n",
- "338 Dimitris Nikolaou Nikolaou\n",
- "339 Bram Nuytinck Nuytinck\n",
- "340 Bram Nuytinck Nuytinck\n",
- "341 M'Bala Nzola Nzola\n",
- "342 Pedro Obiang Obiang\n",
- "343 Guillermo Ochoa Ochoa\n",
- "344 David Okereke Okereke\n",
- "345 Caleb Okoli Okoli\n",
- "346 Mathías Olivera Olivera\n",
- "347 André Onana Onana\n",
- "348 Divock Origi Origi\n",
- "349 Riccardo Orsolini Orsolini\n",
- "350 Victor Osimhen Osimhen\n",
- "351 Remi Oudin Oudin\n",
- "352 Adam Ounas Ounas\n",
- "353 Flavio Paoletti Paoletti\n",
- "354 Leandro Paredes Paredes\n",
- "355 Fabiano Parisi Parisi\n",
- "356 Mario Pašalić Pasalic\n",
- "357 Patric Patric\n",
- "358 Rui Patrício Patricio\n",
- "359 Pedro Pedro\n",
- "360 Gianluca Pegolo Pegolo\n",
- "361 Pietro Pellegri Pellegri\n",
- "362 Lorenzo Pellegrini Pellegrini\n",
- "363 Pepín Pepin\n",
- "364 Roberto Pereyra Pereyra\n",
- "365 Nehuén Pérez Perez\n",
- "366 Mattia Perin Perin\n",
- "367 Matteo Pessina Pessina\n",
- "368 Andrea Petagna Petagna\n",
- "369 Giuseppe Pezzella Pezzella\n",
- "370 Krzysztof Piątek Piatek\n",
- "371 Roberto Piccoli Piccoli\n",
- "372 Charles Pickel Pickel\n",
- "373 Andrea Pinamonti Pinamonti\n",
- "374 Lorenzo Pirola Pirola\n",
- "375 Marko Pjaca Pjaca\n",
- "376 Tommaso Pobega Pobega\n",
- "377 Matteo Politano Politano\n",
- "378 Marin Pongračić Pongracic\n",
- "379 Stefan Posch Posch\n",
- "380 Ivan Provedel Provedel\n",
- "381 Ignacio Pussetto Pussetto\n",
- "382 Niklas Pyyhtiä Pyyhtia\n",
- "383 Fabio Quagliarella Quagliarella\n",
- "384 Giacomo Quagliata Quagliata\n",
- "385 Adrien Rabiot Rabiot\n",
- "386 Nemanja Radonjić Radonjic\n",
- "387 Ivan Radovanović Radovanovic\n",
- "388 Ionuț Radu Radu\n",
- "389 Luca Ranieri Ranieri\n",
- "390 Andrea Ranocchia Ranocchia\n",
- "391 Filippo Ranocchia Ranocchia\n",
- "392 Giacomo Raspadori Raspadori\n",
- "393 Giacomo Raspadori Raspadori\n",
- "394 Ante Rebić Rebic\n",
- "395 Arkadiusz Reca Reca\n",
- "396 Panagiotis Retsos Retsos\n",
- "397 Franck Ribéry Ribery\n",
- "398 Samuele Ricci Ricci\n",
- "399 Tomás Rincón Rincon\n",
- "400 Pablo Rodríguez Rodriguez\n",
- "401 Ricardo Rodríguez Rodriguez\n",
- "402 Rogério Rogerio\n",
- "403 Alessio Romagnoli Romagnoli\n",
- "404 Luka Romero Romero\n",
- "405 Marten de Roon Roon\n",
- "406 Nicolò Rovella Rovella\n",
- "407 Nicolò Rovella Rovella\n",
- "408 Amir Rrahmani Rrahmani\n",
- "409 Ruan Ruan\n",
- "410 Daniele Rugani Rugani\n",
- "411 Matteo Ruggeri Ruggeri\n",
- "412 Mário Rui Rui\n",
- "413 Abdelhamid Sabiri Sabiri\n",
- "414 Alexis Saelemaekers Saelemaekers\n",
- "415 Jacopo Sala Sala\n",
- "416 Lazar Samardzic Samardzic\n",
- "417 Junior Sambia Sambia\n",
- "418 Antonio Sanabria Sanabria\n",
- "419 Leandro Sanca Sanca\n",
- "420 Alex Sandro Sandro\n",
- "421 Nicola Sansone Sansone\n",
- "422 Riccardo Saponara Saponara\n",
- "423 Martin Satriano Satriano\n",
- "424 Giorgio Scalvini Scalvini\n",
- "425 Jerdy Schouten Schouten\n",
- "426 Perr Schuurs Schuurs\n",
- "427 Demba Seck Seck\n",
- "428 Jacopo Segre Segre\n",
- "429 Vivaldo Semedo Semedo\n",
- "430 Stefano Sensi Sensi\n",
- "431 Luigi Sepe Sepe\n",
- "432 Leonardo Sernicola Sernicola\n",
- "433 Stephan El Shaarawy Shaarawy\n",
- "434 Eldor Shomurodov Shomurodov\n",
- "435 Marco Silvestri Silvestri\n",
- "436 Giovanni Simeone Simeone\n",
- "437 Wilfried Singo Singo\n",
- "438 Leo Skiri Østigård stigard\n",
- "439 Łukasz Skorupski Skorupski\n",
- "440 Milan Škriniar Skriniar\n",
- "441 Chris Smalling Smalling\n",
- "442 Ola Solbakken Solbakken\n",
- "443 Brandon Soppy Soppy\n",
- "444 Brandon Soppy Soppy\n",
- "445 Roberto Soriano Soriano\n",
- "446 Joaquin Sosa Sosa\n",
- "447 Riccardo Sottil Sottil\n",
- "448 Matìas Soulé Soule\n",
- "449 Adama Soumaoro Soumaoro\n",
- "450 Leonardo Spinazzola Spinazzola\n",
- "451 Marco Sportiello Sportiello\n",
- "452 Petar Stojanović Stojanovic\n",
- "453 Gabriel Strefezza Strefezza\n",
- "454 Dávid Strelec Strelec\n",
- "455 Isaac Success Success\n",
- "456 Ibrahim Sulemana Sulemana\n",
- "457 Wojciech Szczęsny Szczesny\n",
- "458 Benjamin Tahirovic Tahirovic\n",
- "459 Adrien Tameze Tameze\n",
- "460 Ciprian Tătărușanu Tatarusanu\n",
- "461 Filippo Terracciano Terracciano\n",
- "462 Pietro Terracciano Terracciano\n",
- "463 Aleksa Terzić Terzic\n",
- "464 Malick Thiaw Thiaw\n",
- "465 Kristian Thorstvedt Thorstvedt\n",
- "466 Jeremy Toljan Toljan\n",
- "467 Rafael Tolói Toloi\n",
- "468 Fikayo Tomori Tomori\n",
- "469 Sandro Tonali Tonali\n",
- "470 William Troost-Ekong Troost-Ekong\n",
- "471 Frank Tsadjout Tsadjout\n",
- "472 Alessandro Tuia Tuia\n",
- "473 Iyenoma Udogie Udogie\n",
- "474 Samuel Umtiti Umtiti\n",
- "475 Diego Valencia Valencia\n",
- "476 Emanuele Valeri Valeri\n",
- "477 Mattia Valoti Valoti\n",
- "478 Johan Vásquez Vasquez\n",
- "479 Matías Vecino Vecino\n",
- "480 Miguel Veloso Veloso\n",
- "481 Lorenzo Venuti Venuti\n",
- "482 Daniele Verde Verde\n",
- "483 Simone Verdi Verdi\n",
- "484 Valerio Verre Verre\n",
- "485 Guglielmo Vicario Vicario\n",
- "486 Ronaldo Vieira Vieira\n",
- "487 Emanuel Vignato Vignato\n",
- "488 Samuele Vignato Vignato\n",
- "489 Tonny Vilhena Vilhena\n",
- "490 Gonzalo Villar Villar\n",
- "491 Matías Viña Vina\n",
- "492 Dušan Vlahović Vlahovic\n",
- "493 Nikola Vlašić Vlasic\n",
- "494 Joel Voelkerling Persson Persson\n",
- "495 Mërgim Vojvoda Vojvoda\n",
- "496 Cristian Volpato Volpato\n",
- "497 Aster Vranckx Vranckx\n",
- "498 Stefan de Vrij Vrij\n",
- "499 Walace Walace\n",
- "500 Sebastian Walukiewicz Walukiewicz\n",
- "501 Georginio Wijnaldum Wijnaldum\n",
- "502 Harry Winks Winks\n",
- "503 Gerard Yepes Yepes\n",
- "504 Mattia Zaccagni Zaccagni\n",
- "505 Denis Zakaria Zakaria\n",
- "506 Nicola Zalewski Zalewski\n",
- "507 Andre-Frank Zambo Anguissa Anguissa\n",
- "508 Luca Zanimacchia Zanimacchia\n",
- "509 Nicolò Zaniolo Zaniolo\n",
- "510 Alessandro Zanoli Zanoli\n",
- "511 Alessandro Zanoli Zanoli\n",
- "512 Duván Zapata Zapata\n",
- "513 Davide Zappacosta Zappacosta\n",
- "514 Alessio Zerbin Zerbin\n",
- "515 Piotr Zieliński Zielinski\n",
- "516 David Zima Zima\n",
- "517 Joshua Zirkzee Zirkzee\n",
- "518 Jeroen Zoet Zoet\n",
- "519 Nadir Zortea Zortea\n",
- "520 Petar Zovko Zovko\n",
- "521 Szymon Żurkowski Zurkowski\n",
- "522 Szymon Żurkowski Zurkowski\n",
- "523 Milan Đurić uric\n",
- "524 Filip Đuričić uricic\n",
- "525 Emil Audero Audero\n",
- "526 Marco Carnesecchi Carnesecchi\n",
- "527 Andrea Consigli Consigli\n",
- "528 Michele Di Gregorio Gregorio\n",
- "529 Bartłomiej Drągowski Dragowski\n",
- "530 Wladimiro Falcone Falcone\n",
- "531 Pierluigi Gollini Gollini\n",
- "532 Samir Handanović Handanovic\n",
- "533 Mike Maignan Maignan\n",
- "534 Luís Maximiano Maximiano\n",
- "535 Alex Meret Meret\n",
- "536 Vanja Milinković-Savić Milinkovic-Savic\n",
- "537 Lorenzo Montipò Montipo\n",
- "538 Juan Musso Musso\n",
- "539 Guillermo Ochoa Ochoa\n",
- "540 André Onana Onana\n",
- "541 Rui Patrício Patricio\n",
- "542 Gianluca Pegolo Pegolo\n",
- "543 Mattia Perin Perin\n",
- "544 Ivan Provedel Provedel\n",
- "545 Ionuț Radu Radu\n",
- "546 Luigi Sepe Sepe\n",
- "547 Marco Silvestri Silvestri\n",
- "548 Łukasz Skorupski Skorupski\n",
- "549 Marco Sportiello Sportiello\n",
- "550 Wojciech Szczęsny Szczesny\n",
- "551 Ciprian Tătărușanu Tatarusanu\n",
- "552 Pietro Terracciano Terracciano\n",
- "553 Guglielmo Vicario Vicario\n",
- "554 Jeroen Zoet Zoet\n",
- "555 Petar Zovko Zovko\n"
+ "14 Bruno Amione Amione\n",
+ "15 Ethan Ampadu Ampadu\n",
+ "16 Sofyan Amrabat Amrabat\n",
+ "17 Felipe Anderson Anderson\n",
+ "18 Janis Antiste Antiste\n",
+ "19 Marcos Antônio Antonio\n",
+ "20 Valentin Antov Antov\n",
+ "21 Marko Arnautović Arnautovic\n",
+ "22 Tolgay Arslan Arslan\n",
+ "23 Arthur Arthur\n",
+ "24 Santiago Ascacíbar Ascacibar\n",
+ "25 Kristoffer Askildsen Askildsen\n",
+ "26 Kristjan Asllani Asllani\n",
+ "27 Emil Audero Audero\n",
+ "28 Tommaso Augello Augello\n",
+ "29 Kaan Ayhan Ayhan\n",
+ "30 Jaime Báez Baez\n",
+ "31 Nedim Bajrami Bajrami\n",
+ "32 Nedim Bajrami Bajrami\n",
+ "33 Tommaso Baldanzi Baldanzi\n",
+ "34 Fodé Ballo-Touré Ballo-Toure\n",
+ "35 Lameck Banda Banda\n",
+ "36 Filippo Bandinelli Bandinelli\n",
+ "37 Antonín Barák Barak\n",
+ "38 Antonín Barák Barak\n",
+ "39 Andrea Barberis Barberis\n",
+ "40 Nicolò Barella Barella\n",
+ "41 Musa Barrow Barrow\n",
+ "42 Federico Baschirotto Baschirotto\n",
+ "43 Toma Bašić Basic\n",
+ "44 Alessandro Bastoni Bastoni\n",
+ "45 Simone Bastoni Bastoni\n",
+ "46 Brian Bayeye Bayeye\n",
+ "47 Rodrigo Becão Becao\n",
+ "48 Julius Beck Beck\n",
+ "49 Raoul Bellanova Bellanova\n",
+ "50 Andrea Belotti Belotti\n",
+ "51 Marco Benassi Benassi\n",
+ "52 Marco Benassi Benassi\n",
+ "53 Ismaël Bennacer Bennacer\n",
+ "54 Domenico Berardi Berardi\n",
+ "55 Bartosz Bereszyński Bereszynski\n",
+ "56 Beto Beto\n",
+ "57 Matteo Bianchetti Bianchetti\n",
+ "58 Alessandro Bianco Bianco\n",
+ "59 Jaka Bijol Bijol\n",
+ "60 Cristiano Biraghi Biraghi\n",
+ "61 Samuele Birindelli Birindelli\n",
+ "62 Kristijan Bistrović Bistrovic\n",
+ "63 Alexis Blin Blin\n",
+ "64 Jeremie Boga Boga\n",
+ "65 Emil Bohinen Bohinen\n",
+ "66 Giacomo Bonaventura Bonaventura\n",
+ "67 Federico Bonazzoli Bonazzoli\n",
+ "68 Warren Bondo Bondo\n",
+ "69 Kevin Bonifazi Bonifazi\n",
+ "70 Leonardo Bonucci Bonucci\n",
+ "71 Erik Botheim Botheim\n",
+ "72 Mehdi Bourabia Bourabia\n",
+ "73 Edoardo Bove Bove\n",
+ "74 Jayden Braaf Braaf\n",
+ "75 Domagoj Bradarić Bradaric\n",
+ "76 Josip Brekalo Brekalo\n",
+ "77 Gleison Bremer Bremer\n",
+ "78 Dylan Bronn Bronn\n",
+ "79 Marcelo Brozović Brozovic\n",
+ "80 Cristian Buonaiuto Buonaiuto\n",
+ "81 Alessandro Buongiorno Buongiorno\n",
+ "82 Juan Cabal Cabal\n",
+ "83 Liberato Cacace Cacace\n",
+ "84 Davide Calabria Calabria\n",
+ "85 Mattia Caldara Caldara\n",
+ "86 Luca Caldirola Caldirola\n",
+ "87 Hakan Çalhanoğlu Calhanoglu\n",
+ "88 Mohamed Camara Camara\n",
+ "89 Nicolò Cambiaghi Cambiaghi\n",
+ "90 Andrea Cambiaso Cambiaso\n",
+ "91 Matteo Cancellieri Cancellieri\n",
+ "92 Antonio Candreva Candreva\n",
+ "93 Gianluca Caprari Caprari\n",
+ "94 Francesco Caputo Caputo\n",
+ "95 Francesco Caputo Caputo\n",
+ "96 Andrea Carboni Carboni\n",
+ "97 Valentin Carboni Carboni\n",
+ "98 Carlos Carlos\n",
+ "99 Marco Carnesecchi Carnesecchi\n",
+ "100 Nicolò Casale Casale\n",
+ "101 Michele Castagnetti Castagnetti\n",
+ "102 Gaetano Castrovilli Castrovilli\n",
+ "103 Danilo Cataldi Cataldi\n",
+ "104 Federico Ceccherini Ceccherini\n",
+ "105 Assan Ceesay Ceesay\n",
+ "106 Emil Ceide Ceide\n",
+ "107 Zeki Çelik Celik\n",
+ "108 Federico Chiesa Chiesa\n",
+ "109 Vlad Chiricheș Chiriches\n",
+ "110 Daniel Ciofani Ciofani\n",
+ "111 Tio Cipot Cipot\n",
+ "112 Patrick Ciurria Ciurria\n",
+ "113 Omar Colley Colley\n",
+ "114 Lorenzo Colombo Colombo\n",
+ "115 Andrea Colpani Colpani\n",
+ "116 Andrea Consigli Consigli\n",
+ "117 Andrea Conti Conti\n",
+ "118 Diego Coppola Coppola\n",
+ "119 Joaquín Correa Correa\n",
+ "120 Alessandro Cortinovis Cortinovis\n",
+ "121 Lassana Coulibaly Coulibaly\n",
+ "122 Bryan Cristante Cristante\n",
+ "123 Domen Črnigoj Crnigoj\n",
+ "124 Juan Cuadrado Cuadrado\n",
+ "125 Mickaël Cuisance Cuisance\n",
+ "126 Marco D'Alessandro DAlessandro\n",
+ "127 Danilo D'Ambrosio DAmbrosio\n",
+ "128 Luca D'Andrea DAndrea\n",
+ "129 Flavius Daniliuc Daniliuc\n",
+ "130 Danilo Danilo\n",
+ "131 Matteo Darmian Darmian\n",
+ "132 Paweł Dawidowicz Dawidowicz\n",
+ "133 Charles De Ketelaere Ketelaere\n",
+ "134 Manuel De Luca Luca\n",
+ "135 Mattia De Sciglio Sciglio\n",
+ "136 Lorenzo De Silvestri Silvestri\n",
+ "137 Koni De Winter Winter\n",
+ "138 Grégoire Defrel Defrel\n",
+ "139 Duccio Degli Innocenti Innocenti\n",
+ "140 Merih Demiral Demiral\n",
+ "141 Diego Demme Demme\n",
+ "142 Fabio Depaoli Depaoli\n",
+ "143 Fabio Depaoli Depaoli\n",
+ "144 Kastriot Dermaku Dermaku\n",
+ "145 Cyriel Dessers Dessers\n",
+ "146 Sergiño Dest Dest\n",
+ "147 Mattia Destro Destro\n",
+ "148 Gerard Deulofeu Deulofeu\n",
+ "149 Samuel Di Carmine Carmine\n",
+ "150 Federico Di Francesco Francesco\n",
+ "151 Michele Di Gregorio Gregorio\n",
+ "152 Giovanni Di Lorenzo Lorenzo\n",
+ "153 Ángel Di María Maria\n",
+ "154 Boulaye Dia Dia\n",
+ "155 Brahim Díaz Diaz\n",
+ "156 Federico Dimarco Dimarco\n",
+ "157 Koffi Djidji Djidji\n",
+ "158 Berat Djimsiti Djimsiti\n",
+ "159 Dodô Dodo\n",
+ "160 Josh Doig Doig\n",
+ "161 Nicolás Domínguez Dominguez\n",
+ "162 Giulio Donati Donati\n",
+ "163 Bartłomiej Drągowski Dragowski\n",
+ "164 Ondrej Duda Duda\n",
+ "165 Denzel Dumfries Dumfries\n",
+ "166 Alfred Duncan Duncan\n",
+ "167 Paulo Dybala Dybala\n",
+ "168 Edin Džeko Dzeko\n",
+ "169 Festy Ebosele Ebosele\n",
+ "170 Enzo Ebosse Ebosse\n",
+ "171 Tyronne Ebuehi Ebuehi\n",
+ "172 Éderson Ederson\n",
+ "173 Kingsley Ehizibue Ehizibue\n",
+ "174 Albin Ekdal Ekdal\n",
+ "175 Emmanuel Ekong Ekong\n",
+ "176 Mikael Ellertsson Ellertsson\n",
+ "177 Elif Elmas Elmas\n",
+ "178 Martin Erlic Erlic\n",
+ "179 Gonzalo Escalante Escalante\n",
+ "180 Salvatore Esposito Esposito\n",
+ "181 Nicolò Fagioli Fagioli\n",
+ "182 Wladimiro Falcone Falcone\n",
+ "183 Davide Faraoni Faraoni\n",
+ "184 Federico Fazio Fazio\n",
+ "185 Jacopo Fazzini Fazzini\n",
+ "186 Lewis Ferguson Ferguson\n",
+ "187 Alex Ferrari Ferrari\n",
+ "188 Alex Ferrari Ferrari\n",
+ "189 Salvador Ferrer Ferrer\n",
+ "190 Alessandro Florenzi Florenzi\n",
+ "191 Davide Frattesi Frattesi\n",
+ "192 Matteo Gabbia Gabbia\n",
+ "193 Manolo Gabbiadini Gabbiadini\n",
+ "194 Gianluca Gaetano Gaetano\n",
+ "195 Roberto Gagliardini Gagliardini\n",
+ "196 Adolfo Gaich Gaich\n",
+ "197 Pablo Galdames Millán Millan\n",
+ "198 Antonino Gallo Gallo\n",
+ "199 Federico Gatti Gatti\n",
+ "200 Valentin Gendrey Gendrey\n",
+ "201 Paolo Ghiglione Ghiglione\n",
+ "202 Mario Gila Gila\n",
+ "203 Olivier Giroud Giroud\n",
+ "204 Pierluigi Gollini Gollini\n",
+ "205 Joan Gonzàlez Gonzalez\n",
+ "206 Nicolás González Gonzalez\n",
+ "207 Robin Gosens Gosens\n",
+ "208 Alberto Grassi Grassi\n",
+ "209 Koray Günter Gunter\n",
+ "210 Emmanuel Gyasi Gyasi\n",
+ "211 Norbert Gyömbér Gyomber\n",
+ "212 Christian Gytkjær Gytkjr\n",
+ "213 Nicolas Haas Haas\n",
+ "214 Samir Handanović Handanovic\n",
+ "215 Abdou Harroui Harroui\n",
+ "216 Hans Hateboer Hateboer\n",
+ "217 Liam Henderson Henderson\n",
+ "218 Jack Hendry Hendry\n",
+ "219 Matheus Henrique Henrique\n",
+ "220 Thomas Henry Henry\n",
+ "221 Theo Hernández Hernandez\n",
+ "222 Isak Hien Hien\n",
+ "223 Morten Hjulmand Hjulmand\n",
+ "224 Emil Holm Holm\n",
+ "225 Martin Hongla Hongla\n",
+ "226 Petko Hristov Hristov\n",
+ "227 Ajdin Hrustic Hrustic\n",
+ "228 Elseid Hysaj Hysaj\n",
+ "229 Rasmus Højlund Hjlund\n",
+ "230 Roger Ibanez Ibanez\n",
+ "231 Igor Igor\n",
+ "232 Jonathan Ikone Ikone\n",
+ "233 Ivan Ilić Ilic\n",
+ "234 Samuel Iling-Junior Iling-Junior\n",
+ "235 Emirhan İlkhan Ilkhan\n",
+ "236 Ciro Immobile Immobile\n",
+ "237 Ardian Ismajli Ismajli\n",
+ "238 Armando Izzo Izzo\n",
+ "239 Mato Jajalo Jajalo\n",
+ "240 Juan Jesus Jesus\n",
+ "241 Þórir Jóhann Helgason Helgason\n",
+ "242 Luka Jović Jovic\n",
+ "243 Hamed Junior Traorè Traore\n",
+ "244 Yayah Kallon Kallon\n",
+ "245 Pierre Kalulu Kalulu\n",
+ "246 Yann Karamoh Karamoh\n",
+ "247 Rick Karsdorp Karsdorp\n",
+ "248 Denso Kasius Kasius\n",
+ "249 Grigoris Kastanos Kastanos\n",
+ "250 Moise Kean Kean\n",
+ "251 Jakub Kiwior Kiwior\n",
+ "252 Simon Kjær Kjr\n",
+ "253 Teun Koopmeiners Koopmeiners\n",
+ "254 Filip Kostić Kostic\n",
+ "255 Christian Kouamé Kouame\n",
+ "256 Viktor Kovalenko Kovalenko\n",
+ "257 Julian Kristoffersen Kristoffersen\n",
+ "258 Raimonds Krollis Krollis\n",
+ "259 Rade Krunić Krunic\n",
+ "260 Marash Kumbulla Kumbulla\n",
+ "261 Khvicha Kvaratskhelia Kvaratskhelia\n",
+ "262 Giorgos Kyriakopoulos Kyriakopoulos\n",
+ "263 Giorgos Kyriakopoulos Kyriakopoulos\n",
+ "264 Sam Lammers Lammers\n",
+ "265 Sam Lammers Lammers\n",
+ "266 Kevin Lasagna Lasagna\n",
+ "267 Armand Lauriente Lauriente\n",
+ "268 Valentino Lazaro Lazaro\n",
+ "269 Marko Lazetić Lazetic\n",
+ "270 Darko Lazović Lazovic\n",
+ "271 Manuel Lazzari Lazzari\n",
+ "272 Rafael Leão Leao\n",
+ "273 Mehdi Léris Leris\n",
+ "274 Karol Linetty Linetty\n",
+ "275 Marcin Listkowski Listkowski\n",
+ "276 Diego Llorente Llorente\n",
+ "277 Stanislav Lobotka Lobotka\n",
+ "278 Manuel Locatelli Locatelli\n",
+ "279 Luka Lochoshvili Lochoshvili\n",
+ "280 Ademola Lookman Lookman\n",
+ "281 Maxime Lopez Lopez\n",
+ "282 Matteo Lovato Lovato\n",
+ "283 Sandi Lovrić Lovric\n",
+ "284 Hirving Lozano Lozano\n",
+ "285 Jhon Lucumí Lucumi\n",
+ "286 José Luis Palomino Palomino\n",
+ "287 Romelu Lukaku Lukaku\n",
+ "288 Saša Lukić Lukic\n",
+ "289 Sebastiano Luperto Luperto\n",
+ "290 Charalambos Lykogiannis Lykogiannis\n",
+ "291 Giulio Maggiore Maggiore\n",
+ "292 Giangiacomo Magnani Magnani\n",
+ "293 Mike Maignan Maignan\n",
+ "294 Jean-Victor Makengo Makengo\n",
+ "295 Lorenzo Malagrida Malagrida\n",
+ "296 Daniel Maldini Maldini\n",
+ "297 Youssef Maleh Maleh\n",
+ "298 Youssef Maleh Maleh\n",
+ "299 Ruslan Malinovskyi Malinovskyi\n",
+ "300 Gianluca Mancini Mancini\n",
+ "301 Rolando Mandragora Mandragora\n",
+ "302 Riccardo Marchizza Marchizza\n",
+ "303 Gian Marco Ferrari Ferrari\n",
+ "304 Pablo Marí Mari\n",
+ "305 Răzvan Marin Marin\n",
+ "306 Marlon Marlon\n",
+ "307 Luca Marrone Marrone\n",
+ "308 Lautaro Martínez Martinez\n",
+ "309 Lucas Martínez Quarta Quarta\n",
+ "310 Adam Marušić Marusic\n",
+ "311 Adam Masina Masina\n",
+ "312 Nemanja Matić Matic\n",
+ "313 Luís Maximiano Maximiano\n",
+ "314 Pasquale Mazzocchi Mazzocchi\n",
+ "315 Weston McKennie McKennie\n",
+ "316 Gary Medel Medel\n",
+ "317 Soualiho Meïté Meite\n",
+ "318 Alex Meret Meret\n",
+ "319 Yıldırım Mert Çetin Cetin\n",
+ "320 Junior Messias Messias\n",
+ "321 Tommaso Milanese Milanese\n",
+ "322 Nikola Milenković Milenkovic\n",
+ "323 Arkadiusz Milik Milik\n",
+ "324 Sergej Milinković-Savić Milinkovic-Savic\n",
+ "325 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "326 Kim Min-jae Min-jae\n",
+ "327 Aleksei Miranchuk Miranchuk\n",
+ "328 Fabio Miretti Miretti\n",
+ "329 Henrikh Mkhitaryan Mkhitaryan\n",
+ "330 Salvatore Molina Molina\n",
+ "331 Daniele Montevago Montevago\n",
+ "332 Lorenzo Montipò Montipo\n",
+ "333 Nikola Moro Moro\n",
+ "334 Dany Mota Mota\n",
+ "335 João Moutinho Moutinho\n",
+ "336 Mert Müldür Muldur\n",
+ "337 Luis Muriel Muriel\n",
+ "338 Jeison Murillo Murillo\n",
+ "339 Nicola Murru Murru\n",
+ "340 Juan Musso Musso\n",
+ "341 Joakim Mæhle Mhle\n",
+ "342 Michel Ndary Adopo Adopo\n",
+ "343 Tanguy Ndombele Ndombele\n",
+ "344 Ilija Nestorovski Nestorovski\n",
+ "345 Cyril Ngonge Ngonge\n",
+ "346 Hans Nicolussi Caviglia Caviglia\n",
+ "347 Dimitris Nikolaou Nikolaou\n",
+ "348 Bram Nuytinck Nuytinck\n",
+ "349 Bram Nuytinck Nuytinck\n",
+ "350 M'Bala Nzola Nzola\n",
+ "351 Pedro Obiang Obiang\n",
+ "352 Guillermo Ochoa Ochoa\n",
+ "353 David Okereke Okereke\n",
+ "354 Caleb Okoli Okoli\n",
+ "355 Mathías Olivera Olivera\n",
+ "356 André Onana Onana\n",
+ "357 Divock Origi Origi\n",
+ "358 Riccardo Orsolini Orsolini\n",
+ "359 Victor Osimhen Osimhen\n",
+ "360 Remi Oudin Oudin\n",
+ "361 Adam Ounas Ounas\n",
+ "362 Simone Pafundi Pafundi\n",
+ "363 Flavio Paoletti Paoletti\n",
+ "364 Leandro Paredes Paredes\n",
+ "365 Fabiano Parisi Parisi\n",
+ "366 Mario Pašalić Pasalic\n",
+ "367 Patric Patric\n",
+ "368 Rui Patrício Patricio\n",
+ "369 Pedro Pedro\n",
+ "370 Gianluca Pegolo Pegolo\n",
+ "371 Pietro Pellegri Pellegri\n",
+ "372 Lorenzo Pellegrini Pellegrini\n",
+ "373 Pepín Pepin\n",
+ "374 Roberto Pereyra Pereyra\n",
+ "375 Nehuén Pérez Perez\n",
+ "376 Mattia Perin Perin\n",
+ "377 Matteo Pessina Pessina\n",
+ "378 Andrea Petagna Petagna\n",
+ "379 Giuseppe Pezzella Pezzella\n",
+ "380 Krzysztof Piątek Piatek\n",
+ "381 Roberto Piccoli Piccoli\n",
+ "382 Roberto Piccoli Piccoli\n",
+ "383 Charles Pickel Pickel\n",
+ "384 Andrea Pinamonti Pinamonti\n",
+ "385 Lorenzo Pirola Pirola\n",
+ "386 Marko Pjaca Pjaca\n",
+ "387 Tommaso Pobega Pobega\n",
+ "388 Matteo Politano Politano\n",
+ "389 Marin Pongračić Pongracic\n",
+ "390 Stefan Posch Posch\n",
+ "391 Ivan Provedel Provedel\n",
+ "392 Ignacio Pussetto Pussetto\n",
+ "393 Niklas Pyyhtiä Pyyhtia\n",
+ "394 Fabio Quagliarella Quagliarella\n",
+ "395 Giacomo Quagliata Quagliata\n",
+ "396 Adrien Rabiot Rabiot\n",
+ "397 Nemanja Radonjić Radonjic\n",
+ "398 Ivan Radovanović Radovanovic\n",
+ "399 Ionuț Radu Radu\n",
+ "400 Luca Ranieri Ranieri\n",
+ "401 Andrea Ranocchia Ranocchia\n",
+ "402 Filippo Ranocchia Ranocchia\n",
+ "403 Giacomo Raspadori Raspadori\n",
+ "404 Giacomo Raspadori Raspadori\n",
+ "405 Ante Rebić Rebic\n",
+ "406 Arkadiusz Reca Reca\n",
+ "407 Panagiotis Retsos Retsos\n",
+ "408 Franck Ribéry Ribery\n",
+ "409 Samuele Ricci Ricci\n",
+ "410 Tomás Rincón Rincon\n",
+ "411 Pablo Rodríguez Rodriguez\n",
+ "412 Ricardo Rodríguez Rodriguez\n",
+ "413 Rogério Rogerio\n",
+ "414 Alessio Romagnoli Romagnoli\n",
+ "415 Luka Romero Romero\n",
+ "416 Marten de Roon Roon\n",
+ "417 Nicolò Rovella Rovella\n",
+ "418 Nicolò Rovella Rovella\n",
+ "419 Amir Rrahmani Rrahmani\n",
+ "420 Ruan Ruan\n",
+ "421 Daniele Rugani Rugani\n",
+ "422 Matteo Ruggeri Ruggeri\n",
+ "423 Mário Rui Rui\n",
+ "424 Abdelhamid Sabiri Sabiri\n",
+ "425 Alexis Saelemaekers Saelemaekers\n",
+ "426 Jacopo Sala Sala\n",
+ "427 Lazar Samardzic Samardzic\n",
+ "428 Junior Sambia Sambia\n",
+ "429 Antonio Sanabria Sanabria\n",
+ "430 Leandro Sanca Sanca\n",
+ "431 Alex Sandro Sandro\n",
+ "432 Nicola Sansone Sansone\n",
+ "433 Riccardo Saponara Saponara\n",
+ "434 Martin Satriano Satriano\n",
+ "435 Giorgio Scalvini Scalvini\n",
+ "436 Jerdy Schouten Schouten\n",
+ "437 Perr Schuurs Schuurs\n",
+ "438 Demba Seck Seck\n",
+ "439 Jacopo Segre Segre\n",
+ "440 Vivaldo Semedo Semedo\n",
+ "441 Stefano Sensi Sensi\n",
+ "442 Luigi Sepe Sepe\n",
+ "443 Leonardo Sernicola Sernicola\n",
+ "444 Stephan El Shaarawy Shaarawy\n",
+ "445 Eldor Shomurodov Shomurodov\n",
+ "446 Eldor Shomurodov Shomurodov\n",
+ "447 Marco Silvestri Silvestri\n",
+ "448 Giovanni Simeone Simeone\n",
+ "449 Wilfried Singo Singo\n",
+ "450 Leo Skiri Østigård stigard\n",
+ "451 Łukasz Skorupski Skorupski\n",
+ "452 Milan Škriniar Skriniar\n",
+ "453 Chris Smalling Smalling\n",
+ "454 Ola Solbakken Solbakken\n",
+ "455 Brandon Soppy Soppy\n",
+ "456 Brandon Soppy Soppy\n",
+ "457 Roberto Soriano Soriano\n",
+ "458 Joaquin Sosa Sosa\n",
+ "459 Riccardo Sottil Sottil\n",
+ "460 Matìas Soulé Soule\n",
+ "461 Adama Soumaoro Soumaoro\n",
+ "462 Leonardo Spinazzola Spinazzola\n",
+ "463 Marco Sportiello Sportiello\n",
+ "464 Petar Stojanović Stojanovic\n",
+ "465 Gabriel Strefezza Strefezza\n",
+ "466 Dávid Strelec Strelec\n",
+ "467 Isaac Success Success\n",
+ "468 Ibrahim Sulemana Sulemana\n",
+ "469 Wojciech Szczęsny Szczesny\n",
+ "470 Benjamin Tahirovic Tahirovic\n",
+ "471 Adrien Tameze Tameze\n",
+ "472 Ciprian Tătărușanu Tatarusanu\n",
+ "473 Filippo Terracciano Terracciano\n",
+ "474 Pietro Terracciano Terracciano\n",
+ "475 Aleksa Terzić Terzic\n",
+ "476 Florian Thauvin Thauvin\n",
+ "477 Malick Thiaw Thiaw\n",
+ "478 Kristian Thorstvedt Thorstvedt\n",
+ "479 Jeremy Toljan Toljan\n",
+ "480 Rafael Tolói Toloi\n",
+ "481 Fikayo Tomori Tomori\n",
+ "482 Sandro Tonali Tonali\n",
+ "483 William Troost-Ekong Troost-Ekong\n",
+ "484 Frank Tsadjout Tsadjout\n",
+ "485 Alessandro Tuia Tuia\n",
+ "486 Iyenoma Udogie Udogie\n",
+ "487 Samuel Umtiti Umtiti\n",
+ "488 Diego Valencia Valencia\n",
+ "489 Emanuele Valeri Valeri\n",
+ "490 Mattia Valoti Valoti\n",
+ "491 Johan Vásquez Vasquez\n",
+ "492 Matías Vecino Vecino\n",
+ "493 Miguel Veloso Veloso\n",
+ "494 Lorenzo Venuti Venuti\n",
+ "495 Daniele Verde Verde\n",
+ "496 Simone Verdi Verdi\n",
+ "497 Valerio Verre Verre\n",
+ "498 Guglielmo Vicario Vicario\n",
+ "499 Ronaldo Vieira Vieira\n",
+ "500 Ronaldo Vieira Vieira\n",
+ "501 Emanuel Vignato Vignato\n",
+ "502 Samuele Vignato Vignato\n",
+ "503 Tonny Vilhena Vilhena\n",
+ "504 Gonzalo Villar Villar\n",
+ "505 Matías Viña Vina\n",
+ "506 Dušan Vlahović Vlahovic\n",
+ "507 Nikola Vlašić Vlasic\n",
+ "508 Joel Voelkerling Persson Persson\n",
+ "509 Mërgim Vojvoda Vojvoda\n",
+ "510 Cristian Volpato Volpato\n",
+ "511 Aster Vranckx Vranckx\n",
+ "512 Stefan de Vrij Vrij\n",
+ "513 Walace Walace\n",
+ "514 Sebastian Walukiewicz Walukiewicz\n",
+ "515 Georginio Wijnaldum Wijnaldum\n",
+ "516 Harry Winks Winks\n",
+ "517 Przemysław Wiśniewski Wisniewski\n",
+ "518 Gerard Yepes Yepes\n",
+ "519 Mattia Zaccagni Zaccagni\n",
+ "520 Denis Zakaria Zakaria\n",
+ "521 Nicola Zalewski Zalewski\n",
+ "522 Andre-Frank Zambo Anguissa Anguissa\n",
+ "523 Luca Zanimacchia Zanimacchia\n",
+ "524 Nicolò Zaniolo Zaniolo\n",
+ "525 Alessandro Zanoli Zanoli\n",
+ "526 Alessandro Zanoli Zanoli\n",
+ "527 Duván Zapata Zapata\n",
+ "528 Davide Zappacosta Zappacosta\n",
+ "529 Alessio Zerbin Zerbin\n",
+ "530 Piotr Zieliński Zielinski\n",
+ "531 David Zima Zima\n",
+ "532 Joshua Zirkzee Zirkzee\n",
+ "533 Jeroen Zoet Zoet\n",
+ "534 Nadir Zortea Zortea\n",
+ "535 Nadir Zortea Zortea\n",
+ "536 Petar Zovko Zovko\n",
+ "537 Szymon Żurkowski Zurkowski\n",
+ "538 Szymon Żurkowski Zurkowski\n",
+ "539 Milan Đurić uric\n",
+ "540 Filip Đuričić uricic\n",
+ "541 Emil Audero Audero\n",
+ "542 Marco Carnesecchi Carnesecchi\n",
+ "543 Andrea Consigli Consigli\n",
+ "544 Michele Di Gregorio Gregorio\n",
+ "545 Bartłomiej Drągowski Dragowski\n",
+ "546 Wladimiro Falcone Falcone\n",
+ "547 Pierluigi Gollini Gollini\n",
+ "548 Samir Handanović Handanovic\n",
+ "549 Mike Maignan Maignan\n",
+ "550 Luís Maximiano Maximiano\n",
+ "551 Alex Meret Meret\n",
+ "552 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "553 Lorenzo Montipò Montipo\n",
+ "554 Juan Musso Musso\n",
+ "555 Guillermo Ochoa Ochoa\n",
+ "556 André Onana Onana\n",
+ "557 Rui Patrício Patricio\n",
+ "558 Gianluca Pegolo Pegolo\n",
+ "559 Mattia Perin Perin\n",
+ "560 Ivan Provedel Provedel\n",
+ "561 Ionuț Radu Radu\n",
+ "562 Luigi Sepe Sepe\n",
+ "563 Marco Silvestri Silvestri\n",
+ "564 Łukasz Skorupski Skorupski\n",
+ "565 Marco Sportiello Sportiello\n",
+ "566 Wojciech Szczęsny Szczesny\n",
+ "567 Ciprian Tătărușanu Tatarusanu\n",
+ "568 Pietro Terracciano Terracciano\n",
+ "569 Guglielmo Vicario Vicario\n",
+ "570 Jeroen Zoet Zoet\n",
+ "571 Petar Zovko Zovko\n"
]
}
],
@@ -787,7 +803,7 @@
},
{
"cell_type": "code",
- "execution_count": 106,
+ "execution_count": 7,
"id": "3e759b1b",
"metadata": {},
"outputs": [
@@ -920,7 +936,7 @@
"10 Martinez Alvarez Sassuolo"
]
},
- "execution_count": 106,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -949,7 +965,7 @@
},
{
"cell_type": "code",
- "execution_count": 107,
+ "execution_count": 8,
"id": "f96eaaa1",
"metadata": {},
"outputs": [
@@ -957,22 +973,22 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2263921821.py:17: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2263921821.py:17: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" fc_players['surname'][i] = spl[-1]\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2263921821.py:18: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2263921821.py:18: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" fc_players['initial'][i] = ''\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2263921821.py:14: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2263921821.py:14: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" fc_players['surname'][i] = spl[-2]\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2263921821.py:15: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2263921821.py:15: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1130,7 +1146,7 @@
"[543 rows x 6 columns]"
]
},
- "execution_count": 107,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -1169,7 +1185,7 @@
},
{
"cell_type": "code",
- "execution_count": 108,
+ "execution_count": 9,
"id": "9c50e4b5",
"metadata": {},
"outputs": [
@@ -1177,12 +1193,12 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2200947104.py:4: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2200947104.py:4: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" fc_players['fb_ID'][i] = -1\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2200947104.py:11: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2200947104.py:11: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1225,7 +1241,7 @@
},
{
"cell_type": "code",
- "execution_count": 109,
+ "execution_count": 10,
"id": "18f6c5f2",
"metadata": {},
"outputs": [
@@ -1233,7 +1249,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\362391242.py:10: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\362391242.py:10: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1280,18 +1296,14 @@
"Saro not found\n",
"Vasquez D. not found\n",
"Turk not found\n",
- "Kyriakopoulos from previous team stats\n",
- "Llorente D. not found\n",
"Pellegrini Lu. not found\n",
"Gravillon not found\n",
"Gunter from previous team stats\n",
"Ceccaroni not found\n",
"Bereszynski from previous team stats\n",
- "Zortea from previous team stats\n",
"Aiwu not found\n",
"Zeefuik not found\n",
"Romagnoli S. not found\n",
- "Wisniewski not found\n",
"Tonelli not found\n",
"Radu from previous team stats\n",
"Paletta not found\n",
@@ -1305,35 +1317,24 @@
"Guessand A. not found\n",
"Guarino not found\n",
"Pogba not found\n",
- "Bajrami from previous team stats\n",
"Ilic from previous team stats\n",
"Machin not found\n",
- "Cuisance not found\n",
"Akpa Akpro not found\n",
- "Vieira from previous team stats\n",
"Galdames not found\n",
- "Abildgaard not found\n",
"Vignato from previous team stats\n",
"Bakayoko not found\n",
"Darboe not found\n",
"Urbanski not found\n",
"Bertini not found\n",
"Trimboli not found\n",
- "Pafundi not found\n",
"Samek not found\n",
"Ilkhan from previous team stats\n",
"Acella not found\n",
"Faticanti not found\n",
- "Thauvin not found\n",
- "Brekalo not found\n",
- "Gaich not found\n",
- "Piccoli from previous team stats\n",
- "Shomurodov from previous team stats\n",
"Ibrahimovic not found\n",
"Oddei not found\n",
"Raimondo not found\n",
"Kaio Jorge not found\n",
- "Krollis not found\n",
"Vivaldo not found\n"
]
}
@@ -1358,7 +1359,7 @@
},
{
"cell_type": "code",
- "execution_count": 110,
+ "execution_count": 11,
"id": "3b4a36af",
"metadata": {},
"outputs": [
@@ -1401,7 +1402,7 @@
" Napoli \n",
" Meret \n",
" \n",
- " 535 \n",
+ " 551 \n",
" \n",
" \n",
" 1 \n",
@@ -1411,7 +1412,7 @@
" Lazio \n",
" Provedel \n",
" \n",
- " 544 \n",
+ " 560 \n",
" \n",
" \n",
" 2 \n",
@@ -1421,7 +1422,7 @@
" Empoli \n",
" Vicario \n",
" \n",
- " 553 \n",
+ " 569 \n",
" \n",
" \n",
" 3 \n",
@@ -1431,7 +1432,7 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 550 \n",
+ " 566 \n",
" \n",
" \n",
" 4 \n",
@@ -1441,7 +1442,7 @@
" Lecce \n",
" Falcone \n",
" \n",
- " 530 \n",
+ " 546 \n",
" \n",
" \n",
" ... \n",
@@ -1461,7 +1462,7 @@
" Sampdoria \n",
" Luca \n",
" \n",
- " 130 \n",
+ " 134 \n",
" \n",
" \n",
" 539 \n",
@@ -1471,7 +1472,7 @@
" Lecce \n",
" Persson \n",
" \n",
- " 494 \n",
+ " 508 \n",
" \n",
" \n",
" 540 \n",
@@ -1481,7 +1482,7 @@
" Sampdoria \n",
" Montevago \n",
" \n",
- " 322 \n",
+ " 331 \n",
" \n",
" \n",
" 541 \n",
@@ -1491,7 +1492,7 @@
" Spezia \n",
" Krollis \n",
" \n",
- " -1 \n",
+ " 258 \n",
" \n",
" \n",
" 542 \n",
@@ -1510,22 +1511,22 @@
],
"text/plain": [
" id r name team surname initial fb_ID\n",
- "0 572 P Meret Napoli Meret 535\n",
- "1 2814 P Provedel Lazio Provedel 544\n",
- "2 4964 P Vicario Empoli Vicario 553\n",
- "3 453 P Szczesny Juventus Szczesny 550\n",
- "4 2134 P Falcone Lecce Falcone 530\n",
+ "0 572 P Meret Napoli Meret 551\n",
+ "1 2814 P Provedel Lazio Provedel 560\n",
+ "2 4964 P Vicario Empoli Vicario 569\n",
+ "3 453 P Szczesny Juventus Szczesny 566\n",
+ "4 2134 P Falcone Lecce Falcone 546\n",
".. ... .. ... ... ... ... ...\n",
- "538 5512 A De Luca Sampdoria Luca 130\n",
- "539 5837 A Voelkerling Persson Lecce Persson 494\n",
- "540 6113 A Montevago Sampdoria Montevago 322\n",
- "541 6143 A Krollis Spezia Krollis -1\n",
+ "538 5512 A De Luca Sampdoria Luca 134\n",
+ "539 5837 A Voelkerling Persson Lecce Persson 508\n",
+ "540 6113 A Montevago Sampdoria Montevago 331\n",
+ "541 6143 A Krollis Spezia Krollis 258\n",
"542 6160 A Vivaldo Udinese Vivaldo -1\n",
"\n",
"[543 rows x 7 columns]"
]
},
- "execution_count": 110,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -1544,7 +1545,7 @@
},
{
"cell_type": "code",
- "execution_count": 111,
+ "execution_count": 12,
"id": "1d73a312",
"metadata": {},
"outputs": [
@@ -1552,57 +1553,39 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\2261782218.py:9: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\2261782218.py:9: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1625,7 +1608,7 @@
},
{
"cell_type": "code",
- "execution_count": 112,
+ "execution_count": 13,
"id": "7acb93e3",
"metadata": {},
"outputs": [
@@ -1650,7 +1633,7 @@
" dtype='object')"
]
},
- "execution_count": 112,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -1661,7 +1644,7 @@
},
{
"cell_type": "code",
- "execution_count": 113,
+ "execution_count": 14,
"id": "eb9127a9",
"metadata": {},
"outputs": [
@@ -1669,87 +1652,87 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7584\\3664433845.py:11: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_16864\\3664433845.py:11: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1773,7 +1756,7 @@
},
{
"cell_type": "code",
- "execution_count": 114,
+ "execution_count": 15,
"id": "da977789",
"metadata": {},
"outputs": [
@@ -1830,20 +1813,20 @@
" Napoli \n",
" Meret \n",
" \n",
- " 535 \n",
- " 25-319 \n",
+ " 551 \n",
+ " 25-325 \n",
" 1997 \n",
" 0 \n",
" ... \n",
" 26.7 \n",
- " 118 \n",
- " 20.3 \n",
- " 27.5 \n",
- " 213 \n",
+ " 128 \n",
+ " 19.5 \n",
+ " 27.1 \n",
+ " 221 \n",
" 6 \n",
- " 2.8 \n",
+ " 2.7 \n",
" 24 \n",
- " 1.20 \n",
+ " 1.14 \n",
" 17.2 \n",
" \n",
" \n",
@@ -1854,21 +1837,21 @@
" Lazio \n",
" Provedel \n",
" \n",
- " 544 \n",
- " 28-324 \n",
+ " 560 \n",
+ " 28-330 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 32.8 \n",
- " 119 \n",
- " 33.6 \n",
+ " 33.0 \n",
+ " 120 \n",
" 34.2 \n",
- " 266 \n",
+ " 34.5 \n",
+ " 279 \n",
" 7 \n",
- " 2.6 \n",
- " 37 \n",
+ " 2.5 \n",
+ " 39 \n",
" 1.86 \n",
- " 18.0 \n",
+ " 18.2 \n",
" \n",
" \n",
" 2 \n",
@@ -1878,21 +1861,21 @@
" Empoli \n",
" Vicario \n",
" \n",
- " 553 \n",
- " 26-120 \n",
+ " 569 \n",
+ " 26-126 \n",
" 1996 \n",
" 0 \n",
" ... \n",
- " 34.3 \n",
- " 107 \n",
- " 47.7 \n",
- " 42.5 \n",
- " 412 \n",
+ " 34.0 \n",
+ " 108 \n",
+ " 47.2 \n",
+ " 42.4 \n",
+ " 426 \n",
" 25 \n",
- " 6.1 \n",
- " 10 \n",
- " 0.50 \n",
- " 10.7 \n",
+ " 5.9 \n",
+ " 12 \n",
+ " 0.57 \n",
+ " 10.9 \n",
" \n",
" \n",
" 3 \n",
@@ -1902,21 +1885,21 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 550 \n",
- " 32-292 \n",
+ " 566 \n",
+ " 32-298 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 35.2 \n",
- " 62 \n",
- " 40.3 \n",
- " 38.9 \n",
- " 159 \n",
+ " 35.0 \n",
+ " 72 \n",
+ " 41.7 \n",
+ " 38.7 \n",
+ " 178 \n",
" 4 \n",
- " 2.5 \n",
- " 10 \n",
- " 0.74 \n",
- " 15.1 \n",
+ " 2.2 \n",
+ " 12 \n",
+ " 0.83 \n",
+ " 15.8 \n",
" \n",
" \n",
" 4 \n",
@@ -1926,20 +1909,20 @@
" Lecce \n",
" Falcone \n",
" \n",
- " 530 \n",
- " 27-298 \n",
+ " 546 \n",
+ " 27-304 \n",
" 1995 \n",
" 0 \n",
" ... \n",
- " 40.9 \n",
- " 156 \n",
- " 75.0 \n",
- " 51.4 \n",
- " 302 \n",
- " 13 \n",
- " 4.3 \n",
+ " 41.3 \n",
+ " 163 \n",
+ " 76.1 \n",
+ " 51.7 \n",
+ " 316 \n",
+ " 15 \n",
+ " 4.7 \n",
" 20 \n",
- " 1.00 \n",
+ " 0.95 \n",
" 12.5 \n",
" \n",
" \n",
@@ -1974,8 +1957,8 @@
" Sampdoria \n",
" Luca \n",
" \n",
- " 130 \n",
- " 24-202 \n",
+ " 134 \n",
+ " 24-208 \n",
" 1998 \n",
" 1 \n",
" ... \n",
@@ -1998,10 +1981,10 @@
" Lecce \n",
" Persson \n",
" \n",
- " 494 \n",
- " 20-020 \n",
+ " 508 \n",
+ " 20-026 \n",
" 2003 \n",
- " 2 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0 \n",
@@ -2022,8 +2005,8 @@
" Sampdoria \n",
" Montevago \n",
" \n",
- " 322 \n",
- " 19-323 \n",
+ " 331 \n",
+ " 19-329 \n",
" 2003 \n",
" 6 \n",
" ... \n",
@@ -2046,10 +2029,10 @@
" Spezia \n",
" Krollis \n",
" \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " 258 \n",
+ " 21-105 \n",
+ " 2001 \n",
+ " 1 \n",
" ... \n",
" 0.0 \n",
" 0 \n",
@@ -2088,42 +2071,42 @@
" \n",
" \n",
"\n",
- "543 rows × 167 columns
\n",
+ "543 rows × 158 columns
\n",
""
],
"text/plain": [
" id r name team surname initial fb_ID \\\n",
- "0 572 P Meret Napoli Meret 535 \n",
- "1 2814 P Provedel Lazio Provedel 544 \n",
- "2 4964 P Vicario Empoli Vicario 553 \n",
- "3 453 P Szczesny Juventus Szczesny 550 \n",
- "4 2134 P Falcone Lecce Falcone 530 \n",
+ "0 572 P Meret Napoli Meret 551 \n",
+ "1 2814 P Provedel Lazio Provedel 560 \n",
+ "2 4964 P Vicario Empoli Vicario 569 \n",
+ "3 453 P Szczesny Juventus Szczesny 566 \n",
+ "4 2134 P Falcone Lecce Falcone 546 \n",
".. ... .. ... ... ... ... ... \n",
- "538 5512 A De Luca Sampdoria Luca 130 \n",
- "539 5837 A Voelkerling Persson Lecce Persson 494 \n",
- "540 6113 A Montevago Sampdoria Montevago 322 \n",
- "541 6143 A Krollis Spezia Krollis -1 \n",
+ "538 5512 A De Luca Sampdoria Luca 134 \n",
+ "539 5837 A Voelkerling Persson Lecce Persson 508 \n",
+ "540 6113 A Montevago Sampdoria Montevago 331 \n",
+ "541 6143 A Krollis Spezia Krollis 258 \n",
"542 6160 A Vivaldo Udinese Vivaldo -1 \n",
"\n",
" age birth_year games ... gk_passes_length_avg gk_goal_kicks \\\n",
- "0 25-319 1997 0 ... 26.7 118 \n",
- "1 28-324 1994 0 ... 32.8 119 \n",
- "2 26-120 1996 0 ... 34.3 107 \n",
- "3 32-292 1990 0 ... 35.2 62 \n",
- "4 27-298 1995 0 ... 40.9 156 \n",
+ "0 25-325 1997 0 ... 26.7 128 \n",
+ "1 28-330 1994 0 ... 33.0 120 \n",
+ "2 26-126 1996 0 ... 34.0 108 \n",
+ "3 32-298 1990 0 ... 35.0 72 \n",
+ "4 27-304 1995 0 ... 41.3 163 \n",
".. ... ... ... ... ... ... \n",
- "538 24-202 1998 1 ... 0.0 0 \n",
- "539 20-020 2003 2 ... 0.0 0 \n",
- "540 19-323 2003 6 ... 0.0 0 \n",
- "541 0 0 0 ... 0.0 0 \n",
+ "538 24-208 1998 1 ... 0.0 0 \n",
+ "539 20-026 2003 3 ... 0.0 0 \n",
+ "540 19-329 2003 6 ... 0.0 0 \n",
+ "541 21-105 2001 1 ... 0.0 0 \n",
"542 0 0 0 ... 0.0 0 \n",
"\n",
" gk_pct_goal_kicks_launched gk_goal_kick_length_avg gk_crosses \\\n",
- "0 20.3 27.5 213 \n",
- "1 33.6 34.2 266 \n",
- "2 47.7 42.5 412 \n",
- "3 40.3 38.9 159 \n",
- "4 75.0 51.4 302 \n",
+ "0 19.5 27.1 221 \n",
+ "1 34.2 34.5 279 \n",
+ "2 47.2 42.4 426 \n",
+ "3 41.7 38.7 178 \n",
+ "4 76.1 51.7 316 \n",
".. ... ... ... \n",
"538 0.0 0.0 0 \n",
"539 0.0 0.0 0 \n",
@@ -2132,11 +2115,11 @@
"542 0.0 0.0 0 \n",
"\n",
" gk_crosses_stopped gk_crosses_stopped_pct \\\n",
- "0 6 2.8 \n",
- "1 7 2.6 \n",
- "2 25 6.1 \n",
- "3 4 2.5 \n",
- "4 13 4.3 \n",
+ "0 6 2.7 \n",
+ "1 7 2.5 \n",
+ "2 25 5.9 \n",
+ "3 4 2.2 \n",
+ "4 15 4.7 \n",
".. ... ... \n",
"538 0 0.0 \n",
"539 0 0.0 \n",
@@ -2145,11 +2128,11 @@
"542 0 0.0 \n",
"\n",
" gk_def_actions_outside_pen_area gk_def_actions_outside_pen_area_per90 \\\n",
- "0 24 1.20 \n",
- "1 37 1.86 \n",
- "2 10 0.50 \n",
- "3 10 0.74 \n",
- "4 20 1.00 \n",
+ "0 24 1.14 \n",
+ "1 39 1.86 \n",
+ "2 12 0.57 \n",
+ "3 12 0.83 \n",
+ "4 20 0.95 \n",
".. ... ... \n",
"538 0 0.00 \n",
"539 0 0.00 \n",
@@ -2159,9 +2142,9 @@
"\n",
" gk_avg_distance_def_actions \n",
"0 17.2 \n",
- "1 18.0 \n",
- "2 10.7 \n",
- "3 15.1 \n",
+ "1 18.2 \n",
+ "2 10.9 \n",
+ "3 15.8 \n",
"4 12.5 \n",
".. ... \n",
"538 0.0 \n",
@@ -2170,10 +2153,10 @@
"541 0.0 \n",
"542 0.0 \n",
"\n",
- "[543 rows x 167 columns]"
+ "[543 rows x 158 columns]"
]
},
- "execution_count": 114,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -2192,7 +2175,7 @@
},
{
"cell_type": "code",
- "execution_count": 115,
+ "execution_count": 16,
"id": "6a0e43cd",
"metadata": {},
"outputs": [],
@@ -2212,7 +2195,7 @@
},
{
"cell_type": "code",
- "execution_count": 116,
+ "execution_count": 17,
"id": "61fac91a",
"metadata": {},
"outputs": [
@@ -2220,8 +2203,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "vote_avg 6.217187\n",
- "vote_std 0.440141\n",
+ "vote_avg 6.211716\n",
+ "vote_std 0.441335\n",
"dtype: float64\n"
]
},
@@ -2253,43 +2236,43 @@
" \n",
" \n",
" 0 \n",
- " 6.275000 \n",
- " 0.486698 \n",
+ " 6.261905 \n",
+ " 0.478566 \n",
" \n",
" \n",
" 1 \n",
- " 6.225000 \n",
- " 0.334477 \n",
+ " 6.261905 \n",
+ " 0.365769 \n",
" \n",
" \n",
" 2 \n",
- " 6.450000 \n",
- " 0.384057 \n",
+ " 6.476190 \n",
+ " 0.392677 \n",
" \n",
" \n",
" 3 \n",
- " 6.035714 \n",
- " 0.351745 \n",
+ " 6.033333 \n",
+ " 0.339935 \n",
" \n",
" \n",
" 4 \n",
- " 6.325000 \n",
- " 0.363146 \n",
+ " 6.309524 \n",
+ " 0.361089 \n",
" \n",
" \n",
" 5 \n",
- " 6.275000 \n",
- " 0.432290 \n",
+ " 6.285714 \n",
+ " 0.424585 \n",
" \n",
" \n",
" 6 \n",
" 6.000000 \n",
- " 0.447214 \n",
+ " 0.436436 \n",
" \n",
" \n",
" 7 \n",
- " 6.125000 \n",
- " 0.297560 \n",
+ " 6.115385 \n",
+ " 0.287820 \n",
" \n",
" \n",
" 8 \n",
@@ -2298,13 +2281,13 @@
" \n",
" \n",
" 9 \n",
- " 6.125000 \n",
- " 0.414578 \n",
+ " 6.142857 \n",
+ " 0.412393 \n",
" \n",
" \n",
" 10 \n",
- " 6.153846 \n",
- " 0.302846 \n",
+ " 6.178571 \n",
+ " 0.305143 \n",
" \n",
" \n",
" 11 \n",
@@ -2313,48 +2296,48 @@
" \n",
" \n",
" 12 \n",
- " 6.363636 \n",
- " 0.642824 \n",
+ " 6.375000 \n",
+ " 0.616610 \n",
" \n",
" \n",
" 13 \n",
- " 6.275000 \n",
- " 0.580409 \n",
+ " 6.261905 \n",
+ " 0.569441 \n",
" \n",
" \n",
" 14 \n",
- " 6.300000 \n",
- " 0.458258 \n",
+ " 6.285714 \n",
+ " 0.451754 \n",
" \n",
" \n",
" 15 \n",
- " 6.275000 \n",
- " 0.511737 \n",
+ " 6.261905 \n",
+ " 0.502826 \n",
" \n",
" \n",
" 16 \n",
- " 6.150000 \n",
- " 0.502494 \n",
+ " 6.119048 \n",
+ " 0.509546 \n",
" \n",
" \n",
" 17 \n",
- " 6.111111 \n",
- " 0.314270 \n",
+ " 6.105263 \n",
+ " 0.306892 \n",
" \n",
" \n",
" 18 \n",
- " 6.194444 \n",
- " 0.412946 \n",
+ " 6.131579 \n",
+ " 0.482376 \n",
" \n",
" \n",
" 19 \n",
- " 6.000000 \n",
- " 0.383482 \n",
+ " 5.972222 \n",
+ " 0.389880 \n",
" \n",
" \n",
" 20 \n",
- " 5.884615 \n",
- " 0.348284 \n",
+ " 5.928571 \n",
+ " 0.371154 \n",
" \n",
" \n",
" 21 \n",
@@ -2373,8 +2356,8 @@
" \n",
" \n",
" 24 \n",
- " 6.600000 \n",
- " 0.583095 \n",
+ " 6.500000 \n",
+ " 0.577350 \n",
" \n",
" \n",
"\n",
@@ -2382,34 +2365,34 @@
],
"text/plain": [
" vote_avg vote_std\n",
- "0 6.275000 0.486698\n",
- "1 6.225000 0.334477\n",
- "2 6.450000 0.384057\n",
- "3 6.035714 0.351745\n",
- "4 6.325000 0.363146\n",
- "5 6.275000 0.432290\n",
- "6 6.000000 0.447214\n",
- "7 6.125000 0.297560\n",
+ "0 6.261905 0.478566\n",
+ "1 6.261905 0.365769\n",
+ "2 6.476190 0.392677\n",
+ "3 6.033333 0.339935\n",
+ "4 6.309524 0.361089\n",
+ "5 6.285714 0.424585\n",
+ "6 6.000000 0.436436\n",
+ "7 6.115385 0.287820\n",
"8 6.366667 0.426875\n",
- "9 6.125000 0.414578\n",
- "10 6.153846 0.302846\n",
+ "9 6.142857 0.412393\n",
+ "10 6.178571 0.305143\n",
"11 6.357143 0.440315\n",
- "12 6.363636 0.642824\n",
- "13 6.275000 0.580409\n",
- "14 6.300000 0.458258\n",
- "15 6.275000 0.511737\n",
- "16 6.150000 0.502494\n",
- "17 6.111111 0.314270\n",
- "18 6.194444 0.412946\n",
- "19 6.000000 0.383482\n",
- "20 5.884615 0.348284\n",
+ "12 6.375000 0.616610\n",
+ "13 6.261905 0.569441\n",
+ "14 6.285714 0.451754\n",
+ "15 6.261905 0.502826\n",
+ "16 6.119048 0.509546\n",
+ "17 6.105263 0.306892\n",
+ "18 6.131579 0.482376\n",
+ "19 5.972222 0.389880\n",
+ "20 5.928571 0.371154\n",
"21 6.062500 0.526634\n",
"22 6.071429 0.494872\n",
"23 6.428571 0.562429\n",
- "24 6.600000 0.583095"
+ "24 6.500000 0.577350"
]
},
- "execution_count": 116,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -2448,7 +2431,7 @@
},
{
"cell_type": "code",
- "execution_count": 117,
+ "execution_count": 18,
"id": "c9312080",
"metadata": {},
"outputs": [
@@ -2480,28 +2463,28 @@
" \n",
" \n",
" 0 \n",
- " 6.275000 \n",
- " 0.486698 \n",
+ " 6.261905 \n",
+ " 0.478566 \n",
" \n",
" \n",
" 1 \n",
- " 6.225000 \n",
- " 0.334477 \n",
+ " 6.261905 \n",
+ " 0.365769 \n",
" \n",
" \n",
" 2 \n",
- " 6.450000 \n",
- " 0.384057 \n",
+ " 6.476190 \n",
+ " 0.392677 \n",
" \n",
" \n",
" 3 \n",
- " 6.035714 \n",
- " 0.351745 \n",
+ " 6.033333 \n",
+ " 0.339935 \n",
" \n",
" \n",
" 4 \n",
- " 6.325000 \n",
- " 0.363146 \n",
+ " 6.309524 \n",
+ " 0.361089 \n",
" \n",
" \n",
" ... \n",
@@ -2510,28 +2493,28 @@
" \n",
" \n",
" 538 \n",
- " 5.881660 \n",
- " 0.665426 \n",
+ " 5.947397 \n",
+ " 0.490100 \n",
" \n",
" \n",
" 539 \n",
- " 6.227492 \n",
- " 0.259439 \n",
+ " 5.694209 \n",
+ " 0.383547 \n",
" \n",
" \n",
" 540 \n",
- " 5.956291 \n",
- " 0.615163 \n",
+ " 5.623932 \n",
+ " 0.280948 \n",
" \n",
" \n",
" 541 \n",
- " 5.699562 \n",
- " 0.705829 \n",
+ " 6.124287 \n",
+ " 0.483769 \n",
" \n",
" \n",
" 542 \n",
- " 5.888111 \n",
- " 0.648879 \n",
+ " 6.215679 \n",
+ " 0.378965 \n",
" \n",
" \n",
"\n",
@@ -2540,22 +2523,22 @@
],
"text/plain": [
" vote_avg vote_std\n",
- "0 6.275000 0.486698\n",
- "1 6.225000 0.334477\n",
- "2 6.450000 0.384057\n",
- "3 6.035714 0.351745\n",
- "4 6.325000 0.363146\n",
+ "0 6.261905 0.478566\n",
+ "1 6.261905 0.365769\n",
+ "2 6.476190 0.392677\n",
+ "3 6.033333 0.339935\n",
+ "4 6.309524 0.361089\n",
".. ... ...\n",
- "538 5.881660 0.665426\n",
- "539 6.227492 0.259439\n",
- "540 5.956291 0.615163\n",
- "541 5.699562 0.705829\n",
- "542 5.888111 0.648879\n",
+ "538 5.947397 0.490100\n",
+ "539 5.694209 0.383547\n",
+ "540 5.623932 0.280948\n",
+ "541 6.124287 0.483769\n",
+ "542 6.215679 0.378965\n",
"\n",
"[543 rows x 2 columns]"
]
},
- "execution_count": 117,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -2600,7 +2583,7 @@
},
{
"cell_type": "code",
- "execution_count": 118,
+ "execution_count": 19,
"id": "b2570ce5",
"metadata": {},
"outputs": [
@@ -2657,21 +2640,21 @@
" Napoli \n",
" Meret \n",
" \n",
- " 535 \n",
- " 25-319 \n",
+ " 551 \n",
+ " 25-325 \n",
" 1997 \n",
" 0 \n",
" ... \n",
- " 20.3 \n",
- " 27.5 \n",
- " 213 \n",
+ " 19.5 \n",
+ " 27.1 \n",
+ " 221 \n",
" 6 \n",
- " 2.8 \n",
+ " 2.7 \n",
" 24 \n",
- " 1.20 \n",
+ " 1.14 \n",
" 17.2 \n",
- " 6.275000 \n",
- " 0.486698 \n",
+ " 6.261905 \n",
+ " 0.478566 \n",
" \n",
" \n",
" 1 \n",
@@ -2681,21 +2664,21 @@
" Lazio \n",
" Provedel \n",
" \n",
- " 544 \n",
- " 28-324 \n",
+ " 560 \n",
+ " 28-330 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 33.6 \n",
" 34.2 \n",
- " 266 \n",
+ " 34.5 \n",
+ " 279 \n",
" 7 \n",
- " 2.6 \n",
- " 37 \n",
+ " 2.5 \n",
+ " 39 \n",
" 1.86 \n",
- " 18.0 \n",
- " 6.225000 \n",
- " 0.334477 \n",
+ " 18.2 \n",
+ " 6.261905 \n",
+ " 0.365769 \n",
" \n",
" \n",
" 2 \n",
@@ -2705,21 +2688,21 @@
" Empoli \n",
" Vicario \n",
" \n",
- " 553 \n",
- " 26-120 \n",
+ " 569 \n",
+ " 26-126 \n",
" 1996 \n",
" 0 \n",
" ... \n",
- " 47.7 \n",
- " 42.5 \n",
- " 412 \n",
+ " 47.2 \n",
+ " 42.4 \n",
+ " 426 \n",
" 25 \n",
- " 6.1 \n",
- " 10 \n",
- " 0.50 \n",
- " 10.7 \n",
- " 6.450000 \n",
- " 0.384057 \n",
+ " 5.9 \n",
+ " 12 \n",
+ " 0.57 \n",
+ " 10.9 \n",
+ " 6.476190 \n",
+ " 0.392677 \n",
" \n",
" \n",
" 3 \n",
@@ -2729,21 +2712,21 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 550 \n",
- " 32-292 \n",
+ " 566 \n",
+ " 32-298 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 40.3 \n",
- " 38.9 \n",
- " 159 \n",
+ " 41.7 \n",
+ " 38.7 \n",
+ " 178 \n",
" 4 \n",
- " 2.5 \n",
- " 10 \n",
- " 0.74 \n",
- " 15.1 \n",
- " 6.035714 \n",
- " 0.351745 \n",
+ " 2.2 \n",
+ " 12 \n",
+ " 0.83 \n",
+ " 15.8 \n",
+ " 6.033333 \n",
+ " 0.339935 \n",
" \n",
" \n",
" 4 \n",
@@ -2753,21 +2736,21 @@
" Lecce \n",
" Falcone \n",
" \n",
- " 530 \n",
- " 27-298 \n",
+ " 546 \n",
+ " 27-304 \n",
" 1995 \n",
" 0 \n",
" ... \n",
- " 75.0 \n",
- " 51.4 \n",
- " 302 \n",
- " 13 \n",
- " 4.3 \n",
+ " 76.1 \n",
+ " 51.7 \n",
+ " 316 \n",
+ " 15 \n",
+ " 4.7 \n",
" 20 \n",
- " 1.00 \n",
+ " 0.95 \n",
" 12.5 \n",
- " 6.325000 \n",
- " 0.363146 \n",
+ " 6.309524 \n",
+ " 0.361089 \n",
" \n",
" \n",
" ... \n",
@@ -2801,8 +2784,8 @@
" Sampdoria \n",
" Luca \n",
" \n",
- " 130 \n",
- " 24-202 \n",
+ " 134 \n",
+ " 24-208 \n",
" 1998 \n",
" 1 \n",
" ... \n",
@@ -2814,8 +2797,8 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.881660 \n",
- " 0.665426 \n",
+ " 5.947397 \n",
+ " 0.490100 \n",
" \n",
" \n",
" 539 \n",
@@ -2825,10 +2808,10 @@
" Lecce \n",
" Persson \n",
" \n",
- " 494 \n",
- " 20-020 \n",
+ " 508 \n",
+ " 20-026 \n",
" 2003 \n",
- " 2 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -2838,8 +2821,8 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.227492 \n",
- " 0.259439 \n",
+ " 5.694209 \n",
+ " 0.383547 \n",
" \n",
" \n",
" 540 \n",
@@ -2849,8 +2832,8 @@
" Sampdoria \n",
" Montevago \n",
" \n",
- " 322 \n",
- " 19-323 \n",
+ " 331 \n",
+ " 19-329 \n",
" 2003 \n",
" 6 \n",
" ... \n",
@@ -2862,8 +2845,8 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.956291 \n",
- " 0.615163 \n",
+ " 5.623932 \n",
+ " 0.280948 \n",
" \n",
" \n",
" 541 \n",
@@ -2873,10 +2856,10 @@
" Spezia \n",
" Krollis \n",
" \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " 258 \n",
+ " 21-105 \n",
+ " 2001 \n",
+ " 1 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -2886,8 +2869,8 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.699562 \n",
- " 0.705829 \n",
+ " 6.124287 \n",
+ " 0.483769 \n",
" \n",
" \n",
" 542 \n",
@@ -2910,47 +2893,47 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.888111 \n",
- " 0.648879 \n",
+ " 6.215679 \n",
+ " 0.378965 \n",
" \n",
" \n",
"\n",
- "543 rows × 169 columns
\n",
+ "543 rows × 160 columns
\n",
""
],
"text/plain": [
" id r name team surname initial fb_ID \\\n",
- "0 572 P Meret Napoli Meret 535 \n",
- "1 2814 P Provedel Lazio Provedel 544 \n",
- "2 4964 P Vicario Empoli Vicario 553 \n",
- "3 453 P Szczesny Juventus Szczesny 550 \n",
- "4 2134 P Falcone Lecce Falcone 530 \n",
+ "0 572 P Meret Napoli Meret 551 \n",
+ "1 2814 P Provedel Lazio Provedel 560 \n",
+ "2 4964 P Vicario Empoli Vicario 569 \n",
+ "3 453 P Szczesny Juventus Szczesny 566 \n",
+ "4 2134 P Falcone Lecce Falcone 546 \n",
".. ... .. ... ... ... ... ... \n",
- "538 5512 A De Luca Sampdoria Luca 130 \n",
- "539 5837 A Voelkerling Persson Lecce Persson 494 \n",
- "540 6113 A Montevago Sampdoria Montevago 322 \n",
- "541 6143 A Krollis Spezia Krollis -1 \n",
+ "538 5512 A De Luca Sampdoria Luca 134 \n",
+ "539 5837 A Voelkerling Persson Lecce Persson 508 \n",
+ "540 6113 A Montevago Sampdoria Montevago 331 \n",
+ "541 6143 A Krollis Spezia Krollis 258 \n",
"542 6160 A Vivaldo Udinese Vivaldo -1 \n",
"\n",
" age birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 25-319 1997 0 ... 20.3 \n",
- "1 28-324 1994 0 ... 33.6 \n",
- "2 26-120 1996 0 ... 47.7 \n",
- "3 32-292 1990 0 ... 40.3 \n",
- "4 27-298 1995 0 ... 75.0 \n",
+ "0 25-325 1997 0 ... 19.5 \n",
+ "1 28-330 1994 0 ... 34.2 \n",
+ "2 26-126 1996 0 ... 47.2 \n",
+ "3 32-298 1990 0 ... 41.7 \n",
+ "4 27-304 1995 0 ... 76.1 \n",
".. ... ... ... ... ... \n",
- "538 24-202 1998 1 ... 0.0 \n",
- "539 20-020 2003 2 ... 0.0 \n",
- "540 19-323 2003 6 ... 0.0 \n",
- "541 0 0 0 ... 0.0 \n",
+ "538 24-208 1998 1 ... 0.0 \n",
+ "539 20-026 2003 3 ... 0.0 \n",
+ "540 19-329 2003 6 ... 0.0 \n",
+ "541 21-105 2001 1 ... 0.0 \n",
"542 0 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 27.5 213 6 \n",
- "1 34.2 266 7 \n",
- "2 42.5 412 25 \n",
- "3 38.9 159 4 \n",
- "4 51.4 302 13 \n",
+ "0 27.1 221 6 \n",
+ "1 34.5 279 7 \n",
+ "2 42.4 426 25 \n",
+ "3 38.7 178 4 \n",
+ "4 51.7 316 15 \n",
".. ... ... ... \n",
"538 0.0 0 0 \n",
"539 0.0 0 0 \n",
@@ -2959,11 +2942,11 @@
"542 0.0 0 0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 2.8 24 \n",
- "1 2.6 37 \n",
- "2 6.1 10 \n",
- "3 2.5 10 \n",
- "4 4.3 20 \n",
+ "0 2.7 24 \n",
+ "1 2.5 39 \n",
+ "2 5.9 12 \n",
+ "3 2.2 12 \n",
+ "4 4.7 20 \n",
".. ... ... \n",
"538 0.0 0 \n",
"539 0.0 0 \n",
@@ -2972,11 +2955,11 @@
"542 0.0 0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.20 17.2 \n",
- "1 1.86 18.0 \n",
- "2 0.50 10.7 \n",
- "3 0.74 15.1 \n",
- "4 1.00 12.5 \n",
+ "0 1.14 17.2 \n",
+ "1 1.86 18.2 \n",
+ "2 0.57 10.9 \n",
+ "3 0.83 15.8 \n",
+ "4 0.95 12.5 \n",
".. ... ... \n",
"538 0.00 0.0 \n",
"539 0.00 0.0 \n",
@@ -2985,22 +2968,22 @@
"542 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
- "0 6.275000 0.486698 \n",
- "1 6.225000 0.334477 \n",
- "2 6.450000 0.384057 \n",
- "3 6.035714 0.351745 \n",
- "4 6.325000 0.363146 \n",
+ "0 6.261905 0.478566 \n",
+ "1 6.261905 0.365769 \n",
+ "2 6.476190 0.392677 \n",
+ "3 6.033333 0.339935 \n",
+ "4 6.309524 0.361089 \n",
".. ... ... \n",
- "538 5.881660 0.665426 \n",
- "539 6.227492 0.259439 \n",
- "540 5.956291 0.615163 \n",
- "541 5.699562 0.705829 \n",
- "542 5.888111 0.648879 \n",
+ "538 5.947397 0.490100 \n",
+ "539 5.694209 0.383547 \n",
+ "540 5.623932 0.280948 \n",
+ "541 6.124287 0.483769 \n",
+ "542 6.215679 0.378965 \n",
"\n",
- "[543 rows x 169 columns]"
+ "[543 rows x 160 columns]"
]
},
- "execution_count": 118,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -3013,17 +2996,17 @@
},
{
"cell_type": "code",
- "execution_count": 119,
+ "execution_count": 20,
"id": "f7620abe",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "'ball_recoveries'"
+ "'gk_shots_on_target_against'"
]
},
- "execution_count": 119,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -3042,7 +3025,7 @@
},
{
"cell_type": "code",
- "execution_count": 120,
+ "execution_count": 21,
"id": "700b7a7d",
"metadata": {},
"outputs": [
@@ -3051,7 +3034,6 @@
"output_type": "stream",
"text": [
"Zoet, 0.5\n",
- "Ochoa, 0.8333333333333334\n",
"Pegolo, 0.33333333333333337\n",
"Gollini, 0.5\n",
"Mirante, 0.0\n",
@@ -3119,7 +3101,7 @@
},
{
"cell_type": "code",
- "execution_count": 121,
+ "execution_count": 22,
"id": "2d9eee99",
"metadata": {},
"outputs": [
@@ -3176,21 +3158,21 @@
" Napoli \n",
" Meret \n",
" \n",
- " 535 \n",
- " 25-319 \n",
+ " 551 \n",
+ " 25-325 \n",
" 1997 \n",
" 0 \n",
" ... \n",
- " 20.3 \n",
- " 27.5 \n",
- " 213.0 \n",
+ " 19.5 \n",
+ " 27.1 \n",
+ " 221.0 \n",
" 6.0 \n",
- " 2.8 \n",
+ " 2.7 \n",
" 24.0 \n",
- " 1.20 \n",
+ " 1.14 \n",
" 17.2 \n",
- " 6.275000 \n",
- " 0.486698 \n",
+ " 6.261905 \n",
+ " 0.478566 \n",
" \n",
" \n",
" 1 \n",
@@ -3200,21 +3182,21 @@
" Lazio \n",
" Provedel \n",
" \n",
- " 544 \n",
- " 28-324 \n",
+ " 560 \n",
+ " 28-330 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 33.6 \n",
" 34.2 \n",
- " 266.0 \n",
+ " 34.5 \n",
+ " 279.0 \n",
" 7.0 \n",
- " 2.6 \n",
- " 37.0 \n",
+ " 2.5 \n",
+ " 39.0 \n",
" 1.86 \n",
- " 18.0 \n",
- " 6.225000 \n",
- " 0.334477 \n",
+ " 18.2 \n",
+ " 6.261905 \n",
+ " 0.365769 \n",
" \n",
" \n",
" 2 \n",
@@ -3224,21 +3206,21 @@
" Empoli \n",
" Vicario \n",
" \n",
- " 553 \n",
- " 26-120 \n",
+ " 569 \n",
+ " 26-126 \n",
" 1996 \n",
" 0 \n",
" ... \n",
- " 47.7 \n",
- " 42.5 \n",
- " 412.0 \n",
+ " 47.2 \n",
+ " 42.4 \n",
+ " 426.0 \n",
" 25.0 \n",
- " 6.1 \n",
- " 10.0 \n",
- " 0.50 \n",
- " 10.7 \n",
- " 6.450000 \n",
- " 0.384057 \n",
+ " 5.9 \n",
+ " 12.0 \n",
+ " 0.57 \n",
+ " 10.9 \n",
+ " 6.476190 \n",
+ " 0.392677 \n",
" \n",
" \n",
" 3 \n",
@@ -3248,21 +3230,21 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 550 \n",
- " 32-292 \n",
+ " 566 \n",
+ " 32-298 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 40.3 \n",
- " 38.9 \n",
- " 159.0 \n",
+ " 41.7 \n",
+ " 38.7 \n",
+ " 178.0 \n",
" 4.0 \n",
- " 2.5 \n",
- " 10.0 \n",
- " 0.74 \n",
- " 15.1 \n",
- " 6.035714 \n",
- " 0.351745 \n",
+ " 2.2 \n",
+ " 12.0 \n",
+ " 0.83 \n",
+ " 15.8 \n",
+ " 6.033333 \n",
+ " 0.339935 \n",
" \n",
" \n",
" 4 \n",
@@ -3272,21 +3254,21 @@
" Lecce \n",
" Falcone \n",
" \n",
- " 530 \n",
- " 27-298 \n",
+ " 546 \n",
+ " 27-304 \n",
" 1995 \n",
" 0 \n",
" ... \n",
- " 75.0 \n",
- " 51.4 \n",
- " 302.0 \n",
- " 13.0 \n",
- " 4.3 \n",
+ " 76.1 \n",
+ " 51.7 \n",
+ " 316.0 \n",
+ " 15.0 \n",
+ " 4.7 \n",
" 20.0 \n",
- " 1.00 \n",
+ " 0.95 \n",
" 12.5 \n",
- " 6.325000 \n",
- " 0.363146 \n",
+ " 6.309524 \n",
+ " 0.361089 \n",
" \n",
" \n",
" ... \n",
@@ -3320,8 +3302,8 @@
" Sampdoria \n",
" Luca \n",
" \n",
- " 130 \n",
- " 24-202 \n",
+ " 134 \n",
+ " 24-208 \n",
" 1998 \n",
" 1 \n",
" ... \n",
@@ -3333,8 +3315,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.881660 \n",
- " 0.665426 \n",
+ " 5.947397 \n",
+ " 0.490100 \n",
" \n",
" \n",
" 539 \n",
@@ -3344,10 +3326,10 @@
" Lecce \n",
" Persson \n",
" \n",
- " 494 \n",
- " 20-020 \n",
+ " 508 \n",
+ " 20-026 \n",
" 2003 \n",
- " 2 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -3357,8 +3339,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.227492 \n",
- " 0.259439 \n",
+ " 5.694209 \n",
+ " 0.383547 \n",
" \n",
" \n",
" 540 \n",
@@ -3368,8 +3350,8 @@
" Sampdoria \n",
" Montevago \n",
" \n",
- " 322 \n",
- " 19-323 \n",
+ " 331 \n",
+ " 19-329 \n",
" 2003 \n",
" 6 \n",
" ... \n",
@@ -3381,8 +3363,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.956291 \n",
- " 0.615163 \n",
+ " 5.623932 \n",
+ " 0.280948 \n",
" \n",
" \n",
" 541 \n",
@@ -3392,10 +3374,10 @@
" Spezia \n",
" Krollis \n",
" \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " 258 \n",
+ " 21-105 \n",
+ " 2001 \n",
+ " 1 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -3405,8 +3387,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.699562 \n",
- " 0.705829 \n",
+ " 6.124287 \n",
+ " 0.483769 \n",
" \n",
" \n",
" 542 \n",
@@ -3429,47 +3411,47 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.888111 \n",
- " 0.648879 \n",
+ " 6.215679 \n",
+ " 0.378965 \n",
" \n",
" \n",
"\n",
- "543 rows × 169 columns
\n",
+ "543 rows × 160 columns
\n",
""
],
"text/plain": [
" id r name team surname initial fb_ID \\\n",
- "0 572 P Meret Napoli Meret 535 \n",
- "1 2814 P Provedel Lazio Provedel 544 \n",
- "2 4964 P Vicario Empoli Vicario 553 \n",
- "3 453 P Szczesny Juventus Szczesny 550 \n",
- "4 2134 P Falcone Lecce Falcone 530 \n",
+ "0 572 P Meret Napoli Meret 551 \n",
+ "1 2814 P Provedel Lazio Provedel 560 \n",
+ "2 4964 P Vicario Empoli Vicario 569 \n",
+ "3 453 P Szczesny Juventus Szczesny 566 \n",
+ "4 2134 P Falcone Lecce Falcone 546 \n",
".. ... .. ... ... ... ... ... \n",
- "538 5512 A De Luca Sampdoria Luca 130 \n",
- "539 5837 A Voelkerling Persson Lecce Persson 494 \n",
- "540 6113 A Montevago Sampdoria Montevago 322 \n",
- "541 6143 A Krollis Spezia Krollis -1 \n",
+ "538 5512 A De Luca Sampdoria Luca 134 \n",
+ "539 5837 A Voelkerling Persson Lecce Persson 508 \n",
+ "540 6113 A Montevago Sampdoria Montevago 331 \n",
+ "541 6143 A Krollis Spezia Krollis 258 \n",
"542 6160 A Vivaldo Udinese Vivaldo -1 \n",
"\n",
" age birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 25-319 1997 0 ... 20.3 \n",
- "1 28-324 1994 0 ... 33.6 \n",
- "2 26-120 1996 0 ... 47.7 \n",
- "3 32-292 1990 0 ... 40.3 \n",
- "4 27-298 1995 0 ... 75.0 \n",
+ "0 25-325 1997 0 ... 19.5 \n",
+ "1 28-330 1994 0 ... 34.2 \n",
+ "2 26-126 1996 0 ... 47.2 \n",
+ "3 32-298 1990 0 ... 41.7 \n",
+ "4 27-304 1995 0 ... 76.1 \n",
".. ... ... ... ... ... \n",
- "538 24-202 1998 1 ... 0.0 \n",
- "539 20-020 2003 2 ... 0.0 \n",
- "540 19-323 2003 6 ... 0.0 \n",
- "541 0 0 0 ... 0.0 \n",
+ "538 24-208 1998 1 ... 0.0 \n",
+ "539 20-026 2003 3 ... 0.0 \n",
+ "540 19-329 2003 6 ... 0.0 \n",
+ "541 21-105 2001 1 ... 0.0 \n",
"542 0 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 27.5 213.0 6.0 \n",
- "1 34.2 266.0 7.0 \n",
- "2 42.5 412.0 25.0 \n",
- "3 38.9 159.0 4.0 \n",
- "4 51.4 302.0 13.0 \n",
+ "0 27.1 221.0 6.0 \n",
+ "1 34.5 279.0 7.0 \n",
+ "2 42.4 426.0 25.0 \n",
+ "3 38.7 178.0 4.0 \n",
+ "4 51.7 316.0 15.0 \n",
".. ... ... ... \n",
"538 0.0 0.0 0.0 \n",
"539 0.0 0.0 0.0 \n",
@@ -3478,11 +3460,11 @@
"542 0.0 0.0 0.0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 2.8 24.0 \n",
- "1 2.6 37.0 \n",
- "2 6.1 10.0 \n",
- "3 2.5 10.0 \n",
- "4 4.3 20.0 \n",
+ "0 2.7 24.0 \n",
+ "1 2.5 39.0 \n",
+ "2 5.9 12.0 \n",
+ "3 2.2 12.0 \n",
+ "4 4.7 20.0 \n",
".. ... ... \n",
"538 0.0 0.0 \n",
"539 0.0 0.0 \n",
@@ -3491,11 +3473,11 @@
"542 0.0 0.0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.20 17.2 \n",
- "1 1.86 18.0 \n",
- "2 0.50 10.7 \n",
- "3 0.74 15.1 \n",
- "4 1.00 12.5 \n",
+ "0 1.14 17.2 \n",
+ "1 1.86 18.2 \n",
+ "2 0.57 10.9 \n",
+ "3 0.83 15.8 \n",
+ "4 0.95 12.5 \n",
".. ... ... \n",
"538 0.00 0.0 \n",
"539 0.00 0.0 \n",
@@ -3504,22 +3486,22 @@
"542 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
- "0 6.275000 0.486698 \n",
- "1 6.225000 0.334477 \n",
- "2 6.450000 0.384057 \n",
- "3 6.035714 0.351745 \n",
- "4 6.325000 0.363146 \n",
+ "0 6.261905 0.478566 \n",
+ "1 6.261905 0.365769 \n",
+ "2 6.476190 0.392677 \n",
+ "3 6.033333 0.339935 \n",
+ "4 6.309524 0.361089 \n",
".. ... ... \n",
- "538 5.881660 0.665426 \n",
- "539 6.227492 0.259439 \n",
- "540 5.956291 0.615163 \n",
- "541 5.699562 0.705829 \n",
- "542 5.888111 0.648879 \n",
+ "538 5.947397 0.490100 \n",
+ "539 5.694209 0.383547 \n",
+ "540 5.623932 0.280948 \n",
+ "541 6.124287 0.483769 \n",
+ "542 6.215679 0.378965 \n",
"\n",
- "[543 rows x 169 columns]"
+ "[543 rows x 160 columns]"
]
},
- "execution_count": 121,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -3540,7 +3522,7 @@
},
{
"cell_type": "code",
- "execution_count": 122,
+ "execution_count": 23,
"id": "8336c025",
"metadata": {},
"outputs": [],
diff --git a/3b_players_dataset_creation_oldseasons.ipynb b/3b_players_dataset_creation_oldseasons.ipynb
index a433f08..f0f1f75 100644
--- a/3b_players_dataset_creation_oldseasons.ipynb
+++ b/3b_players_dataset_creation_oldseasons.ipynb
@@ -12,17 +12,17 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 37,
"id": "b72a3c5e",
"metadata": {},
"outputs": [],
"source": [
- "season = '2021'"
+ "season = '2122'"
]
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 38,
"id": "7c65df92",
"metadata": {},
"outputs": [],
@@ -32,7 +32,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 39,
"id": "b2d7073e",
"metadata": {},
"outputs": [],
@@ -46,7 +46,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 40,
"id": "667970f6",
"metadata": {},
"outputs": [
@@ -78,8 +78,8 @@
" \n",
" \n",
" 0 \n",
- " Gennaro Acampora \n",
- " Spezia \n",
+ " Tammy Abraham \n",
+ " Roma \n",
" \n",
" \n",
" 1 \n",
@@ -88,13 +88,13 @@
" \n",
" \n",
" 2 \n",
- " Andrea Adorante \n",
- " Parma \n",
+ " Michel Aebischer \n",
+ " Bologna \n",
" \n",
" \n",
" 3 \n",
- " Lucien Agoume \n",
- " Spezia \n",
+ " Felix Afena-Gyan \n",
+ " Roma \n",
" \n",
" \n",
" 4 \n",
@@ -107,53 +107,53 @@
" ... \n",
" \n",
" \n",
- " 665 \n",
+ " 676 \n",
" Ciprian Tătărușanu \n",
" Milan \n",
" \n",
" \n",
- " 666 \n",
+ " 677 \n",
" Pietro Terracciano \n",
" Fiorentina \n",
" \n",
" \n",
- " 667 \n",
- " Samir Ujkani \n",
- " Torino \n",
- " \n",
- " \n",
- " 668 \n",
+ " 678 \n",
" Guglielmo Vicario \n",
- " Cagliari \n",
+ " Empoli \n",
" \n",
" \n",
- " 669 \n",
+ " 679 \n",
" Jeroen Zoet \n",
" Spezia \n",
" \n",
+ " \n",
+ " 680 \n",
+ " Petar Zovko \n",
+ " Spezia \n",
+ " \n",
" \n",
"\n",
- "670 rows × 2 columns
\n",
+ "681 rows × 2 columns
\n",
""
],
"text/plain": [
" player team\n",
- "0 Gennaro Acampora Spezia\n",
+ "0 Tammy Abraham Roma\n",
"1 Francesco Acerbi Lazio\n",
- "2 Andrea Adorante Parma\n",
- "3 Lucien Agoume Spezia\n",
+ "2 Michel Aebischer Bologna\n",
+ "3 Felix Afena-Gyan Roma\n",
"4 Kevin Agudelo Spezia\n",
".. ... ...\n",
- "665 Ciprian Tătărușanu Milan\n",
- "666 Pietro Terracciano Fiorentina\n",
- "667 Samir Ujkani Torino\n",
- "668 Guglielmo Vicario Cagliari\n",
- "669 Jeroen Zoet Spezia\n",
+ "676 Ciprian Tătărușanu Milan\n",
+ "677 Pietro Terracciano Fiorentina\n",
+ "678 Guglielmo Vicario Empoli\n",
+ "679 Jeroen Zoet Spezia\n",
+ "680 Petar Zovko Spezia\n",
"\n",
- "[670 rows x 2 columns]"
+ "[681 rows x 2 columns]"
]
},
- "execution_count": 26,
+ "execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
@@ -166,7 +166,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 41,
"id": "e1e64596",
"metadata": {},
"outputs": [],
@@ -181,7 +181,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 42,
"id": "3078d6f3",
"metadata": {},
"outputs": [],
@@ -199,7 +199,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 43,
"id": "ffd6091c",
"metadata": {},
"outputs": [
@@ -207,677 +207,688 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " player surname\n",
- "0 Gennaro Acampora Acampora\n",
- "1 Francesco Acerbi Acerbi\n",
- "2 Andrea Adorante Adorante\n",
- "3 Lucien Agoume Agoume\n",
- "4 Kevin Agudelo Agudelo\n",
- "5 Jean-Daniel Akpa-Akpro Akpa-Akpro\n",
- "6 Luis Alberto Alberto\n",
- "7 Bruno Alves Alves\n",
- "8 Wisdom Amey Amey\n",
- "9 Sofyan Amrabat Amrabat\n",
- "10 Djavan Anderson Anderson\n",
- "11 Nícolas Andrade Andrade\n",
- "12 Davide Angelo Ghislandi Ghislandi\n",
- "13 Philip Ankhrah Ankhrah\n",
- "14 Cristian Ansaldi Ansaldi\n",
- "15 Valentin Antov Antov\n",
- "16 Nicolò Armini Armini\n",
- "17 Tolgay Arslan Arslan\n",
- "18 Kwadwo Asamoah Asamoah\n",
- "19 Kristoffer Askildsen Askildsen\n",
- "20 Emil Audero Audero\n",
- "21 Tommaso Augello Augello\n",
- "22 Kaan Ayhan Ayhan\n",
- "23 Milan Badelj Badelj\n",
- "24 Tiemoué Bakayoko Bakayoko\n",
- "25 Keita Baldé Balde\n",
- "26 Botond Balogh Balogh\n",
- "27 Mattia Bani Bani\n",
- "28 Mattia Bani Bani\n",
- "29 Antonín Barák Barak\n",
- "30 Federico Barba Barba\n",
- "31 Nicolò Barella Barella\n",
- "32 Antonio Barreca Barreca\n",
- "33 Musa Barrow Barrow\n",
- "34 Paolo Bartolomei Bartolomei\n",
- "35 Daniele Baselli Baselli\n",
- "36 Alessandro Bastoni Bastoni\n",
- "37 Simone Bastoni Bastoni\n",
- "38 Bastos Bastos\n",
- "39 Rodrigo Becão Becao\n",
- "40 Valon Behrami Behrami\n",
- "41 Andrea Belotti Belotti\n",
- "42 Ahmad Benali Benali\n",
- "43 Ismaël Bennacer Bennacer\n",
- "44 Rodrigo Bentancur Bentancur\n",
- "45 Alessandro Berardi Berardi\n",
- "46 Domenico Berardi Berardi\n",
- "47 Álex Berenguer Berenguer\n",
- "48 Bartosz Bereszyński Bereszynski\n",
- "49 Federico Bernardeschi Bernardeschi\n",
- "50 Marco Bertini Bertini\n",
- "51 Daniel Bessa Bessa\n",
- "52 Cristiano Biraghi Biraghi\n",
- "53 Davide Biraschi Biraschi\n",
- "54 Jeremie Boga Boga\n",
- "55 Giacomo Bonaventura Bonaventura\n",
- "56 Federico Bonazzoli Bonazzoli\n",
- "57 Federico Bonazzoli Bonazzoli\n",
- "58 Kevin Bonifazi Bonifazi\n",
- "59 Leonardo Bonucci Bonucci\n",
- "60 Mehdi Bourabia Bourabia\n",
- "61 Edoardo Bove Bove\n",
- "62 Jayden Braaf Braaf\n",
- "63 Gleison Bremer Bremer\n",
- "64 Marcelo Brozović Brozovic\n",
- "65 Gastón Brugman Brugman\n",
- "66 Juan Brunetta Brunetta\n",
- "67 Gianluigi Buffon Buffon\n",
- "68 Alessandro Buongiorno Buongiorno\n",
- "69 Maxime Busi Busi\n",
- "70 Martín Cáceres Caceres\n",
- "71 Felipe Caicedo Caicedo\n",
- "72 Arturo Calabresi Calabresi\n",
- "73 Arturo Calabresi Calabresi\n",
- "74 Davide Calabria Calabria\n",
- "75 Riccardo Calafiori Calafiori\n",
- "76 Mattia Caldara Caldara\n",
- "77 Luca Caldirola Caldirola\n",
- "78 Hakan Çalhanoğlu Calhanoglu\n",
- "79 Fabrizio Caligara Caligara\n",
- "80 José Callejón Callejon\n",
- "81 Drissa Camara Camara\n",
- "82 Antonio Candreva Candreva\n",
- "83 Elio Capradossi Capradossi\n",
- "84 Gianluca Caprari Caprari\n",
- "85 Francesco Caputo Caputo\n",
- "86 Andrea Carboni Carboni\n",
- "87 Giuseppe Caso Caso\n",
- "88 Francesco Cassata Cassata\n",
- "89 Samu Castillejo Castillejo\n",
- "90 Gaetano Castrovilli Castrovilli\n",
- "91 Danilo Cataldi Cataldi\n",
- "92 Federico Ceccherini Ceccherini\n",
- "93 Federico Ceccherini Ceccherini\n",
- "94 Luca Ceppitelli Ceppitelli\n",
- "95 Alberto Cerri Cerri\n",
- "96 Julian Chabot Chabot\n",
- "97 Giorgio Chiellini Chiellini\n",
- "98 Federico Chiesa Chiesa\n",
- "99 Federico Chiesa Chiesa\n",
- "100 Vlad Chiricheș Chiriches\n",
- "101 Luca Cigarini Cigarini\n",
- "102 Antonio Cioffi Cioffi\n",
- "103 Ebrima Colley Colley\n",
- "104 Omar Colley Colley\n",
- "105 Simone Colombi Colombi\n",
- "106 Lorenzo Colombo Colombo\n",
- "107 Andrea Consigli Consigli\n",
- "108 Andrea Conti Conti\n",
- "109 Andrea Conti Conti\n",
- "110 Alex Cordaz Cordaz\n",
- "111 Andreas Cornelius Cornelius\n",
- "112 Joaquín Correa Correa\n",
- "113 Félix Correia Correia\n",
- "114 Douglas Costa Costa\n",
- "115 Angelo da Costa Júnior Junior\n",
- "116 Mamadou Coulibaly Coulibaly\n",
- "117 Alessio Cragno Cragno\n",
- "118 Gian Crespi Crespi\n",
- "119 Domenico Criscito Criscito\n",
- "120 Bryan Cristante Cristante\n",
- "121 Giovanni Crociata Crociata\n",
- "122 Juan Cuadrado Cuadrado\n",
- "123 Giuseppe Cuomo Cuomo\n",
- "124 Patrick Cutrone Cutrone\n",
- "125 Wylan Cyprien Cyprien\n",
- "126 Lennart-Marten Czyborra Czyborra\n",
- "127 Danilo D'Ambrosio DAmbrosio\n",
- "128 Bryan Dabo Dabo\n",
- "129 Diogo Dalot Dalot\n",
- "130 Mikkel Damsgaard Damsgaard\n",
- "131 Danilo Danilo\n",
- "132 Andrea Danzi Danzi\n",
- "133 Ebrima Darboe Darboe\n",
- "134 Matteo Darmian Darmian\n",
- "135 Matteo Darmian Darmian\n",
- "136 Paweł Dawidowicz Dawidowicz\n",
- "137 Sebastien De Maio Maio\n",
- "138 Rodrigo De Paul Paul\n",
- "139 Mattia De Sciglio Sciglio\n",
- "140 Lorenzo De Silvestri Silvestri\n",
- "141 Grégoire Defrel Defrel\n",
- "142 Alessandro Deiola Deiola\n",
- "143 Alessandro Deiola Deiola\n",
- "144 Lorenzo Del Pinto Pinto\n",
- "145 Cristian Dell'Orco DellOrco\n",
- "146 Merih Demiral Demiral\n",
- "147 Diego Demme Demme\n",
- "148 Stefano Denswil Denswil\n",
- "149 Fabio Depaoli Depaoli\n",
- "150 Fabio Depaoli Depaoli\n",
- "151 Fabio Depaoli Depaoli\n",
- "152 Kastriot Dermaku Dermaku\n",
- "153 Kiril Despodov Despodov\n",
- "154 Mattia Destro Destro\n",
- "155 Gerard Deulofeu Deulofeu\n",
- "156 Jacopo Dezi Dezi\n",
- "157 Samuel Di Carmine Carmine\n",
- "158 Samuel Di Carmine Carmine\n",
- "159 Giovanni Di Lorenzo Lorenzo\n",
- "160 Alessandro Di Pardo Pardo\n",
- "161 Giuseppe Di Serio Serio\n",
- "162 Amad Diallo Diallo\n",
- "163 Amadou Diambo Diambo\n",
- "164 Amadou Diawara Diawara\n",
- "165 Brahim Díaz Diaz\n",
- "166 Daan Dierckx Dierckx\n",
- "167 Mitchell Dijks Dijks\n",
- "168 Federico Dimarco Dimarco\n",
- "169 Koffi Djidji Djidji\n",
- "170 Berat Djimsiti Djimsiti\n",
- "171 Nicolás Domínguez Dominguez\n",
- "172 Gianluigi Donnarumma Donnarumma\n",
- "173 Bartłomiej Drągowski Dragowski\n",
- "174 Denis Drăguș Dragus\n",
- "175 Radu Drăgușin Dragusin\n",
- "176 Léo Duarte Duarte\n",
- "177 Alfred Duncan Duncan\n",
- "178 Alfred Duncan Duncan\n",
- "179 Paulo Dybala Dybala\n",
- "180 Edin Džeko Dzeko\n",
- "181 Steeve-Mike Ebongue Ebongue\n",
- "182 Simone Edera Edera\n",
- "183 Albin Ekdal Ekdal\n",
- "184 Elif Elmas Elmas\n",
- "185 Alan Empereur Empereur\n",
- "186 Christian Eriksen Eriksen\n",
- "187 Martin Erlic Erlic\n",
- "188 Gonzalo Escalante Escalante\n",
- "189 Nahuel Estévez Estevez\n",
- "190 Valentin Eysseric Eysseric\n",
- "191 Nicolò Fagioli Fagioli\n",
- "192 Iago Falque Falque\n",
- "193 Andri Fannar Baldursson Baldursson\n",
- "194 Paolo Faragò Farago\n",
- "195 Paolo Faragò Farago\n",
- "196 Davide Faraoni Faraoni\n",
- "197 Mohamed Fares Fares\n",
- "198 Diego Farias Farias\n",
- "199 Andrea Favilli Favilli\n",
- "200 Federico Fazio Fazio\n",
- "201 Luiz Felipe Felipe\n",
- "202 Alex Ferrari Ferrari\n",
- "203 Salvador Ferrer Ferrer\n",
- "204 Marco Festa Festa\n",
- "205 Fernando Forestieri Forestieri\n",
- "206 Daam Foulon Foulon\n",
- "207 Gianluca Frabotta Frabotta\n",
- "208 Remo Freuler Freuler\n",
- "209 Daniel Fuzato Fuzato\n",
- "210 Matteo Gabbia Gabbia\n",
- "211 Manolo Gabbiadini Gabbiadini\n",
- "212 Roberto Gagliardini Gagliardini\n",
- "213 Riccardo Gagliolo Gagliolo\n",
- "214 Adolfo Gaich Gaich\n",
- "215 Andrey Galabinov Galabinov\n",
- "216 Manuel Gasparini Gasparini\n",
- "217 Gervinho Gervinho\n",
- "218 Paolo Ghiglione Ghiglione\n",
- "219 Faouzi Ghoulam Ghoulam\n",
- "220 Kamil Glik Glik\n",
- "221 Diego Godín Godin\n",
- "222 Amer Gojak Gojak\n",
- "223 Edoardo Goldaniga Goldaniga\n",
- "224 Vladimir Golemić Golemic\n",
- "225 Pierluigi Gollini Gollini\n",
- "226 Tomislav Gomelt Gomelt\n",
- "227 Papu Gómez Gomez\n",
- "228 Robin Gosens Gosens\n",
- "229 Alberto Grassi Grassi\n",
- "230 Koray Günter Gunter\n",
- "231 Manu Gyabuaa Gyabuaa\n",
- "232 Emmanuel Gyasi Gyasi\n",
- "233 Achraf Hakimi Hakimi\n",
- "234 Samir Handanović Handanovic\n",
- "235 Lukáš Haraslín Haraslin\n",
- "236 Hans Hateboer Hateboer\n",
- "237 Eduardo Henrique Henrique\n",
- "238 Theo Hernández Hernandez\n",
- "239 Hernani Hernani\n",
- "240 Përparim Hetemaj Hetemaj\n",
- "241 Aaron Hickey Hickey\n",
- "242 Wesley Hoedt Hoedt\n",
- "243 Elseid Hysaj Hysaj\n",
- "244 Simone Iacoponi Iacoponi\n",
- "245 Roger Ibanez Ibanez\n",
- "246 Zlatan Ibrahimović Ibrahimovic\n",
- "247 Igor Igor\n",
- "248 Ivan Ilić Ilic\n",
- "249 Josip Iličić Ilicic\n",
- "250 Ciro Immobile Immobile\n",
- "251 Riccardo Improta Improta\n",
- "252 Roberto Inglese Inglese\n",
- "253 Lorenzo Insigne Insigne\n",
- "254 Roberto Insigne Insigne\n",
- "255 Artur Ioniță Ionita\n",
- "256 Ardian Ismajli Ismajli\n",
- "257 Armando Izzo Izzo\n",
- "258 Mato Jajalo Jajalo\n",
- "259 Jakub Jankto Jankto\n",
- "260 Juan Jesus Jesus\n",
- "261 Hamed Junior Traorè Traore\n",
- "262 Musa Juwara Juwara\n",
- "263 Nikola Kalinić Kalinic\n",
- "264 Yayah Kallon Kallon\n",
- "265 Pierre Kalulu Kalulu\n",
- "266 Yann Karamoh Karamoh\n",
- "267 Isaac Karamoko Karamoko\n",
- "268 Augustus Kargbo Kargbo\n",
- "269 Rick Karsdorp Karsdorp\n",
- "270 Franck Kessié Kessie\n",
- "271 Omar Khailoti Khailoti\n",
- "272 Simon Kjær Kjr\n",
- "273 Ragnar Klavan Klavan\n",
- "274 Justin Kluivert Kluivert\n",
- "275 Aleksandr Kokorin Kokorin\n",
- "276 Aleksandar Kolarov Kolarov\n",
- "277 Márk Kosznovszky Kosznovszky\n",
- "278 Christian Kouamé Kouame\n",
- "279 Kalidou Koulibaly Koulibaly\n",
- "280 Viktor Kovalenko Kovalenko\n",
- "281 Rade Krunić Krunic\n",
- "282 Juraj Kucka Kucka\n",
- "283 Dejan Kulusevski Kulusevski\n",
- "284 Marash Kumbulla Kumbulla\n",
- "285 Jasmin Kurtić Kurtic\n",
- "286 Giorgos Kyriakopoulos Kyriakopoulos\n",
- "287 Antonino La Gumina Gumina\n",
- "288 Sam Lammers Lammers\n",
- "289 Gianluca Lapadula Lapadula\n",
- "290 Danilo Larangeira Larangeira\n",
- "291 Kevin Lasagna Lasagna\n",
- "292 Kevin Lasagna Lasagna\n",
- "293 Vincent Laurini Laurini\n",
- "294 Darko Lazović Lazovic\n",
- "295 Manuel Lazzari Lazzari\n",
- "296 Rafael Leão Leao\n",
- "297 Lucas Leiva Leiva\n",
- "298 Lukas Lerager Lerager\n",
- "299 Mehdi Léris Leris\n",
- "300 Karlo Letica Letica\n",
- "301 Gaetano Letizia Letizia\n",
- "302 Matthijs de Ligt Ligt\n",
- "303 Karol Linetty Linetty\n",
- "304 Pol Lirola Lirola\n",
- "305 Fernando Llorente Llorente\n",
- "306 Fernando Llorente Llorente\n",
- "307 Stanislav Lobotka Lobotka\n",
- "308 Manuel Locatelli Locatelli\n",
- "309 Maxime Lopez Lopez\n",
- "310 Pau López Lopez\n",
- "311 Matteo Lovato Lovato\n",
- "312 Hirving Lozano Lozano\n",
- "313 José Luis Palomino Palomino\n",
- "314 Romelu Lukaku Lukaku\n",
- "315 Saša Lukić Lukic\n",
- "316 Senad Lulić Lulic\n",
- "317 Sebastiano Luperto Luperto\n",
- "318 Lyanco Lyanco\n",
- "319 Charalambos Lykogiannis Lykogiannis\n",
- "320 Lisandro Magallán Magallan\n",
- "321 Christian Maggio Maggio\n",
- "322 Giulio Maggiore Maggiore\n",
- "323 Francesco Magnanelli Magnanelli\n",
- "324 Giangiacomo Magnani Magnani\n",
- "325 Jean-Victor Makengo Makengo\n",
- "326 Nikola Maksimović Maksimovic\n",
- "327 Kévin Malcuit Malcuit\n",
- "328 Kévin Malcuit Malcuit\n",
- "329 Daniel Maldini Maldini\n",
- "330 Ruslan Malinovskyi Malinovskyi\n",
- "331 Dennis Man Man\n",
- "332 Gianluca Mancini Mancini\n",
- "333 Rolando Mandragora Mandragora\n",
- "334 Rolando Mandragora Mandragora\n",
- "335 Mario Mandžukić Mandzukic\n",
- "336 Niccolò Manfredini Manfredini\n",
- "337 Kostas Manolas Manolas\n",
- "338 Juan Manuel Ramos Ramos\n",
- "339 Federico Marchetti Marchetti\n",
- "340 Riccardo Marchizza Marchizza\n",
- "341 Gian Marco Ferrari Ferrari\n",
- "342 Răzvan Marin Marin\n",
- "343 Marlon Marlon\n",
- "344 Luca Marrone Marrone\n",
- "345 Lautaro Martínez Martinez\n",
- "346 Lucas Martínez Quarta Quarta\n",
- "347 Adam Marušić Marusic\n",
- "348 Andrea Masiello Masiello\n",
- "349 Giuseppe Mastinu Mastinu\n",
- "350 Ryder Matos Matos\n",
- "351 Federico Mattiello Mattiello\n",
- "352 Borja Mayoral Mayoral\n",
- "353 Antonio Mazzotta Mazzotta\n",
- "354 Ibrahima Mbaye Mbaye\n",
- "355 Weston McKennie McKennie\n",
- "356 Gary Medel Medel\n",
- "357 Soualiho Meïté Meite\n",
- "358 Soualiho Meïté Meite\n",
- "359 Filippo Melegoni Melegoni\n",
- "360 Arthur Melo Melo\n",
- "361 Alex Meret Meret\n",
- "362 Yıldırım Mert Çetin Cetin\n",
- "363 Dries Mertens Mertens\n",
- "364 Junior Messias Messias\n",
- "365 Petar Mićin Micin\n",
- "366 Valentin Mihaila Mihaila\n",
- "367 Nikola Milenković Milenkovic\n",
- "368 Sergej Milinković-Savić Milinkovic-Savic\n",
- "369 Vanja Milinković-Savić Milinkovic-Savic\n",
- "370 Vincenzo Millico Millico\n",
- "371 Aleksei Miranchuk Miranchuk\n",
- "372 Antonio Mirante Mirante\n",
- "373 Henrikh Mkhitaryan Mkhitaryan\n",
- "374 Johan Mojica Mojica\n",
- "375 Nahuel Molina Molina\n",
- "376 Salvatore Molina Molina\n",
- "377 Gabriele Moncini Moncini\n",
- "378 Cristóbal Montiel Montiel\n",
- "379 Lorenzo Montipò Montipo\n",
- "380 Luca Mora Mora\n",
- "381 Álvaro Morata Morata\n",
- "382 Raúl Moro Moro\n",
- "383 Mert Müldür Muldur\n",
- "384 Luis Muriel Muriel\n",
- "385 Vedat Muriqi Muriqi\n",
- "386 Nicola Murru Murru\n",
- "387 Mateo Musacchio Musacchio\n",
- "388 Mateo Musacchio Musacchio\n",
- "389 Juan Musso Musso\n",
- "390 Joakim Mæhle Mhle\n",
- "391 Radja Nainggolan Nainggolan\n",
- "392 Radja Nainggolan Nainggolan\n",
- "393 Nahitan Nández Nandez\n",
- "394 Ilija Nestorovski Nestorovski\n",
- "395 Nicolas Nkoulou Nkoulou\n",
- "396 Bram Nuytinck Nuytinck\n",
- "397 Simeon Nwankwo Nwankwo\n",
- "398 M'Bala Nzola Nzola\n",
- "399 Pedro Obiang Obiang\n",
- "400 Brian Oddei Oddei\n",
- "401 Stefano Okaka Okaka\n",
- "402 Christian Oliva Oliva\n",
- "403 Maximiliano Olivera Olivera\n",
- "404 Jérôme Onguéné Onguene\n",
- "405 Riccardo Orsolini Orsolini\n",
- "406 Victor Osimhen Osimhen\n",
- "407 Yordan Osorio Osorio\n",
- "408 David Ospina Ospina\n",
- "409 Adam Ounas Ounas\n",
- "410 Adam Ounas Ounas\n",
- "411 Thomas Ouwejan Ouwejan\n",
- "412 Daniele Padelli Padelli\n",
- "413 Mattia Pagliuca Pagliuca\n",
- "414 Rodrigo Palacio Palacio\n",
- "415 Alberto Paleari Paleari\n",
- "416 Antonio Palumbo Palumbo\n",
- "417 Martin Palumbo Palumbo\n",
- "418 Goran Pandev Pandev\n",
- "419 Ivor Pandur Pandur\n",
- "420 Vittorio Parigini Parigini\n",
- "421 Marco Parolo Parolo\n",
- "422 Mario Pašalić Pasalic\n",
- "423 Christian Pastina Pastina\n",
- "424 Javier Pastore Pastore\n",
- "425 Patric Patric\n",
- "426 Leonardo Pavoletti Pavoletti\n",
- "427 Nehuén Paz Paz\n",
- "428 Pedro Pedro\n",
- "429 João Pedro Pedro\n",
- "430 Gianluca Pegolo Pegolo\n",
- "431 Graziano Pellè Pelle\n",
- "432 Lorenzo Pellegrini Pellegrini\n",
- "433 Luca Pellegrini Pellegrini\n",
- "434 Federico Peluso Peluso\n",
- "435 Andreas Pereira Pereira\n",
- "436 Pedro Pereira Pereira\n",
- "437 Gastón Pereiro Pereiro\n",
- "438 Bruno Peres Peres\n",
- "439 Roberto Pereyra Pereyra\n",
- "440 Carles Pérez Perez\n",
- "441 Mattia Perin Perin\n",
- "442 Ivan Perišić Perisic\n",
- "443 Matteo Pessina Pessina\n",
- "444 Andrea Petagna Petagna\n",
- "445 Jacopo Petriccione Petriccione\n",
- "446 Jens Petter Hauge Hauge\n",
- "447 Germán Pezzella Pezzella\n",
- "448 Giuseppe Pezzella Pezzella\n",
- "449 Cristiano Piccini Piccini\n",
- "450 Roberto Piccoli Piccoli\n",
- "451 Andrea Pinamonti Pinamonti\n",
- "452 Carlo Pinsoglio Pinsoglio\n",
- "453 Fabio Pisacane Pisacane\n",
- "454 Marko Pjaca Pjaca\n",
- "455 Tommaso Pobega Pobega\n",
- "456 Andrea Poli Poli\n",
- "457 Matteo Politano Politano\n",
- "458 Manolo Portanova Portanova\n",
- "459 Manolo Portanova Portanova\n",
- "460 Ivan Provedel Provedel\n",
- "461 Erick Pulgar Pulgar\n",
- "462 Ignacio Pussetto Pussetto\n",
- "463 Fabio Quagliarella Quagliarella\n",
- "464 Simone Rabbi Rabbi\n",
- "465 Adrien Rabiot Rabiot\n",
- "466 Ivan Radovanović Radovanovic\n",
- "467 Ionuț Radu Radu\n",
- "468 Ștefan Radu Radu\n",
- "469 Rafael Rafael\n",
- "470 Antonio Raimondo Raimondo\n",
- "471 Gastón Ramírez Ramirez\n",
- "472 Aaron Ramsey Ramsey\n",
- "473 Andrea Ranocchia Ranocchia\n",
- "474 Giacomo Raspadori Raspadori\n",
- "475 Federico Ravaglia Ravaglia\n",
- "476 Ante Rebić Rebic\n",
- "477 Arkadiusz Reca Reca\n",
- "478 Vasco Regini Regini\n",
- "479 Pepe Reina Reina\n",
- "480 Bryan Reynolds Reynolds\n",
- "481 Franck Ribéry Ribery\n",
- "482 Federico Ricci Ricci\n",
- "483 Giacomo Ricci Ricci\n",
- "484 Matteo Ricci Ricci\n",
- "485 Tomás Rincón Rincon\n",
- "486 Andrea Rispoli Rispoli\n",
- "487 Emmanuel Rivière Riviere\n",
- "488 Ricardo Rodríguez Rodriguez\n",
- "489 Marko Rog Rog\n",
- "490 Rogério Rogerio\n",
- "491 Luis Rojas Rojas\n",
- "492 Alessio Romagnoli Romagnoli\n",
- "493 Cristian Romero Romero\n",
- "494 Cristiano Ronaldo Ronaldo\n",
- "495 Marten de Roon Roon\n",
- "496 Nicolò Rovella Rovella\n",
- "497 Amir Rrahmani Rrahmani\n",
- "498 Kevin Rüegg Ruegg\n",
- "499 Daniele Rugani Rugani\n",
- "500 Matteo Ruggeri Ruggeri\n",
- "501 Mário Rui Rui\n",
- "502 Fabián Ruiz Peña Pena\n",
- "503 Alexis Saelemaekers Saelemaekers\n",
- "504 Jacopo Sala Sala\n",
- "505 Eddie Salcedo Salcedo\n",
- "506 Antonio Sanabria Sanabria\n",
- "507 Alexis Sánchez Sanchez\n",
- "508 Alex Sandro Sandro\n",
- "509 Siriki Sanogo Sanogo\n",
- "510 Nicola Sansone Sansone\n",
- "511 Federico Santander Santander\n",
- "512 Davide Santon Santon\n",
- "513 Samir Santos Santos\n",
- "514 Riccardo Saponara Saponara\n",
- "515 Riccardo Saponara Saponara\n",
- "516 Marco Sau Sau\n",
- "517 Gianluca Scamacca Scamacca\n",
- "518 Nicolás Schiappacasse Schiappacasse\n",
- "519 Pasquale Schiattarella Schiattarella\n",
- "520 Jerdy Schouten Schouten\n",
- "521 Matteo Scozzarella Scozzarella\n",
- "522 Simone Scuffet Scuffet\n",
- "523 Jacopo Segre Segre\n",
- "524 Léo Sena Sena\n",
- "525 Stefano Sensi Sensi\n",
- "526 Luigi Sepe Sepe\n",
- "527 Stephan El Shaarawy Shaarawy\n",
- "528 Eldor Shomurodov Shomurodov\n",
- "529 Luca Siligardi Siligardi\n",
- "530 Luca Siligardi Siligardi\n",
- "531 Adrien Silva Silva\n",
- "532 Marco Silvestri Silvestri\n",
- "533 Giovanni Simeone Simeone\n",
- "534 Wilfried Singo Singo\n",
- "535 Salvatore Sirigu Sirigu\n",
- "536 Łukasz Skorupski Skorupski\n",
- "537 Andreas Skov Olsen Olsen\n",
- "538 Milan Škriniar Skriniar\n",
- "539 Chris Smalling Smalling\n",
- "540 Simon Sohm Sohm\n",
- "541 Roberto Soriano Soriano\n",
- "542 Riccardo Sottil Sottil\n",
- "543 Adama Soumaoro Soumaoro\n",
- "544 Leonardo Spinazzola Spinazzola\n",
- "545 Marco Sportiello Sportiello\n",
- "546 Mattia Sprocati Sprocati\n",
- "547 Thomas Strakosha Strakosha\n",
- "548 Kevin Strootman Strootman\n",
- "549 Jens Stryger Larsen Larsen\n",
- "550 Stefano Sturaro Sturaro\n",
- "551 Stefano Sturaro Sturaro\n",
- "552 Bosko Sutalo Sutalo\n",
- "553 Mattias Svanberg Svanberg\n",
- "554 Wojciech Szczęsny Szczesny\n",
- "555 Adrien Tameze Tameze\n",
- "556 Ciprian Tătărușanu Tatarusanu\n",
- "557 Andrés Tello Tello\n",
- "558 Hidde ter Avest Avest\n",
- "559 Pietro Terracciano Terracciano\n",
- "560 Claudio Terzi Terzi\n",
- "561 Morten Thorsby Thorsby\n",
- "562 Jeremy Toljan Toljan\n",
- "563 Rafael Tolói Toloi\n",
- "564 Takehiro Tomiyasu Tomiyasu\n",
- "565 Fikayo Tomori Tomori\n",
- "566 Sandro Tonali Tonali\n",
- "567 Lorenzo Tonelli Tonelli\n",
- "568 Ernesto Torregrossa Torregrossa\n",
- "569 Mattéo Tramoni Tramoni\n",
- "570 Chaka Traorè Traore\n",
- "571 Alessandro Tripaldelli Tripaldelli\n",
- "572 Alessandro Tuia Tuia\n",
- "573 Ľubomír Tupta Tupta\n",
- "574 Iyenoma Udogie Udogie\n",
- "575 Samir Ujkani Ujkani\n",
- "576 Kacper Urbanski Urbanski\n",
- "577 Lautaro Valenti Valenti\n",
- "578 Borja Valero Valero\n",
- "579 Denis Vavro Vavro\n",
- "580 Matías Vecino Vecino\n",
- "581 Miguel Veloso Veloso\n",
- "582 Lorenzo Venuti Venuti\n",
- "583 Daniele Verde Verde\n",
- "584 Simone Verdi Verdi\n",
- "585 Jordan Veretout Veretout\n",
- "586 Edoardo Vergani Vergani\n",
- "587 Valerio Verre Verre\n",
- "588 Guglielmo Vicario Vicario\n",
- "589 Arturo Vidal Vidal\n",
- "590 Ronaldo Vieira Vieira\n",
- "591 Luca Vignali Vignali\n",
- "592 Emanuel Vignato Vignato\n",
- "593 Gonzalo Villar Villar\n",
- "594 Nicolas Viola Viola\n",
- "595 Dušan Vlahović Vlahovic\n",
- "596 Mërgim Vojvoda Vojvoda\n",
- "597 Stefan de Vrij Vrij\n",
- "598 Giacomo Vrioni Vrioni\n",
- "599 Miloš Vulić Vulic\n",
- "600 Walace Walace\n",
- "601 Sebastian Walukiewicz Walukiewicz\n",
- "602 Maya Yoshida Yoshida\n",
- "603 Ashley Young Young\n",
- "604 Mattia Zaccagni Zaccagni\n",
- "605 Vasilios Zagaritis Zagaritis\n",
- "606 Miha Zajc Zajc\n",
- "607 Nicola Zalewski Zalewski\n",
- "608 Niccolò Zanellato Zanellato\n",
- "609 Cristián Zapata Zapata\n",
- "610 Duván Zapata Zapata\n",
- "611 Gabriele Zappa Zappa\n",
- "612 Davide Zappacosta Zappacosta\n",
- "613 Simone Zaza Zaza\n",
- "614 Marvin Zeegelaar Zeegelaar\n",
- "615 Piotr Zieliński Zielinski\n",
- "616 Joshua Zirkzee Zirkzee\n",
- "617 Jeroen Zoet Zoet\n",
- "618 Filip Đuričić uricic\n",
- "619 Nícolas Andrade Andrade\n",
- "620 Emil Audero Audero\n",
- "621 Alessandro Berardi Berardi\n",
- "622 Gianluigi Buffon Buffon\n",
- "623 Simone Colombi Colombi\n",
- "624 Andrea Consigli Consigli\n",
- "625 Alex Cordaz Cordaz\n",
- "626 Angelo da Costa Júnior Junior\n",
- "627 Alessio Cragno Cragno\n",
- "628 Gian Crespi Crespi\n",
- "629 Gianluigi Donnarumma Donnarumma\n",
- "630 Bartłomiej Drągowski Dragowski\n",
- "631 Marco Festa Festa\n",
- "632 Daniel Fuzato Fuzato\n",
- "633 Manuel Gasparini Gasparini\n",
- "634 Pierluigi Gollini Gollini\n",
- "635 Samir Handanović Handanovic\n",
- "636 Karlo Letica Letica\n",
- "637 Pau López Lopez\n",
- "638 Niccolò Manfredini Manfredini\n",
- "639 Federico Marchetti Marchetti\n",
- "640 Alex Meret Meret\n",
- "641 Vanja Milinković-Savić Milinkovic-Savic\n",
- "642 Antonio Mirante Mirante\n",
- "643 Lorenzo Montipò Montipo\n",
- "644 Juan Musso Musso\n",
- "645 David Ospina Ospina\n",
- "646 Daniele Padelli Padelli\n",
- "647 Alberto Paleari Paleari\n",
- "648 Ivor Pandur Pandur\n",
- "649 Gianluca Pegolo Pegolo\n",
- "650 Mattia Perin Perin\n",
- "651 Carlo Pinsoglio Pinsoglio\n",
- "652 Ivan Provedel Provedel\n",
- "653 Ionuț Radu Radu\n",
- "654 Rafael Rafael\n",
- "655 Federico Ravaglia Ravaglia\n",
- "656 Pepe Reina Reina\n",
- "657 Simone Scuffet Scuffet\n",
- "658 Luigi Sepe Sepe\n",
- "659 Marco Silvestri Silvestri\n",
- "660 Salvatore Sirigu Sirigu\n",
- "661 Łukasz Skorupski Skorupski\n",
- "662 Marco Sportiello Sportiello\n",
- "663 Thomas Strakosha Strakosha\n",
- "664 Wojciech Szczęsny Szczesny\n",
- "665 Ciprian Tătărușanu Tatarusanu\n",
- "666 Pietro Terracciano Terracciano\n",
- "667 Samir Ujkani Ujkani\n",
- "668 Guglielmo Vicario Vicario\n",
- "669 Jeroen Zoet Zoet\n"
+ " player surname\n",
+ "0 Tammy Abraham Abraham\n",
+ "1 Francesco Acerbi Acerbi\n",
+ "2 Michel Aebischer Aebischer\n",
+ "3 Felix Afena-Gyan Afena-Gyan\n",
+ "4 Kevin Agudelo Agudelo\n",
+ "5 Ola Aina Aina\n",
+ "6 Marley Aké Ake\n",
+ "7 Jean-Daniel Akpa-Akpro Akpa-Akpro\n",
+ "8 Luis Alberto Alberto\n",
+ "9 Giorgio Altare Altare\n",
+ "10 Wisdom Amey Amey\n",
+ "11 Kelvin Amian Amian\n",
+ "12 Nadiem Amiri Amiri\n",
+ "13 Ethan Ampadu Ampadu\n",
+ "14 Sofyan Amrabat Amrabat\n",
+ "15 Felipe Anderson Anderson\n",
+ "16 Ebenezer Annan Annan\n",
+ "17 Cristian Ansaldi Ansaldi\n",
+ "18 Janis Antiste Antiste\n",
+ "19 Mattia Aramu Aramu\n",
+ "20 Marko Arnautović Arnautovic\n",
+ "21 Tolgay Arslan Arslan\n",
+ "22 Arthur Arthur\n",
+ "23 Kristoffer Askildsen Askildsen\n",
+ "24 Kristjan Asllani Asllani\n",
+ "25 Emil Audero Audero\n",
+ "26 Tommaso Augello Augello\n",
+ "27 Ramzi Aya Aya\n",
+ "28 Kaan Ayhan Ayhan\n",
+ "29 Milan Badelj Badelj\n",
+ "30 Nicola Bagnolini Bagnolini\n",
+ "31 Issa Bah Bah\n",
+ "32 Nedim Bajrami Bajrami\n",
+ "33 Tiemoué Bakayoko Bakayoko\n",
+ "34 Tommaso Baldanzi Baldanzi\n",
+ "35 Keita Baldé Balde\n",
+ "36 Fodé Ballo-Touré Ballo-Toure\n",
+ "37 Filippo Bandinelli Bandinelli\n",
+ "38 Mattia Bani Bani\n",
+ "39 Antonín Barák Barak\n",
+ "40 Francesco Bardi Bardi\n",
+ "41 Nicolò Barella Barella\n",
+ "42 Musa Barrow Barrow\n",
+ "43 Daniele Baselli Baselli\n",
+ "44 Daniele Baselli Baselli\n",
+ "45 Toma Bašić Basic\n",
+ "46 Alessandro Bastoni Bastoni\n",
+ "47 Simone Bastoni Bastoni\n",
+ "48 Rodrigo Becão Becao\n",
+ "49 Valon Behrami Behrami\n",
+ "50 Vid Belec Belec\n",
+ "51 Raoul Bellanova Bellanova\n",
+ "52 Andrea Belotti Belotti\n",
+ "53 Marco Benassi Benassi\n",
+ "54 Marco Benassi Benassi\n",
+ "55 Filip Benković Benkovic\n",
+ "56 Ismaël Bennacer Bennacer\n",
+ "57 Rodrigo Bentancur Bentancur\n",
+ "58 Alessandro Berardi Berardi\n",
+ "59 Domenico Berardi Berardi\n",
+ "60 Bartosz Bereszyński Bereszynski\n",
+ "61 Etrit Berisha Berisha\n",
+ "62 Federico Bernardeschi Bernardeschi\n",
+ "63 Nicolò Bertola Bertola\n",
+ "64 Daniel Bessa Bessa\n",
+ "65 Beto Beto\n",
+ "66 Luis Binks Binks\n",
+ "67 Cristiano Biraghi Biraghi\n",
+ "68 Davide Biraschi Biraschi\n",
+ "69 Bjarki Bjarkason Bjarkason\n",
+ "70 Jeremie Boga Boga\n",
+ "71 Jeremie Boga Boga\n",
+ "72 Luka Bogdan Bogdan\n",
+ "73 Emil Bohinen Bohinen\n",
+ "74 Giacomo Bonaventura Bonaventura\n",
+ "75 Federico Bonazzoli Bonazzoli\n",
+ "76 Kevin Bonifazi Bonifazi\n",
+ "77 Leonardo Bonucci Bonucci\n",
+ "78 Mehdi Bourabia Bourabia\n",
+ "79 Edoardo Bove Bove\n",
+ "80 Josip Brekalo Brekalo\n",
+ "81 Gleison Bremer Bremer\n",
+ "82 Marcelo Brozović Brozovic\n",
+ "83 Aleksander Buksa Buksa\n",
+ "84 Alessandro Buongiorno Buongiorno\n",
+ "85 Gianluca Busio Busio\n",
+ "86 Jovane Cabral Cabral\n",
+ "87 Liberato Cacace Cacace\n",
+ "88 Martín Cáceres Caceres\n",
+ "89 Felipe Caicedo Caicedo\n",
+ "90 Felipe Caicedo Caicedo\n",
+ "91 Davide Calabria Calabria\n",
+ "92 Riccardo Calafiori Calafiori\n",
+ "93 Riccardo Calafiori Calafiori\n",
+ "94 Mattia Caldara Caldara\n",
+ "95 Hakan Çalhanoğlu Calhanoglu\n",
+ "96 José Callejón Callejon\n",
+ "97 Andrea Cambiaso Cambiaso\n",
+ "98 Matteo Cancellieri Cancellieri\n",
+ "99 Antonio Candreva Candreva\n",
+ "100 Leonardo Capezzi Capezzi\n",
+ "101 Gianluca Caprari Caprari\n",
+ "102 Francesco Caputo Caputo\n",
+ "103 Francesco Caputo Caputo\n",
+ "104 Andrea Carboni Carboni\n",
+ "105 Nicolò Casale Casale\n",
+ "106 Francesco Cassata Cassata\n",
+ "107 Samu Castillejo Castillejo\n",
+ "108 Gaetano Castrovilli Castrovilli\n",
+ "109 Danilo Cataldi Cataldi\n",
+ "110 Pietro Ceccaroni Ceccaroni\n",
+ "111 Federico Ceccherini Ceccherini\n",
+ "112 Emil Ceide Ceide\n",
+ "113 Luca Ceppitelli Ceppitelli\n",
+ "114 Damir Ceter Ceter\n",
+ "115 Julian Chabot Chabot\n",
+ "116 Giorgio Chiellini Chiellini\n",
+ "117 Federico Chiesa Chiesa\n",
+ "118 Vlad Chiricheș Chiriches\n",
+ "119 Riccardo Ciervo Ciervo\n",
+ "120 Moustapha Cissé Cisse\n",
+ "121 Giorgio Cittadini Cittadini\n",
+ "122 Ebrima Colley Colley\n",
+ "123 Omar Colley Colley\n",
+ "124 Andrea Consigli Consigli\n",
+ "125 Andrea Conti Conti\n",
+ "126 Andrea Conti Conti\n",
+ "127 Diego Coppola Coppola\n",
+ "128 Joaquín Correa Correa\n",
+ "129 Lassana Coulibaly Coulibaly\n",
+ "130 Mamadou Coulibaly Coulibaly\n",
+ "131 Alessio Cragno Cragno\n",
+ "132 Domenico Criscito Criscito\n",
+ "133 Bryan Cristante Cristante\n",
+ "134 Domen Črnigoj Crnigoj\n",
+ "135 Giovanni Crociata Crociata\n",
+ "136 Juan Cuadrado Cuadrado\n",
+ "137 Mickaël Cuisance Cuisance\n",
+ "138 Patrick Cutrone Cutrone\n",
+ "139 Danilo D'Ambrosio DAmbrosio\n",
+ "140 Mikkel Damsgaard Damsgaard\n",
+ "141 Danilo Danilo\n",
+ "142 Ebrima Darboe Darboe\n",
+ "143 Matteo Darmian Darmian\n",
+ "144 Paweł Dawidowicz Dawidowicz\n",
+ "145 Sebastien De Maio Maio\n",
+ "146 Tommaso De Nipoti Nipoti\n",
+ "147 Mattia De Sciglio Sciglio\n",
+ "148 Lorenzo De Silvestri Silvestri\n",
+ "149 Grégoire Defrel Defrel\n",
+ "150 Alessandro Deiola Deiola\n",
+ "151 Filippo Delli Carri Carri\n",
+ "152 Merih Demiral Demiral\n",
+ "153 Diego Demme Demme\n",
+ "154 Fabio Depaoli Depaoli\n",
+ "155 Fabio Depaoli Depaoli\n",
+ "156 Mattia Destro Destro\n",
+ "157 Gerard Deulofeu Deulofeu\n",
+ "158 Jacopo Dezi Dezi\n",
+ "159 Samuel Di Carmine Carmine\n",
+ "160 Federico Di Francesco Francesco\n",
+ "161 Giovanni Di Lorenzo Lorenzo\n",
+ "162 Francesco Di Mariano Mariano\n",
+ "163 Francesco Di Tacchio Tacchio\n",
+ "164 Amadou Diawara Diawara\n",
+ "165 Brahim Díaz Diaz\n",
+ "166 Mitchell Dijks Dijks\n",
+ "167 Federico Dimarco Dimarco\n",
+ "168 Filippo Distefano Distefano\n",
+ "169 Koffi Djidji Djidji\n",
+ "170 Berat Djimsiti Djimsiti\n",
+ "171 Nicolás Domínguez Dominguez\n",
+ "172 Bartłomiej Drągowski Dragowski\n",
+ "173 Radu Drăgușin Dragusin\n",
+ "174 Radu Drăgușin Dragusin\n",
+ "175 Denzel Dumfries Dumfries\n",
+ "176 Alfred Duncan Duncan\n",
+ "177 Paulo Dybala Dybala\n",
+ "178 Edin Džeko Dzeko\n",
+ "179 Tyronne Ebuehi Ebuehi\n",
+ "180 Éderson Ederson\n",
+ "181 Albin Ekdal Ekdal\n",
+ "182 Caleb Ekuban Ekuban\n",
+ "183 Elif Elmas Elmas\n",
+ "184 Martin Erlic Erlic\n",
+ "185 Gonzalo Escalante Escalante\n",
+ "186 Diego Falcinelli Falcinelli\n",
+ "187 Wladimiro Falcone Falcone\n",
+ "188 Paolo Faragò Farago\n",
+ "189 Davide Faraoni Faraoni\n",
+ "190 Mohamed Fares Fares\n",
+ "191 Diego Farias Farias\n",
+ "192 Andrea Favilli Favilli\n",
+ "193 Federico Fazio Fazio\n",
+ "194 Luiz Felipe Felipe\n",
+ "195 Alex Ferrari Ferrari\n",
+ "196 Salvador Ferrer Ferrer\n",
+ "197 Riccardo Fiamozzi Fiamozzi\n",
+ "198 Luca Fiordilino Fiordilino\n",
+ "199 Vincenzo Fiorillo Fiorillo\n",
+ "200 Alessandro Florenzi Florenzi\n",
+ "201 Fernando Forestieri Forestieri\n",
+ "202 Francesco Forte Forte\n",
+ "203 Gianluca Frabotta Frabotta\n",
+ "204 Davide Frattesi Frattesi\n",
+ "205 Morten Frendrup Frendrup\n",
+ "206 Remo Freuler Freuler\n",
+ "207 Matteo Gabbia Gabbia\n",
+ "208 Manolo Gabbiadini Gabbiadini\n",
+ "209 Gianluca Gaetano Gaetano\n",
+ "210 Luca Gagliano Gagliano\n",
+ "211 Roberto Gagliardini Gagliardini\n",
+ "212 Riccardo Gagliolo Gagliolo\n",
+ "213 Nicolas Galazzi Galazzi\n",
+ "214 Pablo Galdames Millán Millan\n",
+ "215 Luca Gemello Gemello\n",
+ "216 Paolo Ghiglione Ghiglione\n",
+ "217 Faouzi Ghoulam Ghoulam\n",
+ "218 Sebastian Giovinco Giovinco\n",
+ "219 Olivier Giroud Giroud\n",
+ "220 Diego Godín Godin\n",
+ "221 Edoardo Goldaniga Goldaniga\n",
+ "222 Edoardo Goldaniga Goldaniga\n",
+ "223 Cedric Gondo Gondo\n",
+ "224 Nicolás González Gonzalez\n",
+ "225 Robin Gosens Gosens\n",
+ "226 Robin Gosens Gosens\n",
+ "227 Alberto Grassi Grassi\n",
+ "228 Koray Günter Gunter\n",
+ "229 Albert Guðmundsson Gumundsson\n",
+ "230 Emmanuel Gyasi Gyasi\n",
+ "231 Norbert Gyömbér Gyomber\n",
+ "232 Nicolas Haas Haas\n",
+ "233 Samir Handanović Handanovic\n",
+ "234 Ridgeciano Haps Haps\n",
+ "235 Abdou Harroui Harroui\n",
+ "236 Hans Hateboer Hateboer\n",
+ "237 Silvan Hefti Hefti\n",
+ "238 Liam Henderson Henderson\n",
+ "239 Dalbert Henrique Henrique\n",
+ "240 Matheus Henrique Henrique\n",
+ "241 Thomas Henry Henry\n",
+ "242 Theo Hernández Hernandez\n",
+ "243 Hernani Hernani\n",
+ "244 Daan Heymans Heymans\n",
+ "245 Aaron Hickey Hickey\n",
+ "246 Martin Hongla Hongla\n",
+ "247 Sydney van Hooijdonk Hooijdonk\n",
+ "248 Petko Hristov Hristov\n",
+ "249 Elseid Hysaj Hysaj\n",
+ "250 Roger Ibanez Ibanez\n",
+ "251 Zlatan Ibrahimović Ibrahimovic\n",
+ "252 Igor Igor\n",
+ "253 Jonathan Ikone Ikone\n",
+ "254 Ivan Ilić Ilic\n",
+ "255 Josip Iličić Ilicic\n",
+ "256 Ciro Immobile Immobile\n",
+ "257 Lorenzo Insigne Insigne\n",
+ "258 Ardian Ismajli Ismajli\n",
+ "259 Armando Izzo Izzo\n",
+ "260 Mato Jajalo Jajalo\n",
+ "261 Paweł Jaroszyński Jaroszynski\n",
+ "262 Juan Jesus Jesus\n",
+ "263 Dennis Johnsen Johnsen\n",
+ "264 Kaio Jorge Jorge\n",
+ "265 Flavio Junior Bianchi Bianchi\n",
+ "266 Hamed Junior Traorè Traore\n",
+ "267 Nikola Kalinić Kalinic\n",
+ "268 Yayah Kallon Kallon\n",
+ "269 Pierre Kalulu Kalulu\n",
+ "270 Dimitrije Kamenović Kamenovic\n",
+ "271 Rick Karsdorp Karsdorp\n",
+ "272 Denso Kasius Kasius\n",
+ "273 Grigoris Kastanos Kastanos\n",
+ "274 Moise Kean Kean\n",
+ "275 Wajdi Kechrida Kechrida\n",
+ "276 Dimitrios Keramitsis Keramitsis\n",
+ "277 Franck Kessié Kessie\n",
+ "278 Jakub Kiwior Kiwior\n",
+ "279 Sofian Kiyine Kiyine\n",
+ "280 Simon Kjær Kjr\n",
+ "281 Aleksandr Kokorin Kokorin\n",
+ "282 Aleksandar Kolarov Kolarov\n",
+ "283 Teun Koopmeiners Koopmeiners\n",
+ "284 Kalidou Koulibaly Koulibaly\n",
+ "285 Christos Kourfalidis Kourfalidis\n",
+ "286 Viktor Kovalenko Kovalenko\n",
+ "287 Julian Kristoffersen Kristoffersen\n",
+ "288 Rade Krunić Krunic\n",
+ "289 Dejan Kulusevski Kulusevski\n",
+ "290 Marash Kumbulla Kumbulla\n",
+ "291 Giorgos Kyriakopoulos Kyriakopoulos\n",
+ "292 Andrea La Mantia Mantia\n",
+ "293 Sam Lammers Lammers\n",
+ "294 Kevin Lasagna Lasagna\n",
+ "295 Darko Lazović Lazovic\n",
+ "296 Manuel Lazzari Lazzari\n",
+ "297 Patrick Leal Leal\n",
+ "298 Rafael Leão Leao\n",
+ "299 Lucas Leiva Leiva\n",
+ "300 Luca Lezzerini Lezzerini\n",
+ "301 Ben Lhassine Kone Kone\n",
+ "302 Matthijs de Ligt Ligt\n",
+ "303 Anderson Lima Lima\n",
+ "304 Karol Linetty Linetty\n",
+ "305 Stanislav Lobotka Lobotka\n",
+ "306 Manuel Locatelli Locatelli\n",
+ "307 Maxime Lopez Lopez\n",
+ "308 Matteo Lovato Lovato\n",
+ "309 Matteo Lovato Lovato\n",
+ "310 Hirving Lozano Lozano\n",
+ "311 José Luis Palomino Palomino\n",
+ "312 Saša Lukić Lukic\n",
+ "313 Sebastiano Luperto Luperto\n",
+ "314 Charalambos Lykogiannis Lykogiannis\n",
+ "315 Niki Mäenpää Maenpaa\n",
+ "316 Giulio Maggiore Maggiore\n",
+ "317 Francesco Magnanelli Magnanelli\n",
+ "318 Giangiacomo Magnani Magnani\n",
+ "319 Giangiacomo Magnani Magnani\n",
+ "320 Mike Maignan Maignan\n",
+ "321 Ainsley Maitland-Niles Maitland-Niles\n",
+ "322 Jean-Victor Makengo Makengo\n",
+ "323 Nikola Maksimović Maksimovic\n",
+ "324 Kévin Malcuit Malcuit\n",
+ "325 Daniel Maldini Maldini\n",
+ "326 Youssef Maleh Maleh\n",
+ "327 Ruslan Malinovskyi Malinovskyi\n",
+ "328 Rey Manaj Manaj\n",
+ "329 Gianluca Mancini Mancini\n",
+ "330 Leonardo Mancuso Mancuso\n",
+ "331 Rolando Mandragora Mandragora\n",
+ "332 Kostas Manolas Manolas\n",
+ "333 Riccardo Marchizza Marchizza\n",
+ "334 Gian Marco Ferrari Ferrari\n",
+ "335 Davide Marfella Marfella\n",
+ "336 Pablo Marí Mari\n",
+ "337 Răzvan Marin Marin\n",
+ "338 Lautaro Martínez Martinez\n",
+ "339 Lucas Martínez Quarta Quarta\n",
+ "340 Adam Marušić Marusic\n",
+ "341 Andrea Masiello Masiello\n",
+ "342 Aleš Matějů Mateju\n",
+ "343 Borja Mayoral Mayoral\n",
+ "344 Pasquale Mazzocchi Mazzocchi\n",
+ "345 Pasquale Mazzocchi Mazzocchi\n",
+ "346 Ibrahima Mbaye Mbaye\n",
+ "347 Weston McKennie McKennie\n",
+ "348 Gary Medel Medel\n",
+ "349 Filippo Melegoni Melegoni\n",
+ "350 Arthur Melo Melo\n",
+ "351 Alex Meret Meret\n",
+ "352 Yıldırım Mert Çetin Cetin\n",
+ "353 Dries Mertens Mertens\n",
+ "354 Junior Messias Messias\n",
+ "355 Kingsley Michael Michael\n",
+ "356 Valentin Mihaila Mihaila\n",
+ "357 Mikael Mikael\n",
+ "358 Hilmir Mikaelsson Mikaelsson\n",
+ "359 Nikola Milenković Milenkovic\n",
+ "360 Sergej Milinković-Savić Milinkovic-Savic\n",
+ "361 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "362 Aleksei Miranchuk Miranchuk\n",
+ "363 Fabio Miretti Miretti\n",
+ "364 Henrikh Mkhitaryan Mkhitaryan\n",
+ "365 Marco Modolo Modolo\n",
+ "366 Nahuel Molina Molina\n",
+ "367 Cristian Molinaro Molinaro\n",
+ "368 Lorenzo Montipò Montipo\n",
+ "369 Álvaro Morata Morata\n",
+ "370 Raúl Moro Moro\n",
+ "371 Andrei Motoc Motoc\n",
+ "372 Lys Mousset Mousset\n",
+ "373 Samuel Mráz Mraz\n",
+ "374 Mert Müldür Muldur\n",
+ "375 Luis Muriel Muriel\n",
+ "376 Vedat Muriqi Muriqi\n",
+ "377 Nicola Murru Murru\n",
+ "378 Juan Musso Musso\n",
+ "379 Joakim Mæhle Mhle\n",
+ "380 Nahitan Nández Nandez\n",
+ "381 Nani Nani\n",
+ "382 Matija Nastasić Nastasic\n",
+ "383 Ilija Nestorovski Nestorovski\n",
+ "384 Aurélien Nguiamba Nguiamba\n",
+ "385 Dimitris Nikolaou Nikolaou\n",
+ "386 Jean-Pierre Nsame Nsame\n",
+ "387 Bram Nuytinck Nuytinck\n",
+ "388 Simeon Nwankwo Nwankwo\n",
+ "389 M'Bala Nzola Nzola\n",
+ "390 Adam Obert Obert\n",
+ "391 Joel Obi Obi\n",
+ "392 Brian Oddei Oddei\n",
+ "393 Álvaro Odriozola Odriozola\n",
+ "394 Stefano Okaka Okaka\n",
+ "395 David Okereke Okereke\n",
+ "396 Christian Oliva Oliva\n",
+ "397 Sérgio Oliveira Oliveira\n",
+ "398 Riccardo Orsolini Orsolini\n",
+ "399 Victor Osimhen Osimhen\n",
+ "400 David Ospina Ospina\n",
+ "401 Adam Ounas Ounas\n",
+ "402 Daniele Padelli Padelli\n",
+ "403 Simone Pafundi Pafundi\n",
+ "404 Martin Palumbo Palumbo\n",
+ "405 Goran Pandev Pandev\n",
+ "406 Ivor Pandur Pandur\n",
+ "407 Fabiano Parisi Parisi\n",
+ "408 Mario Pašalić Pasalic\n",
+ "409 Patric Patric\n",
+ "410 Rui Patrício Patricio\n",
+ "411 Leonardo Pavoletti Pavoletti\n",
+ "412 Pedro Pedro\n",
+ "413 João Pedro Pedro\n",
+ "414 Gianluca Pegolo Pegolo\n",
+ "415 Pietro Pellegri Pellegri\n",
+ "416 Pietro Pellegri Pellegri\n",
+ "417 Lorenzo Pellegrini Pellegrini\n",
+ "418 Luca Pellegrini Pellegrini\n",
+ "419 Federico Peluso Peluso\n",
+ "420 Gastón Pereiro Pereiro\n",
+ "421 Dor Peretz Peretz\n",
+ "422 Roberto Pereyra Pereyra\n",
+ "423 Carles Pérez Perez\n",
+ "424 Nehuén Pérez Perez\n",
+ "425 Mattia Perin Perin\n",
+ "426 Ivan Perišić Perisic\n",
+ "427 Diego Perotti Perotti\n",
+ "428 Mario Perrone Perrone\n",
+ "429 Matteo Pessina Pessina\n",
+ "430 Andrea Petagna Petagna\n",
+ "431 Giuseppe Pezzella Pezzella\n",
+ "432 Krzysztof Piątek Piatek\n",
+ "433 Roberto Piccoli Piccoli\n",
+ "434 Roberto Piccoli Piccoli\n",
+ "435 Andrea Pinamonti Pinamonti\n",
+ "436 Carlo Pinsoglio Pinsoglio\n",
+ "437 Riccardo Pinzi Pinzi\n",
+ "438 Marko Pjaca Pjaca\n",
+ "439 Tommaso Pobega Pobega\n",
+ "440 Suf Podgoreanu Podgoreanu\n",
+ "441 Matteo Politano Politano\n",
+ "442 Manolo Portanova Portanova\n",
+ "443 Dennis Praet Praet\n",
+ "444 Mateusz Praszelik Praszelik\n",
+ "445 Ivan Provedel Provedel\n",
+ "446 Erick Pulgar Pulgar\n",
+ "447 Ignacio Pussetto Pussetto\n",
+ "448 Niklas Pyyhtiä Pyyhtia\n",
+ "449 Fabio Quagliarella Quagliarella\n",
+ "450 Adrien Rabiot Rabiot\n",
+ "451 Ivan Radovanović Radovanovic\n",
+ "452 Ionuț Radu Radu\n",
+ "453 Ștefan Radu Radu\n",
+ "454 Boris Radunović Radunovic\n",
+ "455 Antonio Raimondo Raimondo\n",
+ "456 Aaron Ramsey Ramsey\n",
+ "457 Luca Ranieri Ranieri\n",
+ "458 Andrea Ranocchia Ranocchia\n",
+ "459 Giacomo Raspadori Raspadori\n",
+ "460 Nicola Ravaglia Ravaglia\n",
+ "461 Ante Rebić Rebic\n",
+ "462 Arkadiusz Reca Reca\n",
+ "463 Pepe Reina Reina\n",
+ "464 Panagiotis Retsos Retsos\n",
+ "465 Bryan Reynolds Reynolds\n",
+ "466 Franck Ribéry Ribery\n",
+ "467 Samuele Ricci Ricci\n",
+ "468 Samuele Ricci Ricci\n",
+ "469 Tomás Rincón Rincon\n",
+ "470 Tomás Rincón Rincon\n",
+ "471 Ricardo Rodríguez Rodriguez\n",
+ "472 Marko Rog Rog\n",
+ "473 Rogério Rogerio\n",
+ "474 Alessio Romagnoli Romagnoli\n",
+ "475 Simone Romagnoli Romagnoli\n",
+ "476 Luka Romero Romero\n",
+ "477 Sergio Romero Romero\n",
+ "478 Cristiano Ronaldo Ronaldo\n",
+ "479 Marten de Roon Roon\n",
+ "480 Francesco Rossi Rossi\n",
+ "481 Nicolò Rovella Rovella\n",
+ "482 Amir Rrahmani Rrahmani\n",
+ "483 Ruan Ruan\n",
+ "484 Daniele Rugani Rugani\n",
+ "485 Matteo Ruggeri Ruggeri\n",
+ "486 Mário Rui Rui\n",
+ "487 Fabián Ruiz Peña Pena\n",
+ "488 Alessandro Russo Russo\n",
+ "489 Stefano Sabelli Sabelli\n",
+ "490 Abdelhamid Sabiri Sabiri\n",
+ "491 Alexis Saelemaekers Saelemaekers\n",
+ "492 Jacopo Sala Sala\n",
+ "493 Eddie Salcedo Salcedo\n",
+ "494 Lazar Samardzic Samardzic\n",
+ "495 Luigi Samele Samele\n",
+ "496 Antonio Sanabria Sanabria\n",
+ "497 Alexis Sánchez Sanchez\n",
+ "498 Alex Sandro Sandro\n",
+ "499 Nicola Sansone Sansone\n",
+ "500 Federico Santander Santander\n",
+ "501 Samir Santos Santos\n",
+ "502 Riccardo Saponara Saponara\n",
+ "503 Giacomo Satalino Satalino\n",
+ "504 Martin Satriano Satriano\n",
+ "505 Giorgio Scalvini Scalvini\n",
+ "506 Gianluca Scamacca Scamacca\n",
+ "507 Andrea Schiavone Schiavone\n",
+ "508 David Schnegg Schnegg\n",
+ "509 Jerdy Schouten Schouten\n",
+ "510 Demba Seck Seck\n",
+ "511 Adrian Šemper Semper\n",
+ "512 Stefano Sensi Sensi\n",
+ "513 Stefano Sensi Sensi\n",
+ "514 Luigi Sepe Sepe\n",
+ "515 Laurens Serpe Serpe\n",
+ "516 Stephan El Shaarawy Shaarawy\n",
+ "517 Aimar Sher Sher\n",
+ "518 Eldor Shomurodov Shomurodov\n",
+ "519 Alassane Sidibe Sidibe\n",
+ "520 Arnór Sigurðsson Sigursson\n",
+ "521 Adrien Silva Silva\n",
+ "522 Marco Silvestri Silvestri\n",
+ "523 Giovanni Simeone Simeone\n",
+ "524 Giovanni Simeone Simeone\n",
+ "525 Wilfried Singo Singo\n",
+ "526 Salvatore Sirigu Sirigu\n",
+ "527 Leo Skiri Østigård stigard\n",
+ "528 Łukasz Skorupski Skorupski\n",
+ "529 Andreas Skov Olsen Olsen\n",
+ "530 Milan Škriniar Skriniar\n",
+ "531 Chris Smalling Smalling\n",
+ "532 Brandon Soppy Soppy\n",
+ "533 Roberto Soriano Soriano\n",
+ "534 Riccardo Sottil Sottil\n",
+ "535 Matìas Soulé Soule\n",
+ "536 Adama Soumaoro Soumaoro\n",
+ "537 Leonardo Spinazzola Spinazzola\n",
+ "538 Marco Sportiello Sportiello\n",
+ "539 Luca Stanga Stanga\n",
+ "540 Riccardo Stivanello Stivanello\n",
+ "541 Petar Stojanović Stojanovic\n",
+ "542 Thomas Strakosha Strakosha\n",
+ "543 Stefan Strandberg Strandberg\n",
+ "544 Dávid Strelec Strelec\n",
+ "545 Kevin Strootman Strootman\n",
+ "546 Jens Stryger Larsen Larsen\n",
+ "547 Leo Štulac Stulac\n",
+ "548 Stefano Sturaro Sturaro\n",
+ "549 Isaac Success Success\n",
+ "550 Vladyslav Supriaha Supriaha\n",
+ "551 Bosko Sutalo Sutalo\n",
+ "552 Mattias Svanberg Svanberg\n",
+ "553 Michael Svoboda Svoboda\n",
+ "554 Wojciech Szczęsny Szczesny\n",
+ "555 Adrien Tameze Tameze\n",
+ "556 Ciprian Tătărușanu Tatarusanu\n",
+ "557 Filippo Terracciano Terracciano\n",
+ "558 Pietro Terracciano Terracciano\n",
+ "559 Aleksa Terzić Terzic\n",
+ "560 Tanner Tessmann Tessmann\n",
+ "561 Arthur Theate Theate\n",
+ "562 Morten Thorsby Thorsby\n",
+ "563 Jeremy Toljan Toljan\n",
+ "564 Rafael Tolói Toloi\n",
+ "565 Takehiro Tomiyasu Tomiyasu\n",
+ "566 Fikayo Tomori Tomori\n",
+ "567 Sandro Tonali Tonali\n",
+ "568 Lorenzo Tonelli Tonelli\n",
+ "569 Ernesto Torregrossa Torregrossa\n",
+ "570 Lucas Torreira Torreira\n",
+ "571 Abdoulaye Touré Toure\n",
+ "572 Simone Trimboli Trimboli\n",
+ "573 Axel Tuanzebe Tuanzebe\n",
+ "574 Iyenoma Udogie Udogie\n",
+ "575 Maximilian Ullmann Ullmann\n",
+ "576 Kacper Urbanski Urbanski\n",
+ "577 Antonio Vacca Vacca\n",
+ "578 Zinho Vanheusden Vanheusden\n",
+ "579 Johan Vásquez Vasquez\n",
+ "580 Denis Vavro Vavro\n",
+ "581 Matías Vecino Vecino\n",
+ "582 Miguel Veloso Veloso\n",
+ "583 Lorenzo Venuti Venuti\n",
+ "584 Daniele Verde Verde\n",
+ "585 Simone Verdi Verdi\n",
+ "586 Simone Verdi Verdi\n",
+ "587 Jordan Veretout Veretout\n",
+ "588 Edoardo Vergani Vergani\n",
+ "589 Valerio Verre Verre\n",
+ "590 Valerio Verre Verre\n",
+ "591 Freddie Veseli Veseli\n",
+ "592 Guglielmo Vicario Vicario\n",
+ "593 Arturo Vidal Vidal\n",
+ "594 Ronaldo Vieira Vieira\n",
+ "595 Luca Vignali Vignali\n",
+ "596 Emanuel Vignato Vignato\n",
+ "597 Matías Viña Vina\n",
+ "598 Nicolas Viola Viola\n",
+ "599 Mattia Viti Viti\n",
+ "600 Dušan Vlahović Vlahovic\n",
+ "601 Dušan Vlahović Vlahovic\n",
+ "602 Mërgim Vojvoda Vojvoda\n",
+ "603 Cristian Volpato Volpato\n",
+ "604 Stefan de Vrij Vrij\n",
+ "605 Walace Walace\n",
+ "606 Sebastian Walukiewicz Walukiewicz\n",
+ "607 Magnus Warming Warming\n",
+ "608 Kelvin Yeboah Yeboah\n",
+ "609 Gerard Yepes Yepes\n",
+ "610 Maya Yoshida Yoshida\n",
+ "611 Mattia Zaccagni Zaccagni\n",
+ "612 Mattia Zaccagni Zaccagni\n",
+ "613 Denis Zakaria Zakaria\n",
+ "614 Nicola Zalewski Zalewski\n",
+ "615 Andre-Frank Zambo Anguissa Anguissa\n",
+ "616 Nicolò Zaniolo Zaniolo\n",
+ "617 Alessandro Zanoli Zanoli\n",
+ "618 Mattia Zanotti Zanotti\n",
+ "619 Duván Zapata Zapata\n",
+ "620 Gabriele Zappa Zappa\n",
+ "621 Davide Zappacosta Zappacosta\n",
+ "622 Simone Zaza Zaza\n",
+ "623 Marvin Zeegelaar Zeegelaar\n",
+ "624 Piotr Zieliński Zielinski\n",
+ "625 David Zima Zima\n",
+ "626 Jeroen Zoet Zoet\n",
+ "627 Nadir Zortea Zortea\n",
+ "628 Petar Zovko Zovko\n",
+ "629 Szymon Żurkowski Zurkowski\n",
+ "630 Milan Đurić uric\n",
+ "631 Filip Đuričić uricic\n",
+ "632 Emil Audero Audero\n",
+ "633 Nicola Bagnolini Bagnolini\n",
+ "634 Francesco Bardi Bardi\n",
+ "635 Vid Belec Belec\n",
+ "636 Alessandro Berardi Berardi\n",
+ "637 Etrit Berisha Berisha\n",
+ "638 Andrea Consigli Consigli\n",
+ "639 Alessio Cragno Cragno\n",
+ "640 Bartłomiej Drągowski Dragowski\n",
+ "641 Wladimiro Falcone Falcone\n",
+ "642 Vincenzo Fiorillo Fiorillo\n",
+ "643 Luca Gemello Gemello\n",
+ "644 Samir Handanović Handanovic\n",
+ "645 Luca Lezzerini Lezzerini\n",
+ "646 Niki Mäenpää Maenpaa\n",
+ "647 Mike Maignan Maignan\n",
+ "648 Davide Marfella Marfella\n",
+ "649 Alex Meret Meret\n",
+ "650 Vanja Milinković-Savić Milinkovic-Savic\n",
+ "651 Lorenzo Montipò Montipo\n",
+ "652 Juan Musso Musso\n",
+ "653 David Ospina Ospina\n",
+ "654 Daniele Padelli Padelli\n",
+ "655 Ivor Pandur Pandur\n",
+ "656 Rui Patrício Patricio\n",
+ "657 Gianluca Pegolo Pegolo\n",
+ "658 Mattia Perin Perin\n",
+ "659 Carlo Pinsoglio Pinsoglio\n",
+ "660 Ivan Provedel Provedel\n",
+ "661 Ionuț Radu Radu\n",
+ "662 Boris Radunović Radunovic\n",
+ "663 Nicola Ravaglia Ravaglia\n",
+ "664 Pepe Reina Reina\n",
+ "665 Sergio Romero Romero\n",
+ "666 Francesco Rossi Rossi\n",
+ "667 Giacomo Satalino Satalino\n",
+ "668 Adrian Šemper Semper\n",
+ "669 Luigi Sepe Sepe\n",
+ "670 Marco Silvestri Silvestri\n",
+ "671 Salvatore Sirigu Sirigu\n",
+ "672 Łukasz Skorupski Skorupski\n",
+ "673 Marco Sportiello Sportiello\n",
+ "674 Thomas Strakosha Strakosha\n",
+ "675 Wojciech Szczęsny Szczesny\n",
+ "676 Ciprian Tătărușanu Tatarusanu\n",
+ "677 Pietro Terracciano Terracciano\n",
+ "678 Guglielmo Vicario Vicario\n",
+ "679 Jeroen Zoet Zoet\n",
+ "680 Petar Zovko Zovko\n"
]
}
],
@@ -887,7 +898,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 44,
"id": "3e759b1b",
"metadata": {},
"outputs": [
@@ -896,7 +907,8 @@
"output_type": "stream",
"text": [
"Maehle\n",
- "Kjaer\n"
+ "Kjaer\n",
+ "Cabral\n"
]
},
{
@@ -1011,7 +1023,7 @@
"10 Martinez Alvarez Sassuolo"
]
},
- "execution_count": 30,
+ "execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
@@ -1031,7 +1043,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 45,
"id": "f96eaaa1",
"metadata": {},
"outputs": [
@@ -1039,26 +1051,26 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2214747983.py:14: SettingWithCopyWarning: \n",
- "A value is trying to be set on a copy of a slice from a DataFrame\n",
- "\n",
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " fc_players['surname'][i] = spl[-2]\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2214747983.py:15: SettingWithCopyWarning: \n",
- "A value is trying to be set on a copy of a slice from a DataFrame\n",
- "\n",
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " fc_players['initial'][i] = spl[-1][0]\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2214747983.py:17: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2214747983.py:17: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" fc_players['surname'][i] = spl[-1]\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2214747983.py:18: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2214747983.py:18: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " fc_players['initial'][i] = ''\n"
+ " fc_players['initial'][i] = ''\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2214747983.py:14: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame\n",
+ "\n",
+ "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+ " fc_players['surname'][i] = spl[-2]\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2214747983.py:15: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame\n",
+ "\n",
+ "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+ " fc_players['initial'][i] = spl[-1][0]\n"
]
},
{
@@ -1093,12 +1105,12 @@
" \n",
" \n",
" 0 \n",
- " 350 \n",
+ " 4312 \n",
" P \n",
- " Donnarumma G. \n",
+ " Maignan \n",
" Milan \n",
- " Donnarumma \n",
- " G \n",
+ " Maignan \n",
+ " \n",
" \n",
" \n",
" 1 \n",
@@ -1111,6 +1123,15 @@
" \n",
" \n",
" 2 \n",
+ " 2468 \n",
+ " P \n",
+ " Ospina \n",
+ " Napoli \n",
+ " Ospina \n",
+ " \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 250 \n",
" P \n",
" Handanovic \n",
@@ -1119,21 +1140,12 @@
" \n",
" \n",
" \n",
- " 3 \n",
- " 610 \n",
- " P \n",
- " Gollini \n",
- " Atalanta \n",
- " Gollini \n",
- " \n",
- " \n",
- " \n",
" 4 \n",
- " 761 \n",
+ " 316 \n",
" P \n",
- " Audero \n",
- " Sampdoria \n",
- " Audero \n",
+ " Berisha \n",
+ " Torino \n",
+ " Berisha \n",
" \n",
" \n",
" \n",
@@ -1146,73 +1158,73 @@
" ... \n",
" \n",
" \n",
- " 559 \n",
- " 5361 \n",
+ " 545 \n",
+ " 5391 \n",
" A \n",
- " Rabbi \n",
- " Bologna \n",
- " Rabbi \n",
+ " Kokorin \n",
+ " Fiorentina \n",
+ " Kokorin \n",
" \n",
" \n",
" \n",
- " 560 \n",
- " 5378 \n",
+ " 546 \n",
+ " 5458 \n",
" A \n",
- " Oddei \n",
- " Sassuolo \n",
- " Oddei \n",
+ " Munteanu \n",
+ " Fiorentina \n",
+ " Munteanu \n",
" \n",
" \n",
" \n",
- " 561 \n",
- " 5414 \n",
+ " 547 \n",
+ " 5459 \n",
" A \n",
- " Karamoko Is. \n",
- " Sassuolo \n",
- " Karamoko \n",
- " I \n",
+ " Buksa \n",
+ " Genoa \n",
+ " Buksa \n",
+ " \n",
" \n",
" \n",
- " 562 \n",
- " 5419 \n",
+ " 548 \n",
+ " 5505 \n",
" A \n",
- " Correia \n",
+ " Kaio Jorge \n",
" Juventus \n",
- " Correia \n",
+ " Jorge \n",
" \n",
" \n",
" \n",
- " 563 \n",
- " 5436 \n",
+ " 549 \n",
+ " 5785 \n",
" A \n",
- " Raimondo \n",
- " Bologna \n",
- " Raimondo \n",
+ " Lazetic \n",
+ " Milan \n",
+ " Lazetic \n",
" \n",
" \n",
" \n",
"\n",
- "564 rows × 6 columns
\n",
+ "550 rows × 6 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial\n",
- "0 350 P Donnarumma G. Milan Donnarumma G\n",
- "1 453 P Szczesny Juventus Szczesny \n",
- "2 250 P Handanovic Inter Handanovic \n",
- "3 610 P Gollini Atalanta Gollini \n",
- "4 761 P Audero Sampdoria Audero \n",
- ".. ... .. ... ... ... ...\n",
- "559 5361 A Rabbi Bologna Rabbi \n",
- "560 5378 A Oddei Sassuolo Oddei \n",
- "561 5414 A Karamoko Is. Sassuolo Karamoko I\n",
- "562 5419 A Correia Juventus Correia \n",
- "563 5436 A Raimondo Bologna Raimondo \n",
+ " id r name team surname initial\n",
+ "0 4312 P Maignan Milan Maignan \n",
+ "1 453 P Szczesny Juventus Szczesny \n",
+ "2 2468 P Ospina Napoli Ospina \n",
+ "3 250 P Handanovic Inter Handanovic \n",
+ "4 316 P Berisha Torino Berisha \n",
+ ".. ... .. ... ... ... ...\n",
+ "545 5391 A Kokorin Fiorentina Kokorin \n",
+ "546 5458 A Munteanu Fiorentina Munteanu \n",
+ "547 5459 A Buksa Genoa Buksa \n",
+ "548 5505 A Kaio Jorge Juventus Jorge \n",
+ "549 5785 A Lazetic Milan Lazetic \n",
"\n",
- "[564 rows x 6 columns]"
+ "[550 rows x 6 columns]"
]
},
- "execution_count": 31,
+ "execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
@@ -1243,7 +1255,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 46,
"id": "9c50e4b5",
"metadata": {},
"outputs": [
@@ -1251,12 +1263,12 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\1456862974.py:4: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\1456862974.py:4: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" fc_players['fb_ID'][i] = -1\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\1456862974.py:10: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\1456862974.py:10: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1281,7 +1293,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 47,
"id": "5a3e2771",
"metadata": {},
"outputs": [
@@ -1289,43 +1301,50 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Radunovic\n",
- "Da Costa\n",
- "Zima L.\n",
+ "Mirante\n",
+ "Ujkani\n",
+ "Marchetti\n",
+ "Cordaz\n",
"Aresti\n",
- "Rossi F.\n",
+ "Santurro\n",
+ "Fuzato\n",
"Rosati\n",
- "Contini\n",
- "Brancolini\n",
- "Avogadri\n",
- "Turati\n",
- "Breza\n",
- "Ciocci\n",
- "Gori P.\n",
- "Ravaglia\n",
- "Krapikas\n",
"Boer\n",
- "Alia\n",
- "Rinaldi\n",
- "Farelli\n",
- "Samir\n",
- "Danilo Lar.\n",
+ "Gasparini\n",
+ "Furlan\n",
+ "Adamonis\n",
+ "Bertinato\n",
+ "Molla\n",
+ "Piana\n",
+ "Neri\n",
+ "Ostigard\n",
+ "Fares\n",
+ "Dalbert\n",
+ "Czyborra\n",
"Romagna\n",
- "Ferigra\n",
- "Prodl\n",
- "Amione\n",
- "Djuricic\n",
+ "Ballarini\n",
+ "De Winter\n",
"Ruiz\n",
- "Zaniolo\n",
+ "Djuricic\n",
+ "Gudmundsson A.\n",
"Arthur\n",
+ "Galdames\n",
+ "Ciervo\n",
+ "Sigurdsson A.\n",
+ "Kingsley\n",
+ "Obiang\n",
"Akpa Akpro\n",
- "Benassi\n",
- "Nicolussi Caviglia\n",
- "Eyango\n",
- "Simy\n",
+ "Leo' Sena\n",
+ "Rojas\n",
+ "Pecile\n",
+ "Bianco\n",
+ "Djuric\n",
"Keita B.\n",
- "Ake' M.\n",
- "Luvumbo\n"
+ "Supryaga\n",
+ "Jovane\n",
+ "Edera\n",
+ "Munteanu\n",
+ "Lazetic\n"
]
}
],
@@ -1337,7 +1356,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 48,
"id": "3b4a36af",
"metadata": {},
"outputs": [
@@ -1374,13 +1393,13 @@
" \n",
" \n",
" 0 \n",
- " 350 \n",
+ " 4312 \n",
" P \n",
- " Donnarumma G. \n",
+ " Maignan \n",
" Milan \n",
- " Donnarumma \n",
- " G \n",
- " 629 \n",
+ " Maignan \n",
+ " \n",
+ " 647 \n",
" \n",
" \n",
" 1 \n",
@@ -1390,37 +1409,37 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 664 \n",
+ " 675 \n",
" \n",
" \n",
" 2 \n",
+ " 2468 \n",
+ " P \n",
+ " Ospina \n",
+ " Napoli \n",
+ " Ospina \n",
+ " \n",
+ " 653 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 250 \n",
" P \n",
" Handanovic \n",
" Inter \n",
" Handanovic \n",
" \n",
- " 635 \n",
- " \n",
- " \n",
- " 3 \n",
- " 610 \n",
- " P \n",
- " Gollini \n",
- " Atalanta \n",
- " Gollini \n",
- " \n",
- " 634 \n",
+ " 644 \n",
" \n",
" \n",
" 4 \n",
- " 761 \n",
+ " 316 \n",
" P \n",
- " Audero \n",
- " Sampdoria \n",
- " Audero \n",
+ " Berisha \n",
+ " Torino \n",
+ " Berisha \n",
" \n",
- " 620 \n",
+ " 637 \n",
" \n",
" \n",
" ... \n",
@@ -1433,78 +1452,78 @@
" ... \n",
" \n",
" \n",
- " 559 \n",
- " 5361 \n",
+ " 545 \n",
+ " 5391 \n",
" A \n",
- " Rabbi \n",
- " Bologna \n",
- " Rabbi \n",
+ " Kokorin \n",
+ " Fiorentina \n",
+ " Kokorin \n",
" \n",
- " 464 \n",
+ " 281 \n",
" \n",
" \n",
- " 560 \n",
- " 5378 \n",
+ " 546 \n",
+ " 5458 \n",
" A \n",
- " Oddei \n",
- " Sassuolo \n",
- " Oddei \n",
+ " Munteanu \n",
+ " Fiorentina \n",
+ " Munteanu \n",
" \n",
- " 400 \n",
+ " -1 \n",
" \n",
" \n",
- " 561 \n",
- " 5414 \n",
+ " 547 \n",
+ " 5459 \n",
" A \n",
- " Karamoko Is. \n",
- " Sassuolo \n",
- " Karamoko \n",
- " I \n",
- " 267 \n",
+ " Buksa \n",
+ " Genoa \n",
+ " Buksa \n",
+ " \n",
+ " 83 \n",
" \n",
" \n",
- " 562 \n",
- " 5419 \n",
+ " 548 \n",
+ " 5505 \n",
" A \n",
- " Correia \n",
+ " Kaio Jorge \n",
" Juventus \n",
- " Correia \n",
+ " Jorge \n",
" \n",
- " 113 \n",
+ " 264 \n",
" \n",
" \n",
- " 563 \n",
- " 5436 \n",
+ " 549 \n",
+ " 5785 \n",
" A \n",
- " Raimondo \n",
- " Bologna \n",
- " Raimondo \n",
+ " Lazetic \n",
+ " Milan \n",
+ " Lazetic \n",
" \n",
- " 470 \n",
+ " -1 \n",
" \n",
" \n",
"\n",
- "564 rows × 7 columns
\n",
+ "550 rows × 7 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID\n",
- "0 350 P Donnarumma G. Milan Donnarumma G 629\n",
- "1 453 P Szczesny Juventus Szczesny 664\n",
- "2 250 P Handanovic Inter Handanovic 635\n",
- "3 610 P Gollini Atalanta Gollini 634\n",
- "4 761 P Audero Sampdoria Audero 620\n",
- ".. ... .. ... ... ... ... ...\n",
- "559 5361 A Rabbi Bologna Rabbi 464\n",
- "560 5378 A Oddei Sassuolo Oddei 400\n",
- "561 5414 A Karamoko Is. Sassuolo Karamoko I 267\n",
- "562 5419 A Correia Juventus Correia 113\n",
- "563 5436 A Raimondo Bologna Raimondo 470\n",
+ " id r name team surname initial fb_ID\n",
+ "0 4312 P Maignan Milan Maignan 647\n",
+ "1 453 P Szczesny Juventus Szczesny 675\n",
+ "2 2468 P Ospina Napoli Ospina 653\n",
+ "3 250 P Handanovic Inter Handanovic 644\n",
+ "4 316 P Berisha Torino Berisha 637\n",
+ ".. ... .. ... ... ... ... ...\n",
+ "545 5391 A Kokorin Fiorentina Kokorin 281\n",
+ "546 5458 A Munteanu Fiorentina Munteanu -1\n",
+ "547 5459 A Buksa Genoa Buksa 83\n",
+ "548 5505 A Kaio Jorge Juventus Jorge 264\n",
+ "549 5785 A Lazetic Milan Lazetic -1\n",
"\n",
- "[564 rows x 7 columns]"
+ "[550 rows x 7 columns]"
]
},
- "execution_count": 34,
+ "execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
@@ -1515,7 +1534,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 49,
"id": "1d73a312",
"metadata": {},
"outputs": [
@@ -1523,57 +1542,39 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
- " fc_players[columns_to_copy] = 0\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\2261782218.py:9: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\2261782218.py:9: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1596,7 +1597,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 50,
"id": "7acb93e3",
"metadata": {},
"outputs": [
@@ -1621,7 +1622,7 @@
" dtype='object')"
]
},
- "execution_count": 36,
+ "execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
@@ -1632,7 +1633,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 51,
"id": "eb9127a9",
"metadata": {},
"outputs": [
@@ -1640,87 +1641,87 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:4: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
" fc_players[columns_to_copy[2:]] = 0 # add columns but do not override age and birth_year\n",
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_9056\\3175819694.py:12: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_4780\\3175819694.py:12: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -1745,7 +1746,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 52,
"id": "8f2ee8b9",
"metadata": {},
"outputs": [
@@ -1796,1556 +1797,1496 @@
" \n",
" \n",
" 0 \n",
- " Nícolas Andrade \n",
- " br BRA \n",
- " GK \n",
- " Udinese \n",
- " 32 \n",
- " 1988 \n",
- " 2.0 \n",
- " 2.0 \n",
- " 180.0 \n",
- " 5.0 \n",
- " ... \n",
- " 29.4 \n",
- " 9.0 \n",
- " 55.6 \n",
- " 43.1 \n",
- " 23.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 11.0 \n",
- " \n",
- " \n",
- " 1 \n",
" Emil Audero \n",
" it ITA \n",
" GK \n",
" Sampdoria \n",
- " 23 \n",
+ " 24 \n",
" 1997 \n",
- " 37.0 \n",
- " 37.0 \n",
- " 3330.0 \n",
- " 54.0 \n",
+ " 29.0 \n",
+ " 29.0 \n",
+ " 2560.0 \n",
+ " 48.0 \n",
" ... \n",
- " 35.0 \n",
- " 259.0 \n",
- " 64.1 \n",
- " 45.3 \n",
- " 563.0 \n",
- " 12.0 \n",
- " 2.1 \n",
- " 34.0 \n",
- " 0.92 \n",
- " 14.8 \n",
+ " 36.3 \n",
+ " 212.0 \n",
+ " 67.9 \n",
+ " 47.6 \n",
+ " 418.0 \n",
+ " 22.0 \n",
+ " 5.3 \n",
+ " 25.0 \n",
+ " 0.88 \n",
+ " 13.5 \n",
+ " \n",
+ " \n",
+ " 1 \n",
+ " Nicola Bagnolini \n",
+ " it ITA \n",
+ " GK \n",
+ " Bologna \n",
+ " 17 \n",
+ " 2004 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 3.0 \n",
+ " 0.0 \n",
+ " ... \n",
+ " 61.0 \n",
+ " 1.0 \n",
+ " 100.0 \n",
+ " 60.0 \n",
+ " 3.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
" \n",
" \n",
" 2 \n",
+ " Francesco Bardi \n",
+ " it ITA \n",
+ " GK \n",
+ " Bologna \n",
+ " 29 \n",
+ " 1992 \n",
+ " 2.0 \n",
+ " 2.0 \n",
+ " 177.0 \n",
+ " 2.0 \n",
+ " ... \n",
+ " 33.0 \n",
+ " 13.0 \n",
+ " 38.5 \n",
+ " 32.1 \n",
+ " 24.0 \n",
+ " 2.0 \n",
+ " 8.3 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 5.5 \n",
+ " \n",
+ " \n",
+ " 3 \n",
+ " Vid Belec \n",
+ " si SVN \n",
+ " GK \n",
+ " Salernitana \n",
+ " 31 \n",
+ " 1990 \n",
+ " 23.0 \n",
+ " 21.0 \n",
+ " 1938.0 \n",
+ " 49.0 \n",
+ " ... \n",
+ " 39.5 \n",
+ " 182.0 \n",
+ " 73.1 \n",
+ " 49.9 \n",
+ " 329.0 \n",
+ " 12.0 \n",
+ " 3.6 \n",
+ " 14.0 \n",
+ " 0.65 \n",
+ " 12.7 \n",
+ " \n",
+ " \n",
+ " 4 \n",
" Alessandro Berardi \n",
" it ITA \n",
" GK \n",
" Hellas Verona \n",
- " 29 \n",
+ " 30 \n",
" 1991 \n",
" 1.0 \n",
- " 0.0 \n",
- " 28.0 \n",
- " 0.0 \n",
- " ... \n",
- " 43.0 \n",
- " 4.0 \n",
- " 100.0 \n",
- " 66.5 \n",
- " 6.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 9.0 \n",
- " \n",
- " \n",
- " 3 \n",
- " Gianluigi Buffon \n",
- " it ITA \n",
- " GK \n",
- " Juventus \n",
- " 42 \n",
- " 1978 \n",
- " 8.0 \n",
- " 8.0 \n",
- " 720.0 \n",
- " 5.0 \n",
- " ... \n",
- " 27.4 \n",
- " 61.0 \n",
- " 19.7 \n",
- " 25.0 \n",
- " 122.0 \n",
" 1.0 \n",
- " 0.8 \n",
- " 9.0 \n",
- " 1.13 \n",
- " 15.2 \n",
- " \n",
- " \n",
- " 4 \n",
- " Simone Colombi \n",
- " it ITA \n",
- " GK \n",
- " Parma \n",
- " 29 \n",
- " 1991 \n",
- " 2.0 \n",
- " 2.0 \n",
- " 180.0 \n",
+ " 90.0 \n",
+ " 3.0 \n",
+ " ... \n",
+ " 39.7 \n",
" 7.0 \n",
- " ... \n",
- " 37.5 \n",
- " 11.0 \n",
- " 72.7 \n",
- " 49.4 \n",
- " 27.0 \n",
+ " 100.0 \n",
+ " 58.7 \n",
+ " 12.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.00 \n",
- " 7.5 \n",
+ " 0.0 \n",
" \n",
" \n",
" 5 \n",
+ " Etrit Berisha \n",
+ " al ALB \n",
+ " GK \n",
+ " Torino \n",
+ " 32 \n",
+ " 1989 \n",
+ " 10.0 \n",
+ " 10.0 \n",
+ " 900.0 \n",
+ " 8.0 \n",
+ " ... \n",
+ " 39.4 \n",
+ " 78.0 \n",
+ " 87.2 \n",
+ " 58.6 \n",
+ " 148.0 \n",
+ " 7.0 \n",
+ " 4.7 \n",
+ " 10.0 \n",
+ " 1.00 \n",
+ " 14.6 \n",
+ " \n",
+ " \n",
+ " 6 \n",
" Andrea Consigli \n",
" it ITA \n",
" GK \n",
" Sassuolo \n",
- " 33 \n",
+ " 34 \n",
" 1987 \n",
" 37.0 \n",
" 37.0 \n",
- " 3330.0 \n",
- " 56.0 \n",
+ " 3322.0 \n",
+ " 63.0 \n",
" ... \n",
- " 27.7 \n",
- " 240.0 \n",
- " 21.7 \n",
- " 24.1 \n",
- " 513.0 \n",
- " 26.0 \n",
- " 5.1 \n",
- " 34.0 \n",
- " 0.92 \n",
- " 15.1 \n",
- " \n",
- " \n",
- " 6 \n",
- " Alex Cordaz \n",
- " it ITA \n",
- " GK \n",
- " Crotone \n",
- " 37 \n",
- " 1983 \n",
- " 36.0 \n",
- " 36.0 \n",
- " 3240.0 \n",
- " 91.0 \n",
- " ... \n",
- " 31.8 \n",
- " 306.0 \n",
- " 39.9 \n",
- " 33.2 \n",
- " 555.0 \n",
- " 18.0 \n",
- " 3.2 \n",
- " 36.0 \n",
- " 1.00 \n",
- " 15.1 \n",
+ " 30.9 \n",
+ " 246.0 \n",
+ " 31.7 \n",
+ " 28.8 \n",
+ " 491.0 \n",
+ " 21.0 \n",
+ " 4.3 \n",
+ " 30.0 \n",
+ " 0.81 \n",
+ " 13.4 \n",
" \n",
" \n",
" 7 \n",
- " Angelo da Costa Júnior \n",
- " br BRA \n",
- " GK \n",
- " Bologna \n",
- " 36 \n",
- " 1983 \n",
- " 6.0 \n",
- " 6.0 \n",
- " 540.0 \n",
- " 9.0 \n",
- " ... \n",
- " 27.6 \n",
- " 43.0 \n",
- " 23.3 \n",
- " 26.3 \n",
- " 86.0 \n",
- " 5.0 \n",
- " 5.8 \n",
- " 10.0 \n",
- " 1.67 \n",
- " 15.0 \n",
- " \n",
- " \n",
- " 8 \n",
" Alessio Cragno \n",
" it ITA \n",
" GK \n",
" Cagliari \n",
- " 26 \n",
+ " 27 \n",
" 1994 \n",
- " 34.0 \n",
- " 34.0 \n",
- " 3060.0 \n",
- " 53.0 \n",
+ " 35.0 \n",
+ " 35.0 \n",
+ " 3150.0 \n",
+ " 63.0 \n",
" ... \n",
- " 33.5 \n",
- " 274.0 \n",
- " 58.4 \n",
- " 42.0 \n",
- " 530.0 \n",
- " 19.0 \n",
- " 3.6 \n",
+ " 39.4 \n",
+ " 316.0 \n",
+ " 73.4 \n",
+ " 48.2 \n",
+ " 484.0 \n",
" 22.0 \n",
- " 0.65 \n",
- " 14.2 \n",
+ " 4.5 \n",
+ " 33.0 \n",
+ " 0.94 \n",
+ " 15.0 \n",
" \n",
" \n",
- " 9 \n",
- " Gian Crespi \n",
- " it ITA \n",
- " GK \n",
- " Crotone \n",
- " 19 \n",
- " 2001 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 0.0 \n",
- " ... \n",
- " 26.3 \n",
- " 11.0 \n",
- " 27.3 \n",
- " 28.0 \n",
- " 14.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 1.00 \n",
- " 18.7 \n",
- " \n",
- " \n",
- " 10 \n",
- " Gianluigi Donnarumma \n",
- " it ITA \n",
- " GK \n",
- " Milan \n",
- " 21 \n",
- " 1999 \n",
- " 37.0 \n",
- " 37.0 \n",
- " 3330.0 \n",
- " 38.0 \n",
- " ... \n",
- " 29.0 \n",
- " 207.0 \n",
- " 41.5 \n",
- " 33.7 \n",
- " 556.0 \n",
- " 29.0 \n",
- " 5.2 \n",
- " 43.0 \n",
- " 1.16 \n",
- " 14.8 \n",
- " \n",
- " \n",
- " 11 \n",
+ " 8 \n",
" Bartłomiej Drągowski \n",
" pl POL \n",
" GK \n",
" Fiorentina \n",
- " 22 \n",
+ " 23 \n",
" 1997 \n",
- " 36.0 \n",
- " 36.0 \n",
- " 3148.0 \n",
- " 55.0 \n",
+ " 7.0 \n",
+ " 7.0 \n",
+ " 556.0 \n",
+ " 8.0 \n",
" ... \n",
- " 37.9 \n",
- " 260.0 \n",
- " 54.6 \n",
+ " 30.8 \n",
+ " 39.0 \n",
" 43.6 \n",
- " 486.0 \n",
- " 24.0 \n",
- " 4.9 \n",
- " 27.0 \n",
- " 0.77 \n",
- " 13.3 \n",
+ " 40.2 \n",
+ " 61.0 \n",
+ " 2.0 \n",
+ " 3.3 \n",
+ " 20.0 \n",
+ " 3.24 \n",
+ " 22.3 \n",
" \n",
" \n",
- " 12 \n",
- " Marco Festa \n",
+ " 9 \n",
+ " Wladimiro Falcone \n",
" it ITA \n",
" GK \n",
- " Crotone \n",
- " 28 \n",
- " 1992 \n",
+ " Sampdoria \n",
+ " 26 \n",
+ " 1995 \n",
+ " 10.0 \n",
+ " 9.0 \n",
+ " 855.0 \n",
+ " 14.0 \n",
+ " ... \n",
+ " 33.2 \n",
+ " 74.0 \n",
+ " 70.3 \n",
+ " 45.0 \n",
+ " 164.0 \n",
+ " 7.0 \n",
+ " 4.3 \n",
+ " 2.0 \n",
+ " 0.21 \n",
+ " 10.2 \n",
+ " \n",
+ " \n",
+ " 10 \n",
+ " Vincenzo Fiorillo \n",
+ " it ITA \n",
+ " GK \n",
+ " Salernitana \n",
+ " 31 \n",
+ " 1990 \n",
" 1.0 \n",
" 1.0 \n",
" 90.0 \n",
- " 1.0 \n",
+ " 5.0 \n",
" ... \n",
- " 31.1 \n",
+ " 36.4 \n",
+ " 12.0 \n",
+ " 83.3 \n",
+ " 50.8 \n",
+ " 16.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 4.0 \n",
+ " \n",
+ " \n",
+ " 11 \n",
+ " Luca Gemello \n",
+ " it ITA \n",
+ " GK \n",
+ " Torino \n",
+ " 21 \n",
+ " 2000 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 0.0 \n",
+ " ... \n",
+ " 47.8 \n",
+ " 3.0 \n",
+ " 100.0 \n",
+ " 56.3 \n",
" 10.0 \n",
- " 50.0 \n",
- " 36.7 \n",
- " 20.0 \n",
" 0.0 \n",
" 0.0 \n",
" 1.0 \n",
" 1.00 \n",
- " 11.5 \n",
+ " 21.0 \n",
+ " \n",
+ " \n",
+ " 12 \n",
+ " Samir Handanović \n",
+ " si SVN \n",
+ " GK \n",
+ " Inter \n",
+ " 37 \n",
+ " 1984 \n",
+ " 37.0 \n",
+ " 37.0 \n",
+ " 3330.0 \n",
+ " 30.0 \n",
+ " ... \n",
+ " 28.1 \n",
+ " 142.0 \n",
+ " 20.4 \n",
+ " 26.5 \n",
+ " 393.0 \n",
+ " 15.0 \n",
+ " 3.8 \n",
+ " 10.0 \n",
+ " 0.27 \n",
+ " 11.2 \n",
" \n",
" \n",
" 13 \n",
- " Daniel Fuzato \n",
- " br BRA \n",
+ " Luca Lezzerini \n",
+ " it ITA \n",
" GK \n",
- " Roma \n",
- " 23 \n",
- " 1997 \n",
- " 5.0 \n",
- " 5.0 \n",
- " 450.0 \n",
- " 7.0 \n",
+ " Venezia \n",
+ " 26 \n",
+ " 1995 \n",
+ " 6.0 \n",
+ " 6.0 \n",
+ " 495.0 \n",
+ " 9.0 \n",
" ... \n",
+ " 30.3 \n",
+ " 44.0 \n",
" 34.1 \n",
- " 30.0 \n",
- " 36.7 \n",
- " 37.2 \n",
- " 50.0 \n",
- " 4.0 \n",
- " 8.0 \n",
+ " 31.0 \n",
+ " 100.0 \n",
" 2.0 \n",
- " 0.40 \n",
- " 11.5 \n",
+ " 2.0 \n",
+ " 3.0 \n",
+ " 0.55 \n",
+ " 13.8 \n",
" \n",
" \n",
" 14 \n",
- " Manuel Gasparini \n",
+ " Niki Mäenpää \n",
+ " fi FIN \n",
+ " GK \n",
+ " Venezia \n",
+ " 36 \n",
+ " 1985 \n",
+ " 17.0 \n",
+ " 16.0 \n",
+ " 1485.0 \n",
+ " 27.0 \n",
+ " ... \n",
+ " 36.0 \n",
+ " 143.0 \n",
+ " 39.2 \n",
+ " 35.4 \n",
+ " 275.0 \n",
+ " 6.0 \n",
+ " 2.2 \n",
+ " 10.0 \n",
+ " 0.61 \n",
+ " 10.8 \n",
+ " \n",
+ " \n",
+ " 15 \n",
+ " Mike Maignan \n",
+ " fr FRA \n",
+ " GK \n",
+ " Milan \n",
+ " 26 \n",
+ " 1995 \n",
+ " 32.0 \n",
+ " 32.0 \n",
+ " 2880.0 \n",
+ " 21.0 \n",
+ " ... \n",
+ " 33.0 \n",
+ " 149.0 \n",
+ " 38.9 \n",
+ " 36.5 \n",
+ " 347.0 \n",
+ " 25.0 \n",
+ " 7.2 \n",
+ " 45.0 \n",
+ " 1.41 \n",
+ " 16.8 \n",
+ " \n",
+ " \n",
+ " 16 \n",
+ " Davide Marfella \n",
" it ITA \n",
" GK \n",
- " Udinese \n",
- " 18 \n",
- " 2002 \n",
+ " Napoli \n",
+ " 21 \n",
+ " 1999 \n",
" 1.0 \n",
" 0.0 \n",
- " 3.0 \n",
+ " 11.0 \n",
" 0.0 \n",
" ... \n",
- " 44.0 \n",
- " 1.0 \n",
- " 0.0 \n",
" 15.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
" \n",
" \n",
- " 15 \n",
- " Pierluigi Gollini \n",
- " it ITA \n",
- " GK \n",
- " Atalanta \n",
- " 25 \n",
- " 1995 \n",
- " 25.0 \n",
- " 25.0 \n",
- " 2156.0 \n",
- " 26.0 \n",
- " ... \n",
- " 32.6 \n",
- " 116.0 \n",
- " 63.8 \n",
- " 49.7 \n",
- " 234.0 \n",
- " 6.0 \n",
- " 2.6 \n",
- " 39.0 \n",
- " 1.63 \n",
- " 17.4 \n",
- " \n",
- " \n",
- " 16 \n",
- " Samir Handanović \n",
- " si SVN \n",
- " GK \n",
- " Inter \n",
- " 36 \n",
- " 1984 \n",
- " 37.0 \n",
- " 37.0 \n",
- " 3240.0 \n",
- " 33.0 \n",
- " ... \n",
- " 26.7 \n",
- " 167.0 \n",
- " 26.9 \n",
- " 30.8 \n",
- " 441.0 \n",
- " 13.0 \n",
- " 2.9 \n",
- " 22.0 \n",
- " 0.61 \n",
- " 14.9 \n",
- " \n",
- " \n",
" 17 \n",
- " Karlo Letica \n",
- " hr CRO \n",
- " GK \n",
- " Sampdoria \n",
- " 23 \n",
- " 1997 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 0.0 \n",
- " ... \n",
- " 25.6 \n",
- " 5.0 \n",
- " 20.0 \n",
- " 33.6 \n",
- " 17.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 1.00 \n",
- " 11.0 \n",
- " \n",
- " \n",
- " 18 \n",
- " Pau López \n",
- " es ESP \n",
- " GK \n",
- " Roma \n",
- " 25 \n",
- " 1994 \n",
- " 21.0 \n",
- " 20.0 \n",
- " 1817.0 \n",
- " 29.0 \n",
- " ... \n",
- " 29.2 \n",
- " 101.0 \n",
- " 38.6 \n",
- " 35.6 \n",
- " 174.0 \n",
- " 7.0 \n",
- " 4.0 \n",
- " 30.0 \n",
- " 1.49 \n",
- " 19.2 \n",
- " \n",
- " \n",
- " 19 \n",
- " Niccolò Manfredini \n",
- " it ITA \n",
- " GK \n",
- " Benevento \n",
- " 32 \n",
- " 1988 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 1.0 \n",
- " ... \n",
- " 25.6 \n",
- " 7.0 \n",
- " 42.9 \n",
- " 36.9 \n",
- " 19.0 \n",
- " 2.0 \n",
- " 10.5 \n",
- " 3.0 \n",
- " 3.00 \n",
- " 13.0 \n",
- " \n",
- " \n",
- " 20 \n",
- " Federico Marchetti \n",
- " it ITA \n",
- " GK \n",
- " Genoa \n",
- " 37 \n",
- " 1983 \n",
- " 4.0 \n",
- " 4.0 \n",
- " 334.0 \n",
- " 11.0 \n",
- " ... \n",
- " 24.4 \n",
- " 34.0 \n",
- " 38.2 \n",
- " 30.4 \n",
- " 48.0 \n",
- " 1.0 \n",
- " 2.1 \n",
- " 6.0 \n",
- " 1.62 \n",
- " 14.5 \n",
- " \n",
- " \n",
- " 21 \n",
" Alex Meret \n",
" it ITA \n",
" GK \n",
" Napoli \n",
- " 23 \n",
+ " 24 \n",
" 1997 \n",
- " 22.0 \n",
- " 22.0 \n",
- " 1980.0 \n",
- " 29.0 \n",
+ " 7.0 \n",
+ " 7.0 \n",
+ " 619.0 \n",
+ " 6.0 \n",
" ... \n",
- " 24.9 \n",
- " 93.0 \n",
- " 16.1 \n",
- " 23.3 \n",
- " 241.0 \n",
- " 8.0 \n",
- " 3.3 \n",
- " 13.0 \n",
- " 0.59 \n",
- " 13.1 \n",
+ " 25.1 \n",
+ " 36.0 \n",
+ " 25.0 \n",
+ " 26.5 \n",
+ " 89.0 \n",
+ " 3.0 \n",
+ " 3.4 \n",
+ " 5.0 \n",
+ " 0.73 \n",
+ " 14.6 \n",
" \n",
" \n",
- " 22 \n",
+ " 18 \n",
" Vanja Milinković-Savić \n",
" rs SRB \n",
" GK \n",
" Torino \n",
- " 23 \n",
+ " 24 \n",
" 1997 \n",
- " 5.0 \n",
- " 5.0 \n",
- " 450.0 \n",
- " 6.0 \n",
+ " 27.0 \n",
+ " 27.0 \n",
+ " 2430.0 \n",
+ " 33.0 \n",
" ... \n",
- " 36.1 \n",
- " 32.0 \n",
- " 53.1 \n",
- " 44.7 \n",
- " 64.0 \n",
- " 1.0 \n",
- " 1.6 \n",
- " 10.0 \n",
- " 2.00 \n",
- " 19.1 \n",
+ " 44.4 \n",
+ " 169.0 \n",
+ " 91.1 \n",
+ " 66.3 \n",
+ " 290.0 \n",
+ " 18.0 \n",
+ " 6.2 \n",
+ " 22.0 \n",
+ " 0.81 \n",
+ " 14.3 \n",
" \n",
" \n",
- " 23 \n",
- " Antonio Mirante \n",
- " it ITA \n",
- " GK \n",
- " Roma \n",
- " 37 \n",
- " 1983 \n",
- " 13.0 \n",
- " 13.0 \n",
- " 1153.0 \n",
- " 19.0 \n",
- " ... \n",
- " 30.9 \n",
- " 83.0 \n",
- " 27.7 \n",
- " 28.6 \n",
- " 162.0 \n",
- " 1.0 \n",
- " 0.6 \n",
- " 23.0 \n",
- " 1.95 \n",
- " 18.3 \n",
- " \n",
- " \n",
- " 24 \n",
+ " 19 \n",
" Lorenzo Montipò \n",
" it ITA \n",
" GK \n",
- " Benevento \n",
- " 24 \n",
+ " Hellas Verona \n",
+ " 25 \n",
" 1996 \n",
- " 37.0 \n",
- " 37.0 \n",
- " 3330.0 \n",
- " 74.0 \n",
+ " 34.0 \n",
+ " 34.0 \n",
+ " 3060.0 \n",
+ " 50.0 \n",
" ... \n",
- " 36.8 \n",
- " 271.0 \n",
- " 58.3 \n",
- " 43.4 \n",
- " 620.0 \n",
- " 19.0 \n",
- " 3.1 \n",
+ " 42.3 \n",
+ " 231.0 \n",
+ " 68.4 \n",
+ " 46.5 \n",
+ " 495.0 \n",
" 21.0 \n",
- " 0.57 \n",
- " 11.6 \n",
+ " 4.2 \n",
+ " 23.0 \n",
+ " 0.68 \n",
+ " 13.1 \n",
" \n",
" \n",
- " 25 \n",
+ " 20 \n",
" Juan Musso \n",
" ar ARG \n",
" GK \n",
- " Udinese \n",
- " 26 \n",
+ " Atalanta \n",
+ " 27 \n",
" 1994 \n",
- " 35.0 \n",
- " 35.0 \n",
- " 3147.0 \n",
- " 51.0 \n",
+ " 33.0 \n",
+ " 33.0 \n",
+ " 2932.0 \n",
+ " 42.0 \n",
" ... \n",
- " 32.9 \n",
- " 254.0 \n",
- " 41.3 \n",
- " 34.7 \n",
- " 484.0 \n",
- " 26.0 \n",
- " 5.4 \n",
- " 18.0 \n",
- " 0.51 \n",
- " 13.3 \n",
+ " 31.3 \n",
+ " 208.0 \n",
+ " 69.2 \n",
+ " 49.7 \n",
+ " 308.0 \n",
+ " 28.0 \n",
+ " 9.1 \n",
+ " 39.0 \n",
+ " 1.20 \n",
+ " 16.5 \n",
" \n",
" \n",
- " 26 \n",
+ " 21 \n",
" David Ospina \n",
" co COL \n",
" GK \n",
" Napoli \n",
- " 31 \n",
+ " 32 \n",
" 1988 \n",
- " 16.0 \n",
- " 16.0 \n",
- " 1440.0 \n",
- " 12.0 \n",
+ " 31.0 \n",
+ " 31.0 \n",
+ " 2790.0 \n",
+ " 25.0 \n",
" ... \n",
" 28.6 \n",
- " 57.0 \n",
- " 14.0 \n",
- " 22.9 \n",
- " 192.0 \n",
+ " 135.0 \n",
+ " 14.1 \n",
+ " 22.5 \n",
+ " 353.0 \n",
+ " 18.0 \n",
+ " 5.1 \n",
+ " 31.0 \n",
+ " 1.00 \n",
+ " 17.0 \n",
+ " \n",
+ " \n",
+ " 22 \n",
+ " Daniele Padelli \n",
+ " it ITA \n",
+ " GK \n",
+ " Udinese \n",
+ " 35 \n",
+ " 1985 \n",
+ " 3.0 \n",
+ " 3.0 \n",
+ " 270.0 \n",
+ " 8.0 \n",
+ " ... \n",
+ " 29.6 \n",
+ " 22.0 \n",
+ " 50.0 \n",
+ " 40.9 \n",
+ " 56.0 \n",
+ " 1.0 \n",
+ " 1.8 \n",
+ " 2.0 \n",
+ " 0.67 \n",
+ " 13.2 \n",
+ " \n",
+ " \n",
+ " 23 \n",
+ " Ivor Pandur \n",
+ " hr CRO \n",
+ " GK \n",
+ " Hellas Verona \n",
+ " 21 \n",
+ " 2000 \n",
+ " 3.0 \n",
+ " 3.0 \n",
+ " 270.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 33.1 \n",
" 15.0 \n",
- " 7.8 \n",
- " 11.0 \n",
- " 0.69 \n",
+ " 53.3 \n",
+ " 37.1 \n",
+ " 22.0 \n",
+ " 1.0 \n",
+ " 4.5 \n",
+ " 1.0 \n",
+ " 0.33 \n",
+ " 11.3 \n",
+ " \n",
+ " \n",
+ " 24 \n",
+ " Rui Patrício \n",
+ " pt POR \n",
+ " GK \n",
+ " Roma \n",
+ " 33 \n",
+ " 1988 \n",
+ " 38.0 \n",
+ " 38.0 \n",
+ " 3420.0 \n",
+ " 43.0 \n",
+ " ... \n",
+ " 34.2 \n",
+ " 222.0 \n",
+ " 32.0 \n",
+ " 31.5 \n",
+ " 393.0 \n",
+ " 12.0 \n",
+ " 3.1 \n",
+ " 26.0 \n",
+ " 0.68 \n",
+ " 14.3 \n",
+ " \n",
+ " \n",
+ " 25 \n",
+ " Gianluca Pegolo \n",
+ " it ITA \n",
+ " GK \n",
+ " Sassuolo \n",
+ " 40 \n",
+ " 1981 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 3.0 \n",
+ " ... \n",
+ " 26.7 \n",
+ " 8.0 \n",
+ " 12.5 \n",
+ " 19.8 \n",
+ " 8.0 \n",
+ " 1.0 \n",
+ " 12.5 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 6.0 \n",
+ " \n",
+ " \n",
+ " 26 \n",
+ " Mattia Perin \n",
+ " it ITA \n",
+ " GK \n",
+ " Juventus \n",
+ " 28 \n",
+ " 1992 \n",
+ " 5.0 \n",
+ " 5.0 \n",
+ " 405.0 \n",
+ " 7.0 \n",
+ " ... \n",
+ " 29.6 \n",
+ " 26.0 \n",
+ " 23.1 \n",
+ " 29.2 \n",
+ " 77.0 \n",
+ " 1.0 \n",
+ " 1.3 \n",
+ " 4.0 \n",
+ " 0.89 \n",
" 12.6 \n",
" \n",
" \n",
" 27 \n",
- " Daniele Padelli \n",
+ " Carlo Pinsoglio \n",
" it ITA \n",
" GK \n",
- " Inter \n",
- " 34 \n",
- " 1985 \n",
+ " Juventus \n",
+ " 31 \n",
+ " 1990 \n",
" 1.0 \n",
" 0.0 \n",
" 45.0 \n",
" 1.0 \n",
" ... \n",
- " 17.9 \n",
- " 4.0 \n",
- " 0.0 \n",
- " 14.5 \n",
- " 5.0 \n",
- " 0.0 \n",
- " 0.0 \n",
+ " 29.6 \n",
" 1.0 \n",
- " 2.00 \n",
- " 20.0 \n",
+ " 0.0 \n",
+ " 37.0 \n",
+ " 12.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
" \n",
" \n",
" 28 \n",
- " Alberto Paleari \n",
- " it ITA \n",
- " GK \n",
- " Genoa \n",
- " 27 \n",
- " 1992 \n",
- " 3.0 \n",
- " 2.0 \n",
- " 206.0 \n",
- " 3.0 \n",
- " ... \n",
- " 34.6 \n",
- " 19.0 \n",
- " 36.8 \n",
- " 35.7 \n",
- " 33.0 \n",
- " 1.0 \n",
- " 3.0 \n",
- " 2.0 \n",
- " 0.87 \n",
- " 11.1 \n",
- " \n",
- " \n",
- " 29 \n",
- " Ivor Pandur \n",
- " hr CRO \n",
- " GK \n",
- " Hellas Verona \n",
- " 20 \n",
- " 2000 \n",
- " 4.0 \n",
- " 4.0 \n",
- " 332.0 \n",
- " 6.0 \n",
- " ... \n",
- " 34.1 \n",
- " 22.0 \n",
- " 90.9 \n",
- " 61.2 \n",
- " 37.0 \n",
- " 3.0 \n",
- " 8.1 \n",
- " 5.0 \n",
- " 1.36 \n",
- " 16.8 \n",
- " \n",
- " \n",
- " 30 \n",
- " Gianluca Pegolo \n",
- " it ITA \n",
- " GK \n",
- " Sassuolo \n",
- " 39 \n",
- " 1981 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 0.0 \n",
- " ... \n",
- " 19.1 \n",
- " 8.0 \n",
- " 0.0 \n",
- " 14.0 \n",
- " 15.0 \n",
- " 1.0 \n",
- " 6.7 \n",
- " 1.0 \n",
- " 1.00 \n",
- " 15.3 \n",
- " \n",
- " \n",
- " 31 \n",
- " Mattia Perin \n",
- " it ITA \n",
- " GK \n",
- " Genoa \n",
- " 27 \n",
- " 1992 \n",
- " 32.0 \n",
- " 32.0 \n",
- " 2879.0 \n",
- " 44.0 \n",
- " ... \n",
- " 37.1 \n",
- " 275.0 \n",
- " 49.5 \n",
- " 38.4 \n",
- " 540.0 \n",
- " 19.0 \n",
- " 3.5 \n",
- " 18.0 \n",
- " 0.56 \n",
- " 12.6 \n",
- " \n",
- " \n",
- " 32 \n",
- " Carlo Pinsoglio \n",
- " it ITA \n",
- " GK \n",
- " Juventus \n",
- " 30 \n",
- " 1990 \n",
- " 1.0 \n",
- " 0.0 \n",
- " 23.0 \n",
- " 1.0 \n",
- " ... \n",
- " 20.9 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 14.0 \n",
- " 2.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 1.0 \n",
- " 3.91 \n",
- " 28.0 \n",
- " \n",
- " \n",
- " 33 \n",
" Ivan Provedel \n",
" it ITA \n",
" GK \n",
" Spezia \n",
- " 26 \n",
+ " 27 \n",
" 1994 \n",
- " 29.0 \n",
- " 29.0 \n",
- " 2610.0 \n",
- " 55.0 \n",
+ " 31.0 \n",
+ " 31.0 \n",
+ " 2761.0 \n",
+ " 52.0 \n",
" ... \n",
- " 34.2 \n",
- " 157.0 \n",
- " 46.5 \n",
- " 42.0 \n",
- " 298.0 \n",
- " 9.0 \n",
- " 3.0 \n",
- " 46.0 \n",
- " 1.59 \n",
- " 17.2 \n",
+ " 40.1 \n",
+ " 229.0 \n",
+ " 69.4 \n",
+ " 51.7 \n",
+ " 476.0 \n",
+ " 28.0 \n",
+ " 5.9 \n",
+ " 25.0 \n",
+ " 0.81 \n",
+ " 11.8 \n",
" \n",
" \n",
- " 34 \n",
+ " 29 \n",
" Ionuț Radu \n",
" ro ROU \n",
" GK \n",
" Inter \n",
- " 23 \n",
+ " 24 \n",
" 1997 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
" 2.0 \n",
- " 1.0 \n",
- " 135.0 \n",
- " 1.0 \n",
" ... \n",
- " 21.1 \n",
- " 9.0 \n",
- " 0.0 \n",
- " 13.9 \n",
- " 28.0 \n",
+ " 33.3 \n",
+ " 4.0 \n",
+ " 25.0 \n",
+ " 29.8 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 3.0 \n",
- " 2.00 \n",
- " 13.9 \n",
+ " 1.0 \n",
+ " 1.00 \n",
+ " 16.0 \n",
" \n",
" \n",
- " 35 \n",
- " Rafael \n",
- " br BRA \n",
+ " 30 \n",
+ " Boris Radunović \n",
+ " rs SRB \n",
" GK \n",
- " Spezia \n",
- " 38 \n",
- " 1982 \n",
+ " Cagliari \n",
+ " 25 \n",
+ " 1996 \n",
" 3.0 \n",
- " 2.0 \n",
- " 207.0 \n",
+ " 3.0 \n",
+ " 270.0 \n",
" 5.0 \n",
" ... \n",
- " 32.4 \n",
- " 16.0 \n",
- " 25.0 \n",
- " 27.8 \n",
- " 37.0 \n",
+ " 41.5 \n",
+ " 28.0 \n",
+ " 82.1 \n",
+ " 51.1 \n",
+ " 42.0 \n",
" 1.0 \n",
- " 2.7 \n",
- " 2.0 \n",
- " 0.87 \n",
- " 12.6 \n",
+ " 2.4 \n",
+ " 1.0 \n",
+ " 0.33 \n",
+ " 13.8 \n",
" \n",
" \n",
- " 36 \n",
- " Federico Ravaglia \n",
+ " 31 \n",
+ " Nicola Ravaglia \n",
" it ITA \n",
" GK \n",
- " Bologna \n",
- " 20 \n",
- " 1999 \n",
- " 4.0 \n",
- " 4.0 \n",
- " 360.0 \n",
- " 10.0 \n",
+ " Sampdoria \n",
+ " 32 \n",
+ " 1988 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 5.0 \n",
+ " 1.0 \n",
" ... \n",
- " 25.6 \n",
- " 23.0 \n",
- " 17.4 \n",
- " 21.8 \n",
- " 33.0 \n",
+ " 57.0 \n",
+ " 2.0 \n",
+ " 100.0 \n",
+ " 65.5 \n",
+ " 1.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 8.0 \n",
- " 2.00 \n",
- " 26.2 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
" \n",
" \n",
- " 37 \n",
+ " 32 \n",
" Pepe Reina \n",
" es ESP \n",
" GK \n",
" Lazio \n",
- " 37 \n",
+ " 38 \n",
" 1982 \n",
+ " 15.0 \n",
+ " 15.0 \n",
+ " 1350.0 \n",
" 29.0 \n",
- " 29.0 \n",
- " 2610.0 \n",
- " 41.0 \n",
" ... \n",
- " 30.8 \n",
- " 145.0 \n",
- " 22.1 \n",
- " 25.5 \n",
- " 372.0 \n",
- " 9.0 \n",
- " 2.4 \n",
- " 17.0 \n",
- " 0.59 \n",
- " 13.8 \n",
+ " 29.8 \n",
+ " 99.0 \n",
+ " 29.3 \n",
+ " 30.1 \n",
+ " 186.0 \n",
+ " 10.0 \n",
+ " 5.4 \n",
+ " 10.0 \n",
+ " 0.67 \n",
+ " 13.7 \n",
" \n",
" \n",
- " 38 \n",
- " Simone Scuffet \n",
+ " 33 \n",
+ " Sergio Romero \n",
+ " ar ARG \n",
+ " GK \n",
+ " Venezia \n",
+ " 34 \n",
+ " 1987 \n",
+ " 16.0 \n",
+ " 16.0 \n",
+ " 1440.0 \n",
+ " 33.0 \n",
+ " ... \n",
+ " 34.6 \n",
+ " 142.0 \n",
+ " 45.8 \n",
+ " 38.8 \n",
+ " 265.0 \n",
+ " 14.0 \n",
+ " 5.3 \n",
+ " 11.0 \n",
+ " 0.69 \n",
+ " 11.8 \n",
+ " \n",
+ " \n",
+ " 34 \n",
+ " Francesco Rossi \n",
" it ITA \n",
" GK \n",
- " Udinese \n",
- " 24 \n",
- " 1996 \n",
+ " Atalanta \n",
+ " 30 \n",
+ " 1991 \n",
" 1.0 \n",
+ " 0.0 \n",
+ " 37.0 \n",
" 1.0 \n",
- " 90.0 \n",
- " 2.0 \n",
" ... \n",
- " 39.1 \n",
- " 9.0 \n",
- " 77.8 \n",
- " 48.6 \n",
- " 26.0 \n",
+ " 37.8 \n",
+ " 4.0 \n",
+ " 25.0 \n",
+ " 39.3 \n",
+ " 3.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.0 \n",
" 0.00 \n",
- " 5.7 \n",
+ " 18.0 \n",
" \n",
" \n",
- " 39 \n",
+ " 35 \n",
+ " Giacomo Satalino \n",
+ " it ITA \n",
+ " GK \n",
+ " Sassuolo \n",
+ " 22 \n",
+ " 1999 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 8.0 \n",
+ " 0.0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 22.0 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
+ " \n",
+ " \n",
+ " 36 \n",
+ " Adrian Šemper \n",
+ " hr CRO \n",
+ " GK \n",
+ " Genoa \n",
+ " 23 \n",
+ " 1998 \n",
+ " 1.0 \n",
+ " 1.0 \n",
+ " 90.0 \n",
+ " 1.0 \n",
+ " ... \n",
+ " 38.5 \n",
+ " 7.0 \n",
+ " 85.7 \n",
+ " 52.0 \n",
+ " 14.0 \n",
+ " 2.0 \n",
+ " 14.3 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 11.2 \n",
+ " \n",
+ " \n",
+ " 37 \n",
" Luigi Sepe \n",
" it ITA \n",
" GK \n",
- " Parma \n",
- " 29 \n",
+ " Salernitana \n",
+ " 30 \n",
" 1991 \n",
- " 36.0 \n",
- " 36.0 \n",
- " 3240.0 \n",
- " 76.0 \n",
- " ... \n",
- " 34.4 \n",
- " 274.0 \n",
- " 40.1 \n",
- " 36.5 \n",
- " 619.0 \n",
" 16.0 \n",
- " 2.6 \n",
+ " 16.0 \n",
+ " 1392.0 \n",
" 24.0 \n",
- " 0.67 \n",
- " 13.9 \n",
+ " ... \n",
+ " 40.8 \n",
+ " 130.0 \n",
+ " 63.8 \n",
+ " 46.4 \n",
+ " 235.0 \n",
+ " 10.0 \n",
+ " 4.3 \n",
+ " 13.0 \n",
+ " 0.84 \n",
+ " 16.0 \n",
" \n",
" \n",
- " 40 \n",
+ " 38 \n",
" Marco Silvestri \n",
" it ITA \n",
" GK \n",
- " Hellas Verona \n",
- " 29 \n",
+ " Udinese \n",
+ " 30 \n",
" 1991 \n",
- " 34.0 \n",
- " 34.0 \n",
- " 3060.0 \n",
- " 42.0 \n",
+ " 35.0 \n",
+ " 35.0 \n",
+ " 3150.0 \n",
+ " 50.0 \n",
" ... \n",
- " 43.1 \n",
- " 266.0 \n",
- " 89.5 \n",
- " 58.0 \n",
- " 444.0 \n",
- " 9.0 \n",
- " 2.0 \n",
- " 20.0 \n",
- " 0.61 \n",
- " 12.4 \n",
+ " 36.7 \n",
+ " 252.0 \n",
+ " 46.8 \n",
+ " 38.4 \n",
+ " 462.0 \n",
+ " 16.0 \n",
+ " 3.5 \n",
+ " 10.0 \n",
+ " 0.29 \n",
+ " 11.0 \n",
" \n",
" \n",
- " 41 \n",
+ " 39 \n",
" Salvatore Sirigu \n",
" it ITA \n",
" GK \n",
- " Torino \n",
- " 33 \n",
+ " Genoa \n",
+ " 34 \n",
" 1987 \n",
- " 32.0 \n",
- " 32.0 \n",
- " 2880.0 \n",
- " 62.0 \n",
+ " 37.0 \n",
+ " 37.0 \n",
+ " 3330.0 \n",
+ " 59.0 \n",
" ... \n",
- " 33.6 \n",
- " 271.0 \n",
- " 50.6 \n",
- " 37.9 \n",
- " 486.0 \n",
- " 11.0 \n",
- " 2.3 \n",
- " 21.0 \n",
- " 0.66 \n",
- " 14.6 \n",
+ " 36.6 \n",
+ " 263.0 \n",
+ " 68.8 \n",
+ " 45.9 \n",
+ " 476.0 \n",
+ " 14.0 \n",
+ " 2.9 \n",
+ " 20.0 \n",
+ " 0.54 \n",
+ " 12.9 \n",
" \n",
" \n",
- " 42 \n",
+ " 40 \n",
" Łukasz Skorupski \n",
" pl POL \n",
" GK \n",
" Bologna \n",
- " 29 \n",
+ " 30 \n",
" 1991 \n",
- " 28.0 \n",
- " 28.0 \n",
- " 2520.0 \n",
- " 46.0 \n",
+ " 36.0 \n",
+ " 36.0 \n",
+ " 3240.0 \n",
+ " 53.0 \n",
" ... \n",
- " 30.2 \n",
- " 231.0 \n",
- " 24.2 \n",
- " 23.4 \n",
- " 443.0 \n",
- " 23.0 \n",
- " 5.2 \n",
- " 21.0 \n",
- " 0.75 \n",
- " 12.6 \n",
+ " 34.0 \n",
+ " 294.0 \n",
+ " 28.9 \n",
+ " 26.6 \n",
+ " 498.0 \n",
+ " 27.0 \n",
+ " 5.4 \n",
+ " 14.0 \n",
+ " 0.39 \n",
+ " 11.3 \n",
" \n",
" \n",
- " 43 \n",
+ " 41 \n",
" Marco Sportiello \n",
" it ITA \n",
" GK \n",
" Atalanta \n",
- " 28 \n",
+ " 29 \n",
" 1992 \n",
- " 15.0 \n",
- " 13.0 \n",
- " 1261.0 \n",
- " 21.0 \n",
+ " 5.0 \n",
+ " 5.0 \n",
+ " 450.0 \n",
+ " 5.0 \n",
" ... \n",
- " 28.3 \n",
- " 57.0 \n",
- " 59.6 \n",
- " 43.6 \n",
- " 143.0 \n",
- " 8.0 \n",
- " 5.6 \n",
- " 27.0 \n",
- " 1.93 \n",
- " 16.3 \n",
+ " 26.0 \n",
+ " 28.0 \n",
+ " 64.3 \n",
+ " 47.0 \n",
+ " 45.0 \n",
+ " 1.0 \n",
+ " 2.2 \n",
+ " 4.0 \n",
+ " 0.80 \n",
+ " 13.9 \n",
" \n",
" \n",
- " 44 \n",
+ " 42 \n",
" Thomas Strakosha \n",
" al ALB \n",
" GK \n",
" Lazio \n",
- " 25 \n",
+ " 26 \n",
" 1995 \n",
- " 9.0 \n",
- " 9.0 \n",
- " 810.0 \n",
- " 14.0 \n",
+ " 23.0 \n",
+ " 23.0 \n",
+ " 2070.0 \n",
+ " 29.0 \n",
" ... \n",
- " 29.3 \n",
- " 57.0 \n",
- " 8.8 \n",
- " 23.6 \n",
+ " 28.5 \n",
" 119.0 \n",
- " 4.0 \n",
- " 3.4 \n",
- " 5.0 \n",
- " 0.56 \n",
- " 14.2 \n",
+ " 20.2 \n",
+ " 23.6 \n",
+ " 283.0 \n",
+ " 11.0 \n",
+ " 3.9 \n",
+ " 16.0 \n",
+ " 0.70 \n",
+ " 14.5 \n",
" \n",
" \n",
- " 45 \n",
+ " 43 \n",
" Wojciech Szczęsny \n",
" pl POL \n",
" GK \n",
" Juventus \n",
- " 30 \n",
+ " 31 \n",
" 1990 \n",
- " 30.0 \n",
- " 30.0 \n",
- " 2677.0 \n",
- " 32.0 \n",
+ " 33.0 \n",
+ " 33.0 \n",
+ " 2970.0 \n",
+ " 29.0 \n",
" ... \n",
- " 26.5 \n",
- " 179.0 \n",
- " 10.6 \n",
- " 22.0 \n",
- " 399.0 \n",
- " 12.0 \n",
- " 3.0 \n",
- " 37.0 \n",
- " 1.24 \n",
- " 16.2 \n",
+ " 30.8 \n",
+ " 172.0 \n",
+ " 29.7 \n",
+ " 31.5 \n",
+ " 481.0 \n",
+ " 24.0 \n",
+ " 5.0 \n",
+ " 25.0 \n",
+ " 0.76 \n",
+ " 13.5 \n",
" \n",
" \n",
- " 46 \n",
+ " 44 \n",
" Ciprian Tătărușanu \n",
" ro ROU \n",
" GK \n",
" Milan \n",
- " 34 \n",
+ " 35 \n",
" 1986 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 3.0 \n",
+ " 6.0 \n",
+ " 6.0 \n",
+ " 540.0 \n",
+ " 10.0 \n",
" ... \n",
- " 19.7 \n",
- " 4.0 \n",
- " 25.0 \n",
- " 30.3 \n",
- " 12.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 8.0 \n",
+ " 33.3 \n",
+ " 36.0 \n",
+ " 36.1 \n",
+ " 35.0 \n",
+ " 82.0 \n",
+ " 6.0 \n",
+ " 7.3 \n",
+ " 3.0 \n",
+ " 0.50 \n",
+ " 12.5 \n",
" \n",
" \n",
- " 47 \n",
+ " 45 \n",
" Pietro Terracciano \n",
" it ITA \n",
" GK \n",
" Fiorentina \n",
- " 30 \n",
+ " 31 \n",
" 1990 \n",
- " 4.0 \n",
- " 2.0 \n",
- " 272.0 \n",
- " 4.0 \n",
- " ... \n",
- " 45.9 \n",
" 32.0 \n",
- " 93.8 \n",
- " 59.6 \n",
- " 52.0 \n",
- " 2.0 \n",
- " 3.8 \n",
- " 1.0 \n",
- " 0.33 \n",
- " 11.1 \n",
- " \n",
- " \n",
- " 48 \n",
- " Samir Ujkani \n",
- " xk KVX \n",
- " GK \n",
- " Torino \n",
- " 32 \n",
- " 1988 \n",
- " 1.0 \n",
- " 1.0 \n",
- " 90.0 \n",
- " 1.0 \n",
+ " 31.0 \n",
+ " 2862.0 \n",
+ " 43.0 \n",
" ... \n",
- " 30.9 \n",
- " 6.0 \n",
- " 0.0 \n",
- " 26.0 \n",
- " 19.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 11.5 \n",
+ " 32.2 \n",
+ " 170.0 \n",
+ " 35.3 \n",
+ " 33.7 \n",
+ " 291.0 \n",
+ " 22.0 \n",
+ " 7.6 \n",
+ " 51.0 \n",
+ " 1.60 \n",
+ " 16.7 \n",
" \n",
" \n",
- " 49 \n",
+ " 46 \n",
" Guglielmo Vicario \n",
" it ITA \n",
" GK \n",
- " Cagliari \n",
- " 23 \n",
+ " Empoli \n",
+ " 24 \n",
" 1996 \n",
- " 4.0 \n",
- " 4.0 \n",
- " 360.0 \n",
- " 6.0 \n",
+ " 38.0 \n",
+ " 38.0 \n",
+ " 3420.0 \n",
+ " 70.0 \n",
" ... \n",
- " 35.6 \n",
- " 25.0 \n",
- " 88.0 \n",
- " 56.4 \n",
- " 71.0 \n",
- " 1.0 \n",
- " 1.4 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 6.8 \n",
+ " 29.5 \n",
+ " 257.0 \n",
+ " 41.6 \n",
+ " 37.5 \n",
+ " 602.0 \n",
+ " 35.0 \n",
+ " 5.8 \n",
+ " 38.0 \n",
+ " 1.00 \n",
+ " 13.9 \n",
" \n",
" \n",
- " 50 \n",
+ " 47 \n",
" Jeroen Zoet \n",
" nl NED \n",
" GK \n",
" Spezia \n",
- " 29 \n",
+ " 30 \n",
" 1991 \n",
" 7.0 \n",
" 7.0 \n",
- " 603.0 \n",
- " 12.0 \n",
+ " 630.0 \n",
+ " 19.0 \n",
" ... \n",
- " 33.1 \n",
- " 31.0 \n",
- " 38.7 \n",
+ " 30.7 \n",
+ " 54.0 \n",
+ " 37.0 \n",
" 37.4 \n",
- " 72.0 \n",
+ " 95.0 \n",
+ " 2.0 \n",
+ " 2.1 \n",
" 6.0 \n",
- " 8.3 \n",
- " 11.0 \n",
- " 1.64 \n",
- " 17.8 \n",
+ " 0.86 \n",
+ " 16.4 \n",
+ " \n",
+ " \n",
+ " 48 \n",
+ " Petar Zovko \n",
+ " ba BIH \n",
+ " GK \n",
+ " Spezia \n",
+ " 19 \n",
+ " 2002 \n",
+ " 1.0 \n",
+ " 0.0 \n",
+ " 29.0 \n",
+ " 0.0 \n",
+ " ... \n",
+ " 35.9 \n",
+ " 2.0 \n",
+ " 50.0 \n",
+ " 35.0 \n",
+ " 4.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 2.0 \n",
+ " 6.21 \n",
+ " 28.5 \n",
" \n",
" \n",
"\n",
- "51 rows × 47 columns
\n",
+ "49 rows × 47 columns
\n",
""
],
"text/plain": [
" player nationality position team age \\\n",
- "0 Nícolas Andrade br BRA GK Udinese 32 \n",
- "1 Emil Audero it ITA GK Sampdoria 23 \n",
- "2 Alessandro Berardi it ITA GK Hellas Verona 29 \n",
- "3 Gianluigi Buffon it ITA GK Juventus 42 \n",
- "4 Simone Colombi it ITA GK Parma 29 \n",
- "5 Andrea Consigli it ITA GK Sassuolo 33 \n",
- "6 Alex Cordaz it ITA GK Crotone 37 \n",
- "7 Angelo da Costa Júnior br BRA GK Bologna 36 \n",
- "8 Alessio Cragno it ITA GK Cagliari 26 \n",
- "9 Gian Crespi it ITA GK Crotone 19 \n",
- "10 Gianluigi Donnarumma it ITA GK Milan 21 \n",
- "11 Bartłomiej Drągowski pl POL GK Fiorentina 22 \n",
- "12 Marco Festa it ITA GK Crotone 28 \n",
- "13 Daniel Fuzato br BRA GK Roma 23 \n",
- "14 Manuel Gasparini it ITA GK Udinese 18 \n",
- "15 Pierluigi Gollini it ITA GK Atalanta 25 \n",
- "16 Samir Handanović si SVN GK Inter 36 \n",
- "17 Karlo Letica hr CRO GK Sampdoria 23 \n",
- "18 Pau López es ESP GK Roma 25 \n",
- "19 Niccolò Manfredini it ITA GK Benevento 32 \n",
- "20 Federico Marchetti it ITA GK Genoa 37 \n",
- "21 Alex Meret it ITA GK Napoli 23 \n",
- "22 Vanja Milinković-Savić rs SRB GK Torino 23 \n",
- "23 Antonio Mirante it ITA GK Roma 37 \n",
- "24 Lorenzo Montipò it ITA GK Benevento 24 \n",
- "25 Juan Musso ar ARG GK Udinese 26 \n",
- "26 David Ospina co COL GK Napoli 31 \n",
- "27 Daniele Padelli it ITA GK Inter 34 \n",
- "28 Alberto Paleari it ITA GK Genoa 27 \n",
- "29 Ivor Pandur hr CRO GK Hellas Verona 20 \n",
- "30 Gianluca Pegolo it ITA GK Sassuolo 39 \n",
- "31 Mattia Perin it ITA GK Genoa 27 \n",
- "32 Carlo Pinsoglio it ITA GK Juventus 30 \n",
- "33 Ivan Provedel it ITA GK Spezia 26 \n",
- "34 Ionuț Radu ro ROU GK Inter 23 \n",
- "35 Rafael br BRA GK Spezia 38 \n",
- "36 Federico Ravaglia it ITA GK Bologna 20 \n",
- "37 Pepe Reina es ESP GK Lazio 37 \n",
- "38 Simone Scuffet it ITA GK Udinese 24 \n",
- "39 Luigi Sepe it ITA GK Parma 29 \n",
- "40 Marco Silvestri it ITA GK Hellas Verona 29 \n",
- "41 Salvatore Sirigu it ITA GK Torino 33 \n",
- "42 Łukasz Skorupski pl POL GK Bologna 29 \n",
- "43 Marco Sportiello it ITA GK Atalanta 28 \n",
- "44 Thomas Strakosha al ALB GK Lazio 25 \n",
- "45 Wojciech Szczęsny pl POL GK Juventus 30 \n",
- "46 Ciprian Tătărușanu ro ROU GK Milan 34 \n",
- "47 Pietro Terracciano it ITA GK Fiorentina 30 \n",
- "48 Samir Ujkani xk KVX GK Torino 32 \n",
- "49 Guglielmo Vicario it ITA GK Cagliari 23 \n",
- "50 Jeroen Zoet nl NED GK Spezia 29 \n",
+ "0 Emil Audero it ITA GK Sampdoria 24 \n",
+ "1 Nicola Bagnolini it ITA GK Bologna 17 \n",
+ "2 Francesco Bardi it ITA GK Bologna 29 \n",
+ "3 Vid Belec si SVN GK Salernitana 31 \n",
+ "4 Alessandro Berardi it ITA GK Hellas Verona 30 \n",
+ "5 Etrit Berisha al ALB GK Torino 32 \n",
+ "6 Andrea Consigli it ITA GK Sassuolo 34 \n",
+ "7 Alessio Cragno it ITA GK Cagliari 27 \n",
+ "8 Bartłomiej Drągowski pl POL GK Fiorentina 23 \n",
+ "9 Wladimiro Falcone it ITA GK Sampdoria 26 \n",
+ "10 Vincenzo Fiorillo it ITA GK Salernitana 31 \n",
+ "11 Luca Gemello it ITA GK Torino 21 \n",
+ "12 Samir Handanović si SVN GK Inter 37 \n",
+ "13 Luca Lezzerini it ITA GK Venezia 26 \n",
+ "14 Niki Mäenpää fi FIN GK Venezia 36 \n",
+ "15 Mike Maignan fr FRA GK Milan 26 \n",
+ "16 Davide Marfella it ITA GK Napoli 21 \n",
+ "17 Alex Meret it ITA GK Napoli 24 \n",
+ "18 Vanja Milinković-Savić rs SRB GK Torino 24 \n",
+ "19 Lorenzo Montipò it ITA GK Hellas Verona 25 \n",
+ "20 Juan Musso ar ARG GK Atalanta 27 \n",
+ "21 David Ospina co COL GK Napoli 32 \n",
+ "22 Daniele Padelli it ITA GK Udinese 35 \n",
+ "23 Ivor Pandur hr CRO GK Hellas Verona 21 \n",
+ "24 Rui Patrício pt POR GK Roma 33 \n",
+ "25 Gianluca Pegolo it ITA GK Sassuolo 40 \n",
+ "26 Mattia Perin it ITA GK Juventus 28 \n",
+ "27 Carlo Pinsoglio it ITA GK Juventus 31 \n",
+ "28 Ivan Provedel it ITA GK Spezia 27 \n",
+ "29 Ionuț Radu ro ROU GK Inter 24 \n",
+ "30 Boris Radunović rs SRB GK Cagliari 25 \n",
+ "31 Nicola Ravaglia it ITA GK Sampdoria 32 \n",
+ "32 Pepe Reina es ESP GK Lazio 38 \n",
+ "33 Sergio Romero ar ARG GK Venezia 34 \n",
+ "34 Francesco Rossi it ITA GK Atalanta 30 \n",
+ "35 Giacomo Satalino it ITA GK Sassuolo 22 \n",
+ "36 Adrian Šemper hr CRO GK Genoa 23 \n",
+ "37 Luigi Sepe it ITA GK Salernitana 30 \n",
+ "38 Marco Silvestri it ITA GK Udinese 30 \n",
+ "39 Salvatore Sirigu it ITA GK Genoa 34 \n",
+ "40 Łukasz Skorupski pl POL GK Bologna 30 \n",
+ "41 Marco Sportiello it ITA GK Atalanta 29 \n",
+ "42 Thomas Strakosha al ALB GK Lazio 26 \n",
+ "43 Wojciech Szczęsny pl POL GK Juventus 31 \n",
+ "44 Ciprian Tătărușanu ro ROU GK Milan 35 \n",
+ "45 Pietro Terracciano it ITA GK Fiorentina 31 \n",
+ "46 Guglielmo Vicario it ITA GK Empoli 24 \n",
+ "47 Jeroen Zoet nl NED GK Spezia 30 \n",
+ "48 Petar Zovko ba BIH GK Spezia 19 \n",
"\n",
" birth_year gk_games gk_games_starts gk_minutes gk_goals_against ... \\\n",
- "0 1988 2.0 2.0 180.0 5.0 ... \n",
- "1 1997 37.0 37.0 3330.0 54.0 ... \n",
- "2 1991 1.0 0.0 28.0 0.0 ... \n",
- "3 1978 8.0 8.0 720.0 5.0 ... \n",
- "4 1991 2.0 2.0 180.0 7.0 ... \n",
- "5 1987 37.0 37.0 3330.0 56.0 ... \n",
- "6 1983 36.0 36.0 3240.0 91.0 ... \n",
- "7 1983 6.0 6.0 540.0 9.0 ... \n",
- "8 1994 34.0 34.0 3060.0 53.0 ... \n",
- "9 2001 1.0 1.0 90.0 0.0 ... \n",
- "10 1999 37.0 37.0 3330.0 38.0 ... \n",
- "11 1997 36.0 36.0 3148.0 55.0 ... \n",
- "12 1992 1.0 1.0 90.0 1.0 ... \n",
- "13 1997 5.0 5.0 450.0 7.0 ... \n",
- "14 2002 1.0 0.0 3.0 0.0 ... \n",
- "15 1995 25.0 25.0 2156.0 26.0 ... \n",
- "16 1984 37.0 37.0 3240.0 33.0 ... \n",
- "17 1997 1.0 1.0 90.0 0.0 ... \n",
- "18 1994 21.0 20.0 1817.0 29.0 ... \n",
- "19 1988 1.0 1.0 90.0 1.0 ... \n",
- "20 1983 4.0 4.0 334.0 11.0 ... \n",
- "21 1997 22.0 22.0 1980.0 29.0 ... \n",
- "22 1997 5.0 5.0 450.0 6.0 ... \n",
- "23 1983 13.0 13.0 1153.0 19.0 ... \n",
- "24 1996 37.0 37.0 3330.0 74.0 ... \n",
- "25 1994 35.0 35.0 3147.0 51.0 ... \n",
- "26 1988 16.0 16.0 1440.0 12.0 ... \n",
- "27 1985 1.0 0.0 45.0 1.0 ... \n",
- "28 1992 3.0 2.0 206.0 3.0 ... \n",
- "29 2000 4.0 4.0 332.0 6.0 ... \n",
- "30 1981 1.0 1.0 90.0 0.0 ... \n",
- "31 1992 32.0 32.0 2879.0 44.0 ... \n",
- "32 1990 1.0 0.0 23.0 1.0 ... \n",
- "33 1994 29.0 29.0 2610.0 55.0 ... \n",
- "34 1997 2.0 1.0 135.0 1.0 ... \n",
- "35 1982 3.0 2.0 207.0 5.0 ... \n",
- "36 1999 4.0 4.0 360.0 10.0 ... \n",
- "37 1982 29.0 29.0 2610.0 41.0 ... \n",
- "38 1996 1.0 1.0 90.0 2.0 ... \n",
- "39 1991 36.0 36.0 3240.0 76.0 ... \n",
- "40 1991 34.0 34.0 3060.0 42.0 ... \n",
- "41 1987 32.0 32.0 2880.0 62.0 ... \n",
- "42 1991 28.0 28.0 2520.0 46.0 ... \n",
- "43 1992 15.0 13.0 1261.0 21.0 ... \n",
- "44 1995 9.0 9.0 810.0 14.0 ... \n",
- "45 1990 30.0 30.0 2677.0 32.0 ... \n",
- "46 1986 1.0 1.0 90.0 3.0 ... \n",
- "47 1990 4.0 2.0 272.0 4.0 ... \n",
- "48 1988 1.0 1.0 90.0 1.0 ... \n",
- "49 1996 4.0 4.0 360.0 6.0 ... \n",
- "50 1991 7.0 7.0 603.0 12.0 ... \n",
+ "0 1997 29.0 29.0 2560.0 48.0 ... \n",
+ "1 2004 1.0 0.0 3.0 0.0 ... \n",
+ "2 1992 2.0 2.0 177.0 2.0 ... \n",
+ "3 1990 23.0 21.0 1938.0 49.0 ... \n",
+ "4 1991 1.0 1.0 90.0 3.0 ... \n",
+ "5 1989 10.0 10.0 900.0 8.0 ... \n",
+ "6 1987 37.0 37.0 3322.0 63.0 ... \n",
+ "7 1994 35.0 35.0 3150.0 63.0 ... \n",
+ "8 1997 7.0 7.0 556.0 8.0 ... \n",
+ "9 1995 10.0 9.0 855.0 14.0 ... \n",
+ "10 1990 1.0 1.0 90.0 5.0 ... \n",
+ "11 2000 1.0 1.0 90.0 0.0 ... \n",
+ "12 1984 37.0 37.0 3330.0 30.0 ... \n",
+ "13 1995 6.0 6.0 495.0 9.0 ... \n",
+ "14 1985 17.0 16.0 1485.0 27.0 ... \n",
+ "15 1995 32.0 32.0 2880.0 21.0 ... \n",
+ "16 1999 1.0 0.0 11.0 0.0 ... \n",
+ "17 1997 7.0 7.0 619.0 6.0 ... \n",
+ "18 1997 27.0 27.0 2430.0 33.0 ... \n",
+ "19 1996 34.0 34.0 3060.0 50.0 ... \n",
+ "20 1994 33.0 33.0 2932.0 42.0 ... \n",
+ "21 1988 31.0 31.0 2790.0 25.0 ... \n",
+ "22 1985 3.0 3.0 270.0 8.0 ... \n",
+ "23 2000 3.0 3.0 270.0 6.0 ... \n",
+ "24 1988 38.0 38.0 3420.0 43.0 ... \n",
+ "25 1981 1.0 1.0 90.0 3.0 ... \n",
+ "26 1992 5.0 5.0 405.0 7.0 ... \n",
+ "27 1990 1.0 0.0 45.0 1.0 ... \n",
+ "28 1994 31.0 31.0 2761.0 52.0 ... \n",
+ "29 1997 1.0 1.0 90.0 2.0 ... \n",
+ "30 1996 3.0 3.0 270.0 5.0 ... \n",
+ "31 1988 1.0 0.0 5.0 1.0 ... \n",
+ "32 1982 15.0 15.0 1350.0 29.0 ... \n",
+ "33 1987 16.0 16.0 1440.0 33.0 ... \n",
+ "34 1991 1.0 0.0 37.0 1.0 ... \n",
+ "35 1999 1.0 0.0 8.0 0.0 ... \n",
+ "36 1998 1.0 1.0 90.0 1.0 ... \n",
+ "37 1991 16.0 16.0 1392.0 24.0 ... \n",
+ "38 1991 35.0 35.0 3150.0 50.0 ... \n",
+ "39 1987 37.0 37.0 3330.0 59.0 ... \n",
+ "40 1991 36.0 36.0 3240.0 53.0 ... \n",
+ "41 1992 5.0 5.0 450.0 5.0 ... \n",
+ "42 1995 23.0 23.0 2070.0 29.0 ... \n",
+ "43 1990 33.0 33.0 2970.0 29.0 ... \n",
+ "44 1986 6.0 6.0 540.0 10.0 ... \n",
+ "45 1990 32.0 31.0 2862.0 43.0 ... \n",
+ "46 1996 38.0 38.0 3420.0 70.0 ... \n",
+ "47 1991 7.0 7.0 630.0 19.0 ... \n",
+ "48 2002 1.0 0.0 29.0 0.0 ... \n",
"\n",
" gk_passes_length_avg gk_goal_kicks gk_pct_goal_kicks_launched \\\n",
- "0 29.4 9.0 55.6 \n",
- "1 35.0 259.0 64.1 \n",
- "2 43.0 4.0 100.0 \n",
- "3 27.4 61.0 19.7 \n",
- "4 37.5 11.0 72.7 \n",
- "5 27.7 240.0 21.7 \n",
- "6 31.8 306.0 39.9 \n",
- "7 27.6 43.0 23.3 \n",
- "8 33.5 274.0 58.4 \n",
- "9 26.3 11.0 27.3 \n",
- "10 29.0 207.0 41.5 \n",
- "11 37.9 260.0 54.6 \n",
- "12 31.1 10.0 50.0 \n",
- "13 34.1 30.0 36.7 \n",
- "14 44.0 1.0 0.0 \n",
- "15 32.6 116.0 63.8 \n",
- "16 26.7 167.0 26.9 \n",
- "17 25.6 5.0 20.0 \n",
- "18 29.2 101.0 38.6 \n",
- "19 25.6 7.0 42.9 \n",
- "20 24.4 34.0 38.2 \n",
- "21 24.9 93.0 16.1 \n",
- "22 36.1 32.0 53.1 \n",
- "23 30.9 83.0 27.7 \n",
- "24 36.8 271.0 58.3 \n",
- "25 32.9 254.0 41.3 \n",
- "26 28.6 57.0 14.0 \n",
- "27 17.9 4.0 0.0 \n",
- "28 34.6 19.0 36.8 \n",
- "29 34.1 22.0 90.9 \n",
- "30 19.1 8.0 0.0 \n",
- "31 37.1 275.0 49.5 \n",
- "32 20.9 2.0 0.0 \n",
- "33 34.2 157.0 46.5 \n",
- "34 21.1 9.0 0.0 \n",
- "35 32.4 16.0 25.0 \n",
- "36 25.6 23.0 17.4 \n",
- "37 30.8 145.0 22.1 \n",
- "38 39.1 9.0 77.8 \n",
- "39 34.4 274.0 40.1 \n",
- "40 43.1 266.0 89.5 \n",
- "41 33.6 271.0 50.6 \n",
- "42 30.2 231.0 24.2 \n",
- "43 28.3 57.0 59.6 \n",
- "44 29.3 57.0 8.8 \n",
- "45 26.5 179.0 10.6 \n",
- "46 19.7 4.0 25.0 \n",
- "47 45.9 32.0 93.8 \n",
- "48 30.9 6.0 0.0 \n",
- "49 35.6 25.0 88.0 \n",
- "50 33.1 31.0 38.7 \n",
+ "0 36.3 212.0 67.9 \n",
+ "1 61.0 1.0 100.0 \n",
+ "2 33.0 13.0 38.5 \n",
+ "3 39.5 182.0 73.1 \n",
+ "4 39.7 7.0 100.0 \n",
+ "5 39.4 78.0 87.2 \n",
+ "6 30.9 246.0 31.7 \n",
+ "7 39.4 316.0 73.4 \n",
+ "8 30.8 39.0 43.6 \n",
+ "9 33.2 74.0 70.3 \n",
+ "10 36.4 12.0 83.3 \n",
+ "11 47.8 3.0 100.0 \n",
+ "12 28.1 142.0 20.4 \n",
+ "13 30.3 44.0 34.1 \n",
+ "14 36.0 143.0 39.2 \n",
+ "15 33.0 149.0 38.9 \n",
+ "16 15.0 0.0 0.0 \n",
+ "17 25.1 36.0 25.0 \n",
+ "18 44.4 169.0 91.1 \n",
+ "19 42.3 231.0 68.4 \n",
+ "20 31.3 208.0 69.2 \n",
+ "21 28.6 135.0 14.1 \n",
+ "22 29.6 22.0 50.0 \n",
+ "23 33.1 15.0 53.3 \n",
+ "24 34.2 222.0 32.0 \n",
+ "25 26.7 8.0 12.5 \n",
+ "26 29.6 26.0 23.1 \n",
+ "27 29.6 1.0 0.0 \n",
+ "28 40.1 229.0 69.4 \n",
+ "29 33.3 4.0 25.0 \n",
+ "30 41.5 28.0 82.1 \n",
+ "31 57.0 2.0 100.0 \n",
+ "32 29.8 99.0 29.3 \n",
+ "33 34.6 142.0 45.8 \n",
+ "34 37.8 4.0 25.0 \n",
+ "35 0.0 1.0 0.0 \n",
+ "36 38.5 7.0 85.7 \n",
+ "37 40.8 130.0 63.8 \n",
+ "38 36.7 252.0 46.8 \n",
+ "39 36.6 263.0 68.8 \n",
+ "40 34.0 294.0 28.9 \n",
+ "41 26.0 28.0 64.3 \n",
+ "42 28.5 119.0 20.2 \n",
+ "43 30.8 172.0 29.7 \n",
+ "44 33.3 36.0 36.1 \n",
+ "45 32.2 170.0 35.3 \n",
+ "46 29.5 257.0 41.6 \n",
+ "47 30.7 54.0 37.0 \n",
+ "48 35.9 2.0 50.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 43.1 23.0 0.0 \n",
- "1 45.3 563.0 12.0 \n",
- "2 66.5 6.0 0.0 \n",
- "3 25.0 122.0 1.0 \n",
- "4 49.4 27.0 0.0 \n",
- "5 24.1 513.0 26.0 \n",
- "6 33.2 555.0 18.0 \n",
- "7 26.3 86.0 5.0 \n",
- "8 42.0 530.0 19.0 \n",
- "9 28.0 14.0 0.0 \n",
- "10 33.7 556.0 29.0 \n",
- "11 43.6 486.0 24.0 \n",
- "12 36.7 20.0 0.0 \n",
- "13 37.2 50.0 4.0 \n",
- "14 15.0 0.0 0.0 \n",
- "15 49.7 234.0 6.0 \n",
- "16 30.8 441.0 13.0 \n",
- "17 33.6 17.0 0.0 \n",
- "18 35.6 174.0 7.0 \n",
- "19 36.9 19.0 2.0 \n",
- "20 30.4 48.0 1.0 \n",
- "21 23.3 241.0 8.0 \n",
- "22 44.7 64.0 1.0 \n",
- "23 28.6 162.0 1.0 \n",
- "24 43.4 620.0 19.0 \n",
- "25 34.7 484.0 26.0 \n",
- "26 22.9 192.0 15.0 \n",
- "27 14.5 5.0 0.0 \n",
- "28 35.7 33.0 1.0 \n",
- "29 61.2 37.0 3.0 \n",
- "30 14.0 15.0 1.0 \n",
- "31 38.4 540.0 19.0 \n",
- "32 14.0 2.0 0.0 \n",
- "33 42.0 298.0 9.0 \n",
- "34 13.9 28.0 0.0 \n",
- "35 27.8 37.0 1.0 \n",
- "36 21.8 33.0 0.0 \n",
- "37 25.5 372.0 9.0 \n",
- "38 48.6 26.0 0.0 \n",
- "39 36.5 619.0 16.0 \n",
- "40 58.0 444.0 9.0 \n",
- "41 37.9 486.0 11.0 \n",
- "42 23.4 443.0 23.0 \n",
- "43 43.6 143.0 8.0 \n",
- "44 23.6 119.0 4.0 \n",
- "45 22.0 399.0 12.0 \n",
- "46 30.3 12.0 0.0 \n",
- "47 59.6 52.0 2.0 \n",
- "48 26.0 19.0 0.0 \n",
- "49 56.4 71.0 1.0 \n",
- "50 37.4 72.0 6.0 \n",
+ "0 47.6 418.0 22.0 \n",
+ "1 60.0 3.0 0.0 \n",
+ "2 32.1 24.0 2.0 \n",
+ "3 49.9 329.0 12.0 \n",
+ "4 58.7 12.0 0.0 \n",
+ "5 58.6 148.0 7.0 \n",
+ "6 28.8 491.0 21.0 \n",
+ "7 48.2 484.0 22.0 \n",
+ "8 40.2 61.0 2.0 \n",
+ "9 45.0 164.0 7.0 \n",
+ "10 50.8 16.0 0.0 \n",
+ "11 56.3 10.0 0.0 \n",
+ "12 26.5 393.0 15.0 \n",
+ "13 31.0 100.0 2.0 \n",
+ "14 35.4 275.0 6.0 \n",
+ "15 36.5 347.0 25.0 \n",
+ "16 0.0 1.0 0.0 \n",
+ "17 26.5 89.0 3.0 \n",
+ "18 66.3 290.0 18.0 \n",
+ "19 46.5 495.0 21.0 \n",
+ "20 49.7 308.0 28.0 \n",
+ "21 22.5 353.0 18.0 \n",
+ "22 40.9 56.0 1.0 \n",
+ "23 37.1 22.0 1.0 \n",
+ "24 31.5 393.0 12.0 \n",
+ "25 19.8 8.0 1.0 \n",
+ "26 29.2 77.0 1.0 \n",
+ "27 37.0 12.0 0.0 \n",
+ "28 51.7 476.0 28.0 \n",
+ "29 29.8 4.0 0.0 \n",
+ "30 51.1 42.0 1.0 \n",
+ "31 65.5 1.0 0.0 \n",
+ "32 30.1 186.0 10.0 \n",
+ "33 38.8 265.0 14.0 \n",
+ "34 39.3 3.0 0.0 \n",
+ "35 22.0 1.0 0.0 \n",
+ "36 52.0 14.0 2.0 \n",
+ "37 46.4 235.0 10.0 \n",
+ "38 38.4 462.0 16.0 \n",
+ "39 45.9 476.0 14.0 \n",
+ "40 26.6 498.0 27.0 \n",
+ "41 47.0 45.0 1.0 \n",
+ "42 23.6 283.0 11.0 \n",
+ "43 31.5 481.0 24.0 \n",
+ "44 35.0 82.0 6.0 \n",
+ "45 33.7 291.0 22.0 \n",
+ "46 37.5 602.0 35.0 \n",
+ "47 37.4 95.0 2.0 \n",
+ "48 35.0 4.0 0.0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 0.0 0.0 \n",
- "1 2.1 34.0 \n",
- "2 0.0 0.0 \n",
- "3 0.8 9.0 \n",
+ "0 5.3 25.0 \n",
+ "1 0.0 0.0 \n",
+ "2 8.3 0.0 \n",
+ "3 3.6 14.0 \n",
"4 0.0 0.0 \n",
- "5 5.1 34.0 \n",
- "6 3.2 36.0 \n",
- "7 5.8 10.0 \n",
- "8 3.6 22.0 \n",
- "9 0.0 1.0 \n",
- "10 5.2 43.0 \n",
- "11 4.9 27.0 \n",
- "12 0.0 1.0 \n",
- "13 8.0 2.0 \n",
- "14 0.0 0.0 \n",
- "15 2.6 39.0 \n",
- "16 2.9 22.0 \n",
- "17 0.0 1.0 \n",
- "18 4.0 30.0 \n",
- "19 10.5 3.0 \n",
- "20 2.1 6.0 \n",
- "21 3.3 13.0 \n",
- "22 1.6 10.0 \n",
- "23 0.6 23.0 \n",
- "24 3.1 21.0 \n",
- "25 5.4 18.0 \n",
- "26 7.8 11.0 \n",
- "27 0.0 1.0 \n",
- "28 3.0 2.0 \n",
- "29 8.1 5.0 \n",
- "30 6.7 1.0 \n",
- "31 3.5 18.0 \n",
- "32 0.0 1.0 \n",
- "33 3.0 46.0 \n",
- "34 0.0 3.0 \n",
- "35 2.7 2.0 \n",
- "36 0.0 8.0 \n",
- "37 2.4 17.0 \n",
- "38 0.0 0.0 \n",
- "39 2.6 24.0 \n",
- "40 2.0 20.0 \n",
- "41 2.3 21.0 \n",
- "42 5.2 21.0 \n",
- "43 5.6 27.0 \n",
- "44 3.4 5.0 \n",
- "45 3.0 37.0 \n",
- "46 0.0 0.0 \n",
- "47 3.8 1.0 \n",
- "48 0.0 0.0 \n",
- "49 1.4 0.0 \n",
- "50 8.3 11.0 \n",
+ "5 4.7 10.0 \n",
+ "6 4.3 30.0 \n",
+ "7 4.5 33.0 \n",
+ "8 3.3 20.0 \n",
+ "9 4.3 2.0 \n",
+ "10 0.0 0.0 \n",
+ "11 0.0 1.0 \n",
+ "12 3.8 10.0 \n",
+ "13 2.0 3.0 \n",
+ "14 2.2 10.0 \n",
+ "15 7.2 45.0 \n",
+ "16 0.0 0.0 \n",
+ "17 3.4 5.0 \n",
+ "18 6.2 22.0 \n",
+ "19 4.2 23.0 \n",
+ "20 9.1 39.0 \n",
+ "21 5.1 31.0 \n",
+ "22 1.8 2.0 \n",
+ "23 4.5 1.0 \n",
+ "24 3.1 26.0 \n",
+ "25 12.5 0.0 \n",
+ "26 1.3 4.0 \n",
+ "27 0.0 0.0 \n",
+ "28 5.9 25.0 \n",
+ "29 0.0 1.0 \n",
+ "30 2.4 1.0 \n",
+ "31 0.0 0.0 \n",
+ "32 5.4 10.0 \n",
+ "33 5.3 11.0 \n",
+ "34 0.0 0.0 \n",
+ "35 0.0 0.0 \n",
+ "36 14.3 0.0 \n",
+ "37 4.3 13.0 \n",
+ "38 3.5 10.0 \n",
+ "39 2.9 20.0 \n",
+ "40 5.4 14.0 \n",
+ "41 2.2 4.0 \n",
+ "42 3.9 16.0 \n",
+ "43 5.0 25.0 \n",
+ "44 7.3 3.0 \n",
+ "45 7.6 51.0 \n",
+ "46 5.8 38.0 \n",
+ "47 2.1 6.0 \n",
+ "48 0.0 2.0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \n",
- "0 0.00 11.0 \n",
- "1 0.92 14.8 \n",
- "2 0.00 9.0 \n",
- "3 1.13 15.2 \n",
- "4 0.00 7.5 \n",
- "5 0.92 15.1 \n",
- "6 1.00 15.1 \n",
- "7 1.67 15.0 \n",
- "8 0.65 14.2 \n",
- "9 1.00 18.7 \n",
- "10 1.16 14.8 \n",
- "11 0.77 13.3 \n",
- "12 1.00 11.5 \n",
- "13 0.40 11.5 \n",
- "14 0.00 0.0 \n",
- "15 1.63 17.4 \n",
- "16 0.61 14.9 \n",
- "17 1.00 11.0 \n",
- "18 1.49 19.2 \n",
- "19 3.00 13.0 \n",
- "20 1.62 14.5 \n",
- "21 0.59 13.1 \n",
- "22 2.00 19.1 \n",
- "23 1.95 18.3 \n",
- "24 0.57 11.6 \n",
- "25 0.51 13.3 \n",
- "26 0.69 12.6 \n",
- "27 2.00 20.0 \n",
- "28 0.87 11.1 \n",
- "29 1.36 16.8 \n",
- "30 1.00 15.3 \n",
- "31 0.56 12.6 \n",
- "32 3.91 28.0 \n",
- "33 1.59 17.2 \n",
- "34 2.00 13.9 \n",
- "35 0.87 12.6 \n",
- "36 2.00 26.2 \n",
- "37 0.59 13.8 \n",
- "38 0.00 5.7 \n",
- "39 0.67 13.9 \n",
- "40 0.61 12.4 \n",
- "41 0.66 14.6 \n",
- "42 0.75 12.6 \n",
- "43 1.93 16.3 \n",
- "44 0.56 14.2 \n",
- "45 1.24 16.2 \n",
- "46 0.00 8.0 \n",
- "47 0.33 11.1 \n",
- "48 0.00 11.5 \n",
- "49 0.00 6.8 \n",
- "50 1.64 17.8 \n",
+ "0 0.88 13.5 \n",
+ "1 0.00 0.0 \n",
+ "2 0.00 5.5 \n",
+ "3 0.65 12.7 \n",
+ "4 0.00 0.0 \n",
+ "5 1.00 14.6 \n",
+ "6 0.81 13.4 \n",
+ "7 0.94 15.0 \n",
+ "8 3.24 22.3 \n",
+ "9 0.21 10.2 \n",
+ "10 0.00 4.0 \n",
+ "11 1.00 21.0 \n",
+ "12 0.27 11.2 \n",
+ "13 0.55 13.8 \n",
+ "14 0.61 10.8 \n",
+ "15 1.41 16.8 \n",
+ "16 0.00 0.0 \n",
+ "17 0.73 14.6 \n",
+ "18 0.81 14.3 \n",
+ "19 0.68 13.1 \n",
+ "20 1.20 16.5 \n",
+ "21 1.00 17.0 \n",
+ "22 0.67 13.2 \n",
+ "23 0.33 11.3 \n",
+ "24 0.68 14.3 \n",
+ "25 0.00 6.0 \n",
+ "26 0.89 12.6 \n",
+ "27 0.00 0.0 \n",
+ "28 0.81 11.8 \n",
+ "29 1.00 16.0 \n",
+ "30 0.33 13.8 \n",
+ "31 0.00 0.0 \n",
+ "32 0.67 13.7 \n",
+ "33 0.69 11.8 \n",
+ "34 0.00 18.0 \n",
+ "35 0.00 0.0 \n",
+ "36 0.00 11.2 \n",
+ "37 0.84 16.0 \n",
+ "38 0.29 11.0 \n",
+ "39 0.54 12.9 \n",
+ "40 0.39 11.3 \n",
+ "41 0.80 13.9 \n",
+ "42 0.70 14.5 \n",
+ "43 0.76 13.5 \n",
+ "44 0.50 12.5 \n",
+ "45 1.60 16.7 \n",
+ "46 1.00 13.9 \n",
+ "47 0.86 16.4 \n",
+ "48 6.21 28.5 \n",
"\n",
- "[51 rows x 47 columns]"
+ "[49 rows x 47 columns]"
]
},
- "execution_count": 38,
+ "execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
@@ -3356,7 +3297,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 53,
"id": "da977789",
"metadata": {},
"outputs": [
@@ -3407,27 +3348,27 @@
" \n",
" \n",
" 0 \n",
- " 350 \n",
+ " 4312 \n",
" P \n",
- " Donnarumma G. \n",
+ " Maignan \n",
" Milan \n",
- " Donnarumma \n",
- " G \n",
- " 629 \n",
- " 21 \n",
- " 1999 \n",
+ " Maignan \n",
+ " \n",
+ " 647 \n",
+ " 26 \n",
+ " 1995 \n",
" 0 \n",
" ... \n",
- " 29.0 \n",
- " 207 \n",
- " 41.5 \n",
- " 33.7 \n",
- " 556 \n",
- " 29 \n",
- " 5.2 \n",
- " 43 \n",
- " 1.16 \n",
- " 14.8 \n",
+ " 33.0 \n",
+ " 149 \n",
+ " 38.9 \n",
+ " 36.5 \n",
+ " 347 \n",
+ " 25 \n",
+ " 7.2 \n",
+ " 45 \n",
+ " 1.41 \n",
+ " 16.8 \n",
" \n",
" \n",
" 1 \n",
@@ -3437,93 +3378,93 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 664 \n",
- " 30 \n",
+ " 675 \n",
+ " 31 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 26.5 \n",
- " 179 \n",
- " 10.6 \n",
- " 22.0 \n",
- " 399 \n",
- " 12 \n",
- " 3.0 \n",
- " 37 \n",
- " 1.24 \n",
- " 16.2 \n",
+ " 30.8 \n",
+ " 172 \n",
+ " 29.7 \n",
+ " 31.5 \n",
+ " 481 \n",
+ " 24 \n",
+ " 5.0 \n",
+ " 25 \n",
+ " 0.76 \n",
+ " 13.5 \n",
" \n",
" \n",
" 2 \n",
+ " 2468 \n",
+ " P \n",
+ " Ospina \n",
+ " Napoli \n",
+ " Ospina \n",
+ " \n",
+ " 653 \n",
+ " 32 \n",
+ " 1988 \n",
+ " 0 \n",
+ " ... \n",
+ " 28.6 \n",
+ " 135 \n",
+ " 14.1 \n",
+ " 22.5 \n",
+ " 353 \n",
+ " 18 \n",
+ " 5.1 \n",
+ " 31 \n",
+ " 1.00 \n",
+ " 17.0 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 250 \n",
" P \n",
" Handanovic \n",
" Inter \n",
" Handanovic \n",
" \n",
- " 635 \n",
- " 36 \n",
+ " 644 \n",
+ " 37 \n",
" 1984 \n",
" 0 \n",
" ... \n",
- " 26.7 \n",
- " 167 \n",
- " 26.9 \n",
- " 30.8 \n",
- " 441 \n",
- " 13 \n",
- " 2.9 \n",
- " 22 \n",
- " 0.61 \n",
- " 14.9 \n",
- " \n",
- " \n",
- " 3 \n",
- " 610 \n",
- " P \n",
- " Gollini \n",
- " Atalanta \n",
- " Gollini \n",
- " \n",
- " 634 \n",
- " 25 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 32.6 \n",
- " 116 \n",
- " 63.8 \n",
- " 49.7 \n",
- " 234 \n",
- " 6 \n",
- " 2.6 \n",
- " 39 \n",
- " 1.63 \n",
- " 17.4 \n",
+ " 28.1 \n",
+ " 142 \n",
+ " 20.4 \n",
+ " 26.5 \n",
+ " 393 \n",
+ " 15 \n",
+ " 3.8 \n",
+ " 10 \n",
+ " 0.27 \n",
+ " 11.2 \n",
" \n",
" \n",
" 4 \n",
- " 761 \n",
+ " 316 \n",
" P \n",
- " Audero \n",
- " Sampdoria \n",
- " Audero \n",
+ " Berisha \n",
+ " Torino \n",
+ " Berisha \n",
" \n",
- " 620 \n",
- " 23 \n",
- " 1997 \n",
+ " 637 \n",
+ " 32 \n",
+ " 1989 \n",
" 0 \n",
" ... \n",
- " 35.0 \n",
- " 259 \n",
- " 64.1 \n",
- " 45.3 \n",
- " 563 \n",
- " 12 \n",
- " 2.1 \n",
- " 34 \n",
- " 0.92 \n",
- " 14.8 \n",
+ " 39.4 \n",
+ " 78 \n",
+ " 87.2 \n",
+ " 58.6 \n",
+ " 148 \n",
+ " 7 \n",
+ " 4.7 \n",
+ " 10 \n",
+ " 1.00 \n",
+ " 14.6 \n",
" \n",
" \n",
" ... \n",
@@ -3550,16 +3491,64 @@
" ... \n",
" \n",
" \n",
- " 559 \n",
- " 5361 \n",
+ " 545 \n",
+ " 5391 \n",
" A \n",
- " Rabbi \n",
- " Bologna \n",
- " Rabbi \n",
+ " Kokorin \n",
+ " Fiorentina \n",
+ " Kokorin \n",
" \n",
- " 464 \n",
+ " 281 \n",
+ " 30 \n",
+ " 1991 \n",
+ " 6 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
+ " \n",
+ " \n",
+ " 546 \n",
+ " 5458 \n",
+ " A \n",
+ " Munteanu \n",
+ " Fiorentina \n",
+ " Munteanu \n",
+ " \n",
+ " -1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
+ " \n",
+ " \n",
+ " 547 \n",
+ " 5459 \n",
+ " A \n",
+ " Buksa \n",
+ " Genoa \n",
+ " Buksa \n",
+ " \n",
+ " 83 \n",
" 18 \n",
- " 2001 \n",
+ " 2003 \n",
" 4 \n",
" ... \n",
" 0.0 \n",
@@ -3574,65 +3563,17 @@
" 0.0 \n",
" \n",
" \n",
- " 560 \n",
- " 5378 \n",
+ " 548 \n",
+ " 5505 \n",
" A \n",
- " Oddei \n",
- " Sassuolo \n",
- " Oddei \n",
- " \n",
- " 400 \n",
- " 17 \n",
- " 2002 \n",
- " 5 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 561 \n",
- " 5414 \n",
- " A \n",
- " Karamoko Is. \n",
- " Sassuolo \n",
- " Karamoko \n",
- " I \n",
- " 267 \n",
- " 18 \n",
- " 2002 \n",
- " 1 \n",
- " ... \n",
- " 0.0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 562 \n",
- " 5419 \n",
- " A \n",
- " Correia \n",
+ " Kaio Jorge \n",
" Juventus \n",
- " Correia \n",
+ " Jorge \n",
" \n",
- " 113 \n",
+ " 264 \n",
" 19 \n",
- " 2001 \n",
- " 1 \n",
+ " 2002 \n",
+ " 9 \n",
" ... \n",
" 0.0 \n",
" 0 \n",
@@ -3646,17 +3587,17 @@
" 0.0 \n",
" \n",
" \n",
- " 563 \n",
- " 5436 \n",
+ " 549 \n",
+ " 5785 \n",
" A \n",
- " Raimondo \n",
- " Bologna \n",
- " Raimondo \n",
+ " Lazetic \n",
+ " Milan \n",
+ " Lazetic \n",
" \n",
- " 470 \n",
- " 16 \n",
- " 2004 \n",
- " 1 \n",
+ " -1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0 \n",
" ... \n",
" 0.0 \n",
" 0 \n",
@@ -3671,92 +3612,92 @@
" \n",
" \n",
"\n",
- "564 rows × 167 columns
\n",
+ "550 rows × 158 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 350 P Donnarumma G. Milan Donnarumma G 629 21 \n",
- "1 453 P Szczesny Juventus Szczesny 664 30 \n",
- "2 250 P Handanovic Inter Handanovic 635 36 \n",
- "3 610 P Gollini Atalanta Gollini 634 25 \n",
- "4 761 P Audero Sampdoria Audero 620 23 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "559 5361 A Rabbi Bologna Rabbi 464 18 \n",
- "560 5378 A Oddei Sassuolo Oddei 400 17 \n",
- "561 5414 A Karamoko Is. Sassuolo Karamoko I 267 18 \n",
- "562 5419 A Correia Juventus Correia 113 19 \n",
- "563 5436 A Raimondo Bologna Raimondo 470 16 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 4312 P Maignan Milan Maignan 647 26 \n",
+ "1 453 P Szczesny Juventus Szczesny 675 31 \n",
+ "2 2468 P Ospina Napoli Ospina 653 32 \n",
+ "3 250 P Handanovic Inter Handanovic 644 37 \n",
+ "4 316 P Berisha Torino Berisha 637 32 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "545 5391 A Kokorin Fiorentina Kokorin 281 30 \n",
+ "546 5458 A Munteanu Fiorentina Munteanu -1 0 \n",
+ "547 5459 A Buksa Genoa Buksa 83 18 \n",
+ "548 5505 A Kaio Jorge Juventus Jorge 264 19 \n",
+ "549 5785 A Lazetic Milan Lazetic -1 0 \n",
"\n",
" birth_year games ... gk_passes_length_avg gk_goal_kicks \\\n",
- "0 1999 0 ... 29.0 207 \n",
- "1 1990 0 ... 26.5 179 \n",
- "2 1984 0 ... 26.7 167 \n",
- "3 1995 0 ... 32.6 116 \n",
- "4 1997 0 ... 35.0 259 \n",
+ "0 1995 0 ... 33.0 149 \n",
+ "1 1990 0 ... 30.8 172 \n",
+ "2 1988 0 ... 28.6 135 \n",
+ "3 1984 0 ... 28.1 142 \n",
+ "4 1989 0 ... 39.4 78 \n",
".. ... ... ... ... ... \n",
- "559 2001 4 ... 0.0 0 \n",
- "560 2002 5 ... 0.0 0 \n",
- "561 2002 1 ... 0.0 0 \n",
- "562 2001 1 ... 0.0 0 \n",
- "563 2004 1 ... 0.0 0 \n",
+ "545 1991 6 ... 0.0 0 \n",
+ "546 0 0 ... 0.0 0 \n",
+ "547 2003 4 ... 0.0 0 \n",
+ "548 2002 9 ... 0.0 0 \n",
+ "549 0 0 ... 0.0 0 \n",
"\n",
" gk_pct_goal_kicks_launched gk_goal_kick_length_avg gk_crosses \\\n",
- "0 41.5 33.7 556 \n",
- "1 10.6 22.0 399 \n",
- "2 26.9 30.8 441 \n",
- "3 63.8 49.7 234 \n",
- "4 64.1 45.3 563 \n",
+ "0 38.9 36.5 347 \n",
+ "1 29.7 31.5 481 \n",
+ "2 14.1 22.5 353 \n",
+ "3 20.4 26.5 393 \n",
+ "4 87.2 58.6 148 \n",
".. ... ... ... \n",
- "559 0.0 0.0 0 \n",
- "560 0.0 0.0 0 \n",
- "561 0.0 0.0 0 \n",
- "562 0.0 0.0 0 \n",
- "563 0.0 0.0 0 \n",
+ "545 0.0 0.0 0 \n",
+ "546 0.0 0.0 0 \n",
+ "547 0.0 0.0 0 \n",
+ "548 0.0 0.0 0 \n",
+ "549 0.0 0.0 0 \n",
"\n",
" gk_crosses_stopped gk_crosses_stopped_pct \\\n",
- "0 29 5.2 \n",
- "1 12 3.0 \n",
- "2 13 2.9 \n",
- "3 6 2.6 \n",
- "4 12 2.1 \n",
+ "0 25 7.2 \n",
+ "1 24 5.0 \n",
+ "2 18 5.1 \n",
+ "3 15 3.8 \n",
+ "4 7 4.7 \n",
".. ... ... \n",
- "559 0 0.0 \n",
- "560 0 0.0 \n",
- "561 0 0.0 \n",
- "562 0 0.0 \n",
- "563 0 0.0 \n",
+ "545 0 0.0 \n",
+ "546 0 0.0 \n",
+ "547 0 0.0 \n",
+ "548 0 0.0 \n",
+ "549 0 0.0 \n",
"\n",
" gk_def_actions_outside_pen_area gk_def_actions_outside_pen_area_per90 \\\n",
- "0 43 1.16 \n",
- "1 37 1.24 \n",
- "2 22 0.61 \n",
- "3 39 1.63 \n",
- "4 34 0.92 \n",
+ "0 45 1.41 \n",
+ "1 25 0.76 \n",
+ "2 31 1.00 \n",
+ "3 10 0.27 \n",
+ "4 10 1.00 \n",
".. ... ... \n",
- "559 0 0.00 \n",
- "560 0 0.00 \n",
- "561 0 0.00 \n",
- "562 0 0.00 \n",
- "563 0 0.00 \n",
+ "545 0 0.00 \n",
+ "546 0 0.00 \n",
+ "547 0 0.00 \n",
+ "548 0 0.00 \n",
+ "549 0 0.00 \n",
"\n",
" gk_avg_distance_def_actions \n",
- "0 14.8 \n",
- "1 16.2 \n",
- "2 14.9 \n",
- "3 17.4 \n",
- "4 14.8 \n",
+ "0 16.8 \n",
+ "1 13.5 \n",
+ "2 17.0 \n",
+ "3 11.2 \n",
+ "4 14.6 \n",
".. ... \n",
- "559 0.0 \n",
- "560 0.0 \n",
- "561 0.0 \n",
- "562 0.0 \n",
- "563 0.0 \n",
+ "545 0.0 \n",
+ "546 0.0 \n",
+ "547 0.0 \n",
+ "548 0.0 \n",
+ "549 0.0 \n",
"\n",
- "[564 rows x 167 columns]"
+ "[550 rows x 158 columns]"
]
},
- "execution_count": 39,
+ "execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
@@ -3767,7 +3708,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 54,
"id": "5c502f5e",
"metadata": {},
"outputs": [
@@ -3799,28 +3740,28 @@
" \n",
" \n",
" 0 \n",
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- " 0.394909 \n",
+ " 6.265625 \n",
+ " 0.483871 \n",
" \n",
" \n",
" 1 \n",
- " 6.216667 \n",
- " 0.441273 \n",
+ " 6.121212 \n",
+ " 0.628012 \n",
" \n",
" \n",
" 2 \n",
- " 6.027027 \n",
- " 0.505990 \n",
+ " 6.258065 \n",
+ " 0.332899 \n",
" \n",
" \n",
" 3 \n",
- " 6.100000 \n",
- " 0.632456 \n",
+ " 6.162162 \n",
+ " 0.533399 \n",
" \n",
" \n",
" 4 \n",
- " 6.378378 \n",
- " 0.409439 \n",
+ " 6.100000 \n",
+ " 0.700000 \n",
" \n",
" \n",
" ... \n",
@@ -3828,53 +3769,53 @@
" ... \n",
" \n",
" \n",
- " 559 \n",
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- " 0.472755 \n",
+ " 545 \n",
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" \n",
" \n",
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+ " 0.487258 \n",
" \n",
" \n",
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+ " 547 \n",
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" \n",
" \n",
- " 562 \n",
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- " 0.396770 \n",
+ " 548 \n",
+ " 5.949358 \n",
+ " 0.265907 \n",
" \n",
" \n",
- " 563 \n",
- " 6.209072 \n",
- " 0.275318 \n",
+ " 549 \n",
+ " 6.243982 \n",
+ " 0.373505 \n",
" \n",
" \n",
"\n",
- "564 rows × 2 columns
\n",
+ "550 rows × 2 columns
\n",
""
],
"text/plain": [
" vote_avg vote_std\n",
- "0 6.283784 0.394909\n",
- "1 6.216667 0.441273\n",
- "2 6.027027 0.505990\n",
- "3 6.100000 0.632456\n",
- "4 6.378378 0.409439\n",
+ "0 6.265625 0.483871\n",
+ "1 6.121212 0.628012\n",
+ "2 6.258065 0.332899\n",
+ "3 6.162162 0.533399\n",
+ "4 6.100000 0.700000\n",
".. ... ...\n",
- "559 6.027304 0.472755\n",
- "560 6.207968 0.447162\n",
- "561 6.186813 0.444240\n",
- "562 6.600386 0.396770\n",
- "563 6.209072 0.275318\n",
+ "545 6.021546 0.218643\n",
+ "546 6.102453 0.487258\n",
+ "547 6.048102 0.507697\n",
+ "548 5.949358 0.265907\n",
+ "549 6.243982 0.373505\n",
"\n",
- "[564 rows x 2 columns]"
+ "[550 rows x 2 columns]"
]
},
- "execution_count": 40,
+ "execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
@@ -3919,7 +3860,7 @@
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": 55,
"id": "9e1bc63b",
"metadata": {},
"outputs": [
@@ -3970,27 +3911,27 @@
" \n",
" \n",
" 0 \n",
- " 350 \n",
+ " 4312 \n",
" P \n",
- " Donnarumma G. \n",
+ " Maignan \n",
" Milan \n",
- " Donnarumma \n",
- " G \n",
- " 629 \n",
- " 21 \n",
- " 1999 \n",
+ " Maignan \n",
+ " \n",
+ " 647 \n",
+ " 26 \n",
+ " 1995 \n",
" 0 \n",
" ... \n",
- " 41.5 \n",
- " 33.7 \n",
- " 556 \n",
- " 29 \n",
- " 5.2 \n",
- " 43 \n",
- " 1.16 \n",
- " 14.8 \n",
- " 6.283784 \n",
- " 0.394909 \n",
+ " 38.9 \n",
+ " 36.5 \n",
+ " 347 \n",
+ " 25 \n",
+ " 7.2 \n",
+ " 45 \n",
+ " 1.41 \n",
+ " 16.8 \n",
+ " 6.265625 \n",
+ " 0.483871 \n",
" \n",
" \n",
" 1 \n",
@@ -4000,93 +3941,93 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 664 \n",
- " 30 \n",
+ " 675 \n",
+ " 31 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 10.6 \n",
- " 22.0 \n",
- " 399 \n",
- " 12 \n",
- " 3.0 \n",
- " 37 \n",
- " 1.24 \n",
- " 16.2 \n",
- " 6.216667 \n",
- " 0.441273 \n",
+ " 29.7 \n",
+ " 31.5 \n",
+ " 481 \n",
+ " 24 \n",
+ " 5.0 \n",
+ " 25 \n",
+ " 0.76 \n",
+ " 13.5 \n",
+ " 6.121212 \n",
+ " 0.628012 \n",
" \n",
" \n",
" 2 \n",
+ " 2468 \n",
+ " P \n",
+ " Ospina \n",
+ " Napoli \n",
+ " Ospina \n",
+ " \n",
+ " 653 \n",
+ " 32 \n",
+ " 1988 \n",
+ " 0 \n",
+ " ... \n",
+ " 14.1 \n",
+ " 22.5 \n",
+ " 353 \n",
+ " 18 \n",
+ " 5.1 \n",
+ " 31 \n",
+ " 1.00 \n",
+ " 17.0 \n",
+ " 6.258065 \n",
+ " 0.332899 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 250 \n",
" P \n",
" Handanovic \n",
" Inter \n",
" Handanovic \n",
" \n",
- " 635 \n",
- " 36 \n",
+ " 644 \n",
+ " 37 \n",
" 1984 \n",
" 0 \n",
" ... \n",
- " 26.9 \n",
- " 30.8 \n",
- " 441 \n",
- " 13 \n",
- " 2.9 \n",
- " 22 \n",
- " 0.61 \n",
- " 14.9 \n",
- " 6.027027 \n",
- " 0.505990 \n",
- " \n",
- " \n",
- " 3 \n",
- " 610 \n",
- " P \n",
- " Gollini \n",
- " Atalanta \n",
- " Gollini \n",
- " \n",
- " 634 \n",
- " 25 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 63.8 \n",
- " 49.7 \n",
- " 234 \n",
- " 6 \n",
- " 2.6 \n",
- " 39 \n",
- " 1.63 \n",
- " 17.4 \n",
- " 6.100000 \n",
- " 0.632456 \n",
+ " 20.4 \n",
+ " 26.5 \n",
+ " 393 \n",
+ " 15 \n",
+ " 3.8 \n",
+ " 10 \n",
+ " 0.27 \n",
+ " 11.2 \n",
+ " 6.162162 \n",
+ " 0.533399 \n",
" \n",
" \n",
" 4 \n",
- " 761 \n",
+ " 316 \n",
" P \n",
- " Audero \n",
- " Sampdoria \n",
- " Audero \n",
+ " Berisha \n",
+ " Torino \n",
+ " Berisha \n",
" \n",
- " 620 \n",
- " 23 \n",
- " 1997 \n",
+ " 637 \n",
+ " 32 \n",
+ " 1989 \n",
" 0 \n",
" ... \n",
- " 64.1 \n",
- " 45.3 \n",
- " 563 \n",
- " 12 \n",
- " 2.1 \n",
- " 34 \n",
- " 0.92 \n",
- " 14.8 \n",
- " 6.378378 \n",
- " 0.409439 \n",
+ " 87.2 \n",
+ " 58.6 \n",
+ " 148 \n",
+ " 7 \n",
+ " 4.7 \n",
+ " 10 \n",
+ " 1.00 \n",
+ " 14.6 \n",
+ " 6.100000 \n",
+ " 0.700000 \n",
" \n",
" \n",
" ... \n",
@@ -4113,16 +4054,64 @@
" ... \n",
" \n",
" \n",
- " 559 \n",
- " 5361 \n",
+ " 545 \n",
+ " 5391 \n",
" A \n",
- " Rabbi \n",
- " Bologna \n",
- " Rabbi \n",
+ " Kokorin \n",
+ " Fiorentina \n",
+ " Kokorin \n",
" \n",
- " 464 \n",
+ " 281 \n",
+ " 30 \n",
+ " 1991 \n",
+ " 6 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
+ " 6.021546 \n",
+ " 0.218643 \n",
+ " \n",
+ " \n",
+ " 546 \n",
+ " 5458 \n",
+ " A \n",
+ " Munteanu \n",
+ " Fiorentina \n",
+ " Munteanu \n",
+ " \n",
+ " -1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
+ " 6.102453 \n",
+ " 0.487258 \n",
+ " \n",
+ " \n",
+ " 547 \n",
+ " 5459 \n",
+ " A \n",
+ " Buksa \n",
+ " Genoa \n",
+ " Buksa \n",
+ " \n",
+ " 83 \n",
" 18 \n",
- " 2001 \n",
+ " 2003 \n",
" 4 \n",
" ... \n",
" 0.0 \n",
@@ -4133,69 +4122,21 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.027304 \n",
- " 0.472755 \n",
+ " 6.048102 \n",
+ " 0.507697 \n",
" \n",
" \n",
- " 560 \n",
- " 5378 \n",
+ " 548 \n",
+ " 5505 \n",
" A \n",
- " Oddei \n",
- " Sassuolo \n",
- " Oddei \n",
- " \n",
- " 400 \n",
- " 17 \n",
- " 2002 \n",
- " 5 \n",
- " ... \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
- " 6.207968 \n",
- " 0.447162 \n",
- " \n",
- " \n",
- " 561 \n",
- " 5414 \n",
- " A \n",
- " Karamoko Is. \n",
- " Sassuolo \n",
- " Karamoko \n",
- " I \n",
- " 267 \n",
- " 18 \n",
- " 2002 \n",
- " 1 \n",
- " ... \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 0 \n",
- " 0.00 \n",
- " 0.0 \n",
- " 6.186813 \n",
- " 0.444240 \n",
- " \n",
- " \n",
- " 562 \n",
- " 5419 \n",
- " A \n",
- " Correia \n",
+ " Kaio Jorge \n",
" Juventus \n",
- " Correia \n",
+ " Jorge \n",
" \n",
- " 113 \n",
+ " 264 \n",
" 19 \n",
- " 2001 \n",
- " 1 \n",
+ " 2002 \n",
+ " 9 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -4205,21 +4146,21 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.600386 \n",
- " 0.396770 \n",
+ " 5.949358 \n",
+ " 0.265907 \n",
" \n",
" \n",
- " 563 \n",
- " 5436 \n",
+ " 549 \n",
+ " 5785 \n",
" A \n",
- " Raimondo \n",
- " Bologna \n",
- " Raimondo \n",
+ " Lazetic \n",
+ " Milan \n",
+ " Lazetic \n",
" \n",
- " 470 \n",
- " 16 \n",
- " 2004 \n",
- " 1 \n",
+ " -1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -4229,97 +4170,97 @@
" 0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.209072 \n",
- " 0.275318 \n",
+ " 6.243982 \n",
+ " 0.373505 \n",
" \n",
" \n",
"\n",
- "564 rows × 169 columns
\n",
+ "550 rows × 160 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 350 P Donnarumma G. Milan Donnarumma G 629 21 \n",
- "1 453 P Szczesny Juventus Szczesny 664 30 \n",
- "2 250 P Handanovic Inter Handanovic 635 36 \n",
- "3 610 P Gollini Atalanta Gollini 634 25 \n",
- "4 761 P Audero Sampdoria Audero 620 23 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "559 5361 A Rabbi Bologna Rabbi 464 18 \n",
- "560 5378 A Oddei Sassuolo Oddei 400 17 \n",
- "561 5414 A Karamoko Is. Sassuolo Karamoko I 267 18 \n",
- "562 5419 A Correia Juventus Correia 113 19 \n",
- "563 5436 A Raimondo Bologna Raimondo 470 16 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 4312 P Maignan Milan Maignan 647 26 \n",
+ "1 453 P Szczesny Juventus Szczesny 675 31 \n",
+ "2 2468 P Ospina Napoli Ospina 653 32 \n",
+ "3 250 P Handanovic Inter Handanovic 644 37 \n",
+ "4 316 P Berisha Torino Berisha 637 32 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "545 5391 A Kokorin Fiorentina Kokorin 281 30 \n",
+ "546 5458 A Munteanu Fiorentina Munteanu -1 0 \n",
+ "547 5459 A Buksa Genoa Buksa 83 18 \n",
+ "548 5505 A Kaio Jorge Juventus Jorge 264 19 \n",
+ "549 5785 A Lazetic Milan Lazetic -1 0 \n",
"\n",
" birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 1999 0 ... 41.5 \n",
- "1 1990 0 ... 10.6 \n",
- "2 1984 0 ... 26.9 \n",
- "3 1995 0 ... 63.8 \n",
- "4 1997 0 ... 64.1 \n",
+ "0 1995 0 ... 38.9 \n",
+ "1 1990 0 ... 29.7 \n",
+ "2 1988 0 ... 14.1 \n",
+ "3 1984 0 ... 20.4 \n",
+ "4 1989 0 ... 87.2 \n",
".. ... ... ... ... \n",
- "559 2001 4 ... 0.0 \n",
- "560 2002 5 ... 0.0 \n",
- "561 2002 1 ... 0.0 \n",
- "562 2001 1 ... 0.0 \n",
- "563 2004 1 ... 0.0 \n",
+ "545 1991 6 ... 0.0 \n",
+ "546 0 0 ... 0.0 \n",
+ "547 2003 4 ... 0.0 \n",
+ "548 2002 9 ... 0.0 \n",
+ "549 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 33.7 556 29 \n",
- "1 22.0 399 12 \n",
- "2 30.8 441 13 \n",
- "3 49.7 234 6 \n",
- "4 45.3 563 12 \n",
+ "0 36.5 347 25 \n",
+ "1 31.5 481 24 \n",
+ "2 22.5 353 18 \n",
+ "3 26.5 393 15 \n",
+ "4 58.6 148 7 \n",
".. ... ... ... \n",
- "559 0.0 0 0 \n",
- "560 0.0 0 0 \n",
- "561 0.0 0 0 \n",
- "562 0.0 0 0 \n",
- "563 0.0 0 0 \n",
+ "545 0.0 0 0 \n",
+ "546 0.0 0 0 \n",
+ "547 0.0 0 0 \n",
+ "548 0.0 0 0 \n",
+ "549 0.0 0 0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 5.2 43 \n",
- "1 3.0 37 \n",
- "2 2.9 22 \n",
- "3 2.6 39 \n",
- "4 2.1 34 \n",
+ "0 7.2 45 \n",
+ "1 5.0 25 \n",
+ "2 5.1 31 \n",
+ "3 3.8 10 \n",
+ "4 4.7 10 \n",
".. ... ... \n",
- "559 0.0 0 \n",
- "560 0.0 0 \n",
- "561 0.0 0 \n",
- "562 0.0 0 \n",
- "563 0.0 0 \n",
+ "545 0.0 0 \n",
+ "546 0.0 0 \n",
+ "547 0.0 0 \n",
+ "548 0.0 0 \n",
+ "549 0.0 0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.16 14.8 \n",
- "1 1.24 16.2 \n",
- "2 0.61 14.9 \n",
- "3 1.63 17.4 \n",
- "4 0.92 14.8 \n",
+ "0 1.41 16.8 \n",
+ "1 0.76 13.5 \n",
+ "2 1.00 17.0 \n",
+ "3 0.27 11.2 \n",
+ "4 1.00 14.6 \n",
".. ... ... \n",
- "559 0.00 0.0 \n",
- "560 0.00 0.0 \n",
- "561 0.00 0.0 \n",
- "562 0.00 0.0 \n",
- "563 0.00 0.0 \n",
+ "545 0.00 0.0 \n",
+ "546 0.00 0.0 \n",
+ "547 0.00 0.0 \n",
+ "548 0.00 0.0 \n",
+ "549 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
- "0 6.283784 0.394909 \n",
- "1 6.216667 0.441273 \n",
- "2 6.027027 0.505990 \n",
- "3 6.100000 0.632456 \n",
- "4 6.378378 0.409439 \n",
+ "0 6.265625 0.483871 \n",
+ "1 6.121212 0.628012 \n",
+ "2 6.258065 0.332899 \n",
+ "3 6.162162 0.533399 \n",
+ "4 6.100000 0.700000 \n",
".. ... ... \n",
- "559 6.027304 0.472755 \n",
- "560 6.207968 0.447162 \n",
- "561 6.186813 0.444240 \n",
- "562 6.600386 0.396770 \n",
- "563 6.209072 0.275318 \n",
+ "545 6.021546 0.218643 \n",
+ "546 6.102453 0.487258 \n",
+ "547 6.048102 0.507697 \n",
+ "548 5.949358 0.265907 \n",
+ "549 6.243982 0.373505 \n",
"\n",
- "[564 rows x 169 columns]"
+ "[550 rows x 160 columns]"
]
},
- "execution_count": 41,
+ "execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
@@ -4332,7 +4273,7 @@
},
{
"cell_type": "code",
- "execution_count": 42,
+ "execution_count": 56,
"id": "494db0f4",
"metadata": {},
"outputs": [
@@ -4340,48 +4281,41 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Terracciano, 0.6666666666666667\n",
- "Vicario, 0.6666666666666667\n",
- "Radu I., 0.33333333333333337\n",
- "Fuzato, 0.8333333333333334\n",
- "Pandur, 0.6666666666666667\n",
- "Rafael, 0.5\n",
- "Festa, 0.16666666666666663\n",
- "Berardi A., 0.16666666666666663\n",
- "Letica, 0.16666666666666663\n",
- "Crespi, 0.16666666666666663\n",
- "Ujkani, 0.16666666666666663\n",
- "Padelli, 0.16666666666666663\n",
+ "Sportiello, 0.8333333333333334\n",
+ "Bardi, 0.33333333333333337\n",
+ "Padelli, 0.5\n",
"Pinsoglio, 0.16666666666666663\n",
- "Milinkovic-Savic V., 0.8333333333333334\n",
- "Paleari, 0.5\n",
- "Radunovic, 0.0\n",
- "Da Costa, 0.0\n",
- "Tatarusanu, 0.16666666666666663\n",
- "Marchetti, 0.6666666666666667\n",
- "Colombi, 0.33333333333333337\n",
+ "Semper, 0.16666666666666663\n",
+ "Zovko, 0.16666666666666663\n",
+ "Radunovic, 0.5\n",
+ "Perin, 0.8333333333333334\n",
+ "Mirante, 0.0\n",
+ "Ujkani, 0.0\n",
+ "Marchetti, 0.0\n",
"Pegolo, 0.16666666666666663\n",
- "Scuffet, 0.16666666666666663\n",
- "Zima L., 0.0\n",
+ "Radu I., 0.16666666666666663\n",
+ "Cordaz, 0.0\n",
"Aresti, 0.0\n",
- "Rossi F., 0.0\n",
- "Ravaglia F., 0.6666666666666667\n",
+ "Fiorillo, 0.16666666666666663\n",
+ "Satalino, 0.16666666666666663\n",
+ "Santurro, 0.0\n",
+ "Rossi F., 0.16666666666666663\n",
+ "Fuzato, 0.0\n",
"Rosati, 0.0\n",
- "Contini, 0.0\n",
- "Brancolini, 0.0\n",
- "Avogadri, 0.0\n",
- "Turati, 0.0\n",
- "Breza, 0.0\n",
- "Ciocci, 0.0\n",
- "Gori P., 0.0\n",
- "Manfredini, 0.16666666666666663\n",
- "Ravaglia, 0.0\n",
- "Krapikas, 0.0\n",
+ "Berardi A., 0.16666666666666663\n",
+ "Gemello, 0.16666666666666663\n",
+ "Ravaglia, 0.16666666666666663\n",
+ "Pandur, 0.5\n",
"Boer, 0.0\n",
- "Alia, 0.0\n",
- "Gasparini, 0.16666666666666663\n",
- "Rinaldi, 0.0\n",
- "Farelli, 0.0\n"
+ "Gasparini, 0.0\n",
+ "Furlan, 0.0\n",
+ "Adamonis, 0.0\n",
+ "Marfella, 0.16666666666666663\n",
+ "Bertinato, 0.0\n",
+ "Molla, 0.0\n",
+ "Russo, 0.0\n",
+ "Piana, 0.0\n",
+ "Neri, 0.0\n"
]
}
],
@@ -4410,7 +4344,7 @@
},
{
"cell_type": "code",
- "execution_count": 43,
+ "execution_count": 57,
"id": "3d4eec07",
"metadata": {},
"outputs": [
@@ -4461,27 +4395,27 @@
" \n",
" \n",
" 0 \n",
- " 350 \n",
+ " 4312 \n",
" P \n",
- " Donnarumma G. \n",
+ " Maignan \n",
" Milan \n",
- " Donnarumma \n",
- " G \n",
- " 629 \n",
- " 21 \n",
- " 1999 \n",
+ " Maignan \n",
+ " \n",
+ " 647 \n",
+ " 26 \n",
+ " 1995 \n",
" 0 \n",
" ... \n",
- " 41.5 \n",
- " 33.7 \n",
- " 556.0 \n",
- " 29.0 \n",
- " 5.2 \n",
- " 43.0 \n",
- " 1.16 \n",
- " 14.8 \n",
- " 6.283784 \n",
- " 0.394909 \n",
+ " 38.9 \n",
+ " 36.5 \n",
+ " 347.0 \n",
+ " 25.0 \n",
+ " 7.2 \n",
+ " 45.0 \n",
+ " 1.41 \n",
+ " 16.8 \n",
+ " 6.265625 \n",
+ " 0.483871 \n",
" \n",
" \n",
" 1 \n",
@@ -4491,93 +4425,93 @@
" Juventus \n",
" Szczesny \n",
" \n",
- " 664 \n",
- " 30 \n",
+ " 675 \n",
+ " 31 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 10.6 \n",
- " 22.0 \n",
- " 399.0 \n",
- " 12.0 \n",
- " 3.0 \n",
- " 37.0 \n",
- " 1.24 \n",
- " 16.2 \n",
- " 6.216667 \n",
- " 0.441273 \n",
+ " 29.7 \n",
+ " 31.5 \n",
+ " 481.0 \n",
+ " 24.0 \n",
+ " 5.0 \n",
+ " 25.0 \n",
+ " 0.76 \n",
+ " 13.5 \n",
+ " 6.121212 \n",
+ " 0.628012 \n",
" \n",
" \n",
" 2 \n",
+ " 2468 \n",
+ " P \n",
+ " Ospina \n",
+ " Napoli \n",
+ " Ospina \n",
+ " \n",
+ " 653 \n",
+ " 32 \n",
+ " 1988 \n",
+ " 0 \n",
+ " ... \n",
+ " 14.1 \n",
+ " 22.5 \n",
+ " 353.0 \n",
+ " 18.0 \n",
+ " 5.1 \n",
+ " 31.0 \n",
+ " 1.00 \n",
+ " 17.0 \n",
+ " 6.258065 \n",
+ " 0.332899 \n",
+ " \n",
+ " \n",
+ " 3 \n",
" 250 \n",
" P \n",
" Handanovic \n",
" Inter \n",
" Handanovic \n",
" \n",
- " 635 \n",
- " 36 \n",
+ " 644 \n",
+ " 37 \n",
" 1984 \n",
" 0 \n",
" ... \n",
- " 26.9 \n",
- " 30.8 \n",
- " 441.0 \n",
- " 13.0 \n",
- " 2.9 \n",
- " 22.0 \n",
- " 0.61 \n",
- " 14.9 \n",
- " 6.027027 \n",
- " 0.505990 \n",
- " \n",
- " \n",
- " 3 \n",
- " 610 \n",
- " P \n",
- " Gollini \n",
- " Atalanta \n",
- " Gollini \n",
- " \n",
- " 634 \n",
- " 25 \n",
- " 1995 \n",
- " 0 \n",
- " ... \n",
- " 63.8 \n",
- " 49.7 \n",
- " 234.0 \n",
- " 6.0 \n",
- " 2.6 \n",
- " 39.0 \n",
- " 1.63 \n",
- " 17.4 \n",
- " 6.100000 \n",
- " 0.632456 \n",
+ " 20.4 \n",
+ " 26.5 \n",
+ " 393.0 \n",
+ " 15.0 \n",
+ " 3.8 \n",
+ " 10.0 \n",
+ " 0.27 \n",
+ " 11.2 \n",
+ " 6.162162 \n",
+ " 0.533399 \n",
" \n",
" \n",
" 4 \n",
- " 761 \n",
+ " 316 \n",
" P \n",
- " Audero \n",
- " Sampdoria \n",
- " Audero \n",
+ " Berisha \n",
+ " Torino \n",
+ " Berisha \n",
" \n",
- " 620 \n",
- " 23 \n",
- " 1997 \n",
+ " 637 \n",
+ " 32 \n",
+ " 1989 \n",
" 0 \n",
" ... \n",
- " 64.1 \n",
- " 45.3 \n",
- " 563.0 \n",
- " 12.0 \n",
- " 2.1 \n",
- " 34.0 \n",
- " 0.92 \n",
- " 14.8 \n",
- " 6.378378 \n",
- " 0.409439 \n",
+ " 87.2 \n",
+ " 58.6 \n",
+ " 148.0 \n",
+ " 7.0 \n",
+ " 4.7 \n",
+ " 10.0 \n",
+ " 1.00 \n",
+ " 14.6 \n",
+ " 6.100000 \n",
+ " 0.700000 \n",
" \n",
" \n",
" ... \n",
@@ -4604,16 +4538,64 @@
" ... \n",
" \n",
" \n",
- " 559 \n",
- " 5361 \n",
+ " 545 \n",
+ " 5391 \n",
" A \n",
- " Rabbi \n",
- " Bologna \n",
- " Rabbi \n",
+ " Kokorin \n",
+ " Fiorentina \n",
+ " Kokorin \n",
" \n",
- " 464 \n",
+ " 281 \n",
+ " 30 \n",
+ " 1991 \n",
+ " 6 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
+ " 6.021546 \n",
+ " 0.218643 \n",
+ " \n",
+ " \n",
+ " 546 \n",
+ " 5458 \n",
+ " A \n",
+ " Munteanu \n",
+ " Fiorentina \n",
+ " Munteanu \n",
+ " \n",
+ " -1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0 \n",
+ " ... \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.0 \n",
+ " 0.00 \n",
+ " 0.0 \n",
+ " 6.102453 \n",
+ " 0.487258 \n",
+ " \n",
+ " \n",
+ " 547 \n",
+ " 5459 \n",
+ " A \n",
+ " Buksa \n",
+ " Genoa \n",
+ " Buksa \n",
+ " \n",
+ " 83 \n",
" 18 \n",
- " 2001 \n",
+ " 2003 \n",
" 4 \n",
" ... \n",
" 0.0 \n",
@@ -4624,69 +4606,21 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.027304 \n",
- " 0.472755 \n",
+ " 6.048102 \n",
+ " 0.507697 \n",
" \n",
" \n",
- " 560 \n",
- " 5378 \n",
+ " 548 \n",
+ " 5505 \n",
" A \n",
- " Oddei \n",
- " Sassuolo \n",
- " Oddei \n",
- " \n",
- " 400 \n",
- " 17 \n",
- " 2002 \n",
- " 5 \n",
- " ... \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 0.0 \n",
- " 6.207968 \n",
- " 0.447162 \n",
- " \n",
- " \n",
- " 561 \n",
- " 5414 \n",
- " A \n",
- " Karamoko Is. \n",
- " Sassuolo \n",
- " Karamoko \n",
- " I \n",
- " 267 \n",
- " 18 \n",
- " 2002 \n",
- " 1 \n",
- " ... \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " 0.00 \n",
- " 0.0 \n",
- " 6.186813 \n",
- " 0.444240 \n",
- " \n",
- " \n",
- " 562 \n",
- " 5419 \n",
- " A \n",
- " Correia \n",
+ " Kaio Jorge \n",
" Juventus \n",
- " Correia \n",
+ " Jorge \n",
" \n",
- " 113 \n",
+ " 264 \n",
" 19 \n",
- " 2001 \n",
- " 1 \n",
+ " 2002 \n",
+ " 9 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -4696,21 +4630,21 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.600386 \n",
- " 0.396770 \n",
+ " 5.949358 \n",
+ " 0.265907 \n",
" \n",
" \n",
- " 563 \n",
- " 5436 \n",
+ " 549 \n",
+ " 5785 \n",
" A \n",
- " Raimondo \n",
- " Bologna \n",
- " Raimondo \n",
+ " Lazetic \n",
+ " Milan \n",
+ " Lazetic \n",
" \n",
- " 470 \n",
- " 16 \n",
- " 2004 \n",
- " 1 \n",
+ " -1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -4720,97 +4654,97 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.209072 \n",
- " 0.275318 \n",
+ " 6.243982 \n",
+ " 0.373505 \n",
" \n",
" \n",
"\n",
- "564 rows × 169 columns
\n",
+ "550 rows × 160 columns
\n",
""
],
"text/plain": [
- " id r name team surname initial fb_ID age \\\n",
- "0 350 P Donnarumma G. Milan Donnarumma G 629 21 \n",
- "1 453 P Szczesny Juventus Szczesny 664 30 \n",
- "2 250 P Handanovic Inter Handanovic 635 36 \n",
- "3 610 P Gollini Atalanta Gollini 634 25 \n",
- "4 761 P Audero Sampdoria Audero 620 23 \n",
- ".. ... .. ... ... ... ... ... ... \n",
- "559 5361 A Rabbi Bologna Rabbi 464 18 \n",
- "560 5378 A Oddei Sassuolo Oddei 400 17 \n",
- "561 5414 A Karamoko Is. Sassuolo Karamoko I 267 18 \n",
- "562 5419 A Correia Juventus Correia 113 19 \n",
- "563 5436 A Raimondo Bologna Raimondo 470 16 \n",
+ " id r name team surname initial fb_ID age \\\n",
+ "0 4312 P Maignan Milan Maignan 647 26 \n",
+ "1 453 P Szczesny Juventus Szczesny 675 31 \n",
+ "2 2468 P Ospina Napoli Ospina 653 32 \n",
+ "3 250 P Handanovic Inter Handanovic 644 37 \n",
+ "4 316 P Berisha Torino Berisha 637 32 \n",
+ ".. ... .. ... ... ... ... ... ... \n",
+ "545 5391 A Kokorin Fiorentina Kokorin 281 30 \n",
+ "546 5458 A Munteanu Fiorentina Munteanu -1 0 \n",
+ "547 5459 A Buksa Genoa Buksa 83 18 \n",
+ "548 5505 A Kaio Jorge Juventus Jorge 264 19 \n",
+ "549 5785 A Lazetic Milan Lazetic -1 0 \n",
"\n",
" birth_year games ... gk_pct_goal_kicks_launched \\\n",
- "0 1999 0 ... 41.5 \n",
- "1 1990 0 ... 10.6 \n",
- "2 1984 0 ... 26.9 \n",
- "3 1995 0 ... 63.8 \n",
- "4 1997 0 ... 64.1 \n",
+ "0 1995 0 ... 38.9 \n",
+ "1 1990 0 ... 29.7 \n",
+ "2 1988 0 ... 14.1 \n",
+ "3 1984 0 ... 20.4 \n",
+ "4 1989 0 ... 87.2 \n",
".. ... ... ... ... \n",
- "559 2001 4 ... 0.0 \n",
- "560 2002 5 ... 0.0 \n",
- "561 2002 1 ... 0.0 \n",
- "562 2001 1 ... 0.0 \n",
- "563 2004 1 ... 0.0 \n",
+ "545 1991 6 ... 0.0 \n",
+ "546 0 0 ... 0.0 \n",
+ "547 2003 4 ... 0.0 \n",
+ "548 2002 9 ... 0.0 \n",
+ "549 0 0 ... 0.0 \n",
"\n",
" gk_goal_kick_length_avg gk_crosses gk_crosses_stopped \\\n",
- "0 33.7 556.0 29.0 \n",
- "1 22.0 399.0 12.0 \n",
- "2 30.8 441.0 13.0 \n",
- "3 49.7 234.0 6.0 \n",
- "4 45.3 563.0 12.0 \n",
+ "0 36.5 347.0 25.0 \n",
+ "1 31.5 481.0 24.0 \n",
+ "2 22.5 353.0 18.0 \n",
+ "3 26.5 393.0 15.0 \n",
+ "4 58.6 148.0 7.0 \n",
".. ... ... ... \n",
- "559 0.0 0.0 0.0 \n",
- "560 0.0 0.0 0.0 \n",
- "561 0.0 0.0 0.0 \n",
- "562 0.0 0.0 0.0 \n",
- "563 0.0 0.0 0.0 \n",
+ "545 0.0 0.0 0.0 \n",
+ "546 0.0 0.0 0.0 \n",
+ "547 0.0 0.0 0.0 \n",
+ "548 0.0 0.0 0.0 \n",
+ "549 0.0 0.0 0.0 \n",
"\n",
" gk_crosses_stopped_pct gk_def_actions_outside_pen_area \\\n",
- "0 5.2 43.0 \n",
- "1 3.0 37.0 \n",
- "2 2.9 22.0 \n",
- "3 2.6 39.0 \n",
- "4 2.1 34.0 \n",
+ "0 7.2 45.0 \n",
+ "1 5.0 25.0 \n",
+ "2 5.1 31.0 \n",
+ "3 3.8 10.0 \n",
+ "4 4.7 10.0 \n",
".. ... ... \n",
- "559 0.0 0.0 \n",
- "560 0.0 0.0 \n",
- "561 0.0 0.0 \n",
- "562 0.0 0.0 \n",
- "563 0.0 0.0 \n",
+ "545 0.0 0.0 \n",
+ "546 0.0 0.0 \n",
+ "547 0.0 0.0 \n",
+ "548 0.0 0.0 \n",
+ "549 0.0 0.0 \n",
"\n",
" gk_def_actions_outside_pen_area_per90 gk_avg_distance_def_actions \\\n",
- "0 1.16 14.8 \n",
- "1 1.24 16.2 \n",
- "2 0.61 14.9 \n",
- "3 1.63 17.4 \n",
- "4 0.92 14.8 \n",
+ "0 1.41 16.8 \n",
+ "1 0.76 13.5 \n",
+ "2 1.00 17.0 \n",
+ "3 0.27 11.2 \n",
+ "4 1.00 14.6 \n",
".. ... ... \n",
- "559 0.00 0.0 \n",
- "560 0.00 0.0 \n",
- "561 0.00 0.0 \n",
- "562 0.00 0.0 \n",
- "563 0.00 0.0 \n",
+ "545 0.00 0.0 \n",
+ "546 0.00 0.0 \n",
+ "547 0.00 0.0 \n",
+ "548 0.00 0.0 \n",
+ "549 0.00 0.0 \n",
"\n",
" vote_avg vote_std \n",
- "0 6.283784 0.394909 \n",
- "1 6.216667 0.441273 \n",
- "2 6.027027 0.505990 \n",
- "3 6.100000 0.632456 \n",
- "4 6.378378 0.409439 \n",
+ "0 6.265625 0.483871 \n",
+ "1 6.121212 0.628012 \n",
+ "2 6.258065 0.332899 \n",
+ "3 6.162162 0.533399 \n",
+ "4 6.100000 0.700000 \n",
".. ... ... \n",
- "559 6.027304 0.472755 \n",
- "560 6.207968 0.447162 \n",
- "561 6.186813 0.444240 \n",
- "562 6.600386 0.396770 \n",
- "563 6.209072 0.275318 \n",
+ "545 6.021546 0.218643 \n",
+ "546 6.102453 0.487258 \n",
+ "547 6.048102 0.507697 \n",
+ "548 5.949358 0.265907 \n",
+ "549 6.243982 0.373505 \n",
"\n",
- "[564 rows x 169 columns]"
+ "[550 rows x 160 columns]"
]
},
- "execution_count": 43,
+ "execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
@@ -4823,7 +4757,7 @@
},
{
"cell_type": "code",
- "execution_count": 44,
+ "execution_count": 58,
"id": "8336c025",
"metadata": {},
"outputs": [],
diff --git a/4_player_match_dataset_creation.ipynb b/4_player_match_dataset_creation.ipynb
index b3536f3..ef992e4 100644
--- a/4_player_match_dataset_creation.ipynb
+++ b/4_player_match_dataset_creation.ipynb
@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 21,
"id": "3ecf3676",
"metadata": {},
"outputs": [],
@@ -32,7 +32,7 @@
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 22,
"id": "8a6867a5",
"metadata": {},
"outputs": [
@@ -40,7 +40,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5880\\552672520.py:19: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5304\\552672520.py:19: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -120,595 +120,595 @@
" Atalanta \n",
" Atalanta \n",
" 24.0 \n",
- " 49.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 49.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 38.0 \n",
" 27.0 \n",
" 6.0 \n",
" 8.0 \n",
" ... \n",
- " 220.0 \n",
" 232.0 \n",
+ " 244.0 \n",
" 26.0 \n",
" 1.0 \n",
" 8.0 \n",
" 1.0 \n",
- " 1214.0 \n",
- " 248.0 \n",
- " 303.0 \n",
- " 45.0 \n",
+ " 1261.0 \n",
+ " 260.0 \n",
+ " 317.0 \n",
+ " 45.1 \n",
" \n",
" \n",
" Bologna \n",
" Bologna \n",
- " 24.0 \n",
- " 52.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
" 25.0 \n",
- " 19.0 \n",
- " 3.0 \n",
- " 3.0 \n",
+ " 51.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 27.0 \n",
+ " 20.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
" ... \n",
- " 252.0 \n",
- " 229.0 \n",
- " 33.0 \n",
- " 3.0 \n",
+ " 262.0 \n",
+ " 254.0 \n",
+ " 36.0 \n",
" 3.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 1081.0 \n",
- " 224.0 \n",
- " 180.0 \n",
- " 55.4 \n",
+ " 1145.0 \n",
+ " 239.0 \n",
+ " 193.0 \n",
+ " 55.3 \n",
" \n",
" \n",
" Cremonese \n",
" Cremonese \n",
- " 29.0 \n",
- " 43.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 30.0 \n",
+ " 44.2 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 7.0 \n",
" 2.0 \n",
" 4.0 \n",
" ... \n",
- " 217.0 \n",
- " 254.0 \n",
- " 32.0 \n",
+ " 232.0 \n",
+ " 264.0 \n",
+ " 33.0 \n",
" 3.0 \n",
" 4.0 \n",
" 0.0 \n",
- " 1106.0 \n",
- " 367.0 \n",
- " 273.0 \n",
- " 57.3 \n",
+ " 1168.0 \n",
+ " 388.0 \n",
+ " 296.0 \n",
+ " 56.7 \n",
" \n",
" \n",
" Empoli \n",
" Empoli \n",
- " 26.0 \n",
- " 46.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 27.0 \n",
+ " 46.8 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 19.0 \n",
" 11.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 260.0 \n",
- " 226.0 \n",
- " 32.0 \n",
+ " 270.0 \n",
+ " 244.0 \n",
+ " 35.0 \n",
" 2.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 1062.0 \n",
- " 231.0 \n",
- " 203.0 \n",
- " 53.2 \n",
+ " 1104.0 \n",
+ " 242.0 \n",
+ " 211.0 \n",
+ " 53.4 \n",
" \n",
" \n",
" Fiorentina \n",
" Fiorentina \n",
- " 27.0 \n",
- " 57.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 22.0 \n",
- " 17.0 \n",
+ " 28.0 \n",
+ " 57.3 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 23.0 \n",
+ " 18.0 \n",
" 2.0 \n",
" 4.0 \n",
" ... \n",
- " 271.0 \n",
- " 243.0 \n",
- " 53.0 \n",
+ " 296.0 \n",
+ " 252.0 \n",
+ " 54.0 \n",
" 1.0 \n",
" 4.0 \n",
" 0.0 \n",
- " 1005.0 \n",
- " 261.0 \n",
- " 302.0 \n",
+ " 1061.0 \n",
+ " 274.0 \n",
+ " 317.0 \n",
" 46.4 \n",
" \n",
" \n",
" Verona \n",
" Hellas Verona \n",
- " 32.0 \n",
- " 43.5 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 16.0 \n",
- " 13.0 \n",
+ " 34.0 \n",
+ " 43.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 17.0 \n",
+ " 14.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 201.0 \n",
- " 286.0 \n",
- " 22.0 \n",
+ " 213.0 \n",
+ " 302.0 \n",
+ " 24.0 \n",
" 1.0 \n",
" 0.0 \n",
" 2.0 \n",
- " 1096.0 \n",
- " 362.0 \n",
- " 411.0 \n",
- " 46.8 \n",
+ " 1173.0 \n",
+ " 385.0 \n",
+ " 422.0 \n",
+ " 47.7 \n",
" \n",
" \n",
" Inter \n",
" Inter \n",
" 23.0 \n",
- " 53.6 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 39.0 \n",
- " 26.0 \n",
+ " 54.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 40.0 \n",
+ " 27.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 249.0 \n",
- " 224.0 \n",
- " 18.0 \n",
+ " 263.0 \n",
+ " 237.0 \n",
+ " 19.0 \n",
" 2.0 \n",
" 2.0 \n",
" 1.0 \n",
- " 914.0 \n",
- " 204.0 \n",
- " 251.0 \n",
- " 44.8 \n",
+ " 960.0 \n",
+ " 221.0 \n",
+ " 266.0 \n",
+ " 45.4 \n",
" \n",
" \n",
" Juventus \n",
" Juventus \n",
" 26.0 \n",
- " 49.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 30.0 \n",
- " 23.0 \n",
- " 2.0 \n",
+ " 49.2 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 33.0 \n",
+ " 25.0 \n",
" 3.0 \n",
+ " 4.0 \n",
" ... \n",
- " 220.0 \n",
- " 221.0 \n",
+ " 229.0 \n",
+ " 232.0 \n",
" 27.0 \n",
" 0.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 0.0 \n",
- " 1007.0 \n",
- " 240.0 \n",
+ " 1064.0 \n",
" 247.0 \n",
- " 49.3 \n",
+ " 257.0 \n",
+ " 49.0 \n",
" \n",
" \n",
" Lazio \n",
" Lazio \n",
" 21.0 \n",
- " 50.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 35.0 \n",
- " 25.0 \n",
+ " 51.4 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 36.0 \n",
+ " 26.0 \n",
" 3.0 \n",
" 4.0 \n",
" ... \n",
- " 278.0 \n",
- " 196.0 \n",
+ " 294.0 \n",
+ " 206.0 \n",
" 44.0 \n",
" 1.0 \n",
" 4.0 \n",
" 1.0 \n",
- " 1085.0 \n",
- " 196.0 \n",
- " 193.0 \n",
- " 50.4 \n",
+ " 1157.0 \n",
+ " 207.0 \n",
+ " 216.0 \n",
+ " 48.9 \n",
" \n",
" \n",
" Lecce \n",
" Lecce \n",
" 26.0 \n",
- " 42.5 \n",
+ " 42.4 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 18.0 \n",
- " 12.0 \n",
+ " 14.0 \n",
" 1.0 \n",
" 2.0 \n",
" ... \n",
- " 263.0 \n",
- " 265.0 \n",
- " 43.0 \n",
+ " 275.0 \n",
+ " 279.0 \n",
+ " 45.0 \n",
" 3.0 \n",
" 2.0 \n",
" 1.0 \n",
- " 1072.0 \n",
- " 373.0 \n",
- " 295.0 \n",
- " 55.8 \n",
+ " 1141.0 \n",
+ " 396.0 \n",
+ " 316.0 \n",
+ " 55.6 \n",
" \n",
" \n",
" Milan \n",
" Milan \n",
" 27.0 \n",
- " 54.8 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 53.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 35.0 \n",
" 30.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 242.0 \n",
- " 237.0 \n",
- " 23.0 \n",
+ " 255.0 \n",
+ " 251.0 \n",
+ " 25.0 \n",
" 4.0 \n",
" 2.0 \n",
" 2.0 \n",
- " 1005.0 \n",
- " 234.0 \n",
- " 288.0 \n",
- " 44.8 \n",
+ " 1059.0 \n",
+ " 249.0 \n",
+ " 305.0 \n",
+ " 44.9 \n",
" \n",
" \n",
" Monza \n",
" Monza \n",
" 29.0 \n",
- " 55.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 24.0 \n",
- " 15.0 \n",
- " 3.0 \n",
- " 3.0 \n",
+ " 55.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 26.0 \n",
+ " 16.0 \n",
+ " 4.0 \n",
+ " 4.0 \n",
" ... \n",
- " 291.0 \n",
- " 251.0 \n",
+ " 303.0 \n",
+ " 263.0 \n",
" 37.0 \n",
" 0.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 1.0 \n",
- " 1023.0 \n",
- " 214.0 \n",
- " 225.0 \n",
- " 48.7 \n",
+ " 1075.0 \n",
+ " 226.0 \n",
+ " 241.0 \n",
+ " 48.4 \n",
" \n",
" \n",
" Napoli \n",
" Napoli \n",
" 24.0 \n",
- " 61.0 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 48.0 \n",
- " 39.0 \n",
- " 4.0 \n",
+ " 61.4 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 51.0 \n",
+ " 40.0 \n",
" 5.0 \n",
+ " 6.0 \n",
" ... \n",
- " 272.0 \n",
- " 174.0 \n",
- " 27.0 \n",
+ " 291.0 \n",
+ " 192.0 \n",
+ " 28.0 \n",
" 1.0 \n",
- " 4.0 \n",
+ " 5.0 \n",
" 0.0 \n",
- " 995.0 \n",
- " 210.0 \n",
- " 244.0 \n",
- " 46.3 \n",
+ " 1049.0 \n",
+ " 214.0 \n",
+ " 259.0 \n",
+ " 45.2 \n",
" \n",
" \n",
" Roma \n",
" Roma \n",
- " 25.0 \n",
- " 49.1 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
" 26.0 \n",
- " 17.0 \n",
+ " 48.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 28.0 \n",
+ " 19.0 \n",
" 3.0 \n",
" 5.0 \n",
" ... \n",
- " 274.0 \n",
- " 228.0 \n",
+ " 292.0 \n",
+ " 238.0 \n",
" 10.0 \n",
" 0.0 \n",
" 5.0 \n",
" 0.0 \n",
- " 1048.0 \n",
- " 197.0 \n",
- " 234.0 \n",
- " 45.7 \n",
+ " 1095.0 \n",
+ " 205.0 \n",
+ " 245.0 \n",
+ " 45.6 \n",
" \n",
" \n",
" Salernitana \n",
" Salernitana \n",
" 28.0 \n",
- " 44.8 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 45.1 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 24.0 \n",
" 16.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 226.0 \n",
- " 233.0 \n",
- " 49.0 \n",
- " 7.0 \n",
+ " 238.0 \n",
+ " 242.0 \n",
+ " 52.0 \n",
+ " 8.0 \n",
" 1.0 \n",
" 1.0 \n",
- " 1084.0 \n",
- " 258.0 \n",
- " 240.0 \n",
- " 51.8 \n",
+ " 1143.0 \n",
+ " 268.0 \n",
+ " 247.0 \n",
+ " 52.0 \n",
" \n",
" \n",
" Sampdoria \n",
" Sampdoria \n",
- " 30.0 \n",
- " 48.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 31.0 \n",
+ " 47.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 10.0 \n",
" 8.0 \n",
- " 7.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 316.0 \n",
- " 277.0 \n",
+ " 328.0 \n",
+ " 288.0 \n",
" 56.0 \n",
- " 3.0 \n",
+ " 4.0 \n",
" 0.0 \n",
" 0.0 \n",
- " 1075.0 \n",
- " 324.0 \n",
- " 327.0 \n",
- " 49.8 \n",
+ " 1126.0 \n",
+ " 340.0 \n",
+ " 339.0 \n",
+ " 50.1 \n",
" \n",
" \n",
" Sassuolo \n",
" Sassuolo \n",
- " 27.0 \n",
- " 48.3 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 23.0 \n",
- " 17.0 \n",
+ " 29.0 \n",
+ " 48.5 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 24.0 \n",
+ " 18.0 \n",
" 4.0 \n",
" 5.0 \n",
" ... \n",
- " 262.0 \n",
- " 190.0 \n",
- " 67.0 \n",
+ " 275.0 \n",
+ " 200.0 \n",
+ " 69.0 \n",
" 2.0 \n",
" 5.0 \n",
" 0.0 \n",
- " 1043.0 \n",
- " 229.0 \n",
- " 183.0 \n",
- " 55.6 \n",
+ " 1088.0 \n",
+ " 243.0 \n",
+ " 195.0 \n",
+ " 55.5 \n",
" \n",
" \n",
" Spezia \n",
" Spezia \n",
- " 30.0 \n",
- " 46.7 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 33.0 \n",
+ " 45.9 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 10.0 \n",
" 2.0 \n",
" 2.0 \n",
" ... \n",
- " 207.0 \n",
- " 261.0 \n",
- " 46.0 \n",
+ " 225.0 \n",
+ " 279.0 \n",
+ " 50.0 \n",
" 1.0 \n",
" 2.0 \n",
" 2.0 \n",
- " 1182.0 \n",
- " 322.0 \n",
- " 281.0 \n",
- " 53.4 \n",
+ " 1225.0 \n",
+ " 337.0 \n",
+ " 285.0 \n",
+ " 54.2 \n",
" \n",
" \n",
" Torino \n",
" Torino \n",
- " 24.0 \n",
- " 52.9 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.0 \n",
+ " 53.0 \n",
" 21.0 \n",
- " 16.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 22.0 \n",
+ " 17.0 \n",
" 1.0 \n",
" 1.0 \n",
" ... \n",
- " 221.0 \n",
- " 274.0 \n",
- " 22.0 \n",
+ " 229.0 \n",
+ " 287.0 \n",
+ " 23.0 \n",
" 3.0 \n",
" 1.0 \n",
" 0.0 \n",
- " 1045.0 \n",
- " 337.0 \n",
- " 309.0 \n",
- " 52.2 \n",
+ " 1095.0 \n",
+ " 347.0 \n",
+ " 319.0 \n",
+ " 52.1 \n",
" \n",
" \n",
" Udinese \n",
" Udinese \n",
- " 23.0 \n",
- " 50.4 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.0 \n",
+ " 50.0 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 27.0 \n",
" 23.0 \n",
" 0.0 \n",
" 0.0 \n",
" ... \n",
- " 261.0 \n",
- " 235.0 \n",
- " 31.0 \n",
+ " 274.0 \n",
+ " 242.0 \n",
+ " 34.0 \n",
" 2.0 \n",
" 0.0 \n",
" 1.0 \n",
- " 1010.0 \n",
- " 212.0 \n",
- " 254.0 \n",
- " 45.5 \n",
+ " 1063.0 \n",
+ " 222.0 \n",
+ " 264.0 \n",
+ " 45.7 \n",
" \n",
" \n",
"\n",
- "20 rows × 321 columns
\n",
+ "20 rows × 303 columns
\n",
""
],
"text/plain": [
" team team_players_used team_possession team_games \\\n",
"team_idx \n",
- "Atalanta Atalanta 24.0 49.1 20.0 \n",
- "Bologna Bologna 24.0 52.6 20.0 \n",
- "Cremonese Cremonese 29.0 43.6 20.0 \n",
- "Empoli Empoli 26.0 46.4 20.0 \n",
- "Fiorentina Fiorentina 27.0 57.1 20.0 \n",
- "Verona Hellas Verona 32.0 43.5 20.0 \n",
- "Inter Inter 23.0 53.6 20.0 \n",
- "Juventus Juventus 26.0 49.4 20.0 \n",
- "Lazio Lazio 21.0 50.9 20.0 \n",
- "Lecce Lecce 26.0 42.5 20.0 \n",
- "Milan Milan 27.0 54.8 20.0 \n",
- "Monza Monza 29.0 55.1 20.0 \n",
- "Napoli Napoli 24.0 61.0 20.0 \n",
- "Roma Roma 25.0 49.1 20.0 \n",
- "Salernitana Salernitana 28.0 44.8 20.0 \n",
- "Sampdoria Sampdoria 30.0 48.9 20.0 \n",
- "Sassuolo Sassuolo 27.0 48.3 20.0 \n",
- "Spezia Spezia 30.0 46.7 20.0 \n",
- "Torino Torino 24.0 52.9 20.0 \n",
- "Udinese Udinese 23.0 50.4 20.0 \n",
+ "Atalanta Atalanta 24.0 49.0 21.0 \n",
+ "Bologna Bologna 25.0 51.9 21.0 \n",
+ "Cremonese Cremonese 30.0 44.2 21.0 \n",
+ "Empoli Empoli 27.0 46.8 21.0 \n",
+ "Fiorentina Fiorentina 28.0 57.3 21.0 \n",
+ "Verona Hellas Verona 34.0 43.1 21.0 \n",
+ "Inter Inter 23.0 54.0 21.0 \n",
+ "Juventus Juventus 26.0 49.2 21.0 \n",
+ "Lazio Lazio 21.0 51.4 21.0 \n",
+ "Lecce Lecce 26.0 42.4 21.0 \n",
+ "Milan Milan 27.0 53.9 21.0 \n",
+ "Monza Monza 29.0 55.9 21.0 \n",
+ "Napoli Napoli 24.0 61.4 21.0 \n",
+ "Roma Roma 26.0 48.9 21.0 \n",
+ "Salernitana Salernitana 28.0 45.1 21.0 \n",
+ "Sampdoria Sampdoria 31.0 47.9 21.0 \n",
+ "Sassuolo Sassuolo 29.0 48.5 21.0 \n",
+ "Spezia Spezia 33.0 45.9 21.0 \n",
+ "Torino Torino 25.0 53.0 21.0 \n",
+ "Udinese Udinese 25.0 50.0 21.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
"team_idx \n",
- "Atalanta 220.0 1800.0 38.0 27.0 \n",
- "Bologna 220.0 1800.0 25.0 19.0 \n",
- "Cremonese 220.0 1800.0 15.0 7.0 \n",
- "Empoli 220.0 1800.0 19.0 11.0 \n",
- "Fiorentina 220.0 1800.0 22.0 17.0 \n",
- "Verona 220.0 1800.0 16.0 13.0 \n",
- "Inter 220.0 1800.0 39.0 26.0 \n",
- "Juventus 220.0 1800.0 30.0 23.0 \n",
- "Lazio 220.0 1800.0 35.0 25.0 \n",
- "Lecce 220.0 1800.0 18.0 12.0 \n",
- "Milan 220.0 1800.0 35.0 30.0 \n",
- "Monza 220.0 1800.0 24.0 15.0 \n",
- "Napoli 220.0 1800.0 48.0 39.0 \n",
- "Roma 220.0 1800.0 26.0 17.0 \n",
- "Salernitana 220.0 1800.0 24.0 16.0 \n",
- "Sampdoria 220.0 1800.0 8.0 7.0 \n",
- "Sassuolo 220.0 1800.0 23.0 17.0 \n",
- "Spezia 220.0 1800.0 15.0 10.0 \n",
- "Torino 220.0 1800.0 21.0 16.0 \n",
- "Udinese 220.0 1800.0 27.0 23.0 \n",
+ "Atalanta 231.0 1890.0 38.0 27.0 \n",
+ "Bologna 231.0 1890.0 27.0 20.0 \n",
+ "Cremonese 231.0 1890.0 15.0 7.0 \n",
+ "Empoli 231.0 1890.0 19.0 11.0 \n",
+ "Fiorentina 231.0 1890.0 23.0 18.0 \n",
+ "Verona 231.0 1890.0 17.0 14.0 \n",
+ "Inter 231.0 1890.0 40.0 27.0 \n",
+ "Juventus 231.0 1890.0 33.0 25.0 \n",
+ "Lazio 231.0 1890.0 36.0 26.0 \n",
+ "Lecce 231.0 1890.0 20.0 14.0 \n",
+ "Milan 231.0 1890.0 35.0 30.0 \n",
+ "Monza 231.0 1890.0 26.0 16.0 \n",
+ "Napoli 231.0 1890.0 51.0 40.0 \n",
+ "Roma 231.0 1890.0 28.0 19.0 \n",
+ "Salernitana 231.0 1890.0 24.0 16.0 \n",
+ "Sampdoria 231.0 1890.0 10.0 8.0 \n",
+ "Sassuolo 231.0 1890.0 24.0 18.0 \n",
+ "Spezia 231.0 1890.0 15.0 10.0 \n",
+ "Torino 231.0 1890.0 22.0 17.0 \n",
+ "Udinese 231.0 1890.0 27.0 23.0 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
"team_idx ... \n",
- "Atalanta 6.0 8.0 ... 220.0 \n",
- "Bologna 3.0 3.0 ... 252.0 \n",
- "Cremonese 2.0 4.0 ... 217.0 \n",
- "Empoli 0.0 0.0 ... 260.0 \n",
- "Fiorentina 2.0 4.0 ... 271.0 \n",
- "Verona 0.0 0.0 ... 201.0 \n",
- "Inter 2.0 2.0 ... 249.0 \n",
- "Juventus 2.0 3.0 ... 220.0 \n",
- "Lazio 3.0 4.0 ... 278.0 \n",
- "Lecce 1.0 2.0 ... 263.0 \n",
- "Milan 2.0 2.0 ... 242.0 \n",
- "Monza 3.0 3.0 ... 291.0 \n",
- "Napoli 4.0 5.0 ... 272.0 \n",
- "Roma 3.0 5.0 ... 274.0 \n",
- "Salernitana 1.0 1.0 ... 226.0 \n",
- "Sampdoria 0.0 0.0 ... 316.0 \n",
- "Sassuolo 4.0 5.0 ... 262.0 \n",
- "Spezia 2.0 2.0 ... 207.0 \n",
- "Torino 1.0 1.0 ... 221.0 \n",
- "Udinese 0.0 0.0 ... 261.0 \n",
+ "Atalanta 6.0 8.0 ... 232.0 \n",
+ "Bologna 4.0 4.0 ... 262.0 \n",
+ "Cremonese 2.0 4.0 ... 232.0 \n",
+ "Empoli 0.0 0.0 ... 270.0 \n",
+ "Fiorentina 2.0 4.0 ... 296.0 \n",
+ "Verona 0.0 0.0 ... 213.0 \n",
+ "Inter 2.0 2.0 ... 263.0 \n",
+ "Juventus 3.0 4.0 ... 229.0 \n",
+ "Lazio 3.0 4.0 ... 294.0 \n",
+ "Lecce 1.0 2.0 ... 275.0 \n",
+ "Milan 2.0 2.0 ... 255.0 \n",
+ "Monza 4.0 4.0 ... 303.0 \n",
+ "Napoli 5.0 6.0 ... 291.0 \n",
+ "Roma 3.0 5.0 ... 292.0 \n",
+ "Salernitana 1.0 1.0 ... 238.0 \n",
+ "Sampdoria 0.0 0.0 ... 328.0 \n",
+ "Sassuolo 4.0 5.0 ... 275.0 \n",
+ "Spezia 2.0 2.0 ... 225.0 \n",
+ "Torino 1.0 1.0 ... 229.0 \n",
+ "Udinese 0.0 0.0 ... 274.0 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
"team_idx \n",
- "Atalanta 232.0 26.0 1.0 \n",
- "Bologna 229.0 33.0 3.0 \n",
- "Cremonese 254.0 32.0 3.0 \n",
- "Empoli 226.0 32.0 2.0 \n",
- "Fiorentina 243.0 53.0 1.0 \n",
- "Verona 286.0 22.0 1.0 \n",
- "Inter 224.0 18.0 2.0 \n",
- "Juventus 221.0 27.0 0.0 \n",
- "Lazio 196.0 44.0 1.0 \n",
- "Lecce 265.0 43.0 3.0 \n",
- "Milan 237.0 23.0 4.0 \n",
- "Monza 251.0 37.0 0.0 \n",
- "Napoli 174.0 27.0 1.0 \n",
- "Roma 228.0 10.0 0.0 \n",
- "Salernitana 233.0 49.0 7.0 \n",
- "Sampdoria 277.0 56.0 3.0 \n",
- "Sassuolo 190.0 67.0 2.0 \n",
- "Spezia 261.0 46.0 1.0 \n",
- "Torino 274.0 22.0 3.0 \n",
- "Udinese 235.0 31.0 2.0 \n",
+ "Atalanta 244.0 26.0 1.0 \n",
+ "Bologna 254.0 36.0 3.0 \n",
+ "Cremonese 264.0 33.0 3.0 \n",
+ "Empoli 244.0 35.0 2.0 \n",
+ "Fiorentina 252.0 54.0 1.0 \n",
+ "Verona 302.0 24.0 1.0 \n",
+ "Inter 237.0 19.0 2.0 \n",
+ "Juventus 232.0 27.0 0.0 \n",
+ "Lazio 206.0 44.0 1.0 \n",
+ "Lecce 279.0 45.0 3.0 \n",
+ "Milan 251.0 25.0 4.0 \n",
+ "Monza 263.0 37.0 0.0 \n",
+ "Napoli 192.0 28.0 1.0 \n",
+ "Roma 238.0 10.0 0.0 \n",
+ "Salernitana 242.0 52.0 8.0 \n",
+ "Sampdoria 288.0 56.0 4.0 \n",
+ "Sassuolo 200.0 69.0 2.0 \n",
+ "Spezia 279.0 50.0 1.0 \n",
+ "Torino 287.0 23.0 3.0 \n",
+ "Udinese 242.0 34.0 2.0 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
"team_idx \n",
"Atalanta 8.0 1.0 \n",
- "Bologna 3.0 1.0 \n",
+ "Bologna 4.0 1.0 \n",
"Cremonese 4.0 0.0 \n",
"Empoli 0.0 0.0 \n",
"Fiorentina 4.0 0.0 \n",
"Verona 0.0 2.0 \n",
"Inter 2.0 1.0 \n",
- "Juventus 3.0 0.0 \n",
+ "Juventus 4.0 0.0 \n",
"Lazio 4.0 1.0 \n",
"Lecce 2.0 1.0 \n",
"Milan 2.0 2.0 \n",
- "Monza 3.0 1.0 \n",
- "Napoli 4.0 0.0 \n",
+ "Monza 4.0 1.0 \n",
+ "Napoli 5.0 0.0 \n",
"Roma 5.0 0.0 \n",
"Salernitana 1.0 1.0 \n",
"Sampdoria 0.0 0.0 \n",
@@ -719,54 +719,54 @@
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
"team_idx \n",
- "Atalanta 1214.0 248.0 \n",
- "Bologna 1081.0 224.0 \n",
- "Cremonese 1106.0 367.0 \n",
- "Empoli 1062.0 231.0 \n",
- "Fiorentina 1005.0 261.0 \n",
- "Verona 1096.0 362.0 \n",
- "Inter 914.0 204.0 \n",
- "Juventus 1007.0 240.0 \n",
- "Lazio 1085.0 196.0 \n",
- "Lecce 1072.0 373.0 \n",
- "Milan 1005.0 234.0 \n",
- "Monza 1023.0 214.0 \n",
- "Napoli 995.0 210.0 \n",
- "Roma 1048.0 197.0 \n",
- "Salernitana 1084.0 258.0 \n",
- "Sampdoria 1075.0 324.0 \n",
- "Sassuolo 1043.0 229.0 \n",
- "Spezia 1182.0 322.0 \n",
- "Torino 1045.0 337.0 \n",
- "Udinese 1010.0 212.0 \n",
+ "Atalanta 1261.0 260.0 \n",
+ "Bologna 1145.0 239.0 \n",
+ "Cremonese 1168.0 388.0 \n",
+ "Empoli 1104.0 242.0 \n",
+ "Fiorentina 1061.0 274.0 \n",
+ "Verona 1173.0 385.0 \n",
+ "Inter 960.0 221.0 \n",
+ "Juventus 1064.0 247.0 \n",
+ "Lazio 1157.0 207.0 \n",
+ "Lecce 1141.0 396.0 \n",
+ "Milan 1059.0 249.0 \n",
+ "Monza 1075.0 226.0 \n",
+ "Napoli 1049.0 214.0 \n",
+ "Roma 1095.0 205.0 \n",
+ "Salernitana 1143.0 268.0 \n",
+ "Sampdoria 1126.0 340.0 \n",
+ "Sassuolo 1088.0 243.0 \n",
+ "Spezia 1225.0 337.0 \n",
+ "Torino 1095.0 347.0 \n",
+ "Udinese 1063.0 222.0 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
"team_idx \n",
- "Atalanta 303.0 45.0 \n",
- "Bologna 180.0 55.4 \n",
- "Cremonese 273.0 57.3 \n",
- "Empoli 203.0 53.2 \n",
- "Fiorentina 302.0 46.4 \n",
- "Verona 411.0 46.8 \n",
- "Inter 251.0 44.8 \n",
- "Juventus 247.0 49.3 \n",
- "Lazio 193.0 50.4 \n",
- "Lecce 295.0 55.8 \n",
- "Milan 288.0 44.8 \n",
- "Monza 225.0 48.7 \n",
- "Napoli 244.0 46.3 \n",
- "Roma 234.0 45.7 \n",
- "Salernitana 240.0 51.8 \n",
- "Sampdoria 327.0 49.8 \n",
- "Sassuolo 183.0 55.6 \n",
- "Spezia 281.0 53.4 \n",
- "Torino 309.0 52.2 \n",
- "Udinese 254.0 45.5 \n",
+ "Atalanta 317.0 45.1 \n",
+ "Bologna 193.0 55.3 \n",
+ "Cremonese 296.0 56.7 \n",
+ "Empoli 211.0 53.4 \n",
+ "Fiorentina 317.0 46.4 \n",
+ "Verona 422.0 47.7 \n",
+ "Inter 266.0 45.4 \n",
+ "Juventus 257.0 49.0 \n",
+ "Lazio 216.0 48.9 \n",
+ "Lecce 316.0 55.6 \n",
+ "Milan 305.0 44.9 \n",
+ "Monza 241.0 48.4 \n",
+ "Napoli 259.0 45.2 \n",
+ "Roma 245.0 45.6 \n",
+ "Salernitana 247.0 52.0 \n",
+ "Sampdoria 339.0 50.1 \n",
+ "Sassuolo 195.0 55.5 \n",
+ "Spezia 285.0 54.2 \n",
+ "Torino 319.0 52.1 \n",
+ "Udinese 264.0 45.7 \n",
"\n",
- "[20 rows x 321 columns]"
+ "[20 rows x 303 columns]"
]
},
- "execution_count": 51,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
@@ -800,7 +800,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 23,
"id": "b6a3db98",
"metadata": {},
"outputs": [],
@@ -818,7 +818,7 @@
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 24,
"id": "c34eb398",
"metadata": {},
"outputs": [
@@ -899,21 +899,21 @@
" Napoli \n",
" Meret \n",
" NaN \n",
- " 535 \n",
- " 25-319 \n",
+ " 551 \n",
+ " 25-325 \n",
" 1997 \n",
" 0 \n",
" ... \n",
- " 20.3 \n",
- " 27.5 \n",
- " 213.0 \n",
+ " 19.5 \n",
+ " 27.1 \n",
+ " 221.0 \n",
" 6.0 \n",
- " 2.8 \n",
+ " 2.7 \n",
" 24.0 \n",
- " 1.20 \n",
+ " 1.14 \n",
" 17.2 \n",
- " 6.275000 \n",
- " 0.486698 \n",
+ " 6.261905 \n",
+ " 0.478566 \n",
" \n",
" \n",
" Provedel \n",
@@ -923,21 +923,21 @@
" Lazio \n",
" Provedel \n",
" NaN \n",
- " 544 \n",
- " 28-324 \n",
+ " 560 \n",
+ " 28-330 \n",
" 1994 \n",
" 0 \n",
" ... \n",
- " 33.6 \n",
" 34.2 \n",
- " 266.0 \n",
+ " 34.5 \n",
+ " 279.0 \n",
" 7.0 \n",
- " 2.6 \n",
- " 37.0 \n",
+ " 2.5 \n",
+ " 39.0 \n",
" 1.86 \n",
- " 18.0 \n",
- " 6.225000 \n",
- " 0.334477 \n",
+ " 18.2 \n",
+ " 6.261905 \n",
+ " 0.365769 \n",
" \n",
" \n",
" Vicario \n",
@@ -947,21 +947,21 @@
" Empoli \n",
" Vicario \n",
" NaN \n",
- " 553 \n",
- " 26-120 \n",
+ " 569 \n",
+ " 26-126 \n",
" 1996 \n",
" 0 \n",
" ... \n",
- " 47.7 \n",
- " 42.5 \n",
- " 412.0 \n",
+ " 47.2 \n",
+ " 42.4 \n",
+ " 426.0 \n",
" 25.0 \n",
- " 6.1 \n",
- " 10.0 \n",
- " 0.50 \n",
- " 10.7 \n",
- " 6.450000 \n",
- " 0.384057 \n",
+ " 5.9 \n",
+ " 12.0 \n",
+ " 0.57 \n",
+ " 10.9 \n",
+ " 6.476190 \n",
+ " 0.392677 \n",
" \n",
" \n",
" Szczesny \n",
@@ -971,21 +971,21 @@
" Juventus \n",
" Szczesny \n",
" NaN \n",
- " 550 \n",
- " 32-292 \n",
+ " 566 \n",
+ " 32-298 \n",
" 1990 \n",
" 0 \n",
" ... \n",
- " 40.3 \n",
- " 38.9 \n",
- " 159.0 \n",
+ " 41.7 \n",
+ " 38.7 \n",
+ " 178.0 \n",
" 4.0 \n",
- " 2.5 \n",
- " 10.0 \n",
- " 0.74 \n",
- " 15.1 \n",
- " 6.035714 \n",
- " 0.351745 \n",
+ " 2.2 \n",
+ " 12.0 \n",
+ " 0.83 \n",
+ " 15.8 \n",
+ " 6.033333 \n",
+ " 0.339935 \n",
" \n",
" \n",
" Falcone \n",
@@ -995,21 +995,21 @@
" Lecce \n",
" Falcone \n",
" NaN \n",
- " 530 \n",
- " 27-298 \n",
+ " 546 \n",
+ " 27-304 \n",
" 1995 \n",
" 0 \n",
" ... \n",
- " 75.0 \n",
- " 51.4 \n",
- " 302.0 \n",
- " 13.0 \n",
- " 4.3 \n",
+ " 76.1 \n",
+ " 51.7 \n",
+ " 316.0 \n",
+ " 15.0 \n",
+ " 4.7 \n",
" 20.0 \n",
- " 1.00 \n",
+ " 0.95 \n",
" 12.5 \n",
- " 6.325000 \n",
- " 0.363146 \n",
+ " 6.309524 \n",
+ " 0.361089 \n",
" \n",
" \n",
" ... \n",
@@ -1043,8 +1043,8 @@
" Sampdoria \n",
" Luca \n",
" NaN \n",
- " 130 \n",
- " 24-202 \n",
+ " 134 \n",
+ " 24-208 \n",
" 1998 \n",
" 1 \n",
" ... \n",
@@ -1056,8 +1056,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.881660 \n",
- " 0.665426 \n",
+ " 5.947397 \n",
+ " 0.490100 \n",
" \n",
" \n",
" Voelkerling Persson \n",
@@ -1067,10 +1067,10 @@
" Lecce \n",
" Persson \n",
" NaN \n",
- " 494 \n",
- " 20-020 \n",
+ " 508 \n",
+ " 20-026 \n",
" 2003 \n",
- " 2 \n",
+ " 3 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -1080,8 +1080,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.227492 \n",
- " 0.259439 \n",
+ " 5.694209 \n",
+ " 0.383547 \n",
" \n",
" \n",
" Montevago \n",
@@ -1091,8 +1091,8 @@
" Sampdoria \n",
" Montevago \n",
" NaN \n",
- " 322 \n",
- " 19-323 \n",
+ " 331 \n",
+ " 19-329 \n",
" 2003 \n",
" 6 \n",
" ... \n",
@@ -1104,8 +1104,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.956291 \n",
- " 0.615163 \n",
+ " 5.623932 \n",
+ " 0.280948 \n",
" \n",
" \n",
" Krollis \n",
@@ -1115,10 +1115,10 @@
" Spezia \n",
" Krollis \n",
" NaN \n",
- " -1 \n",
- " 0 \n",
- " 0 \n",
- " 0 \n",
+ " 258 \n",
+ " 21-105 \n",
+ " 2001 \n",
+ " 1 \n",
" ... \n",
" 0.0 \n",
" 0.0 \n",
@@ -1128,8 +1128,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.699562 \n",
- " 0.705829 \n",
+ " 6.124287 \n",
+ " 0.483769 \n",
" \n",
" \n",
" Vivaldo \n",
@@ -1152,50 +1152,50 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 5.888111 \n",
- " 0.648879 \n",
+ " 6.215679 \n",
+ " 0.378965 \n",
" \n",
" \n",
"\n",
- "543 rows × 169 columns
\n",
+ "543 rows × 160 columns
\n",
""
],
"text/plain": [
" Unnamed: 0 id r team surname initial fb_ID \\\n",
"name \n",
- "Meret 0 572 P Napoli Meret NaN 535 \n",
- "Provedel 1 2814 P Lazio Provedel NaN 544 \n",
- "Vicario 2 4964 P Empoli Vicario NaN 553 \n",
- "Szczesny 3 453 P Juventus Szczesny NaN 550 \n",
- "Falcone 4 2134 P Lecce Falcone NaN 530 \n",
+ "Meret 0 572 P Napoli Meret NaN 551 \n",
+ "Provedel 1 2814 P Lazio Provedel NaN 560 \n",
+ "Vicario 2 4964 P Empoli Vicario NaN 569 \n",
+ "Szczesny 3 453 P Juventus Szczesny NaN 566 \n",
+ "Falcone 4 2134 P Lecce Falcone NaN 546 \n",
"... ... ... .. ... ... ... ... \n",
- "De Luca 538 5512 A Sampdoria Luca NaN 130 \n",
- "Voelkerling Persson 539 5837 A Lecce Persson NaN 494 \n",
- "Montevago 540 6113 A Sampdoria Montevago NaN 322 \n",
- "Krollis 541 6143 A Spezia Krollis NaN -1 \n",
+ "De Luca 538 5512 A Sampdoria Luca NaN 134 \n",
+ "Voelkerling Persson 539 5837 A Lecce Persson NaN 508 \n",
+ "Montevago 540 6113 A Sampdoria Montevago NaN 331 \n",
+ "Krollis 541 6143 A Spezia Krollis NaN 258 \n",
"Vivaldo 542 6160 A Udinese Vivaldo NaN -1 \n",
"\n",
" age birth_year games ... \\\n",
"name ... \n",
- "Meret 25-319 1997 0 ... \n",
- "Provedel 28-324 1994 0 ... \n",
- "Vicario 26-120 1996 0 ... \n",
- "Szczesny 32-292 1990 0 ... \n",
- "Falcone 27-298 1995 0 ... \n",
+ "Meret 25-325 1997 0 ... \n",
+ "Provedel 28-330 1994 0 ... \n",
+ "Vicario 26-126 1996 0 ... \n",
+ "Szczesny 32-298 1990 0 ... \n",
+ "Falcone 27-304 1995 0 ... \n",
"... ... ... ... ... \n",
- "De Luca 24-202 1998 1 ... \n",
- "Voelkerling Persson 20-020 2003 2 ... \n",
- "Montevago 19-323 2003 6 ... \n",
- "Krollis 0 0 0 ... \n",
+ "De Luca 24-208 1998 1 ... \n",
+ "Voelkerling Persson 20-026 2003 3 ... \n",
+ "Montevago 19-329 2003 6 ... \n",
+ "Krollis 21-105 2001 1 ... \n",
"Vivaldo 0 0 0 ... \n",
"\n",
" gk_pct_goal_kicks_launched gk_goal_kick_length_avg \\\n",
"name \n",
- "Meret 20.3 27.5 \n",
- "Provedel 33.6 34.2 \n",
- "Vicario 47.7 42.5 \n",
- "Szczesny 40.3 38.9 \n",
- "Falcone 75.0 51.4 \n",
+ "Meret 19.5 27.1 \n",
+ "Provedel 34.2 34.5 \n",
+ "Vicario 47.2 42.4 \n",
+ "Szczesny 41.7 38.7 \n",
+ "Falcone 76.1 51.7 \n",
"... ... ... \n",
"De Luca 0.0 0.0 \n",
"Voelkerling Persson 0.0 0.0 \n",
@@ -1205,11 +1205,11 @@
"\n",
" gk_crosses gk_crosses_stopped gk_crosses_stopped_pct \\\n",
"name \n",
- "Meret 213.0 6.0 2.8 \n",
- "Provedel 266.0 7.0 2.6 \n",
- "Vicario 412.0 25.0 6.1 \n",
- "Szczesny 159.0 4.0 2.5 \n",
- "Falcone 302.0 13.0 4.3 \n",
+ "Meret 221.0 6.0 2.7 \n",
+ "Provedel 279.0 7.0 2.5 \n",
+ "Vicario 426.0 25.0 5.9 \n",
+ "Szczesny 178.0 4.0 2.2 \n",
+ "Falcone 316.0 15.0 4.7 \n",
"... ... ... ... \n",
"De Luca 0.0 0.0 0.0 \n",
"Voelkerling Persson 0.0 0.0 0.0 \n",
@@ -1220,9 +1220,9 @@
" gk_def_actions_outside_pen_area \\\n",
"name \n",
"Meret 24.0 \n",
- "Provedel 37.0 \n",
- "Vicario 10.0 \n",
- "Szczesny 10.0 \n",
+ "Provedel 39.0 \n",
+ "Vicario 12.0 \n",
+ "Szczesny 12.0 \n",
"Falcone 20.0 \n",
"... ... \n",
"De Luca 0.0 \n",
@@ -1233,11 +1233,11 @@
"\n",
" gk_def_actions_outside_pen_area_per90 \\\n",
"name \n",
- "Meret 1.20 \n",
+ "Meret 1.14 \n",
"Provedel 1.86 \n",
- "Vicario 0.50 \n",
- "Szczesny 0.74 \n",
- "Falcone 1.00 \n",
+ "Vicario 0.57 \n",
+ "Szczesny 0.83 \n",
+ "Falcone 0.95 \n",
"... ... \n",
"De Luca 0.00 \n",
"Voelkerling Persson 0.00 \n",
@@ -1247,22 +1247,22 @@
"\n",
" gk_avg_distance_def_actions vote_avg vote_std \n",
"name \n",
- "Meret 17.2 6.275000 0.486698 \n",
- "Provedel 18.0 6.225000 0.334477 \n",
- "Vicario 10.7 6.450000 0.384057 \n",
- "Szczesny 15.1 6.035714 0.351745 \n",
- "Falcone 12.5 6.325000 0.363146 \n",
+ "Meret 17.2 6.261905 0.478566 \n",
+ "Provedel 18.2 6.261905 0.365769 \n",
+ "Vicario 10.9 6.476190 0.392677 \n",
+ "Szczesny 15.8 6.033333 0.339935 \n",
+ "Falcone 12.5 6.309524 0.361089 \n",
"... ... ... ... \n",
- "De Luca 0.0 5.881660 0.665426 \n",
- "Voelkerling Persson 0.0 6.227492 0.259439 \n",
- "Montevago 0.0 5.956291 0.615163 \n",
- "Krollis 0.0 5.699562 0.705829 \n",
- "Vivaldo 0.0 5.888111 0.648879 \n",
+ "De Luca 0.0 5.947397 0.490100 \n",
+ "Voelkerling Persson 0.0 5.694209 0.383547 \n",
+ "Montevago 0.0 5.623932 0.280948 \n",
+ "Krollis 0.0 6.124287 0.483769 \n",
+ "Vivaldo 0.0 6.215679 0.378965 \n",
"\n",
- "[543 rows x 169 columns]"
+ "[543 rows x 160 columns]"
]
},
- "execution_count": 53,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
@@ -1284,7 +1284,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 25,
"id": "71c8804e",
"metadata": {},
"outputs": [],
@@ -1319,7 +1319,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 26,
"id": "7eb4e666",
"metadata": {},
"outputs": [
@@ -1376,33 +1376,33 @@
" Sassuolo \n",
" Frattesi \n",
" NaN \n",
- " 187 \n",
- " 23-105 \n",
+ " 191 \n",
+ " 23-111 \n",
" 1999 \n",
- " 20 \n",
+ " 21 \n",
" ... \n",
- " 220.0 \n",
" 232.0 \n",
+ " 244.0 \n",
" 26.0 \n",
" 1.0 \n",
" 8.0 \n",
" 1.0 \n",
- " 1214.0 \n",
- " 248.0 \n",
- " 303.0 \n",
- " 45.0 \n",
+ " 1261.0 \n",
+ " 260.0 \n",
+ " 317.0 \n",
+ " 45.1 \n",
" \n",
" \n",
"\n",
- "1 rows × 811 columns
\n",
+ "1 rows × 766 columns
\n",
""
],
"text/plain": [
" Unnamed: 0 id r team surname initial fb_ID age \\\n",
- "Frattesi 274 2848 C Sassuolo Frattesi NaN 187 23-105 \n",
+ "Frattesi 274 2848 C Sassuolo Frattesi NaN 191 23-111 \n",
"\n",
" birth_year games ... opp_vs_team_fouls opp_vs_team_fouled \\\n",
- "Frattesi 1999 20 ... 220.0 232.0 \n",
+ "Frattesi 1999 21 ... 232.0 244.0 \n",
"\n",
" opp_vs_team_offsides opp_vs_team_pens_won \\\n",
"Frattesi 26.0 1.0 \n",
@@ -1411,15 +1411,15 @@
"Frattesi 8.0 1.0 \n",
"\n",
" opp_vs_team_ball_recoveries opp_vs_team_aerials_won \\\n",
- "Frattesi 1214.0 248.0 \n",
+ "Frattesi 1261.0 260.0 \n",
"\n",
" opp_vs_team_aerials_lost opp_vs_team_aerials_won_pct \n",
- "Frattesi 303.0 45.0 \n",
+ "Frattesi 317.0 45.1 \n",
"\n",
- "[1 rows x 811 columns]"
+ "[1 rows x 766 columns]"
]
},
- "execution_count": 55,
+ "execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
@@ -1433,7 +1433,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 27,
"id": "6b4c1b00",
"metadata": {},
"outputs": [
@@ -1443,7 +1443,7 @@
"'Sassuolo'"
]
},
- "execution_count": 56,
+ "execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
@@ -1456,7 +1456,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 28,
"id": "6ea6df1f",
"metadata": {},
"outputs": [
@@ -1556,7 +1556,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 57,
+ "execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
@@ -1588,7 +1588,7 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 29,
"id": "47bc651f",
"metadata": {},
"outputs": [],
@@ -1601,8 +1601,8 @@
" 'goals_per_shot',\n",
" 'goals_per_shot_on_target',\n",
" 'passes_pct',\n",
- " 'dribble_tackles_pct',\n",
- " 'dribbles_completed_pct',\n",
+ " #'dribble_tackles_pct',\n",
+ " #'dribbles_completed_pct',\n",
" 'aerials_won_pct',\n",
" 'team_possession',\n",
" 'team_goals_assists_per90',\n",
@@ -1617,7 +1617,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -1634,8 +1634,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -1650,7 +1650,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -1667,8 +1667,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -1692,9 +1692,9 @@
" 'passes_switches',\n",
" 'crosses',\n",
" 'corner_kicks',\n",
- " 'dribble_tackles',\n",
- " 'dribbles_vs',\n",
- " 'dribbled_past',\n",
+ " #'dribble_tackles',\n",
+ " #'dribbles_vs',\n",
+ " #'dribbled_past',\n",
" 'blocks',\n",
" 'blocked_shots',\n",
" 'blocked_passes',\n",
@@ -1708,8 +1708,8 @@
" 'touches_att_3rd',\n",
" 'touches_att_pen_area',\n",
" 'touches_live_ball',\n",
- " 'dribbles_completed',\n",
- " 'dribbles',\n",
+ " #'dribbles_completed',\n",
+ " #'dribbles',\n",
" 'passes_received',\n",
" 'miscontrols',\n",
" 'dispossessed',\n",
@@ -1742,7 +1742,7 @@
},
{
"cell_type": "code",
- "execution_count": 59,
+ "execution_count": 30,
"id": "3f43d509",
"metadata": {},
"outputs": [],
@@ -1773,7 +1773,7 @@
},
{
"cell_type": "code",
- "execution_count": 60,
+ "execution_count": 31,
"id": "930d00c7",
"metadata": {},
"outputs": [
@@ -1806,8 +1806,8 @@
" goals_per_shot \n",
" goals_per_shot_on_target \n",
" passes_pct \n",
- " dribble_tackles_pct \n",
- " dribbles_completed_pct \n",
+ " aerials_won_pct \n",
+ " team_possession \n",
" ... \n",
" miscontrols \n",
" dispossessed \n",
@@ -1825,55 +1825,55 @@
" \n",
" Frattesi \n",
" C \n",
- " 20 \n",
- " 20 \n",
- " 1636 \n",
- " 50.0 \n",
- " 0.14 \n",
+ " 21 \n",
+ " 21 \n",
+ " 1726 \n",
+ " 47.4 \n",
+ " 0.13 \n",
" 0.28 \n",
- " 77.7 \n",
- " 58.3 \n",
- " 52.2 \n",
+ " 78.6 \n",
+ " 57.1 \n",
+ " 48.5 \n",
" ... \n",
- " 0.017726 \n",
- " 0.017115 \n",
- " 0.015892 \n",
- " 0.022005 \n",
- " 0.00978 \n",
- " 0.007335 \n",
- " 0.271394 \n",
- " 0.026284 \n",
- " 0.018337 \n",
- " 0.008557 \n",
+ " 0.01854 \n",
+ " 0.016222 \n",
+ " 0.015643 \n",
+ " 0.021437 \n",
+ " 0.00927 \n",
+ " 0.006952 \n",
+ " 0.275782 \n",
+ " 0.026072 \n",
+ " 0.020278 \n",
+ " 0.008111 \n",
" \n",
" \n",
"\n",
- "1 rows × 125 columns
\n",
+ "1 rows × 112 columns
\n",
""
],
"text/plain": [
" r games games_starts minutes shots_on_target_pct \\\n",
- "Frattesi C 20 20 1636 50.0 \n",
+ "Frattesi C 21 21 1726 47.4 \n",
"\n",
" goals_per_shot goals_per_shot_on_target passes_pct \\\n",
- "Frattesi 0.14 0.28 77.7 \n",
+ "Frattesi 0.13 0.28 78.6 \n",
"\n",
- " dribble_tackles_pct dribbles_completed_pct ... miscontrols \\\n",
- "Frattesi 58.3 52.2 ... 0.017726 \n",
+ " aerials_won_pct team_possession ... miscontrols dispossessed \\\n",
+ "Frattesi 57.1 48.5 ... 0.01854 0.016222 \n",
"\n",
- " dispossessed fouls fouled aerials_won aerials_lost \\\n",
- "Frattesi 0.017115 0.015892 0.022005 0.00978 0.007335 \n",
+ " fouls fouled aerials_won aerials_lost carries \\\n",
+ "Frattesi 0.015643 0.021437 0.00927 0.006952 0.275782 \n",
"\n",
- " carries progressive_carries carries_into_final_third \\\n",
- "Frattesi 0.271394 0.026284 0.018337 \n",
+ " progressive_carries carries_into_final_third \\\n",
+ "Frattesi 0.026072 0.020278 \n",
"\n",
" carries_into_penalty_area \n",
- "Frattesi 0.008557 \n",
+ "Frattesi 0.008111 \n",
"\n",
- "[1 rows x 125 columns]"
+ "[1 rows x 112 columns]"
]
},
- "execution_count": 60,
+ "execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
@@ -1896,7 +1896,7 @@
},
{
"cell_type": "code",
- "execution_count": 61,
+ "execution_count": 32,
"id": "3ae718d2",
"metadata": {},
"outputs": [
@@ -2013,51 +2013,38 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
@@ -2065,36 +2052,49 @@
" 6.0 \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" \n",
" \n",
"\n",
- "5715 rows × 10 columns
\n",
+ "5992 rows × 10 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
" cards_malus fantavote \n",
"0 0.5 5.5 \n",
@@ -2103,16 +2103,16 @@
"3 0.5 5.5 \n",
"4 0.5 5.0 \n",
"... ... ... \n",
- "5710 0.5 5.0 \n",
- "5711 0.0 5.5 \n",
- "5712 0.0 5.0 \n",
- "5713 0.0 6.0 \n",
- "5714 0.0 6.0 \n",
+ "5987 0.5 5.5 \n",
+ "5988 0.0 6.0 \n",
+ "5989 0.0 6.0 \n",
+ "5990 0.0 6.0 \n",
+ "5991 0.0 10.0 \n",
"\n",
- "[5715 rows x 10 columns]"
+ "[5992 rows x 10 columns]"
]
},
- "execution_count": 61,
+ "execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
@@ -2132,7 +2132,7 @@
},
{
"cell_type": "code",
- "execution_count": 62,
+ "execution_count": 33,
"id": "ec0bc56b",
"metadata": {},
"outputs": [
@@ -2194,7 +2194,9 @@
"5400\n",
"5500\n",
"5600\n",
- "5700\n"
+ "5700\n",
+ "5800\n",
+ "5900\n"
]
}
],
@@ -2222,7 +2224,7 @@
},
{
"cell_type": "code",
- "execution_count": 63,
+ "execution_count": 17,
"id": "b292f9f9",
"metadata": {},
"outputs": [
@@ -2308,15 +2310,15 @@
" 0.0 \n",
" 10.0 \n",
" ... \n",
- " 0.007886 \n",
- " 0.001577 \n",
- " 0.006309 \n",
- " 0.006309 \n",
- " 0.014984 \n",
- " 0.011830 \n",
- " 0.364353 \n",
- " 0.008675 \n",
- " 0.016562 \n",
+ " 0.007364 \n",
+ " 0.001473 \n",
+ " 0.006627 \n",
+ " 0.005891 \n",
+ " 0.013991 \n",
+ " 0.011046 \n",
+ " 0.365243 \n",
+ " 0.008100 \n",
+ " 0.016200 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2332,15 +2334,15 @@
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.002257 \n",
- " 0.006772 \n",
- " 0.006772 \n",
- " 0.004515 \n",
- " 0.020316 \n",
- " 0.015801 \n",
- " 0.483070 \n",
- " 0.004515 \n",
- " 0.004515 \n",
+ " 0.001876 \n",
+ " 0.007505 \n",
+ " 0.005629 \n",
+ " 0.005629 \n",
+ " 0.022514 \n",
+ " 0.015009 \n",
+ " 0.487805 \n",
+ " 0.003752 \n",
+ " 0.003752 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2356,16 +2358,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.006304 \n",
- " 0.004728 \n",
- " 0.012608 \n",
- " 0.001576 \n",
- " 0.016548 \n",
- " 0.011032 \n",
- " 0.284476 \n",
- " 0.012608 \n",
- " 0.008668 \n",
- " 0.000788 \n",
+ " 0.005993 \n",
+ " 0.005243 \n",
+ " 0.013483 \n",
+ " 0.001498 \n",
+ " 0.016479 \n",
+ " 0.010487 \n",
+ " 0.283895 \n",
+ " 0.011985 \n",
+ " 0.009738 \n",
+ " 0.000749 \n",
" \n",
" \n",
" 4 \n",
@@ -2416,187 +2418,187 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.017045 \n",
- " 0.014205 \n",
- " 0.019886 \n",
- " 0.005682 \n",
- " 0.017045 \n",
- " 0.022727 \n",
- " 0.221591 \n",
- " 0.008523 \n",
- " 0.011364 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.008130 \n",
+ " 0.252033 \n",
+ " 0.008130 \n",
+ " 0.008130 \n",
" 0.000000 \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 0.012804 \n",
+ " 0.012164 \n",
+ " 0.011524 \n",
+ " 0.010243 \n",
+ " 0.010883 \n",
+ " 0.011524 \n",
+ " 0.213828 \n",
+ " 0.008323 \n",
+ " 0.014725 \n",
+ " 0.001921 \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 0.035088 \n",
- " 0.025341 \n",
- " 0.019493 \n",
- " 0.015595 \n",
- " 0.006823 \n",
- " 0.030214 \n",
- " 0.170565 \n",
- " 0.024366 \n",
- " 0.013645 \n",
- " 0.009747 \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.041667 \n",
- " 0.069444 \n",
- " 0.027778 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.027778 \n",
- " 0.208333 \n",
- " 0.013889 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.027027 \n",
- " 0.005690 \n",
- " 0.021337 \n",
- " 0.019915 \n",
- " 0.160740 \n",
- " 0.039829 \n",
- " 0.204836 \n",
- " 0.001422 \n",
- " 0.002845 \n",
- " 0.002845 \n",
+ " 0.035842 \n",
+ " 0.025986 \n",
+ " 0.018817 \n",
+ " 0.014337 \n",
+ " 0.008961 \n",
+ " 0.032258 \n",
+ " 0.170251 \n",
+ " 0.022401 \n",
+ " 0.013441 \n",
+ " 0.009857 \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 0.130435 \n",
+ " 0.043478 \n",
+ " 0.043478 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.130435 \n",
+ " 0.260870 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.043478 \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" ... \n",
+ " 0.011765 \n",
+ " 0.011765 \n",
" 0.000000 \n",
- " 0.055556 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.111111 \n",
- " 0.388889 \n",
- " 0.111111 \n",
- " 0.000000 \n",
- " 0.111111 \n",
+ " 0.023529 \n",
+ " 0.058824 \n",
+ " 0.058824 \n",
+ " 0.247059 \n",
+ " 0.035294 \n",
+ " 0.011765 \n",
+ " 0.023529 \n",
" \n",
" \n",
"\n",
- "5715 rows × 135 columns
\n",
+ "5992 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
" cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
"0 0.5 5.5 ... 0.000000 0.000000 0.000000 \n",
- "1 0.0 10.0 ... 0.007886 0.001577 0.006309 \n",
- "2 0.0 6.0 ... 0.002257 0.006772 0.006772 \n",
- "3 0.5 5.5 ... 0.006304 0.004728 0.012608 \n",
+ "1 0.0 10.0 ... 0.007364 0.001473 0.006627 \n",
+ "2 0.0 6.0 ... 0.001876 0.007505 0.005629 \n",
+ "3 0.5 5.5 ... 0.005993 0.005243 0.013483 \n",
"4 0.5 5.0 ... 0.013018 0.003550 0.015385 \n",
"... ... ... ... ... ... ... \n",
- "5710 0.5 5.0 ... 0.017045 0.014205 0.019886 \n",
- "5711 0.0 5.5 ... 0.035088 0.025341 0.019493 \n",
- "5712 0.0 5.0 ... 0.041667 0.069444 0.027778 \n",
- "5713 0.0 6.0 ... 0.027027 0.005690 0.021337 \n",
- "5714 0.0 6.0 ... 0.000000 0.055556 0.000000 \n",
+ "5987 0.5 5.5 ... 0.016260 0.024390 0.016260 \n",
+ "5988 0.0 6.0 ... 0.012804 0.012164 0.011524 \n",
+ "5989 0.0 6.0 ... 0.035842 0.025986 0.018817 \n",
+ "5990 0.0 6.0 ... 0.130435 0.043478 0.043478 \n",
+ "5991 0.0 10.0 ... 0.011765 0.011765 0.000000 \n",
"\n",
" fouled aerials_won aerials_lost carries progressive_carries \\\n",
"0 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
- "1 0.006309 0.014984 0.011830 0.364353 0.008675 \n",
- "2 0.004515 0.020316 0.015801 0.483070 0.004515 \n",
- "3 0.001576 0.016548 0.011032 0.284476 0.012608 \n",
+ "1 0.005891 0.013991 0.011046 0.365243 0.008100 \n",
+ "2 0.005629 0.022514 0.015009 0.487805 0.003752 \n",
+ "3 0.001498 0.016479 0.010487 0.283895 0.011985 \n",
"4 0.008284 0.047337 0.027219 0.269822 0.002367 \n",
"... ... ... ... ... ... \n",
- "5710 0.005682 0.017045 0.022727 0.221591 0.008523 \n",
- "5711 0.015595 0.006823 0.030214 0.170565 0.024366 \n",
- "5712 0.000000 0.000000 0.027778 0.208333 0.013889 \n",
- "5713 0.019915 0.160740 0.039829 0.204836 0.001422 \n",
- "5714 0.000000 0.000000 0.111111 0.388889 0.111111 \n",
+ "5987 0.024390 0.016260 0.008130 0.252033 0.008130 \n",
+ "5988 0.010243 0.010883 0.011524 0.213828 0.008323 \n",
+ "5989 0.014337 0.008961 0.032258 0.170251 0.022401 \n",
+ "5990 0.000000 0.000000 0.130435 0.260870 0.000000 \n",
+ "5991 0.023529 0.058824 0.058824 0.247059 0.035294 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
"0 0.000000 0.000000 \n",
- "1 0.016562 0.000000 \n",
- "2 0.004515 0.000000 \n",
- "3 0.008668 0.000788 \n",
+ "1 0.016200 0.000000 \n",
+ "2 0.003752 0.000000 \n",
+ "3 0.009738 0.000749 \n",
"4 0.004734 0.000000 \n",
"... ... ... \n",
- "5710 0.011364 0.000000 \n",
- "5711 0.013645 0.009747 \n",
- "5712 0.000000 0.000000 \n",
- "5713 0.002845 0.002845 \n",
- "5714 0.000000 0.111111 \n",
+ "5987 0.008130 0.000000 \n",
+ "5988 0.014725 0.001921 \n",
+ "5989 0.013441 0.009857 \n",
+ "5990 0.000000 0.043478 \n",
+ "5991 0.011765 0.023529 \n",
"\n",
- "[5715 rows x 135 columns]"
+ "[5992 rows x 122 columns]"
]
},
- "execution_count": 63,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -2615,7 +2617,7 @@
},
{
"cell_type": "code",
- "execution_count": 64,
+ "execution_count": 18,
"id": "1db9f77f",
"metadata": {},
"outputs": [],
@@ -2627,7 +2629,7 @@
},
{
"cell_type": "code",
- "execution_count": 65,
+ "execution_count": 19,
"id": "f56df3ca",
"metadata": {},
"outputs": [
@@ -2689,15 +2691,15 @@
" 0.0 \n",
" 10.0 \n",
" ... \n",
- " 0.007886 \n",
- " 0.001577 \n",
- " 0.006309 \n",
- " 0.006309 \n",
- " 0.014984 \n",
- " 0.011830 \n",
- " 0.364353 \n",
- " 0.008675 \n",
- " 0.016562 \n",
+ " 0.007364 \n",
+ " 0.001473 \n",
+ " 0.006627 \n",
+ " 0.005891 \n",
+ " 0.013991 \n",
+ " 0.011046 \n",
+ " 0.365243 \n",
+ " 0.008100 \n",
+ " 0.016200 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2713,15 +2715,15 @@
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.002257 \n",
- " 0.006772 \n",
- " 0.006772 \n",
- " 0.004515 \n",
- " 0.020316 \n",
- " 0.015801 \n",
- " 0.483070 \n",
- " 0.004515 \n",
- " 0.004515 \n",
+ " 0.001876 \n",
+ " 0.007505 \n",
+ " 0.005629 \n",
+ " 0.005629 \n",
+ " 0.022514 \n",
+ " 0.015009 \n",
+ " 0.487805 \n",
+ " 0.003752 \n",
+ " 0.003752 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -2737,16 +2739,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.006304 \n",
- " 0.004728 \n",
- " 0.012608 \n",
- " 0.001576 \n",
- " 0.016548 \n",
- " 0.011032 \n",
- " 0.284476 \n",
- " 0.012608 \n",
- " 0.008668 \n",
- " 0.000788 \n",
+ " 0.005993 \n",
+ " 0.005243 \n",
+ " 0.013483 \n",
+ " 0.001498 \n",
+ " 0.016479 \n",
+ " 0.010487 \n",
+ " 0.283895 \n",
+ " 0.011985 \n",
+ " 0.009738 \n",
+ " 0.000749 \n",
" \n",
" \n",
" 4 \n",
@@ -2785,16 +2787,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.027027 \n",
- " 0.009009 \n",
- " 0.018018 \n",
" 0.000000 \n",
- " 0.022523 \n",
- " 0.004505 \n",
- " 0.351351 \n",
- " 0.049550 \n",
- " 0.031532 \n",
- " 0.009009 \n",
+ " 0.000000 \n",
+ " 0.022222 \n",
+ " 0.000000 \n",
+ " 0.011111 \n",
+ " 0.022222 \n",
+ " 0.533333 \n",
+ " 0.066667 \n",
+ " 0.066667 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -2821,187 +2823,187 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" ... \n",
- " 0.017045 \n",
- " 0.014205 \n",
- " 0.019886 \n",
- " 0.005682 \n",
- " 0.017045 \n",
- " 0.022727 \n",
- " 0.221591 \n",
- " 0.008523 \n",
- " 0.011364 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.024390 \n",
+ " 0.016260 \n",
+ " 0.008130 \n",
+ " 0.252033 \n",
+ " 0.008130 \n",
+ " 0.008130 \n",
" 0.000000 \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 0.012804 \n",
+ " 0.012164 \n",
+ " 0.011524 \n",
+ " 0.010243 \n",
+ " 0.010883 \n",
+ " 0.011524 \n",
+ " 0.213828 \n",
+ " 0.008323 \n",
+ " 0.014725 \n",
+ " 0.001921 \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 0.035088 \n",
- " 0.025341 \n",
- " 0.019493 \n",
- " 0.015595 \n",
- " 0.006823 \n",
- " 0.030214 \n",
- " 0.170565 \n",
- " 0.024366 \n",
- " 0.013645 \n",
- " 0.009747 \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " 0.041667 \n",
- " 0.069444 \n",
- " 0.027778 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.027778 \n",
- " 0.208333 \n",
- " 0.013889 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.027027 \n",
- " 0.005690 \n",
- " 0.021337 \n",
- " 0.019915 \n",
- " 0.160740 \n",
- " 0.039829 \n",
- " 0.204836 \n",
- " 0.001422 \n",
- " 0.002845 \n",
- " 0.002845 \n",
+ " 0.035842 \n",
+ " 0.025986 \n",
+ " 0.018817 \n",
+ " 0.014337 \n",
+ " 0.008961 \n",
+ " 0.032258 \n",
+ " 0.170251 \n",
+ " 0.022401 \n",
+ " 0.013441 \n",
+ " 0.009857 \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " 0.130435 \n",
+ " 0.043478 \n",
+ " 0.043478 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.130435 \n",
+ " 0.260870 \n",
+ " 0.000000 \n",
+ " 0.000000 \n",
+ " 0.043478 \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" ... \n",
+ " 0.011765 \n",
+ " 0.011765 \n",
" 0.000000 \n",
- " 0.055556 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.111111 \n",
- " 0.388889 \n",
- " 0.111111 \n",
- " 0.000000 \n",
- " 0.111111 \n",
+ " 0.023529 \n",
+ " 0.058824 \n",
+ " 0.058824 \n",
+ " 0.247059 \n",
+ " 0.035294 \n",
+ " 0.011765 \n",
+ " 0.023529 \n",
" \n",
" \n",
"\n",
- "5069 rows × 135 columns
\n",
+ "5326 rows × 122 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "5 1 Zortea Atalanta Sampdoria 0 6.0 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "5 1 Zortea Atalanta Sampdoria 0 6.0 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
" cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
- "1 0.0 10.0 ... 0.007886 0.001577 0.006309 \n",
- "2 0.0 6.0 ... 0.002257 0.006772 0.006772 \n",
- "3 0.5 5.5 ... 0.006304 0.004728 0.012608 \n",
+ "1 0.0 10.0 ... 0.007364 0.001473 0.006627 \n",
+ "2 0.0 6.0 ... 0.001876 0.007505 0.005629 \n",
+ "3 0.5 5.5 ... 0.005993 0.005243 0.013483 \n",
"4 0.5 5.0 ... 0.013018 0.003550 0.015385 \n",
- "5 0.5 5.5 ... 0.027027 0.009009 0.018018 \n",
+ "5 0.5 5.5 ... 0.000000 0.000000 0.022222 \n",
"... ... ... ... ... ... ... \n",
- "5710 0.5 5.0 ... 0.017045 0.014205 0.019886 \n",
- "5711 0.0 5.5 ... 0.035088 0.025341 0.019493 \n",
- "5712 0.0 5.0 ... 0.041667 0.069444 0.027778 \n",
- "5713 0.0 6.0 ... 0.027027 0.005690 0.021337 \n",
- "5714 0.0 6.0 ... 0.000000 0.055556 0.000000 \n",
+ "5987 0.5 5.5 ... 0.016260 0.024390 0.016260 \n",
+ "5988 0.0 6.0 ... 0.012804 0.012164 0.011524 \n",
+ "5989 0.0 6.0 ... 0.035842 0.025986 0.018817 \n",
+ "5990 0.0 6.0 ... 0.130435 0.043478 0.043478 \n",
+ "5991 0.0 10.0 ... 0.011765 0.011765 0.000000 \n",
"\n",
" fouled aerials_won aerials_lost carries progressive_carries \\\n",
- "1 0.006309 0.014984 0.011830 0.364353 0.008675 \n",
- "2 0.004515 0.020316 0.015801 0.483070 0.004515 \n",
- "3 0.001576 0.016548 0.011032 0.284476 0.012608 \n",
+ "1 0.005891 0.013991 0.011046 0.365243 0.008100 \n",
+ "2 0.005629 0.022514 0.015009 0.487805 0.003752 \n",
+ "3 0.001498 0.016479 0.010487 0.283895 0.011985 \n",
"4 0.008284 0.047337 0.027219 0.269822 0.002367 \n",
- "5 0.000000 0.022523 0.004505 0.351351 0.049550 \n",
+ "5 0.000000 0.011111 0.022222 0.533333 0.066667 \n",
"... ... ... ... ... ... \n",
- "5710 0.005682 0.017045 0.022727 0.221591 0.008523 \n",
- "5711 0.015595 0.006823 0.030214 0.170565 0.024366 \n",
- "5712 0.000000 0.000000 0.027778 0.208333 0.013889 \n",
- "5713 0.019915 0.160740 0.039829 0.204836 0.001422 \n",
- "5714 0.000000 0.000000 0.111111 0.388889 0.111111 \n",
+ "5987 0.024390 0.016260 0.008130 0.252033 0.008130 \n",
+ "5988 0.010243 0.010883 0.011524 0.213828 0.008323 \n",
+ "5989 0.014337 0.008961 0.032258 0.170251 0.022401 \n",
+ "5990 0.000000 0.000000 0.130435 0.260870 0.000000 \n",
+ "5991 0.023529 0.058824 0.058824 0.247059 0.035294 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
- "1 0.016562 0.000000 \n",
- "2 0.004515 0.000000 \n",
- "3 0.008668 0.000788 \n",
+ "1 0.016200 0.000000 \n",
+ "2 0.003752 0.000000 \n",
+ "3 0.009738 0.000749 \n",
"4 0.004734 0.000000 \n",
- "5 0.031532 0.009009 \n",
+ "5 0.066667 0.000000 \n",
"... ... ... \n",
- "5710 0.011364 0.000000 \n",
- "5711 0.013645 0.009747 \n",
- "5712 0.000000 0.000000 \n",
- "5713 0.002845 0.002845 \n",
- "5714 0.000000 0.111111 \n",
+ "5987 0.008130 0.000000 \n",
+ "5988 0.014725 0.001921 \n",
+ "5989 0.013441 0.009857 \n",
+ "5990 0.000000 0.043478 \n",
+ "5991 0.011765 0.023529 \n",
"\n",
- "[5069 rows x 135 columns]"
+ "[5326 rows x 122 columns]"
]
},
- "execution_count": 65,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -3020,7 +3022,7 @@
},
{
"cell_type": "code",
- "execution_count": 66,
+ "execution_count": 20,
"id": "df26c8e0",
"metadata": {},
"outputs": [],
@@ -3187,7 +3189,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 34,
"id": "01bb7413",
"metadata": {},
"outputs": [
@@ -3262,7 +3264,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 23,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
@@ -3281,7 +3283,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 35,
"id": "02f961d8",
"metadata": {},
"outputs": [],
@@ -3316,7 +3318,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -3333,8 +3335,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -3349,7 +3351,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -3366,8 +3368,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -3394,7 +3396,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 36,
"id": "5e3694a0",
"metadata": {},
"outputs": [],
@@ -3418,7 +3420,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 37,
"id": "9b671646",
"metadata": {},
"outputs": [
@@ -3469,59 +3471,59 @@
" \n",
" \n",
" Consigli \n",
- " 18.0 \n",
- " 18.0 \n",
- " 1620.0 \n",
- " 1.56 \n",
- " 56.9 \n",
- " 27.8 \n",
- " -0.29 \n",
- " 42.1 \n",
- " 31.8 \n",
- " 34.6 \n",
+ " 19 \n",
+ " 19 \n",
+ " 1710 \n",
+ " 1.47 \n",
+ " 58.3 \n",
+ " 31.6 \n",
+ " -0.25 \n",
+ " 41.6 \n",
+ " 31.0 \n",
+ " 34.3 \n",
" ... \n",
- " 22.8 \n",
- " 0.36 \n",
- " -5.2 \n",
- " 110.0 \n",
- " 261.0 \n",
- " 651.0 \n",
- " 95.0 \n",
- " 167.0 \n",
- " 236.0 \n",
- " 14.0 \n",
+ " 23.3 \n",
+ " 0.35 \n",
+ " -4.7 \n",
+ " 112.0 \n",
+ " 269.0 \n",
+ " 686.0 \n",
+ " 99.0 \n",
+ " 172.0 \n",
+ " 255.0 \n",
+ " 16.0 \n",
" \n",
" \n",
"\n",
- "1 rows × 98 columns
\n",
+ "1 rows × 92 columns
\n",
""
],
"text/plain": [
" gk_games gk_games_starts gk_minutes gk_goals_against_per90 \\\n",
- "Consigli 18.0 18.0 1620.0 1.56 \n",
+ "Consigli 19 19 1710 1.47 \n",
"\n",
" gk_save_pct gk_clean_sheets_pct gk_psxg_net_per90 \\\n",
- "Consigli 56.9 27.8 -0.29 \n",
+ "Consigli 58.3 31.6 -0.25 \n",
"\n",
" gk_passes_pct_launched gk_pct_passes_launched \\\n",
- "Consigli 42.1 31.8 \n",
+ "Consigli 41.6 31.0 \n",
"\n",
" gk_passes_length_avg ... gk_psxg \\\n",
- "Consigli 34.6 ... 22.8 \n",
+ "Consigli 34.3 ... 23.3 \n",
"\n",
" gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "Consigli 0.36 -5.2 \n",
+ "Consigli 0.35 -4.7 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "Consigli 110.0 261.0 651.0 \n",
+ "Consigli 112.0 269.0 686.0 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "Consigli 95.0 167.0 236.0 14.0 \n",
+ "Consigli 99.0 172.0 255.0 16.0 \n",
"\n",
- "[1 rows x 98 columns]"
+ "[1 rows x 92 columns]"
]
},
- "execution_count": 26,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
@@ -3536,7 +3538,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 38,
"id": "33f805a9",
"metadata": {},
"outputs": [
@@ -3601,7 +3603,9 @@
"5400\n",
"5500\n",
"5600\n",
- "5700\n"
+ "5700\n",
+ "5800\n",
+ "5900\n"
]
}
],
@@ -3631,7 +3635,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 39,
"id": "4d484846",
"metadata": {},
"outputs": [
@@ -3693,16 +3697,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 11.1 \n",
- " 0.22 \n",
- " -1.9 \n",
- " 79.0 \n",
- " 172.0 \n",
- " 340.0 \n",
+ " 12.7 \n",
+ " 0.21 \n",
+ " -1.3 \n",
+ " 81.0 \n",
+ " 185.0 \n",
+ " 372.0 \n",
+ " 107.0 \n",
" 98.0 \n",
- " 92.0 \n",
- " 161.0 \n",
- " 8.0 \n",
+ " 174.0 \n",
+ " 10.0 \n",
" \n",
" \n",
" 1 \n",
@@ -3825,17 +3829,17 @@
" ... \n",
" \n",
" \n",
- " 5710 \n",
- " 20 \n",
- " Sulemana I. \n",
+ " 5987 \n",
+ " 21 \n",
+ " Duda \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
" 0 \n",
" 0 \n",
" 0.5 \n",
- " 5.0 \n",
+ " 5.5 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3849,60 +3853,36 @@
" NaN \n",
" \n",
" \n",
- " 5711 \n",
- " 20 \n",
+ " 5988 \n",
+ " 21 \n",
+ " Tameze \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 5989 \n",
+ " 21 \n",
" Lasagna \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.5 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " \n",
- " \n",
- " 5712 \n",
- " 20 \n",
- " Braaf \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 5.0 \n",
- " 0 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " ... \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " NaN \n",
- " \n",
- " \n",
- " 5713 \n",
- " 20 \n",
- " Djuric \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
" 6.0 \n",
" 0 \n",
" 0 \n",
@@ -3921,17 +3901,41 @@
" NaN \n",
" \n",
" \n",
- " 5714 \n",
- " 20 \n",
+ " 5990 \n",
+ " 21 \n",
+ " Gaich \n",
+ " Verona \n",
+ " Lazio \n",
+ " 1 \n",
+ " 6.0 \n",
+ " 0 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 6.0 \n",
+ " ... \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " NaN \n",
+ " \n",
+ " \n",
+ " 5991 \n",
+ " 21 \n",
" Ngonge \n",
" Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.0 \n",
- " 0 \n",
+ " Lazio \n",
+ " 1 \n",
+ " 7.0 \n",
+ " 1 \n",
" 0 \n",
" 0.0 \n",
- " 6.0 \n",
+ " 10.0 \n",
" ... \n",
" NaN \n",
" NaN \n",
@@ -3946,79 +3950,79 @@
" \n",
" \n",
"\n",
- "5715 rows × 108 columns
\n",
+ "5992 rows × 102 columns
\n",
""
],
"text/plain": [
- " matchday player team oppteam home vote goals assists \\\n",
- "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
- "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
- "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
- "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
- "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "5710 20 Sulemana I. Verona Udinese 0 5.5 0 0 \n",
- "5711 20 Lasagna Verona Udinese 0 5.5 0 0 \n",
- "5712 20 Braaf Verona Udinese 0 5.0 0 0 \n",
- "5713 20 Djuric Verona Udinese 0 6.0 0 0 \n",
- "5714 20 Ngonge Verona Udinese 0 6.0 0 0 \n",
+ " matchday player team oppteam home vote goals assists \\\n",
+ "0 1 Musso Atalanta Sampdoria 0 6.0 0 0 \n",
+ "1 1 Toloi Atalanta Sampdoria 0 7.0 1 0 \n",
+ "2 1 Djimsiti Atalanta Sampdoria 0 6.0 0 0 \n",
+ "3 1 Hateboer Atalanta Sampdoria 0 6.0 0 0 \n",
+ "4 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
+ "... ... ... ... ... ... ... ... ... \n",
+ "5987 21 Duda Verona Lazio 1 6.0 0 0 \n",
+ "5988 21 Tameze Verona Lazio 1 6.0 0 0 \n",
+ "5989 21 Lasagna Verona Lazio 1 6.0 0 0 \n",
+ "5990 21 Gaich Verona Lazio 1 6.0 0 0 \n",
+ "5991 21 Ngonge Verona Lazio 1 7.0 1 0 \n",
"\n",
- " cards_malus fantavote ... gk_psxg \\\n",
- "0 0.5 5.5 ... 11.1 \n",
- "1 0.0 10.0 ... NaN \n",
- "2 0.0 6.0 ... NaN \n",
- "3 0.5 5.5 ... NaN \n",
- "4 0.5 5.0 ... NaN \n",
- "... ... ... ... ... \n",
- "5710 0.5 5.0 ... NaN \n",
- "5711 0.0 5.5 ... NaN \n",
- "5712 0.0 5.0 ... NaN \n",
- "5713 0.0 6.0 ... NaN \n",
- "5714 0.0 6.0 ... NaN \n",
+ " cards_malus fantavote ... gk_psxg \\\n",
+ "0 0.5 5.5 ... 12.7 \n",
+ "1 0.0 10.0 ... NaN \n",
+ "2 0.0 6.0 ... NaN \n",
+ "3 0.5 5.5 ... NaN \n",
+ "4 0.5 5.0 ... NaN \n",
+ "... ... ... ... ... \n",
+ "5987 0.5 5.5 ... NaN \n",
+ "5988 0.0 6.0 ... NaN \n",
+ "5989 0.0 6.0 ... NaN \n",
+ "5990 0.0 6.0 ... NaN \n",
+ "5991 0.0 10.0 ... NaN \n",
"\n",
- " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.22 -1.9 \n",
- "1 NaN NaN \n",
- "2 NaN NaN \n",
- "3 NaN NaN \n",
- "4 NaN NaN \n",
- "... ... ... \n",
- "5710 NaN NaN \n",
- "5711 NaN NaN \n",
- "5712 NaN NaN \n",
- "5713 NaN NaN \n",
- "5714 NaN NaN \n",
+ " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
+ "0 0.21 -1.3 \n",
+ "1 NaN NaN \n",
+ "2 NaN NaN \n",
+ "3 NaN NaN \n",
+ "4 NaN NaN \n",
+ "... ... ... \n",
+ "5987 NaN NaN \n",
+ "5988 NaN NaN \n",
+ "5989 NaN NaN \n",
+ "5990 NaN NaN \n",
+ "5991 NaN NaN \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 79.0 172.0 340.0 \n",
+ "0 81.0 185.0 372.0 \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"... ... ... ... \n",
- "5710 NaN NaN NaN \n",
- "5711 NaN NaN NaN \n",
- "5712 NaN NaN NaN \n",
- "5713 NaN NaN NaN \n",
- "5714 NaN NaN NaN \n",
+ "5987 NaN NaN NaN \n",
+ "5988 NaN NaN NaN \n",
+ "5989 NaN NaN NaN \n",
+ "5990 NaN NaN NaN \n",
+ "5991 NaN NaN NaN \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 98.0 92.0 161.0 8.0 \n",
+ "0 107.0 98.0 174.0 10.0 \n",
"1 NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN \n",
"3 NaN NaN NaN NaN \n",
"4 NaN NaN NaN NaN \n",
"... ... ... ... ... \n",
- "5710 NaN NaN NaN NaN \n",
- "5711 NaN NaN NaN NaN \n",
- "5712 NaN NaN NaN NaN \n",
- "5713 NaN NaN NaN NaN \n",
- "5714 NaN NaN NaN NaN \n",
+ "5987 NaN NaN NaN NaN \n",
+ "5988 NaN NaN NaN NaN \n",
+ "5989 NaN NaN NaN NaN \n",
+ "5990 NaN NaN NaN NaN \n",
+ "5991 NaN NaN NaN NaN \n",
"\n",
- "[5715 rows x 108 columns]"
+ "[5992 rows x 102 columns]"
]
},
- "execution_count": 28,
+ "execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
@@ -4029,7 +4033,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 40,
"id": "adab3577",
"metadata": {},
"outputs": [],
@@ -4039,7 +4043,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 41,
"id": "e7ae792d",
"metadata": {},
"outputs": [
@@ -4101,16 +4105,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 11.10 \n",
- " 0.220 \n",
- " -1.90 \n",
- " 79.0 \n",
- " 172.0 \n",
- " 340.0 \n",
+ " 12.70 \n",
+ " 0.21 \n",
+ " -1.30 \n",
+ " 81.0 \n",
+ " 185.0 \n",
+ " 372.0 \n",
+ " 107.0 \n",
" 98.0 \n",
- " 92.0 \n",
- " 161.0 \n",
- " 8.0 \n",
+ " 174.0 \n",
+ " 10.0 \n",
" \n",
" \n",
" 15 \n",
@@ -4125,15 +4129,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 28.70 \n",
- " 0.280 \n",
- " 0.70 \n",
- " 86.0 \n",
- " 220.0 \n",
- " 545.0 \n",
- " 116.0 \n",
- " 141.0 \n",
- " 280.0 \n",
+ " 30.80 \n",
+ " 0.28 \n",
+ " 1.80 \n",
+ " 99.0 \n",
+ " 240.0 \n",
+ " 563.0 \n",
+ " 117.0 \n",
+ " 153.0 \n",
+ " 299.0 \n",
" 18.0 \n",
" \n",
" \n",
@@ -4149,15 +4153,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 25.00 \n",
- " 0.270 \n",
- " 1.00 \n",
- " 101.0 \n",
- " 307.0 \n",
- " 740.0 \n",
- " 112.0 \n",
- " 107.0 \n",
- " 412.0 \n",
+ " 26.40 \n",
+ " 0.27 \n",
+ " 0.40 \n",
+ " 102.0 \n",
+ " 310.0 \n",
+ " 766.0 \n",
+ " 113.0 \n",
+ " 108.0 \n",
+ " 426.0 \n",
" 25.0 \n",
" \n",
" \n",
@@ -4173,15 +4177,15 @@
" 0.0 \n",
" 3.0 \n",
" ... \n",
- " 9.15 \n",
- " 0.245 \n",
- " 0.65 \n",
- " 23.5 \n",
- " 66.5 \n",
- " 279.5 \n",
- " 44.5 \n",
- " 64.5 \n",
- " 118.5 \n",
+ " 9.35 \n",
+ " 0.24 \n",
+ " 0.85 \n",
+ " 24.0 \n",
+ " 68.0 \n",
+ " 291.5 \n",
+ " 47.0 \n",
+ " 69.5 \n",
+ " 122.5 \n",
" 3.5 \n",
" \n",
" \n",
@@ -4198,7 +4202,7 @@
" 5.5 \n",
" ... \n",
" 10.60 \n",
- " 0.300 \n",
+ " 0.30 \n",
" -1.40 \n",
" 27.0 \n",
" 52.0 \n",
@@ -4233,83 +4237,107 @@
" ... \n",
" \n",
" \n",
- " 5645 \n",
- " 20 \n",
+ " 5929 \n",
+ " 21 \n",
" Consigli \n",
" Sassuolo \n",
- " Milan \n",
- " 0 \n",
+ " Atalanta \n",
+ " 1 \n",
" 6.0 \n",
- " -2 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 4.0 \n",
+ " 6.0 \n",
" ... \n",
- " 22.80 \n",
- " 0.360 \n",
- " -5.20 \n",
- " 110.0 \n",
- " 261.0 \n",
- " 651.0 \n",
- " 95.0 \n",
- " 167.0 \n",
- " 236.0 \n",
- " 14.0 \n",
+ " 23.30 \n",
+ " 0.35 \n",
+ " -4.70 \n",
+ " 112.0 \n",
+ " 269.0 \n",
+ " 686.0 \n",
+ " 99.0 \n",
+ " 172.0 \n",
+ " 255.0 \n",
+ " 16.0 \n",
" \n",
" \n",
- " 5658 \n",
- " 20 \n",
+ " 5942 \n",
+ " 21 \n",
" Dragowski \n",
" Spezia \n",
- " Bologna \n",
- " 0 \n",
- " 6.5 \n",
- " -2 \n",
+ " Napoli \n",
+ " 1 \n",
+ " 5.0 \n",
+ " -3 \n",
" 0 \n",
" 0.0 \n",
- " 4.5 \n",
+ " 2.0 \n",
" ... \n",
- " 26.00 \n",
- " 0.280 \n",
- " -3.00 \n",
+ " 28.10 \n",
+ " 0.27 \n",
+ " -3.90 \n",
" 85.0 \n",
- " 255.0 \n",
- " 479.0 \n",
- " 87.0 \n",
- " 106.0 \n",
- " 235.0 \n",
+ " 268.0 \n",
+ " 503.0 \n",
+ " 92.0 \n",
+ " 109.0 \n",
+ " 251.0 \n",
" 9.0 \n",
" \n",
" \n",
- " 5673 \n",
- " 20 \n",
+ " 5953 \n",
+ " 21 \n",
" Milinkovic-Savic V. \n",
" Torino \n",
- " Empoli \n",
+ " Udinese \n",
+ " 1 \n",
+ " 6.5 \n",
" 0 \n",
- " 5.5 \n",
- " -2 \n",
" 0 \n",
" 0.0 \n",
- " 3.5 \n",
+ " 6.5 \n",
" ... \n",
- " 21.30 \n",
- " 0.240 \n",
- " -0.70 \n",
- " 145.0 \n",
- " 510.0 \n",
- " 763.0 \n",
- " 87.0 \n",
- " 149.0 \n",
- " 244.0 \n",
+ " 21.90 \n",
+ " 0.23 \n",
+ " -0.10 \n",
+ " 148.0 \n",
+ " 524.0 \n",
+ " 788.0 \n",
+ " 95.0 \n",
+ " 155.0 \n",
+ " 263.0 \n",
" 18.0 \n",
" \n",
" \n",
- " 5688 \n",
- " 20 \n",
+ " 5966 \n",
+ " 21 \n",
" Silvestri \n",
" Udinese \n",
+ " Torino \n",
+ " 0 \n",
+ " 6.5 \n",
+ " -1 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 23.90 \n",
+ " 0.31 \n",
+ " 1.90 \n",
+ " 90.0 \n",
+ " 225.0 \n",
+ " 450.0 \n",
+ " 76.0 \n",
+ " 164.0 \n",
+ " 275.0 \n",
+ " 5.0 \n",
+ " \n",
+ " \n",
+ " 5980 \n",
+ " 21 \n",
+ " Montipo' \n",
" Verona \n",
+ " Lazio \n",
" 1 \n",
" 6.0 \n",
" -1 \n",
@@ -4317,44 +4345,20 @@
" 0.0 \n",
" 5.0 \n",
" ... \n",
- " 22.60 \n",
- " 0.320 \n",
- " 1.60 \n",
- " 83.0 \n",
- " 211.0 \n",
- " 432.0 \n",
- " 74.0 \n",
- " 154.0 \n",
- " 263.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 5700 \n",
- " 20 \n",
- " Montipo' \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 26.80 \n",
- " 0.250 \n",
- " -4.20 \n",
- " 187.0 \n",
- " 374.0 \n",
- " 462.0 \n",
- " 64.0 \n",
- " 159.0 \n",
- " 279.0 \n",
- " 12.0 \n",
+ " 27.60 \n",
+ " 0.25 \n",
+ " -4.40 \n",
+ " 206.0 \n",
+ " 413.0 \n",
+ " 497.0 \n",
+ " 65.0 \n",
+ " 168.0 \n",
+ " 294.0 \n",
+ " 15.0 \n",
" \n",
" \n",
"\n",
- "395 rows × 108 columns
\n",
+ "415 rows × 102 columns
\n",
""
],
"text/plain": [
@@ -4365,68 +4369,68 @@
"57 1 Gollini Fiorentina Cremonese 1 5.0 -2 \n",
"71 1 Handanovic Inter Lecce 0 6.5 -1 \n",
"... ... ... ... ... ... ... ... \n",
- "5645 20 Consigli Sassuolo Milan 0 6.0 -2 \n",
- "5658 20 Dragowski Spezia Bologna 0 6.5 -2 \n",
- "5673 20 Milinkovic-Savic V. Torino Empoli 0 5.5 -2 \n",
- "5688 20 Silvestri Udinese Verona 1 6.0 -1 \n",
- "5700 20 Montipo' Verona Udinese 0 6.5 -1 \n",
+ "5929 21 Consigli Sassuolo Atalanta 1 6.0 0 \n",
+ "5942 21 Dragowski Spezia Napoli 1 5.0 -3 \n",
+ "5953 21 Milinkovic-Savic V. Torino Udinese 1 6.5 0 \n",
+ "5966 21 Silvestri Udinese Torino 0 6.5 -1 \n",
+ "5980 21 Montipo' Verona Lazio 1 6.0 -1 \n",
"\n",
- " assists cards_malus fantavote ... gk_psxg \\\n",
- "0 0 0.5 5.5 ... 11.10 \n",
- "15 0 0.0 4.5 ... 28.70 \n",
- "44 0 0.0 4.5 ... 25.00 \n",
- "57 0 0.0 3.0 ... 9.15 \n",
- "71 0 0.0 5.5 ... 10.60 \n",
- "... ... ... ... ... ... \n",
- "5645 0 0.0 4.0 ... 22.80 \n",
- "5658 0 0.0 4.5 ... 26.00 \n",
- "5673 0 0.0 3.5 ... 21.30 \n",
- "5688 0 0.0 5.0 ... 22.60 \n",
- "5700 0 0.0 5.5 ... 26.80 \n",
+ " assists cards_malus fantavote ... gk_psxg \\\n",
+ "0 0 0.5 5.5 ... 12.70 \n",
+ "15 0 0.0 4.5 ... 30.80 \n",
+ "44 0 0.0 4.5 ... 26.40 \n",
+ "57 0 0.0 3.0 ... 9.35 \n",
+ "71 0 0.0 5.5 ... 10.60 \n",
+ "... ... ... ... ... ... \n",
+ "5929 0 0.0 6.0 ... 23.30 \n",
+ "5942 0 0.0 2.0 ... 28.10 \n",
+ "5953 0 0.0 6.5 ... 21.90 \n",
+ "5966 0 0.0 5.5 ... 23.90 \n",
+ "5980 0 0.0 5.0 ... 27.60 \n",
"\n",
- " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.220 -1.90 \n",
- "15 0.280 0.70 \n",
- "44 0.270 1.00 \n",
- "57 0.245 0.65 \n",
- "71 0.300 -1.40 \n",
- "... ... ... \n",
- "5645 0.360 -5.20 \n",
- "5658 0.280 -3.00 \n",
- "5673 0.240 -0.70 \n",
- "5688 0.320 1.60 \n",
- "5700 0.250 -4.20 \n",
+ " gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
+ "0 0.21 -1.30 \n",
+ "15 0.28 1.80 \n",
+ "44 0.27 0.40 \n",
+ "57 0.24 0.85 \n",
+ "71 0.30 -1.40 \n",
+ "... ... ... \n",
+ "5929 0.35 -4.70 \n",
+ "5942 0.27 -3.90 \n",
+ "5953 0.23 -0.10 \n",
+ "5966 0.31 1.90 \n",
+ "5980 0.25 -4.40 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 79.0 172.0 340.0 \n",
- "15 86.0 220.0 545.0 \n",
- "44 101.0 307.0 740.0 \n",
- "57 23.5 66.5 279.5 \n",
+ "0 81.0 185.0 372.0 \n",
+ "15 99.0 240.0 563.0 \n",
+ "44 102.0 310.0 766.0 \n",
+ "57 24.0 68.0 291.5 \n",
"71 27.0 52.0 266.0 \n",
"... ... ... ... \n",
- "5645 110.0 261.0 651.0 \n",
- "5658 85.0 255.0 479.0 \n",
- "5673 145.0 510.0 763.0 \n",
- "5688 83.0 211.0 432.0 \n",
- "5700 187.0 374.0 462.0 \n",
+ "5929 112.0 269.0 686.0 \n",
+ "5942 85.0 268.0 503.0 \n",
+ "5953 148.0 524.0 788.0 \n",
+ "5966 90.0 225.0 450.0 \n",
+ "5980 206.0 413.0 497.0 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 98.0 92.0 161.0 8.0 \n",
- "15 116.0 141.0 280.0 18.0 \n",
- "44 112.0 107.0 412.0 25.0 \n",
- "57 44.5 64.5 118.5 3.5 \n",
+ "0 107.0 98.0 174.0 10.0 \n",
+ "15 117.0 153.0 299.0 18.0 \n",
+ "44 113.0 108.0 426.0 25.0 \n",
+ "57 47.0 69.5 122.5 3.5 \n",
"71 46.0 45.0 79.0 2.0 \n",
"... ... ... ... ... \n",
- "5645 95.0 167.0 236.0 14.0 \n",
- "5658 87.0 106.0 235.0 9.0 \n",
- "5673 87.0 149.0 244.0 18.0 \n",
- "5688 74.0 154.0 263.0 5.0 \n",
- "5700 64.0 159.0 279.0 12.0 \n",
+ "5929 99.0 172.0 255.0 16.0 \n",
+ "5942 92.0 109.0 251.0 9.0 \n",
+ "5953 95.0 155.0 263.0 18.0 \n",
+ "5966 76.0 164.0 275.0 5.0 \n",
+ "5980 65.0 168.0 294.0 15.0 \n",
"\n",
- "[395 rows x 108 columns]"
+ "[415 rows x 102 columns]"
]
},
- "execution_count": 30,
+ "execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
@@ -4445,7 +4449,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 42,
"id": "d8b8b6da",
"metadata": {},
"outputs": [],
diff --git a/4b_player_match_dataset_creation_oldseasons.ipynb b/4b_player_match_dataset_creation_oldseasons.ipynb
index 66e3203..6a0ff3a 100644
--- a/4b_player_match_dataset_creation_oldseasons.ipynb
+++ b/4b_player_match_dataset_creation_oldseasons.ipynb
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 53,
"id": "8a74364d",
"metadata": {},
"outputs": [],
@@ -22,7 +22,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 54,
"id": "8a6867a5",
"metadata": {},
"outputs": [
@@ -30,7 +30,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_5084\\813865162.py:21: SettingWithCopyWarning: \n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_7860\\813865162.py:21: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
@@ -588,7 +588,7 @@
" \n",
" \n",
"\n",
- "20 rows × 321 columns
\n",
+ "20 rows × 303 columns
\n",
""
],
"text/plain": [
@@ -730,10 +730,10 @@
"Torino 595.0 51.1 \n",
"Udinese 491.0 47.4 \n",
"\n",
- "[20 rows x 321 columns]"
+ "[20 rows x 303 columns]"
]
},
- "execution_count": 18,
+ "execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
@@ -769,7 +769,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 55,
"id": "b6a3db98",
"metadata": {},
"outputs": [],
@@ -779,7 +779,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 56,
"id": "c34eb398",
"metadata": {},
"outputs": [
@@ -1017,8 +1017,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.027304 \n",
- " 0.472755 \n",
+ " 6.112216 \n",
+ " 0.535288 \n",
" \n",
" \n",
" Oddei \n",
@@ -1041,8 +1041,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.207968 \n",
- " 0.447162 \n",
+ " 6.153091 \n",
+ " 0.381442 \n",
" \n",
" \n",
" Karamoko Is. \n",
@@ -1065,8 +1065,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.186813 \n",
- " 0.444240 \n",
+ " 6.042560 \n",
+ " 0.412530 \n",
" \n",
" \n",
" Correia \n",
@@ -1089,8 +1089,8 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.600386 \n",
- " 0.396770 \n",
+ " 6.286596 \n",
+ " 0.267071 \n",
" \n",
" \n",
" Raimondo \n",
@@ -1113,12 +1113,12 @@
" 0.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 6.209072 \n",
- " 0.275318 \n",
+ " 6.363572 \n",
+ " 0.428066 \n",
" \n",
" \n",
"\n",
- "564 rows × 169 columns
\n",
+ "564 rows × 160 columns
\n",
""
],
"text/plain": [
@@ -1200,16 +1200,16 @@
"Gollini 17.4 6.100000 0.632456 \n",
"Audero 14.8 6.378378 0.409439 \n",
"... ... ... ... \n",
- "Rabbi 0.0 6.027304 0.472755 \n",
- "Oddei 0.0 6.207968 0.447162 \n",
- "Karamoko Is. 0.0 6.186813 0.444240 \n",
- "Correia 0.0 6.600386 0.396770 \n",
- "Raimondo 0.0 6.209072 0.275318 \n",
+ "Rabbi 0.0 6.112216 0.535288 \n",
+ "Oddei 0.0 6.153091 0.381442 \n",
+ "Karamoko Is. 0.0 6.042560 0.412530 \n",
+ "Correia 0.0 6.286596 0.267071 \n",
+ "Raimondo 0.0 6.363572 0.428066 \n",
"\n",
- "[564 rows x 169 columns]"
+ "[564 rows x 160 columns]"
]
},
- "execution_count": 20,
+ "execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
@@ -1223,7 +1223,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 57,
"id": "f9f7f88c",
"metadata": {},
"outputs": [],
@@ -1248,7 +1248,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 58,
"id": "7eb4e666",
"metadata": {},
"outputs": [
@@ -1323,7 +1323,7 @@
" \n",
" \n",
"\n",
- "1 rows × 811 columns
\n",
+ "1 rows × 766 columns
\n",
""
],
"text/plain": [
@@ -1345,10 +1345,10 @@
" opp_vs_team_aerials_lost opp_vs_team_aerials_won_pct \n",
"Immobile 633.0 44.4 \n",
"\n",
- "[1 rows x 811 columns]"
+ "[1 rows x 766 columns]"
]
},
- "execution_count": 22,
+ "execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
@@ -1362,7 +1362,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 59,
"id": "6b4c1b00",
"metadata": {},
"outputs": [
@@ -1372,7 +1372,7 @@
"'Lazio'"
]
},
- "execution_count": 23,
+ "execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
@@ -1385,7 +1385,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 60,
"id": "6ea6df1f",
"metadata": {},
"outputs": [
@@ -1485,7 +1485,7 @@
" 'vs_team_aerials_won_pct']"
]
},
- "execution_count": 24,
+ "execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
@@ -1504,7 +1504,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 61,
"id": "47bc651f",
"metadata": {},
"outputs": [],
@@ -1517,8 +1517,8 @@
" 'goals_per_shot',\n",
" 'goals_per_shot_on_target',\n",
" 'passes_pct',\n",
- " 'dribble_tackles_pct',\n",
- " 'dribbles_completed_pct',\n",
+ " #'dribble_tackles_pct',\n",
+ " #'dribbles_completed_pct',\n",
" 'aerials_won_pct',\n",
" 'team_possession',\n",
" 'team_goals_assists_per90',\n",
@@ -1533,7 +1533,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -1550,8 +1550,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -1566,7 +1566,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -1583,8 +1583,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -1608,9 +1608,9 @@
" 'passes_switches',\n",
" 'crosses',\n",
" 'corner_kicks',\n",
- " 'dribble_tackles',\n",
- " 'dribbles_vs',\n",
- " 'dribbled_past',\n",
+ " #'dribble_tackles',\n",
+ " #'dribbles_vs',\n",
+ " #'dribbled_past',\n",
" 'blocks',\n",
" 'blocked_shots',\n",
" 'blocked_passes',\n",
@@ -1624,8 +1624,8 @@
" 'touches_att_3rd',\n",
" 'touches_att_pen_area',\n",
" 'touches_live_ball',\n",
- " 'dribbles_completed',\n",
- " 'dribbles',\n",
+ " #'dribbles_completed',\n",
+ " #'dribbles',\n",
" 'passes_received',\n",
" 'miscontrols',\n",
" 'dispossessed',\n",
@@ -1650,7 +1650,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 62,
"id": "3f43d509",
"metadata": {},
"outputs": [],
@@ -1673,7 +1673,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 63,
"id": "930d00c7",
"metadata": {},
"outputs": [
@@ -1706,8 +1706,8 @@
" goals_per_shot \n",
" goals_per_shot_on_target \n",
" passes_pct \n",
- " dribble_tackles_pct \n",
- " dribbles_completed_pct \n",
+ " aerials_won_pct \n",
+ " team_possession \n",
" ... \n",
" miscontrols \n",
" dispossessed \n",
@@ -1732,8 +1732,8 @@
" 0.14 \n",
" 0.36 \n",
" 72.6 \n",
- " 31.8 \n",
- " 57.4 \n",
+ " 32.5 \n",
+ " 53.0 \n",
" ... \n",
" 0.024921 \n",
" 0.011934 \n",
@@ -1748,7 +1748,7 @@
" \n",
" \n",
"\n",
- "1 rows × 125 columns
\n",
+ "1 rows × 112 columns
\n",
""
],
"text/plain": [
@@ -1758,22 +1758,22 @@
" goals_per_shot goals_per_shot_on_target passes_pct \\\n",
"Immobile 0.14 0.36 72.6 \n",
"\n",
- " dribble_tackles_pct dribbles_completed_pct ... miscontrols \\\n",
- "Immobile 31.8 57.4 ... 0.024921 \n",
+ " aerials_won_pct team_possession ... miscontrols dispossessed \\\n",
+ "Immobile 32.5 53.0 ... 0.024921 0.011934 \n",
"\n",
- " dispossessed fouls fouled aerials_won aerials_lost \\\n",
- "Immobile 0.011934 0.012987 0.015444 0.009126 0.018954 \n",
+ " fouls fouled aerials_won aerials_lost carries \\\n",
+ "Immobile 0.012987 0.015444 0.009126 0.018954 0.2457 \n",
"\n",
- " carries progressive_carries carries_into_final_third \\\n",
- "Immobile 0.2457 0.025974 0.015093 \n",
+ " progressive_carries carries_into_final_third \\\n",
+ "Immobile 0.025974 0.015093 \n",
"\n",
" carries_into_penalty_area \n",
"Immobile 0.013338 \n",
"\n",
- "[1 rows x 125 columns]"
+ "[1 rows x 112 columns]"
]
},
- "execution_count": 27,
+ "execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
@@ -1788,7 +1788,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 64,
"id": "3ae718d2",
"metadata": {},
"outputs": [
@@ -2004,7 +2004,7 @@
"[10574 rows x 10 columns]"
]
},
- "execution_count": 28,
+ "execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
@@ -2016,7 +2016,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 65,
"id": "ec0bc56b",
"metadata": {},
"outputs": [
@@ -2154,7 +2154,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 66,
"id": "b292f9f9",
"metadata": {},
"outputs": [
@@ -2469,7 +2469,7 @@
" \n",
" \n",
"\n",
- "10574 rows × 135 columns
\n",
+ "10574 rows × 122 columns
\n",
""
],
"text/plain": [
@@ -2525,10 +2525,10 @@
"10572 0.014207 0.013418 \n",
"10573 0.004704 0.002822 \n",
"\n",
- "[10574 rows x 135 columns]"
+ "[10574 rows x 122 columns]"
]
},
- "execution_count": 30,
+ "execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
@@ -2539,7 +2539,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 67,
"id": "1db9f77f",
"metadata": {},
"outputs": [],
@@ -2552,7 +2552,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 68,
"id": "f56df3ca",
"metadata": {},
"outputs": [
@@ -2867,7 +2867,7 @@
" \n",
" \n",
"\n",
- "9663 rows × 135 columns
\n",
+ "9663 rows × 122 columns
\n",
""
],
"text/plain": [
@@ -2923,10 +2923,10 @@
"10572 0.014207 0.013418 \n",
"10573 0.004704 0.002822 \n",
"\n",
- "[9663 rows x 135 columns]"
+ "[9663 rows x 122 columns]"
]
},
- "execution_count": 32,
+ "execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
@@ -2937,7 +2937,7 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 69,
"id": "df26c8e0",
"metadata": {},
"outputs": [],
@@ -2955,7 +2955,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 70,
"id": "ba7b838c",
"metadata": {},
"outputs": [],
@@ -2990,7 +2990,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -3007,8 +3007,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -3023,7 +3023,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -3040,8 +3040,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -3068,7 +3068,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 71,
"id": "1d2682b9",
"metadata": {},
"outputs": [],
@@ -3092,7 +3092,7 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 72,
"id": "bc6e9d52",
"metadata": {},
"outputs": [
@@ -3143,59 +3143,59 @@
" \n",
" \n",
" Consigli \n",
+ " 37 \n",
+ " 37 \n",
+ " 3330 \n",
+ " 1.51 \n",
+ " 71.9 \n",
+ " 18.9 \n",
+ " -0.04 \n",
" 37.0 \n",
- " 37.0 \n",
- " 3322.0 \n",
- " 1.71 \n",
- " 67.8 \n",
- " 8.1 \n",
- " -0.16 \n",
- " 43.2 \n",
- " 29.0 \n",
- " 30.9 \n",
+ " 24.0 \n",
+ " 27.7 \n",
" ... \n",
- " 56.0 \n",
- " 0.28 \n",
- " -6.0 \n",
- " 186.0 \n",
- " 431.0 \n",
- " 1219.0 \n",
- " 174.0 \n",
- " 246.0 \n",
- " 491.0 \n",
- " 21.0 \n",
+ " 53.6 \n",
+ " 0.27 \n",
+ " -1.4 \n",
+ " 118.0 \n",
+ " 319.0 \n",
+ " 1114.0 \n",
+ " 172.0 \n",
+ " 240.0 \n",
+ " 513.0 \n",
+ " 26.0 \n",
" \n",
" \n",
"\n",
- "1 rows × 98 columns
\n",
+ "1 rows × 92 columns
\n",
""
],
"text/plain": [
" gk_games gk_games_starts gk_minutes gk_goals_against_per90 \\\n",
- "Consigli 37.0 37.0 3322.0 1.71 \n",
+ "Consigli 37 37 3330 1.51 \n",
"\n",
" gk_save_pct gk_clean_sheets_pct gk_psxg_net_per90 \\\n",
- "Consigli 67.8 8.1 -0.16 \n",
+ "Consigli 71.9 18.9 -0.04 \n",
"\n",
" gk_passes_pct_launched gk_pct_passes_launched \\\n",
- "Consigli 43.2 29.0 \n",
+ "Consigli 37.0 24.0 \n",
"\n",
" gk_passes_length_avg ... gk_psxg \\\n",
- "Consigli 30.9 ... 56.0 \n",
+ "Consigli 27.7 ... 53.6 \n",
"\n",
" gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "Consigli 0.28 -6.0 \n",
+ "Consigli 0.27 -1.4 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "Consigli 186.0 431.0 1219.0 \n",
+ "Consigli 118.0 319.0 1114.0 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "Consigli 174.0 246.0 491.0 21.0 \n",
+ "Consigli 172.0 240.0 513.0 26.0 \n",
"\n",
- "[1 rows x 98 columns]"
+ "[1 rows x 92 columns]"
]
},
- "execution_count": 58,
+ "execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
@@ -3210,7 +3210,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 73,
"id": "6f08e718",
"metadata": {},
"outputs": [
@@ -3290,7 +3290,40 @@
"6900\n",
"7000\n",
"7100\n",
- "7200\n"
+ "7200\n",
+ "7300\n",
+ "7400\n",
+ "7500\n",
+ "7600\n",
+ "7700\n",
+ "7800\n",
+ "7900\n",
+ "8000\n",
+ "8100\n",
+ "8200\n",
+ "8300\n",
+ "8400\n",
+ "8500\n",
+ "8600\n",
+ "8700\n",
+ "8800\n",
+ "8900\n",
+ "9000\n",
+ "9100\n",
+ "9200\n",
+ "9300\n",
+ "9400\n",
+ "9500\n",
+ "9600\n",
+ "9700\n",
+ "9800\n",
+ "9900\n",
+ "10000\n",
+ "10100\n",
+ "10200\n",
+ "10300\n",
+ "10400\n",
+ "10500\n"
]
}
],
@@ -3320,7 +3353,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 74,
"id": "2b540670",
"metadata": {},
"outputs": [],
@@ -3330,7 +3363,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 75,
"id": "35495581",
"metadata": {},
"outputs": [],
diff --git a/5_scraping_match_probable_players.ipynb b/5_scraping_match_probable_players.ipynb
index 50f8a19..aabf3d9 100644
--- a/5_scraping_match_probable_players.ipynb
+++ b/5_scraping_match_probable_players.ipynb
@@ -71,33 +71,33 @@
" \n",
" \n",
" 0 \n",
- " Carnesecchi \n",
+ " Tatarusanu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
" 1 \n",
- " Bianchetti \n",
+ " Thiaw \n",
" 1 \n",
- " 55.0 \n",
+ " 65.0 \n",
" \n",
" \n",
" 2 \n",
- " Chiriches \n",
+ " Kjaer \n",
" 1 \n",
- " 80.0 \n",
+ " 85.0 \n",
" \n",
" \n",
" 3 \n",
- " Vasquez \n",
+ " Kalulu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
" 4 \n",
- " Sernicola \n",
+ " Saelemaekers \n",
" 1 \n",
- " 90.0 \n",
+ " 60.0 \n",
" \n",
" \n",
" ... \n",
@@ -106,55 +106,55 @@
" ... \n",
" \n",
" \n",
- " 444 \n",
- " Cuadrado \n",
+ " 433 \n",
+ " Dumfries \n",
" 0 \n",
" 60.0 \n",
" \n",
" \n",
- " 445 \n",
- " Pogba \n",
+ " 434 \n",
+ " Mkhitaryan \n",
+ " 0 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 435 \n",
+ " Asllani \n",
" 0 \n",
" 30.0 \n",
" \n",
" \n",
- " 446 \n",
- " Miretti \n",
+ " 436 \n",
+ " Gagliardini \n",
" 0 \n",
" 50.0 \n",
" \n",
" \n",
- " 447 \n",
- " Soule' \n",
- " 0 \n",
- " 30.0 \n",
- " \n",
- " \n",
- " 448 \n",
- " Kean \n",
+ " 437 \n",
+ " Lukaku \n",
" 0 \n",
" 60.0 \n",
" \n",
" \n",
"\n",
- "449 rows × 3 columns
\n",
+ "438 rows × 3 columns
\n",
""
],
"text/plain": [
- " player starter percentage\n",
- "0 Carnesecchi 1 90.0\n",
- "1 Bianchetti 1 55.0\n",
- "2 Chiriches 1 80.0\n",
- "3 Vasquez 1 90.0\n",
- "4 Sernicola 1 90.0\n",
- ".. ... ... ...\n",
- "444 Cuadrado 0 60.0\n",
- "445 Pogba 0 30.0\n",
- "446 Miretti 0 50.0\n",
- "447 Soule' 0 30.0\n",
- "448 Kean 0 60.0\n",
+ " player starter percentage\n",
+ "0 Tatarusanu 1 90.0\n",
+ "1 Thiaw 1 65.0\n",
+ "2 Kjaer 1 85.0\n",
+ "3 Kalulu 1 90.0\n",
+ "4 Saelemaekers 1 60.0\n",
+ ".. ... ... ...\n",
+ "433 Dumfries 0 60.0\n",
+ "434 Mkhitaryan 0 55.0\n",
+ "435 Asllani 0 30.0\n",
+ "436 Gagliardini 0 50.0\n",
+ "437 Lukaku 0 60.0\n",
"\n",
- "[449 rows x 3 columns]"
+ "[438 rows x 3 columns]"
]
},
"execution_count": 3,
@@ -180,7 +180,7 @@
" starter = 0\n",
" \n",
" for j in range(len(players)):\n",
- " player = players[j].contents[0].replace('\\n \\n ', '')\n",
+ " player = players[j].contents[1].contents[0]\n",
" perc = float(bars[j]['aria-valuenow'])\n",
" \n",
" row_df = pd.DataFrame([[player, starter, perc]], columns = probables.columns)\n",
@@ -235,409 +235,381 @@
" \n",
" \n",
" 0 \n",
- " Dessers \n",
- " Ciofani D. \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 1 \n",
- " Bianchetti \n",
- " Ferrari A. \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 2 \n",
- " Pezzella Giu. \n",
- " Gallo \n",
+ " Saelemaekers \n",
+ " Calabria \n",
" 60.0 \n",
" \n",
" \n",
+ " 1 \n",
+ " Diaz B. \n",
+ " De Ketelaere \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 2 \n",
+ " Thiaw \n",
+ " Messias \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
" 3 \n",
- " Di Francesco F. \n",
- " Banda \n",
+ " Singo \n",
+ " Aina \n",
" 55.0 \n",
" \n",
" \n",
" 4 \n",
- " Abraham \n",
- " Belotti \n",
- " 65.0 \n",
+ " Rodriguez R. \n",
+ " Buongiorno \n",
+ " 55.0 \n",
" \n",
" \n",
" 5 \n",
- " Matic \n",
- " Bove \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 6 \n",
" Akpa Akpro \n",
" Haas \n",
" 60.0 \n",
" \n",
" \n",
- " 7 \n",
+ " 6 \n",
" Satriano \n",
- " Cambiaghi \n",
+ " Piccoli \n",
" 60.0 \n",
" \n",
" \n",
- " 8 \n",
+ " 7 \n",
" Ebuehi \n",
" Stojanovic \n",
" 60.0 \n",
" \n",
" \n",
+ " 8 \n",
+ " Holm \n",
+ " Ferrer \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
" 9 \n",
- " Bajrami \n",
- " Thorstvedt \n",
+ " Nzola \n",
+ " Shomurodov \n",
" 55.0 \n",
" \n",
" \n",
" 10 \n",
- " Zortea \n",
- " Ruan \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 11 \n",
- " Obiang \n",
- " Lopez M. \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 12 \n",
- " Demiral \n",
- " Djimsiti \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 13 \n",
- " Maehle \n",
- " Ruggeri \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 14 \n",
- " Boga \n",
- " Pasalic \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 15 \n",
" Agudelo \n",
" Cipot \n",
" 60.0 \n",
" \n",
" \n",
- " 16 \n",
- " Verde \n",
- " Maldini \n",
+ " 11 \n",
+ " Di Francesco F. \n",
+ " Banda \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 12 \n",
+ " Gallo \n",
+ " Pezzella Giu. \n",
" 60.0 \n",
" \n",
" \n",
+ " 13 \n",
+ " El Shaarawy \n",
+ " Celik \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 14 \n",
+ " Matic \n",
+ " Bove \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 15 \n",
+ " Cataldi \n",
+ " Vecino \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 16 \n",
+ " Lazzari \n",
+ " Hysaj \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
" 17 \n",
- " Holm \n",
- " Ferrer \n",
- " 65.0 \n",
+ " Boga \n",
+ " Ederson D.s. \n",
+ " 55.0 \n",
" \n",
" \n",
" 18 \n",
- " Lozano \n",
- " Elmas \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 19 \n",
- " Lozano \n",
- " Politano \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 20 \n",
- " Mario Rui \n",
- " Olivera \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 21 \n",
- " Vojvoda \n",
- " Aina \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 22 \n",
- " Buongiorno \n",
- " Adopo \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 23 \n",
- " Sanabria \n",
- " Seck \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 24 \n",
- " Success \n",
- " Thauvin \n",
+ " Hojlund \n",
+ " Zapata D. \n",
" 65.0 \n",
" \n",
" \n",
- " 25 \n",
+ " 19 \n",
+ " Djimsiti \n",
+ " Demiral \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 20 \n",
+ " Thauvin \n",
+ " Success \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 21 \n",
" Arslan \n",
" Lovric \n",
" 60.0 \n",
" \n",
" \n",
- " 26 \n",
- " Amrabat \n",
- " Mandragora \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 27 \n",
- " Bonaventura \n",
- " Barak \n",
+ " 22 \n",
+ " Bajrami \n",
+ " Thorstvedt \n",
" 55.0 \n",
" \n",
" \n",
- " 28 \n",
- " Gonzalez N. \n",
- " Ikone' \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 29 \n",
- " Dodo' \n",
- " Venuti \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 30 \n",
- " Milenkovic \n",
- " Martinez Quarta \n",
+ " 23 \n",
+ " Ruan \n",
+ " Ferrari G. \n",
" 60.0 \n",
" \n",
" \n",
- " 31 \n",
+ " 24 \n",
+ " Lopez M. \n",
+ " Obiang \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 25 \n",
+ " Zirkzee \n",
+ " Barrow \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 26 \n",
" Cambiaso \n",
" Lykogiannis \n",
" 55.0 \n",
" \n",
" \n",
- " 32 \n",
- " Dominguez \n",
- " Moro N. \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 33 \n",
+ " 27 \n",
" Soriano \n",
" Aebischer \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 34 \n",
- " Brozovic \n",
- " Mkhitaryan \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 35 \n",
- " Dzeko \n",
- " Lukaku \n",
" 65.0 \n",
" \n",
" \n",
- " 36 \n",
- " Dumfries \n",
- " Darmian \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 37 \n",
- " Giroud \n",
- " Origi \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 38 \n",
- " Saelemaekers \n",
- " Messias \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 39 \n",
- " De Ketelaere \n",
- " Diaz B. \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 40 \n",
- " Dawidowicz \n",
- " Magnani \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 41 \n",
- " Lasagna \n",
- " Braaf \n",
- " 55.0 \n",
- " \n",
- " \n",
- " 42 \n",
- " Doig \n",
- " Verdi \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 43 \n",
- " Lazzari \n",
- " Hysaj \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 44 \n",
- " Luis Alberto \n",
- " Vecino \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 45 \n",
- " Cataldi \n",
- " Marcos Antonio \n",
- " 65.0 \n",
- " \n",
- " \n",
- " 46 \n",
+ " 28 \n",
" Marlon \n",
" Caldirola \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 47 \n",
- " Petagna \n",
- " Mota \n",
" 55.0 \n",
" \n",
" \n",
- " 48 \n",
- " Birindelli \n",
+ " 29 \n",
+ " Petagna \n",
+ " Mota \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 30 \n",
+ " Sensi \n",
" Machin \n",
" 55.0 \n",
" \n",
" \n",
- " 49 \n",
- " Colley \n",
- " Amione \n",
+ " 31 \n",
+ " De Sciglio \n",
+ " Chiesa \n",
" 60.0 \n",
" \n",
" \n",
- " 50 \n",
- " Djuricic \n",
- " Cuisance \n",
+ " 32 \n",
+ " Brekalo \n",
+ " Saponara \n",
" 55.0 \n",
" \n",
" \n",
- " 51 \n",
+ " 33 \n",
+ " Brekalo \n",
+ " Ikone' \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 34 \n",
+ " Jovic \n",
+ " Cabral \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 35 \n",
+ " Barak \n",
+ " Duncan \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 36 \n",
+ " Lozano \n",
+ " Elmas \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 37 \n",
+ " Lozano \n",
+ " Politano \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 38 \n",
+ " Mario Rui \n",
+ " Olivera \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 39 \n",
+ " Buonaiuto \n",
+ " Afena-Gyan \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 40 \n",
+ " Benassi \n",
+ " Castagnetti \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 41 \n",
+ " Ceccherini \n",
+ " Coppola D. \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 42 \n",
+ " Magnani \n",
+ " Dawidowicz \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 43 \n",
+ " Ngonge \n",
+ " Gaich \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 44 \n",
" Bronn \n",
" Daniliuc \n",
" 60.0 \n",
" \n",
" \n",
- " 52 \n",
- " Sambia \n",
+ " 45 \n",
" Lovato \n",
+ " Sambia \n",
" 55.0 \n",
" \n",
" \n",
- " 53 \n",
- " Nicolussi Caviglia \n",
+ " 46 \n",
" Bohinen \n",
- " 60.0 \n",
- " \n",
- " \n",
- " 54 \n",
- " Chiesa \n",
- " De Sciglio \n",
+ " Nicolussi Caviglia \n",
" 55.0 \n",
" \n",
" \n",
- " 55 \n",
- " Alex Sandro \n",
- " Gatti \n",
+ " 47 \n",
+ " Djuricic \n",
+ " Sabiri \n",
+ " 65.0 \n",
+ " \n",
+ " \n",
+ " 48 \n",
+ " Murru \n",
+ " Murillo \n",
" 60.0 \n",
" \n",
" \n",
- " 56 \n",
- " Vlahovic \n",
- " Kean \n",
+ " 49 \n",
+ " Rincon \n",
+ " Cuisance \n",
" 60.0 \n",
" \n",
+ " \n",
+ " 50 \n",
+ " Brozovic \n",
+ " Mkhitaryan \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " 51 \n",
+ " Dzeko \n",
+ " Lukaku \n",
+ " 60.0 \n",
+ " \n",
+ " \n",
+ " 52 \n",
+ " Darmian \n",
+ " Dumfries \n",
+ " 55.0 \n",
+ " \n",
" \n",
"\n",
""
],
"text/plain": [
- " player1 player2 percentage\n",
- "0 Dessers Ciofani D. 65.0\n",
- "1 Bianchetti Ferrari A. 55.0\n",
- "2 Pezzella Giu. Gallo 60.0\n",
- "3 Di Francesco F. Banda 55.0\n",
- "4 Abraham Belotti 65.0\n",
- "5 Matic Bove 60.0\n",
- "6 Akpa Akpro Haas 60.0\n",
- "7 Satriano Cambiaghi 60.0\n",
- "8 Ebuehi Stojanovic 60.0\n",
- "9 Bajrami Thorstvedt 55.0\n",
- "10 Zortea Ruan 60.0\n",
- "11 Obiang Lopez M. 60.0\n",
- "12 Demiral Djimsiti 55.0\n",
- "13 Maehle Ruggeri 60.0\n",
- "14 Boga Pasalic 60.0\n",
- "15 Agudelo Cipot 60.0\n",
- "16 Verde Maldini 60.0\n",
- "17 Holm Ferrer 65.0\n",
- "18 Lozano Elmas 55.0\n",
- "19 Lozano Politano 55.0\n",
- "20 Mario Rui Olivera 60.0\n",
- "21 Vojvoda Aina 60.0\n",
- "22 Buongiorno Adopo 60.0\n",
- "23 Sanabria Seck 55.0\n",
- "24 Success Thauvin 65.0\n",
- "25 Arslan Lovric 60.0\n",
- "26 Amrabat Mandragora 65.0\n",
- "27 Bonaventura Barak 55.0\n",
- "28 Gonzalez N. Ikone' 55.0\n",
- "29 Dodo' Venuti 55.0\n",
- "30 Milenkovic Martinez Quarta 60.0\n",
- "31 Cambiaso Lykogiannis 55.0\n",
- "32 Dominguez Moro N. 60.0\n",
- "33 Soriano Aebischer 60.0\n",
- "34 Brozovic Mkhitaryan 55.0\n",
- "35 Dzeko Lukaku 65.0\n",
- "36 Dumfries Darmian 55.0\n",
- "37 Giroud Origi 60.0\n",
- "38 Saelemaekers Messias 60.0\n",
- "39 De Ketelaere Diaz B. 55.0\n",
- "40 Dawidowicz Magnani 65.0\n",
- "41 Lasagna Braaf 55.0\n",
- "42 Doig Verdi 60.0\n",
- "43 Lazzari Hysaj 60.0\n",
- "44 Luis Alberto Vecino 60.0\n",
- "45 Cataldi Marcos Antonio 65.0\n",
- "46 Marlon Caldirola 60.0\n",
- "47 Petagna Mota 55.0\n",
- "48 Birindelli Machin 55.0\n",
- "49 Colley Amione 60.0\n",
- "50 Djuricic Cuisance 55.0\n",
- "51 Bronn Daniliuc 60.0\n",
- "52 Sambia Lovato 55.0\n",
- "53 Nicolussi Caviglia Bohinen 60.0\n",
- "54 Chiesa De Sciglio 55.0\n",
- "55 Alex Sandro Gatti 60.0\n",
- "56 Vlahovic Kean 60.0"
+ " player1 player2 percentage\n",
+ "0 Saelemaekers Calabria 60.0\n",
+ "1 Diaz B. De Ketelaere 60.0\n",
+ "2 Thiaw Messias 65.0\n",
+ "3 Singo Aina 55.0\n",
+ "4 Rodriguez R. Buongiorno 55.0\n",
+ "5 Akpa Akpro Haas 60.0\n",
+ "6 Satriano Piccoli 60.0\n",
+ "7 Ebuehi Stojanovic 60.0\n",
+ "8 Holm Ferrer 55.0\n",
+ "9 Nzola Shomurodov 55.0\n",
+ "10 Agudelo Cipot 60.0\n",
+ "11 Di Francesco F. Banda 65.0\n",
+ "12 Gallo Pezzella Giu. 60.0\n",
+ "13 El Shaarawy Celik 60.0\n",
+ "14 Matic Bove 60.0\n",
+ "15 Cataldi Vecino 65.0\n",
+ "16 Lazzari Hysaj 55.0\n",
+ "17 Boga Ederson D.s. 55.0\n",
+ "18 Hojlund Zapata D. 65.0\n",
+ "19 Djimsiti Demiral 60.0\n",
+ "20 Thauvin Success 55.0\n",
+ "21 Arslan Lovric 60.0\n",
+ "22 Bajrami Thorstvedt 55.0\n",
+ "23 Ruan Ferrari G. 60.0\n",
+ "24 Lopez M. Obiang 55.0\n",
+ "25 Zirkzee Barrow 65.0\n",
+ "26 Cambiaso Lykogiannis 55.0\n",
+ "27 Soriano Aebischer 65.0\n",
+ "28 Marlon Caldirola 55.0\n",
+ "29 Petagna Mota 60.0\n",
+ "30 Sensi Machin 55.0\n",
+ "31 De Sciglio Chiesa 60.0\n",
+ "32 Brekalo Saponara 55.0\n",
+ "33 Brekalo Ikone' 55.0\n",
+ "34 Jovic Cabral 60.0\n",
+ "35 Barak Duncan 60.0\n",
+ "36 Lozano Elmas 55.0\n",
+ "37 Lozano Politano 55.0\n",
+ "38 Mario Rui Olivera 60.0\n",
+ "39 Buonaiuto Afena-Gyan 60.0\n",
+ "40 Benassi Castagnetti 60.0\n",
+ "41 Ceccherini Coppola D. 60.0\n",
+ "42 Magnani Dawidowicz 55.0\n",
+ "43 Ngonge Gaich 60.0\n",
+ "44 Bronn Daniliuc 60.0\n",
+ "45 Lovato Sambia 55.0\n",
+ "46 Bohinen Nicolussi Caviglia 55.0\n",
+ "47 Djuricic Sabiri 65.0\n",
+ "48 Murru Murillo 60.0\n",
+ "49 Rincon Cuisance 60.0\n",
+ "50 Brozovic Mkhitaryan 55.0\n",
+ "51 Dzeko Lukaku 60.0\n",
+ "52 Darmian Dumfries 55.0"
]
},
"execution_count": 5,
@@ -653,8 +625,8 @@
" players = groups[i].findAll('a', attrs = {'class' : 'player-name'})\n",
" percs = groups[i].findAll('strong', attrs = {'class' : 'percentage'})\n",
" \n",
- " player1 = players[0].contents[0].replace('\\n \\n ', '')\n",
- " player2 = players[1].contents[0].replace('\\n \\n ', '')\n",
+ " player1 = players[0].contents[1].contents[0]\n",
+ " player2 = players[1].contents[1].contents[0]\n",
" perc = float(percs[0].contents[0].replace('%', ''))\n",
" \n",
" row_df = pd.DataFrame([[player1, player2, perc]], columns = ballots.columns)\n",
@@ -702,29 +674,29 @@
" \n",
" \n",
" \n",
- " Carnesecchi \n",
+ " Tatarusanu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
- " Bianchetti \n",
- " 0.55 \n",
- " 55.0 \n",
+ " Thiaw \n",
+ " 0.65 \n",
+ " 65.0 \n",
" \n",
" \n",
- " Chiriches \n",
+ " Kjaer \n",
" 1 \n",
- " 80.0 \n",
+ " 85.0 \n",
" \n",
" \n",
- " Vasquez \n",
+ " Kalulu \n",
" 1 \n",
" 90.0 \n",
" \n",
" \n",
- " Sernicola \n",
- " 1 \n",
- " 90.0 \n",
+ " Saelemaekers \n",
+ " 0.6 \n",
+ " 60.0 \n",
" \n",
" \n",
" ... \n",
@@ -732,51 +704,51 @@
" ... \n",
" \n",
" \n",
- " Cuadrado \n",
- " 0 \n",
+ " Dumfries \n",
+ " 0.45 \n",
" 60.0 \n",
" \n",
" \n",
- " Pogba \n",
+ " Mkhitaryan \n",
+ " 0.45 \n",
+ " 55.0 \n",
+ " \n",
+ " \n",
+ " Asllani \n",
" 0 \n",
" 30.0 \n",
" \n",
" \n",
- " Miretti \n",
+ " Gagliardini \n",
" 0 \n",
" 50.0 \n",
" \n",
" \n",
- " Soule' \n",
- " 0 \n",
- " 30.0 \n",
- " \n",
- " \n",
- " Kean \n",
+ " Lukaku \n",
" 0.4 \n",
" 60.0 \n",
" \n",
" \n",
"\n",
- "449 rows × 2 columns
\n",
+ "438 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Carnesecchi 1 90.0\n",
- "Bianchetti 0.55 55.0\n",
- "Chiriches 1 80.0\n",
- "Vasquez 1 90.0\n",
- "Sernicola 1 90.0\n",
- "... ... ...\n",
- "Cuadrado 0 60.0\n",
- "Pogba 0 30.0\n",
- "Miretti 0 50.0\n",
- "Soule' 0 30.0\n",
- "Kean 0.4 60.0\n",
+ " starter percentage\n",
+ "player \n",
+ "Tatarusanu 1 90.0\n",
+ "Thiaw 0.65 65.0\n",
+ "Kjaer 1 85.0\n",
+ "Kalulu 1 90.0\n",
+ "Saelemaekers 0.6 60.0\n",
+ "... ... ...\n",
+ "Dumfries 0.45 60.0\n",
+ "Mkhitaryan 0.45 55.0\n",
+ "Asllani 0 30.0\n",
+ "Gagliardini 0 50.0\n",
+ "Lukaku 0.4 60.0\n",
"\n",
- "[449 rows x 2 columns]"
+ "[438 rows x 2 columns]"
]
},
"execution_count": 6,
diff --git a/6_neural_network_training.ipynb b/6_neural_network_training.ipynb
index fcf7046..469b3ed 100644
--- a/6_neural_network_training.ipynb
+++ b/6_neural_network_training.ipynb
@@ -10,7 +10,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 1,
"id": "210da263",
"metadata": {},
"outputs": [],
@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 2,
"id": "edbf3b27",
"metadata": {},
"outputs": [],
@@ -60,7 +60,7 @@
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 3,
"id": "fa098fa4",
"metadata": {},
"outputs": [],
@@ -72,7 +72,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 4,
"id": "f71fa9a4",
"metadata": {},
"outputs": [
@@ -134,15 +134,15 @@
" 0.0 \n",
" 10.0 \n",
" ... \n",
- " 0.007886 \n",
- " 0.001577 \n",
- " 0.006309 \n",
- " 0.006309 \n",
- " 0.014984 \n",
- " 0.011830 \n",
- " 0.364353 \n",
- " 0.008675 \n",
- " 0.016562 \n",
+ " 0.007364 \n",
+ " 0.001473 \n",
+ " 0.006627 \n",
+ " 0.005891 \n",
+ " 0.013991 \n",
+ " 0.011046 \n",
+ " 0.365243 \n",
+ " 0.008100 \n",
+ " 0.016200 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -158,15 +158,15 @@
" 0.0 \n",
" 6.0 \n",
" ... \n",
- " 0.002257 \n",
- " 0.006772 \n",
- " 0.006772 \n",
- " 0.004515 \n",
- " 0.020316 \n",
- " 0.015801 \n",
- " 0.483070 \n",
- " 0.004515 \n",
- " 0.004515 \n",
+ " 0.001876 \n",
+ " 0.007505 \n",
+ " 0.005629 \n",
+ " 0.005629 \n",
+ " 0.022514 \n",
+ " 0.015009 \n",
+ " 0.487805 \n",
+ " 0.003752 \n",
+ " 0.003752 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -182,16 +182,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.006304 \n",
- " 0.004728 \n",
- " 0.012608 \n",
- " 0.001576 \n",
- " 0.016548 \n",
- " 0.011032 \n",
- " 0.284476 \n",
- " 0.012608 \n",
- " 0.008668 \n",
- " 0.000788 \n",
+ " 0.005993 \n",
+ " 0.005243 \n",
+ " 0.013483 \n",
+ " 0.001498 \n",
+ " 0.016479 \n",
+ " 0.010487 \n",
+ " 0.283895 \n",
+ " 0.011985 \n",
+ " 0.009738 \n",
+ " 0.000749 \n",
" \n",
" \n",
" 3 \n",
@@ -230,16 +230,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 0.027027 \n",
- " 0.009009 \n",
- " 0.018018 \n",
" 0.000000 \n",
- " 0.022523 \n",
- " 0.004505 \n",
- " 0.351351 \n",
- " 0.049550 \n",
- " 0.031532 \n",
- " 0.009009 \n",
+ " 0.000000 \n",
+ " 0.022222 \n",
+ " 0.000000 \n",
+ " 0.011111 \n",
+ " 0.022222 \n",
+ " 0.533333 \n",
+ " 0.066667 \n",
+ " 0.066667 \n",
+ " 0.000000 \n",
" \n",
" \n",
" ... \n",
@@ -266,7 +266,7 @@
" ... \n",
" \n",
" \n",
- " 24294 \n",
+ " 24551 \n",
" 38 \n",
" Tameze \n",
" Verona \n",
@@ -290,7 +290,7 @@
" 0.003885 \n",
" \n",
" \n",
- " 24295 \n",
+ " 24552 \n",
" 38 \n",
" Hongla \n",
" Verona \n",
@@ -314,7 +314,7 @@
" 0.003072 \n",
" \n",
" \n",
- " 24296 \n",
+ " 24553 \n",
" 38 \n",
" Lasagna \n",
" Verona \n",
@@ -338,7 +338,7 @@
" 0.005912 \n",
" \n",
" \n",
- " 24297 \n",
+ " 24554 \n",
" 38 \n",
" Caprari \n",
" Verona \n",
@@ -362,7 +362,7 @@
" 0.018620 \n",
" \n",
" \n",
- " 24298 \n",
+ " 24555 \n",
" 38 \n",
" Simeone \n",
" Verona \n",
@@ -387,7 +387,7 @@
" \n",
" \n",
"\n",
- "24299 rows × 135 columns
\n",
+ "24556 rows × 122 columns
\n",
""
],
"text/plain": [
@@ -398,55 +398,55 @@
"3 1 Okoli Atalanta Sampdoria 0 5.5 0 0 \n",
"4 1 Zortea Atalanta Sampdoria 0 6.0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
- "24294 38 Tameze Verona Lazio 0 5.5 0 0 \n",
- "24295 38 Hongla Verona Lazio 0 7.0 1 0 \n",
- "24296 38 Lasagna Verona Lazio 0 7.0 1 0 \n",
- "24297 38 Caprari Verona Lazio 0 6.0 0 0 \n",
- "24298 38 Simeone Verona Lazio 0 7.0 1 0 \n",
+ "24551 38 Tameze Verona Lazio 0 5.5 0 0 \n",
+ "24552 38 Hongla Verona Lazio 0 7.0 1 0 \n",
+ "24553 38 Lasagna Verona Lazio 0 7.0 1 0 \n",
+ "24554 38 Caprari Verona Lazio 0 6.0 0 0 \n",
+ "24555 38 Simeone Verona Lazio 0 7.0 1 0 \n",
"\n",
" cards_malus fantavote ... miscontrols dispossessed fouls \\\n",
- "0 0.0 10.0 ... 0.007886 0.001577 0.006309 \n",
- "1 0.0 6.0 ... 0.002257 0.006772 0.006772 \n",
- "2 0.5 5.5 ... 0.006304 0.004728 0.012608 \n",
+ "0 0.0 10.0 ... 0.007364 0.001473 0.006627 \n",
+ "1 0.0 6.0 ... 0.001876 0.007505 0.005629 \n",
+ "2 0.5 5.5 ... 0.005993 0.005243 0.013483 \n",
"3 0.5 5.0 ... 0.013018 0.003550 0.015385 \n",
- "4 0.5 5.5 ... 0.027027 0.009009 0.018018 \n",
+ "4 0.5 5.5 ... 0.000000 0.000000 0.022222 \n",
"... ... ... ... ... ... ... \n",
- "24294 0.0 5.5 ... 0.019814 0.010101 0.012821 \n",
- "24295 0.5 9.5 ... 0.018433 0.012289 0.023041 \n",
- "24296 0.5 9.5 ... 0.046453 0.022804 0.016047 \n",
- "24297 0.0 6.0 ... 0.033954 0.019715 0.015334 \n",
- "24298 0.0 10.0 ... 0.051263 0.030155 0.021108 \n",
+ "24551 0.0 5.5 ... 0.019814 0.010101 0.012821 \n",
+ "24552 0.5 9.5 ... 0.018433 0.012289 0.023041 \n",
+ "24553 0.5 9.5 ... 0.046453 0.022804 0.016047 \n",
+ "24554 0.0 6.0 ... 0.033954 0.019715 0.015334 \n",
+ "24555 0.0 10.0 ... 0.051263 0.030155 0.021108 \n",
"\n",
" fouled aerials_won aerials_lost carries progressive_carries \\\n",
- "0 0.006309 0.014984 0.011830 0.364353 0.008675 \n",
- "1 0.004515 0.020316 0.015801 0.483070 0.004515 \n",
- "2 0.001576 0.016548 0.011032 0.284476 0.012608 \n",
+ "0 0.005891 0.013991 0.011046 0.365243 0.008100 \n",
+ "1 0.005629 0.022514 0.015009 0.487805 0.003752 \n",
+ "2 0.001498 0.016479 0.010487 0.283895 0.011985 \n",
"3 0.008284 0.047337 0.027219 0.269822 0.002367 \n",
- "4 0.000000 0.022523 0.004505 0.351351 0.049550 \n",
+ "4 0.000000 0.011111 0.022222 0.533333 0.066667 \n",
"... ... ... ... ... ... \n",
- "24294 0.013209 0.023699 0.021368 0.337218 0.021368 \n",
- "24295 0.007680 0.023041 0.026114 0.341014 0.009217 \n",
- "24296 0.008446 0.026182 0.041385 0.190878 0.021959 \n",
- "24297 0.027017 0.002921 0.009858 0.391384 0.042716 \n",
- "24298 0.021862 0.022616 0.040709 0.246136 0.015077 \n",
+ "24551 0.013209 0.023699 0.021368 0.337218 0.021368 \n",
+ "24552 0.007680 0.023041 0.026114 0.341014 0.009217 \n",
+ "24553 0.008446 0.026182 0.041385 0.190878 0.021959 \n",
+ "24554 0.027017 0.002921 0.009858 0.391384 0.042716 \n",
+ "24555 0.021862 0.022616 0.040709 0.246136 0.015077 \n",
"\n",
" carries_into_final_third carries_into_penalty_area \n",
- "0 0.016562 0.000000 \n",
- "1 0.004515 0.000000 \n",
- "2 0.008668 0.000788 \n",
+ "0 0.016200 0.000000 \n",
+ "1 0.003752 0.000000 \n",
+ "2 0.009738 0.000749 \n",
"3 0.004734 0.000000 \n",
- "4 0.031532 0.009009 \n",
+ "4 0.066667 0.000000 \n",
"... ... ... \n",
- "24294 0.012821 0.003885 \n",
- "24295 0.015361 0.003072 \n",
- "24296 0.010980 0.005912 \n",
- "24297 0.027747 0.018620 \n",
- "24298 0.012816 0.006031 \n",
+ "24551 0.012821 0.003885 \n",
+ "24552 0.015361 0.003072 \n",
+ "24553 0.010980 0.005912 \n",
+ "24554 0.027747 0.018620 \n",
+ "24555 0.012816 0.006031 \n",
"\n",
- "[24299 rows x 135 columns]"
+ "[24556 rows x 122 columns]"
]
},
- "execution_count": 57,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -459,7 +459,7 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 5,
"id": "1d024554",
"metadata": {},
"outputs": [
@@ -521,16 +521,16 @@
" 0.5 \n",
" 5.5 \n",
" ... \n",
- " 11.10 \n",
- " 0.220 \n",
- " -1.90 \n",
- " 79.0 \n",
- " 172.0 \n",
- " 340.0 \n",
+ " 12.70 \n",
+ " 0.21 \n",
+ " -1.30 \n",
+ " 81.0 \n",
+ " 185.0 \n",
+ " 372.0 \n",
+ " 107.0 \n",
" 98.0 \n",
- " 92.0 \n",
- " 161.0 \n",
- " 8.0 \n",
+ " 174.0 \n",
+ " 10.0 \n",
" \n",
" \n",
" 1 \n",
@@ -545,15 +545,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 28.70 \n",
- " 0.280 \n",
- " 0.70 \n",
- " 86.0 \n",
- " 220.0 \n",
- " 545.0 \n",
- " 116.0 \n",
- " 141.0 \n",
- " 280.0 \n",
+ " 30.80 \n",
+ " 0.28 \n",
+ " 1.80 \n",
+ " 99.0 \n",
+ " 240.0 \n",
+ " 563.0 \n",
+ " 117.0 \n",
+ " 153.0 \n",
+ " 299.0 \n",
" 18.0 \n",
" \n",
" \n",
@@ -569,15 +569,15 @@
" 0.0 \n",
" 4.5 \n",
" ... \n",
- " 25.00 \n",
- " 0.270 \n",
- " 1.00 \n",
- " 101.0 \n",
- " 307.0 \n",
- " 740.0 \n",
- " 112.0 \n",
- " 107.0 \n",
- " 412.0 \n",
+ " 26.40 \n",
+ " 0.27 \n",
+ " 0.40 \n",
+ " 102.0 \n",
+ " 310.0 \n",
+ " 766.0 \n",
+ " 113.0 \n",
+ " 108.0 \n",
+ " 426.0 \n",
" 25.0 \n",
" \n",
" \n",
@@ -593,15 +593,15 @@
" 0.0 \n",
" 3.0 \n",
" ... \n",
- " 9.15 \n",
- " 0.245 \n",
- " 0.65 \n",
- " 23.5 \n",
- " 66.5 \n",
- " 279.5 \n",
- " 44.5 \n",
- " 64.5 \n",
- " 118.5 \n",
+ " 9.35 \n",
+ " 0.24 \n",
+ " 0.85 \n",
+ " 24.0 \n",
+ " 68.0 \n",
+ " 291.5 \n",
+ " 47.0 \n",
+ " 69.5 \n",
+ " 122.5 \n",
" 3.5 \n",
" \n",
" \n",
@@ -618,7 +618,7 @@
" 5.5 \n",
" ... \n",
" 10.60 \n",
- " 0.300 \n",
+ " 0.30 \n",
" -1.40 \n",
" 27.0 \n",
" 52.0 \n",
@@ -653,83 +653,107 @@
" ... \n",
" \n",
" \n",
- " 1180 \n",
- " 20 \n",
+ " 1240 \n",
+ " 21 \n",
" Consigli \n",
" Sassuolo \n",
- " Milan \n",
- " 0 \n",
+ " Atalanta \n",
+ " 1 \n",
" 6.0 \n",
- " -2 \n",
+ " 0 \n",
" 0 \n",
" 0.0 \n",
- " 4.0 \n",
+ " 6.0 \n",
" ... \n",
- " 22.80 \n",
- " 0.360 \n",
- " -5.20 \n",
- " 110.0 \n",
- " 261.0 \n",
- " 651.0 \n",
- " 95.0 \n",
- " 167.0 \n",
- " 236.0 \n",
- " 14.0 \n",
+ " 23.30 \n",
+ " 0.35 \n",
+ " -4.70 \n",
+ " 112.0 \n",
+ " 269.0 \n",
+ " 686.0 \n",
+ " 99.0 \n",
+ " 172.0 \n",
+ " 255.0 \n",
+ " 16.0 \n",
" \n",
" \n",
- " 1181 \n",
- " 20 \n",
+ " 1241 \n",
+ " 21 \n",
" Dragowski \n",
" Spezia \n",
- " Bologna \n",
- " 0 \n",
- " 6.5 \n",
- " -2 \n",
+ " Napoli \n",
+ " 1 \n",
+ " 5.0 \n",
+ " -3 \n",
" 0 \n",
" 0.0 \n",
- " 4.5 \n",
+ " 2.0 \n",
" ... \n",
- " 26.00 \n",
- " 0.280 \n",
- " -3.00 \n",
+ " 28.10 \n",
+ " 0.27 \n",
+ " -3.90 \n",
" 85.0 \n",
- " 255.0 \n",
- " 479.0 \n",
- " 87.0 \n",
- " 106.0 \n",
- " 235.0 \n",
+ " 268.0 \n",
+ " 503.0 \n",
+ " 92.0 \n",
+ " 109.0 \n",
+ " 251.0 \n",
" 9.0 \n",
" \n",
" \n",
- " 1182 \n",
- " 20 \n",
+ " 1242 \n",
+ " 21 \n",
" Milinkovic-Savic V. \n",
" Torino \n",
- " Empoli \n",
+ " Udinese \n",
+ " 1 \n",
+ " 6.5 \n",
" 0 \n",
- " 5.5 \n",
- " -2 \n",
" 0 \n",
" 0.0 \n",
- " 3.5 \n",
+ " 6.5 \n",
" ... \n",
- " 21.30 \n",
- " 0.240 \n",
- " -0.70 \n",
- " 145.0 \n",
- " 510.0 \n",
- " 763.0 \n",
- " 87.0 \n",
- " 149.0 \n",
- " 244.0 \n",
+ " 21.90 \n",
+ " 0.23 \n",
+ " -0.10 \n",
+ " 148.0 \n",
+ " 524.0 \n",
+ " 788.0 \n",
+ " 95.0 \n",
+ " 155.0 \n",
+ " 263.0 \n",
" 18.0 \n",
" \n",
" \n",
- " 1183 \n",
- " 20 \n",
+ " 1243 \n",
+ " 21 \n",
" Silvestri \n",
" Udinese \n",
+ " Torino \n",
+ " 0 \n",
+ " 6.5 \n",
+ " -1 \n",
+ " 0 \n",
+ " 0.0 \n",
+ " 5.5 \n",
+ " ... \n",
+ " 23.90 \n",
+ " 0.31 \n",
+ " 1.90 \n",
+ " 90.0 \n",
+ " 225.0 \n",
+ " 450.0 \n",
+ " 76.0 \n",
+ " 164.0 \n",
+ " 275.0 \n",
+ " 5.0 \n",
+ " \n",
+ " \n",
+ " 1244 \n",
+ " 21 \n",
+ " Montipo' \n",
" Verona \n",
+ " Lazio \n",
" 1 \n",
" 6.0 \n",
" -1 \n",
@@ -737,44 +761,20 @@
" 0.0 \n",
" 5.0 \n",
" ... \n",
- " 22.60 \n",
- " 0.320 \n",
- " 1.60 \n",
- " 83.0 \n",
- " 211.0 \n",
- " 432.0 \n",
- " 74.0 \n",
- " 154.0 \n",
- " 263.0 \n",
- " 5.0 \n",
- " \n",
- " \n",
- " 1184 \n",
- " 20 \n",
- " Montipo' \n",
- " Verona \n",
- " Udinese \n",
- " 0 \n",
- " 6.5 \n",
- " -1 \n",
- " 0 \n",
- " 0.0 \n",
- " 5.5 \n",
- " ... \n",
- " 26.80 \n",
- " 0.250 \n",
- " -4.20 \n",
- " 187.0 \n",
- " 374.0 \n",
- " 462.0 \n",
- " 64.0 \n",
- " 159.0 \n",
- " 279.0 \n",
- " 12.0 \n",
+ " 27.60 \n",
+ " 0.25 \n",
+ " -4.40 \n",
+ " 206.0 \n",
+ " 413.0 \n",
+ " 497.0 \n",
+ " 65.0 \n",
+ " 168.0 \n",
+ " 294.0 \n",
+ " 15.0 \n",
" \n",
" \n",
"\n",
- "1185 rows × 108 columns
\n",
+ "1245 rows × 102 columns
\n",
""
],
"text/plain": [
@@ -785,68 +785,68 @@
"3 1 Gollini Fiorentina Cremonese 1 5.0 -2 \n",
"4 1 Handanovic Inter Lecce 0 6.5 -1 \n",
"... ... ... ... ... ... ... ... \n",
- "1180 20 Consigli Sassuolo Milan 0 6.0 -2 \n",
- "1181 20 Dragowski Spezia Bologna 0 6.5 -2 \n",
- "1182 20 Milinkovic-Savic V. Torino Empoli 0 5.5 -2 \n",
- "1183 20 Silvestri Udinese Verona 1 6.0 -1 \n",
- "1184 20 Montipo' Verona Udinese 0 6.5 -1 \n",
+ "1240 21 Consigli Sassuolo Atalanta 1 6.0 0 \n",
+ "1241 21 Dragowski Spezia Napoli 1 5.0 -3 \n",
+ "1242 21 Milinkovic-Savic V. Torino Udinese 1 6.5 0 \n",
+ "1243 21 Silvestri Udinese Torino 0 6.5 -1 \n",
+ "1244 21 Montipo' Verona Lazio 1 6.0 -1 \n",
"\n",
" assists cards_malus fantavote ... gk_psxg \\\n",
- "0 0 0.5 5.5 ... 11.10 \n",
- "1 0 0.0 4.5 ... 28.70 \n",
- "2 0 0.0 4.5 ... 25.00 \n",
- "3 0 0.0 3.0 ... 9.15 \n",
+ "0 0 0.5 5.5 ... 12.70 \n",
+ "1 0 0.0 4.5 ... 30.80 \n",
+ "2 0 0.0 4.5 ... 26.40 \n",
+ "3 0 0.0 3.0 ... 9.35 \n",
"4 0 0.0 5.5 ... 10.60 \n",
"... ... ... ... ... ... \n",
- "1180 0 0.0 4.0 ... 22.80 \n",
- "1181 0 0.0 4.5 ... 26.00 \n",
- "1182 0 0.0 3.5 ... 21.30 \n",
- "1183 0 0.0 5.0 ... 22.60 \n",
- "1184 0 0.0 5.5 ... 26.80 \n",
+ "1240 0 0.0 6.0 ... 23.30 \n",
+ "1241 0 0.0 2.0 ... 28.10 \n",
+ "1242 0 0.0 6.5 ... 21.90 \n",
+ "1243 0 0.0 5.5 ... 23.90 \n",
+ "1244 0 0.0 5.0 ... 27.60 \n",
"\n",
" gk_psnpxg_per_shot_on_target_against gk_psxg_net \\\n",
- "0 0.220 -1.90 \n",
- "1 0.280 0.70 \n",
- "2 0.270 1.00 \n",
- "3 0.245 0.65 \n",
- "4 0.300 -1.40 \n",
+ "0 0.21 -1.30 \n",
+ "1 0.28 1.80 \n",
+ "2 0.27 0.40 \n",
+ "3 0.24 0.85 \n",
+ "4 0.30 -1.40 \n",
"... ... ... \n",
- "1180 0.360 -5.20 \n",
- "1181 0.280 -3.00 \n",
- "1182 0.240 -0.70 \n",
- "1183 0.320 1.60 \n",
- "1184 0.250 -4.20 \n",
+ "1240 0.35 -4.70 \n",
+ "1241 0.27 -3.90 \n",
+ "1242 0.23 -0.10 \n",
+ "1243 0.31 1.90 \n",
+ "1244 0.25 -4.40 \n",
"\n",
" gk_passes_completed_launched gk_passes_launched gk_passes \\\n",
- "0 79.0 172.0 340.0 \n",
- "1 86.0 220.0 545.0 \n",
- "2 101.0 307.0 740.0 \n",
- "3 23.5 66.5 279.5 \n",
+ "0 81.0 185.0 372.0 \n",
+ "1 99.0 240.0 563.0 \n",
+ "2 102.0 310.0 766.0 \n",
+ "3 24.0 68.0 291.5 \n",
"4 27.0 52.0 266.0 \n",
"... ... ... ... \n",
- "1180 110.0 261.0 651.0 \n",
- "1181 85.0 255.0 479.0 \n",
- "1182 145.0 510.0 763.0 \n",
- "1183 83.0 211.0 432.0 \n",
- "1184 187.0 374.0 462.0 \n",
+ "1240 112.0 269.0 686.0 \n",
+ "1241 85.0 268.0 503.0 \n",
+ "1242 148.0 524.0 788.0 \n",
+ "1243 90.0 225.0 450.0 \n",
+ "1244 206.0 413.0 497.0 \n",
"\n",
" gk_passes_throws gk_goal_kicks gk_crosses gk_crosses_stopped \n",
- "0 98.0 92.0 161.0 8.0 \n",
- "1 116.0 141.0 280.0 18.0 \n",
- "2 112.0 107.0 412.0 25.0 \n",
- "3 44.5 64.5 118.5 3.5 \n",
+ "0 107.0 98.0 174.0 10.0 \n",
+ "1 117.0 153.0 299.0 18.0 \n",
+ "2 113.0 108.0 426.0 25.0 \n",
+ "3 47.0 69.5 122.5 3.5 \n",
"4 46.0 45.0 79.0 2.0 \n",
"... ... ... ... ... \n",
- "1180 95.0 167.0 236.0 14.0 \n",
- "1181 87.0 106.0 235.0 9.0 \n",
- "1182 87.0 149.0 244.0 18.0 \n",
- "1183 74.0 154.0 263.0 5.0 \n",
- "1184 64.0 159.0 279.0 12.0 \n",
+ "1240 99.0 172.0 255.0 16.0 \n",
+ "1241 92.0 109.0 251.0 9.0 \n",
+ "1242 95.0 155.0 263.0 18.0 \n",
+ "1243 76.0 164.0 275.0 5.0 \n",
+ "1244 65.0 168.0 294.0 15.0 \n",
"\n",
- "[1185 rows x 108 columns]"
+ "[1245 rows x 102 columns]"
]
},
- "execution_count": 58,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -871,7 +871,7 @@
},
{
"cell_type": "code",
- "execution_count": 59,
+ "execution_count": 6,
"id": "bc9dae87",
"metadata": {},
"outputs": [],
@@ -895,7 +895,7 @@
},
{
"cell_type": "code",
- "execution_count": 60,
+ "execution_count": 7,
"id": "493b0495",
"metadata": {},
"outputs": [
@@ -903,7 +903,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_1508\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
+ "C:\\Users\\nicol\\AppData\\Local\\Temp\\ipykernel_11840\\661405348.py:3: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
" avg_row = pd.DataFrame(index = ['Avg'], data = [team_data.mean()], columns = team_data.columns)\n"
]
},
@@ -956,618 +956,618 @@
" Atalanta \n",
" Atalanta \n",
" 24.00 \n",
- " 49.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 49.00 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 38.0 \n",
" 27.0 \n",
" 6.00 \n",
" 8.0 \n",
" ... \n",
- " 220.00 \n",
" 232.0 \n",
- " 26.0 \n",
+ " 244.0 \n",
+ " 26.00 \n",
" 1.0 \n",
" 8.00 \n",
" 1.0 \n",
- " 1214.0 \n",
- " 248.00 \n",
- " 303.00 \n",
- " 45.00 \n",
+ " 1261.0 \n",
+ " 260.0 \n",
+ " 317.0 \n",
+ " 45.10 \n",
" \n",
" \n",
" Bologna \n",
" Bologna \n",
- " 24.00 \n",
- " 52.600 \n",
+ " 25.00 \n",
+ " 51.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 27.0 \n",
" 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 25.0 \n",
- " 19.0 \n",
- " 3.00 \n",
- " 3.0 \n",
+ " 4.00 \n",
+ " 4.0 \n",
" ... \n",
- " 252.00 \n",
- " 229.0 \n",
- " 33.0 \n",
+ " 262.0 \n",
+ " 254.0 \n",
+ " 36.00 \n",
" 3.0 \n",
- " 3.00 \n",
+ " 4.00 \n",
" 1.0 \n",
- " 1081.0 \n",
- " 224.00 \n",
- " 180.00 \n",
- " 55.40 \n",
+ " 1145.0 \n",
+ " 239.0 \n",
+ " 193.0 \n",
+ " 55.30 \n",
" \n",
" \n",
" Cremonese \n",
" Cremonese \n",
- " 29.00 \n",
- " 43.600 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 30.00 \n",
+ " 44.20 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 7.0 \n",
" 2.00 \n",
" 4.0 \n",
" ... \n",
- " 217.00 \n",
- " 254.0 \n",
- " 32.0 \n",
+ " 232.0 \n",
+ " 264.0 \n",
+ " 33.00 \n",
" 3.0 \n",
" 4.00 \n",
" 0.0 \n",
- " 1106.0 \n",
- " 367.00 \n",
- " 273.00 \n",
- " 57.30 \n",
+ " 1168.0 \n",
+ " 388.0 \n",
+ " 296.0 \n",
+ " 56.70 \n",
" \n",
" \n",
" Empoli \n",
" Empoli \n",
- " 26.00 \n",
- " 46.400 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 27.00 \n",
+ " 46.80 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 19.0 \n",
" 11.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 260.00 \n",
- " 226.0 \n",
- " 32.0 \n",
+ " 270.0 \n",
+ " 244.0 \n",
+ " 35.00 \n",
" 2.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 1062.0 \n",
- " 231.00 \n",
- " 203.00 \n",
- " 53.20 \n",
+ " 1104.0 \n",
+ " 242.0 \n",
+ " 211.0 \n",
+ " 53.40 \n",
" \n",
" \n",
" Fiorentina \n",
" Fiorentina \n",
- " 27.00 \n",
- " 57.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 22.0 \n",
- " 17.0 \n",
+ " 28.00 \n",
+ " 57.30 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 23.0 \n",
+ " 18.0 \n",
" 2.00 \n",
" 4.0 \n",
" ... \n",
- " 271.00 \n",
- " 243.0 \n",
- " 53.0 \n",
+ " 296.0 \n",
+ " 252.0 \n",
+ " 54.00 \n",
" 1.0 \n",
" 4.00 \n",
" 0.0 \n",
- " 1005.0 \n",
- " 261.00 \n",
- " 302.00 \n",
+ " 1061.0 \n",
+ " 274.0 \n",
+ " 317.0 \n",
" 46.40 \n",
" \n",
" \n",
" Verona \n",
" Hellas Verona \n",
- " 32.00 \n",
- " 43.500 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 16.0 \n",
- " 13.0 \n",
+ " 34.00 \n",
+ " 43.10 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 17.0 \n",
+ " 14.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 201.00 \n",
- " 286.0 \n",
- " 22.0 \n",
+ " 213.0 \n",
+ " 302.0 \n",
+ " 24.00 \n",
" 1.0 \n",
" 0.00 \n",
" 2.0 \n",
- " 1096.0 \n",
- " 362.00 \n",
- " 411.00 \n",
- " 46.80 \n",
+ " 1173.0 \n",
+ " 385.0 \n",
+ " 422.0 \n",
+ " 47.70 \n",
" \n",
" \n",
" Inter \n",
" Inter \n",
" 23.00 \n",
- " 53.600 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 39.0 \n",
- " 26.0 \n",
+ " 54.00 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 40.0 \n",
+ " 27.0 \n",
" 2.00 \n",
" 2.0 \n",
" ... \n",
- " 249.00 \n",
- " 224.0 \n",
- " 18.0 \n",
+ " 263.0 \n",
+ " 237.0 \n",
+ " 19.00 \n",
" 2.0 \n",
" 2.00 \n",
" 1.0 \n",
- " 914.0 \n",
- " 204.00 \n",
- " 251.00 \n",
- " 44.80 \n",
+ " 960.0 \n",
+ " 221.0 \n",
+ " 266.0 \n",
+ " 45.40 \n",
" \n",
" \n",
" Juventus \n",
" Juventus \n",
" 26.00 \n",
- " 49.400 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 30.0 \n",
- " 23.0 \n",
- " 2.00 \n",
- " 3.0 \n",
- " ... \n",
- " 220.00 \n",
- " 221.0 \n",
- " 27.0 \n",
- " 0.0 \n",
+ " 49.20 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 33.0 \n",
+ " 25.0 \n",
" 3.00 \n",
+ " 4.0 \n",
+ " ... \n",
+ " 229.0 \n",
+ " 232.0 \n",
+ " 27.00 \n",
" 0.0 \n",
- " 1007.0 \n",
- " 240.00 \n",
- " 247.00 \n",
- " 49.30 \n",
+ " 4.00 \n",
+ " 0.0 \n",
+ " 1064.0 \n",
+ " 247.0 \n",
+ " 257.0 \n",
+ " 49.00 \n",
" \n",
" \n",
" Lazio \n",
" Lazio \n",
" 21.00 \n",
- " 50.900 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 35.0 \n",
- " 25.0 \n",
+ " 51.40 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 36.0 \n",
+ " 26.0 \n",
" 3.00 \n",
" 4.0 \n",
" ... \n",
- " 278.00 \n",
- " 196.0 \n",
- " 44.0 \n",
+ " 294.0 \n",
+ " 206.0 \n",
+ " 44.00 \n",
" 1.0 \n",
" 4.00 \n",
" 1.0 \n",
- " 1085.0 \n",
- " 196.00 \n",
- " 193.00 \n",
- " 50.40 \n",
+ " 1157.0 \n",
+ " 207.0 \n",
+ " 216.0 \n",
+ " 48.90 \n",
" \n",
" \n",
" Lecce \n",
" Lecce \n",
" 26.00 \n",
- " 42.500 \n",
+ " 42.40 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 18.0 \n",
- " 12.0 \n",
+ " 14.0 \n",
" 1.00 \n",
" 2.0 \n",
" ... \n",
- " 263.00 \n",
- " 265.0 \n",
- " 43.0 \n",
+ " 275.0 \n",
+ " 279.0 \n",
+ " 45.00 \n",
" 3.0 \n",
" 2.00 \n",
" 1.0 \n",
- " 1072.0 \n",
- " 373.00 \n",
- " 295.00 \n",
- " 55.80 \n",
+ " 1141.0 \n",
+ " 396.0 \n",
+ " 316.0 \n",
+ " 55.60 \n",
" \n",
" \n",
" Milan \n",
" Milan \n",
" 27.00 \n",
- " 54.800 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 53.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 35.0 \n",
" 30.0 \n",
" 2.00 \n",
" 2.0 \n",
" ... \n",
- " 242.00 \n",
- " 237.0 \n",
- " 23.0 \n",
+ " 255.0 \n",
+ " 251.0 \n",
+ " 25.00 \n",
" 4.0 \n",
" 2.00 \n",
" 2.0 \n",
- " 1005.0 \n",
- " 234.00 \n",
- " 288.00 \n",
- " 44.80 \n",
+ " 1059.0 \n",
+ " 249.0 \n",
+ " 305.0 \n",
+ " 44.90 \n",
" \n",
" \n",
" Monza \n",
" Monza \n",
" 29.00 \n",
- " 55.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 24.0 \n",
- " 15.0 \n",
- " 3.00 \n",
- " 3.0 \n",
+ " 55.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 26.0 \n",
+ " 16.0 \n",
+ " 4.00 \n",
+ " 4.0 \n",
" ... \n",
- " 291.00 \n",
- " 251.0 \n",
- " 37.0 \n",
+ " 303.0 \n",
+ " 263.0 \n",
+ " 37.00 \n",
" 0.0 \n",
- " 3.00 \n",
+ " 4.00 \n",
" 1.0 \n",
- " 1023.0 \n",
- " 214.00 \n",
- " 225.00 \n",
- " 48.70 \n",
+ " 1075.0 \n",
+ " 226.0 \n",
+ " 241.0 \n",
+ " 48.40 \n",
" \n",
" \n",
" Napoli \n",
" Napoli \n",
" 24.00 \n",
- " 61.000 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 48.0 \n",
- " 39.0 \n",
- " 4.00 \n",
- " 5.0 \n",
+ " 61.40 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 51.0 \n",
+ " 40.0 \n",
+ " 5.00 \n",
+ " 6.0 \n",
" ... \n",
- " 272.00 \n",
- " 174.0 \n",
- " 27.0 \n",
+ " 291.0 \n",
+ " 192.0 \n",
+ " 28.00 \n",
" 1.0 \n",
- " 4.00 \n",
+ " 5.00 \n",
" 0.0 \n",
- " 995.0 \n",
- " 210.00 \n",
- " 244.00 \n",
- " 46.30 \n",
+ " 1049.0 \n",
+ " 214.0 \n",
+ " 259.0 \n",
+ " 45.20 \n",
" \n",
" \n",
" Roma \n",
" Roma \n",
- " 25.00 \n",
- " 49.100 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 26.0 \n",
- " 17.0 \n",
+ " 26.00 \n",
+ " 48.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 28.0 \n",
+ " 19.0 \n",
" 3.00 \n",
" 5.0 \n",
" ... \n",
- " 274.00 \n",
- " 228.0 \n",
- " 10.0 \n",
+ " 292.0 \n",
+ " 238.0 \n",
+ " 10.00 \n",
" 0.0 \n",
" 5.00 \n",
" 0.0 \n",
- " 1048.0 \n",
- " 197.00 \n",
- " 234.00 \n",
- " 45.70 \n",
+ " 1095.0 \n",
+ " 205.0 \n",
+ " 245.0 \n",
+ " 45.60 \n",
" \n",
" \n",
" Salernitana \n",
" Salernitana \n",
" 28.00 \n",
- " 44.800 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 45.10 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 24.0 \n",
" 16.0 \n",
" 1.00 \n",
" 1.0 \n",
" ... \n",
- " 226.00 \n",
- " 233.0 \n",
- " 49.0 \n",
- " 7.0 \n",
+ " 238.0 \n",
+ " 242.0 \n",
+ " 52.00 \n",
+ " 8.0 \n",
" 1.00 \n",
" 1.0 \n",
- " 1084.0 \n",
- " 258.00 \n",
- " 240.00 \n",
- " 51.80 \n",
+ " 1143.0 \n",
+ " 268.0 \n",
+ " 247.0 \n",
+ " 52.00 \n",
" \n",
" \n",
" Sampdoria \n",
" Sampdoria \n",
- " 30.00 \n",
- " 48.900 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 31.00 \n",
+ " 47.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 10.0 \n",
" 8.0 \n",
- " 7.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 316.00 \n",
- " 277.0 \n",
- " 56.0 \n",
- " 3.0 \n",
+ " 328.0 \n",
+ " 288.0 \n",
+ " 56.00 \n",
+ " 4.0 \n",
" 0.00 \n",
" 0.0 \n",
- " 1075.0 \n",
- " 324.00 \n",
- " 327.00 \n",
- " 49.80 \n",
+ " 1126.0 \n",
+ " 340.0 \n",
+ " 339.0 \n",
+ " 50.10 \n",
" \n",
" \n",
" Sassuolo \n",
" Sassuolo \n",
- " 27.00 \n",
- " 48.300 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 23.0 \n",
- " 17.0 \n",
+ " 29.00 \n",
+ " 48.50 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 24.0 \n",
+ " 18.0 \n",
" 4.00 \n",
" 5.0 \n",
" ... \n",
- " 262.00 \n",
- " 190.0 \n",
- " 67.0 \n",
+ " 275.0 \n",
+ " 200.0 \n",
+ " 69.00 \n",
" 2.0 \n",
" 5.00 \n",
" 0.0 \n",
- " 1043.0 \n",
- " 229.00 \n",
- " 183.00 \n",
- " 55.60 \n",
+ " 1088.0 \n",
+ " 243.0 \n",
+ " 195.0 \n",
+ " 55.50 \n",
" \n",
" \n",
" Spezia \n",
" Spezia \n",
- " 30.00 \n",
- " 46.700 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 33.00 \n",
+ " 45.90 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 15.0 \n",
" 10.0 \n",
" 2.00 \n",
" 2.0 \n",
" ... \n",
- " 207.00 \n",
- " 261.0 \n",
- " 46.0 \n",
+ " 225.0 \n",
+ " 279.0 \n",
+ " 50.00 \n",
" 1.0 \n",
" 2.00 \n",
" 2.0 \n",
- " 1182.0 \n",
- " 322.00 \n",
- " 281.00 \n",
- " 53.40 \n",
+ " 1225.0 \n",
+ " 337.0 \n",
+ " 285.0 \n",
+ " 54.20 \n",
" \n",
" \n",
" Torino \n",
" Torino \n",
- " 24.00 \n",
- " 52.900 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.00 \n",
+ " 53.00 \n",
" 21.0 \n",
- " 16.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 22.0 \n",
+ " 17.0 \n",
" 1.00 \n",
" 1.0 \n",
" ... \n",
- " 221.00 \n",
- " 274.0 \n",
- " 22.0 \n",
+ " 229.0 \n",
+ " 287.0 \n",
+ " 23.00 \n",
" 3.0 \n",
" 1.00 \n",
" 0.0 \n",
- " 1045.0 \n",
- " 337.00 \n",
- " 309.00 \n",
- " 52.20 \n",
+ " 1095.0 \n",
+ " 347.0 \n",
+ " 319.0 \n",
+ " 52.10 \n",
" \n",
" \n",
" Udinese \n",
" Udinese \n",
- " 23.00 \n",
- " 50.400 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
+ " 25.00 \n",
+ " 50.00 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
" 27.0 \n",
" 23.0 \n",
" 0.00 \n",
" 0.0 \n",
" ... \n",
- " 261.00 \n",
- " 235.0 \n",
- " 31.0 \n",
+ " 274.0 \n",
+ " 242.0 \n",
+ " 34.00 \n",
" 2.0 \n",
" 0.00 \n",
" 1.0 \n",
- " 1010.0 \n",
- " 212.00 \n",
- " 254.00 \n",
- " 45.50 \n",
+ " 1063.0 \n",
+ " 222.0 \n",
+ " 264.0 \n",
+ " 45.70 \n",
" \n",
" \n",
" Avg \n",
" Avg \n",
- " 26.25 \n",
- " 50.035 \n",
- " 20.0 \n",
- " 220.0 \n",
- " 1800.0 \n",
- " 25.4 \n",
- " 18.5 \n",
- " 2.05 \n",
- " 2.7 \n",
+ " 27.05 \n",
+ " 49.99 \n",
+ " 21.0 \n",
+ " 231.0 \n",
+ " 1890.0 \n",
+ " 26.5 \n",
+ " 19.3 \n",
+ " 2.25 \n",
+ " 2.9 \n",
" ... \n",
- " 250.15 \n",
- " 236.8 \n",
- " 34.9 \n",
- " 2.0 \n",
- " 2.65 \n",
+ " 263.8 \n",
+ " 249.8 \n",
+ " 36.35 \n",
+ " 2.1 \n",
+ " 2.85 \n",
" 0.7 \n",
- " 1057.6 \n",
- " 262.15 \n",
- " 262.15 \n",
- " 49.91 \n",
+ " 1112.6 \n",
+ " 275.5 \n",
+ " 275.5 \n",
+ " 49.86 \n",
" \n",
" \n",
"\n",
- "21 rows × 321 columns
\n",
+ "21 rows × 303 columns
\n",
""
],
"text/plain": [
" team team_players_used team_possession team_games \\\n",
- "Atalanta Atalanta 24.00 49.100 20.0 \n",
- "Bologna Bologna 24.00 52.600 20.0 \n",
- "Cremonese Cremonese 29.00 43.600 20.0 \n",
- "Empoli Empoli 26.00 46.400 20.0 \n",
- "Fiorentina Fiorentina 27.00 57.100 20.0 \n",
- "Verona Hellas Verona 32.00 43.500 20.0 \n",
- "Inter Inter 23.00 53.600 20.0 \n",
- "Juventus Juventus 26.00 49.400 20.0 \n",
- "Lazio Lazio 21.00 50.900 20.0 \n",
- "Lecce Lecce 26.00 42.500 20.0 \n",
- "Milan Milan 27.00 54.800 20.0 \n",
- "Monza Monza 29.00 55.100 20.0 \n",
- "Napoli Napoli 24.00 61.000 20.0 \n",
- "Roma Roma 25.00 49.100 20.0 \n",
- "Salernitana Salernitana 28.00 44.800 20.0 \n",
- "Sampdoria Sampdoria 30.00 48.900 20.0 \n",
- "Sassuolo Sassuolo 27.00 48.300 20.0 \n",
- "Spezia Spezia 30.00 46.700 20.0 \n",
- "Torino Torino 24.00 52.900 20.0 \n",
- "Udinese Udinese 23.00 50.400 20.0 \n",
- "Avg Avg 26.25 50.035 20.0 \n",
+ "Atalanta Atalanta 24.00 49.00 21.0 \n",
+ "Bologna Bologna 25.00 51.90 21.0 \n",
+ "Cremonese Cremonese 30.00 44.20 21.0 \n",
+ "Empoli Empoli 27.00 46.80 21.0 \n",
+ "Fiorentina Fiorentina 28.00 57.30 21.0 \n",
+ "Verona Hellas Verona 34.00 43.10 21.0 \n",
+ "Inter Inter 23.00 54.00 21.0 \n",
+ "Juventus Juventus 26.00 49.20 21.0 \n",
+ "Lazio Lazio 21.00 51.40 21.0 \n",
+ "Lecce Lecce 26.00 42.40 21.0 \n",
+ "Milan Milan 27.00 53.90 21.0 \n",
+ "Monza Monza 29.00 55.90 21.0 \n",
+ "Napoli Napoli 24.00 61.40 21.0 \n",
+ "Roma Roma 26.00 48.90 21.0 \n",
+ "Salernitana Salernitana 28.00 45.10 21.0 \n",
+ "Sampdoria Sampdoria 31.00 47.90 21.0 \n",
+ "Sassuolo Sassuolo 29.00 48.50 21.0 \n",
+ "Spezia Spezia 33.00 45.90 21.0 \n",
+ "Torino Torino 25.00 53.00 21.0 \n",
+ "Udinese Udinese 25.00 50.00 21.0 \n",
+ "Avg Avg 27.05 49.99 21.0 \n",
"\n",
" team_games_starts team_minutes team_goals team_assists \\\n",
- "Atalanta 220.0 1800.0 38.0 27.0 \n",
- "Bologna 220.0 1800.0 25.0 19.0 \n",
- "Cremonese 220.0 1800.0 15.0 7.0 \n",
- "Empoli 220.0 1800.0 19.0 11.0 \n",
- "Fiorentina 220.0 1800.0 22.0 17.0 \n",
- "Verona 220.0 1800.0 16.0 13.0 \n",
- "Inter 220.0 1800.0 39.0 26.0 \n",
- "Juventus 220.0 1800.0 30.0 23.0 \n",
- "Lazio 220.0 1800.0 35.0 25.0 \n",
- "Lecce 220.0 1800.0 18.0 12.0 \n",
- "Milan 220.0 1800.0 35.0 30.0 \n",
- "Monza 220.0 1800.0 24.0 15.0 \n",
- "Napoli 220.0 1800.0 48.0 39.0 \n",
- "Roma 220.0 1800.0 26.0 17.0 \n",
- "Salernitana 220.0 1800.0 24.0 16.0 \n",
- "Sampdoria 220.0 1800.0 8.0 7.0 \n",
- "Sassuolo 220.0 1800.0 23.0 17.0 \n",
- "Spezia 220.0 1800.0 15.0 10.0 \n",
- "Torino 220.0 1800.0 21.0 16.0 \n",
- "Udinese 220.0 1800.0 27.0 23.0 \n",
- "Avg 220.0 1800.0 25.4 18.5 \n",
+ "Atalanta 231.0 1890.0 38.0 27.0 \n",
+ "Bologna 231.0 1890.0 27.0 20.0 \n",
+ "Cremonese 231.0 1890.0 15.0 7.0 \n",
+ "Empoli 231.0 1890.0 19.0 11.0 \n",
+ "Fiorentina 231.0 1890.0 23.0 18.0 \n",
+ "Verona 231.0 1890.0 17.0 14.0 \n",
+ "Inter 231.0 1890.0 40.0 27.0 \n",
+ "Juventus 231.0 1890.0 33.0 25.0 \n",
+ "Lazio 231.0 1890.0 36.0 26.0 \n",
+ "Lecce 231.0 1890.0 20.0 14.0 \n",
+ "Milan 231.0 1890.0 35.0 30.0 \n",
+ "Monza 231.0 1890.0 26.0 16.0 \n",
+ "Napoli 231.0 1890.0 51.0 40.0 \n",
+ "Roma 231.0 1890.0 28.0 19.0 \n",
+ "Salernitana 231.0 1890.0 24.0 16.0 \n",
+ "Sampdoria 231.0 1890.0 10.0 8.0 \n",
+ "Sassuolo 231.0 1890.0 24.0 18.0 \n",
+ "Spezia 231.0 1890.0 15.0 10.0 \n",
+ "Torino 231.0 1890.0 22.0 17.0 \n",
+ "Udinese 231.0 1890.0 27.0 23.0 \n",
+ "Avg 231.0 1890.0 26.5 19.3 \n",
"\n",
" team_pens_made team_pens_att ... vs_team_fouls \\\n",
- "Atalanta 6.00 8.0 ... 220.00 \n",
- "Bologna 3.00 3.0 ... 252.00 \n",
- "Cremonese 2.00 4.0 ... 217.00 \n",
- "Empoli 0.00 0.0 ... 260.00 \n",
- "Fiorentina 2.00 4.0 ... 271.00 \n",
- "Verona 0.00 0.0 ... 201.00 \n",
- "Inter 2.00 2.0 ... 249.00 \n",
- "Juventus 2.00 3.0 ... 220.00 \n",
- "Lazio 3.00 4.0 ... 278.00 \n",
- "Lecce 1.00 2.0 ... 263.00 \n",
- "Milan 2.00 2.0 ... 242.00 \n",
- "Monza 3.00 3.0 ... 291.00 \n",
- "Napoli 4.00 5.0 ... 272.00 \n",
- "Roma 3.00 5.0 ... 274.00 \n",
- "Salernitana 1.00 1.0 ... 226.00 \n",
- "Sampdoria 0.00 0.0 ... 316.00 \n",
- "Sassuolo 4.00 5.0 ... 262.00 \n",
- "Spezia 2.00 2.0 ... 207.00 \n",
- "Torino 1.00 1.0 ... 221.00 \n",
- "Udinese 0.00 0.0 ... 261.00 \n",
- "Avg 2.05 2.7 ... 250.15 \n",
+ "Atalanta 6.00 8.0 ... 232.0 \n",
+ "Bologna 4.00 4.0 ... 262.0 \n",
+ "Cremonese 2.00 4.0 ... 232.0 \n",
+ "Empoli 0.00 0.0 ... 270.0 \n",
+ "Fiorentina 2.00 4.0 ... 296.0 \n",
+ "Verona 0.00 0.0 ... 213.0 \n",
+ "Inter 2.00 2.0 ... 263.0 \n",
+ "Juventus 3.00 4.0 ... 229.0 \n",
+ "Lazio 3.00 4.0 ... 294.0 \n",
+ "Lecce 1.00 2.0 ... 275.0 \n",
+ "Milan 2.00 2.0 ... 255.0 \n",
+ "Monza 4.00 4.0 ... 303.0 \n",
+ "Napoli 5.00 6.0 ... 291.0 \n",
+ "Roma 3.00 5.0 ... 292.0 \n",
+ "Salernitana 1.00 1.0 ... 238.0 \n",
+ "Sampdoria 0.00 0.0 ... 328.0 \n",
+ "Sassuolo 4.00 5.0 ... 275.0 \n",
+ "Spezia 2.00 2.0 ... 225.0 \n",
+ "Torino 1.00 1.0 ... 229.0 \n",
+ "Udinese 0.00 0.0 ... 274.0 \n",
+ "Avg 2.25 2.9 ... 263.8 \n",
"\n",
" vs_team_fouled vs_team_offsides vs_team_pens_won \\\n",
- "Atalanta 232.0 26.0 1.0 \n",
- "Bologna 229.0 33.0 3.0 \n",
- "Cremonese 254.0 32.0 3.0 \n",
- "Empoli 226.0 32.0 2.0 \n",
- "Fiorentina 243.0 53.0 1.0 \n",
- "Verona 286.0 22.0 1.0 \n",
- "Inter 224.0 18.0 2.0 \n",
- "Juventus 221.0 27.0 0.0 \n",
- "Lazio 196.0 44.0 1.0 \n",
- "Lecce 265.0 43.0 3.0 \n",
- "Milan 237.0 23.0 4.0 \n",
- "Monza 251.0 37.0 0.0 \n",
- "Napoli 174.0 27.0 1.0 \n",
- "Roma 228.0 10.0 0.0 \n",
- "Salernitana 233.0 49.0 7.0 \n",
- "Sampdoria 277.0 56.0 3.0 \n",
- "Sassuolo 190.0 67.0 2.0 \n",
- "Spezia 261.0 46.0 1.0 \n",
- "Torino 274.0 22.0 3.0 \n",
- "Udinese 235.0 31.0 2.0 \n",
- "Avg 236.8 34.9 2.0 \n",
+ "Atalanta 244.0 26.00 1.0 \n",
+ "Bologna 254.0 36.00 3.0 \n",
+ "Cremonese 264.0 33.00 3.0 \n",
+ "Empoli 244.0 35.00 2.0 \n",
+ "Fiorentina 252.0 54.00 1.0 \n",
+ "Verona 302.0 24.00 1.0 \n",
+ "Inter 237.0 19.00 2.0 \n",
+ "Juventus 232.0 27.00 0.0 \n",
+ "Lazio 206.0 44.00 1.0 \n",
+ "Lecce 279.0 45.00 3.0 \n",
+ "Milan 251.0 25.00 4.0 \n",
+ "Monza 263.0 37.00 0.0 \n",
+ "Napoli 192.0 28.00 1.0 \n",
+ "Roma 238.0 10.00 0.0 \n",
+ "Salernitana 242.0 52.00 8.0 \n",
+ "Sampdoria 288.0 56.00 4.0 \n",
+ "Sassuolo 200.0 69.00 2.0 \n",
+ "Spezia 279.0 50.00 1.0 \n",
+ "Torino 287.0 23.00 3.0 \n",
+ "Udinese 242.0 34.00 2.0 \n",
+ "Avg 249.8 36.35 2.1 \n",
"\n",
" vs_team_pens_conceded vs_team_own_goals \\\n",
"Atalanta 8.00 1.0 \n",
- "Bologna 3.00 1.0 \n",
+ "Bologna 4.00 1.0 \n",
"Cremonese 4.00 0.0 \n",
"Empoli 0.00 0.0 \n",
"Fiorentina 4.00 0.0 \n",
"Verona 0.00 2.0 \n",
"Inter 2.00 1.0 \n",
- "Juventus 3.00 0.0 \n",
+ "Juventus 4.00 0.0 \n",
"Lazio 4.00 1.0 \n",
"Lecce 2.00 1.0 \n",
"Milan 2.00 2.0 \n",
- "Monza 3.00 1.0 \n",
- "Napoli 4.00 0.0 \n",
+ "Monza 4.00 1.0 \n",
+ "Napoli 5.00 0.0 \n",
"Roma 5.00 0.0 \n",
"Salernitana 1.00 1.0 \n",
"Sampdoria 0.00 0.0 \n",
@@ -1575,58 +1575,58 @@
"Spezia 2.00 2.0 \n",
"Torino 1.00 0.0 \n",
"Udinese 0.00 1.0 \n",
- "Avg 2.65 0.7 \n",
+ "Avg 2.85 0.7 \n",
"\n",
" vs_team_ball_recoveries vs_team_aerials_won \\\n",
- "Atalanta 1214.0 248.00 \n",
- "Bologna 1081.0 224.00 \n",
- "Cremonese 1106.0 367.00 \n",
- "Empoli 1062.0 231.00 \n",
- "Fiorentina 1005.0 261.00 \n",
- "Verona 1096.0 362.00 \n",
- "Inter 914.0 204.00 \n",
- "Juventus 1007.0 240.00 \n",
- "Lazio 1085.0 196.00 \n",
- "Lecce 1072.0 373.00 \n",
- "Milan 1005.0 234.00 \n",
- "Monza 1023.0 214.00 \n",
- "Napoli 995.0 210.00 \n",
- "Roma 1048.0 197.00 \n",
- "Salernitana 1084.0 258.00 \n",
- "Sampdoria 1075.0 324.00 \n",
- "Sassuolo 1043.0 229.00 \n",
- "Spezia 1182.0 322.00 \n",
- "Torino 1045.0 337.00 \n",
- "Udinese 1010.0 212.00 \n",
- "Avg 1057.6 262.15 \n",
+ "Atalanta 1261.0 260.0 \n",
+ "Bologna 1145.0 239.0 \n",
+ "Cremonese 1168.0 388.0 \n",
+ "Empoli 1104.0 242.0 \n",
+ "Fiorentina 1061.0 274.0 \n",
+ "Verona 1173.0 385.0 \n",
+ "Inter 960.0 221.0 \n",
+ "Juventus 1064.0 247.0 \n",
+ "Lazio 1157.0 207.0 \n",
+ "Lecce 1141.0 396.0 \n",
+ "Milan 1059.0 249.0 \n",
+ "Monza 1075.0 226.0 \n",
+ "Napoli 1049.0 214.0 \n",
+ "Roma 1095.0 205.0 \n",
+ "Salernitana 1143.0 268.0 \n",
+ "Sampdoria 1126.0 340.0 \n",
+ "Sassuolo 1088.0 243.0 \n",
+ "Spezia 1225.0 337.0 \n",
+ "Torino 1095.0 347.0 \n",
+ "Udinese 1063.0 222.0 \n",
+ "Avg 1112.6 275.5 \n",
"\n",
" vs_team_aerials_lost vs_team_aerials_won_pct \n",
- "Atalanta 303.00 45.00 \n",
- "Bologna 180.00 55.40 \n",
- "Cremonese 273.00 57.30 \n",
- "Empoli 203.00 53.20 \n",
- "Fiorentina 302.00 46.40 \n",
- "Verona 411.00 46.80 \n",
- "Inter 251.00 44.80 \n",
- "Juventus 247.00 49.30 \n",
- "Lazio 193.00 50.40 \n",
- "Lecce 295.00 55.80 \n",
- "Milan 288.00 44.80 \n",
- "Monza 225.00 48.70 \n",
- "Napoli 244.00 46.30 \n",
- "Roma 234.00 45.70 \n",
- "Salernitana 240.00 51.80 \n",
- "Sampdoria 327.00 49.80 \n",
- "Sassuolo 183.00 55.60 \n",
- "Spezia 281.00 53.40 \n",
- "Torino 309.00 52.20 \n",
- "Udinese 254.00 45.50 \n",
- "Avg 262.15 49.91 \n",
+ "Atalanta 317.0 45.10 \n",
+ "Bologna 193.0 55.30 \n",
+ "Cremonese 296.0 56.70 \n",
+ "Empoli 211.0 53.40 \n",
+ "Fiorentina 317.0 46.40 \n",
+ "Verona 422.0 47.70 \n",
+ "Inter 266.0 45.40 \n",
+ "Juventus 257.0 49.00 \n",
+ "Lazio 216.0 48.90 \n",
+ "Lecce 316.0 55.60 \n",
+ "Milan 305.0 44.90 \n",
+ "Monza 241.0 48.40 \n",
+ "Napoli 259.0 45.20 \n",
+ "Roma 245.0 45.60 \n",
+ "Salernitana 247.0 52.00 \n",
+ "Sampdoria 339.0 50.10 \n",
+ "Sassuolo 195.0 55.50 \n",
+ "Spezia 285.0 54.20 \n",
+ "Torino 319.0 52.10 \n",
+ "Udinese 264.0 45.70 \n",
+ "Avg 275.5 49.86 \n",
"\n",
- "[21 rows x 321 columns]"
+ "[21 rows x 303 columns]"
]
},
- "execution_count": 60,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -1652,8 +1652,8 @@
},
{
"cell_type": "code",
- "execution_count": 61,
- "id": "f4017b2f",
+ "execution_count": 8,
+ "id": "32f56138",
"metadata": {},
"outputs": [],
"source": [
@@ -1665,8 +1665,8 @@
" 'goals_per_shot',\n",
" 'goals_per_shot_on_target',\n",
" 'passes_pct',\n",
- " 'dribble_tackles_pct',\n",
- " 'dribbles_completed_pct',\n",
+ " #'dribble_tackles_pct',\n",
+ " #'dribbles_completed_pct',\n",
" 'aerials_won_pct',\n",
" 'team_possession',\n",
" 'team_goals_assists_per90',\n",
@@ -1681,7 +1681,7 @@
" 'team_passes_pct_long',\n",
" 'team_sca_per90',\n",
" 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
+ " #'team_dribble_tackles_pct',\n",
" 'team_aerials_won_pct',\n",
" 'vs_team_possession',\n",
" 'vs_team_goals_per90',\n",
@@ -1698,8 +1698,8 @@
" 'vs_team_passes_pct_long',\n",
" 'vs_team_sca_per90',\n",
" 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
" 'vs_team_aerials_won_pct',\n",
" 'opp_team_possession',\n",
" 'opp_team_goals_assists_per90',\n",
@@ -1714,7 +1714,7 @@
" 'opp_team_passes_pct_long',\n",
" 'opp_team_sca_per90',\n",
" 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
" 'opp_team_aerials_won_pct',\n",
" 'opp_vs_team_possession',\n",
" 'opp_vs_team_goals_per90',\n",
@@ -1731,8 +1731,8 @@
" 'opp_vs_team_passes_pct_long',\n",
" 'opp_vs_team_sca_per90',\n",
" 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
" 'opp_vs_team_aerials_won_pct',\n",
" \n",
" 'vote_avg',\n",
@@ -1756,9 +1756,9 @@
" 'passes_switches',\n",
" 'crosses',\n",
" 'corner_kicks',\n",
- " 'dribble_tackles',\n",
- " 'dribbles_vs',\n",
- " 'dribbled_past',\n",
+ " #'dribble_tackles',\n",
+ " #'dribbles_vs',\n",
+ " #'dribbled_past',\n",
" 'blocks',\n",
" 'blocked_shots',\n",
" 'blocked_passes',\n",
@@ -1772,8 +1772,8 @@
" 'touches_att_3rd',\n",
" 'touches_att_pen_area',\n",
" 'touches_live_ball',\n",
- " 'dribbles_completed',\n",
- " 'dribbles',\n",
+ " #'dribbles_completed',\n",
+ " #'dribbles',\n",
" 'passes_received',\n",
" 'miscontrols',\n",
" 'dispossessed',\n",
@@ -1788,13 +1788,134 @@
"\n",
"features_rel_gamecorr = [\n",
" 'goals',\n",
+ " 'assists',\n",
" 'xg',\n",
" 'npxg',\n",
- " 'assists',\n",
" 'cards_yellow',\n",
" 'cards_red'\n",
- "]\n",
+ "]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "4001f3f8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "features_abs_gk = [\n",
+ " 'gk_games',\n",
+ " 'gk_games_starts',\n",
+ " 'gk_minutes',\n",
+ " 'gk_goals_against_per90', \n",
+ " 'gk_save_pct',\n",
+ " 'gk_clean_sheets_pct',\n",
+ " 'gk_psxg_net_per90',\n",
+ " 'gk_passes_pct_launched',\n",
+ " 'gk_pct_passes_launched',\n",
+ " 'gk_passes_length_avg',\n",
+ " 'gk_pct_goal_kicks_launched',\n",
+ " 'gk_goal_kick_length_avg',\n",
+ " 'gk_crosses_stopped_pct',\n",
+ " 'gk_def_actions_outside_pen_area_per90',\n",
+ " 'gk_avg_distance_def_actions',\n",
+ " \n",
+ " 'team_possession',\n",
+ " 'team_goals_assists_per90',\n",
+ " 'team_goals_pens_per90',\n",
+ " 'team_goals_assists_pens_per90',\n",
+ " 'team_xg_per90',\n",
+ " 'team_gk_goals_against_per90',\n",
+ " 'team_gk_save_pct',\n",
+ " 'team_gk_clean_sheets_pct',\n",
+ " 'team_passes_pct',\n",
+ " 'team_passes_pct_medium',\n",
+ " 'team_passes_pct_long',\n",
+ " 'team_sca_per90',\n",
+ " 'team_gca_per90',\n",
+ " #'team_dribble_tackles_pct',\n",
+ " 'team_aerials_won_pct',\n",
+ " 'vs_team_possession',\n",
+ " 'vs_team_goals_per90',\n",
+ " 'vs_team_assists_per90',\n",
+ " 'vs_team_xg_per90',\n",
+ " 'vs_team_gk_save_pct',\n",
+ " 'vs_team_gk_clean_sheets_pct',\n",
+ " 'vs_team_gk_pct_passes_launched',\n",
+ " 'vs_team_gk_crosses_stopped_pct',\n",
+ " 'vs_team_shots_on_target_per90',\n",
+ " 'vs_team_passes_pct',\n",
+ " 'vs_team_passes_pct_short',\n",
+ " 'vs_team_passes_pct_medium',\n",
+ " 'vs_team_passes_pct_long',\n",
+ " 'vs_team_sca_per90',\n",
+ " 'vs_team_gca_per90',\n",
+ " #'vs_team_dribble_tackles_pct',\n",
+ " #'vs_team_dribbles_completed_pct',\n",
+ " 'vs_team_aerials_won_pct',\n",
+ " 'opp_team_possession',\n",
+ " 'opp_team_goals_assists_per90',\n",
+ " 'opp_team_goals_pens_per90',\n",
+ " 'opp_team_goals_assists_pens_per90',\n",
+ " 'opp_team_xg_per90',\n",
+ " 'opp_team_gk_goals_against_per90',\n",
+ " 'opp_team_gk_save_pct',\n",
+ " 'opp_team_gk_clean_sheets_pct',\n",
+ " 'opp_team_passes_pct',\n",
+ " 'opp_team_passes_pct_medium',\n",
+ " 'opp_team_passes_pct_long',\n",
+ " 'opp_team_sca_per90',\n",
+ " 'opp_team_gca_per90',\n",
+ " #'opp_team_dribble_tackles_pct',\n",
+ " 'opp_team_aerials_won_pct',\n",
+ " 'opp_vs_team_possession',\n",
+ " 'opp_vs_team_goals_per90',\n",
+ " 'opp_vs_team_assists_per90',\n",
+ " 'opp_vs_team_xg_per90',\n",
+ " 'opp_vs_team_gk_save_pct',\n",
+ " 'opp_vs_team_gk_clean_sheets_pct',\n",
+ " 'opp_vs_team_gk_pct_passes_launched',\n",
+ " 'opp_vs_team_gk_crosses_stopped_pct',\n",
+ " 'opp_vs_team_shots_on_target_per90',\n",
+ " 'opp_vs_team_passes_pct',\n",
+ " 'opp_vs_team_passes_pct_short',\n",
+ " 'opp_vs_team_passes_pct_medium',\n",
+ " 'opp_vs_team_passes_pct_long',\n",
+ " 'opp_vs_team_sca_per90',\n",
+ " 'opp_vs_team_gca_per90',\n",
+ " #'opp_vs_team_dribble_tackles_pct',\n",
+ " #'opp_vs_team_dribbles_completed_pct',\n",
+ " 'opp_vs_team_aerials_won_pct',\n",
+ " \n",
+ " 'vote_avg',\n",
+ " 'vote_std']\n",
"\n",
+ "features_rel_gk = [\n",
+ " 'gk_shots_on_target_against',\n",
+ " 'gk_saves',\n",
+ " 'gk_free_kick_goals_against',\n",
+ " 'gk_corner_kick_goals_against',\n",
+ " 'gk_own_goals_against',\n",
+ " 'gk_psxg',\n",
+ " 'gk_psnpxg_per_shot_on_target_against',\n",
+ " 'gk_psxg_net',\n",
+ " 'gk_passes_completed_launched',\n",
+ " 'gk_passes_launched',\n",
+ " 'gk_passes',\n",
+ " 'gk_passes_throws',\n",
+ " 'gk_goal_kicks',\n",
+ " 'gk_crosses',\n",
+ " 'gk_crosses_stopped',\n",
+ "]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "f4017b2f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
"DEL_G = False\n",
"\n",
"features_to_del = [\n",
@@ -1842,114 +1963,6 @@
" \n",
" return out\n",
"\n",
- "\n",
- "\n",
- "\n",
- "features_abs_gk = [\n",
- " 'gk_games',\n",
- " 'gk_games_starts',\n",
- " 'gk_minutes',\n",
- " 'gk_goals_against_per90', \n",
- " 'gk_save_pct',\n",
- " 'gk_clean_sheets_pct',\n",
- " 'gk_psxg_net_per90',\n",
- " 'gk_passes_pct_launched',\n",
- " 'gk_pct_passes_launched',\n",
- " 'gk_passes_length_avg',\n",
- " 'gk_pct_goal_kicks_launched',\n",
- " 'gk_goal_kick_length_avg',\n",
- " 'gk_crosses_stopped_pct',\n",
- " 'gk_def_actions_outside_pen_area_per90',\n",
- " 'gk_avg_distance_def_actions',\n",
- " \n",
- " 'team_possession',\n",
- " 'team_goals_assists_per90',\n",
- " 'team_goals_pens_per90',\n",
- " 'team_goals_assists_pens_per90',\n",
- " 'team_xg_per90',\n",
- " 'team_gk_goals_against_per90',\n",
- " 'team_gk_save_pct',\n",
- " 'team_gk_clean_sheets_pct',\n",
- " 'team_passes_pct',\n",
- " 'team_passes_pct_medium',\n",
- " 'team_passes_pct_long',\n",
- " 'team_sca_per90',\n",
- " 'team_gca_per90',\n",
- " 'team_dribble_tackles_pct',\n",
- " 'team_aerials_won_pct',\n",
- " 'vs_team_possession',\n",
- " 'vs_team_goals_per90',\n",
- " 'vs_team_assists_per90',\n",
- " 'vs_team_xg_per90',\n",
- " 'vs_team_gk_save_pct',\n",
- " 'vs_team_gk_clean_sheets_pct',\n",
- " 'vs_team_gk_pct_passes_launched',\n",
- " 'vs_team_gk_crosses_stopped_pct',\n",
- " 'vs_team_shots_on_target_per90',\n",
- " 'vs_team_passes_pct',\n",
- " 'vs_team_passes_pct_short',\n",
- " 'vs_team_passes_pct_medium',\n",
- " 'vs_team_passes_pct_long',\n",
- " 'vs_team_sca_per90',\n",
- " 'vs_team_gca_per90',\n",
- " 'vs_team_dribble_tackles_pct',\n",
- " 'vs_team_dribbles_completed_pct',\n",
- " 'vs_team_aerials_won_pct',\n",
- " 'opp_team_possession',\n",
- " 'opp_team_goals_assists_per90',\n",
- " 'opp_team_goals_pens_per90',\n",
- " 'opp_team_goals_assists_pens_per90',\n",
- " 'opp_team_xg_per90',\n",
- " 'opp_team_gk_goals_against_per90',\n",
- " 'opp_team_gk_save_pct',\n",
- " 'opp_team_gk_clean_sheets_pct',\n",
- " 'opp_team_passes_pct',\n",
- " 'opp_team_passes_pct_medium',\n",
- " 'opp_team_passes_pct_long',\n",
- " 'opp_team_sca_per90',\n",
- " 'opp_team_gca_per90',\n",
- " 'opp_team_dribble_tackles_pct',\n",
- " 'opp_team_aerials_won_pct',\n",
- " 'opp_vs_team_possession',\n",
- " 'opp_vs_team_goals_per90',\n",
- " 'opp_vs_team_assists_per90',\n",
- " 'opp_vs_team_xg_per90',\n",
- " 'opp_vs_team_gk_save_pct',\n",
- " 'opp_vs_team_gk_clean_sheets_pct',\n",
- " 'opp_vs_team_gk_pct_passes_launched',\n",
- " 'opp_vs_team_gk_crosses_stopped_pct',\n",
- " 'opp_vs_team_shots_on_target_per90',\n",
- " 'opp_vs_team_passes_pct',\n",
- " 'opp_vs_team_passes_pct_short',\n",
- " 'opp_vs_team_passes_pct_medium',\n",
- " 'opp_vs_team_passes_pct_long',\n",
- " 'opp_vs_team_sca_per90',\n",
- " 'opp_vs_team_gca_per90',\n",
- " 'opp_vs_team_dribble_tackles_pct',\n",
- " 'opp_vs_team_dribbles_completed_pct',\n",
- " 'opp_vs_team_aerials_won_pct',\n",
- " \n",
- " 'vote_avg',\n",
- " 'vote_std']\n",
- "\n",
- "features_rel_gk = [\n",
- " 'gk_shots_on_target_against',\n",
- " 'gk_saves',\n",
- " 'gk_free_kick_goals_against',\n",
- " 'gk_corner_kick_goals_against',\n",
- " 'gk_own_goals_against',\n",
- " 'gk_psxg',\n",
- " 'gk_psnpxg_per_shot_on_target_against',\n",
- " 'gk_psxg_net',\n",
- " 'gk_passes_completed_launched',\n",
- " 'gk_passes_launched',\n",
- " 'gk_passes',\n",
- " 'gk_passes_throws',\n",
- " 'gk_goal_kicks',\n",
- " 'gk_crosses',\n",
- " 'gk_crosses_stopped',\n",
- "]\n",
- "\n",
"def player_match_data_ext_gk(player, pteam, oppteam, oldseason = False):\n",
" pdata = player_match_data(player, pteam, oppteam, oldseason = oldseason)\n",
" \n",
@@ -1985,7 +1998,7 @@
},
{
"cell_type": "code",
- "execution_count": 62,
+ "execution_count": 11,
"id": "6f8707b8",
"metadata": {},
"outputs": [
@@ -2005,7 +2018,7 @@
"Sepe 1\n",
"Milinkovic-Savic V. 1\n",
"Musso 1\n",
- "Maignan 0.7353365384615383\n",
+ "Maignan 0.7094551282051282\n",
"Audero 1\n",
"Montipo' 1\n",
"Skorupski 1\n",
@@ -2013,377 +2026,375 @@
"Dragowski 1\n",
"Terracciano 1\n",
"Tatarusanu 1\n",
- "Handanovic 0.7268191268191269\n",
+ "Handanovic 0.7012375012375013\n",
"Sportiello 1\n",
"Perin 1\n",
"Zoet 1\n",
"Pegolo 1\n",
- "Mirante 0.7353365384615383\n",
- "Ujkani 1\n",
- "Berisha 1\n",
- "Marchetti 1\n",
- "Padelli 1\n",
- "Bardi 1\n",
- "Cordaz 1\n",
- "Pinsoglio 1\n",
- "Fiorillo 1\n",
- "Cragno 1\n",
- "Sirigu 1\n",
- "Rossi F. 1\n",
- "Berardi A. 1\n",
- "Gemello 1\n",
- "Ravaglia 1\n",
- "Boer 1\n",
- "Adamonis 1\n",
- "Marfella 1\n",
+ "Mirante 0.0\n",
+ "Ujkani 0.0\n",
+ "Berisha 0.0\n",
+ "Marchetti 0.0\n",
+ "Padelli 0.0\n",
+ "Bardi 0.0\n",
+ "Cordaz 0.0\n",
+ "Pinsoglio 0.0\n",
+ "Fiorillo 0.0\n",
+ "Cragno 0.0\n",
+ "Sirigu 0.0\n",
+ "Rossi F. 0.0\n",
+ "Berardi A. 0.0\n",
+ "Gemello 0.0\n",
+ "Ravaglia 0.0\n",
+ "Boer 0.0\n",
+ "Adamonis 0.0\n",
+ "Marfella 0.0\n",
"Zovko 1\n",
- "Piana 1\n",
+ "Piana 0.0\n",
"Dimarco 1\n",
"Smalling 1\n",
"Di Lorenzo 1\n",
"Danilo 1\n",
- "Hernandez T. 0.8929086538461539\n",
- "Udogie 0.7683516483516484\n",
+ "Hernandez T. 0.9121565934065934\n",
+ "Udogie 0.7876399790685507\n",
"Parisi 1\n",
- "Mario Rui 0.790950226244344\n",
+ "Mario Rui 0.8108058608058609\n",
"Romagnoli 1\n",
- "Bastoni S. 0.7048387096774194\n",
+ "Bastoni S. 0.6800307219662058\n",
"Mazzocchi 1\n",
- "Tomori 1\n",
+ "Tomori 0.9938910551813778\n",
"Scalvini 1\n",
"Toloi 1\n",
- "Demiral 1\n",
+ "Demiral 0.9845499738356883\n",
"Maehle 1\n",
- "Dumfries 0.9167832167832167\n",
- "Juan Jesus 0.5602564102564102\n",
+ "Dumfries 0.8845154845154845\n",
+ "Juan Jesus 0.5405372405372405\n",
"Depaoli 1\n",
"Mancini 1\n",
- "Ibanez 0.9392533936651583\n",
- "Rodrigo Becao 0.6723076923076923\n",
- "Ebuehi 0.9942307692307694\n",
+ "Ibanez 0.953889248006895\n",
+ "Rodrigo Becao 0.6949764521193094\n",
+ "Ebuehi 1\n",
"Gosens 1\n",
"Darmian 1\n",
"Reca 1\n",
- "Bremer 0.8846736596736595\n",
- "Rrahmani 0.662121212121212\n",
- "Vojvoda 0.8114058355437664\n",
- "Bastoni 0.8674937965260546\n",
- "Milenkovic 0.7415158371040723\n",
+ "Bremer 0.9015984015984014\n",
+ "Rrahmani 0.6879564879564879\n",
+ "Vojvoda 0.8387646835922699\n",
+ "Bastoni 0.8892709441096539\n",
+ "Milenkovic 0.7631113984055161\n",
"Kalulu 1\n",
"Martinez Quarta 1\n",
- "Casale 0.6201388888888889\n",
+ "Casale 0.6428062678062678\n",
"Perez N. 1\n",
"Izzo 1\n",
"Luperto 1\n",
- "Skriniar 0.9124175824175823\n",
- "Rodriguez R. 0.8898190045248868\n",
+ "Skriniar 0.9266352694924124\n",
+ "Rodriguez R. 0.8585003232062055\n",
"Marusic 1\n",
- "Lazzari 0.921712158808933\n",
- "Kyriakopoulos 0.7106100795755967\n",
- "Ampadu 0.888262599469496\n",
+ "Lazzari 0.8892709441096539\n",
+ "Kyriakopoulos 0.056997600101048373\n",
+ "Ampadu 0.911961601616774\n",
"Ismajli 1\n",
"Llorente D. affine to Ibanez\n",
- "Llorente D. 0.0\n",
+ "Llorente D. 0.04769446240034476\n",
"Cambiaso 1\n",
- "Hysaj 0.9273209549071618\n",
- "Biraghi 0.863097713097713\n",
- "Medel 0.8658508158508158\n",
- "Bonucci 0.6302884615384615\n",
- "Calabria 0.7757396449704141\n",
- "Acerbi 0.7441666666666666\n",
+ "Hysaj 0.9505999747379058\n",
+ "Biraghi 0.8765468765468765\n",
+ "Medel 0.8353757353757354\n",
+ "Bonucci 0.6081043956043956\n",
+ "Calabria 0.8108058608058608\n",
+ "Acerbi 0.7713675213675213\n",
"Spinazzola 1\n",
- "Lykogiannis 0.9813186813186815\n",
+ "Lykogiannis 0.9445316588173731\n",
"Pellegrini Lu. 0.0\n",
"Djidji 1\n",
- "Augello 0.8870726495726495\n",
- "Singo 0.7203296703296703\n",
+ "Augello 0.9008954008954009\n",
+ "Singo 0.6949764521193094\n",
"Mari' 1\n",
- "De Vrij 0.7283333333333333\n",
- "Patric 0.7003205128205129\n",
- "Faraoni 0.42019230769230775\n",
- "Ceccherini 0.6920814479638008\n",
+ "De Vrij 0.7026984126984127\n",
+ "Patric 0.6756715506715507\n",
+ "Faraoni 0.40540293040293046\n",
+ "Ceccherini 0.7154169360051713\n",
"Hateboer 1\n",
"Rogerio 1\n",
- "Aina 0.8804029304029304\n",
- "Ferrari G. 0.8870726495726495\n",
+ "Aina 0.9266352694924122\n",
+ "Ferrari G. 0.855850630850631\n",
"Fazio 1\n",
"Buongiorno 1\n",
- "Gunter 0.7441666666666666\n",
+ "Gunter 0.7162698412698413\n",
"Troost-Ekong affine to Fazio\n",
- "Troost-Ekong 0.10504807692307694\n",
- "Soumaoro 0.9004120879120879\n",
+ "Troost-Ekong 0.20270146520146523\n",
+ "Soumaoro 0.8687205651491368\n",
"Ceccaroni 0.0\n",
- "Soppy 0.6133241758241759\n",
- "Ferrari A. 0.2986622073578596\n",
- "Zappacosta 0.24717194570135745\n",
- "Gyomber 0.7590570719602977\n",
- "Alex Sandro 0.9604395604395606\n",
- "Pezzella Giu. 0.7359890109890109\n",
- "Bereszynski 0.735989010989011\n",
- "Venuti 0.6576923076923077\n",
- "Palomino 0.24717194570135745\n",
- "Nuytinck 0.318019943019943\n",
+ "Soppy 0.5903322867608581\n",
+ "Ferrari A. 0.359332696289218\n",
+ "Zappacosta 0.23847231200172375\n",
+ "Gyomber 0.7323407775020678\n",
+ "Alex Sandro 0.9845499738356883\n",
+ "Pezzella Giu. 0.7083987441130296\n",
+ "Bereszynski 0.7083987441130298\n",
+ "Venuti 0.6345437171524128\n",
+ "Palomino 0.23847231200172375\n",
+ "Nuytinck 0.36731786731786725\n",
"Magnani 1\n",
- "Colley 0.787860576923077\n",
- "Nikolaou 0.8403846153846154\n",
+ "Colley 0.8108058608058609\n",
+ "Nikolaou 0.855850630850631\n",
"Terzic 1\n",
- "Igor 0.8403846153846153\n",
+ "Igor 0.8648595848595849\n",
"Toljan 1\n",
- "Zortea 0.5329575596816976\n",
+ "Zortea 0.056997600101048373\n",
"Dawidowicz 1\n",
- "Bellanova 0.5539702233250621\n",
- "Erlic 0.7441666666666666\n",
+ "Bellanova 0.5332033557840009\n",
+ "Erlic 0.7713675213675213\n",
"Ballo-Toure' affine to Calabria\n",
- "Ballo-Toure' 0.19393491124260354\n",
- "Stojanovic 0.8149184149184149\n",
- "Amian 0.6828124999999999\n",
- "Zima 0.7563461538461539\n",
+ "Ballo-Toure' 0.1871090448013525\n",
+ "Stojanovic 0.8353757353757354\n",
+ "Amian 0.7094551282051282\n",
+ "Zima 0.7297252747252747\n",
"De Winter 1\n",
"Romagnoli S. 0.0\n",
- "Ghiglione 0.7926035502958579\n",
- "Rugani 0.4201923076923077\n",
- "De Sciglio 0.7563461538461539\n",
- "Djimsiti 0.4337468982630273\n",
- "Caldara 0.7201612903225807\n",
- "Karsdorp 0.4201923076923077\n",
- "Marchizza 0.27115384615384613\n",
+ "Ghiglione 0.7628909551986474\n",
+ "Rugani 0.4054029304029304\n",
+ "De Sciglio 0.8108058608058608\n",
+ "Djimsiti 0.47079049982275784\n",
+ "Caldara 0.7464846980976013\n",
+ "Karsdorp 0.4054029304029304\n",
+ "Marchizza 0.34798534798534797\n",
"Kjaer 1\n",
"Ruggeri 1\n",
- "Zanoli 0.5724358974358975\n",
+ "Zanoli 0.6887210012210012\n",
"Radovanovic 1\n",
- "D'ambrosio 0.3361538461538462\n",
- "De Silvestri 0.48796526054590567\n",
- "Chiriches 0.4145225464190981\n",
- "Murru 0.6111888111888112\n",
- "Bonifazi 0.5347902097902096\n",
- "Walukiewicz 0.9813186813186815\n",
- "Walukiewicz 0.3666039729501268\n",
- "Ranieri L. 0.12720797720797722\n",
+ "D'ambrosio 0.32432234432234436\n",
+ "De Silvestri 0.47079049982275784\n",
+ "Chiriches 0.455980800808387\n",
+ "Murru 0.6633866133866133\n",
+ "Bonifazi 0.5159673659673659\n",
+ "Walukiewicz 0.9445316588173731\n",
+ "Walukiewicz 0.36246197549180287\n",
+ "Ranieri L. 0.12243928910595576\n",
"Gabbia 1\n",
- "Kumbulla 0.395475113122172\n",
- "Lovato 0.6439903846153846\n",
- "Tuia 0.1908119658119658\n",
- "Ferrer 0.12450142450142451\n",
+ "Kumbulla 0.38155569920275806\n",
+ "Lovato 0.7231570512820512\n",
+ "Tuia 0.18365893365893363\n",
+ "Ferrer 0.12011938678605345\n",
"Antov 1\n",
- "Vasquez 0.5519917582417583\n",
+ "Vasquez 0.5903322867608581\n",
"Ruan 1\n",
"Ostigard 1\n",
"Coppola D. 1\n",
- "Cacace 0.6723076923076924\n",
- "Conti 0.24010989010989015\n",
- "Conti 0.8679180434949665\n",
- "Marrone 0.16355311355311355\n",
+ "Cacace 0.6486446886446887\n",
+ "Conti 0.2316588173731031\n",
+ "Conti 0.843001582405036\n",
+ "Marrone 0.15742194313622884\n",
"Tonelli 0.0\n",
"Radu 1\n",
- "Florenzi 0.14006410256410257\n",
- "Sala 0.5602564102564103\n",
+ "Florenzi 0.13513431013431015\n",
+ "Sala 0.5405372405372405\n",
"Fares 0.0\n",
"Fares 0.0\n",
"Romagna 0.0\n",
"Romagna 0.0\n",
- "Muldur 0.054218362282878414\n",
+ "Muldur 0.05231005553586199\n",
"Amey 0.0\n",
"Zaccagni 1\n",
- "Milinkovic-Savic 0.863097713097713\n",
- "Barella 0.8870726495726495\n",
- "Zielinski 0.9604395604395605\n",
- "Luis Alberto 0.8403846153846154\n",
- "Felipe Anderson 0.8846153846153846\n",
+ "Milinkovic-Savic 0.8765468765468765\n",
+ "Barella 0.9008954008954009\n",
+ "Zielinski 0.972967032967033\n",
+ "Luis Alberto 0.8585003232062055\n",
+ "Felipe Anderson 0.8961538461538462\n",
"Koopmeiners 1\n",
- "Calhanoglu 0.9392533936651583\n",
- "Frattesi 0.9337606837606838\n",
- "Diaz B. 0.921712158808933\n",
+ "Calhanoglu 0.953889248006895\n",
+ "Frattesi 0.945940170940171\n",
+ "Diaz B. 0.9415809996455157\n",
"Zambo Anguissa 1\n",
- "Elmas 0.863097713097713\n",
+ "Elmas 0.8765468765468765\n",
"Miranchuk 1\n",
"Samardzic 1\n",
"Pereyra 1\n",
- "Politano 0.9167832167832167\n",
- "Rabiot 0.8403846153846155\n",
- "Lazovic 0.790950226244344\n",
+ "Politano 0.9336552336552336\n",
+ "Rabiot 0.8614812271062272\n",
+ "Lazovic 0.8108058608058609\n",
"Lobotka 1\n",
- "Bonaventura 0.921712158808933\n",
+ "Bonaventura 0.9415809996455157\n",
"Pessina 1\n",
- "Tonali 0.7936965811965813\n",
+ "Tonali 0.8108058608058608\n",
"Pellegrini Lo. 1\n",
- "El Shaarawy 0.8715099715099714\n",
- "Orsolini 0.9852785145888594\n",
+ "El Shaarawy 0.900895400895401\n",
+ "Orsolini 1\n",
"Ikone' 1\n",
- "Candreva 0.9063568376068376\n",
- "Bennacer 1\n",
- "Pasalic 0.8176715176715176\n",
- "Mkhitaryan 0.9417493796526054\n",
- "Chiesa 0.7203296703296703\n",
- "Bandinelli 0.9604395604395605\n",
+ "Candreva 0.9182946682946682\n",
+ "Bennacer 0.9938910551813778\n",
+ "Pasalic 0.8327195327195327\n",
+ "Mkhitaryan 0.9597660404112016\n",
+ "Chiesa 0.8108058608058608\n",
+ "Bandinelli 0.972967032967033\n",
"Fagioli affine to Henderson L.\n",
- "Fagioli 0.4865384615384616\n",
- "Messias 0.9050295857988164\n",
+ "Fagioli 0.512087912087912\n",
+ "Messias 0.9355452240067625\n",
"Arslan 1\n",
"Ricci S. 1\n",
"Verdi 1\n",
"Sensi 1\n",
- "Barak 0.9474801061007958\n",
- "Soriano 0.9124175824175823\n",
+ "Barak 0.9689592017178223\n",
+ "Soriano 0.9266352694924124\n",
"Dominguez 1\n",
- "Brozovic 0.48021978021978023\n",
- "Cristante 0.9886877828054298\n",
- "Saponara 0.9273209549071618\n",
+ "Brozovic 0.5096493982208269\n",
+ "Cristante 1\n",
+ "Saponara 0.9505999747379058\n",
"Vecino 1\n",
- "Locatelli 0.921712158808933\n",
- "Zaniolo 0.7803571428571429\n",
+ "Locatelli 0.9415809996455157\n",
+ "Zaniolo 0.7528911564625851\n",
"Maldini 1\n",
- "Marin 0.9063568376068376\n",
+ "Marin 0.9182946682946682\n",
"Zalewski 1\n",
- "Bajrami 0.9322527472527472\n",
+ "Bajrami 0.04722658294086866\n",
"Coulibaly L. 1\n",
"De Roon 1\n",
"Mandragora 1\n",
"Bourabia 1\n",
- "Sottil 0.49022435897435895\n",
+ "Sottil 0.4729700854700855\n",
"Aebischer 1\n",
"Ederson D.s. 1\n",
"Miretti 1\n",
- "Cataldi 0.9454326923076923\n",
+ "Cataldi 0.9628319597069598\n",
"Djuricic 1\n",
"Linetty 1\n",
"Haas 1\n",
- "Walace 0.9337606837606838\n",
+ "Walace 0.945940170940171\n",
"Agudelo 1\n",
- "Pobega 0.6244755244755245\n",
+ "Pobega 0.6010656010656009\n",
"Nicolussi Caviglia 1\n",
- "Rovella 0.8995421245421246\n",
+ "Rovella 0.9445316588173729\n",
"Amrabat 1\n",
- "Tameze 0.8403846153846153\n",
- "Gyasi 0.8403846153846154\n",
- "Ilic 0.5903245192307693\n",
- "Matheus Henrique 0.8067692307692307\n",
- "Harroui 0.9167832167832167\n",
+ "Tameze 0.8534798534798534\n",
+ "Gyasi 0.8108058608058608\n",
+ "Ilic 0.5681948260073261\n",
+ "Matheus Henrique 0.8432380952380952\n",
+ "Harroui 0.9582251082251082\n",
"Volpato 1\n",
- "Duncan 0.662121212121212\n",
- "Cuadrado 0.763986013986014\n",
- "Ekdal 0.9247041420118343\n",
+ "Duncan 0.6388167388167388\n",
+ "Cuadrado 0.7862359862359862\n",
+ "Ekdal 0.8900394477317554\n",
"Schouten 1\n",
"Obiang 1\n",
- "Kovalenko 0.6464497041420117\n",
- "Crnigoj 0.050509049773755664\n",
- "Basic 0.8114058355437664\n",
- "Asllani 0.8213210702341138\n",
+ "Kovalenko 0.6236968160045083\n",
+ "Crnigoj 0.09723120017237664\n",
+ "Basic 0.7828470380194518\n",
+ "Asllani 0.8623984710941232\n",
"Sabiri 1\n",
- "Grassi 0.6296794871794873\n",
- "Krunic 0.5402472527472527\n",
+ "Grassi 0.6060744810744811\n",
+ "Krunic 0.5791470434327577\n",
"Rincon 1\n",
"Miguel Veloso 1\n",
- "Henderson L. 0.6192307692307691\n",
- "Lopez M. 0.6723076923076923\n",
- "Cuisance 0.0\n",
- "Saelemaekers 0.5602564102564103\n",
- "Maggiore 0.4906593406593407\n",
+ "Henderson L. 0.6401098901098902\n",
+ "Lopez M. 0.6486446886446886\n",
+ "Cuisance 0.12714849253310792\n",
+ "Saelemaekers 0.5855820105820106\n",
+ "Maggiore 0.4722658294086865\n",
"Akpa Akpro 0.0\n",
"Akpa Akpro 0.0\n",
- "Maleh 0.30666208791208793\n",
+ "Maleh 0.29516614338042907\n",
"Romero L. 1\n",
"Ceide 1\n",
- "Benassi 0.28621794871794876\n",
- "Gagliardini 0.8403846153846154\n",
- "Vieira 1\n",
+ "Benassi 0.4132326007326007\n",
+ "Gagliardini 0.9008954008954009\n",
+ "Vieira 0.11806645735217164\n",
"Bianco 1\n",
"Galdames 0.0\n",
- "Kastanos 0.6847578347578348\n",
- "Vignato 0.21466346153846153\n",
+ "Kastanos 0.7207163207163206\n",
+ "Vignato 0.20661630036630035\n",
"Askildsen 1\n",
"Bove 1\n",
"Bohinen 1\n",
"Bakayoko 0.0\n",
- "Zurkowski 0.049065934065934076\n",
- "Castrovilli 0.21923076923076923\n",
- "Demme 0.2653846153846154\n",
+ "Zurkowski 0.04722658294086866\n",
+ "Castrovilli 0.2115145723841376\n",
+ "Demme 0.256043956043956\n",
"Darboe 0.0\n",
- "Darboe 0.3361538461538462\n",
+ "Darboe 0.32432234432234436\n",
"Urbanski 0.0\n",
"Yepes 1\n",
- "Osimhen 0.9960113960113961\n",
- "Martinez L. 0.9604395604395605\n",
- "Dybala 0.8290450928381962\n",
- "Rafael Leao 0.9392533936651583\n",
- "Immobile 0.8132754342431762\n",
+ "Osimhen 1\n",
+ "Martinez L. 0.972967032967033\n",
+ "Dybala 0.8549640015157256\n",
+ "Rafael Leao 0.953889248006895\n",
+ "Immobile 0.8369608885737918\n",
"Vlahovic 1\n",
- "Arnautovic 0.7130536130536129\n",
- "Dzeko 0.9337606837606838\n",
+ "Arnautovic 0.6879564879564879\n",
+ "Dzeko 0.945940170940171\n",
"Nzola 1\n",
"Beto 1\n",
"Giroud 1\n",
- "Abraham 0.9085239085239084\n",
- "Deulofeu 0.790950226244344\n",
- "Simeone 0.5397252747252748\n",
+ "Abraham 0.9203742203742203\n",
+ "Deulofeu 0.7631113984055161\n",
+ "Simeone 0.5667189952904238\n",
"Lozano 1\n",
"Correa 1\n",
- "Berardi 0.6111888111888112\n",
- "Pedro 0.9454326923076923\n",
- "Sanabria 0.8693633952254641\n",
+ "Berardi 0.6388167388167388\n",
+ "Pedro 0.9628319597069598\n",
+ "Sanabria 0.8946823291650877\n",
"Thauvin affine to Deulofeu\n",
- "Thauvin 0.0\n",
+ "Thauvin 0.04769446240034476\n",
"Cabral 1\n",
- "Caprari 0.9813186813186814\n",
+ "Caprari 0.9917582417582418\n",
"Piatek 1\n",
- "Rebic 0.8403846153846154\n",
- "Bonazzoli 0.9454326923076923\n",
- "Zapata D. 0.9104166666666667\n",
- "Gonzalez N. 0.5093240093240092\n",
- "Brekalo 0.0\n",
- "Kean 0.9454326923076923\n",
+ "Rebic 0.878373015873016\n",
+ "Bonazzoli 0.9628319597069598\n",
+ "Zapata D. 0.945940170940171\n",
+ "Gonzalez N. 0.5405372405372406\n",
+ "Brekalo 0.051654075091575095\n",
+ "Kean 0.9628319597069598\n",
"Okereke 1\n",
- "Muriel 0.747008547008547\n",
- "Pinamonti 0.8109508547008547\n",
+ "Muriel 0.7807760141093475\n",
+ "Pinamonti 0.7805504680504681\n",
"Di Francesco F. 1\n",
- "Caputo 0.23851495726495728\n",
+ "Caputo 0.27548840048840045\n",
"Boga 1\n",
"Alvarez A. affine to Raspadori\n",
- "Alvarez A. 0.7003205128205129\n",
+ "Alvarez A. 0.7207163207163207\n",
"Petagna 1\n",
- "Barrow 0.6920814479638008\n",
+ "Barrow 0.7154169360051713\n",
"Djuric 1\n",
- "Henry 0.8326340326340327\n",
+ "Henry 0.8014208014208013\n",
"Success 1\n",
"Gabbiadini 1\n",
- "Lammers 0.5724358974358974\n",
"Kallon 1\n",
"Nestorovski 1\n",
- "Raspadori 0.6678418803418803\n",
- "Lasagna 0.9604395604395606\n",
+ "Raspadori 0.6428062678062678\n",
+ "Lasagna 0.9845499738356883\n",
"Belotti 1\n",
"Pellegri 1\n",
- "Verde 0.5093240093240092\n",
- "Destro 0.636039886039886\n",
+ "Verde 0.5405372405372406\n",
+ "Destro 0.6121964455297788\n",
"Seck 1\n",
- "Sansone 0.6225071225071225\n",
- "Quagliarella 0.7130536130536129\n",
- "Defrel 0.39807692307692305\n",
- "Pjaca 0.6439903846153846\n",
- "Gaich 0.0\n",
- "Piccoli 1\n",
- "Shomurodov 0.36799450549450546\n",
+ "Sansone 0.6005969339302673\n",
+ "Quagliarella 0.7370962370962372\n",
+ "Defrel 0.4267399267399267\n",
+ "Pjaca 0.6887210012210012\n",
+ "Gaich 0.11019536019536019\n",
+ "Piccoli 0.3305860805860806\n",
+ "Piccoli 0.30394544405533425\n",
+ "Shomurodov 0.05903322867608582\n",
"Afena-Gyan 1\n",
"Ibrahimovic 0.0\n",
- "Pussetto 0.30666208791208793\n",
+ "Pussetto 0.29516614338042907\n",
"Cancellieri 1\n",
"Oddei 0.0\n",
- "Oddei 0.6723076923076924\n",
- "Braaf 0.42932692307692316\n",
+ "Oddei 0.6486446886446887\n",
+ "Braaf 0.41323260073260076\n",
"Raimondo 0.0\n",
"Kaio Jorge 0.0\n",
"Players with low quantity of games:\n",
"Gravillon 0.0\n",
"Masina 0.6666666666666667\n",
"Aiwu 0.0\n",
- "Thiaw 0.6666666666666667\n",
+ "Thiaw 0.8333333333333334\n",
"Zeefuik 0.0\n",
- "Wisniewski 0.0\n",
+ "Wisniewski 0.16666666666666663\n",
"Dermaku 0.16666666666666663\n",
"Donati 0.6666666666666667\n",
- "Adopo 0.8333333333333334\n",
"Antov 0.6666666666666667\n",
"Ostigard 0.6666666666666667\n",
- "Cacace 0.9943589743589744\n",
"Gila 0.6666666666666667\n",
"Bayeye 0.16666666666666663\n",
"Moutinho J. 0.6666666666666667\n",
@@ -2392,64 +2403,63 @@
"Cassandro 0.0\n",
"Amey 0.16666666666666663\n",
"Zanotti 0.0\n",
- "Ebosele 0.6666666666666667\n",
+ "Ebosele 0.8333333333333334\n",
"Buta 0.0\n",
"Abankwah 0.0\n",
"Guessand A. 0.0\n",
"Cabal 0.5\n",
- "Sosa 0.6666666666666667\n",
+ "Sosa 0.8333333333333334\n",
"Guarino 0.0\n",
"Carboni F. 0.6666666666666667\n",
"Pogba 0.0\n",
- "Duda 0.16666666666666663\n",
+ "Duda 0.33333333333333337\n",
"Wijnaldum 0.16666666666666663\n",
- "Nicolussi Caviglia 0.6666666666666667\n",
+ "Nicolussi Caviglia 0.8333333333333334\n",
"Volpato 0.8333333333333334\n",
"Machin 0.0\n",
- "Esposito Sa. 0.33333333333333337\n",
+ "Esposito Sa. 0.5\n",
"Akpa Akpro 0.0\n",
"Romero L. 0.8333333333333334\n",
"Bianco 0.5\n",
"Galdames 0.0\n",
"Tahirovic 0.8333333333333334\n",
- "Abildgaard 0.0\n",
- "Winks 0.5\n",
+ "Abildgaard 0.16666666666666663\n",
+ "Winks 0.6666666666666667\n",
"D'andrea 0.8333333333333334\n",
- "Iling-Junior 0.8333333333333334\n",
- "Cipot 0.16666666666666663\n",
- "Gaetano 0.5\n",
- "Darboe 0.6092307692307692\n",
- "Urbanski 0.16666666666666663\n",
- "Bertini 0.0\n",
- "Yepes 0.8333333333333334\n",
- "Pyyhtia 0.5\n",
- "Trimboli 0.0\n",
- "Pafundi 0.0\n",
- "Adli 0.6666666666666667\n",
- "Vignato S. 0.5\n",
- "Samek 0.0\n",
- "Zerbin 0.6666666666666667\n",
- "Ilkhan 0.6666666666666667\n",
- "Degli Innocenti 0.16666666666666663\n",
- "Acella 0.0\n"
+ "Cipot 0.33333333333333337\n",
+ "Gaetano 0.5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
+ "Darboe 0.6171184371184371\n",
+ "Urbanski 0.16666666666666663\n",
+ "Bertini 0.0\n",
+ "Yepes 0.8333333333333334\n",
+ "Pyyhtia 0.5\n",
+ "Trimboli 0.0\n",
+ "Pafundi 0.16666666666666663\n",
+ "Adli 0.6666666666666667\n",
+ "Vignato S. 0.5\n",
+ "Samek 0.0\n",
+ "Zerbin 0.6666666666666667\n",
+ "Ilkhan 0.6666666666666667\n",
+ "Degli Innocenti 0.16666666666666663\n",
+ "Acella 0.0\n",
"Carboni V. 0.33333333333333337\n",
- "Paoletti 0.5\n",
+ "Paoletti 0.6666666666666667\n",
"Malagrida 0.16666666666666663\n",
"Faticanti 0.0\n",
"Solbakken 0.33333333333333337\n",
- "Ngonge 0.16666666666666663\n",
- "Oddei 0.4971794871794871\n",
- "Braaf 0.452003205128205\n",
+ "Ngonge 0.33333333333333337\n",
+ "Oddei 0.5090109890109888\n",
+ "Braaf 0.4600503663003662\n",
"Raimondo 0.16666666666666663\n",
"De Luca 0.16666666666666663\n",
- "Voelkerling Persson 0.33333333333333337\n",
- "Krollis 0.0\n",
+ "Voelkerling Persson 0.5\n",
+ "Krollis 0.16666666666666663\n",
"Vivaldo 0.0\n"
]
}
@@ -2566,7 +2576,7 @@
},
{
"cell_type": "code",
- "execution_count": 63,
+ "execution_count": 12,
"id": "49c28b07",
"metadata": {},
"outputs": [
@@ -2581,10 +2591,10 @@
" 'gk_def_actions_outside_pen_area',\n",
" 'gk_def_actions_outside_pen_area_per90', 'gk_avg_distance_def_actions',\n",
" 'vote_avg', 'vote_std'],\n",
- " dtype='object', length=160)"
+ " dtype='object', length=151)"
]
},
- "execution_count": 63,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -2595,7 +2605,7 @@
},
{
"cell_type": "code",
- "execution_count": 64,
+ "execution_count": 13,
"id": "d29102e5",
"metadata": {},
"outputs": [
@@ -2621,123 +2631,110 @@
"15 - goals_per_shot\n",
"16 - goals_per_shot_on_target\n",
"17 - passes_pct\n",
- "18 - dribble_tackles_pct\n",
- "19 - dribbles_completed_pct\n",
- "20 - aerials_won_pct\n",
- "21 - team_possession\n",
- "22 - team_goals_assists_per90\n",
- "23 - team_goals_pens_per90\n",
- "24 - team_goals_assists_pens_per90\n",
- "25 - team_xg_per90\n",
- "26 - team_gk_goals_against_per90\n",
- "27 - team_gk_save_pct\n",
- "28 - team_gk_clean_sheets_pct\n",
- "29 - team_passes_pct\n",
- "30 - team_passes_pct_medium\n",
- "31 - team_passes_pct_long\n",
- "32 - team_sca_per90\n",
- "33 - team_gca_per90\n",
- "34 - team_dribble_tackles_pct\n",
- "35 - team_aerials_won_pct\n",
- "36 - vs_team_possession\n",
- "37 - vs_team_goals_per90\n",
- "38 - vs_team_assists_per90\n",
- "39 - vs_team_xg_per90\n",
- "40 - vs_team_gk_save_pct\n",
- "41 - vs_team_gk_clean_sheets_pct\n",
- "42 - vs_team_gk_pct_passes_launched\n",
- "43 - vs_team_gk_crosses_stopped_pct\n",
- "44 - vs_team_shots_on_target_per90\n",
- "45 - vs_team_passes_pct\n",
- "46 - vs_team_passes_pct_short\n",
- "47 - vs_team_passes_pct_medium\n",
- "48 - vs_team_passes_pct_long\n",
- "49 - vs_team_sca_per90\n",
- "50 - vs_team_gca_per90\n",
- "51 - vs_team_dribble_tackles_pct\n",
- "52 - vs_team_dribbles_completed_pct\n",
- "53 - vs_team_aerials_won_pct\n",
- "54 - opp_team_possession\n",
- "55 - opp_team_goals_assists_per90\n",
- "56 - opp_team_goals_pens_per90\n",
- "57 - opp_team_goals_assists_pens_per90\n",
- "58 - opp_team_xg_per90\n",
- "59 - opp_team_gk_goals_against_per90\n",
- "60 - opp_team_gk_save_pct\n",
- "61 - opp_team_gk_clean_sheets_pct\n",
- "62 - opp_team_passes_pct\n",
- "63 - opp_team_passes_pct_medium\n",
- "64 - opp_team_passes_pct_long\n",
- "65 - opp_team_sca_per90\n",
- "66 - opp_team_gca_per90\n",
- "67 - opp_team_dribble_tackles_pct\n",
- "68 - opp_team_aerials_won_pct\n",
- "69 - opp_vs_team_possession\n",
- "70 - opp_vs_team_goals_per90\n",
- "71 - opp_vs_team_assists_per90\n",
- "72 - opp_vs_team_xg_per90\n",
- "73 - opp_vs_team_gk_save_pct\n",
- "74 - opp_vs_team_gk_clean_sheets_pct\n",
- "75 - opp_vs_team_gk_pct_passes_launched\n",
- "76 - opp_vs_team_gk_crosses_stopped_pct\n",
- "77 - opp_vs_team_shots_on_target_per90\n",
- "78 - opp_vs_team_passes_pct\n",
- "79 - opp_vs_team_passes_pct_short\n",
- "80 - opp_vs_team_passes_pct_medium\n",
- "81 - opp_vs_team_passes_pct_long\n",
- "82 - opp_vs_team_sca_per90\n",
- "83 - opp_vs_team_gca_per90\n",
- "84 - opp_vs_team_dribble_tackles_pct\n",
- "85 - opp_vs_team_dribbles_completed_pct\n",
- "86 - opp_vs_team_aerials_won_pct\n",
- "87 - vote_avg\n",
- "88 - vote_std\n",
- "89 - goals.1\n",
- "90 - assists.1\n",
- "91 - cards_yellow\n",
- "92 - cards_red\n",
- "93 - xg\n",
- "94 - npxg\n",
- "95 - shots_on_target\n",
- "96 - passes_completed\n",
- "97 - passes_into_final_third\n",
- "98 - passes_into_penalty_area\n",
- "99 - progressive_passes\n",
- "100 - passes_live\n",
- "101 - passes_dead\n",
- "102 - through_balls\n",
- "103 - passes_switches\n",
- "104 - crosses\n",
- "105 - corner_kicks\n",
- "106 - dribble_tackles\n",
- "107 - dribbles_vs\n",
- "108 - dribbled_past\n",
- "109 - blocks\n",
- "110 - blocked_shots\n",
- "111 - blocked_passes\n",
- "112 - interceptions\n",
- "113 - clearances\n",
- "114 - errors\n",
- "115 - touches\n",
- "116 - touches_def_pen_area\n",
- "117 - touches_def_3rd\n",
- "118 - touches_mid_3rd\n",
- "119 - touches_att_3rd\n",
- "120 - touches_att_pen_area\n",
- "121 - touches_live_ball\n",
- "122 - dribbles_completed\n",
- "123 - dribbles\n",
- "124 - passes_received\n",
- "125 - miscontrols\n",
- "126 - dispossessed\n",
- "127 - fouls\n",
- "128 - fouled\n",
- "129 - aerials_won\n",
- "130 - aerials_lost\n",
- "131 - carries\n",
- "132 - progressive_carries\n",
- "133 - carries_into_final_third\n",
- "134 - carries_into_penalty_area\n"
+ "18 - aerials_won_pct\n",
+ "19 - team_possession\n",
+ "20 - team_goals_assists_per90\n",
+ "21 - team_goals_pens_per90\n",
+ "22 - team_goals_assists_pens_per90\n",
+ "23 - team_xg_per90\n",
+ "24 - team_gk_goals_against_per90\n",
+ "25 - team_gk_save_pct\n",
+ "26 - team_gk_clean_sheets_pct\n",
+ "27 - team_passes_pct\n",
+ "28 - team_passes_pct_medium\n",
+ "29 - team_passes_pct_long\n",
+ "30 - team_sca_per90\n",
+ "31 - team_gca_per90\n",
+ "32 - team_aerials_won_pct\n",
+ "33 - vs_team_possession\n",
+ "34 - vs_team_goals_per90\n",
+ "35 - vs_team_assists_per90\n",
+ "36 - vs_team_xg_per90\n",
+ "37 - vs_team_gk_save_pct\n",
+ "38 - vs_team_gk_clean_sheets_pct\n",
+ "39 - vs_team_gk_pct_passes_launched\n",
+ "40 - vs_team_gk_crosses_stopped_pct\n",
+ "41 - vs_team_shots_on_target_per90\n",
+ "42 - vs_team_passes_pct\n",
+ "43 - vs_team_passes_pct_short\n",
+ "44 - vs_team_passes_pct_medium\n",
+ "45 - vs_team_passes_pct_long\n",
+ "46 - vs_team_sca_per90\n",
+ "47 - vs_team_gca_per90\n",
+ "48 - vs_team_aerials_won_pct\n",
+ "49 - opp_team_possession\n",
+ "50 - opp_team_goals_assists_per90\n",
+ "51 - opp_team_goals_pens_per90\n",
+ "52 - opp_team_goals_assists_pens_per90\n",
+ "53 - opp_team_xg_per90\n",
+ "54 - opp_team_gk_goals_against_per90\n",
+ "55 - opp_team_gk_save_pct\n",
+ "56 - opp_team_gk_clean_sheets_pct\n",
+ "57 - opp_team_passes_pct\n",
+ "58 - opp_team_passes_pct_medium\n",
+ "59 - opp_team_passes_pct_long\n",
+ "60 - opp_team_sca_per90\n",
+ "61 - opp_team_gca_per90\n",
+ "62 - opp_team_aerials_won_pct\n",
+ "63 - opp_vs_team_possession\n",
+ "64 - opp_vs_team_goals_per90\n",
+ "65 - opp_vs_team_assists_per90\n",
+ "66 - opp_vs_team_xg_per90\n",
+ "67 - opp_vs_team_gk_save_pct\n",
+ "68 - opp_vs_team_gk_clean_sheets_pct\n",
+ "69 - opp_vs_team_gk_pct_passes_launched\n",
+ "70 - opp_vs_team_gk_crosses_stopped_pct\n",
+ "71 - opp_vs_team_shots_on_target_per90\n",
+ "72 - opp_vs_team_passes_pct\n",
+ "73 - opp_vs_team_passes_pct_short\n",
+ "74 - opp_vs_team_passes_pct_medium\n",
+ "75 - opp_vs_team_passes_pct_long\n",
+ "76 - opp_vs_team_sca_per90\n",
+ "77 - opp_vs_team_gca_per90\n",
+ "78 - opp_vs_team_aerials_won_pct\n",
+ "79 - vote_avg\n",
+ "80 - vote_std\n",
+ "81 - goals.1\n",
+ "82 - assists.1\n",
+ "83 - cards_yellow\n",
+ "84 - cards_red\n",
+ "85 - xg\n",
+ "86 - npxg\n",
+ "87 - shots_on_target\n",
+ "88 - passes_completed\n",
+ "89 - passes_into_final_third\n",
+ "90 - passes_into_penalty_area\n",
+ "91 - progressive_passes\n",
+ "92 - passes_live\n",
+ "93 - passes_dead\n",
+ "94 - through_balls\n",
+ "95 - passes_switches\n",
+ "96 - crosses\n",
+ "97 - corner_kicks\n",
+ "98 - blocks\n",
+ "99 - blocked_shots\n",
+ "100 - blocked_passes\n",
+ "101 - interceptions\n",
+ "102 - clearances\n",
+ "103 - errors\n",
+ "104 - touches\n",
+ "105 - touches_def_pen_area\n",
+ "106 - touches_def_3rd\n",
+ "107 - touches_mid_3rd\n",
+ "108 - touches_att_3rd\n",
+ "109 - touches_att_pen_area\n",
+ "110 - touches_live_ball\n",
+ "111 - passes_received\n",
+ "112 - miscontrols\n",
+ "113 - dispossessed\n",
+ "114 - fouls\n",
+ "115 - fouled\n",
+ "116 - aerials_won\n",
+ "117 - aerials_lost\n",
+ "118 - carries\n",
+ "119 - progressive_carries\n",
+ "120 - carries_into_final_third\n",
+ "121 - carries_into_penalty_area\n"
]
}
],
@@ -2760,7 +2757,7 @@
},
{
"cell_type": "code",
- "execution_count": 65,
+ "execution_count": 14,
"id": "f19304f6",
"metadata": {},
"outputs": [],
@@ -2800,7 +2797,7 @@
},
{
"cell_type": "code",
- "execution_count": 66,
+ "execution_count": 15,
"id": "370d41d2",
"metadata": {},
"outputs": [],
@@ -2816,7 +2813,7 @@
},
{
"cell_type": "code",
- "execution_count": 67,
+ "execution_count": 16,
"id": "a7b1fb52",
"metadata": {},
"outputs": [
@@ -2862,76 +2859,70 @@
"35 - team_passes_pct_long\n",
"36 - team_sca_per90\n",
"37 - team_gca_per90\n",
- "38 - team_dribble_tackles_pct\n",
- "39 - team_aerials_won_pct\n",
- "40 - vs_team_possession\n",
- "41 - vs_team_goals_per90\n",
- "42 - vs_team_assists_per90\n",
- "43 - vs_team_xg_per90\n",
- "44 - vs_team_gk_save_pct\n",
- "45 - vs_team_gk_clean_sheets_pct\n",
- "46 - vs_team_gk_pct_passes_launched\n",
- "47 - vs_team_gk_crosses_stopped_pct\n",
- "48 - vs_team_shots_on_target_per90\n",
- "49 - vs_team_passes_pct\n",
- "50 - vs_team_passes_pct_short\n",
- "51 - vs_team_passes_pct_medium\n",
- "52 - vs_team_passes_pct_long\n",
- "53 - vs_team_sca_per90\n",
- "54 - vs_team_gca_per90\n",
- "55 - vs_team_dribble_tackles_pct\n",
- "56 - vs_team_dribbles_completed_pct\n",
- "57 - vs_team_aerials_won_pct\n",
- "58 - opp_team_possession\n",
- "59 - opp_team_goals_assists_per90\n",
- "60 - opp_team_goals_pens_per90\n",
- "61 - opp_team_goals_assists_pens_per90\n",
- "62 - opp_team_xg_per90\n",
- "63 - opp_team_gk_goals_against_per90\n",
- "64 - opp_team_gk_save_pct\n",
- "65 - opp_team_gk_clean_sheets_pct\n",
- "66 - opp_team_passes_pct\n",
- "67 - opp_team_passes_pct_medium\n",
- "68 - opp_team_passes_pct_long\n",
- "69 - opp_team_sca_per90\n",
- "70 - opp_team_gca_per90\n",
- "71 - opp_team_dribble_tackles_pct\n",
- "72 - opp_team_aerials_won_pct\n",
- "73 - opp_vs_team_possession\n",
- "74 - opp_vs_team_goals_per90\n",
- "75 - opp_vs_team_assists_per90\n",
- "76 - opp_vs_team_xg_per90\n",
- "77 - opp_vs_team_gk_save_pct\n",
- "78 - opp_vs_team_gk_clean_sheets_pct\n",
- "79 - opp_vs_team_gk_pct_passes_launched\n",
- "80 - opp_vs_team_gk_crosses_stopped_pct\n",
- "81 - opp_vs_team_shots_on_target_per90\n",
- "82 - opp_vs_team_passes_pct\n",
- "83 - opp_vs_team_passes_pct_short\n",
- "84 - opp_vs_team_passes_pct_medium\n",
- "85 - opp_vs_team_passes_pct_long\n",
- "86 - opp_vs_team_sca_per90\n",
- "87 - opp_vs_team_gca_per90\n",
- "88 - opp_vs_team_dribble_tackles_pct\n",
- "89 - opp_vs_team_dribbles_completed_pct\n",
- "90 - opp_vs_team_aerials_won_pct\n",
- "91 - vote_avg\n",
- "92 - vote_std\n",
- "93 - gk_shots_on_target_against\n",
- "94 - gk_saves\n",
- "95 - gk_free_kick_goals_against\n",
- "96 - gk_corner_kick_goals_against\n",
- "97 - gk_own_goals_against\n",
- "98 - gk_psxg\n",
- "99 - gk_psnpxg_per_shot_on_target_against\n",
- "100 - gk_psxg_net\n",
- "101 - gk_passes_completed_launched\n",
- "102 - gk_passes_launched\n",
- "103 - gk_passes\n",
- "104 - gk_passes_throws\n",
- "105 - gk_goal_kicks\n",
- "106 - gk_crosses\n",
- "107 - gk_crosses_stopped\n"
+ "38 - team_aerials_won_pct\n",
+ "39 - vs_team_possession\n",
+ "40 - vs_team_goals_per90\n",
+ "41 - vs_team_assists_per90\n",
+ "42 - vs_team_xg_per90\n",
+ "43 - vs_team_gk_save_pct\n",
+ "44 - vs_team_gk_clean_sheets_pct\n",
+ "45 - vs_team_gk_pct_passes_launched\n",
+ "46 - vs_team_gk_crosses_stopped_pct\n",
+ "47 - vs_team_shots_on_target_per90\n",
+ "48 - vs_team_passes_pct\n",
+ "49 - vs_team_passes_pct_short\n",
+ "50 - vs_team_passes_pct_medium\n",
+ "51 - vs_team_passes_pct_long\n",
+ "52 - vs_team_sca_per90\n",
+ "53 - vs_team_gca_per90\n",
+ "54 - vs_team_aerials_won_pct\n",
+ "55 - opp_team_possession\n",
+ "56 - opp_team_goals_assists_per90\n",
+ "57 - opp_team_goals_pens_per90\n",
+ "58 - opp_team_goals_assists_pens_per90\n",
+ "59 - opp_team_xg_per90\n",
+ "60 - opp_team_gk_goals_against_per90\n",
+ "61 - opp_team_gk_save_pct\n",
+ "62 - opp_team_gk_clean_sheets_pct\n",
+ "63 - opp_team_passes_pct\n",
+ "64 - opp_team_passes_pct_medium\n",
+ "65 - opp_team_passes_pct_long\n",
+ "66 - opp_team_sca_per90\n",
+ "67 - opp_team_gca_per90\n",
+ "68 - opp_team_aerials_won_pct\n",
+ "69 - opp_vs_team_possession\n",
+ "70 - opp_vs_team_goals_per90\n",
+ "71 - opp_vs_team_assists_per90\n",
+ "72 - opp_vs_team_xg_per90\n",
+ "73 - opp_vs_team_gk_save_pct\n",
+ "74 - opp_vs_team_gk_clean_sheets_pct\n",
+ "75 - opp_vs_team_gk_pct_passes_launched\n",
+ "76 - opp_vs_team_gk_crosses_stopped_pct\n",
+ "77 - opp_vs_team_shots_on_target_per90\n",
+ "78 - opp_vs_team_passes_pct\n",
+ "79 - opp_vs_team_passes_pct_short\n",
+ "80 - opp_vs_team_passes_pct_medium\n",
+ "81 - opp_vs_team_passes_pct_long\n",
+ "82 - opp_vs_team_sca_per90\n",
+ "83 - opp_vs_team_gca_per90\n",
+ "84 - opp_vs_team_aerials_won_pct\n",
+ "85 - vote_avg\n",
+ "86 - vote_std\n",
+ "87 - gk_shots_on_target_against\n",
+ "88 - gk_saves\n",
+ "89 - gk_free_kick_goals_against\n",
+ "90 - gk_corner_kick_goals_against\n",
+ "91 - gk_own_goals_against\n",
+ "92 - gk_psxg\n",
+ "93 - gk_psnpxg_per_shot_on_target_against\n",
+ "94 - gk_psxg_net\n",
+ "95 - gk_passes_completed_launched\n",
+ "96 - gk_passes_launched\n",
+ "97 - gk_passes\n",
+ "98 - gk_passes_throws\n",
+ "99 - gk_goal_kicks\n",
+ "100 - gk_crosses\n",
+ "101 - gk_crosses_stopped\n"
]
}
],
@@ -2942,7 +2933,7 @@
},
{
"cell_type": "code",
- "execution_count": 68,
+ "execution_count": 17,
"id": "5a7cf079",
"metadata": {},
"outputs": [],
@@ -2966,7 +2957,7 @@
},
{
"cell_type": "code",
- "execution_count": 69,
+ "execution_count": 18,
"id": "0bc0568b",
"metadata": {},
"outputs": [],
@@ -3004,7 +2995,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -3022,7 +3013,7 @@
},
{
"data": {
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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -3076,43 +3067,10 @@
},
{
"cell_type": "code",
- "execution_count": 70,
+ "execution_count": 19,
"id": "8aad9652",
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1/1000\n",
- "76/76 [==============================] - 4s 10ms/step - loss: 2.1512 - distribution_lambda_5_loss: 0.8354 - distribution_lambda_6_loss: 1.3158 - val_loss: 2.1920 - val_distribution_lambda_5_loss: 0.8536 - val_distribution_lambda_6_loss: 1.3384\n",
- "Epoch 2/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1487 - distribution_lambda_5_loss: 0.8351 - distribution_lambda_6_loss: 1.3136 - val_loss: 2.2014 - val_distribution_lambda_5_loss: 0.8581 - val_distribution_lambda_6_loss: 1.3433\n",
- "Epoch 3/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1487 - distribution_lambda_5_loss: 0.8354 - distribution_lambda_6_loss: 1.3133 - val_loss: 2.1877 - val_distribution_lambda_5_loss: 0.8524 - val_distribution_lambda_6_loss: 1.3353\n",
- "Epoch 4/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1547 - distribution_lambda_5_loss: 0.8377 - distribution_lambda_6_loss: 1.3171 - val_loss: 2.1952 - val_distribution_lambda_5_loss: 0.8555 - val_distribution_lambda_6_loss: 1.3397\n",
- "Epoch 5/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1475 - distribution_lambda_5_loss: 0.8358 - distribution_lambda_6_loss: 1.3117 - val_loss: 2.1958 - val_distribution_lambda_5_loss: 0.8559 - val_distribution_lambda_6_loss: 1.3399\n",
- "Epoch 6/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1521 - distribution_lambda_5_loss: 0.8368 - distribution_lambda_6_loss: 1.3153 - val_loss: 2.1914 - val_distribution_lambda_5_loss: 0.8539 - val_distribution_lambda_6_loss: 1.3375\n",
- "Epoch 7/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1503 - distribution_lambda_5_loss: 0.8365 - distribution_lambda_6_loss: 1.3138 - val_loss: 2.1924 - val_distribution_lambda_5_loss: 0.8544 - val_distribution_lambda_6_loss: 1.3380\n",
- "Epoch 8/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1543 - distribution_lambda_5_loss: 0.8384 - distribution_lambda_6_loss: 1.3159 - val_loss: 2.1911 - val_distribution_lambda_5_loss: 0.8545 - val_distribution_lambda_6_loss: 1.3365\n",
- "Epoch 9/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1524 - distribution_lambda_5_loss: 0.8374 - distribution_lambda_6_loss: 1.3149 - val_loss: 2.1915 - val_distribution_lambda_5_loss: 0.8548 - val_distribution_lambda_6_loss: 1.3367\n",
- "Epoch 10/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1502 - distribution_lambda_5_loss: 0.8364 - distribution_lambda_6_loss: 1.3137 - val_loss: 2.1910 - val_distribution_lambda_5_loss: 0.8538 - val_distribution_lambda_6_loss: 1.3371\n",
- "Epoch 11/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1535 - distribution_lambda_5_loss: 0.8373 - distribution_lambda_6_loss: 1.3162 - val_loss: 2.1894 - val_distribution_lambda_5_loss: 0.8533 - val_distribution_lambda_6_loss: 1.3361\n",
- "Epoch 12/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1449 - distribution_lambda_5_loss: 0.8341 - distribution_lambda_6_loss: 1.3108 - val_loss: 2.1904 - val_distribution_lambda_5_loss: 0.8530 - val_distribution_lambda_6_loss: 1.3374\n",
- "Epoch 13/1000\n",
- "76/76 [==============================] - 0s 3ms/step - loss: 2.1469 - distribution_lambda_5_loss: 0.8351 - distribution_lambda_6_loss: 1.3118 - val_loss: 2.1883 - val_distribution_lambda_5_loss: 0.8541 - val_distribution_lambda_6_loss: 1.3343\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"load_model_of = True# load scaler and model weights for outfield player predictor\n",
"refit_model_of = True\n",
@@ -3183,7 +3141,7 @@
},
{
"cell_type": "code",
- "execution_count": 71,
+ "execution_count": 55,
"id": "4e2bf9dc",
"metadata": {},
"outputs": [],
@@ -3203,7 +3161,7 @@
},
{
"cell_type": "code",
- "execution_count": 72,
+ "execution_count": 56,
"id": "c2674211",
"metadata": {},
"outputs": [
@@ -3211,13 +3169,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.14847417498922566\n",
- "0.1658922942362021\n"
+ "0.14539483185579238\n",
+ "0.16229047232752447\n"
]
},
{
"data": {
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+ "image/png": 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",
"text/plain": [
""
]
@@ -3229,13 +3187,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.12424751175425397\n",
- "0.1551721892675979\n"
+ "0.13160209075894191\n",
+ "0.16563346611529572\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -3282,7 +3240,7 @@
},
{
"cell_type": "code",
- "execution_count": 83,
+ "execution_count": 54,
"id": "41e7e1ee",
"metadata": {},
"outputs": [
@@ -3290,557 +3248,3205 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 1/2000\n",
- "8/8 [==============================] - 4s 90ms/step - loss: 1.8873 - distribution_lambda_10_loss: 0.2060 - distribution_lambda_11_loss: 1.2964 - distribution_lambda_12_loss: 0.3849 - val_loss: 1.8155 - val_distribution_lambda_10_loss: 0.0865 - val_distribution_lambda_11_loss: 1.3253 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 2/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9203 - distribution_lambda_10_loss: 0.2588 - distribution_lambda_11_loss: 1.2860 - distribution_lambda_12_loss: 0.3755 - val_loss: 1.8144 - val_distribution_lambda_10_loss: 0.0855 - val_distribution_lambda_11_loss: 1.3248 - val_distribution_lambda_12_loss: 0.4041\n",
- "Epoch 3/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8929 - distribution_lambda_10_loss: 0.2106 - distribution_lambda_11_loss: 1.2891 - distribution_lambda_12_loss: 0.3932 - val_loss: 1.8159 - val_distribution_lambda_10_loss: 0.0868 - val_distribution_lambda_11_loss: 1.3249 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 4/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8031 - distribution_lambda_10_loss: 0.1715 - distribution_lambda_11_loss: 1.2545 - distribution_lambda_12_loss: 0.3771 - val_loss: 1.8132 - val_distribution_lambda_10_loss: 0.0832 - val_distribution_lambda_11_loss: 1.3255 - val_distribution_lambda_12_loss: 0.4044\n",
- "Epoch 5/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8745 - distribution_lambda_10_loss: 0.1979 - distribution_lambda_11_loss: 1.2893 - distribution_lambda_12_loss: 0.3873 - val_loss: 1.8100 - val_distribution_lambda_10_loss: 0.0806 - val_distribution_lambda_11_loss: 1.3250 - val_distribution_lambda_12_loss: 0.4044\n",
- "Epoch 6/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8314 - distribution_lambda_10_loss: 0.1840 - distribution_lambda_11_loss: 1.2748 - distribution_lambda_12_loss: 0.3725 - val_loss: 1.8113 - val_distribution_lambda_10_loss: 0.0814 - val_distribution_lambda_11_loss: 1.3257 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 7/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8780 - distribution_lambda_10_loss: 0.2155 - distribution_lambda_11_loss: 1.2795 - distribution_lambda_12_loss: 0.3830 - val_loss: 1.8175 - val_distribution_lambda_10_loss: 0.0883 - val_distribution_lambda_11_loss: 1.3255 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 8/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9261 - distribution_lambda_10_loss: 0.2113 - distribution_lambda_11_loss: 1.3236 - distribution_lambda_12_loss: 0.3911 - val_loss: 1.8199 - val_distribution_lambda_10_loss: 0.0923 - val_distribution_lambda_11_loss: 1.3243 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 9/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8393 - distribution_lambda_10_loss: 0.1698 - distribution_lambda_11_loss: 1.2834 - distribution_lambda_12_loss: 0.3861 - val_loss: 1.8078 - val_distribution_lambda_10_loss: 0.0828 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 10/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8952 - distribution_lambda_10_loss: 0.2215 - distribution_lambda_11_loss: 1.2829 - distribution_lambda_12_loss: 0.3907 - val_loss: 1.8074 - val_distribution_lambda_10_loss: 0.0816 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 11/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9673 - distribution_lambda_10_loss: 0.2631 - distribution_lambda_11_loss: 1.3218 - distribution_lambda_12_loss: 0.3825 - val_loss: 1.8135 - val_distribution_lambda_10_loss: 0.0861 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 12/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8950 - distribution_lambda_10_loss: 0.2240 - distribution_lambda_11_loss: 1.2905 - distribution_lambda_12_loss: 0.3805 - val_loss: 1.8097 - val_distribution_lambda_10_loss: 0.0829 - val_distribution_lambda_11_loss: 1.3229 - val_distribution_lambda_12_loss: 0.4039\n",
- "Epoch 13/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8733 - distribution_lambda_10_loss: 0.1827 - distribution_lambda_11_loss: 1.2936 - distribution_lambda_12_loss: 0.3969 - val_loss: 1.8114 - val_distribution_lambda_10_loss: 0.0856 - val_distribution_lambda_11_loss: 1.3220 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 14/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8816 - distribution_lambda_10_loss: 0.1977 - distribution_lambda_11_loss: 1.2980 - distribution_lambda_12_loss: 0.3859 - val_loss: 1.8147 - val_distribution_lambda_10_loss: 0.0884 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4035\n",
- "Epoch 15/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9128 - distribution_lambda_10_loss: 0.2067 - distribution_lambda_11_loss: 1.3088 - distribution_lambda_12_loss: 0.3974 - val_loss: 1.8147 - val_distribution_lambda_10_loss: 0.0882 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 16/2000\n",
- "8/8 [==============================] - 0s 8ms/step - loss: 1.8255 - distribution_lambda_10_loss: 0.1688 - distribution_lambda_11_loss: 1.2783 - distribution_lambda_12_loss: 0.3784 - val_loss: 1.8128 - val_distribution_lambda_10_loss: 0.0861 - val_distribution_lambda_11_loss: 1.3238 - val_distribution_lambda_12_loss: 0.4030\n",
- "Epoch 17/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8411 - distribution_lambda_10_loss: 0.1780 - distribution_lambda_11_loss: 1.2857 - distribution_lambda_12_loss: 0.3775 - val_loss: 1.8089 - val_distribution_lambda_10_loss: 0.0815 - val_distribution_lambda_11_loss: 1.3245 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 18/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9114 - distribution_lambda_10_loss: 0.2159 - distribution_lambda_11_loss: 1.3077 - distribution_lambda_12_loss: 0.3878 - val_loss: 1.8119 - val_distribution_lambda_10_loss: 0.0849 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.4033\n",
- "Epoch 19/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9099 - distribution_lambda_10_loss: 0.2054 - distribution_lambda_11_loss: 1.3104 - distribution_lambda_12_loss: 0.3941 - val_loss: 1.8074 - val_distribution_lambda_10_loss: 0.0795 - val_distribution_lambda_11_loss: 1.3246 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 20/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8742 - distribution_lambda_10_loss: 0.2154 - distribution_lambda_11_loss: 1.2759 - distribution_lambda_12_loss: 0.3830 - val_loss: 1.8145 - val_distribution_lambda_10_loss: 0.0837 - val_distribution_lambda_11_loss: 1.3275 - val_distribution_lambda_12_loss: 0.4033\n",
- "Epoch 21/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9526 - distribution_lambda_10_loss: 0.2572 - distribution_lambda_11_loss: 1.3148 - distribution_lambda_12_loss: 0.3807 - val_loss: 1.8099 - val_distribution_lambda_10_loss: 0.0806 - val_distribution_lambda_11_loss: 1.3259 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 22/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9162 - distribution_lambda_10_loss: 0.2340 - distribution_lambda_11_loss: 1.2961 - distribution_lambda_12_loss: 0.3860 - val_loss: 1.8123 - val_distribution_lambda_10_loss: 0.0830 - val_distribution_lambda_11_loss: 1.3255 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 23/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9189 - distribution_lambda_10_loss: 0.2566 - distribution_lambda_11_loss: 1.2854 - distribution_lambda_12_loss: 0.3769 - val_loss: 1.8260 - val_distribution_lambda_10_loss: 0.0969 - val_distribution_lambda_11_loss: 1.3256 - val_distribution_lambda_12_loss: 0.4035\n",
- "Epoch 24/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9318 - distribution_lambda_10_loss: 0.2354 - distribution_lambda_11_loss: 1.3032 - distribution_lambda_12_loss: 0.3932 - val_loss: 1.8171 - val_distribution_lambda_10_loss: 0.0886 - val_distribution_lambda_11_loss: 1.3246 - val_distribution_lambda_12_loss: 0.4039\n",
- "Epoch 25/2000\n"
+ "Epoch 1/2500\n",
+ "8/8 [==============================] - 4s 92ms/step - loss: 363.3525 - distribution_lambda_26_loss: 106.5460 - distribution_lambda_27_loss: 255.9949 - distribution_lambda_28_loss: 0.8116 - val_loss: 255.7005 - val_distribution_lambda_26_loss: 95.0135 - val_distribution_lambda_27_loss: 159.8931 - val_distribution_lambda_28_loss: 0.7939\n",
+ "Epoch 2/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 242.5359 - distribution_lambda_26_loss: 90.2925 - distribution_lambda_27_loss: 151.4580 - distribution_lambda_28_loss: 0.7854 - val_loss: 181.1897 - val_distribution_lambda_26_loss: 80.4324 - val_distribution_lambda_27_loss: 99.9920 - val_distribution_lambda_28_loss: 0.7654\n",
+ "Epoch 3/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 172.7781 - distribution_lambda_26_loss: 75.9389 - distribution_lambda_27_loss: 96.0833 - distribution_lambda_28_loss: 0.7559 - val_loss: 137.6391 - val_distribution_lambda_26_loss: 68.3221 - val_distribution_lambda_27_loss: 68.5772 - val_distribution_lambda_28_loss: 0.7398\n",
+ "Epoch 4/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 134.3410 - distribution_lambda_26_loss: 64.5182 - distribution_lambda_27_loss: 69.0890 - distribution_lambda_28_loss: 0.7337 - val_loss: 109.9033 - val_distribution_lambda_26_loss: 58.6612 - val_distribution_lambda_27_loss: 50.5242 - val_distribution_lambda_28_loss: 0.7179\n",
+ "Epoch 5/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 107.2862 - distribution_lambda_26_loss: 55.5948 - distribution_lambda_27_loss: 50.9793 - distribution_lambda_28_loss: 0.7121 - val_loss: 90.9552 - val_distribution_lambda_26_loss: 50.7684 - val_distribution_lambda_27_loss: 39.4882 - val_distribution_lambda_28_loss: 0.6985\n",
+ "Epoch 6/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 89.6161 - distribution_lambda_26_loss: 48.2157 - distribution_lambda_27_loss: 40.7019 - distribution_lambda_28_loss: 0.6985 - val_loss: 77.0989 - val_distribution_lambda_26_loss: 44.2830 - val_distribution_lambda_27_loss: 32.1339 - val_distribution_lambda_28_loss: 0.6820\n",
+ "Epoch 7/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 76.6649 - distribution_lambda_26_loss: 42.5049 - distribution_lambda_27_loss: 33.4795 - distribution_lambda_28_loss: 0.6805 - val_loss: 66.2563 - val_distribution_lambda_26_loss: 38.8386 - val_distribution_lambda_27_loss: 26.7498 - val_distribution_lambda_28_loss: 0.6679\n",
+ "Epoch 8/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 65.1514 - distribution_lambda_26_loss: 36.9772 - distribution_lambda_27_loss: 27.5046 - distribution_lambda_28_loss: 0.6695 - val_loss: 57.5291 - val_distribution_lambda_26_loss: 34.2010 - val_distribution_lambda_27_loss: 22.6720 - val_distribution_lambda_28_loss: 0.6561\n",
+ "Epoch 9/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 57.1919 - distribution_lambda_26_loss: 33.0281 - distribution_lambda_27_loss: 23.5040 - distribution_lambda_28_loss: 0.6597 - val_loss: 50.3063 - val_distribution_lambda_26_loss: 30.2402 - val_distribution_lambda_27_loss: 19.4200 - val_distribution_lambda_28_loss: 0.6460\n",
+ "Epoch 10/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 49.8005 - distribution_lambda_26_loss: 28.9802 - distribution_lambda_27_loss: 20.1705 - distribution_lambda_28_loss: 0.6498 - val_loss: 44.2238 - val_distribution_lambda_26_loss: 26.8281 - val_distribution_lambda_27_loss: 16.7585 - val_distribution_lambda_28_loss: 0.6373\n",
+ "Epoch 11/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 44.3848 - distribution_lambda_26_loss: 25.9915 - distribution_lambda_27_loss: 17.7523 - distribution_lambda_28_loss: 0.6409 - val_loss: 39.0558 - val_distribution_lambda_26_loss: 23.8972 - val_distribution_lambda_27_loss: 14.5287 - val_distribution_lambda_28_loss: 0.6299\n",
+ "Epoch 12/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 39.3051 - distribution_lambda_26_loss: 23.1697 - distribution_lambda_27_loss: 15.4997 - distribution_lambda_28_loss: 0.6357 - val_loss: 34.6634 - val_distribution_lambda_26_loss: 21.3916 - val_distribution_lambda_27_loss: 12.6478 - val_distribution_lambda_28_loss: 0.6239\n",
+ "Epoch 13/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 34.7644 - distribution_lambda_26_loss: 20.9584 - distribution_lambda_27_loss: 13.1741 - distribution_lambda_28_loss: 0.6319 - val_loss: 30.9429 - val_distribution_lambda_26_loss: 19.1970 - val_distribution_lambda_27_loss: 11.1269 - val_distribution_lambda_28_loss: 0.6190\n",
+ "Epoch 14/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 31.1160 - distribution_lambda_26_loss: 18.6549 - distribution_lambda_27_loss: 11.8352 - distribution_lambda_28_loss: 0.6259 - val_loss: 27.8197 - val_distribution_lambda_26_loss: 17.3376 - val_distribution_lambda_27_loss: 9.8673 - val_distribution_lambda_28_loss: 0.6148\n",
+ "Epoch 15/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 28.5349 - distribution_lambda_26_loss: 17.2940 - distribution_lambda_27_loss: 10.6187 - distribution_lambda_28_loss: 0.6222 - val_loss: 25.1625 - val_distribution_lambda_26_loss: 15.7275 - val_distribution_lambda_27_loss: 8.8238 - val_distribution_lambda_28_loss: 0.6112\n",
+ "Epoch 16/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 25.6882 - distribution_lambda_26_loss: 15.7276 - distribution_lambda_27_loss: 9.3402 - distribution_lambda_28_loss: 0.6204 - val_loss: 22.9059 - val_distribution_lambda_26_loss: 14.3543 - val_distribution_lambda_27_loss: 7.9434 - val_distribution_lambda_28_loss: 0.6082\n",
+ "Epoch 17/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 23.5566 - distribution_lambda_26_loss: 14.4582 - distribution_lambda_27_loss: 8.4842 - distribution_lambda_28_loss: 0.6141 - val_loss: 20.9612 - val_distribution_lambda_26_loss: 13.1507 - val_distribution_lambda_27_loss: 7.2048 - val_distribution_lambda_28_loss: 0.6057\n",
+ "Epoch 18/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 21.7641 - distribution_lambda_26_loss: 13.3370 - distribution_lambda_27_loss: 7.8110 - distribution_lambda_28_loss: 0.6161 - val_loss: 19.2811 - val_distribution_lambda_26_loss: 12.1125 - val_distribution_lambda_27_loss: 6.5647 - val_distribution_lambda_28_loss: 0.6038\n",
+ "Epoch 19/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 19.8883 - distribution_lambda_26_loss: 12.2286 - distribution_lambda_27_loss: 7.0458 - distribution_lambda_28_loss: 0.6139 - val_loss: 17.8345 - val_distribution_lambda_26_loss: 11.2082 - val_distribution_lambda_27_loss: 6.0240 - val_distribution_lambda_28_loss: 0.6023\n",
+ "Epoch 20/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 18.8719 - distribution_lambda_26_loss: 11.5044 - distribution_lambda_27_loss: 6.7594 - distribution_lambda_28_loss: 0.6080 - val_loss: 16.5742 - val_distribution_lambda_26_loss: 10.4116 - val_distribution_lambda_27_loss: 5.5616 - val_distribution_lambda_28_loss: 0.6010\n",
+ "Epoch 21/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 17.3019 - distribution_lambda_26_loss: 10.5656 - distribution_lambda_27_loss: 6.1266 - distribution_lambda_28_loss: 0.6097 - val_loss: 15.4846 - val_distribution_lambda_26_loss: 9.7153 - val_distribution_lambda_27_loss: 5.1693 - val_distribution_lambda_28_loss: 0.5999\n",
+ "Epoch 22/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 16.4616 - distribution_lambda_26_loss: 9.9806 - distribution_lambda_27_loss: 5.8742 - distribution_lambda_28_loss: 0.6068 - val_loss: 14.5362 - val_distribution_lambda_26_loss: 9.1062 - val_distribution_lambda_27_loss: 4.8310 - val_distribution_lambda_28_loss: 0.5991\n",
+ "Epoch 23/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 15.5441 - distribution_lambda_26_loss: 9.5332 - distribution_lambda_27_loss: 5.4061 - distribution_lambda_28_loss: 0.6048 - val_loss: 13.7131 - val_distribution_lambda_26_loss: 8.5677 - val_distribution_lambda_27_loss: 4.5472 - val_distribution_lambda_28_loss: 0.5982\n",
+ "Epoch 24/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 14.4935 - distribution_lambda_26_loss: 8.8376 - distribution_lambda_27_loss: 5.0518 - distribution_lambda_28_loss: 0.6040 - val_loss: 12.9867 - val_distribution_lambda_26_loss: 8.0917 - val_distribution_lambda_27_loss: 4.2975 - val_distribution_lambda_28_loss: 0.5975\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8403 - distribution_lambda_10_loss: 0.1649 - distribution_lambda_11_loss: 1.3011 - distribution_lambda_12_loss: 0.3743 - val_loss: 1.8114 - val_distribution_lambda_10_loss: 0.0834 - val_distribution_lambda_11_loss: 1.3238 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 26/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9220 - distribution_lambda_10_loss: 0.2377 - distribution_lambda_11_loss: 1.2974 - distribution_lambda_12_loss: 0.3869 - val_loss: 1.8123 - val_distribution_lambda_10_loss: 0.0838 - val_distribution_lambda_11_loss: 1.3242 - val_distribution_lambda_12_loss: 0.4043\n",
- "Epoch 27/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9124 - distribution_lambda_10_loss: 0.2429 - distribution_lambda_11_loss: 1.2890 - distribution_lambda_12_loss: 0.3805 - val_loss: 1.8138 - val_distribution_lambda_10_loss: 0.0849 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4043\n",
- "Epoch 28/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8985 - distribution_lambda_10_loss: 0.1971 - distribution_lambda_11_loss: 1.3069 - distribution_lambda_12_loss: 0.3945 - val_loss: 1.8176 - val_distribution_lambda_10_loss: 0.0876 - val_distribution_lambda_11_loss: 1.3258 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 29/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8634 - distribution_lambda_10_loss: 0.2052 - distribution_lambda_11_loss: 1.2849 - distribution_lambda_12_loss: 0.3733 - val_loss: 1.8206 - val_distribution_lambda_10_loss: 0.0884 - val_distribution_lambda_11_loss: 1.3281 - val_distribution_lambda_12_loss: 0.4041\n",
- "Epoch 30/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9083 - distribution_lambda_10_loss: 0.2078 - distribution_lambda_11_loss: 1.3017 - distribution_lambda_12_loss: 0.3988 - val_loss: 1.8218 - val_distribution_lambda_10_loss: 0.0915 - val_distribution_lambda_11_loss: 1.3265 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 31/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9393 - distribution_lambda_10_loss: 0.2607 - distribution_lambda_11_loss: 1.2819 - distribution_lambda_12_loss: 0.3967 - val_loss: 1.8143 - val_distribution_lambda_10_loss: 0.0845 - val_distribution_lambda_11_loss: 1.3259 - val_distribution_lambda_12_loss: 0.4040\n",
- "Epoch 32/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8375 - distribution_lambda_10_loss: 0.1887 - distribution_lambda_11_loss: 1.2690 - distribution_lambda_12_loss: 0.3798 - val_loss: 1.8147 - val_distribution_lambda_10_loss: 0.0850 - val_distribution_lambda_11_loss: 1.3258 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 33/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8854 - distribution_lambda_10_loss: 0.2257 - distribution_lambda_11_loss: 1.2853 - distribution_lambda_12_loss: 0.3743 - val_loss: 1.8131 - val_distribution_lambda_10_loss: 0.0847 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4036\n",
- "Epoch 34/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8706 - distribution_lambda_10_loss: 0.2025 - distribution_lambda_11_loss: 1.2847 - distribution_lambda_12_loss: 0.3835 - val_loss: 1.8105 - val_distribution_lambda_10_loss: 0.0828 - val_distribution_lambda_11_loss: 1.3240 - val_distribution_lambda_12_loss: 0.4037\n",
- "Epoch 35/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9062 - distribution_lambda_10_loss: 0.2328 - distribution_lambda_11_loss: 1.2912 - distribution_lambda_12_loss: 0.3821 - val_loss: 1.8142 - val_distribution_lambda_10_loss: 0.0865 - val_distribution_lambda_11_loss: 1.3236 - val_distribution_lambda_12_loss: 0.4040\n",
- "Epoch 36/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9054 - distribution_lambda_10_loss: 0.1991 - distribution_lambda_11_loss: 1.3098 - distribution_lambda_12_loss: 0.3965 - val_loss: 1.8189 - val_distribution_lambda_10_loss: 0.0909 - val_distribution_lambda_11_loss: 1.3240 - val_distribution_lambda_12_loss: 0.4040\n",
- "Epoch 37/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8199 - distribution_lambda_10_loss: 0.1544 - distribution_lambda_11_loss: 1.2748 - distribution_lambda_12_loss: 0.3907 - val_loss: 1.8153 - val_distribution_lambda_10_loss: 0.0862 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4041\n",
- "Epoch 38/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8786 - distribution_lambda_10_loss: 0.2002 - distribution_lambda_11_loss: 1.2902 - distribution_lambda_12_loss: 0.3882 - val_loss: 1.8078 - val_distribution_lambda_10_loss: 0.0815 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4042\n",
- "Epoch 39/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8069 - distribution_lambda_10_loss: 0.1506 - distribution_lambda_11_loss: 1.2756 - distribution_lambda_12_loss: 0.3806 - val_loss: 1.8056 - val_distribution_lambda_10_loss: 0.0807 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4038\n",
- "Epoch 40/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9068 - distribution_lambda_10_loss: 0.2343 - distribution_lambda_11_loss: 1.2874 - distribution_lambda_12_loss: 0.3852 - val_loss: 1.8051 - val_distribution_lambda_10_loss: 0.0807 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 41/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8900 - distribution_lambda_10_loss: 0.2202 - distribution_lambda_11_loss: 1.2920 - distribution_lambda_12_loss: 0.3777 - val_loss: 1.8037 - val_distribution_lambda_10_loss: 0.0794 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.4028\n",
- "Epoch 42/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8697 - distribution_lambda_10_loss: 0.1912 - distribution_lambda_11_loss: 1.2995 - distribution_lambda_12_loss: 0.3790 - val_loss: 1.8050 - val_distribution_lambda_10_loss: 0.0797 - val_distribution_lambda_11_loss: 1.3229 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 43/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8724 - distribution_lambda_10_loss: 0.1743 - distribution_lambda_11_loss: 1.3005 - distribution_lambda_12_loss: 0.3976 - val_loss: 1.7974 - val_distribution_lambda_10_loss: 0.0726 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 44/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8711 - distribution_lambda_10_loss: 0.1981 - distribution_lambda_11_loss: 1.2953 - distribution_lambda_12_loss: 0.3778 - val_loss: 1.7997 - val_distribution_lambda_10_loss: 0.0729 - val_distribution_lambda_11_loss: 1.3244 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 45/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8247 - distribution_lambda_10_loss: 0.1661 - distribution_lambda_11_loss: 1.2781 - distribution_lambda_12_loss: 0.3805 - val_loss: 1.7983 - val_distribution_lambda_10_loss: 0.0739 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 46/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8031 - distribution_lambda_10_loss: 0.1642 - distribution_lambda_11_loss: 1.2648 - distribution_lambda_12_loss: 0.3740 - val_loss: 1.7988 - val_distribution_lambda_10_loss: 0.0726 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 47/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8898 - distribution_lambda_10_loss: 0.1886 - distribution_lambda_11_loss: 1.2976 - distribution_lambda_12_loss: 0.4035 - val_loss: 1.8018 - val_distribution_lambda_10_loss: 0.0740 - val_distribution_lambda_11_loss: 1.3257 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 48/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8293 - distribution_lambda_10_loss: 0.1881 - distribution_lambda_11_loss: 1.2689 - distribution_lambda_12_loss: 0.3723 - val_loss: 1.8012 - val_distribution_lambda_10_loss: 0.0761 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 49/2000\n"
+ "Epoch 25/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 14.1258 - distribution_lambda_26_loss: 8.5527 - distribution_lambda_27_loss: 4.9674 - distribution_lambda_28_loss: 0.6057 - val_loss: 12.3423 - val_distribution_lambda_26_loss: 7.6652 - val_distribution_lambda_27_loss: 4.0803 - val_distribution_lambda_28_loss: 0.5969\n",
+ "Epoch 26/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 13.1648 - distribution_lambda_26_loss: 7.9949 - distribution_lambda_27_loss: 4.5637 - distribution_lambda_28_loss: 0.6061 - val_loss: 11.7809 - val_distribution_lambda_26_loss: 7.2914 - val_distribution_lambda_27_loss: 3.8933 - val_distribution_lambda_28_loss: 0.5963\n",
+ "Epoch 27/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 12.7060 - distribution_lambda_26_loss: 7.6410 - distribution_lambda_27_loss: 4.4611 - distribution_lambda_28_loss: 0.6039 - val_loss: 11.2842 - val_distribution_lambda_26_loss: 6.9593 - val_distribution_lambda_27_loss: 3.7291 - val_distribution_lambda_28_loss: 0.5958\n",
+ "Epoch 28/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 12.1477 - distribution_lambda_26_loss: 7.2550 - distribution_lambda_27_loss: 4.2870 - distribution_lambda_28_loss: 0.6058 - val_loss: 10.8478 - val_distribution_lambda_26_loss: 6.6651 - val_distribution_lambda_27_loss: 3.5874 - val_distribution_lambda_28_loss: 0.5953\n",
+ "Epoch 29/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 11.4911 - distribution_lambda_26_loss: 6.9293 - distribution_lambda_27_loss: 3.9596 - distribution_lambda_28_loss: 0.6023 - val_loss: 10.4625 - val_distribution_lambda_26_loss: 6.4030 - val_distribution_lambda_27_loss: 3.4646 - val_distribution_lambda_28_loss: 0.5949\n",
+ "Epoch 30/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 11.3781 - distribution_lambda_26_loss: 6.7449 - distribution_lambda_27_loss: 4.0323 - distribution_lambda_28_loss: 0.6008 - val_loss: 10.1204 - val_distribution_lambda_26_loss: 6.1692 - val_distribution_lambda_27_loss: 3.3567 - val_distribution_lambda_28_loss: 0.5945\n",
+ "Epoch 31/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 10.9506 - distribution_lambda_26_loss: 6.4987 - distribution_lambda_27_loss: 3.8503 - distribution_lambda_28_loss: 0.6017 - val_loss: 9.8183 - val_distribution_lambda_26_loss: 5.9612 - val_distribution_lambda_27_loss: 3.2630 - val_distribution_lambda_28_loss: 0.5941\n",
+ "Epoch 32/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 10.6632 - distribution_lambda_26_loss: 6.3003 - distribution_lambda_27_loss: 3.7628 - distribution_lambda_28_loss: 0.6001 - val_loss: 9.5478 - val_distribution_lambda_26_loss: 5.7747 - val_distribution_lambda_27_loss: 3.1794 - val_distribution_lambda_28_loss: 0.5937\n",
+ "Epoch 33/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 10.3353 - distribution_lambda_26_loss: 6.0883 - distribution_lambda_27_loss: 3.6496 - distribution_lambda_28_loss: 0.5974 - val_loss: 9.3017 - val_distribution_lambda_26_loss: 5.6040 - val_distribution_lambda_27_loss: 3.1043 - val_distribution_lambda_28_loss: 0.5934\n",
+ "Epoch 34/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.9032 - distribution_lambda_26_loss: 5.8710 - distribution_lambda_27_loss: 3.4321 - distribution_lambda_28_loss: 0.6001 - val_loss: 9.0841 - val_distribution_lambda_26_loss: 5.4508 - val_distribution_lambda_27_loss: 3.0403 - val_distribution_lambda_28_loss: 0.5930\n",
+ "Epoch 35/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.7848 - distribution_lambda_26_loss: 5.7083 - distribution_lambda_27_loss: 3.4772 - distribution_lambda_28_loss: 0.5993 - val_loss: 8.8900 - val_distribution_lambda_26_loss: 5.3140 - val_distribution_lambda_27_loss: 2.9834 - val_distribution_lambda_28_loss: 0.5926\n",
+ "Epoch 36/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.6010 - distribution_lambda_26_loss: 5.5979 - distribution_lambda_27_loss: 3.4062 - distribution_lambda_28_loss: 0.5970 - val_loss: 8.7125 - val_distribution_lambda_26_loss: 5.1875 - val_distribution_lambda_27_loss: 2.9327 - val_distribution_lambda_28_loss: 0.5923\n",
+ "Epoch 37/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.3883 - distribution_lambda_26_loss: 5.4777 - distribution_lambda_27_loss: 3.3108 - distribution_lambda_28_loss: 0.5998 - val_loss: 8.5506 - val_distribution_lambda_26_loss: 5.0721 - val_distribution_lambda_27_loss: 2.8865 - val_distribution_lambda_28_loss: 0.5920\n",
+ "Epoch 38/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 9.1992 - distribution_lambda_26_loss: 5.3754 - distribution_lambda_27_loss: 3.2277 - distribution_lambda_28_loss: 0.5962 - val_loss: 8.4045 - val_distribution_lambda_26_loss: 4.9664 - val_distribution_lambda_27_loss: 2.8464 - val_distribution_lambda_28_loss: 0.5916\n",
+ "Epoch 39/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.9762 - distribution_lambda_26_loss: 5.1713 - distribution_lambda_27_loss: 3.2076 - distribution_lambda_28_loss: 0.5973 - val_loss: 8.2727 - val_distribution_lambda_26_loss: 4.8711 - val_distribution_lambda_27_loss: 2.8104 - val_distribution_lambda_28_loss: 0.5913\n",
+ "Epoch 40/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.8104 - distribution_lambda_26_loss: 5.1153 - distribution_lambda_27_loss: 3.0964 - distribution_lambda_28_loss: 0.5986 - val_loss: 8.1532 - val_distribution_lambda_26_loss: 4.7835 - val_distribution_lambda_27_loss: 2.7787 - val_distribution_lambda_28_loss: 0.5909\n",
+ "Epoch 41/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.6865 - distribution_lambda_26_loss: 4.9994 - distribution_lambda_27_loss: 3.0898 - distribution_lambda_28_loss: 0.5974 - val_loss: 8.0424 - val_distribution_lambda_26_loss: 4.7024 - val_distribution_lambda_27_loss: 2.7494 - val_distribution_lambda_28_loss: 0.5906\n",
+ "Epoch 42/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.6269 - distribution_lambda_26_loss: 4.9760 - distribution_lambda_27_loss: 3.0516 - distribution_lambda_28_loss: 0.5994 - val_loss: 7.9394 - val_distribution_lambda_26_loss: 4.6269 - val_distribution_lambda_27_loss: 2.7223 - val_distribution_lambda_28_loss: 0.5902\n",
+ "Epoch 43/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.5404 - distribution_lambda_26_loss: 4.8860 - distribution_lambda_27_loss: 3.0587 - distribution_lambda_28_loss: 0.5957 - val_loss: 7.8433 - val_distribution_lambda_26_loss: 4.5563 - val_distribution_lambda_27_loss: 2.6972 - val_distribution_lambda_28_loss: 0.5899\n",
+ "Epoch 44/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 8.3453 - distribution_lambda_26_loss: 4.8044 - distribution_lambda_27_loss: 2.9455 - distribution_lambda_28_loss: 0.5955 - val_loss: 7.7559 - val_distribution_lambda_26_loss: 4.4914 - val_distribution_lambda_27_loss: 2.6750 - val_distribution_lambda_28_loss: 0.5895\n",
+ "Epoch 45/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.3607 - distribution_lambda_26_loss: 4.7509 - distribution_lambda_27_loss: 3.0136 - distribution_lambda_28_loss: 0.5962 - val_loss: 7.6743 - val_distribution_lambda_26_loss: 4.4308 - val_distribution_lambda_27_loss: 2.6544 - val_distribution_lambda_28_loss: 0.5891\n",
+ "Epoch 46/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.1768 - distribution_lambda_26_loss: 4.6482 - distribution_lambda_27_loss: 2.9357 - distribution_lambda_28_loss: 0.5929 - val_loss: 7.5985 - val_distribution_lambda_26_loss: 4.3740 - val_distribution_lambda_27_loss: 2.6358 - val_distribution_lambda_28_loss: 0.5887\n",
+ "Epoch 47/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 8.1367 - distribution_lambda_26_loss: 4.6072 - distribution_lambda_27_loss: 2.9355 - distribution_lambda_28_loss: 0.5940 - val_loss: 7.5274 - val_distribution_lambda_26_loss: 4.3208 - val_distribution_lambda_27_loss: 2.6182 - val_distribution_lambda_28_loss: 0.5884\n",
+ "Epoch 48/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.9991 - distribution_lambda_26_loss: 4.5083 - distribution_lambda_27_loss: 2.8979 - distribution_lambda_28_loss: 0.5928 - val_loss: 7.4606 - val_distribution_lambda_26_loss: 4.2710 - val_distribution_lambda_27_loss: 2.6015 - val_distribution_lambda_28_loss: 0.5880\n",
+ "Epoch 49/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8720 - distribution_lambda_10_loss: 0.2033 - distribution_lambda_11_loss: 1.2868 - distribution_lambda_12_loss: 0.3819 - val_loss: 1.7989 - val_distribution_lambda_10_loss: 0.0737 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 50/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9458 - distribution_lambda_10_loss: 0.2602 - distribution_lambda_11_loss: 1.3087 - distribution_lambda_12_loss: 0.3769 - val_loss: 1.8034 - val_distribution_lambda_10_loss: 0.0777 - val_distribution_lambda_11_loss: 1.3235 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 51/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8785 - distribution_lambda_10_loss: 0.1932 - distribution_lambda_11_loss: 1.2918 - distribution_lambda_12_loss: 0.3935 - val_loss: 1.8050 - val_distribution_lambda_10_loss: 0.0779 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 52/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8723 - distribution_lambda_10_loss: 0.1805 - distribution_lambda_11_loss: 1.3061 - distribution_lambda_12_loss: 0.3857 - val_loss: 1.8013 - val_distribution_lambda_10_loss: 0.0748 - val_distribution_lambda_11_loss: 1.3241 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 53/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8802 - distribution_lambda_10_loss: 0.1974 - distribution_lambda_11_loss: 1.3002 - distribution_lambda_12_loss: 0.3827 - val_loss: 1.8070 - val_distribution_lambda_10_loss: 0.0797 - val_distribution_lambda_11_loss: 1.3248 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 54/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.9076 - distribution_lambda_10_loss: 0.2130 - distribution_lambda_11_loss: 1.3030 - distribution_lambda_12_loss: 0.3916 - val_loss: 1.8037 - val_distribution_lambda_10_loss: 0.0732 - val_distribution_lambda_11_loss: 1.3275 - val_distribution_lambda_12_loss: 0.4030\n",
- "Epoch 55/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8582 - distribution_lambda_10_loss: 0.1954 - distribution_lambda_11_loss: 1.2783 - distribution_lambda_12_loss: 0.3844 - val_loss: 1.8008 - val_distribution_lambda_10_loss: 0.0737 - val_distribution_lambda_11_loss: 1.3245 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 56/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8618 - distribution_lambda_10_loss: 0.1880 - distribution_lambda_11_loss: 1.2842 - distribution_lambda_12_loss: 0.3896 - val_loss: 1.7985 - val_distribution_lambda_10_loss: 0.0722 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 57/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8685 - distribution_lambda_10_loss: 0.1786 - distribution_lambda_11_loss: 1.3043 - distribution_lambda_12_loss: 0.3856 - val_loss: 1.7985 - val_distribution_lambda_10_loss: 0.0713 - val_distribution_lambda_11_loss: 1.3249 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 58/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8740 - distribution_lambda_10_loss: 0.1997 - distribution_lambda_11_loss: 1.2934 - distribution_lambda_12_loss: 0.3810 - val_loss: 1.7994 - val_distribution_lambda_10_loss: 0.0736 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 59/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8772 - distribution_lambda_10_loss: 0.1853 - distribution_lambda_11_loss: 1.2948 - distribution_lambda_12_loss: 0.3971 - val_loss: 1.7949 - val_distribution_lambda_10_loss: 0.0701 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 60/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8881 - distribution_lambda_10_loss: 0.2037 - distribution_lambda_11_loss: 1.2976 - distribution_lambda_12_loss: 0.3868 - val_loss: 1.8022 - val_distribution_lambda_10_loss: 0.0760 - val_distribution_lambda_11_loss: 1.3235 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 61/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9871 - distribution_lambda_10_loss: 0.2712 - distribution_lambda_11_loss: 1.3184 - distribution_lambda_12_loss: 0.3974 - val_loss: 1.8091 - val_distribution_lambda_10_loss: 0.0793 - val_distribution_lambda_11_loss: 1.3272 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 62/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8240 - distribution_lambda_10_loss: 0.1746 - distribution_lambda_11_loss: 1.2769 - distribution_lambda_12_loss: 0.3725 - val_loss: 1.8041 - val_distribution_lambda_10_loss: 0.0766 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 63/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8947 - distribution_lambda_10_loss: 0.2060 - distribution_lambda_11_loss: 1.2901 - distribution_lambda_12_loss: 0.3986 - val_loss: 1.8051 - val_distribution_lambda_10_loss: 0.0802 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 64/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8909 - distribution_lambda_10_loss: 0.2276 - distribution_lambda_11_loss: 1.2858 - distribution_lambda_12_loss: 0.3775 - val_loss: 1.8006 - val_distribution_lambda_10_loss: 0.0759 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 65/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8588 - distribution_lambda_10_loss: 0.1928 - distribution_lambda_11_loss: 1.2918 - distribution_lambda_12_loss: 0.3741 - val_loss: 1.8038 - val_distribution_lambda_10_loss: 0.0805 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 66/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8805 - distribution_lambda_10_loss: 0.2480 - distribution_lambda_11_loss: 1.2594 - distribution_lambda_12_loss: 0.3731 - val_loss: 1.7980 - val_distribution_lambda_10_loss: 0.0739 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 67/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8500 - distribution_lambda_10_loss: 0.1919 - distribution_lambda_11_loss: 1.2864 - distribution_lambda_12_loss: 0.3717 - val_loss: 1.7954 - val_distribution_lambda_10_loss: 0.0726 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 68/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8802 - distribution_lambda_10_loss: 0.2151 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3849 - val_loss: 1.7989 - val_distribution_lambda_10_loss: 0.0749 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 69/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9610 - distribution_lambda_10_loss: 0.2524 - distribution_lambda_11_loss: 1.3077 - distribution_lambda_12_loss: 0.4008 - val_loss: 1.8085 - val_distribution_lambda_10_loss: 0.0835 - val_distribution_lambda_11_loss: 1.3222 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 70/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8414 - distribution_lambda_10_loss: 0.1584 - distribution_lambda_11_loss: 1.2987 - distribution_lambda_12_loss: 0.3843 - val_loss: 1.8016 - val_distribution_lambda_10_loss: 0.0779 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 71/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8905 - distribution_lambda_10_loss: 0.1907 - distribution_lambda_11_loss: 1.3019 - distribution_lambda_12_loss: 0.3980 - val_loss: 1.7976 - val_distribution_lambda_10_loss: 0.0735 - val_distribution_lambda_11_loss: 1.3212 - val_distribution_lambda_12_loss: 0.4030\n",
- "Epoch 72/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8575 - distribution_lambda_10_loss: 0.1851 - distribution_lambda_11_loss: 1.2852 - distribution_lambda_12_loss: 0.3871 - val_loss: 1.8006 - val_distribution_lambda_10_loss: 0.0738 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 73/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.9865 - distribution_lambda_26_loss: 4.4911 - distribution_lambda_27_loss: 2.9055 - distribution_lambda_28_loss: 0.5899 - val_loss: 7.3985 - val_distribution_lambda_26_loss: 4.2245 - val_distribution_lambda_27_loss: 2.5863 - val_distribution_lambda_28_loss: 0.5877\n",
+ "Epoch 50/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.8558 - distribution_lambda_26_loss: 4.4284 - distribution_lambda_27_loss: 2.8348 - distribution_lambda_28_loss: 0.5926 - val_loss: 7.3403 - val_distribution_lambda_26_loss: 4.1806 - val_distribution_lambda_27_loss: 2.5724 - val_distribution_lambda_28_loss: 0.5873\n",
+ "Epoch 51/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 7.7991 - distribution_lambda_26_loss: 4.4161 - distribution_lambda_27_loss: 2.7907 - distribution_lambda_28_loss: 0.5923 - val_loss: 7.2854 - val_distribution_lambda_26_loss: 4.1390 - val_distribution_lambda_27_loss: 2.5595 - val_distribution_lambda_28_loss: 0.5870\n",
+ "Epoch 52/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.7079 - distribution_lambda_26_loss: 4.3518 - distribution_lambda_27_loss: 2.7659 - distribution_lambda_28_loss: 0.5903 - val_loss: 7.2337 - val_distribution_lambda_26_loss: 4.0996 - val_distribution_lambda_27_loss: 2.5475 - val_distribution_lambda_28_loss: 0.5866\n",
+ "Epoch 53/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.5517 - distribution_lambda_26_loss: 4.2326 - distribution_lambda_27_loss: 2.7278 - distribution_lambda_28_loss: 0.5913 - val_loss: 7.1862 - val_distribution_lambda_26_loss: 4.0635 - val_distribution_lambda_27_loss: 2.5364 - val_distribution_lambda_28_loss: 0.5863\n",
+ "Epoch 54/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.6425 - distribution_lambda_26_loss: 4.2836 - distribution_lambda_27_loss: 2.7681 - distribution_lambda_28_loss: 0.5908 - val_loss: 7.1404 - val_distribution_lambda_26_loss: 4.0286 - val_distribution_lambda_27_loss: 2.5258 - val_distribution_lambda_28_loss: 0.5860\n",
+ "Epoch 55/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.4601 - distribution_lambda_26_loss: 4.1682 - distribution_lambda_27_loss: 2.7026 - distribution_lambda_28_loss: 0.5892 - val_loss: 7.0985 - val_distribution_lambda_26_loss: 3.9967 - val_distribution_lambda_27_loss: 2.5162 - val_distribution_lambda_28_loss: 0.5857\n",
+ "Epoch 56/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.5660 - distribution_lambda_26_loss: 4.2144 - distribution_lambda_27_loss: 2.7633 - distribution_lambda_28_loss: 0.5883 - val_loss: 7.0573 - val_distribution_lambda_26_loss: 3.9653 - val_distribution_lambda_27_loss: 2.5066 - val_distribution_lambda_28_loss: 0.5853\n",
+ "Epoch 57/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.4166 - distribution_lambda_26_loss: 4.1323 - distribution_lambda_27_loss: 2.6956 - distribution_lambda_28_loss: 0.5888 - val_loss: 7.0188 - val_distribution_lambda_26_loss: 3.9358 - val_distribution_lambda_27_loss: 2.4980 - val_distribution_lambda_28_loss: 0.5850\n",
+ "Epoch 58/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.4002 - distribution_lambda_26_loss: 4.1184 - distribution_lambda_27_loss: 2.6919 - distribution_lambda_28_loss: 0.5898 - val_loss: 6.9818 - val_distribution_lambda_26_loss: 3.9076 - val_distribution_lambda_27_loss: 2.4897 - val_distribution_lambda_28_loss: 0.5846\n",
+ "Epoch 59/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.2561 - distribution_lambda_26_loss: 4.0319 - distribution_lambda_27_loss: 2.6340 - distribution_lambda_28_loss: 0.5903 - val_loss: 6.9477 - val_distribution_lambda_26_loss: 3.8813 - val_distribution_lambda_27_loss: 2.4822 - val_distribution_lambda_28_loss: 0.5842\n",
+ "Epoch 60/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.2868 - distribution_lambda_26_loss: 4.0408 - distribution_lambda_27_loss: 2.6601 - distribution_lambda_28_loss: 0.5860 - val_loss: 6.9149 - val_distribution_lambda_26_loss: 3.8560 - val_distribution_lambda_27_loss: 2.4751 - val_distribution_lambda_28_loss: 0.5838\n",
+ "Epoch 61/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.3000 - distribution_lambda_26_loss: 4.0213 - distribution_lambda_27_loss: 2.6898 - distribution_lambda_28_loss: 0.5889 - val_loss: 6.8832 - val_distribution_lambda_26_loss: 3.8317 - val_distribution_lambda_27_loss: 2.4679 - val_distribution_lambda_28_loss: 0.5835\n",
+ "Epoch 62/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.1956 - distribution_lambda_26_loss: 3.9834 - distribution_lambda_27_loss: 2.6234 - distribution_lambda_28_loss: 0.5888 - val_loss: 6.8530 - val_distribution_lambda_26_loss: 3.8085 - val_distribution_lambda_27_loss: 2.4613 - val_distribution_lambda_28_loss: 0.5832\n",
+ "Epoch 63/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 7.2197 - distribution_lambda_26_loss: 3.9880 - distribution_lambda_27_loss: 2.6420 - distribution_lambda_28_loss: 0.5896 - val_loss: 6.8242 - val_distribution_lambda_26_loss: 3.7863 - val_distribution_lambda_27_loss: 2.4551 - val_distribution_lambda_28_loss: 0.5829\n",
+ "Epoch 64/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.1092 - distribution_lambda_26_loss: 3.9378 - distribution_lambda_27_loss: 2.5830 - distribution_lambda_28_loss: 0.5885 - val_loss: 6.7972 - val_distribution_lambda_26_loss: 3.7652 - val_distribution_lambda_27_loss: 2.4494 - val_distribution_lambda_28_loss: 0.5826\n",
+ "Epoch 65/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 7.1478 - distribution_lambda_26_loss: 3.9366 - distribution_lambda_27_loss: 2.6254 - distribution_lambda_28_loss: 0.5858 - val_loss: 6.7703 - val_distribution_lambda_26_loss: 3.7446 - val_distribution_lambda_27_loss: 2.4434 - val_distribution_lambda_28_loss: 0.5823\n",
+ "Epoch 66/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0493 - distribution_lambda_26_loss: 3.8773 - distribution_lambda_27_loss: 2.5851 - distribution_lambda_28_loss: 0.5868 - val_loss: 6.7449 - val_distribution_lambda_26_loss: 3.7250 - val_distribution_lambda_27_loss: 2.4378 - val_distribution_lambda_28_loss: 0.5820\n",
+ "Epoch 67/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0647 - distribution_lambda_26_loss: 3.8819 - distribution_lambda_27_loss: 2.5956 - distribution_lambda_28_loss: 0.5872 - val_loss: 6.7206 - val_distribution_lambda_26_loss: 3.7063 - val_distribution_lambda_27_loss: 2.4326 - val_distribution_lambda_28_loss: 0.5817\n",
+ "Epoch 68/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0555 - distribution_lambda_26_loss: 3.8600 - distribution_lambda_27_loss: 2.6108 - distribution_lambda_28_loss: 0.5847 - val_loss: 6.6969 - val_distribution_lambda_26_loss: 3.6883 - val_distribution_lambda_27_loss: 2.4272 - val_distribution_lambda_28_loss: 0.5814\n",
+ "Epoch 69/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 7.0164 - distribution_lambda_26_loss: 3.8324 - distribution_lambda_27_loss: 2.5987 - distribution_lambda_28_loss: 0.5853 - val_loss: 6.6741 - val_distribution_lambda_26_loss: 3.6709 - val_distribution_lambda_27_loss: 2.4221 - val_distribution_lambda_28_loss: 0.5811\n",
+ "Epoch 70/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9047 - distribution_lambda_26_loss: 3.7708 - distribution_lambda_27_loss: 2.5491 - distribution_lambda_28_loss: 0.5848 - val_loss: 6.6527 - val_distribution_lambda_26_loss: 3.6546 - val_distribution_lambda_27_loss: 2.4172 - val_distribution_lambda_28_loss: 0.5808\n",
+ "Epoch 71/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9685 - distribution_lambda_26_loss: 3.7961 - distribution_lambda_27_loss: 2.5857 - distribution_lambda_28_loss: 0.5868 - val_loss: 6.6319 - val_distribution_lambda_26_loss: 3.6387 - val_distribution_lambda_27_loss: 2.4126 - val_distribution_lambda_28_loss: 0.5805\n",
+ "Epoch 72/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9546 - distribution_lambda_26_loss: 3.7851 - distribution_lambda_27_loss: 2.5878 - distribution_lambda_28_loss: 0.5817 - val_loss: 6.6116 - val_distribution_lambda_26_loss: 3.6232 - val_distribution_lambda_27_loss: 2.4082 - val_distribution_lambda_28_loss: 0.5802\n",
+ "Epoch 73/2500\n"
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- "Epoch 79/2000\n",
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- "8/8 [==============================] - 0s 6ms/step - loss: 1.8342 - distribution_lambda_10_loss: 0.1557 - distribution_lambda_11_loss: 1.2865 - distribution_lambda_12_loss: 0.3920 - val_loss: 1.7906 - val_distribution_lambda_10_loss: 0.0668 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 81/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8107 - distribution_lambda_10_loss: 0.1225 - distribution_lambda_11_loss: 1.2985 - distribution_lambda_12_loss: 0.3897 - val_loss: 1.7920 - val_distribution_lambda_10_loss: 0.0698 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 82/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8040 - distribution_lambda_10_loss: 0.1319 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3919 - val_loss: 1.7893 - val_distribution_lambda_10_loss: 0.0671 - val_distribution_lambda_11_loss: 1.3208 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 83/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9010 - distribution_lambda_10_loss: 0.1945 - distribution_lambda_11_loss: 1.3037 - distribution_lambda_12_loss: 0.4028 - val_loss: 1.7864 - val_distribution_lambda_10_loss: 0.0645 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 84/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8709 - distribution_lambda_10_loss: 0.2012 - distribution_lambda_11_loss: 1.2883 - distribution_lambda_12_loss: 0.3814 - val_loss: 1.7848 - val_distribution_lambda_10_loss: 0.0628 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 85/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8499 - distribution_lambda_10_loss: 0.1933 - distribution_lambda_11_loss: 1.2835 - distribution_lambda_12_loss: 0.3731 - val_loss: 1.7896 - val_distribution_lambda_10_loss: 0.0666 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 86/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8220 - distribution_lambda_10_loss: 0.1555 - distribution_lambda_11_loss: 1.2788 - distribution_lambda_12_loss: 0.3877 - val_loss: 1.7867 - val_distribution_lambda_10_loss: 0.0640 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 87/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9069 - distribution_lambda_10_loss: 0.2198 - distribution_lambda_11_loss: 1.2974 - distribution_lambda_12_loss: 0.3896 - val_loss: 1.7847 - val_distribution_lambda_10_loss: 0.0617 - val_distribution_lambda_11_loss: 1.3209 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 88/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8658 - distribution_lambda_10_loss: 0.1955 - distribution_lambda_11_loss: 1.2783 - distribution_lambda_12_loss: 0.3920 - val_loss: 1.7853 - val_distribution_lambda_10_loss: 0.0622 - val_distribution_lambda_11_loss: 1.3208 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 89/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8995 - distribution_lambda_10_loss: 0.2198 - distribution_lambda_11_loss: 1.2856 - distribution_lambda_12_loss: 0.3941 - val_loss: 1.7887 - val_distribution_lambda_10_loss: 0.0670 - val_distribution_lambda_11_loss: 1.3195 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 90/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8709 - distribution_lambda_10_loss: 0.1663 - distribution_lambda_11_loss: 1.3135 - distribution_lambda_12_loss: 0.3911 - val_loss: 1.7863 - val_distribution_lambda_10_loss: 0.0650 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4019\n",
- "Epoch 91/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8485 - distribution_lambda_10_loss: 0.1693 - distribution_lambda_11_loss: 1.2907 - distribution_lambda_12_loss: 0.3885 - val_loss: 1.7854 - val_distribution_lambda_10_loss: 0.0637 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 92/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8114 - distribution_lambda_10_loss: 0.1405 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3891 - val_loss: 1.7870 - val_distribution_lambda_10_loss: 0.0631 - val_distribution_lambda_11_loss: 1.3219 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 93/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8511 - distribution_lambda_10_loss: 0.1874 - distribution_lambda_11_loss: 1.2831 - distribution_lambda_12_loss: 0.3807 - val_loss: 1.7922 - val_distribution_lambda_10_loss: 0.0668 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 94/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8379 - distribution_lambda_10_loss: 0.1747 - distribution_lambda_11_loss: 1.2749 - distribution_lambda_12_loss: 0.3883 - val_loss: 1.7886 - val_distribution_lambda_10_loss: 0.0637 - val_distribution_lambda_11_loss: 1.3227 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 95/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8569 - distribution_lambda_10_loss: 0.1898 - distribution_lambda_11_loss: 1.2937 - distribution_lambda_12_loss: 0.3733 - val_loss: 1.7868 - val_distribution_lambda_10_loss: 0.0619 - val_distribution_lambda_11_loss: 1.3221 - val_distribution_lambda_12_loss: 0.4028\n",
- "Epoch 96/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8181 - distribution_lambda_10_loss: 0.1530 - distribution_lambda_11_loss: 1.2848 - distribution_lambda_12_loss: 0.3803 - val_loss: 1.7853 - val_distribution_lambda_10_loss: 0.0612 - val_distribution_lambda_11_loss: 1.3209 - val_distribution_lambda_12_loss: 0.4032\n",
- "Epoch 97/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8357 - distribution_lambda_26_loss: 3.7325 - distribution_lambda_27_loss: 2.5194 - distribution_lambda_28_loss: 0.5838 - val_loss: 6.5927 - val_distribution_lambda_26_loss: 3.6086 - val_distribution_lambda_27_loss: 2.4042 - val_distribution_lambda_28_loss: 0.5799\n",
+ "Epoch 74/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.9220 - distribution_lambda_26_loss: 3.7512 - distribution_lambda_27_loss: 2.5882 - distribution_lambda_28_loss: 0.5826 - val_loss: 6.5738 - val_distribution_lambda_26_loss: 3.5942 - val_distribution_lambda_27_loss: 2.4000 - val_distribution_lambda_28_loss: 0.5796\n",
+ "Epoch 75/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8587 - distribution_lambda_26_loss: 3.7066 - distribution_lambda_27_loss: 2.5710 - distribution_lambda_28_loss: 0.5810 - val_loss: 6.5556 - val_distribution_lambda_26_loss: 3.5805 - val_distribution_lambda_27_loss: 2.3958 - val_distribution_lambda_28_loss: 0.5793\n",
+ "Epoch 76/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8373 - distribution_lambda_26_loss: 3.7023 - distribution_lambda_27_loss: 2.5557 - distribution_lambda_28_loss: 0.5793 - val_loss: 6.5377 - val_distribution_lambda_26_loss: 3.5670 - val_distribution_lambda_27_loss: 2.3917 - val_distribution_lambda_28_loss: 0.5790\n",
+ "Epoch 77/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.7754 - distribution_lambda_26_loss: 3.6723 - distribution_lambda_27_loss: 2.5190 - distribution_lambda_28_loss: 0.5840 - val_loss: 6.5206 - val_distribution_lambda_26_loss: 3.5541 - val_distribution_lambda_27_loss: 2.3878 - val_distribution_lambda_28_loss: 0.5787\n",
+ "Epoch 78/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8082 - distribution_lambda_26_loss: 3.6799 - distribution_lambda_27_loss: 2.5486 - distribution_lambda_28_loss: 0.5796 - val_loss: 6.5038 - val_distribution_lambda_26_loss: 3.5415 - val_distribution_lambda_27_loss: 2.3838 - val_distribution_lambda_28_loss: 0.5785\n",
+ "Epoch 79/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.8400 - distribution_lambda_26_loss: 3.6829 - distribution_lambda_27_loss: 2.5745 - distribution_lambda_28_loss: 0.5827 - val_loss: 6.4873 - val_distribution_lambda_26_loss: 3.5290 - val_distribution_lambda_27_loss: 2.3800 - val_distribution_lambda_28_loss: 0.5782\n",
+ "Epoch 80/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.8222 - distribution_lambda_26_loss: 3.6521 - distribution_lambda_27_loss: 2.5914 - distribution_lambda_28_loss: 0.5787 - val_loss: 6.4712 - val_distribution_lambda_26_loss: 3.5171 - val_distribution_lambda_27_loss: 2.3760 - val_distribution_lambda_28_loss: 0.5780\n",
+ "Epoch 81/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.6748 - distribution_lambda_26_loss: 3.6043 - distribution_lambda_27_loss: 2.4888 - distribution_lambda_28_loss: 0.5817 - val_loss: 6.4562 - val_distribution_lambda_26_loss: 3.5057 - val_distribution_lambda_27_loss: 2.3727 - val_distribution_lambda_28_loss: 0.5778\n",
+ "Epoch 82/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6954 - distribution_lambda_26_loss: 3.6358 - distribution_lambda_27_loss: 2.4776 - distribution_lambda_28_loss: 0.5819 - val_loss: 6.4416 - val_distribution_lambda_26_loss: 3.4946 - val_distribution_lambda_27_loss: 2.3695 - val_distribution_lambda_28_loss: 0.5775\n",
+ "Epoch 83/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6958 - distribution_lambda_26_loss: 3.6084 - distribution_lambda_27_loss: 2.5088 - distribution_lambda_28_loss: 0.5786 - val_loss: 6.4276 - val_distribution_lambda_26_loss: 3.4838 - val_distribution_lambda_27_loss: 2.3665 - val_distribution_lambda_28_loss: 0.5773\n",
+ "Epoch 84/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6642 - distribution_lambda_26_loss: 3.6012 - distribution_lambda_27_loss: 2.4823 - distribution_lambda_28_loss: 0.5807 - val_loss: 6.4138 - val_distribution_lambda_26_loss: 3.4732 - val_distribution_lambda_27_loss: 2.3636 - val_distribution_lambda_28_loss: 0.5771\n",
+ "Epoch 85/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.6607 - distribution_lambda_26_loss: 3.5855 - distribution_lambda_27_loss: 2.4950 - distribution_lambda_28_loss: 0.5802 - val_loss: 6.4004 - val_distribution_lambda_26_loss: 3.4631 - val_distribution_lambda_27_loss: 2.3605 - val_distribution_lambda_28_loss: 0.5768\n",
+ "Epoch 86/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.6158 - distribution_lambda_26_loss: 3.5732 - distribution_lambda_27_loss: 2.4624 - distribution_lambda_28_loss: 0.5803 - val_loss: 6.3871 - val_distribution_lambda_26_loss: 3.4531 - val_distribution_lambda_27_loss: 2.3575 - val_distribution_lambda_28_loss: 0.5765\n",
+ "Epoch 87/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6540 - distribution_lambda_26_loss: 3.5599 - distribution_lambda_27_loss: 2.5137 - distribution_lambda_28_loss: 0.5804 - val_loss: 6.3742 - val_distribution_lambda_26_loss: 3.4434 - val_distribution_lambda_27_loss: 2.3545 - val_distribution_lambda_28_loss: 0.5763\n",
+ "Epoch 88/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.6209 - distribution_lambda_26_loss: 3.5602 - distribution_lambda_27_loss: 2.4808 - distribution_lambda_28_loss: 0.5799 - val_loss: 6.3614 - val_distribution_lambda_26_loss: 3.4340 - val_distribution_lambda_27_loss: 2.3514 - val_distribution_lambda_28_loss: 0.5760\n",
+ "Epoch 89/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5930 - distribution_lambda_26_loss: 3.5228 - distribution_lambda_27_loss: 2.4925 - distribution_lambda_28_loss: 0.5778 - val_loss: 6.3490 - val_distribution_lambda_26_loss: 3.4249 - val_distribution_lambda_27_loss: 2.3482 - val_distribution_lambda_28_loss: 0.5758\n",
+ "Epoch 90/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5876 - distribution_lambda_26_loss: 3.5332 - distribution_lambda_27_loss: 2.4759 - distribution_lambda_28_loss: 0.5785 - val_loss: 6.3370 - val_distribution_lambda_26_loss: 3.4160 - val_distribution_lambda_27_loss: 2.3453 - val_distribution_lambda_28_loss: 0.5757\n",
+ "Epoch 91/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5707 - distribution_lambda_26_loss: 3.5098 - distribution_lambda_27_loss: 2.4839 - distribution_lambda_28_loss: 0.5770 - val_loss: 6.3253 - val_distribution_lambda_26_loss: 3.4073 - val_distribution_lambda_27_loss: 2.3425 - val_distribution_lambda_28_loss: 0.5755\n",
+ "Epoch 92/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5351 - distribution_lambda_26_loss: 3.4923 - distribution_lambda_27_loss: 2.4650 - distribution_lambda_28_loss: 0.5778 - val_loss: 6.3137 - val_distribution_lambda_26_loss: 3.3990 - val_distribution_lambda_27_loss: 2.3395 - val_distribution_lambda_28_loss: 0.5753\n",
+ "Epoch 93/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5455 - distribution_lambda_26_loss: 3.4892 - distribution_lambda_27_loss: 2.4786 - distribution_lambda_28_loss: 0.5777 - val_loss: 6.3023 - val_distribution_lambda_26_loss: 3.3907 - val_distribution_lambda_27_loss: 2.3364 - val_distribution_lambda_28_loss: 0.5751\n",
+ "Epoch 94/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4953 - distribution_lambda_26_loss: 3.4884 - distribution_lambda_27_loss: 2.4304 - distribution_lambda_28_loss: 0.5766 - val_loss: 6.2914 - val_distribution_lambda_26_loss: 3.3827 - val_distribution_lambda_27_loss: 2.3338 - val_distribution_lambda_28_loss: 0.5748\n",
+ "Epoch 95/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4939 - distribution_lambda_26_loss: 3.4717 - distribution_lambda_27_loss: 2.4445 - distribution_lambda_28_loss: 0.5778 - val_loss: 6.2807 - val_distribution_lambda_26_loss: 3.3749 - val_distribution_lambda_27_loss: 2.3311 - val_distribution_lambda_28_loss: 0.5747\n",
+ "Epoch 96/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5390 - distribution_lambda_26_loss: 3.4677 - distribution_lambda_27_loss: 2.4946 - distribution_lambda_28_loss: 0.5767 - val_loss: 6.2698 - val_distribution_lambda_26_loss: 3.3673 - val_distribution_lambda_27_loss: 2.3279 - val_distribution_lambda_28_loss: 0.5746\n",
+ "Epoch 97/2500\n"
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- "Epoch 98/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8441 - distribution_lambda_10_loss: 0.1689 - distribution_lambda_11_loss: 1.2935 - distribution_lambda_12_loss: 0.3817 - val_loss: 1.7912 - val_distribution_lambda_10_loss: 0.0671 - val_distribution_lambda_11_loss: 1.3208 - val_distribution_lambda_12_loss: 0.4034\n",
- "Epoch 99/2000\n",
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- "Epoch 100/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8102 - distribution_lambda_10_loss: 0.1351 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3934 - val_loss: 1.7965 - val_distribution_lambda_10_loss: 0.0694 - val_distribution_lambda_11_loss: 1.3240 - val_distribution_lambda_12_loss: 0.4031\n",
- "Epoch 101/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8485 - distribution_lambda_10_loss: 0.1700 - distribution_lambda_11_loss: 1.2973 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7971 - val_distribution_lambda_10_loss: 0.0695 - val_distribution_lambda_11_loss: 1.3247 - val_distribution_lambda_12_loss: 0.4029\n",
- "Epoch 102/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8206 - distribution_lambda_10_loss: 0.1577 - distribution_lambda_11_loss: 1.2782 - distribution_lambda_12_loss: 0.3847 - val_loss: 1.7965 - val_distribution_lambda_10_loss: 0.0679 - val_distribution_lambda_11_loss: 1.3263 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 103/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8015 - distribution_lambda_10_loss: 0.1639 - distribution_lambda_11_loss: 1.2674 - distribution_lambda_12_loss: 0.3702 - val_loss: 1.7977 - val_distribution_lambda_10_loss: 0.0715 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 104/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8086 - distribution_lambda_10_loss: 0.1523 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3745 - val_loss: 1.7905 - val_distribution_lambda_10_loss: 0.0652 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 105/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8512 - distribution_lambda_10_loss: 0.1881 - distribution_lambda_11_loss: 1.2830 - distribution_lambda_12_loss: 0.3801 - val_loss: 1.7892 - val_distribution_lambda_10_loss: 0.0645 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 106/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8819 - distribution_lambda_10_loss: 0.2137 - distribution_lambda_11_loss: 1.2859 - distribution_lambda_12_loss: 0.3824 - val_loss: 1.7918 - val_distribution_lambda_10_loss: 0.0664 - val_distribution_lambda_11_loss: 1.3244 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 107/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8809 - distribution_lambda_10_loss: 0.1848 - distribution_lambda_11_loss: 1.3027 - distribution_lambda_12_loss: 0.3934 - val_loss: 1.7901 - val_distribution_lambda_10_loss: 0.0654 - val_distribution_lambda_11_loss: 1.3236 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 108/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7808 - distribution_lambda_10_loss: 0.1370 - distribution_lambda_11_loss: 1.2719 - distribution_lambda_12_loss: 0.3719 - val_loss: 1.7877 - val_distribution_lambda_10_loss: 0.0670 - val_distribution_lambda_11_loss: 1.3200 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 109/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8839 - distribution_lambda_10_loss: 0.2063 - distribution_lambda_11_loss: 1.2862 - distribution_lambda_12_loss: 0.3913 - val_loss: 1.7844 - val_distribution_lambda_10_loss: 0.0637 - val_distribution_lambda_11_loss: 1.3200 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 110/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8191 - distribution_lambda_10_loss: 0.1631 - distribution_lambda_11_loss: 1.2776 - distribution_lambda_12_loss: 0.3784 - val_loss: 1.7816 - val_distribution_lambda_10_loss: 0.0605 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 111/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8627 - distribution_lambda_10_loss: 0.1971 - distribution_lambda_11_loss: 1.2905 - distribution_lambda_12_loss: 0.3751 - val_loss: 1.7849 - val_distribution_lambda_10_loss: 0.0622 - val_distribution_lambda_11_loss: 1.3218 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 112/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8126 - distribution_lambda_10_loss: 0.1551 - distribution_lambda_11_loss: 1.2751 - distribution_lambda_12_loss: 0.3824 - val_loss: 1.7825 - val_distribution_lambda_10_loss: 0.0595 - val_distribution_lambda_11_loss: 1.3217 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 113/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8131 - distribution_lambda_10_loss: 0.1537 - distribution_lambda_11_loss: 1.2771 - distribution_lambda_12_loss: 0.3823 - val_loss: 1.7805 - val_distribution_lambda_10_loss: 0.0579 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 114/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8191 - distribution_lambda_10_loss: 0.1577 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7792 - val_distribution_lambda_10_loss: 0.0564 - val_distribution_lambda_11_loss: 1.3214 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 115/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8556 - distribution_lambda_10_loss: 0.1868 - distribution_lambda_11_loss: 1.2856 - distribution_lambda_12_loss: 0.3832 - val_loss: 1.7809 - val_distribution_lambda_10_loss: 0.0566 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 116/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8112 - distribution_lambda_10_loss: 0.1534 - distribution_lambda_11_loss: 1.2796 - distribution_lambda_12_loss: 0.3781 - val_loss: 1.7812 - val_distribution_lambda_10_loss: 0.0555 - val_distribution_lambda_11_loss: 1.3246 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 117/2000\n",
- "8/8 [==============================] - 0s 8ms/step - loss: 1.8001 - distribution_lambda_10_loss: 0.1347 - distribution_lambda_11_loss: 1.2840 - distribution_lambda_12_loss: 0.3814 - val_loss: 1.7787 - val_distribution_lambda_10_loss: 0.0546 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 118/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8071 - distribution_lambda_10_loss: 0.1392 - distribution_lambda_11_loss: 1.2728 - distribution_lambda_12_loss: 0.3951 - val_loss: 1.7730 - val_distribution_lambda_10_loss: 0.0492 - val_distribution_lambda_11_loss: 1.3226 - val_distribution_lambda_12_loss: 0.4011\n",
- "Epoch 119/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.7588 - distribution_lambda_10_loss: 0.1120 - distribution_lambda_11_loss: 1.2747 - distribution_lambda_12_loss: 0.3721 - val_loss: 1.7684 - val_distribution_lambda_10_loss: 0.0477 - val_distribution_lambda_11_loss: 1.3197 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 120/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8741 - distribution_lambda_10_loss: 0.1735 - distribution_lambda_11_loss: 1.3038 - distribution_lambda_12_loss: 0.3968 - val_loss: 1.7695 - val_distribution_lambda_10_loss: 0.0486 - val_distribution_lambda_11_loss: 1.3199 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 121/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.5053 - distribution_lambda_26_loss: 3.4508 - distribution_lambda_27_loss: 2.4788 - distribution_lambda_28_loss: 0.5757 - val_loss: 6.2593 - val_distribution_lambda_26_loss: 3.3599 - val_distribution_lambda_27_loss: 2.3249 - val_distribution_lambda_28_loss: 0.5744\n",
+ "Epoch 98/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4582 - distribution_lambda_26_loss: 3.4334 - distribution_lambda_27_loss: 2.4484 - distribution_lambda_28_loss: 0.5763 - val_loss: 6.2490 - val_distribution_lambda_26_loss: 3.3528 - val_distribution_lambda_27_loss: 2.3219 - val_distribution_lambda_28_loss: 0.5743\n",
+ "Epoch 99/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4362 - distribution_lambda_26_loss: 3.4256 - distribution_lambda_27_loss: 2.4321 - distribution_lambda_28_loss: 0.5785 - val_loss: 6.2392 - val_distribution_lambda_26_loss: 3.3458 - val_distribution_lambda_27_loss: 2.3192 - val_distribution_lambda_28_loss: 0.5741\n",
+ "Epoch 100/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3701 - distribution_lambda_26_loss: 3.4155 - distribution_lambda_27_loss: 2.3779 - distribution_lambda_28_loss: 0.5767 - val_loss: 6.2296 - val_distribution_lambda_26_loss: 3.3389 - val_distribution_lambda_27_loss: 2.3167 - val_distribution_lambda_28_loss: 0.5740\n",
+ "Epoch 101/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4250 - distribution_lambda_26_loss: 3.4243 - distribution_lambda_27_loss: 2.4247 - distribution_lambda_28_loss: 0.5760 - val_loss: 6.2199 - val_distribution_lambda_26_loss: 3.3320 - val_distribution_lambda_27_loss: 2.3141 - val_distribution_lambda_28_loss: 0.5738\n",
+ "Epoch 102/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4525 - distribution_lambda_26_loss: 3.4184 - distribution_lambda_27_loss: 2.4600 - distribution_lambda_28_loss: 0.5741 - val_loss: 6.2103 - val_distribution_lambda_26_loss: 3.3253 - val_distribution_lambda_27_loss: 2.3113 - val_distribution_lambda_28_loss: 0.5736\n",
+ "Epoch 103/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.4002 - distribution_lambda_26_loss: 3.4002 - distribution_lambda_27_loss: 2.4233 - distribution_lambda_28_loss: 0.5767 - val_loss: 6.2007 - val_distribution_lambda_26_loss: 3.3187 - val_distribution_lambda_27_loss: 2.3085 - val_distribution_lambda_28_loss: 0.5735\n",
+ "Epoch 104/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3744 - distribution_lambda_26_loss: 3.3859 - distribution_lambda_27_loss: 2.4140 - distribution_lambda_28_loss: 0.5745 - val_loss: 6.1915 - val_distribution_lambda_26_loss: 3.3124 - val_distribution_lambda_27_loss: 2.3058 - val_distribution_lambda_28_loss: 0.5734\n",
+ "Epoch 105/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3603 - distribution_lambda_26_loss: 3.3772 - distribution_lambda_27_loss: 2.4061 - distribution_lambda_28_loss: 0.5770 - val_loss: 6.1826 - val_distribution_lambda_26_loss: 3.3063 - val_distribution_lambda_27_loss: 2.3031 - val_distribution_lambda_28_loss: 0.5732\n",
+ "Epoch 106/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3977 - distribution_lambda_26_loss: 3.4049 - distribution_lambda_27_loss: 2.4182 - distribution_lambda_28_loss: 0.5746 - val_loss: 6.1735 - val_distribution_lambda_26_loss: 3.3000 - val_distribution_lambda_27_loss: 2.3005 - val_distribution_lambda_28_loss: 0.5730\n",
+ "Epoch 107/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3382 - distribution_lambda_26_loss: 3.3856 - distribution_lambda_27_loss: 2.3786 - distribution_lambda_28_loss: 0.5740 - val_loss: 6.1645 - val_distribution_lambda_26_loss: 3.2939 - val_distribution_lambda_27_loss: 2.2978 - val_distribution_lambda_28_loss: 0.5728\n",
+ "Epoch 108/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 6.3401 - distribution_lambda_26_loss: 3.3849 - distribution_lambda_27_loss: 2.3806 - distribution_lambda_28_loss: 0.5746 - val_loss: 6.1558 - val_distribution_lambda_26_loss: 3.2879 - val_distribution_lambda_27_loss: 2.2952 - val_distribution_lambda_28_loss: 0.5726\n",
+ "Epoch 109/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3294 - distribution_lambda_26_loss: 3.3572 - distribution_lambda_27_loss: 2.3981 - distribution_lambda_28_loss: 0.5741 - val_loss: 6.1471 - val_distribution_lambda_26_loss: 3.2821 - val_distribution_lambda_27_loss: 2.2926 - val_distribution_lambda_28_loss: 0.5725\n",
+ "Epoch 110/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.3046 - distribution_lambda_26_loss: 3.3532 - distribution_lambda_27_loss: 2.3763 - distribution_lambda_28_loss: 0.5751 - val_loss: 6.1385 - val_distribution_lambda_26_loss: 3.2763 - val_distribution_lambda_27_loss: 2.2900 - val_distribution_lambda_28_loss: 0.5722\n",
+ "Epoch 111/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2776 - distribution_lambda_26_loss: 3.3557 - distribution_lambda_27_loss: 2.3471 - distribution_lambda_28_loss: 0.5748 - val_loss: 6.1301 - val_distribution_lambda_26_loss: 3.2707 - val_distribution_lambda_27_loss: 2.2873 - val_distribution_lambda_28_loss: 0.5721\n",
+ "Epoch 112/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2688 - distribution_lambda_26_loss: 3.3376 - distribution_lambda_27_loss: 2.3592 - distribution_lambda_28_loss: 0.5720 - val_loss: 6.1219 - val_distribution_lambda_26_loss: 3.2653 - val_distribution_lambda_27_loss: 2.2848 - val_distribution_lambda_28_loss: 0.5719\n",
+ "Epoch 113/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2774 - distribution_lambda_26_loss: 3.3282 - distribution_lambda_27_loss: 2.3749 - distribution_lambda_28_loss: 0.5743 - val_loss: 6.1137 - val_distribution_lambda_26_loss: 3.2599 - val_distribution_lambda_27_loss: 2.2821 - val_distribution_lambda_28_loss: 0.5717\n",
+ "Epoch 114/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2866 - distribution_lambda_26_loss: 3.3389 - distribution_lambda_27_loss: 2.3759 - distribution_lambda_28_loss: 0.5718 - val_loss: 6.1055 - val_distribution_lambda_26_loss: 3.2546 - val_distribution_lambda_27_loss: 2.2794 - val_distribution_lambda_28_loss: 0.5715\n",
+ "Epoch 115/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2735 - distribution_lambda_26_loss: 3.3219 - distribution_lambda_27_loss: 2.3752 - distribution_lambda_28_loss: 0.5764 - val_loss: 6.0975 - val_distribution_lambda_26_loss: 3.2493 - val_distribution_lambda_27_loss: 2.2768 - val_distribution_lambda_28_loss: 0.5713\n",
+ "Epoch 116/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2745 - distribution_lambda_26_loss: 3.3024 - distribution_lambda_27_loss: 2.3987 - distribution_lambda_28_loss: 0.5734 - val_loss: 6.0894 - val_distribution_lambda_26_loss: 3.2443 - val_distribution_lambda_27_loss: 2.2739 - val_distribution_lambda_28_loss: 0.5712\n",
+ "Epoch 117/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2611 - distribution_lambda_26_loss: 3.3117 - distribution_lambda_27_loss: 2.3754 - distribution_lambda_28_loss: 0.5740 - val_loss: 6.0815 - val_distribution_lambda_26_loss: 3.2393 - val_distribution_lambda_27_loss: 2.2711 - val_distribution_lambda_28_loss: 0.5710\n",
+ "Epoch 118/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2662 - distribution_lambda_26_loss: 3.3111 - distribution_lambda_27_loss: 2.3817 - distribution_lambda_28_loss: 0.5734 - val_loss: 6.0734 - val_distribution_lambda_26_loss: 3.2344 - val_distribution_lambda_27_loss: 2.2681 - val_distribution_lambda_28_loss: 0.5708\n",
+ "Epoch 119/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2177 - distribution_lambda_26_loss: 3.2944 - distribution_lambda_27_loss: 2.3522 - distribution_lambda_28_loss: 0.5711 - val_loss: 6.0654 - val_distribution_lambda_26_loss: 3.2296 - val_distribution_lambda_27_loss: 2.2652 - val_distribution_lambda_28_loss: 0.5707\n",
+ "Epoch 120/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1789 - distribution_lambda_26_loss: 3.2795 - distribution_lambda_27_loss: 2.3245 - distribution_lambda_28_loss: 0.5749 - val_loss: 6.0578 - val_distribution_lambda_26_loss: 3.2249 - val_distribution_lambda_27_loss: 2.2624 - val_distribution_lambda_28_loss: 0.5705\n",
+ "Epoch 121/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7872 - distribution_lambda_10_loss: 0.1427 - distribution_lambda_11_loss: 1.2548 - distribution_lambda_12_loss: 0.3897 - val_loss: 1.7685 - val_distribution_lambda_10_loss: 0.0469 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 122/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7543 - distribution_lambda_10_loss: 0.1276 - distribution_lambda_11_loss: 1.2538 - distribution_lambda_12_loss: 0.3729 - val_loss: 1.7667 - val_distribution_lambda_10_loss: 0.0450 - val_distribution_lambda_11_loss: 1.3202 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 123/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8084 - distribution_lambda_10_loss: 0.1572 - distribution_lambda_11_loss: 1.2659 - distribution_lambda_12_loss: 0.3853 - val_loss: 1.7706 - val_distribution_lambda_10_loss: 0.0485 - val_distribution_lambda_11_loss: 1.3202 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 124/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7614 - distribution_lambda_10_loss: 0.1215 - distribution_lambda_11_loss: 1.2620 - distribution_lambda_12_loss: 0.3780 - val_loss: 1.7694 - val_distribution_lambda_10_loss: 0.0461 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 125/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8635 - distribution_lambda_10_loss: 0.1554 - distribution_lambda_11_loss: 1.3163 - distribution_lambda_12_loss: 0.3919 - val_loss: 1.7730 - val_distribution_lambda_10_loss: 0.0472 - val_distribution_lambda_11_loss: 1.3232 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 126/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8348 - distribution_lambda_10_loss: 0.1485 - distribution_lambda_11_loss: 1.2862 - distribution_lambda_12_loss: 0.4001 - val_loss: 1.7758 - val_distribution_lambda_10_loss: 0.0474 - val_distribution_lambda_11_loss: 1.3262 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 127/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8405 - distribution_lambda_10_loss: 0.1733 - distribution_lambda_11_loss: 1.2914 - distribution_lambda_12_loss: 0.3758 - val_loss: 1.7689 - val_distribution_lambda_10_loss: 0.0458 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 128/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8528 - distribution_lambda_10_loss: 0.1715 - distribution_lambda_11_loss: 1.2847 - distribution_lambda_12_loss: 0.3967 - val_loss: 1.7710 - val_distribution_lambda_10_loss: 0.0491 - val_distribution_lambda_11_loss: 1.3207 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 129/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8102 - distribution_lambda_10_loss: 0.1231 - distribution_lambda_11_loss: 1.3009 - distribution_lambda_12_loss: 0.3862 - val_loss: 1.7688 - val_distribution_lambda_10_loss: 0.0458 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 130/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8891 - distribution_lambda_10_loss: 0.2059 - distribution_lambda_11_loss: 1.3031 - distribution_lambda_12_loss: 0.3801 - val_loss: 1.7754 - val_distribution_lambda_10_loss: 0.0500 - val_distribution_lambda_11_loss: 1.3242 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 131/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8175 - distribution_lambda_10_loss: 0.1500 - distribution_lambda_11_loss: 1.2771 - distribution_lambda_12_loss: 0.3904 - val_loss: 1.7794 - val_distribution_lambda_10_loss: 0.0540 - val_distribution_lambda_11_loss: 1.3241 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 132/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8509 - distribution_lambda_10_loss: 0.1692 - distribution_lambda_11_loss: 1.2942 - distribution_lambda_12_loss: 0.3876 - val_loss: 1.7774 - val_distribution_lambda_10_loss: 0.0544 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 133/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9936 - distribution_lambda_10_loss: 0.3206 - distribution_lambda_11_loss: 1.2865 - distribution_lambda_12_loss: 0.3865 - val_loss: 1.7785 - val_distribution_lambda_10_loss: 0.0559 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 134/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7681 - distribution_lambda_10_loss: 0.1199 - distribution_lambda_11_loss: 1.2657 - distribution_lambda_12_loss: 0.3825 - val_loss: 1.7800 - val_distribution_lambda_10_loss: 0.0563 - val_distribution_lambda_11_loss: 1.3225 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 135/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7981 - distribution_lambda_10_loss: 0.1456 - distribution_lambda_11_loss: 1.2697 - distribution_lambda_12_loss: 0.3829 - val_loss: 1.7817 - val_distribution_lambda_10_loss: 0.0573 - val_distribution_lambda_11_loss: 1.3230 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 136/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8357 - distribution_lambda_10_loss: 0.1591 - distribution_lambda_11_loss: 1.2832 - distribution_lambda_12_loss: 0.3934 - val_loss: 1.7734 - val_distribution_lambda_10_loss: 0.0492 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 137/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8280 - distribution_lambda_10_loss: 0.1574 - distribution_lambda_11_loss: 1.2941 - distribution_lambda_12_loss: 0.3765 - val_loss: 1.7736 - val_distribution_lambda_10_loss: 0.0494 - val_distribution_lambda_11_loss: 1.3228 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 138/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8293 - distribution_lambda_10_loss: 0.1611 - distribution_lambda_11_loss: 1.2917 - distribution_lambda_12_loss: 0.3765 - val_loss: 1.7752 - val_distribution_lambda_10_loss: 0.0501 - val_distribution_lambda_11_loss: 1.3236 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 139/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7807 - distribution_lambda_10_loss: 0.1224 - distribution_lambda_11_loss: 1.2775 - distribution_lambda_12_loss: 0.3808 - val_loss: 1.7705 - val_distribution_lambda_10_loss: 0.0469 - val_distribution_lambda_11_loss: 1.3220 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 140/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7626 - distribution_lambda_10_loss: 0.1279 - distribution_lambda_11_loss: 1.2612 - distribution_lambda_12_loss: 0.3735 - val_loss: 1.7686 - val_distribution_lambda_10_loss: 0.0434 - val_distribution_lambda_11_loss: 1.3230 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 141/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7539 - distribution_lambda_10_loss: 0.1159 - distribution_lambda_11_loss: 1.2620 - distribution_lambda_12_loss: 0.3760 - val_loss: 1.7737 - val_distribution_lambda_10_loss: 0.0467 - val_distribution_lambda_11_loss: 1.3245 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 142/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8087 - distribution_lambda_10_loss: 0.1690 - distribution_lambda_11_loss: 1.2720 - distribution_lambda_12_loss: 0.3677 - val_loss: 1.7672 - val_distribution_lambda_10_loss: 0.0433 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.4026\n",
- "Epoch 143/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8890 - distribution_lambda_10_loss: 0.1814 - distribution_lambda_11_loss: 1.3111 - distribution_lambda_12_loss: 0.3964 - val_loss: 1.7651 - val_distribution_lambda_10_loss: 0.0406 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 144/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7434 - distribution_lambda_10_loss: 0.1065 - distribution_lambda_11_loss: 1.2570 - distribution_lambda_12_loss: 0.3799 - val_loss: 1.7688 - val_distribution_lambda_10_loss: 0.0434 - val_distribution_lambda_11_loss: 1.3235 - val_distribution_lambda_12_loss: 0.4019\n",
- "Epoch 145/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1763 - distribution_lambda_26_loss: 3.2829 - distribution_lambda_27_loss: 2.3200 - distribution_lambda_28_loss: 0.5734 - val_loss: 6.0500 - val_distribution_lambda_26_loss: 3.2203 - val_distribution_lambda_27_loss: 2.2593 - val_distribution_lambda_28_loss: 0.5703\n",
+ "Epoch 122/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.2184 - distribution_lambda_26_loss: 3.2996 - distribution_lambda_27_loss: 2.3482 - distribution_lambda_28_loss: 0.5706 - val_loss: 6.0421 - val_distribution_lambda_26_loss: 3.2157 - val_distribution_lambda_27_loss: 2.2563 - val_distribution_lambda_28_loss: 0.5702\n",
+ "Epoch 123/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.2204 - distribution_lambda_26_loss: 3.2970 - distribution_lambda_27_loss: 2.3538 - distribution_lambda_28_loss: 0.5695 - val_loss: 6.0344 - val_distribution_lambda_26_loss: 3.2111 - val_distribution_lambda_27_loss: 2.2533 - val_distribution_lambda_28_loss: 0.5700\n",
+ "Epoch 124/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1525 - distribution_lambda_26_loss: 3.2630 - distribution_lambda_27_loss: 2.3157 - distribution_lambda_28_loss: 0.5739 - val_loss: 6.0268 - val_distribution_lambda_26_loss: 3.2066 - val_distribution_lambda_27_loss: 2.2503 - val_distribution_lambda_28_loss: 0.5699\n",
+ "Epoch 125/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1438 - distribution_lambda_26_loss: 3.2643 - distribution_lambda_27_loss: 2.3068 - distribution_lambda_28_loss: 0.5728 - val_loss: 6.0193 - val_distribution_lambda_26_loss: 3.2023 - val_distribution_lambda_27_loss: 2.2473 - val_distribution_lambda_28_loss: 0.5697\n",
+ "Epoch 126/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1700 - distribution_lambda_26_loss: 3.2618 - distribution_lambda_27_loss: 2.3394 - distribution_lambda_28_loss: 0.5689 - val_loss: 6.0116 - val_distribution_lambda_26_loss: 3.1980 - val_distribution_lambda_27_loss: 2.2440 - val_distribution_lambda_28_loss: 0.5695\n",
+ "Epoch 127/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.1289 - distribution_lambda_26_loss: 3.2549 - distribution_lambda_27_loss: 2.3017 - distribution_lambda_28_loss: 0.5723 - val_loss: 6.0040 - val_distribution_lambda_26_loss: 3.1938 - val_distribution_lambda_27_loss: 2.2408 - val_distribution_lambda_28_loss: 0.5693\n",
+ "Epoch 128/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1165 - distribution_lambda_26_loss: 3.2462 - distribution_lambda_27_loss: 2.2996 - distribution_lambda_28_loss: 0.5706 - val_loss: 5.9966 - val_distribution_lambda_26_loss: 3.1897 - val_distribution_lambda_27_loss: 2.2378 - val_distribution_lambda_28_loss: 0.5691\n",
+ "Epoch 129/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1276 - distribution_lambda_26_loss: 3.2485 - distribution_lambda_27_loss: 2.3105 - distribution_lambda_28_loss: 0.5687 - val_loss: 5.9888 - val_distribution_lambda_26_loss: 3.1856 - val_distribution_lambda_27_loss: 2.2343 - val_distribution_lambda_28_loss: 0.5689\n",
+ "Epoch 130/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1094 - distribution_lambda_26_loss: 3.2358 - distribution_lambda_27_loss: 2.3020 - distribution_lambda_28_loss: 0.5716 - val_loss: 5.9815 - val_distribution_lambda_26_loss: 3.1815 - val_distribution_lambda_27_loss: 2.2312 - val_distribution_lambda_28_loss: 0.5687\n",
+ "Epoch 131/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0963 - distribution_lambda_26_loss: 3.2302 - distribution_lambda_27_loss: 2.2980 - distribution_lambda_28_loss: 0.5681 - val_loss: 5.9740 - val_distribution_lambda_26_loss: 3.1776 - val_distribution_lambda_27_loss: 2.2278 - val_distribution_lambda_28_loss: 0.5686\n",
+ "Epoch 132/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.1378 - distribution_lambda_26_loss: 3.2399 - distribution_lambda_27_loss: 2.3273 - distribution_lambda_28_loss: 0.5705 - val_loss: 5.9663 - val_distribution_lambda_26_loss: 3.1736 - val_distribution_lambda_27_loss: 2.2242 - val_distribution_lambda_28_loss: 0.5685\n",
+ "Epoch 133/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0720 - distribution_lambda_26_loss: 3.2271 - distribution_lambda_27_loss: 2.2748 - distribution_lambda_28_loss: 0.5701 - val_loss: 5.9588 - val_distribution_lambda_26_loss: 3.1697 - val_distribution_lambda_27_loss: 2.2208 - val_distribution_lambda_28_loss: 0.5683\n",
+ "Epoch 134/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0585 - distribution_lambda_26_loss: 3.2114 - distribution_lambda_27_loss: 2.2756 - distribution_lambda_28_loss: 0.5715 - val_loss: 5.9513 - val_distribution_lambda_26_loss: 3.1659 - val_distribution_lambda_27_loss: 2.2173 - val_distribution_lambda_28_loss: 0.5680\n",
+ "Epoch 135/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0802 - distribution_lambda_26_loss: 3.2205 - distribution_lambda_27_loss: 2.2904 - distribution_lambda_28_loss: 0.5693 - val_loss: 5.9435 - val_distribution_lambda_26_loss: 3.1622 - val_distribution_lambda_27_loss: 2.2135 - val_distribution_lambda_28_loss: 0.5678\n",
+ "Epoch 136/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0524 - distribution_lambda_26_loss: 3.2046 - distribution_lambda_27_loss: 2.2800 - distribution_lambda_28_loss: 0.5678 - val_loss: 5.9357 - val_distribution_lambda_26_loss: 3.1585 - val_distribution_lambda_27_loss: 2.2097 - val_distribution_lambda_28_loss: 0.5676\n",
+ "Epoch 137/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0519 - distribution_lambda_26_loss: 3.2057 - distribution_lambda_27_loss: 2.2789 - distribution_lambda_28_loss: 0.5674 - val_loss: 5.9281 - val_distribution_lambda_26_loss: 3.1548 - val_distribution_lambda_27_loss: 2.2060 - val_distribution_lambda_28_loss: 0.5673\n",
+ "Epoch 138/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 6.0541 - distribution_lambda_26_loss: 3.2116 - distribution_lambda_27_loss: 2.2741 - distribution_lambda_28_loss: 0.5683 - val_loss: 5.9210 - val_distribution_lambda_26_loss: 3.1512 - val_distribution_lambda_27_loss: 2.2027 - val_distribution_lambda_28_loss: 0.5671\n",
+ "Epoch 139/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0206 - distribution_lambda_26_loss: 3.1984 - distribution_lambda_27_loss: 2.2549 - distribution_lambda_28_loss: 0.5672 - val_loss: 5.9139 - val_distribution_lambda_26_loss: 3.1476 - val_distribution_lambda_27_loss: 2.1995 - val_distribution_lambda_28_loss: 0.5668\n",
+ "Epoch 140/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0170 - distribution_lambda_26_loss: 3.1888 - distribution_lambda_27_loss: 2.2614 - distribution_lambda_28_loss: 0.5668 - val_loss: 5.9066 - val_distribution_lambda_26_loss: 3.1441 - val_distribution_lambda_27_loss: 2.1960 - val_distribution_lambda_28_loss: 0.5666\n",
+ "Epoch 141/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.0386 - distribution_lambda_26_loss: 3.1943 - distribution_lambda_27_loss: 2.2723 - distribution_lambda_28_loss: 0.5720 - val_loss: 5.8994 - val_distribution_lambda_26_loss: 3.1406 - val_distribution_lambda_27_loss: 2.1924 - val_distribution_lambda_28_loss: 0.5664\n",
+ "Epoch 142/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0554 - distribution_lambda_26_loss: 3.1947 - distribution_lambda_27_loss: 2.2904 - distribution_lambda_28_loss: 0.5703 - val_loss: 5.8917 - val_distribution_lambda_26_loss: 3.1371 - val_distribution_lambda_27_loss: 2.1883 - val_distribution_lambda_28_loss: 0.5662\n",
+ "Epoch 143/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0379 - distribution_lambda_26_loss: 3.1952 - distribution_lambda_27_loss: 2.2752 - distribution_lambda_28_loss: 0.5676 - val_loss: 5.8843 - val_distribution_lambda_26_loss: 3.1336 - val_distribution_lambda_27_loss: 2.1846 - val_distribution_lambda_28_loss: 0.5660\n",
+ "Epoch 144/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 6.0120 - distribution_lambda_26_loss: 3.1776 - distribution_lambda_27_loss: 2.2673 - distribution_lambda_28_loss: 0.5670 - val_loss: 5.8769 - val_distribution_lambda_26_loss: 3.1302 - val_distribution_lambda_27_loss: 2.1809 - val_distribution_lambda_28_loss: 0.5657\n",
+ "Epoch 145/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9026 - distribution_lambda_10_loss: 0.1851 - distribution_lambda_11_loss: 1.3117 - distribution_lambda_12_loss: 0.4058 - val_loss: 1.7678 - val_distribution_lambda_10_loss: 0.0409 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4018\n",
- "Epoch 146/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9173 - distribution_lambda_10_loss: 0.2509 - distribution_lambda_11_loss: 1.2782 - distribution_lambda_12_loss: 0.3881 - val_loss: 1.7706 - val_distribution_lambda_10_loss: 0.0452 - val_distribution_lambda_11_loss: 1.3239 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 147/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8673 - distribution_lambda_10_loss: 0.1925 - distribution_lambda_11_loss: 1.2942 - distribution_lambda_12_loss: 0.3806 - val_loss: 1.7733 - val_distribution_lambda_10_loss: 0.0499 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 148/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9355 - distribution_lambda_10_loss: 0.2289 - distribution_lambda_11_loss: 1.3102 - distribution_lambda_12_loss: 0.3963 - val_loss: 1.7783 - val_distribution_lambda_10_loss: 0.0524 - val_distribution_lambda_11_loss: 1.3251 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 149/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8480 - distribution_lambda_10_loss: 0.1732 - distribution_lambda_11_loss: 1.2957 - distribution_lambda_12_loss: 0.3792 - val_loss: 1.7733 - val_distribution_lambda_10_loss: 0.0514 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 150/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8192 - distribution_lambda_10_loss: 0.1623 - distribution_lambda_11_loss: 1.2743 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7684 - val_distribution_lambda_10_loss: 0.0483 - val_distribution_lambda_11_loss: 1.3197 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 151/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8271 - distribution_lambda_10_loss: 0.1508 - distribution_lambda_11_loss: 1.2855 - distribution_lambda_12_loss: 0.3908 - val_loss: 1.7673 - val_distribution_lambda_10_loss: 0.0464 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 152/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9055 - distribution_lambda_10_loss: 0.2284 - distribution_lambda_11_loss: 1.2989 - distribution_lambda_12_loss: 0.3783 - val_loss: 1.7675 - val_distribution_lambda_10_loss: 0.0475 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 153/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8438 - distribution_lambda_10_loss: 0.1931 - distribution_lambda_11_loss: 1.2781 - distribution_lambda_12_loss: 0.3726 - val_loss: 1.7755 - val_distribution_lambda_10_loss: 0.0539 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4007\n",
- "Epoch 154/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9227 - distribution_lambda_10_loss: 0.2228 - distribution_lambda_11_loss: 1.3076 - distribution_lambda_12_loss: 0.3923 - val_loss: 1.7836 - val_distribution_lambda_10_loss: 0.0563 - val_distribution_lambda_11_loss: 1.3263 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 155/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8552 - distribution_lambda_10_loss: 0.1702 - distribution_lambda_11_loss: 1.2908 - distribution_lambda_12_loss: 0.3942 - val_loss: 1.7827 - val_distribution_lambda_10_loss: 0.0553 - val_distribution_lambda_11_loss: 1.3261 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 156/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9134 - distribution_lambda_10_loss: 0.2245 - distribution_lambda_11_loss: 1.2859 - distribution_lambda_12_loss: 0.4031 - val_loss: 1.7759 - val_distribution_lambda_10_loss: 0.0512 - val_distribution_lambda_11_loss: 1.3227 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 157/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7977 - distribution_lambda_10_loss: 0.1489 - distribution_lambda_11_loss: 1.2699 - distribution_lambda_12_loss: 0.3789 - val_loss: 1.7761 - val_distribution_lambda_10_loss: 0.0524 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 158/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8026 - distribution_lambda_10_loss: 0.1501 - distribution_lambda_11_loss: 1.2766 - distribution_lambda_12_loss: 0.3759 - val_loss: 1.7749 - val_distribution_lambda_10_loss: 0.0528 - val_distribution_lambda_11_loss: 1.3198 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 159/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7559 - distribution_lambda_10_loss: 0.1006 - distribution_lambda_11_loss: 1.2750 - distribution_lambda_12_loss: 0.3803 - val_loss: 1.7705 - val_distribution_lambda_10_loss: 0.0473 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 160/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8754 - distribution_lambda_10_loss: 0.2052 - distribution_lambda_11_loss: 1.2789 - distribution_lambda_12_loss: 0.3913 - val_loss: 1.7701 - val_distribution_lambda_10_loss: 0.0465 - val_distribution_lambda_11_loss: 1.3219 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 161/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8315 - distribution_lambda_10_loss: 0.1596 - distribution_lambda_11_loss: 1.2836 - distribution_lambda_12_loss: 0.3883 - val_loss: 1.7744 - val_distribution_lambda_10_loss: 0.0505 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4016\n",
- "Epoch 162/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7896 - distribution_lambda_10_loss: 0.1370 - distribution_lambda_11_loss: 1.2843 - distribution_lambda_12_loss: 0.3682 - val_loss: 1.7704 - val_distribution_lambda_10_loss: 0.0466 - val_distribution_lambda_11_loss: 1.3222 - val_distribution_lambda_12_loss: 0.4015\n",
- "Epoch 163/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7870 - distribution_lambda_10_loss: 0.1511 - distribution_lambda_11_loss: 1.2580 - distribution_lambda_12_loss: 0.3779 - val_loss: 1.7713 - val_distribution_lambda_10_loss: 0.0466 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 164/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8697 - distribution_lambda_10_loss: 0.2044 - distribution_lambda_11_loss: 1.2852 - distribution_lambda_12_loss: 0.3802 - val_loss: 1.7700 - val_distribution_lambda_10_loss: 0.0452 - val_distribution_lambda_11_loss: 1.3234 - val_distribution_lambda_12_loss: 0.4014\n",
- "Epoch 165/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9273 - distribution_lambda_10_loss: 0.2419 - distribution_lambda_11_loss: 1.3027 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7651 - val_distribution_lambda_10_loss: 0.0434 - val_distribution_lambda_11_loss: 1.3200 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 166/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8560 - distribution_lambda_10_loss: 0.2029 - distribution_lambda_11_loss: 1.2857 - distribution_lambda_12_loss: 0.3673 - val_loss: 1.7687 - val_distribution_lambda_10_loss: 0.0465 - val_distribution_lambda_11_loss: 1.3201 - val_distribution_lambda_12_loss: 0.4021\n",
- "Epoch 167/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8522 - distribution_lambda_10_loss: 0.1623 - distribution_lambda_11_loss: 1.2997 - distribution_lambda_12_loss: 0.3902 - val_loss: 1.7760 - val_distribution_lambda_10_loss: 0.0510 - val_distribution_lambda_11_loss: 1.3225 - val_distribution_lambda_12_loss: 0.4025\n",
- "Epoch 168/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8363 - distribution_lambda_10_loss: 0.1786 - distribution_lambda_11_loss: 1.2852 - distribution_lambda_12_loss: 0.3725 - val_loss: 1.7721 - val_distribution_lambda_10_loss: 0.0475 - val_distribution_lambda_11_loss: 1.3223 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 169/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9823 - distribution_lambda_26_loss: 3.1807 - distribution_lambda_27_loss: 2.2378 - distribution_lambda_28_loss: 0.5638 - val_loss: 5.8696 - val_distribution_lambda_26_loss: 3.1269 - val_distribution_lambda_27_loss: 2.1773 - val_distribution_lambda_28_loss: 0.5654\n",
+ "Epoch 146/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9690 - distribution_lambda_26_loss: 3.1695 - distribution_lambda_27_loss: 2.2318 - distribution_lambda_28_loss: 0.5677 - val_loss: 5.8626 - val_distribution_lambda_26_loss: 3.1236 - val_distribution_lambda_27_loss: 2.1739 - val_distribution_lambda_28_loss: 0.5652\n",
+ "Epoch 147/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 6.0001 - distribution_lambda_26_loss: 3.1676 - distribution_lambda_27_loss: 2.2660 - distribution_lambda_28_loss: 0.5666 - val_loss: 5.8555 - val_distribution_lambda_26_loss: 3.1203 - val_distribution_lambda_27_loss: 2.1702 - val_distribution_lambda_28_loss: 0.5649\n",
+ "Epoch 148/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9706 - distribution_lambda_26_loss: 3.1575 - distribution_lambda_27_loss: 2.2477 - distribution_lambda_28_loss: 0.5654 - val_loss: 5.8482 - val_distribution_lambda_26_loss: 3.1172 - val_distribution_lambda_27_loss: 2.1665 - val_distribution_lambda_28_loss: 0.5646\n",
+ "Epoch 149/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9570 - distribution_lambda_26_loss: 3.1698 - distribution_lambda_27_loss: 2.2199 - distribution_lambda_28_loss: 0.5674 - val_loss: 5.8414 - val_distribution_lambda_26_loss: 3.1140 - val_distribution_lambda_27_loss: 2.1631 - val_distribution_lambda_28_loss: 0.5643\n",
+ "Epoch 150/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9711 - distribution_lambda_26_loss: 3.1599 - distribution_lambda_27_loss: 2.2489 - distribution_lambda_28_loss: 0.5623 - val_loss: 5.8347 - val_distribution_lambda_26_loss: 3.1108 - val_distribution_lambda_27_loss: 2.1599 - val_distribution_lambda_28_loss: 0.5640\n",
+ "Epoch 151/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9577 - distribution_lambda_26_loss: 3.1533 - distribution_lambda_27_loss: 2.2386 - distribution_lambda_28_loss: 0.5657 - val_loss: 5.8282 - val_distribution_lambda_26_loss: 3.1076 - val_distribution_lambda_27_loss: 2.1567 - val_distribution_lambda_28_loss: 0.5639\n",
+ "Epoch 152/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9068 - distribution_lambda_26_loss: 3.1458 - distribution_lambda_27_loss: 2.1976 - distribution_lambda_28_loss: 0.5634 - val_loss: 5.8218 - val_distribution_lambda_26_loss: 3.1045 - val_distribution_lambda_27_loss: 2.1536 - val_distribution_lambda_28_loss: 0.5637\n",
+ "Epoch 153/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9105 - distribution_lambda_26_loss: 3.1397 - distribution_lambda_27_loss: 2.2066 - distribution_lambda_28_loss: 0.5641 - val_loss: 5.8154 - val_distribution_lambda_26_loss: 3.1015 - val_distribution_lambda_27_loss: 2.1505 - val_distribution_lambda_28_loss: 0.5634\n",
+ "Epoch 154/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9347 - distribution_lambda_26_loss: 3.1517 - distribution_lambda_27_loss: 2.2166 - distribution_lambda_28_loss: 0.5664 - val_loss: 5.8092 - val_distribution_lambda_26_loss: 3.0984 - val_distribution_lambda_27_loss: 2.1476 - val_distribution_lambda_28_loss: 0.5632\n",
+ "Epoch 155/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9025 - distribution_lambda_26_loss: 3.1408 - distribution_lambda_27_loss: 2.1963 - distribution_lambda_28_loss: 0.5654 - val_loss: 5.8032 - val_distribution_lambda_26_loss: 3.0954 - val_distribution_lambda_27_loss: 2.1448 - val_distribution_lambda_28_loss: 0.5630\n",
+ "Epoch 156/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9016 - distribution_lambda_26_loss: 3.1358 - distribution_lambda_27_loss: 2.1995 - distribution_lambda_28_loss: 0.5663 - val_loss: 5.7970 - val_distribution_lambda_26_loss: 3.0924 - val_distribution_lambda_27_loss: 2.1419 - val_distribution_lambda_28_loss: 0.5627\n",
+ "Epoch 157/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8962 - distribution_lambda_26_loss: 3.1378 - distribution_lambda_27_loss: 2.1971 - distribution_lambda_28_loss: 0.5613 - val_loss: 5.7911 - val_distribution_lambda_26_loss: 3.0895 - val_distribution_lambda_27_loss: 2.1392 - val_distribution_lambda_28_loss: 0.5624\n",
+ "Epoch 158/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9291 - distribution_lambda_26_loss: 3.1431 - distribution_lambda_27_loss: 2.2264 - distribution_lambda_28_loss: 0.5596 - val_loss: 5.7852 - val_distribution_lambda_26_loss: 3.0865 - val_distribution_lambda_27_loss: 2.1365 - val_distribution_lambda_28_loss: 0.5621\n",
+ "Epoch 159/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.9008 - distribution_lambda_26_loss: 3.1228 - distribution_lambda_27_loss: 2.2164 - distribution_lambda_28_loss: 0.5617 - val_loss: 5.7794 - val_distribution_lambda_26_loss: 3.0836 - val_distribution_lambda_27_loss: 2.1338 - val_distribution_lambda_28_loss: 0.5619\n",
+ "Epoch 160/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8811 - distribution_lambda_26_loss: 3.1247 - distribution_lambda_27_loss: 2.1900 - distribution_lambda_28_loss: 0.5665 - val_loss: 5.7737 - val_distribution_lambda_26_loss: 3.0807 - val_distribution_lambda_27_loss: 2.1312 - val_distribution_lambda_28_loss: 0.5618\n",
+ "Epoch 161/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8612 - distribution_lambda_26_loss: 3.1140 - distribution_lambda_27_loss: 2.1856 - distribution_lambda_28_loss: 0.5616 - val_loss: 5.7682 - val_distribution_lambda_26_loss: 3.0779 - val_distribution_lambda_27_loss: 2.1287 - val_distribution_lambda_28_loss: 0.5616\n",
+ "Epoch 162/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8490 - distribution_lambda_26_loss: 3.1143 - distribution_lambda_27_loss: 2.1726 - distribution_lambda_28_loss: 0.5622 - val_loss: 5.7626 - val_distribution_lambda_26_loss: 3.0751 - val_distribution_lambda_27_loss: 2.1260 - val_distribution_lambda_28_loss: 0.5614\n",
+ "Epoch 163/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8400 - distribution_lambda_26_loss: 3.1080 - distribution_lambda_27_loss: 2.1710 - distribution_lambda_28_loss: 0.5611 - val_loss: 5.7572 - val_distribution_lambda_26_loss: 3.0724 - val_distribution_lambda_27_loss: 2.1235 - val_distribution_lambda_28_loss: 0.5613\n",
+ "Epoch 164/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8673 - distribution_lambda_26_loss: 3.1100 - distribution_lambda_27_loss: 2.1942 - distribution_lambda_28_loss: 0.5632 - val_loss: 5.7517 - val_distribution_lambda_26_loss: 3.0696 - val_distribution_lambda_27_loss: 2.1210 - val_distribution_lambda_28_loss: 0.5611\n",
+ "Epoch 165/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8581 - distribution_lambda_26_loss: 3.1068 - distribution_lambda_27_loss: 2.1911 - distribution_lambda_28_loss: 0.5602 - val_loss: 5.7464 - val_distribution_lambda_26_loss: 3.0669 - val_distribution_lambda_27_loss: 2.1185 - val_distribution_lambda_28_loss: 0.5609\n",
+ "Epoch 166/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8260 - distribution_lambda_26_loss: 3.1027 - distribution_lambda_27_loss: 2.1638 - distribution_lambda_28_loss: 0.5595 - val_loss: 5.7413 - val_distribution_lambda_26_loss: 3.0642 - val_distribution_lambda_27_loss: 2.1164 - val_distribution_lambda_28_loss: 0.5607\n",
+ "Epoch 167/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8411 - distribution_lambda_26_loss: 3.1043 - distribution_lambda_27_loss: 2.1745 - distribution_lambda_28_loss: 0.5623 - val_loss: 5.7363 - val_distribution_lambda_26_loss: 3.0615 - val_distribution_lambda_27_loss: 2.1142 - val_distribution_lambda_28_loss: 0.5606\n",
+ "Epoch 168/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8305 - distribution_lambda_26_loss: 3.0973 - distribution_lambda_27_loss: 2.1731 - distribution_lambda_28_loss: 0.5601 - val_loss: 5.7311 - val_distribution_lambda_26_loss: 3.0588 - val_distribution_lambda_27_loss: 2.1119 - val_distribution_lambda_28_loss: 0.5605\n",
+ "Epoch 169/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8309 - distribution_lambda_10_loss: 0.1611 - distribution_lambda_11_loss: 1.2882 - distribution_lambda_12_loss: 0.3816 - val_loss: 1.7684 - val_distribution_lambda_10_loss: 0.0446 - val_distribution_lambda_11_loss: 1.3214 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 170/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7526 - distribution_lambda_10_loss: 0.1149 - distribution_lambda_11_loss: 1.2734 - distribution_lambda_12_loss: 0.3643 - val_loss: 1.7679 - val_distribution_lambda_10_loss: 0.0454 - val_distribution_lambda_11_loss: 1.3202 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 171/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8285 - distribution_lambda_10_loss: 0.1464 - distribution_lambda_11_loss: 1.2838 - distribution_lambda_12_loss: 0.3983 - val_loss: 1.7631 - val_distribution_lambda_10_loss: 0.0370 - val_distribution_lambda_11_loss: 1.3241 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 172/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8933 - distribution_lambda_10_loss: 0.2335 - distribution_lambda_11_loss: 1.2771 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7615 - val_distribution_lambda_10_loss: 0.0383 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 173/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8335 - distribution_lambda_10_loss: 0.1770 - distribution_lambda_11_loss: 1.2766 - distribution_lambda_12_loss: 0.3799 - val_loss: 1.7623 - val_distribution_lambda_10_loss: 0.0408 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4022\n",
- "Epoch 174/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7923 - distribution_lambda_10_loss: 0.1386 - distribution_lambda_11_loss: 1.2627 - distribution_lambda_12_loss: 0.3911 - val_loss: 1.7627 - val_distribution_lambda_10_loss: 0.0397 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4024\n",
- "Epoch 175/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8236 - distribution_lambda_10_loss: 0.1576 - distribution_lambda_11_loss: 1.2917 - distribution_lambda_12_loss: 0.3743 - val_loss: 1.7628 - val_distribution_lambda_10_loss: 0.0394 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4023\n",
- "Epoch 176/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8275 - distribution_lambda_10_loss: 0.1477 - distribution_lambda_11_loss: 1.2903 - distribution_lambda_12_loss: 0.3895 - val_loss: 1.7598 - val_distribution_lambda_10_loss: 0.0368 - val_distribution_lambda_11_loss: 1.3210 - val_distribution_lambda_12_loss: 0.4020\n",
- "Epoch 177/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9031 - distribution_lambda_10_loss: 0.2526 - distribution_lambda_11_loss: 1.2780 - distribution_lambda_12_loss: 0.3726 - val_loss: 1.7610 - val_distribution_lambda_10_loss: 0.0415 - val_distribution_lambda_11_loss: 1.3178 - val_distribution_lambda_12_loss: 0.4017\n",
- "Epoch 178/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9178 - distribution_lambda_10_loss: 0.2035 - distribution_lambda_11_loss: 1.3253 - distribution_lambda_12_loss: 0.3890 - val_loss: 1.7632 - val_distribution_lambda_10_loss: 0.0444 - val_distribution_lambda_11_loss: 1.3175 - val_distribution_lambda_12_loss: 0.4013\n",
- "Epoch 179/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7727 - distribution_lambda_10_loss: 0.1092 - distribution_lambda_11_loss: 1.2748 - distribution_lambda_12_loss: 0.3887 - val_loss: 1.7688 - val_distribution_lambda_10_loss: 0.0466 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.4012\n",
- "Epoch 180/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8322 - distribution_lambda_10_loss: 0.1608 - distribution_lambda_11_loss: 1.2901 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7641 - val_distribution_lambda_10_loss: 0.0438 - val_distribution_lambda_11_loss: 1.3194 - val_distribution_lambda_12_loss: 0.4009\n",
- "Epoch 181/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8818 - distribution_lambda_10_loss: 0.2089 - distribution_lambda_11_loss: 1.2935 - distribution_lambda_12_loss: 0.3794 - val_loss: 1.7592 - val_distribution_lambda_10_loss: 0.0414 - val_distribution_lambda_11_loss: 1.3171 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 182/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8186 - distribution_lambda_10_loss: 0.1707 - distribution_lambda_11_loss: 1.2671 - distribution_lambda_12_loss: 0.3808 - val_loss: 1.7611 - val_distribution_lambda_10_loss: 0.0447 - val_distribution_lambda_11_loss: 1.3160 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 183/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8785 - distribution_lambda_10_loss: 0.2157 - distribution_lambda_11_loss: 1.2802 - distribution_lambda_12_loss: 0.3826 - val_loss: 1.7664 - val_distribution_lambda_10_loss: 0.0476 - val_distribution_lambda_11_loss: 1.3186 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 184/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8016 - distribution_lambda_10_loss: 0.1661 - distribution_lambda_11_loss: 1.2565 - distribution_lambda_12_loss: 0.3790 - val_loss: 1.7643 - val_distribution_lambda_10_loss: 0.0440 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 185/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8386 - distribution_lambda_10_loss: 0.1777 - distribution_lambda_11_loss: 1.2940 - distribution_lambda_12_loss: 0.3669 - val_loss: 1.7670 - val_distribution_lambda_10_loss: 0.0460 - val_distribution_lambda_11_loss: 1.3216 - val_distribution_lambda_12_loss: 0.3994\n",
- "Epoch 186/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8156 - distribution_lambda_10_loss: 0.1682 - distribution_lambda_11_loss: 1.2658 - distribution_lambda_12_loss: 0.3816 - val_loss: 1.7661 - val_distribution_lambda_10_loss: 0.0470 - val_distribution_lambda_11_loss: 1.3201 - val_distribution_lambda_12_loss: 0.3991\n",
- "Epoch 187/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9016 - distribution_lambda_10_loss: 0.2035 - distribution_lambda_11_loss: 1.3034 - distribution_lambda_12_loss: 0.3947 - val_loss: 1.7725 - val_distribution_lambda_10_loss: 0.0529 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3990\n",
- "Epoch 188/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7649 - distribution_lambda_10_loss: 0.1031 - distribution_lambda_11_loss: 1.2766 - distribution_lambda_12_loss: 0.3851 - val_loss: 1.7658 - val_distribution_lambda_10_loss: 0.0486 - val_distribution_lambda_11_loss: 1.3177 - val_distribution_lambda_12_loss: 0.3996\n",
- "Epoch 189/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8123 - distribution_lambda_10_loss: 0.1207 - distribution_lambda_11_loss: 1.3013 - distribution_lambda_12_loss: 0.3903 - val_loss: 1.7623 - val_distribution_lambda_10_loss: 0.0438 - val_distribution_lambda_11_loss: 1.3187 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 190/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8499 - distribution_lambda_10_loss: 0.2054 - distribution_lambda_11_loss: 1.2738 - distribution_lambda_12_loss: 0.3706 - val_loss: 1.7671 - val_distribution_lambda_10_loss: 0.0467 - val_distribution_lambda_11_loss: 1.3207 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 191/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7978 - distribution_lambda_10_loss: 0.1476 - distribution_lambda_11_loss: 1.2689 - distribution_lambda_12_loss: 0.3813 - val_loss: 1.7636 - val_distribution_lambda_10_loss: 0.0447 - val_distribution_lambda_11_loss: 1.3190 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 192/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8474 - distribution_lambda_10_loss: 0.1610 - distribution_lambda_11_loss: 1.3074 - distribution_lambda_12_loss: 0.3790 - val_loss: 1.7627 - val_distribution_lambda_10_loss: 0.0446 - val_distribution_lambda_11_loss: 1.3179 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 193/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8549 - distribution_lambda_26_loss: 3.1014 - distribution_lambda_27_loss: 2.1939 - distribution_lambda_28_loss: 0.5597 - val_loss: 5.7260 - val_distribution_lambda_26_loss: 3.0561 - val_distribution_lambda_27_loss: 2.1096 - val_distribution_lambda_28_loss: 0.5603\n",
+ "Epoch 170/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8284 - distribution_lambda_26_loss: 3.0923 - distribution_lambda_27_loss: 2.1738 - distribution_lambda_28_loss: 0.5623 - val_loss: 5.7211 - val_distribution_lambda_26_loss: 3.0535 - val_distribution_lambda_27_loss: 2.1075 - val_distribution_lambda_28_loss: 0.5602\n",
+ "Epoch 171/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.8032 - distribution_lambda_26_loss: 3.0871 - distribution_lambda_27_loss: 2.1566 - distribution_lambda_28_loss: 0.5595 - val_loss: 5.7165 - val_distribution_lambda_26_loss: 3.0509 - val_distribution_lambda_27_loss: 2.1056 - val_distribution_lambda_28_loss: 0.5601\n",
+ "Epoch 172/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8121 - distribution_lambda_26_loss: 3.0853 - distribution_lambda_27_loss: 2.1654 - distribution_lambda_28_loss: 0.5614 - val_loss: 5.7119 - val_distribution_lambda_26_loss: 3.0483 - val_distribution_lambda_27_loss: 2.1037 - val_distribution_lambda_28_loss: 0.5599\n",
+ "Epoch 173/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.8025 - distribution_lambda_26_loss: 3.0866 - distribution_lambda_27_loss: 2.1538 - distribution_lambda_28_loss: 0.5620 - val_loss: 5.7073 - val_distribution_lambda_26_loss: 3.0457 - val_distribution_lambda_27_loss: 2.1017 - val_distribution_lambda_28_loss: 0.5599\n",
+ "Epoch 174/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7760 - distribution_lambda_26_loss: 3.0770 - distribution_lambda_27_loss: 2.1429 - distribution_lambda_28_loss: 0.5561 - val_loss: 5.7028 - val_distribution_lambda_26_loss: 3.0431 - val_distribution_lambda_27_loss: 2.0999 - val_distribution_lambda_28_loss: 0.5597\n",
+ "Epoch 175/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7941 - distribution_lambda_26_loss: 3.0769 - distribution_lambda_27_loss: 2.1585 - distribution_lambda_28_loss: 0.5587 - val_loss: 5.6981 - val_distribution_lambda_26_loss: 3.0406 - val_distribution_lambda_27_loss: 2.0980 - val_distribution_lambda_28_loss: 0.5596\n",
+ "Epoch 176/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7763 - distribution_lambda_26_loss: 3.0692 - distribution_lambda_27_loss: 2.1490 - distribution_lambda_28_loss: 0.5580 - val_loss: 5.6934 - val_distribution_lambda_26_loss: 3.0381 - val_distribution_lambda_27_loss: 2.0959 - val_distribution_lambda_28_loss: 0.5594\n",
+ "Epoch 177/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7925 - distribution_lambda_26_loss: 3.0757 - distribution_lambda_27_loss: 2.1572 - distribution_lambda_28_loss: 0.5595 - val_loss: 5.6889 - val_distribution_lambda_26_loss: 3.0356 - val_distribution_lambda_27_loss: 2.0940 - val_distribution_lambda_28_loss: 0.5593\n",
+ "Epoch 178/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.7822 - distribution_lambda_26_loss: 3.0739 - distribution_lambda_27_loss: 2.1511 - distribution_lambda_28_loss: 0.5572 - val_loss: 5.6845 - val_distribution_lambda_26_loss: 3.0331 - val_distribution_lambda_27_loss: 2.0921 - val_distribution_lambda_28_loss: 0.5592\n",
+ "Epoch 179/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.7518 - distribution_lambda_26_loss: 3.0646 - distribution_lambda_27_loss: 2.1256 - distribution_lambda_28_loss: 0.5616 - val_loss: 5.6802 - val_distribution_lambda_26_loss: 3.0307 - val_distribution_lambda_27_loss: 2.0904 - val_distribution_lambda_28_loss: 0.5591\n",
+ "Epoch 180/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7672 - distribution_lambda_26_loss: 3.0642 - distribution_lambda_27_loss: 2.1415 - distribution_lambda_28_loss: 0.5614 - val_loss: 5.6759 - val_distribution_lambda_26_loss: 3.0282 - val_distribution_lambda_27_loss: 2.0887 - val_distribution_lambda_28_loss: 0.5590\n",
+ "Epoch 181/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7460 - distribution_lambda_26_loss: 3.0576 - distribution_lambda_27_loss: 2.1299 - distribution_lambda_28_loss: 0.5585 - val_loss: 5.6716 - val_distribution_lambda_26_loss: 3.0258 - val_distribution_lambda_27_loss: 2.0871 - val_distribution_lambda_28_loss: 0.5587\n",
+ "Epoch 182/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7566 - distribution_lambda_26_loss: 3.0564 - distribution_lambda_27_loss: 2.1386 - distribution_lambda_28_loss: 0.5617 - val_loss: 5.6673 - val_distribution_lambda_26_loss: 3.0234 - val_distribution_lambda_27_loss: 2.0853 - val_distribution_lambda_28_loss: 0.5586\n",
+ "Epoch 183/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7569 - distribution_lambda_26_loss: 3.0610 - distribution_lambda_27_loss: 2.1411 - distribution_lambda_28_loss: 0.5547 - val_loss: 5.6631 - val_distribution_lambda_26_loss: 3.0210 - val_distribution_lambda_27_loss: 2.0838 - val_distribution_lambda_28_loss: 0.5584\n",
+ "Epoch 184/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7131 - distribution_lambda_26_loss: 3.0527 - distribution_lambda_27_loss: 2.1042 - distribution_lambda_28_loss: 0.5561 - val_loss: 5.6590 - val_distribution_lambda_26_loss: 3.0186 - val_distribution_lambda_27_loss: 2.0821 - val_distribution_lambda_28_loss: 0.5583\n",
+ "Epoch 185/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7210 - distribution_lambda_26_loss: 3.0469 - distribution_lambda_27_loss: 2.1167 - distribution_lambda_28_loss: 0.5574 - val_loss: 5.6551 - val_distribution_lambda_26_loss: 3.0162 - val_distribution_lambda_27_loss: 2.0807 - val_distribution_lambda_28_loss: 0.5582\n",
+ "Epoch 186/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7416 - distribution_lambda_26_loss: 3.0454 - distribution_lambda_27_loss: 2.1356 - distribution_lambda_28_loss: 0.5606 - val_loss: 5.6511 - val_distribution_lambda_26_loss: 3.0138 - val_distribution_lambda_27_loss: 2.0791 - val_distribution_lambda_28_loss: 0.5582\n",
+ "Epoch 187/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7254 - distribution_lambda_26_loss: 3.0443 - distribution_lambda_27_loss: 2.1227 - distribution_lambda_28_loss: 0.5585 - val_loss: 5.6472 - val_distribution_lambda_26_loss: 3.0115 - val_distribution_lambda_27_loss: 2.0776 - val_distribution_lambda_28_loss: 0.5581\n",
+ "Epoch 188/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7077 - distribution_lambda_26_loss: 3.0387 - distribution_lambda_27_loss: 2.1106 - distribution_lambda_28_loss: 0.5584 - val_loss: 5.6432 - val_distribution_lambda_26_loss: 3.0092 - val_distribution_lambda_27_loss: 2.0760 - val_distribution_lambda_28_loss: 0.5580\n",
+ "Epoch 189/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7043 - distribution_lambda_26_loss: 3.0371 - distribution_lambda_27_loss: 2.1116 - distribution_lambda_28_loss: 0.5557 - val_loss: 5.6393 - val_distribution_lambda_26_loss: 3.0069 - val_distribution_lambda_27_loss: 2.0746 - val_distribution_lambda_28_loss: 0.5579\n",
+ "Epoch 190/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7072 - distribution_lambda_26_loss: 3.0410 - distribution_lambda_27_loss: 2.1077 - distribution_lambda_28_loss: 0.5584 - val_loss: 5.6354 - val_distribution_lambda_26_loss: 3.0045 - val_distribution_lambda_27_loss: 2.0731 - val_distribution_lambda_28_loss: 0.5578\n",
+ "Epoch 191/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.7156 - distribution_lambda_26_loss: 3.0419 - distribution_lambda_27_loss: 2.1157 - distribution_lambda_28_loss: 0.5580 - val_loss: 5.6314 - val_distribution_lambda_26_loss: 3.0022 - val_distribution_lambda_27_loss: 2.0715 - val_distribution_lambda_28_loss: 0.5577\n",
+ "Epoch 192/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7023 - distribution_lambda_26_loss: 3.0287 - distribution_lambda_27_loss: 2.1138 - distribution_lambda_28_loss: 0.5597 - val_loss: 5.6275 - val_distribution_lambda_26_loss: 2.9999 - val_distribution_lambda_27_loss: 2.0700 - val_distribution_lambda_28_loss: 0.5576\n",
+ "Epoch 193/2500\n"
]
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- "8/8 [==============================] - 0s 6ms/step - loss: 1.8502 - distribution_lambda_10_loss: 0.1643 - distribution_lambda_11_loss: 1.2941 - distribution_lambda_12_loss: 0.3918 - val_loss: 1.7657 - val_distribution_lambda_10_loss: 0.0465 - val_distribution_lambda_11_loss: 1.3188 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 194/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8443 - distribution_lambda_10_loss: 0.1732 - distribution_lambda_11_loss: 1.2928 - distribution_lambda_12_loss: 0.3783 - val_loss: 1.7686 - val_distribution_lambda_10_loss: 0.0482 - val_distribution_lambda_11_loss: 1.3201 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 195/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8978 - distribution_lambda_10_loss: 0.2247 - distribution_lambda_11_loss: 1.2773 - distribution_lambda_12_loss: 0.3958 - val_loss: 1.7663 - val_distribution_lambda_10_loss: 0.0493 - val_distribution_lambda_11_loss: 1.3167 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 196/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8302 - distribution_lambda_10_loss: 0.1590 - distribution_lambda_11_loss: 1.2875 - distribution_lambda_12_loss: 0.3837 - val_loss: 1.7638 - val_distribution_lambda_10_loss: 0.0471 - val_distribution_lambda_11_loss: 1.3160 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 197/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8210 - distribution_lambda_10_loss: 0.1595 - distribution_lambda_11_loss: 1.2724 - distribution_lambda_12_loss: 0.3891 - val_loss: 1.7661 - val_distribution_lambda_10_loss: 0.0495 - val_distribution_lambda_11_loss: 1.3163 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 198/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7971 - distribution_lambda_10_loss: 0.1347 - distribution_lambda_11_loss: 1.2746 - distribution_lambda_12_loss: 0.3878 - val_loss: 1.7585 - val_distribution_lambda_10_loss: 0.0412 - val_distribution_lambda_11_loss: 1.3171 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 199/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8014 - distribution_lambda_10_loss: 0.1359 - distribution_lambda_11_loss: 1.2827 - distribution_lambda_12_loss: 0.3828 - val_loss: 1.7589 - val_distribution_lambda_10_loss: 0.0414 - val_distribution_lambda_11_loss: 1.3174 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 200/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8742 - distribution_lambda_10_loss: 0.2019 - distribution_lambda_11_loss: 1.2867 - distribution_lambda_12_loss: 0.3856 - val_loss: 1.7556 - val_distribution_lambda_10_loss: 0.0384 - val_distribution_lambda_11_loss: 1.3172 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 201/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8135 - distribution_lambda_10_loss: 0.1556 - distribution_lambda_11_loss: 1.2759 - distribution_lambda_12_loss: 0.3820 - val_loss: 1.7521 - val_distribution_lambda_10_loss: 0.0360 - val_distribution_lambda_11_loss: 1.3159 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 202/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7854 - distribution_lambda_10_loss: 0.1276 - distribution_lambda_11_loss: 1.2689 - distribution_lambda_12_loss: 0.3888 - val_loss: 1.7539 - val_distribution_lambda_10_loss: 0.0371 - val_distribution_lambda_11_loss: 1.3169 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 203/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8124 - distribution_lambda_10_loss: 0.1408 - distribution_lambda_11_loss: 1.2968 - distribution_lambda_12_loss: 0.3748 - val_loss: 1.7560 - val_distribution_lambda_10_loss: 0.0386 - val_distribution_lambda_11_loss: 1.3175 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 204/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7959 - distribution_lambda_10_loss: 0.1473 - distribution_lambda_11_loss: 1.2778 - distribution_lambda_12_loss: 0.3709 - val_loss: 1.7515 - val_distribution_lambda_10_loss: 0.0337 - val_distribution_lambda_11_loss: 1.3179 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 205/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8765 - distribution_lambda_10_loss: 0.2201 - distribution_lambda_11_loss: 1.2853 - distribution_lambda_12_loss: 0.3711 - val_loss: 1.7521 - val_distribution_lambda_10_loss: 0.0368 - val_distribution_lambda_11_loss: 1.3154 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 206/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7689 - distribution_lambda_10_loss: 0.1306 - distribution_lambda_11_loss: 1.2643 - distribution_lambda_12_loss: 0.3740 - val_loss: 1.7519 - val_distribution_lambda_10_loss: 0.0362 - val_distribution_lambda_11_loss: 1.3157 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 207/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7828 - distribution_lambda_10_loss: 0.1181 - distribution_lambda_11_loss: 1.2868 - distribution_lambda_12_loss: 0.3780 - val_loss: 1.7544 - val_distribution_lambda_10_loss: 0.0361 - val_distribution_lambda_11_loss: 1.3183 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 208/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7929 - distribution_lambda_10_loss: 0.1385 - distribution_lambda_11_loss: 1.2827 - distribution_lambda_12_loss: 0.3718 - val_loss: 1.7508 - val_distribution_lambda_10_loss: 0.0302 - val_distribution_lambda_11_loss: 1.3204 - val_distribution_lambda_12_loss: 0.4002\n",
- "Epoch 209/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7168 - distribution_lambda_10_loss: 0.0878 - distribution_lambda_11_loss: 1.2501 - distribution_lambda_12_loss: 0.3789 - val_loss: 1.7461 - val_distribution_lambda_10_loss: 0.0282 - val_distribution_lambda_11_loss: 1.3179 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 210/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7658 - distribution_lambda_10_loss: 0.1209 - distribution_lambda_11_loss: 1.2553 - distribution_lambda_12_loss: 0.3896 - val_loss: 1.7457 - val_distribution_lambda_10_loss: 0.0292 - val_distribution_lambda_11_loss: 1.3168 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 211/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8452 - distribution_lambda_10_loss: 0.1716 - distribution_lambda_11_loss: 1.2934 - distribution_lambda_12_loss: 0.3802 - val_loss: 1.7505 - val_distribution_lambda_10_loss: 0.0311 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 212/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.7646 - distribution_lambda_10_loss: 0.1031 - distribution_lambda_11_loss: 1.2853 - distribution_lambda_12_loss: 0.3762 - val_loss: 1.7465 - val_distribution_lambda_10_loss: 0.0275 - val_distribution_lambda_11_loss: 1.3191 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 213/2000\n",
- "8/8 [==============================] - 0s 8ms/step - loss: 1.8722 - distribution_lambda_10_loss: 0.2165 - distribution_lambda_11_loss: 1.2790 - distribution_lambda_12_loss: 0.3767 - val_loss: 1.7436 - val_distribution_lambda_10_loss: 0.0278 - val_distribution_lambda_11_loss: 1.3157 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 214/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.7938 - distribution_lambda_10_loss: 0.1310 - distribution_lambda_11_loss: 1.2754 - distribution_lambda_12_loss: 0.3874 - val_loss: 1.7487 - val_distribution_lambda_10_loss: 0.0328 - val_distribution_lambda_11_loss: 1.3156 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 215/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8480 - distribution_lambda_10_loss: 0.1845 - distribution_lambda_11_loss: 1.2831 - distribution_lambda_12_loss: 0.3804 - val_loss: 1.7501 - val_distribution_lambda_10_loss: 0.0330 - val_distribution_lambda_11_loss: 1.3167 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 216/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7173 - distribution_lambda_10_loss: 0.1088 - distribution_lambda_11_loss: 1.2340 - distribution_lambda_12_loss: 0.3746 - val_loss: 1.7519 - val_distribution_lambda_10_loss: 0.0327 - val_distribution_lambda_11_loss: 1.3188 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 217/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.7163 - distribution_lambda_26_loss: 3.0303 - distribution_lambda_27_loss: 2.1293 - distribution_lambda_28_loss: 0.5567 - val_loss: 5.6235 - val_distribution_lambda_26_loss: 2.9976 - val_distribution_lambda_27_loss: 2.0684 - val_distribution_lambda_28_loss: 0.5575\n",
+ "Epoch 194/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6814 - distribution_lambda_26_loss: 3.0234 - distribution_lambda_27_loss: 2.1016 - distribution_lambda_28_loss: 0.5565 - val_loss: 5.6198 - val_distribution_lambda_26_loss: 2.9953 - val_distribution_lambda_27_loss: 2.0671 - val_distribution_lambda_28_loss: 0.5574\n",
+ "Epoch 195/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6617 - distribution_lambda_26_loss: 3.0216 - distribution_lambda_27_loss: 2.0872 - distribution_lambda_28_loss: 0.5530 - val_loss: 5.6161 - val_distribution_lambda_26_loss: 2.9931 - val_distribution_lambda_27_loss: 2.0658 - val_distribution_lambda_28_loss: 0.5572\n",
+ "Epoch 196/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6780 - distribution_lambda_26_loss: 3.0206 - distribution_lambda_27_loss: 2.0986 - distribution_lambda_28_loss: 0.5588 - val_loss: 5.6123 - val_distribution_lambda_26_loss: 2.9908 - val_distribution_lambda_27_loss: 2.0644 - val_distribution_lambda_28_loss: 0.5572\n",
+ "Epoch 197/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6912 - distribution_lambda_26_loss: 3.0260 - distribution_lambda_27_loss: 2.1096 - distribution_lambda_28_loss: 0.5556 - val_loss: 5.6084 - val_distribution_lambda_26_loss: 2.9885 - val_distribution_lambda_27_loss: 2.0628 - val_distribution_lambda_28_loss: 0.5570\n",
+ "Epoch 198/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6718 - distribution_lambda_26_loss: 3.0166 - distribution_lambda_27_loss: 2.1010 - distribution_lambda_28_loss: 0.5541 - val_loss: 5.6046 - val_distribution_lambda_26_loss: 2.9863 - val_distribution_lambda_27_loss: 2.0614 - val_distribution_lambda_28_loss: 0.5569\n",
+ "Epoch 199/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6668 - distribution_lambda_26_loss: 3.0131 - distribution_lambda_27_loss: 2.0956 - distribution_lambda_28_loss: 0.5581 - val_loss: 5.6008 - val_distribution_lambda_26_loss: 2.9841 - val_distribution_lambda_27_loss: 2.0599 - val_distribution_lambda_28_loss: 0.5568\n",
+ "Epoch 200/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6588 - distribution_lambda_26_loss: 3.0117 - distribution_lambda_27_loss: 2.0898 - distribution_lambda_28_loss: 0.5573 - val_loss: 5.5971 - val_distribution_lambda_26_loss: 2.9818 - val_distribution_lambda_27_loss: 2.0586 - val_distribution_lambda_28_loss: 0.5568\n",
+ "Epoch 201/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.6729 - distribution_lambda_26_loss: 3.0113 - distribution_lambda_27_loss: 2.1067 - distribution_lambda_28_loss: 0.5549 - val_loss: 5.5934 - val_distribution_lambda_26_loss: 2.9796 - val_distribution_lambda_27_loss: 2.0571 - val_distribution_lambda_28_loss: 0.5567\n",
+ "Epoch 202/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.6901 - distribution_lambda_26_loss: 3.0077 - distribution_lambda_27_loss: 2.1280 - distribution_lambda_28_loss: 0.5544 - val_loss: 5.5896 - val_distribution_lambda_26_loss: 2.9774 - val_distribution_lambda_27_loss: 2.0556 - val_distribution_lambda_28_loss: 0.5566\n",
+ "Epoch 203/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6398 - distribution_lambda_26_loss: 3.0039 - distribution_lambda_27_loss: 2.0808 - distribution_lambda_28_loss: 0.5550 - val_loss: 5.5860 - val_distribution_lambda_26_loss: 2.9752 - val_distribution_lambda_27_loss: 2.0543 - val_distribution_lambda_28_loss: 0.5565\n",
+ "Epoch 204/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6561 - distribution_lambda_26_loss: 3.0048 - distribution_lambda_27_loss: 2.0957 - distribution_lambda_28_loss: 0.5556 - val_loss: 5.5823 - val_distribution_lambda_26_loss: 2.9730 - val_distribution_lambda_27_loss: 2.0529 - val_distribution_lambda_28_loss: 0.5564\n",
+ "Epoch 205/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6183 - distribution_lambda_26_loss: 2.9929 - distribution_lambda_27_loss: 2.0698 - distribution_lambda_28_loss: 0.5557 - val_loss: 5.5787 - val_distribution_lambda_26_loss: 2.9708 - val_distribution_lambda_27_loss: 2.0516 - val_distribution_lambda_28_loss: 0.5563\n",
+ "Epoch 206/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6400 - distribution_lambda_26_loss: 3.0027 - distribution_lambda_27_loss: 2.0827 - distribution_lambda_28_loss: 0.5546 - val_loss: 5.5751 - val_distribution_lambda_26_loss: 2.9686 - val_distribution_lambda_27_loss: 2.0503 - val_distribution_lambda_28_loss: 0.5561\n",
+ "Epoch 207/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6294 - distribution_lambda_26_loss: 2.9966 - distribution_lambda_27_loss: 2.0829 - distribution_lambda_28_loss: 0.5499 - val_loss: 5.5715 - val_distribution_lambda_26_loss: 2.9664 - val_distribution_lambda_27_loss: 2.0491 - val_distribution_lambda_28_loss: 0.5559\n",
+ "Epoch 208/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6165 - distribution_lambda_26_loss: 2.9874 - distribution_lambda_27_loss: 2.0703 - distribution_lambda_28_loss: 0.5587 - val_loss: 5.5679 - val_distribution_lambda_26_loss: 2.9643 - val_distribution_lambda_27_loss: 2.0478 - val_distribution_lambda_28_loss: 0.5558\n",
+ "Epoch 209/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6372 - distribution_lambda_26_loss: 2.9928 - distribution_lambda_27_loss: 2.0925 - distribution_lambda_28_loss: 0.5519 - val_loss: 5.5643 - val_distribution_lambda_26_loss: 2.9621 - val_distribution_lambda_27_loss: 2.0464 - val_distribution_lambda_28_loss: 0.5557\n",
+ "Epoch 210/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6111 - distribution_lambda_26_loss: 2.9820 - distribution_lambda_27_loss: 2.0733 - distribution_lambda_28_loss: 0.5559 - val_loss: 5.5605 - val_distribution_lambda_26_loss: 2.9600 - val_distribution_lambda_27_loss: 2.0449 - val_distribution_lambda_28_loss: 0.5557\n",
+ "Epoch 211/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6369 - distribution_lambda_26_loss: 2.9847 - distribution_lambda_27_loss: 2.0992 - distribution_lambda_28_loss: 0.5530 - val_loss: 5.5567 - val_distribution_lambda_26_loss: 2.9578 - val_distribution_lambda_27_loss: 2.0433 - val_distribution_lambda_28_loss: 0.5556\n",
+ "Epoch 212/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6148 - distribution_lambda_26_loss: 2.9878 - distribution_lambda_27_loss: 2.0730 - distribution_lambda_28_loss: 0.5540 - val_loss: 5.5532 - val_distribution_lambda_26_loss: 2.9557 - val_distribution_lambda_27_loss: 2.0419 - val_distribution_lambda_28_loss: 0.5556\n",
+ "Epoch 213/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6249 - distribution_lambda_26_loss: 2.9842 - distribution_lambda_27_loss: 2.0884 - distribution_lambda_28_loss: 0.5523 - val_loss: 5.5495 - val_distribution_lambda_26_loss: 2.9535 - val_distribution_lambda_27_loss: 2.0406 - val_distribution_lambda_28_loss: 0.5554\n",
+ "Epoch 214/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.6259 - distribution_lambda_26_loss: 2.9809 - distribution_lambda_27_loss: 2.0968 - distribution_lambda_28_loss: 0.5482 - val_loss: 5.5455 - val_distribution_lambda_26_loss: 2.9513 - val_distribution_lambda_27_loss: 2.0389 - val_distribution_lambda_28_loss: 0.5552\n",
+ "Epoch 215/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5844 - distribution_lambda_26_loss: 2.9730 - distribution_lambda_27_loss: 2.0569 - distribution_lambda_28_loss: 0.5545 - val_loss: 5.5418 - val_distribution_lambda_26_loss: 2.9492 - val_distribution_lambda_27_loss: 2.0376 - val_distribution_lambda_28_loss: 0.5550\n",
+ "Epoch 216/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5720 - distribution_lambda_26_loss: 2.9728 - distribution_lambda_27_loss: 2.0448 - distribution_lambda_28_loss: 0.5543 - val_loss: 5.5383 - val_distribution_lambda_26_loss: 2.9471 - val_distribution_lambda_27_loss: 2.0363 - val_distribution_lambda_28_loss: 0.5549\n",
+ "Epoch 217/2500\n"
]
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- "Epoch 218/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8928 - distribution_lambda_10_loss: 0.1888 - distribution_lambda_11_loss: 1.3134 - distribution_lambda_12_loss: 0.3907 - val_loss: 1.7517 - val_distribution_lambda_10_loss: 0.0349 - val_distribution_lambda_11_loss: 1.3170 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 219/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8506 - distribution_lambda_10_loss: 0.1875 - distribution_lambda_11_loss: 1.2830 - distribution_lambda_12_loss: 0.3800 - val_loss: 1.7547 - val_distribution_lambda_10_loss: 0.0346 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3995\n",
- "Epoch 220/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7843 - distribution_lambda_10_loss: 0.1504 - distribution_lambda_11_loss: 1.2581 - distribution_lambda_12_loss: 0.3758 - val_loss: 1.7607 - val_distribution_lambda_10_loss: 0.0397 - val_distribution_lambda_11_loss: 1.3213 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 221/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9015 - distribution_lambda_10_loss: 0.2318 - distribution_lambda_11_loss: 1.2940 - distribution_lambda_12_loss: 0.3757 - val_loss: 1.7629 - val_distribution_lambda_10_loss: 0.0428 - val_distribution_lambda_11_loss: 1.3203 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 222/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8426 - distribution_lambda_10_loss: 0.1686 - distribution_lambda_11_loss: 1.2874 - distribution_lambda_12_loss: 0.3865 - val_loss: 1.7647 - val_distribution_lambda_10_loss: 0.0438 - val_distribution_lambda_11_loss: 1.3212 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 223/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8004 - distribution_lambda_10_loss: 0.1542 - distribution_lambda_11_loss: 1.2650 - distribution_lambda_12_loss: 0.3812 - val_loss: 1.7687 - val_distribution_lambda_10_loss: 0.0475 - val_distribution_lambda_11_loss: 1.3217 - val_distribution_lambda_12_loss: 0.3996\n",
- "Epoch 224/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8161 - distribution_lambda_10_loss: 0.1573 - distribution_lambda_11_loss: 1.2737 - distribution_lambda_12_loss: 0.3850 - val_loss: 1.7641 - val_distribution_lambda_10_loss: 0.0407 - val_distribution_lambda_11_loss: 1.3237 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 225/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7916 - distribution_lambda_10_loss: 0.1258 - distribution_lambda_11_loss: 1.2817 - distribution_lambda_12_loss: 0.3841 - val_loss: 1.7742 - val_distribution_lambda_10_loss: 0.0455 - val_distribution_lambda_11_loss: 1.3286 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 226/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7875 - distribution_lambda_10_loss: 0.0974 - distribution_lambda_11_loss: 1.2953 - distribution_lambda_12_loss: 0.3947 - val_loss: 1.7583 - val_distribution_lambda_10_loss: 0.0339 - val_distribution_lambda_11_loss: 1.3243 - val_distribution_lambda_12_loss: 0.4001\n",
- "Epoch 227/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8151 - distribution_lambda_10_loss: 0.1809 - distribution_lambda_11_loss: 1.2551 - distribution_lambda_12_loss: 0.3792 - val_loss: 1.7504 - val_distribution_lambda_10_loss: 0.0312 - val_distribution_lambda_11_loss: 1.3192 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 228/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.9603 - distribution_lambda_10_loss: 0.2873 - distribution_lambda_11_loss: 1.2870 - distribution_lambda_12_loss: 0.3860 - val_loss: 1.7527 - val_distribution_lambda_10_loss: 0.0343 - val_distribution_lambda_11_loss: 1.3185 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 229/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8002 - distribution_lambda_10_loss: 0.1581 - distribution_lambda_11_loss: 1.2589 - distribution_lambda_12_loss: 0.3832 - val_loss: 1.7693 - val_distribution_lambda_10_loss: 0.0483 - val_distribution_lambda_11_loss: 1.3211 - val_distribution_lambda_12_loss: 0.3998\n",
- "Epoch 230/2000\n",
- "8/8 [==============================] - 0s 7ms/step - loss: 1.8404 - distribution_lambda_10_loss: 0.1862 - distribution_lambda_11_loss: 1.2795 - distribution_lambda_12_loss: 0.3747 - val_loss: 1.7755 - val_distribution_lambda_10_loss: 0.0495 - val_distribution_lambda_11_loss: 1.3263 - val_distribution_lambda_12_loss: 0.3997\n",
- "Epoch 231/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7884 - distribution_lambda_10_loss: 0.1445 - distribution_lambda_11_loss: 1.2584 - distribution_lambda_12_loss: 0.3855 - val_loss: 1.7716 - val_distribution_lambda_10_loss: 0.0513 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.3996\n",
- "Epoch 232/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8077 - distribution_lambda_10_loss: 0.1632 - distribution_lambda_11_loss: 1.2708 - distribution_lambda_12_loss: 0.3737 - val_loss: 1.7608 - val_distribution_lambda_10_loss: 0.0413 - val_distribution_lambda_11_loss: 1.3196 - val_distribution_lambda_12_loss: 0.3999\n",
- "Epoch 233/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8350 - distribution_lambda_10_loss: 0.1847 - distribution_lambda_11_loss: 1.2724 - distribution_lambda_12_loss: 0.3779 - val_loss: 1.7609 - val_distribution_lambda_10_loss: 0.0421 - val_distribution_lambda_11_loss: 1.3188 - val_distribution_lambda_12_loss: 0.4000\n",
- "Epoch 234/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7852 - distribution_lambda_10_loss: 0.1475 - distribution_lambda_11_loss: 1.2558 - distribution_lambda_12_loss: 0.3819 - val_loss: 1.7681 - val_distribution_lambda_10_loss: 0.0494 - val_distribution_lambda_11_loss: 1.3182 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 235/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8264 - distribution_lambda_10_loss: 0.1502 - distribution_lambda_11_loss: 1.2833 - distribution_lambda_12_loss: 0.3929 - val_loss: 1.7571 - val_distribution_lambda_10_loss: 0.0357 - val_distribution_lambda_11_loss: 1.3206 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 236/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7020 - distribution_lambda_10_loss: 0.1101 - distribution_lambda_11_loss: 1.2371 - distribution_lambda_12_loss: 0.3548 - val_loss: 1.7496 - val_distribution_lambda_10_loss: 0.0298 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4005\n",
- "Epoch 237/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8055 - distribution_lambda_10_loss: 0.1338 - distribution_lambda_11_loss: 1.2871 - distribution_lambda_12_loss: 0.3847 - val_loss: 1.7486 - val_distribution_lambda_10_loss: 0.0266 - val_distribution_lambda_11_loss: 1.3215 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 238/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8616 - distribution_lambda_10_loss: 0.1724 - distribution_lambda_11_loss: 1.2850 - distribution_lambda_12_loss: 0.4042 - val_loss: 1.7454 - val_distribution_lambda_10_loss: 0.0274 - val_distribution_lambda_11_loss: 1.3170 - val_distribution_lambda_12_loss: 0.4010\n",
- "Epoch 239/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8076 - distribution_lambda_10_loss: 0.1618 - distribution_lambda_11_loss: 1.2505 - distribution_lambda_12_loss: 0.3953 - val_loss: 1.7494 - val_distribution_lambda_10_loss: 0.0326 - val_distribution_lambda_11_loss: 1.3160 - val_distribution_lambda_12_loss: 0.4008\n",
- "Epoch 240/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.8577 - distribution_lambda_10_loss: 0.1635 - distribution_lambda_11_loss: 1.2985 - distribution_lambda_12_loss: 0.3956 - val_loss: 1.7509 - val_distribution_lambda_10_loss: 0.0319 - val_distribution_lambda_11_loss: 1.3184 - val_distribution_lambda_12_loss: 0.4006\n",
- "Epoch 241/2000\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5990 - distribution_lambda_26_loss: 2.9679 - distribution_lambda_27_loss: 2.0818 - distribution_lambda_28_loss: 0.5493 - val_loss: 5.5349 - val_distribution_lambda_26_loss: 2.9449 - val_distribution_lambda_27_loss: 2.0351 - val_distribution_lambda_28_loss: 0.5548\n",
+ "Epoch 218/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5639 - distribution_lambda_26_loss: 2.9647 - distribution_lambda_27_loss: 2.0469 - distribution_lambda_28_loss: 0.5523 - val_loss: 5.5313 - val_distribution_lambda_26_loss: 2.9428 - val_distribution_lambda_27_loss: 2.0338 - val_distribution_lambda_28_loss: 0.5547\n",
+ "Epoch 219/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5621 - distribution_lambda_26_loss: 2.9656 - distribution_lambda_27_loss: 2.0419 - distribution_lambda_28_loss: 0.5546 - val_loss: 5.5279 - val_distribution_lambda_26_loss: 2.9407 - val_distribution_lambda_27_loss: 2.0326 - val_distribution_lambda_28_loss: 0.5546\n",
+ "Epoch 220/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5914 - distribution_lambda_26_loss: 2.9622 - distribution_lambda_27_loss: 2.0757 - distribution_lambda_28_loss: 0.5535 - val_loss: 5.5246 - val_distribution_lambda_26_loss: 2.9386 - val_distribution_lambda_27_loss: 2.0314 - val_distribution_lambda_28_loss: 0.5546\n",
+ "Epoch 221/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5614 - distribution_lambda_26_loss: 2.9646 - distribution_lambda_27_loss: 2.0439 - distribution_lambda_28_loss: 0.5529 - val_loss: 5.5213 - val_distribution_lambda_26_loss: 2.9365 - val_distribution_lambda_27_loss: 2.0304 - val_distribution_lambda_28_loss: 0.5545\n",
+ "Epoch 222/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5668 - distribution_lambda_26_loss: 2.9603 - distribution_lambda_27_loss: 2.0584 - distribution_lambda_28_loss: 0.5481 - val_loss: 5.5179 - val_distribution_lambda_26_loss: 2.9343 - val_distribution_lambda_27_loss: 2.0291 - val_distribution_lambda_28_loss: 0.5544\n",
+ "Epoch 223/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.5697 - distribution_lambda_26_loss: 2.9570 - distribution_lambda_27_loss: 2.0623 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.5143 - val_distribution_lambda_26_loss: 2.9322 - val_distribution_lambda_27_loss: 2.0278 - val_distribution_lambda_28_loss: 0.5543\n",
+ "Epoch 224/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5893 - distribution_lambda_26_loss: 2.9595 - distribution_lambda_27_loss: 2.0783 - distribution_lambda_28_loss: 0.5515 - val_loss: 5.5109 - val_distribution_lambda_26_loss: 2.9301 - val_distribution_lambda_27_loss: 2.0266 - val_distribution_lambda_28_loss: 0.5542\n",
+ "Epoch 225/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5722 - distribution_lambda_26_loss: 2.9538 - distribution_lambda_27_loss: 2.0624 - distribution_lambda_28_loss: 0.5560 - val_loss: 5.5075 - val_distribution_lambda_26_loss: 2.9279 - val_distribution_lambda_27_loss: 2.0255 - val_distribution_lambda_28_loss: 0.5541\n",
+ "Epoch 226/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5900 - distribution_lambda_26_loss: 2.9602 - distribution_lambda_27_loss: 2.0782 - distribution_lambda_28_loss: 0.5516 - val_loss: 5.5043 - val_distribution_lambda_26_loss: 2.9258 - val_distribution_lambda_27_loss: 2.0244 - val_distribution_lambda_28_loss: 0.5541\n",
+ "Epoch 227/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5387 - distribution_lambda_26_loss: 2.9479 - distribution_lambda_27_loss: 2.0406 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.5009 - val_distribution_lambda_26_loss: 2.9237 - val_distribution_lambda_27_loss: 2.0232 - val_distribution_lambda_28_loss: 0.5540\n",
+ "Epoch 228/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5283 - distribution_lambda_26_loss: 2.9409 - distribution_lambda_27_loss: 2.0366 - distribution_lambda_28_loss: 0.5508 - val_loss: 5.4975 - val_distribution_lambda_26_loss: 2.9216 - val_distribution_lambda_27_loss: 2.0220 - val_distribution_lambda_28_loss: 0.5540\n",
+ "Epoch 229/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5524 - distribution_lambda_26_loss: 2.9467 - distribution_lambda_27_loss: 2.0495 - distribution_lambda_28_loss: 0.5561 - val_loss: 5.4940 - val_distribution_lambda_26_loss: 2.9195 - val_distribution_lambda_27_loss: 2.0206 - val_distribution_lambda_28_loss: 0.5539\n",
+ "Epoch 230/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5513 - distribution_lambda_26_loss: 2.9435 - distribution_lambda_27_loss: 2.0592 - distribution_lambda_28_loss: 0.5486 - val_loss: 5.4905 - val_distribution_lambda_26_loss: 2.9173 - val_distribution_lambda_27_loss: 2.0193 - val_distribution_lambda_28_loss: 0.5539\n",
+ "Epoch 231/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5481 - distribution_lambda_26_loss: 2.9455 - distribution_lambda_27_loss: 2.0495 - distribution_lambda_28_loss: 0.5531 - val_loss: 5.4869 - val_distribution_lambda_26_loss: 2.9152 - val_distribution_lambda_27_loss: 2.0179 - val_distribution_lambda_28_loss: 0.5537\n",
+ "Epoch 232/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.5492 - distribution_lambda_26_loss: 2.9392 - distribution_lambda_27_loss: 2.0598 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4833 - val_distribution_lambda_26_loss: 2.9131 - val_distribution_lambda_27_loss: 2.0165 - val_distribution_lambda_28_loss: 0.5536\n",
+ "Epoch 233/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.5333 - distribution_lambda_26_loss: 2.9380 - distribution_lambda_27_loss: 2.0438 - distribution_lambda_28_loss: 0.5516 - val_loss: 5.4798 - val_distribution_lambda_26_loss: 2.9110 - val_distribution_lambda_27_loss: 2.0153 - val_distribution_lambda_28_loss: 0.5535\n",
+ "Epoch 234/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5236 - distribution_lambda_26_loss: 2.9358 - distribution_lambda_27_loss: 2.0342 - distribution_lambda_28_loss: 0.5536 - val_loss: 5.4763 - val_distribution_lambda_26_loss: 2.9089 - val_distribution_lambda_27_loss: 2.0140 - val_distribution_lambda_28_loss: 0.5534\n",
+ "Epoch 235/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5030 - distribution_lambda_26_loss: 2.9267 - distribution_lambda_27_loss: 2.0261 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4726 - val_distribution_lambda_26_loss: 2.9067 - val_distribution_lambda_27_loss: 2.0126 - val_distribution_lambda_28_loss: 0.5533\n",
+ "Epoch 236/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4961 - distribution_lambda_26_loss: 2.9268 - distribution_lambda_27_loss: 2.0187 - distribution_lambda_28_loss: 0.5506 - val_loss: 5.4692 - val_distribution_lambda_26_loss: 2.9046 - val_distribution_lambda_27_loss: 2.0114 - val_distribution_lambda_28_loss: 0.5532\n",
+ "Epoch 237/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4963 - distribution_lambda_26_loss: 2.9263 - distribution_lambda_27_loss: 2.0204 - distribution_lambda_28_loss: 0.5496 - val_loss: 5.4656 - val_distribution_lambda_26_loss: 2.9025 - val_distribution_lambda_27_loss: 2.0100 - val_distribution_lambda_28_loss: 0.5531\n",
+ "Epoch 238/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5490 - distribution_lambda_26_loss: 2.9236 - distribution_lambda_27_loss: 2.0745 - distribution_lambda_28_loss: 0.5508 - val_loss: 5.4619 - val_distribution_lambda_26_loss: 2.9004 - val_distribution_lambda_27_loss: 2.0085 - val_distribution_lambda_28_loss: 0.5529\n",
+ "Epoch 239/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4974 - distribution_lambda_26_loss: 2.9191 - distribution_lambda_27_loss: 2.0285 - distribution_lambda_28_loss: 0.5497 - val_loss: 5.4581 - val_distribution_lambda_26_loss: 2.8983 - val_distribution_lambda_27_loss: 2.0069 - val_distribution_lambda_28_loss: 0.5529\n",
+ "Epoch 240/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.5136 - distribution_lambda_26_loss: 2.9248 - distribution_lambda_27_loss: 2.0320 - distribution_lambda_28_loss: 0.5568 - val_loss: 5.4546 - val_distribution_lambda_26_loss: 2.8962 - val_distribution_lambda_27_loss: 2.0056 - val_distribution_lambda_28_loss: 0.5528\n",
+ "Epoch 241/2500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7675 - distribution_lambda_10_loss: 0.1047 - distribution_lambda_11_loss: 1.2833 - distribution_lambda_12_loss: 0.3795 - val_loss: 1.7483 - val_distribution_lambda_10_loss: 0.0312 - val_distribution_lambda_11_loss: 1.3168 - val_distribution_lambda_12_loss: 0.4004\n",
- "Epoch 242/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7387 - distribution_lambda_10_loss: 0.1229 - distribution_lambda_11_loss: 1.2474 - distribution_lambda_12_loss: 0.3683 - val_loss: 1.7488 - val_distribution_lambda_10_loss: 0.0314 - val_distribution_lambda_11_loss: 1.3171 - val_distribution_lambda_12_loss: 0.4003\n",
- "Epoch 243/2000\n",
- "8/8 [==============================] - 0s 6ms/step - loss: 1.7835 - distribution_lambda_10_loss: 0.1116 - distribution_lambda_11_loss: 1.2800 - distribution_lambda_12_loss: 0.3918 - val_loss: 1.7465 - val_distribution_lambda_10_loss: 0.0271 - val_distribution_lambda_11_loss: 1.3193 - val_distribution_lambda_12_loss: 0.4002\n"
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4933 - distribution_lambda_26_loss: 2.9149 - distribution_lambda_27_loss: 2.0280 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.4510 - val_distribution_lambda_26_loss: 2.8941 - val_distribution_lambda_27_loss: 2.0042 - val_distribution_lambda_28_loss: 0.5527\n",
+ "Epoch 242/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4970 - distribution_lambda_26_loss: 2.9121 - distribution_lambda_27_loss: 2.0347 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4474 - val_distribution_lambda_26_loss: 2.8920 - val_distribution_lambda_27_loss: 2.0027 - val_distribution_lambda_28_loss: 0.5528\n",
+ "Epoch 243/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4949 - distribution_lambda_26_loss: 2.9142 - distribution_lambda_27_loss: 2.0293 - distribution_lambda_28_loss: 0.5514 - val_loss: 5.4438 - val_distribution_lambda_26_loss: 2.8898 - val_distribution_lambda_27_loss: 2.0013 - val_distribution_lambda_28_loss: 0.5527\n",
+ "Epoch 244/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4918 - distribution_lambda_26_loss: 2.9132 - distribution_lambda_27_loss: 2.0283 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.4402 - val_distribution_lambda_26_loss: 2.8877 - val_distribution_lambda_27_loss: 1.9999 - val_distribution_lambda_28_loss: 0.5526\n",
+ "Epoch 245/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4831 - distribution_lambda_26_loss: 2.9084 - distribution_lambda_27_loss: 2.0272 - distribution_lambda_28_loss: 0.5475 - val_loss: 5.4368 - val_distribution_lambda_26_loss: 2.8856 - val_distribution_lambda_27_loss: 1.9987 - val_distribution_lambda_28_loss: 0.5525\n",
+ "Epoch 246/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4677 - distribution_lambda_26_loss: 2.9064 - distribution_lambda_27_loss: 2.0108 - distribution_lambda_28_loss: 0.5506 - val_loss: 5.4330 - val_distribution_lambda_26_loss: 2.8834 - val_distribution_lambda_27_loss: 1.9971 - val_distribution_lambda_28_loss: 0.5524\n",
+ "Epoch 247/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4641 - distribution_lambda_26_loss: 2.9020 - distribution_lambda_27_loss: 2.0159 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.4295 - val_distribution_lambda_26_loss: 2.8813 - val_distribution_lambda_27_loss: 1.9958 - val_distribution_lambda_28_loss: 0.5524\n",
+ "Epoch 248/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4622 - distribution_lambda_26_loss: 2.9051 - distribution_lambda_27_loss: 2.0090 - distribution_lambda_28_loss: 0.5481 - val_loss: 5.4263 - val_distribution_lambda_26_loss: 2.8791 - val_distribution_lambda_27_loss: 1.9948 - val_distribution_lambda_28_loss: 0.5523\n",
+ "Epoch 249/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4505 - distribution_lambda_26_loss: 2.8962 - distribution_lambda_27_loss: 2.0040 - distribution_lambda_28_loss: 0.5503 - val_loss: 5.4229 - val_distribution_lambda_26_loss: 2.8770 - val_distribution_lambda_27_loss: 1.9935 - val_distribution_lambda_28_loss: 0.5524\n",
+ "Epoch 250/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4577 - distribution_lambda_26_loss: 2.8953 - distribution_lambda_27_loss: 2.0160 - distribution_lambda_28_loss: 0.5464 - val_loss: 5.4194 - val_distribution_lambda_26_loss: 2.8749 - val_distribution_lambda_27_loss: 1.9923 - val_distribution_lambda_28_loss: 0.5523\n",
+ "Epoch 251/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4813 - distribution_lambda_26_loss: 2.8955 - distribution_lambda_27_loss: 2.0351 - distribution_lambda_28_loss: 0.5507 - val_loss: 5.4161 - val_distribution_lambda_26_loss: 2.8727 - val_distribution_lambda_27_loss: 1.9912 - val_distribution_lambda_28_loss: 0.5522\n",
+ "Epoch 252/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4420 - distribution_lambda_26_loss: 2.8945 - distribution_lambda_27_loss: 1.9973 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.4126 - val_distribution_lambda_26_loss: 2.8705 - val_distribution_lambda_27_loss: 1.9899 - val_distribution_lambda_28_loss: 0.5522\n",
+ "Epoch 253/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4392 - distribution_lambda_26_loss: 2.8870 - distribution_lambda_27_loss: 2.0047 - distribution_lambda_28_loss: 0.5476 - val_loss: 5.4089 - val_distribution_lambda_26_loss: 2.8684 - val_distribution_lambda_27_loss: 1.9884 - val_distribution_lambda_28_loss: 0.5521\n",
+ "Epoch 254/2500\n",
+ "8/8 [==============================] - 0s 12ms/step - loss: 5.4326 - distribution_lambda_26_loss: 2.8895 - distribution_lambda_27_loss: 1.9955 - distribution_lambda_28_loss: 0.5475 - val_loss: 5.4050 - val_distribution_lambda_26_loss: 2.8662 - val_distribution_lambda_27_loss: 1.9868 - val_distribution_lambda_28_loss: 0.5520\n",
+ "Epoch 255/2500\n",
+ "8/8 [==============================] - 0s 10ms/step - loss: 5.4582 - distribution_lambda_26_loss: 2.8938 - distribution_lambda_27_loss: 2.0174 - distribution_lambda_28_loss: 0.5470 - val_loss: 5.4012 - val_distribution_lambda_26_loss: 2.8641 - val_distribution_lambda_27_loss: 1.9853 - val_distribution_lambda_28_loss: 0.5519\n",
+ "Epoch 256/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.4370 - distribution_lambda_26_loss: 2.8834 - distribution_lambda_27_loss: 2.0053 - distribution_lambda_28_loss: 0.5483 - val_loss: 5.3972 - val_distribution_lambda_26_loss: 2.8619 - val_distribution_lambda_27_loss: 1.9836 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 257/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4342 - distribution_lambda_26_loss: 2.8797 - distribution_lambda_27_loss: 2.0100 - distribution_lambda_28_loss: 0.5445 - val_loss: 5.3935 - val_distribution_lambda_26_loss: 2.8597 - val_distribution_lambda_27_loss: 1.9820 - val_distribution_lambda_28_loss: 0.5518\n",
+ "Epoch 258/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 5.4209 - distribution_lambda_26_loss: 2.8801 - distribution_lambda_27_loss: 1.9954 - distribution_lambda_28_loss: 0.5455 - val_loss: 5.3902 - val_distribution_lambda_26_loss: 2.8575 - val_distribution_lambda_27_loss: 1.9809 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 259/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4172 - distribution_lambda_26_loss: 2.8801 - distribution_lambda_27_loss: 1.9881 - distribution_lambda_28_loss: 0.5490 - val_loss: 5.3868 - val_distribution_lambda_26_loss: 2.8553 - val_distribution_lambda_27_loss: 1.9797 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 260/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4378 - distribution_lambda_26_loss: 2.8796 - distribution_lambda_27_loss: 2.0091 - distribution_lambda_28_loss: 0.5490 - val_loss: 5.3830 - val_distribution_lambda_26_loss: 2.8531 - val_distribution_lambda_27_loss: 1.9782 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 261/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4026 - distribution_lambda_26_loss: 2.8714 - distribution_lambda_27_loss: 1.9829 - distribution_lambda_28_loss: 0.5483 - val_loss: 5.3796 - val_distribution_lambda_26_loss: 2.8509 - val_distribution_lambda_27_loss: 1.9770 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 262/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4168 - distribution_lambda_26_loss: 2.8679 - distribution_lambda_27_loss: 1.9992 - distribution_lambda_28_loss: 0.5496 - val_loss: 5.3758 - val_distribution_lambda_26_loss: 2.8487 - val_distribution_lambda_27_loss: 1.9754 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 263/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4089 - distribution_lambda_26_loss: 2.8653 - distribution_lambda_27_loss: 1.9960 - distribution_lambda_28_loss: 0.5476 - val_loss: 5.3723 - val_distribution_lambda_26_loss: 2.8465 - val_distribution_lambda_27_loss: 1.9740 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 264/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4039 - distribution_lambda_26_loss: 2.8657 - distribution_lambda_27_loss: 1.9880 - distribution_lambda_28_loss: 0.5502 - val_loss: 5.3688 - val_distribution_lambda_26_loss: 2.8443 - val_distribution_lambda_27_loss: 1.9728 - val_distribution_lambda_28_loss: 0.5517\n",
+ "Epoch 265/2500\n"
+ ]
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+ "Epoch 266/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.3878 - distribution_lambda_26_loss: 2.8584 - distribution_lambda_27_loss: 1.9777 - distribution_lambda_28_loss: 0.5518 - val_loss: 5.3613 - val_distribution_lambda_26_loss: 2.8399 - val_distribution_lambda_27_loss: 1.9699 - val_distribution_lambda_28_loss: 0.5515\n",
+ "Epoch 267/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.4038 - distribution_lambda_26_loss: 2.8583 - distribution_lambda_27_loss: 1.9958 - distribution_lambda_28_loss: 0.5497 - val_loss: 5.3574 - val_distribution_lambda_26_loss: 2.8377 - val_distribution_lambda_27_loss: 1.9682 - val_distribution_lambda_28_loss: 0.5516\n",
+ "Epoch 268/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.4231 - distribution_lambda_26_loss: 2.8608 - distribution_lambda_27_loss: 2.0128 - distribution_lambda_28_loss: 0.5495 - val_loss: 5.3538 - val_distribution_lambda_26_loss: 2.8354 - val_distribution_lambda_27_loss: 1.9668 - val_distribution_lambda_28_loss: 0.5515\n",
+ "Epoch 269/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3826 - distribution_lambda_26_loss: 2.8502 - distribution_lambda_27_loss: 1.9854 - distribution_lambda_28_loss: 0.5470 - val_loss: 5.3503 - val_distribution_lambda_26_loss: 2.8332 - val_distribution_lambda_27_loss: 1.9656 - val_distribution_lambda_28_loss: 0.5515\n",
+ "Epoch 270/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3678 - distribution_lambda_26_loss: 2.8497 - distribution_lambda_27_loss: 1.9753 - distribution_lambda_28_loss: 0.5428 - val_loss: 5.3467 - val_distribution_lambda_26_loss: 2.8309 - val_distribution_lambda_27_loss: 1.9644 - val_distribution_lambda_28_loss: 0.5514\n",
+ "Epoch 271/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3741 - distribution_lambda_26_loss: 2.8492 - distribution_lambda_27_loss: 1.9848 - distribution_lambda_28_loss: 0.5401 - val_loss: 5.3430 - val_distribution_lambda_26_loss: 2.8287 - val_distribution_lambda_27_loss: 1.9630 - val_distribution_lambda_28_loss: 0.5514\n",
+ "Epoch 272/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3615 - distribution_lambda_26_loss: 2.8463 - distribution_lambda_27_loss: 1.9719 - distribution_lambda_28_loss: 0.5432 - val_loss: 5.3390 - val_distribution_lambda_26_loss: 2.8264 - val_distribution_lambda_27_loss: 1.9613 - val_distribution_lambda_28_loss: 0.5513\n",
+ "Epoch 273/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3622 - distribution_lambda_26_loss: 2.8455 - distribution_lambda_27_loss: 1.9691 - distribution_lambda_28_loss: 0.5476 - val_loss: 5.3350 - val_distribution_lambda_26_loss: 2.8241 - val_distribution_lambda_27_loss: 1.9596 - val_distribution_lambda_28_loss: 0.5513\n",
+ "Epoch 274/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3657 - distribution_lambda_26_loss: 2.8403 - distribution_lambda_27_loss: 1.9772 - distribution_lambda_28_loss: 0.5482 - val_loss: 5.3308 - val_distribution_lambda_26_loss: 2.8219 - val_distribution_lambda_27_loss: 1.9578 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 275/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.3588 - distribution_lambda_26_loss: 2.8368 - distribution_lambda_27_loss: 1.9758 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.3267 - val_distribution_lambda_26_loss: 2.8196 - val_distribution_lambda_27_loss: 1.9561 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 276/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3475 - distribution_lambda_26_loss: 2.8373 - distribution_lambda_27_loss: 1.9630 - distribution_lambda_28_loss: 0.5472 - val_loss: 5.3231 - val_distribution_lambda_26_loss: 2.8173 - val_distribution_lambda_27_loss: 1.9548 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 277/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3629 - distribution_lambda_26_loss: 2.8327 - distribution_lambda_27_loss: 1.9826 - distribution_lambda_28_loss: 0.5477 - val_loss: 5.3195 - val_distribution_lambda_26_loss: 2.8150 - val_distribution_lambda_27_loss: 1.9535 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 278/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3547 - distribution_lambda_26_loss: 2.8314 - distribution_lambda_27_loss: 1.9749 - distribution_lambda_28_loss: 0.5484 - val_loss: 5.3158 - val_distribution_lambda_26_loss: 2.8127 - val_distribution_lambda_27_loss: 1.9520 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 279/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3517 - distribution_lambda_26_loss: 2.8331 - distribution_lambda_27_loss: 1.9708 - distribution_lambda_28_loss: 0.5479 - val_loss: 5.3119 - val_distribution_lambda_26_loss: 2.8104 - val_distribution_lambda_27_loss: 1.9505 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 280/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3429 - distribution_lambda_26_loss: 2.8290 - distribution_lambda_27_loss: 1.9699 - distribution_lambda_28_loss: 0.5439 - val_loss: 5.3081 - val_distribution_lambda_26_loss: 2.8080 - val_distribution_lambda_27_loss: 1.9491 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 281/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3504 - distribution_lambda_26_loss: 2.8299 - distribution_lambda_27_loss: 1.9741 - distribution_lambda_28_loss: 0.5464 - val_loss: 5.3042 - val_distribution_lambda_26_loss: 2.8057 - val_distribution_lambda_27_loss: 1.9476 - val_distribution_lambda_28_loss: 0.5509\n",
+ "Epoch 282/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3580 - distribution_lambda_26_loss: 2.8234 - distribution_lambda_27_loss: 1.9875 - distribution_lambda_28_loss: 0.5471 - val_loss: 5.3000 - val_distribution_lambda_26_loss: 2.8034 - val_distribution_lambda_27_loss: 1.9457 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 283/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3440 - distribution_lambda_26_loss: 2.8204 - distribution_lambda_27_loss: 1.9787 - distribution_lambda_28_loss: 0.5449 - val_loss: 5.2963 - val_distribution_lambda_26_loss: 2.8010 - val_distribution_lambda_27_loss: 1.9443 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 284/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3394 - distribution_lambda_26_loss: 2.8160 - distribution_lambda_27_loss: 1.9764 - distribution_lambda_28_loss: 0.5470 - val_loss: 5.2926 - val_distribution_lambda_26_loss: 2.7986 - val_distribution_lambda_27_loss: 1.9428 - val_distribution_lambda_28_loss: 0.5512\n",
+ "Epoch 285/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3119 - distribution_lambda_26_loss: 2.8166 - distribution_lambda_27_loss: 1.9512 - distribution_lambda_28_loss: 0.5441 - val_loss: 5.2886 - val_distribution_lambda_26_loss: 2.7963 - val_distribution_lambda_27_loss: 1.9413 - val_distribution_lambda_28_loss: 0.5511\n",
+ "Epoch 286/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3433 - distribution_lambda_26_loss: 2.8184 - distribution_lambda_27_loss: 1.9758 - distribution_lambda_28_loss: 0.5492 - val_loss: 5.2847 - val_distribution_lambda_26_loss: 2.7939 - val_distribution_lambda_27_loss: 1.9396 - val_distribution_lambda_28_loss: 0.5512\n",
+ "Epoch 287/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.3138 - distribution_lambda_26_loss: 2.8094 - distribution_lambda_27_loss: 1.9555 - distribution_lambda_28_loss: 0.5489 - val_loss: 5.2807 - val_distribution_lambda_26_loss: 2.7915 - val_distribution_lambda_27_loss: 1.9381 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 288/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.3188 - distribution_lambda_26_loss: 2.8080 - distribution_lambda_27_loss: 1.9621 - distribution_lambda_28_loss: 0.5486 - val_loss: 5.2766 - val_distribution_lambda_26_loss: 2.7891 - val_distribution_lambda_27_loss: 1.9364 - val_distribution_lambda_28_loss: 0.5510\n",
+ "Epoch 289/2500\n"
+ ]
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+ "text": [
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+ "Epoch 290/2500\n",
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+ "Epoch 291/2500\n",
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+ "Epoch 292/2500\n",
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+ "Epoch 293/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2689 - distribution_lambda_26_loss: 2.7942 - distribution_lambda_27_loss: 1.9279 - distribution_lambda_28_loss: 0.5467 - val_loss: 5.2569 - val_distribution_lambda_26_loss: 2.7769 - val_distribution_lambda_27_loss: 1.9293 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 294/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2909 - distribution_lambda_26_loss: 2.7962 - distribution_lambda_27_loss: 1.9457 - distribution_lambda_28_loss: 0.5490 - val_loss: 5.2529 - val_distribution_lambda_26_loss: 2.7744 - val_distribution_lambda_27_loss: 1.9278 - val_distribution_lambda_28_loss: 0.5506\n",
+ "Epoch 295/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2771 - distribution_lambda_26_loss: 2.7905 - distribution_lambda_27_loss: 1.9449 - distribution_lambda_28_loss: 0.5417 - val_loss: 5.2487 - val_distribution_lambda_26_loss: 2.7720 - val_distribution_lambda_27_loss: 1.9261 - val_distribution_lambda_28_loss: 0.5506\n",
+ "Epoch 296/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2774 - distribution_lambda_26_loss: 2.7910 - distribution_lambda_27_loss: 1.9455 - distribution_lambda_28_loss: 0.5409 - val_loss: 5.2446 - val_distribution_lambda_26_loss: 2.7695 - val_distribution_lambda_27_loss: 1.9244 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 297/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2597 - distribution_lambda_26_loss: 2.7863 - distribution_lambda_27_loss: 1.9253 - distribution_lambda_28_loss: 0.5481 - val_loss: 5.2404 - val_distribution_lambda_26_loss: 2.7670 - val_distribution_lambda_27_loss: 1.9227 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 298/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2783 - distribution_lambda_26_loss: 2.7830 - distribution_lambda_27_loss: 1.9471 - distribution_lambda_28_loss: 0.5482 - val_loss: 5.2363 - val_distribution_lambda_26_loss: 2.7645 - val_distribution_lambda_27_loss: 1.9211 - val_distribution_lambda_28_loss: 0.5508\n",
+ "Epoch 299/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2835 - distribution_lambda_26_loss: 2.7845 - distribution_lambda_27_loss: 1.9500 - distribution_lambda_28_loss: 0.5489 - val_loss: 5.2323 - val_distribution_lambda_26_loss: 2.7620 - val_distribution_lambda_27_loss: 1.9196 - val_distribution_lambda_28_loss: 0.5508\n",
+ "Epoch 300/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2767 - distribution_lambda_26_loss: 2.7798 - distribution_lambda_27_loss: 1.9498 - distribution_lambda_28_loss: 0.5471 - val_loss: 5.2279 - val_distribution_lambda_26_loss: 2.7594 - val_distribution_lambda_27_loss: 1.9177 - val_distribution_lambda_28_loss: 0.5508\n",
+ "Epoch 301/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.2783 - distribution_lambda_26_loss: 2.7777 - distribution_lambda_27_loss: 1.9574 - distribution_lambda_28_loss: 0.5432 - val_loss: 5.2233 - val_distribution_lambda_26_loss: 2.7569 - val_distribution_lambda_27_loss: 1.9157 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 302/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2620 - distribution_lambda_26_loss: 2.7765 - distribution_lambda_27_loss: 1.9387 - distribution_lambda_28_loss: 0.5468 - val_loss: 5.2188 - val_distribution_lambda_26_loss: 2.7543 - val_distribution_lambda_27_loss: 1.9137 - val_distribution_lambda_28_loss: 0.5507\n",
+ "Epoch 303/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.2479 - distribution_lambda_26_loss: 2.7715 - distribution_lambda_27_loss: 1.9302 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.2141 - val_distribution_lambda_26_loss: 2.7518 - val_distribution_lambda_27_loss: 1.9119 - val_distribution_lambda_28_loss: 0.5505\n",
+ "Epoch 304/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2521 - distribution_lambda_26_loss: 2.7699 - distribution_lambda_27_loss: 1.9350 - distribution_lambda_28_loss: 0.5472 - val_loss: 5.2098 - val_distribution_lambda_26_loss: 2.7492 - val_distribution_lambda_27_loss: 1.9101 - val_distribution_lambda_28_loss: 0.5505\n",
+ "Epoch 305/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2397 - distribution_lambda_26_loss: 2.7649 - distribution_lambda_27_loss: 1.9291 - distribution_lambda_28_loss: 0.5457 - val_loss: 5.2053 - val_distribution_lambda_26_loss: 2.7466 - val_distribution_lambda_27_loss: 1.9084 - val_distribution_lambda_28_loss: 0.5503\n",
+ "Epoch 306/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2389 - distribution_lambda_26_loss: 2.7633 - distribution_lambda_27_loss: 1.9309 - distribution_lambda_28_loss: 0.5447 - val_loss: 5.2008 - val_distribution_lambda_26_loss: 2.7440 - val_distribution_lambda_27_loss: 1.9065 - val_distribution_lambda_28_loss: 0.5503\n",
+ "Epoch 307/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2263 - distribution_lambda_26_loss: 2.7628 - distribution_lambda_27_loss: 1.9200 - distribution_lambda_28_loss: 0.5434 - val_loss: 5.1964 - val_distribution_lambda_26_loss: 2.7414 - val_distribution_lambda_27_loss: 1.9049 - val_distribution_lambda_28_loss: 0.5501\n",
+ "Epoch 308/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2368 - distribution_lambda_26_loss: 2.7602 - distribution_lambda_27_loss: 1.9308 - distribution_lambda_28_loss: 0.5458 - val_loss: 5.1923 - val_distribution_lambda_26_loss: 2.7387 - val_distribution_lambda_27_loss: 1.9036 - val_distribution_lambda_28_loss: 0.5500\n",
+ "Epoch 309/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2157 - distribution_lambda_26_loss: 2.7547 - distribution_lambda_27_loss: 1.9167 - distribution_lambda_28_loss: 0.5443 - val_loss: 5.1881 - val_distribution_lambda_26_loss: 2.7361 - val_distribution_lambda_27_loss: 1.9021 - val_distribution_lambda_28_loss: 0.5499\n",
+ "Epoch 310/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2305 - distribution_lambda_26_loss: 2.7546 - distribution_lambda_27_loss: 1.9297 - distribution_lambda_28_loss: 0.5462 - val_loss: 5.1839 - val_distribution_lambda_26_loss: 2.7334 - val_distribution_lambda_27_loss: 1.9007 - val_distribution_lambda_28_loss: 0.5498\n",
+ "Epoch 311/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1935 - distribution_lambda_26_loss: 2.7472 - distribution_lambda_27_loss: 1.9036 - distribution_lambda_28_loss: 0.5427 - val_loss: 5.1793 - val_distribution_lambda_26_loss: 2.7308 - val_distribution_lambda_27_loss: 1.8989 - val_distribution_lambda_28_loss: 0.5497\n",
+ "Epoch 312/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1952 - distribution_lambda_26_loss: 2.7444 - distribution_lambda_27_loss: 1.9100 - distribution_lambda_28_loss: 0.5408 - val_loss: 5.1747 - val_distribution_lambda_26_loss: 2.7281 - val_distribution_lambda_27_loss: 1.8970 - val_distribution_lambda_28_loss: 0.5496\n",
+ "Epoch 313/2500\n"
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+ "Epoch 314/2500\n",
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+ "Epoch 316/2500\n",
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+ "Epoch 317/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 5.1782 - distribution_lambda_26_loss: 2.7311 - distribution_lambda_27_loss: 1.9018 - distribution_lambda_28_loss: 0.5452 - val_loss: 5.1518 - val_distribution_lambda_26_loss: 2.7145 - val_distribution_lambda_27_loss: 1.8879 - val_distribution_lambda_28_loss: 0.5494\n",
+ "Epoch 318/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.2114 - distribution_lambda_26_loss: 2.7300 - distribution_lambda_27_loss: 1.9336 - distribution_lambda_28_loss: 0.5478 - val_loss: 5.1475 - val_distribution_lambda_26_loss: 2.7117 - val_distribution_lambda_27_loss: 1.8864 - val_distribution_lambda_28_loss: 0.5494\n",
+ "Epoch 319/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1867 - distribution_lambda_26_loss: 2.7282 - distribution_lambda_27_loss: 1.9174 - distribution_lambda_28_loss: 0.5412 - val_loss: 5.1429 - val_distribution_lambda_26_loss: 2.7089 - val_distribution_lambda_27_loss: 1.8848 - val_distribution_lambda_28_loss: 0.5492\n",
+ "Epoch 320/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1778 - distribution_lambda_26_loss: 2.7241 - distribution_lambda_27_loss: 1.9144 - distribution_lambda_28_loss: 0.5394 - val_loss: 5.1382 - val_distribution_lambda_26_loss: 2.7061 - val_distribution_lambda_27_loss: 1.8831 - val_distribution_lambda_28_loss: 0.5490\n",
+ "Epoch 321/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1689 - distribution_lambda_26_loss: 2.7208 - distribution_lambda_27_loss: 1.9052 - distribution_lambda_28_loss: 0.5429 - val_loss: 5.1337 - val_distribution_lambda_26_loss: 2.7033 - val_distribution_lambda_27_loss: 1.8815 - val_distribution_lambda_28_loss: 0.5489\n",
+ "Epoch 322/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1701 - distribution_lambda_26_loss: 2.7159 - distribution_lambda_27_loss: 1.9095 - distribution_lambda_28_loss: 0.5448 - val_loss: 5.1292 - val_distribution_lambda_26_loss: 2.7005 - val_distribution_lambda_27_loss: 1.8799 - val_distribution_lambda_28_loss: 0.5488\n",
+ "Epoch 323/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1761 - distribution_lambda_26_loss: 2.7182 - distribution_lambda_27_loss: 1.9170 - distribution_lambda_28_loss: 0.5409 - val_loss: 5.1244 - val_distribution_lambda_26_loss: 2.6976 - val_distribution_lambda_27_loss: 1.8780 - val_distribution_lambda_28_loss: 0.5488\n",
+ "Epoch 324/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.1731 - distribution_lambda_26_loss: 2.7134 - distribution_lambda_27_loss: 1.9131 - distribution_lambda_28_loss: 0.5466 - val_loss: 5.1196 - val_distribution_lambda_26_loss: 2.6948 - val_distribution_lambda_27_loss: 1.8761 - val_distribution_lambda_28_loss: 0.5488\n",
+ "Epoch 325/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1464 - distribution_lambda_26_loss: 2.7142 - distribution_lambda_27_loss: 1.8917 - distribution_lambda_28_loss: 0.5405 - val_loss: 5.1150 - val_distribution_lambda_26_loss: 2.6919 - val_distribution_lambda_27_loss: 1.8744 - val_distribution_lambda_28_loss: 0.5486\n",
+ "Epoch 326/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1687 - distribution_lambda_26_loss: 2.7093 - distribution_lambda_27_loss: 1.9153 - distribution_lambda_28_loss: 0.5440 - val_loss: 5.1105 - val_distribution_lambda_26_loss: 2.6890 - val_distribution_lambda_27_loss: 1.8729 - val_distribution_lambda_28_loss: 0.5486\n",
+ "Epoch 327/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.1532 - distribution_lambda_26_loss: 2.7032 - distribution_lambda_27_loss: 1.9081 - distribution_lambda_28_loss: 0.5419 - val_loss: 5.1055 - val_distribution_lambda_26_loss: 2.6861 - val_distribution_lambda_27_loss: 1.8711 - val_distribution_lambda_28_loss: 0.5483\n",
+ "Epoch 328/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1426 - distribution_lambda_26_loss: 2.6988 - distribution_lambda_27_loss: 1.9018 - distribution_lambda_28_loss: 0.5421 - val_loss: 5.1005 - val_distribution_lambda_26_loss: 2.6832 - val_distribution_lambda_27_loss: 1.8693 - val_distribution_lambda_28_loss: 0.5480\n",
+ "Epoch 329/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1305 - distribution_lambda_26_loss: 2.6991 - distribution_lambda_27_loss: 1.8890 - distribution_lambda_28_loss: 0.5425 - val_loss: 5.0958 - val_distribution_lambda_26_loss: 2.6802 - val_distribution_lambda_27_loss: 1.8676 - val_distribution_lambda_28_loss: 0.5479\n",
+ "Epoch 330/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1289 - distribution_lambda_26_loss: 2.6955 - distribution_lambda_27_loss: 1.8885 - distribution_lambda_28_loss: 0.5449 - val_loss: 5.0911 - val_distribution_lambda_26_loss: 2.6773 - val_distribution_lambda_27_loss: 1.8660 - val_distribution_lambda_28_loss: 0.5478\n",
+ "Epoch 331/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1341 - distribution_lambda_26_loss: 2.6923 - distribution_lambda_27_loss: 1.8993 - distribution_lambda_28_loss: 0.5425 - val_loss: 5.0865 - val_distribution_lambda_26_loss: 2.6743 - val_distribution_lambda_27_loss: 1.8644 - val_distribution_lambda_28_loss: 0.5478\n",
+ "Epoch 332/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1192 - distribution_lambda_26_loss: 2.6901 - distribution_lambda_27_loss: 1.8890 - distribution_lambda_28_loss: 0.5401 - val_loss: 5.0817 - val_distribution_lambda_26_loss: 2.6713 - val_distribution_lambda_27_loss: 1.8628 - val_distribution_lambda_28_loss: 0.5476\n",
+ "Epoch 333/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1263 - distribution_lambda_26_loss: 2.6908 - distribution_lambda_27_loss: 1.8950 - distribution_lambda_28_loss: 0.5405 - val_loss: 5.0773 - val_distribution_lambda_26_loss: 2.6683 - val_distribution_lambda_27_loss: 1.8617 - val_distribution_lambda_28_loss: 0.5474\n",
+ "Epoch 334/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1177 - distribution_lambda_26_loss: 2.6833 - distribution_lambda_27_loss: 1.8909 - distribution_lambda_28_loss: 0.5434 - val_loss: 5.0729 - val_distribution_lambda_26_loss: 2.6652 - val_distribution_lambda_27_loss: 1.8604 - val_distribution_lambda_28_loss: 0.5473\n",
+ "Epoch 335/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.0959 - distribution_lambda_26_loss: 2.6794 - distribution_lambda_27_loss: 1.8705 - distribution_lambda_28_loss: 0.5460 - val_loss: 5.0681 - val_distribution_lambda_26_loss: 2.6622 - val_distribution_lambda_27_loss: 1.8589 - val_distribution_lambda_28_loss: 0.5471\n",
+ "Epoch 336/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 5.1345 - distribution_lambda_26_loss: 2.6786 - distribution_lambda_27_loss: 1.9136 - distribution_lambda_28_loss: 0.5424 - val_loss: 5.0637 - val_distribution_lambda_26_loss: 2.6591 - val_distribution_lambda_27_loss: 1.8576 - val_distribution_lambda_28_loss: 0.5470\n",
+ "Epoch 337/2500\n"
+ ]
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+ "text": [
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+ "Epoch 338/2500\n",
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+ "Epoch 342/2500\n",
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+ "Epoch 343/2500\n",
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+ "Epoch 345/2500\n",
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+ "Epoch 346/2500\n",
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+ "Epoch 347/2500\n",
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+ "Epoch 348/2500\n",
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+ "Epoch 349/2500\n",
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+ "Epoch 351/2500\n",
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+ "Epoch 352/2500\n",
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+ "Epoch 353/2500\n",
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+ "Epoch 354/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 5.0416 - distribution_lambda_26_loss: 2.6208 - distribution_lambda_27_loss: 1.8726 - distribution_lambda_28_loss: 0.5482 - val_loss: 4.9758 - val_distribution_lambda_26_loss: 2.6006 - val_distribution_lambda_27_loss: 1.8307 - val_distribution_lambda_28_loss: 0.5445\n",
+ "Epoch 355/2500\n",
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+ "Epoch 356/2500\n",
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+ "Epoch 357/2500\n",
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+ "Epoch 358/2500\n",
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+ "Epoch 359/2500\n",
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+ "Epoch 360/2500\n",
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+ "Epoch 361/2500\n"
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+ "Epoch 369/2500\n",
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+ "Epoch 370/2500\n",
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+ "Epoch 371/2500\n",
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+ "Epoch 372/2500\n",
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+ "Epoch 374/2500\n",
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+ "Epoch 375/2500\n",
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+ "Epoch 376/2500\n",
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+ "Epoch 377/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.8994 - distribution_lambda_26_loss: 2.5318 - distribution_lambda_27_loss: 1.8297 - distribution_lambda_28_loss: 0.5378 - val_loss: 4.8561 - val_distribution_lambda_26_loss: 2.5157 - val_distribution_lambda_27_loss: 1.7996 - val_distribution_lambda_28_loss: 0.5408\n",
+ "Epoch 378/2500\n",
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+ "Epoch 379/2500\n",
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+ "Epoch 380/2500\n",
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+ "Epoch 381/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.8701 - distribution_lambda_26_loss: 2.5178 - distribution_lambda_27_loss: 1.8137 - distribution_lambda_28_loss: 0.5386 - val_loss: 4.8345 - val_distribution_lambda_26_loss: 2.4996 - val_distribution_lambda_27_loss: 1.7948 - val_distribution_lambda_28_loss: 0.5401\n",
+ "Epoch 382/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.8731 - distribution_lambda_26_loss: 2.5150 - distribution_lambda_27_loss: 1.8150 - distribution_lambda_28_loss: 0.5431 - val_loss: 4.8289 - val_distribution_lambda_26_loss: 2.4955 - val_distribution_lambda_27_loss: 1.7934 - val_distribution_lambda_28_loss: 0.5400\n",
+ "Epoch 383/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.8721 - distribution_lambda_26_loss: 2.5105 - distribution_lambda_27_loss: 1.8221 - distribution_lambda_28_loss: 0.5394 - val_loss: 4.8232 - val_distribution_lambda_26_loss: 2.4914 - val_distribution_lambda_27_loss: 1.7920 - val_distribution_lambda_28_loss: 0.5398\n",
+ "Epoch 384/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 4.8660 - distribution_lambda_26_loss: 2.5057 - distribution_lambda_27_loss: 1.8234 - distribution_lambda_28_loss: 0.5370 - val_loss: 4.8177 - val_distribution_lambda_26_loss: 2.4872 - val_distribution_lambda_27_loss: 1.7909 - val_distribution_lambda_28_loss: 0.5396\n",
+ "Epoch 385/2500\n"
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+ "Epoch 393/2500\n",
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+ "Epoch 394/2500\n",
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+ "Epoch 395/2500\n",
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+ "Epoch 396/2500\n",
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+ "Epoch 397/2500\n",
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+ "Epoch 398/2500\n",
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+ "Epoch 399/2500\n",
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+ "Epoch 400/2500\n",
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+ "Epoch 401/2500\n",
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+ "Epoch 402/2500\n",
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+ "Epoch 403/2500\n",
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+ "Epoch 404/2500\n",
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+ "Epoch 405/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.7490 - distribution_lambda_26_loss: 2.4133 - distribution_lambda_27_loss: 1.8001 - distribution_lambda_28_loss: 0.5356 - val_loss: 4.6966 - val_distribution_lambda_26_loss: 2.3941 - val_distribution_lambda_27_loss: 1.7660 - val_distribution_lambda_28_loss: 0.5365\n",
+ "Epoch 406/2500\n",
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+ "Epoch 407/2500\n",
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+ "Epoch 408/2500\n",
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+ "Epoch 409/2500\n"
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+ "Epoch 418/2500\n",
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+ "Epoch 419/2500\n",
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+ "Epoch 420/2500\n",
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+ "Epoch 421/2500\n",
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+ "Epoch 422/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.6475 - distribution_lambda_26_loss: 2.3300 - distribution_lambda_27_loss: 1.7871 - distribution_lambda_28_loss: 0.5304 - val_loss: 4.5894 - val_distribution_lambda_26_loss: 2.3097 - val_distribution_lambda_27_loss: 1.7449 - val_distribution_lambda_28_loss: 0.5348\n",
+ "Epoch 423/2500\n",
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+ "Epoch 424/2500\n",
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+ "Epoch 425/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.6128 - distribution_lambda_26_loss: 2.3127 - distribution_lambda_27_loss: 1.7682 - distribution_lambda_28_loss: 0.5318 - val_loss: 4.5692 - val_distribution_lambda_26_loss: 2.2939 - val_distribution_lambda_27_loss: 1.7409 - val_distribution_lambda_28_loss: 0.5344\n",
+ "Epoch 426/2500\n",
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+ "Epoch 427/2500\n",
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+ "Epoch 428/2500\n",
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+ "Epoch 429/2500\n",
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+ "Epoch 430/2500\n",
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+ "Epoch 431/2500\n",
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+ "Epoch 432/2500\n",
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+ "Epoch 433/2500\n"
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+ "Epoch 438/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5345 - distribution_lambda_26_loss: 2.2401 - distribution_lambda_27_loss: 1.7645 - distribution_lambda_28_loss: 0.5299 - val_loss: 4.4809 - val_distribution_lambda_26_loss: 2.2228 - val_distribution_lambda_27_loss: 1.7249 - val_distribution_lambda_28_loss: 0.5333\n",
+ "Epoch 439/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5094 - distribution_lambda_26_loss: 2.2349 - distribution_lambda_27_loss: 1.7487 - distribution_lambda_28_loss: 0.5257 - val_loss: 4.4738 - val_distribution_lambda_26_loss: 2.2172 - val_distribution_lambda_27_loss: 1.7236 - val_distribution_lambda_28_loss: 0.5331\n",
+ "Epoch 440/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5321 - distribution_lambda_26_loss: 2.2308 - distribution_lambda_27_loss: 1.7710 - distribution_lambda_28_loss: 0.5303 - val_loss: 4.4665 - val_distribution_lambda_26_loss: 2.2115 - val_distribution_lambda_27_loss: 1.7221 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 441/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.5177 - distribution_lambda_26_loss: 2.2263 - distribution_lambda_27_loss: 1.7611 - distribution_lambda_28_loss: 0.5303 - val_loss: 4.4601 - val_distribution_lambda_26_loss: 2.2058 - val_distribution_lambda_27_loss: 1.7214 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 442/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.5094 - distribution_lambda_26_loss: 2.2190 - distribution_lambda_27_loss: 1.7587 - distribution_lambda_28_loss: 0.5317 - val_loss: 4.4528 - val_distribution_lambda_26_loss: 2.2000 - val_distribution_lambda_27_loss: 1.7197 - val_distribution_lambda_28_loss: 0.5331\n",
+ "Epoch 443/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.5032 - distribution_lambda_26_loss: 2.2137 - distribution_lambda_27_loss: 1.7636 - distribution_lambda_28_loss: 0.5260 - val_loss: 4.4452 - val_distribution_lambda_26_loss: 2.1943 - val_distribution_lambda_27_loss: 1.7180 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 444/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4962 - distribution_lambda_26_loss: 2.2068 - distribution_lambda_27_loss: 1.7546 - distribution_lambda_28_loss: 0.5348 - val_loss: 4.4380 - val_distribution_lambda_26_loss: 2.1885 - val_distribution_lambda_27_loss: 1.7166 - val_distribution_lambda_28_loss: 0.5330\n",
+ "Epoch 445/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4527 - distribution_lambda_26_loss: 2.2011 - distribution_lambda_27_loss: 1.7241 - distribution_lambda_28_loss: 0.5276 - val_loss: 4.4309 - val_distribution_lambda_26_loss: 2.1827 - val_distribution_lambda_27_loss: 1.7153 - val_distribution_lambda_28_loss: 0.5329\n",
+ "Epoch 446/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4635 - distribution_lambda_26_loss: 2.1961 - distribution_lambda_27_loss: 1.7393 - distribution_lambda_28_loss: 0.5281 - val_loss: 4.4237 - val_distribution_lambda_26_loss: 2.1768 - val_distribution_lambda_27_loss: 1.7140 - val_distribution_lambda_28_loss: 0.5329\n",
+ "Epoch 447/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4765 - distribution_lambda_26_loss: 2.1903 - distribution_lambda_27_loss: 1.7525 - distribution_lambda_28_loss: 0.5337 - val_loss: 4.4166 - val_distribution_lambda_26_loss: 2.1710 - val_distribution_lambda_27_loss: 1.7128 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 448/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4802 - distribution_lambda_26_loss: 2.1864 - distribution_lambda_27_loss: 1.7641 - distribution_lambda_28_loss: 0.5297 - val_loss: 4.4094 - val_distribution_lambda_26_loss: 2.1651 - val_distribution_lambda_27_loss: 1.7115 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 449/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4600 - distribution_lambda_26_loss: 2.1774 - distribution_lambda_27_loss: 1.7492 - distribution_lambda_28_loss: 0.5334 - val_loss: 4.4021 - val_distribution_lambda_26_loss: 2.1592 - val_distribution_lambda_27_loss: 1.7102 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 450/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4401 - distribution_lambda_26_loss: 2.1730 - distribution_lambda_27_loss: 1.7439 - distribution_lambda_28_loss: 0.5231 - val_loss: 4.3947 - val_distribution_lambda_26_loss: 2.1532 - val_distribution_lambda_27_loss: 1.7089 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 451/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4304 - distribution_lambda_26_loss: 2.1650 - distribution_lambda_27_loss: 1.7410 - distribution_lambda_28_loss: 0.5244 - val_loss: 4.3873 - val_distribution_lambda_26_loss: 2.1473 - val_distribution_lambda_27_loss: 1.7074 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 452/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.4628 - distribution_lambda_26_loss: 2.1640 - distribution_lambda_27_loss: 1.7653 - distribution_lambda_28_loss: 0.5335 - val_loss: 4.3802 - val_distribution_lambda_26_loss: 2.1413 - val_distribution_lambda_27_loss: 1.7062 - val_distribution_lambda_28_loss: 0.5327\n",
+ "Epoch 453/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4238 - distribution_lambda_26_loss: 2.1551 - distribution_lambda_27_loss: 1.7499 - distribution_lambda_28_loss: 0.5188 - val_loss: 4.3723 - val_distribution_lambda_26_loss: 2.1353 - val_distribution_lambda_27_loss: 1.7043 - val_distribution_lambda_28_loss: 0.5327\n",
+ "Epoch 454/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.3983 - distribution_lambda_26_loss: 2.1490 - distribution_lambda_27_loss: 1.7248 - distribution_lambda_28_loss: 0.5246 - val_loss: 4.3646 - val_distribution_lambda_26_loss: 2.1292 - val_distribution_lambda_27_loss: 1.7026 - val_distribution_lambda_28_loss: 0.5328\n",
+ "Epoch 455/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3877 - distribution_lambda_26_loss: 2.1420 - distribution_lambda_27_loss: 1.7231 - distribution_lambda_28_loss: 0.5227 - val_loss: 4.3568 - val_distribution_lambda_26_loss: 2.1232 - val_distribution_lambda_27_loss: 1.7010 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 456/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.4004 - distribution_lambda_26_loss: 2.1380 - distribution_lambda_27_loss: 1.7312 - distribution_lambda_28_loss: 0.5312 - val_loss: 4.3490 - val_distribution_lambda_26_loss: 2.1171 - val_distribution_lambda_27_loss: 1.6994 - val_distribution_lambda_28_loss: 0.5325\n",
+ "Epoch 457/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
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+ "Epoch 458/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.3890 - distribution_lambda_26_loss: 2.1236 - distribution_lambda_27_loss: 1.7370 - distribution_lambda_28_loss: 0.5284 - val_loss: 4.3346 - val_distribution_lambda_26_loss: 2.1048 - val_distribution_lambda_27_loss: 1.6972 - val_distribution_lambda_28_loss: 0.5326\n",
+ "Epoch 459/2500\n",
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+ "Epoch 460/2500\n",
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+ "Epoch 461/2500\n",
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+ "Epoch 462/2500\n",
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+ "Epoch 463/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3477 - distribution_lambda_26_loss: 2.0933 - distribution_lambda_27_loss: 1.7221 - distribution_lambda_28_loss: 0.5323 - val_loss: 4.2963 - val_distribution_lambda_26_loss: 2.0738 - val_distribution_lambda_27_loss: 1.6903 - val_distribution_lambda_28_loss: 0.5322\n",
+ "Epoch 464/2500\n",
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+ "Epoch 465/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3115 - distribution_lambda_26_loss: 2.0819 - distribution_lambda_27_loss: 1.7042 - distribution_lambda_28_loss: 0.5254 - val_loss: 4.2805 - val_distribution_lambda_26_loss: 2.0613 - val_distribution_lambda_27_loss: 1.6871 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 466/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3241 - distribution_lambda_26_loss: 2.0734 - distribution_lambda_27_loss: 1.7197 - distribution_lambda_28_loss: 0.5311 - val_loss: 4.2727 - val_distribution_lambda_26_loss: 2.0550 - val_distribution_lambda_27_loss: 1.6856 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 467/2500\n",
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+ "Epoch 468/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.3123 - distribution_lambda_26_loss: 2.0610 - distribution_lambda_27_loss: 1.7297 - distribution_lambda_28_loss: 0.5217 - val_loss: 4.2575 - val_distribution_lambda_26_loss: 2.0423 - val_distribution_lambda_27_loss: 1.6831 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 469/2500\n",
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+ "Epoch 470/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2991 - distribution_lambda_26_loss: 2.0487 - distribution_lambda_27_loss: 1.7185 - distribution_lambda_28_loss: 0.5319 - val_loss: 4.2422 - val_distribution_lambda_26_loss: 2.0295 - val_distribution_lambda_27_loss: 1.6806 - val_distribution_lambda_28_loss: 0.5322\n",
+ "Epoch 471/2500\n",
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+ "Epoch 472/2500\n",
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+ "Epoch 473/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2610 - distribution_lambda_26_loss: 2.0294 - distribution_lambda_27_loss: 1.7055 - distribution_lambda_28_loss: 0.5261 - val_loss: 4.2181 - val_distribution_lambda_26_loss: 2.0102 - val_distribution_lambda_27_loss: 1.6758 - val_distribution_lambda_28_loss: 0.5320\n",
+ "Epoch 474/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2583 - distribution_lambda_26_loss: 2.0230 - distribution_lambda_27_loss: 1.7060 - distribution_lambda_28_loss: 0.5293 - val_loss: 4.2102 - val_distribution_lambda_26_loss: 2.0037 - val_distribution_lambda_27_loss: 1.6744 - val_distribution_lambda_28_loss: 0.5320\n",
+ "Epoch 475/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2467 - distribution_lambda_26_loss: 2.0170 - distribution_lambda_27_loss: 1.7049 - distribution_lambda_28_loss: 0.5248 - val_loss: 4.2023 - val_distribution_lambda_26_loss: 1.9972 - val_distribution_lambda_27_loss: 1.6730 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 476/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2343 - distribution_lambda_26_loss: 2.0099 - distribution_lambda_27_loss: 1.6990 - distribution_lambda_28_loss: 0.5253 - val_loss: 4.1944 - val_distribution_lambda_26_loss: 1.9907 - val_distribution_lambda_27_loss: 1.6716 - val_distribution_lambda_28_loss: 0.5321\n",
+ "Epoch 477/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2142 - distribution_lambda_26_loss: 2.0026 - distribution_lambda_27_loss: 1.6882 - distribution_lambda_28_loss: 0.5234 - val_loss: 4.1862 - val_distribution_lambda_26_loss: 1.9842 - val_distribution_lambda_27_loss: 1.6698 - val_distribution_lambda_28_loss: 0.5322\n",
+ "Epoch 478/2500\n",
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+ "Epoch 479/2500\n",
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+ "Epoch 480/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.2024 - distribution_lambda_26_loss: 1.9831 - distribution_lambda_27_loss: 1.6898 - distribution_lambda_28_loss: 0.5294 - val_loss: 4.1624 - val_distribution_lambda_26_loss: 1.9645 - val_distribution_lambda_27_loss: 1.6656 - val_distribution_lambda_28_loss: 0.5323\n",
+ "Epoch 481/2500\n"
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+ "Epoch 482/2500\n",
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+ "Epoch 483/2500\n",
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+ "Epoch 484/2500\n",
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+ "Epoch 485/2500\n",
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+ "Epoch 486/2500\n",
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+ "Epoch 487/2500\n",
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+ "Epoch 488/2500\n",
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+ "Epoch 489/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1147 - distribution_lambda_26_loss: 1.9233 - distribution_lambda_27_loss: 1.6712 - distribution_lambda_28_loss: 0.5203 - val_loss: 4.0876 - val_distribution_lambda_26_loss: 1.9043 - val_distribution_lambda_27_loss: 1.6515 - val_distribution_lambda_28_loss: 0.5318\n",
+ "Epoch 490/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1142 - distribution_lambda_26_loss: 1.9163 - distribution_lambda_27_loss: 1.6824 - distribution_lambda_28_loss: 0.5155 - val_loss: 4.0793 - val_distribution_lambda_26_loss: 1.8976 - val_distribution_lambda_27_loss: 1.6500 - val_distribution_lambda_28_loss: 0.5317\n",
+ "Epoch 491/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1075 - distribution_lambda_26_loss: 1.9092 - distribution_lambda_27_loss: 1.6729 - distribution_lambda_28_loss: 0.5254 - val_loss: 4.0710 - val_distribution_lambda_26_loss: 1.8908 - val_distribution_lambda_27_loss: 1.6487 - val_distribution_lambda_28_loss: 0.5315\n",
+ "Epoch 492/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.1042 - distribution_lambda_26_loss: 1.9047 - distribution_lambda_27_loss: 1.6813 - distribution_lambda_28_loss: 0.5181 - val_loss: 4.0628 - val_distribution_lambda_26_loss: 1.8840 - val_distribution_lambda_27_loss: 1.6472 - val_distribution_lambda_28_loss: 0.5316\n",
+ "Epoch 493/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0889 - distribution_lambda_26_loss: 1.8972 - distribution_lambda_27_loss: 1.6702 - distribution_lambda_28_loss: 0.5215 - val_loss: 4.0547 - val_distribution_lambda_26_loss: 1.8772 - val_distribution_lambda_27_loss: 1.6461 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 494/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.1028 - distribution_lambda_26_loss: 1.8921 - distribution_lambda_27_loss: 1.6886 - distribution_lambda_28_loss: 0.5220 - val_loss: 4.0468 - val_distribution_lambda_26_loss: 1.8703 - val_distribution_lambda_27_loss: 1.6451 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 495/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 4.0693 - distribution_lambda_26_loss: 1.8829 - distribution_lambda_27_loss: 1.6642 - distribution_lambda_28_loss: 0.5222 - val_loss: 4.0388 - val_distribution_lambda_26_loss: 1.8635 - val_distribution_lambda_27_loss: 1.6438 - val_distribution_lambda_28_loss: 0.5315\n",
+ "Epoch 496/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0724 - distribution_lambda_26_loss: 1.8746 - distribution_lambda_27_loss: 1.6727 - distribution_lambda_28_loss: 0.5251 - val_loss: 4.0311 - val_distribution_lambda_26_loss: 1.8566 - val_distribution_lambda_27_loss: 1.6429 - val_distribution_lambda_28_loss: 0.5315\n",
+ "Epoch 497/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0608 - distribution_lambda_26_loss: 1.8689 - distribution_lambda_27_loss: 1.6681 - distribution_lambda_28_loss: 0.5238 - val_loss: 4.0230 - val_distribution_lambda_26_loss: 1.8498 - val_distribution_lambda_27_loss: 1.6418 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 498/2500\n",
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+ "Epoch 499/2500\n",
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+ "Epoch 500/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0335 - distribution_lambda_26_loss: 1.8484 - distribution_lambda_27_loss: 1.6629 - distribution_lambda_28_loss: 0.5223 - val_loss: 3.9983 - val_distribution_lambda_26_loss: 1.8290 - val_distribution_lambda_27_loss: 1.6378 - val_distribution_lambda_28_loss: 0.5314\n",
+ "Epoch 501/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0318 - distribution_lambda_26_loss: 1.8404 - distribution_lambda_27_loss: 1.6713 - distribution_lambda_28_loss: 0.5201 - val_loss: 3.9894 - val_distribution_lambda_26_loss: 1.8221 - val_distribution_lambda_27_loss: 1.6362 - val_distribution_lambda_28_loss: 0.5311\n",
+ "Epoch 502/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0309 - distribution_lambda_26_loss: 1.8351 - distribution_lambda_27_loss: 1.6706 - distribution_lambda_28_loss: 0.5252 - val_loss: 3.9810 - val_distribution_lambda_26_loss: 1.8152 - val_distribution_lambda_27_loss: 1.6348 - val_distribution_lambda_28_loss: 0.5310\n",
+ "Epoch 503/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0240 - distribution_lambda_26_loss: 1.8271 - distribution_lambda_27_loss: 1.6739 - distribution_lambda_28_loss: 0.5229 - val_loss: 3.9728 - val_distribution_lambda_26_loss: 1.8082 - val_distribution_lambda_27_loss: 1.6338 - val_distribution_lambda_28_loss: 0.5309\n",
+ "Epoch 504/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 4.0048 - distribution_lambda_26_loss: 1.8215 - distribution_lambda_27_loss: 1.6624 - distribution_lambda_28_loss: 0.5209 - val_loss: 3.9649 - val_distribution_lambda_26_loss: 1.8012 - val_distribution_lambda_27_loss: 1.6328 - val_distribution_lambda_28_loss: 0.5308\n",
+ "Epoch 505/2500\n"
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+ "Epoch 511/2500\n",
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+ "Epoch 513/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.9157 - distribution_lambda_26_loss: 1.7549 - distribution_lambda_27_loss: 1.6427 - distribution_lambda_28_loss: 0.5181 - val_loss: 3.8907 - val_distribution_lambda_26_loss: 1.7380 - val_distribution_lambda_27_loss: 1.6232 - val_distribution_lambda_28_loss: 0.5295\n",
+ "Epoch 514/2500\n",
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+ "Epoch 515/2500\n",
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+ "Epoch 516/2500\n",
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+ "Epoch 517/2500\n",
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+ "Epoch 518/2500\n",
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+ "Epoch 519/2500\n",
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+ "Epoch 520/2500\n",
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+ "Epoch 521/2500\n",
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+ "Epoch 522/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 3.8455 - distribution_lambda_26_loss: 1.6907 - distribution_lambda_27_loss: 1.6368 - distribution_lambda_28_loss: 0.5180 - val_loss: 3.8170 - val_distribution_lambda_26_loss: 1.6743 - val_distribution_lambda_27_loss: 1.6145 - val_distribution_lambda_28_loss: 0.5281\n",
+ "Epoch 523/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.8343 - distribution_lambda_26_loss: 1.6828 - distribution_lambda_27_loss: 1.6372 - distribution_lambda_28_loss: 0.5143 - val_loss: 3.8088 - val_distribution_lambda_26_loss: 1.6673 - val_distribution_lambda_27_loss: 1.6137 - val_distribution_lambda_28_loss: 0.5279\n",
+ "Epoch 524/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.8342 - distribution_lambda_26_loss: 1.6766 - distribution_lambda_27_loss: 1.6415 - distribution_lambda_28_loss: 0.5162 - val_loss: 3.8008 - val_distribution_lambda_26_loss: 1.6602 - val_distribution_lambda_27_loss: 1.6129 - val_distribution_lambda_28_loss: 0.5277\n",
+ "Epoch 525/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.8395 - distribution_lambda_26_loss: 1.6698 - distribution_lambda_27_loss: 1.6455 - distribution_lambda_28_loss: 0.5241 - val_loss: 3.7927 - val_distribution_lambda_26_loss: 1.6531 - val_distribution_lambda_27_loss: 1.6119 - val_distribution_lambda_28_loss: 0.5277\n",
+ "Epoch 526/2500\n",
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+ "Epoch 527/2500\n",
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+ "Epoch 528/2500\n",
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+ "Epoch 529/2500\n"
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+ "Epoch 534/2500\n",
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+ "Epoch 536/2500\n",
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+ "Epoch 537/2500\n",
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+ "Epoch 538/2500\n",
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+ "Epoch 539/2500\n",
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+ "Epoch 540/2500\n",
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+ "Epoch 541/2500\n",
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+ "Epoch 542/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6885 - distribution_lambda_26_loss: 1.5446 - distribution_lambda_27_loss: 1.6284 - distribution_lambda_28_loss: 0.5155 - val_loss: 3.6560 - val_distribution_lambda_26_loss: 1.5330 - val_distribution_lambda_27_loss: 1.5975 - val_distribution_lambda_28_loss: 0.5255\n",
+ "Epoch 543/2500\n",
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+ "Epoch 544/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6635 - distribution_lambda_26_loss: 1.5300 - distribution_lambda_27_loss: 1.6167 - distribution_lambda_28_loss: 0.5167 - val_loss: 3.6397 - val_distribution_lambda_26_loss: 1.5185 - val_distribution_lambda_27_loss: 1.5964 - val_distribution_lambda_28_loss: 0.5248\n",
+ "Epoch 545/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6638 - distribution_lambda_26_loss: 1.5233 - distribution_lambda_27_loss: 1.6263 - distribution_lambda_28_loss: 0.5142 - val_loss: 3.6314 - val_distribution_lambda_26_loss: 1.5110 - val_distribution_lambda_27_loss: 1.5957 - val_distribution_lambda_28_loss: 0.5246\n",
+ "Epoch 546/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6467 - distribution_lambda_26_loss: 1.5142 - distribution_lambda_27_loss: 1.6183 - distribution_lambda_28_loss: 0.5142 - val_loss: 3.6229 - val_distribution_lambda_26_loss: 1.5035 - val_distribution_lambda_27_loss: 1.5951 - val_distribution_lambda_28_loss: 0.5242\n",
+ "Epoch 547/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6405 - distribution_lambda_26_loss: 1.5073 - distribution_lambda_27_loss: 1.6142 - distribution_lambda_28_loss: 0.5190 - val_loss: 3.6142 - val_distribution_lambda_26_loss: 1.4957 - val_distribution_lambda_27_loss: 1.5942 - val_distribution_lambda_28_loss: 0.5243\n",
+ "Epoch 548/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6244 - distribution_lambda_26_loss: 1.4968 - distribution_lambda_27_loss: 1.6124 - distribution_lambda_28_loss: 0.5151 - val_loss: 3.6055 - val_distribution_lambda_26_loss: 1.4877 - val_distribution_lambda_27_loss: 1.5936 - val_distribution_lambda_28_loss: 0.5242\n",
+ "Epoch 549/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.6162 - distribution_lambda_26_loss: 1.4882 - distribution_lambda_27_loss: 1.6111 - distribution_lambda_28_loss: 0.5169 - val_loss: 3.5965 - val_distribution_lambda_26_loss: 1.4792 - val_distribution_lambda_27_loss: 1.5934 - val_distribution_lambda_28_loss: 0.5239\n",
+ "Epoch 550/2500\n",
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+ "Epoch 551/2500\n",
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+ "Epoch 552/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.5721 - distribution_lambda_26_loss: 1.4605 - distribution_lambda_27_loss: 1.6004 - distribution_lambda_28_loss: 0.5112 - val_loss: 3.5652 - val_distribution_lambda_26_loss: 1.4499 - val_distribution_lambda_27_loss: 1.5918 - val_distribution_lambda_28_loss: 0.5235\n",
+ "Epoch 553/2500\n"
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+ "Epoch 557/2500\n",
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+ "Epoch 558/2500\n",
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+ "Epoch 559/2500\n",
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+ "Epoch 560/2500\n",
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+ "Epoch 561/2500\n",
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+ "Epoch 562/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.4564 - distribution_lambda_26_loss: 1.3404 - distribution_lambda_27_loss: 1.6019 - distribution_lambda_28_loss: 0.5141 - val_loss: 3.4472 - val_distribution_lambda_26_loss: 1.3398 - val_distribution_lambda_27_loss: 1.5854 - val_distribution_lambda_28_loss: 0.5220\n",
+ "Epoch 563/2500\n",
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+ "Epoch 564/2500\n",
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+ "Epoch 565/2500\n",
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+ "Epoch 566/2500\n",
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+ "Epoch 567/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.4069 - distribution_lambda_26_loss: 1.2888 - distribution_lambda_27_loss: 1.6055 - distribution_lambda_28_loss: 0.5126 - val_loss: 3.4004 - val_distribution_lambda_26_loss: 1.2977 - val_distribution_lambda_27_loss: 1.5819 - val_distribution_lambda_28_loss: 0.5209\n",
+ "Epoch 568/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3927 - distribution_lambda_26_loss: 1.2802 - distribution_lambda_27_loss: 1.6030 - distribution_lambda_28_loss: 0.5095 - val_loss: 3.3927 - val_distribution_lambda_26_loss: 1.2905 - val_distribution_lambda_27_loss: 1.5817 - val_distribution_lambda_28_loss: 0.5205\n",
+ "Epoch 569/2500\n",
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+ "Epoch 570/2500\n",
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+ "Epoch 571/2500\n",
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+ "Epoch 572/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3369 - distribution_lambda_26_loss: 1.2428 - distribution_lambda_27_loss: 1.5855 - distribution_lambda_28_loss: 0.5085 - val_loss: 3.3637 - val_distribution_lambda_26_loss: 1.2632 - val_distribution_lambda_27_loss: 1.5804 - val_distribution_lambda_28_loss: 0.5202\n",
+ "Epoch 573/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3348 - distribution_lambda_26_loss: 1.2381 - distribution_lambda_27_loss: 1.5829 - distribution_lambda_28_loss: 0.5138 - val_loss: 3.3560 - val_distribution_lambda_26_loss: 1.2564 - val_distribution_lambda_27_loss: 1.5796 - val_distribution_lambda_28_loss: 0.5201\n",
+ "Epoch 574/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3420 - distribution_lambda_26_loss: 1.2299 - distribution_lambda_27_loss: 1.5991 - distribution_lambda_28_loss: 0.5130 - val_loss: 3.3490 - val_distribution_lambda_26_loss: 1.2495 - val_distribution_lambda_27_loss: 1.5790 - val_distribution_lambda_28_loss: 0.5205\n",
+ "Epoch 575/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3073 - distribution_lambda_26_loss: 1.2219 - distribution_lambda_27_loss: 1.5796 - distribution_lambda_28_loss: 0.5058 - val_loss: 3.3413 - val_distribution_lambda_26_loss: 1.2428 - val_distribution_lambda_27_loss: 1.5784 - val_distribution_lambda_28_loss: 0.5201\n",
+ "Epoch 576/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 3.3291 - distribution_lambda_26_loss: 1.2137 - distribution_lambda_27_loss: 1.5984 - distribution_lambda_28_loss: 0.5169 - val_loss: 3.3334 - val_distribution_lambda_26_loss: 1.2360 - val_distribution_lambda_27_loss: 1.5775 - val_distribution_lambda_28_loss: 0.5199\n",
+ "Epoch 577/2500\n"
+ ]
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+ "Epoch 585/2500\n",
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+ "Epoch 586/2500\n",
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+ "Epoch 588/2500\n",
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+ "Epoch 589/2500\n",
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+ "Epoch 591/2500\n",
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+ "Epoch 593/2500\n",
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+ "Epoch 594/2500\n",
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+ "Epoch 595/2500\n",
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+ "Epoch 596/2500\n",
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+ "Epoch 597/2500\n",
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+ "Epoch 599/2500\n",
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+ "Epoch 600/2500\n",
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+ "Epoch 601/2500\n"
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+ "Epoch 611/2500\n",
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+ "Epoch 612/2500\n",
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+ "Epoch 614/2500\n",
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+ "Epoch 615/2500\n",
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+ "Epoch 616/2500\n",
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+ "Epoch 617/2500\n",
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+ "Epoch 618/2500\n",
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+ "Epoch 623/2500\n",
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+ "Epoch 624/2500\n",
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+ "Epoch 625/2500\n"
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+ "Epoch 633/2500\n",
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+ "Epoch 642/2500\n",
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+ "Epoch 643/2500\n",
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+ "Epoch 644/2500\n",
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+ "Epoch 645/2500\n",
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+ "Epoch 646/2500\n",
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+ "Epoch 647/2500\n",
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+ "Epoch 648/2500\n",
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+ "Epoch 649/2500\n"
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+ "Epoch 659/2500\n",
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+ "Epoch 660/2500\n",
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+ "Epoch 661/2500\n",
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+ "Epoch 662/2500\n",
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+ "Epoch 663/2500\n",
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+ "Epoch 664/2500\n",
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+ "Epoch 665/2500\n",
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+ "Epoch 666/2500\n",
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+ "Epoch 667/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.8377 - distribution_lambda_26_loss: 0.8217 - distribution_lambda_27_loss: 1.5260 - distribution_lambda_28_loss: 0.4900 - val_loss: 2.9136 - val_distribution_lambda_26_loss: 0.8749 - val_distribution_lambda_27_loss: 1.5378 - val_distribution_lambda_28_loss: 0.5008\n",
+ "Epoch 668/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.8330 - distribution_lambda_26_loss: 0.8222 - distribution_lambda_27_loss: 1.5300 - distribution_lambda_28_loss: 0.4808 - val_loss: 2.9106 - val_distribution_lambda_26_loss: 0.8726 - val_distribution_lambda_27_loss: 1.5372 - val_distribution_lambda_28_loss: 0.5008\n",
+ "Epoch 669/2500\n",
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+ "Epoch 670/2500\n",
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+ "Epoch 671/2500\n",
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+ "Epoch 672/2500\n",
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+ "Epoch 673/2500\n"
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+ "Epoch 677/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7864 - distribution_lambda_26_loss: 0.7913 - distribution_lambda_27_loss: 1.5064 - distribution_lambda_28_loss: 0.4886 - val_loss: 2.8883 - val_distribution_lambda_26_loss: 0.8536 - val_distribution_lambda_27_loss: 1.5341 - val_distribution_lambda_28_loss: 0.5007\n",
+ "Epoch 678/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.8152 - distribution_lambda_26_loss: 0.8038 - distribution_lambda_27_loss: 1.5253 - distribution_lambda_28_loss: 0.4861 - val_loss: 2.8864 - val_distribution_lambda_26_loss: 0.8519 - val_distribution_lambda_27_loss: 1.5345 - val_distribution_lambda_28_loss: 0.4999\n",
+ "Epoch 679/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7932 - distribution_lambda_26_loss: 0.7927 - distribution_lambda_27_loss: 1.5103 - distribution_lambda_28_loss: 0.4902 - val_loss: 2.8826 - val_distribution_lambda_26_loss: 0.8486 - val_distribution_lambda_27_loss: 1.5346 - val_distribution_lambda_28_loss: 0.4994\n",
+ "Epoch 680/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7905 - distribution_lambda_26_loss: 0.7831 - distribution_lambda_27_loss: 1.5149 - distribution_lambda_28_loss: 0.4925 - val_loss: 2.8809 - val_distribution_lambda_26_loss: 0.8469 - val_distribution_lambda_27_loss: 1.5344 - val_distribution_lambda_28_loss: 0.4996\n",
+ "Epoch 681/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7726 - distribution_lambda_26_loss: 0.7912 - distribution_lambda_27_loss: 1.5028 - distribution_lambda_28_loss: 0.4786 - val_loss: 2.8753 - val_distribution_lambda_26_loss: 0.8414 - val_distribution_lambda_27_loss: 1.5339 - val_distribution_lambda_28_loss: 0.5000\n",
+ "Epoch 682/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7718 - distribution_lambda_26_loss: 0.7842 - distribution_lambda_27_loss: 1.5118 - distribution_lambda_28_loss: 0.4758 - val_loss: 2.8681 - val_distribution_lambda_26_loss: 0.8352 - val_distribution_lambda_27_loss: 1.5333 - val_distribution_lambda_28_loss: 0.4995\n",
+ "Epoch 683/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7734 - distribution_lambda_26_loss: 0.7756 - distribution_lambda_27_loss: 1.5114 - distribution_lambda_28_loss: 0.4864 - val_loss: 2.8615 - val_distribution_lambda_26_loss: 0.8296 - val_distribution_lambda_27_loss: 1.5332 - val_distribution_lambda_28_loss: 0.4987\n",
+ "Epoch 684/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7645 - distribution_lambda_26_loss: 0.7787 - distribution_lambda_27_loss: 1.5043 - distribution_lambda_28_loss: 0.4815 - val_loss: 2.8597 - val_distribution_lambda_26_loss: 0.8278 - val_distribution_lambda_27_loss: 1.5332 - val_distribution_lambda_28_loss: 0.4987\n",
+ "Epoch 685/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7587 - distribution_lambda_26_loss: 0.7837 - distribution_lambda_27_loss: 1.4983 - distribution_lambda_28_loss: 0.4767 - val_loss: 2.8574 - val_distribution_lambda_26_loss: 0.8262 - val_distribution_lambda_27_loss: 1.5328 - val_distribution_lambda_28_loss: 0.4985\n",
+ "Epoch 686/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7680 - distribution_lambda_26_loss: 0.7784 - distribution_lambda_27_loss: 1.5091 - distribution_lambda_28_loss: 0.4806 - val_loss: 2.8553 - val_distribution_lambda_26_loss: 0.8252 - val_distribution_lambda_27_loss: 1.5320 - val_distribution_lambda_28_loss: 0.4981\n",
+ "Epoch 687/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7611 - distribution_lambda_26_loss: 0.7731 - distribution_lambda_27_loss: 1.5071 - distribution_lambda_28_loss: 0.4809 - val_loss: 2.8493 - val_distribution_lambda_26_loss: 0.8209 - val_distribution_lambda_27_loss: 1.5303 - val_distribution_lambda_28_loss: 0.4982\n",
+ "Epoch 688/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7661 - distribution_lambda_26_loss: 0.7752 - distribution_lambda_27_loss: 1.5071 - distribution_lambda_28_loss: 0.4837 - val_loss: 2.8475 - val_distribution_lambda_26_loss: 0.8199 - val_distribution_lambda_27_loss: 1.5301 - val_distribution_lambda_28_loss: 0.4975\n",
+ "Epoch 689/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7455 - distribution_lambda_26_loss: 0.7723 - distribution_lambda_27_loss: 1.4937 - distribution_lambda_28_loss: 0.4795 - val_loss: 2.8462 - val_distribution_lambda_26_loss: 0.8192 - val_distribution_lambda_27_loss: 1.5299 - val_distribution_lambda_28_loss: 0.4971\n",
+ "Epoch 690/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7388 - distribution_lambda_26_loss: 0.7547 - distribution_lambda_27_loss: 1.5036 - distribution_lambda_28_loss: 0.4805 - val_loss: 2.8427 - val_distribution_lambda_26_loss: 0.8157 - val_distribution_lambda_27_loss: 1.5302 - val_distribution_lambda_28_loss: 0.4968\n",
+ "Epoch 691/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7572 - distribution_lambda_26_loss: 0.7553 - distribution_lambda_27_loss: 1.5154 - distribution_lambda_28_loss: 0.4865 - val_loss: 2.8415 - val_distribution_lambda_26_loss: 0.8142 - val_distribution_lambda_27_loss: 1.5299 - val_distribution_lambda_28_loss: 0.4974\n",
+ "Epoch 692/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7743 - distribution_lambda_26_loss: 0.7819 - distribution_lambda_27_loss: 1.5157 - distribution_lambda_28_loss: 0.4767 - val_loss: 2.8409 - val_distribution_lambda_26_loss: 0.8138 - val_distribution_lambda_27_loss: 1.5294 - val_distribution_lambda_28_loss: 0.4977\n",
+ "Epoch 693/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7274 - distribution_lambda_26_loss: 0.7504 - distribution_lambda_27_loss: 1.5069 - distribution_lambda_28_loss: 0.4701 - val_loss: 2.8374 - val_distribution_lambda_26_loss: 0.8115 - val_distribution_lambda_27_loss: 1.5286 - val_distribution_lambda_28_loss: 0.4973\n",
+ "Epoch 694/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7377 - distribution_lambda_26_loss: 0.7568 - distribution_lambda_27_loss: 1.5033 - distribution_lambda_28_loss: 0.4776 - val_loss: 2.8347 - val_distribution_lambda_26_loss: 0.8094 - val_distribution_lambda_27_loss: 1.5280 - val_distribution_lambda_28_loss: 0.4973\n",
+ "Epoch 695/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.7461 - distribution_lambda_26_loss: 0.7540 - distribution_lambda_27_loss: 1.5065 - distribution_lambda_28_loss: 0.4856 - val_loss: 2.8313 - val_distribution_lambda_26_loss: 0.8061 - val_distribution_lambda_27_loss: 1.5286 - val_distribution_lambda_28_loss: 0.4967\n",
+ "Epoch 696/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.7388 - distribution_lambda_26_loss: 0.7565 - distribution_lambda_27_loss: 1.5014 - distribution_lambda_28_loss: 0.4808 - val_loss: 2.8290 - val_distribution_lambda_26_loss: 0.8042 - val_distribution_lambda_27_loss: 1.5286 - val_distribution_lambda_28_loss: 0.4962\n",
+ "Epoch 697/2500\n"
+ ]
+ },
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+ "text": [
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+ "Epoch 698/2500\n",
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+ "Epoch 705/2500\n",
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+ "Epoch 706/2500\n",
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+ "Epoch 707/2500\n",
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+ "Epoch 708/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.6801 - distribution_lambda_26_loss: 0.7191 - distribution_lambda_27_loss: 1.4888 - distribution_lambda_28_loss: 0.4722 - val_loss: 2.8063 - val_distribution_lambda_26_loss: 0.7857 - val_distribution_lambda_27_loss: 1.5267 - val_distribution_lambda_28_loss: 0.4938\n",
+ "Epoch 709/2500\n",
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+ "Epoch 710/2500\n",
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+ "Epoch 711/2500\n",
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+ "Epoch 712/2500\n",
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+ "Epoch 713/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 2.7005 - distribution_lambda_26_loss: 0.7266 - distribution_lambda_27_loss: 1.5015 - distribution_lambda_28_loss: 0.4725 - val_loss: 2.7943 - val_distribution_lambda_26_loss: 0.7748 - val_distribution_lambda_27_loss: 1.5264 - val_distribution_lambda_28_loss: 0.4931\n",
+ "Epoch 714/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.6819 - distribution_lambda_26_loss: 0.7069 - distribution_lambda_27_loss: 1.5039 - distribution_lambda_28_loss: 0.4711 - val_loss: 2.7930 - val_distribution_lambda_26_loss: 0.7742 - val_distribution_lambda_27_loss: 1.5258 - val_distribution_lambda_28_loss: 0.4930\n",
+ "Epoch 715/2500\n",
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+ "Epoch 716/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.6849 - distribution_lambda_26_loss: 0.7166 - distribution_lambda_27_loss: 1.4913 - distribution_lambda_28_loss: 0.4770 - val_loss: 2.7898 - val_distribution_lambda_26_loss: 0.7727 - val_distribution_lambda_27_loss: 1.5249 - val_distribution_lambda_28_loss: 0.4922\n",
+ "Epoch 717/2500\n",
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+ "Epoch 718/2500\n",
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+ "Epoch 719/2500\n",
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+ "Epoch 720/2500\n",
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+ "Epoch 721/2500\n"
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+ "Epoch 727/2500\n",
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+ "Epoch 729/2500\n",
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+ "Epoch 730/2500\n",
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+ "Epoch 731/2500\n",
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+ "Epoch 732/2500\n",
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+ "Epoch 733/2500\n",
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+ "Epoch 734/2500\n",
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+ "Epoch 735/2500\n",
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+ "Epoch 736/2500\n",
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+ "Epoch 765/2500\n",
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+ "Epoch 796/2500\n",
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+ "Epoch 797/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5455 - distribution_lambda_26_loss: 0.6210 - distribution_lambda_27_loss: 1.4661 - distribution_lambda_28_loss: 0.4585 - val_loss: 2.6692 - val_distribution_lambda_26_loss: 0.6837 - val_distribution_lambda_27_loss: 1.5133 - val_distribution_lambda_28_loss: 0.4722\n",
+ "Epoch 798/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5374 - distribution_lambda_26_loss: 0.6170 - distribution_lambda_27_loss: 1.4653 - distribution_lambda_28_loss: 0.4550 - val_loss: 2.6688 - val_distribution_lambda_26_loss: 0.6829 - val_distribution_lambda_27_loss: 1.5140 - val_distribution_lambda_28_loss: 0.4719\n",
+ "Epoch 799/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5198 - distribution_lambda_26_loss: 0.6165 - distribution_lambda_27_loss: 1.4530 - distribution_lambda_28_loss: 0.4503 - val_loss: 2.6655 - val_distribution_lambda_26_loss: 0.6808 - val_distribution_lambda_27_loss: 1.5123 - val_distribution_lambda_28_loss: 0.4724\n",
+ "Epoch 800/2500\n",
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+ "Epoch 801/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5543 - distribution_lambda_26_loss: 0.6215 - distribution_lambda_27_loss: 1.4705 - distribution_lambda_28_loss: 0.4623 - val_loss: 2.6621 - val_distribution_lambda_26_loss: 0.6788 - val_distribution_lambda_27_loss: 1.5119 - val_distribution_lambda_28_loss: 0.4714\n",
+ "Epoch 802/2500\n",
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+ "Epoch 803/2500\n",
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+ "Epoch 804/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5211 - distribution_lambda_26_loss: 0.6134 - distribution_lambda_27_loss: 1.4596 - distribution_lambda_28_loss: 0.4481 - val_loss: 2.6560 - val_distribution_lambda_26_loss: 0.6722 - val_distribution_lambda_27_loss: 1.5123 - val_distribution_lambda_28_loss: 0.4714\n",
+ "Epoch 805/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5259 - distribution_lambda_26_loss: 0.6153 - distribution_lambda_27_loss: 1.4614 - distribution_lambda_28_loss: 0.4492 - val_loss: 2.6568 - val_distribution_lambda_26_loss: 0.6730 - val_distribution_lambda_27_loss: 1.5125 - val_distribution_lambda_28_loss: 0.4714\n",
+ "Epoch 806/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5282 - distribution_lambda_26_loss: 0.6194 - distribution_lambda_27_loss: 1.4620 - distribution_lambda_28_loss: 0.4467 - val_loss: 2.6566 - val_distribution_lambda_26_loss: 0.6731 - val_distribution_lambda_27_loss: 1.5128 - val_distribution_lambda_28_loss: 0.4707\n",
+ "Epoch 807/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5248 - distribution_lambda_26_loss: 0.6321 - distribution_lambda_27_loss: 1.4505 - distribution_lambda_28_loss: 0.4422 - val_loss: 2.6558 - val_distribution_lambda_26_loss: 0.6722 - val_distribution_lambda_27_loss: 1.5130 - val_distribution_lambda_28_loss: 0.4706\n",
+ "Epoch 808/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5061 - distribution_lambda_26_loss: 0.6022 - distribution_lambda_27_loss: 1.4614 - distribution_lambda_28_loss: 0.4425 - val_loss: 2.6547 - val_distribution_lambda_26_loss: 0.6717 - val_distribution_lambda_27_loss: 1.5123 - val_distribution_lambda_28_loss: 0.4707\n",
+ "Epoch 809/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5277 - distribution_lambda_26_loss: 0.6195 - distribution_lambda_27_loss: 1.4602 - distribution_lambda_28_loss: 0.4480 - val_loss: 2.6532 - val_distribution_lambda_26_loss: 0.6715 - val_distribution_lambda_27_loss: 1.5111 - val_distribution_lambda_28_loss: 0.4706\n",
+ "Epoch 810/2500\n",
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+ "Epoch 811/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5051 - distribution_lambda_26_loss: 0.6101 - distribution_lambda_27_loss: 1.4510 - distribution_lambda_28_loss: 0.4440 - val_loss: 2.6494 - val_distribution_lambda_26_loss: 0.6687 - val_distribution_lambda_27_loss: 1.5097 - val_distribution_lambda_28_loss: 0.4709\n",
+ "Epoch 812/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5127 - distribution_lambda_26_loss: 0.6221 - distribution_lambda_27_loss: 1.4453 - distribution_lambda_28_loss: 0.4453 - val_loss: 2.6491 - val_distribution_lambda_26_loss: 0.6693 - val_distribution_lambda_27_loss: 1.5090 - val_distribution_lambda_28_loss: 0.4708\n",
+ "Epoch 813/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4967 - distribution_lambda_26_loss: 0.6011 - distribution_lambda_27_loss: 1.4532 - distribution_lambda_28_loss: 0.4423 - val_loss: 2.6491 - val_distribution_lambda_26_loss: 0.6702 - val_distribution_lambda_27_loss: 1.5091 - val_distribution_lambda_28_loss: 0.4699\n",
+ "Epoch 814/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4721 - distribution_lambda_26_loss: 0.6078 - distribution_lambda_27_loss: 1.4307 - distribution_lambda_28_loss: 0.4337 - val_loss: 2.6479 - val_distribution_lambda_26_loss: 0.6687 - val_distribution_lambda_27_loss: 1.5091 - val_distribution_lambda_28_loss: 0.4702\n",
+ "Epoch 815/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4890 - distribution_lambda_26_loss: 0.6004 - distribution_lambda_27_loss: 1.4405 - distribution_lambda_28_loss: 0.4481 - val_loss: 2.6487 - val_distribution_lambda_26_loss: 0.6699 - val_distribution_lambda_27_loss: 1.5098 - val_distribution_lambda_28_loss: 0.4691\n",
+ "Epoch 816/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5284 - distribution_lambda_26_loss: 0.6107 - distribution_lambda_27_loss: 1.4669 - distribution_lambda_28_loss: 0.4509 - val_loss: 2.6440 - val_distribution_lambda_26_loss: 0.6664 - val_distribution_lambda_27_loss: 1.5085 - val_distribution_lambda_28_loss: 0.4691\n",
+ "Epoch 817/2500\n"
+ ]
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+ "Epoch 824/2500\n",
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+ "Epoch 825/2500\n",
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+ "Epoch 826/2500\n",
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+ "Epoch 827/2500\n",
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+ "Epoch 828/2500\n",
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+ "Epoch 829/2500\n",
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+ "Epoch 830/2500\n",
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+ "Epoch 831/2500\n",
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+ "Epoch 832/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.4923 - distribution_lambda_26_loss: 0.6111 - distribution_lambda_27_loss: 1.4433 - distribution_lambda_28_loss: 0.4378 - val_loss: 2.6342 - val_distribution_lambda_26_loss: 0.6590 - val_distribution_lambda_27_loss: 1.5067 - val_distribution_lambda_28_loss: 0.4686\n",
+ "Epoch 833/2500\n",
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+ "Epoch 834/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.5126 - distribution_lambda_26_loss: 0.5998 - distribution_lambda_27_loss: 1.4661 - distribution_lambda_28_loss: 0.4467 - val_loss: 2.6322 - val_distribution_lambda_26_loss: 0.6584 - val_distribution_lambda_27_loss: 1.5062 - val_distribution_lambda_28_loss: 0.4676\n",
+ "Epoch 835/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4927 - distribution_lambda_26_loss: 0.5915 - distribution_lambda_27_loss: 1.4554 - distribution_lambda_28_loss: 0.4457 - val_loss: 2.6320 - val_distribution_lambda_26_loss: 0.6583 - val_distribution_lambda_27_loss: 1.5069 - val_distribution_lambda_28_loss: 0.4669\n",
+ "Epoch 836/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4705 - distribution_lambda_26_loss: 0.5918 - distribution_lambda_27_loss: 1.4413 - distribution_lambda_28_loss: 0.4375 - val_loss: 2.6320 - val_distribution_lambda_26_loss: 0.6581 - val_distribution_lambda_27_loss: 1.5068 - val_distribution_lambda_28_loss: 0.4671\n",
+ "Epoch 837/2500\n",
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+ "Epoch 838/2500\n",
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+ "Epoch 839/2500\n",
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+ "Epoch 840/2500\n",
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+ "Epoch 841/2500\n"
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+ "Epoch 846/2500\n",
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+ "Epoch 849/2500\n",
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+ "Epoch 850/2500\n",
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+ "Epoch 851/2500\n",
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+ "Epoch 852/2500\n",
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+ "Epoch 853/2500\n",
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+ "Epoch 854/2500\n",
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+ "Epoch 855/2500\n",
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+ "Epoch 856/2500\n",
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+ "Epoch 861/2500\n",
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+ "Epoch 882/2500\n",
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+ "Epoch 883/2500\n",
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+ "Epoch 884/2500\n",
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+ "Epoch 885/2500\n",
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+ "Epoch 886/2500\n",
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+ "Epoch 887/2500\n",
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+ "Epoch 888/2500\n",
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+ "Epoch 897/2500\n",
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+ "Epoch 898/2500\n",
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+ "Epoch 899/2500\n",
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+ "Epoch 900/2500\n",
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+ "Epoch 901/2500\n",
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+ "Epoch 902/2500\n",
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+ "Epoch 903/2500\n",
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+ "Epoch 904/2500\n",
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+ "Epoch 905/2500\n",
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+ "Epoch 906/2500\n",
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+ "Epoch 907/2500\n",
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+ "Epoch 908/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3880 - distribution_lambda_26_loss: 0.5433 - distribution_lambda_27_loss: 1.4244 - distribution_lambda_28_loss: 0.4203 - val_loss: 2.5860 - val_distribution_lambda_26_loss: 0.6233 - val_distribution_lambda_27_loss: 1.4957 - val_distribution_lambda_28_loss: 0.4671\n",
+ "Epoch 909/2500\n",
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+ "Epoch 910/2500\n",
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+ "Epoch 911/2500\n",
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+ "Epoch 912/2500\n",
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+ "Epoch 915/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3946 - distribution_lambda_26_loss: 0.5479 - distribution_lambda_27_loss: 1.4218 - distribution_lambda_28_loss: 0.4249 - val_loss: 2.5777 - val_distribution_lambda_26_loss: 0.6149 - val_distribution_lambda_27_loss: 1.4925 - val_distribution_lambda_28_loss: 0.4702\n",
+ "Epoch 916/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3908 - distribution_lambda_26_loss: 0.5395 - distribution_lambda_27_loss: 1.4222 - distribution_lambda_28_loss: 0.4291 - val_loss: 2.5788 - val_distribution_lambda_26_loss: 0.6168 - val_distribution_lambda_27_loss: 1.4917 - val_distribution_lambda_28_loss: 0.4703\n",
+ "Epoch 917/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3720 - distribution_lambda_26_loss: 0.5401 - distribution_lambda_27_loss: 1.4235 - distribution_lambda_28_loss: 0.4085 - val_loss: 2.5772 - val_distribution_lambda_26_loss: 0.6149 - val_distribution_lambda_27_loss: 1.4922 - val_distribution_lambda_28_loss: 0.4701\n",
+ "Epoch 918/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.3988 - distribution_lambda_26_loss: 0.5431 - distribution_lambda_27_loss: 1.4244 - distribution_lambda_28_loss: 0.4313 - val_loss: 2.5765 - val_distribution_lambda_26_loss: 0.6155 - val_distribution_lambda_27_loss: 1.4909 - val_distribution_lambda_28_loss: 0.4701\n",
+ "Epoch 919/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3910 - distribution_lambda_26_loss: 0.5453 - distribution_lambda_27_loss: 1.4267 - distribution_lambda_28_loss: 0.4190 - val_loss: 2.5793 - val_distribution_lambda_26_loss: 0.6179 - val_distribution_lambda_27_loss: 1.4916 - val_distribution_lambda_28_loss: 0.4699\n",
+ "Epoch 920/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.4018 - distribution_lambda_26_loss: 0.5384 - distribution_lambda_27_loss: 1.4383 - distribution_lambda_28_loss: 0.4250 - val_loss: 2.5775 - val_distribution_lambda_26_loss: 0.6179 - val_distribution_lambda_27_loss: 1.4894 - val_distribution_lambda_28_loss: 0.4702\n",
+ "Epoch 921/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3742 - distribution_lambda_26_loss: 0.5450 - distribution_lambda_27_loss: 1.4108 - distribution_lambda_28_loss: 0.4184 - val_loss: 2.5690 - val_distribution_lambda_26_loss: 0.6096 - val_distribution_lambda_27_loss: 1.4895 - val_distribution_lambda_28_loss: 0.4698\n",
+ "Epoch 922/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3837 - distribution_lambda_26_loss: 0.5360 - distribution_lambda_27_loss: 1.4214 - distribution_lambda_28_loss: 0.4263 - val_loss: 2.5682 - val_distribution_lambda_26_loss: 0.6066 - val_distribution_lambda_27_loss: 1.4917 - val_distribution_lambda_28_loss: 0.4700\n",
+ "Epoch 923/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3751 - distribution_lambda_26_loss: 0.5273 - distribution_lambda_27_loss: 1.4298 - distribution_lambda_28_loss: 0.4180 - val_loss: 2.5686 - val_distribution_lambda_26_loss: 0.6062 - val_distribution_lambda_27_loss: 1.4926 - val_distribution_lambda_28_loss: 0.4698\n",
+ "Epoch 924/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3543 - distribution_lambda_26_loss: 0.5334 - distribution_lambda_27_loss: 1.4068 - distribution_lambda_28_loss: 0.4140 - val_loss: 2.5687 - val_distribution_lambda_26_loss: 0.6072 - val_distribution_lambda_27_loss: 1.4913 - val_distribution_lambda_28_loss: 0.4703\n",
+ "Epoch 925/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3777 - distribution_lambda_26_loss: 0.5338 - distribution_lambda_27_loss: 1.4206 - distribution_lambda_28_loss: 0.4233 - val_loss: 2.5615 - val_distribution_lambda_26_loss: 0.6023 - val_distribution_lambda_27_loss: 1.4902 - val_distribution_lambda_28_loss: 0.4689\n",
+ "Epoch 926/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3557 - distribution_lambda_26_loss: 0.5294 - distribution_lambda_27_loss: 1.4057 - distribution_lambda_28_loss: 0.4205 - val_loss: 2.5622 - val_distribution_lambda_26_loss: 0.6037 - val_distribution_lambda_27_loss: 1.4901 - val_distribution_lambda_28_loss: 0.4685\n",
+ "Epoch 927/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3582 - distribution_lambda_26_loss: 0.5321 - distribution_lambda_27_loss: 1.4189 - distribution_lambda_28_loss: 0.4072 - val_loss: 2.5610 - val_distribution_lambda_26_loss: 0.6033 - val_distribution_lambda_27_loss: 1.4895 - val_distribution_lambda_28_loss: 0.4683\n",
+ "Epoch 928/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3382 - distribution_lambda_26_loss: 0.5152 - distribution_lambda_27_loss: 1.4097 - distribution_lambda_28_loss: 0.4132 - val_loss: 2.5579 - val_distribution_lambda_26_loss: 0.6013 - val_distribution_lambda_27_loss: 1.4890 - val_distribution_lambda_28_loss: 0.4676\n",
+ "Epoch 929/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3163 - distribution_lambda_26_loss: 0.5112 - distribution_lambda_27_loss: 1.4055 - distribution_lambda_28_loss: 0.3997 - val_loss: 2.5547 - val_distribution_lambda_26_loss: 0.5996 - val_distribution_lambda_27_loss: 1.4877 - val_distribution_lambda_28_loss: 0.4675\n",
+ "Epoch 930/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3581 - distribution_lambda_26_loss: 0.5170 - distribution_lambda_27_loss: 1.4170 - distribution_lambda_28_loss: 0.4241 - val_loss: 2.5549 - val_distribution_lambda_26_loss: 0.6001 - val_distribution_lambda_27_loss: 1.4871 - val_distribution_lambda_28_loss: 0.4677\n",
+ "Epoch 931/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3624 - distribution_lambda_26_loss: 0.5315 - distribution_lambda_27_loss: 1.4101 - distribution_lambda_28_loss: 0.4208 - val_loss: 2.5524 - val_distribution_lambda_26_loss: 0.5991 - val_distribution_lambda_27_loss: 1.4860 - val_distribution_lambda_28_loss: 0.4673\n",
+ "Epoch 932/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3550 - distribution_lambda_26_loss: 0.5230 - distribution_lambda_27_loss: 1.4199 - distribution_lambda_28_loss: 0.4121 - val_loss: 2.5518 - val_distribution_lambda_26_loss: 0.5969 - val_distribution_lambda_27_loss: 1.4874 - val_distribution_lambda_28_loss: 0.4675\n",
+ "Epoch 933/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3401 - distribution_lambda_26_loss: 0.5282 - distribution_lambda_27_loss: 1.4080 - distribution_lambda_28_loss: 0.4039 - val_loss: 2.5529 - val_distribution_lambda_26_loss: 0.5983 - val_distribution_lambda_27_loss: 1.4867 - val_distribution_lambda_28_loss: 0.4679\n",
+ "Epoch 934/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3800 - distribution_lambda_26_loss: 0.5371 - distribution_lambda_27_loss: 1.4241 - distribution_lambda_28_loss: 0.4188 - val_loss: 2.5470 - val_distribution_lambda_26_loss: 0.5944 - val_distribution_lambda_27_loss: 1.4857 - val_distribution_lambda_28_loss: 0.4668\n",
+ "Epoch 935/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3346 - distribution_lambda_26_loss: 0.5209 - distribution_lambda_27_loss: 1.4080 - distribution_lambda_28_loss: 0.4057 - val_loss: 2.5440 - val_distribution_lambda_26_loss: 0.5940 - val_distribution_lambda_27_loss: 1.4843 - val_distribution_lambda_28_loss: 0.4657\n",
+ "Epoch 936/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3559 - distribution_lambda_26_loss: 0.5238 - distribution_lambda_27_loss: 1.4207 - distribution_lambda_28_loss: 0.4114 - val_loss: 2.5480 - val_distribution_lambda_26_loss: 0.5954 - val_distribution_lambda_27_loss: 1.4869 - val_distribution_lambda_28_loss: 0.4657\n",
+ "Epoch 937/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
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+ "Epoch 938/2500\n",
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+ "Epoch 939/2500\n",
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+ "Epoch 940/2500\n",
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+ "Epoch 941/2500\n",
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+ "Epoch 942/2500\n",
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+ "Epoch 943/2500\n",
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+ "Epoch 944/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3114 - distribution_lambda_26_loss: 0.5094 - distribution_lambda_27_loss: 1.3996 - distribution_lambda_28_loss: 0.4024 - val_loss: 2.5310 - val_distribution_lambda_26_loss: 0.5872 - val_distribution_lambda_27_loss: 1.4796 - val_distribution_lambda_28_loss: 0.4642\n",
+ "Epoch 945/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.3253 - distribution_lambda_26_loss: 0.5180 - distribution_lambda_27_loss: 1.3958 - distribution_lambda_28_loss: 0.4115 - val_loss: 2.5250 - val_distribution_lambda_26_loss: 0.5846 - val_distribution_lambda_27_loss: 1.4768 - val_distribution_lambda_28_loss: 0.4637\n",
+ "Epoch 946/2500\n",
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+ "Epoch 947/2500\n",
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+ "Epoch 948/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3009 - distribution_lambda_26_loss: 0.5019 - distribution_lambda_27_loss: 1.3935 - distribution_lambda_28_loss: 0.4054 - val_loss: 2.5234 - val_distribution_lambda_26_loss: 0.5831 - val_distribution_lambda_27_loss: 1.4773 - val_distribution_lambda_28_loss: 0.4630\n",
+ "Epoch 949/2500\n",
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+ "Epoch 950/2500\n",
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+ "Epoch 951/2500\n",
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+ "Epoch 952/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3162 - distribution_lambda_26_loss: 0.5110 - distribution_lambda_27_loss: 1.4044 - distribution_lambda_28_loss: 0.4008 - val_loss: 2.5206 - val_distribution_lambda_26_loss: 0.5817 - val_distribution_lambda_27_loss: 1.4762 - val_distribution_lambda_28_loss: 0.4627\n",
+ "Epoch 953/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3241 - distribution_lambda_26_loss: 0.5184 - distribution_lambda_27_loss: 1.3982 - distribution_lambda_28_loss: 0.4074 - val_loss: 2.5130 - val_distribution_lambda_26_loss: 0.5740 - val_distribution_lambda_27_loss: 1.4761 - val_distribution_lambda_28_loss: 0.4630\n",
+ "Epoch 954/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3175 - distribution_lambda_26_loss: 0.5135 - distribution_lambda_27_loss: 1.4056 - distribution_lambda_28_loss: 0.3984 - val_loss: 2.5142 - val_distribution_lambda_26_loss: 0.5750 - val_distribution_lambda_27_loss: 1.4768 - val_distribution_lambda_28_loss: 0.4624\n",
+ "Epoch 955/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3237 - distribution_lambda_26_loss: 0.5062 - distribution_lambda_27_loss: 1.4072 - distribution_lambda_28_loss: 0.4104 - val_loss: 2.5129 - val_distribution_lambda_26_loss: 0.5746 - val_distribution_lambda_27_loss: 1.4770 - val_distribution_lambda_28_loss: 0.4613\n",
+ "Epoch 956/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2991 - distribution_lambda_26_loss: 0.5011 - distribution_lambda_27_loss: 1.3974 - distribution_lambda_28_loss: 0.4006 - val_loss: 2.5130 - val_distribution_lambda_26_loss: 0.5746 - val_distribution_lambda_27_loss: 1.4774 - val_distribution_lambda_28_loss: 0.4610\n",
+ "Epoch 957/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3367 - distribution_lambda_26_loss: 0.5112 - distribution_lambda_27_loss: 1.4139 - distribution_lambda_28_loss: 0.4116 - val_loss: 2.5104 - val_distribution_lambda_26_loss: 0.5732 - val_distribution_lambda_27_loss: 1.4767 - val_distribution_lambda_28_loss: 0.4606\n",
+ "Epoch 958/2500\n",
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+ "Epoch 959/2500\n",
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+ "Epoch 960/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2804 - distribution_lambda_26_loss: 0.4939 - distribution_lambda_27_loss: 1.3893 - distribution_lambda_28_loss: 0.3972 - val_loss: 2.5089 - val_distribution_lambda_26_loss: 0.5734 - val_distribution_lambda_27_loss: 1.4753 - val_distribution_lambda_28_loss: 0.4602\n",
+ "Epoch 961/2500\n"
+ ]
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+ "Epoch 962/2500\n",
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+ "Epoch 965/2500\n",
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+ "Epoch 966/2500\n",
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+ "Epoch 967/2500\n",
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+ "Epoch 968/2500\n",
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+ "Epoch 969/2500\n",
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+ "Epoch 970/2500\n",
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+ "Epoch 971/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3139 - distribution_lambda_26_loss: 0.4959 - distribution_lambda_27_loss: 1.4097 - distribution_lambda_28_loss: 0.4083 - val_loss: 2.4970 - val_distribution_lambda_26_loss: 0.5625 - val_distribution_lambda_27_loss: 1.4779 - val_distribution_lambda_28_loss: 0.4566\n",
+ "Epoch 972/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2787 - distribution_lambda_26_loss: 0.4875 - distribution_lambda_27_loss: 1.3935 - distribution_lambda_28_loss: 0.3977 - val_loss: 2.4927 - val_distribution_lambda_26_loss: 0.5580 - val_distribution_lambda_27_loss: 1.4777 - val_distribution_lambda_28_loss: 0.4570\n",
+ "Epoch 973/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2963 - distribution_lambda_26_loss: 0.4931 - distribution_lambda_27_loss: 1.4095 - distribution_lambda_28_loss: 0.3937 - val_loss: 2.4906 - val_distribution_lambda_26_loss: 0.5594 - val_distribution_lambda_27_loss: 1.4757 - val_distribution_lambda_28_loss: 0.4555\n",
+ "Epoch 974/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2986 - distribution_lambda_26_loss: 0.4895 - distribution_lambda_27_loss: 1.4028 - distribution_lambda_28_loss: 0.4063 - val_loss: 2.4838 - val_distribution_lambda_26_loss: 0.5574 - val_distribution_lambda_27_loss: 1.4717 - val_distribution_lambda_28_loss: 0.4547\n",
+ "Epoch 975/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2937 - distribution_lambda_26_loss: 0.4996 - distribution_lambda_27_loss: 1.3893 - distribution_lambda_28_loss: 0.4047 - val_loss: 2.4798 - val_distribution_lambda_26_loss: 0.5539 - val_distribution_lambda_27_loss: 1.4714 - val_distribution_lambda_28_loss: 0.4545\n",
+ "Epoch 976/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.3242 - distribution_lambda_26_loss: 0.4898 - distribution_lambda_27_loss: 1.4196 - distribution_lambda_28_loss: 0.4149 - val_loss: 2.4863 - val_distribution_lambda_26_loss: 0.5547 - val_distribution_lambda_27_loss: 1.4761 - val_distribution_lambda_28_loss: 0.4554\n",
+ "Epoch 977/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2743 - distribution_lambda_26_loss: 0.4858 - distribution_lambda_27_loss: 1.3902 - distribution_lambda_28_loss: 0.3983 - val_loss: 2.4913 - val_distribution_lambda_26_loss: 0.5605 - val_distribution_lambda_27_loss: 1.4748 - val_distribution_lambda_28_loss: 0.4560\n",
+ "Epoch 978/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2518 - distribution_lambda_26_loss: 0.4865 - distribution_lambda_27_loss: 1.3771 - distribution_lambda_28_loss: 0.3882 - val_loss: 2.4849 - val_distribution_lambda_26_loss: 0.5561 - val_distribution_lambda_27_loss: 1.4728 - val_distribution_lambda_28_loss: 0.4560\n",
+ "Epoch 979/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2695 - distribution_lambda_26_loss: 0.4807 - distribution_lambda_27_loss: 1.3897 - distribution_lambda_28_loss: 0.3990 - val_loss: 2.4753 - val_distribution_lambda_26_loss: 0.5490 - val_distribution_lambda_27_loss: 1.4709 - val_distribution_lambda_28_loss: 0.4554\n",
+ "Epoch 980/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2833 - distribution_lambda_26_loss: 0.4969 - distribution_lambda_27_loss: 1.3953 - distribution_lambda_28_loss: 0.3911 - val_loss: 2.4729 - val_distribution_lambda_26_loss: 0.5445 - val_distribution_lambda_27_loss: 1.4744 - val_distribution_lambda_28_loss: 0.4540\n",
+ "Epoch 981/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2748 - distribution_lambda_26_loss: 0.4737 - distribution_lambda_27_loss: 1.3904 - distribution_lambda_28_loss: 0.4107 - val_loss: 2.4703 - val_distribution_lambda_26_loss: 0.5465 - val_distribution_lambda_27_loss: 1.4717 - val_distribution_lambda_28_loss: 0.4521\n",
+ "Epoch 982/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2723 - distribution_lambda_26_loss: 0.4740 - distribution_lambda_27_loss: 1.3898 - distribution_lambda_28_loss: 0.4085 - val_loss: 2.4676 - val_distribution_lambda_26_loss: 0.5483 - val_distribution_lambda_27_loss: 1.4685 - val_distribution_lambda_28_loss: 0.4508\n",
+ "Epoch 983/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2768 - distribution_lambda_26_loss: 0.4804 - distribution_lambda_27_loss: 1.4038 - distribution_lambda_28_loss: 0.3926 - val_loss: 2.4677 - val_distribution_lambda_26_loss: 0.5469 - val_distribution_lambda_27_loss: 1.4697 - val_distribution_lambda_28_loss: 0.4511\n",
+ "Epoch 984/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2604 - distribution_lambda_26_loss: 0.4765 - distribution_lambda_27_loss: 1.3889 - distribution_lambda_28_loss: 0.3950 - val_loss: 2.4679 - val_distribution_lambda_26_loss: 0.5446 - val_distribution_lambda_27_loss: 1.4721 - val_distribution_lambda_28_loss: 0.4512\n",
+ "Epoch 985/2500\n"
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+ "Epoch 986/2500\n",
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+ "Epoch 987/2500\n",
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+ "Epoch 988/2500\n",
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+ "Epoch 989/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2386 - distribution_lambda_26_loss: 0.4657 - distribution_lambda_27_loss: 1.3826 - distribution_lambda_28_loss: 0.3903 - val_loss: 2.4552 - val_distribution_lambda_26_loss: 0.5421 - val_distribution_lambda_27_loss: 1.4641 - val_distribution_lambda_28_loss: 0.4490\n",
+ "Epoch 990/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2531 - distribution_lambda_26_loss: 0.4808 - distribution_lambda_27_loss: 1.3834 - distribution_lambda_28_loss: 0.3889 - val_loss: 2.4585 - val_distribution_lambda_26_loss: 0.5453 - val_distribution_lambda_27_loss: 1.4641 - val_distribution_lambda_28_loss: 0.4491\n",
+ "Epoch 991/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2643 - distribution_lambda_26_loss: 0.4650 - distribution_lambda_27_loss: 1.3939 - distribution_lambda_28_loss: 0.4054 - val_loss: 2.4703 - val_distribution_lambda_26_loss: 0.5522 - val_distribution_lambda_27_loss: 1.4687 - val_distribution_lambda_28_loss: 0.4494\n",
+ "Epoch 992/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2329 - distribution_lambda_26_loss: 0.4723 - distribution_lambda_27_loss: 1.3776 - distribution_lambda_28_loss: 0.3831 - val_loss: 2.4690 - val_distribution_lambda_26_loss: 0.5492 - val_distribution_lambda_27_loss: 1.4701 - val_distribution_lambda_28_loss: 0.4496\n",
+ "Epoch 993/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2718 - distribution_lambda_26_loss: 0.4894 - distribution_lambda_27_loss: 1.3856 - distribution_lambda_28_loss: 0.3968 - val_loss: 2.4564 - val_distribution_lambda_26_loss: 0.5388 - val_distribution_lambda_27_loss: 1.4684 - val_distribution_lambda_28_loss: 0.4493\n",
+ "Epoch 994/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2524 - distribution_lambda_26_loss: 0.4711 - distribution_lambda_27_loss: 1.3905 - distribution_lambda_28_loss: 0.3909 - val_loss: 2.4492 - val_distribution_lambda_26_loss: 0.5341 - val_distribution_lambda_27_loss: 1.4661 - val_distribution_lambda_28_loss: 0.4490\n",
+ "Epoch 995/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2633 - distribution_lambda_26_loss: 0.4755 - distribution_lambda_27_loss: 1.3918 - distribution_lambda_28_loss: 0.3961 - val_loss: 2.4503 - val_distribution_lambda_26_loss: 0.5353 - val_distribution_lambda_27_loss: 1.4666 - val_distribution_lambda_28_loss: 0.4484\n",
+ "Epoch 996/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2323 - distribution_lambda_26_loss: 0.4680 - distribution_lambda_27_loss: 1.3798 - distribution_lambda_28_loss: 0.3845 - val_loss: 2.4534 - val_distribution_lambda_26_loss: 0.5399 - val_distribution_lambda_27_loss: 1.4656 - val_distribution_lambda_28_loss: 0.4480\n",
+ "Epoch 997/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2250 - distribution_lambda_26_loss: 0.4662 - distribution_lambda_27_loss: 1.3673 - distribution_lambda_28_loss: 0.3915 - val_loss: 2.4501 - val_distribution_lambda_26_loss: 0.5390 - val_distribution_lambda_27_loss: 1.4643 - val_distribution_lambda_28_loss: 0.4468\n",
+ "Epoch 998/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2369 - distribution_lambda_26_loss: 0.4653 - distribution_lambda_27_loss: 1.3895 - distribution_lambda_28_loss: 0.3821 - val_loss: 2.4467 - val_distribution_lambda_26_loss: 0.5364 - val_distribution_lambda_27_loss: 1.4639 - val_distribution_lambda_28_loss: 0.4464\n",
+ "Epoch 999/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2530 - distribution_lambda_26_loss: 0.4741 - distribution_lambda_27_loss: 1.3792 - distribution_lambda_28_loss: 0.3997 - val_loss: 2.4496 - val_distribution_lambda_26_loss: 0.5402 - val_distribution_lambda_27_loss: 1.4630 - val_distribution_lambda_28_loss: 0.4464\n",
+ "Epoch 1000/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2453 - distribution_lambda_26_loss: 0.4689 - distribution_lambda_27_loss: 1.3805 - distribution_lambda_28_loss: 0.3959 - val_loss: 2.4494 - val_distribution_lambda_26_loss: 0.5397 - val_distribution_lambda_27_loss: 1.4629 - val_distribution_lambda_28_loss: 0.4468\n",
+ "Epoch 1001/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2115 - distribution_lambda_26_loss: 0.4511 - distribution_lambda_27_loss: 1.3802 - distribution_lambda_28_loss: 0.3802 - val_loss: 2.4482 - val_distribution_lambda_26_loss: 0.5365 - val_distribution_lambda_27_loss: 1.4644 - val_distribution_lambda_28_loss: 0.4472\n",
+ "Epoch 1002/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2280 - distribution_lambda_26_loss: 0.4570 - distribution_lambda_27_loss: 1.3787 - distribution_lambda_28_loss: 0.3924 - val_loss: 2.4443 - val_distribution_lambda_26_loss: 0.5325 - val_distribution_lambda_27_loss: 1.4642 - val_distribution_lambda_28_loss: 0.4476\n",
+ "Epoch 1003/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2234 - distribution_lambda_26_loss: 0.4747 - distribution_lambda_27_loss: 1.3706 - distribution_lambda_28_loss: 0.3781 - val_loss: 2.4414 - val_distribution_lambda_26_loss: 0.5293 - val_distribution_lambda_27_loss: 1.4649 - val_distribution_lambda_28_loss: 0.4472\n",
+ "Epoch 1004/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2259 - distribution_lambda_26_loss: 0.4693 - distribution_lambda_27_loss: 1.3777 - distribution_lambda_28_loss: 0.3788 - val_loss: 2.4449 - val_distribution_lambda_26_loss: 0.5287 - val_distribution_lambda_27_loss: 1.4681 - val_distribution_lambda_28_loss: 0.4481\n",
+ "Epoch 1005/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2257 - distribution_lambda_26_loss: 0.4645 - distribution_lambda_27_loss: 1.3827 - distribution_lambda_28_loss: 0.3786 - val_loss: 2.4491 - val_distribution_lambda_26_loss: 0.5305 - val_distribution_lambda_27_loss: 1.4700 - val_distribution_lambda_28_loss: 0.4486\n",
+ "Epoch 1006/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2522 - distribution_lambda_26_loss: 0.4683 - distribution_lambda_27_loss: 1.3906 - distribution_lambda_28_loss: 0.3933 - val_loss: 2.4435 - val_distribution_lambda_26_loss: 0.5269 - val_distribution_lambda_27_loss: 1.4690 - val_distribution_lambda_28_loss: 0.4477\n",
+ "Epoch 1007/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2219 - distribution_lambda_26_loss: 0.4639 - distribution_lambda_27_loss: 1.3684 - distribution_lambda_28_loss: 0.3897 - val_loss: 2.4410 - val_distribution_lambda_26_loss: 0.5278 - val_distribution_lambda_27_loss: 1.4668 - val_distribution_lambda_28_loss: 0.4464\n",
+ "Epoch 1008/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.1910 - distribution_lambda_26_loss: 0.4636 - distribution_lambda_27_loss: 1.3599 - distribution_lambda_28_loss: 0.3674 - val_loss: 2.4410 - val_distribution_lambda_26_loss: 0.5271 - val_distribution_lambda_27_loss: 1.4685 - val_distribution_lambda_28_loss: 0.4454\n",
+ "Epoch 1009/2500\n"
+ ]
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+ "text": [
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+ "Epoch 1010/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2228 - distribution_lambda_26_loss: 0.4704 - distribution_lambda_27_loss: 1.3720 - distribution_lambda_28_loss: 0.3804 - val_loss: 2.4355 - val_distribution_lambda_26_loss: 0.5250 - val_distribution_lambda_27_loss: 1.4662 - val_distribution_lambda_28_loss: 0.4444\n",
+ "Epoch 1011/2500\n",
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+ "Epoch 1012/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2154 - distribution_lambda_26_loss: 0.4571 - distribution_lambda_27_loss: 1.3721 - distribution_lambda_28_loss: 0.3863 - val_loss: 2.4367 - val_distribution_lambda_26_loss: 0.5278 - val_distribution_lambda_27_loss: 1.4671 - val_distribution_lambda_28_loss: 0.4417\n",
+ "Epoch 1013/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2141 - distribution_lambda_26_loss: 0.4547 - distribution_lambda_27_loss: 1.3726 - distribution_lambda_28_loss: 0.3867 - val_loss: 2.4294 - val_distribution_lambda_26_loss: 0.5219 - val_distribution_lambda_27_loss: 1.4664 - val_distribution_lambda_28_loss: 0.4411\n",
+ "Epoch 1014/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2185 - distribution_lambda_26_loss: 0.4500 - distribution_lambda_27_loss: 1.3776 - distribution_lambda_28_loss: 0.3909 - val_loss: 2.4305 - val_distribution_lambda_26_loss: 0.5245 - val_distribution_lambda_27_loss: 1.4658 - val_distribution_lambda_28_loss: 0.4402\n",
+ "Epoch 1015/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2447 - distribution_lambda_26_loss: 0.4570 - distribution_lambda_27_loss: 1.3960 - distribution_lambda_28_loss: 0.3917 - val_loss: 2.4310 - val_distribution_lambda_26_loss: 0.5265 - val_distribution_lambda_27_loss: 1.4654 - val_distribution_lambda_28_loss: 0.4392\n",
+ "Epoch 1016/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2074 - distribution_lambda_26_loss: 0.4519 - distribution_lambda_27_loss: 1.3767 - distribution_lambda_28_loss: 0.3788 - val_loss: 2.4281 - val_distribution_lambda_26_loss: 0.5266 - val_distribution_lambda_27_loss: 1.4622 - val_distribution_lambda_28_loss: 0.4393\n",
+ "Epoch 1017/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1969 - distribution_lambda_26_loss: 0.4606 - distribution_lambda_27_loss: 1.3609 - distribution_lambda_28_loss: 0.3754 - val_loss: 2.4238 - val_distribution_lambda_26_loss: 0.5248 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4400\n",
+ "Epoch 1018/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1825 - distribution_lambda_26_loss: 0.4507 - distribution_lambda_27_loss: 1.3588 - distribution_lambda_28_loss: 0.3731 - val_loss: 2.4186 - val_distribution_lambda_26_loss: 0.5200 - val_distribution_lambda_27_loss: 1.4591 - val_distribution_lambda_28_loss: 0.4396\n",
+ "Epoch 1019/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2089 - distribution_lambda_26_loss: 0.4512 - distribution_lambda_27_loss: 1.3721 - distribution_lambda_28_loss: 0.3856 - val_loss: 2.4200 - val_distribution_lambda_26_loss: 0.5200 - val_distribution_lambda_27_loss: 1.4614 - val_distribution_lambda_28_loss: 0.4387\n",
+ "Epoch 1020/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2085 - distribution_lambda_26_loss: 0.4531 - distribution_lambda_27_loss: 1.3722 - distribution_lambda_28_loss: 0.3832 - val_loss: 2.4214 - val_distribution_lambda_26_loss: 0.5188 - val_distribution_lambda_27_loss: 1.4637 - val_distribution_lambda_28_loss: 0.4390\n",
+ "Epoch 1021/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1860 - distribution_lambda_26_loss: 0.4363 - distribution_lambda_27_loss: 1.3719 - distribution_lambda_28_loss: 0.3778 - val_loss: 2.4259 - val_distribution_lambda_26_loss: 0.5224 - val_distribution_lambda_27_loss: 1.4646 - val_distribution_lambda_28_loss: 0.4389\n",
+ "Epoch 1022/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1737 - distribution_lambda_26_loss: 0.4524 - distribution_lambda_27_loss: 1.3516 - distribution_lambda_28_loss: 0.3696 - val_loss: 2.4269 - val_distribution_lambda_26_loss: 0.5208 - val_distribution_lambda_27_loss: 1.4670 - val_distribution_lambda_28_loss: 0.4391\n",
+ "Epoch 1023/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1598 - distribution_lambda_26_loss: 0.4318 - distribution_lambda_27_loss: 1.3558 - distribution_lambda_28_loss: 0.3723 - val_loss: 2.4189 - val_distribution_lambda_26_loss: 0.5162 - val_distribution_lambda_27_loss: 1.4638 - val_distribution_lambda_28_loss: 0.4389\n",
+ "Epoch 1024/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.1848 - distribution_lambda_26_loss: 0.4468 - distribution_lambda_27_loss: 1.3682 - distribution_lambda_28_loss: 0.3697 - val_loss: 2.4132 - val_distribution_lambda_26_loss: 0.5126 - val_distribution_lambda_27_loss: 1.4630 - val_distribution_lambda_28_loss: 0.4376\n",
+ "Epoch 1025/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1620 - distribution_lambda_26_loss: 0.4393 - distribution_lambda_27_loss: 1.3541 - distribution_lambda_28_loss: 0.3686 - val_loss: 2.4152 - val_distribution_lambda_26_loss: 0.5168 - val_distribution_lambda_27_loss: 1.4615 - val_distribution_lambda_28_loss: 0.4369\n",
+ "Epoch 1026/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1964 - distribution_lambda_26_loss: 0.4474 - distribution_lambda_27_loss: 1.3626 - distribution_lambda_28_loss: 0.3864 - val_loss: 2.4223 - val_distribution_lambda_26_loss: 0.5232 - val_distribution_lambda_27_loss: 1.4612 - val_distribution_lambda_28_loss: 0.4379\n",
+ "Epoch 1027/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.2291 - distribution_lambda_26_loss: 0.4550 - distribution_lambda_27_loss: 1.3881 - distribution_lambda_28_loss: 0.3859 - val_loss: 2.4144 - val_distribution_lambda_26_loss: 0.5159 - val_distribution_lambda_27_loss: 1.4605 - val_distribution_lambda_28_loss: 0.4381\n",
+ "Epoch 1028/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1639 - distribution_lambda_26_loss: 0.4285 - distribution_lambda_27_loss: 1.3621 - distribution_lambda_28_loss: 0.3734 - val_loss: 2.4086 - val_distribution_lambda_26_loss: 0.5085 - val_distribution_lambda_27_loss: 1.4618 - val_distribution_lambda_28_loss: 0.4382\n",
+ "Epoch 1029/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1901 - distribution_lambda_26_loss: 0.4355 - distribution_lambda_27_loss: 1.3805 - distribution_lambda_28_loss: 0.3741 - val_loss: 2.4069 - val_distribution_lambda_26_loss: 0.5075 - val_distribution_lambda_27_loss: 1.4618 - val_distribution_lambda_28_loss: 0.4375\n",
+ "Epoch 1030/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1547 - distribution_lambda_26_loss: 0.4399 - distribution_lambda_27_loss: 1.3515 - distribution_lambda_28_loss: 0.3634 - val_loss: 2.4064 - val_distribution_lambda_26_loss: 0.5073 - val_distribution_lambda_27_loss: 1.4620 - val_distribution_lambda_28_loss: 0.4371\n",
+ "Epoch 1031/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1956 - distribution_lambda_26_loss: 0.4369 - distribution_lambda_27_loss: 1.3772 - distribution_lambda_28_loss: 0.3815 - val_loss: 2.4134 - val_distribution_lambda_26_loss: 0.5118 - val_distribution_lambda_27_loss: 1.4644 - val_distribution_lambda_28_loss: 0.4372\n",
+ "Epoch 1032/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1557 - distribution_lambda_26_loss: 0.4254 - distribution_lambda_27_loss: 1.3614 - distribution_lambda_28_loss: 0.3690 - val_loss: 2.4064 - val_distribution_lambda_26_loss: 0.5085 - val_distribution_lambda_27_loss: 1.4620 - val_distribution_lambda_28_loss: 0.4358\n",
+ "Epoch 1033/2500\n"
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+ "Epoch 1034/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1783 - distribution_lambda_26_loss: 0.4344 - distribution_lambda_27_loss: 1.3619 - distribution_lambda_28_loss: 0.3820 - val_loss: 2.3957 - val_distribution_lambda_26_loss: 0.5030 - val_distribution_lambda_27_loss: 1.4592 - val_distribution_lambda_28_loss: 0.4334\n",
+ "Epoch 1035/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1788 - distribution_lambda_26_loss: 0.4383 - distribution_lambda_27_loss: 1.3693 - distribution_lambda_28_loss: 0.3712 - val_loss: 2.3995 - val_distribution_lambda_26_loss: 0.5051 - val_distribution_lambda_27_loss: 1.4608 - val_distribution_lambda_28_loss: 0.4337\n",
+ "Epoch 1036/2500\n",
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+ "Epoch 1037/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1352 - distribution_lambda_26_loss: 0.4192 - distribution_lambda_27_loss: 1.3527 - distribution_lambda_28_loss: 0.3634 - val_loss: 2.4051 - val_distribution_lambda_26_loss: 0.5103 - val_distribution_lambda_27_loss: 1.4613 - val_distribution_lambda_28_loss: 0.4335\n",
+ "Epoch 1038/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1827 - distribution_lambda_26_loss: 0.4345 - distribution_lambda_27_loss: 1.3660 - distribution_lambda_28_loss: 0.3822 - val_loss: 2.3966 - val_distribution_lambda_26_loss: 0.5063 - val_distribution_lambda_27_loss: 1.4596 - val_distribution_lambda_28_loss: 0.4308\n",
+ "Epoch 1039/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1700 - distribution_lambda_26_loss: 0.4281 - distribution_lambda_27_loss: 1.3600 - distribution_lambda_28_loss: 0.3818 - val_loss: 2.3949 - val_distribution_lambda_26_loss: 0.5051 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4308\n",
+ "Epoch 1040/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1415 - distribution_lambda_26_loss: 0.4357 - distribution_lambda_27_loss: 1.3405 - distribution_lambda_28_loss: 0.3653 - val_loss: 2.3999 - val_distribution_lambda_26_loss: 0.5098 - val_distribution_lambda_27_loss: 1.4588 - val_distribution_lambda_28_loss: 0.4313\n",
+ "Epoch 1041/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1511 - distribution_lambda_26_loss: 0.4201 - distribution_lambda_27_loss: 1.3576 - distribution_lambda_28_loss: 0.3734 - val_loss: 2.3899 - val_distribution_lambda_26_loss: 0.5026 - val_distribution_lambda_27_loss: 1.4582 - val_distribution_lambda_28_loss: 0.4291\n",
+ "Epoch 1042/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1913 - distribution_lambda_26_loss: 0.4503 - distribution_lambda_27_loss: 1.3654 - distribution_lambda_28_loss: 0.3755 - val_loss: 2.3850 - val_distribution_lambda_26_loss: 0.4979 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4281\n",
+ "Epoch 1043/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1825 - distribution_lambda_26_loss: 0.4532 - distribution_lambda_27_loss: 1.3554 - distribution_lambda_28_loss: 0.3740 - val_loss: 2.3927 - val_distribution_lambda_26_loss: 0.5037 - val_distribution_lambda_27_loss: 1.4604 - val_distribution_lambda_28_loss: 0.4285\n",
+ "Epoch 1044/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1976 - distribution_lambda_26_loss: 0.4401 - distribution_lambda_27_loss: 1.3744 - distribution_lambda_28_loss: 0.3831 - val_loss: 2.3944 - val_distribution_lambda_26_loss: 0.5050 - val_distribution_lambda_27_loss: 1.4599 - val_distribution_lambda_28_loss: 0.4294\n",
+ "Epoch 1045/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1431 - distribution_lambda_26_loss: 0.4293 - distribution_lambda_27_loss: 1.3414 - distribution_lambda_28_loss: 0.3724 - val_loss: 2.3926 - val_distribution_lambda_26_loss: 0.5039 - val_distribution_lambda_27_loss: 1.4590 - val_distribution_lambda_28_loss: 0.4297\n",
+ "Epoch 1046/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1763 - distribution_lambda_26_loss: 0.4401 - distribution_lambda_27_loss: 1.3606 - distribution_lambda_28_loss: 0.3757 - val_loss: 2.3993 - val_distribution_lambda_26_loss: 0.5096 - val_distribution_lambda_27_loss: 1.4600 - val_distribution_lambda_28_loss: 0.4297\n",
+ "Epoch 1047/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1388 - distribution_lambda_26_loss: 0.4304 - distribution_lambda_27_loss: 1.3428 - distribution_lambda_28_loss: 0.3656 - val_loss: 2.3863 - val_distribution_lambda_26_loss: 0.4992 - val_distribution_lambda_27_loss: 1.4577 - val_distribution_lambda_28_loss: 0.4294\n",
+ "Epoch 1048/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1666 - distribution_lambda_26_loss: 0.4184 - distribution_lambda_27_loss: 1.3664 - distribution_lambda_28_loss: 0.3818 - val_loss: 2.3807 - val_distribution_lambda_26_loss: 0.4941 - val_distribution_lambda_27_loss: 1.4570 - val_distribution_lambda_28_loss: 0.4296\n",
+ "Epoch 1049/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1856 - distribution_lambda_26_loss: 0.4416 - distribution_lambda_27_loss: 1.3668 - distribution_lambda_28_loss: 0.3773 - val_loss: 2.3798 - val_distribution_lambda_26_loss: 0.4928 - val_distribution_lambda_27_loss: 1.4573 - val_distribution_lambda_28_loss: 0.4298\n",
+ "Epoch 1050/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1498 - distribution_lambda_26_loss: 0.4322 - distribution_lambda_27_loss: 1.3486 - distribution_lambda_28_loss: 0.3690 - val_loss: 2.3781 - val_distribution_lambda_26_loss: 0.4936 - val_distribution_lambda_27_loss: 1.4547 - val_distribution_lambda_28_loss: 0.4299\n",
+ "Epoch 1051/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1494 - distribution_lambda_26_loss: 0.4397 - distribution_lambda_27_loss: 1.3477 - distribution_lambda_28_loss: 0.3619 - val_loss: 2.3673 - val_distribution_lambda_26_loss: 0.4872 - val_distribution_lambda_27_loss: 1.4514 - val_distribution_lambda_28_loss: 0.4287\n",
+ "Epoch 1052/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1659 - distribution_lambda_26_loss: 0.4328 - distribution_lambda_27_loss: 1.3660 - distribution_lambda_28_loss: 0.3671 - val_loss: 2.3723 - val_distribution_lambda_26_loss: 0.4937 - val_distribution_lambda_27_loss: 1.4499 - val_distribution_lambda_28_loss: 0.4287\n",
+ "Epoch 1053/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1446 - distribution_lambda_26_loss: 0.4298 - distribution_lambda_27_loss: 1.3446 - distribution_lambda_28_loss: 0.3703 - val_loss: 2.3733 - val_distribution_lambda_26_loss: 0.4896 - val_distribution_lambda_27_loss: 1.4544 - val_distribution_lambda_28_loss: 0.4293\n",
+ "Epoch 1054/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1466 - distribution_lambda_26_loss: 0.4278 - distribution_lambda_27_loss: 1.3602 - distribution_lambda_28_loss: 0.3587 - val_loss: 2.3720 - val_distribution_lambda_26_loss: 0.4860 - val_distribution_lambda_27_loss: 1.4554 - val_distribution_lambda_28_loss: 0.4306\n",
+ "Epoch 1055/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1386 - distribution_lambda_26_loss: 0.4246 - distribution_lambda_27_loss: 1.3487 - distribution_lambda_28_loss: 0.3653 - val_loss: 2.3679 - val_distribution_lambda_26_loss: 0.4842 - val_distribution_lambda_27_loss: 1.4543 - val_distribution_lambda_28_loss: 0.4294\n",
+ "Epoch 1056/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1191 - distribution_lambda_26_loss: 0.4192 - distribution_lambda_27_loss: 1.3412 - distribution_lambda_28_loss: 0.3586 - val_loss: 2.3680 - val_distribution_lambda_26_loss: 0.4874 - val_distribution_lambda_27_loss: 1.4523 - val_distribution_lambda_28_loss: 0.4283\n",
+ "Epoch 1057/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
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+ "Epoch 1058/2500\n",
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+ "Epoch 1059/2500\n",
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+ "Epoch 1062/2500\n",
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+ "Epoch 1063/2500\n",
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+ "Epoch 1064/2500\n",
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+ "Epoch 1065/2500\n",
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+ "Epoch 1066/2500\n",
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+ "Epoch 1067/2500\n",
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+ "Epoch 1068/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1131 - distribution_lambda_26_loss: 0.4135 - distribution_lambda_27_loss: 1.3361 - distribution_lambda_28_loss: 0.3635 - val_loss: 2.3472 - val_distribution_lambda_26_loss: 0.4717 - val_distribution_lambda_27_loss: 1.4499 - val_distribution_lambda_28_loss: 0.4256\n",
+ "Epoch 1069/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0879 - distribution_lambda_26_loss: 0.3832 - distribution_lambda_27_loss: 1.3521 - distribution_lambda_28_loss: 0.3527 - val_loss: 2.3570 - val_distribution_lambda_26_loss: 0.4783 - val_distribution_lambda_27_loss: 1.4509 - val_distribution_lambda_28_loss: 0.4278\n",
+ "Epoch 1070/2500\n",
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+ "Epoch 1071/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1025 - distribution_lambda_26_loss: 0.3953 - distribution_lambda_27_loss: 1.3459 - distribution_lambda_28_loss: 0.3613 - val_loss: 2.3422 - val_distribution_lambda_26_loss: 0.4728 - val_distribution_lambda_27_loss: 1.4450 - val_distribution_lambda_28_loss: 0.4244\n",
+ "Epoch 1072/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0690 - distribution_lambda_26_loss: 0.3855 - distribution_lambda_27_loss: 1.3310 - distribution_lambda_28_loss: 0.3525 - val_loss: 2.3373 - val_distribution_lambda_26_loss: 0.4706 - val_distribution_lambda_27_loss: 1.4429 - val_distribution_lambda_28_loss: 0.4237\n",
+ "Epoch 1073/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1374 - distribution_lambda_26_loss: 0.4181 - distribution_lambda_27_loss: 1.3492 - distribution_lambda_28_loss: 0.3701 - val_loss: 2.3452 - val_distribution_lambda_26_loss: 0.4777 - val_distribution_lambda_27_loss: 1.4438 - val_distribution_lambda_28_loss: 0.4237\n",
+ "Epoch 1074/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 2.1299 - distribution_lambda_26_loss: 0.4148 - distribution_lambda_27_loss: 1.3530 - distribution_lambda_28_loss: 0.3620 - val_loss: 2.3473 - val_distribution_lambda_26_loss: 0.4793 - val_distribution_lambda_27_loss: 1.4441 - val_distribution_lambda_28_loss: 0.4239\n",
+ "Epoch 1075/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0949 - distribution_lambda_26_loss: 0.4173 - distribution_lambda_27_loss: 1.3316 - distribution_lambda_28_loss: 0.3460 - val_loss: 2.3366 - val_distribution_lambda_26_loss: 0.4716 - val_distribution_lambda_27_loss: 1.4423 - val_distribution_lambda_28_loss: 0.4227\n",
+ "Epoch 1076/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.1140 - distribution_lambda_26_loss: 0.4122 - distribution_lambda_27_loss: 1.3391 - distribution_lambda_28_loss: 0.3626 - val_loss: 2.3408 - val_distribution_lambda_26_loss: 0.4757 - val_distribution_lambda_27_loss: 1.4435 - val_distribution_lambda_28_loss: 0.4216\n",
+ "Epoch 1077/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0899 - distribution_lambda_26_loss: 0.3907 - distribution_lambda_27_loss: 1.3376 - distribution_lambda_28_loss: 0.3616 - val_loss: 2.3347 - val_distribution_lambda_26_loss: 0.4719 - val_distribution_lambda_27_loss: 1.4416 - val_distribution_lambda_28_loss: 0.4212\n",
+ "Epoch 1078/2500\n",
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+ "Epoch 1079/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0757 - distribution_lambda_26_loss: 0.3905 - distribution_lambda_27_loss: 1.3336 - distribution_lambda_28_loss: 0.3516 - val_loss: 2.3289 - val_distribution_lambda_26_loss: 0.4670 - val_distribution_lambda_27_loss: 1.4428 - val_distribution_lambda_28_loss: 0.4191\n",
+ "Epoch 1080/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0914 - distribution_lambda_26_loss: 0.4103 - distribution_lambda_27_loss: 1.3280 - distribution_lambda_28_loss: 0.3530 - val_loss: 2.3274 - val_distribution_lambda_26_loss: 0.4667 - val_distribution_lambda_27_loss: 1.4420 - val_distribution_lambda_28_loss: 0.4187\n",
+ "Epoch 1081/2500\n"
+ ]
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+ "text": [
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+ "Epoch 1082/2500\n",
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+ "Epoch 1085/2500\n",
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+ "Epoch 1086/2500\n",
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+ "Epoch 1087/2500\n",
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+ "Epoch 1088/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0878 - distribution_lambda_26_loss: 0.3973 - distribution_lambda_27_loss: 1.3289 - distribution_lambda_28_loss: 0.3617 - val_loss: 2.3172 - val_distribution_lambda_26_loss: 0.4594 - val_distribution_lambda_27_loss: 1.4385 - val_distribution_lambda_28_loss: 0.4193\n",
+ "Epoch 1089/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0503 - distribution_lambda_26_loss: 0.3972 - distribution_lambda_27_loss: 1.3093 - distribution_lambda_28_loss: 0.3438 - val_loss: 2.3237 - val_distribution_lambda_26_loss: 0.4651 - val_distribution_lambda_27_loss: 1.4391 - val_distribution_lambda_28_loss: 0.4195\n",
+ "Epoch 1090/2500\n",
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+ "Epoch 1091/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0738 - distribution_lambda_26_loss: 0.3881 - distribution_lambda_27_loss: 1.3259 - distribution_lambda_28_loss: 0.3598 - val_loss: 2.3139 - val_distribution_lambda_26_loss: 0.4593 - val_distribution_lambda_27_loss: 1.4387 - val_distribution_lambda_28_loss: 0.4159\n",
+ "Epoch 1092/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0452 - distribution_lambda_26_loss: 0.3765 - distribution_lambda_27_loss: 1.3305 - distribution_lambda_28_loss: 0.3382 - val_loss: 2.3158 - val_distribution_lambda_26_loss: 0.4622 - val_distribution_lambda_27_loss: 1.4381 - val_distribution_lambda_28_loss: 0.4155\n",
+ "Epoch 1093/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0547 - distribution_lambda_26_loss: 0.3721 - distribution_lambda_27_loss: 1.3272 - distribution_lambda_28_loss: 0.3554 - val_loss: 2.3135 - val_distribution_lambda_26_loss: 0.4599 - val_distribution_lambda_27_loss: 1.4385 - val_distribution_lambda_28_loss: 0.4151\n",
+ "Epoch 1094/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0721 - distribution_lambda_26_loss: 0.3936 - distribution_lambda_27_loss: 1.3262 - distribution_lambda_28_loss: 0.3523 - val_loss: 2.3120 - val_distribution_lambda_26_loss: 0.4612 - val_distribution_lambda_27_loss: 1.4358 - val_distribution_lambda_28_loss: 0.4151\n",
+ "Epoch 1095/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0661 - distribution_lambda_26_loss: 0.3870 - distribution_lambda_27_loss: 1.3211 - distribution_lambda_28_loss: 0.3581 - val_loss: 2.2983 - val_distribution_lambda_26_loss: 0.4513 - val_distribution_lambda_27_loss: 1.4335 - val_distribution_lambda_28_loss: 0.4135\n",
+ "Epoch 1096/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0698 - distribution_lambda_26_loss: 0.4038 - distribution_lambda_27_loss: 1.3188 - distribution_lambda_28_loss: 0.3472 - val_loss: 2.2991 - val_distribution_lambda_26_loss: 0.4517 - val_distribution_lambda_27_loss: 1.4348 - val_distribution_lambda_28_loss: 0.4127\n",
+ "Epoch 1097/2500\n",
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+ "Epoch 1098/2500\n",
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+ "Epoch 1099/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0206 - distribution_lambda_26_loss: 0.3824 - distribution_lambda_27_loss: 1.3024 - distribution_lambda_28_loss: 0.3358 - val_loss: 2.2909 - val_distribution_lambda_26_loss: 0.4498 - val_distribution_lambda_27_loss: 1.4320 - val_distribution_lambda_28_loss: 0.4091\n",
+ "Epoch 1100/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0373 - distribution_lambda_26_loss: 0.3804 - distribution_lambda_27_loss: 1.3197 - distribution_lambda_28_loss: 0.3372 - val_loss: 2.2958 - val_distribution_lambda_26_loss: 0.4530 - val_distribution_lambda_27_loss: 1.4329 - val_distribution_lambda_28_loss: 0.4099\n",
+ "Epoch 1101/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0206 - distribution_lambda_26_loss: 0.3689 - distribution_lambda_27_loss: 1.3092 - distribution_lambda_28_loss: 0.3425 - val_loss: 2.2935 - val_distribution_lambda_26_loss: 0.4550 - val_distribution_lambda_27_loss: 1.4299 - val_distribution_lambda_28_loss: 0.4086\n",
+ "Epoch 1102/2500\n",
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+ "Epoch 1103/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0420 - distribution_lambda_26_loss: 0.3818 - distribution_lambda_27_loss: 1.3208 - distribution_lambda_28_loss: 0.3393 - val_loss: 2.2908 - val_distribution_lambda_26_loss: 0.4497 - val_distribution_lambda_27_loss: 1.4347 - val_distribution_lambda_28_loss: 0.4064\n",
+ "Epoch 1104/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0389 - distribution_lambda_26_loss: 0.3744 - distribution_lambda_27_loss: 1.3220 - distribution_lambda_28_loss: 0.3426 - val_loss: 2.2825 - val_distribution_lambda_26_loss: 0.4456 - val_distribution_lambda_27_loss: 1.4313 - val_distribution_lambda_28_loss: 0.4056\n",
+ "Epoch 1105/2500\n"
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+ "Epoch 1111/2500\n",
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+ "Epoch 1112/2500\n",
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+ "Epoch 1113/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0289 - distribution_lambda_26_loss: 0.3608 - distribution_lambda_27_loss: 1.3138 - distribution_lambda_28_loss: 0.3543 - val_loss: 2.2535 - val_distribution_lambda_26_loss: 0.4366 - val_distribution_lambda_27_loss: 1.4150 - val_distribution_lambda_28_loss: 0.4019\n",
+ "Epoch 1114/2500\n",
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+ "Epoch 1115/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0182 - distribution_lambda_26_loss: 0.3669 - distribution_lambda_27_loss: 1.3052 - distribution_lambda_28_loss: 0.3461 - val_loss: 2.2592 - val_distribution_lambda_26_loss: 0.4422 - val_distribution_lambda_27_loss: 1.4161 - val_distribution_lambda_28_loss: 0.4009\n",
+ "Epoch 1116/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0634 - distribution_lambda_26_loss: 0.3818 - distribution_lambda_27_loss: 1.3314 - distribution_lambda_28_loss: 0.3502 - val_loss: 2.2650 - val_distribution_lambda_26_loss: 0.4450 - val_distribution_lambda_27_loss: 1.4184 - val_distribution_lambda_28_loss: 0.4016\n",
+ "Epoch 1117/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 2.0373 - distribution_lambda_26_loss: 0.3607 - distribution_lambda_27_loss: 1.3185 - distribution_lambda_28_loss: 0.3581 - val_loss: 2.2542 - val_distribution_lambda_26_loss: 0.4411 - val_distribution_lambda_27_loss: 1.4154 - val_distribution_lambda_28_loss: 0.3977\n",
+ "Epoch 1118/2500\n",
+ "8/8 [==============================] - 0s 9ms/step - loss: 2.0434 - distribution_lambda_26_loss: 0.3773 - distribution_lambda_27_loss: 1.3149 - distribution_lambda_28_loss: 0.3513 - val_loss: 2.2467 - val_distribution_lambda_26_loss: 0.4369 - val_distribution_lambda_27_loss: 1.4121 - val_distribution_lambda_28_loss: 0.3978\n",
+ "Epoch 1119/2500\n",
+ "8/8 [==============================] - 0s 11ms/step - loss: 2.0718 - distribution_lambda_26_loss: 0.3833 - distribution_lambda_27_loss: 1.3267 - distribution_lambda_28_loss: 0.3618 - val_loss: 2.2441 - val_distribution_lambda_26_loss: 0.4349 - val_distribution_lambda_27_loss: 1.4120 - val_distribution_lambda_28_loss: 0.3971\n",
+ "Epoch 1120/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 2.0550 - distribution_lambda_26_loss: 0.3675 - distribution_lambda_27_loss: 1.3276 - distribution_lambda_28_loss: 0.3600 - val_loss: 2.2535 - val_distribution_lambda_26_loss: 0.4424 - val_distribution_lambda_27_loss: 1.4138 - val_distribution_lambda_28_loss: 0.3973\n",
+ "Epoch 1121/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 2.0543 - distribution_lambda_26_loss: 0.3869 - distribution_lambda_27_loss: 1.3230 - distribution_lambda_28_loss: 0.3444 - val_loss: 2.2439 - val_distribution_lambda_26_loss: 0.4370 - val_distribution_lambda_27_loss: 1.4106 - val_distribution_lambda_28_loss: 0.3964\n",
+ "Epoch 1122/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0133 - distribution_lambda_26_loss: 0.3621 - distribution_lambda_27_loss: 1.3130 - distribution_lambda_28_loss: 0.3382 - val_loss: 2.2535 - val_distribution_lambda_26_loss: 0.4435 - val_distribution_lambda_27_loss: 1.4137 - val_distribution_lambda_28_loss: 0.3963\n",
+ "Epoch 1123/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0452 - distribution_lambda_26_loss: 0.3666 - distribution_lambda_27_loss: 1.3294 - distribution_lambda_28_loss: 0.3492 - val_loss: 2.2406 - val_distribution_lambda_26_loss: 0.4366 - val_distribution_lambda_27_loss: 1.4071 - val_distribution_lambda_28_loss: 0.3970\n",
+ "Epoch 1124/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0002 - distribution_lambda_26_loss: 0.3748 - distribution_lambda_27_loss: 1.2993 - distribution_lambda_28_loss: 0.3261 - val_loss: 2.2399 - val_distribution_lambda_26_loss: 0.4369 - val_distribution_lambda_27_loss: 1.4063 - val_distribution_lambda_28_loss: 0.3967\n",
+ "Epoch 1125/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0036 - distribution_lambda_26_loss: 0.3642 - distribution_lambda_27_loss: 1.2953 - distribution_lambda_28_loss: 0.3442 - val_loss: 2.2363 - val_distribution_lambda_26_loss: 0.4341 - val_distribution_lambda_27_loss: 1.4063 - val_distribution_lambda_28_loss: 0.3959\n",
+ "Epoch 1126/2500\n",
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+ "Epoch 1127/2500\n",
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+ "Epoch 1128/2500\n",
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+ "Epoch 1129/2500\n"
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+ "Epoch 1130/2500\n",
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+ "Epoch 1131/2500\n",
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+ "Epoch 1133/2500\n",
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+ "Epoch 1134/2500\n",
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+ "Epoch 1135/2500\n",
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+ "Epoch 1136/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9646 - distribution_lambda_26_loss: 0.3468 - distribution_lambda_27_loss: 1.2802 - distribution_lambda_28_loss: 0.3376 - val_loss: 2.2159 - val_distribution_lambda_26_loss: 0.4367 - val_distribution_lambda_27_loss: 1.3962 - val_distribution_lambda_28_loss: 0.3829\n",
+ "Epoch 1137/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9645 - distribution_lambda_26_loss: 0.3369 - distribution_lambda_27_loss: 1.2921 - distribution_lambda_28_loss: 0.3355 - val_loss: 2.2105 - val_distribution_lambda_26_loss: 0.4308 - val_distribution_lambda_27_loss: 1.3978 - val_distribution_lambda_28_loss: 0.3819\n",
+ "Epoch 1138/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9971 - distribution_lambda_26_loss: 0.3676 - distribution_lambda_27_loss: 1.2979 - distribution_lambda_28_loss: 0.3316 - val_loss: 2.2106 - val_distribution_lambda_26_loss: 0.4265 - val_distribution_lambda_27_loss: 1.4009 - val_distribution_lambda_28_loss: 0.3832\n",
+ "Epoch 1139/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0234 - distribution_lambda_26_loss: 0.3694 - distribution_lambda_27_loss: 1.3135 - distribution_lambda_28_loss: 0.3406 - val_loss: 2.1997 - val_distribution_lambda_26_loss: 0.4215 - val_distribution_lambda_27_loss: 1.3959 - val_distribution_lambda_28_loss: 0.3824\n",
+ "Epoch 1140/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0068 - distribution_lambda_26_loss: 0.3553 - distribution_lambda_27_loss: 1.3013 - distribution_lambda_28_loss: 0.3502 - val_loss: 2.2071 - val_distribution_lambda_26_loss: 0.4317 - val_distribution_lambda_27_loss: 1.3933 - val_distribution_lambda_28_loss: 0.3821\n",
+ "Epoch 1141/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 2.0014 - distribution_lambda_26_loss: 0.3677 - distribution_lambda_27_loss: 1.2925 - distribution_lambda_28_loss: 0.3412 - val_loss: 2.2096 - val_distribution_lambda_26_loss: 0.4328 - val_distribution_lambda_27_loss: 1.3944 - val_distribution_lambda_28_loss: 0.3825\n",
+ "Epoch 1142/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9617 - distribution_lambda_26_loss: 0.3498 - distribution_lambda_27_loss: 1.2875 - distribution_lambda_28_loss: 0.3244 - val_loss: 2.1914 - val_distribution_lambda_26_loss: 0.4175 - val_distribution_lambda_27_loss: 1.3918 - val_distribution_lambda_28_loss: 0.3821\n",
+ "Epoch 1143/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9928 - distribution_lambda_26_loss: 0.3690 - distribution_lambda_27_loss: 1.2955 - distribution_lambda_28_loss: 0.3284 - val_loss: 2.1940 - val_distribution_lambda_26_loss: 0.4199 - val_distribution_lambda_27_loss: 1.3926 - val_distribution_lambda_28_loss: 0.3815\n",
+ "Epoch 1144/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9687 - distribution_lambda_26_loss: 0.3443 - distribution_lambda_27_loss: 1.2902 - distribution_lambda_28_loss: 0.3342 - val_loss: 2.1954 - val_distribution_lambda_26_loss: 0.4242 - val_distribution_lambda_27_loss: 1.3914 - val_distribution_lambda_28_loss: 0.3799\n",
+ "Epoch 1145/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 2.0058 - distribution_lambda_26_loss: 0.3700 - distribution_lambda_27_loss: 1.2938 - distribution_lambda_28_loss: 0.3420 - val_loss: 2.2059 - val_distribution_lambda_26_loss: 0.4350 - val_distribution_lambda_27_loss: 1.3901 - val_distribution_lambda_28_loss: 0.3808\n",
+ "Epoch 1146/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9693 - distribution_lambda_26_loss: 0.3514 - distribution_lambda_27_loss: 1.2807 - distribution_lambda_28_loss: 0.3371 - val_loss: 2.1941 - val_distribution_lambda_26_loss: 0.4304 - val_distribution_lambda_27_loss: 1.3840 - val_distribution_lambda_28_loss: 0.3797\n",
+ "Epoch 1147/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9745 - distribution_lambda_26_loss: 0.3547 - distribution_lambda_27_loss: 1.2921 - distribution_lambda_28_loss: 0.3277 - val_loss: 2.1924 - val_distribution_lambda_26_loss: 0.4263 - val_distribution_lambda_27_loss: 1.3859 - val_distribution_lambda_28_loss: 0.3801\n",
+ "Epoch 1148/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9676 - distribution_lambda_26_loss: 0.3622 - distribution_lambda_27_loss: 1.2806 - distribution_lambda_28_loss: 0.3248 - val_loss: 2.1871 - val_distribution_lambda_26_loss: 0.4210 - val_distribution_lambda_27_loss: 1.3871 - val_distribution_lambda_28_loss: 0.3790\n",
+ "Epoch 1149/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9725 - distribution_lambda_26_loss: 0.3579 - distribution_lambda_27_loss: 1.2811 - distribution_lambda_28_loss: 0.3335 - val_loss: 2.1995 - val_distribution_lambda_26_loss: 0.4257 - val_distribution_lambda_27_loss: 1.3926 - val_distribution_lambda_28_loss: 0.3813\n",
+ "Epoch 1150/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9421 - distribution_lambda_26_loss: 0.3297 - distribution_lambda_27_loss: 1.2880 - distribution_lambda_28_loss: 0.3244 - val_loss: 2.2089 - val_distribution_lambda_26_loss: 0.4335 - val_distribution_lambda_27_loss: 1.3920 - val_distribution_lambda_28_loss: 0.3835\n",
+ "Epoch 1151/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9782 - distribution_lambda_26_loss: 0.3447 - distribution_lambda_27_loss: 1.3003 - distribution_lambda_28_loss: 0.3332 - val_loss: 2.1908 - val_distribution_lambda_26_loss: 0.4198 - val_distribution_lambda_27_loss: 1.3890 - val_distribution_lambda_28_loss: 0.3820\n",
+ "Epoch 1152/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9529 - distribution_lambda_26_loss: 0.3411 - distribution_lambda_27_loss: 1.2871 - distribution_lambda_28_loss: 0.3247 - val_loss: 2.1901 - val_distribution_lambda_26_loss: 0.4230 - val_distribution_lambda_27_loss: 1.3876 - val_distribution_lambda_28_loss: 0.3795\n",
+ "Epoch 1153/2500\n"
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+ "Epoch 1154/2500\n",
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+ "Epoch 1155/2500\n",
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+ "Epoch 1156/2500\n",
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+ "Epoch 1157/2500\n",
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+ "Epoch 1158/2500\n",
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+ "Epoch 1159/2500\n",
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+ "Epoch 1160/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9249 - distribution_lambda_26_loss: 0.3475 - distribution_lambda_27_loss: 1.2628 - distribution_lambda_28_loss: 0.3146 - val_loss: 2.1622 - val_distribution_lambda_26_loss: 0.4166 - val_distribution_lambda_27_loss: 1.3764 - val_distribution_lambda_28_loss: 0.3692\n",
+ "Epoch 1161/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9449 - distribution_lambda_26_loss: 0.3432 - distribution_lambda_27_loss: 1.2787 - distribution_lambda_28_loss: 0.3230 - val_loss: 2.1627 - val_distribution_lambda_26_loss: 0.4189 - val_distribution_lambda_27_loss: 1.3749 - val_distribution_lambda_28_loss: 0.3689\n",
+ "Epoch 1162/2500\n",
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+ "Epoch 1163/2500\n",
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+ "Epoch 1164/2500\n",
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+ "Epoch 1165/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9246 - distribution_lambda_26_loss: 0.3259 - distribution_lambda_27_loss: 1.2736 - distribution_lambda_28_loss: 0.3251 - val_loss: 2.1673 - val_distribution_lambda_26_loss: 0.4266 - val_distribution_lambda_27_loss: 1.3749 - val_distribution_lambda_28_loss: 0.3658\n",
+ "Epoch 1166/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9895 - distribution_lambda_26_loss: 0.3571 - distribution_lambda_27_loss: 1.2973 - distribution_lambda_28_loss: 0.3351 - val_loss: 2.1784 - val_distribution_lambda_26_loss: 0.4362 - val_distribution_lambda_27_loss: 1.3758 - val_distribution_lambda_28_loss: 0.3665\n",
+ "Epoch 1167/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.9405 - distribution_lambda_26_loss: 0.3450 - distribution_lambda_27_loss: 1.2716 - distribution_lambda_28_loss: 0.3239 - val_loss: 2.1617 - val_distribution_lambda_26_loss: 0.4230 - val_distribution_lambda_27_loss: 1.3713 - val_distribution_lambda_28_loss: 0.3674\n",
+ "Epoch 1168/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9627 - distribution_lambda_26_loss: 0.3666 - distribution_lambda_27_loss: 1.2785 - distribution_lambda_28_loss: 0.3177 - val_loss: 2.1460 - val_distribution_lambda_26_loss: 0.4131 - val_distribution_lambda_27_loss: 1.3684 - val_distribution_lambda_28_loss: 0.3646\n",
+ "Epoch 1169/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9517 - distribution_lambda_26_loss: 0.3501 - distribution_lambda_27_loss: 1.2805 - distribution_lambda_28_loss: 0.3211 - val_loss: 2.1632 - val_distribution_lambda_26_loss: 0.4218 - val_distribution_lambda_27_loss: 1.3746 - val_distribution_lambda_28_loss: 0.3668\n",
+ "Epoch 1170/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9228 - distribution_lambda_26_loss: 0.3272 - distribution_lambda_27_loss: 1.2750 - distribution_lambda_28_loss: 0.3207 - val_loss: 2.1723 - val_distribution_lambda_26_loss: 0.4271 - val_distribution_lambda_27_loss: 1.3757 - val_distribution_lambda_28_loss: 0.3695\n",
+ "Epoch 1171/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9098 - distribution_lambda_26_loss: 0.3295 - distribution_lambda_27_loss: 1.2634 - distribution_lambda_28_loss: 0.3169 - val_loss: 2.1703 - val_distribution_lambda_26_loss: 0.4293 - val_distribution_lambda_27_loss: 1.3740 - val_distribution_lambda_28_loss: 0.3671\n",
+ "Epoch 1172/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9334 - distribution_lambda_26_loss: 0.3394 - distribution_lambda_27_loss: 1.2688 - distribution_lambda_28_loss: 0.3252 - val_loss: 2.1626 - val_distribution_lambda_26_loss: 0.4275 - val_distribution_lambda_27_loss: 1.3705 - val_distribution_lambda_28_loss: 0.3646\n",
+ "Epoch 1173/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9249 - distribution_lambda_26_loss: 0.3307 - distribution_lambda_27_loss: 1.2621 - distribution_lambda_28_loss: 0.3321 - val_loss: 2.1554 - val_distribution_lambda_26_loss: 0.4246 - val_distribution_lambda_27_loss: 1.3681 - val_distribution_lambda_28_loss: 0.3627\n",
+ "Epoch 1174/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9431 - distribution_lambda_26_loss: 0.3240 - distribution_lambda_27_loss: 1.2846 - distribution_lambda_28_loss: 0.3345 - val_loss: 2.1513 - val_distribution_lambda_26_loss: 0.4209 - val_distribution_lambda_27_loss: 1.3671 - val_distribution_lambda_28_loss: 0.3633\n",
+ "Epoch 1175/2500\n",
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+ "Epoch 1176/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9553 - distribution_lambda_26_loss: 0.3349 - distribution_lambda_27_loss: 1.2906 - distribution_lambda_28_loss: 0.3297 - val_loss: 2.1321 - val_distribution_lambda_26_loss: 0.4108 - val_distribution_lambda_27_loss: 1.3596 - val_distribution_lambda_28_loss: 0.3616\n",
+ "Epoch 1177/2500\n"
+ ]
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+ "Epoch 1178/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9383 - distribution_lambda_26_loss: 0.3512 - distribution_lambda_27_loss: 1.2649 - distribution_lambda_28_loss: 0.3222 - val_loss: 2.1299 - val_distribution_lambda_26_loss: 0.4093 - val_distribution_lambda_27_loss: 1.3607 - val_distribution_lambda_28_loss: 0.3599\n",
+ "Epoch 1179/2500\n",
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+ "Epoch 1180/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9202 - distribution_lambda_26_loss: 0.3423 - distribution_lambda_27_loss: 1.2725 - distribution_lambda_28_loss: 0.3054 - val_loss: 2.1289 - val_distribution_lambda_26_loss: 0.4157 - val_distribution_lambda_27_loss: 1.3568 - val_distribution_lambda_28_loss: 0.3563\n",
+ "Epoch 1181/2500\n",
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+ "Epoch 1182/2500\n",
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+ "Epoch 1183/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9666 - distribution_lambda_26_loss: 0.3377 - distribution_lambda_27_loss: 1.2928 - distribution_lambda_28_loss: 0.3361 - val_loss: 2.1267 - val_distribution_lambda_26_loss: 0.4234 - val_distribution_lambda_27_loss: 1.3523 - val_distribution_lambda_28_loss: 0.3510\n",
+ "Epoch 1184/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9016 - distribution_lambda_26_loss: 0.3436 - distribution_lambda_27_loss: 1.2535 - distribution_lambda_28_loss: 0.3045 - val_loss: 2.1275 - val_distribution_lambda_26_loss: 0.4236 - val_distribution_lambda_27_loss: 1.3527 - val_distribution_lambda_28_loss: 0.3512\n",
+ "Epoch 1185/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9280 - distribution_lambda_26_loss: 0.3380 - distribution_lambda_27_loss: 1.2747 - distribution_lambda_28_loss: 0.3154 - val_loss: 2.1170 - val_distribution_lambda_26_loss: 0.4136 - val_distribution_lambda_27_loss: 1.3521 - val_distribution_lambda_28_loss: 0.3513\n",
+ "Epoch 1186/2500\n",
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+ "Epoch 1187/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8950 - distribution_lambda_26_loss: 0.3322 - distribution_lambda_27_loss: 1.2505 - distribution_lambda_28_loss: 0.3124 - val_loss: 2.1204 - val_distribution_lambda_26_loss: 0.4184 - val_distribution_lambda_27_loss: 1.3495 - val_distribution_lambda_28_loss: 0.3526\n",
+ "Epoch 1188/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9061 - distribution_lambda_26_loss: 0.3184 - distribution_lambda_27_loss: 1.2753 - distribution_lambda_28_loss: 0.3125 - val_loss: 2.1221 - val_distribution_lambda_26_loss: 0.4149 - val_distribution_lambda_27_loss: 1.3546 - val_distribution_lambda_28_loss: 0.3527\n",
+ "Epoch 1189/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9241 - distribution_lambda_26_loss: 0.3224 - distribution_lambda_27_loss: 1.2744 - distribution_lambda_28_loss: 0.3273 - val_loss: 2.1292 - val_distribution_lambda_26_loss: 0.4165 - val_distribution_lambda_27_loss: 1.3592 - val_distribution_lambda_28_loss: 0.3535\n",
+ "Epoch 1190/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9438 - distribution_lambda_26_loss: 0.3305 - distribution_lambda_27_loss: 1.2769 - distribution_lambda_28_loss: 0.3363 - val_loss: 2.1157 - val_distribution_lambda_26_loss: 0.4101 - val_distribution_lambda_27_loss: 1.3556 - val_distribution_lambda_28_loss: 0.3499\n",
+ "Epoch 1191/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9032 - distribution_lambda_26_loss: 0.3279 - distribution_lambda_27_loss: 1.2723 - distribution_lambda_28_loss: 0.3029 - val_loss: 2.1116 - val_distribution_lambda_26_loss: 0.4119 - val_distribution_lambda_27_loss: 1.3517 - val_distribution_lambda_28_loss: 0.3481\n",
+ "Epoch 1192/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9272 - distribution_lambda_26_loss: 0.3478 - distribution_lambda_27_loss: 1.2666 - distribution_lambda_28_loss: 0.3127 - val_loss: 2.1161 - val_distribution_lambda_26_loss: 0.4189 - val_distribution_lambda_27_loss: 1.3486 - val_distribution_lambda_28_loss: 0.3487\n",
+ "Epoch 1193/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9224 - distribution_lambda_26_loss: 0.3498 - distribution_lambda_27_loss: 1.2622 - distribution_lambda_28_loss: 0.3104 - val_loss: 2.1090 - val_distribution_lambda_26_loss: 0.4164 - val_distribution_lambda_27_loss: 1.3464 - val_distribution_lambda_28_loss: 0.3463\n",
+ "Epoch 1194/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8902 - distribution_lambda_26_loss: 0.3176 - distribution_lambda_27_loss: 1.2557 - distribution_lambda_28_loss: 0.3169 - val_loss: 2.0983 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.3454 - val_distribution_lambda_28_loss: 0.3429\n",
+ "Epoch 1195/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9395 - distribution_lambda_26_loss: 0.3506 - distribution_lambda_27_loss: 1.2698 - distribution_lambda_28_loss: 0.3191 - val_loss: 2.1180 - val_distribution_lambda_26_loss: 0.4230 - val_distribution_lambda_27_loss: 1.3499 - val_distribution_lambda_28_loss: 0.3451\n",
+ "Epoch 1196/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9019 - distribution_lambda_26_loss: 0.3382 - distribution_lambda_27_loss: 1.2591 - distribution_lambda_28_loss: 0.3045 - val_loss: 2.1053 - val_distribution_lambda_26_loss: 0.4089 - val_distribution_lambda_27_loss: 1.3492 - val_distribution_lambda_28_loss: 0.3472\n",
+ "Epoch 1197/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8891 - distribution_lambda_26_loss: 0.3180 - distribution_lambda_27_loss: 1.2478 - distribution_lambda_28_loss: 0.3234 - val_loss: 2.1190 - val_distribution_lambda_26_loss: 0.4235 - val_distribution_lambda_27_loss: 1.3490 - val_distribution_lambda_28_loss: 0.3465\n",
+ "Epoch 1198/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8825 - distribution_lambda_26_loss: 0.3357 - distribution_lambda_27_loss: 1.2556 - distribution_lambda_28_loss: 0.2912 - val_loss: 2.1007 - val_distribution_lambda_26_loss: 0.4147 - val_distribution_lambda_27_loss: 1.3442 - val_distribution_lambda_28_loss: 0.3418\n",
+ "Epoch 1199/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8999 - distribution_lambda_26_loss: 0.3318 - distribution_lambda_27_loss: 1.2524 - distribution_lambda_28_loss: 0.3157 - val_loss: 2.0869 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.3401 - val_distribution_lambda_28_loss: 0.3397\n",
+ "Epoch 1200/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9427 - distribution_lambda_26_loss: 0.3279 - distribution_lambda_27_loss: 1.2804 - distribution_lambda_28_loss: 0.3344 - val_loss: 2.1034 - val_distribution_lambda_26_loss: 0.4188 - val_distribution_lambda_27_loss: 1.3400 - val_distribution_lambda_28_loss: 0.3446\n",
+ "Epoch 1201/2500\n"
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+ "Epoch 1202/2500\n",
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+ "Epoch 1203/2500\n",
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+ "Epoch 1204/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8799 - distribution_lambda_26_loss: 0.3296 - distribution_lambda_27_loss: 1.2531 - distribution_lambda_28_loss: 0.2973 - val_loss: 2.0984 - val_distribution_lambda_26_loss: 0.4267 - val_distribution_lambda_27_loss: 1.3334 - val_distribution_lambda_28_loss: 0.3383\n",
+ "Epoch 1205/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9108 - distribution_lambda_26_loss: 0.3324 - distribution_lambda_27_loss: 1.2535 - distribution_lambda_28_loss: 0.3248 - val_loss: 2.0760 - val_distribution_lambda_26_loss: 0.4032 - val_distribution_lambda_27_loss: 1.3347 - val_distribution_lambda_28_loss: 0.3381\n",
+ "Epoch 1206/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9278 - distribution_lambda_26_loss: 0.3369 - distribution_lambda_27_loss: 1.2716 - distribution_lambda_28_loss: 0.3192 - val_loss: 2.0749 - val_distribution_lambda_26_loss: 0.4089 - val_distribution_lambda_27_loss: 1.3306 - val_distribution_lambda_28_loss: 0.3355\n",
+ "Epoch 1207/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9226 - distribution_lambda_26_loss: 0.3324 - distribution_lambda_27_loss: 1.2628 - distribution_lambda_28_loss: 0.3274 - val_loss: 2.0765 - val_distribution_lambda_26_loss: 0.4082 - val_distribution_lambda_27_loss: 1.3321 - val_distribution_lambda_28_loss: 0.3362\n",
+ "Epoch 1208/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8793 - distribution_lambda_26_loss: 0.3326 - distribution_lambda_27_loss: 1.2382 - distribution_lambda_28_loss: 0.3085 - val_loss: 2.0953 - val_distribution_lambda_26_loss: 0.4273 - val_distribution_lambda_27_loss: 1.3315 - val_distribution_lambda_28_loss: 0.3364\n",
+ "Epoch 1209/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9060 - distribution_lambda_26_loss: 0.3292 - distribution_lambda_27_loss: 1.2682 - distribution_lambda_28_loss: 0.3086 - val_loss: 2.0955 - val_distribution_lambda_26_loss: 0.4240 - val_distribution_lambda_27_loss: 1.3356 - val_distribution_lambda_28_loss: 0.3359\n",
+ "Epoch 1210/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9024 - distribution_lambda_26_loss: 0.3367 - distribution_lambda_27_loss: 1.2516 - distribution_lambda_28_loss: 0.3141 - val_loss: 2.0975 - val_distribution_lambda_26_loss: 0.4273 - val_distribution_lambda_27_loss: 1.3309 - val_distribution_lambda_28_loss: 0.3393\n",
+ "Epoch 1211/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8730 - distribution_lambda_26_loss: 0.3283 - distribution_lambda_27_loss: 1.2427 - distribution_lambda_28_loss: 0.3019 - val_loss: 2.0813 - val_distribution_lambda_26_loss: 0.4166 - val_distribution_lambda_27_loss: 1.3294 - val_distribution_lambda_28_loss: 0.3353\n",
+ "Epoch 1212/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8636 - distribution_lambda_26_loss: 0.3244 - distribution_lambda_27_loss: 1.2340 - distribution_lambda_28_loss: 0.3052 - val_loss: 2.0831 - val_distribution_lambda_26_loss: 0.4159 - val_distribution_lambda_27_loss: 1.3310 - val_distribution_lambda_28_loss: 0.3361\n",
+ "Epoch 1213/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8674 - distribution_lambda_26_loss: 0.3162 - distribution_lambda_27_loss: 1.2549 - distribution_lambda_28_loss: 0.2963 - val_loss: 2.0799 - val_distribution_lambda_26_loss: 0.4151 - val_distribution_lambda_27_loss: 1.3296 - val_distribution_lambda_28_loss: 0.3353\n",
+ "Epoch 1214/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8446 - distribution_lambda_26_loss: 0.3285 - distribution_lambda_27_loss: 1.2158 - distribution_lambda_28_loss: 0.3003 - val_loss: 2.0881 - val_distribution_lambda_26_loss: 0.4220 - val_distribution_lambda_27_loss: 1.3303 - val_distribution_lambda_28_loss: 0.3358\n",
+ "Epoch 1215/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8966 - distribution_lambda_26_loss: 0.3374 - distribution_lambda_27_loss: 1.2477 - distribution_lambda_28_loss: 0.3115 - val_loss: 2.0782 - val_distribution_lambda_26_loss: 0.4172 - val_distribution_lambda_27_loss: 1.3269 - val_distribution_lambda_28_loss: 0.3341\n",
+ "Epoch 1216/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8091 - distribution_lambda_26_loss: 0.2950 - distribution_lambda_27_loss: 1.2254 - distribution_lambda_28_loss: 0.2887 - val_loss: 2.0718 - val_distribution_lambda_26_loss: 0.4137 - val_distribution_lambda_27_loss: 1.3264 - val_distribution_lambda_28_loss: 0.3317\n",
+ "Epoch 1217/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8917 - distribution_lambda_26_loss: 0.3225 - distribution_lambda_27_loss: 1.2609 - distribution_lambda_28_loss: 0.3083 - val_loss: 2.0772 - val_distribution_lambda_26_loss: 0.4203 - val_distribution_lambda_27_loss: 1.3260 - val_distribution_lambda_28_loss: 0.3310\n",
+ "Epoch 1218/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8634 - distribution_lambda_26_loss: 0.3154 - distribution_lambda_27_loss: 1.2375 - distribution_lambda_28_loss: 0.3105 - val_loss: 2.0781 - val_distribution_lambda_26_loss: 0.4235 - val_distribution_lambda_27_loss: 1.3260 - val_distribution_lambda_28_loss: 0.3286\n",
+ "Epoch 1219/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9059 - distribution_lambda_26_loss: 0.3250 - distribution_lambda_27_loss: 1.2734 - distribution_lambda_28_loss: 0.3075 - val_loss: 2.0858 - val_distribution_lambda_26_loss: 0.4324 - val_distribution_lambda_27_loss: 1.3228 - val_distribution_lambda_28_loss: 0.3306\n",
+ "Epoch 1220/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8586 - distribution_lambda_26_loss: 0.3223 - distribution_lambda_27_loss: 1.2293 - distribution_lambda_28_loss: 0.3070 - val_loss: 2.0634 - val_distribution_lambda_26_loss: 0.4199 - val_distribution_lambda_27_loss: 1.3159 - val_distribution_lambda_28_loss: 0.3277\n",
+ "Epoch 1221/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8576 - distribution_lambda_26_loss: 0.3141 - distribution_lambda_27_loss: 1.2422 - distribution_lambda_28_loss: 0.3013 - val_loss: 2.0492 - val_distribution_lambda_26_loss: 0.4104 - val_distribution_lambda_27_loss: 1.3136 - val_distribution_lambda_28_loss: 0.3252\n",
+ "Epoch 1222/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8787 - distribution_lambda_26_loss: 0.3219 - distribution_lambda_27_loss: 1.2528 - distribution_lambda_28_loss: 0.3041 - val_loss: 2.0624 - val_distribution_lambda_26_loss: 0.4160 - val_distribution_lambda_27_loss: 1.3172 - val_distribution_lambda_28_loss: 0.3292\n",
+ "Epoch 1223/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8581 - distribution_lambda_26_loss: 0.3109 - distribution_lambda_27_loss: 1.2420 - distribution_lambda_28_loss: 0.3053 - val_loss: 2.0597 - val_distribution_lambda_26_loss: 0.4114 - val_distribution_lambda_27_loss: 1.3173 - val_distribution_lambda_28_loss: 0.3310\n",
+ "Epoch 1224/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8560 - distribution_lambda_26_loss: 0.3337 - distribution_lambda_27_loss: 1.2256 - distribution_lambda_28_loss: 0.2967 - val_loss: 2.0637 - val_distribution_lambda_26_loss: 0.4153 - val_distribution_lambda_27_loss: 1.3180 - val_distribution_lambda_28_loss: 0.3303\n",
+ "Epoch 1225/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8865 - distribution_lambda_26_loss: 0.3130 - distribution_lambda_27_loss: 1.2599 - distribution_lambda_28_loss: 0.3136 - val_loss: 2.0592 - val_distribution_lambda_26_loss: 0.4114 - val_distribution_lambda_27_loss: 1.3185 - val_distribution_lambda_28_loss: 0.3293\n",
+ "Epoch 1226/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.9036 - distribution_lambda_26_loss: 0.3256 - distribution_lambda_27_loss: 1.2631 - distribution_lambda_28_loss: 0.3148 - val_loss: 2.0667 - val_distribution_lambda_26_loss: 0.4190 - val_distribution_lambda_27_loss: 1.3193 - val_distribution_lambda_28_loss: 0.3285\n",
+ "Epoch 1227/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8570 - distribution_lambda_26_loss: 0.3100 - distribution_lambda_27_loss: 1.2486 - distribution_lambda_28_loss: 0.2983 - val_loss: 2.0591 - val_distribution_lambda_26_loss: 0.4093 - val_distribution_lambda_27_loss: 1.3188 - val_distribution_lambda_28_loss: 0.3310\n",
+ "Epoch 1228/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8614 - distribution_lambda_26_loss: 0.3116 - distribution_lambda_27_loss: 1.2354 - distribution_lambda_28_loss: 0.3143 - val_loss: 2.0540 - val_distribution_lambda_26_loss: 0.4109 - val_distribution_lambda_27_loss: 1.3148 - val_distribution_lambda_28_loss: 0.3283\n",
+ "Epoch 1229/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8485 - distribution_lambda_26_loss: 0.3141 - distribution_lambda_27_loss: 1.2351 - distribution_lambda_28_loss: 0.2993 - val_loss: 2.0719 - val_distribution_lambda_26_loss: 0.4301 - val_distribution_lambda_27_loss: 1.3138 - val_distribution_lambda_28_loss: 0.3280\n",
+ "Epoch 1230/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8144 - distribution_lambda_26_loss: 0.3136 - distribution_lambda_27_loss: 1.2161 - distribution_lambda_28_loss: 0.2847 - val_loss: 2.0693 - val_distribution_lambda_26_loss: 0.4261 - val_distribution_lambda_27_loss: 1.3152 - val_distribution_lambda_28_loss: 0.3280\n",
+ "Epoch 1231/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8628 - distribution_lambda_26_loss: 0.3315 - distribution_lambda_27_loss: 1.2413 - distribution_lambda_28_loss: 0.2901 - val_loss: 2.0460 - val_distribution_lambda_26_loss: 0.4109 - val_distribution_lambda_27_loss: 1.3111 - val_distribution_lambda_28_loss: 0.3240\n",
+ "Epoch 1232/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8012 - distribution_lambda_26_loss: 0.3153 - distribution_lambda_27_loss: 1.2076 - distribution_lambda_28_loss: 0.2782 - val_loss: 2.0363 - val_distribution_lambda_26_loss: 0.4061 - val_distribution_lambda_27_loss: 1.3092 - val_distribution_lambda_28_loss: 0.3211\n",
+ "Epoch 1233/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8819 - distribution_lambda_26_loss: 0.3358 - distribution_lambda_27_loss: 1.2362 - distribution_lambda_28_loss: 0.3100 - val_loss: 2.0442 - val_distribution_lambda_26_loss: 0.4175 - val_distribution_lambda_27_loss: 1.3063 - val_distribution_lambda_28_loss: 0.3204\n",
+ "Epoch 1234/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7934 - distribution_lambda_26_loss: 0.3040 - distribution_lambda_27_loss: 1.2101 - distribution_lambda_28_loss: 0.2793 - val_loss: 2.0470 - val_distribution_lambda_26_loss: 0.4151 - val_distribution_lambda_27_loss: 1.3098 - val_distribution_lambda_28_loss: 0.3221\n",
+ "Epoch 1235/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8616 - distribution_lambda_26_loss: 0.3099 - distribution_lambda_27_loss: 1.2534 - distribution_lambda_28_loss: 0.2983 - val_loss: 2.0460 - val_distribution_lambda_26_loss: 0.4146 - val_distribution_lambda_27_loss: 1.3070 - val_distribution_lambda_28_loss: 0.3244\n",
+ "Epoch 1236/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8659 - distribution_lambda_26_loss: 0.3239 - distribution_lambda_27_loss: 1.2505 - distribution_lambda_28_loss: 0.2915 - val_loss: 2.0382 - val_distribution_lambda_26_loss: 0.4135 - val_distribution_lambda_27_loss: 1.3030 - val_distribution_lambda_28_loss: 0.3217\n",
+ "Epoch 1237/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.8294 - distribution_lambda_26_loss: 0.3261 - distribution_lambda_27_loss: 1.2172 - distribution_lambda_28_loss: 0.2861 - val_loss: 2.0361 - val_distribution_lambda_26_loss: 0.4147 - val_distribution_lambda_27_loss: 1.2997 - val_distribution_lambda_28_loss: 0.3217\n",
+ "Epoch 1238/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.8343 - distribution_lambda_26_loss: 0.2969 - distribution_lambda_27_loss: 1.2419 - distribution_lambda_28_loss: 0.2954 - val_loss: 2.0308 - val_distribution_lambda_26_loss: 0.4143 - val_distribution_lambda_27_loss: 1.2985 - val_distribution_lambda_28_loss: 0.3180\n",
+ "Epoch 1239/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8668 - distribution_lambda_26_loss: 0.3152 - distribution_lambda_27_loss: 1.2323 - distribution_lambda_28_loss: 0.3192 - val_loss: 2.0278 - val_distribution_lambda_26_loss: 0.4053 - val_distribution_lambda_27_loss: 1.3009 - val_distribution_lambda_28_loss: 0.3215\n",
+ "Epoch 1240/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8591 - distribution_lambda_26_loss: 0.3132 - distribution_lambda_27_loss: 1.2408 - distribution_lambda_28_loss: 0.3051 - val_loss: 2.0265 - val_distribution_lambda_26_loss: 0.4119 - val_distribution_lambda_27_loss: 1.2972 - val_distribution_lambda_28_loss: 0.3174\n",
+ "Epoch 1241/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8563 - distribution_lambda_26_loss: 0.3093 - distribution_lambda_27_loss: 1.2508 - distribution_lambda_28_loss: 0.2962 - val_loss: 2.0337 - val_distribution_lambda_26_loss: 0.4161 - val_distribution_lambda_27_loss: 1.2984 - val_distribution_lambda_28_loss: 0.3192\n",
+ "Epoch 1242/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7869 - distribution_lambda_26_loss: 0.2895 - distribution_lambda_27_loss: 1.2191 - distribution_lambda_28_loss: 0.2782 - val_loss: 2.0212 - val_distribution_lambda_26_loss: 0.4086 - val_distribution_lambda_27_loss: 1.2939 - val_distribution_lambda_28_loss: 0.3186\n",
+ "Epoch 1243/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8404 - distribution_lambda_26_loss: 0.3055 - distribution_lambda_27_loss: 1.2420 - distribution_lambda_28_loss: 0.2929 - val_loss: 2.0333 - val_distribution_lambda_26_loss: 0.4194 - val_distribution_lambda_27_loss: 1.2954 - val_distribution_lambda_28_loss: 0.3185\n",
+ "Epoch 1244/2500\n",
+ "8/8 [==============================] - 0s 9ms/step - loss: 1.8695 - distribution_lambda_26_loss: 0.3338 - distribution_lambda_27_loss: 1.2336 - distribution_lambda_28_loss: 0.3021 - val_loss: 2.0343 - val_distribution_lambda_26_loss: 0.4238 - val_distribution_lambda_27_loss: 1.2927 - val_distribution_lambda_28_loss: 0.3178\n",
+ "Epoch 1245/2500\n",
+ "8/8 [==============================] - 0s 11ms/step - loss: 1.8287 - distribution_lambda_26_loss: 0.3077 - distribution_lambda_27_loss: 1.2352 - distribution_lambda_28_loss: 0.2858 - val_loss: 2.0288 - val_distribution_lambda_26_loss: 0.4148 - val_distribution_lambda_27_loss: 1.2938 - val_distribution_lambda_28_loss: 0.3202\n",
+ "Epoch 1246/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8382 - distribution_lambda_26_loss: 0.3046 - distribution_lambda_27_loss: 1.2309 - distribution_lambda_28_loss: 0.3027 - val_loss: 2.0265 - val_distribution_lambda_26_loss: 0.4136 - val_distribution_lambda_27_loss: 1.2934 - val_distribution_lambda_28_loss: 0.3195\n",
+ "Epoch 1247/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8401 - distribution_lambda_26_loss: 0.2991 - distribution_lambda_27_loss: 1.2365 - distribution_lambda_28_loss: 0.3045 - val_loss: 2.0278 - val_distribution_lambda_26_loss: 0.4158 - val_distribution_lambda_27_loss: 1.2899 - val_distribution_lambda_28_loss: 0.3221\n",
+ "Epoch 1248/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8422 - distribution_lambda_26_loss: 0.3180 - distribution_lambda_27_loss: 1.2334 - distribution_lambda_28_loss: 0.2908 - val_loss: 2.0175 - val_distribution_lambda_26_loss: 0.4050 - val_distribution_lambda_27_loss: 1.2878 - val_distribution_lambda_28_loss: 0.3247\n",
+ "Epoch 1249/2500\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8479 - distribution_lambda_26_loss: 0.3188 - distribution_lambda_27_loss: 1.2339 - distribution_lambda_28_loss: 0.2952 - val_loss: 2.0206 - val_distribution_lambda_26_loss: 0.4183 - val_distribution_lambda_27_loss: 1.2851 - val_distribution_lambda_28_loss: 0.3172\n",
+ "Epoch 1250/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8554 - distribution_lambda_26_loss: 0.3169 - distribution_lambda_27_loss: 1.2403 - distribution_lambda_28_loss: 0.2982 - val_loss: 2.0224 - val_distribution_lambda_26_loss: 0.4176 - val_distribution_lambda_27_loss: 1.2883 - val_distribution_lambda_28_loss: 0.3166\n",
+ "Epoch 1251/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8327 - distribution_lambda_26_loss: 0.3041 - distribution_lambda_27_loss: 1.2301 - distribution_lambda_28_loss: 0.2985 - val_loss: 2.0228 - val_distribution_lambda_26_loss: 0.4171 - val_distribution_lambda_27_loss: 1.2896 - val_distribution_lambda_28_loss: 0.3161\n",
+ "Epoch 1252/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8173 - distribution_lambda_26_loss: 0.3169 - distribution_lambda_27_loss: 1.2154 - distribution_lambda_28_loss: 0.2850 - val_loss: 2.0230 - val_distribution_lambda_26_loss: 0.4094 - val_distribution_lambda_27_loss: 1.2953 - val_distribution_lambda_28_loss: 0.3184\n",
+ "Epoch 1253/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8042 - distribution_lambda_26_loss: 0.3170 - distribution_lambda_27_loss: 1.2085 - distribution_lambda_28_loss: 0.2787 - val_loss: 2.0125 - val_distribution_lambda_26_loss: 0.4044 - val_distribution_lambda_27_loss: 1.2930 - val_distribution_lambda_28_loss: 0.3151\n",
+ "Epoch 1254/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8433 - distribution_lambda_26_loss: 0.3020 - distribution_lambda_27_loss: 1.2327 - distribution_lambda_28_loss: 0.3086 - val_loss: 2.0177 - val_distribution_lambda_26_loss: 0.4090 - val_distribution_lambda_27_loss: 1.2918 - val_distribution_lambda_28_loss: 0.3169\n",
+ "Epoch 1255/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8283 - distribution_lambda_26_loss: 0.3036 - distribution_lambda_27_loss: 1.2257 - distribution_lambda_28_loss: 0.2990 - val_loss: 2.0306 - val_distribution_lambda_26_loss: 0.4238 - val_distribution_lambda_27_loss: 1.2899 - val_distribution_lambda_28_loss: 0.3169\n",
+ "Epoch 1256/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8024 - distribution_lambda_26_loss: 0.3187 - distribution_lambda_27_loss: 1.2108 - distribution_lambda_28_loss: 0.2729 - val_loss: 2.0060 - val_distribution_lambda_26_loss: 0.4104 - val_distribution_lambda_27_loss: 1.2809 - val_distribution_lambda_28_loss: 0.3147\n",
+ "Epoch 1257/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8029 - distribution_lambda_26_loss: 0.3002 - distribution_lambda_27_loss: 1.2270 - distribution_lambda_28_loss: 0.2757 - val_loss: 2.0067 - val_distribution_lambda_26_loss: 0.4117 - val_distribution_lambda_27_loss: 1.2802 - val_distribution_lambda_28_loss: 0.3149\n",
+ "Epoch 1258/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7896 - distribution_lambda_26_loss: 0.3109 - distribution_lambda_27_loss: 1.2083 - distribution_lambda_28_loss: 0.2704 - val_loss: 2.0048 - val_distribution_lambda_26_loss: 0.4164 - val_distribution_lambda_27_loss: 1.2769 - val_distribution_lambda_28_loss: 0.3115\n",
+ "Epoch 1259/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7822 - distribution_lambda_26_loss: 0.3091 - distribution_lambda_27_loss: 1.1963 - distribution_lambda_28_loss: 0.2768 - val_loss: 1.9907 - val_distribution_lambda_26_loss: 0.4063 - val_distribution_lambda_27_loss: 1.2721 - val_distribution_lambda_28_loss: 0.3123\n",
+ "Epoch 1260/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7922 - distribution_lambda_26_loss: 0.2822 - distribution_lambda_27_loss: 1.2181 - distribution_lambda_28_loss: 0.2919 - val_loss: 1.9935 - val_distribution_lambda_26_loss: 0.4158 - val_distribution_lambda_27_loss: 1.2668 - val_distribution_lambda_28_loss: 0.3109\n",
+ "Epoch 1261/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7922 - distribution_lambda_26_loss: 0.3018 - distribution_lambda_27_loss: 1.1998 - distribution_lambda_28_loss: 0.2905 - val_loss: 1.9898 - val_distribution_lambda_26_loss: 0.4101 - val_distribution_lambda_27_loss: 1.2683 - val_distribution_lambda_28_loss: 0.3113\n",
+ "Epoch 1262/2500\n",
+ "8/8 [==============================] - 0s 9ms/step - loss: 1.8048 - distribution_lambda_26_loss: 0.2980 - distribution_lambda_27_loss: 1.2233 - distribution_lambda_28_loss: 0.2834 - val_loss: 1.9865 - val_distribution_lambda_26_loss: 0.4038 - val_distribution_lambda_27_loss: 1.2696 - val_distribution_lambda_28_loss: 0.3130\n",
+ "Epoch 1263/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7661 - distribution_lambda_26_loss: 0.2978 - distribution_lambda_27_loss: 1.1859 - distribution_lambda_28_loss: 0.2824 - val_loss: 2.0106 - val_distribution_lambda_26_loss: 0.4162 - val_distribution_lambda_27_loss: 1.2754 - val_distribution_lambda_28_loss: 0.3190\n",
+ "Epoch 1264/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7723 - distribution_lambda_26_loss: 0.3080 - distribution_lambda_27_loss: 1.1801 - distribution_lambda_28_loss: 0.2843 - val_loss: 2.0154 - val_distribution_lambda_26_loss: 0.4177 - val_distribution_lambda_27_loss: 1.2773 - val_distribution_lambda_28_loss: 0.3204\n",
+ "Epoch 1265/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7459 - distribution_lambda_26_loss: 0.3012 - distribution_lambda_27_loss: 1.1750 - distribution_lambda_28_loss: 0.2697 - val_loss: 2.0047 - val_distribution_lambda_26_loss: 0.4126 - val_distribution_lambda_27_loss: 1.2748 - val_distribution_lambda_28_loss: 0.3173\n",
+ "Epoch 1266/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7724 - distribution_lambda_26_loss: 0.2995 - distribution_lambda_27_loss: 1.2059 - distribution_lambda_28_loss: 0.2670 - val_loss: 1.9830 - val_distribution_lambda_26_loss: 0.4029 - val_distribution_lambda_27_loss: 1.2655 - val_distribution_lambda_28_loss: 0.3147\n",
+ "Epoch 1267/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7833 - distribution_lambda_26_loss: 0.3101 - distribution_lambda_27_loss: 1.2076 - distribution_lambda_28_loss: 0.2655 - val_loss: 1.9888 - val_distribution_lambda_26_loss: 0.4061 - val_distribution_lambda_27_loss: 1.2636 - val_distribution_lambda_28_loss: 0.3190\n",
+ "Epoch 1268/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8066 - distribution_lambda_26_loss: 0.3115 - distribution_lambda_27_loss: 1.2053 - distribution_lambda_28_loss: 0.2898 - val_loss: 1.9932 - val_distribution_lambda_26_loss: 0.4196 - val_distribution_lambda_27_loss: 1.2589 - val_distribution_lambda_28_loss: 0.3147\n",
+ "Epoch 1269/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8186 - distribution_lambda_26_loss: 0.3004 - distribution_lambda_27_loss: 1.2167 - distribution_lambda_28_loss: 0.3015 - val_loss: 1.9728 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.2525 - val_distribution_lambda_28_loss: 0.3104\n",
+ "Epoch 1270/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7870 - distribution_lambda_26_loss: 0.3013 - distribution_lambda_27_loss: 1.2053 - distribution_lambda_28_loss: 0.2805 - val_loss: 1.9662 - val_distribution_lambda_26_loss: 0.4073 - val_distribution_lambda_27_loss: 1.2496 - val_distribution_lambda_28_loss: 0.3093\n",
+ "Epoch 1271/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8132 - distribution_lambda_26_loss: 0.3076 - distribution_lambda_27_loss: 1.2158 - distribution_lambda_28_loss: 0.2899 - val_loss: 1.9635 - val_distribution_lambda_26_loss: 0.4032 - val_distribution_lambda_27_loss: 1.2514 - val_distribution_lambda_28_loss: 0.3090\n",
+ "Epoch 1272/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8041 - distribution_lambda_26_loss: 0.3264 - distribution_lambda_27_loss: 1.2054 - distribution_lambda_28_loss: 0.2723 - val_loss: 1.9768 - val_distribution_lambda_26_loss: 0.4118 - val_distribution_lambda_27_loss: 1.2549 - val_distribution_lambda_28_loss: 0.3101\n",
+ "Epoch 1273/2500\n"
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+ "Epoch 1274/2500\n",
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+ "Epoch 1279/2500\n",
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+ "Epoch 1280/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7476 - distribution_lambda_26_loss: 0.2865 - distribution_lambda_27_loss: 1.1955 - distribution_lambda_28_loss: 0.2657 - val_loss: 1.9387 - val_distribution_lambda_26_loss: 0.4043 - val_distribution_lambda_27_loss: 1.2329 - val_distribution_lambda_28_loss: 0.3014\n",
+ "Epoch 1281/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8028 - distribution_lambda_26_loss: 0.3094 - distribution_lambda_27_loss: 1.2185 - distribution_lambda_28_loss: 0.2750 - val_loss: 1.9412 - val_distribution_lambda_26_loss: 0.4083 - val_distribution_lambda_27_loss: 1.2322 - val_distribution_lambda_28_loss: 0.3006\n",
+ "Epoch 1282/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7249 - distribution_lambda_26_loss: 0.2992 - distribution_lambda_27_loss: 1.1741 - distribution_lambda_28_loss: 0.2517 - val_loss: 1.9456 - val_distribution_lambda_26_loss: 0.4102 - val_distribution_lambda_27_loss: 1.2347 - val_distribution_lambda_28_loss: 0.3007\n",
+ "Epoch 1283/2500\n",
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+ "Epoch 1284/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.8278 - distribution_lambda_26_loss: 0.3109 - distribution_lambda_27_loss: 1.2190 - distribution_lambda_28_loss: 0.2979 - val_loss: 1.9475 - val_distribution_lambda_26_loss: 0.4081 - val_distribution_lambda_27_loss: 1.2368 - val_distribution_lambda_28_loss: 0.3025\n",
+ "Epoch 1285/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7912 - distribution_lambda_26_loss: 0.3196 - distribution_lambda_27_loss: 1.1929 - distribution_lambda_28_loss: 0.2786 - val_loss: 1.9677 - val_distribution_lambda_26_loss: 0.4177 - val_distribution_lambda_27_loss: 1.2453 - val_distribution_lambda_28_loss: 0.3047\n",
+ "Epoch 1286/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7797 - distribution_lambda_26_loss: 0.2940 - distribution_lambda_27_loss: 1.2034 - distribution_lambda_28_loss: 0.2823 - val_loss: 1.9459 - val_distribution_lambda_26_loss: 0.4036 - val_distribution_lambda_27_loss: 1.2395 - val_distribution_lambda_28_loss: 0.3027\n",
+ "Epoch 1287/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7303 - distribution_lambda_26_loss: 0.2826 - distribution_lambda_27_loss: 1.1822 - distribution_lambda_28_loss: 0.2655 - val_loss: 1.9465 - val_distribution_lambda_26_loss: 0.4062 - val_distribution_lambda_27_loss: 1.2374 - val_distribution_lambda_28_loss: 0.3029\n",
+ "Epoch 1288/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7809 - distribution_lambda_26_loss: 0.3162 - distribution_lambda_27_loss: 1.1933 - distribution_lambda_28_loss: 0.2713 - val_loss: 1.9387 - val_distribution_lambda_26_loss: 0.3980 - val_distribution_lambda_27_loss: 1.2388 - val_distribution_lambda_28_loss: 0.3019\n",
+ "Epoch 1289/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7200 - distribution_lambda_26_loss: 0.2972 - distribution_lambda_27_loss: 1.1716 - distribution_lambda_28_loss: 0.2513 - val_loss: 1.9409 - val_distribution_lambda_26_loss: 0.4062 - val_distribution_lambda_27_loss: 1.2359 - val_distribution_lambda_28_loss: 0.2988\n",
+ "Epoch 1290/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7345 - distribution_lambda_26_loss: 0.2926 - distribution_lambda_27_loss: 1.1764 - distribution_lambda_28_loss: 0.2655 - val_loss: 1.9280 - val_distribution_lambda_26_loss: 0.3967 - val_distribution_lambda_27_loss: 1.2299 - val_distribution_lambda_28_loss: 0.3014\n",
+ "Epoch 1291/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7374 - distribution_lambda_26_loss: 0.2908 - distribution_lambda_27_loss: 1.1825 - distribution_lambda_28_loss: 0.2641 - val_loss: 1.9471 - val_distribution_lambda_26_loss: 0.4120 - val_distribution_lambda_27_loss: 1.2326 - val_distribution_lambda_28_loss: 0.3025\n",
+ "Epoch 1292/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7957 - distribution_lambda_26_loss: 0.2966 - distribution_lambda_27_loss: 1.2184 - distribution_lambda_28_loss: 0.2807 - val_loss: 1.9358 - val_distribution_lambda_26_loss: 0.4097 - val_distribution_lambda_27_loss: 1.2270 - val_distribution_lambda_28_loss: 0.2991\n",
+ "Epoch 1293/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7714 - distribution_lambda_26_loss: 0.3082 - distribution_lambda_27_loss: 1.1918 - distribution_lambda_28_loss: 0.2714 - val_loss: 1.9305 - val_distribution_lambda_26_loss: 0.4026 - val_distribution_lambda_27_loss: 1.2281 - val_distribution_lambda_28_loss: 0.2998\n",
+ "Epoch 1294/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7490 - distribution_lambda_26_loss: 0.3019 - distribution_lambda_27_loss: 1.1693 - distribution_lambda_28_loss: 0.2778 - val_loss: 1.9338 - val_distribution_lambda_26_loss: 0.4094 - val_distribution_lambda_27_loss: 1.2236 - val_distribution_lambda_28_loss: 0.3008\n",
+ "Epoch 1295/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7738 - distribution_lambda_26_loss: 0.3006 - distribution_lambda_27_loss: 1.1928 - distribution_lambda_28_loss: 0.2804 - val_loss: 1.9475 - val_distribution_lambda_26_loss: 0.4221 - val_distribution_lambda_27_loss: 1.2240 - val_distribution_lambda_28_loss: 0.3014\n",
+ "Epoch 1296/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7697 - distribution_lambda_26_loss: 0.3088 - distribution_lambda_27_loss: 1.1976 - distribution_lambda_28_loss: 0.2633 - val_loss: 1.9327 - val_distribution_lambda_26_loss: 0.4084 - val_distribution_lambda_27_loss: 1.2227 - val_distribution_lambda_28_loss: 0.3016\n",
+ "Epoch 1297/2500\n"
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+ "Epoch 1298/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7816 - distribution_lambda_26_loss: 0.2947 - distribution_lambda_27_loss: 1.1983 - distribution_lambda_28_loss: 0.2886 - val_loss: 1.9235 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.2185 - val_distribution_lambda_28_loss: 0.2979\n",
+ "Epoch 1299/2500\n",
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+ "Epoch 1300/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7695 - distribution_lambda_26_loss: 0.3185 - distribution_lambda_27_loss: 1.1918 - distribution_lambda_28_loss: 0.2591 - val_loss: 1.9181 - val_distribution_lambda_26_loss: 0.4000 - val_distribution_lambda_27_loss: 1.2198 - val_distribution_lambda_28_loss: 0.2983\n",
+ "Epoch 1301/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7982 - distribution_lambda_26_loss: 0.3145 - distribution_lambda_27_loss: 1.2027 - distribution_lambda_28_loss: 0.2810 - val_loss: 1.9301 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.2190 - val_distribution_lambda_28_loss: 0.3011\n",
+ "Epoch 1302/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7550 - distribution_lambda_26_loss: 0.3086 - distribution_lambda_27_loss: 1.1836 - distribution_lambda_28_loss: 0.2628 - val_loss: 1.9384 - val_distribution_lambda_26_loss: 0.4203 - val_distribution_lambda_27_loss: 1.2173 - val_distribution_lambda_28_loss: 0.3007\n",
+ "Epoch 1303/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7936 - distribution_lambda_26_loss: 0.2936 - distribution_lambda_27_loss: 1.2155 - distribution_lambda_28_loss: 0.2845 - val_loss: 1.9295 - val_distribution_lambda_26_loss: 0.4144 - val_distribution_lambda_27_loss: 1.2164 - val_distribution_lambda_28_loss: 0.2986\n",
+ "Epoch 1304/2500\n",
+ "8/8 [==============================] - 0s 8ms/step - loss: 1.7365 - distribution_lambda_26_loss: 0.3023 - distribution_lambda_27_loss: 1.1697 - distribution_lambda_28_loss: 0.2646 - val_loss: 1.9402 - val_distribution_lambda_26_loss: 0.4162 - val_distribution_lambda_27_loss: 1.2237 - val_distribution_lambda_28_loss: 0.3003\n",
+ "Epoch 1305/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7409 - distribution_lambda_26_loss: 0.3091 - distribution_lambda_27_loss: 1.1646 - distribution_lambda_28_loss: 0.2672 - val_loss: 1.9332 - val_distribution_lambda_26_loss: 0.4120 - val_distribution_lambda_27_loss: 1.2195 - val_distribution_lambda_28_loss: 0.3017\n",
+ "Epoch 1306/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7855 - distribution_lambda_26_loss: 0.3244 - distribution_lambda_27_loss: 1.1878 - distribution_lambda_28_loss: 0.2733 - val_loss: 1.9214 - val_distribution_lambda_26_loss: 0.4138 - val_distribution_lambda_27_loss: 1.2104 - val_distribution_lambda_28_loss: 0.2972\n",
+ "Epoch 1307/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7828 - distribution_lambda_26_loss: 0.3195 - distribution_lambda_27_loss: 1.1874 - distribution_lambda_28_loss: 0.2759 - val_loss: 1.9086 - val_distribution_lambda_26_loss: 0.4080 - val_distribution_lambda_27_loss: 1.2050 - val_distribution_lambda_28_loss: 0.2956\n",
+ "Epoch 1308/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6954 - distribution_lambda_26_loss: 0.2811 - distribution_lambda_27_loss: 1.1625 - distribution_lambda_28_loss: 0.2517 - val_loss: 1.8996 - val_distribution_lambda_26_loss: 0.4044 - val_distribution_lambda_27_loss: 1.2022 - val_distribution_lambda_28_loss: 0.2930\n",
+ "Epoch 1309/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8071 - distribution_lambda_26_loss: 0.3050 - distribution_lambda_27_loss: 1.2201 - distribution_lambda_28_loss: 0.2820 - val_loss: 1.8971 - val_distribution_lambda_26_loss: 0.3960 - val_distribution_lambda_27_loss: 1.2046 - val_distribution_lambda_28_loss: 0.2965\n",
+ "Epoch 1310/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7471 - distribution_lambda_26_loss: 0.2950 - distribution_lambda_27_loss: 1.1892 - distribution_lambda_28_loss: 0.2629 - val_loss: 1.9143 - val_distribution_lambda_26_loss: 0.4092 - val_distribution_lambda_27_loss: 1.2084 - val_distribution_lambda_28_loss: 0.2967\n",
+ "Epoch 1311/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7186 - distribution_lambda_26_loss: 0.2850 - distribution_lambda_27_loss: 1.1672 - distribution_lambda_28_loss: 0.2664 - val_loss: 1.9102 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.2054 - val_distribution_lambda_28_loss: 0.2976\n",
+ "Epoch 1312/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6931 - distribution_lambda_26_loss: 0.3015 - distribution_lambda_27_loss: 1.1472 - distribution_lambda_28_loss: 0.2443 - val_loss: 1.9169 - val_distribution_lambda_26_loss: 0.4136 - val_distribution_lambda_27_loss: 1.2070 - val_distribution_lambda_28_loss: 0.2963\n",
+ "Epoch 1313/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7593 - distribution_lambda_26_loss: 0.2820 - distribution_lambda_27_loss: 1.1993 - distribution_lambda_28_loss: 0.2780 - val_loss: 1.9103 - val_distribution_lambda_26_loss: 0.4098 - val_distribution_lambda_27_loss: 1.2031 - val_distribution_lambda_28_loss: 0.2974\n",
+ "Epoch 1314/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7579 - distribution_lambda_26_loss: 0.2948 - distribution_lambda_27_loss: 1.1883 - distribution_lambda_28_loss: 0.2748 - val_loss: 1.9275 - val_distribution_lambda_26_loss: 0.4219 - val_distribution_lambda_27_loss: 1.2054 - val_distribution_lambda_28_loss: 0.3002\n",
+ "Epoch 1315/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7490 - distribution_lambda_26_loss: 0.2864 - distribution_lambda_27_loss: 1.1902 - distribution_lambda_28_loss: 0.2723 - val_loss: 1.9132 - val_distribution_lambda_26_loss: 0.4059 - val_distribution_lambda_27_loss: 1.2064 - val_distribution_lambda_28_loss: 0.3009\n",
+ "Epoch 1316/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7593 - distribution_lambda_26_loss: 0.3005 - distribution_lambda_27_loss: 1.1856 - distribution_lambda_28_loss: 0.2732 - val_loss: 1.9098 - val_distribution_lambda_26_loss: 0.4024 - val_distribution_lambda_27_loss: 1.2071 - val_distribution_lambda_28_loss: 0.3003\n",
+ "Epoch 1317/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7509 - distribution_lambda_26_loss: 0.2927 - distribution_lambda_27_loss: 1.1848 - distribution_lambda_28_loss: 0.2734 - val_loss: 1.9070 - val_distribution_lambda_26_loss: 0.4038 - val_distribution_lambda_27_loss: 1.2057 - val_distribution_lambda_28_loss: 0.2976\n",
+ "Epoch 1318/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.8030 - distribution_lambda_26_loss: 0.3071 - distribution_lambda_27_loss: 1.2080 - distribution_lambda_28_loss: 0.2879 - val_loss: 1.9074 - val_distribution_lambda_26_loss: 0.4085 - val_distribution_lambda_27_loss: 1.2053 - val_distribution_lambda_28_loss: 0.2935\n",
+ "Epoch 1319/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.7527 - distribution_lambda_26_loss: 0.3008 - distribution_lambda_27_loss: 1.1718 - distribution_lambda_28_loss: 0.2801 - val_loss: 1.9071 - val_distribution_lambda_26_loss: 0.4113 - val_distribution_lambda_27_loss: 1.2007 - val_distribution_lambda_28_loss: 0.2951\n",
+ "Epoch 1320/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7857 - distribution_lambda_26_loss: 0.2868 - distribution_lambda_27_loss: 1.2070 - distribution_lambda_28_loss: 0.2919 - val_loss: 1.8909 - val_distribution_lambda_26_loss: 0.4039 - val_distribution_lambda_27_loss: 1.1972 - val_distribution_lambda_28_loss: 0.2898\n",
+ "Epoch 1321/2500\n"
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+ "Epoch 1322/2500\n",
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+ "Epoch 1323/2500\n",
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+ "Epoch 1324/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6882 - distribution_lambda_26_loss: 0.3013 - distribution_lambda_27_loss: 1.1378 - distribution_lambda_28_loss: 0.2491 - val_loss: 1.8814 - val_distribution_lambda_26_loss: 0.3988 - val_distribution_lambda_27_loss: 1.1929 - val_distribution_lambda_28_loss: 0.2897\n",
+ "Epoch 1325/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.7263 - distribution_lambda_26_loss: 0.2829 - distribution_lambda_27_loss: 1.1687 - distribution_lambda_28_loss: 0.2747 - val_loss: 1.8888 - val_distribution_lambda_26_loss: 0.4098 - val_distribution_lambda_27_loss: 1.1874 - val_distribution_lambda_28_loss: 0.2915\n",
+ "Epoch 1326/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6928 - distribution_lambda_26_loss: 0.2911 - distribution_lambda_27_loss: 1.1420 - distribution_lambda_28_loss: 0.2597 - val_loss: 1.8910 - val_distribution_lambda_26_loss: 0.4135 - val_distribution_lambda_27_loss: 1.1847 - val_distribution_lambda_28_loss: 0.2928\n",
+ "Epoch 1327/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7603 - distribution_lambda_26_loss: 0.3096 - distribution_lambda_27_loss: 1.1764 - distribution_lambda_28_loss: 0.2743 - val_loss: 1.9007 - val_distribution_lambda_26_loss: 0.4188 - val_distribution_lambda_27_loss: 1.1892 - val_distribution_lambda_28_loss: 0.2927\n",
+ "Epoch 1328/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7044 - distribution_lambda_26_loss: 0.2860 - distribution_lambda_27_loss: 1.1725 - distribution_lambda_28_loss: 0.2460 - val_loss: 1.8917 - val_distribution_lambda_26_loss: 0.4043 - val_distribution_lambda_27_loss: 1.1961 - val_distribution_lambda_28_loss: 0.2913\n",
+ "Epoch 1329/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7391 - distribution_lambda_26_loss: 0.2969 - distribution_lambda_27_loss: 1.1737 - distribution_lambda_28_loss: 0.2685 - val_loss: 1.8833 - val_distribution_lambda_26_loss: 0.4078 - val_distribution_lambda_27_loss: 1.1861 - val_distribution_lambda_28_loss: 0.2894\n",
+ "Epoch 1330/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7193 - distribution_lambda_26_loss: 0.3038 - distribution_lambda_27_loss: 1.1560 - distribution_lambda_28_loss: 0.2595 - val_loss: 1.8905 - val_distribution_lambda_26_loss: 0.4168 - val_distribution_lambda_27_loss: 1.1863 - val_distribution_lambda_28_loss: 0.2874\n",
+ "Epoch 1331/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7420 - distribution_lambda_26_loss: 0.3019 - distribution_lambda_27_loss: 1.1752 - distribution_lambda_28_loss: 0.2650 - val_loss: 1.8908 - val_distribution_lambda_26_loss: 0.4212 - val_distribution_lambda_27_loss: 1.1831 - val_distribution_lambda_28_loss: 0.2865\n",
+ "Epoch 1332/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6880 - distribution_lambda_26_loss: 0.3063 - distribution_lambda_27_loss: 1.1334 - distribution_lambda_28_loss: 0.2482 - val_loss: 1.8788 - val_distribution_lambda_26_loss: 0.4114 - val_distribution_lambda_27_loss: 1.1807 - val_distribution_lambda_28_loss: 0.2867\n",
+ "Epoch 1333/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7030 - distribution_lambda_26_loss: 0.2976 - distribution_lambda_27_loss: 1.1585 - distribution_lambda_28_loss: 0.2470 - val_loss: 1.8797 - val_distribution_lambda_26_loss: 0.4060 - val_distribution_lambda_27_loss: 1.1841 - val_distribution_lambda_28_loss: 0.2895\n",
+ "Epoch 1334/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7297 - distribution_lambda_26_loss: 0.2992 - distribution_lambda_27_loss: 1.1643 - distribution_lambda_28_loss: 0.2662 - val_loss: 1.8753 - val_distribution_lambda_26_loss: 0.4032 - val_distribution_lambda_27_loss: 1.1816 - val_distribution_lambda_28_loss: 0.2905\n",
+ "Epoch 1335/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6779 - distribution_lambda_26_loss: 0.2750 - distribution_lambda_27_loss: 1.1376 - distribution_lambda_28_loss: 0.2653 - val_loss: 1.8876 - val_distribution_lambda_26_loss: 0.4093 - val_distribution_lambda_27_loss: 1.1846 - val_distribution_lambda_28_loss: 0.2937\n",
+ "Epoch 1336/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6930 - distribution_lambda_26_loss: 0.2826 - distribution_lambda_27_loss: 1.1602 - distribution_lambda_28_loss: 0.2502 - val_loss: 1.8874 - val_distribution_lambda_26_loss: 0.4085 - val_distribution_lambda_27_loss: 1.1848 - val_distribution_lambda_28_loss: 0.2941\n",
+ "Epoch 1337/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7224 - distribution_lambda_26_loss: 0.2971 - distribution_lambda_27_loss: 1.1674 - distribution_lambda_28_loss: 0.2578 - val_loss: 1.8861 - val_distribution_lambda_26_loss: 0.4087 - val_distribution_lambda_27_loss: 1.1837 - val_distribution_lambda_28_loss: 0.2937\n",
+ "Epoch 1338/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6795 - distribution_lambda_26_loss: 0.2654 - distribution_lambda_27_loss: 1.1488 - distribution_lambda_28_loss: 0.2653 - val_loss: 1.8740 - val_distribution_lambda_26_loss: 0.4121 - val_distribution_lambda_27_loss: 1.1764 - val_distribution_lambda_28_loss: 0.2855\n",
+ "Epoch 1339/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6858 - distribution_lambda_26_loss: 0.3082 - distribution_lambda_27_loss: 1.1269 - distribution_lambda_28_loss: 0.2508 - val_loss: 1.8665 - val_distribution_lambda_26_loss: 0.4050 - val_distribution_lambda_27_loss: 1.1732 - val_distribution_lambda_28_loss: 0.2882\n",
+ "Epoch 1340/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7181 - distribution_lambda_26_loss: 0.2896 - distribution_lambda_27_loss: 1.1602 - distribution_lambda_28_loss: 0.2683 - val_loss: 1.8894 - val_distribution_lambda_26_loss: 0.4267 - val_distribution_lambda_27_loss: 1.1757 - val_distribution_lambda_28_loss: 0.2870\n",
+ "Epoch 1341/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6996 - distribution_lambda_26_loss: 0.2896 - distribution_lambda_27_loss: 1.1480 - distribution_lambda_28_loss: 0.2620 - val_loss: 1.8752 - val_distribution_lambda_26_loss: 0.4147 - val_distribution_lambda_27_loss: 1.1733 - val_distribution_lambda_28_loss: 0.2872\n",
+ "Epoch 1342/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6703 - distribution_lambda_26_loss: 0.2861 - distribution_lambda_27_loss: 1.1316 - distribution_lambda_28_loss: 0.2526 - val_loss: 1.8661 - val_distribution_lambda_26_loss: 0.4095 - val_distribution_lambda_27_loss: 1.1678 - val_distribution_lambda_28_loss: 0.2889\n",
+ "Epoch 1343/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7304 - distribution_lambda_26_loss: 0.2944 - distribution_lambda_27_loss: 1.1656 - distribution_lambda_28_loss: 0.2703 - val_loss: 1.8791 - val_distribution_lambda_26_loss: 0.4168 - val_distribution_lambda_27_loss: 1.1684 - val_distribution_lambda_28_loss: 0.2939\n",
+ "Epoch 1344/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7061 - distribution_lambda_26_loss: 0.2921 - distribution_lambda_27_loss: 1.1476 - distribution_lambda_28_loss: 0.2663 - val_loss: 1.8732 - val_distribution_lambda_26_loss: 0.4110 - val_distribution_lambda_27_loss: 1.1676 - val_distribution_lambda_28_loss: 0.2945\n",
+ "Epoch 1345/2500\n"
+ ]
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+ "text": [
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+ "Epoch 1346/2500\n",
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+ "Epoch 1347/2500\n",
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+ "Epoch 1348/2500\n",
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+ "Epoch 1349/2500\n",
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+ "Epoch 1350/2500\n",
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+ "Epoch 1351/2500\n",
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+ "Epoch 1352/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6911 - distribution_lambda_26_loss: 0.2944 - distribution_lambda_27_loss: 1.1415 - distribution_lambda_28_loss: 0.2552 - val_loss: 1.8730 - val_distribution_lambda_26_loss: 0.4169 - val_distribution_lambda_27_loss: 1.1695 - val_distribution_lambda_28_loss: 0.2866\n",
+ "Epoch 1353/2500\n",
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+ "Epoch 1354/2500\n",
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+ "Epoch 1355/2500\n",
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+ "Epoch 1356/2500\n",
+ "8/8 [==============================] - 0s 5ms/step - loss: 1.7081 - distribution_lambda_26_loss: 0.2991 - distribution_lambda_27_loss: 1.1533 - distribution_lambda_28_loss: 0.2558 - val_loss: 1.8717 - val_distribution_lambda_26_loss: 0.4180 - val_distribution_lambda_27_loss: 1.1658 - val_distribution_lambda_28_loss: 0.2879\n",
+ "Epoch 1357/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7436 - distribution_lambda_26_loss: 0.3117 - distribution_lambda_27_loss: 1.1718 - distribution_lambda_28_loss: 0.2601 - val_loss: 1.8588 - val_distribution_lambda_26_loss: 0.4081 - val_distribution_lambda_27_loss: 1.1632 - val_distribution_lambda_28_loss: 0.2875\n",
+ "Epoch 1358/2500\n",
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+ "Epoch 1359/2500\n",
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+ "Epoch 1360/2500\n",
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+ "Epoch 1361/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6469 - distribution_lambda_26_loss: 0.2805 - distribution_lambda_27_loss: 1.1229 - distribution_lambda_28_loss: 0.2434 - val_loss: 1.8590 - val_distribution_lambda_26_loss: 0.4078 - val_distribution_lambda_27_loss: 1.1598 - val_distribution_lambda_28_loss: 0.2914\n",
+ "Epoch 1362/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6649 - distribution_lambda_26_loss: 0.2835 - distribution_lambda_27_loss: 1.1226 - distribution_lambda_28_loss: 0.2588 - val_loss: 1.8527 - val_distribution_lambda_26_loss: 0.4078 - val_distribution_lambda_27_loss: 1.1563 - val_distribution_lambda_28_loss: 0.2885\n",
+ "Epoch 1363/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6892 - distribution_lambda_26_loss: 0.2931 - distribution_lambda_27_loss: 1.1545 - distribution_lambda_28_loss: 0.2417 - val_loss: 1.8517 - val_distribution_lambda_26_loss: 0.4085 - val_distribution_lambda_27_loss: 1.1601 - val_distribution_lambda_28_loss: 0.2831\n",
+ "Epoch 1364/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7399 - distribution_lambda_26_loss: 0.3014 - distribution_lambda_27_loss: 1.1614 - distribution_lambda_28_loss: 0.2771 - val_loss: 1.8532 - val_distribution_lambda_26_loss: 0.4134 - val_distribution_lambda_27_loss: 1.1564 - val_distribution_lambda_28_loss: 0.2834\n",
+ "Epoch 1365/2500\n",
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+ "Epoch 1366/2500\n",
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+ "Epoch 1367/2500\n",
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+ "Epoch 1368/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6750 - distribution_lambda_26_loss: 0.2886 - distribution_lambda_27_loss: 1.1450 - distribution_lambda_28_loss: 0.2413 - val_loss: 1.8332 - val_distribution_lambda_26_loss: 0.4005 - val_distribution_lambda_27_loss: 1.1484 - val_distribution_lambda_28_loss: 0.2843\n",
+ "Epoch 1369/2500\n"
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+ "text": [
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+ "Epoch 1370/2500\n",
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+ "Epoch 1371/2500\n",
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+ "Epoch 1372/2500\n",
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+ "Epoch 1373/2500\n",
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+ "Epoch 1374/2500\n",
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+ "Epoch 1375/2500\n",
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+ "Epoch 1376/2500\n",
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+ "Epoch 1377/2500\n",
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+ "Epoch 1378/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6273 - distribution_lambda_26_loss: 0.2843 - distribution_lambda_27_loss: 1.1052 - distribution_lambda_28_loss: 0.2379 - val_loss: 1.8336 - val_distribution_lambda_26_loss: 0.4095 - val_distribution_lambda_27_loss: 1.1433 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1379/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7017 - distribution_lambda_26_loss: 0.3158 - distribution_lambda_27_loss: 1.1227 - distribution_lambda_28_loss: 0.2631 - val_loss: 1.8504 - val_distribution_lambda_26_loss: 0.4218 - val_distribution_lambda_27_loss: 1.1463 - val_distribution_lambda_28_loss: 0.2824\n",
+ "Epoch 1380/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6385 - distribution_lambda_26_loss: 0.2745 - distribution_lambda_27_loss: 1.1256 - distribution_lambda_28_loss: 0.2383 - val_loss: 1.8604 - val_distribution_lambda_26_loss: 0.4220 - val_distribution_lambda_27_loss: 1.1529 - val_distribution_lambda_28_loss: 0.2854\n",
+ "Epoch 1381/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6608 - distribution_lambda_26_loss: 0.2932 - distribution_lambda_27_loss: 1.1230 - distribution_lambda_28_loss: 0.2446 - val_loss: 1.8469 - val_distribution_lambda_26_loss: 0.4071 - val_distribution_lambda_27_loss: 1.1527 - val_distribution_lambda_28_loss: 0.2870\n",
+ "Epoch 1382/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6833 - distribution_lambda_26_loss: 0.2892 - distribution_lambda_27_loss: 1.1361 - distribution_lambda_28_loss: 0.2581 - val_loss: 1.8174 - val_distribution_lambda_26_loss: 0.3941 - val_distribution_lambda_27_loss: 1.1447 - val_distribution_lambda_28_loss: 0.2786\n",
+ "Epoch 1383/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6375 - distribution_lambda_26_loss: 0.2935 - distribution_lambda_27_loss: 1.1046 - distribution_lambda_28_loss: 0.2394 - val_loss: 1.8205 - val_distribution_lambda_26_loss: 0.4038 - val_distribution_lambda_27_loss: 1.1387 - val_distribution_lambda_28_loss: 0.2780\n",
+ "Epoch 1384/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6447 - distribution_lambda_26_loss: 0.3053 - distribution_lambda_27_loss: 1.0954 - distribution_lambda_28_loss: 0.2439 - val_loss: 1.8237 - val_distribution_lambda_26_loss: 0.4040 - val_distribution_lambda_27_loss: 1.1399 - val_distribution_lambda_28_loss: 0.2797\n",
+ "Epoch 1385/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6827 - distribution_lambda_26_loss: 0.2703 - distribution_lambda_27_loss: 1.1596 - distribution_lambda_28_loss: 0.2528 - val_loss: 1.8384 - val_distribution_lambda_26_loss: 0.4173 - val_distribution_lambda_27_loss: 1.1415 - val_distribution_lambda_28_loss: 0.2797\n",
+ "Epoch 1386/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6205 - distribution_lambda_26_loss: 0.2591 - distribution_lambda_27_loss: 1.1215 - distribution_lambda_28_loss: 0.2399 - val_loss: 1.8379 - val_distribution_lambda_26_loss: 0.4155 - val_distribution_lambda_27_loss: 1.1426 - val_distribution_lambda_28_loss: 0.2797\n",
+ "Epoch 1387/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6431 - distribution_lambda_26_loss: 0.2994 - distribution_lambda_27_loss: 1.1057 - distribution_lambda_28_loss: 0.2380 - val_loss: 1.8228 - val_distribution_lambda_26_loss: 0.4150 - val_distribution_lambda_27_loss: 1.1302 - val_distribution_lambda_28_loss: 0.2776\n",
+ "Epoch 1388/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6701 - distribution_lambda_26_loss: 0.3013 - distribution_lambda_27_loss: 1.1314 - distribution_lambda_28_loss: 0.2373 - val_loss: 1.8056 - val_distribution_lambda_26_loss: 0.4170 - val_distribution_lambda_27_loss: 1.1167 - val_distribution_lambda_28_loss: 0.2719\n",
+ "Epoch 1389/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7022 - distribution_lambda_26_loss: 0.2865 - distribution_lambda_27_loss: 1.1570 - distribution_lambda_28_loss: 0.2587 - val_loss: 1.8050 - val_distribution_lambda_26_loss: 0.4128 - val_distribution_lambda_27_loss: 1.1159 - val_distribution_lambda_28_loss: 0.2763\n",
+ "Epoch 1390/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6258 - distribution_lambda_26_loss: 0.2759 - distribution_lambda_27_loss: 1.1192 - distribution_lambda_28_loss: 0.2307 - val_loss: 1.8014 - val_distribution_lambda_26_loss: 0.4045 - val_distribution_lambda_27_loss: 1.1199 - val_distribution_lambda_28_loss: 0.2770\n",
+ "Epoch 1391/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6405 - distribution_lambda_26_loss: 0.2701 - distribution_lambda_27_loss: 1.1285 - distribution_lambda_28_loss: 0.2420 - val_loss: 1.8139 - val_distribution_lambda_26_loss: 0.4142 - val_distribution_lambda_27_loss: 1.1224 - val_distribution_lambda_28_loss: 0.2773\n",
+ "Epoch 1392/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6785 - distribution_lambda_26_loss: 0.2832 - distribution_lambda_27_loss: 1.1354 - distribution_lambda_28_loss: 0.2598 - val_loss: 1.8181 - val_distribution_lambda_26_loss: 0.4100 - val_distribution_lambda_27_loss: 1.1257 - val_distribution_lambda_28_loss: 0.2823\n",
+ "Epoch 1393/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.7182 - distribution_lambda_26_loss: 0.2949 - distribution_lambda_27_loss: 1.1681 - distribution_lambda_28_loss: 0.2552 - val_loss: 1.8283 - val_distribution_lambda_26_loss: 0.4156 - val_distribution_lambda_27_loss: 1.1309 - val_distribution_lambda_28_loss: 0.2819\n",
+ "Epoch 1394/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6057 - distribution_lambda_26_loss: 0.2722 - distribution_lambda_27_loss: 1.1000 - distribution_lambda_28_loss: 0.2335 - val_loss: 1.8231 - val_distribution_lambda_26_loss: 0.4145 - val_distribution_lambda_27_loss: 1.1278 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1395/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6116 - distribution_lambda_26_loss: 0.2559 - distribution_lambda_27_loss: 1.1215 - distribution_lambda_28_loss: 0.2341 - val_loss: 1.8379 - val_distribution_lambda_26_loss: 0.4281 - val_distribution_lambda_27_loss: 1.1273 - val_distribution_lambda_28_loss: 0.2824\n",
+ "Epoch 1396/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6578 - distribution_lambda_26_loss: 0.2818 - distribution_lambda_27_loss: 1.1247 - distribution_lambda_28_loss: 0.2513 - val_loss: 1.8239 - val_distribution_lambda_26_loss: 0.4164 - val_distribution_lambda_27_loss: 1.1272 - val_distribution_lambda_28_loss: 0.2803\n",
+ "Epoch 1397/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6434 - distribution_lambda_26_loss: 0.2845 - distribution_lambda_27_loss: 1.1263 - distribution_lambda_28_loss: 0.2326 - val_loss: 1.8358 - val_distribution_lambda_26_loss: 0.4239 - val_distribution_lambda_27_loss: 1.1302 - val_distribution_lambda_28_loss: 0.2817\n",
+ "Epoch 1398/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6128 - distribution_lambda_26_loss: 0.2814 - distribution_lambda_27_loss: 1.1105 - distribution_lambda_28_loss: 0.2208 - val_loss: 1.8373 - val_distribution_lambda_26_loss: 0.4224 - val_distribution_lambda_27_loss: 1.1340 - val_distribution_lambda_28_loss: 0.2809\n",
+ "Epoch 1399/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6466 - distribution_lambda_26_loss: 0.2861 - distribution_lambda_27_loss: 1.1161 - distribution_lambda_28_loss: 0.2445 - val_loss: 1.8259 - val_distribution_lambda_26_loss: 0.4107 - val_distribution_lambda_27_loss: 1.1350 - val_distribution_lambda_28_loss: 0.2802\n",
+ "Epoch 1400/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6798 - distribution_lambda_26_loss: 0.2879 - distribution_lambda_27_loss: 1.1407 - distribution_lambda_28_loss: 0.2512 - val_loss: 1.8284 - val_distribution_lambda_26_loss: 0.4173 - val_distribution_lambda_27_loss: 1.1303 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1401/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6558 - distribution_lambda_26_loss: 0.2933 - distribution_lambda_27_loss: 1.1224 - distribution_lambda_28_loss: 0.2401 - val_loss: 1.8193 - val_distribution_lambda_26_loss: 0.4098 - val_distribution_lambda_27_loss: 1.1272 - val_distribution_lambda_28_loss: 0.2823\n",
+ "Epoch 1402/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6643 - distribution_lambda_26_loss: 0.2784 - distribution_lambda_27_loss: 1.1327 - distribution_lambda_28_loss: 0.2533 - val_loss: 1.8188 - val_distribution_lambda_26_loss: 0.4128 - val_distribution_lambda_27_loss: 1.1271 - val_distribution_lambda_28_loss: 0.2790\n",
+ "Epoch 1403/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6982 - distribution_lambda_26_loss: 0.2969 - distribution_lambda_27_loss: 1.1417 - distribution_lambda_28_loss: 0.2596 - val_loss: 1.8294 - val_distribution_lambda_26_loss: 0.4177 - val_distribution_lambda_27_loss: 1.1279 - val_distribution_lambda_28_loss: 0.2838\n",
+ "Epoch 1404/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6520 - distribution_lambda_26_loss: 0.2843 - distribution_lambda_27_loss: 1.1253 - distribution_lambda_28_loss: 0.2423 - val_loss: 1.8301 - val_distribution_lambda_26_loss: 0.4235 - val_distribution_lambda_27_loss: 1.1251 - val_distribution_lambda_28_loss: 0.2815\n",
+ "Epoch 1405/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6810 - distribution_lambda_26_loss: 0.3005 - distribution_lambda_27_loss: 1.1295 - distribution_lambda_28_loss: 0.2510 - val_loss: 1.8142 - val_distribution_lambda_26_loss: 0.4112 - val_distribution_lambda_27_loss: 1.1213 - val_distribution_lambda_28_loss: 0.2817\n",
+ "Epoch 1406/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6321 - distribution_lambda_26_loss: 0.2767 - distribution_lambda_27_loss: 1.1065 - distribution_lambda_28_loss: 0.2489 - val_loss: 1.8091 - val_distribution_lambda_26_loss: 0.4108 - val_distribution_lambda_27_loss: 1.1177 - val_distribution_lambda_28_loss: 0.2807\n",
+ "Epoch 1407/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6636 - distribution_lambda_26_loss: 0.2850 - distribution_lambda_27_loss: 1.1221 - distribution_lambda_28_loss: 0.2565 - val_loss: 1.8142 - val_distribution_lambda_26_loss: 0.4112 - val_distribution_lambda_27_loss: 1.1224 - val_distribution_lambda_28_loss: 0.2805\n",
+ "Epoch 1408/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6377 - distribution_lambda_26_loss: 0.2683 - distribution_lambda_27_loss: 1.1275 - distribution_lambda_28_loss: 0.2419 - val_loss: 1.8402 - val_distribution_lambda_26_loss: 0.4245 - val_distribution_lambda_27_loss: 1.1346 - val_distribution_lambda_28_loss: 0.2811\n",
+ "Epoch 1409/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6658 - distribution_lambda_26_loss: 0.2691 - distribution_lambda_27_loss: 1.1491 - distribution_lambda_28_loss: 0.2476 - val_loss: 1.8537 - val_distribution_lambda_26_loss: 0.4351 - val_distribution_lambda_27_loss: 1.1382 - val_distribution_lambda_28_loss: 0.2804\n",
+ "Epoch 1410/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6474 - distribution_lambda_26_loss: 0.2918 - distribution_lambda_27_loss: 1.1075 - distribution_lambda_28_loss: 0.2481 - val_loss: 1.8183 - val_distribution_lambda_26_loss: 0.4050 - val_distribution_lambda_27_loss: 1.1338 - val_distribution_lambda_28_loss: 0.2795\n",
+ "Epoch 1411/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6426 - distribution_lambda_26_loss: 0.2748 - distribution_lambda_27_loss: 1.1227 - distribution_lambda_28_loss: 0.2452 - val_loss: 1.8153 - val_distribution_lambda_26_loss: 0.4023 - val_distribution_lambda_27_loss: 1.1315 - val_distribution_lambda_28_loss: 0.2814\n",
+ "Epoch 1412/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6965 - distribution_lambda_26_loss: 0.2804 - distribution_lambda_27_loss: 1.1505 - distribution_lambda_28_loss: 0.2657 - val_loss: 1.8345 - val_distribution_lambda_26_loss: 0.4169 - val_distribution_lambda_27_loss: 1.1306 - val_distribution_lambda_28_loss: 0.2870\n",
+ "Epoch 1413/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6683 - distribution_lambda_26_loss: 0.2938 - distribution_lambda_27_loss: 1.1290 - distribution_lambda_28_loss: 0.2455 - val_loss: 1.8302 - val_distribution_lambda_26_loss: 0.4211 - val_distribution_lambda_27_loss: 1.1267 - val_distribution_lambda_28_loss: 0.2824\n",
+ "Epoch 1414/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6318 - distribution_lambda_26_loss: 0.2861 - distribution_lambda_27_loss: 1.1085 - distribution_lambda_28_loss: 0.2372 - val_loss: 1.8295 - val_distribution_lambda_26_loss: 0.4248 - val_distribution_lambda_27_loss: 1.1256 - val_distribution_lambda_28_loss: 0.2791\n",
+ "Epoch 1415/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6503 - distribution_lambda_26_loss: 0.2964 - distribution_lambda_27_loss: 1.1161 - distribution_lambda_28_loss: 0.2378 - val_loss: 1.8168 - val_distribution_lambda_26_loss: 0.4143 - val_distribution_lambda_27_loss: 1.1216 - val_distribution_lambda_28_loss: 0.2808\n",
+ "Epoch 1416/2500\n",
+ "8/8 [==============================] - 0s 7ms/step - loss: 1.6750 - distribution_lambda_26_loss: 0.2846 - distribution_lambda_27_loss: 1.1224 - distribution_lambda_28_loss: 0.2680 - val_loss: 1.8054 - val_distribution_lambda_26_loss: 0.4101 - val_distribution_lambda_27_loss: 1.1189 - val_distribution_lambda_28_loss: 0.2763\n",
+ "Epoch 1417/2500\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6381 - distribution_lambda_26_loss: 0.2740 - distribution_lambda_27_loss: 1.1117 - distribution_lambda_28_loss: 0.2524 - val_loss: 1.8139 - val_distribution_lambda_26_loss: 0.4185 - val_distribution_lambda_27_loss: 1.1185 - val_distribution_lambda_28_loss: 0.2769\n",
+ "Epoch 1418/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.5959 - distribution_lambda_26_loss: 0.2659 - distribution_lambda_27_loss: 1.1019 - distribution_lambda_28_loss: 0.2281 - val_loss: 1.8195 - val_distribution_lambda_26_loss: 0.4156 - val_distribution_lambda_27_loss: 1.1225 - val_distribution_lambda_28_loss: 0.2813\n",
+ "Epoch 1419/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.6285 - distribution_lambda_26_loss: 0.2839 - distribution_lambda_27_loss: 1.1172 - distribution_lambda_28_loss: 0.2274 - val_loss: 1.8219 - val_distribution_lambda_26_loss: 0.4192 - val_distribution_lambda_27_loss: 1.1207 - val_distribution_lambda_28_loss: 0.2820\n",
+ "Epoch 1420/2500\n",
+ "8/8 [==============================] - 0s 6ms/step - loss: 1.5751 - distribution_lambda_26_loss: 0.2813 - distribution_lambda_27_loss: 1.0689 - distribution_lambda_28_loss: 0.2249 - val_loss: 1.8140 - val_distribution_lambda_26_loss: 0.4139 - val_distribution_lambda_27_loss: 1.1180 - val_distribution_lambda_28_loss: 0.2821\n"
]
}
],
"source": [
- "load_model_gk = True # load scaler and model weights for goalkeeper player predictor\n",
+ "load_model_gk = True# load scaler and model weights for goalkeeper player predictor\n",
"refit_model_gk = True\n",
"\n",
"if(load_model_gk):\n",
@@ -3850,7 +6456,7 @@
" X_gk_test = scaler_gk.transform(X_gk_test_)\n",
" \n",
" \n",
- "n_epochs = 2000\n",
+ "n_epochs = 2500\n",
"\n",
"n_samples = X_gk_train.shape[0]\n",
"\n",
@@ -3863,7 +6469,7 @@
"#tailweight_param = 1.1\n",
"\n",
"tailweight_min = 0.5\n",
- "tailweight_range = 1.5\n",
+ "tailweight_range = 1.1\n",
"\n",
"\n",
"callback = tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience = 30)\n",
@@ -3871,9 +6477,9 @@
"\n",
"\n",
"inputs = tfk.layers.Input(shape=(X_gk_len,), name=\"input\")\n",
- "x = tfk.layers.Dense(16, activation=\"sigmoid\") (inputs)\n",
- "x = tfk.layers.Dropout(0.3)(x)\n",
- "x = tfk.layers.Dense(16, activation=\"sigmoid\") (x)\n",
+ "x = tfk.layers.Dense(16, activation=\"relu\") (inputs)\n",
+ "x = tfk.layers.Dropout(0.2)(x)\n",
+ "x = tfk.layers.Dense(16, activation=\"relu\") (x)\n",
"\n",
"\n",
"prob_dist_params = 4\n",
@@ -3887,7 +6493,7 @@
"x1 = tfk.layers.Dense(prob_dist_params, activation=\"linear\")(x1)\n",
"out_1 = tfp.layers.DistributionLambda(prob_dist)(x1)\n",
"\n",
- "x2 = tfk.layers.Dense(8, activation=\"sigmoid\")(x)\n",
+ "x2 = tfk.layers.Dense(16, activation=\"sigmoid\")(x)\n",
"\n",
"x22 = tfk.layers.Dense(prob_dist_params, activation=\"linear\")(x2)\n",
"out_2 = tfp.layers.DistributionLambda(prob_dist)(x22)\n",
@@ -3912,7 +6518,7 @@
},
{
"cell_type": "code",
- "execution_count": 84,
+ "execution_count": 47,
"id": "39a9bdc6",
"metadata": {},
"outputs": [],
@@ -3932,7 +6538,7 @@
},
{
"cell_type": "code",
- "execution_count": 85,
+ "execution_count": 56,
"id": "c41cf448",
"metadata": {},
"outputs": [
@@ -3940,13 +6546,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.3332518280318889\n",
- "0.517152695472664\n"
+ "0.26941154847581295\n",
+ "0.6648856762830053\n"
]
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -3958,13 +6564,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "0.26093511091688437\n",
- "0.4031542261319754\n"
+ "0.28428997092873365\n",
+ "0.5972433047845432\n"
]
},
{
"data": {
- "image/png": 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SYBERkSot/XwuT8zbQVzCGQDG9mzMi4Pb4uutKcuViQKLiIhUWT8fz2Dc7HiOnb2Av4+Zqfd04O7ODd1dllwFBRYREamSPv/pKC8t+pncfBuNQmowa3Q0bSOD3F2WXCUFFhERqVJy8q1MXvILc39MAuC21qG8NbwTwTV83FyZXAsFFhERqTJOpF9g/Ox4dh7LwGSCp25vyaP9bsBs1pTlyk6BRUREqoQfDqbw2NztpGXlEhzgwzsPdOLWVqHuLkvKiQKLiIhUaoZhMCvuV/6xYh82A9pFBjFrdDRRITXcXZqUIwUWERGptDKz83j6i52s2HMKgPujG/LXYe3x9/Fyc2VS3hRYRESkUko4lcm4T+P5NSULXy8zk+9qx4PdorTEfhWlwCIiIpXO1ztP8OyCXZzPtRIR7M/M0dF0iqrt7rKkAimwiIhIpZFntfH35fv4YEMiAL2a1+XdBztTt5afmyuTiqbAIiIilcLpzGwe/Ww7PyamATD+1ub8cUBLvL20xH51oMAiIiIe76fDaUyYs43TmTnU8vPmn/d35I724e4uS64jBRYREfFYhmHw8cbDvLZ0L/k2gxahtZg1Jprm9Wu5uzS5zhRYRETEI53PzeeFr3azaMcJAAbfGMEb995ITT99dFVH+q2LiIjHOZySxbjZ8exLzsTLbOL52Nb8tndTTVmuxhRYRETEo6z+5RRPfb6DzOx86tXy472RnenerK67yxI3U2ARERGPYLUZvL06gXfXHAQgunEdZozqQliQv5srE0/g8lyw9evXM2TIECIjIzGZTCxatMjp8YcffhiTyeR069GjxxWfd8GCBbRt2xY/Pz/atm3LwoULXS1NREQqqbNZuTz84Y+OsPJwrybM/X0PhRVxcDmwZGVl0bFjR6ZPn15imzvuuIOTJ086bsuWLSv1OTdt2sSIESMYM2YMO3fuZMyYMQwfPpwtW7a4Wp6IiFQyu49lcOe7G/j+QAr+Pmb+NaIjk+9qh6+31leRS0yGYRhXfbLJxMKFCxk2bJjj2MMPP0x6enqRnpfSjBgxAovFwvLlyx3H7rjjDurUqcPcuXPL9BwWi4Xg4GAyMjIICgoq82uLiIj7fL71KC8t/pncfBuN69Zg1uho2kTo/+HVSVk/vyskvq5bt47Q0FBatmzJ73//e06fPl1q+02bNhETE+N0bODAgWzcuLHEc3JycrBYLE43ERGpHHLyrTz/1W6eWbCL3Hwbt7cJZcmjvRVWpETlHlhiY2OZM2cOa9as4c0332Tr1q3079+fnJycEs9JTk4mLCzM6VhYWBjJycklnjN16lSCg4Mdt6ioqHJ7DyIiUnGOp19g+KxNzP0xCZMJno5pyftjuhIc4OPu0sSDlfssoREjRji+b9++PV27dqVx48YsXbqUe+65p8TzLp9bbxhGqfPtn3/+eSZNmuS4b7FYFFpERDzchgMpPDZ3G2fP51G7hg/vPNCZvi3ru7ssqQQqfFpzREQEjRs35sCBAyW2CQ8PL9Kbcvr06SK9LoX5+fnh56fdOUVEKgPDMJgZd4h/rtiPzYD2DYKYOSqaqJAa7i5NKokKH4KdmprK0aNHiYiIKLFNz549WbVqldOxlStX0qtXr4ouT0REKpglO49HPo3njW/tYeX+6IZ8Oa6Xwoq4xOUelnPnznHw4EHH/cTERHbs2EFISAghISFMnjyZe++9l4iICA4fPswLL7xAvXr1uPvuux3nPPTQQzRo0ICpU6cC8MQTT9CnTx9ef/11hg4dyuLFi1m9ejUbNmwoh7coIiLuknAqk3GfxvNrSha+XmZeHdqOB26K0hL74jKXA8tPP/1Ev379HPcLxpGMHTuWmTNnsnv3bj755BPS09OJiIigX79+zJ8/n8DAQMc5SUlJmM2XOnd69erFvHnzeOmll3j55Zdp3rw58+fPp3v37tfy3kRExI2W7DzBs1/u4kKelchgf2aOjqZjVG13lyWV1DWtw+JJtA6LiIhnyLPamLpsH//7IRGAm2+oy7QHOlO3lsYdSlFl/fzWXkIiIlJuTmdm8+ic7fx4OA2ACbc2548xrfAy6xKQXBsFFhERKRc/HU5jwpxtnM7MoZafN/+8vyN3tA93d1lSRSiwiIjINTEMg482HuZvS/eSbzNoGVaLWaOjaVa/lrtLkypEgUVERK7a+dx8nv9qN4t3nADgzhsjeP3eG6npp48XKV/6L0pERK5KYkoW4z6NZ/+pTLzMJl4Y1Ibf3NxEU5alQiiwiIiIy1b9copJ83eQmZNPvVp+zBjVhW5NQ9xdllRhCiwiIlJmVpvBv1YlMH2tfQHRro3r8N6oLoQF+bu5MqnqFFhERKRMzmbl8vi87Xx/IAWAh3s14YVBbfD1rvBdXkQUWERE5Mp2H8tg3Ox4jqdfIMDHi7/f24GhnRq4uyypRhRYRESkVPO3JvHy4j3k5ttoUrcGs8ZE0zpcK4rL9aXAIiIixcrOszJ5yR7mbT0KwO1tQnlzeCeCA3zcXJlURwosIiJSxLGz55kwZxu7jmVgMsEfB7Rkwq03YNYS++ImCiwiIuLk+wNneHzuds6ez6N2DR+mPdCZPi3ru7ssqeYUWEREBACbzWBm3CHeXLkfmwEdGgQzY1QXokJquLs0EQUWEREBS3Yef/x8J6t+OQXAiK5RvDq0Hf4+Xm6uTMROgUVEpJrbn5zJI5/+xOHU8/h6mfnL0HY80K2Ru8sScaLAIiJSjS3ecZznFuzmQp6VBrUDmDGqCx2jaru7LJEiFFhERKqhPKuNKcv28uEPhwHofUM9pj3YmZCavu4tTKQECiwiItXMaUs2Ez/bxtbDZwGY2K85kwa0wktTlsWDKbCIiFQjWw+nMWHONs5k5hDo582bwzsS0y7c3WWJXJECi4hINWAYBh/+cJgpy/aSbzNoGVaLWaOjaVa/lrtLEykTBRYRkSrufG4+zy3YzZKdJwAY0jGS1+/tQA1ffQRI5aH/WkVEqrDElCzGfRrP/lOZeJtNvDCoDf93cxNMJo1XkcpFgUVEpIpauSeZP36+k8ycfOoH+vHeyC50axri7rJErooCi4hIFWO1Gby1aj/vrT0EwE1N6vDeyC6EBvm7uTKRq6fAIiJShaRl5fL43O1sOJgCwP/d3IQXBrXBx8vs5spEro0Ci4hIFbHzaDoT5mzjePoFAny8+Pu9HRjaqYG7yxIpFwosIiJVwLwfk/jz4j3kWm00qVuDWWOiaR0e5O6yRMqNAouISCWWnWfllcV7mP/TUQBubxPGWyM6EuTv4+bKRMqXAouISCV17Ox5xs/exu7jGZhN8MeYVozv2xyzltiXKkiBRUSkElqfcIbH520n/XwedWr4MO3BztzSor67yxKpMC4PG1+/fj1DhgwhMjISk8nEokWLHI/l5eXx7LPP0qFDB2rWrElkZCQPPfQQJ06cKPU5P/roI0wmU5Fbdna2y29IRKQqs9kMpq85wNgPfyT9fB43Ngzm68d6K6xIledyYMnKyqJjx45Mnz69yGPnz59n27ZtvPzyy2zbto2vvvqKhIQE7rrrris+b1BQECdPnnS6+ftrzQARkQIZF/L4w6fx/HNlAoYBD9wUxeeP9KRhnRruLk2kwrl8SSg2NpbY2NhiHwsODmbVqlVOx9599126detGUlISjRo1KvF5TSYT4eHaMVREpDj7ki2M+zSew6nn8fU285e72vFAt5L/nypS1VT4GJaMjAxMJhO1a9cutd25c+do3LgxVquVTp068de//pXOnTuX2D4nJ4ecnBzHfYvFUl4li4h4lMU7jvPcgt1cyLPSoHYAM0d34caGtd1dlsh1VaFLH2ZnZ/Pcc88xcuRIgoJKXg+gdevWfPTRRyxZsoS5c+fi7+/PzTffzIEDB0o8Z+rUqQQHBztuUVFRFfEWRETcJjffxuQle3hi3g4u5Fm5pUU9vn6st8KKVEsmwzCMqz7ZZGLhwoUMGzasyGN5eXncf//9JCUlsW7dulIDy+VsNhtdunShT58+TJs2rdg2xfWwREVFkZGR4dJriYh4olOWbCbO2cZPR84C8Gi/G3hqQEu8NGVZqhiLxUJwcPAVP78r5JJQXl4ew4cPJzExkTVr1rgcIMxmMzfddFOpPSx+fn74+flda6kiIh7nx8Q0Jn62jTOZOQT6efPWiE4MaBvm7rJE3KrcA0tBWDlw4ABr166lbt26Lj+HYRjs2LGDDh06lHd5IiIeyzAM/vfDYaYs24vVZtAqLJBZY6JpWq+mu0sTcTuXA8u5c+c4ePCg435iYiI7duwgJCSEyMhI7rvvPrZt28Y333yD1WolOTkZgJCQEHx9fQF46KGHaNCgAVOnTgXg1VdfpUePHrRo0QKLxcK0adPYsWMH7733Xnm8RxERj5eVk89zX+3m6532dauGdopk6j0dqOGr9T1F4CoCy08//US/fv0c9ydNmgTA2LFjmTx5MkuWLAGgU6dOTuetXbuWW2+9FYCkpCTM5kvjfdPT0/nDH/5AcnIywcHBdO7cmfXr19OtWzdXyxMRqXR+PXOOcbPjSTh1Dm+ziZcGt2FsryaYTBqvIlLgmgbdepKyDtoREfEkK/Yk88fPd3IuJ5/6gX7MGNWFm5qEuLsskevGrYNuRUSkdFabwT9X7mfmukMAdGsSwvSRnQkN0grfIsVRYBERuc5Sz+XwxLwdbDiYAsBvbm7K84Na4+NVoUtjiVRqCiwiItfRzqPpjJ8dz4mMbAJ8vHj9vhu5q2Oku8sS8XgKLCIi18ncH5N4ZfEecq02mtaryazR0bQKD3R3WSKVggKLiEgFy86z8ufFP/P5T8cAiGkbxj+HdyTI38fNlYlUHgosIiIV6GjaecbPiefn4xbMJnh6YCvG9WmOWUvsi7hEgUVEpILEJZzhiXnbST+fR50aPrz7YBd6t6jn7rJEKiUFFhGRcmazGby39iBvrU7AMODGhsHMHB1Ng9oB7i5NpNJSYBERKUcZF/L44+c7WL33NAAPdmvEK0Pa4u/j5ebKRCo3BRYRkXKy96SFcbPjOZJ6Hl9vM68Nbc/wm6LcXZZIlaDAIiJSDhZtP85zX+0iO89Gg9oBzBodTYeGwe4uS6TKUGAREbkGufk2pizby0cbDwNwS4t6THugM3Vq+rq3MJEqRoFFROQqnbJkM2HONuKPnAXgsf438OTtLfHSlGWRcqfAIiJyFbb8msrEz7aTci6HQH9v/jW8E7e3DXN3WSJVlgKLiIgLDMPggw2JTF2+D6vNoHV4ILNGR9OkXk13lyZSpSmwiIiUUVZOPs8s2MXSXScBGNopkqn3dKCGr/5XKlLR9FcmIlIGh86cY9yn8Rw4fQ5vs4mXBrdhbK8mmEwaryJyPSiwiIhcwbc/J/P0Fzs5l5NPaKAfM0Z1oWuTEHeXJVKtKLCIiJQg32rjzVUJzFx3CIBuTUOYPrIzoYH+bq5MpPpRYBERKUbquRwen7edHw6mAvC73k15NrY1Pl5mN1cmUj0psIiIXGbH0XQmzI7nREY2NXy9eP3eGxnSMdLdZYlUawosIiIXGYbB3B+PMnnJHnKtNprVq8msMdG0DAt0d2ki1Z4Ci4gIkJ1n5eVFP/NF/DEAYtqG8c/hHQny93FzZSICCiwiIhxNO8/4OfH8fNyC2QR/GtiacX2bacqyiAdRYBGRai0u4QxPzNtO+vk8Qmr68u6Dnbn5hnruLktELqPAIiLVks1mMH3tQf61OgHDgI4Ng5kxOpoGtQPcXZqIFEOBRUSqnYwLeUyav4Pv9p0GYGT3RrwypC1+3l5urkxESqLAIiLVyt6TFsbNjudI6nl8vc28Nqw9w7tGubssEbkCBRYRqTYWbj/G81/tJjvPRoPaAfx7TDTtGwS7uywRKQMFFhGp8nLzbfxt6S98vOkIAH1a1uedEZ2oU9PXzZWJSFkpsIhIlZackc2EOfFsS0oH4PH+N/DE7S3xMmvKskhl4vKmGOvXr2fIkCFERkZiMplYtGiR0+OGYTB58mQiIyMJCAjg1ltvZc+ePVd83gULFtC2bVv8/Pxo27YtCxcudLU0EREnm39N5c53v2dbUjqB/t58MLYrk2JaKayIVEIuB5asrCw6duzI9OnTi338jTfe4K233mL69Ols3bqV8PBwBgwYQGZmZonPuWnTJkaMGMGYMWPYuXMnY8aMYfjw4WzZssXV8kREMAyD/37/K6P+u4WUc7m0Dg/k60d7c1ubMHeXJiJXyWQYhnHVJ5tMLFy4kGHDhgH2/0lERkby5JNP8uyzzwKQk5NDWFgYr7/+Oo888kixzzNixAgsFgvLly93HLvjjjuoU6cOc+fOLVMtFouF4OBgMjIyCAoKutq3JCKVXFZOPs8s2MXSXScBGNYpkqn33EiAr6Ysi3iisn5+l+s+6YmJiSQnJxMTE+M45ufnR9++fdm4cWOJ523atMnpHICBAweWek5OTg4Wi8XpJiLV26Ez5xj63g8s3XUSb7OJvwxtx79GdFJYEakCyjWwJCcnAxAW5tztGhYW5nispPNcPWfq1KkEBwc7blFRWkdBpDr79ueTDJ3+AwdPnyMsyI/5j/TgoZ5NtB+QSBVRroGlwOX/gzAM44r/03D1nOeff56MjAzH7ejRo1dfsIhUWvlWG1OX72Xc7G2cy8mnW9MQvn6sN9GNQ9xdmoiUo3Kd1hweHg7Ye0wiIiIcx0+fPl2kB+Xy8y7vTbnSOX5+fvj5+V1jxSJSmaWcy+HxudvZeCgVgN/1bsqzsa3x8aqQf4uJiBuV619106ZNCQ8PZ9WqVY5jubm5xMXF0atXrxLP69mzp9M5ACtXriz1HBGp3rYnnWXIuxvYeCiVGr5eTB/ZmZfubKuwIlJFudzDcu7cOQ4ePOi4n5iYyI4dOwgJCaFRo0Y8+eSTTJkyhRYtWtCiRQumTJlCjRo1GDlypOOchx56iAYNGjB16lQAnnjiCfr06cPrr7/O0KFDWbx4MatXr2bDhg3l8BZFpCoxDIPPfkzi1SW/kGu10axeTf49JpoWYYHuLk1EKpDLgeWnn36iX79+jvuTJk0CYOzYsXz00Uc888wzXLhwgQkTJnD27Fm6d+/OypUrCQy89D+TpKQkzOZL/wrq1asX8+bN46WXXuLll1+mefPmzJ8/n+7du1/LexORKiY7z8pLi37my/hjAAxsF8Y/7+9IoL+PmysTkYp2TeuweBKtwyJStR1NO8+42fHsOWHBbIJn7mjNI32aaRaQSCVX1s9v7SUkIh5v7f7TPDlvBxkX8gip6cv0BzvT64Z67i5LRK4jBRYR8Vg2m8G7aw7y9ncJGAZ0jKrNzFFdiKwd4O7SROQ6U2AREY+UcT6Ppz7fwZp9pwEY2b0Rrwxpi5+3Vq0VqY4UWETE4/xywsK42fEkpZ3Hz9vMa8Pac39XrWYtUp0psIiIR/lq2zFeWLib7DwbDesEMGt0NO0bBLu7LBFxMwUWEfEIufk2/vrNL3y6+QgAfVvW550HOlG7hq+bKxMRT6DAIiJul5yRzfg58WxPSgfg8dta8MRtLfAya8qyiNgpsIiIW206lMpjc7eRci6XIH9v/jWiE7e1KXkfMRGpnhRYRMQtDMPgv98n8vdv92G1GbSJCGLW6C40rlvT3aWJiAdSYBGR6+5cTj7PfLmTZbvtu7Tf07kBf7u7AwG+mrIsIsVTYBGR6+rg6XM88ulPHDqThY+XiT/f2ZbRPRpriX0RKZUCi4hcN8t3n+TpL3aSlWslLMiPGaOiiW5cx91liUgloMAiIhUu32rjHyv28+/1vwLQvWkI00d2oX6gn5srE5HKQoFFRCpUyrkcHvtsO5t+TQXgD32a8czAVnh7md1cmYhUJgosIlJhtiedZcKcbZzMyKamrxf/uL8jgzpEuLssEamEFFhEpNwZhsGcLUm8+vUe8qwGzerX5P0x0dwQGuju0kSkklJgEZFylZ1n5cWFP7Ng2zEAYtuH88Z9NxLo7+PmykSkMlNgEZFyk5R6nnGz4/nlpAWzCZ69ozV/6NNMU5ZF5JopsIhIuVi7/zRPzttBxoU86tb05d0HO9PrhnruLktEqggFFhG5JjabwbQ1B3jnuwMYBnSKqs2MUV2IrB3g7tJEpApRYBGRq5ZxPo8n529n7f4zAIzu0YiX72yLn7eW2BeR8qXAIiJXZc+JDMbNjudo2gX8vM387e4O3Bfd0N1liUgVpcAiIi5bEH+MFxbuJiffRlRIADNHRdO+QbC7yxKRKkyBRUTKLDffxl+/+YVPNx8B4NZW9Xl7RCdq1/B1c2UiUtUpsIhImZzMuMCEOdvYnpSOyQSP92/BE7e1wGzWlGURqXgKLCJyRRsPpfD43O2knMslyN+bdx7oTL/Woe4uS0SqEQUWESmRYRi8v/5XXv92HzYD2kQE8e/R0TSqW8PdpYlINaPAIiLFOpeTz5++2Mnyn5MBuKdzA/52dwcCfDVlWUSuPwUWESni4OlMHvk0nkNnsvDxMvHnIe0Y3b2RltgXEbdRYBERJ8t2n+RPX+wkK9dKeJA/M0Z3oUujOu4uS0SqOQUWEQEg32rjjRX7eX/9rwD0aBbC9JFdqFfLz82ViYiAubyfsEmTJphMpiK3iRMnFtt+3bp1xbbft29feZcmIiU4k5nD6A+2OMLKI32aMfu33RVWRMRjlHsPy9atW7FarY77P//8MwMGDOD+++8v9bz9+/cTFBTkuF+/fv3yLk1EirEt6SwTZm8j2ZJNTV8v/nF/RwZ1iHB3WSIiTso9sFweNP7+97/TvHlz+vbtW+p5oaGh1K5du7zLEZESGIbB7M1H+Ms3v5BnNWhevyb/HhPNDaGB7i5NRKSIcr8kVFhubi6zZ8/mN7/5zRVnF3Tu3JmIiAhuu+021q5de8XnzsnJwWKxON1EpGwu5Fr54xc7eXnxHvKsBrHtw1n8aG+FFRHxWBUaWBYtWkR6ejoPP/xwiW0iIiJ4//33WbBgAV999RWtWrXitttuY/369aU+99SpUwkODnbcoqKiyrl6kaopKfU898zcyFfbjmM2wQuDWjNjVBdq+WkMvoh4LpNhGEZFPfnAgQPx9fXl66+/dum8IUOGYDKZWLJkSYltcnJyyMnJcdy3WCxERUWRkZHhNBZGRC5Zu+80T8zbjiU7n7o1fXl3ZGd6Na/n7rJEpBqzWCwEBwdf8fO7wv5JdeTIEVavXs1XX33l8rk9evRg9uzZpbbx8/PDz08zGETKwmYzeOe7A7zz3QEAOjeqzYxRXYgIDnBzZSIiZVNhgeXDDz8kNDSUwYMHu3zu9u3biYjQLAWR8pB+Ppcn5+9g3f4zAIzp0ZiX7myDn7eW2BeRyqNCAovNZuPDDz9k7NixeHs7v8Tzzz/P8ePH+eSTTwB4++23adKkCe3atXMM0l2wYAELFiyoiNJEqpWfj2cwfk48R9Mu4OdtZsrdHbg3uqG7yxIRcVmFBJbVq1eTlJTEb37zmyKPnTx5kqSkJMf93Nxcnn76aY4fP05AQADt2rVj6dKlDBo0qCJKE6k2vow/xosLd5OTbyMqJIBZo6NpFxns7rJERK5KhQ66vZ7KOmhHpKrLybfy129+YfZm+z8M+rWqz9sjOhNcw8fNlYmIFOX2Qbcicv2dzLjA+Nnb2HE0HZMJnritBY/3b4HZrF2WRaRyU2ARqSI2HkzhsbnbSc3KJcjfm3ce6Ey/1qHuLktEpFwosIhUcoZh8P76X3n9233YDGgbEcSs0dE0qluj1PMSEhI4dOgQN9xwAy1atLhO1YqIXB0FFpFKLDM7jz99sYtv9yQDcG+Xhrw2rD0BviVPWU5LS2PM6JEsW77CcWxQ7EBmz5lLnTp1KrxmEZGrocAi4uFWrFjBli1b6NmzJwMGDHAcP3g6k0c+jefQmSx8vEy8MqQdo7o3uuK+XWNGj2TzhtXMngB9WsP6ffD4p6sZPepBli77tqLfjojIVVFgEXGTK12SOXToEDf36s6p06mOY2Ghddm0eSu/ZPrzpy93cj7XSniQPzNHd6Fzoyv3jiQkJLBs+QpmT4BRN9uPjboZDMPKmJkrOHDggC4PiYhHqtDND0Wqm4SEBJYvX86BAwdKbJOWlsbgQXfQqlUrBg0aRMuWLRk86A7Onj3r1C66c0eyM1OZPQGSpsHsCZB97iw9x7/OxM+2cT7XSs9mdfnm8d5lCitgD0Fg71kprG8b+9eDBw+W/c2KiFxH6mERKQeujAt5YMT9bN24ln+MhNAgOGOB1xatZMTw+1i56jvAfhkoIzPLHlLy4IX50L19bTqNf5bD3h0AeKRvM/4U0wpvr0v/7rhSr03z5s0B+2Wgm5rBoVNwQzhsuZhTbrjhhnL9uYiIlBctHCdSDgYPuoPNG1YzbYy10LgQL3r0vt1pXEhCQgKtWrWiU2PYceTS+QX3ExISaNGiBW3atGHfvn34+9gDi29ka+oPex7vwLrYcs4TsPtL9q+e7zjflcAUWj8ES/pZcvIvHfPzhqDadTh9Jq38fzgiIqXQwnEi14kr40Li4uIwm+DwGXjmTsi3gY8Z/r0GzCb74y1atCAxMREvsz1I/G7CIJb7/558fLCmJXFm4RTIPONUQ1kH0iYkJJCaepbAAPjgD5faTvwIUlPPagyLiHgsBRaRKyjL4Fiwf/gnnLx0maXwuJCC806dOoXtYp/mG99ceo7aNcBm2B8HsFqt2Mx+3Dp+Il/79AdgcPD3dLFM43cpF5w2FXU1MNkMeO/hy9vCmJmXApOIiKdRYBEpQVkvs5jN9jEkd71Z9DIPUGTHci+zPSAU7mGZ9Z39eAFTYH3Ch73ADp+meGHluYiP+F29hRyrZX/carU62pZlIO3lIaSktiIinkqzhERKUPgyS8Esnc0b7JdZCrPZbJhNsPe48/l7j9sv8+TnXxosEhcXh9UGJpO9h+WtZfD6N/b7VhusX7+e7/aeIvyhf+Eb2pSatrM8wUuc/H4hq3+GuL325yk89Gzbtm2A/dJOYQVtd+7c6TjWt2/fUtsWPC4i4mnUwyJSjMKXWeoFwodx0LMFvDO66GWWEydOYDPsgaMwq835Mg/A7t27MQHnsp3bnssGk8nMHlMTfvvxT5j9a5FzfB/HlkzlCculdVgK/olR0KsD8OOPP2I2wcQP7T03fdvYA8ijH9kD06ZNmxxtW7ZsyYDb+/PoR2sxDMPR9rGPTQy4vZ8uB4mIx1JgESlGwWWWxz+FtMxLx0MC7V8LX2ZZt24dJoDLF5g12Q+tXbuWhx9+GLCHl+LamgJqUX/Q03g36wpA5ralpH33HzDlX9awaK1ZWVmAfTbRmJmXjvtd/Ou+cOGCU/v5n3/J6FEPMmZm4UtdMcyeM7fok4uIeAgFFqmWyrpeSVqW8/GC+4XXK/n5558xgMuiheP+rl27nI5f3tYntBmh97yAd3A4trxs3h7VneH/HAo2K5SwJVDh5fePHTuGzYCWkbA76VKbgvtHjx51OrdOnTosXfYtK1euZPPmzUWW/BcR8UQKLFKlXCmIpKWlMXL0SFYUGkg7MHYgcy8bSJuYmGjvzfABBgONgSPAUiAXDh8+7Hj+lJSUS22HFmq7DLBBamqhSzqXqdn+NkJiJmD28SPv7EnOLJzCPW/+ah9UW/Cc3bGnHDMQb3/OwoNuATDBL2eAey69/i/L7ccvX2qprD8DERFPokG3UiWkpaVxx2XL3d9RzHL3I0ePZPX61fYP9qeAe2D1+tU8eNlA2n/84x/2kDAYuBEIvvh1EGDAG2+84Wjr6+trbzvosrax9rY+Pj7OxZoAf29CfjOReoOfwuzjx/nEH0n+5EnyziRealeQMzYCm4AfLh67bKnHgIAAMMAa6/z61jvsbWvWrHlVPwMREU+iwCJVwv3D72fl2pVOH8Ir167kvuH3OdokJCSwYvkKrAOtzh/sMVZWLF/htP/PsWPH7N80vuyFmlz2ONChQ4dS2zoev8irVj3CR7xOYP1YDMNG+vezORP3V2zZl64/eXl52YONgdN7AsB08fGL0tPTS339tLRLq9e68jMQEfEkCixS6SUkJLDmuzUYgwynD2Ej1mDN6jWOD+GCgbQlfbAX3vive/fu9m+OXNb28GWPA+PHjy+17cSJEx2H/BvdSMTD7+BXvxXW/ExOH3+VjFrzwGI4DagNDAwstYen8PLVjqnIJbx+//79HYdc+RmIiHgSBRap9OLi4uzflPAhXPB4wUDakj7YCw+kNZkuTvFZCuwEMi5+XUaRHo6BAwfi5eNVbFsvHy8GDBiAYRjMijtE6IjX8KoRTE7qQZL/+yTZc+JhJRCE0+WbWrVqlfqeCl/m+eijj0qt9YMPPnC0deVnICLiSTToVtziSoNjr6rtESASOAuEAMecH27ZsiUDYweyesVqrBYr1AKywGujF7fH3u703Js3b7b3cHgBCws9SQ3AgB9++MGpPmueFcIvaxsG1lNWduzZx8xt51ix5xQms5lzu1eRtn4mRkzupQG6FwfIBgQEAPZekU8++cT+2I2FnvOw/cttt93m9N7mzZ3HAw8+4Pz6JvvxEn8GhtUegA6D18qiPwMREU+iwCLXlSszVMratlGjRvZvFgOFJ89c7ARp3PhSN8WM6TPo1qMbqasvzdypXb82M98rtIAJ0KZNG/bv3w93ADWBo0AUcA5YCO3atXO0dfTwPIh9vnIa9sDkDT6fRPGbeftJy/PGx8tE+nf/IXXLIvt4lIIgciP2cLQQcnNzAXuwcPSaGDiCRUGvSevWzmvrjxgxghEjRvDb3/6WNWvW0L9/f6eelcLmzpnLg6MeZMXCSz/X22NvZ67WYRERD6bAIuWmLD0hTjNULvYurF5hn6HybaFdhV1pa7PZSp1WXHhp/N//4fekZaY5PWfasjR+94ff8d2q7xzt7rzzThYtXmR/jligM/bAcLEnZMiQIY62GzZssH9T0BtS1363xqHe1H3oCdLyvIkI9mfGqC7c9ckj9gdLuNQTHBwMwJYtW0rt4Sm8em1hzz77LPfdd1+pl3bq1KnDt8u+5cCBAxw8eLBMvVwiIu6mMSxyzco6pdiVGSqutDWbzaVOKy7YfLCsg3PhYq+JAURgDwz/uvg1wv6ca9eudbTduXPnZWNIzNQ5/lvqRz6H2TcA79RDfP1Ybzo3qkN29sU1+UsYQ1KwKq2jBynosnYXV9otrjeqLL+Dwlq0aEFsbKzCiohUCgoscs3Kuq6HKzNUXGlrs9lKbVvQw1LWwbkAx49f3MmwM3AX0AF7700n++ETJ0442hqGYQ83dcC8sjZhyX8jKORuADI2f0Gt+I+pV8vPfj8jwx5uluE8QPZiz01GRgZgDxOYsI/HKTytOd3e7vKQobVVRKSq0yUhuSYFPSGXj8mwGlZWLHTeJNBphkoxA0kLX8aoqLaOdqUMzoVC++8sAgo2NdyNI+IX7N8D0K9fP3bt2oXfyNbU43m8fepis54nxfYvLsRt4v+eesrRtmbNmvZ1U/JwvtTjBRiXZgelpKQ4T2sGp7EuKSkpjlNd+R2IiFRWCixyTZx6QlK4FAKa2A8X3iTQlRkqrra9pe8tfL/0+yIDVPv07eNo61ivpITBuY7HuRhICsbF9ME+8PY8EAfkOm8oOH78eP73/SHqmH+Hycub3JQkziycQn7WMcfjBcLDw+2BpT6QXKiGesAp++Nw5V4jx+OUrTdKgUVEKjsFFrkmjt6NuTh/AIfZv1zeu+HKDBVX2u7cubNor4UZduzc4bjrmHlTnMsus+Tm5jou87Dqsvd1CnJycgC4kGvljfWnCBkwDoCszO9JDXoH49Zs+5iWy14vM/Pi1s9nLnv9ix0m586dA2Dw4MG8++67JfYa3XnnnY5DTj1MAcBxLs1oQmuriEjVoMAi16Rly5bUrV+X1LOpTjNvWAp169ct8i97V2aoFLS90q7CK1aswJJhAT+gC04bBVoyLKxatYoBAwbYp/kaRU63M+wLsD388MPAxUBiwj7GpPD7ujjWJCcnh8MpWYybHc++5EwMm5WzqR+SGbXIfl6hyzeff/45L774IgD16tXj+InjJc5oqlvXPsWoadOml8a6FO41uvj6TZo0cfodBNUOwrLIcunyFfafQVDtIPWuiEiVoEG3ck0SEhJIPZNa7BLyqWdSS9ybpiwzVApmvgwcOJBXXnmFmJiYYme+zJ492/6hXhvnjQKDAePi48CSJUsuXeYpPJDVBzDBwoWXumeCg4Ptz3nZhoJc3FDQv/lNDJm+gX3JmfhYszk170Uygxc596g0ufQzKtCvX79SZzQVLAh36NChUmcpFR50nJCQYA9sxbwvS4ZF+wOJSJVQ7oFl8uTJmEwmp1vBdfmSxMXFER0djb+/P82aNWPWrFnlXZZUkIrcm6asM18cy+gX9IYUfGBbcAoQZZ3+DIUWmyvyvswE9x5FVpcxZGbn06VRbRru+ZScoz+XOFU5OfnStTLHdOQSfl4FewSZzRf/NDsDjwGjLn7tZD9cuNYZM2aUuu/QjBkzEBGp7Cqkh6Vdu3acPHnScdu9e3eJbRMTExk0aBC33HIL27dv54UXXuDxxx9nwYIFFVGalLOK2pvGlXVY+vbtW2pvSL9+/QCIioqyn1BCWGjYsKHjkGMWUKH3ZTYCCc17hdo32wPT2J6NmfeHnqQdTyx1L59Tp045nuNKmyr27NkTKLQY3nLss5hCL3791v6chRfD+/XXX0t9X47HRUQqsQoJLN7e3oSHhztu9evXL7HtrFmzaNSoEW+//TZt2rThd7/7Hb/5zW/45z//WRGlSTkrmM3jtcLL6cPaa6UXA2MHXvX4iYpYh2Xw4MH2AyWEhcIDWS0Wy6XAsBN8Lc2JyPwXATWjseVlE7x3Ea8ObY+vt9k+3sTAvix/4cs3+YBRKNRh3yixdkjtYsNN7ZDajjE6zZs3tz9n8GXPeXGTxMJBsKwhSESkMquQwHLgwAEiIyNp2rQpDzzwQKn/wtu0aRMxMTFOxwYOHMhPP/1EXl5eiefl5ORgsVicblJ2CQkJLF++vFzGN8ydM5fb+9zu9MF6e59r25vGcUmkhA/hwpdEHD0YR7DPtjkApF5qW/B4WcMCwF133eUIDDUP3k646R94+4STZzlJ8qd/4sGel0JI165d7d8MxfnyzV32w126dCn6BosLN4U4gmCmFwwAhgEDwOtc0SDYpUuXUnt4OnbsWPT1RUQqmXKfJdS9e3c++eQTWrZsyalTp3jttdfo1asXe/bsccyAKCw5OZmwsDCnY2FhYeTn55OSkkJERESxrzN16lReffXV8i6/ynNl88Gyqoi9aZwuiRSeJVPMJRHHfz8lrK9S+L+v1q1b23divmz68+WbCb744ou89OpkQro8QmCHWADOZ/xI6mdvYjuXxXPPPVe06MbYe0QK/jMv5q9rxYoVpKel28fYNODSRonHIH1humNGExSa1r289Gndjt6YghBU+P0bmtYsIlVDuQeW2NhYx/cdOnSgZ8+eNG/enI8//phJkyYVe47J5LxYhWEYxR4v7Pnnn3d6PovFcmmMgpTIMZB1AI7F0AoGsl6++aCrCn5vZXGljRKLXBIpEAZccP4QNpvN9nDjjfNU4aWAzXkvoc0bNzuCjIMJNm/c7LQi7PH0C9z84gKOXfDCMGxkfD+HjE2fg8lg3tx5xb+pEtZMKWzLli32b0oIN5s2bXIElrIGQccie+tXY21phQtAAHgleHF7n9s1rVlEqoQKn9Zcs2ZNOnToUOKlh/DwcKdZFACnT5/G29u72B6ZAn5+fgQFBTndpHSOgayBVvtiaIuAlWCtVXQgqytc2XivrG1btmzJLX1uKXaBtVv63uL0Ibxu3bpSZ8kUbFQYFxdX6rTmgr2EfjiYwpB3N3DsghfW7ExOH5pMRth8iDHAFyY8OsGppLCwsFL3Byrcw3M1403KMgXccVluO7AP2H7tl+VERDxJhS8cl5OTw969e7nllluKfbxnz558/fXXTsdWrlxJ165d8fHxqejyqpVDhw6Vuhja1S7hfv/w+1n7w1qn51y5bCX3Db+P71Z959TWaaryxbarVxTfw7Pnlz3F9prs2bPHqZ2jJ66EQbeO59uz59K05kjgNPbLMrHAQvh5zx5mrDvIP1fsx2ZATvJBUi5MJb/DpVk+1IS0hWlOl24cs5RK2B+o8JL/AwcOtC+0tzS1yDYCdevXLXZhvLKoiMtyIiKepNx7WJ5++mni4uJITExky5Yt3HfffVgsFsaOHQvYL+U89NBDjvbjxo3jyJEjTJo0ib179/K///2PDz74gKeffrq8S6v2HOuQlDD9t/BA1rJKSEhgzXdrMAYZTs9pxBqsWb3GqdfGlanKK1asIC0lrdhek7QUe2AoMGrUKPs3JfRajB49Gig0m2g7MB2YA7wL7ACTbwBbvDvwxrf2sBKVf4xTc54hv8Ep5+dsYv/yzTffOA61bNmSOnWLH/9Tp26dIsFh65at1A2q6zTotm5QXbZu2Vrsc7iiLL0xIiKVUbkHlmPHjvHggw/SqlUr7rnnHnx9fdm8ebNjIa6TJ0+SlJTkaN+0aVOWLVvGunXr6NSpE3/961+ZNm0a9957b3mXVu2VdfqvKwouo5T0nI7HcW2qstNYj2Labtq0yXFo4MCBePt6FztLxtvX29FrMXjwYHsP00mcLgn55DQiYuy/OOkVhq+XmSl3d6BL/l6M/NwSQ5BjFhP2IHY29ax9Q8PC6sHZ1LNFLrUFBwdfmll0UdeuXalduzbFKc8ZXSIilVW5XxKaN6+EAYkXffTRR0WO9e3bl23btpV3KXIZp0Xeihkcek2zScow4NSV13ca61FM28JjPRISEsjPzbdfgrnskky+Nd8xmNaxXkrBSrdAjba3ULf545jNAdSv6c1/Hu5Op6jarJhxttRZSunp6Y6XcQSxB7HP1CmY+eMN/KvopbayXhariBldIiKVlfYSqkYqYpG3vn37ljrgtPD4DVde32nzv2Ket/Dmf46xOb7AzUDPi199cYzNAfsmhIA9JBhe1Mn9HfXznsVsDuDC4R0MZDudomoDF/f/KWXhtv379zte3ymI1QVaXPx62H64cBBz5bJYWbcmEBGpDhRYqpnyXuStZcuW9L+tf7ELofW/rX+REFTW14+Liyt187/Cl5qcxuYMAAZe/HrZ2JytW+1jRMzHahOW+zeCrMMAyEj7gtOf/5k927Y4njM0NNQegtJxWriNDIrM/HEliJX1spgrwUZEpDqo8FlC4lkqYjbJl59/WWSBs4EDBhYbglx+/c7AnTgtsEaic5Oyjs0JDg7Gr2Eb6oU+h7etLjbjPCkn/8WFL+3jYQpPje/WrZt9d+c87FPAC1yc+eO4ZHWRY5G3hWVY5A2ueFmsLMFGA2tFpDpRYKmmWrRoUW4feK4sGFfW13e61BTLpTEkxVxqcgoBAcBxIAo4Zz98ww03YBgGEX0fJCzsXkxe3uSmHOHMwinkpx13LEZXMJsIwGotvGRuUbm5uU73C4LYypUr2bx5Mz179ix2irJjkbcVq7FarFALyAKvjV7cHntpkbcKHW8kIlIJKbDINXNlbZWyKrjUtGbdGueBtN5FLzW1bNmS3n16s2HRBrAVamu2LzLXoHFTnpq/g0UHbJi8vMnav57UC9Mw+mRDFrCeIuNiGjRoYP9mKFADe89OQQhaCI0aNXKq15UBsjOmz6Bbj26krk51HKtdvzYz35vp9J4cwcawOgKb10rnYCMiUl0osMg1KRhrwT1c6gm4EayGlRULVzgtd3/5eaUtzQ/wn3//x/7BfubSB3vdOnX57/v/LdJ2165d9hVrB+O0yNzuxGTumbGRfcmZmIGU794nc/uSonsOGc6XWSIjI+2Pbcf5ElRT+5fL979yJbRNeHQC6efTndqmr0hn/MTxTm3LeplJRKQ6UGCRa+LqWAtXeiLK+sG+YsUKLOmWIqEpoEY3AutOYl9yJvVq+TG2RT6Pv76k2I0HWei8cJ5jf6KCNVsKQtDFHZALt3UltLnSVqvXiohcollCck2cxloUdtj+5fKxFk6bLw4DYoqfquvKLJmZMy9eSikITYaZ4LzRhDb4M2b/WtQ8n8zSx3tzQ5BxqV3h6cdN7IcLL5y3detW5zVbClbajQUM+PHHHx1tXVkQz5W2BbR6rYiIAotcI1em9Lqy+aIrH+yONVGOgNkIJDR3MrXzHwDA8tMSrKv/RViQv0vh6vTp06W+vuNxXAttrgY8ERGxU2CRa1bWtVWKbL5YsFuyBacF3sC1D3bDMMAEvj81JyLzbQJsXbDZskn59p+cXfM+JsM+YMWVcDV48OBSX//OO+90HHLleSti8T4RkepAY1jkmpV1rEWRzRe5+NWgyBgSV2bJNGzYkGO+jagbMx6Tty95Z09wZuEU8lIPg2F/vEBZB7IOHDiQkHohpC1NK7Krcki9kCJTll0ZIKvBtCIirlNgkXJzpbVVXN18sSwf7Nl5VrLa3kW9rvYemfMZW0hJeQujcxbEAbmFpijj2kDW1StX071nd/IW5jmO+fj58N2q74q0deV5NZhWRMR1Cixy3bi6GNqVPtiPp19g/Ox4TtZojmHYSE+djaXhFxB+cXBtTWAhZGRkFKmlLAvnPf/i89i8bdAOOA/UANt+G8+98FyJ68u4siBfeS7eJyJS1WkMi1w3Vzt+o7iVdDccSOHOad+z61gGXtZsTn8xGUvQ52Aq1LZJybUkJCSwfPnyEvfkcRogvA3YB2wrfoCwiIhUPAUWua5c2XwxLS2NOwbdQatWrRg0aJA98Ay6gzeX7+ah/23h7Pk82jcI4r7AQ2QnbitxgGzXrl1Lfc47Bt3B2bNnnU51ZYCwiIhUPF0Skisqy6q0ZeXK+I3LV481Ha3BDm5if1wSAMO7NuQvQ9uTlBjGG5OfhaUUGSCLCYYPH17ic5a0Iq0rA4RFRKTi6f+6UiJXVqV11ZXGb1y+IqyPrTH1b3gBH6MBRn4ek/o24IkhHQH7paYePXqwectm532HzNCjZ4+rWmU2KckeikoaIHzkyOXdOSIiUpF0SUhK5NQbcfGSSHGr0l6NFStW8Je//IVVq1YV+3jhheNq5PchPOdNfIwG5BunSZ7zDC29U5xPMGHv/SjssvtXs8psSZeZRETk+lIPyxWU5+WQyuRqNzW8kkOHDtG9Z3fnDQ3r12Xrlq00bdrUcax58+Zg9qJO1v8R5DsMgAvmHaQceANbssVpRlFCQgKbN20GX4psfrh502ZHra7MUurbt689BC3D+TLTcsB08XEREblu1MNSgrIOzqyqrqo3ogy69+xOqiXVqdcm1ZLKTd1vcmpXO6IRrcfPIKjOMAAyrJ9zet+fMS3PKjKj6PPPP7eHisE47/szCDAuPo7rK9L2v60/5OM0QJh86H9b/2oVXkVEPIECSwnuG34fK1atcDq2YtUK7ht+n5squr4qYs+bFStW2HtWigkWqWdSHZeHth5O485pG7hQqwFmaw6nv3qN9H9+Agttxc4ocmXfH1dmKX35+ZcMHDDQ6djAAQP58vMvXX7vIiJybXRJqBgJCQmsXbMW/IC7uHSJYRms+W7NVV8OqUxcWRq/rLZs2WL/poRgsXHjJo7VuIG/Ld1Lvs2geb0AjA2fknhgc6nP27GjffBtSZd6Onfu7DikFWlFRConBZZixMXF2S8xDKLYKa1xcXHV4oOrvPe86d69u/2bYoKFycePPUE38eHXvwBw540R7PjPn/jh+zVOz7Fi5QqG3j2U9evWO45FRkbax5uUMK05LCysSC1akVZEpHJRYClNCT0Bnqq8BwiXdw/DwIEDqVu/LqlLU52ChffGSMIffpkfT9nwMpt4YVAbetfPpfXoNfZerqE49XJ9v/57p16u5s2b25/PhPO0Zj/AuLrLVyIi4lk0hqUYjhkgJYzf8LQZIlczQPhKS9MX1qJFC2JjY8slBK1asQoffBxjSAJ2dyPiwX/hFRJFvVp+zP19D37buylffPGFcy9XwXiXWJwG0kKhwbReXtAL6An0Ai/v0pf8FxGRykOBpRgtW7ak/+39MS0zOc0mMS030f92z5sh4sp6Ke6e/eTYUDDGTO3fjSb03j9j9qtJQNYJlj7em25NQwDXBtJCocG0G4FNwMaSB9OKiEjlo8BSgi8//5KYfjFOs0li+sV43AwRxyZ9A61OPRHWmOI36avIxeDKWqsRW5PQ6MkE130AAMvZJeybMR7LqaOOtk4DaQs7bP9SeCAtXLp8lZCQwLJly0hISODbZd9e84q8IiLiGTSGpQSVZYZIWdZLuZql6SuqVt/wG6jf7AW8baHYyCbV513O14wDm3OtNput1IG0+fn5xb5GcTs7i4hI5afAcgWePkPEldVbncJNCnAWCKHYcFMREqz1CB/1BiaTL3mmE5zx/Rt55iMlr+1iAJE4D6RtCiQWfe6K3PdIRETcT4GlknNlvRRHuJkLJBd6kouzfitqNk12npXJS/Ywb+tpTN6+nP91Cym2tzAaZdmnNC830e/2fk61OgY2dwbuBNKwh6tjQGLRgc9l3YX5alTX7RlERDyJyagifegWi4Xg4GAyMjIICgpydznX1a+//kq3Ht2uuD8PQL3Qeval8S/bc6duUF1STl+2oWA5OHb2PBPmbGPXsQxMJqhzbAPb570O+YX+s/OG/rf257tV3zmde9uA21i7YS1GrOEIYqblJvr17ufUNiEhgVatWjlf6gL7gOmF9sevJmio10ZEpOKV9fO73AfdTp06lZtuuonAwEBCQ0MZNmwY+/fvL/WcdevWYTKZitz27dtX3uVVSRMenUD6+XSIAYYBMZB+Pp3xE8c7tUtISCh1afyyTHF2xfcHzjDk3Q3sOpZBnRo+/C0mku2z/w53GfAYMAr71yGwZvWaIq9f1oHPFbXvkTsHKIuIiLNyDyxxcXFMnDiRzZs3s2rVKvLz84mJiSErK+uK5+7fv5+TJ086bup+vzKnWUK9gE5Ar+JnCVXUB/vlbDaD99Ye5KH//cjZ83l0aBDM14/1pk528qXXrwu0uPi1hNcv68yfq9n36Err0Lg6+0pERCpWuY9h+fZb5/ECH374IaGhocTHx9OnT59Szw0NDaV27drlXVKV5sosIVcG6F4tS3Yef/x8J6t+OQXAiK5RvDq0Hf4+Xpy/yte/0sBnV8bxlPUyjys/VxERqXgVvg5LRkYGACEhIVds27lzZyIiIrjttttYu3ZtqW1zcnKwWCxOt+rIld4Fx4qwK7ycFsTzWlk+K8LuT87krnc3sOqXU/h6mfn7PR14/b4b8ffxqvDXL+suzGW9zFMRu1WLiMg1MCqQzWYzhgwZYvTu3bvUdvv27TPef/99Iz4+3ti4caMxfvx4w2QyGXFxcSWe88orrxjYJ7463TIyMsr7bXi8gbEDDa+aXgZ3Y/AUBndjeNX0MgbGDizSNi0tzRgYO9DpZzYwdqCRlpZ2TTUs2n7MaP3ScqPxs98YvaZ+Z+xIOltsu4p6/QIJCQnGsmXLjISEhCKP7d+/3/6a92AwudDtbnsdl5/jys9VRESuTkZGRpk+vyt0ltDEiRNZunQpGzZsoGHDhi6dO2TIEEwmE0uWLCn28ZycHHJychz3LRYLUVFR1XKW0NmzZ+27Krswm6W8FsTLs9qYsmwvH/5wGIBbWtTjnQc6E1LTt9Tz3LEg3/Llyxk0aJC9ZyW40AMZwL9g2bJlxMbGOg5fzc9VRERcU9ZZQhW2Dstjjz3GkiVLWL9+vcthBaBHjx7Mnj27xMf9/Pzw8/O7lhKrjKtZlbc8FsQ7bclmwpxt/HTEvg/RxH7NmTSgFV5m0xXPdceCfK6O4aksqx2LiFQH5R5YDMPgscceY+HChaxbt67IOiBltX37diIiIsq5uqrteoaAHxPTmPjZNs5k5hDo582bwzsS0y78urz21XJlcG5hnr7asYhIdVDugWXixIl89tlnLF68mMDAQJKT7VNZg4ODCQgIAOD555/n+PHjfPLJJwC8/fbbNGnShHbt2pGbm8vs2bNZsGABCxYsKO/y5BoZhsGHPxxmyrK95NsMWobVYtboaJrVr+Xu0spk7py59ss8Cy9d5rk9Vrs6i4h4unIPLDNnzgTg1ltvdTr+4Ycf8vDDDwNw8uRJkpKSHI/l5uby9NNPc/z4cQICAmjXrh1Lly61jzcQj3E+N5/nFuxmyc4TAAzpGMnr93aghm/l2eFBl3lERConLc0vZZKYksW4T+PZfyoTb7OJFwe34eFeTTCZrjxeRUREpCRuH3QrVcfKPcn88fOdZObkUz/QjxmjunBTkyuvqyMiIlJeFFikRFabwZsr9zNjnX3V15ua1OG9kV0IDfJ3c2UiIlLdKLBIsdKycnl87nY2HLTv4Px/NzfhhUFt8PGq8MWRRUREilBgkSJ2Hk1nwpxtHE+/QICPF3+/twNDOzVwd1kiIlKNKbCIk3k/JvHnxXvItdpoWq8ms0ZH0yo80N1liYhINafAIgBk51l5ZfEe5v90FIABbcN4c3hHgvx93FyZiIiIAosAR9POM2HONnYfz8Bsgj/GtGJ83+aYy7DEvoiIyPWgwFLNrU84w+PztpN+Po86NXyY9mBnbmlR391liYiIOFFgqaZsNoMZ6w7y5qoEDANubBjMjFFdaFinhrtLExERKUKBpRrKuJDHHz/fyeq9pwB4sFsUrwxph7+Pl5srExERKZ4CSzWzL9nCuE/jOZx6Hl9vM38d2o4RNzVyd1kiIiKlUmCpRhbvOM6zC3aRnWejQe0AZo7uwo0Na7u7LBERkStSYKkGcvNtTFm2l482Hgbglhb1eOeBzoTU9HVvYSIiImWkwFLFnbJkM3HONn46chaAR/vdwFMDWuKlKcsiIlKJKLBUYT8mpjHxs22cycwh0M+bt0Z0YkDbMHeXJSIi4jIFlirIMAz+98Nhpizbi9Vm0CoskFljomlar6a7SxMREbkqCixVTFZOPs8u2MU3u04CMLRTJFPv6UANX/2qRUSk8tKnWBXy65lzjJsdT8Kpc3ibTbw0uA1jezXBZNJ4FRERqdwUWKqIFXuS+ePnOzmXk0/9QD9mjOrCTU1C3F2WiIhIuVBgqeSsNoN/rtzPzHWHAOjWJITpIzsTGuTv5spERETKjwJLJZZ6Locn5u1gw8EUAH7buynPxbbGx8vs5spERETKlwJLJbXjaDoTZsdzIiObAB8vXr/vRu7qGOnuskRERCqEAkslYxgGc388yuQle8i12mharyb/HhNNy7BAd5cmIiJSYRRYKpHsPCt/Xvwzn/90DICYtmH8c3hHgvx93FyZiIhIxVJgqSSOpp1n/Jx4fj5uwWyCpwe2Ylyf5pi1xL6IiFQDCiyVQFzCGZ6Yt53083mE1PRl2gOd6d2inrvLEhERuW4UWDyYzWbw3tqDvLU6AcOAjg2DmTE6mga1A9xdmoiIyHWlwOKhMi7kMWn+Dr7bdxqAB7s14pUhbfH38XJzZSIiItefAosH2nvSwrjZ8RxJPY+vt5nXhrZn+E1R7i5LRETEbRRYPMyi7cd57qtdZOfZaFA7gFmjo+nQMNjdZYmIiLiVAouHyM23MWXZXj7aeBiAPi3r886ITtSp6evewkRERDxAha3hPmPGDJo2bYq/vz/R0dF8//33pbaPi4sjOjoaf39/mjVrxqxZsyqqNI9zypLNg//Z7Agrj/e/gQ8fvklhRURE5KIKCSzz58/nySef5MUXX2T79u3ccsstxMbGkpSUVGz7xMREBg0axC233ML27dt54YUXePzxx1mwYEFFlOdRNv+ayuBpG4g/cpZAf2/++1BXJsW0wkvrq4iIiDiYDMMwyvtJu3fvTpcuXZg5c6bjWJs2bRg2bBhTp04t0v7ZZ59lyZIl7N2713Fs3Lhx7Ny5k02bNpXpNS0WC8HBwWRkZBAUFHTtb6KCGYbBBxsSmbp8H1abQevwQGaNjqZJvZruLk1EROS6Kevnd7n3sOTm5hIfH09MTIzT8ZiYGDZu3FjsOZs2bSrSfuDAgfz000/k5eUVe05OTg4Wi8XpVllk5eTz6NztvLZ0L1abwdBOkXw1oZfCioiISAnKPbCkpKRgtVoJCwtzOh4WFkZycnKx5yQnJxfbPj8/n5SUlGLPmTp1KsHBwY5bVFTlmfb70cbDLN11Em+ziclD2vL2iE7U8NX4ZxERkZJU2KBbk8l5DIZhGEWOXal9cccLPP/882RkZDhuR48evcaKr5/f39KMwR0imPeHHjx8c9NSfy4iIiJSAdOa69Wrh5eXV5HelNOnTxfpRSkQHh5ebHtvb2/q1q1b7Dl+fn74+fmVT9HXma+3mfdGdXF3GSIiIpVGufew+Pr6Eh0dzapVq5yOr1q1il69ehV7Ts+ePYu0X7lyJV27dsXHx6e8SxQREZFKpkIuCU2aNIn//ve//O9//2Pv3r089dRTJCUlMW7cOMB+Oeehhx5ytB83bhxHjhxh0qRJ7N27l//973988MEHPP300xVRnoiIiFQyFTLSc8SIEaSmpvKXv/yFkydP0r59e5YtW0bjxo0BOHnypNOaLE2bNmXZsmU89dRTvPfee0RGRjJt2jTuvffeiihPREREKpkKWYfFHSrbOiwiIiLixnVYRERERMqbAouIiIh4PAUWERER8XgKLCIiIuLxFFhERETE4ymwiIiIiMdTYBERERGPp8AiIiIiHk+BRURERDxehSzN7w4FC/ZaLBY3VyIiIiJlVfC5faWF96tMYMnMzAQgKirKzZWIiIiIqzIzMwkODi7x8Sqzl5DNZuPEiRMEBgZiMpncXc4VWSwWoqKiOHr0qPY+8nD6XVUe+l1VLvp9VR4V+bsyDIPMzEwiIyMxm0seqVJleljMZjMNGzZ0dxkuCwoK0h9qJaHfVeWh31Xlot9X5VFRv6vSelYKaNCtiIiIeDwFFhEREfF4Cixu4ufnxyuvvIKfn5+7S5Er0O+q8tDvqnLR76vy8ITfVZUZdCsiIiJVl3pYRERExOMpsIiIiIjHU2ARERERj6fAIiIiIh5PgcUNZsyYQdOmTfH39yc6Oprvv//e3SVJMSZPnozJZHK6hYeHu7ssAdavX8+QIUOIjIzEZDKxaNEip8cNw2Dy5MlERkYSEBDArbfeyp49e9xTrFzx9/Xwww8X+Vvr0aOHe4qtxqZOncpNN91EYGAgoaGhDBs2jP379zu1cefflgLLdTZ//nyefPJJXnzxRbZv384tt9xCbGwsSUlJ7i5NitGuXTtOnjzpuO3evdvdJQmQlZVFx44dmT59erGPv/HGG7z11ltMnz6drVu3Eh4ezoABAxx7jsn1daXfF8Add9zh9Le2bNmy61ihAMTFxTFx4kQ2b97MqlWryM/PJyYmhqysLEcbt/5tGXJddevWzRg3bpzTsdatWxvPPfecmyqSkrzyyitGx44d3V2GXAFgLFy40HHfZrMZ4eHhxt///nfHsezsbCM4ONiYNWuWGyqUwi7/fRmGYYwdO9YYOnSoW+qRkp0+fdoAjLi4OMMw3P+3pR6W6yg3N5f4+HhiYmKcjsfExLBx40Y3VSWlOXDgAJGRkTRt2pQHHniAX3/91d0lyRUkJiaSnJzs9Hfm5+dH37599XfmwdatW0doaCgtW7bk97//PadPn3Z3SdVeRkYGACEhIYD7/7YUWK6jlJQUrFYrYWFhTsfDwsJITk52U1VSku7du/PJJ5+wYsUK/vOf/5CcnEyvXr1ITU11d2lSioK/Jf2dVR6xsbHMmTOHNWvW8Oabb7J161b69+9PTk6Ou0urtgzDYNKkSfTu3Zv27dsD7v/bqjK7NVcmJpPJ6b5hGEWOifvFxsY6vu/QoQM9e/akefPmfPzxx0yaNMmNlUlZ6O+s8hgxYoTj+/bt29O1a1caN27M0qVLueeee9xYWfX16KOPsmvXLjZs2FDkMXf9bamH5TqqV68eXl5eRZLo6dOniyRW8Tw1a9akQ4cOHDhwwN2lSCkKZnLp76zyioiIoHHjxvpbc5PHHnuMJUuWsHbtWho2bOg47u6/LQWW68jX15fo6GhWrVrldHzVqlX06tXLTVVJWeXk5LB3714iIiLcXYqUomnTpoSHhzv9neXm5hIXF6e/s0oiNTWVo0eP6m/tOjMMg0cffZSvvvqKNWvW0LRpU6fH3f23pUtC19mkSZMYM2YMXbt2pWfPnrz//vskJSUxbtw4d5cml3n66acZMmQIjRo14vTp07z22mtYLBbGjh3r7tKqvXPnznHw4EHH/cTERHbs2EFISAiNGjXiySefZMqUKbRo0YIWLVowZcoUatSowciRI91YdfVV2u8rJCSEyZMnc++99xIREcHhw4d54YUXqFevHnfffbcbq65+Jk6cyGeffcbixYsJDAx09KQEBwcTEBCAyWRy799Whc9DkiLee+89o3Hjxoavr6/RpUsXx5Qx8SwjRowwIiIiDB8fHyMyMtK45557jD179ri7LDEMY+3atQZQ5DZ27FjDMOzTL1955RUjPDzc8PPzM/r06WPs3r3bvUVXY6X9vs6fP2/ExMQY9evXN3x8fIxGjRoZY8eONZKSktxddrVT3O8IMD788ENHG3f+bZkuFikiIiLisTSGRURERDyeAouIiIh4PAUWERER8XgKLCIiIuLxFFhERETE4ymwiIiIiMdTYBERERGPp8AiIiIiHk+BRURERDyeAouIiIh4PAUWERER8XgKLCIiIuLx/h/eEZox8y9SjgAAAABJRU5ErkJggg==\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -4009,7 +6615,7 @@
},
{
"cell_type": "code",
- "execution_count": 86,
+ "execution_count": 57,
"id": "cecf5392",
"metadata": {},
"outputs": [],
@@ -4041,7 +6647,7 @@
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 21,
"id": "ddf433f9",
"metadata": {},
"outputs": [],
@@ -4168,7 +6774,7 @@
},
{
"cell_type": "code",
- "execution_count": 78,
+ "execution_count": 22,
"id": "d31bad38",
"metadata": {},
"outputs": [],
@@ -4194,7 +6800,7 @@
},
{
"cell_type": "code",
- "execution_count": 79,
+ "execution_count": 23,
"id": "62b9f588",
"metadata": {},
"outputs": [
@@ -4313,7 +6919,7 @@
"[380 rows x 3 columns]"
]
},
- "execution_count": 79,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -4332,36 +6938,30 @@
},
{
"cell_type": "code",
- "execution_count": 80,
- "id": "861a06ce",
- "metadata": {},
- "outputs": [],
- "source": [
- "matchday = 21"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
+ "execution_count": 24,
"id": "c58ba41d",
"metadata": {},
"outputs": [],
"source": [
- "def PlayerMatch(player, match = matchday):\n",
+ "def PlayerMatch(player, match = 0):\n",
" team = players.loc[player]['team']\n",
" \n",
- " for i in range (cal_df.shape[0]):\n",
- " if(cal_df['matchday'][i] == match):\n",
- " if(cal_df['team1'][i] == team):\n",
- " home = 1\n",
- " oppteam = cal_df['team2'][i]\n",
- " elif(cal_df['team2'][i] == team):\n",
- " home = 0\n",
- " oppteam = cal_df['team1'][i]\n",
+ " if(match == 0):\n",
+ " oppteam = 'Avg'\n",
+ " home = 1\n",
+ " else:\n",
+ " for i in range (cal_df.shape[0]):\n",
+ " if(cal_df['matchday'][i] == match):\n",
+ " if(cal_df['team1'][i] == team):\n",
+ " home = 1\n",
+ " oppteam = cal_df['team2'][i]\n",
+ " elif(cal_df['team2'][i] == team):\n",
+ " home = 0\n",
+ " oppteam = cal_df['team1'][i]\n",
" \n",
" return [player, team, oppteam, home]\n",
"\n",
- "def predict_player(player, match = matchday, plot = 0, log = 0, oldseason = False):\n",
+ "def predict_player(player, match = 0, plot = 0, log = 0, oldseason = False):\n",
" [player, team, oppteam, home] = PlayerMatch(player, match)\n",
" return vote_predict_NNb(player, team, oppteam, home = home, plot = plot, log = log, oldseason = oldseason)"
]
@@ -4376,7 +6976,7 @@
},
{
"cell_type": "code",
- "execution_count": 82,
+ "execution_count": 25,
"id": "f79792b6",
"metadata": {},
"outputs": [
@@ -4412,29 +7012,29 @@
" \n",
" \n",
" \n",
- " Carnesecchi \n",
+ " Tatarusanu \n",
" 1.00 \n",
" 90 \n",
" \n",
" \n",
- " Bianchetti \n",
- " 0.55 \n",
- " 55 \n",
+ " Thiaw \n",
+ " 0.65 \n",
+ " 65 \n",
" \n",
" \n",
- " Chiriches \n",
+ " Kjaer \n",
" 1.00 \n",
- " 80 \n",
+ " 85 \n",
" \n",
" \n",
- " Vasquez \n",
+ " Kalulu \n",
" 1.00 \n",
" 90 \n",
" \n",
" \n",
- " Sernicola \n",
- " 1.00 \n",
- " 90 \n",
+ " Saelemaekers \n",
+ " 0.60 \n",
+ " 60 \n",
" \n",
" \n",
" ... \n",
@@ -4442,54 +7042,54 @@
" ... \n",
" \n",
" \n",
- " Cuadrado \n",
- " 0.00 \n",
+ " Dumfries \n",
+ " 0.45 \n",
" 60 \n",
" \n",
" \n",
- " Pogba \n",
+ " Mkhitaryan \n",
+ " 0.45 \n",
+ " 55 \n",
+ " \n",
+ " \n",
+ " Asllani \n",
" 0.00 \n",
" 30 \n",
" \n",
" \n",
- " Miretti \n",
+ " Gagliardini \n",
" 0.00 \n",
" 50 \n",
" \n",
" \n",
- " Soule' \n",
- " 0.00 \n",
- " 30 \n",
- " \n",
- " \n",
- " Kean \n",
+ " Lukaku \n",
" 0.40 \n",
" 60 \n",
" \n",
" \n",
"\n",
- "449 rows × 2 columns
\n",
+ "438 rows × 2 columns
\n",
""
],
"text/plain": [
- " starter percentage\n",
- "player \n",
- "Carnesecchi 1.00 90\n",
- "Bianchetti 0.55 55\n",
- "Chiriches 1.00 80\n",
- "Vasquez 1.00 90\n",
- "Sernicola 1.00 90\n",
- "... ... ...\n",
- "Cuadrado 0.00 60\n",
- "Pogba 0.00 30\n",
- "Miretti 0.00 50\n",
- "Soule' 0.00 30\n",
- "Kean 0.40 60\n",
+ " starter percentage\n",
+ "player \n",
+ "Tatarusanu 1.00 90\n",
+ "Thiaw 0.65 65\n",
+ "Kjaer 1.00 85\n",
+ "Kalulu 1.00 90\n",
+ "Saelemaekers 0.60 60\n",
+ "... ... ...\n",
+ "Dumfries 0.45 60\n",
+ "Mkhitaryan 0.45 55\n",
+ "Asllani 0.00 30\n",
+ "Gagliardini 0.00 50\n",
+ "Lukaku 0.40 60\n",
"\n",
- "[449 rows x 2 columns]"
+ "[438 rows x 2 columns]"
]
},
- "execution_count": 82,
+ "execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
@@ -4512,7 +7112,7 @@
},
{
"cell_type": "code",
- "execution_count": 92,
+ "execution_count": 58,
"id": "5e63c2b7",
"metadata": {
"scrolled": true
@@ -4522,561 +7122,561 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Meret: MV 6.10 ± 0.98; FV 5.34 + 1.45 (44.1% cs)\n",
- "Provedel: MV 6.16 ± 0.77; FV 5.69 + 1.16 (59.7% cs)\n",
- "Vicario: MV 6.64 ± 0.90; FV 5.24 + 1.26 (16.3% cs)\n",
- "Szczesny: MV 6.10 ± 0.93; FV 5.25 + 1.58 (35.8% cs)\n",
- "Falcone: MV 6.16 ± 0.65; FV 5.99 + 0.99 (76.0% cs)\n",
- "Silvestri: MV 6.29 ± 1.34; FV 5.57 + 1.57 (51.0% cs)\n",
- "Rui Patricio: MV 6.13 ± 0.55; FV 5.82 + 0.99 (64.6% cs)\n",
- "Onana: MV 6.23 ± 0.65; FV 3.96 + 1.76 (5.0% cs)\n",
- "Sepe: MV 6.55 ± 0.82; FV 4.61 + 1.47 (7.0% cs)\n",
- "Milinkovic-Savic V.: MV 6.01 ± 0.09; FV 4.62 + 0.67 (5.5% cs)\n",
- "Musso: MV 6.16 ± 1.03; FV 5.44 + 1.50 (48.3% cs)\n",
- "Maignan: MV 6.27 ± 0.96; FV 4.23 + 2.06 (7.7% cs)\n",
- "Carnesecchi: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Di Gregorio: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Audero: MV 6.03 ± 0.25; FV 4.07 + 0.91 (1.0% cs)\n",
- "Montipo': MV 6.28 ± 0.70; FV 4.61 + 1.13 (1.8% cs)\n",
- "Skorupski: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Consigli: MV 5.99 ± 0.41; FV 3.36 + 1.71 (0.5% cs)\n",
- "Dragowski: MV 5.59 ± 0.34; FV 2.85 + 2.10 (0.3% cs)\n",
- "Terracciano: MV 6.01 ± 0.20; FV 4.68 + 1.14 (7.0% cs)\n",
- "Tatarusanu: MV 5.70 ± 0.38; FV 2.92 + 2.12 (0.3% cs)\n",
- "Handanovic: MV 5.85 ± 0.47; FV 3.07 + 2.29 (0.8% cs)\n",
- "Sportiello: MV 6.19 ± 1.20; FV 5.27 + 1.62 (35.7% cs)\n",
- "Perin: MV 6.19 ± 1.13; FV 5.42 + 1.60 (45.4% cs)\n",
- "Zoet: MV 6.46 ± 0.74; FV 4.60 + 1.36 (6.7% cs)\n",
- "Ochoa: MV 6.50 ± 0.92; FV 4.76 + 1.62 (10.5% cs)\n",
- "Pegolo: MV 6.12 ± 0.53; FV 3.73 + 1.73 (1.3% cs)\n",
- "Gollini: MV 6.13 ± 1.01; FV 5.49 + 1.41 (52.8% cs)\n",
- "Mirante: MV 6.27 ± 0.96; FV 4.23 + 2.06 (7.7% cs)\n",
- "Sarr M.: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Lamanna: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Ujkani: MV 6.64 ± 0.90; FV 5.24 + 1.26 (16.3% cs)\n",
- "Berisha: MV 6.01 ± 0.09; FV 4.62 + 0.67 (5.5% cs)\n",
- "Marchetti: MV 5.59 ± 0.34; FV 2.85 + 2.10 (0.3% cs)\n",
- "Perilli: MV 6.28 ± 0.70; FV 4.61 + 1.13 (1.8% cs)\n",
- "Padelli: MV 6.29 ± 1.34; FV 5.57 + 1.57 (51.0% cs)\n",
- "Perisan: MV 6.64 ± 0.90; FV 5.24 + 1.26 (16.3% cs)\n",
- "Bardi: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Cordaz: MV 6.23 ± 0.65; FV 3.96 + 1.76 (5.0% cs)\n",
- "Pinsoglio: MV 6.10 ± 0.93; FV 5.25 + 1.58 (35.8% cs)\n",
- "Fiorillo: MV 6.55 ± 0.82; FV 4.61 + 1.47 (7.0% cs)\n",
- "Cragno: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Sirigu: MV 6.01 ± 0.20; FV 4.68 + 1.14 (7.0% cs)\n",
- "Cerofolini: MV 6.01 ± 0.20; FV 4.68 + 1.14 (7.0% cs)\n",
- "Rossi F.: MV 6.16 ± 1.03; FV 5.44 + 1.50 (48.3% cs)\n",
- "Ravaglia F.: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Brancolini: MV 6.16 ± 0.65; FV 5.99 + 0.99 (76.0% cs)\n",
- "Bleve: MV 6.16 ± 0.65; FV 5.99 + 0.99 (76.0% cs)\n",
- "Berardi A.: MV 6.28 ± 0.70; FV 4.61 + 1.13 (1.8% cs)\n",
- "Russo A.: MV 5.99 ± 0.41; FV 3.36 + 1.71 (0.5% cs)\n",
- "Gemello: MV 6.01 ± 0.09; FV 4.62 + 0.67 (5.5% cs)\n",
- "Ravaglia: MV 6.03 ± 0.25; FV 4.07 + 0.91 (1.0% cs)\n",
- "Boer: MV 6.13 ± 0.55; FV 5.82 + 0.99 (64.6% cs)\n",
- "Adamonis: MV 6.16 ± 0.77; FV 5.69 + 1.16 (59.7% cs)\n",
- "Marfella: MV 6.10 ± 0.98; FV 5.34 + 1.45 (44.1% cs)\n",
- "Zovko: MV 5.61 ± 0.36; FV 2.85 + 2.17 (0.3% cs)\n",
- "Piana: MV 6.29 ± 1.34; FV 5.57 + 1.57 (51.0% cs)\n",
- "Bagnolini: MV 6.18 ± 0.82; FV 4.71 + 1.27 (4.4% cs)\n",
- "Luis Maximiano: MV 6.08 ± 0.54; FV 5.53 + 1.15 (54.4% cs)\n",
- "Svilar: MV 6.13 ± 0.55; FV 5.82 + 0.99 (64.6% cs)\n",
- "Sorrentino A.: MV 6.10 ± 0.47; FV 5.82 + 0.94 (72.1% cs)\n",
- "Ciezkowski: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Saro: MV 6.30 ± 1.26; FV 4.85 + 1.98 (9.2% cs)\n",
- "Vasquez D.: MV 6.38 ± 1.02; FV 4.65 + 1.79 (13.0% cs)\n",
- "Turk: MV 6.03 ± 0.25; FV 4.07 + 0.91 (1.0% cs)\n",
- "Dimarco: MV 6.16 ± 0.94; FV 6.64 + 1.86\n",
- "Smalling: MV 6.26 ± 0.99; FV 6.86 + 2.03\n",
- "Doig: MV 6.11 ± 1.20; FV 6.88 + 2.70\n",
- "Carlos Augusto: MV 6.37 ± 1.15; FV 7.25 + 2.84\n",
- "Kim: MV 6.24 ± 0.88; FV 6.76 + 1.66\n",
- "Posch: MV 6.04 ± 0.97; FV 6.41 + 1.69\n",
- "Di Lorenzo: MV 6.24 ± 0.83; FV 6.74 + 1.64\n",
- "Danilo: MV 6.25 ± 0.99; FV 6.80 + 1.95\n",
- "Hernandez T.: MV 6.01 ± 1.05; FV 6.23 + 1.50\n",
- "Udogie: MV 6.00 ± 1.01; FV 6.44 + 1.82\n",
- "Parisi: MV 6.08 ± 0.81; FV 6.37 + 1.29\n",
- "Mario Rui: MV 6.22 ± 0.82; FV 6.67 + 1.51\n",
- "Romagnoli: MV 6.19 ± 0.85; FV 6.52 + 1.31\n",
- "Bastoni S.: MV 5.93 ± 0.83; FV 6.08 + 1.15\n",
- "Mazzocchi: MV 6.05 ± 0.87; FV 6.29 + 1.24\n",
- "Valeri: MV 6.07 ± 0.67; FV 6.24 + 0.99\n",
- "Tomori: MV 5.94 ± 0.93; FV 6.05 + 1.27\n",
- "Scalvini: MV 6.07 ± 1.02; FV 6.42 + 1.63\n",
- "Toloi: MV 6.12 ± 0.86; FV 6.35 + 1.16\n",
- "Demiral: MV 6.01 ± 0.88; FV 6.23 + 1.23\n",
- "Maehle: MV 6.04 ± 0.91; FV 6.53 + 1.76\n",
- "Dumfries: MV 6.01 ± 0.93; FV 6.33 + 1.50\n",
- "Baschirotto: MV 6.23 ± 0.98; FV 6.79 + 1.96\n",
- "Bijol: MV 5.87 ± 1.05; FV 6.04 + 1.46\n",
- "Schuurs: MV 6.12 ± 0.68; FV 6.15 + 0.72\n",
- "Juan Jesus: MV 6.21 ± 0.78; FV 6.73 + 1.60\n",
- "Depaoli: MV 5.78 ± 0.91; FV 6.04 + 1.43\n",
- "Mancini: MV 6.05 ± 0.56; FV 6.06 + 0.59\n",
- "Ibanez: MV 6.05 ± 0.75; FV 6.21 + 0.95\n",
- "Rodrigo Becao: MV 6.04 ± 0.87; FV 6.24 + 1.13\n",
- "Ebuehi: MV 6.01 ± 0.72; FV 6.20 + 1.03\n",
- "Gosens: MV 5.95 ± 0.66; FV 6.11 + 1.01\n",
- "Darmian: MV 6.06 ± 0.72; FV 6.29 + 1.12\n",
- "Reca: MV 5.72 ± 0.90; FV 5.85 + 1.15\n",
- "Bremer: MV 6.06 ± 1.01; FV 6.36 + 1.55\n",
- "Sernicola: MV 5.98 ± 0.77; FV 6.19 + 1.14\n",
- "Rrahmani: MV 6.26 ± 0.90; FV 6.78 + 1.72\n",
- "Vojvoda: MV 5.98 ± 0.79; FV 6.10 + 1.01\n",
- "Holm: MV 5.79 ± 0.70; FV 5.83 + 0.85\n",
- "Bastoni: MV 6.02 ± 0.90; FV 6.25 + 1.33\n",
- "Milenkovic: MV 5.90 ± 1.02; FV 6.03 + 1.36\n",
- "Kalulu: MV 5.70 ± 1.18; FV 5.69 + 1.34\n",
- "Martinez Quarta: MV 6.06 ± 0.92; FV 6.33 + 1.30\n",
- "Casale: MV 6.09 ± 0.75; FV 6.20 + 0.90\n",
- "Perez N.: MV 6.04 ± 0.88; FV 6.25 + 1.15\n",
- "Olivera: MV 6.18 ± 0.80; FV 6.63 + 1.55\n",
- "Izzo: MV 6.10 ± 0.60; FV 6.21 + 0.79\n",
- "Luperto: MV 5.80 ± 1.13; FV 5.86 + 1.27\n",
- "Skriniar: MV 5.87 ± 0.82; FV 5.82 + 0.94\n",
- "Rodriguez R.: MV 5.98 ± 0.73; FV 5.97 + 0.69\n",
- "Marusic: MV 6.06 ± 0.67; FV 6.08 + 0.68\n",
- "Lazzari: MV 6.10 ± 0.71; FV 6.17 + 0.77\n",
- "Kyriakopoulos: MV 5.92 ± 0.84; FV 6.04 + 1.10\n",
- "Ampadu: MV 5.66 ± 1.05; FV 5.71 + 1.19\n",
- "Ismajli: MV 6.05 ± 0.79; FV 6.07 + 0.76\n",
- "Llorente D.: MV 5.97 ± 0.81; FV 6.12 + 1.04\n",
- "Cambiaso: MV 5.92 ± 0.75; FV 5.91 + 0.74\n",
- "Hysaj: MV 6.02 ± 0.54; FV 6.03 + 0.59\n",
- "Biraghi: MV 5.97 ± 0.63; FV 5.98 + 0.65\n",
- "Medel: MV 5.97 ± 0.78; FV 5.95 + 0.72\n",
- "Bonucci: MV 6.21 ± 1.07; FV 6.87 + 2.39\n",
- "Calabria: MV 5.88 ± 0.98; FV 5.98 + 1.28\n",
- "Acerbi: MV 6.05 ± 0.82; FV 6.30 + 1.21\n",
- "Spinazzola: MV 5.99 ± 0.55; FV 6.01 + 0.59\n",
- "Lykogiannis: MV 5.93 ± 0.60; FV 5.93 + 0.64\n",
- "Pellegrini Lu.: MV 6.07 ± 0.64; FV 6.14 + 0.74\n",
- "Djidji: MV 5.84 ± 0.87; FV 5.90 + 1.02\n",
- "Lazaro: MV 5.95 ± 0.85; FV 6.04 + 1.02\n",
- "Augello: MV 5.80 ± 0.91; FV 5.99 + 1.29\n",
- "Gallo: MV 5.98 ± 0.62; FV 5.94 + 0.52\n",
- "Singo: MV 5.96 ± 0.68; FV 5.98 + 0.75\n",
- "Mari': MV 6.11 ± 0.82; FV 6.43 + 1.27\n",
- "Caldirola: MV 6.04 ± 0.62; FV 6.01 + 0.56\n",
- "Dodo': MV 5.64 ± 0.93; FV 5.62 + 0.87\n",
- "De Vrij: MV 5.82 ± 0.90; FV 5.88 + 1.07\n",
- "Patric: MV 6.08 ± 0.69; FV 6.12 + 0.69\n",
- "Faraoni: MV 5.82 ± 0.71; FV 5.84 + 0.89\n",
- "Ceccherini: MV 5.69 ± 0.96; FV 5.78 + 1.14\n",
- "Hateboer: MV 5.83 ± 1.00; FV 6.07 + 1.56\n",
- "Rogerio: MV 5.74 ± 0.86; FV 5.78 + 0.96\n",
- "Umtiti: MV 6.06 ± 0.82; FV 6.10 + 0.82\n",
- "Aina: MV 5.93 ± 0.84; FV 6.09 + 1.21\n",
- "Birindelli: MV 5.99 ± 0.57; FV 6.05 + 0.65\n",
- "Lucumi': MV 5.85 ± 0.85; FV 5.83 + 0.81\n",
- "Ehizibue: MV 5.88 ± 0.82; FV 6.01 + 1.12\n",
- "Bianchetti: MV 5.86 ± 0.76; FV 5.97 + 0.96\n",
- "Ferrari G.: MV 5.74 ± 1.08; FV 5.79 + 1.29\n",
- "Fazio: MV 5.70 ± 1.34; FV 5.64 + 1.44\n",
- "Gravillon: MV 5.95 ± 0.84; FV 6.01 + 0.96\n",
- "Buongiorno: MV 5.92 ± 0.73; FV 5.85 + 0.65\n",
- "Gunter: MV 5.75 ± 1.04; FV 5.91 + 1.36\n",
- "Troost-Ekong: MV 5.71 ± 1.23; FV 5.75 + 1.37\n",
- "Soumaoro: MV 5.76 ± 1.02; FV 5.75 + 1.02\n",
- "Ceccaroni: MV 6.01 ± 0.77; FV 6.05 + 0.78\n",
- "Pongracic: MV 5.98 ± 0.64; FV 5.98 + 0.56\n",
- "Soppy: MV 5.86 ± 0.72; FV 5.82 + 0.70\n",
- "Gendrey: MV 5.87 ± 0.59; FV 5.85 + 0.52\n",
- "Hien: MV 5.67 ± 0.81; FV 5.62 + 0.76\n",
- "Ferrari A.: MV 5.94 ± 0.81; FV 6.09 + 1.10\n",
- "Masina: MV 6.01 ± 0.81; FV 6.24 + 1.17\n",
- "Zappacosta: MV 6.01 ± 0.73; FV 6.18 + 0.94\n",
- "Gyomber: MV 5.70 ± 0.89; FV 5.68 + 0.84\n",
- "Alex Sandro: MV 5.73 ± 0.87; FV 5.67 + 0.80\n",
- "Pezzella Giu.: MV 5.93 ± 0.55; FV 5.94 + 0.52\n",
- "Bereszynski: MV 5.93 ± 0.54; FV 5.89 + 0.50\n",
- "Venuti: MV 5.69 ± 0.76; FV 5.67 + 0.70\n",
- "Palomino: MV 6.00 ± 0.89; FV 6.12 + 1.02\n",
- "Nuytinck: MV 5.89 ± 0.99; FV 5.96 + 1.10\n",
- "Marlon: MV 5.98 ± 0.49; FV 5.92 + 0.46\n",
- "Magnani: MV 5.61 ± 1.01; FV 5.54 + 0.96\n",
- "Colley: MV 5.77 ± 1.10; FV 5.93 + 1.46\n",
- "Nikolaou: MV 5.52 ± 0.94; FV 5.43 + 0.90\n",
- "Terzic: MV 5.98 ± 0.43; FV 5.95 + 0.46\n",
- "Igor: MV 5.65 ± 0.92; FV 5.57 + 0.81\n",
- "Toljan: MV 5.67 ± 0.77; FV 5.66 + 0.81\n",
- "Zortea: MV 5.92 ± 0.81; FV 6.06 + 1.19\n",
- "Dawidowicz: MV 5.60 ± 0.97; FV 5.61 + 1.03\n",
- "Celik: MV 5.87 ± 0.60; FV 5.83 + 0.55\n",
- "Bellanova: MV 5.94 ± 0.75; FV 6.02 + 0.96\n",
- "Erlic: MV 5.74 ± 0.96; FV 5.77 + 1.04\n",
- "Ballo-Toure': MV 6.01 ± 0.67; FV 6.17 + 0.97\n"
+ "Meret: MV 6.24 ± 0.83; FV 5.81 + 0.85 (56.5% cs)\n",
+ "Provedel: MV 6.24 ± 0.83; FV 4.69 + 1.04 (0.9% cs)\n",
+ "Vicario: MV 6.24 ± 0.83; FV 5.24 + 0.81 (22.3% cs)\n",
+ "Szczesny: MV 6.24 ± 0.83; FV 5.41 + 1.14 (20.8% cs)\n",
+ "Falcone: MV 6.24 ± 0.83; FV 5.10 + 0.81 (1.3% cs)\n",
+ "Silvestri: MV 6.24 ± 0.83; FV 6.32 + 0.70 (90.3% cs)\n",
+ "Rui Patricio: MV 6.24 ± 0.83; FV 5.21 + 1.01 (36.2% cs)\n",
+ "Onana: MV 6.24 ± 0.83; FV 5.92 + 0.68 (75.7% cs)\n",
+ "Sepe: MV 6.24 ± 0.83; FV 5.12 + 0.83 (15.6% cs)\n",
+ "Milinkovic-Savic V.: MV 6.24 ± 0.83; FV 5.00 + 0.95 (11.2% cs)\n",
+ "Musso: MV 6.24 ± 0.83; FV 3.81 + 1.49 (0.6% cs)\n",
+ "Maignan: MV 6.24 ± 0.83; FV 6.00 + 0.73 (73.6% cs)\n",
+ "Carnesecchi: MV 6.24 ± 0.83; FV 4.57 + 1.04 (0.2% cs)\n",
+ "Di Gregorio: MV 6.25 ± 0.82; FV 4.11 + 1.48 (1.1% cs)\n",
+ "Audero: MV 6.24 ± 0.83; FV 4.55 + 1.06 (0.6% cs)\n",
+ "Montipo': MV 6.24 ± 0.83; FV 4.98 + 0.94 (6.1% cs)\n",
+ "Skorupski: MV 6.24 ± 0.83; FV 4.59 + 0.97 (0.3% cs)\n",
+ "Consigli: MV 6.24 ± 0.83; FV 4.17 + 1.27 (0.2% cs)\n",
+ "Dragowski: MV 6.24 ± 0.83; FV 5.35 + 0.75 (19.2% cs)\n",
+ "Terracciano: MV 6.24 ± 0.83; FV 4.16 + 1.30 (0.1% cs)\n",
+ "Tatarusanu: MV 6.24 ± 0.83; FV 4.59 + 1.26 (1.1% cs)\n",
+ "Handanovic: MV 6.24 ± 0.83; FV 5.88 + 0.68 (73.4% cs)\n",
+ "Sportiello: MV 6.23 ± 0.83; FV 3.84 + 1.56 (0.6% cs)\n",
+ "Perin: MV 6.25 ± 0.83; FV 5.67 + 1.10 (36.8% cs)\n",
+ "Zoet: MV 6.24 ± 0.83; FV 4.94 + 0.82 (6.0% cs)\n",
+ "Ochoa: MV 6.24 ± 0.83; FV 4.69 + 0.90 (2.1% cs)\n",
+ "Pegolo: MV 6.19 ± 0.84; FV 3.81 + 1.55 (0.2% cs)\n",
+ "Gollini: MV 6.24 ± 0.83; FV 5.18 + 0.91 (12.0% cs)\n",
+ "Mirante no data\n",
+ "Sarr M. no data\n",
+ "Lamanna no data\n",
+ "Ujkani no data\n",
+ "Berisha: MV 6.24 ± 0.83; FV 5.34 + 0.97 (24.2% cs)\n",
+ "Marchetti no data\n",
+ "Perilli no data\n",
+ "Padelli: MV 6.24 ± 0.83; FV 4.85 + 0.92 (0.8% cs)\n",
+ "Perisan no data\n",
+ "Bardi: MV 6.24 ± 0.83; FV 4.52 + 1.11 (1.2% cs)\n",
+ "Cordaz no data\n",
+ "Pinsoglio: MV 6.24 ± 0.83; FV 4.93 + 0.88 (5.9% cs)\n",
+ "Fiorillo: MV 6.24 ± 0.83; FV 4.54 + 1.12 (0.1% cs)\n",
+ "Cragno: MV 6.24 ± 0.83; FV 4.31 + 1.32 (0.0% cs)\n",
+ "Sirigu: MV 6.24 ± 0.83; FV 4.39 + 1.28 (0.0% cs)\n",
+ "Cerofolini no data\n",
+ "Rossi F.: MV 6.24 ± 0.83; FV 4.15 + 1.31 (0.1% cs)\n",
+ "Ravaglia F. no data\n",
+ "Brancolini no data\n",
+ "Bleve no data\n",
+ "Berardi A.: MV 6.24 ± 0.83; FV 4.39 + 1.22 (0.1% cs)\n",
+ "Russo A. no data\n",
+ "Gemello: MV 6.24 ± 0.83; FV 6.00 + 0.89 (75.0% cs)\n",
+ "Ravaglia: MV 6.24 ± 0.83; FV 4.33 + 1.32 (0.0% cs)\n",
+ "Boer no data\n",
+ "Adamonis no data\n",
+ "Marfella: MV 6.24 ± 0.83; FV 5.68 + 0.90 (40.5% cs)\n",
+ "Zovko: MV 6.24 ± 0.83; FV 4.84 + 0.84 (1.3% cs)\n",
+ "Piana no data\n",
+ "Bagnolini no data\n",
+ "Luis Maximiano: MV 6.10 ± 0.86; FV 4.82 + 1.71 (56.1% cs)\n",
+ "Svilar no data\n",
+ "Sorrentino A. no data\n",
+ "Ciezkowski no data\n",
+ "Saro no data\n",
+ "Vasquez D. no data\n",
+ "Turk no data\n",
+ "Dimarco: MV 6.29 ± 0.95; FV 6.93 + 2.01\n",
+ "Smalling: MV 6.22 ± 1.00; FV 6.64 + 1.69\n",
+ "Doig: MV 6.32 ± 1.21; FV 7.07 + 2.57\n",
+ "Carlos Augusto: MV 6.04 ± 1.05; FV 6.52 + 2.02\n",
+ "Kim: MV 6.32 ± 0.94; FV 6.85 + 1.93\n",
+ "Posch: MV 6.17 ± 1.20; FV 6.96 + 2.72\n",
+ "Di Lorenzo: MV 6.24 ± 0.80; FV 6.70 + 1.63\n",
+ "Danilo: MV 6.27 ± 0.94; FV 6.74 + 1.77\n",
+ "Hernandez T.: MV 6.04 ± 1.15; FV 6.44 + 1.95\n",
+ "Udogie: MV 6.15 ± 1.10; FV 6.75 + 2.24\n",
+ "Parisi: MV 6.28 ± 0.90; FV 6.93 + 1.99\n",
+ "Mario Rui: MV 6.23 ± 0.79; FV 6.57 + 1.45\n",
+ "Romagnoli: MV 6.13 ± 0.99; FV 6.30 + 1.31\n",
+ "Bastoni S.: MV 6.15 ± 0.95; FV 6.54 + 1.64\n",
+ "Mazzocchi: MV 6.18 ± 1.05; FV 6.69 + 1.95\n",
+ "Valeri: MV 5.93 ± 0.81; FV 6.08 + 0.99\n",
+ "Tomori: MV 6.13 ± 0.91; FV 6.40 + 1.32\n",
+ "Scalvini: MV 5.82 ± 1.11; FV 5.97 + 1.53\n",
+ "Toloi: MV 5.99 ± 0.97; FV 6.18 + 1.29\n",
+ "Demiral: MV 5.83 ± 0.90; FV 5.92 + 1.15\n",
+ "Maehle: MV 5.83 ± 1.00; FV 5.94 + 1.35\n",
+ "Dumfries: MV 6.22 ± 1.09; FV 6.79 + 2.06\n",
+ "Baschirotto: MV 6.17 ± 1.06; FV 6.57 + 1.81\n",
+ "Bijol: MV 6.00 ± 1.01; FV 6.29 + 1.61\n",
+ "Schuurs: MV 6.16 ± 0.81; FV 6.36 + 1.17\n",
+ "Juan Jesus: MV 6.19 ± 0.70; FV 6.51 + 1.31\n",
+ "Depaoli: MV 6.07 ± 1.04; FV 6.54 + 1.96\n",
+ "Mancini: MV 6.10 ± 0.72; FV 6.14 + 0.80\n",
+ "Ibanez: MV 6.09 ± 1.00; FV 6.44 + 1.57\n",
+ "Rodrigo Becao: MV 6.16 ± 0.88; FV 6.41 + 1.29\n",
+ "Ebuehi: MV 6.17 ± 0.80; FV 6.55 + 1.41\n",
+ "Gosens: MV 6.09 ± 0.66; FV 6.41 + 1.16\n",
+ "Darmian: MV 6.18 ± 0.80; FV 6.68 + 1.61\n",
+ "Reca: MV 6.03 ± 1.02; FV 6.31 + 1.56\n",
+ "Bremer: MV 6.08 ± 1.02; FV 6.32 + 1.43\n",
+ "Sernicola: MV 5.78 ± 0.84; FV 5.86 + 1.03\n",
+ "Rrahmani: MV 6.30 ± 0.91; FV 6.83 + 1.87\n",
+ "Vojvoda: MV 6.02 ± 0.99; FV 6.26 + 1.48\n",
+ "Holm: MV 6.06 ± 0.87; FV 6.28 + 1.28\n",
+ "Bastoni: MV 6.17 ± 0.83; FV 6.30 + 1.08\n",
+ "Milenkovic: MV 5.84 ± 1.08; FV 5.92 + 1.41\n",
+ "Kalulu: MV 5.82 ± 1.04; FV 5.84 + 1.14\n",
+ "Martinez Quarta: MV 5.90 ± 1.03; FV 5.98 + 1.21\n",
+ "Casale: MV 5.94 ± 0.94; FV 6.01 + 1.20\n",
+ "Perez N.: MV 6.09 ± 0.87; FV 6.13 + 0.97\n",
+ "Olivera: MV 6.17 ± 0.70; FV 6.58 + 1.42\n",
+ "Izzo: MV 5.93 ± 0.79; FV 5.93 + 0.75\n",
+ "Luperto: MV 6.13 ± 0.93; FV 6.32 + 1.23\n",
+ "Skriniar: MV 6.02 ± 0.74; FV 5.97 + 0.69\n",
+ "Rodriguez R.: MV 5.96 ± 0.87; FV 5.98 + 0.97\n",
+ "Marusic: MV 5.99 ± 0.81; FV 6.02 + 0.88\n",
+ "Lazzari: MV 6.03 ± 0.85; FV 6.07 + 0.95\n",
+ "Kyriakopoulos: MV 5.99 ± 0.94; FV 6.08 + 1.15\n",
+ "Ampadu: MV 5.88 ± 0.88; FV 5.88 + 1.02\n",
+ "Ismajli: MV 6.15 ± 0.74; FV 6.16 + 0.85\n",
+ "Llorente D.: MV 5.98 ± 0.98; FV 6.19 + 1.35\n",
+ "Cambiaso: MV 6.00 ± 0.81; FV 6.02 + 0.87\n",
+ "Hysaj: MV 5.96 ± 0.71; FV 6.00 + 0.73\n",
+ "Biraghi: MV 5.96 ± 0.75; FV 5.97 + 0.72\n",
+ "Medel: MV 5.99 ± 0.78; FV 5.92 + 0.73\n",
+ "Bonucci: MV 6.20 ± 0.97; FV 6.66 + 1.78\n",
+ "Calabria: MV 5.95 ± 1.00; FV 6.17 + 1.48\n",
+ "Acerbi: MV 6.15 ± 0.74; FV 6.24 + 0.94\n",
+ "Spinazzola: MV 5.95 ± 0.66; FV 6.03 + 0.65\n",
+ "Lykogiannis: MV 6.01 ± 0.71; FV 6.08 + 0.79\n",
+ "Pellegrini Lu.: MV 6.02 ± 0.77; FV 6.06 + 0.86\n",
+ "Djidji: MV 5.87 ± 1.01; FV 5.99 + 1.42\n",
+ "Lazaro: MV 5.91 ± 1.06; FV 6.07 + 1.40\n",
+ "Augello: MV 5.68 ± 0.90; FV 5.72 + 1.07\n",
+ "Gallo: MV 5.96 ± 0.75; FV 5.93 + 0.72\n",
+ "Singo: MV 6.03 ± 0.91; FV 6.24 + 1.33\n",
+ "Mari': MV 5.80 ± 1.11; FV 5.90 + 1.49\n",
+ "Caldirola: MV 5.77 ± 0.96; FV 5.72 + 0.97\n",
+ "Dodo': MV 5.77 ± 0.95; FV 5.65 + 0.95\n",
+ "De Vrij: MV 6.05 ± 0.78; FV 6.14 + 0.89\n",
+ "Patric: MV 6.00 ± 0.93; FV 6.01 + 1.00\n",
+ "Faraoni: MV 6.04 ± 0.83; FV 6.32 + 1.33\n",
+ "Ceccherini: MV 5.96 ± 0.96; FV 6.12 + 1.35\n",
+ "Hateboer: MV 5.73 ± 0.86; FV 5.75 + 1.02\n",
+ "Rogerio: MV 5.77 ± 0.93; FV 5.74 + 1.09\n",
+ "Umtiti: MV 5.92 ± 1.03; FV 6.00 + 1.18\n",
+ "Aina: MV 6.00 ± 1.03; FV 6.25 + 1.51\n",
+ "Birindelli: MV 5.80 ± 0.74; FV 5.80 + 0.80\n",
+ "Lucumi': MV 5.94 ± 0.84; FV 5.91 + 0.89\n",
+ "Ehizibue: MV 5.93 ± 0.92; FV 6.20 + 1.55\n",
+ "Bianchetti: MV 5.54 ± 1.02; FV 5.60 + 1.15\n",
+ "Ferrari G.: MV 5.71 ± 1.10; FV 5.78 + 1.40\n",
+ "Fazio: MV 5.80 ± 1.31; FV 6.05 + 1.86\n",
+ "Gravillon: MV 5.92 ± 1.00; FV 6.06 + 1.41\n",
+ "Buongiorno: MV 5.88 ± 0.89; FV 5.87 + 0.97\n",
+ "Gunter: MV 5.66 ± 1.00; FV 5.62 + 1.15\n",
+ "Troost-Ekong: MV 5.86 ± 1.14; FV 5.93 + 1.39\n",
+ "Soumaoro: MV 5.88 ± 0.98; FV 5.86 + 1.01\n",
+ "Ceccaroni: MV 5.93 ± 1.03; FV 6.05 + 1.34\n",
+ "Pongracic: MV 5.96 ± 0.78; FV 5.93 + 0.76\n",
+ "Soppy: MV 5.77 ± 0.76; FV 5.81 + 0.84\n",
+ "Gendrey: MV 5.82 ± 0.70; FV 5.80 + 0.63\n",
+ "Hien: MV 5.91 ± 0.81; FV 5.87 + 0.83\n",
+ "Ferrari A.: MV 5.57 ± 1.18; FV 5.61 + 1.33\n",
+ "Masina: MV 6.10 ± 1.06; FV 6.62 + 2.09\n",
+ "Zappacosta: MV 5.93 ± 0.79; FV 6.08 + 1.03\n",
+ "Gyomber: MV 5.83 ± 0.85; FV 5.78 + 0.82\n",
+ "Alex Sandro: MV 5.82 ± 0.91; FV 5.76 + 0.84\n",
+ "Pezzella Giu.: MV 5.90 ± 0.68; FV 5.91 + 0.60\n",
+ "Bereszynski: MV 6.00 ± 0.65; FV 5.95 + 0.56\n",
+ "Venuti: MV 5.75 ± 0.83; FV 5.73 + 0.85\n",
+ "Palomino: MV 5.86 ± 1.01; FV 5.92 + 1.19\n",
+ "Nuytinck: MV 5.71 ± 1.10; FV 5.68 + 1.25\n",
+ "Marlon: MV 5.78 ± 0.76; FV 5.75 + 0.72\n",
+ "Magnani: MV 5.95 ± 0.84; FV 5.89 + 0.84\n",
+ "Colley: MV 5.67 ± 1.14; FV 5.68 + 1.36\n",
+ "Nikolaou: MV 5.74 ± 0.79; FV 5.64 + 0.77\n",
+ "Terzic: MV 6.00 ± 0.56; FV 5.93 + 0.40\n",
+ "Igor: MV 5.75 ± 0.98; FV 5.60 + 0.94\n",
+ "Toljan: MV 5.65 ± 0.86; FV 5.60 + 0.91\n",
+ "Zortea: MV 5.80 ± 0.84; FV 5.88 + 1.10\n",
+ "Dawidowicz: MV 5.87 ± 0.97; FV 5.90 + 1.23\n",
+ "Celik: MV 5.81 ± 0.74; FV 5.81 + 0.68\n",
+ "Bellanova: MV 6.05 ± 0.78; FV 6.18 + 0.93\n",
+ "Erlic: MV 5.75 ± 1.06; FV 5.71 + 1.18\n",
+ "Ballo-Toure': MV 6.14 ± 0.79; FV 6.51 + 1.35\n",
+ "Dest: MV 5.79 ± 0.83; FV 5.78 + 0.80\n",
+ "Stojanovic: MV 5.90 ± 0.76; FV 5.91 + 0.76\n",
+ "Amian: MV 5.80 ± 0.81; FV 5.74 + 0.85\n",
+ "Bradaric: MV 5.75 ± 0.83; FV 5.73 + 0.98\n",
+ "Daniliuc: MV 5.81 ± 1.08; FV 5.86 + 1.33\n",
+ "Zima: MV 5.87 ± 0.94; FV 5.90 + 1.12\n",
+ "De Winter: MV 5.94 ± 0.76; FV 5.87 + 0.67\n",
+ "Quagliata: MV 5.73 ± 0.71; FV 5.73 + 0.68\n",
+ "Ebosse: MV 5.75 ± 0.72; FV 5.69 + 0.64\n",
+ "Aiwu: MV 5.70 ± 1.06; FV 5.75 + 1.30\n",
+ "Lochoshvili: MV 5.58 ± 0.90; FV 5.54 + 0.96\n",
+ "Bronn: MV 5.80 ± 0.70; FV 5.78 + 0.61\n",
+ "Thiaw: MV 5.99 ± 0.83; FV 5.97 + 0.80\n",
+ "Zeefuik: MV 5.98 ± 0.86; FV 6.06 + 1.03\n",
+ "Romagnoli S.: MV 5.98 ± 1.15; FV 6.30 + 1.81\n",
+ "Ghiglione: MV 5.67 ± 0.97; FV 5.69 + 1.15\n",
+ "Rugani: MV 6.04 ± 0.62; FV 5.98 + 0.52\n",
+ "De Sciglio: MV 5.94 ± 0.66; FV 5.94 + 0.57\n",
+ "Djimsiti: MV 5.80 ± 0.79; FV 5.81 + 0.80\n",
+ "Caldara: MV 5.79 ± 0.96; FV 5.73 + 1.01\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Dest: MV 5.67 ± 0.87; FV 5.75 + 0.98\n",
- "Stojanovic: MV 5.63 ± 0.78; FV 5.61 + 0.81\n",
- "Amian: MV 5.54 ± 0.85; FV 5.54 + 0.85\n",
- "Bradaric: MV 5.60 ± 0.82; FV 5.60 + 0.88\n",
- "Daniliuc: MV 5.66 ± 1.14; FV 5.66 + 1.25\n",
- "Zima: MV 5.89 ± 0.75; FV 5.85 + 0.67\n",
- "De Winter: MV 5.80 ± 0.79; FV 5.72 + 0.69\n",
- "Quagliata: MV 5.95 ± 0.54; FV 5.97 + 0.57\n",
- "Ebosse: MV 5.74 ± 0.70; FV 5.65 + 0.61\n",
- "Aiwu: MV 5.98 ± 0.72; FV 6.03 + 0.78\n",
- "Lochoshvili: MV 5.87 ± 0.62; FV 5.84 + 0.58\n",
- "Bronn: MV 5.77 ± 0.63; FV 5.71 + 0.58\n",
- "Thiaw: MV 5.71 ± 1.05; FV 5.77 + 1.22\n",
- "Zeefuik: MV 5.71 ± 0.86; FV 5.78 + 0.96\n",
- "Romagnoli S.: MV 6.14 ± 1.08; FV 6.76 + 2.16\n",
- "Ghiglione: MV 5.82 ± 0.77; FV 5.90 + 0.93\n",
- "Rugani: MV 6.00 ± 0.63; FV 5.98 + 0.56\n",
- "De Sciglio: MV 5.92 ± 0.57; FV 5.90 + 0.55\n",
- "Djimsiti: MV 5.93 ± 0.73; FV 5.90 + 0.68\n",
- "Caldara: MV 5.56 ± 1.07; FV 5.53 + 1.13\n",
- "Karsdorp: MV 5.95 ± 0.56; FV 5.91 + 0.53\n",
- "Marchizza: MV 5.79 ± 0.64; FV 5.71 + 0.68\n",
- "Kjaer: MV 5.89 ± 0.75; FV 5.85 + 0.85\n",
- "Okoli: MV 5.64 ± 0.87; FV 5.54 + 0.71\n",
- "Amione: MV 5.56 ± 0.86; FV 5.49 + 0.80\n",
- "Ruggeri: MV 5.92 ± 0.59; FV 5.84 + 0.53\n",
- "Zanoli: MV 5.94 ± 0.49; FV 5.91 + 0.47\n",
- "Wisniewski: MV 5.63 ± 0.97; FV 5.69 + 1.10\n",
- "Radovanovic: MV 5.49 ± 0.74; FV 5.30 + 0.62\n",
- "Dermaku: MV 5.98 ± 0.73; FV 6.04 + 0.73\n",
- "D'ambrosio: MV 6.07 ± 0.63; FV 6.15 + 0.77\n",
- "De Silvestri: MV 5.79 ± 0.87; FV 5.92 + 1.14\n",
- "Chiriches: MV 5.91 ± 0.72; FV 5.91 + 0.68\n",
- "Murru: MV 5.64 ± 0.84; FV 5.66 + 0.92\n",
- "Bonifazi: MV 5.75 ± 0.86; FV 5.70 + 0.76\n",
- "Donati: MV 6.08 ± 0.70; FV 6.13 + 0.73\n",
- "Walukiewicz: MV 5.64 ± 0.81; FV 5.59 + 0.75\n",
- "Ranieri L.: MV 5.71 ± 0.77; FV 5.73 + 0.86\n",
- "Gabbia: MV 5.51 ± 1.07; FV 5.41 + 1.06\n",
- "Kumbulla: MV 5.96 ± 0.48; FV 5.92 + 0.46\n",
- "Adopo: MV 5.89 ± 0.52; FV 5.82 + 0.49\n",
- "Pirola: MV 5.51 ± 0.91; FV 5.40 + 0.83\n",
- "Lovato: MV 5.54 ± 0.92; FV 5.46 + 0.82\n",
- "Tuia: MV 5.87 ± 0.76; FV 5.92 + 0.86\n",
- "Ferrer: MV 5.63 ± 1.04; FV 5.68 + 1.19\n",
- "Antov: MV 5.97 ± 0.73; FV 5.98 + 0.69\n",
- "Vasquez: MV 5.87 ± 0.63; FV 5.84 + 0.60\n",
- "Ruan: MV 5.43 ± 0.96; FV 5.17 + 0.83\n",
- "Ostigard: MV 6.06 ± 0.59; FV 6.07 + 0.61\n",
- "Coppola D.: MV 5.61 ± 0.78; FV 5.52 + 0.73\n",
- "Cacace: MV 5.68 ± 0.84; FV 5.61 + 0.78\n",
- "Gatti: MV 5.95 ± 0.70; FV 6.00 + 0.68\n",
- "Gila: MV 6.13 ± 0.78; FV 6.26 + 0.90\n",
- "Bayeye: MV 5.99 ± 0.87; FV 6.09 + 1.01\n",
- "Sambia: MV 5.79 ± 0.98; FV 5.85 + 1.07\n",
- "Moutinho J.: MV 5.51 ± 0.75; FV 5.48 + 0.73\n",
- "Conti: MV 5.89 ± 1.00; FV 6.22 + 1.64\n",
- "Marrone: MV 5.83 ± 0.71; FV 5.78 + 0.59\n",
- "Tonelli: MV 5.58 ± 0.83; FV 5.47 + 0.72\n",
- "Murillo: MV 5.57 ± 0.71; FV 5.44 + 0.60\n",
- "Radu: MV 6.08 ± 0.71; FV 6.15 + 0.72\n",
- "Paletta: MV 6.09 ± 0.72; FV 6.24 + 0.89\n",
- "Florenzi: MV 6.02 ± 0.72; FV 6.23 + 1.08\n",
- "Sala: MV 5.57 ± 0.75; FV 5.62 + 0.82\n",
- "Fares: MV 5.88 ± 0.65; FV 5.87 + 0.65\n",
- "Romagna: MV 5.87 ± 0.90; FV 5.94 + 1.12\n",
- "Cassandro: MV 5.98 ± 0.73; FV 6.05 + 0.75\n",
- "Muldur: MV 5.71 ± 0.77; FV 5.69 + 0.80\n",
- "Amey: MV 5.96 ± 0.86; FV 6.03 + 0.96\n",
- "Zanotti: MV 5.97 ± 0.91; FV 6.12 + 1.28\n",
- "Ebosele: MV 5.69 ± 0.76; FV 5.68 + 0.74\n",
- "Buta: MV 5.84 ± 0.90; FV 5.87 + 0.95\n",
- "Abankwah: MV 5.84 ± 0.90; FV 5.87 + 0.95\n",
- "Guessand A.: MV 5.84 ± 0.90; FV 5.87 + 0.95\n",
- "Cabal: MV 5.64 ± 0.91; FV 5.67 + 0.98\n",
- "Sosa: MV 5.71 ± 1.04; FV 5.76 + 1.13\n",
- "Guarino: MV 5.79 ± 0.86; FV 5.83 + 0.97\n",
- "Carboni F.: MV 6.03 ± 0.59; FV 6.07 + 0.63\n",
- "Zaccagni: MV 6.53 ± 1.34; FV 7.89 + 4.28\n",
- "Kvaratskhelia: MV 6.57 ± 1.39; FV 8.01 + 4.51\n",
- "Milinkovic-Savic: MV 6.46 ± 1.31; FV 7.71 + 4.03\n",
- "Barella: MV 6.31 ± 1.12; FV 7.02 + 2.56\n",
- "Zielinski: MV 6.43 ± 1.11; FV 7.14 + 2.44\n",
- "Luis Alberto: MV 6.45 ± 1.16; FV 7.44 + 3.20\n",
- "Strefezza: MV 6.44 ± 1.14; FV 7.20 + 2.59\n",
- "Felipe Anderson: MV 6.38 ± 1.29; FV 7.57 + 3.83\n",
- "Koopmeiners: MV 6.39 ± 1.31; FV 7.51 + 3.67\n",
- "Calhanoglu: MV 6.23 ± 0.97; FV 6.68 + 1.84\n",
- "Frattesi: MV 6.18 ± 1.27; FV 7.04 + 3.08\n",
- "Diaz B.: MV 6.17 ± 1.13; FV 6.95 + 2.65\n",
- "Vlasic: MV 6.17 ± 1.06; FV 6.77 + 2.21\n",
- "Zambo Anguissa: MV 6.40 ± 1.11; FV 7.15 + 2.52\n",
- "Elmas: MV 6.37 ± 1.08; FV 7.21 + 2.72\n",
- "Miranchuk: MV 6.26 ± 1.14; FV 7.15 + 2.93\n",
- "Samardzic: MV 6.17 ± 0.97; FV 6.87 + 2.26\n",
- "Pereyra: MV 6.16 ± 1.05; FV 6.84 + 2.34\n",
- "Politano: MV 6.29 ± 0.92; FV 6.89 + 1.98\n",
- "Rabiot: MV 6.23 ± 1.27; FV 7.12 + 3.17\n",
- "Ciurria: MV 6.42 ± 1.16; FV 7.33 + 2.96\n",
- "Lazovic: MV 5.97 ± 1.07; FV 6.39 + 1.80\n",
- "Lobotka: MV 6.24 ± 0.82; FV 6.76 + 1.66\n",
- "Radonjic: MV 6.13 ± 0.89; FV 6.47 + 1.53\n",
- "Ferguson: MV 6.14 ± 0.92; FV 6.67 + 1.89\n",
- "Bonaventura: MV 6.15 ± 1.02; FV 6.82 + 2.25\n",
- "Pessina: MV 6.27 ± 0.93; FV 6.76 + 1.71\n",
- "Tonali: MV 6.05 ± 1.01; FV 6.37 + 1.68\n",
- "Kostic: MV 6.17 ± 1.06; FV 6.89 + 2.49\n",
- "Baldanzi: MV 6.21 ± 1.03; FV 6.94 + 2.46\n",
- "Lovric: MV 6.10 ± 0.80; FV 6.48 + 1.47\n",
- "Pellegrini Lo.: MV 6.23 ± 1.18; FV 7.11 + 2.94\n",
- "El Shaarawy: MV 6.34 ± 1.08; FV 7.07 + 2.53\n",
- "Orsolini: MV 6.18 ± 1.30; FV 7.08 + 3.26\n",
- "Ikone': MV 5.99 ± 1.04; FV 6.39 + 1.75\n",
- "Candreva: MV 6.00 ± 0.95; FV 6.28 + 1.47\n",
- "Bennacer: MV 6.01 ± 0.71; FV 6.17 + 0.99\n",
- "Pasalic: MV 6.06 ± 1.19; FV 6.80 + 2.64\n",
- "Mkhitaryan: MV 6.05 ± 0.85; FV 6.37 + 1.42\n",
- "Colpani: MV 6.23 ± 0.87; FV 6.79 + 1.89\n",
- "Pogba: MV 5.98 ± 0.78; FV 6.10 + 0.95\n",
- "Chiesa: MV 6.24 ± 1.16; FV 7.04 + 2.80\n",
- "Bandinelli: MV 5.86 ± 0.89; FV 6.19 + 1.49\n",
- "Matic: MV 6.13 ± 0.72; FV 6.35 + 1.04\n",
- "Fagioli: MV 6.18 ± 1.11; FV 7.03 + 2.77\n",
- "Messias: MV 5.95 ± 0.98; FV 6.27 + 1.56\n",
- "Arslan: MV 5.96 ± 0.72; FV 6.13 + 0.97\n",
- "Ricci S.: MV 6.15 ± 0.82; FV 6.47 + 1.36\n",
- "Ranocchia F.: MV 6.24 ± 0.86; FV 6.74 + 1.69\n",
- "Verdi: MV 6.00 ± 0.74; FV 6.16 + 1.04\n",
- "Sensi: MV 6.26 ± 1.06; FV 7.04 + 2.48\n",
- "Barak: MV 5.83 ± 0.86; FV 6.02 + 1.25\n",
- "Soriano: MV 5.99 ± 0.64; FV 6.05 + 0.74\n",
- "Dominguez: MV 6.05 ± 0.80; FV 6.26 + 1.18\n",
- "Vilhena: MV 5.81 ± 0.95; FV 6.14 + 1.54\n",
- "Brozovic: MV 6.12 ± 0.84; FV 6.46 + 1.40\n",
- "Cristante: MV 5.95 ± 0.70; FV 6.03 + 0.80\n",
- "Thorstvedt: MV 5.89 ± 0.80; FV 6.00 + 1.12\n",
- "De Ketelaere: MV 5.86 ± 0.69; FV 5.89 + 0.85\n",
- "Saponara: MV 6.01 ± 1.02; FV 6.46 + 1.80\n",
- "Vecino: MV 6.02 ± 0.80; FV 6.18 + 1.09\n",
- "Locatelli: MV 6.06 ± 0.67; FV 6.13 + 0.77\n",
- "Zaniolo: MV 5.93 ± 0.92; FV 6.17 + 1.33\n",
- "Duda: MV 5.77 ± 0.82; FV 5.83 + 0.93\n",
- "Maldini: MV 5.90 ± 0.77; FV 6.10 + 1.16\n",
- "Marin: MV 5.79 ± 1.00; FV 6.04 + 1.59\n",
- "Zalewski: MV 6.01 ± 0.56; FV 6.06 + 0.63\n",
- "Bajrami: MV 5.86 ± 0.89; FV 6.09 + 1.38\n",
- "Coulibaly L.: MV 5.85 ± 1.03; FV 6.05 + 1.47\n",
- "Gonzalez J.: MV 6.06 ± 0.84; FV 6.28 + 1.14\n",
- "De Roon: MV 5.96 ± 0.63; FV 5.92 + 0.56\n",
- "Mandragora: MV 5.92 ± 0.81; FV 6.07 + 1.12\n",
- "Wijnaldum: MV 5.98 ± 0.65; FV 5.99 + 0.64\n",
- "Bourabia: MV 5.71 ± 0.79; FV 5.81 + 0.94\n",
- "Sottil: MV 6.07 ± 1.05; FV 6.61 + 2.02\n",
- "Aebischer: MV 5.92 ± 0.87; FV 6.32 + 1.58\n",
- "Ederson D.s.: MV 5.85 ± 0.84; FV 6.00 + 1.16\n",
- "Miretti: MV 5.97 ± 0.64; FV 6.02 + 0.76\n",
- "Blin: MV 6.00 ± 0.51; FV 5.98 + 0.52\n",
- "Hjulmand: MV 6.08 ± 0.82; FV 6.14 + 0.85\n",
- "Cataldi: MV 6.03 ± 0.57; FV 6.01 + 0.56\n",
- "Djuricic: MV 5.68 ± 0.98; FV 6.09 + 1.63\n",
- "Linetty: MV 5.92 ± 0.83; FV 6.13 + 1.31\n",
- "Haas: MV 5.83 ± 0.78; FV 6.10 + 1.32\n",
- "Walace: MV 5.90 ± 0.64; FV 5.86 + 0.59\n",
- "Agudelo: MV 5.82 ± 0.57; FV 5.77 + 0.61\n",
- "Pobega: MV 5.94 ± 0.81; FV 6.10 + 1.16\n",
- "Camara Ma.: MV 6.13 ± 0.68; FV 6.27 + 0.88\n",
- "Paredes: MV 5.83 ± 0.65; FV 5.78 + 0.60\n",
- "Ndombele': MV 5.97 ± 0.52; FV 5.99 + 0.54\n",
- "Nicolussi Caviglia: MV 5.99 ± 0.88; FV 6.19 + 1.19\n",
- "Rovella: MV 6.12 ± 0.74; FV 6.24 + 0.85\n",
- "Amrabat: MV 5.89 ± 0.88; FV 5.91 + 0.93\n",
- "Tameze: MV 5.77 ± 0.76; FV 5.76 + 0.88\n",
- "Gyasi: MV 5.71 ± 0.90; FV 5.92 + 1.26\n",
- "Ilic: MV 5.97 ± 0.80; FV 6.02 + 0.89\n",
- "Matheus Henrique: MV 5.89 ± 0.74; FV 5.97 + 1.01\n",
- "Harroui: MV 5.84 ± 0.69; FV 5.91 + 0.95\n",
- "Volpato: MV 6.22 ± 1.08; FV 7.02 + 2.57\n",
- "Pickel: MV 5.82 ± 0.72; FV 5.94 + 1.00\n",
- "Moro N.: MV 5.96 ± 0.58; FV 5.99 + 0.63\n",
- "Duncan: MV 5.88 ± 0.65; FV 5.89 + 0.76\n",
- "Machin: MV 6.07 ± 0.74; FV 6.21 + 0.90\n",
- "Cuadrado: MV 6.03 ± 0.89; FV 6.33 + 1.35\n",
- "Ekdal: MV 5.66 ± 0.62; FV 5.66 + 0.62\n",
- "Meite': MV 5.83 ± 0.85; FV 5.96 + 1.07\n",
- "Schouten: MV 5.93 ± 0.67; FV 5.90 + 0.63\n",
- "Obiang: MV 5.92 ± 0.54; FV 5.88 + 0.54\n",
- "Kovalenko: MV 5.89 ± 0.61; FV 5.88 + 0.71\n",
- "Crnigoj: MV 5.92 ± 0.81; FV 6.14 + 1.21\n",
- "Basic: MV 6.00 ± 0.54; FV 6.02 + 0.64\n",
- "Asllani: MV 5.98 ± 0.56; FV 5.97 + 0.62\n",
- "Sabiri: MV 5.71 ± 0.90; FV 5.96 + 1.37\n",
- "Terracciano F.: MV 5.96 ± 0.51; FV 5.98 + 0.59\n",
- "Castagnetti: MV 5.94 ± 0.50; FV 5.92 + 0.53\n",
- "Oudin: MV 5.90 ± 0.58; FV 5.93 + 0.59\n",
- "Grassi: MV 5.88 ± 0.58; FV 5.82 + 0.54\n",
- "Krunic: MV 5.90 ± 0.66; FV 5.94 + 0.83\n",
- "Rincon: MV 5.68 ± 0.84; FV 5.65 + 0.87\n",
- "Miguel Veloso: MV 5.87 ± 0.64; FV 5.82 + 0.67\n",
- "Leris: MV 5.70 ± 0.76; FV 5.74 + 0.97\n",
- "Esposito Sa.: MV 5.66 ± 1.06; FV 5.70 + 1.22\n",
- "Henderson L.: MV 5.81 ± 0.71; FV 5.92 + 0.97\n",
- "Lopez M.: MV 5.91 ± 0.72; FV 5.90 + 0.88\n"
+ "Karsdorp: MV 5.88 ± 0.79; FV 5.90 + 0.74\n",
+ "Marchizza: MV 5.75 ± 0.76; FV 5.71 + 0.79\n",
+ "Kjaer: MV 5.87 ± 0.72; FV 5.83 + 0.63\n",
+ "Okoli: MV 5.59 ± 0.92; FV 5.53 + 0.89\n",
+ "Amione: MV 5.52 ± 0.85; FV 5.45 + 0.88\n",
+ "Ruggeri: MV 5.71 ± 0.65; FV 5.73 + 0.54\n",
+ "Zanoli: MV 5.70 ± 0.81; FV 5.63 + 0.83\n",
+ "Wisniewski: MV 5.95 ± 0.87; FV 6.00 + 1.03\n",
+ "Radovanovic: MV 5.68 ± 0.75; FV 5.60 + 0.71\n",
+ "Dermaku: MV 5.93 ± 0.88; FV 5.98 + 1.05\n",
+ "D'ambrosio: MV 6.16 ± 0.68; FV 6.39 + 1.11\n",
+ "De Silvestri: MV 5.95 ± 0.99; FV 6.14 + 1.46\n",
+ "Chiriches: MV 5.58 ± 1.22; FV 5.54 + 1.24\n",
+ "Murru: MV 5.50 ± 0.82; FV 5.44 + 0.84\n",
+ "Bonifazi: MV 5.83 ± 0.83; FV 5.74 + 0.82\n",
+ "Donati: MV 5.75 ± 0.89; FV 5.71 + 0.94\n",
+ "Walukiewicz: MV 5.91 ± 0.70; FV 5.91 + 0.62\n",
+ "Ranieri L.: MV 5.78 ± 0.85; FV 5.77 + 1.01\n",
+ "Gabbia: MV 5.65 ± 0.90; FV 5.57 + 0.87\n",
+ "Kumbulla: MV 5.87 ± 0.65; FV 5.90 + 0.56\n",
+ "Adopo: MV 5.75 ± 0.66; FV 5.66 + 0.67\n",
+ "Pirola: MV 5.63 ± 0.90; FV 5.54 + 0.92\n",
+ "Lovato: MV 5.73 ± 1.03; FV 5.63 + 1.05\n",
+ "Tuia: MV 5.80 ± 0.90; FV 5.82 + 1.11\n",
+ "Ferrer: MV 5.90 ± 0.89; FV 5.90 + 0.98\n",
+ "Antov: MV 5.69 ± 1.06; FV 5.66 + 1.13\n",
+ "Vasquez: MV 5.62 ± 1.00; FV 5.60 + 1.12\n",
+ "Ruan: MV 5.70 ± 1.07; FV 5.55 + 1.00\n",
+ "Ostigard: MV 6.13 ± 0.64; FV 6.09 + 0.68\n",
+ "Coppola D.: MV 5.80 ± 0.74; FV 5.71 + 0.73\n",
+ "Cacace: MV 5.94 ± 0.72; FV 5.90 + 0.63\n",
+ "Gatti: MV 5.95 ± 0.77; FV 5.93 + 0.72\n",
+ "Gila: MV 5.90 ± 0.88; FV 5.89 + 0.95\n",
+ "Bayeye: MV 5.91 ± 0.99; FV 6.03 + 1.38\n",
+ "Sambia: MV 5.83 ± 0.80; FV 5.83 + 0.79\n",
+ "Moutinho J.: MV 5.79 ± 0.81; FV 5.72 + 0.84\n",
+ "Conti: MV 5.79 ± 0.90; FV 5.84 + 1.12\n",
+ "Marrone: MV 5.55 ± 0.92; FV 5.47 + 0.95\n",
+ "Tonelli: MV 5.88 ± 0.76; FV 5.83 + 0.67\n",
+ "Murillo: MV 5.54 ± 0.73; FV 5.44 + 0.72\n",
+ "Radu: MV 6.05 ± 0.74; FV 5.91 + 0.63\n",
+ "Paletta: MV 5.84 ± 0.94; FV 5.88 + 1.14\n",
+ "Florenzi: MV 6.15 ± 0.83; FV 6.39 + 1.19\n",
+ "Sala: MV 5.93 ± 0.73; FV 5.95 + 0.78\n",
+ "Fares: MV 5.79 ± 0.80; FV 5.78 + 0.93\n",
+ "Romagna: MV 5.82 ± 0.98; FV 5.84 + 1.22\n",
+ "Cassandro: MV 5.92 ± 0.87; FV 5.99 + 1.06\n",
+ "Muldur: MV 5.69 ± 0.86; FV 5.65 + 0.94\n",
+ "Amey: MV 6.04 ± 0.87; FV 6.12 + 1.04\n",
+ "Zanotti: MV 6.10 ± 0.81; FV 6.27 + 1.07\n",
+ "Ebosele: MV 6.03 ± 0.66; FV 5.99 + 0.59\n",
+ "Buta: MV 5.95 ± 0.86; FV 5.97 + 0.90\n",
+ "Abankwah: MV 5.95 ± 0.86; FV 5.97 + 0.90\n",
+ "Guessand A.: MV 5.95 ± 0.86; FV 5.97 + 0.90\n",
+ "Cabal: MV 6.00 ± 0.89; FV 6.09 + 1.07\n",
+ "Sosa: MV 5.76 ± 0.96; FV 5.75 + 1.10\n",
+ "Guarino: MV 6.06 ± 0.81; FV 6.19 + 1.00\n",
+ "Carboni F.: MV 5.90 ± 0.92; FV 5.97 + 1.06\n",
+ "Zaccagni: MV 6.40 ± 1.33; FV 7.40 + 3.24\n",
+ "Kvaratskhelia: MV 6.64 ± 1.45; FV 7.60 + 3.27\n",
+ "Milinkovic-Savic: MV 6.28 ± 1.28; FV 7.06 + 2.80\n",
+ "Barella: MV 6.38 ± 1.15; FV 7.20 + 2.56\n",
+ "Zielinski: MV 6.41 ± 1.10; FV 7.17 + 2.38\n",
+ "Luis Alberto: MV 6.31 ± 1.08; FV 7.02 + 2.29\n",
+ "Strefezza: MV 6.29 ± 0.94; FV 7.09 + 2.28\n",
+ "Felipe Anderson: MV 6.19 ± 1.25; FV 7.02 + 2.81\n",
+ "Koopmeiners: MV 6.12 ± 1.16; FV 6.75 + 2.37\n",
+ "Calhanoglu: MV 6.33 ± 0.99; FV 7.01 + 2.14\n",
+ "Frattesi: MV 6.10 ± 1.20; FV 6.77 + 2.47\n",
+ "Diaz B.: MV 6.14 ± 1.19; FV 6.89 + 2.56\n",
+ "Vlasic: MV 6.13 ± 1.16; FV 6.76 + 2.27\n",
+ "Zambo Anguissa: MV 6.40 ± 1.11; FV 7.13 + 2.35\n",
+ "Elmas: MV 6.36 ± 1.08; FV 7.09 + 2.28\n",
+ "Miranchuk: MV 6.21 ± 1.21; FV 6.93 + 2.46\n",
+ "Samardzic: MV 6.22 ± 1.05; FV 6.86 + 2.14\n",
+ "Pereyra: MV 6.25 ± 1.09; FV 6.88 + 2.22\n",
+ "Politano: MV 6.29 ± 0.89; FV 6.98 + 2.05\n",
+ "Rabiot: MV 6.22 ± 1.12; FV 6.85 + 2.23\n",
+ "Ciurria: MV 6.04 ± 1.16; FV 6.67 + 2.38\n",
+ "Lazovic: MV 6.27 ± 1.15; FV 6.95 + 2.31\n",
+ "Lobotka: MV 6.18 ± 0.69; FV 6.65 + 1.51\n",
+ "Radonjic: MV 6.13 ± 1.00; FV 6.64 + 1.82\n",
+ "Ferguson: MV 6.23 ± 0.94; FV 6.81 + 1.94\n",
+ "Bonaventura: MV 6.09 ± 0.96; FV 6.40 + 1.49\n",
+ "Pessina: MV 6.11 ± 1.09; FV 6.64 + 2.05\n",
+ "Tonali: MV 6.10 ± 1.09; FV 6.54 + 1.91\n",
+ "Kostic: MV 6.20 ± 0.99; FV 6.77 + 1.94\n",
+ "Baldanzi: MV 6.40 ± 1.07; FV 7.27 + 2.53\n",
+ "Lovric: MV 6.13 ± 0.76; FV 6.48 + 1.30\n",
+ "Pellegrini Lo.: MV 6.06 ± 1.17; FV 6.66 + 2.28\n",
+ "El Shaarawy: MV 6.19 ± 0.97; FV 6.84 + 2.00\n",
+ "Orsolini: MV 6.29 ± 1.36; FV 7.26 + 3.30\n",
+ "Ikone': MV 6.04 ± 1.10; FV 6.46 + 1.92\n",
+ "Candreva: MV 6.05 ± 1.14; FV 6.45 + 1.98\n",
+ "Bennacer: MV 6.14 ± 0.83; FV 6.43 + 1.25\n",
+ "Pasalic: MV 5.91 ± 1.01; FV 6.31 + 1.73\n",
+ "Mkhitaryan: MV 6.16 ± 0.90; FV 6.68 + 1.69\n",
+ "Colpani: MV 5.96 ± 0.87; FV 6.43 + 1.75\n",
+ "Pogba: MV 6.04 ± 0.83; FV 6.19 + 1.04\n",
+ "Chiesa: MV 6.19 ± 0.98; FV 6.69 + 1.81\n",
+ "Bandinelli: MV 6.06 ± 0.80; FV 6.39 + 1.28\n",
+ "Matic: MV 6.12 ± 0.78; FV 6.38 + 1.15\n",
+ "Fagioli: MV 6.19 ± 0.96; FV 6.75 + 1.86\n",
+ "Messias: MV 5.95 ± 1.07; FV 6.32 + 1.84\n",
+ "Arslan: MV 6.01 ± 0.70; FV 6.10 + 0.79\n",
+ "Ricci S.: MV 6.17 ± 0.91; FV 6.52 + 1.49\n",
+ "Ranocchia F.: MV 6.01 ± 0.92; FV 6.43 + 1.65\n",
+ "Verdi: MV 6.17 ± 0.84; FV 6.66 + 1.63\n",
+ "Sensi: MV 6.00 ± 1.10; FV 6.41 + 1.95\n",
+ "Barak: MV 5.83 ± 0.84; FV 5.97 + 1.20\n",
+ "Soriano: MV 6.04 ± 0.74; FV 6.20 + 1.02\n",
+ "Dominguez: MV 6.23 ± 1.09; FV 6.81 + 2.17\n",
+ "Vilhena: MV 5.86 ± 1.00; FV 6.11 + 1.54\n",
+ "Brozovic: MV 6.22 ± 0.82; FV 6.67 + 1.59\n",
+ "Cristante: MV 5.95 ± 0.85; FV 6.09 + 1.06\n",
+ "Thorstvedt: MV 5.87 ± 0.89; FV 6.06 + 1.30\n",
+ "De Ketelaere: MV 5.82 ± 0.79; FV 5.88 + 0.90\n",
+ "Saponara: MV 6.09 ± 1.12; FV 6.49 + 1.89\n",
+ "Vecino: MV 5.90 ± 0.89; FV 6.01 + 1.22\n",
+ "Locatelli: MV 6.09 ± 0.70; FV 6.20 + 0.87\n",
+ "Zaniolo: MV 5.91 ± 1.00; FV 6.18 + 1.59\n",
+ "Duda: MV 6.08 ± 0.87; FV 6.26 + 1.17\n",
+ "Maldini: MV 5.96 ± 0.88; FV 6.24 + 1.39\n",
+ "Marin: MV 6.08 ± 0.99; FV 6.44 + 1.63\n",
+ "Zalewski: MV 6.01 ± 0.68; FV 6.11 + 0.74\n",
+ "Bajrami: MV 6.11 ± 1.12; FV 6.70 + 2.19\n",
+ "Coulibaly L.: MV 5.94 ± 1.15; FV 6.22 + 1.79\n",
+ "Gonzalez J.: MV 6.04 ± 0.84; FV 6.27 + 1.26\n",
+ "De Roon: MV 5.91 ± 0.75; FV 5.93 + 0.77\n",
+ "Mandragora: MV 5.91 ± 0.88; FV 5.98 + 1.16\n",
+ "Wijnaldum: MV 5.93 ± 0.91; FV 6.01 + 1.05\n",
+ "Bourabia: MV 5.96 ± 0.78; FV 5.98 + 0.84\n",
+ "Sottil: MV 6.07 ± 1.11; FV 6.45 + 1.84\n",
+ "Aebischer: MV 6.02 ± 0.85; FV 6.30 + 1.39\n",
+ "Ederson D.s.: MV 5.82 ± 0.79; FV 5.90 + 0.99\n",
+ "Miretti: MV 6.03 ± 0.72; FV 6.18 + 0.90\n",
+ "Blin: MV 6.01 ± 0.64; FV 5.99 + 0.59\n",
+ "Hjulmand: MV 5.98 ± 1.07; FV 6.04 + 1.21\n",
+ "Cataldi: MV 5.99 ± 0.79; FV 6.00 + 0.83\n",
+ "Djuricic: MV 5.72 ± 0.90; FV 5.81 + 1.17\n",
+ "Linetty: MV 5.96 ± 0.88; FV 6.12 + 1.28\n",
+ "Haas: MV 6.02 ± 0.75; FV 6.27 + 1.11\n",
+ "Walace: MV 5.92 ± 0.74; FV 5.88 + 0.68\n",
+ "Agudelo: MV 5.89 ± 0.70; FV 5.91 + 0.72\n",
+ "Pobega: MV 6.00 ± 0.88; FV 6.28 + 1.30\n",
+ "Camara Ma.: MV 6.12 ± 0.70; FV 6.17 + 0.81\n",
+ "Paredes: MV 5.87 ± 0.68; FV 5.86 + 0.57\n",
+ "Ndombele': MV 6.05 ± 0.65; FV 5.99 + 0.58\n",
+ "Nicolussi Caviglia: MV 5.87 ± 1.19; FV 6.24 + 1.99\n",
+ "Rovella: MV 5.91 ± 0.95; FV 5.92 + 0.95\n",
+ "Amrabat: MV 5.87 ± 0.89; FV 5.84 + 0.96\n",
+ "Tameze: MV 5.96 ± 0.79; FV 6.03 + 0.94\n",
+ "Gyasi: MV 5.89 ± 1.01; FV 6.04 + 1.49\n",
+ "Ilic: MV 6.00 ± 0.99; FV 6.23 + 1.48\n",
+ "Matheus Henrique: MV 5.89 ± 0.84; FV 6.03 + 1.16\n",
+ "Harroui: MV 5.84 ± 0.80; FV 6.00 + 1.16\n",
+ "Volpato: MV 6.02 ± 1.11; FV 6.60 + 2.21\n",
+ "Pickel: MV 5.67 ± 0.80; FV 5.70 + 0.89\n",
+ "Moro N.: MV 6.05 ± 0.66; FV 6.12 + 0.78\n",
+ "Duncan: MV 5.88 ± 0.76; FV 5.92 + 0.90\n",
+ "Machin: MV 5.86 ± 0.94; FV 5.94 + 1.23\n",
+ "Cuadrado: MV 6.04 ± 0.88; FV 6.19 + 1.10\n",
+ "Ekdal: MV 5.82 ± 0.71; FV 5.77 + 0.71\n",
+ "Meite': MV 5.73 ± 1.03; FV 5.76 + 1.28\n",
+ "Schouten: MV 6.01 ± 0.78; FV 6.02 + 0.84\n",
+ "Obiang: MV 5.91 ± 0.65; FV 5.93 + 0.64\n",
+ "Kovalenko: MV 5.97 ± 0.77; FV 6.07 + 0.95\n",
+ "Crnigoj: MV 5.93 ± 0.89; FV 6.10 + 1.23\n",
+ "Basic: MV 5.95 ± 0.67; FV 6.02 + 0.73\n",
+ "Asllani: MV 6.07 ± 0.63; FV 6.08 + 0.65\n",
+ "Sabiri: MV 5.76 ± 0.84; FV 5.80 + 1.04\n",
+ "Terracciano F.: MV 6.09 ± 0.63; FV 6.13 + 0.72\n",
+ "Castagnetti: MV 5.72 ± 0.70; FV 5.70 + 0.67\n",
+ "Oudin: MV 5.82 ± 0.65; FV 5.86 + 0.60\n",
+ "Grassi: MV 6.04 ± 0.67; FV 6.00 + 0.62\n",
+ "Krunic: MV 5.89 ± 0.76; FV 5.95 + 0.78\n",
+ "Rincon: MV 5.68 ± 0.79; FV 5.60 + 0.85\n",
+ "Miguel Veloso: MV 6.01 ± 0.72; FV 6.05 + 0.79\n",
+ "Leris: MV 5.70 ± 0.76; FV 5.66 + 0.87\n",
+ "Esposito Sa.: MV 5.92 ± 0.95; FV 5.97 + 1.10\n",
+ "Henderson L.: MV 6.01 ± 0.71; FV 6.16 + 0.90\n",
+ "Lopez M.: MV 5.85 ± 0.90; FV 5.84 + 1.09\n",
+ "Cuisance: MV 5.70 ± 0.72; FV 5.64 + 0.74\n",
+ "Saelemaekers: MV 5.82 ± 0.78; FV 5.89 + 0.82\n",
+ "Maggiore: MV 5.93 ± 0.81; FV 6.08 + 1.06\n",
+ "Akpa Akpro: MV 6.05 ± 0.82; FV 6.20 + 1.05\n",
+ "Maleh: MV 5.95 ± 0.74; FV 6.10 + 0.99\n",
+ "Romero L.: MV 6.14 ± 1.06; FV 6.71 + 2.08\n",
+ "Ceide: MV 5.80 ± 0.71; FV 5.83 + 0.73\n",
+ "D'alessandro: MV 6.02 ± 0.67; FV 6.10 + 0.74\n",
+ "Benassi: MV 5.71 ± 0.73; FV 5.75 + 0.81\n",
+ "Gagliardini: MV 5.97 ± 0.63; FV 6.02 + 0.62\n",
+ "Vieira: MV 5.87 ± 0.73; FV 5.91 + 0.98\n",
+ "Bianco: MV 6.00 ± 0.85; FV 6.07 + 1.01\n",
+ "Vranckx: MV 6.07 ± 0.74; FV 6.21 + 0.88\n",
+ "Galdames: MV 5.76 ± 1.04; FV 5.84 + 1.35\n",
+ "Marcos Antonio: MV 5.94 ± 0.61; FV 5.92 + 0.51\n",
+ "Fazzini: MV 5.87 ± 0.63; FV 5.86 + 0.54\n",
+ "Sulemana I.: MV 5.93 ± 0.64; FV 5.95 + 0.62\n",
+ "Tahirovic: MV 5.96 ± 0.60; FV 5.97 + 0.50\n",
+ "Abildgaard: MV 5.97 ± 0.85; FV 6.05 + 1.06\n",
+ "Barberis: MV 5.87 ± 0.98; FV 5.92 + 1.14\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Cuisance: MV 5.71 ± 0.71; FV 5.69 + 0.79\n",
- "Saelemaekers: MV 5.89 ± 0.65; FV 5.89 + 0.79\n",
- "Maggiore: MV 5.91 ± 0.57; FV 5.90 + 0.64\n",
- "Akpa Akpro: MV 5.80 ± 0.85; FV 5.84 + 1.02\n",
- "Maleh: MV 5.98 ± 0.66; FV 6.06 + 0.81\n",
- "Romero L.: MV 6.17 ± 1.15; FV 6.95 + 2.78\n",
- "Ceide: MV 5.93 ± 0.63; FV 5.94 + 0.66\n",
- "D'alessandro: MV 6.05 ± 0.52; FV 6.17 + 0.73\n",
- "Benassi: MV 5.86 ± 0.59; FV 5.87 + 0.70\n",
- "Gagliardini: MV 5.92 ± 0.48; FV 5.86 + 0.51\n",
- "Vieira: MV 5.64 ± 0.76; FV 5.67 + 0.92\n",
- "Bianco: MV 5.96 ± 0.70; FV 5.99 + 0.73\n",
- "Vranckx: MV 5.96 ± 0.74; FV 5.98 + 0.81\n",
- "Galdames: MV 5.96 ± 0.76; FV 6.02 + 0.83\n",
- "Marcos Antonio: MV 5.98 ± 0.45; FV 5.94 + 0.46\n",
- "Fazzini: MV 5.78 ± 0.57; FV 5.67 + 0.54\n",
- "Sulemana I.: MV 5.81 ± 0.57; FV 5.81 + 0.61\n",
- "Tahirovic: MV 5.99 ± 0.49; FV 5.99 + 0.52\n",
- "Abildgaard: MV 5.72 ± 0.83; FV 5.78 + 0.95\n",
- "Barberis: MV 5.93 ± 0.60; FV 5.92 + 0.57\n",
- "Kastanos: MV 5.87 ± 0.51; FV 5.79 + 0.51\n",
- "Vignato: MV 5.86 ± 0.57; FV 5.83 + 0.57\n",
- "Valoti: MV 5.96 ± 0.55; FV 5.96 + 0.53\n",
- "Winks: MV 5.81 ± 1.03; FV 5.94 + 1.29\n",
- "Askildsen: MV 5.71 ± 0.55; FV 5.71 + 0.56\n",
- "Bove: MV 6.02 ± 0.64; FV 6.03 + 0.64\n",
- "Bohinen: MV 5.80 ± 0.50; FV 5.71 + 0.48\n",
- "D'andrea: MV 5.99 ± 0.68; FV 6.13 + 0.94\n",
- "Iling-Junior: MV 6.00 ± 0.65; FV 6.01 + 0.68\n",
- "Cipot: MV 5.65 ± 0.91; FV 5.74 + 1.07\n",
- "Bakayoko: MV 5.66 ± 0.79; FV 5.56 + 0.76\n",
- "Gaetano: MV 6.06 ± 0.68; FV 6.15 + 0.79\n",
- "Zurkowski: MV 5.93 ± 0.85; FV 6.10 + 1.17\n",
- "Castrovilli: MV 6.03 ± 0.94; FV 6.45 + 1.65\n",
- "Demme: MV 6.15 ± 0.88; FV 6.71 + 1.87\n",
- "Darboe: MV 5.96 ± 0.68; FV 5.95 + 0.62\n",
- "Urbanski: MV 5.96 ± 0.79; FV 6.01 + 0.88\n",
- "Bertini: MV 6.04 ± 0.76; FV 6.12 + 0.88\n",
- "Yepes: MV 5.66 ± 0.90; FV 5.62 + 0.88\n",
- "Pyyhtia: MV 5.94 ± 0.97; FV 6.06 + 1.21\n",
- "Trimboli: MV 5.83 ± 0.96; FV 5.96 + 1.23\n",
- "Pafundi: MV 5.84 ± 0.90; FV 5.88 + 0.99\n",
- "Helgason: MV 5.76 ± 0.60; FV 5.75 + 0.57\n",
- "Adli: MV 5.76 ± 0.74; FV 5.76 + 0.88\n",
- "Vignato S.: MV 6.04 ± 0.58; FV 6.10 + 0.67\n",
- "Hrustic: MV 5.68 ± 0.60; FV 5.59 + 0.59\n",
- "Samek: MV 5.95 ± 0.74; FV 6.02 + 0.77\n",
- "Zerbin: MV 6.07 ± 0.69; FV 6.21 + 0.86\n",
- "Ilkhan: MV 5.78 ± 1.00; FV 5.86 + 1.17\n",
- "Degli Innocenti: MV 5.78 ± 0.92; FV 5.84 + 1.13\n",
- "Acella: MV 5.96 ± 0.76; FV 6.02 + 0.83\n",
- "Carboni V.: MV 5.98 ± 0.82; FV 6.13 + 1.13\n",
- "Paoletti: MV 5.99 ± 0.87; FV 6.05 + 0.92\n",
- "Malagrida: MV 5.88 ± 0.92; FV 5.98 + 1.14\n",
- "Faticanti: MV 5.95 ± 0.68; FV 5.96 + 0.68\n",
- "Osimhen: MV 6.55 ± 1.42; FV 8.32 + 5.48\n",
- "Martinez L.: MV 6.46 ± 1.41; FV 7.85 + 4.51\n",
- "Dybala: MV 6.54 ± 1.37; FV 8.00 + 4.54\n",
- "Rafael Leao: MV 6.37 ± 1.44; FV 7.70 + 4.50\n",
- "Lookman: MV 6.49 ± 1.41; FV 8.06 + 4.94\n",
- "Immobile: MV 6.50 ± 1.42; FV 8.00 + 4.85\n",
- "Vlahovic: MV 6.37 ± 1.48; FV 7.78 + 4.61\n",
- "Arnautovic: MV 6.33 ± 1.35; FV 7.59 + 4.02\n",
- "Dia: MV 6.23 ± 1.42; FV 7.56 + 4.18\n",
- "Dzeko: MV 6.34 ± 1.38; FV 7.55 + 3.97\n",
- "Milik: MV 6.41 ± 1.35; FV 7.71 + 4.21\n",
- "Nzola: MV 6.12 ± 1.31; FV 7.15 + 3.37\n",
- "Beto: MV 6.10 ± 1.20; FV 7.01 + 2.97\n",
- "Giroud: MV 6.17 ± 1.36; FV 7.13 + 3.42\n",
- "Abraham: MV 6.37 ± 1.37; FV 7.67 + 4.17\n",
- "Deulofeu: MV 6.34 ± 1.25; FV 7.42 + 3.56\n",
- "Lauriente': MV 6.29 ± 1.36; FV 7.40 + 3.81\n",
- "Simeone: MV 6.45 ± 1.39; FV 7.82 + 4.38\n",
- "Lozano: MV 6.37 ± 1.21; FV 7.46 + 3.41\n",
- "Correa: MV 6.17 ± 0.94; FV 6.76 + 2.16\n",
- "Berardi: MV 6.40 ± 1.43; FV 7.73 + 4.50\n",
- "Pedro: MV 6.29 ± 1.16; FV 7.22 + 3.10\n",
- "Lukaku: MV 6.03 ± 1.14; FV 6.63 + 2.29\n",
- "Sanabria: MV 6.12 ± 1.11; FV 6.86 + 2.57\n",
- "Thauvin: MV 6.40 ± 1.24; FV 7.60 + 3.79\n",
- "Cabral: MV 6.05 ± 1.11; FV 6.79 + 2.50\n",
- "Hojlund: MV 6.21 ± 1.32; FV 7.40 + 3.71\n",
- "Caprari: MV 6.32 ± 1.12; FV 7.31 + 3.08\n",
- "Di Maria: MV 6.43 ± 1.38; FV 7.73 + 4.31\n",
- "Piatek: MV 5.98 ± 1.24; FV 6.89 + 2.88\n",
- "Rebic: MV 6.09 ± 1.25; FV 6.91 + 2.88\n",
- "Bonazzoli: MV 6.00 ± 0.98; FV 6.44 + 1.80\n",
- "Zapata D.: MV 6.04 ± 1.15; FV 6.74 + 2.49\n",
- "Kouame': MV 6.06 ± 1.10; FV 6.67 + 2.25\n",
- "Gonzalez N.: MV 6.33 ± 1.26; FV 7.40 + 3.60\n",
- "Brekalo: MV 6.11 ± 1.11; FV 6.89 + 2.62\n",
- "Mota: MV 6.37 ± 1.29; FV 7.63 + 3.87\n",
- "Kean: MV 6.18 ± 1.32; FV 7.13 + 3.32\n",
- "Okereke: MV 6.07 ± 1.11; FV 6.75 + 2.44\n",
- "Ceesay: MV 6.10 ± 1.10; FV 6.83 + 2.46\n",
- "Colombo: MV 6.20 ± 1.30; FV 7.34 + 3.62\n",
- "Dessers: MV 6.08 ± 1.02; FV 6.63 + 2.08\n",
- "Muriel: MV 6.26 ± 1.35; FV 7.38 + 3.75\n",
- "Pinamonti: MV 5.80 ± 1.03; FV 6.19 + 1.70\n",
- "Di Francesco F.: MV 6.12 ± 1.10; FV 6.84 + 2.49\n",
- "Jovic: MV 5.84 ± 1.10; FV 6.39 + 2.05\n",
- "Origi: MV 5.91 ± 1.05; FV 6.31 + 1.74\n",
- "Caputo: MV 6.01 ± 1.13; FV 6.78 + 2.59\n",
- "Boga: MV 6.49 ± 1.27; FV 7.74 + 3.94\n",
- "Cambiaghi: MV 6.00 ± 0.89; FV 6.46 + 1.77\n",
- "Alvarez A.: MV 5.98 ± 1.03; FV 6.42 + 1.88\n",
- "Banda: MV 6.05 ± 0.73; FV 6.22 + 0.98\n",
- "Ciofani D.: MV 6.11 ± 1.06; FV 6.88 + 2.56\n",
- "Petagna: MV 6.10 ± 0.91; FV 6.45 + 1.56\n",
- "Barrow: MV 5.97 ± 1.13; FV 6.74 + 2.58\n",
- "Djuric: MV 5.92 ± 0.69; FV 6.04 + 1.02\n",
- "Henry: MV 5.74 ± 1.00; FV 6.11 + 1.61\n",
- "Success: MV 5.92 ± 0.66; FV 6.00 + 0.93\n",
- "Gabbiadini: MV 5.78 ± 1.04; FV 6.27 + 1.85\n",
- "Zirkzee: MV 6.00 ± 0.98; FV 6.54 + 2.02\n",
- "Lammers: MV 5.75 ± 0.90; FV 6.05 + 1.36\n",
- "Satriano: MV 5.78 ± 0.88; FV 6.05 + 1.34\n",
- "Kallon: MV 5.81 ± 0.91; FV 6.13 + 1.44\n",
- "Nestorovski: MV 6.07 ± 0.84; FV 6.50 + 1.73\n",
- "Raspadori: MV 6.17 ± 1.02; FV 6.92 + 2.52\n",
- "Botheim: MV 5.83 ± 0.96; FV 6.23 + 1.62\n",
- "Gytkjaer: MV 6.03 ± 0.82; FV 6.33 + 1.50\n",
- "Solbakken: MV 6.04 ± 0.74; FV 6.16 + 0.86\n",
- "Lasagna: MV 5.72 ± 0.86; FV 5.91 + 1.18\n",
- "Belotti: MV 5.72 ± 0.57; FV 5.78 + 0.62\n",
- "Pellegri: MV 5.85 ± 0.83; FV 6.18 + 1.44\n",
- "Buonaiuto: MV 6.00 ± 0.72; FV 6.13 + 0.95\n",
- "Verde: MV 5.90 ± 0.93; FV 6.29 + 1.62\n",
- "Destro: MV 5.86 ± 1.16; FV 6.68 + 2.60\n",
- "Seck: MV 6.04 ± 0.60; FV 6.12 + 0.76\n",
- "Sansone: MV 5.90 ± 0.92; FV 6.27 + 1.58\n",
- "Quagliarella: MV 5.80 ± 0.80; FV 6.03 + 1.25\n",
- "Defrel: MV 5.75 ± 0.92; FV 6.06 + 1.44\n",
- "Pjaca: MV 5.77 ± 0.84; FV 6.00 + 1.22\n",
- "Gaich: MV 5.70 ± 1.02; FV 6.06 + 1.56\n",
- "Soule': MV 6.12 ± 0.64; FV 6.28 + 0.91\n",
- "Tsadjout: MV 5.94 ± 0.89; FV 6.23 + 1.45\n",
- "Piccoli: MV 5.77 ± 0.56; FV 5.81 + 0.71\n",
- "Shomurodov: MV 5.90 ± 0.88; FV 6.24 + 1.52\n",
- "Afena-Gyan: MV 5.69 ± 0.63; FV 5.75 + 0.73\n",
- "Ngonge: MV 5.71 ± 0.78; FV 5.76 + 0.94\n",
- "Karamoh: MV 5.90 ± 0.63; FV 5.93 + 0.76\n",
- "Ibrahimovic: MV 6.29 ± 1.29; FV 7.43 + 3.64\n",
- "Pussetto: MV 5.84 ± 1.02; FV 6.23 + 1.67\n",
- "Cancellieri: MV 5.88 ± 0.49; FV 5.85 + 0.53\n",
- "Valencia D.: MV 5.76 ± 0.54; FV 5.81 + 0.74\n",
- "Oddei: MV 5.89 ± 0.77; FV 5.93 + 0.97\n",
- "Braaf: MV 5.73 ± 0.87; FV 5.89 + 1.22\n",
- "Raimondo: MV 5.94 ± 0.82; FV 6.04 + 1.04\n",
- "Kaio Jorge: MV 5.89 ± 0.56; FV 5.90 + 0.63\n",
- "De Luca: MV 5.79 ± 0.98; FV 5.98 + 1.39\n",
- "Voelkerling Persson: MV 6.02 ± 0.68; FV 6.11 + 0.74\n",
- "Montevago: MV 5.75 ± 0.86; FV 5.85 + 1.01\n",
- "Krollis: MV 5.66 ± 0.89; FV 5.75 + 1.10\n",
- "Vivaldo: MV 5.81 ± 0.89; FV 5.88 + 1.10\n"
+ "Kastanos: MV 5.82 ± 0.69; FV 5.83 + 0.69\n",
+ "Vignato: MV 6.05 ± 0.68; FV 6.09 + 0.71\n",
+ "Valoti: MV 5.72 ± 0.67; FV 5.66 + 0.65\n",
+ "Winks: MV 5.79 ± 1.00; FV 5.78 + 1.19\n",
+ "Askildsen: MV 5.72 ± 0.64; FV 5.69 + 0.58\n",
+ "Bove: MV 5.73 ± 0.74; FV 5.74 + 0.82\n",
+ "Bohinen: MV 5.75 ± 0.62; FV 5.73 + 0.52\n",
+ "D'andrea: MV 5.89 ± 0.78; FV 6.05 + 1.09\n",
+ "Iling-Junior: MV 6.09 ± 0.69; FV 6.25 + 0.94\n",
+ "Cipot: MV 5.97 ± 0.96; FV 6.08 + 1.23\n",
+ "Bakayoko: MV 5.82 ± 0.76; FV 5.79 + 0.68\n",
+ "Gaetano: MV 6.05 ± 0.74; FV 6.09 + 0.81\n",
+ "Zurkowski: MV 6.18 ± 1.08; FV 6.69 + 2.04\n",
+ "Castrovilli: MV 6.01 ± 0.90; FV 6.23 + 1.34\n",
+ "Demme: MV 6.07 ± 0.65; FV 6.24 + 0.90\n",
+ "Darboe: MV 5.95 ± 0.90; FV 5.99 + 0.94\n",
+ "Urbanski: MV 6.00 ± 0.88; FV 6.09 + 1.10\n",
+ "Bertini: MV 5.93 ± 0.93; FV 6.01 + 1.20\n",
+ "Yepes: MV 5.71 ± 1.15; FV 5.69 + 1.29\n",
+ "Pyyhtia: MV 6.02 ± 0.76; FV 6.06 + 0.87\n",
+ "Trimboli: MV 5.78 ± 0.94; FV 5.77 + 1.15\n",
+ "Pafundi: MV 5.92 ± 0.85; FV 5.93 + 0.88\n",
+ "Helgason: MV 5.80 ± 0.62; FV 5.80 + 0.54\n",
+ "Adli: MV 5.87 ± 0.77; FV 5.93 + 0.83\n",
+ "Vignato S.: MV 5.95 ± 0.91; FV 6.06 + 1.08\n",
+ "Hrustic: MV 5.80 ± 0.74; FV 5.78 + 0.72\n",
+ "Samek: MV 5.94 ± 0.86; FV 6.01 + 1.06\n",
+ "Zerbin: MV 6.10 ± 0.74; FV 6.18 + 0.90\n",
+ "Ilkhan: MV 5.85 ± 1.06; FV 5.92 + 1.34\n",
+ "Degli Innocenti: MV 6.04 ± 0.81; FV 6.17 + 0.99\n",
+ "Acella: MV 5.76 ± 1.04; FV 5.84 + 1.35\n",
+ "Carboni V.: MV 6.01 ± 0.84; FV 6.13 + 1.00\n",
+ "Paoletti: MV 5.97 ± 0.87; FV 6.05 + 1.08\n",
+ "Malagrida: MV 5.80 ± 0.95; FV 5.80 + 1.17\n",
+ "Faticanti: MV 5.95 ± 0.89; FV 6.06 + 1.04\n",
+ "Osimhen: MV 6.59 ± 1.51; FV 7.92 + 4.46\n",
+ "Martinez L.: MV 6.47 ± 1.44; FV 7.71 + 3.99\n",
+ "Dybala: MV 6.43 ± 1.34; FV 7.49 + 3.41\n",
+ "Rafael Leao: MV 6.29 ± 1.39; FV 7.41 + 3.60\n",
+ "Lookman: MV 6.25 ± 1.40; FV 7.54 + 3.85\n",
+ "Immobile: MV 6.29 ± 1.43; FV 7.63 + 4.01\n",
+ "Vlahovic: MV 6.39 ± 1.45; FV 7.75 + 4.21\n",
+ "Arnautovic: MV 6.28 ± 1.35; FV 7.45 + 3.62\n",
+ "Dia: MV 6.18 ± 1.41; FV 7.42 + 3.75\n",
+ "Dzeko: MV 6.30 ± 1.36; FV 7.47 + 3.65\n",
+ "Milik: MV 6.36 ± 1.24; FV 7.27 + 2.98\n",
+ "Nzola: MV 6.14 ± 1.34; FV 7.26 + 3.45\n",
+ "Beto: MV 6.15 ± 1.23; FV 7.09 + 2.99\n",
+ "Giroud: MV 6.13 ± 1.26; FV 6.97 + 2.88\n",
+ "Abraham: MV 6.12 ± 1.30; FV 7.28 + 3.46\n",
+ "Deulofeu: MV 6.38 ± 1.28; FV 7.28 + 2.98\n",
+ "Lauriente': MV 6.20 ± 1.35; FV 7.06 + 3.08\n",
+ "Simeone: MV 6.38 ± 1.43; FV 7.68 + 4.03\n",
+ "Lozano: MV 6.35 ± 1.22; FV 7.12 + 2.50\n",
+ "Correa: MV 6.26 ± 1.04; FV 7.08 + 2.46\n",
+ "Berardi: MV 6.24 ± 1.42; FV 7.46 + 3.80\n",
+ "Pedro: MV 6.15 ± 1.16; FV 6.78 + 2.36\n",
+ "Lukaku: MV 6.08 ± 1.19; FV 6.87 + 2.65\n",
+ "Sanabria: MV 6.00 ± 1.16; FV 6.52 + 2.14\n",
+ "Thauvin: MV 6.44 ± 1.30; FV 7.38 + 3.08\n",
+ "Cabral: MV 5.96 ± 1.10; FV 6.42 + 1.98\n",
+ "Hojlund: MV 5.98 ± 1.11; FV 6.52 + 2.13\n",
+ "Caprari: MV 5.95 ± 1.03; FV 6.48 + 2.03\n",
+ "Di Maria: MV 6.33 ± 1.32; FV 7.28 + 3.16\n",
+ "Piatek: MV 5.92 ± 1.16; FV 6.46 + 2.17\n",
+ "Rebic: MV 6.18 ± 1.33; FV 6.97 + 2.88\n",
+ "Bonazzoli: MV 6.05 ± 1.09; FV 6.56 + 2.03\n",
+ "Zapata D.: MV 5.82 ± 0.93; FV 6.17 + 1.53\n",
+ "Kouame': MV 5.97 ± 1.09; FV 6.37 + 1.88\n",
+ "Gonzalez N.: MV 6.12 ± 1.18; FV 6.71 + 2.27\n",
+ "Brekalo: MV 5.99 ± 1.06; FV 6.37 + 1.81\n",
+ "Mota: MV 6.03 ± 1.21; FV 6.83 + 2.71\n",
+ "Kean: MV 6.11 ± 1.22; FV 6.86 + 2.68\n",
+ "Okereke: MV 5.76 ± 1.10; FV 6.24 + 1.89\n",
+ "Ceesay: MV 5.95 ± 0.89; FV 6.32 + 1.48\n",
+ "Colombo: MV 5.99 ± 1.10; FV 6.48 + 2.01\n",
+ "Dessers: MV 5.79 ± 1.04; FV 6.25 + 1.81\n",
+ "Muriel: MV 6.01 ± 1.19; FV 6.41 + 2.09\n",
+ "Pinamonti: MV 5.88 ± 1.07; FV 6.35 + 1.94\n",
+ "Di Francesco F.: MV 6.04 ± 0.95; FV 6.39 + 1.56\n",
+ "Jovic: MV 5.90 ± 1.07; FV 6.31 + 1.88\n",
+ "Origi: MV 5.92 ± 1.07; FV 6.26 + 1.78\n",
+ "Caputo: MV 6.18 ± 1.27; FV 7.17 + 3.17\n",
+ "Boga: MV 6.28 ± 1.22; FV 7.01 + 2.50\n",
+ "Cambiaghi: MV 6.24 ± 0.95; FV 6.81 + 1.87\n",
+ "Alvarez A.: MV 5.98 ± 1.08; FV 6.36 + 1.87\n",
+ "Banda: MV 5.97 ± 0.73; FV 6.09 + 0.88\n",
+ "Ciofani D.: MV 5.85 ± 1.05; FV 6.29 + 1.82\n",
+ "Petagna: MV 5.95 ± 1.11; FV 6.48 + 2.09\n",
+ "Barrow: MV 6.16 ± 1.24; FV 6.74 + 2.39\n",
+ "Djuric: MV 6.03 ± 0.72; FV 6.23 + 0.99\n",
+ "Henry: MV 6.10 ± 1.23; FV 6.66 + 2.33\n",
+ "Success: MV 5.98 ± 0.70; FV 6.09 + 0.84\n",
+ "Gabbiadini: MV 5.86 ± 1.16; FV 6.39 + 2.11\n",
+ "Zirkzee: MV 6.13 ± 1.01; FV 6.63 + 1.86\n",
+ "Lammers: MV 5.82 ± 0.80; FV 5.91 + 1.07\n",
+ "Satriano: MV 5.92 ± 0.90; FV 6.13 + 1.35\n",
+ "Kallon: MV 5.89 ± 0.84; FV 6.14 + 1.29\n",
+ "Nestorovski: MV 6.28 ± 0.99; FV 7.11 + 2.37\n",
+ "Raspadori: MV 6.17 ± 1.05; FV 6.79 + 2.11\n",
+ "Botheim: MV 5.90 ± 1.02; FV 6.27 + 1.73\n",
+ "Gytkjaer: MV 5.84 ± 0.90; FV 6.11 + 1.45\n",
+ "Solbakken: MV 6.09 ± 0.99; FV 6.36 + 1.40\n",
+ "Lasagna: MV 5.81 ± 0.90; FV 5.94 + 1.23\n",
+ "Belotti: MV 5.70 ± 0.65; FV 5.71 + 0.63\n",
+ "Pellegri: MV 5.94 ± 0.98; FV 6.24 + 1.62\n",
+ "Buonaiuto: MV 5.90 ± 0.89; FV 6.21 + 1.42\n",
+ "Verde: MV 6.08 ± 0.95; FV 6.46 + 1.66\n",
+ "Destro: MV 6.09 ± 1.30; FV 7.00 + 3.01\n",
+ "Seck: MV 6.10 ± 0.75; FV 6.37 + 1.16\n",
+ "Sansone: MV 6.01 ± 1.03; FV 6.37 + 1.77\n",
+ "Quagliarella: MV 5.83 ± 0.76; FV 5.93 + 1.04\n",
+ "Defrel: MV 5.84 ± 0.92; FV 6.09 + 1.45\n",
+ "Pjaca: MV 5.98 ± 0.81; FV 6.15 + 1.00\n",
+ "Gaich: MV 6.01 ± 1.18; FV 6.50 + 2.17\n",
+ "Soule': MV 6.18 ± 0.76; FV 6.57 + 1.40\n",
+ "Tsadjout: MV 5.83 ± 0.83; FV 6.00 + 1.20\n",
+ "Piccoli: MV 6.08 ± 1.23; FV 7.02 + 2.97\n",
+ "Shomurodov: MV 6.03 ± 1.09; FV 6.56 + 2.07\n",
+ "Afena-Gyan: MV 5.61 ± 0.76; FV 5.68 + 0.90\n",
+ "Ngonge: MV 6.09 ± 0.88; FV 6.35 + 1.33\n",
+ "Karamoh: MV 5.90 ± 0.98; FV 6.26 + 1.66\n",
+ "Ibrahimovic: MV 6.21 ± 1.25; FV 7.21 + 3.12\n",
+ "Pussetto: MV 5.85 ± 0.95; FV 6.13 + 1.53\n",
+ "Cancellieri: MV 5.80 ± 0.59; FV 5.80 + 0.54\n",
+ "Valencia D.: MV 5.76 ± 0.61; FV 5.64 + 0.62\n",
+ "Oddei: MV 6.01 ± 0.91; FV 6.22 + 1.32\n",
+ "Braaf: MV 5.97 ± 0.95; FV 6.16 + 1.41\n",
+ "Raimondo: MV 6.05 ± 0.95; FV 6.23 + 1.31\n",
+ "Kaio Jorge: MV 5.96 ± 0.60; FV 5.99 + 0.54\n",
+ "De Luca: MV 5.78 ± 0.95; FV 5.83 + 1.22\n",
+ "Voelkerling Persson: MV 5.84 ± 0.77; FV 5.87 + 0.82\n",
+ "Montevago: MV 5.63 ± 0.63; FV 5.58 + 0.63\n",
+ "Krollis: MV 5.95 ± 0.90; FV 6.04 + 1.14\n",
+ "Vivaldo: MV 5.93 ± 0.89; FV 5.98 + 0.98\n"
]
},
{
@@ -5145,113 +7745,113 @@
" \n",
" \n",
" \n",
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- " 0.513530 \n",
- " 5.435509 \n",
- " 0.749779 \n",
- " 6.001004 \n",
- " 0.507520 \n",
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- " 1.997661 \n",
- " 6.066596 \n",
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- " 1.274944 \n",
- " 48.299336 \n",
- " \n",
- " \n",
" Rossi F. \n",
" P \n",
" Atalanta \n",
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+ " Lazio \n",
" 0 \n",
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" 1 \n",
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- " 0.225147 \n",
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- " 6.066596 \n",
- " 0.930667 \n",
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+ " 6.240065 \n",
+ " 0.413836 \n",
+ " 4.152373 \n",
+ " 0.656603 \n",
+ " 5.996478 \n",
+ " 0.250304 \n",
+ " 0.621345 \n",
+ " 1.589829 \n",
+ " 4.994501 \n",
+ " 0.649063 \n",
+ " -0.856058 \n",
+ " 0.978761 \n",
+ " 0.057899 \n",
" \n",
" \n",
" Sportiello \n",
" P \n",
" Atalanta \n",
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+ " Lazio \n",
" 0 \n",
- " 0.00 \n",
+ " 0.0 \n",
" 5 \n",
- " 6.192594 \n",
- " 0.598383 \n",
- " 5.267033 \n",
- " 0.809253 \n",
- " 6.008620 \n",
- " 0.592594 \n",
- " 0.223881 \n",
- " 1.997088 \n",
- " 6.000903 \n",
- " 0.964290 \n",
- " -0.533213 \n",
- " 1.203677 \n",
- " 35.746831 \n",
+ " 6.229934 \n",
+ " 0.413606 \n",
+ " 3.842824 \n",
+ " 0.781213 \n",
+ " 5.987415 \n",
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+ " 1.589775 \n",
+ " 4.677417 \n",
+ " 0.889610 \n",
+ " -0.657825 \n",
+ " 0.962257 \n",
+ " 0.630536 \n",
" \n",
" \n",
- " Maehle \n",
+ " Musso \n",
+ " P \n",
+ " Atalanta \n",
+ " Lazio \n",
+ " 0 \n",
+ " 1.0 \n",
+ " 90 \n",
+ " 6.241305 \n",
+ " 0.413688 \n",
+ " 3.805055 \n",
+ " 0.745440 \n",
+ " 5.997682 \n",
+ " 0.249927 \n",
+ " 0.622132 \n",
+ " 1.589848 \n",
+ " 4.588281 \n",
+ " 0.860939 \n",
+ " -0.638086 \n",
+ " 0.965051 \n",
+ " 0.630550 \n",
+ " \n",
+ " \n",
+ " Toloi \n",
" D \n",
" Atalanta \n",
- " Sassuolo \n",
+ " Lazio \n",
" 0 \n",
- " 0.60 \n",
- " 60 \n",
- " 6.036149 \n",
- " 0.454052 \n",
- " 6.529233 \n",
- " 0.879470 \n",
- " 5.913892 \n",
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- " 0.183731 \n",
- " 1.302140 \n",
- " 5.751755 \n",
- " 0.998900 \n",
- " 0.495966 \n",
- " 1.987621 \n",
+ " 1.0 \n",
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+ " 0.485607 \n",
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+ " 0.644557 \n",
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+ " 0.564084 \n",
+ " 0.048394 \n",
+ " 0.998974 \n",
+ " 5.778310 \n",
+ " 0.954499 \n",
+ " 0.301921 \n",
+ " 1.599886 \n",
" 0.000000 \n",
" \n",
" \n",
- " Scalvini \n",
+ " Zappacosta \n",
" D \n",
" Atalanta \n",
- " Sassuolo \n",
+ " Lazio \n",
" 0 \n",
- " 1.00 \n",
- " 80 \n",
- " 6.074810 \n",
- " 0.510337 \n",
- " 6.424573 \n",
- " 0.815833 \n",
- " 6.068752 \n",
- " 0.610180 \n",
- " 0.007356 \n",
- " 1.121424 \n",
- " 5.799932 \n",
- " 1.126880 \n",
- " 0.377048 \n",
- " 1.985834 \n",
+ " 0.0 \n",
+ " 50 \n",
+ " 5.927381 \n",
+ " 0.396225 \n",
+ " 6.080074 \n",
+ " 0.516057 \n",
+ " 5.884801 \n",
+ " 0.459364 \n",
+ " 0.068573 \n",
+ " 1.100237 \n",
+ " 5.755898 \n",
+ " 0.760867 \n",
+ " 0.306117 \n",
+ " 1.599905 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -5277,187 +7877,187 @@
" ... \n",
" \n",
" \n",
- " Gaich \n",
+ " Ngonge \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 0.00 \n",
- " 55 \n",
- " 5.700366 \n",
- " 0.509358 \n",
- " 6.064153 \n",
- " 0.780697 \n",
- " 5.562666 \n",
- " 0.551869 \n",
- " 0.183831 \n",
- " 1.224487 \n",
- " 5.373290 \n",
- " 0.885084 \n",
- " 0.496978 \n",
- " 1.988742 \n",
+ " 0.6 \n",
+ " 60 \n",
+ " 6.089963 \n",
+ " 0.440874 \n",
+ " 6.352181 \n",
+ " 0.666091 \n",
+ " 6.047486 \n",
+ " 0.510630 \n",
+ " 0.061438 \n",
+ " 1.034830 \n",
+ " 5.904508 \n",
+ " 0.951972 \n",
+ " 0.335237 \n",
+ " 1.599892 \n",
" 0.000000 \n",
" \n",
" \n",
" Djuric \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 1.00 \n",
- " 90 \n",
- " 5.922861 \n",
- " 0.345485 \n",
- " 6.041202 \n",
- " 0.511032 \n",
- " 5.883441 \n",
- " 0.410056 \n",
- " 0.071641 \n",
- " 1.473137 \n",
- " 5.672556 \n",
- " 0.745676 \n",
- " 0.341621 \n",
- " 1.990454 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " Lasagna \n",
- " A \n",
- " Verona \n",
- " Lazio \n",
- " 1 \n",
- " 0.55 \n",
- " 55 \n",
- " 5.719300 \n",
- " 0.431779 \n",
- " 5.909542 \n",
- " 0.588917 \n",
- " 5.647761 \n",
- " 0.494832 \n",
- " 0.107326 \n",
- " 1.340154 \n",
- " 5.440251 \n",
- " 0.779672 \n",
- " 0.403837 \n",
- " 1.989995 \n",
+ " 0.0 \n",
+ " 0 \n",
+ " 6.033207 \n",
+ " 0.361616 \n",
+ " 6.230060 \n",
+ " 0.496636 \n",
+ " 5.983521 \n",
+ " 0.415787 \n",
+ " 0.088429 \n",
+ " 1.136281 \n",
+ " 5.924402 \n",
+ " 0.738449 \n",
+ " 0.298006 \n",
+ " 1.599913 \n",
" 0.000000 \n",
" \n",
" \n",
" Braaf \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 0.45 \n",
+ " 0.0 \n",
" 55 \n",
- " 5.734690 \n",
- " 0.433356 \n",
- " 5.890573 \n",
- " 0.611714 \n",
- " 5.699566 \n",
- " 0.515700 \n",
- " 0.050670 \n",
- " 1.312336 \n",
- " 5.467443 \n",
- " 0.921282 \n",
- " 0.320319 \n",
- " 1.988160 \n",
+ " 5.972326 \n",
+ " 0.476709 \n",
+ " 6.157960 \n",
+ " 0.705597 \n",
+ " 5.950681 \n",
+ " 0.558465 \n",
+ " 0.028616 \n",
+ " 1.006961 \n",
+ " 5.694827 \n",
+ " 1.020101 \n",
+ " 0.324605 \n",
+ " 1.599876 \n",
" 0.000000 \n",
" \n",
" \n",
- " Ngonge \n",
+ " Kallon \n",
" A \n",
" Verona \n",
- " Lazio \n",
+ " Salernitana \n",
" 1 \n",
- " 0.00 \n",
+ " 0.0 \n",
" 35 \n",
- " 5.713428 \n",
- " 0.390186 \n",
- " 5.759344 \n",
- " 0.471212 \n",
- " 5.724524 \n",
- " 0.487887 \n",
- " -0.016952 \n",
- " 1.375901 \n",
- " 5.542124 \n",
- " 0.849412 \n",
- " 0.186345 \n",
- " 1.988971 \n",
+ " 5.894061 \n",
+ " 0.420545 \n",
+ " 6.143555 \n",
+ " 0.645448 \n",
+ " 5.815507 \n",
+ " 0.473957 \n",
+ " 0.122317 \n",
+ " 1.085336 \n",
+ " 5.634139 \n",
+ " 0.833541 \n",
+ " 0.423669 \n",
+ " 1.599879 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Lasagna \n",
+ " A \n",
+ " Verona \n",
+ " Salernitana \n",
+ " 1 \n",
+ " 1.0 \n",
+ " 70 \n",
+ " 5.808927 \n",
+ " 0.452028 \n",
+ " 5.943923 \n",
+ " 0.616045 \n",
+ " 5.721314 \n",
+ " 0.507906 \n",
+ " 0.127194 \n",
+ " 1.059328 \n",
+ " 5.475430 \n",
+ " 0.817998 \n",
+ " 0.400229 \n",
+ " 1.599880 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "543 rows × 19 columns
\n",
+ "520 rows × 19 columns
\n",
""
],
"text/plain": [
- " role team oppteam home starter vote% MV MV std \\\n",
- "player \n",
- "Musso P Atalanta Sassuolo 0 1.00 90 6.159522 0.513530 \n",
- "Rossi F. P Atalanta Sassuolo 0 0.00 1 6.159522 0.513530 \n",
- "Sportiello P Atalanta Sassuolo 0 0.00 5 6.192594 0.598383 \n",
- "Maehle D Atalanta Sassuolo 0 0.60 60 6.036149 0.454052 \n",
- "Scalvini D Atalanta Sassuolo 0 1.00 80 6.074810 0.510337 \n",
- "... ... ... ... ... ... ... ... ... \n",
- "Gaich A Verona Lazio 1 0.00 55 5.700366 0.509358 \n",
- "Djuric A Verona Lazio 1 1.00 90 5.922861 0.345485 \n",
- "Lasagna A Verona Lazio 1 0.55 55 5.719300 0.431779 \n",
- "Braaf A Verona Lazio 1 0.45 55 5.734690 0.433356 \n",
- "Ngonge A Verona Lazio 1 0.00 35 5.713428 0.390186 \n",
+ " role team oppteam home starter vote% MV \\\n",
+ "player \n",
+ "Rossi F. P Atalanta Lazio 0 0.0 1 6.240065 \n",
+ "Sportiello P Atalanta Lazio 0 0.0 5 6.229934 \n",
+ "Musso P Atalanta Lazio 0 1.0 90 6.241305 \n",
+ "Toloi D Atalanta Lazio 0 1.0 90 5.994116 \n",
+ "Zappacosta D Atalanta Lazio 0 0.0 50 5.927381 \n",
+ "... ... ... ... ... ... ... ... \n",
+ "Ngonge A Verona Salernitana 1 0.6 60 6.089963 \n",
+ "Djuric A Verona Salernitana 1 0.0 0 6.033207 \n",
+ "Braaf A Verona Salernitana 1 0.0 55 5.972326 \n",
+ "Kallon A Verona Salernitana 1 0.0 35 5.894061 \n",
+ "Lasagna A Verona Salernitana 1 1.0 70 5.808927 \n",
"\n",
- " FV FV std MV loc MV scale MV skewness \\\n",
- "player \n",
- "Musso 5.435509 0.749779 6.001004 0.507520 0.225147 \n",
- "Rossi F. 5.435509 0.749779 6.001004 0.507520 0.225147 \n",
- "Sportiello 5.267033 0.809253 6.008620 0.592594 0.223881 \n",
- "Maehle 6.529233 0.879470 5.913892 0.490601 0.183731 \n",
- "Scalvini 6.424573 0.815833 6.068752 0.610180 0.007356 \n",
- "... ... ... ... ... ... \n",
- "Gaich 6.064153 0.780697 5.562666 0.551869 0.183831 \n",
- "Djuric 6.041202 0.511032 5.883441 0.410056 0.071641 \n",
- "Lasagna 5.909542 0.588917 5.647761 0.494832 0.107326 \n",
- "Braaf 5.890573 0.611714 5.699566 0.515700 0.050670 \n",
- "Ngonge 5.759344 0.471212 5.724524 0.487887 -0.016952 \n",
+ " MV std FV FV std MV loc MV scale MV skewness \\\n",
+ "player \n",
+ "Rossi F. 0.413836 4.152373 0.656603 5.996478 0.250304 0.621345 \n",
+ "Sportiello 0.413606 3.842824 0.781213 5.987415 0.252297 0.615500 \n",
+ "Musso 0.413688 3.805055 0.745440 5.997682 0.249927 0.622132 \n",
+ "Toloi 0.485607 6.178981 0.644557 5.957124 0.564084 0.048394 \n",
+ "Zappacosta 0.396225 6.080074 0.516057 5.884801 0.459364 0.068573 \n",
+ "... ... ... ... ... ... ... \n",
+ "Ngonge 0.440874 6.352181 0.666091 6.047486 0.510630 0.061438 \n",
+ "Djuric 0.361616 6.230060 0.496636 5.983521 0.415787 0.088429 \n",
+ "Braaf 0.476709 6.157960 0.705597 5.950681 0.558465 0.028616 \n",
+ "Kallon 0.420545 6.143555 0.645448 5.815507 0.473957 0.122317 \n",
+ "Lasagna 0.452028 5.943923 0.616045 5.721314 0.507906 0.127194 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Musso 1.997661 6.066596 0.930667 -0.477868 1.274944 \n",
- "Rossi F. 1.997661 6.066596 0.930667 -0.477868 1.274944 \n",
- "Sportiello 1.997088 6.000903 0.964290 -0.533213 1.203677 \n",
- "Maehle 1.302140 5.751755 0.998900 0.495966 1.987621 \n",
- "Scalvini 1.121424 5.799932 1.126880 0.377048 1.985834 \n",
+ "Rossi F. 1.589829 4.994501 0.649063 -0.856058 0.978761 \n",
+ "Sportiello 1.589775 4.677417 0.889610 -0.657825 0.962257 \n",
+ "Musso 1.589848 4.588281 0.860939 -0.638086 0.965051 \n",
+ "Toloi 0.998974 5.778310 0.954499 0.301921 1.599886 \n",
+ "Zappacosta 1.100237 5.755898 0.760867 0.306117 1.599905 \n",
"... ... ... ... ... ... \n",
- "Gaich 1.224487 5.373290 0.885084 0.496978 1.988742 \n",
- "Djuric 1.473137 5.672556 0.745676 0.341621 1.990454 \n",
- "Lasagna 1.340154 5.440251 0.779672 0.403837 1.989995 \n",
- "Braaf 1.312336 5.467443 0.921282 0.320319 1.988160 \n",
- "Ngonge 1.375901 5.542124 0.849412 0.186345 1.988971 \n",
+ "Ngonge 1.034830 5.904508 0.951972 0.335237 1.599892 \n",
+ "Djuric 1.136281 5.924402 0.738449 0.298006 1.599913 \n",
+ "Braaf 1.006961 5.694827 1.020101 0.324605 1.599876 \n",
+ "Kallon 1.085336 5.634139 0.833541 0.423669 1.599879 \n",
+ "Lasagna 1.059328 5.475430 0.817998 0.400229 1.599880 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Musso 48.299336 \n",
- "Rossi F. 48.299336 \n",
- "Sportiello 35.746831 \n",
- "Maehle 0.000000 \n",
- "Scalvini 0.000000 \n",
+ "Rossi F. 0.057899 \n",
+ "Sportiello 0.630536 \n",
+ "Musso 0.630550 \n",
+ "Toloi 0.000000 \n",
+ "Zappacosta 0.000000 \n",
"... ... \n",
- "Gaich 0.000000 \n",
- "Djuric 0.000000 \n",
- "Lasagna 0.000000 \n",
- "Braaf 0.000000 \n",
"Ngonge 0.000000 \n",
+ "Djuric 0.000000 \n",
+ "Braaf 0.000000 \n",
+ "Kallon 0.000000 \n",
+ "Lasagna 0.000000 \n",
"\n",
- "[543 rows x 19 columns]"
+ "[520 rows x 19 columns]"
]
},
- "execution_count": 92,
+ "execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "matchday_out = 21\n",
+ "matchday_out = 22\n",
"\n",
"output = pd.DataFrame(columns = ['player', 'role', 'team', 'oppteam', 'home', 'starter', 'vote%', 'MV', 'MV std', 'FV', 'FV std', 'MV loc', 'MV scale', 'MV skewness', 'MV tailweight', 'FV loc', 'FV scale', 'FV skewness', 'FV tailweight', 'Clean Sheet %'])\n",
"\n",
@@ -5507,7 +8107,7 @@
},
{
"cell_type": "code",
- "execution_count": 94,
+ "execution_count": 59,
"id": "6befd611",
"metadata": {},
"outputs": [],
@@ -5533,7 +8133,7 @@
},
{
"cell_type": "code",
- "execution_count": 95,
+ "execution_count": 60,
"id": "2b637a15",
"metadata": {},
"outputs": [],
@@ -5545,7 +8145,7 @@
},
{
"cell_type": "code",
- "execution_count": 96,
+ "execution_count": 61,
"id": "60d73507",
"metadata": {},
"outputs": [
@@ -5553,561 +8153,561 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Meret (6.14, 0.51); (5.45, 0.73)\n",
- "Provedel (6.24, 0.59); (5.60, 0.75)\n",
- "Vicario (6.50, 0.53); (6.02, 0.65)\n",
- "Szczesny (6.09, 0.21); (5.81, 0.48)\n",
- "Falcone (6.25, 0.34); (5.20, 0.41)\n",
- "Silvestri (6.26, 0.63); (5.35, 0.82)\n",
- "Rui Patricio (6.10, 0.28); (5.66, 0.52)\n",
- "Onana (6.21, 0.38); (4.89, 0.74)\n",
- "Sepe (6.49, 0.50); (5.06, 0.83)\n",
- "Milinkovic-Savic V. (6.02, 0.09); (4.88, 0.47)\n",
- "Musso (6.25, 0.51); (5.84, 0.63)\n",
- "Maignan (6.18, 0.52); (5.54, 0.72)\n",
- "Carnesecchi (6.54, 0.53); (5.29, 0.83)\n",
- "Di Gregorio (6.21, 0.41); (5.25, 0.52)\n",
- "Audero (6.19, 0.22); (4.45, 0.44)\n",
- "Montipo' (6.24, 0.47); (4.63, 0.55)\n",
- "Skorupski (6.20, 0.43); (4.67, 0.60)\n",
- "Consigli (6.28, 0.23); (4.77, 0.46)\n",
- "Dragowski (6.06, 0.17); (4.01, 0.53)\n",
- "Terracciano (5.80, 0.14); (3.78, 0.75)\n",
- "Tatarusanu (5.98, 0.16); (3.78, 0.61)\n",
- "Handanovic (6.06, 0.33); (4.48, 0.80)\n",
- "Sportiello (6.25, 0.65); (5.45, 0.79)\n",
- "Perin (6.26, 0.63); (5.55, 0.79)\n",
- "Zoet (6.50, 0.60); (5.88, 0.64)\n",
- "Ochoa (6.43, 0.54); (4.83, 0.95)\n",
- "Pegolo (6.36, 0.42); (5.26, 0.53)\n",
- "Gollini (6.18, 0.53); (5.55, 0.72)\n",
- "Mirante (6.18, 0.52); (5.54, 0.72)\n",
- "Sarr M. (6.54, 0.53); (5.29, 0.83)\n",
- "Lamanna (6.21, 0.41); (5.25, 0.52)\n",
- "Ujkani (6.50, 0.53); (6.02, 0.65)\n",
- "Berisha (6.02, 0.09); (4.88, 0.47)\n",
- "Marchetti (6.06, 0.17); (4.01, 0.53)\n",
- "Perilli (6.24, 0.47); (4.63, 0.55)\n",
- "Padelli (6.26, 0.63); (5.35, 0.82)\n",
- "Perisan (6.50, 0.53); (6.02, 0.65)\n",
- "Bardi (6.20, 0.43); (4.67, 0.60)\n",
- "Cordaz (6.21, 0.38); (4.89, 0.74)\n",
- "Pinsoglio (6.09, 0.21); (5.81, 0.48)\n",
- "Fiorillo (6.49, 0.50); (5.06, 0.83)\n",
- "Cragno (6.21, 0.41); (5.25, 0.52)\n",
- "Sirigu (5.80, 0.14); (3.78, 0.75)\n",
- "Cerofolini (5.80, 0.14); (3.78, 0.75)\n",
- "Rossi F. (6.25, 0.51); (5.84, 0.63)\n",
- "Ravaglia F. (6.20, 0.43); (4.67, 0.60)\n",
- "Brancolini (6.25, 0.34); (5.20, 0.41)\n",
- "Bleve (6.25, 0.34); (5.20, 0.41)\n",
- "Berardi A. (6.24, 0.47); (4.63, 0.55)\n",
- "Russo A. (6.28, 0.23); (4.77, 0.46)\n",
- "Gemello (6.02, 0.09); (4.88, 0.47)\n",
- "Ravaglia (6.19, 0.22); (4.45, 0.44)\n",
- "Boer (6.10, 0.28); (5.66, 0.52)\n",
- "Adamonis (6.24, 0.59); (5.60, 0.75)\n",
- "Marfella (6.14, 0.51); (5.45, 0.73)\n",
- "Zovko (6.12, 0.26); (4.28, 0.60)\n",
- "Piana (6.26, 0.63); (5.35, 0.82)\n",
- "Bagnolini (6.20, 0.43); (4.67, 0.60)\n",
- "Luis Maximiano (6.12, 0.50); (5.37, 0.78)\n",
- "Svilar (6.10, 0.28); (5.66, 0.52)\n",
- "Sorrentino A. (6.21, 0.41); (5.25, 0.52)\n",
- "Ciezkowski (6.54, 0.53); (5.29, 0.83)\n",
- "Saro (6.54, 0.53); (5.29, 0.83)\n",
- "Vasquez D. (6.20, 0.55); (5.54, 0.74)\n",
- "Turk (6.19, 0.22); (4.45, 0.44)\n",
- "Dimarco (6.22, 0.50); (7.02, 1.25)\n",
- "Smalling (6.15, 0.47); (6.55, 0.81)\n",
- "Doig (6.20, 0.59); (7.08, 1.45)\n",
- "Carlos Augusto (6.08, 0.57); (6.65, 1.15)\n",
- "Kim (6.21, 0.45); (6.64, 0.74)\n",
- "Posch (6.11, 0.52); (6.51, 0.93)\n",
- "Di Lorenzo (6.15, 0.36); (6.48, 0.61)\n",
- "Danilo (6.20, 0.47); (6.57, 0.77)\n",
- "Hernandez T. (6.06, 0.53); (6.33, 0.83)\n",
- "Udogie (6.11, 0.54); (6.71, 1.14)\n",
- "Parisi (6.17, 0.45); (6.64, 0.85)\n",
- "Mario Rui (6.17, 0.39); (6.45, 0.59)\n",
- "Romagnoli (6.16, 0.45); (6.36, 0.56)\n",
- "Bastoni S. (6.09, 0.50); (6.66, 1.05)\n",
- "Mazzocchi (6.07, 0.49); (6.55, 0.89)\n",
- "Valeri (6.03, 0.36); (6.27, 0.58)\n",
- "Tomori (6.04, 0.43); (6.28, 0.60)\n",
- "Scalvini (6.08, 0.49); (6.41, 0.81)\n",
- "Toloi (6.13, 0.43); (6.39, 0.62)\n",
- "Demiral (6.04, 0.43); (6.29, 0.65)\n",
- "Maehle (6.05, 0.43); (6.48, 0.82)\n",
- "Dumfries (6.02, 0.53); (6.60, 1.08)\n",
- "Baschirotto (6.12, 0.50); (6.53, 0.87)\n",
- "Bijol (5.95, 0.53); (6.17, 0.75)\n",
- "Schuurs (6.13, 0.36); (6.21, 0.41)\n",
- "Juan Jesus (6.15, 0.35); (6.50, 0.62)\n",
- "Depaoli (5.89, 0.49); (6.26, 0.83)\n",
- "Mancini (6.07, 0.33); (6.07, 0.32)\n",
- "Ibanez (6.00, 0.47); (6.22, 0.66)\n",
- "Rodrigo Becao (6.09, 0.44); (6.33, 0.61)\n",
- "Ebuehi (6.08, 0.39); (6.37, 0.61)\n",
- "Gosens (5.99, 0.36); (6.23, 0.62)\n",
- "Darmian (6.07, 0.39); (6.40, 0.65)\n",
- "Reca (5.97, 0.48); (6.25, 0.73)\n",
- "Bremer (6.01, 0.50); (6.23, 0.69)\n",
- "Sernicola (5.89, 0.40); (6.10, 0.61)\n",
- "Rrahmani (6.20, 0.45); (6.56, 0.69)\n",
- "Vojvoda (5.96, 0.40); (6.10, 0.51)\n",
- "Holm (5.90, 0.43); (6.12, 0.62)\n",
- "Bastoni (6.04, 0.41); (6.23, 0.55)\n",
- "Milenkovic (5.87, 0.53); (6.00, 0.71)\n",
- "Kalulu (5.84, 0.54); (5.93, 0.69)\n",
- "Martinez Quarta (6.03, 0.49); (6.25, 0.68)\n",
- "Casale (6.05, 0.42); (6.22, 0.52)\n",
- "Perez N. (6.07, 0.44); (6.35, 0.62)\n",
- "Olivera (6.07, 0.31); (6.35, 0.53)\n",
- "Izzo (6.05, 0.33); (6.03, 0.32)\n",
- "Luperto (5.98, 0.50); (6.12, 0.64)\n",
- "Skriniar (5.90, 0.38); (5.85, 0.37)\n",
- "Rodriguez R. (5.97, 0.37); (5.97, 0.34)\n",
- "Marusic (6.00, 0.35); (6.01, 0.33)\n",
- "Lazzari (6.05, 0.37); (6.09, 0.37)\n",
- "Kyriakopoulos (5.95, 0.42); (6.10, 0.58)\n",
- "Ampadu (5.84, 0.46); (5.84, 0.49)\n",
- "Ismajli (6.07, 0.38); (6.11, 0.37)\n",
- "Llorente D. (5.87, 0.52); (6.05, 0.72)\n",
- "Cambiaso (5.94, 0.35); (5.93, 0.35)\n",
- "Hysaj (5.98, 0.26); (5.95, 0.26)\n",
- "Biraghi (5.95, 0.33); (5.96, 0.35)\n",
- "Medel (5.96, 0.36); (5.93, 0.33)\n",
- "Bonucci (6.13, 0.50); (6.55, 0.89)\n",
- "Calabria (5.94, 0.48); (6.13, 0.68)\n",
- "Acerbi (6.05, 0.36); (6.16, 0.43)\n",
- "Spinazzola (5.96, 0.29); (5.98, 0.31)\n",
- "Lykogiannis (5.94, 0.30); (5.96, 0.33)\n",
- "Pellegrini Lu. (6.02, 0.31); (6.01, 0.30)\n",
- "Djidji (5.83, 0.44); (5.92, 0.54)\n",
- "Lazaro (5.95, 0.42); (6.04, 0.50)\n",
- "Augello (5.79, 0.46); (6.00, 0.67)\n",
- "Gallo (5.96, 0.35); (5.93, 0.32)\n",
- "Singo (5.96, 0.35); (6.00, 0.39)\n",
- "Mari' (5.78, 0.56); (5.88, 0.71)\n",
- "Caldirola (5.84, 0.42); (5.82, 0.40)\n",
- "Dodo' (5.69, 0.47); (5.69, 0.48)\n",
- "De Vrij (5.86, 0.38); (5.89, 0.41)\n",
- "Patric (6.06, 0.39); (6.19, 0.43)\n",
- "Faraoni (5.95, 0.44); (6.29, 0.77)\n",
- "Ceccherini (5.81, 0.51); (6.00, 0.71)\n",
- "Hateboer (5.85, 0.50); (6.15, 0.83)\n",
- "Rogerio (5.75, 0.43); (5.76, 0.44)\n",
- "Umtiti (6.01, 0.48); (6.13, 0.55)\n",
- "Aina (5.94, 0.46); (6.18, 0.68)\n",
- "Birindelli (5.81, 0.33); (5.79, 0.35)\n",
- "Lucumi' (5.84, 0.40); (5.82, 0.38)\n",
- "Ehizibue (5.91, 0.39); (6.03, 0.56)\n",
- "Bianchetti (5.67, 0.44); (5.78, 0.55)\n",
- "Ferrari G. (5.75, 0.55); (5.85, 0.69)\n",
- "Fazio (5.72, 0.65); (5.72, 0.73)\n",
- "Gravillon (5.92, 0.43); (6.00, 0.49)\n",
- "Buongiorno (5.89, 0.39); (5.83, 0.33)\n",
- "Gunter (5.74, 0.49); (5.87, 0.63)\n",
- "Troost-Ekong (5.73, 0.59); (5.81, 0.68)\n",
- "Soumaoro (5.78, 0.49); (5.78, 0.50)\n",
- "Ceccaroni (5.97, 0.50); (6.10, 0.61)\n",
- "Pongracic (5.98, 0.39); (5.97, 0.34)\n",
- "Soppy (5.89, 0.35); (5.88, 0.38)\n",
- "Gendrey (5.82, 0.32); (5.77, 0.28)\n",
- "Hien (5.76, 0.41); (5.69, 0.38)\n",
- "Ferrari A. (5.74, 0.53); (5.88, 0.68)\n",
- "Masina (6.06, 0.42); (6.35, 0.66)\n",
- "Zappacosta (6.04, 0.38); (6.29, 0.56)\n",
- "Gyomber (5.73, 0.47); (5.72, 0.46)\n",
- "Alex Sandro (5.67, 0.47); (5.61, 0.42)\n",
- "Pezzella Giu. (5.90, 0.28); (5.85, 0.26)\n",
- "Bereszynski (5.90, 0.28); (5.83, 0.27)\n",
- "Venuti (5.76, 0.36); (5.74, 0.36)\n",
- "Palomino (6.02, 0.44); (6.19, 0.55)\n",
- "Nuytinck (5.93, 0.46); (5.99, 0.50)\n",
- "Marlon (5.74, 0.33); (5.67, 0.29)\n",
- "Magnani (5.74, 0.47); (5.68, 0.46)\n",
- "Colley (5.76, 0.52); (5.92, 0.69)\n",
- "Nikolaou (5.70, 0.40); (5.64, 0.35)\n",
- "Terzic (5.97, 0.22); (5.94, 0.23)\n",
- "Igor (5.69, 0.46); (5.62, 0.43)\n",
- "Toljan (5.69, 0.38); (5.65, 0.37)\n",
- "Zortea (5.91, 0.46); (6.21, 0.74)\n",
- "Dawidowicz (5.68, 0.54); (5.74, 0.62)\n",
- "Celik (5.80, 0.38); (5.72, 0.35)\n",
- "Bellanova (5.92, 0.35); (5.94, 0.40)\n",
- "Erlic (5.80, 0.46); (5.81, 0.47)\n",
- "Ballo-Toure' (6.09, 0.37); (6.44, 0.65)\n",
- "Dest (5.80, 0.39); (5.81, 0.42)\n",
- "Stojanovic (5.66, 0.41); (5.63, 0.41)\n",
- "Amian (5.66, 0.41); (5.62, 0.41)\n",
- "Bradaric (5.64, 0.43); (5.68, 0.48)\n",
- "Daniliuc (5.70, 0.56); (5.75, 0.64)\n",
- "Zima (5.86, 0.40); (5.84, 0.35)\n",
- "De Winter (5.89, 0.39); (5.83, 0.34)\n",
- "Quagliata (5.90, 0.27); (5.91, 0.29)\n",
- "Ebosse (5.77, 0.35); (5.67, 0.30)\n",
- "Aiwu (5.85, 0.45); (5.95, 0.55)\n",
- "Lochoshvili (5.69, 0.40); (5.63, 0.39)\n",
- "Bronn (5.78, 0.35); (5.71, 0.32)\n",
- "Thiaw (5.85, 0.46); (5.88, 0.52)\n",
- "Zeefuik (5.88, 0.43); (5.95, 0.51)\n",
- "Romagnoli S. (6.00, 0.53); (6.31, 0.85)\n",
- "Ghiglione (5.72, 0.40); (5.74, 0.49)\n",
- "Rugani (5.97, 0.31); (5.92, 0.27)\n",
- "De Sciglio (5.89, 0.28); (5.83, 0.27)\n",
- "Djimsiti (5.96, 0.35); (5.95, 0.35)\n",
- "Caldara (5.68, 0.48); (5.67, 0.48)\n",
- "Karsdorp (5.90, 0.34); (5.88, 0.34)\n",
- "Marchizza (5.77, 0.32); (5.70, 0.32)\n",
- "Kjaer (5.96, 0.34); (5.92, 0.33)\n",
- "Okoli (5.66, 0.43); (5.56, 0.37)\n",
- "Amione (5.55, 0.40); (5.47, 0.37)\n",
- "Ruggeri (5.94, 0.28); (5.88, 0.27)\n",
- "Zanoli (5.94, 0.24); (5.92, 0.23)\n",
- "Wisniewski (5.81, 0.44); (5.89, 0.52)\n",
- "Radovanovic (5.52, 0.38); (5.35, 0.32)\n",
- "Dermaku (5.96, 0.44); (6.06, 0.50)\n",
- "D'ambrosio (6.06, 0.29); (6.09, 0.32)\n",
- "De Silvestri (5.78, 0.43); (5.91, 0.58)\n",
- "Chiriches (5.70, 0.48); (5.68, 0.46)\n",
- "Murru (5.63, 0.40); (5.63, 0.44)\n",
- "Bonifazi (5.74, 0.40); (5.67, 0.35)\n",
- "Donati (5.84, 0.48); (5.87, 0.52)\n",
- "Walukiewicz (5.70, 0.41); (5.65, 0.36)\n",
- "Ranieri L. (5.77, 0.37); (5.79, 0.45)\n",
- "Gabbia (5.58, 0.48); (5.53, 0.44)\n",
- "Kumbulla (5.92, 0.28); (5.87, 0.25)\n",
- "Adopo (5.88, 0.26); (5.83, 0.24)\n",
- "Pirola (5.54, 0.48); (5.47, 0.44)\n",
- "Lovato (5.58, 0.48); (5.53, 0.43)\n",
- "Tuia (5.78, 0.43); (5.86, 0.51)\n"
+ "Meret (6.24, 0.41); (5.58, 0.42)\n",
+ "Provedel (6.24, 0.41); (5.95, 0.36)\n",
+ "Vicario (6.24, 0.41); (5.36, 0.42)\n",
+ "Szczesny (6.24, 0.41); (6.01, 0.36)\n",
+ "Falcone (6.24, 0.41); (4.85, 0.45)\n",
+ "Silvestri (6.24, 0.41); (5.11, 0.44)\n",
+ "Rui Patricio (6.24, 0.41); (5.50, 0.38)\n",
+ "Onana (6.19, 0.42); (4.75, 0.59)\n",
+ "Sepe (6.24, 0.41); (5.10, 0.46)\n",
+ "Milinkovic-Savic V. (6.24, 0.41); (4.90, 0.41)\n",
+ "Musso (6.24, 0.41); (4.99, 0.63)\n",
+ "Maignan (6.24, 0.41); (5.81, 0.41)\n",
+ "Carnesecchi (6.24, 0.41); (5.22, 0.48)\n",
+ "Di Gregorio (6.25, 0.41); (5.01, 0.61)\n",
+ "Audero (6.24, 0.41); (4.75, 0.48)\n",
+ "Montipo' (6.24, 0.41); (4.72, 0.52)\n",
+ "Skorupski (6.24, 0.41); (4.76, 0.59)\n",
+ "Consigli (6.24, 0.41); (4.91, 0.50)\n",
+ "Dragowski (6.24, 0.41); (4.97, 0.54)\n",
+ "Terracciano (6.18, 0.42); (4.50, 0.65)\n",
+ "Tatarusanu (6.18, 0.43); (3.89, 0.76)\n",
+ "Handanovic (5.87, 0.50); (4.47, 0.71)\n",
+ "Sportiello (6.23, 0.42); (5.75, 0.47)\n",
+ "Perin (6.24, 0.41); (5.57, 0.41)\n",
+ "Zoet (6.24, 0.41); (5.55, 0.43)\n",
+ "Ochoa (6.23, 0.42); (4.02, 0.95)\n",
+ "Pegolo (6.24, 0.41); (5.55, 0.40)\n",
+ "Gollini (6.24, 0.41); (5.16, 0.43)\n",
+ "Mirante no data\n",
+ "Sarr M. no data\n",
+ "Lamanna no data\n",
+ "Ujkani no data\n",
+ "Berisha (6.24, 0.41); (5.29, 0.44)\n",
+ "Marchetti no data\n",
+ "Perilli no data\n",
+ "Padelli (6.24, 0.41); (4.83, 0.48)\n",
+ "Perisan no data\n",
+ "Bardi (6.24, 0.41); (5.27, 0.54)\n",
+ "Cordaz no data\n",
+ "Pinsoglio (6.24, 0.41); (5.06, 0.42)\n",
+ "Fiorillo (6.17, 0.43); (3.83, 0.97)\n",
+ "Cragno (6.24, 0.41); (4.42, 0.63)\n",
+ "Sirigu (6.24, 0.41); (4.39, 0.64)\n",
+ "Cerofolini no data\n",
+ "Rossi F. (6.00, 0.46); (3.42, 1.07)\n",
+ "Ravaglia F. no data\n",
+ "Brancolini no data\n",
+ "Bleve no data\n",
+ "Berardi A. (6.24, 0.41); (4.34, 0.60)\n",
+ "Russo A. no data\n",
+ "Gemello (6.24, 0.41); (5.79, 0.40)\n",
+ "Ravaglia (6.24, 0.41); (4.34, 0.66)\n",
+ "Boer no data\n",
+ "Adamonis no data\n",
+ "Marfella (6.24, 0.41); (5.13, 0.46)\n",
+ "Zovko (5.74, 0.52); (2.94, 1.36)\n",
+ "Piana no data\n",
+ "Bagnolini no data\n",
+ "Luis Maximiano (6.30, 0.40); (6.35, 0.47)\n",
+ "Svilar no data\n",
+ "Sorrentino A. no data\n",
+ "Ciezkowski no data\n",
+ "Saro no data\n",
+ "Vasquez D. no data\n",
+ "Turk no data\n",
+ "Dimarco (6.22, 0.50); (6.73, 0.92)\n",
+ "Smalling (6.24, 0.51); (6.68, 0.89)\n",
+ "Doig (6.21, 0.58); (6.85, 1.17)\n",
+ "Carlos Augusto (6.10, 0.55); (6.59, 1.02)\n",
+ "Kim (6.26, 0.48); (6.60, 0.80)\n",
+ "Posch (6.12, 0.59); (6.78, 1.23)\n",
+ "Di Lorenzo (6.23, 0.43); (6.55, 0.72)\n",
+ "Danilo (6.27, 0.51); (6.68, 0.87)\n",
+ "Hernandez T. (6.03, 0.60); (6.44, 1.02)\n",
+ "Udogie (6.09, 0.55); (6.55, 1.01)\n",
+ "Parisi (6.21, 0.44); (6.63, 0.79)\n",
+ "Mario Rui (6.22, 0.44); (6.47, 0.67)\n",
+ "Romagnoli (6.19, 0.47); (6.42, 0.68)\n",
+ "Bastoni S. (6.14, 0.50); (6.58, 0.92)\n",
+ "Mazzocchi (6.12, 0.50); (6.55, 0.89)\n",
+ "Valeri (6.08, 0.37); (6.31, 0.55)\n",
+ "Tomori (6.12, 0.48); (6.37, 0.69)\n",
+ "Scalvini (6.11, 0.54); (6.48, 0.89)\n",
+ "Toloi (6.18, 0.50); (6.51, 0.77)\n",
+ "Demiral (6.08, 0.46); (6.33, 0.68)\n",
+ "Maehle (5.98, 0.50); (6.22, 0.76)\n",
+ "Dumfries (6.04, 0.55); (6.44, 0.97)\n",
+ "Baschirotto (6.19, 0.54); (6.64, 0.96)\n",
+ "Bijol (5.92, 0.53); (6.12, 0.77)\n",
+ "Schuurs (6.15, 0.37); (6.23, 0.47)\n",
+ "Juan Jesus (6.19, 0.38); (6.45, 0.62)\n",
+ "Depaoli (5.96, 0.48); (6.19, 0.75)\n",
+ "Mancini (6.11, 0.36); (6.14, 0.40)\n",
+ "Ibanez (6.11, 0.52); (6.47, 0.85)\n",
+ "Rodrigo Becao (6.14, 0.47); (6.42, 0.71)\n",
+ "Ebuehi (6.09, 0.43); (6.38, 0.65)\n",
+ "Gosens (5.98, 0.34); (6.21, 0.50)\n",
+ "Darmian (6.08, 0.41); (6.46, 0.71)\n",
+ "Reca (5.89, 0.55); (6.13, 0.80)\n",
+ "Bremer (5.97, 0.54); (6.12, 0.68)\n",
+ "Sernicola (5.94, 0.40); (6.07, 0.55)\n",
+ "Rrahmani (6.26, 0.49); (6.56, 0.78)\n",
+ "Vojvoda (6.03, 0.46); (6.18, 0.59)\n",
+ "Holm (6.00, 0.44); (6.22, 0.66)\n",
+ "Bastoni (6.10, 0.46); (6.21, 0.56)\n",
+ "Milenkovic (5.91, 0.53); (6.07, 0.73)\n",
+ "Kalulu (5.78, 0.56); (5.83, 0.68)\n",
+ "Martinez Quarta (6.04, 0.52); (6.26, 0.73)\n",
+ "Casale (6.01, 0.45); (6.12, 0.56)\n",
+ "Perez N. (6.07, 0.46); (6.20, 0.57)\n",
+ "Olivera (6.15, 0.38); (6.48, 0.65)\n",
+ "Izzo (6.01, 0.39); (6.00, 0.39)\n",
+ "Luperto (5.82, 0.53); (5.82, 0.56)\n",
+ "Skriniar (5.84, 0.42); (5.81, 0.41)\n",
+ "Rodriguez R. (6.00, 0.39); (5.98, 0.39)\n",
+ "Marusic (6.03, 0.39); (6.05, 0.41)\n",
+ "Lazzari (6.05, 0.41); (6.08, 0.44)\n",
+ "Kyriakopoulos (5.91, 0.50); (6.00, 0.59)\n",
+ "Ampadu (5.84, 0.47); (5.86, 0.57)\n",
+ "Ismajli (6.06, 0.40); (6.03, 0.40)\n",
+ "Llorente D. (5.93, 0.52); (6.10, 0.72)\n",
+ "Cambiaso (5.96, 0.41); (5.99, 0.45)\n",
+ "Hysaj (6.00, 0.35); (6.05, 0.36)\n",
+ "Biraghi (6.00, 0.39); (6.05, 0.41)\n",
+ "Medel (5.95, 0.39); (5.91, 0.38)\n",
+ "Bonucci (6.21, 0.54); (6.66, 0.94)\n",
+ "Calabria (5.87, 0.53); (6.06, 0.77)\n",
+ "Acerbi (6.06, 0.41); (6.12, 0.46)\n",
+ "Spinazzola (6.00, 0.34); (6.05, 0.35)\n",
+ "Lykogiannis (5.97, 0.37); (6.04, 0.40)\n",
+ "Pellegrini Lu. (6.04, 0.37); (6.09, 0.41)\n",
+ "Djidji (5.92, 0.45); (5.99, 0.57)\n",
+ "Lazaro (6.02, 0.48); (6.16, 0.60)\n",
+ "Augello (5.83, 0.46); (5.93, 0.61)\n",
+ "Gallo (5.96, 0.38); (5.93, 0.36)\n",
+ "Singo (6.04, 0.42); (6.18, 0.53)\n",
+ "Mari' (5.83, 0.57); (5.94, 0.75)\n",
+ "Caldirola (5.81, 0.48); (5.77, 0.49)\n",
+ "Dodo' (5.78, 0.48); (5.70, 0.51)\n",
+ "De Vrij (5.87, 0.43); (5.90, 0.48)\n",
+ "Patric (6.04, 0.43); (6.05, 0.46)\n",
+ "Faraoni (5.98, 0.43); (6.16, 0.62)\n",
+ "Ceccherini (5.87, 0.52); (5.98, 0.71)\n",
+ "Hateboer (5.87, 0.48); (5.99, 0.69)\n",
+ "Rogerio (5.77, 0.45); (5.71, 0.49)\n",
+ "Umtiti (5.91, 0.50); (5.98, 0.56)\n",
+ "Aina (6.07, 0.53); (6.38, 0.80)\n",
+ "Birindelli (5.83, 0.37); (5.84, 0.40)\n",
+ "Lucumi' (5.91, 0.43); (5.89, 0.46)\n",
+ "Ehizibue (5.85, 0.45); (5.98, 0.65)\n",
+ "Bianchetti (5.76, 0.48); (5.78, 0.61)\n",
+ "Ferrari G. (5.77, 0.56); (5.83, 0.72)\n",
+ "Fazio (5.66, 0.63); (5.72, 0.71)\n",
+ "Gravillon (5.97, 0.45); (6.04, 0.54)\n",
+ "Buongiorno (5.95, 0.41); (5.90, 0.39)\n",
+ "Gunter (5.79, 0.50); (5.78, 0.62)\n",
+ "Troost-Ekong (5.77, 0.57); (5.78, 0.63)\n",
+ "Soumaoro (5.86, 0.50); (5.83, 0.52)\n",
+ "Ceccaroni (5.89, 0.53); (5.99, 0.66)\n",
+ "Pongracic (5.95, 0.40); (5.91, 0.38)\n",
+ "Soppy (5.85, 0.40); (5.87, 0.42)\n",
+ "Gendrey (5.87, 0.36); (5.83, 0.33)\n",
+ "Hien (5.81, 0.42); (5.74, 0.44)\n",
+ "Ferrari A. (5.77, 0.54); (5.80, 0.67)\n",
+ "Masina (6.05, 0.53); (6.51, 0.98)\n",
+ "Zappacosta (6.08, 0.41); (6.31, 0.59)\n",
+ "Gyomber (5.79, 0.46); (5.72, 0.46)\n",
+ "Alex Sandro (5.83, 0.49); (5.74, 0.45)\n",
+ "Pezzella Giu. (5.93, 0.35); (5.93, 0.32)\n",
+ "Bereszynski (5.89, 0.34); (5.86, 0.31)\n",
+ "Venuti (5.84, 0.41); (5.83, 0.43)\n",
+ "Palomino (6.08, 0.50); (6.25, 0.63)\n",
+ "Nuytinck (5.85, 0.51); (5.85, 0.56)\n",
+ "Marlon (5.81, 0.38); (5.77, 0.36)\n",
+ "Magnani (5.82, 0.47); (5.74, 0.47)\n",
+ "Colley (5.77, 0.57); (5.84, 0.72)\n",
+ "Nikolaou (5.70, 0.43); (5.60, 0.43)\n",
+ "Terzic (6.04, 0.28); (5.97, 0.22)\n",
+ "Igor (5.79, 0.48); (5.68, 0.48)\n",
+ "Toljan (5.71, 0.43); (5.62, 0.44)\n",
+ "Zortea (5.84, 0.44); (5.89, 0.56)\n",
+ "Dawidowicz (5.82, 0.52); (5.87, 0.68)\n",
+ "Celik (5.79, 0.39); (5.75, 0.39)\n",
+ "Bellanova (5.90, 0.42); (5.96, 0.50)\n",
+ "Erlic (5.82, 0.50); (5.76, 0.52)\n",
+ "Ballo-Toure' (6.13, 0.41); (6.50, 0.69)\n",
+ "Dest (5.78, 0.44); (5.77, 0.48)\n",
+ "Stojanovic (5.76, 0.43); (5.71, 0.47)\n",
+ "Amian (5.78, 0.43); (5.72, 0.47)\n",
+ "Bradaric (5.73, 0.44); (5.71, 0.50)\n",
+ "Daniliuc (5.75, 0.57); (5.77, 0.65)\n",
+ "Zima (5.94, 0.41); (5.94, 0.42)\n",
+ "De Winter (5.75, 0.43); (5.67, 0.40)\n",
+ "Quagliata (5.94, 0.32); (5.96, 0.29)\n",
+ "Ebosse (5.77, 0.36); (5.69, 0.34)\n",
+ "Aiwu (5.89, 0.48); (5.96, 0.64)\n",
+ "Lochoshvili (5.77, 0.40); (5.70, 0.43)\n",
+ "Bronn (5.77, 0.37); (5.72, 0.34)\n",
+ "Thiaw (6.00, 0.43); (6.02, 0.44)\n",
+ "Zeefuik (5.90, 0.45); (5.93, 0.55)\n",
+ "Romagnoli S. (5.98, 0.59); (6.34, 0.96)\n",
+ "Ghiglione (5.82, 0.45); (5.83, 0.57)\n",
+ "Rugani (6.00, 0.32); (5.93, 0.27)\n",
+ "De Sciglio (5.87, 0.34); (5.87, 0.29)\n",
+ "Djimsiti (5.97, 0.39); (5.99, 0.40)\n",
+ "Caldara (5.73, 0.52); (5.66, 0.56)\n",
+ "Karsdorp (5.90, 0.40); (5.90, 0.40)\n",
+ "Marchizza (5.84, 0.38); (5.80, 0.37)\n",
+ "Kjaer (5.90, 0.38); (5.84, 0.35)\n",
+ "Okoli (5.75, 0.46); (5.71, 0.45)\n",
+ "Amione (5.67, 0.42); (5.60, 0.45)\n",
+ "Ruggeri (5.87, 0.33); (5.85, 0.28)\n",
+ "Zanoli (5.81, 0.37); (5.78, 0.34)\n",
+ "Wisniewski (5.88, 0.47); (5.91, 0.57)\n",
+ "Radovanovic (5.64, 0.40); (5.53, 0.39)\n",
+ "Dermaku (5.94, 0.45); (5.99, 0.53)\n",
+ "D'ambrosio (6.13, 0.37); (6.31, 0.52)\n",
+ "De Silvestri (5.90, 0.51); (6.04, 0.72)\n",
+ "Chiriches (5.76, 0.52); (5.70, 0.54)\n",
+ "Murru (5.64, 0.40); (5.58, 0.44)\n",
+ "Bonifazi (5.80, 0.42); (5.72, 0.41)\n",
+ "Donati (5.79, 0.44); (5.75, 0.47)\n",
+ "Walukiewicz (5.78, 0.39); (5.73, 0.38)\n",
+ "Ranieri L. (5.83, 0.43); (5.85, 0.55)\n",
+ "Gabbia (5.67, 0.47); (5.56, 0.47)\n",
+ "Kumbulla (5.92, 0.33); (5.90, 0.29)\n",
+ "Adopo (5.82, 0.31); (5.78, 0.27)\n",
+ "Pirola (5.60, 0.49); (5.49, 0.49)\n",
+ "Lovato (5.67, 0.54); (5.55, 0.52)\n",
+ "Tuia (5.83, 0.48); (5.89, 0.63)\n",
+ "Ferrer (5.84, 0.48); (5.85, 0.55)\n",
+ "Antov (5.75, 0.53); (5.71, 0.56)\n",
+ "Vasquez (5.79, 0.43); (5.72, 0.47)\n",
+ "Ruan (5.78, 0.51); (5.63, 0.47)\n",
+ "Ostigard (6.10, 0.34); (6.07, 0.35)\n",
+ "Coppola D. (5.74, 0.38); (5.64, 0.39)\n",
+ "Cacace (5.78, 0.40); (5.71, 0.37)\n",
+ "Gatti (5.89, 0.40); (5.85, 0.38)\n",
+ "Gila (5.90, 0.41); (5.88, 0.41)\n",
+ "Bayeye (5.95, 0.44); (6.00, 0.51)\n",
+ "Sambia (5.75, 0.43); (5.73, 0.44)\n",
+ "Moutinho J. (5.76, 0.44); (5.69, 0.47)\n",
+ "Conti (5.96, 0.45); (6.15, 0.68)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Ferrer (5.82, 0.47); (5.86, 0.51)\n",
- "Antov (5.72, 0.49); (5.73, 0.50)\n",
- "Vasquez (5.68, 0.42); (5.63, 0.42)\n",
- "Ruan (5.47, 0.47); (5.27, 0.38)\n",
- "Ostigard (6.03, 0.30); (6.03, 0.31)\n",
- "Coppola D. (5.70, 0.39); (5.61, 0.36)\n",
- "Cacace (5.71, 0.43); (5.65, 0.38)\n",
- "Gatti (5.92, 0.37); (5.93, 0.36)\n",
- "Gila (6.10, 0.42); (6.25, 0.48)\n",
- "Bayeye (5.98, 0.44); (6.09, 0.51)\n",
- "Sambia (5.82, 0.50); (5.89, 0.58)\n",
- "Moutinho J. (5.63, 0.37); (5.55, 0.36)\n",
- "Conti (5.92, 0.50); (6.26, 0.82)\n",
- "Marrone (5.57, 0.46); (5.50, 0.40)\n",
- "Tonelli (5.60, 0.43); (5.51, 0.36)\n",
- "Murillo (5.60, 0.33); (5.48, 0.28)\n",
- "Radu (6.07, 0.38); (6.23, 0.44)\n",
- "Paletta (5.84, 0.45); (5.89, 0.51)\n",
- "Florenzi (6.07, 0.33); (6.22, 0.45)\n",
- "Sala (5.69, 0.36); (5.69, 0.39)\n",
- "Fares (5.81, 0.33); (5.77, 0.33)\n",
- "Romagna (5.87, 0.45); (5.92, 0.51)\n",
- "Cassandro (5.95, 0.42); (6.03, 0.47)\n",
- "Muldur (5.76, 0.38); (5.71, 0.36)\n",
- "Amey (5.98, 0.41); (6.07, 0.48)\n",
- "Zanotti (5.95, 0.42); (6.05, 0.53)\n",
- "Ebosele (5.71, 0.38); (5.68, 0.37)\n",
- "Buta (5.94, 0.44); (6.02, 0.52)\n",
- "Abankwah (5.94, 0.44); (6.02, 0.52)\n",
- "Guessand A. (5.94, 0.44); (6.02, 0.52)\n",
- "Cabal (5.75, 0.48); (5.81, 0.55)\n",
- "Sosa (5.67, 0.48); (5.70, 0.51)\n",
- "Guarino (5.89, 0.44); (5.95, 0.49)\n",
- "Carboni F. (5.85, 0.35); (5.83, 0.36)\n",
- "Zaccagni (6.51, 0.67); (7.87, 2.15)\n",
- "Kvaratskhelia (6.55, 0.69); (8.09, 2.39)\n",
- "Milinkovic-Savic (6.43, 0.65); (7.49, 1.84)\n",
- "Barella (6.35, 0.60); (7.44, 1.72)\n",
- "Zielinski (6.39, 0.54); (7.13, 1.25)\n",
- "Luis Alberto (6.41, 0.57); (7.40, 1.58)\n",
- "Strefezza (6.36, 0.53); (7.12, 1.28)\n",
- "Felipe Anderson (6.33, 0.64); (7.43, 1.81)\n",
- "Koopmeiners (6.40, 0.65); (7.54, 1.86)\n",
- "Calhanoglu (6.29, 0.51); (7.01, 1.19)\n",
- "Frattesi (6.22, 0.65); (7.18, 1.66)\n",
- "Diaz B. (6.25, 0.60); (7.23, 1.57)\n",
- "Vlasic (6.18, 0.55); (6.89, 1.23)\n",
- "Zambo Anguissa (6.33, 0.54); (7.04, 1.20)\n",
- "Elmas (6.29, 0.53); (7.11, 1.33)\n",
- "Miranchuk (6.26, 0.58); (7.23, 1.55)\n",
- "Samardzic (6.25, 0.53); (7.09, 1.35)\n",
- "Pereyra (6.24, 0.56); (7.02, 1.34)\n",
- "Politano (6.24, 0.44); (6.74, 0.91)\n",
- "Rabiot (6.15, 0.59); (6.91, 1.36)\n",
- "Ciurria (6.17, 0.59); (7.06, 1.47)\n",
- "Lazovic (6.09, 0.54); (6.76, 1.14)\n",
- "Lobotka (6.17, 0.37); (6.58, 0.68)\n",
- "Radonjic (6.15, 0.47); (6.51, 0.78)\n",
- "Ferguson (6.19, 0.48); (6.74, 1.00)\n",
- "Bonaventura (6.12, 0.51); (6.74, 1.06)\n",
- "Pessina (6.05, 0.48); (6.49, 0.85)\n",
- "Tonali (6.14, 0.58); (6.84, 1.29)\n",
- "Kostic (6.09, 0.49); (6.65, 1.01)\n",
- "Baldanzi (6.32, 0.55); (7.29, 1.53)\n",
- "Lovric (6.14, 0.40); (6.57, 0.79)\n",
- "Pellegrini Lo. (6.12, 0.57); (6.87, 1.32)\n",
- "El Shaarawy (6.26, 0.53); (7.07, 1.34)\n",
- "Orsolini (6.22, 0.66); (7.19, 1.73)\n",
- "Ikone' (5.98, 0.53); (6.42, 0.91)\n",
- "Candreva (6.00, 0.52); (6.41, 0.91)\n",
- "Bennacer (6.08, 0.36); (6.37, 0.58)\n",
- "Pasalic (6.06, 0.55); (6.72, 1.18)\n",
- "Mkhitaryan (6.05, 0.45); (6.52, 0.88)\n",
- "Colpani (6.03, 0.42); (6.43, 0.81)\n",
- "Pogba (5.94, 0.42); (6.02, 0.48)\n",
- "Chiesa (6.17, 0.54); (6.78, 1.15)\n",
- "Bandinelli (5.94, 0.45); (6.32, 0.79)\n",
- "Matic (6.11, 0.38); (6.41, 0.60)\n",
- "Fagioli (6.09, 0.52); (6.77, 1.16)\n",
- "Messias (6.00, 0.53); (6.52, 1.00)\n",
- "Arslan (5.99, 0.34); (6.16, 0.50)\n",
- "Ricci S. (6.16, 0.43); (6.60, 0.80)\n",
- "Ranocchia F. (6.08, 0.44); (6.54, 0.86)\n",
- "Verdi (6.08, 0.39); (6.40, 0.67)\n",
- "Sensi (5.99, 0.50); (6.28, 0.78)\n",
- "Barak (5.83, 0.42); (6.07, 0.66)\n",
- "Soriano (5.97, 0.31); (6.04, 0.38)\n",
- "Dominguez (6.09, 0.43); (6.38, 0.71)\n",
- "Vilhena (5.79, 0.51); (6.22, 0.91)\n",
- "Brozovic (6.13, 0.39); (6.48, 0.68)\n",
- "Cristante (5.92, 0.38); (6.00, 0.48)\n",
- "Thorstvedt (5.87, 0.44); (6.10, 0.67)\n",
- "De Ketelaere (5.87, 0.37); (6.00, 0.52)\n",
- "Saponara (6.02, 0.52); (6.48, 0.94)\n",
- "Vecino (5.94, 0.40); (6.05, 0.51)\n",
- "Locatelli (6.03, 0.32); (6.06, 0.34)\n",
- "Zaniolo (5.84, 0.46); (6.10, 0.73)\n",
- "Duda (5.91, 0.41); (5.97, 0.48)\n",
- "Maldini (5.93, 0.45); (6.35, 0.85)\n",
- "Marin (5.83, 0.53); (6.13, 0.89)\n",
- "Zalewski (5.99, 0.30); (6.07, 0.37)\n",
- "Bajrami (5.80, 0.47); (6.09, 0.74)\n",
- "Coulibaly L. (5.81, 0.52); (6.04, 0.81)\n",
- "Gonzalez J. (6.03, 0.44); (6.37, 0.74)\n",
- "De Roon (5.99, 0.32); (5.96, 0.30)\n",
- "Mandragora (5.92, 0.40); (6.07, 0.57)\n",
- "Wijnaldum (5.94, 0.41); (5.99, 0.44)\n",
- "Bourabia (5.88, 0.36); (5.87, 0.39)\n",
- "Sottil (6.07, 0.54); (6.66, 1.08)\n",
- "Aebischer (5.92, 0.42); (6.26, 0.74)\n",
- "Ederson D.s. (5.88, 0.42); (6.06, 0.62)\n",
- "Miretti (5.91, 0.32); (5.97, 0.38)\n",
- "Blin (5.99, 0.27); (5.97, 0.27)\n",
- "Hjulmand (6.05, 0.49); (6.24, 0.60)\n",
- "Cataldi (5.99, 0.30); (5.95, 0.27)\n",
- "Djuricic (5.64, 0.47); (5.99, 0.74)\n",
- "Linetty (5.88, 0.45); (6.17, 0.73)\n",
- "Haas (5.87, 0.39); (6.13, 0.65)\n",
- "Walace (5.92, 0.32); (5.89, 0.30)\n",
- "Agudelo (5.79, 0.32); (5.87, 0.41)\n",
- "Pobega (5.98, 0.46); (6.38, 0.82)\n",
- "Camara Ma. (6.12, 0.35); (6.24, 0.43)\n",
- "Paredes (5.79, 0.32); (5.70, 0.29)\n",
- "Ndombele' (5.95, 0.25); (5.91, 0.24)\n",
- "Nicolussi Caviglia (6.01, 0.48); (6.36, 0.78)\n",
- "Rovella (5.98, 0.44); (6.09, 0.53)\n",
- "Amrabat (5.88, 0.43); (5.89, 0.47)\n",
- "Tameze (5.84, 0.39); (5.86, 0.45)\n",
- "Gyasi (5.66, 0.50); (6.09, 0.83)\n",
- "Ilic (5.96, 0.41); (6.02, 0.45)\n",
- "Matheus Henrique (5.86, 0.42); (6.01, 0.59)\n",
- "Harroui (5.80, 0.38); (5.95, 0.56)\n",
- "Volpato (6.08, 0.53); (6.66, 1.09)\n",
- "Pickel (5.75, 0.36); (5.83, 0.48)\n",
- "Moro N. (5.95, 0.28); (5.99, 0.32)\n",
- "Duncan (5.88, 0.33); (5.90, 0.40)\n",
- "Machin (5.83, 0.44); (5.88, 0.53)\n",
- "Cuadrado (5.98, 0.46); (6.17, 0.61)\n",
- "Ekdal (5.81, 0.29); (5.73, 0.27)\n",
- "Meite' (5.76, 0.45); (5.85, 0.58)\n",
- "Schouten (5.93, 0.32); (5.90, 0.30)\n",
- "Obiang (5.91, 0.27); (5.90, 0.27)\n",
- "Kovalenko (5.90, 0.34); (6.01, 0.46)\n",
- "Crnigoj (5.91, 0.43); (6.17, 0.67)\n",
- "Basic (5.96, 0.27); (5.97, 0.31)\n",
- "Asllani (5.97, 0.26); (5.96, 0.27)\n",
- "Sabiri (5.71, 0.44); (5.92, 0.66)\n",
- "Terracciano F. (5.99, 0.27); (6.05, 0.34)\n",
- "Castagnetti (5.90, 0.25); (5.87, 0.25)\n",
- "Oudin (5.85, 0.30); (5.85, 0.32)\n",
- "Grassi (5.92, 0.29); (5.88, 0.26)\n",
- "Krunic (5.93, 0.32); (5.93, 0.34)\n",
- "Rincon (5.66, 0.40); (5.61, 0.41)\n",
- "Miguel Veloso (5.92, 0.32); (5.90, 0.34)\n",
- "Leris (5.68, 0.37); (5.71, 0.47)\n",
- "Esposito Sa. (5.83, 0.49); (5.93, 0.61)\n",
- "Henderson L. (5.84, 0.36); (5.95, 0.47)\n",
- "Lopez M. (5.89, 0.36); (5.87, 0.39)\n",
- "Cuisance (5.69, 0.35); (5.66, 0.39)\n",
- "Saelemaekers (5.90, 0.38); (6.06, 0.55)\n",
- "Maggiore (5.88, 0.35); (5.99, 0.48)\n",
- "Akpa Akpro (5.87, 0.44); (5.92, 0.50)\n",
- "Maleh (5.94, 0.36); (6.13, 0.57)\n",
- "Romero L. (6.09, 0.55); (6.71, 1.18)\n",
- "Ceide (5.92, 0.33); (5.95, 0.34)\n",
- "D'alessandro (5.99, 0.28); (6.06, 0.34)\n",
- "Benassi (5.77, 0.31); (5.82, 0.36)\n",
- "Gagliardini (5.88, 0.25); (5.85, 0.27)\n",
- "Vieira (5.66, 0.40); (5.73, 0.51)\n",
- "Bianco (5.95, 0.35); (5.97, 0.38)\n",
- "Vranckx (6.01, 0.39); (6.04, 0.38)\n",
- "Galdames (5.87, 0.44); (5.97, 0.56)\n",
- "Marcos Antonio (5.96, 0.23); (5.92, 0.22)\n",
- "Fazzini (5.78, 0.29); (5.70, 0.27)\n",
- "Sulemana I. (5.84, 0.28); (5.85, 0.31)\n",
- "Tahirovic (5.98, 0.27); (5.95, 0.26)\n",
- "Abildgaard (5.88, 0.42); (5.95, 0.52)\n",
- "Barberis (5.68, 0.37); (5.66, 0.38)\n",
- "Kastanos (5.82, 0.30); (5.79, 0.31)\n",
- "Vignato (5.90, 0.29); (5.89, 0.29)\n",
- "Valoti (5.82, 0.32); (5.73, 0.31)\n",
- "Winks (5.86, 0.49); (5.95, 0.59)\n",
- "Askildsen (5.65, 0.29); (5.66, 0.34)\n",
- "Bove (6.00, 0.35); (6.05, 0.38)\n",
- "Bohinen (5.75, 0.27); (5.64, 0.26)\n",
- "D'andrea (5.98, 0.36); (6.17, 0.52)\n",
- "Iling-Junior (5.96, 0.32); (5.94, 0.31)\n",
- "Cipot (5.80, 0.42); (5.87, 0.52)\n",
- "Bakayoko (5.80, 0.36); (5.69, 0.33)\n",
- "Gaetano (6.00, 0.34); (6.04, 0.37)\n",
- "Zurkowski (6.03, 0.54); (6.57, 1.06)\n",
- "Castrovilli (6.03, 0.47); (6.47, 0.86)\n",
- "Demme (6.03, 0.37); (6.26, 0.58)\n",
- "Darboe (5.92, 0.41); (5.94, 0.42)\n",
- "Urbanski (5.94, 0.37); (5.98, 0.42)\n",
- "Bertini (5.97, 0.42); (6.08, 0.49)\n",
- "Yepes (5.64, 0.42); (5.59, 0.40)\n",
- "Pyyhtia (5.94, 0.51); (6.11, 0.66)\n",
- "Trimboli (5.84, 0.44); (5.90, 0.52)\n",
- "Pafundi (5.92, 0.44); (5.99, 0.51)\n",
- "Helgason (5.70, 0.34); (5.67, 0.35)\n",
- "Adli (5.84, 0.35); (5.85, 0.42)\n",
- "Vignato S. (5.89, 0.32); (5.85, 0.32)\n",
- "Hrustic (5.72, 0.30); (5.67, 0.29)\n",
- "Samek (5.94, 0.42); (6.01, 0.48)\n",
- "Zerbin (6.01, 0.34); (6.05, 0.38)\n",
- "Ilkhan (5.78, 0.47); (5.81, 0.52)\n",
- "Degli Innocenti (5.84, 0.47); (5.90, 0.55)\n",
- "Acella (5.87, 0.44); (5.97, 0.56)\n",
- "Carboni V. (5.96, 0.38); (6.02, 0.44)\n",
- "Paoletti (5.99, 0.41); (6.01, 0.41)\n",
- "Malagrida (5.87, 0.42); (5.92, 0.49)\n",
- "Faticanti (5.91, 0.43); (5.97, 0.49)\n",
- "Osimhen (6.54, 0.71); (8.26, 2.71)\n",
- "Martinez L. (6.46, 0.71); (7.87, 2.29)\n",
- "Dybala (6.51, 0.69); (7.96, 2.30)\n",
- "Rafael Leao (6.43, 0.72); (7.84, 2.34)\n",
- "Lookman (6.50, 0.70); (8.07, 2.46)\n",
- "Immobile (6.46, 0.72); (7.93, 2.41)\n",
- "Vlahovic (6.34, 0.73); (7.66, 2.19)\n",
- "Arnautovic (6.36, 0.69); (7.63, 2.06)\n",
- "Dia (6.26, 0.72); (7.52, 2.07)\n",
- "Dzeko (6.34, 0.70); (7.60, 2.07)\n",
- "Milik (6.36, 0.63); (7.58, 1.94)\n",
- "Nzola (6.23, 0.71); (7.53, 2.08)\n",
- "Beto (6.18, 0.64); (7.23, 1.69)\n",
- "Giroud (6.25, 0.69); (7.38, 1.89)\n",
- "Abraham (6.30, 0.68); (7.41, 1.87)\n",
- "Deulofeu (6.39, 0.65); (7.59, 1.95)\n",
- "Lauriente' (6.32, 0.69); (7.51, 2.01)\n"
+ "Marrone (5.60, 0.44); (5.50, 0.45)\n",
+ "Tonelli (5.75, 0.45); (5.66, 0.43)\n",
+ "Murillo (5.63, 0.35); (5.53, 0.33)\n",
+ "Radu (6.08, 0.36); (5.94, 0.30)\n",
+ "Paletta (5.89, 0.47); (5.96, 0.59)\n",
+ "Florenzi (6.15, 0.44); (6.40, 0.63)\n",
+ "Sala (5.85, 0.37); (5.86, 0.39)\n",
+ "Fares (5.81, 0.39); (5.80, 0.42)\n",
+ "Romagna (5.88, 0.48); (5.88, 0.55)\n",
+ "Cassandro (5.94, 0.45); (6.00, 0.54)\n",
+ "Muldur (5.75, 0.43); (5.67, 0.44)\n",
+ "Amey (6.02, 0.45); (6.13, 0.55)\n",
+ "Zanotti (5.93, 0.45); (6.00, 0.54)\n",
+ "Ebosele (5.99, 0.34); (6.02, 0.34)\n",
+ "Buta (5.94, 0.45); (6.01, 0.56)\n",
+ "Abankwah (5.94, 0.45); (6.01, 0.56)\n",
+ "Guessand A. (5.94, 0.45); (6.01, 0.56)\n",
+ "Cabal (5.88, 0.48); (5.91, 0.57)\n",
+ "Sosa (5.77, 0.48); (5.76, 0.56)\n",
+ "Guarino (5.89, 0.46); (5.92, 0.53)\n",
+ "Carboni F. (5.93, 0.46); (6.01, 0.54)\n",
+ "Zaccagni (6.44, 0.66); (7.42, 1.59)\n",
+ "Kvaratskhelia (6.57, 0.72); (7.58, 1.69)\n",
+ "Milinkovic-Savic (6.28, 0.61); (7.10, 1.39)\n",
+ "Barella (6.29, 0.58); (7.02, 1.24)\n",
+ "Zielinski (6.34, 0.55); (7.00, 1.10)\n",
+ "Luis Alberto (6.33, 0.53); (7.07, 1.15)\n",
+ "Strefezza (6.33, 0.50); (7.15, 1.19)\n",
+ "Felipe Anderson (6.20, 0.61); (7.07, 1.43)\n",
+ "Koopmeiners (6.26, 0.60); (7.06, 1.35)\n",
+ "Calhanoglu (6.27, 0.50); (6.81, 0.95)\n",
+ "Frattesi (6.18, 0.62); (6.92, 1.32)\n",
+ "Diaz B. (6.21, 0.63); (6.95, 1.31)\n",
+ "Vlasic (6.18, 0.57); (6.83, 1.16)\n",
+ "Zambo Anguissa (6.32, 0.55); (6.90, 1.04)\n",
+ "Elmas (6.25, 0.53); (6.89, 1.06)\n",
+ "Miranchuk (6.27, 0.59); (7.02, 1.26)\n",
+ "Samardzic (6.19, 0.57); (6.84, 1.15)\n",
+ "Pereyra (6.18, 0.55); (6.74, 1.06)\n",
+ "Politano (6.24, 0.45); (6.80, 0.91)\n",
+ "Rabiot (6.16, 0.57); (6.71, 1.08)\n",
+ "Ciurria (6.07, 0.59); (6.68, 1.18)\n",
+ "Lazovic (6.16, 0.55); (6.71, 1.03)\n",
+ "Lobotka (6.20, 0.38); (6.56, 0.70)\n",
+ "Radonjic (6.16, 0.48); (6.65, 0.88)\n",
+ "Ferguson (6.20, 0.48); (6.73, 0.93)\n",
+ "Bonaventura (6.14, 0.50); (6.57, 0.86)\n",
+ "Pessina (6.17, 0.56); (6.72, 1.05)\n",
+ "Tonali (6.10, 0.58); (6.57, 1.05)\n",
+ "Kostic (6.17, 0.53); (6.69, 0.96)\n",
+ "Baldanzi (6.31, 0.53); (7.11, 1.20)\n",
+ "Lovric (6.12, 0.41); (6.50, 0.71)\n",
+ "Pellegrini Lo. (6.10, 0.59); (6.68, 1.17)\n",
+ "El Shaarawy (6.24, 0.49); (6.90, 1.04)\n",
+ "Orsolini (6.23, 0.67); (7.12, 1.56)\n",
+ "Ikone' (6.03, 0.57); (6.49, 1.02)\n",
+ "Candreva (5.88, 0.57); (6.14, 0.84)\n",
+ "Bennacer (6.12, 0.42); (6.37, 0.60)\n",
+ "Pasalic (6.08, 0.59); (6.68, 1.17)\n",
+ "Mkhitaryan (6.02, 0.46); (6.39, 0.78)\n",
+ "Colpani (5.99, 0.43); (6.43, 0.82)\n",
+ "Pogba (5.97, 0.44); (6.05, 0.52)\n",
+ "Chiesa (6.17, 0.53); (6.62, 0.92)\n",
+ "Bandinelli (5.98, 0.44); (6.19, 0.65)\n",
+ "Matic (6.16, 0.40); (6.48, 0.66)\n",
+ "Fagioli (6.18, 0.52); (6.69, 0.95)\n",
+ "Messias (5.97, 0.54); (6.41, 0.98)\n",
+ "Arslan (5.97, 0.38); (6.11, 0.48)\n",
+ "Ricci S. (6.17, 0.42); (6.45, 0.66)\n",
+ "Ranocchia F. (6.07, 0.45); (6.48, 0.79)\n",
+ "Verdi (6.10, 0.41); (6.45, 0.68)\n",
+ "Sensi (5.99, 0.58); (6.36, 0.97)\n",
+ "Barak (5.86, 0.45); (6.03, 0.67)\n",
+ "Soriano (6.02, 0.38); (6.17, 0.51)\n",
+ "Dominguez (6.18, 0.53); (6.69, 1.00)\n",
+ "Vilhena (5.87, 0.50); (6.08, 0.76)\n",
+ "Brozovic (6.18, 0.46); (6.56, 0.77)\n",
+ "Cristante (5.98, 0.43); (6.12, 0.57)\n",
+ "Thorstvedt (5.92, 0.46); (6.11, 0.68)\n",
+ "De Ketelaere (5.87, 0.40); (6.00, 0.54)\n",
+ "Saponara (6.07, 0.57); (6.58, 1.05)\n",
+ "Vecino (5.95, 0.44); (6.09, 0.59)\n",
+ "Locatelli (6.07, 0.37); (6.14, 0.42)\n",
+ "Zaniolo (5.91, 0.50); (6.16, 0.79)\n",
+ "Duda (6.02, 0.46); (6.15, 0.59)\n",
+ "Maldini (5.94, 0.45); (6.25, 0.72)\n",
+ "Marin (5.90, 0.53); (6.08, 0.76)\n",
+ "Zalewski (6.06, 0.35); (6.13, 0.40)\n",
+ "Bajrami (6.21, 0.58); (6.85, 1.16)\n",
+ "Coulibaly L. (5.83, 0.56); (6.03, 0.77)\n",
+ "Gonzalez J. (6.07, 0.46); (6.40, 0.76)\n",
+ "De Roon (6.03, 0.37); (6.08, 0.41)\n",
+ "Mandragora (5.93, 0.46); (6.08, 0.68)\n",
+ "Wijnaldum (5.91, 0.47); (5.98, 0.57)\n",
+ "Bourabia (5.91, 0.41); (5.94, 0.46)\n",
+ "Sottil (6.09, 0.58); (6.56, 1.03)\n",
+ "Aebischer (5.99, 0.45); (6.25, 0.70)\n",
+ "Ederson D.s. (5.88, 0.44); (6.04, 0.64)\n",
+ "Miretti (5.98, 0.38); (6.10, 0.44)\n",
+ "Blin (6.02, 0.33); (6.00, 0.31)\n",
+ "Hjulmand (5.98, 0.54); (6.09, 0.63)\n",
+ "Cataldi (6.02, 0.38); (6.03, 0.39)\n",
+ "Djuricic (5.82, 0.46); (5.94, 0.65)\n",
+ "Linetty (5.97, 0.43); (6.14, 0.62)\n",
+ "Haas (5.92, 0.41); (6.08, 0.58)\n",
+ "Walace (5.93, 0.38); (5.93, 0.40)\n",
+ "Agudelo (5.86, 0.36); (5.91, 0.42)\n",
+ "Pobega (5.99, 0.44); (6.28, 0.70)\n",
+ "Camara Ma. (6.13, 0.35); (6.18, 0.42)\n",
+ "Paredes (5.85, 0.35); (5.83, 0.31)\n",
+ "Ndombele' (5.96, 0.34); (5.94, 0.30)\n",
+ "Nicolussi Caviglia (5.76, 0.56); (5.92, 0.79)\n",
+ "Rovella (5.92, 0.48); (5.94, 0.48)\n",
+ "Amrabat (5.89, 0.44); (5.88, 0.48)\n",
+ "Tameze (5.91, 0.41); (5.94, 0.48)\n",
+ "Gyasi (5.88, 0.51); (6.07, 0.77)\n",
+ "Ilic (6.01, 0.45); (6.13, 0.56)\n",
+ "Matheus Henrique (5.94, 0.44); (6.07, 0.59)\n",
+ "Harroui (5.88, 0.42); (6.03, 0.59)\n",
+ "Volpato (6.05, 0.56); (6.58, 1.09)\n",
+ "Pickel (5.79, 0.38); (5.81, 0.47)\n",
+ "Moro N. (6.03, 0.34); (6.11, 0.40)\n",
+ "Duncan (5.92, 0.41); (6.05, 0.58)\n",
+ "Machin (5.91, 0.47); (6.02, 0.63)\n",
+ "Cuadrado (5.95, 0.48); (6.05, 0.57)\n",
+ "Ekdal (5.84, 0.37); (5.81, 0.38)\n",
+ "Meite' (5.85, 0.46); (5.88, 0.59)\n",
+ "Schouten (5.99, 0.40); (6.02, 0.44)\n",
+ "Obiang (5.98, 0.33); (5.98, 0.31)\n",
+ "Kovalenko (5.92, 0.39); (6.01, 0.50)\n",
+ "Crnigoj (5.93, 0.44); (6.13, 0.64)\n",
+ "Basic (5.98, 0.33); (6.05, 0.35)\n",
+ "Asllani (5.96, 0.33); (5.99, 0.32)\n",
+ "Sabiri (5.85, 0.46); (5.99, 0.66)\n",
+ "Terracciano F. (6.06, 0.32); (6.09, 0.34)\n",
+ "Castagnetti (5.87, 0.32); (5.87, 0.27)\n",
+ "Oudin (5.87, 0.34); (5.92, 0.33)\n",
+ "Grassi (5.92, 0.35); (5.91, 0.32)\n",
+ "Krunic (5.93, 0.40); (6.02, 0.49)\n",
+ "Rincon (5.80, 0.40); (5.76, 0.45)\n",
+ "Miguel Veloso (5.95, 0.37); (5.97, 0.38)\n",
+ "Leris (5.78, 0.40); (5.79, 0.51)\n",
+ "Esposito Sa. (5.83, 0.52); (5.90, 0.61)\n",
+ "Henderson L. (5.92, 0.39); (6.03, 0.49)\n",
+ "Lopez M. (5.90, 0.44); (5.89, 0.49)\n",
+ "Cuisance (5.79, 0.37); (5.75, 0.39)\n",
+ "Saelemaekers (5.85, 0.40); (5.97, 0.52)\n",
+ "Maggiore (5.93, 0.40); (6.05, 0.51)\n",
+ "Akpa Akpro (5.91, 0.46); (5.95, 0.56)\n",
+ "Maleh (5.97, 0.39); (6.17, 0.56)\n",
+ "Romero L. (6.20, 0.52); (6.80, 1.04)\n",
+ "Ceide (5.87, 0.36); (5.88, 0.36)\n",
+ "D'alessandro (6.06, 0.33); (6.15, 0.39)\n",
+ "Benassi (5.80, 0.34); (5.81, 0.35)\n",
+ "Gagliardini (5.84, 0.32); (5.86, 0.32)\n",
+ "Vieira (5.86, 0.35); (5.85, 0.42)\n",
+ "Bianco (6.03, 0.42); (6.15, 0.53)\n",
+ "Vranckx (6.07, 0.39); (6.25, 0.50)\n",
+ "Galdames (5.90, 0.47); (5.98, 0.64)\n",
+ "Marcos Antonio (5.94, 0.30); (5.91, 0.24)\n",
+ "Fazzini (5.79, 0.33); (5.73, 0.30)\n",
+ "Sulemana I. (5.87, 0.32); (5.86, 0.32)\n",
+ "Tahirovic (6.00, 0.30); (5.99, 0.27)\n",
+ "Abildgaard (5.90, 0.44); (5.93, 0.55)\n",
+ "Barberis (5.87, 0.49); (5.91, 0.57)\n",
+ "Kastanos (5.80, 0.33); (5.80, 0.32)\n",
+ "Vignato (5.95, 0.36); (5.98, 0.35)\n",
+ "Valoti (5.77, 0.33); (5.71, 0.32)\n",
+ "Winks (5.88, 0.45); (5.89, 0.51)\n",
+ "Askildsen (5.74, 0.33); (5.69, 0.32)\n",
+ "Bove (5.75, 0.37); (5.73, 0.41)\n",
+ "Bohinen (5.75, 0.31); (5.71, 0.26)\n",
+ "D'andrea (5.97, 0.39); (6.10, 0.50)\n",
+ "Iling-Junior (6.06, 0.36); (6.19, 0.45)\n",
+ "Cipot (5.87, 0.52); (6.00, 0.70)\n",
+ "Bakayoko (5.81, 0.39); (5.78, 0.36)\n",
+ "Gaetano (6.00, 0.42); (6.08, 0.51)\n",
+ "Zurkowski (6.12, 0.55); (6.66, 1.08)\n",
+ "Castrovilli (6.00, 0.46); (6.28, 0.72)\n",
+ "Demme (6.03, 0.37); (6.20, 0.48)\n",
+ "Darboe (5.95, 0.46); (5.98, 0.49)\n",
+ "Urbanski (5.98, 0.46); (6.09, 0.59)\n",
+ "Bertini (5.97, 0.45); (6.08, 0.56)\n",
+ "Yepes (5.79, 0.55); (5.79, 0.61)\n",
+ "Pyyhtia (6.00, 0.39); (6.07, 0.46)\n",
+ "Trimboli (5.88, 0.46); (5.92, 0.58)\n",
+ "Pafundi (5.95, 0.45); (6.04, 0.57)\n",
+ "Helgason (5.82, 0.32); (5.82, 0.28)\n",
+ "Adli (5.92, 0.40); (6.02, 0.52)\n",
+ "Vignato S. (6.04, 0.45); (6.18, 0.57)\n",
+ "Hrustic (5.75, 0.37); (5.72, 0.37)\n",
+ "Samek (5.96, 0.45); (6.05, 0.57)\n",
+ "Zerbin (6.05, 0.42); (6.19, 0.53)\n",
+ "Ilkhan (5.92, 0.49); (5.99, 0.57)\n",
+ "Degli Innocenti (5.90, 0.45); (5.94, 0.53)\n",
+ "Acella (5.90, 0.47); (5.98, 0.64)\n",
+ "Carboni V. (5.89, 0.47); (5.97, 0.59)\n",
+ "Paoletti (6.03, 0.40); (6.10, 0.45)\n",
+ "Malagrida (5.90, 0.46); (5.95, 0.58)\n",
+ "Faticanti (5.96, 0.45); (6.05, 0.56)\n",
+ "Osimhen (6.49, 0.75); (7.89, 2.22)\n",
+ "Martinez L. (6.32, 0.71); (7.68, 2.04)\n",
+ "Dybala (6.49, 0.67); (7.48, 1.61)\n",
+ "Rafael Leao (6.32, 0.71); (7.44, 1.82)\n",
+ "Lookman (6.40, 0.72); (7.68, 2.00)\n",
+ "Immobile (6.30, 0.71); (7.65, 2.02)\n",
+ "Vlahovic (6.29, 0.72); (7.73, 2.12)\n",
+ "Arnautovic (6.21, 0.67); (7.33, 1.73)\n",
+ "Dia (6.12, 0.68); (7.25, 1.73)\n",
+ "Dzeko (6.20, 0.67); (7.31, 1.71)\n",
+ "Milik (6.29, 0.62); (7.19, 1.48)\n",
+ "Nzola (6.11, 0.66); (7.22, 1.69)\n",
+ "Beto (6.06, 0.61); (6.94, 1.42)\n",
+ "Giroud (6.13, 0.65); (6.97, 1.45)\n",
+ "Abraham (6.19, 0.65); (7.28, 1.69)\n",
+ "Deulofeu (6.30, 0.64); (7.19, 1.48)\n",
+ "Lauriente' (6.28, 0.68); (7.19, 1.59)\n",
+ "Simeone (6.25, 0.70); (7.47, 1.86)\n",
+ "Lozano (6.15, 0.59); (6.89, 1.27)\n",
+ "Correa (6.11, 0.50); (6.81, 1.10)\n",
+ "Berardi (6.28, 0.71); (7.53, 1.94)\n",
+ "Pedro (6.20, 0.57); (6.86, 1.19)\n",
+ "Lukaku (5.96, 0.56); (6.48, 1.04)\n",
+ "Sanabria (6.01, 0.58); (6.58, 1.11)\n",
+ "Thauvin (6.38, 0.65); (7.30, 1.52)\n",
+ "Cabral (6.01, 0.57); (6.57, 1.10)\n",
+ "Hojlund (6.07, 0.62); (6.88, 1.38)\n",
+ "Caprari (5.99, 0.54); (6.51, 1.03)\n",
+ "Di Maria (6.26, 0.67); (7.21, 1.61)\n",
+ "Piatek (5.89, 0.54); (6.34, 0.96)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Simeone (6.41, 0.68); (7.76, 2.14)\n",
- "Lozano (6.29, 0.58); (7.26, 1.57)\n",
- "Correa (6.16, 0.48); (6.85, 1.20)\n",
- "Berardi (6.41, 0.72); (7.77, 2.28)\n",
- "Pedro (6.22, 0.56); (7.05, 1.41)\n",
- "Lukaku (6.02, 0.58); (6.74, 1.26)\n",
- "Sanabria (6.12, 0.57); (6.89, 1.33)\n",
- "Thauvin (6.44, 0.65); (7.75, 2.08)\n",
- "Cabral (6.02, 0.56); (6.67, 1.17)\n",
- "Hojlund (6.21, 0.63); (7.29, 1.72)\n",
- "Caprari (6.03, 0.54); (6.61, 1.08)\n",
- "Di Maria (6.38, 0.67); (7.48, 1.91)\n",
- "Piatek (6.03, 0.62); (7.01, 1.56)\n",
- "Rebic (6.16, 0.66); (7.21, 1.73)\n",
- "Bonazzoli (6.01, 0.50); (6.58, 1.03)\n",
- "Zapata D. (6.00, 0.53); (6.51, 1.01)\n",
- "Kouame' (6.04, 0.56); (6.65, 1.13)\n",
- "Gonzalez N. (6.30, 0.64); (7.35, 1.79)\n",
- "Brekalo (6.07, 0.57); (6.80, 1.27)\n",
- "Mota (6.15, 0.65); (7.18, 1.68)\n",
- "Kean (6.10, 0.60); (6.92, 1.43)\n",
- "Okereke (5.98, 0.56); (6.61, 1.13)\n",
- "Ceesay (5.99, 0.48); (6.45, 0.91)\n",
- "Colombo (6.13, 0.58); (6.96, 1.41)\n",
- "Dessers (5.99, 0.49); (6.46, 0.93)\n",
- "Muriel (6.28, 0.66); (7.34, 1.83)\n",
- "Pinamonti (5.88, 0.55); (6.47, 1.08)\n",
- "Di Francesco F. (6.01, 0.50); (6.46, 0.92)\n",
- "Jovic (5.81, 0.56); (6.39, 1.05)\n",
- "Origi (5.97, 0.57); (6.54, 1.09)\n",
- "Caputo (6.11, 0.60); (6.97, 1.44)\n",
- "Boga (6.49, 0.64); (7.74, 1.98)\n",
- "Cambiaghi (6.09, 0.48); (6.58, 0.92)\n",
- "Alvarez A. (6.00, 0.55); (6.65, 1.16)\n",
- "Banda (6.01, 0.39); (6.24, 0.60)\n",
- "Ciofani D. (6.05, 0.52); (6.74, 1.18)\n",
- "Petagna (5.74, 0.46); (6.02, 0.70)\n",
- "Barrow (5.99, 0.57); (6.78, 1.32)\n",
- "Djuric (5.96, 0.38); (6.18, 0.63)\n",
- "Henry (5.83, 0.52); (6.31, 0.94)\n",
- "Success (5.97, 0.31); (6.04, 0.45)\n",
- "Gabbiadini (5.76, 0.53); (6.30, 0.97)\n",
- "Zirkzee (6.04, 0.49); (6.57, 1.02)\n",
- "Lammers (5.71, 0.43); (5.95, 0.61)\n",
- "Satriano (5.85, 0.42); (6.09, 0.65)\n",
- "Kallon (5.87, 0.44); (6.20, 0.74)\n",
- "Nestorovski (6.11, 0.41); (6.54, 0.87)\n",
- "Raspadori (6.08, 0.46); (6.55, 0.92)\n",
- "Botheim (5.82, 0.47); (6.19, 0.79)\n",
- "Gytkjaer (5.81, 0.43); (6.12, 0.71)\n",
- "Solbakken (5.99, 0.40); (6.11, 0.50)\n",
- "Lasagna (5.73, 0.45); (5.98, 0.65)\n",
- "Belotti (5.70, 0.31); (5.76, 0.36)\n",
- "Pellegri (5.86, 0.42); (6.18, 0.71)\n",
- "Buonaiuto (5.94, 0.37); (6.11, 0.54)\n",
- "Verde (6.03, 0.50); (6.58, 1.00)\n",
- "Destro (5.98, 0.60); (6.81, 1.38)\n",
- "Seck (6.04, 0.31); (6.15, 0.40)\n",
- "Sansone (5.90, 0.46); (6.25, 0.79)\n",
- "Quagliarella (5.77, 0.38); (5.94, 0.55)\n",
- "Defrel (5.74, 0.47); (6.05, 0.73)\n",
- "Pjaca (5.86, 0.41); (6.02, 0.55)\n",
- "Gaich (5.72, 0.53); (6.23, 0.92)\n",
- "Soule' (6.09, 0.31); (6.23, 0.43)\n",
- "Tsadjout (5.85, 0.46); (6.17, 0.77)\n",
- "Piccoli (5.81, 0.27); (5.82, 0.33)\n",
- "Shomurodov (5.95, 0.47); (6.37, 0.87)\n",
- "Afena-Gyan (5.61, 0.34); (5.71, 0.43)\n",
- "Ngonge (5.85, 0.42); (5.96, 0.55)\n",
- "Karamoh (5.88, 0.34); (5.93, 0.40)\n",
- "Ibrahimovic (6.38, 0.65); (7.77, 2.11)\n",
- "Pussetto (5.77, 0.50); (6.20, 0.86)\n",
- "Cancellieri (5.82, 0.25); (5.83, 0.28)\n",
- "Valencia D. (5.77, 0.28); (5.82, 0.38)\n",
- "Oddei (5.89, 0.38); (5.90, 0.42)\n",
- "Braaf (5.76, 0.50); (6.15, 0.85)\n",
- "Raimondo (5.93, 0.39); (6.02, 0.50)\n",
- "Kaio Jorge (5.86, 0.28); (5.89, 0.32)\n",
- "De Luca (5.79, 0.46); (5.94, 0.62)\n",
- "Voelkerling Persson (5.99, 0.37); (6.10, 0.45)\n",
- "Montevago (5.70, 0.41); (5.77, 0.46)\n",
- "Krollis (5.81, 0.44); (5.97, 0.63)\n",
- "Vivaldo (5.91, 0.43); (6.01, 0.56)\n"
+ "Rebic (6.19, 0.67); (6.98, 1.46)\n",
+ "Bonazzoli (6.01, 0.50); (6.43, 0.88)\n",
+ "Zapata D. (5.89, 0.50); (6.25, 0.84)\n",
+ "Kouame' (6.01, 0.58); (6.51, 1.07)\n",
+ "Gonzalez N. (6.23, 0.62); (7.02, 1.36)\n",
+ "Brekalo (6.05, 0.58); (6.64, 1.14)\n",
+ "Mota (6.07, 0.63); (6.87, 1.38)\n",
+ "Kean (6.06, 0.62); (6.74, 1.27)\n",
+ "Okereke (5.95, 0.55); (6.41, 1.00)\n",
+ "Ceesay (5.99, 0.49); (6.46, 0.90)\n",
+ "Colombo (6.06, 0.60); (6.68, 1.20)\n",
+ "Dessers (5.95, 0.50); (6.38, 0.91)\n",
+ "Muriel (6.12, 0.63); (6.76, 1.28)\n",
+ "Pinamonti (5.90, 0.55); (6.37, 0.99)\n",
+ "Di Francesco F. (6.05, 0.52); (6.45, 0.91)\n",
+ "Jovic (5.96, 0.56); (6.37, 0.98)\n",
+ "Origi (5.96, 0.56); (6.39, 0.99)\n",
+ "Caputo (6.01, 0.59); (6.72, 1.26)\n",
+ "Boga (6.42, 0.65); (7.26, 1.40)\n",
+ "Cambiaghi (6.10, 0.48); (6.53, 0.84)\n",
+ "Alvarez A. (6.03, 0.56); (6.50, 1.03)\n",
+ "Banda (5.99, 0.39); (6.18, 0.53)\n",
+ "Ciofani D. (5.98, 0.52); (6.44, 0.96)\n",
+ "Petagna (5.97, 0.56); (6.46, 1.03)\n",
+ "Barrow (6.05, 0.60); (6.58, 1.12)\n",
+ "Djuric (5.98, 0.38); (6.17, 0.51)\n",
+ "Henry (5.89, 0.52); (6.25, 0.87)\n",
+ "Success (5.94, 0.37); (6.10, 0.50)\n",
+ "Gabbiadini (5.96, 0.58); (6.45, 1.06)\n",
+ "Zirkzee (6.04, 0.51); (6.50, 0.89)\n",
+ "Lammers (5.83, 0.41); (5.94, 0.55)\n",
+ "Satriano (5.86, 0.45); (6.00, 0.62)\n",
+ "Kallon (5.87, 0.41); (6.02, 0.58)\n",
+ "Nestorovski (6.23, 0.50); (7.01, 1.13)\n",
+ "Raspadori (6.02, 0.52); (6.50, 0.96)\n",
+ "Botheim (5.90, 0.49); (6.28, 0.84)\n",
+ "Gytkjaer (5.85, 0.44); (6.08, 0.67)\n",
+ "Solbakken (6.12, 0.51); (6.38, 0.73)\n",
+ "Lasagna (5.78, 0.43); (5.89, 0.56)\n",
+ "Belotti (5.69, 0.33); (5.71, 0.33)\n",
+ "Pellegri (5.94, 0.47); (6.20, 0.75)\n",
+ "Buonaiuto (5.92, 0.37); (6.05, 0.48)\n",
+ "Verde (6.01, 0.48); (6.45, 0.89)\n",
+ "Destro (5.95, 0.59); (6.47, 1.09)\n",
+ "Seck (6.10, 0.35); (6.23, 0.45)\n",
+ "Sansone (5.96, 0.50); (6.23, 0.80)\n",
+ "Quagliarella (5.83, 0.39); (5.91, 0.50)\n",
+ "Defrel (5.87, 0.48); (6.10, 0.73)\n",
+ "Pjaca (5.87, 0.43); (6.01, 0.56)\n",
+ "Gaich (5.86, 0.52); (6.23, 0.88)\n",
+ "Soule' (6.18, 0.40); (6.49, 0.65)\n",
+ "Tsadjout (5.83, 0.39); (5.91, 0.51)\n",
+ "Piccoli (5.96, 0.56); (6.53, 1.09)\n",
+ "Shomurodov (6.01, 0.53); (6.52, 1.01)\n",
+ "Afena-Gyan (5.68, 0.33); (5.65, 0.33)\n",
+ "Ngonge (6.01, 0.46); (6.19, 0.64)\n",
+ "Karamoh (5.92, 0.49); (6.24, 0.78)\n",
+ "Ibrahimovic (6.23, 0.64); (7.23, 1.56)\n",
+ "Pussetto (5.90, 0.51); (6.26, 0.87)\n",
+ "Cancellieri (5.77, 0.29); (5.79, 0.24)\n",
+ "Valencia D. (5.73, 0.29); (5.68, 0.30)\n",
+ "Oddei (6.08, 0.45); (6.28, 0.62)\n",
+ "Braaf (5.89, 0.50); (5.99, 0.69)\n",
+ "Raimondo (6.00, 0.48); (6.18, 0.66)\n",
+ "Kaio Jorge (5.87, 0.30); (5.93, 0.26)\n",
+ "De Luca (5.90, 0.47); (5.99, 0.63)\n",
+ "Voelkerling Persson (5.86, 0.41); (5.88, 0.45)\n",
+ "Montevago (5.66, 0.32); (5.61, 0.32)\n",
+ "Krollis (5.91, 0.49); (6.02, 0.67)\n",
+ "Vivaldo (5.94, 0.47); (6.07, 0.63)\n"
]
},
{
@@ -6176,6 +8776,28 @@
" \n",
" \n",
" \n",
+ " Sportiello \n",
+ " P \n",
+ " Atalanta \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 0 \n",
+ " 6.231651 \n",
+ " 0.415321 \n",
+ " 5.752200 \n",
+ " 0.466398 \n",
+ " 5.991827 \n",
+ " 0.261492 \n",
+ " 0.593656 \n",
+ " 1.589764 \n",
+ " 6.155690 \n",
+ " 0.590086 \n",
+ " -0.468942 \n",
+ " 1.056474 \n",
+ " 51.863781 \n",
+ " \n",
+ " \n",
" Musso \n",
" P \n",
" Atalanta \n",
@@ -6183,19 +8805,19 @@
" 1 \n",
" 1 \n",
" 100 \n",
- " 6.249807 \n",
- " 0.509950 \n",
- " 5.836337 \n",
- " 0.631707 \n",
- " 6.018064 \n",
- " 0.351376 \n",
- " 0.444477 \n",
- " 1.997621 \n",
- " 6.347169 \n",
- " 0.802586 \n",
- " -0.445304 \n",
- " 1.381827 \n",
- " 66.118824 \n",
+ " 6.236096 \n",
+ " 0.406723 \n",
+ " 4.987762 \n",
+ " 0.628655 \n",
+ " 6.006006 \n",
+ " 0.265851 \n",
+ " 0.567340 \n",
+ " 1.590164 \n",
+ " 5.437433 \n",
+ " 0.847580 \n",
+ " -0.382434 \n",
+ " 1.026447 \n",
+ " 25.157676 \n",
" \n",
" \n",
" Rossi F. \n",
@@ -6205,62 +8827,40 @@
" 1 \n",
" 0 \n",
" 0 \n",
- " 6.249807 \n",
- " 0.509950 \n",
- " 5.836337 \n",
- " 0.631707 \n",
- " 6.018064 \n",
- " 0.351376 \n",
- " 0.444477 \n",
- " 1.997621 \n",
- " 6.347169 \n",
- " 0.802586 \n",
- " -0.445304 \n",
- " 1.381827 \n",
- " 66.118824 \n",
+ " 6.000138 \n",
+ " 0.455728 \n",
+ " 3.421253 \n",
+ " 1.069372 \n",
+ " 5.743456 \n",
+ " 0.302220 \n",
+ " 0.559217 \n",
+ " 1.584953 \n",
+ " 4.515615 \n",
+ " 0.947310 \n",
+ " -0.858268 \n",
+ " 0.971322 \n",
+ " 0.053009 \n",
" \n",
" \n",
- " Sportiello \n",
- " P \n",
- " Atalanta \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 0 \n",
- " 6.251529 \n",
- " 0.648099 \n",
- " 5.446271 \n",
- " 0.787110 \n",
- " 6.016531 \n",
- " 0.577649 \n",
- " 0.287288 \n",
- " 1.996894 \n",
- " 6.129120 \n",
- " 0.963281 \n",
- " -0.498532 \n",
- " 1.234413 \n",
- " 47.004265 \n",
- " \n",
- " \n",
- " Maehle \n",
+ " Toloi \n",
" D \n",
" Atalanta \n",
" Avg \n",
" 1 \n",
" 1 \n",
- " 90 \n",
- " 6.048661 \n",
- " 0.433474 \n",
- " 6.479866 \n",
- " 0.818422 \n",
- " 5.936080 \n",
- " 0.470499 \n",
- " 0.176782 \n",
- " 1.334698 \n",
- " 5.775224 \n",
- " 0.973522 \n",
- " 0.468853 \n",
- " 1.987917 \n",
+ " 76 \n",
+ " 6.182471 \n",
+ " 0.497041 \n",
+ " 6.510197 \n",
+ " 0.767526 \n",
+ " 6.118215 \n",
+ " 0.568353 \n",
+ " 0.083237 \n",
+ " 0.974107 \n",
+ " 5.949116 \n",
+ " 1.045715 \n",
+ " 0.376768 \n",
+ " 1.599878 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6271,18 +8871,18 @@
" 1 \n",
" 1 \n",
" 80 \n",
- " 6.081365 \n",
- " 0.488378 \n",
- " 6.413559 \n",
- " 0.805035 \n",
- " 6.103627 \n",
- " 0.594670 \n",
- " -0.027746 \n",
- " 1.144796 \n",
- " 5.798996 \n",
- " 1.114906 \n",
- " 0.375052 \n",
- " 1.985990 \n",
+ " 6.106335 \n",
+ " 0.542263 \n",
+ " 6.484568 \n",
+ " 0.888150 \n",
+ " 6.035203 \n",
+ " 0.618826 \n",
+ " 0.084394 \n",
+ " 0.943202 \n",
+ " 5.800193 \n",
+ " 1.167502 \n",
+ " 0.407405 \n",
+ " 1.599853 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6308,25 +8908,25 @@
" ... \n",
" \n",
" \n",
- " Kallon \n",
+ " Ngonge \n",
" A \n",
" Verona \n",
" Avg \n",
" 1 \n",
" 0 \n",
- " 80 \n",
- " 5.866606 \n",
- " 0.435109 \n",
- " 6.203196 \n",
- " 0.739764 \n",
- " 5.768876 \n",
- " 0.482605 \n",
- " 0.149849 \n",
- " 1.340647 \n",
- " 5.560790 \n",
- " 0.867570 \n",
- " 0.477124 \n",
- " 1.989097 \n",
+ " 9 \n",
+ " 6.012385 \n",
+ " 0.460914 \n",
+ " 6.192769 \n",
+ " 0.642234 \n",
+ " 5.948507 \n",
+ " 0.526957 \n",
+ " 0.089440 \n",
+ " 1.027153 \n",
+ " 5.753753 \n",
+ " 0.909869 \n",
+ " 0.343063 \n",
+ " 1.599884 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6336,19 +8936,41 @@
" Avg \n",
" 1 \n",
" 0 \n",
- " 80 \n",
- " 5.959638 \n",
- " 0.381648 \n",
- " 6.181534 \n",
- " 0.631299 \n",
- " 5.888130 \n",
- " 0.433246 \n",
- " 0.122327 \n",
- " 1.420676 \n",
- " 5.669064 \n",
- " 0.816720 \n",
- " 0.417531 \n",
- " 1.989698 \n",
+ " 76 \n",
+ " 5.983204 \n",
+ " 0.382559 \n",
+ " 6.169758 \n",
+ " 0.513984 \n",
+ " 5.921325 \n",
+ " 0.435583 \n",
+ " 0.104966 \n",
+ " 1.118263 \n",
+ " 5.821442 \n",
+ " 0.731387 \n",
+ " 0.339015 \n",
+ " 1.599905 \n",
+ " 0.000000 \n",
+ " \n",
+ " \n",
+ " Kallon \n",
+ " A \n",
+ " Verona \n",
+ " Avg \n",
+ " 1 \n",
+ " 0 \n",
+ " 76 \n",
+ " 5.872636 \n",
+ " 0.412638 \n",
+ " 6.024773 \n",
+ " 0.580459 \n",
+ " 5.801579 \n",
+ " 0.467657 \n",
+ " 0.112188 \n",
+ " 1.094201 \n",
+ " 5.584190 \n",
+ " 0.771489 \n",
+ " 0.398869 \n",
+ " 1.599887 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6358,19 +8980,19 @@
" Avg \n",
" 1 \n",
" 0 \n",
- " 5 \n",
- " 5.756974 \n",
- " 0.499056 \n",
- " 6.154046 \n",
- " 0.848913 \n",
- " 5.645543 \n",
- " 0.554309 \n",
- " 0.148477 \n",
- " 1.195396 \n",
- " 5.418990 \n",
- " 1.000250 \n",
- " 0.474455 \n",
- " 1.986593 \n",
+ " 4 \n",
+ " 5.890489 \n",
+ " 0.499580 \n",
+ " 5.989770 \n",
+ " 0.687150 \n",
+ " 5.854036 \n",
+ " 0.580856 \n",
+ " 0.046250 \n",
+ " 1.000402 \n",
+ " 5.530768 \n",
+ " 0.984864 \n",
+ " 0.332306 \n",
+ " 1.599853 \n",
" 0.000000 \n",
" \n",
" \n",
@@ -6381,108 +9003,86 @@
" 1 \n",
" 1 \n",
" 80 \n",
- " 5.733838 \n",
- " 0.445294 \n",
- " 5.975440 \n",
- " 0.654683 \n",
- " 5.651345 \n",
- " 0.504705 \n",
- " 0.121175 \n",
- " 1.312900 \n",
- " 5.437752 \n",
- " 0.834783 \n",
- " 0.426972 \n",
- " 1.989348 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- " Ngonge \n",
- " A \n",
- " Verona \n",
- " Avg \n",
- " 1 \n",
- " 0 \n",
- " 5 \n",
- " 5.847426 \n",
- " 0.420564 \n",
- " 5.956775 \n",
- " 0.551352 \n",
- " 5.813974 \n",
- " 0.500996 \n",
- " 0.049395 \n",
- " 1.316207 \n",
- " 5.610939 \n",
- " 0.880707 \n",
- " 0.276178 \n",
- " 1.988667 \n",
+ " 5.778522 \n",
+ " 0.428915 \n",
+ " 5.888383 \n",
+ " 0.559543 \n",
+ " 5.707819 \n",
+ " 0.487241 \n",
+ " 0.107039 \n",
+ " 1.083248 \n",
+ " 5.472644 \n",
+ " 0.754283 \n",
+ " 0.386147 \n",
+ " 1.599887 \n",
" 0.000000 \n",
" \n",
" \n",
"\n",
- "543 rows × 19 columns
\n",
+ "520 rows × 19 columns
\n",
""
],
"text/plain": [
" role team oppteam home starter vote% MV MV std \\\n",
"player \n",
- "Musso P Atalanta Avg 1 1 100 6.249807 0.509950 \n",
- "Rossi F. P Atalanta Avg 1 0 0 6.249807 0.509950 \n",
- "Sportiello P Atalanta Avg 1 0 0 6.251529 0.648099 \n",
- "Maehle D Atalanta Avg 1 1 90 6.048661 0.433474 \n",
- "Scalvini D Atalanta Avg 1 1 80 6.081365 0.488378 \n",
+ "Sportiello P Atalanta Avg 1 0 0 6.231651 0.415321 \n",
+ "Musso P Atalanta Avg 1 1 100 6.236096 0.406723 \n",
+ "Rossi F. P Atalanta Avg 1 0 0 6.000138 0.455728 \n",
+ "Toloi D Atalanta Avg 1 1 76 6.182471 0.497041 \n",
+ "Scalvini D Atalanta Avg 1 1 80 6.106335 0.542263 \n",
"... ... ... ... ... ... ... ... ... \n",
- "Kallon A Verona Avg 1 0 80 5.866606 0.435109 \n",
- "Djuric A Verona Avg 1 0 80 5.959638 0.381648 \n",
- "Braaf A Verona Avg 1 0 5 5.756974 0.499056 \n",
- "Lasagna A Verona Avg 1 1 80 5.733838 0.445294 \n",
- "Ngonge A Verona Avg 1 0 5 5.847426 0.420564 \n",
+ "Ngonge A Verona Avg 1 0 9 6.012385 0.460914 \n",
+ "Djuric A Verona Avg 1 0 76 5.983204 0.382559 \n",
+ "Kallon A Verona Avg 1 0 76 5.872636 0.412638 \n",
+ "Braaf A Verona Avg 1 0 4 5.890489 0.499580 \n",
+ "Lasagna A Verona Avg 1 1 80 5.778522 0.428915 \n",
"\n",
" FV FV std MV loc MV scale MV skewness \\\n",
"player \n",
- "Musso 5.836337 0.631707 6.018064 0.351376 0.444477 \n",
- "Rossi F. 5.836337 0.631707 6.018064 0.351376 0.444477 \n",
- "Sportiello 5.446271 0.787110 6.016531 0.577649 0.287288 \n",
- "Maehle 6.479866 0.818422 5.936080 0.470499 0.176782 \n",
- "Scalvini 6.413559 0.805035 6.103627 0.594670 -0.027746 \n",
+ "Sportiello 5.752200 0.466398 5.991827 0.261492 0.593656 \n",
+ "Musso 4.987762 0.628655 6.006006 0.265851 0.567340 \n",
+ "Rossi F. 3.421253 1.069372 5.743456 0.302220 0.559217 \n",
+ "Toloi 6.510197 0.767526 6.118215 0.568353 0.083237 \n",
+ "Scalvini 6.484568 0.888150 6.035203 0.618826 0.084394 \n",
"... ... ... ... ... ... \n",
- "Kallon 6.203196 0.739764 5.768876 0.482605 0.149849 \n",
- "Djuric 6.181534 0.631299 5.888130 0.433246 0.122327 \n",
- "Braaf 6.154046 0.848913 5.645543 0.554309 0.148477 \n",
- "Lasagna 5.975440 0.654683 5.651345 0.504705 0.121175 \n",
- "Ngonge 5.956775 0.551352 5.813974 0.500996 0.049395 \n",
+ "Ngonge 6.192769 0.642234 5.948507 0.526957 0.089440 \n",
+ "Djuric 6.169758 0.513984 5.921325 0.435583 0.104966 \n",
+ "Kallon 6.024773 0.580459 5.801579 0.467657 0.112188 \n",
+ "Braaf 5.989770 0.687150 5.854036 0.580856 0.046250 \n",
+ "Lasagna 5.888383 0.559543 5.707819 0.487241 0.107039 \n",
"\n",
" MV tailweight FV loc FV scale FV skewness FV tailweight \\\n",
"player \n",
- "Musso 1.997621 6.347169 0.802586 -0.445304 1.381827 \n",
- "Rossi F. 1.997621 6.347169 0.802586 -0.445304 1.381827 \n",
- "Sportiello 1.996894 6.129120 0.963281 -0.498532 1.234413 \n",
- "Maehle 1.334698 5.775224 0.973522 0.468853 1.987917 \n",
- "Scalvini 1.144796 5.798996 1.114906 0.375052 1.985990 \n",
+ "Sportiello 1.589764 6.155690 0.590086 -0.468942 1.056474 \n",
+ "Musso 1.590164 5.437433 0.847580 -0.382434 1.026447 \n",
+ "Rossi F. 1.584953 4.515615 0.947310 -0.858268 0.971322 \n",
+ "Toloi 0.974107 5.949116 1.045715 0.376768 1.599878 \n",
+ "Scalvini 0.943202 5.800193 1.167502 0.407405 1.599853 \n",
"... ... ... ... ... ... \n",
- "Kallon 1.340647 5.560790 0.867570 0.477124 1.989097 \n",
- "Djuric 1.420676 5.669064 0.816720 0.417531 1.989698 \n",
- "Braaf 1.195396 5.418990 1.000250 0.474455 1.986593 \n",
- "Lasagna 1.312900 5.437752 0.834783 0.426972 1.989348 \n",
- "Ngonge 1.316207 5.610939 0.880707 0.276178 1.988667 \n",
+ "Ngonge 1.027153 5.753753 0.909869 0.343063 1.599884 \n",
+ "Djuric 1.118263 5.821442 0.731387 0.339015 1.599905 \n",
+ "Kallon 1.094201 5.584190 0.771489 0.398869 1.599887 \n",
+ "Braaf 1.000402 5.530768 0.984864 0.332306 1.599853 \n",
+ "Lasagna 1.083248 5.472644 0.754283 0.386147 1.599887 \n",
"\n",
" Clean Sheet % \n",
"player \n",
- "Musso 66.118824 \n",
- "Rossi F. 66.118824 \n",
- "Sportiello 47.004265 \n",
- "Maehle 0.000000 \n",
+ "Sportiello 51.863781 \n",
+ "Musso 25.157676 \n",
+ "Rossi F. 0.053009 \n",
+ "Toloi 0.000000 \n",
"Scalvini 0.000000 \n",
"... ... \n",
- "Kallon 0.000000 \n",
+ "Ngonge 0.000000 \n",
"Djuric 0.000000 \n",
+ "Kallon 0.000000 \n",
"Braaf 0.000000 \n",
"Lasagna 0.000000 \n",
- "Ngonge 0.000000 \n",
"\n",
- "[543 rows x 19 columns]"
+ "[520 rows x 19 columns]"
]
},
- "execution_count": 96,
+ "execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
@@ -6495,68 +9095,71 @@
"current_season_games = max(players_orig['games'])\n",
"\n",
"for i in range(players.shape[0]):\n",
- " home = 0\n",
- " \n",
- " for k in range(tot_matches):\n",
- " #matchday_out = k + 1\n",
- " #[player, team, oppteam, home] = PlayerMatch(players.index[i], matchday_out)\n",
- " \n",
- " player = players.index[i]\n",
- " team = players['team'][i]\n",
- " oppteam = 'Avg'\n",
- " home = not home\n",
+ " try:\n",
+ " home = 0\n",
"\n",
- " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home)\n",
+ " for k in range(tot_matches):\n",
+ " #matchday_out = k + 1\n",
+ " #[player, team, oppteam, home] = PlayerMatch(players.index[i], matchday_out)\n",
"\n",
- " role = players['r'][player] \n",
+ " player = players.index[i]\n",
+ " team = players['team'][i]\n",
+ " oppteam = 'Avg'\n",
+ " home = not home\n",
"\n",
- " starter = 0\n",
- " voteperc = 0\n",
+ " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home)\n",
"\n",
- " games = max( players_orig['games'][i], players_orig['gk_games'][i] )\n",
- " mins = max( players_orig['minutes'][i], players_orig['gk_minutes'][i] )\n",
- " \n",
- " cs = 0\n",
- " if(role == 'P'):\n",
- " cs = dist[2].probs.numpy()[0] * 100\n",
- " \n",
- " starter = int( player in gk_starters )\n",
- " if(starter):\n",
- " voteperc = 100\n",
+ " role = players['r'][player] \n",
+ "\n",
+ " starter = 0\n",
+ " voteperc = 0\n",
+ "\n",
+ " games = max( players_orig['games'][i], players_orig['gk_games'][i] )\n",
+ " mins = max( players_orig['minutes'][i], players_orig['gk_minutes'][i] )\n",
+ "\n",
+ " cs = 0\n",
+ " if(role == 'P'):\n",
+ " cs = dist[2].probs.numpy()[0] * 100\n",
+ "\n",
+ " starter = int( player in gk_starters )\n",
+ " if(starter):\n",
+ " voteperc = 100\n",
+ " else:\n",
+ " voteperc = 0\n",
" else:\n",
- " voteperc = 0\n",
- " else:\n",
- " starter = int ( 1 * (games >= current_season_games * 2/3 and mins / games >= 45 ) )\n",
- " voteperc = int( min( 1, games / current_season_games ) * 100) \n",
+ " starter = int ( 1 * (games >= current_season_games * 2/3 and mins / games >= 45 ) )\n",
+ " voteperc = int( min( 1, games / current_season_games ) * 100) \n",
"\n",
- " if(k == 0):\n",
- " row = [player, role, team, 'Avg', 1, starter, voteperc]\n",
- " \n",
- " numrow_ = [mean[0], std[0], \n",
- " mean[1], std[1], \n",
- " dist[0].loc.numpy()[0], dist[0].scale.numpy()[0], \n",
- " dist[0].skewness.numpy()[0], dist[0].tailweight.numpy()[0], \n",
- " dist[1].loc.numpy()[0], dist[1].scale.numpy()[0], \n",
- " dist[1].skewness.numpy()[0], dist[1].tailweight.numpy()[0],\n",
- " cs] \n",
+ " if(k == 0):\n",
+ " row = [player, role, team, 'Avg', 1, starter, voteperc]\n",
"\n",
- " if(k == 0):\n",
- " numrow = numrow_\n",
- " else:\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] += numrow_[j]\n",
+ " numrow_ = [mean[0], std[0], \n",
+ " mean[1], std[1], \n",
+ " dist[0].loc.numpy()[0], dist[0].scale.numpy()[0], \n",
+ " dist[0].skewness.numpy()[0], dist[0].tailweight.numpy()[0], \n",
+ " dist[1].loc.numpy()[0], dist[1].scale.numpy()[0], \n",
+ " dist[1].skewness.numpy()[0], dist[1].tailweight.numpy()[0],\n",
+ " cs] \n",
"\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] /= tot_matches\n",
- " \n",
- " print(players.index[i] + ' (' + \"{:.2f}\".format(numrow[0]) + ', ' + \"{:.2f}\".format(numrow[1]) + \n",
- " '); (' + \"{:.2f}\".format(numrow[2]) + ', ' + \"{:.2f}\".format(numrow[3]) + ')' )\n",
- " \n",
- " row += numrow # list concat\n",
- " \n",
- " row_df = pd.DataFrame(data = [row], columns = output.columns)\n",
+ " if(k == 0):\n",
+ " numrow = numrow_\n",
+ " else:\n",
+ " for j in range(len(numrow)):\n",
+ " numrow[j] += numrow_[j]\n",
"\n",
- " output = pd.concat([output, row_df])\n",
+ " for j in range(len(numrow)):\n",
+ " numrow[j] /= tot_matches\n",
+ "\n",
+ " print(players.index[i] + ' (' + \"{:.2f}\".format(numrow[0]) + ', ' + \"{:.2f}\".format(numrow[1]) + \n",
+ " '); (' + \"{:.2f}\".format(numrow[2]) + ', ' + \"{:.2f}\".format(numrow[3]) + ')' )\n",
+ "\n",
+ " row += numrow # list concat\n",
+ "\n",
+ " row_df = pd.DataFrame(data = [row], columns = output.columns)\n",
+ "\n",
+ " output = pd.concat([output, row_df])\n",
+ " except:\n",
+ " print(players.index[i] + ' no data')\n",
" \n",
" \n",
"\n",
@@ -6570,7 +9173,7 @@
},
{
"cell_type": "code",
- "execution_count": 97,
+ "execution_count": 62,
"id": "b47cbd63",
"metadata": {},
"outputs": [],
@@ -6588,691 +9191,6 @@
" output.to_excel(writer, sheet_name='data')"
]
},
- {
- "cell_type": "markdown",
- "id": "a9687e92",
- "metadata": {},
- "source": [
- "Same code but considering previous season"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "id": "89e1dc82",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Meret (5.79, 0.46); (5.22, 0.60)\n",
- "Provedel (6.40, 0.38); (4.78, 0.71)\n",
- "Maignan (6.38, 0.38); (5.01, 0.67)\n",
- "Silvestri (6.40, 0.38); (4.53, 0.74)\n",
- "Sepe (6.38, 0.37); (4.77, 0.71)\n",
- "Szczesny (6.29, 0.39); (5.05, 0.66)\n",
- "Consigli (6.31, 0.37); (4.42, 0.76)\n",
- "Falcone (6.33, 0.41); (5.23, 0.64)\n",
- "Musso (6.39, 0.37); (4.71, 0.72)\n",
- "Vicario (6.40, 0.38); (4.57, 0.74)\n",
- "Rui Patricio (6.36, 0.38); (4.57, 0.73)\n",
- "Milinkovic-Savic V. (6.28, 0.36); (4.68, 0.72)\n",
- "Audero (6.32, 0.36); (4.39, 0.77)\n",
- "Montipo' (6.37, 0.36); (4.63, 0.73)\n",
- "Sportiello (6.33, 0.41); (5.58, 0.59)\n",
- "Skorupski (6.39, 0.39); (4.61, 0.73)\n",
- "Di Gregorio (6.13, 0.40); (4.30, 0.76)\n",
- "Perin (6.23, 0.41); (5.53, 0.59)\n",
- "Handanovic (6.44, 0.39); (4.66, 0.73)\n",
- "Tatarusanu (6.06, 0.43); (5.47, 0.59)\n",
- "Gollini (6.03, 0.41); (5.40, 0.60)\n",
- "Dragowski (5.66, 0.42); (3.79, 0.84)\n",
- "Terracciano (6.22, 0.34); (4.44, 0.75)\n",
- "Berisha (6.26, 0.43); (5.58, 0.59)\n",
- "Radu I. (5.33, 0.40); (3.14, 0.99)\n",
- "Cragno (6.36, 0.36); (4.65, 0.72)\n",
- "Luis Maximiano (6.05, 0.46); (5.19, 0.62)\n",
- "Onana (6.23, 0.37); (5.38, 0.62)\n",
- "Carnesecchi (6.27, 0.45); (5.50, 0.60)\n",
- "Mirante (6.38, 0.38); (5.01, 0.67)\n",
- "Sarr M. (6.27, 0.42); (4.63, 0.72)\n",
- "Lamanna (6.13, 0.40); (4.30, 0.76)\n",
- "Ujkani (6.40, 0.38); (4.57, 0.74)\n",
- "Pegolo (6.28, 0.36); (4.38, 0.76)\n",
- "Perilli (6.22, 0.33); (4.29, 0.78)\n",
- "Padelli (6.45, 0.40); (4.62, 0.73)\n",
- "Perisan (6.45, 0.41); (5.30, 0.63)\n",
- "Bardi (6.40, 0.38); (4.71, 0.72)\n",
- "Cordaz (6.44, 0.39); (4.66, 0.73)\n",
- "Pinsoglio (6.26, 0.40); (5.18, 0.64)\n",
- "Fiorillo (6.33, 0.36); (4.62, 0.74)\n",
- "Sirigu (6.36, 0.36); (4.96, 0.68)\n",
- "Cerofolini (6.09, 0.35); (4.64, 0.72)\n",
- "Rossi F. (6.38, 0.37); (4.78, 0.70)\n",
- "Contini (6.18, 0.34); (4.22, 0.80)\n",
- "Brancolini (6.40, 0.37); (4.83, 0.70)\n",
- "Bleve (6.40, 0.37); (4.83, 0.70)\n",
- "Berardi A. (6.33, 0.35); (4.49, 0.75)\n",
- "Russo A. (6.24, 0.37); (5.24, 0.63)\n",
- "Gemello (6.26, 0.43); (5.64, 0.59)\n",
- "Ravaglia (6.37, 0.36); (4.57, 0.74)\n",
- "Zoet (5.55, 0.33); (2.93, 1.10)\n",
- "Boer (6.36, 0.38); (4.57, 0.73)\n",
- "Adamonis (6.16, 0.40); (4.50, 0.73)\n",
- "Marfella (6.37, 0.37); (5.05, 0.67)\n",
- "Zovko (6.38, 0.37); (4.50, 0.75)\n",
- "Piana (6.40, 0.38); (4.53, 0.74)\n",
- "Bagnolini (6.04, 0.36); (3.94, 0.82)\n",
- "Svilar (6.24, 0.40); (5.38, 0.61)\n",
- "Sorrentino A. (6.13, 0.40); (4.30, 0.76)\n",
- "Ciezkowski (6.27, 0.42); (4.63, 0.72)\n",
- "Micai (6.41, 0.37); (4.91, 0.69)\n",
- "Chiesa M. (6.22, 0.33); (4.29, 0.78)\n",
- "Saro (6.27, 0.42); (4.63, 0.72)\n",
- "Smalling (6.16, 0.46); (6.51, 0.80)\n",
- "Hernandez T. (6.24, 0.60); (6.99, 1.34)\n",
- "Kim (6.28, 0.45); (6.62, 0.73)\n",
- "Bastoni S. (6.08, 0.49); (6.43, 0.82)\n",
- "Udogie (6.04, 0.56); (6.54, 1.08)\n",
- "Dumfries (6.18, 0.51); (6.86, 1.22)\n",
- "Romagnoli (5.99, 0.48); (6.00, 0.39)\n",
- "Rodrigo Becao (6.00, 0.52); (6.13, 0.63)\n",
- "Parisi (5.87, 0.40); (5.88, 0.34)\n",
- "Mazzocchi (5.81, 0.40); (5.83, 0.36)\n",
- "Bremer (6.21, 0.47); (6.40, 0.55)\n",
- "Demiral (6.02, 0.52); (6.06, 0.49)\n",
- "Valeri (6.08, 0.35); (6.40, 0.67)\n",
- "Dimarco (6.17, 0.46); (6.58, 0.85)\n",
- "Di Lorenzo (6.15, 0.41); (6.31, 0.49)\n",
- "Ibanez (5.81, 0.51); (5.87, 0.58)\n",
- "Tomori (6.09, 0.39); (6.16, 0.36)\n",
- "Toloi (6.03, 0.48); (6.15, 0.56)\n",
- "Gosens (6.07, 0.34); (6.17, 0.40)\n",
- "Rrahmani (6.23, 0.50); (6.63, 0.85)\n",
- "Kalulu (6.20, 0.49); (6.56, 0.80)\n",
- "Bijol (6.07, 0.51); (6.47, 0.91)\n",
- "Doig (6.16, 0.51); (6.72, 1.05)\n",
- "Mario Rui (6.03, 0.42); (6.13, 0.44)\n",
- "Spinazzola (6.02, 0.32); (6.02, 0.34)\n",
- "Lazzari (6.01, 0.51); (6.38, 0.91)\n",
- "Mancini (5.76, 0.50); (5.72, 0.40)\n",
- "Danilo (6.12, 0.42); (6.25, 0.48)\n",
- "Kyriakopoulos (5.78, 0.52); (5.74, 0.45)\n",
- "Vojvoda (5.95, 0.37); (6.00, 0.40)\n",
- "Scalvini (5.98, 0.38); (6.05, 0.41)\n",
- "Carlos Augusto (5.83, 0.45); (5.95, 0.58)\n",
- "Skriniar (6.15, 0.46); (6.35, 0.59)\n",
- "Schuurs (6.03, 0.36); (6.07, 0.34)\n",
- "Juan Jesus (6.12, 0.44); (6.36, 0.63)\n",
- "Bonucci (6.21, 0.56); (6.77, 1.10)\n",
- "Calabria (6.10, 0.35); (6.36, 0.60)\n",
- "Bastoni (6.16, 0.41); (6.32, 0.50)\n",
- "Depaoli (5.74, 0.40); (5.78, 0.48)\n",
- "Darmian (6.06, 0.37); (6.30, 0.64)\n",
- "Sernicola (5.96, 0.41); (6.27, 0.77)\n",
- "Mari' (6.02, 0.59); (6.27, 0.86)\n",
- "Martinez Quarta (5.76, 0.50); (5.73, 0.49)\n",
- "Maehle (6.03, 0.30); (6.07, 0.36)\n",
- "Olivera (6.17, 0.38); (6.48, 0.66)\n",
- "Biraghi (5.87, 0.57); (6.14, 0.87)\n",
- "Medel (5.75, 0.54); (5.69, 0.42)\n",
- "Patric (5.77, 0.56); (5.77, 0.56)\n",
- "Rodriguez R. (5.88, 0.39); (5.89, 0.33)\n",
- "Aina (5.88, 0.36); (5.89, 0.33)\n",
- "Cambiaso (5.88, 0.51); (5.94, 0.54)\n",
- "Perez N. (5.74, 0.41); (5.70, 0.35)\n",
- "Holm (5.93, 0.41); (6.14, 0.65)\n",
- "Baschirotto (6.15, 0.47); (6.56, 0.86)\n",
- "Dodo' (5.72, 0.41); (5.70, 0.39)\n",
- "Hysaj (5.70, 0.40); (5.70, 0.41)\n",
- "Faraoni (6.07, 0.44); (6.44, 0.81)\n",
- "Bianchetti (5.74, 0.41); (5.79, 0.47)\n",
- "Milenkovic (5.80, 0.51); (5.79, 0.47)\n",
- "Marusic (5.68, 0.48); (5.65, 0.46)\n",
- "Colley (5.78, 0.53); (5.73, 0.39)\n",
- "Toljan (5.81, 0.38); (5.80, 0.33)\n",
- "Celik (5.90, 0.35); (5.89, 0.32)\n",
- "Ampadu (5.77, 0.51); (5.71, 0.39)\n",
- "Singo (6.14, 0.54); (6.63, 1.00)\n",
- "Casale (5.82, 0.41); (5.79, 0.34)\n",
- "Daniliuc (5.83, 0.55); (5.78, 0.46)\n",
- "Pongracic (5.88, 0.42); (5.86, 0.33)\n",
- "Soppy (5.87, 0.33); (5.84, 0.30)\n",
- "Kiwior (5.78, 0.39); (5.76, 0.32)\n",
- "Posch (5.96, 0.59); (6.46, 1.09)\n",
- "Masina (5.98, 0.42); (6.23, 0.72)\n",
- "Ghiglione (5.72, 0.37); (5.69, 0.32)\n",
- "De Vrij (5.81, 0.36); (5.79, 0.31)\n",
- "Alex Sandro (5.83, 0.34); (5.79, 0.29)\n",
- "Ceccherini (5.76, 0.48); (5.78, 0.49)\n",
- "Fazio (5.69, 0.58); (5.64, 0.55)\n",
- "Rogerio (5.77, 0.40); (5.75, 0.35)\n",
- "Reca (5.75, 0.38); (5.72, 0.32)\n",
- "Gunter (5.73, 0.53); (5.67, 0.44)\n",
- "Djidji (5.82, 0.46); (5.79, 0.36)\n",
- "Augello (5.77, 0.40); (5.84, 0.46)\n",
- "Bellanova (5.82, 0.42); (5.85, 0.43)\n",
- "Erlic (5.84, 0.54); (5.95, 0.67)\n",
- "Ismajli (5.64, 0.53); (5.58, 0.43)\n",
- "Ebuehi (5.64, 0.38); (5.57, 0.32)\n",
- "Kasius (5.96, 0.32); (5.95, 0.31)\n",
- "Lucumi' (5.77, 0.39); (5.73, 0.32)\n",
- "Hien (5.67, 0.45); (5.62, 0.37)\n",
- "Acerbi (6.01, 0.53); (6.29, 0.80)\n",
- "Zappacosta (6.08, 0.39); (6.28, 0.56)\n",
- "Chiriches (5.71, 0.53); (5.65, 0.42)\n",
- "Gyomber (5.68, 0.52); (5.62, 0.42)\n",
- "Pezzella Giu. (5.95, 0.37); (5.98, 0.36)\n",
- "Ferrari G. (5.69, 0.55); (5.63, 0.47)\n",
- "Bereszynski (5.66, 0.42); (5.60, 0.36)\n",
- "Hateboer (5.78, 0.34); (5.77, 0.31)\n",
- "Karsdorp (5.96, 0.43); (6.01, 0.39)\n",
- "Nuytinck (5.98, 0.52); (6.03, 0.50)\n",
- "Lykogiannis (5.72, 0.35); (5.69, 0.31)\n",
- "Buongiorno (5.87, 0.40); (5.85, 0.33)\n",
- "Nikolaou (5.66, 0.44); (5.62, 0.35)\n",
- "Lazaro (5.83, 0.42); (5.86, 0.41)\n",
- "Gallo (5.86, 0.41); (5.82, 0.34)\n",
- "Ayhan (5.71, 0.57); (5.77, 0.67)\n",
- "Dest (5.84, 0.36); (5.83, 0.32)\n",
- "Stojanovic (5.75, 0.51); (5.71, 0.47)\n",
- "Birindelli (5.75, 0.32); (5.72, 0.28)\n",
- "Gendrey (5.77, 0.35); (5.71, 0.30)\n",
- "Ebosse (5.86, 0.33); (5.81, 0.29)\n",
- "Lochoshvili (5.81, 0.37); (5.80, 0.32)\n",
- "Bronn (5.85, 0.35); (5.81, 0.29)\n",
- "Thiaw (6.00, 0.40); (6.06, 0.42)\n",
- "Izzo (5.76, 0.35); (5.68, 0.30)\n",
- "D'ambrosio (6.13, 0.38); (6.27, 0.46)\n",
- "Rugani (5.94, 0.34); (5.93, 0.29)\n",
- "De Sciglio (6.06, 0.50); (6.32, 0.74)\n",
- "Luperto (5.74, 0.59); (5.66, 0.47)\n",
- "De Silvestri (5.83, 0.52); (6.09, 0.81)\n",
- "Djimsiti (5.89, 0.45); (5.93, 0.44)\n",
- "Palomino (6.07, 0.47); (6.15, 0.43)\n",
- "Bonifazi (5.64, 0.50); (5.62, 0.38)\n",
- "Hristov (5.69, 0.47); (5.85, 0.69)\n",
- "Donati (5.65, 0.42); (5.59, 0.35)\n",
- "Umtiti (5.82, 0.48); (5.79, 0.39)\n",
- "Kjaer (6.01, 0.31); (6.00, 0.31)\n",
- "Igor (5.72, 0.53); (5.67, 0.42)\n",
- "Okoli (5.65, 0.47); (5.62, 0.38)\n",
- "Soumaoro (5.74, 0.52); (5.69, 0.40)\n",
- "Caldirola (5.75, 0.48); (5.69, 0.37)\n",
- "Ballo-Toure' (5.73, 0.32); (5.69, 0.28)\n",
- "Bradaric (5.82, 0.40); (5.82, 0.34)\n",
- "De Winter (5.77, 0.53); (5.70, 0.39)\n",
- "Quagliata (5.94, 0.32); (5.96, 0.33)\n",
- "Ferrari A. (5.75, 0.48); (5.82, 0.59)\n",
- "Florenzi (6.11, 0.39); (6.34, 0.58)\n",
- "Sala (5.85, 0.39); (5.99, 0.55)\n",
- "Caldara (5.82, 0.55); (5.78, 0.49)\n",
- "Murru (5.61, 0.40); (5.65, 0.54)\n",
- "Marlon (5.62, 0.39); (5.55, 0.32)\n",
- "Walukiewicz (5.69, 0.44); (5.65, 0.34)\n",
- "Kumbulla (5.78, 0.34); (5.72, 0.29)\n",
- "Amian (5.71, 0.52); (5.66, 0.46)\n",
- "Ostigard (6.00, 0.38); (6.06, 0.36)\n",
- "Sambia (5.70, 0.39); (5.64, 0.32)\n",
- "Aiwu (5.93, 0.43); (5.98, 0.44)\n",
- "Ehizibue (5.87, 0.30); (5.80, 0.27)\n",
- "Hendry (5.98, 0.44); (6.03, 0.44)\n",
- "Marrone (5.51, 0.45); (5.45, 0.38)\n",
- "Radovanovic (5.77, 0.51); (5.84, 0.58)\n",
- "Murillo (5.63, 0.35); (5.52, 0.29)\n",
- "Venuti (5.81, 0.33); (5.78, 0.30)\n",
- "Magnani (5.77, 0.46); (5.73, 0.35)\n",
- "Terzic (5.94, 0.30); (5.91, 0.29)\n",
- "Gabbia (5.61, 0.47); (5.56, 0.39)\n",
- "Zortea (5.80, 0.38); (5.82, 0.42)\n",
- "Dawidowicz (5.75, 0.39); (5.72, 0.32)\n",
- "Pirola (5.82, 0.32); (5.73, 0.27)\n",
- "Carboni (5.62, 0.45); (5.57, 0.36)\n",
- "Lovato (5.82, 0.50); (5.78, 0.38)\n",
- "Tuia (5.76, 0.45); (5.80, 0.48)\n",
- "Amione (5.63, 0.35); (5.56, 0.30)\n",
- "Vasquez (5.89, 0.43); (5.93, 0.40)\n",
- "Zima (5.87, 0.35); (5.86, 0.31)\n",
- "Coppola D. (5.99, 0.36); (6.00, 0.34)\n",
- "Gatti (5.95, 0.45); (5.99, 0.38)\n",
- "Gila (5.81, 0.49); (5.78, 0.40)\n",
- "Cabal (5.82, 0.43); (5.83, 0.39)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Sosa (5.64, 0.48); (5.57, 0.42)\n",
- "Conti (6.10, 0.55); (6.68, 1.13)\n",
- "Dermaku (5.90, 0.43); (5.93, 0.39)\n",
- "Tonelli (5.61, 0.47); (5.58, 0.38)\n",
- "Radu (5.65, 0.49); (5.59, 0.43)\n",
- "Paletta (5.82, 0.42); (5.83, 0.39)\n",
- "Fares (5.76, 0.36); (5.71, 0.32)\n",
- "Marchizza (5.64, 0.38); (5.57, 0.32)\n",
- "Romagna (5.85, 0.44); (5.87, 0.41)\n",
- "Ranieri L. (5.71, 0.37); (5.70, 0.38)\n",
- "Cetin (5.88, 0.52); (5.83, 0.40)\n",
- "Muldur (5.65, 0.42); (5.60, 0.36)\n",
- "Adopo (5.82, 0.44); (5.81, 0.38)\n",
- "Ferrer (5.86, 0.44); (5.86, 0.36)\n",
- "Ruggeri (5.85, 0.34); (5.84, 0.31)\n",
- "Antov (5.61, 0.51); (5.54, 0.43)\n",
- "Amey (5.95, 0.42); (6.01, 0.41)\n",
- "Ferrarini (5.82, 0.42); (5.83, 0.39)\n",
- "Kamenovic (6.19, 0.44); (6.40, 0.54)\n",
- "Vina (5.73, 0.48); (5.68, 0.39)\n",
- "Zanoli (5.93, 0.32); (5.91, 0.29)\n",
- "Zanotti (5.89, 0.39); (5.93, 0.41)\n",
- "Ruan (5.63, 0.56); (5.64, 0.39)\n",
- "Motoc (5.88, 0.41); (5.91, 0.38)\n",
- "Cacace (5.84, 0.35); (5.79, 0.29)\n",
- "Bayeye (5.92, 0.41); (5.97, 0.42)\n",
- "Ebosele (5.96, 0.44); (6.03, 0.42)\n",
- "Buta (5.92, 0.40); (5.97, 0.39)\n",
- "Ndiaye (5.93, 0.43); (5.98, 0.44)\n",
- "Abankwah (5.92, 0.40); (5.97, 0.39)\n",
- "Guessand A. (5.92, 0.40); (5.97, 0.39)\n",
- "Guarino (5.90, 0.43); (5.93, 0.40)\n",
- "Milinkovic-Savic (6.44, 0.62); (7.60, 1.86)\n",
- "Barella (6.33, 0.53); (6.93, 1.12)\n",
- "Kvaratskhelia (6.59, 0.70); (8.44, 2.82)\n",
- "Zaccagni (6.31, 0.59); (7.24, 1.55)\n",
- "Zielinski (6.23, 0.54); (6.91, 1.21)\n",
- "Luis Alberto (6.25, 0.62); (7.24, 1.62)\n",
- "Frattesi (6.03, 0.52); (6.46, 0.97)\n",
- "Politano (6.13, 0.41); (6.47, 0.72)\n",
- "Koopmeiners (6.24, 0.54); (6.86, 1.15)\n",
- "Vlasic (6.28, 0.56); (7.41, 1.76)\n",
- "Pereyra (6.12, 0.56); (6.67, 1.09)\n",
- "Felipe Anderson (6.23, 0.62); (7.34, 1.76)\n",
- "Calhanoglu (6.30, 0.64); (7.42, 1.80)\n",
- "Strefezza (6.34, 0.51); (7.12, 1.38)\n",
- "Diaz B. (6.12, 0.55); (6.74, 1.15)\n",
- "Pellegrini Lo. (6.25, 0.66); (7.62, 2.06)\n",
- "Zambo Anguissa (6.10, 0.37); (6.15, 0.36)\n",
- "Lobotka (6.23, 0.43); (6.55, 0.68)\n",
- "Malinovskyi (6.27, 0.59); (7.30, 1.67)\n",
- "Candreva (6.16, 0.67); (7.20, 1.71)\n",
- "Pasalic (6.24, 0.68); (7.77, 2.24)\n",
- "Bennacer (6.21, 0.44); (6.50, 0.69)\n",
- "Kostic (6.20, 0.49); (6.79, 1.07)\n",
- "Radonjic (6.27, 0.48); (7.03, 1.30)\n",
- "Samardzic (6.15, 0.47); (6.63, 0.95)\n",
- "Chiesa (6.25, 0.52); (7.04, 1.35)\n",
- "Lovric (6.19, 0.38); (6.53, 0.70)\n",
- "De Ketelaere (5.90, 0.34); (5.91, 0.36)\n",
- "Brozovic (6.17, 0.38); (6.38, 0.51)\n",
- "Pogba (5.93, 0.41); (5.99, 0.39)\n",
- "Bonaventura (6.10, 0.61); (6.68, 1.20)\n",
- "Sensi (5.84, 0.36); (5.93, 0.50)\n",
- "Bandinelli (5.84, 0.43); (5.94, 0.57)\n",
- "Ikone' (5.88, 0.40); (6.08, 0.65)\n",
- "Barak (6.20, 0.69); (7.64, 2.13)\n",
- "Mkhitaryan (6.21, 0.58); (6.99, 1.34)\n",
- "Pessina (5.85, 0.36); (5.86, 0.39)\n",
- "Tonali (6.28, 0.54); (6.88, 1.12)\n",
- "Arslan (5.93, 0.40); (5.99, 0.46)\n",
- "Lazovic (6.13, 0.39); (6.47, 0.73)\n",
- "Cristante (5.95, 0.48); (6.05, 0.53)\n",
- "Elmas (6.11, 0.39); (6.37, 0.63)\n",
- "Bajrami (6.24, 0.55); (7.04, 1.40)\n",
- "Vecino (6.06, 0.40); (6.33, 0.67)\n",
- "Paredes (5.72, 0.35); (5.66, 0.30)\n",
- "Mandragora (5.97, 0.41); (6.04, 0.47)\n",
- "Djuricic (5.78, 0.48); (6.05, 0.79)\n",
- "Lukic (6.07, 0.51); (6.47, 0.90)\n",
- "Soriano (5.86, 0.41); (5.85, 0.37)\n",
- "Zaniolo (5.91, 0.53); (6.20, 0.83)\n",
- "Sottil (6.01, 0.53); (6.53, 1.03)\n",
- "Traore' Hj. (6.18, 0.57); (7.13, 1.57)\n",
- "Messias (6.13, 0.60); (7.05, 1.52)\n",
- "Thorstvedt (5.95, 0.45); (6.28, 0.84)\n",
- "Cuadrado (6.25, 0.48); (6.63, 0.81)\n",
- "Locatelli (6.20, 0.48); (6.57, 0.81)\n",
- "Rabiot (5.77, 0.36); (5.74, 0.32)\n",
- "Dominguez (5.96, 0.41); (6.00, 0.39)\n",
- "Tameze (6.16, 0.44); (6.59, 0.87)\n",
- "Miranchuk (6.06, 0.56); (6.79, 1.28)\n",
- "Vilhena (5.73, 0.36); (5.76, 0.43)\n",
- "De Roon (6.00, 0.46); (6.24, 0.70)\n",
- "Verdi (6.25, 0.62); (7.47, 1.88)\n",
- "Walace (5.86, 0.41); (5.87, 0.36)\n",
- "Wijnaldum (5.89, 0.41); (5.91, 0.39)\n",
- "Mckennie (6.18, 0.51); (6.77, 1.08)\n",
- "Makengo (5.91, 0.48); (5.97, 0.49)\n",
- "Ricci S. (5.88, 0.39); (5.92, 0.36)\n",
- "Coulibaly L. (5.84, 0.45); (6.09, 0.75)\n",
- "Sabiri (6.04, 0.61); (6.92, 1.49)\n",
- "Miretti (6.06, 0.42); (6.14, 0.38)\n",
- "Colpani (6.10, 0.40); (6.54, 0.90)\n",
- "Haas (5.86, 0.37); (5.88, 0.36)\n",
- "Orsolini (6.14, 0.57); (7.08, 1.50)\n",
- "Matic (5.99, 0.32); (5.99, 0.32)\n",
- "Ascacibar (6.00, 0.37); (6.04, 0.38)\n",
- "Ederson D.s. (6.15, 0.54); (6.78, 1.19)\n",
- "Ciurria (5.89, 0.41); (6.01, 0.56)\n",
- "Gonzalez J. (6.05, 0.47); (6.48, 0.90)\n",
- "El Shaarawy (6.02, 0.46); (6.38, 0.84)\n",
- "Meite' (5.87, 0.36); (5.88, 0.34)\n",
- "Bourabia (6.17, 0.52); (6.95, 1.34)\n",
- "Ndombele' (5.92, 0.32); (5.91, 0.30)\n",
- "Henderson L. (5.96, 0.43); (6.18, 0.69)\n",
- "Maggiore (5.98, 0.45); (6.16, 0.63)\n",
- "Ilic (5.99, 0.41); (6.13, 0.52)\n",
- "Kovalenko (5.92, 0.44); (6.19, 0.72)\n",
- "Zalewski (5.83, 0.34); (5.80, 0.31)\n",
- "Pickel (5.88, 0.35); (5.97, 0.51)\n",
- "Ferguson (6.07, 0.51); (6.59, 1.02)\n",
- "Camara Ma. (6.10, 0.30); (6.18, 0.34)\n",
- "Saponara (6.21, 0.48); (6.77, 1.05)\n",
- "Rincon (5.77, 0.34); (5.76, 0.31)\n",
- "Cataldi (6.09, 0.44); (6.23, 0.51)\n",
- "Zurkowski (6.11, 0.52); (6.70, 1.11)\n",
- "Rovella (5.96, 0.38); (6.03, 0.46)\n",
- "Agudelo (5.93, 0.50); (6.31, 0.90)\n",
- "Amrabat (6.00, 0.38); (6.17, 0.56)\n",
- "Lopez M. (6.03, 0.46); (6.21, 0.60)\n",
- "Gyasi (5.88, 0.56); (6.36, 1.05)\n",
- "Pobega (6.15, 0.45); (6.50, 0.79)\n",
- "Harroui (5.84, 0.32); (5.82, 0.29)\n",
- "Ceide (5.96, 0.35); (5.97, 0.38)\n",
- "Baldanzi (6.25, 0.47); (7.03, 1.36)\n",
- "Blin (6.00, 0.30); (5.98, 0.30)\n",
- "Hjulmand (5.93, 0.53); (5.88, 0.42)\n",
- "D'alessandro (5.98, 0.30); (5.99, 0.36)\n",
- "Grassi (5.89, 0.44); (5.86, 0.34)\n",
- "Krunic (6.00, 0.32); (6.02, 0.35)\n",
- "Linetty (5.77, 0.32); (5.75, 0.30)\n",
- "Miguel Veloso (5.93, 0.48); (6.00, 0.51)\n",
- "Ekdal (5.74, 0.48); (5.73, 0.47)\n",
- "Schouten (6.01, 0.48); (6.24, 0.70)\n",
- "Villar (5.78, 0.32); (5.72, 0.28)\n",
- "Saelemaekers (6.00, 0.40); (6.15, 0.54)\n",
- "Vranckx (5.95, 0.39); (6.01, 0.39)\n",
- "Basic (5.83, 0.35); (5.84, 0.36)\n",
- "Aebischer (5.85, 0.30); (5.84, 0.29)\n",
- "Marcos Antonio (5.82, 0.32); (5.77, 0.28)\n",
- "Ranocchia F. (5.96, 0.41); (6.20, 0.68)\n",
- "Bistrovic (5.84, 0.31); (5.85, 0.32)\n",
- "Verre (5.67, 0.37); (5.62, 0.32)\n",
- "Gagliardini (6.10, 0.39); (6.38, 0.71)\n",
- "Barberis (5.72, 0.38); (5.71, 0.33)\n",
- "Leris (5.69, 0.35); (5.70, 0.41)\n",
- "Vieira (5.70, 0.34); (5.69, 0.34)\n",
- "Winks (5.85, 0.41); (5.90, 0.43)\n",
- "Castrovilli (5.97, 0.42); (6.14, 0.61)\n",
- "Maldini (6.11, 0.40); (6.71, 1.15)\n",
- "Marin (5.87, 0.51); (5.89, 0.48)\n",
- "Maleh (5.97, 0.37); (6.19, 0.65)\n",
- "Matheus Henrique (5.88, 0.39); (5.90, 0.34)\n",
- "Asllani (6.00, 0.39); (6.11, 0.49)\n",
- "Moro N. (5.84, 0.34); (5.83, 0.31)\n",
- "Oudin (6.01, 0.35); (6.09, 0.41)\n",
- "Duncan (5.92, 0.43); (6.10, 0.62)\n",
- "Molina S. (5.78, 0.38); (5.79, 0.37)\n",
- "Kastanos (5.83, 0.45); (5.83, 0.40)\n",
- "Valoti (5.78, 0.33); (5.72, 0.28)\n",
- "Gaetano (6.03, 0.36); (6.09, 0.39)\n",
- "Escalante (5.77, 0.42); (5.73, 0.35)\n",
- "Bohinen (5.82, 0.38); (5.84, 0.38)\n",
- "Terracciano F. (6.01, 0.30); (6.02, 0.34)\n",
- "Milanese (5.88, 0.44); (5.93, 0.44)\n",
- "Castagnetti (5.97, 0.33); (5.99, 0.34)\n",
- "Listkowski (5.93, 0.32); (5.91, 0.30)\n",
- "Adli (5.73, 0.33); (5.73, 0.32)\n",
- "Hrustic (5.66, 0.42); (5.61, 0.36)\n",
- "D'andrea (5.95, 0.34); (6.00, 0.43)\n",
- "Benassi (5.77, 0.32); (5.77, 0.33)\n",
- "Baez (5.92, 0.46); (5.97, 0.44)\n",
- "Vignato (5.87, 0.33); (5.87, 0.32)\n",
- "Obiang (5.86, 0.39); (5.84, 0.32)\n",
- "Askildsen (5.84, 0.33); (5.78, 0.29)\n",
- "Hongla (5.78, 0.37); (5.83, 0.45)\n",
- "Yepes (6.04, 0.33); (6.10, 0.35)\n",
- "Helgason (5.82, 0.33); (5.80, 0.29)\n",
- "Bondo (5.91, 0.42); (5.94, 0.37)\n",
- "Ellertsson (5.88, 0.38); (5.90, 0.34)\n",
- "Capezzi (5.93, 0.33); (5.92, 0.30)\n",
- "Jajalo (5.87, 0.33); (5.85, 0.30)\n",
- "Machin (5.84, 0.41); (5.86, 0.39)\n",
- "Bakayoko (5.80, 0.37); (5.74, 0.32)\n",
- "Scozzarella (5.84, 0.41); (5.86, 0.39)\n",
- "Fagioli (6.12, 0.46); (6.60, 0.94)\n",
- "Demme (6.00, 0.37); (6.19, 0.57)\n",
- "Akpa Akpro (5.90, 0.44); (5.95, 0.42)\n",
- "Darboe (5.90, 0.43); (6.01, 0.43)\n",
- "Bove (6.20, 0.36); (6.67, 0.90)\n",
- "Urbanski (5.92, 0.41); (5.96, 0.41)\n",
- "Bertini (5.94, 0.41); (5.99, 0.39)\n",
- "Cortinovis (5.85, 0.39); (5.89, 0.42)\n",
- "Romero L. (5.81, 0.31); (5.80, 0.31)\n",
- "Bianco (5.92, 0.40); (5.98, 0.46)\n",
- "Sher (5.96, 0.31); (5.94, 0.29)\n",
- "Nguiamba (6.04, 0.37); (6.08, 0.34)\n",
- "Volpato (6.23, 0.40); (7.16, 1.52)\n",
- "Praszelik (6.00, 0.30); (5.98, 0.30)\n",
- "Trimboli (5.85, 0.41); (5.90, 0.43)\n",
- "Pafundi (5.93, 0.40); (5.98, 0.40)\n",
- "Bjorkengren (5.94, 0.42); (6.00, 0.43)\n",
- "Vignato S. (5.88, 0.43); (5.91, 0.41)\n",
- "Samek (5.94, 0.42); (6.00, 0.43)\n",
- "Zerbin (5.95, 0.35); (5.99, 0.38)\n",
- "Ilkhan (5.75, 0.35); (5.71, 0.30)\n",
- "Degli Innocenti (5.94, 0.46); (5.99, 0.44)\n",
- "Fazzini (5.63, 0.48); (5.58, 0.38)\n",
- "Acella (5.95, 0.43); (6.03, 0.48)\n",
- "Tripi (5.92, 0.41); (5.95, 0.40)\n",
- "Garbett (5.92, 0.41); (5.97, 0.43)\n",
- "Iling-Junior (5.99, 0.50); (6.03, 0.45)\n",
- "Immobile (6.49, 0.72); (8.44, 2.88)\n",
- "Vlahovic (6.35, 0.70); (8.01, 2.47)\n",
- "Rafael Leao (6.46, 0.68); (8.11, 2.48)\n",
- "Martinez L. (6.32, 0.73); (8.24, 2.70)\n",
- "Dybala (6.33, 0.61); (7.56, 1.93)\n",
- "Arnautovic (6.23, 0.67); (7.74, 2.21)\n",
- "Beto (6.20, 0.69); (7.68, 2.18)\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Giroud (6.25, 0.68); (7.80, 2.27)\n",
- "Osimhen (6.39, 0.71); (8.15, 2.58)\n",
- "Deulofeu (6.42, 0.64); (7.86, 2.22)\n",
- "Lukaku (6.47, 0.71); (8.41, 2.84)\n",
- "Milik (6.18, 0.56); (7.02, 1.39)\n",
- "Pedro (6.26, 0.61); (7.42, 1.81)\n",
- "Abraham (6.23, 0.71); (7.87, 2.37)\n",
- "Berardi (6.46, 0.68); (8.20, 2.60)\n",
- "Dia (6.25, 0.69); (7.86, 2.33)\n",
- "Lookman (6.44, 0.65); (8.01, 2.39)\n",
- "Simeone (6.18, 0.73); (7.79, 2.32)\n",
- "Correa (6.13, 0.59); (7.15, 1.63)\n",
- "Zapata D. (6.39, 0.69); (8.22, 2.64)\n",
- "Dzeko (6.30, 0.68); (7.94, 2.38)\n",
- "Nzola (5.88, 0.43); (6.24, 0.84)\n",
- "Sanabria (6.12, 0.58); (7.16, 1.62)\n",
- "Muriel (6.36, 0.68); (7.99, 2.41)\n",
- "Rebic (6.06, 0.49); (6.59, 1.03)\n",
- "Bonazzoli (6.16, 0.60); (7.25, 1.71)\n",
- "Caprari (6.36, 0.64); (7.86, 2.24)\n",
- "Di Maria (6.08, 0.65); (6.81, 1.40)\n",
- "Lozano (6.19, 0.58); (7.16, 1.57)\n",
- "Ceesay (6.07, 0.55); (6.97, 1.44)\n",
- "Pinamonti (6.11, 0.65); (7.38, 1.91)\n",
- "Kouame' (6.19, 0.61); (7.36, 1.79)\n",
- "Lauriente' (6.28, 0.69); (7.47, 1.95)\n",
- "Jovic (6.02, 0.61); (6.88, 1.46)\n",
- "Barrow (6.11, 0.61); (7.09, 1.58)\n",
- "Henry (6.07, 0.63); (7.08, 1.64)\n",
- "Piatek (6.03, 0.52); (6.87, 1.36)\n",
- "Gonzalez N. (6.24, 0.64); (7.47, 1.89)\n",
- "Dessers (6.09, 0.49); (6.91, 1.34)\n",
- "Caputo (6.02, 0.64); (6.99, 1.58)\n",
- "Raspadori (6.11, 0.67); (7.15, 1.70)\n",
- "Lammers (5.92, 0.39); (6.09, 0.62)\n",
- "Okereke (6.00, 0.55); (6.62, 1.19)\n",
- "Cabral (6.08, 0.48); (6.86, 1.29)\n",
- "Gabbiadini (6.10, 0.65); (7.24, 1.78)\n",
- "Belotti (6.21, 0.66); (7.62, 2.11)\n",
- "Origi (6.03, 0.56); (6.70, 1.22)\n",
- "Botheim (5.97, 0.42); (6.39, 0.88)\n",
- "Alvarez A. (6.13, 0.60); (7.13, 1.62)\n",
- "Verde (6.25, 0.52); (7.14, 1.47)\n",
- "Destro (6.06, 0.65); (7.23, 1.80)\n",
- "Kean (6.02, 0.56); (6.70, 1.26)\n",
- "Pellegri (5.84, 0.33); (5.91, 0.54)\n",
- "Satriano (5.89, 0.45); (6.28, 0.89)\n",
- "Success (6.24, 0.59); (7.14, 1.49)\n",
- "Mota (5.84, 0.41); (6.25, 0.86)\n",
- "Banda (5.98, 0.36); (6.06, 0.45)\n",
- "Hojlund (6.01, 0.43); (6.54, 1.01)\n",
- "Lasagna (5.89, 0.40); (6.19, 0.78)\n",
- "Pjaca (5.99, 0.47); (6.45, 0.97)\n",
- "Gytkjaer (5.85, 0.37); (6.14, 0.74)\n",
- "Petagna (5.99, 0.54); (6.66, 1.23)\n",
- "Nestorovski (6.07, 0.46); (6.53, 0.95)\n",
- "Zanimacchia (5.97, 0.34); (6.06, 0.45)\n",
- "Piccoli (5.70, 0.39); (5.67, 0.34)\n",
- "Kallon (5.80, 0.36); (5.82, 0.40)\n",
- "Ciofani D. (6.13, 0.41); (6.85, 1.25)\n",
- "Di Francesco F. (6.13, 0.47); (6.73, 1.09)\n",
- "Boga (5.98, 0.38); (6.02, 0.39)\n",
- "Zirkzee (6.04, 0.53); (6.82, 1.31)\n",
- "Quagliarella (5.88, 0.47); (6.24, 0.85)\n",
- "Ibrahimovic (6.36, 0.65); (7.89, 2.28)\n",
- "Shomurodov (6.04, 0.51); (6.80, 1.30)\n",
- "Djuric (5.89, 0.30); (5.86, 0.30)\n",
- "Strelec (5.77, 0.38); (5.95, 0.66)\n",
- "Antiste (5.75, 0.37); (5.80, 0.49)\n",
- "Seck (5.94, 0.33); (6.04, 0.51)\n",
- "Buonaiuto (6.05, 0.36); (6.19, 0.46)\n",
- "Sansone (6.00, 0.46); (6.40, 0.86)\n",
- "Pussetto (5.99, 0.55); (6.67, 1.24)\n",
- "Cambiaghi (5.91, 0.30); (5.89, 0.31)\n",
- "Colombo (6.01, 0.49); (6.74, 1.24)\n",
- "Afena-Gyan (5.87, 0.54); (6.22, 0.91)\n",
- "Defrel (5.84, 0.42); (6.00, 0.63)\n",
- "Karamoh (6.03, 0.33); (6.11, 0.39)\n",
- "Cancellieri (6.19, 0.49); (6.76, 1.09)\n",
- "Tsadjout (6.03, 0.42); (6.20, 0.57)\n",
- "Rodriguez P. (5.92, 0.34); (5.94, 0.34)\n",
- "Valencia D. (5.68, 0.32); (5.70, 0.29)\n",
- "Edera (5.92, 0.43); (5.98, 0.47)\n",
- "Oddei (6.12, 0.31); (6.11, 0.31)\n",
- "Raimondo (5.95, 0.43); (6.02, 0.45)\n",
- "Kristoffersen (5.89, 0.43); (5.94, 0.41)\n",
- "Kaio Jorge (5.98, 0.36); (6.03, 0.39)\n",
- "De Luca (5.86, 0.44); (5.92, 0.46)\n",
- "Soule' (6.01, 0.45); (6.08, 0.39)\n",
- "Lazetic (5.97, 0.41); (6.05, 0.46)\n",
- "Voelkerling Persson (5.94, 0.44); (6.01, 0.45)\n",
- "Sanca (5.91, 0.37); (5.94, 0.36)\n"
- ]
- }
- ],
- "source": [
- "output = pd.DataFrame(columns = ['player', 'role', 'team', 'oppteam', 'home', 'starter', 'vote%', 'MV', 'MV std', 'FV', 'FV std', 'MV loc', 'MV scale', 'MV skewness', 'MV tailweight', 'FV loc', 'FV scale', 'FV skewness', 'FV tailweight', 'Clean Sheet %'])\n",
- "\n",
- "tot_matches = 2 # home and not home\n",
- "\n",
- "current_season_games = max(players_old['games'])\n",
- "\n",
- "for i in range(players.shape[0]):\n",
- " home = 0\n",
- " \n",
- " for k in range(tot_matches):\n",
- " #matchday_out = k + 1\n",
- " #[player, team, oppteam, home] = PlayerMatch(players.index[i], matchday_out)\n",
- " \n",
- " player = players.index[i]\n",
- " team = players['team'][i]\n",
- " oppteam = 'Avg'\n",
- " home = not home\n",
- " \n",
- " oldseason_ok = True\n",
- " \n",
- " try:\n",
- " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home, oldseason = True)\n",
- " games = max( players_old['games'][i], players_old['gk_games'][i] )\n",
- " mins = max( players_old['minutes'][i], players_old['gk_minutes'][i] )\n",
- " except:\n",
- " [mean, std, dist] = vote_predict_NNb(player, team, oppteam, home = home)\n",
- " oldseason_ok = False\n",
- " games = 0\n",
- " mins = 0\n",
- " \n",
- "\n",
- " role = players['r'][player] \n",
- "\n",
- " starter = 0\n",
- " voteperc = 0\n",
- " \n",
- " cs = 0\n",
- " if(role == 'P'):\n",
- " cs = dist[2].probs.numpy()[0] * 100\n",
- " \n",
- " starter = int( player in gk_starters )\n",
- " if(starter):\n",
- " voteperc = 100\n",
- " else:\n",
- " voteperc = 0\n",
- " else:\n",
- " starter = int ( 1 * (games >= current_season_games * 2/3 and mins / games >= 45 ) )\n",
- " voteperc = int( min( 1, games / current_season_games ) * 100) \n",
- " \n",
- " if (not oldseason_ok):\n",
- " starter = -1\n",
- " voteperc = -100\n",
- "\n",
- " if(k == 0):\n",
- " row = [player, role, team, 'Avg', 1, starter, voteperc]\n",
- " \n",
- " numrow_ = [mean[0], std[0], \n",
- " mean[1], std[1], \n",
- " dist[0].loc.numpy()[0], dist[0].scale.numpy()[0], \n",
- " dist[0].skewness.numpy()[0], dist[0].tailweight.numpy()[0], \n",
- " dist[1].loc.numpy()[0], dist[1].scale.numpy()[0], \n",
- " dist[1].skewness.numpy()[0], dist[1].tailweight.numpy()[0],\n",
- " cs] \n",
- "\n",
- " if(k == 0):\n",
- " numrow = numrow_\n",
- " else:\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] += numrow_[j]\n",
- "\n",
- " for j in range(len(numrow)):\n",
- " numrow[j] /= tot_matches\n",
- " \n",
- " print(players.index[i] + ' (' + \"{:.2f}\".format(numrow[0]) + ', ' + \"{:.2f}\".format(numrow[1]) + \n",
- " '); (' + \"{:.2f}\".format(numrow[2]) + ', ' + \"{:.2f}\".format(numrow[3]) + ')' )\n",
- " \n",
- " row += numrow # list concat\n",
- " \n",
- " row_df = pd.DataFrame(data = [row], columns = output.columns)\n",
- "\n",
- " output = pd.concat([output, row_df])\n",
- " \n",
- " \n",
- "\n",
- "output = output.set_index('player')\n",
- "\n",
- "output = output.sort_values(['role', 'FV'], ascending = [False, False])\n",
- "\n",
- "template_file = 'outputs/pred_matchday_base.xlsx'\n",
- "dest_file = 'outputs/pred_avg_seriea_season2122.xlsx'\n",
- "\n",
- "shutil.copyfile(template_file, dest_file)\n",
- "\n",
- "with pd.ExcelWriter(dest_file, mode = 'a', engine=\"openpyxl\", if_sheet_exists = 'replace') as writer: \n",
- " output.to_excel(writer, sheet_name='data')"
- ]
- },
{
"cell_type": "markdown",
"id": "cf9df3bb",
@@ -7283,66 +9201,82 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 34,
"id": "7300f3c2",
- "metadata": {},
+ "metadata": {
+ "scrolled": true
+ },
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Terracciano: MV 6.30 ± 0.71; FV 4.72 + 1.43 (5.7% cs)\n",
- "Maignan: MV 6.27 ± 0.84; FV 5.66 + 1.16 (56.8% cs)\n",
- "Tatarusanu: MV 6.22 ± 0.78; FV 5.53 + 1.19 (45.2% cs)\n",
- "Handanovic: MV 5.89 ± 0.66; FV 3.40 + 1.88 (1.4% cs)\n",
- "Onana: MV 6.32 ± 0.73; FV 5.05 + 1.33 (11.7% cs)\n",
- "Sepe: MV 6.39 ± 0.74; FV 4.76 + 1.42 (6.4% cs)\n",
- "Di Gregorio: MV 5.83 ± 0.80; FV 3.91 + 1.59 (4.5% cs)\n",
- "Szczesny: MV 6.15 ± 0.77; FV 5.54 + 1.19 (47.8% cs)\n",
- "Audero: MV 6.34 ± 0.77; FV 5.27 + 1.28 (17.9% cs)\n",
- "Silvestri: MV 6.34 ± 0.71; FV 4.18 + 1.60 (2.7% cs)\n",
- "Carnesecchi: MV 6.17 ± 0.82; FV 5.58 + 1.17 (56.1% cs)\n",
- "Dragowski: MV 6.52 ± 0.82; FV 5.18 + 1.30 (13.1% cs)\n",
- "Milinkovic-Savic V.: MV 6.27 ± 0.77; FV 4.90 + 1.38 (12.4% cs)\n",
- "Sportiello: MV 6.32 ± 0.86; FV 5.06 + 1.31 (18.5% cs)\n",
- "Falcone: MV 6.34 ± 0.79; FV 5.47 + 1.21 (34.2% cs)\n",
- "Consigli: MV 6.12 ± 0.70; FV 4.86 + 1.35 (12.9% cs)\n",
- "Vicario: MV 6.32 ± 0.85; FV 5.64 + 1.17 (51.2% cs)\n"
+ "Meret: MV 6.28 ± 0.85; FV 5.50 + 1.44 (51.2% cs)\n",
+ "Szczesny: MV 6.24 ± 0.82; FV 5.66 + 1.20 (64.1% cs)\n",
+ "Provedel: MV 6.25 ± 0.83; FV 5.65 + 1.27 (62.9% cs)\n",
+ "Maignan: MV 6.51 ± 0.90; FV 5.93 + 1.10 (45.0% cs)\n",
+ "Rui Patricio: MV 6.05 ± 0.77; FV 5.38 + 1.25 (53.8% cs)\n",
+ "Onana: MV 6.37 ± 0.78; FV 5.16 + 1.17 (18.4% cs)\n",
+ "Milinkovic-Savic V.: MV 6.20 ± 0.77; FV 5.35 + 0.89 (26.9% cs)\n",
+ "Musso: MV 6.36 ± 0.86; FV 5.64 + 1.24 (43.8% cs)\n",
+ "Vicario: MV 6.46 ± 0.87; FV 5.88 + 1.21 (60.8% cs)\n",
+ "Silvestri: MV 6.39 ± 0.83; FV 5.71 + 1.16 (46.2% cs)\n",
+ "Terracciano: MV 6.19 ± 0.77; FV 4.58 + 1.10 (4.1% cs)\n",
+ "Skorupski: MV 6.17 ± 0.71; FV 4.56 + 0.94 (5.2% cs)\n",
+ "Falcone: MV 6.37 ± 0.84; FV 5.13 + 1.02 (8.7% cs)\n",
+ "Di Gregorio: MV 6.42 ± 0.87; FV 5.69 + 0.99 (36.9% cs)\n",
+ "Consigli: MV 6.39 ± 0.78; FV 4.83 + 1.19 (7.7% cs)\n",
+ "Carnesecchi: MV 6.33 ± 0.82; FV 5.49 + 1.28 (37.1% cs)\n",
+ "Montipo': MV 6.30 ± 0.89; FV 4.39 + 1.24 (2.4% cs)\n",
+ "Audero: MV 6.26 ± 0.81; FV 4.60 + 1.03 (4.2% cs)\n",
+ "Dragowski: MV 6.37 ± 0.81; FV 4.71 + 1.13 (3.1% cs)\n",
+ "Ochoa: MV 6.44 ± 0.82; FV 5.12 + 1.19 (6.2% cs)\n",
+ "Tatarusanu: MV 5.86 ± 0.65; FV 3.31 + 2.21 (0.9% cs)\n",
+ "Handanovic: MV 6.09 ± 0.70; FV 4.79 + 1.18 (11.7% cs)\n",
+ "Sportiello: MV 6.22 ± 0.78; FV 5.37 + 1.22 (27.8% cs)\n",
+ "Sepe: MV 6.52 ± 0.80; FV 5.22 + 1.24 (12.7% cs)\n"
]
},
{
"data": {
"text/plain": [
- "[array([6.31691631, 5.6403682 ]),\n",
- " array([0.42497158, 0.58689165], dtype=float32),\n",
+ "[array([6.51791594, 5.21583604]),\n",
+ " array([0.40012765, 0.61914635], dtype=float32),\n",
" [,\n",
" ,\n",
" ]]"
]
},
- "execution_count": 28,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "predict_player('Terracciano', log = 1, plot = 0)\n",
+ "predict_player('Meret', log = 1, plot = 0)\n",
+ "predict_player('Szczesny', log = 1, plot = 0)\n",
+ "predict_player('Provedel', log = 1, plot = 0)\n",
"predict_player('Maignan', log = 1, plot = 0)\n",
+ "predict_player('Rui Patricio', log = 1, plot = 0)\n",
+ "predict_player('Onana', log = 1, plot = 0)\n",
+ "predict_player('Milinkovic-Savic V.', log = 1, plot = 0)\n",
+ "predict_player('Musso', log = 1, plot = 0)\n",
+ "predict_player('Vicario', log = 1, plot = 0)\n",
+ "predict_player('Silvestri', log = 1, plot = 0)\n",
+ "predict_player('Terracciano', log = 1, plot = 0)\n",
+ "predict_player('Skorupski', log = 1, plot = 0)\n",
+ "predict_player('Falcone', log = 1, plot = 0)\n",
+ "predict_player('Di Gregorio', log = 1, plot = 0)\n",
+ "predict_player('Consigli', log = 1, plot = 0)\n",
+ "predict_player('Carnesecchi', log = 1, plot = 0)\n",
+ "predict_player('Montipo\\'', log = 1, plot = 0)\n",
+ "predict_player('Audero', log = 1, plot = 0)\n",
+ "predict_player('Dragowski', log = 1, plot = 0)\n",
+ "predict_player('Ochoa', log = 1, plot = 0)\n",
"predict_player('Tatarusanu', log = 1, plot = 0)\n",
"predict_player('Handanovic', log = 1, plot = 0)\n",
- "predict_player('Onana', log = 1, plot = 0)\n",
- "predict_player('Sepe', log = 1, plot = 0)\n",
- "predict_player('Di Gregorio', log = 1, plot = 0)\n",
- "predict_player('Szczesny', log = 1, plot = 0)\n",
- "predict_player('Audero', log = 1, plot = 0)\n",
- "predict_player('Silvestri', log = 1, plot = 0)\n",
- "predict_player('Carnesecchi', log = 1, plot = 0)\n",
- "predict_player('Dragowski', log = 1, plot = 0)\n",
- "predict_player('Milinkovic-Savic V.', log = 1, plot = 0)\n",
"predict_player('Sportiello', log = 1, plot = 0)\n",
- "predict_player('Falcone', log = 1, plot = 0)\n",
- "predict_player('Consigli', log = 1, plot = 0)\n",
- "predict_player('Vicario', log = 1, plot = 0)"
+ "predict_player('Sepe', log = 1, plot = 0)"
]
},
{
@@ -7402,7 +9336,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 37,
"id": "4b9f5a7d",
"metadata": {},
"outputs": [
@@ -7410,32 +9344,25 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Skriniar: MV 6.06 ± 0.88; FV 6.21 + 1.04\n",
- "Cuadrado: MV 6.11 ± 0.82; FV 6.33 + 1.20\n",
- "Bastoni: MV 6.10 ± 0.80; FV 6.23 + 0.95\n",
- "Barak: MV 6.08 ± 1.33; FV 7.10 + 3.33\n",
- "Politano: MV 6.08 ± 0.74; FV 6.35 + 1.22\n",
- "Smalling: MV 6.18 ± 0.92; FV 6.51 + 1.54\n",
- "Gosens: MV 6.02 ± 0.66; FV 6.08 + 0.75\n",
- "Skriniar: MV 5.75 ± 0.68; FV 5.70 + 0.58\n",
- "Cuadrado: MV 5.82 ± 0.95; FV 5.80 + 0.92\n",
- "Bastoni: MV 5.84 ± 0.91; FV 5.86 + 0.82\n",
- "Barak: MV 5.76 ± 0.70; FV 5.75 + 0.72\n",
- "Politano: MV 6.19 ± 0.77; FV 6.62 + 1.48\n",
- "Smalling: MV 6.17 ± 1.06; FV 6.60 + 1.91\n",
- "Gosens: MV 5.75 ± 0.65; FV 5.80 + 0.85\n"
+ "Skriniar: MV 6.14 ± 0.82; FV 6.38 + 1.13\n",
+ "Cuadrado: MV 6.29 ± 0.96; FV 6.83 + 1.94\n",
+ "Bastoni: MV 6.13 ± 0.73; FV 6.32 + 0.98\n",
+ "Barak: MV 6.31 ± 1.41; FV 7.50 + 3.97\n",
+ "Politano: MV 6.18 ± 0.82; FV 6.57 + 1.55\n",
+ "Smalling: MV 6.17 ± 0.86; FV 6.56 + 1.43\n",
+ "Gosens: MV 6.05 ± 0.54; FV 6.11 + 0.66\n"
]
},
{
"data": {
"text/plain": [
- "[array([5.75403311, 5.80380687]),\n",
- " array([0.3249786 , 0.42722106], dtype=float32),\n",
+ "[array([6.04807256, 6.10812885]),\n",
+ " array([0.27137518, 0.32888246], dtype=float32),\n",
" [,\n",
" ]]"
]
},
- "execution_count": 35,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
@@ -7466,7 +9393,7 @@
"outputs": [
{
"data": {
- "image/png": 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0XLx40dyH5caNGzhy5AgcHR3x0UcfVeq+fv31V3NScbdhw4bh22+/Rd++fdG7d2+MGzcOAQEByMjIQEJCAo4fP47169cDMH3h/Pe//8WMGTPQtWtXnDlzBrNmzUJoaCj0er35nGPGjMH8+fMxduxYXLp0Cc2bN8eBAwcwe/Zs9OvXDz169Cgz1qK+IGfPnrUY1VSSyMhIREZGVuIdKW7AgAFYsWIFwsLC0KJFC8TGxmLu3LlVMp+Fm5sbBg8ejBUrVuDWrVt48803LfprnDp1Cq+88gqefvppNGjQAEqlErt27cKpU6fw7rvvWjUWmUyGOXPmYPTo0RgwYABefPFFaDQazJ07F7du3cInn3xy33N06tQJ//nPfzB+/HgcO3YMXbp0gaOjI5KTk3HgwAE0b968wgljvXr1YG9vjx9++AGNGzeGk5MT/P394e/vX9lbBVD+z3GRP//8E56enpVKqKiGkrb/LNUmRaNpjh49WmxfQUGBGBQUJDZo0EDU6/WiKIriJ598IoaEhIgqlUps3LixuGTJkhJ79Jc2miY6Olps1KiRqFKpxLp164pRUVHismXLRABiYmKiRdlNmzaJ3bp1E11cXESVSiUGBweLw4YNE//44w9zmYqOpiltKXLy5Elx+PDhore3t2hnZyf6+vqKTzzxhLho0SJzGY1GI7755ptiQECAqFarxTZt2oibNm0Sx44dW2z0Snp6ujhp0iTRz89PVCgUYnBwsDht2jSxsLDwvjFnZWWJTk5O4pw5cyy23z2apiyVHU2TmZkpTpw4UfT29hYdHBzExx9/XNy/f7/YtWtXsWvXrveNozwjdO62Y8cO87/D2bNnLfbduHFDHDdunBgWFiY6OjqKTk5OYosWLcT//e9/5s9kae43gure0TRFNm3aJLZv315Uq9Wio6Oj2L17d/HgwYMVOnd0dLTYvn170dHRUbS3txfr1asnjhkzRjx27Ji5TGk/IyV9jtasWSOGhYWJdnZ2IgBxxowZFnHcLTg4WOzfv3+x897771eRz7HRaBSDg4OLjXAj2yaIYgkzQBFRrfPqq69i586dOH36dJU/g4SoNDt37kSvXr1w+vRphIWFSR0OVRMmI0QEwDQ6o2HDhli2bNkDj5Ihqqxu3bqhfv36WLJkidShUDVinxEiAmCahvuHH34oNqSUqLpkZmaia9eu5iHuVHuwZoSIiIgkxaG9REREJCkmI0RERCQpJiNEREQkqRrRgdVoNOL69etwdnbmkEMiIqIaQhRF5OTkwN/f32KSwXvViGTk+vXrCAwMlDoMIiIiqoQrV66UObNyjUhGiqbUvnLlClxcXCSOhqjmycsDimb0vn4dcHSUNh5ryNPmwf9z001df+M6HJU2cFNENiY7OxuBgYElPhrjbjUiGSlqmnFxcWEyQlQJdz0vEC4utpGMyLVy4PYDmV1cXJiMED3E7tfFgh1YiYiISFI1omaEiB6MQgGMHXtn3RYoZAqMbTnWvE5ENVeNmIE1Ozsbrq6uyMrKYjMNERFRDVHe72/+OUFEZGMMBgN0Op3UYVAtIJfLoVAoHnjaDSYjRLWAKAL5+aZ1BwfAFqbrEUUR+TrTTTnYOXAOottyc3Nx9epV1IBKb7IRDg4O8PPzg1KprPQ5mIwQ1QL5+YCTk2k9N9c2RtPk6/LhFGW6qdxpuRxNA1ONyNWrV+Hg4IA6deowQaMqJYoitFotbt68icTERDRo0KDMic3KwmSEiMhG6HQ6iKKIOnXqwN7eXupwqBawt7eHnZ0dLl++DK1WC7VaXanzcGgvEZGNYY0IVafK1oZYnMMKcRARERFVGpMRIiIikhSTESIiIpIUkxEiIpLUuHHjIAgCJk2aVGzf5MmTIQgCxo0bBwAYOHAgevToUeJ5Dh8+DEEQcPz48VKvlZCQgCeffBKurq5wdnbGY489hqSkpFLLb9y4EeHh4XBzc4OjoyNatWqF77//vtTyUVFREAQBU6ZMKbWMNRQWFmLcuHFo3rw5FAoFBg0aVKHjNRoNWrVqBUEQEBcXZ96enp6OPn36wN/fHyqVCoGBgXjllVeQnZ1t3Ru4B5MRolpALgeGDTMtdz80ryaTy+QY1mQYhjUZBrnMRm6qFgsMDMSPP/6IgoIC87bCwkKsWbMGQUFB5m0TJ07Erl27cPny5WLniI6ORqtWrdCmTZsSr3HhwgU8/vjjCAsLw549e3Dy5El88MEHZY4A8fDwwPTp03H48GGcOnUK48ePx/jx47F9+/ZiZY8ePYrFixejRYsWFbl1AMDMmTPNCVd5GAwG2Nvb47XXXis1OSvL22+/Df+iR3nfRSaT4amnnsIvv/yCs2fPYsWKFfjjjz9KTBStiUN7iWoBtRpYv17qKKxLrVBj/dM2dlNWdvdkd9WtopPrtWnTBhcvXsTGjRsxevRoAKZaicDAQNStW9dcbsCAAfD29saKFSswY8YM8/b8/HysXbsWs2fPLvUa06dPR79+/TBnzhzztrvPXZKIiAiL16+//jpWrlyJAwcOoHfv3ubtubm5GD16NJYsWYKPP/64XPf8IBwdHbFw4UIAwMGDB3Hr1q1yH/v7779jx44d+Omnn/D7779b7HN3d8dLL71kfh0cHIzJkydj7ty5Vom7NKwZISKyUUWT3UmxVCYJGj9+PJYvX25+HR0djQkTJliUUSgUGDNmDFasWGExy+z69euh1WrNicy9jEYjtmzZgoYNG6J3797w9vZG+/btsWnTpnLHJ4oidu7ciTNnzqBLly4W+15++WX079+/UrUU1enGjRt44YUX8P3338PBweG+5a9fv46NGzeia9euVRoXkxEiInooPPfcczhw4AAuXbqEy5cv4+DBg3j22WeLlZswYQIuXbqEPXv2mLdFR0djyJAhcHd3L/HcqampyM3NxSeffII+ffpgx44dGDx4MIYMGYK9e/eWGVdWVhacnJygVCrRv39/fP311+jZs6d5/48//ojY2FhERUWV+173798PJycn8zJ79mz88MMPxbZZkyiKGDduHCZNmoTw8PAyy44cORIODg4ICAiAi4sLli5datVY7sVmGqJaIC/P9qaDz9PmcTr4+3BwMP17S3XtivLy8kL//v2xcuVKiKKI/v37w8vLq1i5sLAwdOzYEdHR0ejWrRsuXLiA/fv3Y8eOHaWe22g0AgCeeuopTJ06FQDQqlUrHDp0CIsWLSrzL39nZ2fExcUhNzcXO3fuRGRkJOrWrYuIiAhcuXIFr7/+Onbs2FGh2UfDw8MtOo5+9dVXuHbtGj799FPzNg8Pj3Kfrzy+/vprZGdnY9q0afct+7///Q8zZszAmTNn8N577yEyMhILFiywajx3q3Aysm/fPsydOxexsbFITk7Gzz//XO5evAcPHkTXrl3RrFkzi38EIiKyPkGoeYnnhAkT8MorrwAA5s+fX2q5iRMn4pVXXsH8+fOxfPlyBAcHo3v37qWW9/LygkKhQJMmTSy2N27cGAcOHCgzJplMhvr16wMwJTAJCQmIiopCREQEYmNjkZqairZt25rLGwwG7Nu3D9988w00Gg3kJfQat7e3N58TMCUe2dnZFtusbdeuXfjzzz+hUqkstoeHh2P06NFYuXKleZuvry98fX0RFhYGT09PdO7cGR988AH8/PyqJLYKN9Pk5eWhZcuW+Oabbyp0XFZWFsaMGVPmh4WIiGq3Pn36QKvVQqvVWnQQvdfw4cMhl8uxevVqrFy5EuPHjy9zGnylUol27drhzJkzFtvPnj2L4ODgCsUoiiI0Gg0AoHv37vj7778RFxdnXoq+3OPi4kpMRKTy1Vdf4eTJk+Y4t27dCgBYu3Yt/u///q/U44r65hTdc1WocM1I37590bdv3wpf6MUXX8SoUaMgl8sr1GGIiIhqD7lcjoSEBPN6aZycnDBixAi89957yMrKKtew2LfeegsjRoxAly5d0K1bN2zbtg2//vqrRd+TMWPGICAgwNz/IyoqCuHh4ahXrx60Wi22bt2K7777zjySxdnZGc2aNbO4jqOjIzw9PYttv5tWq0VGRob5ddHQ2ZSUFIt7dCpqXy1BfHy8+Tw5OTnmFodWrVoBAI4cOYIxY8Zg586dCAgIsBgiXXR+AKhXrx4eeeQRAMDWrVtx48YNtGvXDk5OToiPj8fbb7+NTp06ISQkpNRYHlS19BlZvnw5Lly4gFWrVpVryJNGo7HIwKp6shUiInp4uLi4lKvcxIkTsWzZMvTq1avYF21JBg8ejEWLFiEqKgqvvfYaGjVqhJ9++gmPP/64uUxSUpLFg9/y8vIwefJkXL16Ffb29ggLC8OqVaswYsSIit/YXQ4dOoRu3bqVWWbGjBmYOXNmqfv79etnMd9K69atAdypycjPz8eZM2eg0+nKHZe9vT2WLFmCqVOnQqPRIDAwEEOGDMG7775b7nNUhiDePTaqogcLwn37jJw7dw6PP/449u/fj4YNG2LmzJnYtGlTmX1GZs6ciY8++qjY9qysrHJ/SInoDnZgrR0KCwuRmJiI0NDQSj/KnaiiyvrcZWdnw9XV9b7f31U6tNdgMGDUqFH46KOP0LBhw3IfN23aNGRlZZmXK1euVGGUREREJKUqbabJycnBsWPHcOLECXPvaKPRCFEUoVAosGPHDjzxxBPFjlOpVMV6+xJR5cnlQL9+d9ZtgVwmR78G/czrRFRzVWky4uLigr///tti24IFC7Br1y5s2LABoaGhVXl5IrpNrQa2bJE6CutSK9TYMsrGboqolqpwMpKbm4vz58+bXycmJiIuLg4eHh4ICgrCtGnTcO3aNXz33XeQyWTFehN7e3tDrVaX2cuYiIiIao8KJyPHjh2z6AEcGRkJABg7dixWrFiB5OTkMh/HTERERHS3BxpNU13K2xuXiEqWlwd4e5vWU1NtZzSN92emm0p9M5WjacDRNCQNa4ym4bNpiGoJqR4lX5XydTZ4U0S1EJ/aS0RERJJiMkJERESSYjJCREREkmIyQkREkho3bhwEQSi2nD9/HgMHDkSPHj1KPO7w4cMQBAHHjx8vcX9J5xQEAXPnzi01Fp1Oh1mzZqFevXpQq9Vo2bIltm3bZlFm5syZxc7p6+tb+Teggs6fPw9nZ2e4ubmVWW7Pnj2lvgdHjx41l9u5cyc6duwIZ2dn+Pn54Z133oFer6/iu7DEZISIiCTXp08fJCcnWyyhoaGYOHEidu3aZfFAuCLR0dFo1aoV2rRpU+I57z1fdHQ0BEHA0KFDS43j/fffx7fffouvv/4a8fHxmDRpEgYPHowTJ05YlGvatKnFue+d4PN+Zs6cWa4nDd9Lp9Nh5MiR6Ny5833LduzYsdh78PzzzyMkJATh4eEAgFOnTqFfv37o06cPTpw4gR9//BG//PJLlT8Y714cTUNUC8hkQNeud9ZtgUyQoWtwV/M6FSeKomQjjhzsHCAIQrnLq1SqEmsXBgwYAG9vb6xYsQIzZswwb8/Pz8fatWsxe/bsUs957/k2b96Mbt26oW7duqUe8/3332P69Onod/v5CS+99BK2b9+Ozz//HKtWrTKXUygU1VobUuT9999HWFgYunfvjkOHDpVZVqlUWsSo0+nwyy+/4JVXXjH/2/z4449o0aIFPvzwQwBA/fr1ERUVhZEjR2LGjBlwdnauupu5C5MRolrA3h7Ys0fqKKzL3s4ee8btkTqMh1q+Lt/8ZOPqZq0nKSsUCowZMwYrVqzAhx9+aP4SXb9+PbRaLUaPHl2u89y4cQNbtmzBypUryyyn0WiKzZVhb2+PAwcOWGw7d+4c/P39oVKp0L59e8yePbvMJMcadu3ahfXr1yMuLg4bN26s8PG//PIL0tLSLGpkSrvfwsJCxMbGIiIi4gGjLh/+OUFERJL77bff4OTkZF6efvpp874JEybg0qVL2HNXRh0dHY0hQ4bA3d29XOdfuXIlnJ2dMWTIkDLL9e7dG/PmzcO5c+dgNBoRExODzZs3Izk52Vymffv2+O6777B9+3YsWbIEKSkp6NixI9LT0yt20xWQnp6OcePGYcWKFZWe/HPZsmXo3bs3AgMDzdt69+6NQ4cOYc2aNTAYDLh27Ro+/vhjALC456rGmhEiIhvlYOeA3Gm5kl27Irp164aFCxeaXzveNU1wWFgYOnbsiOjoaHTr1g0XLlzA/v37sWPHjnKfPzo6GqNHj77vzLRffvklXnjhBYSFhUEQBNSrVw/jx4/H8uXLzWX69u1rXm/evDk6dOiAevXqYeXKleZHpNxr//79FsdptVqIoogNGzaYt7333nt47733Sjz+hRdewKhRo9ClS5dy3e+9rl69iu3bt2PdunUW23v16oW5c+di0qRJeO6556BSqfDBBx/gwIEDkFfnI77FGiArK0sEIGZlZUkdClGNlJsril5epiU3V+porCNXkyt6zfESveZ4ibkaG7mpB1RQUCDGx8eLBQUFUodSIWPHjhWfeuqpMsssW7ZMtLe3F7OyssTp06eLISEhotFoLNf59+3bJwIQ4+Liyh1TQUGBePXqVdFoNIpvv/222KRJkzLL9+jRQ5w0aVKp+/Pz88Vz586Zl1dffVUcMmSIxbb09PRSj3d1dRXlcrl5kclkIgBRLpeLy5Ytu+/9zJo1S6xTp46o1WpL3G80GsVr166J+fn5Ynx8vAhAPHLkyH3PK4plf+7K+/3NmhGiWiItTeoIrC8t3wZviko0fPhwvP7661i9ejVWrlyJF154odwdZJctW4a2bduiZcuW5b6eWq1GQEAAdDodfvrpJwwfPrzUshqNBgkJCWWOcLG3t0f9+vXNrz08PJCdnW2xrSyHDx+GwWAwv968eTM+/fRTHDp0CAEBAWUeK4oili9fjjFjxsDOzq7EMoIgwN/fHwCwZs0aBAYGljpKqSowGSEiooeek5MTRowYgffeew9ZWVnlHhabnZ2N9evX4/PPPy9x/5gxYxAQEICoqCgAwF9//YVr166hVatWuHbtGmbOnAmj0Yi3337bfMybb76JgQMHIigoCKmpqfj444+RnZ2NsWPHPvB9lqZx48YWr48dOwaZTIZmzZqZtx05cgRjxozBzp07LRKUXbt2ITExERMnTizx3HPnzkWfPn0gk8mwceNGfPLJJ1i3bl21NtOwAysREdUIEydORGZmJnr06IGgoKByHfPjjz9CFEWMHDmyxP1JSUkWHTULCwvx/vvvo0mTJhg8eDACAgJw4MABiwnGrl69ipEjR6JRo0YYMmQIlEol/vzzTwQHBz/Q/T2o/Px8nDlzBjqdzmL7smXL0LFjx2IJTZHff/8dnTt3Rnh4OLZs2YLNmzdj0KBB1RDxHYIoimK1XrESyvsIYiIqWV4e4HR7hGduLuD44CMuJZenzTMPW7XWMNKarqxHuRNVlbI+d+X9/mbNCBEREUmKyQgRERFJih1YiWoBmQy4/SgKm5oOPtw/3LxORDUXkxGiWsDeHrjrIZ02wd7OHkdfsLGbIqql+OcEEZGNqQHjEsiGWOPzxmSEiMhGFM0LodVqJY6EapP8fNOToUubUK082ExDVAvk5wNNmpjW4+MBh4o9NuShlK/LR5P5ppuKfzm+ws9CsUUKhQIODg64efMm7OzsILOVDkL0UBJFEfn5+UhNTYWbm9sDTZLGZISoFhBF4PLlO+u2QBRFXM66bF4n05Tefn5+SExMxOWif3CiKubm5gZfX98HOgeTESIiG6JUKtGgQQM21VC1sLOzs8q08UxGiIhsjEwm4wysVKOwQZGIiIgkxWSEiIiIJMVkhIiIiCTFPiNEtYAg3BnaKwjSxmItgiCgSZ0m5nUiqrmYjBDVAg4OwOnTUkdhXQ52Djg92cZuiqiWYjMNERERSYrJCBEREUmKyQhRLZCfDzRtalpuP0aixsvX5aPpgqZouqAp8nU2clNEtRT7jBDVAqJoeiZN0botEEUR8TfjzetEVHOxZoSIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJFXhZGTfvn0YOHAg/P39IQgCNm3aVGb5jRs3omfPnqhTpw5cXFzQoUMHbN++vbLxElElCAIQHGxabGXmdEEQEOwajGDXYE4HT1TDVTgZycvLQ8uWLfHNN9+Uq/y+ffvQs2dPbN26FbGxsejWrRsGDhyIEydOVDhYIqocBwfg0iXT4uAgdTTW4WDngEtTLuHSlEtwsLORmyKqpQTxAQboC4KAn3/+GYMGDarQcU2bNsWIESPw4Ycflqt8dnY2XF1dkZWVBRcXl0pESkRERNWtvN/f1T7pmdFoRE5ODjw8PEoto9FooNFozK+zs7OrIzQiIiKSQLV3YP3888+Rl5eH4cOHl1omKioKrq6u5iUwMLAaIySyPQUFQLt2pqWgQOporKNAV4B2S9qh3ZJ2KNDZyE0R1VLVWjOyZs0azJw5E5s3b4a3t3ep5aZNm4bIyEjz6+zsbCYkRA/AaASOHbuzbguMohHHrh8zrxNRzVVtycjatWsxceJErF+/Hj169CizrEqlgkqlqqbIiIiISErV0kyzZs0ajBs3DqtXr0b//v2r45JERERUQ1S4ZiQ3Nxfnz583v05MTERcXBw8PDwQFBSEadOm4dq1a/juu+8AmBKRMWPG4Msvv8Rjjz2GlJQUAIC9vT1cXV2tdBtERERUU1W4ZuTYsWNo3bo1WrduDQCIjIxE69atzcN0k5OTkZSUZC7/7bffQq/X4+WXX4afn595ef311610C0RERFSTVbhmJCIiAmVNTbJixQqL13v27KnoJYiIiKgWqfZ5RohIGl5eUkdgfV4ONnhTRLUQkxGiWsDREbh5U+oorMtR6Yibb9nYTRHVUnxqLxEREUmKyQgRERFJiskIUS1QUABERJgWW5oOPmJFBCJWRHA6eKIajn1GiGoBoxHYu/fOui0wikbsvbzXvE5ENRdrRoiIiEhSTEaIiIhIUkxGiIiISFJMRoiIiEhSTEaIiIhIUhxNQ1RLODhIHYH1OdjZ4E0R1UJMRohqAUdHIC9P6iisy1HpiLz3bOymiGopNtMQERGRpJiMEBERkaSYjBDVAoWFQP/+pqWwUOporKNQX4j+q/uj/+r+KNTbyE0R1VLsM0JUCxgMwNatd9ZtgcFowNZzW83rRFRzsWaEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxaG9RLWAoyMgilJHYV2OSkeIM2zspohqKdaMEBERkaSYjBAREZGkmIwQ1QKFhcDTT5sWW5oO/un1T+Pp9U9zOniiGo7JCFEtYDAAGzaYFluaDn5D/AZsiN/A6eCJajgmI0RERCQpJiNEREQkKSYjREREJCkmI0RERCQpJiNEREQkKSYjREREJClOB09UCzg4ALm5d9ZtgYOdA3Kn5ZrXiajmYjJCVAsIgun5NLZEEAQ4Km3spohqKTbTEBERkaSYjBDVAhoNMG6cadFopI7GOjR6DcZtGodxm8ZBo7eRmyKqpSqcjOzbtw8DBw6Ev78/BEHApk2b7nvM3r170bZtW6jVatStWxeLFi2qTKxEVEl6PbBypWnR66WOxjr0Rj1WnlyJlSdXQm+0kZsiqqUqnIzk5eWhZcuW+Oabb8pVPjExEf369UPnzp1x4sQJvPfee3jttdfw008/VThYIiIisj0V7sDat29f9O3bt9zlFy1ahKCgIHzxxRcAgMaNG+PYsWP47LPPMHTo0IpenoiIiGxMlfcZOXz4MHr16mWxrXfv3jh27Bh0Ol2Jx2g0GmRnZ1ssREREZJuqPBlJSUmBj4+PxTYfHx/o9XqkpaWVeExUVBRcXV3NS2BgYFWHSURERBKpltE0giBYvBZFscTtRaZNm4asrCzzcuXKlSqPkYiIiKRR5ZOe+fr6IiUlxWJbamoqFAoFPD09SzxGpVJBpVJVdWhERET0EKjyZKRDhw749ddfLbbt2LED4eHhsLOzq+rLExFMU8Cnpt5ZtwUOdg5IfTPVvE5ENVeFm2lyc3MRFxeHuLg4AKahu3FxcUhKSgJgamIZM2aMufykSZNw+fJlREZGIiEhAdHR0Vi2bBnefPNN69wBEd2XIAB16piWUlpHaxxBEFDHsQ7qONYptcmXiGqGCteMHDt2DN26dTO/joyMBACMHTsWK1asQHJysjkxAYDQ0FBs3boVU6dOxfz58+Hv74+vvvqKw3qJiIgIACCIRb1JH2LZ2dlwdXVFVlYWXFxcpA6HqMbRaIDbfzdg3jzAFrpkafQaRG433dS83vOgUtjATRHZmPJ+fzMZIaoF8vIAJyfTem6ubTzBN0+bB6co003lTsvlE3yJHkLl/f7mg/KIiIhIUkxGiIiISFJMRoiIiEhSTEaIiIhIUkxGiIiISFJMRoiIiEhSVT4dPBFJz94eSEy8s24L7O3skfh6onmdiGouJiNEtYBMBoSESB2FdckEGULcQqQOg4isgM00REREJCkmI0S1gFYLvPWWadFqpY7GOrQGLd7a8Rbe2vEWtAYbuSmiWorTwRPVApwOnoikwOngiYiIqEZgMkJERESSYjJCREREkmIyQkRERJJiMkJERESSYjJCREREkuIMrES1gL098M8/d9Ztgb2dPf556R/zOhHVXExGiGoBmQxo2lTqKKxLJsjQ1NvGboqolmIzDREREUmKNSNEtYBWC8yebVp/7z1AqZQ2HmvQGrSYvd90U+91fg9KuQ3cFFEtxengiWoBTgdPRFLgdPBERERUIzAZISIiIkkxGSEiIiJJMRkhIiIiSTEZISIiIkkxGSEiIiJJcZ4RolpArQaOHLmzbgvUCjWOPH/EvE5ENReTEaJaQC4H2rWTOgrrksvkaBdgYzdFVEuxmYaIiIgkxZoRolpAqwW+/NK0/vrrtjMd/Jd/mm7q9cde53TwRDUYp4MnqgU4HTwRSYHTwRMREVGNwGSEiIiIJMVkhIiIiCTFZISIiIgkValkZMGCBQgNDYVarUbbtm2xf//+Msv/8MMPaNmyJRwcHODn54fx48cjPT29UgETERGRbalwMrJ27VpMmTIF06dPx4kTJ9C5c2f07dsXSUlJJZY/cOAAxowZg4kTJ+L06dNYv349jh49iueff/6BgyciIqKar8JDe9u3b482bdpg4cKF5m2NGzfGoEGDEBUVVaz8Z599hoULF+LChQvmbV9//TXmzJmDK1eulOuaHNpL9GAMBqCoArNzZ9OMrDWdwWjA/iTTTXUO6gy5zAZuisjGVMnQXq1Wi9jYWPTq1ctie69evXDo0KESj+nYsSOuXr2KrVu3QhRF3LhxAxs2bED//v1LvY5Go0F2drbFQkSVJ5cDERGmxRYSEcA0HXxESAQiQiKYiBDVcBVKRtLS0mAwGODj42Ox3cfHBykpKSUe07FjR/zwww8YMWIElEolfH194ebmhq+//rrU60RFRcHV1dW8BAYGViRMIiIiqkEq1YFVEASL16IoFttWJD4+Hq+99ho+/PBDxMbGYtu2bUhMTMSkSZNKPf+0adOQlZVlXsrbnENEJdPpgPnzTYtOJ3U01qEz6DD/yHzMPzIfOoON3BRRLVWhZ9N4eXlBLpcXqwVJTU0tVltSJCoqCp06dcJbb70FAGjRogUcHR3RuXNnfPzxx/Dz8yt2jEqlgkqlqkhoRFQGrRZ45RXT+rhxgJ2dpOFYhdagxSu/m25qXKtxsJPbwE0R1VIVqhlRKpVo27YtYmJiLLbHxMSgY8eOJR6Tn58PmczyMvLbjdY14LE4REREVMUq3EwTGRmJpUuXIjo6GgkJCZg6dSqSkpLMzS7Tpk3DmDFjzOUHDhyIjRs3YuHChbh48SIOHjyI1157DY8++ij8/f2tdydERERUI1WomQYARowYgfT0dMyaNQvJyclo1qwZtm7diuDgYABAcnKyxZwj48aNQ05ODr755hu88cYbcHNzwxNPPIFPP/3UendBRERENVaF5xmRAucZIXoweXmAk5NpPTcXcHSUNh5ryNPmwSnKdFO503LhqLSBmyKyMVUyzwgRERGRtTEZISIiIklVuM8IEdU8KhXw22931m2BSqHCbyN/M68TUc3FPiNERERUJdhnhIiIiGoENtMQ1QI6HfDDD6b10aNtYwZWnUGHH/423dTo5qM5AytRDcZmGqJagEN7iUgKbKYhIiKiGoHJCBEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJivOMENUCKhWwbt2ddVugUqiwbtg68zoR1VycZ4SIiIiqBOcZISIiohqBzTREtYBeD/z8s2l98GBAYQM/+XqjHj8nmG5qcOPBUMhs4KaIain+9BLVAhoNMHy4aT031zaSEY1eg+EbTDeVOy0XCqUN3BRRLcVmGiIiIpIUkxEiIiKSFJMRIiIikhSTESIiIpIUkxEiIiKSFJMRIiIikhTHwhHVAkolsHz5nXVboJQrsfyp5eZ1Iqq5OB08ERERVQlOB09EREQ1AptpiGoBvR7Yvt203ru3bczAqjfqsf286aZ61+/N6eCJajD+9BLVAhoNMGCAad2WpoMfsMZ0U5wOnqhmYzMNERERSYrJCBEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJimPhiGoBpRL45ps767ZAKVfim77fmNeJqObidPBERERUJTgdPBEREdUIbKYhqgUMBmD/ftN6586AXC5tPNZgMBqwP8l0U52DOkMus4GbIqqlKlUzsmDBAoSGhkKtVqNt27bYX/RbrhQajQbTp09HcHAwVCoV6tWrh+jo6EoFTEQVV1gIdOtmWgoLpY7GOgr1hei2shu6reyGQr2N3BRRLVXhmpG1a9diypQpWLBgATp16oRvv/0Wffv2RXx8PIKCgko8Zvjw4bhx4waWLVuG+vXrIzU1FXq9/oGDJyIiopqvwh1Y27dvjzZt2mDhwoXmbY0bN8agQYMQFRVVrPy2bdvwzDPP4OLFi/Dw8CjXNTQaDTQajfl1dnY2AgMD2YGVqJLy8gAnJ9N6bi7g6ChtPNaQp82DU5TppnKn5cJRaQM3RWRjqqQDq1arRWxsLHr16mWxvVevXjh06FCJx/zyyy8IDw/HnDlzEBAQgIYNG+LNN99EQUFBqdeJioqCq6ureQkMDKxImERERFSDVKiZJi0tDQaDAT4+PhbbfXx8kJKSUuIxFy9exIEDB6BWq/Hzzz8jLS0NkydPRkZGRqn9RqZNm4bIyEjz66KaESIiIrI9lRpNIwiCxWtRFIttK2I0GiEIAn744Qe4uroCAObNm4dhw4Zh/vz5sLe3L3aMSqWCSqWqTGhERERUw1SomcbLywtyubxYLUhqamqx2pIifn5+CAgIMCcigKmPiSiKuHr1aiVCJiIiIltSoZoRpVKJtm3bIiYmBoMHDzZvj4mJwVNPPVXiMZ06dcL69euRm5sLp9s96M6ePQuZTIZHHnnkAUInovKyswPmzLmzbgvs5HaY02OOeZ2Iaq4Kj6ZZu3YtnnvuOSxatAgdOnTA4sWLsWTJEpw+fRrBwcGYNm0arl27hu+++w4AkJubi8aNG+Oxxx7DRx99hLS0NDz//PPo2rUrlixZUq5rcjp4IiKimqe8398V7jMyYsQIpKenY9asWUhOTkazZs2wdetWBAcHAwCSk5ORlJRkLu/k5ISYmBi8+uqrCA8Ph6enJ4YPH46PP/64ErdFREREtoYPyiOqBQwG4Phx03qbNrYzHfzxZNNNtfFrw+ngiR5CVVYzQkQ1T2Eh8OijpnVbmfSsUF+IR5eaboqTnhHVbHxqLxEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJiskIERERSYpDe4lqATs7YMaMO+u2wE5uhxldZ5jXiajm4qRnRDZCFIHft4lYusKIs2cAVzegd0/g1clyuLtLHR0R1Uac9IyoFsnOBkaMNmDbb3IAd2YiPbQXmPe5EdHRwJBBbJUloocTkxGiGi4nB+jU1YB/4uRQ2Ino9Uw+WnTQIP2GHL//4ICr5+0wdDAw/QMjRo6QoXFjQGYDeYlRNCLhZgIAoHGdxpAJNnBTRLUUm2mIajCjEejRx4DdMXK4uBswfXEm6jfXmffrtED0bBfs+PHOVOm2Mh18njYPTlFOADgdPNHDqrzf3/xTgqgGm/O5Ebtj5FDZG4slIgBgpwT+MyMbPUfkmbf9/fdD//cHEdUyTEaIaqgzZ0R8+L4AABj3Tk6xRKSIIADPvZFjfj1mghFabbWESERULkxGiGqo198wQqcV0LKTBj1H5JdZVn5X77BzCXK8P9NYxdEREZUfkxEiCRy6cgitl7ZGk2+bYNOZTRU+fucuEdu3yCGTi5jwXjYEoWLHz5sr4MwZNtcQ0cOByQhRNUvKSkLPVT0Rdy0OCSkJGLp2KHYm7qzQOaa9b6rZ6DUiH4/U01fo2FaPF8KgF/DqVNaOENHDgckIUTWL3BmJfG0+Ar0D0bxucxhFIyb8OgE6Q8l9Pu61/4CIo4dNw3iHvphb4euPisyGXCEi5nc5tu9g7QgRSY/JCFE1Ss1Lxeb4zQCAoRFDMbrnaDjZOyEpMwnLTy4v1zlm/Z+pRiNiUAE8fMpXuyFXiHhyQi6enJCLoPoG9Bll6mPy1rtGPPyD+0tmJ7fDmx3exJsd3uR08EQ1HJMRomr0wz8/QG/QI8gnCCG+IVCr1OjWphsA4H9H/of7Tfvz77/AH9vkEAQRT00of62InRIY+3YOxr6dAzslMHRSLlT2Rvx9Qo7fttTMbEQpV2Jur7mY22sulHKl1OEQ0QNgMkJUjX468xMAoFX9VuZt7Zu0h0KuwL83/sWRa0fKPP6rBQYAQNsIDfxDDZWOw9XDaK4deX9Gza0dISLbwGSEqJrkaHLwV9JfAICmoU3N253sndCyfksAwNJTS0s9vrAQWL3KNGym132G8t7LaARSr8qRelUO4+2Wnacm5EFlb8Sp4zWzdsQoGnHp1iVcunUJRpGdcYlqMiYjRNXkYNJB6A16eLh4wNvd22Jf6watAQCbEjaV+sW6dr0RWZkyePnr0aqzpkLX1hYKeKmHN17q4Q1toSmhcfU0ovczpqTm/z6peV/mBboChH4ZitAvQ1GgK5A6HCJ6AExGiKrJzium4bt1/etCuGdikLCgMKiVaqTlpuFg0sESj1+wyFR70WNYAeTyEotU2ICxeZArRPx1UI5jx2pe7QgR2QYmI0TV5MCVAwCAUL/QYvsUCgWa120OAFgVv6rY/sRE4MghU8fVJ4ZWrImmLJ6+RnTqWwgAiPqs5tWOEJFtYDJCVA0MRgNOXjsJoORkBACa1W0GANh2bluxfd/9YOqs2uwxLTzLOZy3vAaMNY3K2fyTDFevWvXURETlwmSEqBrE34xHga4AKjsVfD18SyzTKLARZDIZkjKTcD7jvMW+1WtM/3+8v/X7RtRrpkfTdhoY9AI++6LyI3SIiCqLyQhRNThx4wQAIKBOAGSykn/s1Co16vnXAwBsOrvJvP3vv0WcjTfNuPpYz8IqiW/AuDwAwIpoAYVVcwkiolIxGSGqBkdSTPOH+Hv6l1muSUgTAJbJyMpVpmaZ1l00cHKtmk6mbSM08PLXIytThjVr2XeEiKoXkxGiahB3Iw4A4OflV2a5xiGNAQBHko4gT5sHUQTWrjONvOn8AE00coWIPqPy0GeUafRMsf1yoOdw0/m/WVAzRtUoZApMDp+MyeGToZAppA6HiB4Af4KJqsGZ1DMAAH+vsmtGfNx94OHigYzsDOxK3AX/3AG4ekkGlb0R4d0q335ipwRe+DC7zDLdh+Zj3TdOOH5EjpMnRbRsKZRZXmoqhQrz+8+XOgwisgLWjBBVsfT8dKTlpgEA/DzLrhkRBAFhwWEAgM3nN2PdT7ebaDproLKv2jjd6xjxaA9TwvPlfDbVEFH1YTJCVMX+Tv0bAODp4gm1Un3f8o2DTE01Oy7swCbTA37xaI+Kzbh6L1EEsjJkyMqQlfkcmqIZWdeuliEn54EuWeVEUcTNvJu4mXfzvg8YJKKHG5MRoip2KvUUAMDXs+Qhvfdq8EgDyGQyXMm8grPJlyCTi2jb9cGGuGgKBEzo6IMJHX2gKSi9+aVZey38Q/TIzxPw3aqHu3YkX5cP78+84f2ZN/J11psIjoiqH5MRoioWnxEPAPBy9SpXebVKfWditPrb0fRRbZWNormXIAA9bz+Eb/FS1jYQUfVgMkJUxc5mnAVQ/mQEABoHm5pqUG87Hn2ieif+6PpUAeQKEaeOy3HqFBMSIqp6TEaIqtjlzMsAAC+38icjgc4tTSt1d6J1t7JHwVibq8edkTuLlj7cTTVEZBuYjBBVIVEUcfWW6YEvFakZyTjSGcj1AZR5SLP7q6rCK9UTQ0xzjqz5QYBWW+2XJ6JaplLJyIIFCxAaGgq1Wo22bdti//795Tru4MGDUCgUaNWqVWUuS1TjJOcmQ6vXQibI4OHsUe7jTm+vD5zvDQA4kfJHVYVXqtadNXCrY8CtDBl+/ZVNNURUtSqcjKxduxZTpkzB9OnTceLECXTu3Bl9+/ZFUlJSmcdlZWVhzJgx6N69e6WDJappzqWfAwC4O7tDLpeX6xi9VoZz+wKBC0XJyK4qi680cgUQMchUO7KQTTVEVMUqnIzMmzcPEydOxPPPP4/GjRvjiy++QGBgIBYuXFjmcS+++CJGjRqFDh06VDpYoprmn/R/AFSsiebin/7Q5CrhmNURAgQkZZ5DRkHKA8UhV4iIGJSPiEH5JU4HX5InBptG1ezeIcP16w90+SqhkCkwtuVYjG05ltPBE9VwFUpGtFotYmNj0atXL4vtvXr1wqFDh0o9bvny5bhw4QJmzJhRrutoNBpkZ2dbLEQ10b8Z/wKoWOfVf3cGAwCadMxHoE8gACAuec8DxWGnBF79JAuvfpIFO2X5jgmoa0Cj1loYjQKWrTA80PWrgkqhwopBK7Bi0AqoFCqpwyGiB1ChZCQtLQ0GgwE+Pj4W2318fJCSUvJfbufOncO7776LH374AQpF+f56iYqKgqurq3kJDAysSJhED43zmecBVKxmJOGPEABA4+6XERZkmhr+xI3q7zcCAE8MNdWOLF+OMmduJSJ6EJXqwCoIljM4iqJYbBsAGAwGjBo1Ch999BEaNmxY7vNPmzYNWVlZ5uXKlSuVCZNIcomZiQAAT1fPcpXPvOqE5AQvCDIjGnVLMj+n5mTKARiMla+dEEWgMF9AYb5QoaSiU59CqOyNSDwvx8GDD1c2Iooi8rR5t59u/HDFRkQVU6FkxMvLC3K5vFgtSGpqarHaEgDIycnBsWPH8Morr0ChUEChUGDWrFk4efIkFAoFdu0quWOeSqWCi4uLxUJUE13LvAYAqONWp1zl/91laqIJanMDjh6FCPYNhlqpRp4mGxcyT1Y6Dk2BgNFtfDG6jW+Z08Hfy95JRIfepjlHvl32cHVkzdflwynKCU5RTpwOnqiGq1AyolQq0bZtW8TExFhsj4mJQceOHYuVd3Fxwd9//424uDjzMmnSJDRq1AhxcXFo3779g0VP9BDLKMhAriYXgOkheeVhbqLpcQkAIJfJ0SiwEQAgLnm31WMsj6I5R37eIENeniQhEJGNq3AzTWRkJJYuXYro6GgkJCRg6tSpSEpKwqRJkwCYmljGjBljOrlMhmbNmlks3t7eUKvVaNasGRwdHa17N0QPkfPppv4iLo4uUJaj16hBJ8PZvab+UY27XzZvL2qqOX4jpsTjqlrjcC18AvXIyxWwfgObQ4jI+iqcjIwYMQJffPEFZs2ahVatWmHfvn3YunUrgoNN1cvJycn3nXOEqDY4nXEaQPk7r1466ovCHBUcPfMR2PqGeXtRMnI+7R/kaDKtH+h9yGR35hxZ/JA11RCRbahUB9bJkyfj0qVL0Gg0iI2NRZcuXcz7VqxYgT179pR67MyZMxEXF1eZyxLVKPHpFXtab/ztJpqwJ5Igu+sn093ZHb4evhBFI07dKN9sx9YWMagAgiDi8H45Ll2SJAQismF8Ng1RFTEP6y3nHCN3hvReKravqHZEiqnhAcA7wIBmj5keUrM0mrUjRGRdTEaIqkjRsN7y1IxkJTvi+j91IAgiwp4o3sxpnm8kZY9kw1ifGGIasbJiJWBkPkJEVsQ5lImqyJVM0/w45UlGiob0Bra+ASevgmL76wXUg53CDrfy05CU9S+C3RpXKBaZXESH3gXm9cpo36MQDk5GXEuSYe9eEd26lX+IcFWQy+QY1mSYeZ2Iai4mI0RVIE+bh4y8DADlS0YS/jAlI2FPXC5xv53CDvUD6iPhcgJOpOyscDKiVAFvfnmrQsfcS2UPdOxbiD/WO+DbZUZ06yZtAqBWqLH+6fWSxkBE1sFmGqIqcDHzIgDAQeUAB7VDmWUNegFn9gQBuDO/SEnMQ3xTpBniC9xpqtm8UYacHMnCICIbw2SEqAoUPSCvPNPAXz7mi4IsNRzcChHc9kap5YqSkTOpJ1Cgk2b2sYatdPAP1aOwQMDatZxzhIisg8kIURVIyEgAUL6RNAk7QwAAjbpdLrM/h7ebNzxcPKA36nHqxr4KxVOYL2BomB+GhvmhML/yfT0EAeg22FQ7skTiUTV52jwIHwkQPhKQp+XUsEQ1GZMRoipwJv0MgIr1F2nco+T+IkUEQUCz0GYAgEPXf37ACCsv4qkCyGQijhyW49w5ycIgIhvCZISoClzIvADg/slITqoDrp40PWSytM6rd2tZvyUAIPbKLugMmgeMsnI8fIxo+bjp2suWc4wvET04JiNEVSAp0zRXyP2SkYRdpo6rj7RIhYvP/Z88G+ofChdHFxTo8hGXsvfBA62kboNNw4RXrgQMBsnCICIbwWSEyMp0Bh1uZJs6ot43GbnnKb33IxNkaFnPVDty6NrGSsf4oNo9UQgnVyNSrsuwc6dkYRCRjWAyQmRll7MuwygaYaewg4ujS6nljAYBZ3abakbCut+/iaZIqwatAADHru6EzqB9oFgrS6kCHu9vqh35dimbaojowTAZIbKyc+mmXp1erl4QhNJHriQd90F+pj3ULhqEtEsu9/lD/ULh4uCCfG0eTt2Qvqnmt18E3LolWRhEZAOYjBBZWdGw3vvNMZKw0zSKplHXJMgV5Z+zQyaToUX9FgCAPUk/lu8YuYg2XQvRpmthpaeDv1e9ZjoENdBBqxGwek31zzkil8nRr0E/9GvQj9PBE9VwTEaIrKxowrM6rnXKLHenv0j5m2iKhIeFAwCOXtmJfN39p0JVqoDp32Zi+reZUKoqfLkSCQLQbYipdmTJsupPRtQKNbaM2oIto7ZArVBX+/WJyHqYjBBZ2fmM8wDKrhnJTVfjyonbQ3q7X6rwNYJ9guHt7g2dQYuDSZsrFac1dBlYAJlcRFysDPHxkoVBRDUckxEiK7uUeQlA2SNpzuwOhigK8GuSBjf/is8eKggCHm38KABg9+XVlYrTGty8jGjb1TTnyFKJZ2QlopqLyQiRFRlFI67eugqg7Kngi/qLlHdIb0nCG4VDgIAzqXFIyS27qacwX8Co1j4Y1drngaaDL0m32w/PW/U9oNdb9dRlytPmwXG2IxxnO3I6eKIajskIkRVdz7kOnUEHmUwGd2f3EssYjcC/RclIBYb03svN2Q0NAxsCAHZdWnXf8poCGTQF1v+Rb9tVAxcPA26myrBtW/X2HcnX5SNfd//J4ojo4cZkhMiKLmSYpoH3cPYodYTHtVPeyE1zgMpJi9D21x/oeu2btgcA7Lz4I/RG3QOdq7IUdqa+IwCwWIKOrERU8zEZIbKiMxmmB+SV1Xm16MF4DbpcgUL5YP0sWtRrAWcHZ9zKT8eRa78/0LkeRNGomt+3CEhLkywMIqqhmIwQWdHp9NMAgDpupQ/rTdgZAuDB+osUUcgV6NC0AwBg64XFD3y+ygpppEfdJjrodQJW/cCOrERUMUxGiKzoXMad2VdLkn9LhUtHfQE8WH+Ru3Vo1gGCICAh5TiSss5Y5ZyV0W2wqe/G0mjJQiCiGorJCJEVXcy4CKD0mpGzewIhGmXwaZgOj8D7T1ZWHu7O7mhetzkAYMuFRVY5Z2V0HlAAhZ2I06dkOHlSsjCIqAZiMkJkJaIoIikzCUDpw3rjH2DW1bJ0btEZALD3ws/IKkwvtl+QiWjaToOm7TQQZFXTydTZXUS7JwoBAAsXG6rkGneTCTJ0De6KrsFdIRP4q4yoJuNPMJGVpOalokBXAEEQ4OlcvAOraUhvCADrNdEUqf9IfQT5BEFn0OK3cwuL7VepgVnfZ2DW9xlQVeHM6d2HmTqyrv5BQH4Vj7i1t7PHnnF7sGfcHtjb2VftxYioSjEZIbKSov4i7s7uUCgUxfZfjfNB9g1HqJy0qNfxmlWvLQgCurftDgDYdm5luZ5XUxVadtLA+xE9crJkWL2GHVmJqHyYjBBZydn0swBK77z6z7ZQAEBYt8tQqKzfjNG8XnN4u3sjX5uH7ReXW/385SGTAb1GmKpEvl7AOUeIqHyYjBBZSXy66UlxpXVePb3dlIw07ZNYJdeXCTJz7cgv/36LQv2ddpLCfAHjO3hjfAdvq08Hf68nhpo6sp46LkdsbNVdJ0+bhzpz66DO3DqcDp6ohmMyQmQlRROelVQzknnVCdf+9oYgiGjS81KVxRDeKByeLp7ILsjEr/f0HcnOlCM7s+RZYa3J1cOIDr1NHVm/+KZqO7Km5achLZ+zrBHVdExGiKzkQqZpKviSakZO7zDVioS0S4aTV0GVxSCXy9GvQz8AwOaERcjRZFbZtcrSe6SppmL9jzLcuiVJCERUgzAZIbICURSRlHF7WG8JNSOnt9UFUHVNNHdr3bA1/L38UaDNw09n/lfl1ytJWBsdghrooCkUEL2CHVmJqGxMRoisIC0/DXnaPAgQij2XRpOnwLn9jwAAmva+WOWxyAQZ+nfoDwDYdmYlUnOvVPk17yUIQO+Rpj4rCxYCIvuyElEZmIwQWcH5jPMAADdnN9gp7Cz2ndkTBL1GAc/gLPiGZVRLPE1CmqDBIw2gM+iw7OS71XLNe3V5sgBqByMunJVh925mI0RUOiYjRFYQn2YaSVNSE80/v99uoul9EULVDmQxEwQBQ7oOgUwmw7EruxGXsrt6LnwXBycRXZ409Y+ZM49NNURUOiYjRFZw8qbpYSw+Hj4W240GAfExVTuktzR+nn7o0rILAGDlqQ9Rt6kG9Zppq2w6+JL0f87UVLNjqwznz1v33DJBhnD/cIT7h3M6eKIajj/BRFZQVDPi426ZjFz80x+5Nx3g4FaI+p2sO+tqefR5tA9cHFyQWngeLWdOxZwN6VU6Hfy9HqmnR+vOhRBFAZ/9z7rDfO3t7HH0haM4+sJRTgdPVMMxGSGygrNpptlX760ZOflrfQBAs74XIber/qYKtUqNoRFDAQCb47/FufQT1R7DwHGmYb7freAwXyIqWaWSkQULFiA0NBRqtRpt27bF/v37Sy27ceNG9OzZE3Xq1IGLiws6dOiA7du3VzpgooeNRq/BtVumWo+7a0aMRuDU7WSk5ZNWbqOogJb1W6JNwzYwikZ8dfRlaA2F1Xr9Fh21CGqgQ0G+gEWL2XeEiIqrcDKydu1aTJkyBdOnT8eJEyfQuXNn9O3bF0lJSSWW37dvH3r27ImtW7ciNjYW3bp1w8CBA3HiRPX/hUZUFc5lnINRNEKtVMPF0cW8/fIxX2QlO0HlpEGjiJJ/PqrLwEdHQPjyEq7P2I0Vx6Kq9dqCAPQfa6od+eprQK+3znnzdfkI+SIEIV+EIF9XxY8IJqIqVeFkZN68eZg4cSKef/55NG7cGF988QUCAwOxcGHxx5YDwBdffIG3334b7dq1Q4MGDTB79mw0aNAAv/766wMHT/QwSLiZAMBUKyLcNVymqFakae9LVfJgvIpwUDlCzAwGskKw/cwP+Ovqlmq9fpeBBXDxMCD5qgwbNlinA60oiricdRmXsy5D5EQmRDVahZIRrVaL2NhY9OrVy2J7r169cOjQoXKdw2g0IicnBx4eHqWW0Wg0yM7OtliIHlZFI2m8PbzN20TxTn+RlgOla6IpzddHpiAl93K1XU+pAno/Y6q9+OQzIydBIyILFUpG0tLSYDAY4ONj2UnPx8cHKSkp5TrH559/jry8PAwfPrzUMlFRUXB1dTUvgYGBFQmTqFr9ffNvAJb9Ra6eqoOMJFcoHXRo3OOSRJGVLMgnGAXaPMw5PBYaffU1b/QZlQ+lSsTJWDl27mQ2QkR3VKoDq3DPzE2iKBbbVpI1a9Zg5syZWLt2Lby9vUstN23aNGRlZZmXK1eqfzprovI6k2Z6Wq+vh695W9zmBgCAxt0vQelgpU4SVjK612g4qh1xOf0s/vfXizCK1dOp1M3LiO7DTMnPzI/ZkZWI7qhQMuLl5QW5XF6sFiQ1NbVYbcm91q5di4kTJ2LdunXo0aNHmWVVKhVcXFwsFqKHkd6oR2KGaTKzomG9RiNwfEMjAEDrwWcli600bk5umDhgIuQyOY5e2YlVf39Ubdd+amIu5AoRB/fKcfgwa0eIyKRCyYhSqUTbtm0RExNjsT0mJgYdO3Ys9bg1a9Zg3LhxWL16Nfr371+5SIkeQufSz0Gr10JppzQ/IC/xL39kXnWBykmDJr2rd9bV8qrrXxcje4wEAGyOX4Lfzy+tluvW8Tei6+0p4lk7QkRFKtxMExkZiaVLlyI6OhoJCQmYOnUqkpKSMGnSJACmJpYxY8aYy69ZswZjxozB559/jsceewwpKSlISUlBVlaW9e6CSCJxN+IAmKZeL5qSPHZ9GACg5cALUNpLO4qmiCAAvo3S4dso3fx8nPCwcPR+tDcAYOmxD7H70o/VEsug53MhCCJ2bJXj5MnK144IgoAmdZqgSZ0m5WomJqKHl6KiB4wYMQLp6emYNWsWkpOT0axZM2zduhXBwcEAgOTkZIs5R7799lvo9Xq8/PLLePnll83bx44dixUrVjz4HRBJ6GjyUQCAv5c/AECvlSFus2kUTdthZySL615KBz3ePbyq2PY+7fugQFOAfSf3Yf5fb0ApV6NT4KAqjSWgrgGP9S7E4W32mPmxET+vl1fqPA52Djg9+bSVoyMiKQhiDRign52dDVdXV2RlZbH/CD1UIlZFYO+FvRgWMQyPt3gc/2wLxdJRT8LFJw8z/1kGmfyh//GCUTRi3c51+DP+T8gEGV55bB66Bpc+2s0aEhMUeHNwHQiCiJMngebNWbNBZIvK+/3NZ9MQPYCEVNOEZ0U1I7Hr73RcrQmJCGB6+u3wJ4YjPCzcNGX84SnYcm5xlV4ztLEe7XsWQBQFvDudfUeIajsmI0SVlFGQgdScVACAv6c/8rOU+Of3egCAtk//K2VoxWjzFfikw7P4pMOz0OYXb52VyWQY1XMUOrfsDACIjp2J1f/MrtKZTUe+buo7svVXOY4erfh18nX5aLqgKZouaMrp4IlqOCYjRJV06sYpAICniyfUKjWObwiDrlABv8ZpCGyVKnF0lkQRSDnjiZQznqXOfioTZBjSZQj6tO8DAPjpn2/w2Z8TqmxitMD6enS5PbLm7fcqXjsiiiLib8Yj/mY8p4MnquGYjBBV0uFrhwEAAXUCAAB/ft8UAPDYc6dRUwd3CIKAPu37YMQTIyCXyfHn5e14b3d/pOVdq5LrDX/FNO/Inj/k2LuXCQVRbcVkhKiSDl47CAAI8gnClZN1cPWUN+RKPcKHP1xNNJXRoVkHTB48GY5qR1xKP4M3Yrrj2PUdVr+Ob6DBPCtr5Nt8Zg1RbcVkhKiSTlw/AcCUjPz5fTMAQIsBF+DoUShlWFZTL6AeIp+JxCN1HkFuYTai9o3D0rhp0Bk0Vr3O0y/lQmVvxPEjcqz5kdkIUW3EZISoEm7m3cT1rOsAAB/nUPMomg7P2da8F54unpjy9BR0adUFAPD7vyvx9h89cSHzb6tdw8PHiMEv5AEA3nxbREGB1U5NRDUEkxGiSjhy7QgAwNvdGwm/tkJhjgqewVmo39n2HuqoUCgwpMsQPD/geTiqHZGUeR7v7uiL707NhNZgnVqgJ8fnwsvPgOSrMnz6GYf6EtU2TEaIKmH/1f0AgCCfYOz9thUAoNOEU5A9pD9RggC4B2bDPTC70p1rm9VthneffRetGrSCUTRic/xiTN3eBceTdz5wfCp74Nk3sgEAcz4RcP36/Y8RBAHBrsEIdg3mdPBENRxnYCWqhC7fd8H+i/vROWAi9r+wFEoHHWb+swwObtbtT/GwOnXhFDbs3oDsfFMC0SrgcUxoORsBLvUrfU5RBN57xhNnTyoxdLgBG9ZWbpp4Inp4cAZWoiqiN+oRezUWAHB925MAgEdHxteaRAQAWtRrgXefexcRrSMgk8kQd+0ApmzrhiUn3kFmQeXmWBEEYOL72ZDJRPy0To7tOx76v5OIyEqYjBBVUFxKHPK1+VAp7HHh534AgM7/iZM2KAk4qBwwqPMgvDP6HTQJaQKj0YBtZ77HS789iuUn30dWYXqFz1m/uQ59RpuG+r7wooh8TqxKVCswGSGqoJ2XTH0kHHLaAUYFwrpfgk+DW9IGdR/aAjk+7/4MPu/+DLQF1m3+8HH3wX+e/A9eGvQSgn2CoTNo8VtCNF76rR2Wn3y/whOmjXo9B56+Bly5JMOHM0vvzFqgK0C7Je3Qbkk7FOg4BIeoJmMyQlRBMZdiAABZh/oDALq/fkzKcMpFNAq4csIHV074QDRWTWfPRkGNMGX4FPznyf8g0DsQGn2hKSnZ8hjm/fVCuYcD2zuJeP6DLADAF/8TcOJEyc01RtGIY9eP4dj1YzCKHIFDVJMVf2IWEZXKKBpx5IppWK/xYgRC219H/U5VM1V6TSQIApqENEHj4MaIvxSP3cd34/y18ziYuAUHE7cgzKc1eoeOx2OBA6CUq0s9z6PdNWjfswB/xdjjmdFGnDwuQF16cSKq4VgzQlQBx64fQ05hDqBxAZLboNcbR2rsc2iqkiAIaBraFK8MfQVvPPMG2jZqC5kgw783TuDLP1/D87+0xNK4abiSdbbUc7w4MxuungacTZDhrXdZ80Fky5iMEFXAprObTCvneyGwRTrCul+WNJ6aINA7EM/1fg4fjvsQfdr3gZuTG/I0Ofj935WY8nsE3vzjCWw+swAZBSkWx7l6GjH5Y1NzzTdfyvDHTo6uIbJVTEaIKmDj6d9MK+f7ovfbf7FWpALcnN3Qp30ffDjuQ/znyf+ged3mkAkyJKb9i+9OfIz/bG6L9/cMwPYLK5GtMY3ECe+mQc/hpqninx0j4uZNKe+AiKoK+4wQlVNqXirOpP0DCECQa0s07X1A6pBqJJlMhiYhTdAkpAly8nMQdy4Ox88eR2JyIhJSjiMh5TiWHHsPDeo0x6P+/dDz5f44feQxXL+kwLARBuyKkUPO+dCIbAqTEaJyWrjrV0AQgeTWGDLtfI2rFXH0fPgm7XB2cEbnlp3RuWVnZGRn4PjZ44g7F4erN6/ibOopnE09BeATeE4KgnzfMOz7tw/e/qAjPp/tCADwcvCS9gaIyCo4HTxROYgi4P56b2R57oDP9Vcx7ZN6Uodk0zJzMvHPxX/wT+I/OH/1PAxGw52dehUauoRjVPue6FevH9r4tYFcxqoSoodReb+/mYwQlcPC79Iw+bwfINfjpW6z0ai5g9Qh1RqFmkL8m/QvTl86jZN/X4ZWYTndvLPaGeGPhKNbUDd0C+6GcP9wqBUcB0z0MGAyQmQlt24Bjzy1GHlPvAhnY338d8orUodUa+m1AuZPaIbEmwlQNNkGeYOd0OgtZ1+1k9uhqW9TPB70OLoHdcejAY/C39lfooiJajcmI0RWMm6iESuNTwAhe9H30YHo/Vh3qUOqMG2BHN8OHwQAeHHdJijtDWUf8BArzFbiy35PI/msI+z+0x1eja6ibVhLJKUm4eL1i8gtyC12jKejJ1r6tUR7//bo6N8R4QHh8HXylSB6otqlvN/f7MBKVIZNm0Ws/OUs8MpeCBDQvmlbqUOqFNEo4MLBR8zrNZnaRYsX127GvH79ke19GMmZQNvgN9CjHSCKItKy0pCYnIiL1y/iUvIl3Mi8gfS8dOw6vwu7zu8yn6eOUx00822Glt4tEe4bjhbeLdDIqxGUcqWEd0dUOzEZISpFaiow8XkRaPstAKBpaFO4ObtJGxQBANwCcvHCml/x+R+m10ufHYiX12+Hg6sWddzqoI5bHTza+FEAgEanwbWb13Al9QqupF7B1dSruJFxAzdzb2L3+d3YfX63+bxymRwhHiFo4t0Erbxboa1PWzSu0xihbqGwk9tJcatEtQKTEaIS6PXA0yMNyMgugNBmBUQAHZt3lDosuot3g0zgdjJy7aQPFjw1FC+u2wxnb8shzCo7Fer610Vd/7rmbRqtBtfSruHazWtITk82L4XaQlxIu4ALaRfwa/yv5vJymRwBrgGo51kPYZ5haObVDE28mqChZ0P4OflBqGnjvIkeMkxGiErw9rtG7Nslh7zrQhhUt1DHrQ7CgsKkDotK4eiZj6unvPFFn6cxacMm1KmbVWZ5lbJ4giKKIm7l3kJyejKup11HSnoKktOTkXorFTq9DkmZSUjKTLKoSQEAezt7BLoHItgtGPXc66GReyM0cG+AUPdQhLiFwMGOI6+I7ofJCNE9Vn5vxP8+lwGKAii7f4oCI9AjvAdkMj494WE1+eefEf3MCKRfcsOXfYdj/IotqNfheoXOIQgC3J3d4e7sjiYhTczbjaIR2bnZSL2VitTMVNy8dRM3b91EamYqMrIzUKArwNnUszibehYxiCl2Xg8HDzzi9giC3YJR370+6rvVR4hrCB5xeQSPuDwCd7U7a1ao1mMyQnSXLVtFTJxg+mJo/OqnSDCmw8PFA+GNwiWOjMriVfcWXt+2DotHPIWrp7wx/6kheOq/+9HlPycfeKZcmSCDm7Mb3Jzd0DCwocU+vUGP9Kx0pGWlIT07HelZ6cjIzkBGdgbSs9NRqC1ERn4GMvIzcOr6qRLPr1Ko4O3sDX9nfwS4BCDYJRghriHmhMXf2R91HOpwYjeyaUxGiG7bu0/E0KGAQS+g3aALOOX5KaAH+rbvC7kNPAxF6aCTOgSrUyrujHxx8cnHq1vWY+2UHjj+UyP8PC0Cl474Ydhnu+HorqmS6yvkCvh4+MDHw6fE/fmF+UjPTjcnJxlZGcjMzURWbhZu5d5CbkEuNHoNrmRewZXMK6VeRybI4GbvBk9HT3g7ecPXyRf+Tv4IcArAI06PwM/ZDz6OPvB18oWHvQdrWqjG4TwjRAB+2yJi2DBAUyigVecC2I19CkevxiDENwSvP/06f7nXIKII7Pu2FTZ/0BlGgwyufrl45ss/0LjHZalDK0an1yErL8ucnBQt5tc5t5CTnwMR5f81rZAp4O7gDg9HD3jae8LLwQt1HOrAx8EHvo6+8HH0gZeDl3nxtPeESqGqwruk2oyTnhGVU/QKI/7zggCDXkDrLoVo9+YCLD7+BmQyGaYOn4pA70CpQ6RKuBzrgx8m90LqOQ8AQPjwBAyccRCufnkSR1YxBqMBeQV5yM7PRk5eDnIKcpCdl42c/Bxk52cjNz/X/DpfU7mHITooHeBm72ZKYuw94OngCU+1JzzsPeCl9oKXvSlpcVO7wd3eHe5qd7jbu8PRzpGJOpWJyQjRfWi1wKtTjFi80NQx9fH+Bej3zn58tO8paPSF6N+hP3q26ylxlPQgtPkK/Pbfjti/uBVEUYDKSYuebxxBlxdOQumglzo8q9Pr9cgpyEFOfg5yC3KRV5CHvMI85BXkIbfw9uvb23ILcpFfmA+jaKz09eQyOZxUTnBRu8BF7WJKVtTucFO7mZIatacpcVG5w1XlCheVC5xVznBRuZgXlVzFhMaGMRkhKsOpUyKeG2fEqROmviDDX85BxLh/MX13P2Tmp6FhYENMemqSzYyg0RXKsXxsfwDA+JVbYKeuudPBF9HpdVi+dTkAYHy/8bBTlD4pWdIJb/z0TgQuH/MDADh75+GJV2PRafzfNpmUlJdRNKJQU2hOTu5OXgo0BcjX5CNfk48CTQEKCgvM6/mafBiNlU9i7qaQKeCocoSj0rQ4q5wtEhZXlStcla6mREflDmelM5yUTnBSOsHRznTM3etMbh4unA6eqAQ5OcD/fWLE53MF6HVyOLoY8dqnt+DX9jTe3zMUmflp8PXwxbh+42wmEQEAo0FAfEyoed0WGEUj4i/Fm9fLEtQ6Fa9vW4fY9WH4PeoxZCS5YvMHXfDHF+F47Nl4dBz3NzyDs6sj7IeKTJDBQe0AB7UD6rjVKfdxoihCq9daJChFSUqBpgD5hXe2aXQaFGoLzYtGa3qt0Zk6FeuNemQVZCGroOy5YSpyT/Z29lDbqeGgdICDnYP5/0VJS1Ey42xnSmxcVa5wtnOGo50j7O3sYa+wN//fwc6h2DaObLI+JiNUKxQUAIuXGjFrFpCRZkoy2j1RiBdnZuGs9je888drKNDmw9vdG5OemgQHFSeqsjUyGdBuxL9oM+Qsjv7YGDHz2iH9sit2fhmOXV+1RVj3y2gz9Aya9b0Iexet1OE+1ARBgMpOBZWdqtKPSDCKRmi1WstE5Z7E5e7kpWjR6rTQ6rXQaDXQ6rXQ6rTQ6DTQG/Tm8+Zp85CnzUN6XroV7/oOhUwBlUIFlUIFtZ0aaoX6zv8VaovkxcHOAQ4KB/P/He0c4WjnaContzcfo1KooJKrzP+/d5taoYZKrrLZRIjJCNm0xERgwbdGLF0C3MowJSG+wXo8OzUHDbtcwvJTH+DgpS0AgGDfYDw/4Hk4OzhLGTJVMbmdEY89dxrtRsbj9PZQHIxugTO7g5HwRwgS/giBXKlH2BNJaNLzEhpFJMEr1Dp/sZMlmSCDWqWGWqW2yvkMRgN0Oh00OlOSotFpzInK3f83r+uLb9PpdZaL4c56UbIDmGpz9Fo98rTV3xlaJsigVCihlCthJ7czr6sUKijld9bVCjWUcqU5iSnappabtqvkKvOiVqihlCnvrMuVsJPZmc9XtNjJLbeVVKayyVKlkpEFCxZg7ty5SE5ORtOmTfHFF1+gc+fOpZbfu3cvIiMjcfr0afj7++Ptt9/GpEmTKhUwUVlEETh9GtjyuxFr1oo4GSsHYEpCvAP0eGpiHsJ6x2HrpQX4cssm6AxaCBAQ0ToCAzoOsIn5RKh85AoRLfpfRIv+F3HzghtiNzTCiZ8b4MZZT5zeVhent5mmivcMzkK9jtcQ1OYGglrfgH/TNChUNb/Pja2Ry+SQq+RWS27uZTQaLZKTkhIXrU5bLIm5d9HqtdAb9OalKNEpddHrLYZ2G0UjCnWFKNQVVsl9PigBAhRyBezkdlDIFZBry/c7tcLJyNq1azFlyhQsWLAAnTp1wrfffou+ffsiPj4eQUFBxconJiaiX79+eOGFF7Bq1SocPHgQkydPRp06dTB06NCKXp7ITBSBlBTg5Eng2AkjjhwTcXCfcLsZxpSAyGQiGndKQ+NB+2AI3IWt17diScwl8zlCfEMwNGIoh+/WcnXq3UKfd/5C77f/QkqCJ/7eWhdn9gTh0lE/pF92RfplVxxZY5oiXq7Uw7v+LXjXz4RPgwx4N8iEV2gWXP1y4eKbB7nioR8TQJUgk8mgkpmapqqTKIowGo2WCYxBVyxhKTOhuSfpMRqN0Bv1MBgMMBgNMBgMZb42H2PQm18bjKZ993ZkFiGakjHD7UkWy5kzVXg0Tfv27dGmTRssXLjQvK1x48YYNGgQoqKiipV/55138MsvvyAhIcG8bdKkSTh58iQOHz5crmtyNI3tMxgAjca0FBaa+nhkZgIZGaYlPV3EzXQjkq4Cly8DSVd0uJ6iRZ6mELDLBxzSbi83IXdNhVuD81AFJUDrcB7pBddx98dcLpOjcUhjRLSKQL2AerWi570mT4F3Al8GAHx6ZT5UjjV/BIlGp8E7C98BAHz60qdV8iWhybXDhcMBuHTUF0nHfZB0wgf5mfallhdkRjh758PNPxfOdfLh4F4Ie1cNHNwL4eBm+r/aWQulvR529jrY2euhvL3Y3d6mUBohyMQHnsaeqDoYRSOMhnuSm6KExWBAXnYevm77tXVH02i1WsTGxuLdd9+12N6rVy8cOnSoxGMOHz6MXr16WWzr3bs3li1bBp1OBzu74sPxNBoNNJo70zdnZZnabL2mdIGgvF3lI9yTQ4n3bBMB0eK1UPJxJc5sWPI2sRxl7uuu64v3xlyhc5d8LYutgli8WLmvV3oZsdznKfu8onhXkbuLlnRuwQAoCgHnQqBVIdC69NETBgDpgCkjv52Vu7u4I9gnGA0CG6BxcGNzB1VNTtVME/6w0eTLAZhGixTmFEA01PxmBo1eY/73LcwphFglNRKFqNv+X9Rt/y8A02c286ozUs+7I/W8G25edEPaBTdkXnVG1g1HiAY5slOA7BQHAA/WCVqQGyBXiJApjJDJTYtcIZrWFUYICtGUtNz+4REE01L082NaBwRBNP+/aL/FPpRQhshKjIZcAF/jfvUeFUpG0tLSYDAY4ONj+RwGHx8fpKSklHhMSkpKieX1ej3S0tLg5+dX7JioqCh89NFHxbbrlp+sSLhEZpm3/4tDnNShSOgtAMCMJvcpVgPN+GSG1CFYnWgA9AYAtSNfJhuXk5MDV1fXUvdXqgPrvdXaoiiWWdVdUvmStheZNm0aIiMjza9v3bqF4OBgJCUllXkzti47OxuBgYG4cuVKrW6u4vtgwvfBhO/DHXwvTPg+mDwM74MoisjJyYG/v3+Z5SqUjHh5eUEulxerBUlNTS1W+1HE19e3xPIKhQKenp4lHqNSqaBSFW//dXV1rdUfrCIuLi58H8D3oQjfBxO+D3fwvTDh+2Ai9ftQnkqECk0xqVQq0bZtW8TExFhsj4mJQceOHUs8pkOHDsXK79ixA+Hh4SX2FyEiIqLapcLzXUdGRmLp0qWIjo5GQkICpk6diqSkJPO8IdOmTcOYMWPM5SdNmoTLly8jMjISCQkJiI6OxrJly/Dmm29a7y6IiIioxqpwn5ERI0YgPT0ds2bNQnJyMpo1a4atW7ciODgYAJCcnIykpCRz+dDQUGzduhVTp07F/Pnz4e/vj6+++qpCc4yoVCrMmDGjxKab2oTvgwnfBxO+DyZ8H+7ge2HC98GkJr0PNeKpvURERGS7bOexpERERFQjMRkhIiIiSTEZISIiIkkxGSEiIiJJMRkhIiIiST30yciCBQsQGhoKtVqNtm3bYv/+/VKHVO2ioqLQrl07ODs7w9vbG4MGDcKZM2ekDktSUVFREAQBU6ZMkToUSVy7dg3PPvssPD094eDggFatWiE2NlbqsKqVXq/H+++/j9DQUNjb26Nu3bqYNWtWsUea25p9+/Zh4MCB8Pf3hyAI2LRpk8V+URQxc+ZM+Pv7w97eHhERETh9+rQ0wVahst4HnU6Hd955B82bN4ejoyP8/f0xZswYXL9+XbqAq8j9Pg93e/HFFyEIAr744otqi6+8HupkZO3atZgyZQqmT5+OEydOoHPnzujbt6/FPCa1wd69e/Hyyy/jzz//RExMDPR6PXr16oW8vDypQ5PE0aNHsXjxYrRo0ULqUCSRmZmJTp06wc7ODr///jvi4+Px+eefw83NTerQqtWnn36KRYsW4ZtvvkFCQgLmzJmDuXPn4uuvv5Y6tCqVl5eHli1b4ptvvilx/5w5czBv3jx88803OHr0KHx9fdGzZ0/k5ORUc6RVq6z3IT8/H8ePH8cHH3yA48ePY+PGjTh79iyefPJJCSKtWvf7PBTZtGkT/vrrr/s+I0Yy4kPs0UcfFSdNmmSxLSwsTHz33XcliujhkJqaKgIQ9+7dK3Uo1S4nJ0ds0KCBGBMTI3bt2lV8/fXXpQ6p2r3zzjvi448/LnUYkuvfv784YcIEi21DhgwRn332WYkiqn4AxJ9//tn82mg0ir6+vuInn3xi3lZYWCi6urqKixYtkiDC6nHv+1CSI0eOiADEy5cvV09QEijtfbh69aoYEBAg/vPPP2JwcLD4v//9r9pju5+HtmZEq9UiNjYWvXr1stjeq1cvHDp0SKKoHg5ZWVkAAA8PD4kjqX4vv/wy+vfvjx49ekgdimR++eUXhIeH4+mnn4a3tzdat26NJUuWSB1WtXv88cexc+dOnD17FgBw8uRJHDhwAP369ZM4MukkJiYiJSXF4vemSqVC165d+XszKwuCINS6GkSj0YjnnnsOb731Fpo2bSp1OKWq8HTw1SUtLQ0Gg6HY04B9fHyKPQW4NhFFEZGRkXj88cfRrFkzqcOpVj/++CNiY2Nx7NgxqUOR1MWLF7Fw4UJERkbivffew5EjR/Daa69BpVJZPBfK1r3zzjvIyspCWFgY5HI5DAYD/u///g8jR46UOjTJFP1uLOn35uXLl6UI6aFQWFiId999F6NGjap1T/H99NNPoVAo8Nprr0kdSpke2mSkiCAIFq9FUSy2rTZ55ZVXcOrUKRw4cEDqUKrVlStX8Prrr2PHjh1Qq9VShyMpo9GI8PBwzJ49GwDQunVrnD59GgsXLqxVycjatWuxatUqrF69Gk2bNkVcXBymTJkCf39/jB07VurwJMXfm3fodDo888wzMBqNWLBggdThVKvY2Fh8+eWXOH78+EP/7//QNtN4eXlBLpcXqwVJTU0tlvXXFq+++ip++eUX7N69G4888ojU4VSr2NhYpKamom3btlAoFFAoFNi7dy+++uorKBQKGAwGqUOsNn5+fmjSpInFtsaNG9e6jt1vvfUW3n33XTzzzDNo3rw5nnvuOUydOhVRUVFShyYZX19fAODvzdt0Oh2GDx+OxMRExMTE1Lpakf379yM1NRVBQUHm35uXL1/GG2+8gZCQEKnDs/DQJiNKpRJt27ZFTEyMxfaYmBh07NhRoqikIYoiXnnlFWzcuBG7du1CaGio1CFVu+7du+Pvv/9GXFyceQkPD8fo0aMRFxcHuVwudYjVplOnTsWGdp89e9b85OzaIj8/HzKZ5a8wuVxu80N7yxIaGgpfX1+L35tarRZ79+6tdb83ixKRc+fO4Y8//oCnp6fUIVW75557DqdOnbL4venv74+33noL27dvlzo8Cw91M01kZCSee+45hIeHo0OHDli8eDGSkpIwadIkqUOrVi+//DJWr16NzZs3w9nZ2fxXj6urK+zt7SWOrno4OzsX6yPj6OgIT0/PWtd3ZurUqejYsSNmz56N4cOH48iRI1i8eDEWL14sdWjVauDAgfi///s/BAUFoWnTpjhx4gTmzZuHCRMmSB1alcrNzcX58+fNrxMTExEXFwcPDw8EBQVhypQpmD17Nho0aIAGDRpg9uzZcHBwwKhRoySM2vrKeh/8/f0xbNgwHD9+HL/99hsMBoP596aHhweUSqVUYVvd/T4P9yZhdnZ28PX1RaNGjao71LJJO5jn/ubPny8GBweLSqVSbNOmTa0czgqgxGX58uVShyap2jq0VxRF8ddffxWbNWsmqlQqMSwsTFy8eLHUIVW77Oxs8fXXXxeDgoJEtVot1q1bV5w+fbqo0WikDq1K7d69u8TfB2PHjhVF0TS8d8aMGaKvr6+oUqnELl26iH///be0QVeBst6HxMTEUn9v7t69W+rQrep+n4d7PaxDewVRFMVqynuIiIiIinlo+4wQERFR7cBkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCT1//0ceJg8nLR+AAAAAElFTkSuQmCC\n",
+ "image/png": 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0XLx40dyH5caNGzhy5AgcHR3x0UcfVeq+fv31V3NScbdhw4bh22+/Rd++fdG7d2+MGzcOAQEByMjIQEJCAo4fP47169cDMH3h/Pe//8WMGTPQtWtXnDlzBrNmzUJoaCj0er35nGPGjMH8+fMxduxYXLp0Cc2bN8eBAwcwe/Zs9OvXDz169Cgz1qK+IGfPnrUY1VSSyMhIREZGVuIdKW7AgAFYsWIFwsLC0KJFC8TGxmLu3LlVMp+Fm5sbBg8ejBUrVuDWrVt48803LfprnDp1Cq+88gqefvppNGjQAEqlErt27cKpU6fw7rvvWjUWmUyGOXPmYPTo0RgwYABefPFFaDQazJ07F7du3cInn3xy33N06tQJ//nPfzB+/HgcO3YMXbp0gaOjI5KTk3HgwAE0b968wgljvXr1YG9vjx9++AGNGzeGk5MT/P394e/vX9lbBVD+z3GRP//8E56enpVKqKiGkrb/LNUmRaNpjh49WmxfQUGBGBQUJDZo0EDU6/WiKIriJ598IoaEhIgqlUps3LixuGTJkhJ79Jc2miY6Olps1KiRqFKpxLp164pRUVHismXLRABiYmKiRdlNmzaJ3bp1E11cXESVSiUGBweLw4YNE//44w9zmYqOpiltKXLy5Elx+PDhore3t2hnZyf6+vqKTzzxhLho0SJzGY1GI7755ptiQECAqFarxTZt2oibNm0Sx44dW2z0Snp6ujhp0iTRz89PVCgUYnBwsDht2jSxsLDwvjFnZWWJTk5O4pw5cyy23z2apiyVHU2TmZkpTpw4UfT29hYdHBzExx9/XNy/f7/YtWtXsWvXrveNozwjdO62Y8cO87/D2bNnLfbduHFDHDdunBgWFiY6OjqKTk5OYosWLcT//e9/5s9kae43gure0TRFNm3aJLZv315Uq9Wio6Oj2L17d/HgwYMVOnd0dLTYvn170dHRUbS3txfr1asnjhkzRjx27Ji5TGk/IyV9jtasWSOGhYWJdnZ2IgBxxowZFnHcLTg4WOzfv3+x897771eRz7HRaBSDg4OLjXAj2yaIYgkzQBFRrfPqq69i586dOH36dJU/g4SoNDt37kSvXr1w+vRphIWFSR0OVRMmI0QEwDQ6o2HDhli2bNkDj5Ihqqxu3bqhfv36WLJkidShUDVinxEiAmCahvuHH34oNqSUqLpkZmaia9eu5iHuVHuwZoSIiIgkxaG9REREJCkmI0RERCQpJiNEREQkqRrRgdVoNOL69etwdnbmkEMiIqIaQhRF5OTkwN/f32KSwXvViGTk+vXrCAwMlDoMIiIiqoQrV66UObNyjUhGiqbUvnLlClxcXCSOhqjmycsDimb0vn4dcHSUNh5ryNPmwf9z001df+M6HJU2cFNENiY7OxuBgYElPhrjbjUiGSlqmnFxcWEyQlQJdz0vEC4utpGMyLVy4PYDmV1cXJiMED3E7tfFgh1YiYiISFI1omaEiB6MQgGMHXtn3RYoZAqMbTnWvE5ENVeNmIE1Ozsbrq6uyMrKYjMNERFRDVHe72/+OUFEZGMMBgN0Op3UYVAtIJfLoVAoHnjaDSYjRLWAKAL5+aZ1BwfAFqbrEUUR+TrTTTnYOXAOottyc3Nx9epV1IBKb7IRDg4O8PPzg1KprPQ5mIwQ1QL5+YCTk2k9N9c2RtPk6/LhFGW6qdxpuRxNA1ONyNWrV+Hg4IA6deowQaMqJYoitFotbt68icTERDRo0KDMic3KwmSEiMhG6HQ6iKKIOnXqwN7eXupwqBawt7eHnZ0dLl++DK1WC7VaXanzcGgvEZGNYY0IVafK1oZYnMMKcRARERFVGpMRIiIikhSTESIiIpIUkxEiIpLUuHHjIAgCJk2aVGzf5MmTIQgCxo0bBwAYOHAgevToUeJ5Dh8+DEEQcPz48VKvlZCQgCeffBKurq5wdnbGY489hqSkpFLLb9y4EeHh4XBzc4OjoyNatWqF77//vtTyUVFREAQBU6ZMKbWMNRQWFmLcuHFo3rw5FAoFBg0aVKHjNRoNWrVqBUEQEBcXZ96enp6OPn36wN/fHyqVCoGBgXjllVeQnZ1t3Ru4B5MRolpALgeGDTMtdz80ryaTy+QY1mQYhjUZBrnMRm6qFgsMDMSPP/6IgoIC87bCwkKsWbMGQUFB5m0TJ07Erl27cPny5WLniI6ORqtWrdCmTZsSr3HhwgU8/vjjCAsLw549e3Dy5El88MEHZY4A8fDwwPTp03H48GGcOnUK48ePx/jx47F9+/ZiZY8ePYrFixejRYsWFbl1AMDMmTPNCVd5GAwG2Nvb47XXXis1OSvL22+/Df+iR3nfRSaT4amnnsIvv/yCs2fPYsWKFfjjjz9KTBStiUN7iWoBtRpYv17qKKxLrVBj/dM2dlNWdvdkd9WtopPrtWnTBhcvXsTGjRsxevRoAKZaicDAQNStW9dcbsCAAfD29saKFSswY8YM8/b8/HysXbsWs2fPLvUa06dPR79+/TBnzhzztrvPXZKIiAiL16+//jpWrlyJAwcOoHfv3ubtubm5GD16NJYsWYKPP/64XPf8IBwdHbFw4UIAwMGDB3Hr1q1yH/v7779jx44d+Omnn/D7779b7HN3d8dLL71kfh0cHIzJkydj7ty5Vom7NKwZISKyUUWT3UmxVCYJGj9+PJYvX25+HR0djQkTJliUUSgUGDNmDFasWGExy+z69euh1WrNicy9jEYjtmzZgoYNG6J3797w9vZG+/btsWnTpnLHJ4oidu7ciTNnzqBLly4W+15++WX079+/UrUU1enGjRt44YUX8P3338PBweG+5a9fv46NGzeia9euVRoXkxEiInooPPfcczhw4AAuXbqEy5cv4+DBg3j22WeLlZswYQIuXbqEPXv2mLdFR0djyJAhcHd3L/HcqampyM3NxSeffII+ffpgx44dGDx4MIYMGYK9e/eWGVdWVhacnJygVCrRv39/fP311+jZs6d5/48//ojY2FhERUWV+173798PJycn8zJ79mz88MMPxbZZkyiKGDduHCZNmoTw8PAyy44cORIODg4ICAiAi4sLli5datVY7sVmGqJaIC/P9qaDz9PmcTr4+3BwMP17S3XtivLy8kL//v2xcuVKiKKI/v37w8vLq1i5sLAwdOzYEdHR0ejWrRsuXLiA/fv3Y8eOHaWe22g0AgCeeuopTJ06FQDQqlUrHDp0CIsWLSrzL39nZ2fExcUhNzcXO3fuRGRkJOrWrYuIiAhcuXIFr7/+Onbs2FGh2UfDw8MtOo5+9dVXuHbtGj799FPzNg8Pj3Kfrzy+/vprZGdnY9q0afct+7///Q8zZszAmTNn8N577yEyMhILFiywajx3q3Aysm/fPsydOxexsbFITk7Gzz//XO5evAcPHkTXrl3RrFkzi38EIiKyPkGoeYnnhAkT8MorrwAA5s+fX2q5iRMn4pVXXsH8+fOxfPlyBAcHo3v37qWW9/LygkKhQJMmTSy2N27cGAcOHCgzJplMhvr16wMwJTAJCQmIiopCREQEYmNjkZqairZt25rLGwwG7Nu3D9988w00Gg3kJfQat7e3N58TMCUe2dnZFtusbdeuXfjzzz+hUqkstoeHh2P06NFYuXKleZuvry98fX0RFhYGT09PdO7cGR988AH8/PyqJLYKN9Pk5eWhZcuW+Oabbyp0XFZWFsaMGVPmh4WIiGq3Pn36QKvVQqvVWnQQvdfw4cMhl8uxevVqrFy5EuPHjy9zGnylUol27drhzJkzFtvPnj2L4ODgCsUoiiI0Gg0AoHv37vj7778RFxdnXoq+3OPi4kpMRKTy1Vdf4eTJk+Y4t27dCgBYu3Yt/u///q/U44r65hTdc1WocM1I37590bdv3wpf6MUXX8SoUaMgl8sr1GGIiIhqD7lcjoSEBPN6aZycnDBixAi89957yMrKKtew2LfeegsjRoxAly5d0K1bN2zbtg2//vqrRd+TMWPGICAgwNz/IyoqCuHh4ahXrx60Wi22bt2K7777zjySxdnZGc2aNbO4jqOjIzw9PYttv5tWq0VGRob5ddHQ2ZSUFIt7dCpqXy1BfHy8+Tw5OTnmFodWrVoBAI4cOYIxY8Zg586dCAgIsBgiXXR+AKhXrx4eeeQRAMDWrVtx48YNtGvXDk5OToiPj8fbb7+NTp06ISQkpNRYHlS19BlZvnw5Lly4gFWrVpVryJNGo7HIwKp6shUiInp4uLi4lKvcxIkTsWzZMvTq1avYF21JBg8ejEWLFiEqKgqvvfYaGjVqhJ9++gmPP/64uUxSUpLFg9/y8vIwefJkXL16Ffb29ggLC8OqVaswYsSIit/YXQ4dOoRu3bqVWWbGjBmYOXNmqfv79etnMd9K69atAdypycjPz8eZM2eg0+nKHZe9vT2WLFmCqVOnQqPRIDAwEEOGDMG7775b7nNUhiDePTaqogcLwn37jJw7dw6PP/449u/fj4YNG2LmzJnYtGlTmX1GZs6ciY8++qjY9qysrHJ/SInoDnZgrR0KCwuRmJiI0NDQSj/KnaiiyvrcZWdnw9XV9b7f31U6tNdgMGDUqFH46KOP0LBhw3IfN23aNGRlZZmXK1euVGGUREREJKUqbabJycnBsWPHcOLECXPvaKPRCFEUoVAosGPHDjzxxBPFjlOpVMV6+xJR5cnlQL9+d9ZtgVwmR78G/czrRFRzVWky4uLigr///tti24IFC7Br1y5s2LABoaGhVXl5IrpNrQa2bJE6CutSK9TYMsrGboqolqpwMpKbm4vz58+bXycmJiIuLg4eHh4ICgrCtGnTcO3aNXz33XeQyWTFehN7e3tDrVaX2cuYiIiIao8KJyPHjh2z6AEcGRkJABg7dixWrFiB5OTkMh/HTERERHS3BxpNU13K2xuXiEqWlwd4e5vWU1NtZzSN92emm0p9M5WjacDRNCQNa4ym4bNpiGoJqR4lX5XydTZ4U0S1EJ/aS0RERJJiMkJERESSYjJCREREkmIyQkREkho3bhwEQSi2nD9/HgMHDkSPHj1KPO7w4cMQBAHHjx8vcX9J5xQEAXPnzi01Fp1Oh1mzZqFevXpQq9Vo2bIltm3bZlFm5syZxc7p6+tb+Teggs6fPw9nZ2e4ubmVWW7Pnj2lvgdHjx41l9u5cyc6duwIZ2dn+Pn54Z133oFer6/iu7DEZISIiCTXp08fJCcnWyyhoaGYOHEidu3aZfFAuCLR0dFo1aoV2rRpU+I57z1fdHQ0BEHA0KFDS43j/fffx7fffouvv/4a8fHxmDRpEgYPHowTJ05YlGvatKnFue+d4PN+Zs6cWa4nDd9Lp9Nh5MiR6Ny5833LduzYsdh78PzzzyMkJATh4eEAgFOnTqFfv37o06cPTpw4gR9//BG//PJLlT8Y714cTUNUC8hkQNeud9ZtgUyQoWtwV/M6FSeKomQjjhzsHCAIQrnLq1SqEmsXBgwYAG9vb6xYsQIzZswwb8/Pz8fatWsxe/bsUs957/k2b96Mbt26oW7duqUe8/3332P69Onod/v5CS+99BK2b9+Ozz//HKtWrTKXUygU1VobUuT9999HWFgYunfvjkOHDpVZVqlUWsSo0+nwyy+/4JVXXjH/2/z4449o0aIFPvzwQwBA/fr1ERUVhZEjR2LGjBlwdnauupu5C5MRolrA3h7Ys0fqKKzL3s4ee8btkTqMh1q+Lt/8ZOPqZq0nKSsUCowZMwYrVqzAhx9+aP4SXb9+PbRaLUaPHl2u89y4cQNbtmzBypUryyyn0WiKzZVhb2+PAwcOWGw7d+4c/P39oVKp0L59e8yePbvMJMcadu3ahfXr1yMuLg4bN26s8PG//PIL0tLSLGpkSrvfwsJCxMbGIiIi4gGjLh/+OUFERJL77bff4OTkZF6efvpp874JEybg0qVL2HNXRh0dHY0hQ4bA3d29XOdfuXIlnJ2dMWTIkDLL9e7dG/PmzcO5c+dgNBoRExODzZs3Izk52Vymffv2+O6777B9+3YsWbIEKSkp6NixI9LT0yt20xWQnp6OcePGYcWKFZWe/HPZsmXo3bs3AgMDzdt69+6NQ4cOYc2aNTAYDLh27Ro+/vhjALC456rGmhEiIhvlYOeA3Gm5kl27Irp164aFCxeaXzveNU1wWFgYOnbsiOjoaHTr1g0XLlzA/v37sWPHjnKfPzo6GqNHj77vzLRffvklXnjhBYSFhUEQBNSrVw/jx4/H8uXLzWX69u1rXm/evDk6dOiAevXqYeXKleZHpNxr//79FsdptVqIoogNGzaYt7333nt47733Sjz+hRdewKhRo9ClS5dy3e+9rl69iu3bt2PdunUW23v16oW5c+di0qRJeO6556BSqfDBBx/gwIEDkFfnI77FGiArK0sEIGZlZUkdClGNlJsril5epiU3V+porCNXkyt6zfESveZ4ibkaG7mpB1RQUCDGx8eLBQUFUodSIWPHjhWfeuqpMsssW7ZMtLe3F7OyssTp06eLISEhotFoLNf59+3bJwIQ4+Liyh1TQUGBePXqVdFoNIpvv/222KRJkzLL9+jRQ5w0aVKp+/Pz88Vz586Zl1dffVUcMmSIxbb09PRSj3d1dRXlcrl5kclkIgBRLpeLy5Ytu+/9zJo1S6xTp46o1WpL3G80GsVr166J+fn5Ynx8vAhAPHLkyH3PK4plf+7K+/3NmhGiWiItTeoIrC8t3wZviko0fPhwvP7661i9ejVWrlyJF154odwdZJctW4a2bduiZcuW5b6eWq1GQEAAdDodfvrpJwwfPrzUshqNBgkJCWWOcLG3t0f9+vXNrz08PJCdnW2xrSyHDx+GwWAwv968eTM+/fRTHDp0CAEBAWUeK4oili9fjjFjxsDOzq7EMoIgwN/fHwCwZs0aBAYGljpKqSowGSEiooeek5MTRowYgffeew9ZWVnlHhabnZ2N9evX4/PPPy9x/5gxYxAQEICoqCgAwF9//YVr166hVatWuHbtGmbOnAmj0Yi3337bfMybb76JgQMHIigoCKmpqfj444+RnZ2NsWPHPvB9lqZx48YWr48dOwaZTIZmzZqZtx05cgRjxozBzp07LRKUXbt2ITExERMnTizx3HPnzkWfPn0gk8mwceNGfPLJJ1i3bl21NtOwAysREdUIEydORGZmJnr06IGgoKByHfPjjz9CFEWMHDmyxP1JSUkWHTULCwvx/vvvo0mTJhg8eDACAgJw4MABiwnGrl69ipEjR6JRo0YYMmQIlEol/vzzTwQHBz/Q/T2o/Px8nDlzBjqdzmL7smXL0LFjx2IJTZHff/8dnTt3Rnh4OLZs2YLNmzdj0KBB1RDxHYIoimK1XrESyvsIYiIqWV4e4HR7hGduLuD44CMuJZenzTMPW7XWMNKarqxHuRNVlbI+d+X9/mbNCBEREUmKyQgRERFJih1YiWoBmQy4/SgKm5oOPtw/3LxORDUXkxGiWsDeHrjrIZ02wd7OHkdfsLGbIqql+OcEEZGNqQHjEsiGWOPzxmSEiMhGFM0LodVqJY6EapP8fNOToUubUK082ExDVAvk5wNNmpjW4+MBh4o9NuShlK/LR5P5ppuKfzm+ws9CsUUKhQIODg64efMm7OzsILOVDkL0UBJFEfn5+UhNTYWbm9sDTZLGZISoFhBF4PLlO+u2QBRFXM66bF4n05Tefn5+SExMxOWif3CiKubm5gZfX98HOgeTESIiG6JUKtGgQQM21VC1sLOzs8q08UxGiIhsjEwm4wysVKOwQZGIiIgkxWSEiIiIJMVkhIiIiCTFPiNEtYAg3BnaKwjSxmItgiCgSZ0m5nUiqrmYjBDVAg4OwOnTUkdhXQ52Djg92cZuiqiWYjMNERERSYrJCBEREUmKyQhRLZCfDzRtalpuP0aixsvX5aPpgqZouqAp8nU2clNEtRT7jBDVAqJoeiZN0botEEUR8TfjzetEVHOxZoSIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJFXhZGTfvn0YOHAg/P39IQgCNm3aVGb5jRs3omfPnqhTpw5cXFzQoUMHbN++vbLxElElCAIQHGxabGXmdEEQEOwajGDXYE4HT1TDVTgZycvLQ8uWLfHNN9+Uq/y+ffvQs2dPbN26FbGxsejWrRsGDhyIEydOVDhYIqocBwfg0iXT4uAgdTTW4WDngEtTLuHSlEtwsLORmyKqpQTxAQboC4KAn3/+GYMGDarQcU2bNsWIESPw4Ycflqt8dnY2XF1dkZWVBRcXl0pESkRERNWtvN/f1T7pmdFoRE5ODjw8PEoto9FooNFozK+zs7OrIzQiIiKSQLV3YP3888+Rl5eH4cOHl1omKioKrq6u5iUwMLAaIySyPQUFQLt2pqWgQOporKNAV4B2S9qh3ZJ2KNDZyE0R1VLVWjOyZs0azJw5E5s3b4a3t3ep5aZNm4bIyEjz6+zsbCYkRA/AaASOHbuzbguMohHHrh8zrxNRzVVtycjatWsxceJErF+/Hj169CizrEqlgkqlqqbIiIiISErV0kyzZs0ajBs3DqtXr0b//v2r45JERERUQ1S4ZiQ3Nxfnz583v05MTERcXBw8PDwQFBSEadOm4dq1a/juu+8AmBKRMWPG4Msvv8Rjjz2GlJQUAIC9vT1cXV2tdBtERERUU1W4ZuTYsWNo3bo1WrduDQCIjIxE69atzcN0k5OTkZSUZC7/7bffQq/X4+WXX4afn595ef311610C0RERFSTVbhmJCIiAmVNTbJixQqL13v27KnoJYiIiKgWqfZ5RohIGl5eUkdgfV4ONnhTRLUQkxGiWsDREbh5U+oorMtR6Yibb9nYTRHVUnxqLxEREUmKyQgRERFJiskIUS1QUABERJgWW5oOPmJFBCJWRHA6eKIajn1GiGoBoxHYu/fOui0wikbsvbzXvE5ENRdrRoiIiEhSTEaIiIhIUkxGiIiISFJMRoiIiEhSTEaIiIhIUhxNQ1RLODhIHYH1OdjZ4E0R1UJMRohqAUdHIC9P6iisy1HpiLz3bOymiGopNtMQERGRpJiMEBERkaSYjBDVAoWFQP/+pqWwUOporKNQX4j+q/uj/+r+KNTbyE0R1VLsM0JUCxgMwNatd9ZtgcFowNZzW83rRFRzsWaEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxaG9RLWAoyMgilJHYV2OSkeIM2zspohqKdaMEBERkaSYjBAREZGkmIwQ1QKFhcDTT5sWW5oO/un1T+Pp9U9zOniiGo7JCFEtYDAAGzaYFluaDn5D/AZsiN/A6eCJajgmI0RERCQpJiNEREQkKSYjREREJCkmI0RERCQpJiNEREQkKSYjREREJClOB09UCzg4ALm5d9ZtgYOdA3Kn5ZrXiajmYjJCVAsIgun5NLZEEAQ4Km3spohqKTbTEBERkaSYjBDVAhoNMG6cadFopI7GOjR6DcZtGodxm8ZBo7eRmyKqpSqcjOzbtw8DBw6Ev78/BEHApk2b7nvM3r170bZtW6jVatStWxeLFi2qTKxEVEl6PbBypWnR66WOxjr0Rj1WnlyJlSdXQm+0kZsiqqUqnIzk5eWhZcuW+Oabb8pVPjExEf369UPnzp1x4sQJvPfee3jttdfw008/VThYIiIisj0V7sDat29f9O3bt9zlFy1ahKCgIHzxxRcAgMaNG+PYsWP47LPPMHTo0IpenoiIiGxMlfcZOXz4MHr16mWxrXfv3jh27Bh0Ol2Jx2g0GmRnZ1ssREREZJuqPBlJSUmBj4+PxTYfHx/o9XqkpaWVeExUVBRcXV3NS2BgYFWHSURERBKpltE0giBYvBZFscTtRaZNm4asrCzzcuXKlSqPkYiIiKRR5ZOe+fr6IiUlxWJbamoqFAoFPD09SzxGpVJBpVJVdWhERET0EKjyZKRDhw749ddfLbbt2LED4eHhsLOzq+rLExFMU8Cnpt5ZtwUOdg5IfTPVvE5ENVeFm2lyc3MRFxeHuLg4AKahu3FxcUhKSgJgamIZM2aMufykSZNw+fJlREZGIiEhAdHR0Vi2bBnefPNN69wBEd2XIAB16piWUlpHaxxBEFDHsQ7qONYptcmXiGqGCteMHDt2DN26dTO/joyMBACMHTsWK1asQHJysjkxAYDQ0FBs3boVU6dOxfz58+Hv74+vvvqKw3qJiIgIACCIRb1JH2LZ2dlwdXVFVlYWXFxcpA6HqMbRaIDbfzdg3jzAFrpkafQaRG433dS83vOgUtjATRHZmPJ+fzMZIaoF8vIAJyfTem6ubTzBN0+bB6co003lTsvlE3yJHkLl/f7mg/KIiIhIUkxGiIiISFJMRoiIiEhSTEaIiIhIUkxGiIiISFJMRoiIiEhSVT4dPBFJz94eSEy8s24L7O3skfh6onmdiGouJiNEtYBMBoSESB2FdckEGULcQqQOg4isgM00REREJCkmI0S1gFYLvPWWadFqpY7GOrQGLd7a8Rbe2vEWtAYbuSmiWorTwRPVApwOnoikwOngiYiIqEZgMkJERESSYjJCREREkmIyQkRERJJiMkJERESSYjJCREREkuIMrES1gL098M8/d9Ztgb2dPf556R/zOhHVXExGiGoBmQxo2lTqKKxLJsjQ1NvGboqolmIzDREREUmKNSNEtYBWC8yebVp/7z1AqZQ2HmvQGrSYvd90U+91fg9KuQ3cFFEtxengiWoBTgdPRFLgdPBERERUIzAZISIiIkkxGSEiIiJJMRkhIiIiSTEZISIiIkkxGSEiIiJJcZ4RolpArQaOHLmzbgvUCjWOPH/EvE5ENReTEaJaQC4H2rWTOgrrksvkaBdgYzdFVEuxmYaIiIgkxZoRolpAqwW+/NK0/vrrtjMd/Jd/mm7q9cde53TwRDUYp4MnqgU4HTwRSYHTwRMREVGNwGSEiIiIJMVkhIiIiCTFZISIiIgkValkZMGCBQgNDYVarUbbtm2xf//+Msv/8MMPaNmyJRwcHODn54fx48cjPT29UgETERGRbalwMrJ27VpMmTIF06dPx4kTJ9C5c2f07dsXSUlJJZY/cOAAxowZg4kTJ+L06dNYv349jh49iueff/6BgyciIqKar8JDe9u3b482bdpg4cKF5m2NGzfGoEGDEBUVVaz8Z599hoULF+LChQvmbV9//TXmzJmDK1eulOuaHNpL9GAMBqCoArNzZ9OMrDWdwWjA/iTTTXUO6gy5zAZuisjGVMnQXq1Wi9jYWPTq1ctie69evXDo0KESj+nYsSOuXr2KrVu3QhRF3LhxAxs2bED//v1LvY5Go0F2drbFQkSVJ5cDERGmxRYSEcA0HXxESAQiQiKYiBDVcBVKRtLS0mAwGODj42Ox3cfHBykpKSUe07FjR/zwww8YMWIElEolfH194ebmhq+//rrU60RFRcHV1dW8BAYGViRMIiIiqkEq1YFVEASL16IoFttWJD4+Hq+99ho+/PBDxMbGYtu2bUhMTMSkSZNKPf+0adOQlZVlXsrbnENEJdPpgPnzTYtOJ3U01qEz6DD/yHzMPzIfOoON3BRRLVWhZ9N4eXlBLpcXqwVJTU0tVltSJCoqCp06dcJbb70FAGjRogUcHR3RuXNnfPzxx/Dz8yt2jEqlgkqlqkhoRFQGrRZ45RXT+rhxgJ2dpOFYhdagxSu/m25qXKtxsJPbwE0R1VIVqhlRKpVo27YtYmJiLLbHxMSgY8eOJR6Tn58PmczyMvLbjdY14LE4REREVMUq3EwTGRmJpUuXIjo6GgkJCZg6dSqSkpLMzS7Tpk3DmDFjzOUHDhyIjRs3YuHChbh48SIOHjyI1157DY8++ij8/f2tdydERERUI1WomQYARowYgfT0dMyaNQvJyclo1qwZtm7diuDgYABAcnKyxZwj48aNQ05ODr755hu88cYbcHNzwxNPPIFPP/3UendBRERENVaF5xmRAucZIXoweXmAk5NpPTcXcHSUNh5ryNPmwSnKdFO503LhqLSBmyKyMVUyzwgRERGRtTEZISIiIklVuM8IEdU8KhXw22931m2BSqHCbyN/M68TUc3FPiNERERUJdhnhIiIiGoENtMQ1QI6HfDDD6b10aNtYwZWnUGHH/423dTo5qM5AytRDcZmGqJagEN7iUgKbKYhIiKiGoHJCBEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJivOMENUCKhWwbt2ddVugUqiwbtg68zoR1VycZ4SIiIiqBOcZISIiohqBzTREtYBeD/z8s2l98GBAYQM/+XqjHj8nmG5qcOPBUMhs4KaIain+9BLVAhoNMHy4aT031zaSEY1eg+EbTDeVOy0XCqUN3BRRLcVmGiIiIpIUkxEiIiKSFJMRIiIikhSTESIiIpIUkxEiIiKSFJMRIiIikhTHwhHVAkolsHz5nXVboJQrsfyp5eZ1Iqq5OB08ERERVQlOB09EREQ1AptpiGoBvR7Yvt203ru3bczAqjfqsf286aZ61+/N6eCJajD+9BLVAhoNMGCAad2WpoMfsMZ0U5wOnqhmYzMNERERSYrJCBEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJimPhiGoBpRL45ps767ZAKVfim77fmNeJqObidPBERERUJTgdPBEREdUIbKYhqgUMBmD/ftN6586AXC5tPNZgMBqwP8l0U52DOkMus4GbIqqlKlUzsmDBAoSGhkKtVqNt27bYX/RbrhQajQbTp09HcHAwVCoV6tWrh+jo6EoFTEQVV1gIdOtmWgoLpY7GOgr1hei2shu6reyGQr2N3BRRLVXhmpG1a9diypQpWLBgATp16oRvv/0Wffv2RXx8PIKCgko8Zvjw4bhx4waWLVuG+vXrIzU1FXq9/oGDJyIiopqvwh1Y27dvjzZt2mDhwoXmbY0bN8agQYMQFRVVrPy2bdvwzDPP4OLFi/Dw8CjXNTQaDTQajfl1dnY2AgMD2YGVqJLy8gAnJ9N6bi7g6ChtPNaQp82DU5TppnKn5cJRaQM3RWRjqqQDq1arRWxsLHr16mWxvVevXjh06FCJx/zyyy8IDw/HnDlzEBAQgIYNG+LNN99EQUFBqdeJioqCq6ureQkMDKxImERERFSDVKiZJi0tDQaDAT4+PhbbfXx8kJKSUuIxFy9exIEDB6BWq/Hzzz8jLS0NkydPRkZGRqn9RqZNm4bIyEjz66KaESIiIrI9lRpNIwiCxWtRFIttK2I0GiEIAn744Qe4uroCAObNm4dhw4Zh/vz5sLe3L3aMSqWCSqWqTGhERERUw1SomcbLywtyubxYLUhqamqx2pIifn5+CAgIMCcigKmPiSiKuHr1aiVCJiIiIltSoZoRpVKJtm3bIiYmBoMHDzZvj4mJwVNPPVXiMZ06dcL69euRm5sLp9s96M6ePQuZTIZHHnnkAUInovKyswPmzLmzbgvs5HaY02OOeZ2Iaq4Kj6ZZu3YtnnvuOSxatAgdOnTA4sWLsWTJEpw+fRrBwcGYNm0arl27hu+++w4AkJubi8aNG+Oxxx7DRx99hLS0NDz//PPo2rUrlixZUq5rcjp4IiKimqe8398V7jMyYsQIpKenY9asWUhOTkazZs2wdetWBAcHAwCSk5ORlJRkLu/k5ISYmBi8+uqrCA8Ph6enJ4YPH46PP/64ErdFREREtoYPyiOqBQwG4Phx03qbNrYzHfzxZNNNtfFrw+ngiR5CVVYzQkQ1T2Eh8OijpnVbmfSsUF+IR5eaboqTnhHVbHxqLxEREUmKyQgRERFJiskIERERSYrJCBEREUmKyQgRERFJiskIERERSYpDe4lqATs7YMaMO+u2wE5uhxldZ5jXiajm4qRnRDZCFIHft4lYusKIs2cAVzegd0/g1clyuLtLHR0R1Uac9IyoFsnOBkaMNmDbb3IAd2YiPbQXmPe5EdHRwJBBbJUloocTkxGiGi4nB+jU1YB/4uRQ2Ino9Uw+WnTQIP2GHL//4ICr5+0wdDAw/QMjRo6QoXFjQGYDeYlRNCLhZgIAoHGdxpAJNnBTRLUUm2mIajCjEejRx4DdMXK4uBswfXEm6jfXmffrtED0bBfs+PHOVOm2Mh18njYPTlFOADgdPNHDqrzf3/xTgqgGm/O5Ebtj5FDZG4slIgBgpwT+MyMbPUfkmbf9/fdD//cHEdUyTEaIaqgzZ0R8+L4AABj3Tk6xRKSIIADPvZFjfj1mghFabbWESERULkxGiGqo198wQqcV0LKTBj1H5JdZVn5X77BzCXK8P9NYxdEREZUfkxEiCRy6cgitl7ZGk2+bYNOZTRU+fucuEdu3yCGTi5jwXjYEoWLHz5sr4MwZNtcQ0cOByQhRNUvKSkLPVT0Rdy0OCSkJGLp2KHYm7qzQOaa9b6rZ6DUiH4/U01fo2FaPF8KgF/DqVNaOENHDgckIUTWL3BmJfG0+Ar0D0bxucxhFIyb8OgE6Q8l9Pu61/4CIo4dNw3iHvphb4euPisyGXCEi5nc5tu9g7QgRSY/JCFE1Ss1Lxeb4zQCAoRFDMbrnaDjZOyEpMwnLTy4v1zlm/Z+pRiNiUAE8fMpXuyFXiHhyQi6enJCLoPoG9Bll6mPy1rtGPPyD+0tmJ7fDmx3exJsd3uR08EQ1HJMRomr0wz8/QG/QI8gnCCG+IVCr1OjWphsA4H9H/of7Tfvz77/AH9vkEAQRT00of62InRIY+3YOxr6dAzslMHRSLlT2Rvx9Qo7fttTMbEQpV2Jur7mY22sulHKl1OEQ0QNgMkJUjX468xMAoFX9VuZt7Zu0h0KuwL83/sWRa0fKPP6rBQYAQNsIDfxDDZWOw9XDaK4deX9Gza0dISLbwGSEqJrkaHLwV9JfAICmoU3N253sndCyfksAwNJTS0s9vrAQWL3KNGym132G8t7LaARSr8qRelUO4+2Wnacm5EFlb8Sp4zWzdsQoGnHp1iVcunUJRpGdcYlqMiYjRNXkYNJB6A16eLh4wNvd22Jf6watAQCbEjaV+sW6dr0RWZkyePnr0aqzpkLX1hYKeKmHN17q4Q1toSmhcfU0ovczpqTm/z6peV/mBboChH4ZitAvQ1GgK5A6HCJ6AExGiKrJzium4bt1/etCuGdikLCgMKiVaqTlpuFg0sESj1+wyFR70WNYAeTyEotU2ICxeZArRPx1UI5jx2pe7QgR2QYmI0TV5MCVAwCAUL/QYvsUCgWa120OAFgVv6rY/sRE4MghU8fVJ4ZWrImmLJ6+RnTqWwgAiPqs5tWOEJFtYDJCVA0MRgNOXjsJoORkBACa1W0GANh2bluxfd/9YOqs2uwxLTzLOZy3vAaMNY3K2fyTDFevWvXURETlwmSEqBrE34xHga4AKjsVfD18SyzTKLARZDIZkjKTcD7jvMW+1WtM/3+8v/X7RtRrpkfTdhoY9AI++6LyI3SIiCqLyQhRNThx4wQAIKBOAGSykn/s1Co16vnXAwBsOrvJvP3vv0WcjTfNuPpYz8IqiW/AuDwAwIpoAYVVcwkiolIxGSGqBkdSTPOH+Hv6l1muSUgTAJbJyMpVpmaZ1l00cHKtmk6mbSM08PLXIytThjVr2XeEiKoXkxGiahB3Iw4A4OflV2a5xiGNAQBHko4gT5sHUQTWrjONvOn8AE00coWIPqPy0GeUafRMsf1yoOdw0/m/WVAzRtUoZApMDp+MyeGToZAppA6HiB4Af4KJqsGZ1DMAAH+vsmtGfNx94OHigYzsDOxK3AX/3AG4ekkGlb0R4d0q335ipwRe+DC7zDLdh+Zj3TdOOH5EjpMnRbRsKZRZXmoqhQrz+8+XOgwisgLWjBBVsfT8dKTlpgEA/DzLrhkRBAFhwWEAgM3nN2PdT7ebaDproLKv2jjd6xjxaA9TwvPlfDbVEFH1YTJCVMX+Tv0bAODp4gm1Un3f8o2DTE01Oy7swCbTA37xaI+Kzbh6L1EEsjJkyMqQlfkcmqIZWdeuliEn54EuWeVEUcTNvJu4mXfzvg8YJKKHG5MRoip2KvUUAMDXs+Qhvfdq8EgDyGQyXMm8grPJlyCTi2jb9cGGuGgKBEzo6IMJHX2gKSi9+aVZey38Q/TIzxPw3aqHu3YkX5cP78+84f2ZN/J11psIjoiqH5MRoioWnxEPAPBy9SpXebVKfWditPrb0fRRbZWNormXIAA9bz+Eb/FS1jYQUfVgMkJUxc5mnAVQ/mQEABoHm5pqUG87Hn2ieif+6PpUAeQKEaeOy3HqFBMSIqp6TEaIqtjlzMsAAC+38icjgc4tTSt1d6J1t7JHwVibq8edkTuLlj7cTTVEZBuYjBBVIVEUcfWW6YEvFakZyTjSGcj1AZR5SLP7q6rCK9UTQ0xzjqz5QYBWW+2XJ6JaplLJyIIFCxAaGgq1Wo22bdti//795Tru4MGDUCgUaNWqVWUuS1TjJOcmQ6vXQibI4OHsUe7jTm+vD5zvDQA4kfJHVYVXqtadNXCrY8CtDBl+/ZVNNURUtSqcjKxduxZTpkzB9OnTceLECXTu3Bl9+/ZFUlJSmcdlZWVhzJgx6N69e6WDJappzqWfAwC4O7tDLpeX6xi9VoZz+wKBC0XJyK4qi680cgUQMchUO7KQTTVEVMUqnIzMmzcPEydOxPPPP4/GjRvjiy++QGBgIBYuXFjmcS+++CJGjRqFDh06VDpYoprmn/R/AFSsiebin/7Q5CrhmNURAgQkZZ5DRkHKA8UhV4iIGJSPiEH5JU4HX5InBptG1ezeIcP16w90+SqhkCkwtuVYjG05ltPBE9VwFUpGtFotYmNj0atXL4vtvXr1wqFDh0o9bvny5bhw4QJmzJhRrutoNBpkZ2dbLEQ10b8Z/wKoWOfVf3cGAwCadMxHoE8gACAuec8DxWGnBF79JAuvfpIFO2X5jgmoa0Cj1loYjQKWrTA80PWrgkqhwopBK7Bi0AqoFCqpwyGiB1ChZCQtLQ0GgwE+Pj4W2318fJCSUvJfbufOncO7776LH374AQpF+f56iYqKgqurq3kJDAysSJhED43zmecBVKxmJOGPEABA4+6XERZkmhr+xI3q7zcCAE8MNdWOLF+OMmduJSJ6EJXqwCoIljM4iqJYbBsAGAwGjBo1Ch999BEaNmxY7vNPmzYNWVlZ5uXKlSuVCZNIcomZiQAAT1fPcpXPvOqE5AQvCDIjGnVLMj+n5mTKARiMla+dEEWgMF9AYb5QoaSiU59CqOyNSDwvx8GDD1c2Iooi8rR5t59u/HDFRkQVU6FkxMvLC3K5vFgtSGpqarHaEgDIycnBsWPH8Morr0ChUEChUGDWrFk4efIkFAoFdu0quWOeSqWCi4uLxUJUE13LvAYAqONWp1zl/91laqIJanMDjh6FCPYNhlqpRp4mGxcyT1Y6Dk2BgNFtfDG6jW+Z08Hfy95JRIfepjlHvl32cHVkzdflwynKCU5RTpwOnqiGq1AyolQq0bZtW8TExFhsj4mJQceOHYuVd3Fxwd9//424uDjzMmnSJDRq1AhxcXFo3779g0VP9BDLKMhAriYXgOkheeVhbqLpcQkAIJfJ0SiwEQAgLnm31WMsj6I5R37eIENeniQhEJGNq3AzTWRkJJYuXYro6GgkJCRg6tSpSEpKwqRJkwCYmljGjBljOrlMhmbNmlks3t7eUKvVaNasGRwdHa17N0QPkfPppv4iLo4uUJaj16hBJ8PZvab+UY27XzZvL2qqOX4jpsTjqlrjcC18AvXIyxWwfgObQ4jI+iqcjIwYMQJffPEFZs2ahVatWmHfvn3YunUrgoNN1cvJycn3nXOEqDY4nXEaQPk7r1466ovCHBUcPfMR2PqGeXtRMnI+7R/kaDKtH+h9yGR35hxZ/JA11RCRbahUB9bJkyfj0qVL0Gg0iI2NRZcuXcz7VqxYgT179pR67MyZMxEXF1eZyxLVKPHpFXtab/ztJpqwJ5Igu+sn093ZHb4evhBFI07dKN9sx9YWMagAgiDi8H45Ll2SJAQismF8Ng1RFTEP6y3nHCN3hvReKravqHZEiqnhAcA7wIBmj5keUrM0mrUjRGRdTEaIqkjRsN7y1IxkJTvi+j91IAgiwp4o3sxpnm8kZY9kw1ifGGIasbJiJWBkPkJEVsQ5lImqyJVM0/w45UlGiob0Bra+ASevgmL76wXUg53CDrfy05CU9S+C3RpXKBaZXESH3gXm9cpo36MQDk5GXEuSYe9eEd26lX+IcFWQy+QY1mSYeZ2Iai4mI0RVIE+bh4y8DADlS0YS/jAlI2FPXC5xv53CDvUD6iPhcgJOpOyscDKiVAFvfnmrQsfcS2UPdOxbiD/WO+DbZUZ06yZtAqBWqLH+6fWSxkBE1sFmGqIqcDHzIgDAQeUAB7VDmWUNegFn9gQBuDO/SEnMQ3xTpBniC9xpqtm8UYacHMnCICIbw2SEqAoUPSCvPNPAXz7mi4IsNRzcChHc9kap5YqSkTOpJ1Cgk2b2sYatdPAP1aOwQMDatZxzhIisg8kIURVIyEgAUL6RNAk7QwAAjbpdLrM/h7ebNzxcPKA36nHqxr4KxVOYL2BomB+GhvmhML/yfT0EAeg22FQ7skTiUTV52jwIHwkQPhKQp+XUsEQ1GZMRoipwJv0MgIr1F2nco+T+IkUEQUCz0GYAgEPXf37ACCsv4qkCyGQijhyW49w5ycIgIhvCZISoClzIvADg/slITqoDrp40PWSytM6rd2tZvyUAIPbKLugMmgeMsnI8fIxo+bjp2suWc4wvET04JiNEVSAp0zRXyP2SkYRdpo6rj7RIhYvP/Z88G+ofChdHFxTo8hGXsvfBA62kboNNw4RXrgQMBsnCICIbwWSEyMp0Bh1uZJs6ot43GbnnKb33IxNkaFnPVDty6NrGSsf4oNo9UQgnVyNSrsuwc6dkYRCRjWAyQmRll7MuwygaYaewg4ujS6nljAYBZ3abakbCut+/iaZIqwatAADHru6EzqB9oFgrS6kCHu9vqh35dimbaojowTAZIbKyc+mmXp1erl4QhNJHriQd90F+pj3ULhqEtEsu9/lD/ULh4uCCfG0eTt2Qvqnmt18E3LolWRhEZAOYjBBZWdGw3vvNMZKw0zSKplHXJMgV5Z+zQyaToUX9FgCAPUk/lu8YuYg2XQvRpmthpaeDv1e9ZjoENdBBqxGwek31zzkil8nRr0E/9GvQj9PBE9VwTEaIrKxowrM6rnXKLHenv0j5m2iKhIeFAwCOXtmJfN39p0JVqoDp32Zi+reZUKoqfLkSCQLQbYipdmTJsupPRtQKNbaM2oIto7ZArVBX+/WJyHqYjBBZ2fmM8wDKrhnJTVfjyonbQ3q7X6rwNYJ9guHt7g2dQYuDSZsrFac1dBlYAJlcRFysDPHxkoVBRDUckxEiK7uUeQlA2SNpzuwOhigK8GuSBjf/is8eKggCHm38KABg9+XVlYrTGty8jGjb1TTnyFKJZ2QlopqLyQiRFRlFI67eugqg7Kngi/qLlHdIb0nCG4VDgIAzqXFIyS27qacwX8Co1j4Y1drngaaDL0m32w/PW/U9oNdb9dRlytPmwXG2IxxnO3I6eKIajskIkRVdz7kOnUEHmUwGd2f3EssYjcC/RclIBYb03svN2Q0NAxsCAHZdWnXf8poCGTQF1v+Rb9tVAxcPA26myrBtW/X2HcnX5SNfd//J4ojo4cZkhMiKLmSYpoH3cPYodYTHtVPeyE1zgMpJi9D21x/oeu2btgcA7Lz4I/RG3QOdq7IUdqa+IwCwWIKOrERU8zEZIbKiMxmmB+SV1Xm16MF4DbpcgUL5YP0sWtRrAWcHZ9zKT8eRa78/0LkeRNGomt+3CEhLkywMIqqhmIwQWdHp9NMAgDpupQ/rTdgZAuDB+osUUcgV6NC0AwBg64XFD3y+ygpppEfdJjrodQJW/cCOrERUMUxGiKzoXMad2VdLkn9LhUtHfQE8WH+Ru3Vo1gGCICAh5TiSss5Y5ZyV0W2wqe/G0mjJQiCiGorJCJEVXcy4CKD0mpGzewIhGmXwaZgOj8D7T1ZWHu7O7mhetzkAYMuFRVY5Z2V0HlAAhZ2I06dkOHlSsjCIqAZiMkJkJaIoIikzCUDpw3rjH2DW1bJ0btEZALD3ws/IKkwvtl+QiWjaToOm7TQQZFXTydTZXUS7JwoBAAsXG6rkGneTCTJ0De6KrsFdIRP4q4yoJuNPMJGVpOalokBXAEEQ4OlcvAOraUhvCADrNdEUqf9IfQT5BEFn0OK3cwuL7VepgVnfZ2DW9xlQVeHM6d2HmTqyrv5BQH4Vj7i1t7PHnnF7sGfcHtjb2VftxYioSjEZIbKSov4i7s7uUCgUxfZfjfNB9g1HqJy0qNfxmlWvLQgCurftDgDYdm5luZ5XUxVadtLA+xE9crJkWL2GHVmJqHyYjBBZydn0swBK77z6z7ZQAEBYt8tQqKzfjNG8XnN4u3sjX5uH7ReXW/385SGTAb1GmKpEvl7AOUeIqHyYjBBZSXy66UlxpXVePb3dlIw07ZNYJdeXCTJz7cgv/36LQv2ddpLCfAHjO3hjfAdvq08Hf68nhpo6sp46LkdsbNVdJ0+bhzpz66DO3DqcDp6ohmMyQmQlRROelVQzknnVCdf+9oYgiGjS81KVxRDeKByeLp7ILsjEr/f0HcnOlCM7s+RZYa3J1cOIDr1NHVm/+KZqO7Km5achLZ+zrBHVdExGiKzkQqZpKviSakZO7zDVioS0S4aTV0GVxSCXy9GvQz8AwOaERcjRZFbZtcrSe6SppmL9jzLcuiVJCERUgzAZIbICURSRlHF7WG8JNSOnt9UFUHVNNHdr3bA1/L38UaDNw09n/lfl1ytJWBsdghrooCkUEL2CHVmJqGxMRoisIC0/DXnaPAgQij2XRpOnwLn9jwAAmva+WOWxyAQZ+nfoDwDYdmYlUnOvVPk17yUIQO+Rpj4rCxYCIvuyElEZmIwQWcH5jPMAADdnN9gp7Cz2ndkTBL1GAc/gLPiGZVRLPE1CmqDBIw2gM+iw7OS71XLNe3V5sgBqByMunJVh925mI0RUOiYjRFYQn2YaSVNSE80/v99uoul9EULVDmQxEwQBQ7oOgUwmw7EruxGXsrt6LnwXBycRXZ409Y+ZM49NNURUOiYjRFZw8qbpYSw+Hj4W240GAfExVTuktzR+nn7o0rILAGDlqQ9Rt6kG9Zppq2w6+JL0f87UVLNjqwznz1v33DJBhnD/cIT7h3M6eKIajj/BRFZQVDPi426ZjFz80x+5Nx3g4FaI+p2sO+tqefR5tA9cHFyQWngeLWdOxZwN6VU6Hfy9HqmnR+vOhRBFAZ/9z7rDfO3t7HH0haM4+sJRTgdPVMMxGSGygrNpptlX760ZOflrfQBAs74XIber/qYKtUqNoRFDAQCb47/FufQT1R7DwHGmYb7freAwXyIqWaWSkQULFiA0NBRqtRpt27bF/v37Sy27ceNG9OzZE3Xq1IGLiws6dOiA7du3VzpgooeNRq/BtVumWo+7a0aMRuDU7WSk5ZNWbqOogJb1W6JNwzYwikZ8dfRlaA2F1Xr9Fh21CGqgQ0G+gEWL2XeEiIqrcDKydu1aTJkyBdOnT8eJEyfQuXNn9O3bF0lJSSWW37dvH3r27ImtW7ciNjYW3bp1w8CBA3HiRPX/hUZUFc5lnINRNEKtVMPF0cW8/fIxX2QlO0HlpEGjiJJ/PqrLwEdHQPjyEq7P2I0Vx6Kq9dqCAPQfa6od+eprQK+3znnzdfkI+SIEIV+EIF9XxY8IJqIqVeFkZN68eZg4cSKef/55NG7cGF988QUCAwOxcGHxx5YDwBdffIG3334b7dq1Q4MGDTB79mw0aNAAv/766wMHT/QwSLiZAMBUKyLcNVymqFakae9LVfJgvIpwUDlCzAwGskKw/cwP+Ovqlmq9fpeBBXDxMCD5qgwbNlinA60oiricdRmXsy5D5EQmRDVahZIRrVaL2NhY9OrVy2J7r169cOjQoXKdw2g0IicnBx4eHqWW0Wg0yM7OtliIHlZFI2m8PbzN20TxTn+RlgOla6IpzddHpiAl93K1XU+pAno/Y6q9+OQzIydBIyILFUpG0tLSYDAY4ONj2UnPx8cHKSkp5TrH559/jry8PAwfPrzUMlFRUXB1dTUvgYGBFQmTqFr9ffNvAJb9Ra6eqoOMJFcoHXRo3OOSRJGVLMgnGAXaPMw5PBYaffU1b/QZlQ+lSsTJWDl27mQ2QkR3VKoDq3DPzE2iKBbbVpI1a9Zg5syZWLt2Lby9vUstN23aNGRlZZmXK1eqfzprovI6k2Z6Wq+vh695W9zmBgCAxt0vQelgpU4SVjK612g4qh1xOf0s/vfXizCK1dOp1M3LiO7DTMnPzI/ZkZWI7qhQMuLl5QW5XF6sFiQ1NbVYbcm91q5di4kTJ2LdunXo0aNHmWVVKhVcXFwsFqKHkd6oR2KGaTKzomG9RiNwfEMjAEDrwWcli600bk5umDhgIuQyOY5e2YlVf39Ubdd+amIu5AoRB/fKcfgwa0eIyKRCyYhSqUTbtm0RExNjsT0mJgYdO3Ys9bg1a9Zg3LhxWL16Nfr371+5SIkeQufSz0Gr10JppzQ/IC/xL39kXnWBykmDJr2rd9bV8qrrXxcje4wEAGyOX4Lfzy+tluvW8Tei6+0p4lk7QkRFKtxMExkZiaVLlyI6OhoJCQmYOnUqkpKSMGnSJACmJpYxY8aYy69ZswZjxozB559/jsceewwpKSlISUlBVlaW9e6CSCJxN+IAmKZeL5qSPHZ9GACg5cALUNpLO4qmiCAAvo3S4dso3fx8nPCwcPR+tDcAYOmxD7H70o/VEsug53MhCCJ2bJXj5MnK144IgoAmdZqgSZ0m5WomJqKHl6KiB4wYMQLp6emYNWsWkpOT0axZM2zduhXBwcEAgOTkZIs5R7799lvo9Xq8/PLLePnll83bx44dixUrVjz4HRBJ6GjyUQCAv5c/AECvlSFus2kUTdthZySL615KBz3ePbyq2PY+7fugQFOAfSf3Yf5fb0ApV6NT4KAqjSWgrgGP9S7E4W32mPmxET+vl1fqPA52Djg9+bSVoyMiKQhiDRign52dDVdXV2RlZbH/CD1UIlZFYO+FvRgWMQyPt3gc/2wLxdJRT8LFJw8z/1kGmfyh//GCUTRi3c51+DP+T8gEGV55bB66Bpc+2s0aEhMUeHNwHQiCiJMngebNWbNBZIvK+/3NZ9MQPYCEVNOEZ0U1I7Hr73RcrQmJCGB6+u3wJ4YjPCzcNGX84SnYcm5xlV4ztLEe7XsWQBQFvDudfUeIajsmI0SVlFGQgdScVACAv6c/8rOU+Of3egCAtk//K2VoxWjzFfikw7P4pMOz0OYXb52VyWQY1XMUOrfsDACIjp2J1f/MrtKZTUe+buo7svVXOY4erfh18nX5aLqgKZouaMrp4IlqOCYjRJV06sYpAICniyfUKjWObwiDrlABv8ZpCGyVKnF0lkQRSDnjiZQznqXOfioTZBjSZQj6tO8DAPjpn2/w2Z8TqmxitMD6enS5PbLm7fcqXjsiiiLib8Yj/mY8p4MnquGYjBBV0uFrhwEAAXUCAAB/ft8UAPDYc6dRUwd3CIKAPu37YMQTIyCXyfHn5e14b3d/pOVdq5LrDX/FNO/Inj/k2LuXCQVRbcVkhKiSDl47CAAI8gnClZN1cPWUN+RKPcKHP1xNNJXRoVkHTB48GY5qR1xKP4M3Yrrj2PUdVr+Ob6DBPCtr5Nt8Zg1RbcVkhKiSTlw/AcCUjPz5fTMAQIsBF+DoUShlWFZTL6AeIp+JxCN1HkFuYTai9o3D0rhp0Bk0Vr3O0y/lQmVvxPEjcqz5kdkIUW3EZISoEm7m3cT1rOsAAB/nUPMomg7P2da8F54unpjy9BR0adUFAPD7vyvx9h89cSHzb6tdw8PHiMEv5AEA3nxbREGB1U5NRDUEkxGiSjhy7QgAwNvdGwm/tkJhjgqewVmo39n2HuqoUCgwpMsQPD/geTiqHZGUeR7v7uiL707NhNZgnVqgJ8fnwsvPgOSrMnz6GYf6EtU2TEaIKmH/1f0AgCCfYOz9thUAoNOEU5A9pD9RggC4B2bDPTC70p1rm9VthneffRetGrSCUTRic/xiTN3eBceTdz5wfCp74Nk3sgEAcz4RcP36/Y8RBAHBrsEIdg3mdPBENRxnYCWqhC7fd8H+i/vROWAi9r+wFEoHHWb+swwObtbtT/GwOnXhFDbs3oDsfFMC0SrgcUxoORsBLvUrfU5RBN57xhNnTyoxdLgBG9ZWbpp4Inp4cAZWoiqiN+oRezUWAHB925MAgEdHxteaRAQAWtRrgXefexcRrSMgk8kQd+0ApmzrhiUn3kFmQeXmWBEEYOL72ZDJRPy0To7tOx76v5OIyEqYjBBVUFxKHPK1+VAp7HHh534AgM7/iZM2KAk4qBwwqPMgvDP6HTQJaQKj0YBtZ77HS789iuUn30dWYXqFz1m/uQ59RpuG+r7wooh8TqxKVCswGSGqoJ2XTH0kHHLaAUYFwrpfgk+DW9IGdR/aAjk+7/4MPu/+DLQF1m3+8HH3wX+e/A9eGvQSgn2CoTNo8VtCNF76rR2Wn3y/whOmjXo9B56+Bly5JMOHM0vvzFqgK0C7Je3Qbkk7FOg4BIeoJmMyQlRBMZdiAABZh/oDALq/fkzKcMpFNAq4csIHV074QDRWTWfPRkGNMGX4FPznyf8g0DsQGn2hKSnZ8hjm/fVCuYcD2zuJeP6DLADAF/8TcOJEyc01RtGIY9eP4dj1YzCKHIFDVJMVf2IWEZXKKBpx5IppWK/xYgRC219H/U5VM1V6TSQIApqENEHj4MaIvxSP3cd34/y18ziYuAUHE7cgzKc1eoeOx2OBA6CUq0s9z6PdNWjfswB/xdjjmdFGnDwuQF16cSKq4VgzQlQBx64fQ05hDqBxAZLboNcbR2rsc2iqkiAIaBraFK8MfQVvPPMG2jZqC5kgw783TuDLP1/D87+0xNK4abiSdbbUc7w4MxuungacTZDhrXdZ80Fky5iMEFXAprObTCvneyGwRTrCul+WNJ6aINA7EM/1fg4fjvsQfdr3gZuTG/I0Ofj935WY8nsE3vzjCWw+swAZBSkWx7l6GjH5Y1NzzTdfyvDHTo6uIbJVTEaIKmDj6d9MK+f7ovfbf7FWpALcnN3Qp30ffDjuQ/znyf+ged3mkAkyJKb9i+9OfIz/bG6L9/cMwPYLK5GtMY3ECe+mQc/hpqninx0j4uZNKe+AiKoK+4wQlVNqXirOpP0DCECQa0s07X1A6pBqJJlMhiYhTdAkpAly8nMQdy4Ox88eR2JyIhJSjiMh5TiWHHsPDeo0x6P+/dDz5f44feQxXL+kwLARBuyKkUPO+dCIbAqTEaJyWrjrV0AQgeTWGDLtfI2rFXH0fPgm7XB2cEbnlp3RuWVnZGRn4PjZ44g7F4erN6/ibOopnE09BeATeE4KgnzfMOz7tw/e/qAjPp/tCADwcvCS9gaIyCo4HTxROYgi4P56b2R57oDP9Vcx7ZN6Uodk0zJzMvHPxX/wT+I/OH/1PAxGw52dehUauoRjVPue6FevH9r4tYFcxqoSoodReb+/mYwQlcPC79Iw+bwfINfjpW6z0ai5g9Qh1RqFmkL8m/QvTl86jZN/X4ZWYTndvLPaGeGPhKNbUDd0C+6GcP9wqBUcB0z0MGAyQmQlt24Bjzy1GHlPvAhnY338d8orUodUa+m1AuZPaIbEmwlQNNkGeYOd0OgtZ1+1k9uhqW9TPB70OLoHdcejAY/C39lfooiJajcmI0RWMm6iESuNTwAhe9H30YHo/Vh3qUOqMG2BHN8OHwQAeHHdJijtDWUf8BArzFbiy35PI/msI+z+0x1eja6ibVhLJKUm4eL1i8gtyC12jKejJ1r6tUR7//bo6N8R4QHh8HXylSB6otqlvN/f7MBKVIZNm0Ws/OUs8MpeCBDQvmlbqUOqFNEo4MLBR8zrNZnaRYsX127GvH79ke19GMmZQNvgN9CjHSCKItKy0pCYnIiL1y/iUvIl3Mi8gfS8dOw6vwu7zu8yn6eOUx00822Glt4tEe4bjhbeLdDIqxGUcqWEd0dUOzEZISpFaiow8XkRaPstAKBpaFO4ObtJGxQBANwCcvHCml/x+R+m10ufHYiX12+Hg6sWddzqoI5bHTza+FEAgEanwbWb13Al9QqupF7B1dSruJFxAzdzb2L3+d3YfX63+bxymRwhHiFo4t0Erbxboa1PWzSu0xihbqGwk9tJcatEtQKTEaIS6PXA0yMNyMgugNBmBUQAHZt3lDosuot3g0zgdjJy7aQPFjw1FC+u2wxnb8shzCo7Fer610Vd/7rmbRqtBtfSruHazWtITk82L4XaQlxIu4ALaRfwa/yv5vJymRwBrgGo51kPYZ5haObVDE28mqChZ0P4OflBqGnjvIkeMkxGiErw9rtG7Nslh7zrQhhUt1DHrQ7CgsKkDotK4eiZj6unvPFFn6cxacMm1KmbVWZ5lbJ4giKKIm7l3kJyejKup11HSnoKktOTkXorFTq9DkmZSUjKTLKoSQEAezt7BLoHItgtGPXc66GReyM0cG+AUPdQhLiFwMGOI6+I7ofJCNE9Vn5vxP8+lwGKAii7f4oCI9AjvAdkMj494WE1+eefEf3MCKRfcsOXfYdj/IotqNfheoXOIQgC3J3d4e7sjiYhTczbjaIR2bnZSL2VitTMVNy8dRM3b91EamYqMrIzUKArwNnUszibehYxiCl2Xg8HDzzi9giC3YJR370+6rvVR4hrCB5xeQSPuDwCd7U7a1ao1mMyQnSXLVtFTJxg+mJo/OqnSDCmw8PFA+GNwiWOjMriVfcWXt+2DotHPIWrp7wx/6kheOq/+9HlPycfeKZcmSCDm7Mb3Jzd0DCwocU+vUGP9Kx0pGWlIT07HelZ6cjIzkBGdgbSs9NRqC1ERn4GMvIzcOr6qRLPr1Ko4O3sDX9nfwS4BCDYJRghriHmhMXf2R91HOpwYjeyaUxGiG7bu0/E0KGAQS+g3aALOOX5KaAH+rbvC7kNPAxF6aCTOgSrUyrujHxx8cnHq1vWY+2UHjj+UyP8PC0Cl474Ydhnu+HorqmS6yvkCvh4+MDHw6fE/fmF+UjPTjcnJxlZGcjMzURWbhZu5d5CbkEuNHoNrmRewZXMK6VeRybI4GbvBk9HT3g7ecPXyRf+Tv4IcArAI06PwM/ZDz6OPvB18oWHvQdrWqjG4TwjRAB+2yJi2DBAUyigVecC2I19CkevxiDENwSvP/06f7nXIKII7Pu2FTZ/0BlGgwyufrl45ss/0LjHZalDK0an1yErL8ucnBQt5tc5t5CTnwMR5f81rZAp4O7gDg9HD3jae8LLwQt1HOrAx8EHvo6+8HH0gZeDl3nxtPeESqGqwruk2oyTnhGVU/QKI/7zggCDXkDrLoVo9+YCLD7+BmQyGaYOn4pA70CpQ6RKuBzrgx8m90LqOQ8AQPjwBAyccRCufnkSR1YxBqMBeQV5yM7PRk5eDnIKcpCdl42c/Bxk52cjNz/X/DpfU7mHITooHeBm72ZKYuw94OngCU+1JzzsPeCl9oKXvSlpcVO7wd3eHe5qd7jbu8PRzpGJOpWJyQjRfWi1wKtTjFi80NQx9fH+Bej3zn58tO8paPSF6N+hP3q26ylxlPQgtPkK/Pbfjti/uBVEUYDKSYuebxxBlxdOQumglzo8q9Pr9cgpyEFOfg5yC3KRV5CHvMI85BXkIbfw9uvb23ILcpFfmA+jaKz09eQyOZxUTnBRu8BF7WJKVtTucFO7mZIatacpcVG5w1XlCheVC5xVznBRuZgXlVzFhMaGMRkhKsOpUyKeG2fEqROmviDDX85BxLh/MX13P2Tmp6FhYENMemqSzYyg0RXKsXxsfwDA+JVbYKeuudPBF9HpdVi+dTkAYHy/8bBTlD4pWdIJb/z0TgQuH/MDADh75+GJV2PRafzfNpmUlJdRNKJQU2hOTu5OXgo0BcjX5CNfk48CTQEKCgvM6/mafBiNlU9i7qaQKeCocoSj0rQ4q5wtEhZXlStcla6mREflDmelM5yUTnBSOsHRznTM3etMbh4unA6eqAQ5OcD/fWLE53MF6HVyOLoY8dqnt+DX9jTe3zMUmflp8PXwxbh+42wmEQEAo0FAfEyoed0WGEUj4i/Fm9fLEtQ6Fa9vW4fY9WH4PeoxZCS5YvMHXfDHF+F47Nl4dBz3NzyDs6sj7IeKTJDBQe0AB7UD6rjVKfdxoihCq9daJChFSUqBpgD5hXe2aXQaFGoLzYtGa3qt0Zk6FeuNemQVZCGroOy5YSpyT/Z29lDbqeGgdICDnYP5/0VJS1Ey42xnSmxcVa5wtnOGo50j7O3sYa+wN//fwc6h2DaObLI+JiNUKxQUAIuXGjFrFpCRZkoy2j1RiBdnZuGs9je888drKNDmw9vdG5OemgQHFSeqsjUyGdBuxL9oM+Qsjv7YGDHz2iH9sit2fhmOXV+1RVj3y2gz9Aya9b0Iexet1OE+1ARBgMpOBZWdqtKPSDCKRmi1WstE5Z7E5e7kpWjR6rTQ6rXQaDXQ6rXQ6rTQ6DTQG/Tm8+Zp85CnzUN6XroV7/oOhUwBlUIFlUIFtZ0aaoX6zv8VaovkxcHOAQ4KB/P/He0c4WjnaContzcfo1KooJKrzP+/d5taoYZKrrLZRIjJCNm0xERgwbdGLF0C3MowJSG+wXo8OzUHDbtcwvJTH+DgpS0AgGDfYDw/4Hk4OzhLGTJVMbmdEY89dxrtRsbj9PZQHIxugTO7g5HwRwgS/giBXKlH2BNJaNLzEhpFJMEr1Dp/sZMlmSCDWqWGWqW2yvkMRgN0Oh00OlOSotFpzInK3f83r+uLb9PpdZaL4c56UbIDmGpz9Fo98rTV3xlaJsigVCihlCthJ7czr6sUKijld9bVCjWUcqU5iSnappabtqvkKvOiVqihlCnvrMuVsJPZmc9XtNjJLbeVVKayyVKlkpEFCxZg7ty5SE5ORtOmTfHFF1+gc+fOpZbfu3cvIiMjcfr0afj7++Ptt9/GpEmTKhUwUVlEETh9GtjyuxFr1oo4GSsHYEpCvAP0eGpiHsJ6x2HrpQX4cssm6AxaCBAQ0ToCAzoOsIn5RKh85AoRLfpfRIv+F3HzghtiNzTCiZ8b4MZZT5zeVhent5mmivcMzkK9jtcQ1OYGglrfgH/TNChUNb/Pja2Ry+SQq+RWS27uZTQaLZKTkhIXrU5bLIm5d9HqtdAb9OalKNEpddHrLYZ2G0UjCnWFKNQVVsl9PigBAhRyBezkdlDIFZBry/c7tcLJyNq1azFlyhQsWLAAnTp1wrfffou+ffsiPj4eQUFBxconJiaiX79+eOGFF7Bq1SocPHgQkydPRp06dTB06NCKXp7ITBSBlBTg5Eng2AkjjhwTcXCfcLsZxpSAyGQiGndKQ+NB+2AI3IWt17diScwl8zlCfEMwNGIoh+/WcnXq3UKfd/5C77f/QkqCJ/7eWhdn9gTh0lE/pF92RfplVxxZY5oiXq7Uw7v+LXjXz4RPgwx4N8iEV2gWXP1y4eKbB7nioR8TQJUgk8mgkpmapqqTKIowGo2WCYxBVyxhKTOhuSfpMRqN0Bv1MBgMMBgNMBgMZb42H2PQm18bjKZ993ZkFiGakjHD7UkWy5kzVXg0Tfv27dGmTRssXLjQvK1x48YYNGgQoqKiipV/55138MsvvyAhIcG8bdKkSTh58iQOHz5crmtyNI3tMxgAjca0FBaa+nhkZgIZGaYlPV3EzXQjkq4Cly8DSVd0uJ6iRZ6mELDLBxzSbi83IXdNhVuD81AFJUDrcB7pBddx98dcLpOjcUhjRLSKQL2AerWi570mT4F3Al8GAHx6ZT5UjjV/BIlGp8E7C98BAHz60qdV8iWhybXDhcMBuHTUF0nHfZB0wgf5mfallhdkRjh758PNPxfOdfLh4F4Ie1cNHNwL4eBm+r/aWQulvR529jrY2euhvL3Y3d6mUBohyMQHnsaeqDoYRSOMhnuSm6KExWBAXnYevm77tXVH02i1WsTGxuLdd9+12N6rVy8cOnSoxGMOHz6MXr16WWzr3bs3li1bBp1OBzu74sPxNBoNNJo70zdnZZnabL2mdIGgvF3lI9yTQ4n3bBMB0eK1UPJxJc5sWPI2sRxl7uuu64v3xlyhc5d8LYutgli8WLmvV3oZsdznKfu8onhXkbuLlnRuwQAoCgHnQqBVIdC69NETBgDpgCkjv52Vu7u4I9gnGA0CG6BxcGNzB1VNTtVME/6w0eTLAZhGixTmFEA01PxmBo1eY/73LcwphFglNRKFqNv+X9Rt/y8A02c286ozUs+7I/W8G25edEPaBTdkXnVG1g1HiAY5slOA7BQHAA/WCVqQGyBXiJApjJDJTYtcIZrWFUYICtGUtNz+4REE01L082NaBwRBNP+/aL/FPpRQhshKjIZcAF/jfvUeFUpG0tLSYDAY4ONj+RwGHx8fpKSklHhMSkpKieX1ej3S0tLg5+dX7JioqCh89NFHxbbrlp+sSLhEZpm3/4tDnNShSOgtAMCMJvcpVgPN+GSG1CFYnWgA9AYAtSNfJhuXk5MDV1fXUvdXqgPrvdXaoiiWWdVdUvmStheZNm0aIiMjza9v3bqF4OBgJCUllXkzti47OxuBgYG4cuVKrW6u4vtgwvfBhO/DHXwvTPg+mDwM74MoisjJyYG/v3+Z5SqUjHh5eUEulxerBUlNTS1W+1HE19e3xPIKhQKenp4lHqNSqaBSFW//dXV1rdUfrCIuLi58H8D3oQjfBxO+D3fwvTDh+2Ai9ftQnkqECk0xqVQq0bZtW8TExFhsj4mJQceOHUs8pkOHDsXK79ixA+Hh4SX2FyEiIqLapcLzXUdGRmLp0qWIjo5GQkICpk6diqSkJPO8IdOmTcOYMWPM5SdNmoTLly8jMjISCQkJiI6OxrJly/Dmm29a7y6IiIioxqpwn5ERI0YgPT0ds2bNQnJyMpo1a4atW7ciODgYAJCcnIykpCRz+dDQUGzduhVTp07F/Pnz4e/vj6+++qpCc4yoVCrMmDGjxKab2oTvgwnfBxO+DyZ8H+7ge2HC98GkJr0PNeKpvURERGS7bOexpERERFQjMRkhIiIiSTEZISIiIkkxGSEiIiJJMRkhIiIiST30yciCBQsQGhoKtVqNtm3bYv/+/VKHVO2ioqLQrl07ODs7w9vbG4MGDcKZM2ekDktSUVFREAQBU6ZMkToUSVy7dg3PPvssPD094eDggFatWiE2NlbqsKqVXq/H+++/j9DQUNjb26Nu3bqYNWtWsUea25p9+/Zh4MCB8Pf3hyAI2LRpk8V+URQxc+ZM+Pv7w97eHhERETh9+rQ0wVahst4HnU6Hd955B82bN4ejoyP8/f0xZswYXL9+XbqAq8j9Pg93e/HFFyEIAr744otqi6+8HupkZO3atZgyZQqmT5+OEydOoHPnzujbt6/FPCa1wd69e/Hyyy/jzz//RExMDPR6PXr16oW8vDypQ5PE0aNHsXjxYrRo0ULqUCSRmZmJTp06wc7ODr///jvi4+Px+eefw83NTerQqtWnn36KRYsW4ZtvvkFCQgLmzJmDuXPn4uuvv5Y6tCqVl5eHli1b4ptvvilx/5w5czBv3jx88803OHr0KHx9fdGzZ0/k5ORUc6RVq6z3IT8/H8ePH8cHH3yA48ePY+PGjTh79iyefPJJCSKtWvf7PBTZtGkT/vrrr/s+I0Yy4kPs0UcfFSdNmmSxLSwsTHz33XcliujhkJqaKgIQ9+7dK3Uo1S4nJ0ds0KCBGBMTI3bt2lV8/fXXpQ6p2r3zzjvi448/LnUYkuvfv784YcIEi21DhgwRn332WYkiqn4AxJ9//tn82mg0ir6+vuInn3xi3lZYWCi6urqKixYtkiDC6nHv+1CSI0eOiADEy5cvV09QEijtfbh69aoYEBAg/vPPP2JwcLD4v//9r9pju5+HtmZEq9UiNjYWvXr1stjeq1cvHDp0SKKoHg5ZWVkAAA8PD4kjqX4vv/wy+vfvjx49ekgdimR++eUXhIeH4+mnn4a3tzdat26NJUuWSB1WtXv88cexc+dOnD17FgBw8uRJHDhwAP369ZM4MukkJiYiJSXF4vemSqVC165d+XszKwuCINS6GkSj0YjnnnsOb731Fpo2bSp1OKWq8HTw1SUtLQ0Gg6HY04B9fHyKPQW4NhFFEZGRkXj88cfRrFkzqcOpVj/++CNiY2Nx7NgxqUOR1MWLF7Fw4UJERkbivffew5EjR/Daa69BpVJZPBfK1r3zzjvIyspCWFgY5HI5DAYD/u///g8jR46UOjTJFP1uLOn35uXLl6UI6aFQWFiId999F6NGjap1T/H99NNPoVAo8Nprr0kdSpke2mSkiCAIFq9FUSy2rTZ55ZVXcOrUKRw4cEDqUKrVlStX8Prrr2PHjh1Qq9VShyMpo9GI8PBwzJ49GwDQunVrnD59GgsXLqxVycjatWuxatUqrF69Gk2bNkVcXBymTJkCf39/jB07VurwJMXfm3fodDo888wzMBqNWLBggdThVKvY2Fh8+eWXOH78+EP/7//QNtN4eXlBLpcXqwVJTU0tlvXXFq+++ip++eUX7N69G4888ojU4VSr2NhYpKamom3btlAoFFAoFNi7dy+++uorKBQKGAwGqUOsNn5+fmjSpInFtsaNG9e6jt1vvfUW3n33XTzzzDNo3rw5nnvuOUydOhVRUVFShyYZX19fAODvzdt0Oh2GDx+OxMRExMTE1Lpakf379yM1NRVBQUHm35uXL1/GG2+8gZCQEKnDs/DQJiNKpRJt27ZFTEyMxfaYmBh07NhRoqikIYoiXnnlFWzcuBG7du1CaGio1CFVu+7du+Pvv/9GXFyceQkPD8fo0aMRFxcHuVwudYjVplOnTsWGdp89e9b85OzaIj8/HzKZ5a8wuVxu80N7yxIaGgpfX1+L35tarRZ79+6tdb83ixKRc+fO4Y8//oCnp6fUIVW75557DqdOnbL4venv74+33noL27dvlzo8Cw91M01kZCSee+45hIeHo0OHDli8eDGSkpIwadIkqUOrVi+//DJWr16NzZs3w9nZ2fxXj6urK+zt7SWOrno4OzsX6yPj6OgIT0/PWtd3ZurUqejYsSNmz56N4cOH48iRI1i8eDEWL14sdWjVauDAgfi///s/BAUFoWnTpjhx4gTmzZuHCRMmSB1alcrNzcX58+fNrxMTExEXFwcPDw8EBQVhypQpmD17Nho0aIAGDRpg9uzZcHBwwKhRoySM2vrKeh/8/f0xbNgwHD9+HL/99hsMBoP596aHhweUSqVUYVvd/T4P9yZhdnZ28PX1RaNGjao71LJJO5jn/ubPny8GBweLSqVSbNOmTa0czgqgxGX58uVShyap2jq0VxRF8ddffxWbNWsmqlQqMSwsTFy8eLHUIVW77Oxs8fXXXxeDgoJEtVot1q1bV5w+fbqo0WikDq1K7d69u8TfB2PHjhVF0TS8d8aMGaKvr6+oUqnELl26iH///be0QVeBst6HxMTEUn9v7t69W+rQrep+n4d7PaxDewVRFMVqynuIiIiIinlo+4wQERFR7cBkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCTFZISIiIgkxWSEiIiIJMVkhIiIiCT1//0ceJg8nLR+AAAAAElFTkSuQmCC",
"text/plain": [
""
]
@@ -7656,7 +9583,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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w9vbG4cOH862blJSEHj16wN3dHXp6ehgxYkSe9bZs2QIPDw8olUp4eHjg119/fZPQiIiIiIiIqIwocsK6ceNGjBgxApMmTUJsbCz8/PzQtm1bJCYm5lk/IyMDtra2mDRpEurXr59nnejoaAQFBaF37944ffo0evfuja5du+LYsWNFDY+ozJDJZLC1tYWtrS1kMpm2wyEiIiIieudkooj7ZTRq1AheXl5YvHixVFarVi107twZYWFhBZ7bvHlzeHp6YsGCBRrlQUFBSEtLw65du6SyNm3awMrKCuvXr8+zrYyMDGRkZEiv09LS4OTkhNTUVJibmxelS0REVI6lpaXBwsKCnx9EREQ6qEgjrJmZmYiJiUFAQIBGeUBAAKKiot44iOjo6FxtBgYGFthmWFgYLCwspIeTk9MbX5+IiIiIiIh0T5ES1gcPHkClUsHe3l6j3N7eHsnJyW8cRHJycpHbnDBhAlJTU6XHrVu33vj6REREREREpHsUb3LSq/fTCSHe+h67orapVCqhVCrf6ppEuiwrKwvLly8HAAwYMAD6+vpajoiIiIiI6N0qUsJqY2MDuVyea+QzJSUl1whpUTg4OBR7m0SlnRAC9+/fl54TEREREZU3RZoSbGBgAG9vb+zdu1ejfO/evfD19X3jIHx8fHK1uWfPnrdqk4iIiIiIiEq3Ik8JHjVqFHr37o2GDRvCx8cHy5YtQ2JiIgYNGgQg597SO3fuYM2aNdI5cXFxAID09HTcv38fcXFxMDAwgIeHBwBg+PDhaNq0KWbPno1OnTrht99+w759+3DkyJFi6CIRERERERGVRkVOWIOCgvDw4UNMnz4dSUlJqFOnDnbu3AlnZ2cAQFJSUq49WRs0aCA9j4mJwbp16+Ds7IyEhAQAgK+vLzZs2IDJkycjJCQE1apVw8aNG9GoUaO36BoRERERERGVZkXeh1VXcR89KmsyMzOlvY0nTJgAAwMDLUdEVDbx84OIiEh3FekeViIiIiIiIqJ35Y22tSGikieTyWBhYSE9JyIiIiIqb5iwEukofX19jBgxQtthEBERERFpDacEExERERERkU5iwkpEREREREQ6iQkrkY7KysrC8uXLsXz5cmRlZWk7HCIiIqLXat68eYnf0iSTybBt27YSvQbpDiasRDpKCIG7d+/i7t27KCO7TxERaVVKSgq++OILVKlSBUqlEg4ODggMDER0dLS2Q6NyIioqCnK5HG3atCnxa7m4uEAmk+X7aN68+WvPX7BgQbHHtWrVKo04HB0d0bVrV9y4caPQbSQlJaFt27ZFuqalpeUbRFt8Xu33y4+UlBSpnhACc+fORY0aNaBUKuHk5IRZs2YV6hoZGRnw9PSETCZDXFycxrG8rrtkyZLi7GKJ4aJLREREVC506dIFWVlZWL16NVxdXXHv3j3s378f//zzj7ZDo3IiPDwcX331FVasWIHExERUqVKlxK514sQJqFQqADmJcpcuXXDp0iVpv2lt7u9ubm6OS5cuQQiBixcv4osvvsCHH36IuLg4yOXy157v4ODwDqIsXkFBQbm+qAgODsbz589hZ2cnlQ0fPhx79uzB3LlzUbduXaSmpuLBgweFusbXX3+NihUr4vTp03kej4iI0IjhxW4Uuo4jrERERFTmPX78GEeOHMHs2bPRokULODs74/3338eECRPQvn37fEc/QkNDpTbCw8NRu3ZtKJVKODo6YujQoQDyHzl5+dyIiAjUqlULhoaGqFmzJhYtWiQdy8zMxNChQ+Ho6AhDQ0O4uLggLCxMOi6TybBixQp89NFHMDY2RvXq1bF9+3YAOaMxbm5umDt3rkZ/z507Bz09PVy7dq0Efpr0Jp48eYJNmzZh8ODB6NChA1atWiUd8/Hxwfjx4zXq379/H/r6+jh48CCAnFHF9u3bw8jICFWrVsW6desKHAW1tbWFg4MDHBwcUKFCBQCAnZ2dVHbw4EHp99nFxQXz5s2Tzm3evDlu3ryJkSNHSr/PAPDw4UN0794dlStXhrGxMerWrYv169cX+Wchk8ng4OAAR0dHtGjRAlOnTsW5c+dw9epVAMDixYtRrVo1GBgYwN3dHT///HOu819MCU5ISIBMJsPWrVvRokULGBsbo379+tLMicjISHz22WdITU3N9d5ctGgRqlevDkNDQ9jb2+OTTz4pcl8Ky8jISPrZOzg4QC6X48CBA+jfv79UJz4+HosXL8Zvv/2GDz/8EFWrVoWnpyf8/f1f2/6uXbukRDc/lpaWGjEYGRkVS99KGhNWIiIiKvNMTU1hamqKbdu2ISMjI9fxoKAgJCUlSY/169dDoVCgSZMmAHL+gB4yZAgGDhyIs2fPYvv27XBzcyvUucuXL8ekSZMwc+ZMxMfHY9asWQgJCcHq1asBAAsXLsT27duxadMmXLp0Cf/973/h4uKiEd+0adPQtWtXnDlzBu3atUPPnj3xzz//QCaToV+/foiIiNCoHx4eDj8/P1SrVq24f5T0hjZu3Ah3d3e4u7ujV69eiIiIkG756dmzJ9avX69xC9DGjRthb2+PZs2aAQD69OmDu3fvIjIyElu2bMGyZcs0ppIWRUxMDLp27Ypu3brh7NmzCA0NRUhIiJREb926FZUrV8b06dOl32sAeP78Oby9vbFjxw6cO3cOAwcORO/evXHs2LG3+MlASpyysrLw66+/Yvjw4Rg9ejTOnTuHL774Ap999pmUuOdn0qRJGDNmDOLi4lCjRg10794d2dnZ8PX1xYIFC2Bubi71ZcyYMTh58iSGDRuG6dOn49KlS9i9ezeaNm2ab/uJiYnS/yP5PQYNGlToPq9ZswbGxsYaSfLvv/8OV1dX7NixA1WrVoWLiws+//zz184CuXfvHgYMGICff/4ZxsbG+dYbOnQobGxs8N5772HJkiVQq9WFjlerRBmRmpoqAIjU1FRth0JULDIyMkRoaKgIDQ0VGRkZ2g6HqMzi50f5sXnzZmFlZSUMDQ2Fr6+vmDBhgjh9+nSuelevXhXW1tZizpw5UlnFihXFpEmTXnuNvM51cnIS69at06g3Y8YM4ePjI4QQ4quvvhItW7YUarU6zzYBiMmTJ0uv09PThUwmE7t27RJCCHH37l0hl8vFsWPHhBBCZGZmCltbW7Fq1arXxkvvjq+vr1iwYIEQQoisrCxhY2Mj9u7dK4QQIiUlRSgUCvHXX39J9X18fMTYsWOFEELEx8cLAOLEiRPS8StXrggAYv78+a+99sGDBwUA8ejRIyGEED169BCtW7fWqDN27Fjh4eEhvXZ2di5U2+3atROjR4+WXjdr1kwMHz483/oRERHCwsJCen3r1i3RuHFjUblyZZGRkSF8fX3FgAEDNM759NNPRbt27aTXAMSvv/4qhBDixo0bAoBYsWKFdPz8+fMCgIiPj8/zmkIIsWXLFmFubi7S0tJe20chcv7Nrly5UuDj3r17hWpLCCE8PDzE4MGDNcq++OILoVQqRaNGjcRff/0lDh48KDw9PUWLFi3ybUetVos2bdqIGTNmCCH+/+cRGxurUW/GjBkiKipKxMbGirlz5wpjY2PpHF3HEVYiIiIqF7p06YK7d+9i+/btCAwMRGRkJLy8vDSmZqampqJDhw5o27Ytxo4dCyBnsaa7d++iVatWBbaf17n379/HrVu30L9/f42RmG+++UaarhscHIy4uDi4u7tj2LBh2LNnT66269WrJz03MTGBmZmZNLrm6OiI9u3bIzw8HACwY8cOPH/+HJ9++umb/7CoWF26dAnHjx9Ht27dAAAKhQJBQUHSv5mtrS1at26NtWvXAgBu3LiB6Oho9OzZUzpfoVDAy8tLatPNzQ1WVlZvFE98fLw0A+CFJk2a4MqVK9J9r3lRqVSYOXMm6tWrB2tra5iammLPnj1ITEws0vVTU1NhamoKExMTODk5ITMzE1u3boWBgUG+scXHxxfY5svvEUdHRwAocAS6devWcHZ2hqurK3r37o21a9fi6dOn+dZXKBRwc3Mr8PHyvagFiY6OxoULFzSmAwOAWq1GRkYG1qxZAz8/PzRv3hwrV67EwYMHcenSpTzb+uGHH5CWloYJEyYUeM3JkyfDx8cHnp6eGD16NKZPn45vv/22UPFqGxNWIh1mbGxc4NQOIiIqGkNDQ7Ru3RpTpkxBVFQUgoODMXXqVAA5f4wHBQXB3Nwcy5cvl84pzH1e+Z37Ysrd8uXLERcXJz3OnTuHv//+GwDg5eWFGzduYMaMGXj27Bm6du2a6146fX19jdcymUxjOt/nn3+ODRs24NmzZ4iIiEBQUBA/P3TIypUrkZ2djUqVKkGhUEChUGDx4sXYunUrHj16BCBnWvDmzZuRlZWFdevWoXbt2qhfvz4A5LtbQH7lryOEkO5LLUpb8+bNw/z58/H111/jwIEDiIuLQ2BgIDIzM4t0fTMzM8TFxeHs2bNIT09HTEwM3nvvPel4XrG9Wvaql98jL+oWNOXVzMwMp06dwvr16+Ho6IgpU6agfv36ePz4cZ71i3NK8IoVK+Dp6Qlvb2+NckdHRygUCtSoUUMqq1WrlnT9vBw4cAB///03lEqllFQDQMOGDdG3b998Y2jcuDHS0tJw7969QsWsTVwlmEhHGRgYSN/QExFRyfDw8JAWbxk5ciTOnj2LEydOwNDQUKpjZmYGFxcX7N+/Hy1atMiznfzOtbe3R6VKlXD9+nVptCwv5ubmCAoKQlBQED755BO0adMG//zzj7RYzuu0a9cOJiYmWLx4MXbt2oW//vqrUOdRycvOzsaaNWswb948BAQEaBzr0qUL1q5di6FDh6Jz58744osvsHv3bqxbtw69e/eW6tWsWRPZ2dmIjY2VkpyrV6/mm1y9joeHB44cOaJRFhUVhRo1akir9BoYGOQabT18+DA6deqEXr16AchJCK9cuSIlVYWlp6cnJVavqlWrFo4cOYI+ffpoxFbUa7wsr74AOaOm/v7+8Pf3x9SpU2FpaYkDBw7g448/zlW3YsWKubaKedWLFZgLkp6ejk2bNmksrPZCkyZNkJ2djWvXrkn3n1++fBkA4OzsnGd7CxcuxDfffCO9vnv3LgIDA7Fx40Y0atQo3zhiY2NhaGio9e1+CoMJKxEREZV5Dx8+xKeffop+/fqhXr16MDMzw8mTJzFnzhx06tQJERERWLRoEX799Vfo6ekhOTkZwP8v1hQaGopBgwbBzs4Obdu2xb///oujR4/iq6++KtS5w4YNg7m5Odq2bYuMjAycPHkSjx49wqhRozB//nw4OjrC09MTenp6+OWXX+Dg4FCkPyTlcjmCg4MxYcIEuLm5wcfHpyR+jPQGduzYgUePHqF///65thH55JNPsHLlSgwdOhQmJibo1KkTQkJCEB8fjx49ekj1atasCX9/fwwcOBCLFy+Gvr4+Ro8eDSMjo9eOPOZl9OjReO+99zBjxgwEBQUhOjoaP/74o8bq1S4uLvjrr7/QrVs3KJVK2NjYwM3NDVu2bEFUVBSsrKzw3XffITk5+a2SyVeNHTsWXbt2hZeXF1q1aoXff/8dW7duxb59+964TRcXF6Snp2P//v2oX78+jI2NceDAAVy/fh1NmzaFlZUVdu7cCbVaDXd39zzbeHn08m1s3LgR2dnZeX6B5e/vDy8vL/Tr1w8LFiyAWq3GkCFD0Lp1a2nU9fjx4+jTpw/279+PSpUq5doaydTUFABQrVo1VK5cGUDOYk7Jycnw8fGBkZERDh48iEmTJmHgwIFQKpVv3acSp9U7aIsRF80gIqI3wc+P8uH58+di/PjxwsvLS1hYWAhjY2Ph7u4uJk+eLJ4+fSr69u0rAOR6TJ06VWpjyZIlwt3dXejr6wtHR0fx1VdfCSFEoc5du3at8PT0FAYGBsLKyko0bdpUbN26VQghxLJly4Snp6cwMTER5ubmolWrVuLUqVPSuXhpgZkXLCwsREREhEbZtWvXBACNBZ9I+zp06KCxYNDLYmJiBAARExMjhBDijz/+EABE06ZNc9W9e/euaNu2rVAqlcLZ2VmsW7dO2NnZiSVLlrw2hlcXXRIiZxEyDw8Poa+vL6pUqSK+/fZbjXOio6NFvXr1hFKpFC9ShocPH4pOnToJU1NTYWdnJyZPniz69OkjOnXqJJ1X1EWX8rJo0SLh6uoq9PX1RY0aNcSaNWs0jiOPRZdeXmTo0aNHAoA4ePCgVDZo0CBhbW0tvTcPHz4smjVrJqysrISRkZGoV6+e2LhxY4FxFQcfHx/Ro0ePfI/fuXNHfPzxx8LU1FTY29uL4OBg8fDhQ+n4i3/LGzdu5Hl+Xj+PXbt2CU9PT2FqaiqMjY1FnTp1xIIFC0RWVlZxdatEyYR4w8nvOiYtLQ0WFhZITU0t1HA8ka7LysqSFl/o2bNnrvuXiKh48PODyoqjR4+iefPmuH37Nuzt7bUdDpWw27dvw8nJCfv27XvtgmBEpRmnBBPpKCEEbt68KT0nIiLKS0ZGBm7duoWQkBB07dqVyWoZdeDAAaSnp6Nu3bpISkrC119/DRcXlwL3DiUqC7hKMBEREVEptn79eri7uyM1NRVz5szRdjhUQrKysjBx4kTUrl0bH330EWxtbREZGckZWFTmcYSViIiIqBQLDg5GcHCwtsOgEhYYGIjAwEBth0H0znGElYiIiIiIiHQSE1YiIiIiIiLSSUxYiYiIiEqYTCbDtm3b3rqd5s2bY8SIEW/dDlFxSUhIgEwmQ1xcXIldY9WqVUXal5jKFiasRDpMX1+fiykQERWD4OBgyGQyyGQy6Ovrw97eHq1bt0Z4eDjUanWJXz8pKQlt27Yt8euQbouKioJcLkebNm3eyfVCQ0Mhk8nyvN6cOXMgk8nQvHnzEo+jefPm0vtPqVSiRo0amDVrFlQqVaHODwoKwuXLl4t8TW1/uXP+/Hl06dIFLi4ukMlkWLBgwWvPefEFwKuP3bt3S3UiIyPzrHPx4sUS7I32cNElIh1lYGCAiRMnajsMIqIyo02bNoiIiIBKpcK9e/ewe/duDB8+HJs3b8b27duhUJTcn0UODg4FHs/KyuIXlOVAeHg4vvrqK6xYsQKJiYmoUqVKiV/T0dERBw8exO3bt1G5cmWpPCIi4p1c/4UBAwZg+vTpeP78OXbs2IFhw4ZBLpdj3Lhxrz3XyMgIRkZG7yDK4vX06VO4urri008/xciRI4t07r59+1C7dm3pdYUKFXLVuXTpksb+4ba2tm8erA7jCCsRERGVC0qlEg4ODqhUqRK8vLwwceJE/Pbbb9i1axdWrVoFAEhNTcXAgQNhZ2cHc3NztGzZEqdPn5baCA0NhaenJ8LDw1GlShWYmppi8ODBUKlUmDNnDhwcHGBnZ4eZM2dqXPvlKcEvRlA2bdqE5s2bw9DQEP/973/x8OFDdO/eHZUrV4axsTHq1q2L9evXv6sfD5WwJ0+eYNOmTRg8eDA6dOgg/c4BgI+PD8aPH69R//79+9DX18fBgwcB5IzSt2/fHkZGRqhatSrWrVsHFxeX147a2dnZISAgAKtXr5bKoqKi8ODBA7Rv316jrlqtxvTp01G5cmUolUp4enpqjOwBwPHjx9GgQQMYGhqiYcOGiI2NLVT/jY2N4eDgABcXFwwdOhStWrWS3hOPHj1Cnz59YGVlBWNjY7Rt2xZXrlyRzn11SvCL9+HPP/8MFxcXWFhYoFu3bvj3338B5MyoOHToEL7//ntp9DEhIQGPHj1Cz549YWtrCyMjI1SvXh0RERGFiv9NvPfee/j222/RrVs3KJXKIp1rbW0NBwcH6WFgYJCrjp2dnUYduVxeXKHrFCasREREVG61bNkS9evXx9atWyGEQPv27ZGcnIydO3ciJiYGXl5eaNWqFf755x/pnGvXrmHXrl3YvXs31q9fj/DwcLRv3x63b9/GoUOHMHv2bEyePBl///13gdceN24chg0bhvj4eAQGBuL58+fw9vbGjh07cO7cOQwcOBC9e/fGsWPHSvrHQO/Axo0b4e7uDnd3d/Tq1QsREREQQgAAevbsifXr10uvX9S3t7dHs2bNAAB9+vTB3bt3ERkZiS1btmDZsmVISUkp1LX79eunkSCHh4ejZ8+euZKg77//HvPmzcPcuXNx5swZBAYG4sMPP5SSxydPnqBDhw5wd3dHTEwMQkNDMWbMmDf6eRgZGSErKwtAToJ58uRJbN++HdHR0RBCoF27dtLxvFy7dg3btm3Djh07sGPHDhw6dAj/+c9/pH74+PhgwIABSEpKQlJSEpycnBASEoILFy5g165diI+Px+LFi2FjY5PvNWbNmgVTU9MCH4cPH36j/r/Ohx9+CDs7OzRp0gSbN2/Os06DBg3g6OiIVq1aSV9slEmijEhNTRUARGpqqrZDISoWWVlZYu3atWLt2rUiKytL2+EQlVn8/Cgf+vbtKzp16pTnsaCgIFGrVi2xf/9+YW5uLp4/f65xvFq1amLp0qVCCCGmTp0qjI2NRVpamnQ8MDBQuLi4CJVKJZW5u7uLsLAw6TUA8euvvwohhLhx44YAIBYsWPDauNu1aydGjx4tvW7WrJkYPnz4a88j3ePr6yv9m2dlZQkbGxuxd+9eIYQQKSkpQqFQiL/++kuq7+PjI8aOHSuEECI+Pl4AECdOnJCOX7lyRQAQ8+fPz/eaU6dOFfXr1xeZmZnCzs5OHDp0SKSnpwszMzNx+vRpMXz4cNGsWTOpfsWKFcXMmTM12njvvffEl19+KYQQYunSpaJChQriyZMn0vHFixcLACI2NjbfOF7+vVWpVGLXrl3CwMBAfP311+Ly5csCgDh69KhU/8GDB8LIyEhs2rRJCCFERESEsLCw0OjXq+/DsWPHikaNGuV5zRc6duwoPvvss3zjfNXDhw/FlStXCnw8ffq0UG05OzsX+G/1wv3798V3330njh07Jk6cOCFCQkKEnp6e+Pnnn6U6Fy9eFMuWLRMxMTEiKipKDB48WMhkMnHo0KFC96004T2sRDpKrVZL32i+iwVBiIjKKyEEZDIZYmJikJ6eDmtra43jz549w7Vr16TXLi4uMDMzk17b29tDLpdDT09Po+x1o18NGzbUeK1SqfCf//wHGzduxJ07d5CRkYGMjAyYmJi8TfdIB1y6dAnHjx/H1q1bAQAKhQJBQUEIDw+Hv78/bG1t0bp1a6xduxZ+fn64ceMGoqOjsXjxYul8hUIBLy8vqU03NzdYWVkV6vr6+vrSqO7169dRo0YN1KtXT6NOWloa7t69iyZNmmiUN2nSRJoWHx8fj/r168PY2Fg67uPjU6gYFi1ahBUrViAzMxMA0Lt3b0ydOhX79u2DQqFAo0aNpLrW1tZwd3dHfHx8vu29+j50dHR87Xtu8ODB6NKlC06dOoWAgAB07twZvr6++davUKFCnveOliQbGxuN+10bNmyIR48eYc6cOejVqxcASCP1L/j4+ODWrVuYO3cumjZt+k7jfReYsBIREVG5Fh8fj6pVq0KtVsPR0RGRkZG56rx8/9yriyO9WHn41bLXfdn4aiI6b948zJ8/HwsWLEDdunVhYmKCESNGSH/gU+m1cuVKZGdno1KlSlKZEAL6+vp49OgRrKys0LNnTwwfPhw//PAD1q1bh9q1a6N+/fpS3bzkV56Xfv36oVGjRjh37hz69euXbz2ZTJbrGi/KinK9V/Xs2ROTJk2CUqlExYoVpfstC+rbq7G87E3ec23btsXNmzfxxx9/YN++fWjVqhWGDBmCuXPn5ll/1qxZmDVrVoFt7tq1C35+fgXWeVuNGzfGihUrXlvnv//9b4nGoS1MWImIiKjcOnDgAM6ePYuRI0eicuXKSE5OhkKhgIuLyzuP5fDhw+jUqZM0ivJipk2tWrXeeSxUfLKzs7FmzRrMmzcPAQEBGse6dOmCtWvXYujQoejcuTO++OIL7N69G+vWrUPv3r2lejVr1kR2djZiY2Ph7e0NALh69SoeP35c6Dhq166N2rVr48yZM+jRo0eu4+bm5qhYsSKOHDmiMUoXFRWF999/HwDg4eGBn3/+Gc+ePZNW7X3dvdovWFhYwM3NLVe5h4cHsrOzcezYMWm08+HDh7h8+fJb/e4bGBjkuW2Ora0tgoODERwcDD8/P4wdOzbfhHXQoEHo2rVrgdd5+UuIkhIbGwtHR8e3rlNaMWElIiKiciEjIwPJycka29qEhYWhQ4cO6NOnD/T09ODj44POnTtj9uzZcHd3x927d7Fz50507tw51xTe4ubm5oYtW7YgKioKVlZW+O6775CcnMyEtZTbsWMHHj16hP79+8PCwkLj2CeffIKVK1di6NChMDExQadOnRASEoL4+HiNpLJmzZrw9/fHwIEDsXjxYujr62P06NEwMjIqcBTyVQcOHEBWVpbGjIGXjR07FlOnTkW1atXg6emJiIgIxMXFYe3atQCAHj16YNKkSejfvz8mT56MhISEfJO9wqpevTo6deqEAQMGYOnSpTAzM8P48eNRqVIldOrU6Y3bdXFxwbFjx5CQkABTU1NUqFABoaGh8Pb2Ru3atZGRkYEdO3YU+P562ynBmZmZuHDhgvT8zp07iIuLg6mpqZS8//jjj/j111+xf/9+AMDq1auhr6+PBg0aQE9PD7///jsWLlyI2bNnS+0uWLAALi4uqF27NjIzM/Hf//4XW7ZswZYtW944Vl3GhJWIiIjKhd27d8PR0REKhQJWVlaoX78+Fi5ciL59+0r3n+7cuROTJk1Cv379cP/+fTg4OKBp06awt7cv8fhCQkJw48YNBAYGwtjYGAMHDkTnzp2Rmppa4temkrNy5Ur4+/vnSlaBnBHWWbNm4dSpU/Dy8kLPnj3Rvn17NG3aNNceqWvWrEH//v3RtGlTODg4ICwsDOfPn4ehoWGhY3nd/dDDhg1DWloaRo8ejZSUFHh4eGD79u2oXr06AMDU1BS///47Bg0ahAYNGsDDwwOzZ89Gly5dCh1DXiIiIjB8+HB06NABmZmZaNq0KXbu3PlWexOPGTMGffv2hYeHB549e4YbN27AwMAAEyZMQEJCAoyMjODn54cNGza8VewFuXv3Lho0aCC9njt3LubOnYtmzZpJtx48ePBA4x55APjmm29w8+ZNyOVy1KhRA+Hh4dLMCyAn+R0zZgzu3LkDIyMj1K5dG3/88QfatWtXYn3RJpl4m8noOiQtLQ0WFhZITU3V2ECXqLTKzMxEWFgYAGDChAl57r9FRG+Pnx9EVBrdvn0bTk5O0r2YRGUVR1iJiIiIiHTcgQMHkJ6ejrp16yIpKQlff/01XFxcyuSqsEQvY8JKpKMMDAwwdepUbYdBREREOiArKwsTJ07E9evXYWZmBl9fX6xdu/atps0SlQacEkxEROUaPz+IiIh0l97rqxARERERERG9e0xYiXRUdnY2fvnlF/zyyy/Izs7WdjhERGVacHAwOnfurO0wiLTCxcUFCxYs0HYYhSKTybBt2zZth0HvEBNWIh2lVqtx4cIFXLhwAWq1WtvhEBGVanklpJs3b4ahoSHmzJmD77//HqtWrdJKbFR+REVFQS6Xo02bNu/smmlpaZg0aRJq1qwJQ0NDODg4wN/fH1u3boWu3RmYkpKCL774AlWqVIFSqYSDgwMCAwMRHR39TuOIjIyETCbD48eP3+l1X/Xo0SP07t0bFhYWsLCwQO/evV8bU2hoKGrWrAkTExNYWVnB398fx44dy7OuEAJt27bV+S8BuOgSERERlTsrVqzAkCFD8NNPP+Hzzz/XdjhUToSHh+Orr77CihUrkJiYmGuv1eL2+PFjfPDBB0hNTcU333yD9957DwqFAocOHcLXX3+Nli1bwtLSskRjKIouXbogKysLq1evhqurK+7du4f9+/fjn3/+0XZoWtGjRw/cvn0bu3fvBgAMHDgQvXv3xu+//57vOTVq1MCPP/4IV1dXPHv2DPPnz0dAQACuXr0KW1tbjboLFiyATCYr0T4UC1FGpKamCgAiNTVV26EQFYuMjAwRGhoqQkNDRUZGhrbDISqz+PlRPvTt21d06tRJCCHE7NmzhVKpFJs3b87zuBBCNGvWTAwdOlQMHz5cWFpaCjs7O7F06VKRnp4ugoODhampqXB1dRU7d+58xz2h0io9PV2YmZmJixcviqCgIDFt2jTpWOPGjcW4ceM06qekpAiFQiEOHDgghBDi7t27ol27dsLQ0FC4uLiItWvXCmdnZzF//vx8rzl48GBhYmIi7ty5k+vYv//+K7KysoQQIlc7jx8/FgMGDBC2trbCzMxMtGjRQsTFxUnHr169Kj788ENhZ2cnTExMRMOGDcXevXs12nd2dhYzZ84Un332mTA1NRVOTk5i6dKl+cb66NEjAUBERkbmW0cIIQCI5cuXi86dOwsjIyPh5uYmfvvtN40658+fF23bthUmJibCzs5O9OrVS9y/f186rlarxezZs0XVqlWFoaGhqFevnvjll1+EEELcuHFDANB49O3bVwghxC+//CLq1KkjDA0NRYUKFUSrVq1Eenp6gfG+qQsXLggA4u+//5bKoqOjBQBx8eLFQrfz4jNu3759GuVxcXGicuXKIikpSQAQv/76a3GFXuw4JZiIiIjKjfHjx2PGjBnYsWMHunTpUmDd1atXw8bGBsePH8dXX32FwYMH49NPP4Wvry9OnTqFwMBA9O7dG0+fPn1H0VNptnHjRri7u8Pd3R29evVCRESENCW3Z8+eWL9+vcYU3Y0bN8Le3h7NmjUDAPTp0wd3795FZGQktmzZgmXLliElJSXf66nVamzYsAE9e/ZExYoVcx03NTWFQpF7sqUQAu3bt0dycjJ27tyJmJgYeHl5oVWrVtJIZ3p6Otq1a4d9+/YhNjYWgYGB6NixIxITEzXamjdvHho2bIjY2Fh8+eWXGDx4MC5evJhnvKampjA1NcW2bduQkZFR4M9y2rRp6Nq1K86cOYN27dqhZ8+eUmxJSUlo1qwZPD09cfLkSezevRv37t1D165dpfMnT56MiIgILF68GOfPn8fIkSPRq1cvHDp0CE5OTtiyZQsA4NKlS0hKSsL333+PpKQkdO/eHf369UN8fDwiIyPx8ccfFzit+kWf8nu0bds233Ojo6NhYWGBRo0aSWWNGzeGhYUFoqKiCvz5vJCZmYlly5bBwsIC9evXl8qfPn2K7t2748cff4SDg0Oh2tIq7ebLxYffkFNZwxFWoneDnx/lQ9++fYWBgYEAIPbv35/n8VdHWD/44APpdXZ2tjAxMRG9e/eWyl6MTERHR5do7FQ2+Pr6igULFgghhMjKyhI2NjbSqOSL0dS//vpLqu/j4yPGjh0rhBAiPj5eABAnTpyQjl+5ckUAyHeE9d69ewKA+O67714b28sjrPv37xfm5ubi+fPnGnWqVatW4Aiph4eH+OGHHzTa7NWrl/RarVYLOzs7sXjx4nzb2Lx5s7CyshKGhobC19dXTJgwQZw+fVqjDgAxefJk6XV6erqQyWRi165dQgghQkJCREBAgMY5t27dEgDEpUuXRHp6ujA0NBRRUVEadfr37y+6d+8uhBDi4MGDAoB49OiRdDwmJkYAEAkJCfnG/6orV64U+Lh9+3a+586cOVNUr149V3n16tXFrFmzCrzu77//LkxMTIRMJhMVK1YUx48f1zg+cOBA0b9/f+k1dHyElfewEhERUblQr149PHjwAFOmTMF7770HMzOz19Z/QS6Xw9raGnXr1pXK7O3tAaDAUS4iIGek7vjx49i6dSsAQKFQICgoCOHh4fD394etrS1at26NtWvXws/PDzdu3EB0dDQWL14sna9QKODl5SW16ebmBisrq3yvKf438lfUexRjYmKQnp4Oa2trjfJnz57h2rVrAIAnT55g2rRp2LFjB+7evYvs7Gw8e/Ys1wjry+8hmUwGBweHAt8vXbp0Qfv27XH48GFER0dj9+7dmDNnDlasWIHg4OA82zUxMYGZmZnUbkxMDA4ePAhTU9Nc7V+7dg2pqal4/vw5WrdurXEsMzMTDRo0yDe2+vXro1WrVqhbty4CAwMREBCATz75pMB/Azc3t3yPFUZe/3ZCiNf+m7Zo0QJxcXF48OABli9fjq5du+LYsWOws7PD9u3bceDAAcTGxr5VbO8SE1YiIiIqFypVqoQtW7agRYsWaNOmDXbv3l1g0qqvr6/xWiaTaZS9+KORK7nT66xcuRLZ2dmoVKmSVCaEgL6+Ph49egQrKyv07NkTw4cPxw8//IB169ahdu3a0jROkc+00/zKAcDW1hZWVlaIj48vUqxqtRqOjo6IjIzMdezFAk1jx47Fn3/+iblz58LNzQ1GRkb45JNPkJmZqVE/r/fQ694vhoaGaN26NVq3bo0pU6bg888/x9SpUzUS1oLaVavV6NixI2bPnp2rbUdHR5w7dw4A8Mcff2j8ewCAUqnMNy65XI69e/ciKioKe/bswQ8//IBJkybh2LFjqFq1ap7n5JU0v8zPzw+7du3K85iDgwPu3buXq/z+/fvSl2X5MTExgZubG9zc3NC4cWNUr14dK1euxIQJE3DgwAFcu3Yt12JbXbp0gZ+fX57/7trGhJVIR+nr62PChAnScyIientVqlTBoUOH0KJFCwQEBODPP/+Eubm5tsOiMiw7Oxtr1qzBvHnzEBAQoHGsS5cuWLt2LYYOHYrOnTvjiy++wO7du7Fu3Tr07t1bqlezZk1kZ2cjNjYW3t7eAICrV68WuMWJnp4egoKC8PPPP2Pq1Km57mN98uQJlEplrvtYvby8kJycDIVCARcXlzzbPnz4MIKDg/HRRx8ByLmnNSEhoZA/kaLx8PAo0pYrXl5e2LJlC1xcXPK8R9fDwwNKpRKJiYnS/cGvMjAwAACoVCqNcplMhiZNmqBJkyaYMmUKnJ2d8euvv2LUqFF5thMXF1dgrEZGRvke8/HxQWpqKo4fP473338fAHDs2DGkpqbC19e3wHZfJYSQ7gseP358rpXR69ati/nz56Njx45FavddYcJKpKNkMpn0HyYRERWfypUrIzIyUiNpJSopO3bswKNHj9C/f39YWFhoHPvkk0+wcuVKDB06FCYmJujUqRNCQkIQHx+PHj16SPVq1qwJf39/DBw4EIsXL4a+vj5Gjx4NIyOjAqeHzpo1C5GRkWjUqBFmzpyJhg0bQl9fH4cPH0ZYWBhOnDiRa6TN398fPj4+6Ny5M2bPng13d3fcvXsXO3fuROfOndGwYUO4ublh69at6NixI2QyGUJCQt56psHDhw/x6aefol+/fqhXrx7MzMxw8uRJzJkzB506dSp0O0OGDMHy5cvRvXt3jB07FjY2Nrh69So2bNiA5cuXw8zMDGPGjMHIkSOhVqvxwQcfIC0tDVFRUTA1NUXfvn3h7OwMmUyGHTt2oF27djAyMsL58+exf/9+BAQEwM7ODseOHcP9+/dRq1atfGN5mynBtWrVQps2bTBgwAAsXboUQM62Nh06dIC7u7tUr2bNmggLC8NHH32EJ0+eYObMmfjwww/h6OiIhw8fYtGiRbh9+zY+/fRTADkjt3kttFSlSpV8R4q1jasEExERUblTqVIlHDp0CI8fP0br1q0LHKkiehsrV66Ev79/rmQVyBlhjYuLw6lTpwDkrBZ8+vRp+Pn55dqjdc2aNbC3t0fTpk3x0UcfYcCAATAzM4OhoWG+17ayssLff/+NXr164ZtvvkGDBg3g5+eH9evX49tvv80zJplMhp07d6Jp06bo168fatSogW7duiEhIUGaijp//nxYWVnB19cXHTt2RGBgoMb9tW/C1NQUjRo1wvz589G0aVPUqVMHISEhGDBgAH788cdCt1OxYkUcPXoUKpUKgYGBqFOnDoYPHw4LCwvo6eWkPjNmzMCUKVMQFhaGWrVqITAwEL///ruUsFWqVAnTpk3D+PHjYW9vj6FDh8Lc3Bx//fUX2rVrhxo1amDy5MmYN29egSv9vq21a9eibt26CAgIQEBAAOrVq4eff/5Zo86lS5eQmpoKIGfa8sWLF9GlSxfUqFEDHTp0wP3793H48GHUrl27xOIsaTJR0OT3UiQtLQ0WFhZITU3l1B4qE7Kzs7Fjxw4AQIcOHfKc1kJEb4+fH0RUGt2+fRtOTk7Yt28fWrVqpe1wiErMG42wLlq0CFWrVoWhoSG8vb1x+PDhAusfOnQI3t7eMDQ0hKurK5YsWZKrzoIFC+Du7g4jIyM4OTlh5MiReP78+ZuER1QmqNVqnD59GqdPn+aCHkREROXcgQMHsH37dty4cQNRUVHo1q0bXFxc0LRpU22HRlSiipywbty4ESNGjMCkSZMQGxsLPz8/tG3bNtcy1i/cuHED7dq1g5+fH2JjYzFx4kQMGzZM2pAXyBnuHj9+PKZOnYr4+HisXLkSGzdulBacISIiIiIqz7KysjBx4kTUrl0bH330EWxtbREZGcmFGanMK/KU4EaNGsHLy0vaFwrIuSm4c+fOCAsLy1V/3Lhx2L59u8aS2oMGDcLp06cRHR0NABg6dCji4+Oxf/9+qc7o0aNx/Pjx147evsApXVTWZGZmSu+pCRMmcAEmohLCzw8iIiLdVaQR1szMTMTExORakjsgIABRUVF5nhMdHZ2rfmBgIE6ePImsrCwAwAcffICYmBgcP34cAHD9+nXs3LkT7du3zzeWjIwMpKWlaTyIiIiIiIio7ChSwvrgwQOoVKpcm9Xa29sjOTk5z3OSk5PzrJ+dnY0HDx4AALp164YZM2bggw8+gL6+PqpVq4YWLVpg/Pjx+cYSFhYGCwsL6eHk5FSUrhARERHlSSaTFWnfRyIiKjlvtOjSq/s9CSEK3AMqr/ovl0dGRmLmzJlYtGgRTp06ha1bt2LHjh2YMWNGvm1OmDABqamp0uPWrVtv0hUiIiIqB4KDgyGTySCTyaCvrw97e3u0bt0a4eHhuRa2S0pKKnCriuDgYHTu3LmEIyYiIgAo0j4ZNjY2kMvluUZTU1JSco2ivuDg4JBnfYVCAWtrawBASEgIevfujc8//xwAULduXTx58gQDBw7EpEmTpD2TXqZUKqFUKosSPhEREZVjbdq0QUREBFQqFe7du4fdu3dj+PDh2Lx5M7Zv3y5tH+bg4PBO48rMzOQ6BURE+SjSCKuBgQG8vb2xd+9ejfK9e/fC19c3z3N8fHxy1d+zZw8aNmworWr29OnTXEmpXC6HEAJlZJtYoiLT19fHmDFjMGbMGK4ASERUDJRKJRwcHFCpUiV4eXlh4sSJ+O2337Br1y6sWrVKqve2U4IPHTqE999/H0qlEo6Ojhg/fjyys7Ol482bN8fQoUMxatQo2NjYoHXr1gCACxcuoF27djA1NYW9vT169+4t3T714rxhw4bh66+/RoUKFeDg4IDQ0FDp+KpVq6RR5JcfL+qo1WpMnz4dlStXhlKphKenJ3bv3v3G/SQieheKPCV41KhRWLFiBcLDwxEfH4+RI0ciMTERgwYNApAzVbdPnz5S/UGDBuHmzZsYNWoU4uPjER4ejpUrV2LMmDFSnY4dO2Lx4sXYsGEDbty4gb179yIkJAQffvgh5HJ5MXSTqPSRyWQwMTGBiYlJgVPuiYjozbVs2RL169fH1q1bi6W9O3fuoF27dnjvvfdw+vRpLF68GCtXrsQ333yjUW/16tVQKBQ4evQoli5diqSkJDRr1gyenp44efIkdu/ejXv37qFr1665zjMxMcGxY8cwZ84cTJ8+XRoYCAoKQlJSkvRYv349FAoFmjRpAgD4/vvvMW/ePMydOxdnzpxBYGAgPvzwQ1y5cqVY+k5EVCLEG/jpp5+Es7OzMDAwEF5eXuLQoUPSsb59+4pmzZpp1I+MjBQNGjQQBgYGwsXFRSxevFjjeFZWlggNDRXVqlUThoaGwsnJSXz55Zfi0aNHhY4pNTVVABCpqalv0iUiIiqn+PlRPvTt21d06tQpz2NBQUGiVq1a0msA4tdff32jtiZOnCjc3d2FWq2Wyn766SdhamoqVCqVEEKIZs2aCU9PT43zQkJCREBAgEbZrVu3BABx6dIl6bwPPvhAo857770nxo0blyuOq1evCmtrazFnzhyprGLFimLmzJm5zv/yyy/z7SsRkbYV6R7WF7788kt8+eWXeR57eUrNC82aNcOpU6fybU+hUGDq1KmYOnXqm4RDVCZlZ2fjzz//BJCzFdSLe6uIiKh4idcsHlkU8fHx8PHx0WivSZMmSE9Px+3bt1GlShUAQMOGDTXOi4mJwcGDB2FqapqrzWvXrqFGjRoAgHr16mkcc3R0REpKikZZamoqOnTogLZt22Ls2LEAcvYbvnv3rjTa+nJsp0+ffsPeEhGVPP4FTKSj1Go1Tp48CQDS/U1ERFT84uPjUbVq1WJpK6/kV7yyOwIAmJiYaNRRq9Xo2LEjZs+enatNR0dH6fmraxrIZDKNVY5VKhWCgoJgbm6O5cuX52qrqDs9EBFpGxNWIiIiKrcOHDiAs2fPYuTIkcXSnoeHB7Zs2aKRCEZFRcHMzAyVKlXK9zwvLy9s2bIFLi4ubzWjZuTIkTh79ixOnDgBQ0NDqdzc3BwVK1bEkSNH0LRpU6k8KioK77///htfj4iopDFhJSIionIhIyMDycnJGtvahIWFoUOHDhoLRhZGamoq4uLiNMoqVKiAL7/8EgsWLMBXX32FoUOH4tKlS5g6dSpGjRqV5zZ9LwwZMgTLly9H9+7dMXbsWNjY2ODq1avYsGEDli9fXqhFKCMiIrBo0SL8+uuv0NPTk7YVNDU1hampKcaOHYupU6eiWrVq8PT0REREBOLi4rB27doi9Z2I6F1iwkpERETlwu7du+Ho6AiFQgErKyvUr18fCxcuRN++fQtMJvMSGRmJBg0aaJT17dsXq1atws6dOzF27FjUr18fFSpUQP/+/TF58uQC26tYsSKOHj2KcePGITAwEBkZGXB2dkabNm0KHduhQ4egUqnw4YcfapRPnToVoaGhGDZsGNLS0jB69GikpKTAw8MD27dvR/Xq1YvUdyKid0kmRNnY6DQtLQ0WFhZITU2Fubm5tsMhemuZmZkICwsDkLNdFDeVJyoZ/PwgIiLSXUXeh5WIiIiIiIjoXWDCSkRERERERDqJ97AS6Sh9fX0MHz5cek5EREREVN4wYSXSUTKZDJaWltoOg4iIiIhIazglmIiIiOg1mjdvjhEjRrx1O8HBwejcufNbt0NEVF4wYSXSUSqVCnv27MGePXugUqm0HQ4RUanVsWNH+Pv753ksOjoaMpkMp06deiexfP/991i1atU7uRYRUVnAhJVIR6lUKkRHRyM6OpoJKxHRW+jfvz8OHDiAmzdv5joWHh4OT09PeHl5lWgMKpUKarUaFhYWvN2DiKgImLASERFRmdahQwfY2dnlGtl8+vQpNm7ciM6dO6N79+6oXLkyjI2NUbduXaxfv77ANjMzM/H111+jUqVKMDExQaNGjRAZGSkdX7VqFSwtLbFjxw54eHhAqVTi5s2bnBJMRFRETFiJiIioTFMoFOjTpw9WrVoFIYRU/ssvvyAzMxOff/45vL29sWPHDpw7dw4DBw5E7969cezYsXzb/Oyzz3D06FFs2LABZ86cwaeffoo2bdrgypUrUp2nT58iLCwMK1aswPnz52FnZ1ei/SQiKouYsBIREVGZ169fPyQkJGiMgoaHh+Pjjz9GpUqVMGbMGHh6esLV1RVfffUVAgMD8csvv+TZ1rVr17B+/Xr88ssv8PPzQ7Vq1TBmzBh88MEHiIiIkOplZWVh0aJF8PX1hbu7O0xMTEq6m0REZQ63tSEiIqIyr2bNmvD19UV4eDhatGiBa9eu4fDhw9LCdv/5z3+wceNG3LlzBxkZGcjIyMg3wTx16hSEEKhRo4ZGeUZGBqytraXXBgYGqFevXon2i4iorGPCSkREROVC//79MXToUPz000+IiIiAs7MzWrVqhW+//Rbz58/HggULULduXZiYmGDEiBHIzMzMsx21Wg25XI6YmBjI5XKNY6amptJzIyMjyGSyEu0TEVFZx4SViIiIyoWuXbti+PDhWLduHVavXo0BAwZAJpPh8OHD6NSpE3r16gUgJyG9cuUKatWqlWc7DRo0gEqlQkpKCvz8/N5lF4iIyh0mrEQ6Sl9fH4MHD5aeExHR2zE1NUVQUBAmTpyI1NRUBAcHAwDc3NywZcsWREVFwcrKCt999x2Sk5PzTVhr1KiBnj17ok+fPpg3bx4aNGiABw8e4MCBA6hbty7atWv3DntFRFS2cdElIh0lk8lgZ2cHOzs7TikjIiom/fv3x6NHj+Dv748qVaoAAEJCQuDl5YXAwEA0b94cDg4Or916JiIiAn369MHo0aPh7u6ODz/8EMeOHYOTk9M76AURUfkhEy+v716KpaWlwcLCAqmpqTA3N9d2OEREVErw84OIiEh3cUowkY5SqVQ4fPgwAMDPzy/Xwh5ERERERGUdE1YiHaVSqXDo0CEAgK+vLxNWIiIiIip3eA8rERERERER6SQmrERERERERKSTmLASERERFbPIyEjIZDI8fvxY26EQEZVqTFiJiIiozAsODs61Vc3mzZthaGiIOXPmvFXbzZs3x4gRIzTKfH19kZSUBAsLi7dqm4iovOOiS0RERFTurFixAkOGDMFPP/2Ezz//vNjbNzAwgIODQ7G3S0RU3nCElYiIiMqVOXPmYOjQoVi3bp2UrG7ZsgW1a9eGUqmEi4sL5s2bp3HOokWLUL16dRgaGsLe3h6ffPIJgJyR20OHDuH777+HTCaDTCZDQkJCnlOCjx49imbNmsHY2BhWVlYIDAzEo0eP3lm/iYhKI46wEukohUIh/SGlUPCtSkRUHMaPH4+ffvoJO3bsgL+/PwAgJiYGXbt2RWhoKIKCghAVFYUvv/wS1tbWCA4OxsmTJzFs2DD8/PPP8PX1xT///CPtk/3999/j8uXLqFOnDqZPnw4AsLW1RUJCgsZ14+Li0KpVK/Tr1w8LFy6EQqHAwYMHoVKp3mn/iYhKG/4VTKSj9PT0UKlSJW2HQURUZuzatQu//fYb9u/fj5YtW0rl3333HVq1aoWQkBAAQI0aNXDhwgV8++23CA4ORmJiIkxMTNChQweYmZnB2dkZDRo0AABYWFjAwMAAxsbGBU4BnjNnDho2bIhFixZJZbVr1y6hnhIRlR2cEkxERETlQr169eDi4oIpU6bg33//lcrj4+PRpEkTjbpNmjTBlStXoFKp0Lp1azg7O8PV1RW9e/fG2rVr8fTp0yJd+8UIKxERFQ0TViIdpVKpcPToURw9epRTxoiIikGlSpVw6NAhJCUloU2bNlLSKoSATCbTqCuEkJ6bmZnh1KlTWL9+PRwdHTFlyhTUr1+/SFvWGBkZFUsfiIjKGyasRDpKpVJh37592LdvHxNWIqJiUqVKFRw6dAgpKSkICAhAWloaPDw8cOTIEY16UVFRqFGjBuRyOYCctQT8/f0xZ84cnDlzBgkJCThw4ACAnBWBX/f/dL169bB///6S6RQRURnGhJWIiIjKlcqVKyMyMhIPHz5EQEAABg4ciP3792PGjBm4fPkyVq9ejR9//BFjxowBAOzYsQMLFy5EXFwcbt68iTVr1kCtVsPd3R0A4OLigmPHjiEhIQEPHjyAWq3Odc0JEybgxIkT+PLLL3HmzBlcvHgRixcvxoMHD95p34mIShsmrERERFTuvJge/PjxY4wdOxabNm3Chg0bUKdOHUyZMgXTp09HcHAwAMDS0hJbt25Fy5YtUatWLSxZsgTr16+XFk0aM2YM5HI5PDw8YGtri8TExFzXq1GjBvbs2YPTp0/j/fffh4+PD3777TeuAk9E9Boy8fJNGqVYWloaLCwskJqaCnNzc22HQ/TWMjMzERYWBiDnm3kDAwMtR0RUNvHzg4iISHdxhJWIiIiIiIh0EhNWIiIiIiIi0klMWImIiIiIiEgn8U5/Ih2lUCjQt29f6TkRERERUXnDv4KJdJSenh5cXFy0HQYRERERkdZwSjARERGRDmvevDlGjBih7TCIiLSCCSuRjlKpVDh+/DiOHz8OlUql7XCIiEq14OBgyGSyXI+rV6++UXurVq2CpaVlrnIXFxcsWLDg7YJ9xdatWzFjxoxibZOIqLTglGAiHaVSqbBr1y4AgKenJ+RyuZYjIiIq3dq0aYOIiAiNMltbW43XmZmZOrfvdYUKFbQdAhGR1nCElYiIiMoFpVIJBwcHjUerVq0wdOhQjBo1CjY2NmjdujUA4LvvvkPdunVhYmICJycnfPnll0hPTwcAREZG4rPPPkNqaqo0UhsaGormzZvj5s2bGDlypFT+QlRUFJo2bQojIyM4OTlh2LBhePLkiXR80aJFqF69OgwNDWFvb49PPvlEOsYpwURUnjFhJSIionJt9erVUCgUOHr0KJYuXQogZ+G7hQsX4ty5c1i9ejUOHDiAr7/+GgDg6+uLBQsWwNzcHElJSUhKSsKYMWOwdetWVK5cGdOnT5fKAeDs2bMIDAzExx9/jDNnzmDjxo04cuQIhg4dCgA4efIkhg0bhunTp+PSpUvYvXs3mjZtqp0fBhGRjuGUYCIiIioXduzYAVNTU+l127ZtAQBubm6YM2eORt2XRzSrVq2KGTNmYPDgwVi0aBEMDAxgYWEBmUwGBwcHjfPkcjnMzMw0yr/99lv06NFDarN69epYuHAhmjVrhsWLFyMxMREmJibo0KEDzMzM4OzsjAYNGhRz74mISicmrERERFQutGjRAosXL5Zem5iYoHv37mjYsGGuugcPHsSsWbNw4cIFpKWlITs7G8+fP8eTJ09gYmJSpOvGxMTg6tWrWLt2rVQmhIBarcaNGzfQunVrODs7w9XVFW3atEGbNm3w0UcfwdjY+M07S0RURnBKMBEREZULJiYmcHNzkx6Ojo5S+ctu3ryJdu3aoU6dOtiyZQtiYmLw008/AQCysrKKfF21Wo0vvvgCcXFx0uP06dO4cuUKqlWrBjMzM5w6dQrr16+Ho6MjpkyZgvr16+Px48dv3WciotKOI6xERERELzl58iSys7Mxb9486OnlfLe/adMmjToGBgZ5bjmWV7mXlxfOnz8PNze3fK+pUCjg7+8Pf39/TJ06FZaWljhw4AA+/vjjYugREVHp9UYjrIsWLULVqlVhaGgIb29vHD58uMD6hw4dgre3NwwNDeHq6oolS5bkqvP48WMMGTIEjo6OMDQ0RK1atbBz5843CY+oTFAoFOjevTu6d+8OhYLfLRERvSvVqlVDdnY2fvjhB1y/fh0///xzrr9dXFxckJ6ejv379+PBgwd4+vSpVP7XX3/hzp07ePDgAQBg3LhxiI6OxpAhQxAXF4crV65g+/bt+OqrrwDk3Fu7cOFCxMXF4ebNm1izZg3UajXc3d3fbceJiHRQkRPWjRs3YsSIEZg0aRJiY2Ph5+eHtm3bIjExMc/6N27cQLt27eDn54fY2FhMnDgRw4YNw5YtW6Q6mZmZaN26NRISErB582ZcunQJy5cvR6VKld68Z0SlnJ6eHmrUqIEaNWpI3/ATEVHJ8/T0xHfffYfZs2ejTp06WLt2LcLCwjTq+Pr6YtCgQQgKCoKtra20aNP06dORkJCAatWqSXu81qtXD4cOHcKVK1fg5+eHBg0aICQkRJqSbGlpia1bt6Jly5aoVasWlixZgvXr16N27drvtuNERDpIJoQQRTmhUaNG8PLy0li0oFatWujcuXOu/8yBnG8Vt2/fjvj4eKls0KBBOH36NKKjowEAS5YswbfffouLFy9CX1+/UHFkZGQgIyNDep2WlgYnJyekpqbC3Ny8KF0iIqJyLC0tDRYWFvz8ICIi0kFFGrbJzMxETEwMAgICNMoDAgIQFRWV5znR0dG56gcGBuLkyZPSwgXbt2+Hj48PhgwZAnt7e9SpUwezZs3K896QF8LCwmBhYSE9nJycitIVIp2nUqmkxTkKei8QEREREZVVRUpYHzx4AJVKBXt7e41ye3t7JCcn53lOcnJynvWzs7OlezuuX7+OzZs3Q6VSYefOnZg8eTLmzZuHmTNn5hvLhAkTkJqaKj1u3bpVlK4Q6TyVSoXffvsNv/32GxNWIiIiIiqX3mglF5lMpvFaCJGr7HX1Xy5Xq9Wws7PDsmXLIJfL4e3tjbt37+Lbb7/FlClT8mxTqVRCqVS+SfhERERERERUChQpYbWxsYFcLs81mpqSkpJrFPUFBweHPOsrFApYW1sDABwdHaGvrw+5XC7VqVWrFpKTk5GZmQkDA4OihElERERERERlQJGmBBsYGMDb2xt79+7VKN+7dy98fX3zPMfHxydX/T179qBhw4bSAktNmjTB1atXoVarpTqXL1+Go6Mjk1UiIiIq1UJDQ+Hp6Sm9Dg4ORufOnbUWDxFRaVLkvTJGjRqFFStWIDw8HPHx8Rg5ciQSExMxaNAgADn3lvbp00eqP2jQINy8eROjRo1CfHw8wsPDsXLlSowZM0aqM3jwYDx8+BDDhw/H5cuX8ccff2DWrFkYMmRIMXSRiIiIyrvg4GDIZDLpYW1tjTZt2uDMmTPaDo2IiApQ5IQ1KCgICxYswPTp0+Hp6Ym//voLO3fuhLOzMwAgKSlJY0/WqlWrYufOnYiMjISnpydmzJiBhQsXokuXLlIdJycn7NmzBydOnEC9evUwbNgwDB8+HOPHjy+GLhIREREBbdq0QVJSEpKSkrB//34oFAp06NDhjdt7sdsBERGVnCInrADw5ZdfIiEhARkZGYiJiUHTpk2lY6tWrUJkZKRG/WbNmuHUqVPIyMjAjRs3pNHYl/n4+ODvv//G8+fPce3aNUycOFHjnlYiIiKit6FUKuHg4AAHBwd4enpi3LhxuHXrFu7fvw8gZ+/4GjVqwNjYGK6urggJCdFISl9M7Q0PD4erqyuUSiWEEEhNTcXAgQNhZ2cHc3NztGzZEqdPny50XLt378YHH3wAS0tLWFtbo0OHDrh27Vqx95+IqDR6o1WCiajkKRQKfPLJJ9JzIiIqPunp6Vi7di3c3NykRSDNzMywatUqVKxYEWfPnsWAAQNgZmaGr7/+Wjrv6tWr2LRpE7Zs2SJ9sd6+fXtUqFABO3fuhIWFBZYuXYpWrVrh8uXLqFChwmtjefLkCUaNGoW6deviyZMnmDJlCj766CPExcVBT++NxhaIiMoM/hVMpKP09PRQu3ZtbYdBRFRm7NixA6ampgBykkRHR0fs2LFDSgonT54s1XVxccHo0aOxceNGjYQ1MzMTP//8M2xtbQEABw4cwNmzZ5GSkiJttzd37lxs27YNmzdvxsCBA18b18u3SQHAypUrYWdnhwsXLqBOnTpv12kiolKOX9sRERFRudCiRQvExcUhLi4Ox44dQ0BAANq2bYubN28CADZv3owPPvgADg4OMDU1RUhIiMa6HADg7OwsJasAEBMTg/T0dFhbW8PU1FR63Lhxo9DTeq9du4YePXrA1dUV5ubmqFq1KgDkujYRUXnEEVYiHaVWqxEfHw8gZ19iTgsjIno7JiYmcHNzk157e3vDwsICy5cvR4cOHdCtWzdMmzYNgYGBsLCwwIYNGzBv3rxcbbxMrVbD0dEx1/odAGBpaVmouDp27AgnJycsX74cFStWhFqtRp06dZCZmVnkPhIRlTVMWIl0VHZ2NjZv3gwgZ7so7klMRFS8ZDIZ9PT08OzZMxw9ehTOzs6YNGmSdPzFyGtBvLy8kJycDIVCARcXlyLH8PDhQ8THx2Pp0qXw8/MDABw5cqTI7RARlVVMWImIiKhcyMjIQHJyMgDg0aNH+PHHH5Geno6OHTsiNTUViYmJ2LBhA9577z388ccf+PXXX1/bpr+/P3x8fNC5c2fMnj0b7u7uuHv3Lnbu3InOnTujYcOGBZ5vZWUFa2trLFu2DI6OjkhMTOS2fkREL2HCSkREROXC7t274ejoCCBnReCaNWvil19+QfPmzQEAI0eOxNChQ5GRkYH27dsjJCQEoaGhBbYpk8mwc+dOTJo0Cf369cP9+/fh4OCApk2bwt7e/rUx6enpYcOGDRg2bBjq1KkDd3d3LFy4UIqJiKi8kwkhhLaDKA5paWmwsLBAamoqzM3NtR0O0VvLzMxEWFgYAE4JJipJ/PwgIiLSXVzFhYiIiIiIiHQSpwQTFYEQAgcv3ceKI9dx5nYqnmWqYGNqgEau1ujfxAX1nay0HSIRERERUZnBhJWokNIzsjFiYxz2XbinUX4vLQPb4+5ie9xdtKnjgJmd68DaVKmlKImIiIiIyg4mrESFkPY8C92W/Y0Ld9OgJwM+qGUH72pWMDXUR0rqc5y4+hCx1x9h97lknEj4Byv6NESDKm832iqXy9GpUyfpORERERFRecN7WIleQ60WGPTfGFy4mwYjAzmGtnNH50aV4WRjAitTA7hXMkevZlUxoqM77CyUeJieia5Lo3Hg4r3XN14AuVwOT09PeHp6MmElIiqFli1bBicnJ+jp6WHBggXaDoeIqFRiwkr0Gj8cvIKoqw+hkMswKNANLnYmedZzsjHB8A41UauyObJUAgPXxGDvheR3HC0REeUnJSUFX3zxBapUqQKlUgkHBwcEBgYiOjoaQM4WNdu2bSuWa6WlpWHo0KEYN24c7ty5g4EDBxZLu0RE5Q0TVqICJDxIx48HrgIAPm7sBCebvJPVF4wM5PispSvqOVsiWy3w5dpTOJnwzxtdW61W4/Lly7h8+TLUavUbtUFERP+vS5cuOH36NFavXo3Lly9j+/btaN68Of75p/D/T2dlZRWqXmJiIrKystC+fXs4OjrC2Nj4TcMmIirXmLASFWDCr+eQpRKoUdEMjapbF+ochVwPvZtXhYdTzkjrZ6tO4Pr99CJfOzs7G+vXr8f69euRnZ1d5POJiOj/PX78GEeOHMHs2bPRokULODs74/3338eECRPQvn17uLi4AAA++ugjyGQy6XVoaCg8PT0RHh4OV1dXKJVKCCGQmpqKgQMHws7ODubm5mjZsiVOnz4NAFi1ahXq1q0LAHB1dYVMJkNCQgIA4Pfff4e3tzcMDQ3h6uqKadOmSf/Hr1q1CjKZLNcjNDQUAPI89iJOlUqF/v37o2rVqjAyMoK7uzu+//77d/KzJSIqSUxYifLx9/WHiL72EHI9GT5u7ASZTFboc+V6MvRuVhVONsb493k2+kQcx7/PC/etPBERFT9TU1OYmppi27ZtyMjIyHX8xIkTAICIiAgkJSVJrwHg6tWr2LRpE7Zs2YK4uDgAQPv27ZGcnIydO3ciJiYGXl5eaNWqFf755x8EBQVh3759AIDjx48jKSkJTk5O+PPPP9GrVy8MGzYMFy5cwNKlS7Fq1SrMnDkTABAUFISkpCTpsX79eigUCjRp0gQANI5dvXoVbm5uaNq0KYCcWTmVK1fGpk2bcOHCBUyZMgUTJ07Epk2bSuxnSkT0LjBhJcrH3D2XAADvuVnDzsKwyOcr9eX43L8aLIz1cfufZxi2IQ5CiOIOk4iICkGhUGDVqlVYvXo1LC0t0aRJE0ycOBFnzpwBANja2gIALC0t4eDgIL0GgMzMTPz8889o0KAB6tWrh4MHD+Ls2bP45Zdf0LBhQ1SvXh1z586FpaUlNm/eDCMjI1hbW0vtOjg4QC6XY+bMmRg/fjz69u0LV1dXtG7dGjNmzMDSpUsBAEZGRnBwcICDgwOePHmCoUOHYtasWWjdujUASMfs7e0xduxYWFhYSOfq6+tj2rRpeO+991C1alX07NkTwcHBTFiJqNRjwkqUh9jERziZ8Ah6MsC/nv0bt2NmpI++LVwh15Ph4MUULDp0rRijJCKioujSpQvu3r2L7du3IzAwEJGRkfDy8sKqVasKPM/Z2VkjgY2JiUF6ejqsra2lkVtTU1PcuHED167l//98TEwMpk+frnHOgAEDkJSUhKdPn0r1UlNT0aFDB7Rt2xZjx47N1c7EiRMRHR2Nbdu2wcjISCpfsmQJGjZsCFtbW5iammL58uVITEwswk+IiEj3cB9WojwsO3wdAODlWgEVzJRv1ZaLnQk6v18ZW/6+hXl/XkLjqhXg7VyhOMIkIqIiMjQ0ROvWrdG6dWtMmTIFn3/+OaZOnYrg4OB8zzEx0VxwT61Ww9HREZGRkbnqWlpa5tuOWq3GtGnT8PHHH+cZF5BzL2pQUBDMzc2xfPnyXPX++9//Yv78+YiMjETlypWl8k2bNmHkyJGYN28efHx8YGZmhm+//RbHjh3LNx4iotKACSvRKx49ycS+Czl7qDapZfua2oXjW9MG1++lI/bGIwxdH4u9I5vBVMm3HxGRtnl4eEhb2ejr60OlUr32HC8vLyQnJ0OhUEiLHhWGl5cXLl26BDc3t3zrjBw5EmfPnsWJEyekJPaF6OhofP7551i6dCkaN26scezw4cPw9fXFl19+KZUVNNpLRFRacEow0SvWn0hElkqgsrURqtgUzzYEMpkMn/g4wcrEAEmPn2PCr2eLpV0iIiqchw8fomXLlvjvf/+LM2fO4MaNG/jll18wZ84cdOrUCQDg4uKC/fv3Izk5GY8ePcq3LX9/f/j4+KBz5874888/kZCQgKioKEyePBknT57M97wpU6ZgzZo1CA0Nxfnz5xEfH4+NGzdi8uTJAHIWfFq0aBGWLFkCPT09JCcnIzk5Genp6UhOTsZHH32Ebt26ITAwUDp2//59AICbmxtOnjyJP//8E5cvX0ZISIjGwlFERKUVE1aiV2w6eRsA4ONuW6SVgV/HSKlAj6bOkAH4Pe4utp++U2B9uVyOtm3bom3btpDL5cUWBxFReWRqaopGjRph/vz5aNq0KerUqYOQkBAMGDAAP/74IwBg3rx52Lt3L5ycnNCgQYN825LJZNi5cyeaNm2Kfv36oUaNGujWrRsSEhJgb5//ugeBgYHYsWMH9u7di/feew+NGzfGd999B2dnZwDAoUOHoFKp8OGHH8LR0VF6zJ07FxcvXsS9e/ewevVqjWPvvfceAGDQoEH4+OOPERQUhEaNGuHhw4cao61ERKWVTJSRZUvT0tJgYWGB1NRUmJubazscKqUuJqWhzfeHIdeTYXq3ujAqgWm7f8Tcwf4z92CqVGDfqGZweIMViImo+PDzg4iISHdxhJXoJVtO5Yyu1qpsXiLJKgAEejqisrUx0jOyMeoXbnVDRERERJQfJqxE/yOEwI6zSQCABlWtSuw6Crkeevg5Q64nQ9TVh9h48lae9dRqNRISEpCQkAC1Wl1i8RARERER6SomrET/c+5OGpIeP4eBQg8eThYlei0HKyMENnAEAEz//QKSU5/nqpOdnY3Vq1dj9erVyM7OLtF4iIiIiIh0ERNWov/543+jqzUrmUOpX/KLHLWoYw8nG2M8zVRxajARERERUR6YsBL9z/6LOXuvlvTo6gtyPRm6f/D/U4M3xdx+J9clIqK3ExoaCnt7e8hkMmkP1+Jo09PTs1jaIiIqS5iwEgFISXuOK/fSAeQsuPSuaE4NPo97abmnBhMR0dsLDg6GTCaDTCaDQqFAlSpVMHjw4AL3W81LfHw8pk2bhqVLlyIpKQlt27YtoYg1JSQkQCaTIS4u7p1cj4hIVzBhJQKwNz5ndLWKjTHMjPTf6bVfTA1+kqHCqF9Oc2owEVEJadOmDZKSkpCQkIAVK1bg999/L/JepdeuXQMAdOrUCQ4ODlAqlSURKhER/Q8TViIAf17ISVhrvaPpwC97eWrw0SsPpK11iIioeCmVSjg4OKBy5coICAhAUFAQ9uzZIx1XqVTo378/qlatCiMjI7i7u+P777+XjoeGhqJjx44AAD09PchkMgDAiRMn0Lp1a9jY2MDCwgLNmjXDqVOnNK6dmpqKgQMHws7ODubm5mjZsiVOnz5dbH0TQmDOnDlwdXWFkZER6tevj82bNxe6b0DO6vTTp09H5cqVoVQq4enpid27dxdbjEREb4IJK5V7WSo1jl9/CADwqPzuE1YgZ2pwgKcDACB0+wWk/MupwUREJen69evYvXs39PX/f1aNWq1G5cqVsWnTJly4cAFTpkzBxIkTsWnTJgDAmDFjEBERAQBISkpCUlLOYn3//vsv+vbti8OHD+Pvv/9G9erV0a5dO/z7778AcpLJ9u3bIzk5GTt37kRMTAy8vLzQqlUr/PPPP8XSn8mTJyMiIgKLFy/G+fPnMXLkSPTq1QuHDh0qVN8A4Pvvv8e8efMwd+5cnDlzBoGBgfjwww9x5cqVYomRiOhNKLQdAJG2nbn1GM+z1DBRylHJ2khrcbSs64AzCY9x559n+HrLGazo5QV/f38AgFxe8qsWExGVdTt27ICpqSlUKhWeP8/5YvC7776Tjuvr62PatGnS66pVqyIqKgqbNm1C165dYWpqCktLSwCAg4ODVK9ly5Ya11m6dCmsrKxw6NAhdOjQAQcPHsTZs2eRkpIiTSGeO3cutm3bhs2bN2PgwIFv1a8nT57gu+++w4EDB+Dj4wMAcHV1xZEjR7B06VI0a9bstX17EdO4cePQrVs3AMDs2bNx8OBBLFiwAD/99NNbxUhE9KaYsFK5d+jKAwCAq4MZ9P43vUsb5HoydPNzxvztFxF58T7+OHcPnZo00Vo8RERlTYsWLbB48WI8ffoUK1aswOXLl/HVV19p1FmyZAlWrFiBmzdv4tmzZ8jMzHzt6r0pKSmYMmUKDhw4gHv37kGlUuHp06dITEwEAMTExCA9PR3W1tYa5z179ky6J/ZtXLhwAc+fP0fr1q01yjMzM9GgQYNC9S0tLQ13795Fk1c+d5o0aVKsU5eJiIqKCSuVe0eu3gcAVHc003IkQKUKxmhd3xF/xiVh8rZzaOJmAxtTLuhBRFQcTExM4ObmBgBYuHAhWrRogWnTpmHGjBkAgE2bNmHkyJGYN28efHx8YGZmhm+//RbHjh0rsN3g4GDcv38fCxYsgLOzM5RKJXx8fJCZmQkgZzquo6MjIiMjc537YsT2bajVagDAH3/8gUqVKmkcezGiW9i+yV754lYIkauMiOhdYsJK5VpGtgpnb6cBANwcTbUcTY5W9exx5uZjJD96iinrD2NSu1pwdHSEnh5vOSciKk5Tp05F27ZtMXjwYFSsWBGHDx+Gr6+vxsrBhRkBPXz4MBYtWoR27doBAG7duoUHDx5Ix728vJCcnAyFQgEXF5di74eHhweUSiUSExPRrFmzfGMsqG/m5uaoWLEijhw5gqZNm0rlUVFReP/994s9ZiKiwuJfwFSunbr5CFkqNcyMFLC3MNR2OAAAhVwP3T9whr5MDfu7R7FixQpkZ2drOywiojKnefPmqF27NmbNmgUAcHNzw8mTJ/Hnn3/i8uXLCAkJwYkTJ17bjpubG37++WfEx8fj2LFj6NmzJ4yM/n9NBH9/f/j4+KBz5874888/kZCQgKioKEyePBknT54sUsyXLl1CXFycxkOpVGLMmDEYOXIkVq9ejWvXriE2NhY//fQTVq9eXei+jR07FrNnz8bGjRtx6dIljB8/HnFxcRg+fHiRYiQiKk4cYaVy7a//3b/q5mCmU1OeKtsYo1lte+B/X34/epIJewMD7QZFRFQGjRo1Cp999hnGjRuHQYMGIS4uDkFBQZDJZOjevTu+/PJL7Nq1q8A2wsPDMXDgQDRo0ABVqlTBrFmzMGbMGOm4TCbDzp07MWnSJPTr1w/379+Hg4MDmjZtCnt7+yLF+2JBpJfduHEDM2bMgJ2dHcLCwnD9+nVYWlrCy8sLEydOBIBC9W3YsGFIS0vD6NGjkZKSAg8PD2zfvh3Vq1cvUoxERMVJJoQQ2g6iOKSlpcHCwgKpqakwNzfXdjhUSnT66ShO33qMT32rwMfdRtvhaMjMyMClX3O+Gb/n2gaLejfSckREZRM/P4iIiHQXpwRTuZWlUiM+Kef+VVd7Ey1Hk5tC/v9vzz3n7+HP88lajIaIiIiI6N1jwkrlVnxSGjKz1TAykMNWR+5fLcj4rWfx+GmmtsMgIiIiInpnmLBSufX3jYcAAGdbE63uv1oYtuZKPHqSiZDfzmk7FCIiIiKid4YJK5Vbx2/8AwCoaqd704Ff9YlvFcgA/H46Cfvi72k7HCIiIiKid4IJK5Vbp2+lAgCcdTVhlenBrrYX7Gp7wdnODE1r2wEAxm85g7TnWVoOjoiofGrevDlGjBghvXZxccGCBQtK/LqhoaHw9PQs8esQEekaJqxULiWnPsf9fzMgkwFVbHUzYdWTy2FftyHs6zaEnlyOtl4VYWOmxIP0TEzdfl7b4RERlSrBwcHo3LlzrvLIyEjIZDI8fvy4UO1s3boVM2bMKN7giIgoX0xYqVw6eTNnOnBFKyMY6su1HE3hGCj00O0DZ8gA/HrqDiIvpWg7JCKicqdChQowMzPTdhhEROUGE1Yql6Kv/2/BJV2dDgxACIHnqf/geeo/eLFdsquDKZrUsgUAjN18Bv9yajARUbHasmULateuDaVSCRcXF8ybN0/j+KtTgl+WkJAAmUyGuLg4qezx48eQyWSIjIwE8P8juvv370fDhg1hbGwMX19fXLp0SaOt//znP7C3t4eZmRn69++P58+fF2c3iYhKDSasVC6dSnwMAHDR5YRVlY0ruzbjyq7NEKpsqby9d0VUMDXA/X8zMG3HBS1GSERUtsTExKBr167o1q0bzp49i9DQUISEhGDVqlXFfq1JkyZh3rx5OHnyJBQKBfr16ycd27RpE6ZOnYqZM2fi5MmTcHR0xKJFi4o9BiKi0kCh7QCI3rUslRpX7/0LAKhio7sJa36U+nIEfeCMxbuvYPPJ2+jsWREfuNlqOywiIp23Y8cOmJqaapSpVCrp+XfffYdWrVohJCQEAFCjRg1cuHAB3377LYKDg4s1lpkzZ6JZs2YAgPHjx6N9+/Z4/vw5DA0NsWDBAvTr1w+ff/45AOCbb77Bvn37OMpKROXSG42wLlq0CFWrVoWhoSG8vb1x+PDhAusfOnQI3t7eMDQ0hKurK5YsWZJv3Q0bNkAmk+W5MAJRcbhyLx1ZKgFDAzlszJXaDueNVHc0g29NGwDA6E2n8SQj+zVnEBFRixYtEBcXp/FYsWKFdDw+Ph5NmjTROKdJkya4cuWKRmJbHOrVqyc9d3R0BACkpKRIcfj4+GjUf/U1EVF5UeSEdePGjRgxYgQmTZqE2NhY+Pn5oW3btkhMTMyz/o0bN9CuXTv4+fkhNjYWEydOxLBhw7Bly5ZcdW/evIkxY8bAz8+v6D0hKqS4W48AAJUrGEFPJtNyNG+uQ8NKsDI1wL20DK4aTERUCCYmJnBzc9N4VKpUSTouhIDslc+FF2sIFIaenl6uc7Ky8l5rQF9fX3r+4ppqtbrQ1yIiKi+KnLB+99136N+/Pz7//HPUqlULCxYsgJOTExYvXpxn/SVLlqBKlSpYsGABatWqhc8//xz9+vXD3LlzNeqpVCr07NkT06ZNg6ur65v1hqgQYv53/6qTjbF2A3lLhvpydGviDADYHHMb++PvaTkiIqLSzcPDA0eOHNEoi4qKQo0aNSCXv35FeVvbnNszkpKSpLKXF2AqrFq1auHvv//WKHv1NRFReVGkhDUzMxMxMTEICAjQKA8ICEBUVFSe50RHR+eqHxgYiJMnT2p86zh9+nTY2tqif//+hYolIyMDaWlpGg+iwjh3JxUAUNm6dCesAFC9ohn8PP5/1eBHTzK1HBERUek1evRo7N+/HzNmzMDly5exevVq/PjjjxgzZkyhzjcyMkLjxo3xn//8BxcuXMBff/2FyZMnFzmO4cOHIzw8HOHh4bh8+TKmTp2K8+c5k4aIyqciJawPHjyASqWCvb29Rrm9vT2Sk5PzPCc5OTnP+tnZ2Xjw4AEA4OjRo1i5ciWWL19e6FjCwsJgYWEhPZycnIrSFSqnMrPVuH4/HQDgVAoXXMpLe+9KsLNQ4p8nmRi39Yy2wyEiKrW8vLywadMmbNiwAXXq1MGUKVMwffr0Ii24FB4ejqysLDRs2BDDhw/HN998U+Q4goKCMGXKFIwbNw7e3t64efMmBg8eXOR2iIjKgjdaJTiv+zteLXtd/Rfl//77L3r16oXly5fDxsam0DFMmDABo0aNkl6npaUxaaXXunzvX2SpBIwM5LA2M9B2OAWT6cGmZj3peX4MFHro4eeChX9cwp7z97At9jY6N6j8joIkIiod8tuapnnz5hr3nHbp0gVdunTJt52MjAyNlYYTEhI0jteqVQvR0dEaZS+3/+r1AMDT0zNX2cSJEzFx4kSNstmzZ+cbFxFRWVWkhNXGxgZyuTzXaGpKSkquUdQXHBwc8qyvUChgbW2N8+fPIyEhAR07dpSOv1h0QKFQ4NKlS6hWrVqudpVKJZTK0rnCK2lP3K3HAHKmAxf0JYsu0JPL4ejZuFB1q9iawL++A/bEJWPytvNo7GoDBwvDEo6QiKj8yMjIwNmzZ3H+/HkMGzZM2+EQEZUbRZoSbGBgAG9vb+zdu1ejfO/evfD19c3zHB8fn1z19+zZg4YNG0JfXx81a9bE2bNnNZaY//DDD6Wl5zlqSsXp1IsVgsvA/auval3fEU42xkjPyMaITXFFWtmSiIgKtmvXLrRs2RIdO3bEJ598ou1wiIjKjSJPCR41ahR69+6Nhg0bwsfHB8uWLUNiYiIGDRoEIGeq7p07d7BmzRoAwKBBg/Djjz9i1KhRGDBgAKKjo7Fy5UqsX78eAGBoaIg6depoXMPS0hIAcpUTva1zd3IW5yoNKwQLIZD1JOd+W30T09eOCMv1ZOjh54x52y/i72sPsTo6AcG+Vd9FqEREZV7nzp25wCMRkRYUOWENCgrCw4cPMX36dCQlJaFOnTrYuXMnnJ1zttdISkrS2JO1atWq2LlzJ0aOHImffvoJFStWxMKFCwu8P4SoJGRmq3E95cWCS6UgYVVl49KOnC92an/yGWQK/decAdhbGqGDdyVsO34bYTsvolkNO1QtI4tLEREREVH5IxNlZN5gWloaLCwskJqaCnNzc22HQzro3J1UdPjhCIwM5PimRz2dv4dVnZ2F85sjAOQkrHqFSFgBQC0Eluy+gqvJ6ahTyRzbvmwChbzIWy4TlRv8/CAiItJd/CuWyo2zdx4DKB0LLr0NPZkM3f1cYKivh3N30vDTwavaDomIiIiI6I0wYaVy4/TtVABAxQpGWo6k5FmZGuCjRjkLli08cBXn76RqOSIiIiIioqJjwkrlRnxSzmIZ5SFhBYCGbhVQp4oFVGqBoetj8TxLpe2QiIiIiIiKhAkrlQtCCFz934JL5SVhlclk+NS3CkwNFbjx4Alm7YrXdkhEREREREXChJXKhbupz/EkQwU9GWBvYajtcN4ZMyN9dG1SBQDwc9RNHL36QMsREREREREVHhNWKhcu3M25h9Pe0rD0rJgr00MFNw9UcPMAZG8ec50qlmhcwxoCwIiNcUh9llV8MRIRERERlaBS8pc70dv5/wWXdH//1Rf05HJUavgBKjX8AHpy+Vu11en9yrAxU+L+vxkYt/VMMUVIRERERFSymLBSuXDufyOsFa3Kx/2rr1Lqy9GjqQv0ZMDus8nYGntb2yEREREREb0WE1YqF67cK30LLgkhkP38GbKfP4MQ4q3bc7EzgX99BwDA5F/P4e7jZ2/dJhERERFRSWLCSmXe08xs3H2Uk5yVqoRVlY34bT8jftvPEKrsYmmzdX1HONkY42mmCkPXx0KtfvtEmIiIiIiopDBhpTLvUvK/EADMjBQwM9LXdjhaJdeToWdTFxgo9HDq5iMsPXxN2yEREREREeWLCSuVeWfvlO/7V19lZ2GID9+rBACY9+dlxCelajkiIiIiIqK8MWGlMu/Mi4S1FE0HLmk+7jbwcDJHtlpgyLpYZGSrtB0SEREREVEuTFipzItPSgNQura0KWkymQxBTZxhaqjA9ftPELbrorZDIiIiIiLKhQkrlWlqtcD1+08AcIT1VWZG+ujapAoAYPXRBBy9+kDLERERERERaWLCSmXancfP8CxTBbmeDHYWhtoOR+fUqWKJxjWsIQCM2BiH1GdZ2g6JiIiIiEjChJXKtPN3c+5fdbA0hFxPpuVoikimB0uXGrB0qQHISu6t2un9yrAxU+L+vxkYt/VMiV2HiIiIiKiomLBSmXb6duldcElPLodT4+ZwatwcenJ5iV1HqS9Hj6Yu0JMBu88mY1vs7RK7FhERERFRUTBhpTLt/N0XCy6VvoT1XXKxM4F/fQcAwKRt53D38TMtR0RERERExISVyrjL9/4FAFS0Kn0rBAshoM7Ogjo7C0KIEr9e6/qOcLIxxpMMFYauj4VaXfLXJCIiIiIqCBNWKrP+fZ6F5NTnAADHUjjCKlTZOL85Auc3R0Coskv8enI9GXo2dYGBQg+nbj7C0sPXSvyaREREREQFYcJKZdaL0VVzY32YGiq0HE3pYGdhiA/fqwQAmPfnZcQnpWo5IiIiIiIqz5iwUpl17s7/7l+1Kn2jq9rk424DDydzZKsFhqyLRUa2StshEREREVE5xYSVyqyz/9vSxpEJa5HIZDIENXGGqaEC1+8/Qdiui9oOiYiIiIjKKSasVGZdSv7fgkul8P5VbTMz0kfXJlUAAKuPJuDo1QdajoiIiIiIyiMmrFQmCSFw7X46AI6wvqk6VSzRuIY1BIARG+OQ+ixL2yERERERUTnDhJXKpLupz/E0QwU9GWBnodR2OKVWp/crw8ZMifv/ZmD81jPaDoeIiIiIyhkmrFQmxf/v/lV7S0Mo5KX011wmg7lTVZg7VQVkMq2EoNSXo0dTF+jJgF1nk7Et9rZW4iAiIiKi8qmU/iVPVLCzd3NWCC7N04H15Ao4N2kN5yatoSfX3rY8LnYm8K/vAACYtO0c7j5+prVYiIiIiKh8YcJKZdKFMpCw6pLW9R3hZGOMJxkqfLUhFmq10HZIRERERFQOMGGlMunSPa4QXJzkejL0bOoCA4UeYhIeYdnh69oOiYiIiIjKASasVOZkZKtw+5+nAEr3CKs6OwtnNyzD2Q3LoM7W/gq9dhaG+PC9SgCAuX9eQnxSqpYjIiIiIqKyjgkrlTlXU9KhFoCRgRwWxvraDqdM8XG3gYeTObLVAkPWxSIjW6XtkIiIiIioDGPCSmVOfFLO/asVKxhBpqXVdcsqmUyGoCbOMDVU4Pr9JwjbdVHbIRERERFRGcaElcqcs3dypqqW5unAuszMSB9dm1QBAKw+moCoaw+0HBERERERlVVMWKnMuZCUs+ASE9aSU6eKJRrXsIYAMHxDHFKfaf8eWyIiIiIqe5iwUplzLSUdAFcILmmd3q8MGzMl7v+bgfFbz2g7HCIiIiIqg5iwUpnyMD0D/zzJBAA4WBpqOZqyTakvR4+mLtCTAbvOJuPX2NvaDomIiIiIyhgmrFSmXErOmQ5sbaaEUl+u5WjekkwGM0cnmDk6ATq6eJSLnQn86zsAACZvO4e7j59pOSIiIiIiKkuYsFKZcv7FCsFWpX90VU+ugEuztnBp1hZ6coW2w8lX6/qOqGJjjCcZKgxZfwoqtdB2SERERERURjBhpTJFWiGY96++M3I9GXo2c4GBQg+xNx/jxwNXtB0SEREREZURTFipTLl0jysEa4OtuSE+buwEAFh44CriEh9pOSIiIiIiKguYsFKZoVIL3Lj/BEDZSFjV2Vk490s4zv0SDnW27m8b855bBXi6WEKlFvhyXSzSM7K1HRIRERERlXJMWKnMuPnwCTKz1dCXy2BjptR2OMVCqLIhVKUj8ZPJZPjEtwosTfRx9/EzTPz1rLZDIiIiIqJSjgkrlRkXk3MWXHKwMoKenm6uqlvWGSsV6NnUBTIZsD3uLn6Lu6vtkIiIiIioFGPCSmXGmTs5CWtZmA5cmlVzMIN/vZytbiZsPYPbj55qOSIiIiIiKq2YsFKZcf5uzgrBFZmwal2ApyOq2BrjaaYKQ9bFcqsbIiIiInojTFipzLiYlLNCcCVrJqzaJteToVfTqlAq9HD61mN8v59b3RARERFR0TFhpTLh0ZNM3P83AwBQsYKxlqMhALAxV+Jjn5ytbn48cAWnbv6j5YiIiIiIqLRhwkplQnxSzv2r1mYGMDKQazma4iKDia0jTGwdAZTORaQaVquABq5WUAvgy3Wx+Pe57m/PQ0RERES6gwkrlQmn7+Tcv1qpDI2u6ikUcG3VEa6tOkJPodB2OG9EJpPhE58qsDI1QHLqc4zfyq1uiIiIiKjw3ihhXbRoEapWrQpDQ0N4e3vj8OHDBdY/dOgQvL29YWhoCFdXVyxZskTj+PLly+Hn5wcrKytYWVnB398fx48ff5PQqJw6c/sxAKBSBd6/qmuMDOTo9b+tbv44k4Qtp25rOyQiIiIiKiWKnLBu3LgRI0aMwKRJkxAbGws/Pz+0bdsWiYmJeda/ceMG2rVrBz8/P8TGxmLixIkYNmwYtmzZItWJjIxE9+7dcfDgQURHR6NKlSoICAjAnTt33rxnVK68mBJcybrsjLCWJVXtTdG6fs5WN5N/PYcb99O1HBERERERlQYyIUSR9pto1KgRvLy8sHjxYqmsVq1a6Ny5M8LCwnLVHzduHLZv3474+HipbNCgQTh9+jSio6PzvIZKpYKVlRV+/PFH9OnTp1BxpaWlwcLCAqmpqTA3Ny9Kl6iUe56lgseU3VALYGpQHVgYG2g7pGKhzs7Cxd/XAwBqduwOPYW+liN6Oyq1wOLdV3D9Xjqq25vi96EfwFC/rNxvTKUZPz+IiIh0V5FGWDMzMxETE4OAgACN8oCAAERFReV5TnR0dK76gYGBOHnyJLKy8l6A5enTp8jKykKFChXyjSUjIwNpaWkaDyqfLiX/C7UATA0VMDcq3Undq1QZz6HKeK7tMIqFXE+GXs1cYKKU48q9dEz7/by2QyIiIiIiHVekhPXBgwdQqVSwt7fXKLe3t0dycnKe5yQnJ+dZPzs7Gw8ePMjznPHjx6NSpUrw9/fPN5awsDBYWFhIDycnp6J0hcqQs9KCS0aQyUrnarrlhaWJAXo0dQEArD9+C3+cuavdgIiIiIhIp73RokuvJgVCiAIThbzq51UOAHPmzMH69euxdetWGBoa5tvmhAkTkJqaKj1u3bpVlC5QGXL6fwsucf/V0qFWZQu0qJPzJdbYzWeQ+PCpliMiIiIiIl31f+3deXBUVd438O/tNZ19I0sTEpIAL1sISxRZRAcRZREFRBYXfBgZ88o4QHRES3xx4FEQHaUcChwUfISo+KiAqGzBkjCBoJAFQ4gkkJAESBMSs3XWXs77R6AlJCBB4d6bfD9VXUWfe7rr902gun/ce89pV8MaGBgIrVbb6mxqaWlpq7Ool4SEhLQ5X6fTISAgoMX4W2+9hddffx179uzBgAEDrlmL0WiEt7d3iwd1Ttnnmi8HDwvgCsFqMX6IGd27eKCuyYGnE4+gye6UuyQiIiIiUqB2NawGgwFDhgxBUlJSi/GkpCQMHz68zdcMGzas1fw9e/YgLi4Oev2v9xu++eabWLZsGXbt2oW4uLj2lEWdmMMpcKq0ecVZnmFVD61GwuN3R8Jk0CKnpAZLvz0ud0lEREREpEDtviQ4ISEBH3zwATZs2ICcnBwsXLgQRUVFiI+PB9B8qe7lK/vGx8ejsLAQCQkJyMnJwYYNG7B+/Xo8//zzrjkrV67E4sWLsWHDBnTv3h0WiwUWiwVWK7e+oGsrKKtFo90Jg06DLt5GucuhdvDzNGDmnREAgMTUQuw81vZ98ERERETUebW7YZ0+fTpWrVqFpUuXYuDAgdi/fz927NiBiIjmL54lJSUt9mSNjIzEjh07sG/fPgwcOBDLli3Du+++i6lTp7rmrFmzBk1NTXj44YcRGhrqerz11lt/QETqyI5dXHAp1M8EjaajLbgkweTfBSb/LgA6WrZm/cN9cVe/IADA859novgX3s9KRERERL9q9z6sSsV99DqnV746hk2phRjROxBTh4XLXQ7dALvDidU7clFUVsf9WUkW/PwgIiJSrhtaJZhIKY4WVwIAwgM95C2EbphOq8HsP0XBw6hD3nkrXvjyJ3SQ/0cjIiIiot+JDSuplt3hxAlLDQCgWxcuuKRmfp4GPH53d0gSsD3zHDamFspdEhEREREpABtWUq2TF6xotDth1GkQ5H31PXvVymm34+ftn+Dn7Z/AabfLXc5N18vsjfGDzQCApd8cR3rhLzJXRERERERyY8NKqpVZVAkACAt074ALLgGAgK3OCludFUDnuER2dEwwYiJ84XAKzN2UhjJro9wlEREREZGM2LCSah0prAAAhAfycuCOQpIkzBwZgSAfI8qtTfjLpiOwO5xyl0VEREREMmHDSqp19EwlAKAbF1zqUNwMWvzX6CgYdRqkF1biv3fkyF0SEREREcmEDSupUoPNgfwLtQB4hrUjCvY1YcadzXs7/8+B0/girVjmioiIiIhIDmxYSZVySqrhcAp4uung52mQuxy6CWK7+2F0TDAA4KUtWVyEiYiIiKgTYsNKqpR+ccGlboHukKSOuOASAcD4IWb0D/eBzSEw56MjOFtZL3dJRERERHQLsWElVTp8uvlsW7cOfTmwBKO3H4zefgA6Z1OukSQ8Oqo7Qv1MqKyzYfaGH1Hb2PG3+CEiIiKiZmxYSZUyippXCI4M8pS5kptHo9Oh1/hp6DV+GjQ6ndzlyMao1+LPY6Lg6abDyVIr5n2SDqezc2zzQ0RERNTZsWEl1Tlf3YDz1Y2QJCCiC1cI7gz8PY2Yc08UtBoJ+05cwPJdP8tdEhERERHdAmxYSXUuXQ5s9jPBzaCVuRq6VboHeWL6iHAAwPv78/HJD4UyV0RERERENxsbVlKd1FPlAJobmI7Mabcjd8fnyN3xOZx23rcJAHE9AjBmQPPKwYu3HcN3OedlroiIiIiIbiY2rKQ6Rwov3r8a3NEvBxZorK5AY3UFAN6zecm4wWbERfvDKYBnPknH0eIKuUsiIiIiopuEDSupSm2jHXnnawB07AWX6OokScIjI8LRy+yFRpsTT3x4GEXldXKXRUREREQ3ARtWUpXM4go4BeDroYefp0HuckgmOq0GT46OQld/E6rqbJjx/iGUWxvlLouIiIiI/mBsWElVDl68f5VnV8lNr8Xce3vA39OAc5X1mPXBD6husMldFhERERH9gdiwkqqknCwDAESHsGElwNtdj7+M7QFPNx1OWGrw6Ac/oK6JC1QRERERdRRsWEk16pscOHa2GgDQ0+wlczWkFEE+bnh6bA+YDFpknanC7A8Po8HmkLssIiIiIvoDsGEl1Th8uhwOp4Cvhx6BXka5y7kFJOjdPaF39wQgyV2MonUNcMfce3vAqNPgcMEvmLvxCGwOp9xlEREREdHvxIaVVCM5t/ly4J6hXpCkjt/AaXQ69J40C70nzYJGp5O7HMXrHuSBP4+Jhk4r4T95Zfi/H6fDzqaViIiISNXYsJJqpJz6tWElakuPUC/81+goaDUS9h4/j6c/TuOZViIiIiIVY8NKqlBVb0OupXn/1R5sWOka+oT5YPafIqHVSPjueCn+/NERNNp5TysRERGRGrFhJVX4T94FCAEE+Rjh69E59l912u04uWcrTu7ZCqedK9+2R/9wX8y5Jwo6rYT9uRfwJBdiIiIiIlIlNqykCruzzwNoPnvWeQjU/3IB9b9cACDkLkZ1+oT54Kkx0TDoNEg9VY5H1/8AayMbfyIiIiI1YcNKiud0Cvwn7wIAoG+naljp9+pl9sZfLq4enHa6AlPWHkBpTYPcZRERERHRdWLDSor309kqVNbZYNRrEBnsIXc5pDJRIZ54ZlxPeLrpkGuxYtLqA8i/YJW7LCIiIiK6DmxYSfF2Z1sAAL27ekOn5V9Zar9ugR54dkIvBHgZYalqwENrDiCjqELusoiIiIjoN/DbPyle0vHOeP8q/dG6eLvhbxN6oVugO6rr7Zi+7hC+yjwrd1lEREREdA1sWEnRTpfV4mSpFRoJ6NvNW+5ySOW8THo8c39P9O7qjSa7E/M3Z2L5zhw4nVzUioiIiEiJ2LCSom27eAasZ6gXPN30Mldz62mNbtAa3eQuo0Mx6rV4akw07u4fBAD4d3I+nvyfw6hpsMlcGRERERFdiQ0rKdr2o+cAALGRfjJXcutpdHr0nfwE+k5+Ahpd52vWbyaNRsKk28Iw684I116tE/+VgpPna+QujYiIiIguw4aVFOtkqRX5F2qhkYCYCF+5y6EOKK5HAOaN6wVvkx6F5XWYsDoF/3ukWO6yiIiIiOgiNqykWJcah15mb3gYdTJXQx1VRBcPJEzqjZ6hXmi0OfHCFz/hr5+mo7bRLndpRERERJ0eG1ZSJLvDiS/TzwAAhvYKkLkaeTjtduR/9zXyv/saTjubp5vJ212Pp8f2wLhBoZAk4JujJbhv1X6kF/4id2lEREREnRobVlKk70+UotzaBA+jDv26ddbtbARqL5Sg9kIJAK5ie7NpNBLuHRiKeff3gq+7Hmcq6jH1vVT84+tsNNgccpdHRERE1CmxYSVF+ii1EABwWw9/6LT8a0q3TlSIJ55/qA/iov0hBPDhgdMY+85+pJ3m2VYiIiKiW42dAClOQVktDuSVAQCG9gqUuRrqjNyNOswa1R1/vicKXiYdin6pw9T3UrHwfzPxS22T3OURERERdRpsWElx1uw7CQGgb5g3gn25BynJp1+4L16Y3Be39fAHAGxNP4tRK7/HRwdPw+HkZdpERERENxsbVlKUMmsjtmU07716d0ywzNUQAR5GHWbe2R3Pju8Fs78J1kY7lmzPxuh/7sPubAuEYONKREREdLOwYSVFWbU3FzaHE90C3REd7Cl3OUQukcGeWPhAb0weGgaTQYvC8jo8vSkND6xOwaH8crnLIyIiIuqQ2LCSYhT/UodPf2zee3X8YDMkSZK5IvlJWh0kLfegVQqtRsKdfYOw+OF+GDMgGHqthGNnqzFj3SFMXXsQySdKecaViIiI6A8kiQ7y7aq6uho+Pj6oqqqCt7e33OXQDXhq4xHsPX4evcxeiL+vp9zlEP2m6job9hwtwaETZbh0S2vPYE/Mu7sHJg4I5QrXKsHPDyIiIuViw0qKkHTcgrkb0yBJwMIHeiMswF3ukoiuW4W1Cfuyz+OH3HI02Z0AgABPA6bf1g2P3xGBUB+TzBXStfDzg4iISLnYsJLsKmqbcO87ySizNuFP/YPwwG1hcpdEdENqG+xI+fkCDuRcgLXBDgCQJGBEj0DMvL0b7ukdDDe9VuYq6Ur8/CAiIlIuNqwkK4dT4NH1P+DQqXJ08TbiuQf7wKDjZZQA4HTYUZSSBAAIH3kvNLyXVTXsDieyCitx8EQZTlmsrnGTQYvRvYMwbXAYRvQMhJ6XDCsCPz+IiIiUi9+ASTZCCCzZfgyHTpVDr5Uw+0+RbFYvJwRqSopdfyb10Gk1GBTlj0FR/jhfWY8f88qRUVCBylobvv2pBN/+VAJ3gxbDogNwX78QjO4dhEBPo9xlExERESkOG1aShRAC//1tDhIPFQEAHhkRAbM/71uljifY14QHbgvDhLiuOF1ai4z8Chw9XQFrgx3f5ZTiu5xSSAB6hnhiaGQARvYIxO3d/eHnYZC7dCIiIiLZsWGlW87aaMdzn2di97HzAIApd3TDkGh/masiurk0koSoYE9EBXti8tAwFJfX4XhxFXLOVOFMeT1yLVbkWqzYlFoIAIgIdEdsmC8GdfPFgDBf9A31hsnA+1+JiIioc2HDSreMEAJ7c87j5W3HUFrdCI0EPDw8HHf0CpS7NKJbSqORENHFAxFdPDBusBnVdTactNQg32LFqfNWnK9sQGFZHQrL6rA98xyA5sWbuvm7I7qLB3oGeeH/BHshOsgTUV084O2mlzkRERER0c1xQw3rmjVr8Oabb6KkpAT9+vXDqlWrcOedd151fnJyMhISEpCdnQ2z2YwXXngB8fHxLeZ8+eWXeOWVV3Dq1ClER0fjtddew+TJk2+kPFKYqnobvs06h48OFuKEpQYA4O9pwKw7uyMqxFPm6ojk5+2ux+AofwyOar7SwNpgQ8H5Wpwpr3M9aurtKCqvQ1F5Hb7/+UKL13u56RDs7YYQHzd09TUhzM+Ebn4mBHm7wd/D0PxwN3BfWCIiIlKddjesn332GRYsWIA1a9ZgxIgR+Pe//41x48bh+PHjCA8PbzW/oKAA48ePx9y5c5GYmIgDBw7gmWeeQZcuXTB16lQAQGpqKqZPn45ly5Zh8uTJ2Lp1Kx555BGkpKRg6NChvz8l3XROp4C1yY6qOhvOVNTjdHktckqqcaSwAicsNXA4mxcNMug0GNmnC+6NDYGR23sQtcnTTY+YCF/ERPi6xqrrbDhTXocL1Q0orWpEaVUDLlQ1orrehpoGO2oarDhZar36mwLwNOrg466Hr7seXm56eBq18DTq4WnUwdukg5dRDy83HbyMOpgMWhj1Whi0Ghj1Ghi0GrjpNTBota7nRr0Geq0GWkmCRiPd5J8KERERdUbt3tZm6NChGDx4MNauXesa69OnDx566CEsX7681fxFixZh+/btyMnJcY3Fx8fj6NGjSE1NBQBMnz4d1dXV2Llzp2vO/fffDz8/P3z66adt1tHY2IjGxkbX86qqKoSHh2P4//scOreWi/dcGfFqga/8SYirHLzWD+zy92g17/e+x3XmuPKAQNtveP01iKsfEwL1dieampzXfL8gHyMGRvrhth7+8ODli9fFabchZ1siAKDPQ49Bo+PPjVpraHKgorYJVbU2VNU1oaq2CZV1dlTVNcFab0NtowP1jY5r/vv8o2gkQLrYvEpS83PXGCRoNM338mo0UvM4LmtyJfz6TPr1iCS5Dl+c8+trpBavuezYxfGW73H1htreUIeDS6ehsrISPj4+N5yfiIiI/njtOsPa1NSEtLQ0vPjiiy3Gx44di4MHD7b5mtTUVIwdO7bF2H333Yf169fDZrNBr9cjNTUVCxcubDVn1apVV61l+fLl+Mc//tFq/ODSadeZhm6lYgBpANbLXYharVghdwVEHV55eTkbViIiIoVpV8NaVlYGh8OB4ODgFuPBwcGwWCxtvsZisbQ53263o6ysDKGhoVedc7X3BICXXnoJCQkJrueVlZWIiIhAUVGRqr9wVFdXo1u3biguLlb1BvbMoSzMoSzMoSyXrtDx9+dq5UREREpzQ4suSVLLS6uEEK3Gfmv+lePtfU+j0Qij0dhq3MfHR9VfnC7x9vZmDgVhDmVhDmXpKDk0Gi5KRUREpDTt+nQODAyEVqttdeaztLS01RnSS0JCQtqcr9PpEBAQcM05V3tPIiIiIiIi6vja1bAaDAYMGTIESUlJLcaTkpIwfPjwNl8zbNiwVvP37NmDuLg46PX6a8652nsSERERERFRx9fuS4ITEhLw+OOPIy4uDsOGDcO6detQVFTk2lf1pZdewtmzZ7Fx40YAzSsCr169GgkJCZg7dy5SU1Oxfv36Fqv/zp8/H6NGjcIbb7yBBx98EF999RX27t2LlJSU667LaDRiyZIlbV4mrCbMoSzMoSzMoSzMQURERDdbu7e1AYA1a9Zg5cqVKCkpQf/+/fHOO+9g1KhRAIAnn3wSp0+fxr59+1zzk5OTsXDhQmRnZ8NsNmPRokWuBveSL774AosXL0Z+fj6io6Px2muvYcqUKb8vHREREREREanWDTWsRERERERERDcbl0QkIiIiIiIiRWLDSkRERERERIrEhpWIiIiIiIgUiQ0rERERERERKZKqG9bly5dDkiQsWLDANSaEwKuvvgqz2QyTyYS7774b2dnZ8hXZhldffRWSJLV4hISEuI6rIcMlZ8+exWOPPYaAgAC4u7tj4MCBSEtLcx1XQ5bu3bu3+n1IkoR58+YBUEcGALDb7Vi8eDEiIyNhMpkQFRWFpUuXwul0uuaoJUtNTQ0WLFiAiIgImEwmDB8+HIcPH3YdV2KO/fv344EHHoDZbIYkSdi2bVuL49dTc2NjI5599lkEBgbCw8MDkyZNwpkzZ25hit/OsWXLFtx3330IDAyEJEnIzMxs9R5Kz2Gz2bBo0SLExMTAw8MDZrMZTzzxBM6dO6e4HERERJ2dahvWw4cPY926dRgwYECL8ZUrV+Ltt9/G6tWrcfjwYYSEhODee+9FTU2NTJW2rV+/figpKXE9srKyXMfUkqGiogIjRoyAXq/Hzp07cfz4cfzzn/+Er6+va44ashw+fLjF7yIpKQkAMG3aNADqyAAAb7zxBt577z2sXr0aOTk5WLlyJd58803861//cs1RS5annnoKSUlJ2LRpE7KysjB27FiMGTMGZ8+eBaDMHLW1tYiNjcXq1avbPH49NS9YsABbt27F5s2bkZKSAqvViokTJ8LhcNyqGL+Zo7a2FiNGjMCKFSuu+h5Kz1FXV4f09HS88sorSE9Px5YtW5Cbm4tJkya1mKeEHERERJ2eUKGamhrRs2dPkZSUJO666y4xf/58IYQQTqdThISEiBUrVrjmNjQ0CB8fH/Hee+/JVG1rS5YsEbGxsW0eU0sGIYRYtGiRGDly5FWPqynL5ebPny+io6OF0+lUVYYJEyaIOXPmtBibMmWKeOyxx4QQ6vl91NXVCa1WK7755psW47GxseLll19WRQ4AYuvWra7n11NzZWWl0Ov1YvPmza45Z8+eFRqNRuzateuW1X65K3NcrqCgQAAQGRkZLcbVluOSH3/8UQAQhYWFQghl5iAiIuqMVHmGdd68eZgwYQLGjBnTYrygoAAWiwVjx451jRmNRtx11104ePDgrS7zmvLy8mA2mxEZGYkZM2YgPz8fgLoybN++HXFxcZg2bRqCgoIwaNAgvP/++67jaspySVNTExITEzFnzhxIkqSqDCNHjsR3332H3NxcAMDRo0eRkpKC8ePHA1DP78Nut8PhcMDNza3FuMlkQkpKimpyXO56ak5LS4PNZmsxx2w2o3///orN1Ra15qiqqoIkSa4rRNSag4iIqKNRXcO6efNmpKWlYfny5a2OWSwWAEBwcHCL8eDgYNcxJRg6dCg2btyI3bt34/3334fFYsHw4cNRXl6umgwAkJ+fj7Vr16Jnz57YvXs34uPj8be//Q0bN24EoJ7fx+W2bduGyspKPPnkkwDUlWHRokWYOXMmevfuDb1ej0GDBmHBggWYOXMmAPVk8fLywrBhw7Bs2TKcO3cODocDiYmJ+OGHH1BSUqKaHJe7npotFgsMBgP8/PyuOkcN1JijoaEBL774ImbNmgVvb28A6sxBRETUEenkLqA9iouLMX/+fOzZs6fV2ZfLSZLU4rkQotWYnMaNG+f6c0xMDIYNG4bo6Gh89NFHuOOOOwAoPwMAOJ1OxMXF4fXXXwcADBo0CNnZ2Vi7di2eeOIJ1zw1ZLlk/fr1GDduHMxmc4txNWT47LPPkJiYiE8++QT9+vVDZmYmFixYALPZjNmzZ7vmqSHLpk2bMGfOHHTt2hVarRaDBw/GrFmzkJ6e7pqjhhxXupGa1ZDreig1h81mw4wZM+B0OrFmzZrfnK/UHERERB2Vqs6wpqWlobS0FEOGDIFOp4NOp0NycjLeffdd6HQ619mLK//3u7S0tNWZDSXx8PBATEwM8vLyXKsFqyFDaGgo+vbt22KsT58+KCoqAgBVZQGAwsJC7N27F0899ZRrTE0Z/v73v+PFF1/EjBkzEBMTg8cffxwLFy50XY2gpizR0dFITk6G1WpFcXExfvzxR9hsNkRGRqoqxyXXU3NISAiamppQUVFx1TlqoKYcNpsNjzzyCAoKCpCUlOQ6uwqoKwcREVFHpqqG9Z577kFWVhYyMzNdj7i4ODz66KPIzMxEVFQUQkJCXKu8As33JCYnJ2P48OEyVn5tjY2NyMnJQWhoqOsLuRoyjBgxAidOnGgxlpubi4iICABQVRYA+PDDDxEUFIQJEya4xtSUoa6uDhpNy3/SWq3Wta2NmrJc4uHhgdDQUFRUVGD37t148MEHVZnjemoeMmQI9Hp9izklJSU4duyYYnO1RS05LjWreXl52Lt3LwICAlocV0sOIiKiDk+u1Z7+KJevEiyEECtWrBA+Pj5iy5YtIisrS8ycOVOEhoaK6upq+Yq8wnPPPSf27dsn8vPzxaFDh8TEiROFl5eXOH36tBBCHRmEaF5VU6fTiddee03k5eWJjz/+WLi7u4vExETXHLVkcTgcIjw8XCxatKjVMbVkmD17tujatav45ptvREFBgdiyZYsIDAwUL7zwgmuOWrLs2rVL7Ny5U+Tn54s9e/aI2NhYcfvtt4umpiYhhDJz1NTUiIyMDJGRkSEAiLfffltkZGS4Vp29nprj4+NFWFiY2Lt3r0hPTxejR48WsbGxwm63KyZHeXm5yMjIEN9++60AIDZv3iwyMjJESUmJanLYbDYxadIkERYWJjIzM0VJSYnr0djYqKgcREREnV2Ha1idTqdYsmSJCAkJEUajUYwaNUpkZWXJV2Abpk+fLkJDQ4Verxdms1lMmTJFZGdnu46rIcMlX3/9tejfv78wGo2id+/eYt26dS2OqyXL7t27BQBx4sSJVsfUkqG6ulrMnz9fhIeHCzc3NxEVFSVefvnlFl/A1ZLls88+E1FRUcJgMIiQkBAxb948UVlZ6TquxBzff/+9ANDqMXv27Ouuub6+Xvz1r38V/v7+wmQyiYkTJ4qioiJF5fjwww/bPL5kyRLV5Li0JU9bj++//15ROYiIiDo7SQghbsGJXCIiIiIiIqJ2UdU9rERERERERNR5sGElIiIiIiIiRWLDSkRERERERIrEhpWIiIiIiIgUiQ0rERERERERKRIbViIiIiIiIlIkNqxERERERESkSGxYiYiIiIiISJHYsBIREREREZEisWElIiIiIiIiRWLDSkRERERERIr0/wGdEktWYivMmwAAAABJRU5ErkJggg==",
"text/plain": [
""
]
@@ -7733,7 +9660,7 @@
},
{
"data": {
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\n",
+ "image/png": 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",
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diff --git a/fantacalcio/voti/Voti_Fantacalcio_Stagione_2022_23_Giornata_21.xlsx b/fantacalcio/voti/Voti_Fantacalcio_Stagione_2022_23_Giornata_21.xlsx
new file mode 100644
index 0000000..edb7bcc
Binary files /dev/null and b/fantacalcio/voti/Voti_Fantacalcio_Stagione_2022_23_Giornata_21.xlsx differ
diff --git a/fbref_data/keepers_players.csv b/fbref_data/keepers_players.csv
index 0ca5e62..e765dcb 100644
--- a/fbref_data/keepers_players.csv
+++ b/fbref_data/keepers_players.csv
@@ -1,32 +1,32 @@
player,nationality,position,team,age,birth_year,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions
-Emil Audero,it ITA,GK,Sampdoria,26-017,1997,20.0,20.0,1800.0,34.0,1.7,98.0,64.0,69.4,2.0,3.0,15.0,2.0,10.0,6.0,4.0,2.0,0.0,20.0,0.0,3.0,2.0,27.5,0.22,-4.5,-0.22,119.0,343.0,34.7,567.0,83.0,44.6,38.9,154.0,58.4,45.0,256.0,15.0,5.9,20.0,1.0,15.4
-Marco Carnesecchi,it ITA,GK,Cremonese,22-218,2000,11.0,11.0,990.0,16.0,1.45,59.0,44.0,74.6,0.0,5.0,6.0,2.0,18.2,1.0,1.0,0.0,0.0,11.0,1.0,2.0,1.0,17.3,0.28,2.3,0.21,47.0,169.0,27.8,265.0,61.0,46.4,39.6,78.0,59.0,49.3,138.0,12.0,8.7,7.0,0.64,12.3
-Andrea Consigli,it ITA,GK,Sassuolo,36-008,1987,18.0,18.0,1620.0,28.0,1.56,58.0,30.0,56.9,5.0,4.0,9.0,5.0,27.8,3.0,3.0,0.0,0.0,18.0,0.0,3.0,0.0,22.8,0.36,-5.2,-0.29,110.0,261.0,42.1,651.0,95.0,31.8,34.6,167.0,32.3,33.3,236.0,14.0,5.9,15.0,0.83,14.4
-Michele Di Gregorio,it ITA,GK,Monza,25-192,1997,20.0,20.0,1800.0,28.0,1.4,84.0,57.0,66.7,7.0,4.0,9.0,6.0,30.0,0.0,0.0,0.0,0.0,20.0,0.0,3.0,1.0,27.8,0.34,0.8,0.04,85.0,252.0,33.7,671.0,121.0,31.7,33.2,121.0,32.2,31.7,278.0,10.0,3.6,14.0,0.7,12.9
-Bartłomiej Drągowski,pl POL,GK,Spezia,25-169,1997,18.0,18.0,1572.0,29.0,1.66,95.0,66.0,69.5,4.0,4.0,10.0,3.0,16.7,1.0,0.0,0.0,1.0,17.5,1.0,4.0,0.0,26.0,0.28,-3.0,-0.17,85.0,255.0,33.3,479.0,87.0,39.2,34.4,106.0,63.2,47.8,235.0,9.0,3.8,24.0,1.37,15.6
-Wladimiro Falcone,it ITA,GK,Lecce,27-298,1995,20.0,20.0,1800.0,24.0,1.2,86.0,63.0,75.6,4.0,8.0,8.0,2.0,10.0,3.0,3.0,0.0,0.0,20.0,1.0,4.0,1.0,23.4,0.24,0.4,0.02,96.0,377.0,25.5,484.0,80.0,53.7,40.9,156.0,75.0,51.4,302.0,13.0,4.3,20.0,1.0,12.5
-Pierluigi Gollini,it ITA,GK,Fiorentina,27-323,1995,3.0,3.0,270.0,2.0,0.67,8.0,6.0,75.0,1.0,2.0,0.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,1.7,0.21,-0.3,-0.1,13.0,38.0,34.2,115.0,17.0,27.0,32.4,11.0,63.6,49.3,24.0,1.0,4.2,0.0,0.0,9.3
-Samir Handanović,si SVN,GK,Inter,38-205,1984,8.0,8.0,720.0,13.0,1.62,36.0,24.0,63.9,4.0,0.0,4.0,2.0,25.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,1.0,10.6,0.3,-1.4,-0.17,27.0,52.0,51.9,266.0,46.0,18.8,26.1,45.0,4.4,24.0,79.0,2.0,2.5,5.0,0.63,14.6
-Mike Maignan,fr FRA,GK,Milan,27-216,1995,7.0,7.0,630.0,8.0,1.14,22.0,13.0,68.2,4.0,2.0,1.0,2.0,28.6,2.0,1.0,1.0,0.0,7.0,0.0,1.0,0.0,8.2,0.29,0.2,0.03,29.0,74.0,39.2,220.0,32.0,30.5,33.5,18.0,38.9,40.4,65.0,5.0,7.7,6.0,0.86,12.9
-Luís Maximiano,pt POR,GK,Lazio,24-030,1999,1.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0
-Alex Meret,it ITA,GK,Napoli,25-319,1997,20.0,20.0,1800.0,15.0,0.75,53.0,37.0,73.6,17.0,2.0,1.0,8.0,40.0,2.0,1.0,1.0,0.0,20.0,0.0,1.0,0.0,16.6,0.28,1.6,0.08,34.0,95.0,35.8,444.0,72.0,16.0,26.7,118.0,20.3,27.5,213.0,6.0,2.8,24.0,1.2,17.2
-Vanja Milinković-Savić,rs SRB,GK,Torino,25-349,1997,20.0,20.0,1800.0,22.0,1.1,79.0,57.0,75.9,7.0,6.0,7.0,4.0,20.0,4.0,3.0,0.0,1.0,20.0,0.0,3.0,0.0,21.3,0.24,-0.7,-0.03,145.0,510.0,28.4,763.0,87.0,48.5,41.0,149.0,94.0,71.7,244.0,18.0,7.4,33.0,1.65,16.1
-Lorenzo Montipò,it ITA,GK,Hellas Verona,26-349,1996,20.0,20.0,1800.0,32.0,1.6,105.0,73.0,69.5,3.0,4.0,13.0,2.0,10.0,1.0,0.0,1.0,0.0,20.0,0.0,2.0,1.0,26.8,0.25,-4.2,-0.21,187.0,374.0,50.0,462.0,64.0,60.4,43.5,159.0,59.7,45.7,279.0,12.0,4.3,46.0,2.3,17.4
-Juan Musso,ar ARG,GK,Atalanta,28-274,1994,14.0,14.0,1177.0,14.0,1.07,48.0,35.0,72.9,9.0,3.0,2.0,5.0,35.7,1.0,1.0,0.0,0.0,13.1,0.0,1.0,1.0,11.1,0.22,-1.9,-0.14,79.0,172.0,45.9,340.0,98.0,33.8,32.6,92.0,62.0,47.6,161.0,8.0,5.0,12.0,0.92,15.1
-Guillermo Ochoa,mx MEX,GK,Salernitana,37-206,1985,5.0,5.0,450.0,14.0,2.8,39.0,24.0,66.7,1.0,1.0,3.0,0.0,0.0,2.0,1.0,1.0,0.0,5.0,0.0,1.0,0.0,13.9,0.31,-0.1,-0.02,42.0,125.0,33.6,131.0,13.0,64.1,43.3,52.0,78.8,54.7,77.0,2.0,2.6,4.0,0.8,16.5
-André Onana,cm CMR,GK,Inter,26-308,1996,12.0,12.0,1080.0,13.0,1.08,44.0,32.0,75.0,9.0,1.0,2.0,4.0,33.3,2.0,2.0,0.0,0.0,12.0,0.0,2.0,1.0,10.6,0.2,-1.4,-0.12,57.0,147.0,38.8,400.0,57.0,29.5,31.0,88.0,33.0,36.3,159.0,7.0,4.4,3.0,0.25,12.6
-Rui Patrício,pt POR,GK,Roma,34-354,1988,20.0,20.0,1800.0,18.0,0.9,58.0,40.0,69.0,11.0,4.0,5.0,7.0,35.0,0.0,0.0,0.0,0.0,20.0,1.0,3.0,0.0,12.0,0.21,-6.0,-0.3,65.0,164.0,39.6,363.0,71.0,32.8,31.6,146.0,30.8,32.9,229.0,6.0,2.6,13.0,0.65,13.8
-Gianluca Pegolo,it ITA,GK,Sassuolo,41-316,1981,2.0,2.0,180.0,3.0,1.5,6.0,3.0,66.7,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,3.2,0.38,0.2,0.12,9.0,18.0,50.0,61.0,10.0,21.3,29.7,16.0,31.3,28.3,28.0,2.0,7.1,0.0,0.0,9.0
-Mattia Perin,it ITA,GK,Juventus,30-086,1992,7.0,6.0,588.0,4.0,0.61,24.0,19.0,87.5,2.0,3.0,1.0,4.0,66.7,2.0,1.0,1.0,0.0,6.5,0.0,0.0,0.0,7.9,0.25,3.9,0.6,24.0,71.0,33.8,198.0,36.0,27.8,30.3,41.0,39.0,35.3,99.0,2.0,2.0,9.0,1.38,17.8
-Ivan Provedel,it ITA,GK,Lazio,28-324,1994,20.0,19.0,1793.0,16.0,0.8,65.0,49.0,76.9,10.0,5.0,4.0,11.0,57.9,1.0,1.0,0.0,0.0,19.9,0.0,4.0,0.0,15.3,0.23,-0.7,-0.04,89.0,218.0,40.8,614.0,91.0,29.0,32.8,119.0,33.6,34.2,266.0,7.0,2.6,37.0,1.86,18.0
-Ionuț Radu,ro ROU,GK,Cremonese,25-252,1997,9.0,9.0,810.0,19.0,2.11,64.0,45.0,75.0,0.0,3.0,6.0,1.0,11.1,3.0,3.0,0.0,0.0,9.0,0.0,3.0,0.0,21.0,0.29,2.0,0.22,38.0,143.0,26.6,265.0,34.0,41.1,37.3,67.0,50.7,46.3,107.0,6.0,5.6,9.0,1.0,14.5
-Luigi Sepe,it ITA,GK,Salernitana,31-272,1991,15.0,15.0,1350.0,24.0,1.6,76.0,50.0,72.4,4.0,5.0,6.0,3.0,20.0,5.0,3.0,2.0,0.0,15.0,0.0,0.0,0.0,26.0,0.28,2.0,0.14,57.0,227.0,25.1,414.0,72.0,39.9,36.1,134.0,46.3,40.6,199.0,15.0,7.5,11.0,0.73,14.2
-Marco Silvestri,it ITA,GK,Udinese,31-339,1991,20.0,20.0,1800.0,22.0,1.1,66.0,45.0,69.7,7.0,8.0,5.0,6.0,30.0,2.0,2.0,0.0,0.0,20.0,1.0,2.0,1.0,22.6,0.32,1.6,0.08,83.0,211.0,39.3,432.0,74.0,34.7,33.3,154.0,39.6,36.6,263.0,5.0,1.9,10.0,0.5,13.8
-Łukasz Skorupski,pl POL,GK,Bologna,31-275,1991,20.0,20.0,1800.0,30.0,1.5,88.0,60.0,71.6,7.0,5.0,8.0,3.0,15.0,5.0,5.0,0.0,0.0,20.0,1.0,4.0,2.0,28.7,0.28,0.7,0.04,86.0,220.0,39.1,545.0,116.0,30.6,32.1,141.0,37.6,33.9,280.0,18.0,6.4,17.0,0.85,14.1
-Marco Sportiello,it ITA,GK,Atalanta,30-270,1992,7.0,6.0,623.0,9.0,1.3,26.0,17.0,65.4,2.0,2.0,2.0,2.0,33.3,0.0,0.0,0.0,0.0,6.9,1.0,2.0,0.0,7.8,0.3,-1.2,-0.17,31.0,77.0,40.3,181.0,45.0,19.3,28.5,61.0,68.9,48.9,86.0,7.0,8.1,14.0,2.02,19.9
-Wojciech Szczęsny,pl POL,GK,Juventus,32-292,1990,14.0,14.0,1212.0,13.0,0.97,44.0,31.0,70.5,9.0,2.0,3.0,8.0,57.1,0.0,0.0,0.0,0.0,13.5,0.0,3.0,0.0,12.5,0.29,-0.5,-0.03,56.0,138.0,40.6,324.0,59.0,34.9,35.2,62.0,40.3,38.9,159.0,4.0,2.5,10.0,0.74,15.1
-Ciprian Tătărușanu,ro ROU,GK,Milan,36-360,1986,13.0,13.0,1170.0,21.0,1.62,50.0,30.0,62.0,7.0,3.0,3.0,2.0,15.4,2.0,2.0,0.0,0.0,13.0,2.0,3.0,1.0,15.1,0.27,-4.9,-0.38,65.0,141.0,46.1,401.0,66.0,30.7,32.5,52.0,34.6,34.7,134.0,8.0,6.0,10.0,0.77,15.1
-Pietro Terracciano,it ITA,GK,Fiorentina,32-333,1990,17.0,17.0,1530.0,24.0,1.41,55.0,32.0,60.0,5.0,4.0,8.0,2.0,11.8,2.0,2.0,0.0,0.0,17.0,0.0,2.0,1.0,19.2,0.31,-3.8,-0.22,84.0,212.0,39.6,507.0,66.0,32.1,32.9,110.0,44.5,40.4,159.0,9.0,5.7,34.0,2.0,18.9
-Guglielmo Vicario,it ITA,GK,Empoli,26-120,1996,20.0,20.0,1800.0,24.0,1.2,86.0,61.0,73.3,6.0,8.0,6.0,7.0,35.0,3.0,1.0,1.0,1.0,20.0,0.0,4.0,0.0,25.0,0.27,1.0,0.05,101.0,307.0,32.9,740.0,112.0,34.6,34.3,107.0,47.7,42.5,412.0,25.0,6.1,10.0,0.5,10.7
-Jeroen Zoet,nl NED,GK,Spezia,32-029,1991,3.0,2.0,154.0,1.0,0.58,6.0,5.0,83.3,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.7,0.11,-0.3,-0.19,15.0,43.0,34.9,57.0,5.0,63.2,41.7,8.0,87.5,56.6,24.0,1.0,4.2,3.0,1.74,15.7
-Petar Zovko,ba BIH,GK,Spezia,20-316,2002,1.0,0.0,74.0,2.0,2.43,3.0,1.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,1.7,0.55,-0.3,-0.42,7.0,21.0,33.3,23.0,3.0,47.8,35.1,13.0,76.9,51.1,24.0,1.0,4.2,2.0,2.47,17.0
+Emil Audero,it ITA,GK,Sampdoria,26-023,1997,21.0,21.0,1890.0,36.0,1.71,103.0,67.0,69.9,2.0,4.0,15.0,2.0,9.5,7.0,5.0,2.0,0.0,21.0,0.0,3.0,2.0,28.9,0.22,-5.1,-0.24,124.0,366.0,33.9,596.0,86.0,45.6,39.4,161.0,58.4,44.8,283.0,20.0,7.1,20.0,0.95,14.7
+Marco Carnesecchi,it ITA,GK,Cremonese,22-224,2000,12.0,12.0,1080.0,18.0,1.5,63.0,46.0,73.0,0.0,5.0,7.0,2.0,16.7,1.0,1.0,0.0,0.0,12.0,1.0,3.0,1.0,18.7,0.29,1.7,0.14,51.0,180.0,28.3,297.0,65.0,45.1,38.9,86.0,53.5,46.1,158.0,13.0,8.2,8.0,0.67,12.9
+Andrea Consigli,it ITA,GK,Sassuolo,36-014,1987,19.0,19.0,1710.0,28.0,1.47,60.0,32.0,58.3,6.0,4.0,9.0,6.0,31.6,3.0,3.0,0.0,0.0,19.0,0.0,3.0,0.0,23.3,0.35,-4.7,-0.25,112.0,269.0,41.6,686.0,99.0,31.0,34.3,172.0,32.6,33.6,255.0,16.0,6.3,23.0,1.21,15.2
+Michele Di Gregorio,it ITA,GK,Monza,25-198,1997,21.0,21.0,1890.0,30.0,1.43,90.0,61.0,66.7,7.0,5.0,9.0,6.0,28.6,0.0,0.0,0.0,0.0,21.0,0.0,3.0,1.0,29.2,0.33,0.2,0.01,90.0,261.0,34.5,707.0,133.0,31.4,32.9,124.0,31.5,31.4,286.0,10.0,3.5,16.0,0.76,13.3
+Bartłomiej Drągowski,pl POL,GK,Spezia,25-175,1997,19.0,19.0,1662.0,32.0,1.73,100.0,68.0,69.0,4.0,4.0,11.0,3.0,15.8,2.0,1.0,0.0,1.0,18.5,1.0,4.0,0.0,28.1,0.27,-3.9,-0.21,85.0,268.0,31.7,503.0,92.0,39.4,34.6,109.0,64.2,48.0,251.0,9.0,3.6,24.0,1.3,15.3
+Wladimiro Falcone,it ITA,GK,Lecce,27-304,1995,21.0,21.0,1890.0,24.0,1.14,89.0,66.0,76.4,5.0,8.0,8.0,3.0,14.3,3.0,3.0,0.0,0.0,21.0,1.0,4.0,1.0,24.0,0.24,1.0,0.05,106.0,400.0,26.5,506.0,83.0,54.5,41.3,163.0,76.1,51.7,316.0,15.0,4.7,20.0,0.95,12.5
+Pierluigi Gollini,it ITA,GK,Fiorentina,27-329,1995,3.0,3.0,270.0,2.0,0.67,8.0,6.0,75.0,1.0,2.0,0.0,2.0,66.7,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,1.7,0.21,-0.3,-0.1,13.0,38.0,34.2,115.0,17.0,27.0,32.4,11.0,63.6,49.3,24.0,1.0,4.2,0.0,0.0,9.3
+Samir Handanović,si SVN,GK,Inter,38-211,1984,8.0,8.0,720.0,13.0,1.62,36.0,24.0,63.9,4.0,0.0,4.0,2.0,25.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,1.0,10.6,0.3,-1.4,-0.17,27.0,52.0,51.9,266.0,46.0,18.8,26.1,45.0,4.4,24.0,79.0,2.0,2.5,5.0,0.63,14.6
+Mike Maignan,fr FRA,GK,Milan,27-222,1995,7.0,7.0,630.0,8.0,1.14,22.0,13.0,68.2,4.0,2.0,1.0,2.0,28.6,2.0,1.0,1.0,0.0,7.0,0.0,1.0,0.0,8.2,0.29,0.2,0.03,29.0,74.0,39.2,220.0,32.0,30.5,33.5,18.0,38.9,40.4,65.0,5.0,7.7,6.0,0.86,12.9
+Luís Maximiano,pt POR,GK,Lazio,24-036,1999,1.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0
+Alex Meret,it ITA,GK,Napoli,25-325,1997,21.0,21.0,1890.0,15.0,0.71,56.0,40.0,75.0,18.0,2.0,1.0,9.0,42.9,2.0,1.0,1.0,0.0,21.0,0.0,1.0,0.0,17.0,0.27,2.0,0.09,35.0,98.0,35.7,468.0,77.0,15.6,26.7,128.0,19.5,27.1,221.0,6.0,2.7,24.0,1.14,17.2
+Vanja Milinković-Savić,rs SRB,GK,Torino,25-355,1997,21.0,21.0,1890.0,22.0,1.05,82.0,60.0,76.8,8.0,6.0,7.0,5.0,23.8,4.0,3.0,0.0,1.0,21.0,0.0,3.0,0.0,21.9,0.23,-0.1,-0.01,148.0,524.0,28.2,788.0,95.0,48.0,40.9,155.0,94.2,71.7,263.0,18.0,6.8,35.0,1.67,16.3
+Lorenzo Montipò,it ITA,GK,Hellas Verona,26-355,1996,21.0,21.0,1890.0,33.0,1.57,107.0,74.0,69.2,3.0,5.0,13.0,2.0,9.5,1.0,0.0,1.0,0.0,21.0,0.0,2.0,1.0,27.6,0.25,-4.4,-0.21,206.0,413.0,49.9,497.0,65.0,62.2,44.1,168.0,61.9,46.7,294.0,15.0,5.1,46.0,2.19,16.8
+Juan Musso,ar ARG,GK,Atalanta,28-280,1994,15.0,15.0,1267.0,15.0,1.07,56.0,42.0,75.0,9.0,3.0,3.0,5.0,33.3,1.0,1.0,0.0,0.0,14.1,0.0,1.0,1.0,12.7,0.21,-1.3,-0.09,81.0,185.0,43.8,372.0,107.0,33.6,32.5,98.0,61.2,47.1,174.0,10.0,5.7,12.0,0.85,14.6
+Guillermo Ochoa,mx MEX,GK,Salernitana,37-212,1985,6.0,6.0,540.0,17.0,2.83,44.0,26.0,65.9,1.0,1.0,4.0,0.0,0.0,3.0,2.0,1.0,0.0,6.0,0.0,1.0,0.0,16.9,0.32,-0.1,-0.01,43.0,134.0,32.1,155.0,16.0,58.7,41.9,60.0,71.7,52.2,86.0,3.0,3.5,4.0,0.67,15.7
+André Onana,cm CMR,GK,Inter,26-314,1996,13.0,13.0,1170.0,13.0,1.0,44.0,32.0,75.0,10.0,1.0,2.0,5.0,38.5,2.0,2.0,0.0,0.0,13.0,0.0,2.0,1.0,10.6,0.2,-1.4,-0.11,59.0,156.0,37.8,432.0,61.0,28.9,30.7,92.0,33.7,36.9,165.0,7.0,4.2,4.0,0.31,13.2
+Rui Patrício,pt POR,GK,Roma,34-360,1988,21.0,21.0,1890.0,18.0,0.86,60.0,42.0,70.0,12.0,4.0,5.0,8.0,38.1,0.0,0.0,0.0,0.0,21.0,1.0,3.0,0.0,12.4,0.21,-5.6,-0.27,68.0,173.0,39.3,380.0,75.0,32.6,31.8,159.0,30.8,32.8,248.0,6.0,2.4,15.0,0.71,14.0
+Gianluca Pegolo,it ITA,GK,Sassuolo,41-322,1981,2.0,2.0,180.0,3.0,1.5,6.0,3.0,66.7,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,3.2,0.38,0.2,0.12,9.0,18.0,50.0,61.0,10.0,21.3,29.7,16.0,31.3,28.3,28.0,2.0,7.1,0.0,0.0,9.0
+Mattia Perin,it ITA,GK,Juventus,30-092,1992,7.0,6.0,588.0,4.0,0.61,24.0,19.0,87.5,2.0,3.0,1.0,4.0,66.7,2.0,1.0,1.0,0.0,6.5,0.0,0.0,0.0,7.9,0.25,3.9,0.6,24.0,71.0,33.8,198.0,36.0,27.8,30.3,41.0,39.0,35.3,99.0,2.0,2.0,9.0,1.38,17.8
+Ivan Provedel,it ITA,GK,Lazio,28-330,1994,21.0,20.0,1883.0,17.0,0.81,69.0,52.0,76.8,10.0,6.0,4.0,11.0,55.0,1.0,1.0,0.0,0.0,20.9,0.0,4.0,0.0,16.2,0.22,-0.8,-0.04,99.0,232.0,42.7,650.0,95.0,29.4,33.0,120.0,34.2,34.5,279.0,7.0,2.5,39.0,1.86,18.2
+Ionuț Radu,ro ROU,GK,Cremonese,25-258,1997,9.0,9.0,810.0,19.0,2.11,64.0,45.0,75.0,0.0,3.0,6.0,1.0,11.1,3.0,3.0,0.0,0.0,9.0,0.0,3.0,0.0,21.0,0.29,2.0,0.22,38.0,143.0,26.6,265.0,34.0,41.1,37.3,67.0,50.7,46.3,107.0,6.0,5.6,9.0,1.0,14.5
+Luigi Sepe,it ITA,GK,Salernitana,31-278,1991,15.0,15.0,1350.0,24.0,1.6,76.0,50.0,72.4,4.0,5.0,6.0,3.0,20.0,5.0,3.0,2.0,0.0,15.0,0.0,0.0,0.0,26.0,0.28,2.0,0.14,57.0,227.0,25.1,414.0,72.0,39.9,36.1,134.0,46.3,40.6,199.0,15.0,7.5,11.0,0.73,14.2
+Marco Silvestri,it ITA,GK,Udinese,31-345,1991,21.0,21.0,1890.0,23.0,1.1,70.0,48.0,70.0,7.0,8.0,6.0,6.0,28.6,2.0,2.0,0.0,0.0,21.0,1.0,2.0,1.0,23.9,0.31,1.9,0.09,90.0,225.0,40.0,450.0,76.0,35.8,33.6,164.0,39.0,36.1,275.0,5.0,1.8,10.0,0.48,13.7
+Łukasz Skorupski,pl POL,GK,Bologna,31-281,1991,21.0,21.0,1890.0,31.0,1.48,94.0,65.0,72.3,8.0,5.0,8.0,3.0,14.3,5.0,5.0,0.0,0.0,21.0,1.0,4.0,2.0,30.8,0.28,1.8,0.08,99.0,240.0,41.3,563.0,117.0,32.1,32.7,153.0,38.6,34.5,299.0,18.0,6.0,17.0,0.81,13.3
+Marco Sportiello,it ITA,GK,Atalanta,30-276,1992,7.0,6.0,623.0,9.0,1.3,26.0,17.0,65.4,2.0,2.0,2.0,2.0,33.3,0.0,0.0,0.0,0.0,6.9,1.0,2.0,0.0,7.8,0.3,-1.2,-0.17,31.0,77.0,40.3,181.0,45.0,19.3,28.5,61.0,68.9,48.9,86.0,7.0,8.1,14.0,2.02,19.9
+Wojciech Szczęsny,pl POL,GK,Juventus,32-298,1990,15.0,15.0,1302.0,13.0,0.9,45.0,32.0,71.1,10.0,2.0,3.0,9.0,60.0,0.0,0.0,0.0,0.0,14.5,0.0,3.0,0.0,12.7,0.28,-0.3,-0.02,62.0,147.0,42.2,340.0,60.0,34.4,35.0,72.0,41.7,38.7,178.0,4.0,2.2,12.0,0.83,15.8
+Ciprian Tătărușanu,ro ROU,GK,Milan,37-001,1986,14.0,14.0,1260.0,22.0,1.57,54.0,33.0,63.0,7.0,3.0,4.0,2.0,14.3,2.0,2.0,0.0,0.0,14.0,2.0,4.0,1.0,15.9,0.26,-5.1,-0.36,77.0,162.0,47.5,420.0,69.0,31.2,32.6,65.0,47.7,39.9,158.0,9.0,5.7,10.0,0.71,13.8
+Pietro Terracciano,it ITA,GK,Fiorentina,32-339,1990,18.0,18.0,1620.0,26.0,1.44,61.0,36.0,62.3,5.0,4.0,9.0,2.0,11.1,3.0,3.0,0.0,0.0,18.0,0.0,3.0,1.0,20.6,0.29,-4.4,-0.25,88.0,224.0,39.3,536.0,68.0,32.5,32.9,116.0,43.1,39.4,163.0,9.0,5.5,34.0,1.89,18.9
+Guglielmo Vicario,it ITA,GK,Empoli,26-126,1996,21.0,21.0,1890.0,26.0,1.24,92.0,65.0,72.8,6.0,8.0,7.0,7.0,33.3,3.0,1.0,1.0,1.0,21.0,0.0,6.0,0.0,26.4,0.27,0.4,0.02,102.0,310.0,32.9,766.0,113.0,33.8,34.0,108.0,47.2,42.4,426.0,25.0,5.9,12.0,0.57,10.9
+Jeroen Zoet,nl NED,GK,Spezia,32-035,1991,3.0,2.0,154.0,1.0,0.58,6.0,5.0,83.3,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.7,0.11,-0.3,-0.19,15.0,43.0,34.9,57.0,5.0,63.2,41.7,8.0,87.5,56.6,24.0,1.0,4.2,3.0,1.74,15.7
+Petar Zovko,ba BIH,GK,Spezia,20-322,2002,1.0,0.0,74.0,2.0,2.43,3.0,1.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,1.7,0.55,-0.3,-0.42,7.0,21.0,33.3,23.0,3.0,47.8,35.1,13.0,76.9,51.1,24.0,1.0,4.2,2.0,2.47,17.0
diff --git a/fbref_data/outfield_players.csv b/fbref_data/outfield_players.csv
index a5148b3..4671651 100644
--- a/fbref_data/outfield_players.csv
+++ b/fbref_data/outfield_players.csv
@@ -1,526 +1,542 @@
-player,nationality,position,team,age,birth_year,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,minutes_90s,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Tammy Abraham,eng ENG,FW,Roma,25-125,1997,20.0,16.0,1410.0,5.0,3.0,0.0,0.0,1.0,0.0,0.32,0.19,0.51,0.32,0.51,8.0,8.0,0.51,0.51,15.7,16.0,0.0,40.0,1.02,0.13,0.31,0.2,-3.0,-3.0,216.0,315.0,68.6,3048.0,747.0,128.0,161.0,79.5,62.0,100.0,62.0,14.0,21.0,66.7,23.0,10.0,9.0,1.0,30.0,288.0,24.0,1.0,1.0,1.0,5.0,0.0,0.0,0.0,0.0,1.0,3.0,4.0,49.0,3.12,32.0,0.0,3.0,10.0,4.0,8.0,0.51,3.0,0.0,1.0,3.0,1.0,0.0,13.0,7.0,3.0,6.0,4.0,4.0,10.0,40.0,6.0,7.0,4.0,3.0,2.0,6.0,0.0,487.0,11.0,32.0,253.0,210.0,75.0,487.0,10.0,44.0,22.7,257.0,22.0,14.0,9.0,378.0,34.0,19.0,0.0,19.0,30.0,8.0,1.0,0.0,0.0,30.0,38.0,36.0,51.4
-Francesco Acerbi,it ITA,DF,Inter,34-359,1988,13.0,11.0,1020.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.09,0.09,0.0,0.09,0.3,0.3,0.03,0.03,11.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.3,-0.3,587.0,669.0,87.7,11201.0,3517.0,208.0,225.0,92.4,299.0,333.0,89.8,70.0,94.0,74.5,6.0,34.0,3.0,0.0,39.0,631.0,38.0,25.0,0.0,9.0,3.0,0.0,0.0,0.0,0.0,7.0,0.0,2.0,12.0,1.06,10.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,12.0,2.0,0.0,9.0,11.0,81.8,2.0,7.0,4.0,3.0,10.0,37.0,0.0,762.0,97.0,345.0,387.0,34.0,6.0,762.0,0.0,2.0,0.0,418.0,12.0,10.0,1.0,499.0,7.0,1.0,0.0,8.0,7.0,1.0,0.0,0.0,0.0,57.0,30.0,19.0,61.2
-Yacine Adli,fr FRA,"MF,FW",Milan,22-190,2000,4.0,1.0,116.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.3,2.0,0.0,100.0,1.55,0.0,0.0,0.04,-0.1,-0.1,38.0,60.0,63.3,666.0,216.0,19.0,24.0,79.2,12.0,18.0,66.7,5.0,11.0,45.5,1.0,4.0,2.0,0.0,8.0,58.0,2.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,0.78,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,4.0,0.0,2.0,2.0,100.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,78.0,1.0,11.0,38.0,32.0,1.0,78.0,1.0,1.0,100.0,44.0,5.0,4.0,0.0,58.0,2.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0
-Michel Aebischer,ch SUI,"FW,MF",Bologna,26-029,1997,17.0,8.0,767.0,1.0,0.0,0.0,0.0,3.0,0.0,0.12,0.0,0.12,0.12,0.12,1.1,1.1,0.13,0.13,8.5,2.0,1.0,20.0,0.23,0.1,0.5,0.11,-0.1,-0.1,276.0,338.0,81.7,4231.0,1254.0,152.0,170.0,89.4,97.0,113.0,85.8,20.0,33.0,60.6,8.0,19.0,1.0,0.0,21.0,322.0,13.0,5.0,0.0,2.0,9.0,2.0,0.0,2.0,0.0,5.0,3.0,9.0,19.0,2.23,13.0,2.0,1.0,2.0,1.0,2.0,0.23,0.0,0.0,0.0,1.0,1.0,0.0,3.0,1.0,1.0,0.0,2.0,1.0,5.0,20.0,4.0,11.0,2.0,9.0,3.0,5.0,0.0,400.0,8.0,79.0,193.0,129.0,16.0,400.0,1.0,4.0,25.0,235.0,7.0,6.0,2.0,304.0,15.0,10.0,0.0,10.0,14.0,5.0,1.0,1.0,0.0,42.0,5.0,8.0,38.5
-Felix Afena-Gyan,gh GHA,"FW,MF",Cremonese,20-016,2003,11.0,2.0,327.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.31,0.31,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-1.1,-1.1,59.0,76.0,77.6,763.0,105.0,40.0,45.0,88.9,14.0,17.0,82.4,2.0,4.0,50.0,1.0,3.0,0.0,0.0,6.0,73.0,3.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,6.0,1.64,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,120.0,5.0,18.0,38.0,66.0,15.0,120.0,2.0,8.0,25.0,74.0,11.0,5.0,1.0,85.0,16.0,8.0,0.0,8.0,3.0,4.0,0.0,0.0,0.0,14.0,8.0,15.0,34.8
-Kevin Agudelo,co COL,"MF,FW",Spezia,24-082,1998,19.0,14.0,1275.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.06,0.06,14.2,4.0,0.0,26.7,0.28,0.0,0.0,0.06,-0.8,-0.8,285.0,406.0,70.2,4233.0,1496.0,166.0,208.0,79.8,87.0,115.0,75.7,17.0,32.0,53.1,14.0,35.0,14.0,1.0,58.0,388.0,13.0,1.0,2.0,1.0,21.0,5.0,3.0,2.0,0.0,4.0,5.0,17.0,28.0,1.98,20.0,1.0,2.0,3.0,2.0,2.0,0.14,1.0,0.0,0.0,0.0,1.0,0.0,43.0,20.0,12.0,19.0,12.0,16.0,40.0,40.0,24.0,25.0,4.0,21.0,7.0,2.0,0.0,604.0,7.0,85.0,287.0,249.0,27.0,604.0,16.0,43.0,37.2,344.0,40.0,35.0,9.0,370.0,37.0,32.0,0.0,23.0,23.0,2.0,0.0,0.0,0.0,81.0,9.0,19.0,32.1
-Ola Aina,ng NGA,DF,Torino,26-119,1996,11.0,7.0,586.0,1.0,0.0,0.0,0.0,3.0,0.0,0.15,0.0,0.15,0.15,0.15,0.6,0.6,0.09,0.09,6.5,3.0,0.0,50.0,0.46,0.17,0.33,0.1,0.4,0.4,270.0,362.0,74.6,4532.0,1812.0,136.0,148.0,91.9,93.0,124.0,75.0,31.0,60.0,51.7,7.0,21.0,10.0,6.0,32.0,284.0,75.0,6.0,0.0,1.0,21.0,1.0,0.0,0.0,0.0,68.0,3.0,10.0,17.0,2.61,14.0,1.0,2.0,0.0,0.0,2.0,0.31,1.0,0.0,1.0,0.0,0.0,0.0,13.0,10.0,3.0,7.0,3.0,6.0,10.0,60.0,4.0,8.0,1.0,7.0,7.0,17.0,0.0,445.0,14.0,93.0,211.0,148.0,9.0,445.0,12.0,28.0,42.9,234.0,24.0,19.0,3.0,258.0,8.0,4.0,0.0,10.0,11.0,1.0,0.0,1.0,0.0,38.0,8.0,6.0,57.1
-Emanuel Aiwum,at AUT,DF,Cremonese,22-041,2000,14.0,11.0,1012.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.01,0.01,11.2,1.0,0.0,33.3,0.09,0.0,0.0,0.05,-0.2,-0.2,395.0,516.0,76.6,6755.0,2512.0,181.0,200.0,90.5,177.0,220.0,80.5,29.0,68.0,42.6,4.0,34.0,7.0,1.0,39.0,437.0,77.0,17.0,1.0,4.0,4.0,0.0,0.0,0.0,0.0,55.0,2.0,10.0,10.0,0.89,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,26.0,25.0,16.0,2.0,24.0,32.0,75.0,8.0,15.0,9.0,6.0,19.0,36.0,1.0,645.0,68.0,326.0,284.0,45.0,5.0,645.0,1.0,6.0,16.7,313.0,17.0,10.0,0.0,319.0,6.0,3.0,0.0,12.0,7.0,0.0,0.0,0.0,0.0,78.0,17.0,7.0,70.8
-Jean-Daniel Akpa-Akpro,ci CIV,MF,Empoli,30-116,1992,10.0,5.0,474.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,5.3,1.0,0.0,25.0,0.19,0.0,0.0,0.04,-0.2,-0.2,115.0,151.0,76.2,1674.0,693.0,55.0,67.0,82.1,40.0,48.0,83.3,7.0,10.0,70.0,1.0,9.0,2.0,1.0,15.0,149.0,2.0,2.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,8.0,1.52,4.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,14.0,9.0,7.0,3.0,6.0,8.0,75.0,2.0,20.0,4.0,16.0,6.0,9.0,0.0,240.0,11.0,70.0,125.0,49.0,8.0,240.0,4.0,10.0,40.0,116.0,6.0,7.0,3.0,135.0,11.0,8.0,1.0,13.0,6.0,0.0,0.0,0.0,0.0,25.0,6.0,3.0,66.7
-Luis Alberto,es ESP,MF,Lazio,30-129,1992,17.0,9.0,873.0,4.0,3.0,1.0,1.0,1.0,0.0,0.41,0.31,0.72,0.31,0.62,1.9,1.1,0.19,0.11,9.7,6.0,2.0,40.0,0.62,0.2,0.5,0.07,2.1,1.9,529.0,653.0,81.0,8313.0,2944.0,299.0,333.0,89.8,166.0,193.0,86.0,46.0,91.0,50.5,24.0,53.0,19.0,0.0,84.0,572.0,78.0,25.0,7.0,2.0,52.0,40.0,19.0,17.0,0.0,2.0,3.0,10.0,36.0,3.72,24.0,12.0,0.0,0.0,0.0,6.0,0.62,5.0,1.0,0.0,0.0,0.0,0.0,18.0,9.0,6.0,9.0,3.0,8.0,18.0,44.4,10.0,9.0,1.0,8.0,4.0,1.0,0.0,739.0,12.0,94.0,404.0,246.0,20.0,738.0,2.0,12.0,16.7,394.0,32.0,28.0,5.0,538.0,15.0,10.0,0.0,6.0,3.0,2.0,0.0,0.0,0.0,60.0,3.0,5.0,37.5
-Agustín Álvarez Martínez,uy URU,"FW,MF",Sassuolo,21-261,2001,15.0,1.0,282.0,1.0,1.0,0.0,0.0,1.0,0.0,0.32,0.32,0.64,0.32,0.64,1.3,1.3,0.41,0.41,3.1,3.0,0.0,27.3,0.96,0.09,0.33,0.12,-0.3,-0.3,50.0,63.0,79.4,685.0,114.0,33.0,40.0,82.5,9.0,13.0,69.2,4.0,5.0,80.0,1.0,3.0,2.0,0.0,5.0,59.0,4.0,0.0,0.0,1.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,6.0,1.91,2.0,0.0,1.0,2.0,1.0,2.0,0.64,1.0,0.0,0.0,1.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,0.0,2.0,0.0,2.0,3.0,1.0,2.0,3.0,2.0,0.0,114.0,4.0,10.0,54.0,52.0,11.0,114.0,3.0,10.0,30.0,57.0,2.0,0.0,1.0,73.0,13.0,7.0,0.0,6.0,3.0,2.0,0.0,0.0,0.0,15.0,8.0,8.0,50.0
-Kelvin Amian,fr FRA,DF,Spezia,24-361,1998,13.0,9.0,869.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.1,0.1,0.0,0.1,0.5,0.5,0.05,0.05,9.7,1.0,1.0,12.5,0.1,0.0,0.0,0.06,-0.5,-0.5,310.0,413.0,75.1,5167.0,2201.0,157.0,183.0,85.8,126.0,165.0,76.4,22.0,46.0,47.8,6.0,26.0,5.0,3.0,33.0,323.0,89.0,9.0,1.0,2.0,7.0,0.0,0.0,0.0,0.0,80.0,1.0,10.0,11.0,1.14,9.0,0.0,0.0,1.0,0.0,1.0,0.1,0.0,0.0,0.0,1.0,0.0,0.0,20.0,11.0,12.0,3.0,5.0,5.0,6.0,83.3,1.0,10.0,5.0,5.0,9.0,29.0,1.0,514.0,41.0,196.0,193.0,126.0,16.0,514.0,3.0,7.0,42.9,223.0,17.0,9.0,1.0,252.0,9.0,5.0,0.0,16.0,2.0,1.0,0.0,0.0,0.0,38.0,16.0,18.0,47.1
-Bruno Amione,ar ARG,DF,Hellas Verona,21-032,2002,1.0,1.0,58.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,16.0,68.8,167.0,40.0,6.0,6.0,100.0,5.0,7.0,71.4,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,0.0,4.0,0.0,20.0,9.0,17.0,4.0,0.0,0.0,20.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
-Bruno Amione,ar ARG,DF,Sampdoria,21-032,2002,9.0,9.0,700.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.13,0.13,0.0,0.13,0.2,0.2,0.03,0.03,7.8,1.0,0.0,25.0,0.13,0.0,0.0,0.05,-0.2,-0.2,294.0,382.0,77.0,5234.0,2029.0,118.0,138.0,85.5,153.0,184.0,83.2,22.0,44.0,50.0,2.0,6.0,3.0,1.0,21.0,333.0,47.0,15.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,32.0,2.0,10.0,6.0,0.77,5.0,0.0,0.0,1.0,0.0,1.0,0.13,0.0,0.0,0.0,1.0,0.0,0.0,21.0,12.0,16.0,5.0,0.0,10.0,14.0,71.4,4.0,9.0,3.0,6.0,10.0,17.0,1.0,465.0,33.0,259.0,170.0,40.0,11.0,465.0,0.0,2.0,0.0,224.0,2.0,4.0,0.0,234.0,8.0,0.0,0.0,10.0,4.0,0.0,0.0,1.0,0.0,39.0,26.0,15.0,63.4
-Ethan Ampadu,wls WAL,"DF,MF",Spezia,22-143,2000,15.0,15.0,1270.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.07,0.07,0.0,0.07,0.9,0.9,0.07,0.07,14.1,4.0,0.0,33.3,0.28,0.0,0.0,0.08,-0.9,-0.9,529.0,709.0,74.6,10120.0,4208.0,199.0,240.0,82.9,265.0,314.0,84.4,60.0,126.0,47.6,8.0,64.0,9.0,4.0,80.0,641.0,63.0,29.0,1.0,11.0,10.0,0.0,0.0,0.0,0.0,34.0,5.0,11.0,27.0,1.91,23.0,0.0,0.0,2.0,1.0,4.0,0.28,4.0,0.0,0.0,0.0,0.0,0.0,41.0,23.0,17.0,20.0,4.0,10.0,17.0,58.8,7.0,27.0,11.0,16.0,16.0,28.0,0.0,865.0,62.0,319.0,459.0,98.0,13.0,865.0,2.0,4.0,50.0,432.0,9.0,8.0,0.0,478.0,8.0,3.0,0.0,22.0,12.0,1.0,0.0,1.0,0.0,102.0,33.0,19.0,63.5
-Sofyan Amrabat,ma MAR,MF,Fiorentina,26-167,1996,17.0,13.0,1075.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,11.9,2.0,0.0,28.6,0.17,0.0,0.0,0.03,-0.2,-0.2,742.0,831.0,89.3,15130.0,4012.0,242.0,267.0,90.6,367.0,393.0,93.4,124.0,150.0,82.7,7.0,102.0,11.0,5.0,113.0,779.0,50.0,45.0,0.0,12.0,12.0,0.0,0.0,0.0,0.0,4.0,2.0,9.0,22.0,1.84,21.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,13.0,10.0,5.0,5.0,8.0,13.0,61.5,5.0,12.0,3.0,9.0,14.0,8.0,1.0,912.0,20.0,137.0,628.0,161.0,3.0,912.0,6.0,12.0,50.0,631.0,19.0,17.0,0.0,676.0,16.0,13.0,0.0,28.0,16.0,0.0,0.0,0.0,0.0,85.0,4.0,7.0,36.4
-Felipe Anderson,br BRA,FW,Lazio,29-295,1993,20.0,19.0,1607.0,6.0,2.0,0.0,0.0,1.0,0.0,0.34,0.11,0.45,0.34,0.45,4.1,4.1,0.23,0.23,17.9,12.0,0.0,54.5,0.67,0.27,0.5,0.18,1.9,1.9,538.0,699.0,77.0,7754.0,1714.0,338.0,397.0,85.1,158.0,196.0,80.6,29.0,50.0,58.0,29.0,33.0,22.0,3.0,62.0,677.0,20.0,2.0,1.0,5.0,21.0,3.0,1.0,2.0,0.0,7.0,2.0,20.0,57.0,3.19,47.0,1.0,6.0,2.0,1.0,9.0,0.5,5.0,0.0,3.0,1.0,0.0,0.0,39.0,24.0,11.0,24.0,4.0,13.0,29.0,44.8,16.0,31.0,2.0,29.0,10.0,14.0,0.0,919.0,13.0,108.0,420.0,406.0,76.0,919.0,27.0,52.0,51.9,488.0,48.0,35.0,17.0,680.0,47.0,30.0,0.0,22.0,19.0,4.0,0.0,0.0,0.0,71.0,6.0,15.0,28.6
-Janis Antiste,fr FRA,FW,Sassuolo,20-170,2002,2.0,0.0,52.0,1.0,0.0,0.0,0.0,0.0,0.0,1.73,0.0,1.73,1.73,1.73,0.2,0.2,0.31,0.31,0.6,1.0,0.0,100.0,1.73,1.0,1.0,0.18,0.8,0.8,13.0,18.0,72.2,159.0,43.0,8.0,11.0,72.7,4.0,5.0,80.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,0.0,7.0,9.0,7.0,1.0,23.0,0.0,1.0,0.0,14.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,66.7
-Marcos Antônio,br BRA,MF,Lazio,22-236,2000,11.0,3.0,311.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,184.0,206.0,89.3,2643.0,697.0,111.0,119.0,93.3,52.0,60.0,86.7,12.0,16.0,75.0,0.0,19.0,1.0,0.0,14.0,204.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.58,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,5.0,9.0,55.6,4.0,2.0,0.0,2.0,3.0,11.0,0.0,245.0,14.0,61.0,162.0,23.0,0.0,245.0,1.0,2.0,50.0,143.0,0.0,2.0,0.0,180.0,5.0,3.0,0.0,6.0,11.0,0.0,0.0,0.0,0.0,22.0,0.0,1.0,0.0
-Valentin Antov,bg BUL,DF,Monza,22-087,2000,4.0,1.0,172.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,92.0,111.0,82.9,1648.0,862.0,42.0,49.0,85.7,39.0,44.0,88.6,10.0,16.0,62.5,1.0,9.0,2.0,0.0,9.0,101.0,10.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,2.0,1.05,2.0,0.0,0.0,0.0,0.0,1.0,0.52,1.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,1.0,3.0,33.3,2.0,4.0,3.0,1.0,0.0,6.0,1.0,131.0,18.0,65.0,54.0,12.0,0.0,131.0,1.0,1.0,100.0,58.0,0.0,2.0,0.0,76.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,14.0,3.0,7.0,30.0
-Marko Arnautović,at AUT,FW,Bologna,33-291,1989,14.0,14.0,1189.0,8.0,0.0,3.0,3.0,4.0,0.0,0.61,0.0,0.61,0.38,0.38,5.7,3.3,0.43,0.25,13.2,10.0,0.0,47.6,0.76,0.24,0.5,0.16,2.3,1.7,257.0,364.0,70.6,3648.0,648.0,145.0,188.0,77.1,82.0,105.0,78.1,11.0,20.0,55.0,19.0,13.0,12.0,1.0,28.0,327.0,31.0,0.0,2.0,0.0,8.0,0.0,0.0,0.0,0.0,3.0,6.0,12.0,34.0,2.57,28.0,0.0,2.0,2.0,2.0,3.0,0.23,2.0,0.0,1.0,0.0,0.0,0.0,8.0,5.0,2.0,4.0,2.0,1.0,4.0,25.0,3.0,7.0,1.0,6.0,2.0,8.0,0.0,479.0,12.0,31.0,251.0,202.0,45.0,476.0,7.0,17.0,41.2,270.0,11.0,10.0,6.0,380.0,30.0,16.0,0.0,18.0,13.0,10.0,0.0,0.0,0.0,27.0,7.0,10.0,41.2
-Tolgay Arslan,de GER,MF,Udinese,32-172,1990,19.0,9.0,756.0,1.0,0.0,0.0,0.0,1.0,0.0,0.12,0.0,0.12,0.12,0.12,1.4,1.4,0.17,0.17,8.4,5.0,1.0,26.3,0.6,0.05,0.2,0.07,-0.4,-0.4,288.0,361.0,79.8,5244.0,1575.0,129.0,149.0,86.6,102.0,121.0,84.3,43.0,60.0,71.7,10.0,28.0,13.0,2.0,47.0,334.0,27.0,14.0,0.0,9.0,20.0,8.0,3.0,1.0,0.0,5.0,0.0,10.0,25.0,2.98,17.0,3.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,7.0,7.0,1.0,5.0,12.0,41.7,7.0,10.0,0.0,10.0,7.0,9.0,0.0,471.0,10.0,77.0,240.0,156.0,19.0,471.0,7.0,20.0,35.0,283.0,29.0,17.0,10.0,315.0,19.0,12.0,0.0,11.0,20.0,0.0,0.0,0.0,0.0,41.0,4.0,2.0,66.7
-Arthur,br BRA,FW,Fiorentina,24-285,1998,15.0,6.0,633.0,3.0,1.0,1.0,1.0,1.0,0.0,0.43,0.14,0.57,0.28,0.43,2.9,2.1,0.41,0.3,7.0,8.0,0.0,36.4,1.14,0.09,0.25,0.1,0.1,-0.1,96.0,131.0,73.3,1247.0,202.0,62.0,75.0,82.7,20.0,24.0,83.3,5.0,7.0,71.4,7.0,1.0,5.0,0.0,11.0,120.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,17.0,2.41,13.0,0.0,1.0,2.0,1.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1.0,1.0,4.0,4.0,6.0,66.7,2.0,5.0,0.0,5.0,0.0,3.0,0.0,228.0,3.0,12.0,76.0,142.0,48.0,227.0,6.0,12.0,50.0,125.0,5.0,1.0,4.0,167.0,33.0,8.0,0.0,8.0,7.0,1.0,0.0,0.0,0.0,14.0,21.0,23.0,47.7
-Santiago Ascacíbar,ar ARG,MF,Cremonese,25-344,1997,13.0,7.0,727.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,8.1,3.0,0.0,21.4,0.37,0.0,0.0,0.03,-0.4,-0.4,358.0,435.0,82.3,6100.0,2189.0,182.0,207.0,87.9,135.0,145.0,93.1,34.0,56.0,60.7,8.0,50.0,7.0,2.0,41.0,412.0,21.0,11.0,0.0,4.0,5.0,5.0,0.0,3.0,0.0,5.0,2.0,9.0,25.0,3.09,17.0,1.0,0.0,7.0,0.0,3.0,0.37,1.0,0.0,0.0,2.0,0.0,0.0,30.0,14.0,18.0,10.0,2.0,15.0,32.0,46.9,17.0,14.0,2.0,12.0,13.0,11.0,0.0,554.0,26.0,178.0,280.0,100.0,4.0,554.0,4.0,9.0,44.4,254.0,1.0,3.0,0.0,314.0,8.0,4.0,0.0,11.0,9.0,0.0,0.0,0.0,0.0,62.0,10.0,20.0,33.3
-Kristoffer Askildsen,no NOR,MF,Lecce,22-026,2001,14.0,6.0,516.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.07,0.07,5.7,3.0,1.0,33.3,0.52,0.0,0.0,0.05,-0.4,-0.4,120.0,187.0,64.2,2286.0,804.0,55.0,72.0,76.4,40.0,61.0,65.6,20.0,39.0,51.3,5.0,17.0,2.0,0.0,18.0,156.0,30.0,11.0,0.0,7.0,19.0,15.0,7.0,6.0,0.0,2.0,1.0,5.0,13.0,2.27,7.0,4.0,0.0,0.0,2.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,3.0,2.0,3.0,6.0,50.0,3.0,10.0,2.0,8.0,8.0,5.0,0.0,247.0,13.0,47.0,129.0,74.0,6.0,247.0,1.0,4.0,25.0,99.0,9.0,2.0,1.0,119.0,8.0,3.0,0.0,10.0,6.0,1.0,0.0,1.0,0.0,31.0,12.0,13.0,48.0
-Kristjan Asllani,al ALB,MF,Inter,20-332,2002,11.0,2.0,294.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,3.3,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,196.0,226.0,86.7,3610.0,816.0,94.0,97.0,96.9,68.0,73.0,93.2,30.0,47.0,63.8,2.0,12.0,1.0,0.0,10.0,215.0,10.0,5.0,1.0,2.0,8.0,5.0,2.0,2.0,0.0,0.0,1.0,3.0,7.0,2.15,3.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,0.0,5.0,2.0,4.0,4.0,100.0,0.0,2.0,0.0,2.0,1.0,3.0,0.0,254.0,5.0,59.0,147.0,49.0,1.0,254.0,1.0,3.0,33.3,164.0,2.0,8.0,1.0,191.0,3.0,2.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,24.0,0.0,2.0,0.0
-Emil Audero,it ITA,GK,Sampdoria,26-017,1997,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,485.0,726.0,66.8,15143.0,11147.0,70.0,70.0,100.0,195.0,197.0,99.0,219.0,451.0,48.6,0.0,12.0,0.0,0.0,0.0,498.0,223.0,69.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,0.2,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,0.0,779.0,629.0,767.0,14.0,0.0,0.0,779.0,0.0,0.0,0.0,425.0,0.0,0.0,0.0,332.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,30.0,4.0,0.0,100.0
-Tommaso Augello,it ITA,DF,Sampdoria,28-158,1994,19.0,17.0,1536.0,1.0,2.0,0.0,0.0,1.0,0.0,0.06,0.12,0.18,0.06,0.18,0.2,0.2,0.01,0.01,17.1,2.0,0.0,40.0,0.12,0.2,0.5,0.04,0.8,0.8,666.0,921.0,72.3,11727.0,5008.0,301.0,334.0,90.1,288.0,397.0,72.5,65.0,124.0,52.4,20.0,44.0,27.0,17.0,57.0,730.0,190.0,26.0,0.0,4.0,79.0,2.0,0.0,2.0,0.0,162.0,1.0,36.0,35.0,2.05,28.0,4.0,1.0,1.0,0.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,0.0,8.0,6.0,6.0,1.0,1.0,3.0,7.0,42.9,4.0,11.0,4.0,7.0,7.0,29.0,1.0,1023.0,44.0,301.0,450.0,288.0,7.0,1023.0,5.0,19.0,26.3,544.0,45.0,26.0,3.0,590.0,11.0,7.0,0.0,7.0,9.0,1.0,0.0,0.0,0.0,80.0,17.0,15.0,53.1
-Kaan Ayhan,tr TUR,DF,Sassuolo,28-086,1994,10.0,5.0,545.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.1,1.0,0.0,100.0,0.17,0.0,0.0,0.01,0.0,0.0,288.0,332.0,86.7,6000.0,1702.0,84.0,87.0,96.6,154.0,167.0,92.2,48.0,72.0,66.7,0.0,20.0,0.0,0.0,15.0,311.0,20.0,15.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,5.0,0.83,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,6.0,4.0,0.0,7.0,7.0,100.0,0.0,5.0,4.0,1.0,5.0,26.0,1.0,385.0,54.0,198.0,182.0,6.0,0.0,385.0,0.0,0.0,0.0,235.0,8.0,5.0,0.0,264.0,0.0,1.0,0.0,4.0,8.0,0.0,0.0,0.0,0.0,28.0,2.0,7.0,22.2
-Jaime Báez,uy URU,DF,Cremonese,27-285,1995,2.0,1.0,96.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,32.0,48.0,66.7,640.0,379.0,8.0,10.0,80.0,13.0,17.0,76.5,7.0,14.0,50.0,2.0,7.0,2.0,2.0,4.0,44.0,4.0,2.0,0.0,0.0,9.0,2.0,0.0,1.0,0.0,0.0,0.0,2.0,5.0,4.69,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,0.0,1.0,3.0,6.0,50.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,62.0,3.0,10.0,37.0,16.0,2.0,62.0,1.0,2.0,50.0,34.0,5.0,3.0,0.0,34.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
-Nedim Bajrami,al ALB,"MF,FW",Empoli,23-341,1999,19.0,8.0,941.0,1.0,1.0,0.0,0.0,1.0,0.0,0.1,0.1,0.19,0.1,0.19,1.2,1.2,0.12,0.12,10.5,7.0,6.0,33.3,0.67,0.05,0.14,0.06,-0.2,-0.2,260.0,348.0,74.7,3968.0,1323.0,149.0,182.0,81.9,79.0,96.0,82.3,20.0,43.0,46.5,15.0,19.0,6.0,0.0,29.0,305.0,43.0,9.0,0.0,4.0,35.0,18.0,10.0,5.0,0.0,8.0,0.0,8.0,39.0,3.74,27.0,8.0,2.0,1.0,1.0,4.0,0.38,2.0,0.0,1.0,0.0,1.0,0.0,8.0,4.0,3.0,3.0,2.0,4.0,6.0,66.7,2.0,5.0,0.0,5.0,7.0,4.0,0.0,457.0,1.0,66.0,185.0,219.0,27.0,457.0,10.0,30.0,33.3,267.0,21.0,21.0,10.0,304.0,24.0,17.0,0.0,6.0,6.0,3.0,0.0,0.0,0.0,49.0,2.0,7.0,22.2
-Tommaso Baldanzi,it ITA,MF,Empoli,19-318,2003,11.0,9.0,654.0,4.0,0.0,0.0,0.0,0.0,0.0,0.55,0.0,0.55,0.55,0.55,0.9,0.9,0.13,0.13,7.3,5.0,0.0,50.0,0.69,0.4,0.8,0.09,3.1,3.1,205.0,249.0,82.3,2953.0,748.0,106.0,119.0,89.1,75.0,84.0,89.3,7.0,15.0,46.7,11.0,12.0,9.0,0.0,29.0,233.0,15.0,2.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,22.0,3.02,16.0,1.0,0.0,3.0,2.0,2.0,0.27,2.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,5.0,8.0,1.0,4.0,9.0,44.4,5.0,6.0,0.0,6.0,1.0,2.0,0.0,320.0,3.0,59.0,157.0,109.0,15.0,320.0,1.0,11.0,9.1,206.0,24.0,21.0,6.0,226.0,16.0,4.0,0.0,7.0,13.0,0.0,0.0,0.0,0.0,25.0,2.0,2.0,50.0
-Fodé Ballo-Touré,sn SEN,DF,Milan,26-032,1997,3.0,2.0,196.0,1.0,0.0,0.0,0.0,0.0,0.0,0.46,0.0,0.46,0.46,0.46,0.1,0.1,0.07,0.07,2.2,1.0,0.0,100.0,0.46,1.0,1.0,0.14,0.9,0.9,103.0,118.0,87.3,1741.0,566.0,46.0,48.0,95.8,47.0,53.0,88.7,9.0,13.0,69.2,1.0,8.0,5.0,3.0,11.0,90.0,28.0,2.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,26.0,0.0,2.0,3.0,1.38,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,4.0,0.0,3.0,3.0,100.0,0.0,3.0,2.0,1.0,1.0,1.0,0.0,146.0,3.0,26.0,69.0,52.0,4.0,146.0,1.0,6.0,16.7,58.0,5.0,2.0,0.0,76.0,2.0,3.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,16.0,3.0,1.0,75.0
-Lameck Banda,zm ZAM,"FW,MF",Lecce,22-006,2001,20.0,11.0,1017.0,1.0,1.0,0.0,0.0,3.0,0.0,0.09,0.09,0.18,0.09,0.18,1.0,1.0,0.09,0.09,11.3,6.0,0.0,33.3,0.53,0.06,0.17,0.06,0.0,0.0,152.0,246.0,61.8,2041.0,571.0,91.0,123.0,74.0,45.0,72.0,62.5,9.0,20.0,45.0,7.0,12.0,6.0,1.0,18.0,235.0,10.0,1.0,0.0,0.0,28.0,6.0,3.0,0.0,0.0,3.0,1.0,14.0,20.0,1.77,9.0,1.0,6.0,1.0,3.0,3.0,0.27,3.0,0.0,0.0,0.0,0.0,0.0,19.0,11.0,8.0,9.0,2.0,7.0,18.0,38.9,11.0,17.0,2.0,15.0,3.0,2.0,0.0,424.0,6.0,51.0,161.0,226.0,41.0,424.0,22.0,64.0,34.4,292.0,47.0,34.0,20.0,290.0,37.0,22.0,0.0,18.0,25.0,9.0,0.0,0.0,0.0,49.0,5.0,15.0,25.0
-Filippo Bandinelli,it ITA,MF,Empoli,27-312,1995,20.0,16.0,1340.0,2.0,0.0,0.0,0.0,4.0,0.0,0.13,0.0,0.13,0.13,0.13,1.4,1.4,0.09,0.09,14.9,5.0,0.0,29.4,0.34,0.12,0.4,0.08,0.6,0.6,438.0,599.0,73.1,7300.0,2194.0,207.0,243.0,85.2,176.0,213.0,82.6,37.0,81.0,45.7,23.0,33.0,24.0,16.0,56.0,549.0,47.0,7.0,1.0,4.0,59.0,9.0,3.0,5.0,0.0,30.0,3.0,27.0,41.0,2.75,36.0,1.0,0.0,2.0,1.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,0.0,33.0,20.0,11.0,14.0,8.0,9.0,17.0,52.9,8.0,11.0,3.0,8.0,8.0,26.0,0.0,777.0,35.0,179.0,367.0,243.0,19.0,777.0,6.0,22.0,27.3,430.0,25.0,24.0,5.0,495.0,24.0,21.0,0.0,30.0,31.0,0.0,0.0,0.0,0.0,79.0,5.0,12.0,29.4
-Antonín Barák,cz CZE,MF,Hellas Verona,28-063,1994,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,14.0,78.6,140.0,24.0,7.0,10.0,70.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,13.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,10.0,6.0,0.0,16.0,1.0,2.0,50.0,12.0,0.0,0.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Antonín Barák,cz CZE,MF,Fiorentina,28-063,1994,16.0,10.0,939.0,1.0,0.0,0.0,0.0,2.0,0.0,0.1,0.0,0.1,0.1,0.1,1.1,1.1,0.1,0.1,10.4,3.0,0.0,20.0,0.29,0.07,0.33,0.07,-0.1,-0.1,299.0,373.0,80.2,4630.0,972.0,163.0,178.0,91.6,104.0,132.0,78.8,22.0,34.0,64.7,12.0,34.0,7.0,0.0,36.0,363.0,9.0,2.0,2.0,2.0,6.0,0.0,0.0,0.0,0.0,2.0,1.0,11.0,20.0,1.92,16.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,3.0,4.0,5.0,2.0,7.0,28.6,5.0,7.0,1.0,6.0,2.0,8.0,0.0,468.0,9.0,50.0,237.0,186.0,35.0,468.0,8.0,21.0,38.1,287.0,21.0,17.0,3.0,341.0,22.0,12.0,0.0,6.0,9.0,1.0,0.0,0.0,0.0,37.0,9.0,18.0,33.3
-Andrea Barberis,it ITA,MF,Monza,29-055,1993,7.0,3.0,316.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.28,0.28,0.0,0.28,0.1,0.1,0.03,0.03,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,133.0,158.0,84.2,2154.0,599.0,64.0,72.0,88.9,60.0,70.0,85.7,7.0,10.0,70.0,3.0,14.0,1.0,1.0,13.0,150.0,8.0,5.0,0.0,0.0,4.0,2.0,0.0,2.0,0.0,1.0,0.0,2.0,9.0,2.57,8.0,1.0,0.0,0.0,0.0,2.0,0.57,1.0,1.0,0.0,0.0,0.0,0.0,6.0,2.0,4.0,2.0,0.0,4.0,9.0,44.4,5.0,0.0,0.0,0.0,8.0,1.0,0.0,182.0,6.0,38.0,114.0,31.0,2.0,182.0,0.0,0.0,0.0,95.0,3.0,7.0,1.0,131.0,2.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,14.0,2.0,1.0,66.7
-Nicolò Barella,it ITA,MF,Inter,25-362,1997,19.0,18.0,1520.0,5.0,5.0,0.0,0.0,4.0,0.0,0.3,0.3,0.59,0.3,0.59,2.0,2.0,0.12,0.12,16.9,8.0,1.0,50.0,0.47,0.31,0.63,0.13,3.0,3.0,689.0,861.0,80.0,10881.0,3428.0,376.0,424.0,88.7,255.0,302.0,84.4,43.0,88.0,48.9,27.0,73.0,30.0,7.0,101.0,834.0,21.0,10.0,4.0,11.0,46.0,3.0,0.0,1.0,0.0,7.0,6.0,13.0,65.0,3.85,56.0,2.0,3.0,0.0,4.0,9.0,0.53,8.0,0.0,1.0,0.0,0.0,0.0,24.0,13.0,11.0,11.0,2.0,12.0,22.0,54.5,10.0,18.0,4.0,14.0,7.0,6.0,0.0,1019.0,22.0,175.0,517.0,346.0,38.0,1019.0,15.0,33.0,45.5,677.0,43.0,42.0,6.0,767.0,29.0,23.0,0.0,21.0,27.0,5.0,0.0,0.0,0.0,99.0,14.0,7.0,66.7
-Musa Barrow,gm GAM,"FW,MF",Bologna,24-082,1998,14.0,10.0,744.0,2.0,1.0,0.0,0.0,1.0,0.0,0.24,0.12,0.36,0.24,0.36,1.3,1.3,0.15,0.15,8.3,6.0,0.0,21.4,0.73,0.07,0.33,0.05,0.7,0.7,196.0,287.0,68.3,3670.0,1004.0,92.0,105.0,87.6,58.0,83.0,69.9,36.0,73.0,49.3,16.0,15.0,8.0,6.0,15.0,242.0,43.0,8.0,1.0,9.0,50.0,28.0,10.0,16.0,0.0,5.0,2.0,8.0,29.0,3.51,15.0,9.0,2.0,1.0,2.0,2.0,0.24,1.0,1.0,0.0,0.0,0.0,0.0,7.0,2.0,4.0,2.0,1.0,3.0,5.0,60.0,2.0,12.0,0.0,12.0,0.0,2.0,0.0,390.0,2.0,42.0,169.0,184.0,12.0,390.0,5.0,24.0,20.8,218.0,22.0,16.0,5.0,264.0,16.0,10.0,0.0,9.0,10.0,1.0,0.0,0.0,0.0,40.0,2.0,13.0,13.3
-Federico Baschirotto,it ITA,DF,Lecce,26-137,1996,20.0,20.0,1800.0,2.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,1.1,1.1,0.05,0.05,20.0,2.0,0.0,20.0,0.1,0.2,1.0,0.11,0.9,0.9,594.0,806.0,73.7,12941.0,4748.0,150.0,173.0,86.7,329.0,398.0,82.7,106.0,207.0,51.2,2.0,51.0,3.0,1.0,56.0,736.0,66.0,42.0,1.0,15.0,7.0,0.0,0.0,0.0,0.0,18.0,4.0,6.0,7.0,0.35,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,16.0,17.0,3.0,0.0,5.0,6.0,83.3,1.0,24.0,16.0,8.0,23.0,100.0,0.0,1012.0,147.0,550.0,424.0,45.0,17.0,1012.0,0.0,2.0,0.0,482.0,8.0,2.0,0.0,528.0,6.0,1.0,0.0,18.0,7.0,0.0,0.0,0.0,0.0,107.0,50.0,40.0,55.6
-Toma Bašić,hr CRO,MF,Lazio,26-071,1996,14.0,4.0,373.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.11,0.11,4.1,3.0,0.0,50.0,0.72,0.0,0.0,0.07,-0.4,-0.4,155.0,213.0,72.8,2229.0,430.0,74.0,90.0,82.2,66.0,76.0,86.8,4.0,22.0,18.2,5.0,9.0,4.0,2.0,12.0,196.0,17.0,5.0,2.0,0.0,17.0,5.0,2.0,3.0,0.0,0.0,0.0,10.0,7.0,1.69,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,2.0,5.0,40.0,3.0,7.0,0.0,7.0,5.0,6.0,0.0,262.0,8.0,54.0,133.0,77.0,8.0,262.0,0.0,4.0,0.0,159.0,11.0,5.0,1.0,178.0,9.0,5.0,0.0,8.0,9.0,0.0,0.0,0.0,0.0,20.0,8.0,6.0,57.1
-Alessandro Bastoni,it ITA,DF,Inter,23-297,1999,16.0,14.0,1177.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.15,0.15,0.0,0.15,0.8,0.8,0.06,0.06,13.1,3.0,0.0,30.0,0.23,0.0,0.0,0.08,-0.8,-0.8,766.0,911.0,84.1,15409.0,5658.0,254.0,280.0,90.7,397.0,438.0,90.6,107.0,165.0,64.8,8.0,69.0,14.0,4.0,84.0,834.0,74.0,32.0,0.0,12.0,17.0,0.0,0.0,0.0,0.0,35.0,3.0,12.0,31.0,2.37,25.0,1.0,1.0,2.0,2.0,4.0,0.31,2.0,1.0,0.0,0.0,1.0,0.0,24.0,12.0,10.0,9.0,5.0,7.0,13.0,53.8,6.0,14.0,5.0,9.0,17.0,27.0,0.0,1016.0,102.0,443.0,445.0,133.0,18.0,1016.0,3.0,8.0,37.5,615.0,20.0,17.0,1.0,712.0,9.0,4.0,0.0,11.0,10.0,1.0,0.0,0.0,0.0,66.0,25.0,10.0,71.4
-Simone Bastoni,it ITA,"MF,DF",Spezia,26-091,1996,13.0,12.0,946.0,2.0,2.0,0.0,0.0,4.0,0.0,0.19,0.19,0.38,0.19,0.38,1.1,1.1,0.1,0.1,10.5,6.0,1.0,30.0,0.57,0.1,0.33,0.05,0.9,0.9,281.0,469.0,59.9,4709.0,1739.0,142.0,168.0,84.5,100.0,165.0,60.6,32.0,90.0,35.6,15.0,24.0,9.0,6.0,24.0,374.0,94.0,21.0,2.0,4.0,86.0,42.0,24.0,14.0,0.0,31.0,1.0,29.0,26.0,2.47,15.0,8.0,0.0,2.0,0.0,2.0,0.19,2.0,0.0,0.0,0.0,0.0,0.0,37.0,18.0,16.0,16.0,5.0,9.0,19.0,47.4,10.0,16.0,4.0,12.0,7.0,9.0,0.0,591.0,24.0,146.0,238.0,213.0,20.0,591.0,4.0,16.0,25.0,270.0,12.0,12.0,2.0,312.0,13.0,11.0,0.0,23.0,11.0,2.0,0.0,0.0,0.0,71.0,11.0,8.0,57.9
-Brian Bayeye,fr FRA,DF,Torino,22-219,2000,1.0,1.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,46.0,63.0,472.0,262.0,14.0,16.0,87.5,11.0,16.0,68.8,3.0,4.0,75.0,0.0,2.0,0.0,0.0,3.0,35.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,5.0,2.0,3.33,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,1.0,0.0,1.0,2.0,0.0,59.0,6.0,28.0,21.0,10.0,3.0,59.0,1.0,1.0,100.0,21.0,3.0,2.0,2.0,26.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0
-Rodrigo Becão,br BRA,DF,Udinese,27-016,1996,14.0,14.0,1232.0,1.0,1.0,0.0,0.0,5.0,0.0,0.07,0.07,0.15,0.07,0.15,0.8,0.8,0.06,0.06,13.7,3.0,0.0,42.9,0.22,0.14,0.33,0.11,0.2,0.2,566.0,722.0,78.4,10662.0,4449.0,220.0,251.0,87.6,273.0,317.0,86.1,65.0,116.0,56.0,7.0,45.0,1.0,0.0,54.0,610.0,111.0,29.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,82.0,1.0,21.0,15.0,1.1,9.0,4.0,0.0,0.0,1.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,43.0,20.0,30.0,11.0,2.0,20.0,24.0,83.3,4.0,21.0,12.0,9.0,7.0,30.0,0.0,850.0,64.0,389.0,360.0,104.0,21.0,850.0,2.0,5.0,40.0,432.0,5.0,6.0,1.0,482.0,6.0,2.0,0.0,19.0,15.0,3.0,0.0,0.0,1.0,81.0,29.0,16.0,64.4
-Julius Beck,dk DEN,MF,Spezia,17-283,2005,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,100.0,116.0,29.0,0.0,0.0,0.0,4.0,4.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,5.0,1.0,0.0,8.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,6.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Raoul Bellanova,it ITA,"DF,MF",Inter,22-263,2000,10.0,0.0,159.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.17,0.17,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.15,-0.3,-0.3,86.0,115.0,74.8,1406.0,312.0,47.0,54.0,87.0,28.0,40.0,70.0,8.0,14.0,57.1,1.0,2.0,1.0,1.0,4.0,102.0,13.0,0.0,0.0,2.0,14.0,0.0,0.0,0.0,0.0,13.0,0.0,4.0,4.0,2.24,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,1.0,0.0,2.0,3.0,66.7,1.0,2.0,1.0,1.0,3.0,5.0,0.0,143.0,8.0,39.0,53.0,51.0,4.0,143.0,1.0,4.0,25.0,85.0,8.0,6.0,0.0,89.0,2.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,7.0,2.0,0.0,100.0
-Andrea Belotti,it ITA,FW,Roma,29-046,1993,16.0,2.0,397.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.2,0.45,0.27,4.4,4.0,0.0,50.0,0.91,0.0,0.0,0.15,-2.0,-1.2,64.0,95.0,67.4,834.0,161.0,34.0,44.0,77.3,16.0,25.0,64.0,4.0,5.0,80.0,8.0,3.0,1.0,0.0,4.0,86.0,7.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,3.0,10.0,2.28,8.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,1.0,1.0,3.0,2.0,5.0,40.0,3.0,3.0,1.0,2.0,2.0,2.0,0.0,148.0,3.0,13.0,56.0,80.0,19.0,147.0,2.0,8.0,25.0,83.0,12.0,3.0,5.0,111.0,13.0,5.0,0.0,9.0,10.0,4.0,0.0,0.0,0.0,9.0,7.0,17.0,29.2
-Marco Benassi,it ITA,DF,Fiorentina,28-149,1994,2.0,1.0,93.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,91.0,105.0,86.7,2107.0,426.0,32.0,32.0,100.0,33.0,41.0,80.5,26.0,31.0,83.9,1.0,11.0,1.0,0.0,9.0,94.0,11.0,5.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,1.0,0.97,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,0.0,1.0,3.0,4.0,75.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,112.0,1.0,25.0,64.0,24.0,3.0,112.0,0.0,1.0,0.0,81.0,0.0,4.0,0.0,85.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,10.0,3.0,2.0,60.0
-Marco Benassi,it ITA,MF,Cremonese,28-149,1994,2.0,1.0,120.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.24,0.24,1.3,2.0,0.0,66.7,1.5,0.0,0.0,0.11,-0.3,-0.3,29.0,37.0,78.4,470.0,123.0,15.0,18.0,83.3,13.0,15.0,86.7,1.0,3.0,33.3,1.0,1.0,2.0,2.0,0.0,35.0,2.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,2.25,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,3.0,0.0,50.0,2.0,15.0,17.0,18.0,4.0,50.0,0.0,0.0,0.0,24.0,1.0,1.0,0.0,27.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
-Ismaël Bennacer,dz ALG,MF,Milan,25-065,1997,19.0,16.0,1413.0,1.0,1.0,0.0,0.0,5.0,0.0,0.06,0.06,0.13,0.06,0.13,0.3,0.3,0.02,0.02,15.7,2.0,2.0,28.6,0.13,0.14,0.5,0.04,0.7,0.7,867.0,1006.0,86.2,15616.0,4453.0,373.0,402.0,92.8,340.0,372.0,91.4,120.0,178.0,67.4,36.0,91.0,19.0,3.0,99.0,922.0,82.0,48.0,3.0,7.0,46.0,28.0,9.0,17.0,0.0,4.0,2.0,15.0,69.0,4.39,48.0,15.0,1.0,1.0,3.0,2.0,0.13,1.0,0.0,0.0,1.0,0.0,0.0,48.0,24.0,23.0,24.0,1.0,24.0,31.0,77.4,7.0,12.0,6.0,6.0,18.0,10.0,1.0,1172.0,22.0,226.0,751.0,215.0,6.0,1172.0,18.0,36.0,50.0,670.0,19.0,21.0,3.0,738.0,26.0,17.0,0.0,28.0,21.0,1.0,0.0,0.0,0.0,150.0,17.0,16.0,51.5
-Domenico Berardi,it ITA,FW,Sassuolo,28-187,1994,12.0,9.0,824.0,4.0,3.0,2.0,3.0,4.0,0.0,0.44,0.33,0.76,0.22,0.55,4.4,2.0,0.48,0.22,9.2,5.0,3.0,13.5,0.55,0.05,0.4,0.05,-0.4,0.0,260.0,389.0,66.8,4923.0,1386.0,120.0,148.0,81.1,94.0,137.0,68.6,38.0,69.0,55.1,20.0,17.0,24.0,4.0,50.0,355.0,33.0,9.0,5.0,17.0,38.0,21.0,13.0,5.0,0.0,3.0,1.0,16.0,43.0,4.7,33.0,6.0,1.0,2.0,1.0,4.0,0.44,4.0,0.0,0.0,0.0,0.0,0.0,11.0,9.0,5.0,3.0,3.0,6.0,18.0,33.3,12.0,2.0,0.0,2.0,7.0,8.0,0.0,499.0,6.0,46.0,186.0,275.0,39.0,496.0,8.0,14.0,57.1,323.0,22.0,13.0,9.0,388.0,25.0,16.0,0.0,15.0,18.0,5.0,0.0,0.0,0.0,41.0,4.0,10.0,28.6
-Bartosz Bereszyński,pl POL,DF,Sampdoria,30-207,1992,15.0,15.0,1198.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,13.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,471.0,644.0,73.1,6989.0,3219.0,286.0,316.0,90.5,143.0,210.0,68.1,28.0,73.0,38.4,3.0,32.0,10.0,3.0,44.0,480.0,161.0,28.0,0.0,1.0,31.0,0.0,0.0,0.0,0.0,133.0,3.0,19.0,8.0,0.6,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,18.0,15.0,11.0,2.0,17.0,24.0,70.8,7.0,18.0,4.0,14.0,21.0,25.0,0.0,759.0,48.0,255.0,317.0,198.0,13.0,759.0,4.0,15.0,26.7,329.0,20.0,16.0,1.0,354.0,12.0,5.0,0.0,13.0,10.0,0.0,0.0,0.0,0.0,68.0,18.0,11.0,62.1
-Beto,gw GNB,FW,Udinese,25-004,1998,20.0,12.0,1113.0,7.0,1.0,0.0,0.0,1.0,0.0,0.57,0.08,0.65,0.57,0.65,6.0,6.0,0.48,0.48,12.4,12.0,0.0,38.7,0.97,0.23,0.58,0.19,1.0,1.0,106.0,171.0,62.0,1330.0,145.0,73.0,104.0,70.2,22.0,37.0,59.5,4.0,8.0,50.0,12.0,6.0,1.0,0.0,5.0,166.0,4.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,24.0,1.94,17.0,0.0,3.0,2.0,2.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,12.0,9.0,0.0,7.0,5.0,2.0,6.0,33.3,4.0,9.0,0.0,9.0,2.0,15.0,0.0,357.0,16.0,20.0,141.0,199.0,78.0,357.0,10.0,30.0,33.3,208.0,11.0,6.0,9.0,270.0,62.0,27.0,0.0,21.0,16.0,4.0,0.0,0.0,0.0,15.0,44.0,38.0,53.7
-Matteo Bianchetti,it ITA,DF,Cremonese,29-324,1993,15.0,13.0,1243.0,1.0,0.0,0.0,0.0,1.0,0.0,0.07,0.0,0.07,0.07,0.07,0.7,0.7,0.05,0.05,13.8,4.0,0.0,66.7,0.29,0.17,0.25,0.12,0.3,0.3,412.0,537.0,76.7,7922.0,3360.0,148.0,171.0,86.5,216.0,253.0,85.4,42.0,97.0,43.3,4.0,26.0,5.0,1.0,28.0,490.0,44.0,28.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,3.0,5.0,10.0,0.72,6.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,12.0,5.0,1.0,12.0,20.0,60.0,8.0,22.0,14.0,8.0,10.0,69.0,0.0,683.0,122.0,406.0,251.0,28.0,10.0,683.0,2.0,2.0,100.0,309.0,4.0,1.0,0.0,341.0,3.0,2.0,0.0,12.0,3.0,0.0,0.0,1.0,0.0,70.0,31.0,22.0,58.5
-Alessandro Bianco,it ITA,MF,Fiorentina,20-126,2002,3.0,2.0,112.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.2,1.0,0.0,50.0,0.8,0.0,0.0,0.03,-0.1,-0.1,46.0,54.0,85.2,826.0,125.0,20.0,24.0,83.3,20.0,24.0,83.3,5.0,5.0,100.0,1.0,9.0,1.0,0.0,6.0,52.0,2.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.41,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,2.0,100.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,64.0,0.0,10.0,42.0,12.0,1.0,64.0,0.0,1.0,0.0,34.0,3.0,0.0,0.0,47.0,2.0,4.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,50.0
-Jaka Bijol,si SVN,DF,Udinese,23-364,1999,16.0,16.0,1299.0,2.0,0.0,0.0,0.0,4.0,0.0,0.14,0.0,0.14,0.14,0.14,1.3,1.3,0.09,0.09,14.4,3.0,0.0,30.0,0.21,0.2,0.67,0.13,0.7,0.7,517.0,612.0,84.5,10944.0,3919.0,126.0,145.0,86.9,320.0,345.0,92.8,65.0,103.0,63.1,2.0,20.0,0.0,0.0,30.0,596.0,13.0,13.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,7.0,0.48,6.0,0.0,0.0,1.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,15.0,10.0,12.0,3.0,0.0,7.0,9.0,77.8,2.0,21.0,12.0,9.0,14.0,96.0,0.0,794.0,139.0,457.0,313.0,24.0,17.0,794.0,1.0,2.0,50.0,407.0,2.0,4.0,1.0,427.0,4.0,2.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,68.0,44.0,27.0,62.0
-Cristiano Biraghi,it ITA,DF,Fiorentina,30-156,1992,19.0,18.0,1532.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.12,0.12,0.0,0.12,1.4,0.6,0.08,0.04,17.0,1.0,6.0,7.1,0.06,0.0,0.0,0.04,-1.4,-0.6,892.0,1237.0,72.1,16720.0,6338.0,381.0,429.0,88.8,389.0,488.0,79.7,113.0,271.0,41.7,56.0,77.0,25.0,17.0,106.0,907.0,325.0,54.0,0.0,14.0,193.0,106.0,44.0,44.0,0.0,165.0,5.0,27.0,86.0,5.06,39.0,45.0,1.0,1.0,0.0,4.0,0.24,2.0,2.0,0.0,0.0,0.0,0.0,36.0,20.0,16.0,19.0,1.0,22.0,33.0,66.7,11.0,15.0,5.0,10.0,5.0,26.0,1.0,1363.0,47.0,326.0,546.0,502.0,16.0,1362.0,3.0,12.0,25.0,637.0,42.0,35.0,4.0,765.0,13.0,5.0,0.0,15.0,20.0,1.0,0.0,0.0,0.0,83.0,10.0,16.0,38.5
-Samuele Birindelli,it ITA,DF,Monza,23-200,1999,17.0,10.0,861.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.1,0.1,0.0,0.1,1.0,1.0,0.11,0.11,9.6,3.0,0.0,25.0,0.31,0.0,0.0,0.08,-1.0,-1.0,336.0,466.0,72.1,5783.0,1630.0,162.0,190.0,85.3,139.0,187.0,74.3,29.0,66.0,43.9,13.0,14.0,12.0,9.0,21.0,392.0,74.0,4.0,0.0,3.0,49.0,0.0,0.0,0.0,0.0,70.0,0.0,10.0,26.0,2.72,22.0,0.0,1.0,2.0,1.0,4.0,0.42,4.0,0.0,0.0,0.0,0.0,0.0,19.0,9.0,12.0,5.0,2.0,13.0,17.0,76.5,4.0,17.0,5.0,12.0,12.0,16.0,0.0,577.0,28.0,146.0,231.0,209.0,23.0,577.0,6.0,15.0,40.0,290.0,35.0,22.0,4.0,354.0,16.0,7.0,0.0,8.0,9.0,2.0,0.0,0.0,0.0,48.0,2.0,5.0,28.6
-Kristijan Bistrović,hr CRO,MF,Lecce,24-301,1998,11.0,5.0,461.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.07,0.07,5.1,1.0,4.0,12.5,0.2,0.0,0.0,0.04,-0.3,-0.3,101.0,140.0,72.1,1867.0,682.0,45.0,52.0,86.5,35.0,48.0,72.9,16.0,25.0,64.0,6.0,10.0,2.0,1.0,16.0,119.0,21.0,11.0,0.0,3.0,21.0,7.0,3.0,3.0,0.0,0.0,0.0,6.0,10.0,1.95,3.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,4.0,0.0,4.0,3.0,0.0,3.0,0.0,4.0,0.0,169.0,5.0,29.0,85.0,55.0,3.0,169.0,0.0,1.0,0.0,83.0,4.0,1.0,0.0,99.0,3.0,5.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,15.0,2.0,5.0,28.6
-Alexis Blin,fr FRA,"MF,DF",Lecce,26-141,1996,18.0,11.0,1125.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.05,0.05,12.5,1.0,0.0,20.0,0.08,0.0,0.0,0.12,-0.6,-0.6,417.0,522.0,79.9,6918.0,2016.0,197.0,228.0,86.4,165.0,201.0,82.1,34.0,54.0,63.0,7.0,46.0,8.0,2.0,56.0,497.0,24.0,9.0,0.0,6.0,16.0,1.0,1.0,0.0,0.0,6.0,1.0,6.0,17.0,1.36,15.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,13.0,9.0,13.0,7.0,17.0,29.0,58.6,12.0,26.0,11.0,15.0,18.0,49.0,0.0,687.0,56.0,216.0,349.0,123.0,10.0,687.0,2.0,6.0,33.3,293.0,12.0,10.0,1.0,365.0,10.0,6.0,0.0,15.0,16.0,0.0,0.0,0.0,0.0,66.0,22.0,36.0,37.9
-Jeremie Boga,ci CIV,"MF,FW",Atalanta,26-032,1997,10.0,3.0,347.0,1.0,5.0,0.0,0.0,0.0,0.0,0.26,1.3,1.56,0.26,1.56,0.5,0.5,0.13,0.13,3.9,2.0,0.0,28.6,0.52,0.14,0.5,0.07,0.5,0.5,153.0,190.0,80.5,2243.0,572.0,89.0,108.0,82.4,39.0,47.0,83.0,13.0,18.0,72.2,18.0,6.0,11.0,3.0,22.0,174.0,15.0,3.0,2.0,0.0,13.0,8.0,5.0,1.0,0.0,4.0,1.0,3.0,26.0,6.76,17.0,5.0,3.0,0.0,0.0,6.0,1.56,5.0,0.0,0.0,0.0,0.0,1.0,3.0,2.0,2.0,0.0,1.0,1.0,3.0,33.3,2.0,3.0,0.0,3.0,0.0,0.0,0.0,246.0,0.0,14.0,89.0,146.0,18.0,246.0,12.0,29.0,41.4,171.0,28.0,27.0,11.0,207.0,18.0,3.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,12.0,2.0,3.0,40.0
-Emil Bohinen,no NOR,MF,Salernitana,23-329,1999,9.0,4.0,318.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,134.0,156.0,85.9,1861.0,472.0,78.0,84.0,92.9,46.0,54.0,85.2,5.0,9.0,55.6,3.0,9.0,3.0,1.0,12.0,149.0,7.0,7.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,1.43,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,8.0,9.0,2.0,2.0,7.0,8.0,87.5,1.0,7.0,2.0,5.0,7.0,5.0,0.0,204.0,13.0,64.0,105.0,39.0,2.0,204.0,0.0,4.0,0.0,106.0,2.0,6.0,0.0,116.0,4.0,3.0,0.0,5.0,6.0,0.0,0.0,0.0,0.0,31.0,1.0,3.0,25.0
-Giacomo Bonaventura,it ITA,MF,Fiorentina,33-166,1989,17.0,15.0,1275.0,3.0,0.0,0.0,0.0,3.0,0.0,0.21,0.0,0.21,0.21,0.21,2.6,2.6,0.19,0.19,14.2,9.0,1.0,26.5,0.64,0.09,0.33,0.08,0.4,0.4,508.0,613.0,82.9,8130.0,1827.0,260.0,292.0,89.0,190.0,218.0,87.2,37.0,58.0,63.8,16.0,36.0,21.0,4.0,68.0,588.0,25.0,12.0,3.0,2.0,23.0,3.0,0.0,3.0,0.0,4.0,0.0,16.0,43.0,3.04,28.0,3.0,2.0,5.0,5.0,4.0,0.28,3.0,0.0,0.0,0.0,1.0,0.0,27.0,19.0,11.0,12.0,4.0,18.0,24.0,75.0,6.0,9.0,0.0,9.0,13.0,4.0,1.0,767.0,10.0,101.0,391.0,293.0,41.0,767.0,12.0,30.0,40.0,486.0,40.0,44.0,6.0,548.0,14.0,18.0,0.0,13.0,28.0,2.0,1.0,0.0,0.0,95.0,9.0,11.0,45.0
-Federico Bonazzoli,it ITA,FW,Salernitana,25-259,1997,18.0,10.0,873.0,2.0,1.0,0.0,0.0,1.0,0.0,0.21,0.1,0.31,0.21,0.31,2.2,2.2,0.22,0.22,9.7,6.0,1.0,23.1,0.62,0.08,0.33,0.08,-0.2,-0.2,198.0,264.0,75.0,3646.0,746.0,91.0,109.0,83.5,71.0,88.0,80.7,30.0,41.0,73.2,8.0,26.0,5.0,0.0,36.0,241.0,22.0,1.0,2.0,12.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,10.0,22.0,2.27,18.0,0.0,1.0,2.0,1.0,3.0,0.31,3.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,6.0,0.0,6.0,6.0,1.0,5.0,3.0,0.0,0.0,370.0,0.0,24.0,198.0,152.0,28.0,370.0,12.0,19.0,63.2,230.0,9.0,9.0,3.0,280.0,36.0,12.0,0.0,11.0,20.0,6.0,0.0,0.0,0.0,29.0,3.0,11.0,21.4
-Warren Bondo,fr FRA,MF,Monza,19-142,2003,4.0,0.0,60.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,45.0,51.0,88.2,720.0,106.0,24.0,26.0,92.3,20.0,22.0,90.9,1.0,1.0,100.0,0.0,2.0,0.0,0.0,5.0,48.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,3.0,4.5,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,60.0,0.0,8.0,40.0,13.0,0.0,60.0,3.0,4.0,75.0,45.0,3.0,3.0,0.0,51.0,1.0,1.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
-Kevin Bonifazi,it ITA,DF,Bologna,26-261,1996,7.0,4.0,416.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,4.6,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,215.0,251.0,85.7,4622.0,1533.0,64.0,71.0,90.1,109.0,120.0,90.8,41.0,57.0,71.9,1.0,14.0,0.0,0.0,12.0,242.0,9.0,9.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.65,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,3.0,6.0,50.0,3.0,6.0,4.0,2.0,6.0,21.0,0.0,309.0,48.0,171.0,126.0,15.0,4.0,309.0,0.0,1.0,0.0,175.0,3.0,3.0,0.0,208.0,3.0,4.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,28.0,1.0,10.0,9.1
-Leonardo Bonucci,it ITA,DF,Juventus,35-279,1987,9.0,6.0,600.0,1.0,0.0,0.0,1.0,1.0,0.0,0.15,0.0,0.15,0.15,0.15,0.9,0.1,0.14,0.01,6.7,1.0,0.0,50.0,0.15,0.5,1.0,0.05,0.1,0.9,299.0,351.0,85.2,6502.0,2460.0,82.0,89.0,92.1,167.0,184.0,90.8,49.0,75.0,65.3,2.0,23.0,3.0,0.0,16.0,322.0,28.0,10.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,0.9,4.0,0.0,0.0,1.0,0.0,1.0,0.15,0.0,0.0,0.0,1.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,1.0,3.0,33.3,2.0,8.0,6.0,2.0,8.0,22.0,0.0,403.0,67.0,217.0,184.0,6.0,5.0,402.0,1.0,1.0,100.0,219.0,1.0,2.0,0.0,269.0,2.0,0.0,0.0,8.0,4.0,1.0,0.0,0.0,0.0,36.0,11.0,13.0,45.8
-Erik Botheim,no NOR,FW,Salernitana,23-025,2000,15.0,3.0,335.0,1.0,1.0,0.0,0.0,1.0,0.0,0.27,0.27,0.54,0.27,0.54,0.4,0.4,0.1,0.1,3.7,1.0,0.0,25.0,0.27,0.25,1.0,0.09,0.6,0.6,54.0,85.0,63.5,707.0,146.0,28.0,41.0,68.3,17.0,25.0,68.0,2.0,3.0,66.7,6.0,4.0,2.0,0.0,11.0,82.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,9.0,2.43,6.0,0.0,0.0,1.0,1.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,2.0,2.0,2.0,2.0,100.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,115.0,1.0,10.0,43.0,63.0,11.0,115.0,2.0,3.0,66.7,59.0,7.0,2.0,0.0,87.0,8.0,5.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,11.0,11.0,13.0,45.8
-Mehdi Bourabia,ma MAR,MF,Spezia,31-181,1991,20.0,19.0,1486.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.12,0.12,0.0,0.12,0.4,0.4,0.03,0.03,16.5,1.0,1.0,8.3,0.06,0.0,0.0,0.04,-0.4,-0.4,583.0,763.0,76.4,9395.0,3225.0,286.0,344.0,83.1,237.0,285.0,83.2,45.0,90.0,50.0,23.0,65.0,20.0,7.0,69.0,713.0,45.0,22.0,4.0,2.0,36.0,19.0,14.0,3.0,0.0,4.0,5.0,18.0,44.0,2.66,33.0,5.0,2.0,1.0,1.0,6.0,0.36,6.0,0.0,0.0,0.0,0.0,0.0,28.0,10.0,11.0,14.0,3.0,13.0,21.0,61.9,8.0,22.0,10.0,12.0,22.0,27.0,0.0,962.0,55.0,265.0,522.0,192.0,8.0,962.0,15.0,37.0,40.5,468.0,18.0,18.0,3.0,530.0,31.0,17.0,0.0,23.0,13.0,1.0,0.0,0.0,0.0,131.0,10.0,14.0,41.7
-Edoardo Bove,it ITA,MF,Roma,20-264,2002,9.0,1.0,158.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.21,0.21,1.8,1.0,0.0,25.0,0.57,0.0,0.0,0.09,-0.4,-0.4,41.0,53.0,77.4,572.0,91.0,27.0,33.0,81.8,11.0,14.0,78.6,2.0,3.0,66.7,0.0,0.0,1.0,0.0,2.0,49.0,4.0,1.0,0.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.14,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,3.0,2.0,3.0,5.0,6.0,83.3,1.0,3.0,1.0,2.0,1.0,3.0,0.0,83.0,1.0,23.0,37.0,24.0,5.0,83.0,0.0,2.0,0.0,40.0,1.0,1.0,1.0,45.0,6.0,6.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,16.0,1.0,3.0,25.0
-Jayden Braaf,nl NED,MF,Hellas Verona,20-157,2002,1.0,1.0,72.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.2,0.2,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.16,-0.2,-0.2,9.0,12.0,75.0,122.0,38.0,8.0,8.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,28.0,0.0,9.0,8.0,12.0,2.0,28.0,1.0,4.0,25.0,15.0,1.0,0.0,0.0,15.0,3.0,5.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
-Domagoj Bradarić,hr CRO,DF,Salernitana,23-056,1999,15.0,9.0,936.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.1,0.1,0.0,0.1,0.1,0.1,0.01,0.01,10.4,0.0,1.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,336.0,452.0,74.3,5499.0,1711.0,167.0,194.0,86.1,139.0,173.0,80.3,22.0,59.0,37.3,7.0,15.0,8.0,4.0,20.0,345.0,105.0,20.0,0.0,5.0,35.0,3.0,1.0,1.0,0.0,82.0,2.0,13.0,19.0,1.83,14.0,1.0,1.0,2.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,2.0,6.0,0.0,4.0,7.0,57.1,3.0,10.0,2.0,8.0,6.0,17.0,0.0,541.0,21.0,136.0,238.0,175.0,10.0,541.0,6.0,26.0,23.1,276.0,27.0,20.0,4.0,301.0,12.0,6.0,0.0,11.0,7.0,2.0,0.0,0.0,0.0,50.0,4.0,9.0,30.8
-Gleison Bremer,br BRA,DF,Juventus,25-323,1997,17.0,17.0,1484.0,1.0,0.0,0.0,0.0,4.0,0.0,0.06,0.0,0.06,0.06,0.06,2.6,2.6,0.16,0.16,16.5,2.0,0.0,11.8,0.12,0.06,0.5,0.16,-1.6,-1.6,851.0,951.0,89.5,16619.0,5105.0,280.0,297.0,94.3,464.0,497.0,93.4,100.0,142.0,70.4,5.0,18.0,1.0,0.0,20.0,915.0,36.0,11.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,5.0,15.0,0.91,13.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,12.0,13.0,3.0,1.0,10.0,13.0,76.9,3.0,30.0,18.0,12.0,27.0,66.0,2.0,1148.0,186.0,675.0,428.0,48.0,28.0,1148.0,1.0,5.0,20.0,626.0,4.0,4.0,0.0,744.0,11.0,3.0,0.0,19.0,7.0,1.0,0.0,1.0,0.0,100.0,40.0,26.0,60.6
-Dylan Bronn,tn TUN,DF,Salernitana,27-230,1995,17.0,13.0,1158.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,12.9,1.0,0.0,16.7,0.08,0.0,0.0,0.09,-0.6,-0.6,573.0,685.0,83.6,10480.0,4194.0,237.0,261.0,90.8,272.0,300.0,90.7,55.0,97.0,56.7,5.0,43.0,4.0,1.0,56.0,641.0,40.0,23.0,1.0,11.0,4.0,0.0,0.0,0.0,0.0,17.0,4.0,5.0,12.0,0.93,10.0,0.0,0.0,2.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,24.0,11.0,12.0,12.0,0.0,13.0,20.0,65.0,7.0,24.0,15.0,9.0,16.0,41.0,0.0,823.0,74.0,375.0,415.0,34.0,7.0,823.0,3.0,7.0,42.9,447.0,9.0,3.0,0.0,516.0,4.0,1.0,0.0,18.0,6.0,0.0,0.0,0.0,0.0,72.0,24.0,18.0,57.1
-Marcelo Brozović,hr CRO,MF,Inter,30-080,1992,10.0,7.0,621.0,2.0,0.0,0.0,0.0,5.0,0.0,0.29,0.0,0.29,0.29,0.29,1.6,1.6,0.23,0.23,6.9,4.0,0.0,40.0,0.58,0.2,0.5,0.16,0.4,0.4,416.0,481.0,86.5,7427.0,1929.0,181.0,200.0,90.5,192.0,213.0,90.1,36.0,53.0,67.9,4.0,29.0,3.0,0.0,31.0,456.0,24.0,20.0,1.0,2.0,7.0,4.0,1.0,2.0,0.0,0.0,1.0,4.0,13.0,1.88,8.0,2.0,0.0,3.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,3.0,7.0,0.0,2.0,7.0,28.6,5.0,10.0,3.0,7.0,12.0,9.0,0.0,550.0,27.0,146.0,334.0,75.0,5.0,550.0,6.0,9.0,66.7,347.0,10.0,9.0,2.0,399.0,7.0,1.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,43.0,0.0,4.0,0.0
-Cristian Buonaiuto,it ITA,"MF,FW",Cremonese,30-037,1992,16.0,3.0,524.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,1.5,0.26,0.26,5.8,7.0,5.0,29.2,1.2,0.0,0.0,0.06,-1.5,-1.5,168.0,267.0,62.9,2550.0,898.0,88.0,111.0,79.3,60.0,91.0,65.9,11.0,45.0,24.4,10.0,15.0,10.0,2.0,22.0,215.0,51.0,8.0,0.0,2.0,42.0,26.0,15.0,7.0,0.0,10.0,1.0,5.0,34.0,5.82,14.0,5.0,5.0,5.0,3.0,1.0,0.17,0.0,0.0,0.0,1.0,0.0,0.0,13.0,6.0,3.0,5.0,5.0,6.0,10.0,60.0,4.0,8.0,0.0,8.0,9.0,3.0,0.0,367.0,5.0,35.0,140.0,197.0,29.0,367.0,12.0,27.0,44.4,204.0,16.0,16.0,4.0,224.0,20.0,12.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,43.0,3.0,12.0,20.0
-Alessandro Buongiorno,it ITA,DF,Torino,23-243,1999,16.0,14.0,1266.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.06,0.06,14.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.9,-0.9,521.0,637.0,81.8,8883.0,2944.0,210.0,242.0,86.8,284.0,325.0,87.4,19.0,44.0,43.2,2.0,34.0,2.0,1.0,40.0,619.0,15.0,11.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,2.0,3.0,10.0,10.0,0.71,8.0,0.0,0.0,0.0,1.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,11.0,7.0,0.0,9.0,12.0,75.0,3.0,17.0,10.0,7.0,31.0,44.0,2.0,814.0,68.0,345.0,428.0,45.0,15.0,814.0,2.0,7.0,28.6,401.0,6.0,10.0,1.0,456.0,20.0,5.0,0.0,33.0,18.0,0.0,0.0,0.0,0.0,82.0,49.0,18.0,73.1
-Juan Cabal,co COL,DF,Hellas Verona,22-027,2001,3.0,0.0,57.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,27.0,66.7,286.0,115.0,10.0,12.0,83.3,7.0,9.0,77.8,1.0,5.0,20.0,1.0,3.0,1.0,1.0,3.0,24.0,3.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,3.0,4.82,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,35.0,7.0,15.0,18.0,4.0,0.0,35.0,0.0,1.0,0.0,17.0,0.0,1.0,0.0,16.0,2.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,9.0,0.0,4.0,0.0
-Liberato Cacace,nz NZL,DF,Empoli,22-130,2000,4.0,2.0,209.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,102.0,134.0,76.1,1565.0,589.0,52.0,58.0,89.7,44.0,60.0,73.3,3.0,9.0,33.3,2.0,8.0,0.0,0.0,10.0,105.0,29.0,3.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,26.0,0.0,2.0,7.0,3.03,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,5.0,7.0,4.0,2.0,5.0,8.0,62.5,3.0,7.0,3.0,4.0,2.0,3.0,0.0,179.0,11.0,56.0,79.0,47.0,5.0,179.0,3.0,7.0,42.9,77.0,12.0,9.0,2.0,88.0,2.0,2.0,0.0,4.0,2.0,0.0,0.0,1.0,0.0,12.0,2.0,9.0,18.2
-Davide Calabria,it ITA,DF,Milan,26-060,1996,12.0,12.0,944.0,1.0,2.0,0.0,0.0,4.0,0.0,0.1,0.19,0.29,0.1,0.29,0.9,0.9,0.09,0.09,10.5,1.0,0.0,14.3,0.1,0.14,1.0,0.13,0.1,0.1,575.0,715.0,80.4,10116.0,3668.0,245.0,263.0,93.2,263.0,300.0,87.7,55.0,121.0,45.5,9.0,35.0,11.0,8.0,53.0,600.0,111.0,10.0,0.0,2.0,28.0,5.0,0.0,5.0,0.0,96.0,4.0,13.0,18.0,1.72,16.0,1.0,0.0,0.0,1.0,3.0,0.29,2.0,0.0,0.0,0.0,1.0,0.0,49.0,25.0,22.0,21.0,6.0,28.0,42.0,66.7,14.0,12.0,3.0,9.0,17.0,15.0,0.0,828.0,36.0,258.0,417.0,164.0,9.0,828.0,1.0,8.0,12.5,422.0,15.0,15.0,1.0,504.0,4.0,3.0,0.0,9.0,9.0,1.0,1.0,1.0,0.0,66.0,5.0,6.0,45.5
-Mattia Caldara,it ITA,DF,Spezia,28-275,1994,13.0,9.0,894.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.05,0.05,9.9,2.0,0.0,25.0,0.2,0.0,0.0,0.06,-0.5,-0.5,338.0,438.0,77.2,6005.0,2291.0,138.0,165.0,83.6,161.0,197.0,81.7,32.0,64.0,50.0,1.0,15.0,1.0,0.0,25.0,395.0,42.0,20.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,4.0,4.0,0.4,4.0,0.0,0.0,0.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,17.0,10.0,8.0,7.0,2.0,8.0,17.0,47.1,9.0,12.0,7.0,5.0,13.0,57.0,1.0,565.0,89.0,310.0,229.0,35.0,11.0,565.0,2.0,5.0,40.0,280.0,5.0,2.0,0.0,264.0,4.0,4.0,0.0,13.0,8.0,0.0,0.0,0.0,0.0,67.0,25.0,16.0,61.0
-Luca Caldirola,it ITA,DF,Monza,32-003,1991,16.0,14.0,1234.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.05,0.05,13.7,1.0,0.0,20.0,0.07,0.0,0.0,0.13,-0.6,-0.6,691.0,787.0,87.8,12464.0,5098.0,283.0,297.0,95.3,337.0,372.0,90.6,60.0,93.0,64.5,3.0,33.0,3.0,0.0,42.0,752.0,34.0,24.0,1.0,5.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,4.0,8.0,0.58,8.0,0.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,7.0,3.0,2.0,4.0,10.0,40.0,6.0,15.0,7.0,8.0,14.0,32.0,0.0,891.0,108.0,448.0,400.0,47.0,7.0,891.0,0.0,1.0,0.0,525.0,8.0,7.0,0.0,641.0,2.0,1.0,0.0,16.0,15.0,0.0,0.0,0.0,0.0,52.0,25.0,16.0,61.0
-Hakan Çalhanoğlu,tr TUR,MF,Inter,28-361,1994,19.0,18.0,1439.0,2.0,4.0,1.0,1.0,2.0,0.0,0.13,0.25,0.38,0.06,0.31,1.8,1.0,0.11,0.06,16.0,7.0,6.0,26.9,0.44,0.04,0.14,0.04,0.2,0.0,769.0,918.0,83.8,14050.0,4183.0,340.0,369.0,92.1,317.0,359.0,88.3,89.0,145.0,61.4,40.0,84.0,20.0,7.0,91.0,817.0,98.0,41.0,4.0,14.0,81.0,53.0,14.0,35.0,0.0,4.0,3.0,5.0,67.0,4.19,39.0,21.0,0.0,3.0,3.0,7.0,0.44,5.0,2.0,0.0,0.0,0.0,0.0,35.0,19.0,12.0,19.0,4.0,8.0,21.0,38.1,13.0,22.0,4.0,18.0,19.0,8.0,1.0,1086.0,25.0,231.0,579.0,288.0,14.0,1085.0,1.0,10.0,10.0,613.0,23.0,18.0,2.0,698.0,19.0,7.0,0.0,29.0,19.0,1.0,0.0,0.0,0.0,121.0,10.0,11.0,47.6
-Mohamed Camara,gn GUI,MF,Roma,25-341,1997,9.0,5.0,377.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,4.2,0.0,1.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,145.0,186.0,78.0,2404.0,466.0,70.0,79.0,88.6,63.0,75.0,84.0,10.0,18.0,55.6,2.0,16.0,2.0,1.0,16.0,183.0,2.0,2.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,7.0,1.67,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,9.0,3.0,6.0,1.0,4.0,6.0,66.7,2.0,1.0,0.0,1.0,5.0,4.0,0.0,219.0,7.0,39.0,149.0,39.0,1.0,219.0,5.0,8.0,62.5,138.0,10.0,5.0,1.0,138.0,3.0,5.0,0.0,9.0,5.0,0.0,0.0,0.0,0.0,35.0,2.0,4.0,33.3
-Nicolò Cambiaghi,it ITA,"FW,MF",Empoli,22-038,2000,14.0,2.0,401.0,1.0,1.0,0.0,0.0,1.0,0.0,0.22,0.22,0.45,0.22,0.45,1.2,1.2,0.27,0.27,4.5,4.0,0.0,44.4,0.9,0.11,0.25,0.13,-0.2,-0.2,114.0,151.0,75.5,1597.0,426.0,68.0,79.0,86.1,31.0,42.0,73.8,6.0,8.0,75.0,4.0,10.0,5.0,0.0,16.0,146.0,5.0,1.0,0.0,0.0,13.0,1.0,0.0,0.0,0.0,2.0,0.0,10.0,19.0,4.28,9.0,1.0,1.0,3.0,3.0,4.0,0.9,1.0,1.0,1.0,1.0,0.0,0.0,12.0,9.0,6.0,3.0,3.0,3.0,7.0,42.9,4.0,6.0,1.0,5.0,3.0,5.0,0.0,221.0,8.0,42.0,81.0,105.0,18.0,221.0,6.0,16.0,37.5,154.0,21.0,10.0,8.0,156.0,14.0,9.0,0.0,7.0,18.0,0.0,0.0,0.0,0.0,24.0,2.0,4.0,33.3
-Andrea Cambiaso,it ITA,DF,Bologna,22-349,2000,18.0,12.0,1060.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.17,0.17,0.0,0.17,0.5,0.5,0.04,0.04,11.8,1.0,0.0,14.3,0.08,0.0,0.0,0.08,-0.5,-0.5,527.0,669.0,78.8,7881.0,2883.0,299.0,334.0,89.5,185.0,224.0,82.6,29.0,70.0,41.4,15.0,26.0,13.0,6.0,39.0,540.0,127.0,11.0,0.0,2.0,35.0,1.0,1.0,0.0,0.0,115.0,2.0,20.0,28.0,2.38,22.0,3.0,2.0,0.0,1.0,5.0,0.42,5.0,0.0,0.0,0.0,0.0,0.0,31.0,18.0,19.0,11.0,1.0,11.0,27.0,40.7,16.0,13.0,1.0,12.0,18.0,16.0,1.0,817.0,34.0,262.0,364.0,203.0,19.0,817.0,13.0,31.0,41.9,451.0,32.0,29.0,8.0,484.0,24.0,11.0,0.0,14.0,18.0,3.0,0.0,0.0,0.0,81.0,3.0,8.0,27.3
-Matteo Cancellieri,it ITA,FW,Lazio,20-357,2002,14.0,1.0,208.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.14,0.14,2.3,1.0,0.0,25.0,0.43,0.0,0.0,0.08,-0.3,-0.3,55.0,75.0,73.3,690.0,97.0,39.0,44.0,88.6,14.0,21.0,66.7,0.0,5.0,0.0,3.0,1.0,1.0,1.0,2.0,74.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,5.0,2.17,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,1.0,2.0,4.0,6.0,66.7,2.0,3.0,0.0,3.0,1.0,2.0,0.0,109.0,2.0,18.0,42.0,51.0,13.0,109.0,2.0,7.0,28.6,68.0,12.0,6.0,7.0,76.0,9.0,2.0,0.0,11.0,5.0,4.0,0.0,0.0,0.0,13.0,4.0,1.0,80.0
-Antonio Candreva,it ITA,"DF,MF",Salernitana,35-341,1987,19.0,17.0,1523.0,2.0,1.0,0.0,0.0,3.0,1.0,0.12,0.06,0.18,0.12,0.18,1.4,1.4,0.08,0.08,16.9,8.0,2.0,36.4,0.47,0.09,0.25,0.06,0.6,0.6,660.0,919.0,71.8,11716.0,4394.0,322.0,349.0,92.3,255.0,349.0,73.1,69.0,164.0,42.1,29.0,63.0,25.0,12.0,85.0,755.0,161.0,26.0,4.0,17.0,123.0,34.0,3.0,17.0,0.0,99.0,3.0,28.0,49.0,2.89,33.0,10.0,0.0,4.0,2.0,5.0,0.3,3.0,1.0,0.0,1.0,0.0,0.0,8.0,2.0,8.0,0.0,0.0,6.0,23.0,26.1,17.0,5.0,2.0,3.0,15.0,23.0,0.0,1034.0,37.0,211.0,448.0,387.0,19.0,1034.0,1.0,15.0,6.7,586.0,42.0,25.0,4.0,717.0,15.0,6.0,1.0,3.0,13.0,4.0,0.0,1.0,0.0,77.0,0.0,0.0,0.0
-Gianluca Caprari,it ITA,"MF,FW",Monza,29-189,1993,20.0,17.0,1237.0,4.0,1.0,1.0,1.0,3.0,0.0,0.29,0.07,0.36,0.22,0.29,3.9,3.2,0.29,0.23,13.7,8.0,0.0,25.8,0.58,0.1,0.38,0.1,0.1,-0.2,444.0,549.0,80.9,6312.0,1066.0,282.0,314.0,89.8,120.0,154.0,77.9,25.0,38.0,65.8,15.0,28.0,11.0,2.0,41.0,525.0,21.0,4.0,2.0,6.0,30.0,10.0,0.0,9.0,0.0,2.0,3.0,14.0,36.0,2.61,28.0,4.0,1.0,2.0,1.0,7.0,0.51,5.0,1.0,0.0,0.0,1.0,0.0,10.0,4.0,3.0,6.0,1.0,4.0,11.0,36.4,7.0,10.0,1.0,9.0,2.0,1.0,0.0,705.0,4.0,55.0,341.0,314.0,63.0,704.0,12.0,40.0,30.0,464.0,53.0,21.0,20.0,571.0,45.0,15.0,0.0,23.0,26.0,6.0,0.0,0.0,0.0,53.0,4.0,10.0,28.6
-Francesco Caputo,it ITA,FW,Sampdoria,35-182,1987,15.0,13.0,1094.0,1.0,0.0,0.0,0.0,0.0,0.0,0.08,0.0,0.08,0.08,0.08,1.9,1.9,0.15,0.15,12.2,5.0,0.0,26.3,0.41,0.05,0.2,0.1,-0.9,-0.9,168.0,237.0,70.9,2130.0,315.0,96.0,130.0,73.8,43.0,60.0,71.7,8.0,10.0,80.0,9.0,11.0,4.0,0.0,11.0,208.0,28.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,9.0,23.0,1.89,17.0,0.0,1.0,3.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,1.0,3.0,0.0,309.0,4.0,11.0,126.0,172.0,49.0,309.0,3.0,9.0,33.3,181.0,6.0,4.0,7.0,243.0,21.0,14.0,0.0,5.0,24.0,11.0,0.0,0.0,0.0,18.0,6.0,21.0,22.2
-Francesco Caputo,it ITA,"FW,MF",Empoli,35-182,1987,5.0,5.0,442.0,1.0,2.0,0.0,0.0,1.0,0.0,0.2,0.41,0.61,0.2,0.61,1.3,1.3,0.26,0.26,4.9,4.0,0.0,33.3,0.81,0.08,0.25,0.1,-0.3,-0.3,83.0,110.0,75.5,960.0,243.0,63.0,75.0,84.0,16.0,20.0,80.0,0.0,0.0,0.0,7.0,2.0,2.0,0.0,8.0,109.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,9.0,1.84,7.0,0.0,0.0,1.0,1.0,2.0,0.41,2.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,0.0,2.0,0.0,157.0,3.0,15.0,72.0,70.0,27.0,157.0,0.0,6.0,0.0,93.0,4.0,2.0,2.0,135.0,12.0,7.0,0.0,6.0,10.0,6.0,0.0,0.0,0.0,9.0,5.0,5.0,50.0
-Andrea Carboni,it ITA,DF,Monza,22-000,2001,4.0,1.0,167.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,1.9,1.0,0.0,100.0,0.54,0.0,0.0,0.05,-0.1,-0.1,69.0,87.0,79.3,1170.0,558.0,33.0,38.0,86.8,29.0,31.0,93.5,7.0,14.0,50.0,1.0,3.0,2.0,2.0,9.0,74.0,13.0,1.0,0.0,1.0,5.0,1.0,0.0,1.0,0.0,11.0,0.0,3.0,3.0,1.62,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,2.0,5.0,40.0,3.0,3.0,2.0,1.0,3.0,2.0,1.0,104.0,4.0,41.0,43.0,20.0,4.0,104.0,1.0,3.0,33.3,50.0,4.0,2.0,0.0,66.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,0.0
-Valentin Carboni,it ITA,"MF,FW",Inter,17-336,2005,2.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,62.5,96.0,9.0,2.0,2.0,100.0,2.0,4.0,50.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,9.0,0.0,1.0,5.0,3.0,0.0,9.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Carlos,br BRA,DF,Monza,24-028,1999,19.0,19.0,1669.0,4.0,2.0,0.0,0.0,2.0,0.0,0.22,0.11,0.32,0.22,0.32,2.0,2.0,0.11,0.11,18.5,8.0,0.0,36.4,0.43,0.18,0.5,0.09,2.0,2.0,777.0,948.0,82.0,12158.0,3898.0,399.0,437.0,91.3,311.0,369.0,84.3,41.0,74.0,55.4,8.0,42.0,15.0,1.0,53.0,771.0,172.0,12.0,2.0,3.0,30.0,0.0,0.0,0.0,0.0,155.0,5.0,28.0,27.0,1.46,21.0,2.0,1.0,2.0,1.0,4.0,0.22,3.0,0.0,0.0,1.0,0.0,0.0,32.0,17.0,18.0,9.0,5.0,14.0,20.0,70.0,6.0,12.0,4.0,8.0,11.0,45.0,1.0,1128.0,66.0,378.0,480.0,282.0,34.0,1128.0,19.0,31.0,61.3,555.0,46.0,43.0,5.0,687.0,22.0,14.0,0.0,27.0,11.0,2.0,0.0,0.0,0.0,87.0,30.0,16.0,65.2
-Marco Carnesecchi,it ITA,GK,Cremonese,22-218,2000,11.0,11.0,990.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,214.0,345.0,62.0,6597.0,4984.0,28.0,28.0,100.0,101.0,103.0,98.1,79.0,206.0,38.3,0.0,10.0,0.0,0.0,0.0,227.0,116.0,38.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,0.27,1.0,2.0,0.0,0.0,0.0,1.0,0.09,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,377.0,336.0,377.0,0.0,0.0,0.0,377.0,0.0,0.0,0.0,192.0,0.0,0.0,0.0,135.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,100.0
-Nicolò Casale,it ITA,DF,Lazio,24-355,1998,13.0,13.0,1135.0,1.0,1.0,0.0,0.0,4.0,0.0,0.08,0.08,0.16,0.08,0.16,0.6,0.6,0.05,0.05,12.6,2.0,0.0,28.6,0.16,0.14,0.5,0.08,0.4,0.4,653.0,709.0,92.1,11372.0,4074.0,267.0,287.0,93.0,305.0,322.0,94.7,56.0,69.0,81.2,3.0,17.0,1.0,0.0,31.0,659.0,50.0,47.0,2.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,6.0,0.48,4.0,1.0,0.0,1.0,0.0,2.0,0.16,1.0,0.0,0.0,1.0,0.0,0.0,26.0,11.0,16.0,10.0,0.0,14.0,18.0,77.8,4.0,9.0,6.0,3.0,8.0,38.0,0.0,812.0,117.0,398.0,405.0,16.0,11.0,812.0,0.0,1.0,0.0,473.0,7.0,1.0,0.0,522.0,3.0,1.0,0.0,10.0,4.0,0.0,0.0,0.0,0.0,69.0,23.0,14.0,62.2
-Michele Castagnetti,it ITA,MF,Cremonese,33-039,1989,13.0,7.0,638.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,7.1,1.0,0.0,16.7,0.14,0.0,0.0,0.04,-0.3,-0.3,267.0,366.0,73.0,4714.0,2034.0,112.0,138.0,81.2,124.0,165.0,75.2,25.0,49.0,51.0,15.0,43.0,10.0,2.0,58.0,328.0,37.0,22.0,1.0,4.0,23.0,10.0,6.0,4.0,0.0,4.0,1.0,7.0,27.0,3.8,24.0,3.0,0.0,0.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,21.0,11.0,9.0,11.0,1.0,9.0,17.0,52.9,8.0,5.0,1.0,4.0,6.0,12.0,0.0,427.0,16.0,101.0,239.0,94.0,6.0,427.0,2.0,4.0,50.0,191.0,9.0,5.0,0.0,234.0,9.0,0.0,0.0,9.0,6.0,0.0,0.0,0.0,0.0,58.0,5.0,6.0,45.5
-Gaetano Castrovilli,it ITA,MF,Fiorentina,25-352,1997,3.0,0.0,56.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.24,0.24,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,23.0,24.0,95.8,314.0,75.0,16.0,17.0,94.1,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,1.0,0.0,2.0,23.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,3.21,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,0.0,6.0,12.0,15.0,2.0,33.0,0.0,1.0,0.0,19.0,2.0,2.0,0.0,18.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,2.0,33.3
-Danilo Cataldi,it ITA,MF,Lazio,28-182,1994,18.0,17.0,1282.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.01,0.01,14.2,1.0,1.0,16.7,0.07,0.0,0.0,0.03,-0.2,-0.2,748.0,877.0,85.3,11710.0,4182.0,425.0,462.0,92.0,228.0,271.0,84.1,68.0,103.0,66.0,13.0,63.0,4.0,0.0,57.0,809.0,65.0,31.0,0.0,3.0,43.0,32.0,6.0,19.0,0.0,2.0,3.0,9.0,29.0,2.03,15.0,13.0,0.0,1.0,0.0,1.0,0.07,0.0,0.0,0.0,1.0,0.0,0.0,20.0,12.0,5.0,13.0,2.0,11.0,33.0,33.3,22.0,14.0,8.0,6.0,17.0,22.0,0.0,995.0,58.0,270.0,608.0,124.0,0.0,995.0,5.0,11.0,45.5,535.0,5.0,7.0,0.0,677.0,4.0,5.0,0.0,9.0,15.0,0.0,0.0,0.0,0.0,109.0,1.0,4.0,20.0
-Federico Ceccherini,it ITA,DF,Hellas Verona,30-269,1992,14.0,14.0,1022.0,1.0,0.0,0.0,0.0,7.0,1.0,0.09,0.0,0.09,0.09,0.09,0.7,0.7,0.06,0.06,11.4,1.0,0.0,20.0,0.09,0.2,1.0,0.14,0.3,0.3,358.0,473.0,75.7,6426.0,2600.0,151.0,171.0,88.3,164.0,199.0,82.4,37.0,75.0,49.3,4.0,38.0,4.0,0.0,43.0,429.0,44.0,13.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,28.0,0.0,14.0,11.0,0.96,8.0,1.0,0.0,0.0,0.0,1.0,0.09,0.0,0.0,0.0,0.0,0.0,1.0,18.0,14.0,10.0,7.0,1.0,9.0,13.0,69.2,4.0,11.0,4.0,7.0,10.0,36.0,0.0,582.0,61.0,215.0,297.0,75.0,10.0,582.0,1.0,2.0,50.0,267.0,19.0,11.0,2.0,302.0,11.0,5.0,0.0,26.0,14.0,0.0,0.0,0.0,0.0,73.0,21.0,12.0,63.6
-Assan Ceesay,gm GAM,FW,Lecce,28-324,1994,18.0,10.0,929.0,3.0,0.0,0.0,0.0,1.0,0.0,0.29,0.0,0.29,0.29,0.29,2.7,2.7,0.27,0.27,10.3,4.0,0.0,16.7,0.39,0.13,0.75,0.11,0.3,0.3,118.0,196.0,60.2,1761.0,262.0,58.0,97.0,59.8,42.0,60.0,70.0,9.0,12.0,75.0,3.0,5.0,2.0,0.0,12.0,181.0,14.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,4.0,1.0,5.0,18.0,1.74,12.0,0.0,2.0,1.0,3.0,2.0,0.19,1.0,0.0,1.0,0.0,0.0,0.0,16.0,13.0,6.0,5.0,5.0,5.0,7.0,71.4,2.0,9.0,1.0,8.0,1.0,18.0,0.0,336.0,22.0,51.0,142.0,146.0,44.0,336.0,8.0,17.0,47.1,151.0,11.0,7.0,6.0,207.0,34.0,12.0,0.0,17.0,19.0,10.0,0.0,0.0,0.0,24.0,35.0,30.0,53.8
-Emil Ceide,no NOR,FW,Sassuolo,21-154,2001,12.0,3.0,312.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,67.0,96.0,69.8,945.0,291.0,40.0,49.0,81.6,20.0,28.0,71.4,3.0,5.0,60.0,6.0,3.0,7.0,1.0,11.0,95.0,1.0,0.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,13.0,3.77,11.0,0.0,1.0,0.0,1.0,2.0,0.58,0.0,0.0,1.0,0.0,1.0,0.0,4.0,1.0,4.0,0.0,0.0,3.0,4.0,75.0,1.0,2.0,0.0,2.0,1.0,0.0,0.0,132.0,0.0,16.0,37.0,79.0,24.0,132.0,3.0,16.0,18.8,91.0,22.0,6.0,14.0,99.0,6.0,5.0,0.0,3.0,5.0,0.0,1.0,0.0,0.0,11.0,1.0,3.0,25.0
-Zeki Çelik,tr TUR,DF,Roma,25-352,1997,14.0,10.0,985.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,10.9,1.0,0.0,25.0,0.09,0.0,0.0,0.08,-0.3,-0.3,451.0,593.0,76.1,7090.0,3004.0,238.0,270.0,88.1,162.0,202.0,80.2,34.0,72.0,47.2,13.0,32.0,14.0,3.0,40.0,471.0,120.0,10.0,0.0,2.0,24.0,0.0,0.0,0.0,0.0,110.0,2.0,10.0,29.0,2.65,23.0,3.0,0.0,1.0,1.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,0.0,33.0,16.0,16.0,15.0,2.0,21.0,27.0,77.8,6.0,22.0,5.0,17.0,12.0,27.0,1.0,714.0,30.0,238.0,302.0,184.0,15.0,714.0,2.0,7.0,28.6,328.0,22.0,18.0,5.0,385.0,11.0,11.0,0.0,17.0,5.0,1.0,0.0,0.0,0.0,63.0,8.0,7.0,53.3
-Federico Chiesa,it ITA,"DF,FW",Juventus,25-102,1997,6.0,1.0,212.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.85,0.85,0.0,0.85,0.3,0.3,0.13,0.13,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.3,-0.3,73.0,102.0,71.6,1072.0,319.0,39.0,47.0,83.0,27.0,39.0,69.2,2.0,4.0,50.0,3.0,7.0,2.0,1.0,5.0,84.0,18.0,0.0,1.0,0.0,11.0,3.0,0.0,1.0,0.0,15.0,0.0,5.0,6.0,2.55,3.0,1.0,1.0,0.0,0.0,2.0,0.85,2.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,4.0,2.0,2.0,3.0,4.0,75.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,128.0,4.0,21.0,49.0,61.0,7.0,128.0,4.0,9.0,44.4,68.0,9.0,7.0,4.0,77.0,4.0,3.0,0.0,4.0,1.0,1.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0
-Vlad Chiricheș,ro ROU,DF,Cremonese,33-082,1989,7.0,7.0,522.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,155.0,183.0,84.7,2892.0,1329.0,57.0,64.0,89.1,79.0,89.0,88.8,14.0,22.0,63.6,1.0,4.0,0.0,0.0,4.0,171.0,12.0,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.52,3.0,0.0,0.0,0.0,0.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,0.0,23.0,13.0,17.0,5.0,1.0,8.0,10.0,80.0,2.0,18.0,11.0,7.0,15.0,19.0,0.0,257.0,58.0,166.0,88.0,5.0,2.0,257.0,0.0,0.0,0.0,91.0,1.0,2.0,0.0,113.0,1.0,3.0,0.0,11.0,3.0,0.0,0.0,0.0,1.0,37.0,8.0,17.0,32.0
-Daniel Ciofani,it ITA,FW,Cremonese,37-188,1985,17.0,4.0,406.0,3.0,0.0,1.0,2.0,0.0,0.0,0.67,0.0,0.67,0.44,0.44,2.5,0.7,0.54,0.16,4.5,5.0,0.0,41.7,1.11,0.17,0.4,0.06,0.5,1.3,48.0,81.0,59.3,677.0,223.0,27.0,37.0,73.0,13.0,23.0,56.5,4.0,6.0,66.7,5.0,6.0,3.0,0.0,5.0,78.0,2.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,12.0,2.66,8.0,0.0,0.0,2.0,1.0,2.0,0.44,1.0,0.0,0.0,1.0,0.0,0.0,4.0,2.0,1.0,1.0,2.0,3.0,5.0,60.0,2.0,3.0,0.0,3.0,0.0,2.0,0.0,128.0,2.0,9.0,46.0,73.0,30.0,126.0,0.0,1.0,0.0,59.0,3.0,5.0,0.0,92.0,11.0,5.0,0.0,3.0,6.0,3.0,0.0,0.0,0.0,11.0,18.0,27.0,40.0
-Tio Cipot,si SVN,DF,Spezia,19-290,2003,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,0.07,0.3,1.0,0.0,100.0,3.75,0.0,0.0,0.02,0.0,0.0,8.0,13.0,61.5,105.0,37.0,3.0,5.0,60.0,4.0,5.0,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,17.0,1.0,2.0,7.0,9.0,2.0,17.0,1.0,2.0,50.0,9.0,1.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Patrick Ciurria,it ITA,"DF,MF",Monza,27-360,1995,18.0,13.0,1174.0,3.0,4.0,0.0,0.0,2.0,0.0,0.23,0.31,0.54,0.23,0.54,2.3,2.3,0.18,0.18,13.0,8.0,0.0,38.1,0.61,0.14,0.38,0.11,0.7,0.7,459.0,568.0,80.8,7152.0,2177.0,249.0,276.0,90.2,159.0,207.0,76.8,34.0,54.0,63.0,20.0,30.0,17.0,9.0,37.0,479.0,87.0,4.0,1.0,1.0,36.0,8.0,0.0,6.0,0.0,75.0,2.0,4.0,33.0,2.53,25.0,4.0,1.0,2.0,1.0,3.0,0.23,3.0,0.0,0.0,0.0,0.0,0.0,18.0,9.0,12.0,6.0,0.0,8.0,17.0,47.1,9.0,11.0,1.0,10.0,2.0,12.0,0.0,701.0,14.0,156.0,295.0,256.0,26.0,701.0,1.0,18.0,5.6,356.0,31.0,21.0,5.0,456.0,27.0,10.0,0.0,13.0,18.0,3.0,0.0,0.0,0.0,55.0,5.0,6.0,45.5
-Omar Colley,gm GAM,DF,Sampdoria,30-103,1992,15.0,14.0,1294.0,1.0,0.0,0.0,0.0,5.0,0.0,0.07,0.0,0.07,0.07,0.07,1.2,1.2,0.08,0.08,14.4,3.0,0.0,60.0,0.21,0.2,0.33,0.24,-0.2,-0.2,599.0,694.0,86.3,11834.0,3897.0,162.0,183.0,88.5,368.0,399.0,92.2,57.0,92.0,62.0,0.0,38.0,1.0,0.0,33.0,663.0,30.0,21.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,4.0,0.28,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,10.0,5.0,0.0,8.0,10.0,80.0,2.0,7.0,4.0,3.0,21.0,56.0,1.0,821.0,93.0,429.0,375.0,18.0,8.0,821.0,2.0,2.0,100.0,499.0,3.0,1.0,0.0,507.0,4.0,2.0,0.0,13.0,18.0,1.0,0.0,0.0,0.0,70.0,25.0,23.0,52.1
-Lorenzo Colombo,it ITA,FW,Lecce,20-333,2002,18.0,10.0,835.0,4.0,2.0,0.0,1.0,2.0,0.0,0.43,0.22,0.65,0.43,0.65,3.7,3.0,0.4,0.32,9.3,8.0,0.0,32.0,0.86,0.16,0.5,0.12,0.3,1.0,127.0,196.0,64.8,1401.0,289.0,90.0,113.0,79.6,17.0,29.0,58.6,4.0,13.0,30.8,9.0,10.0,3.0,0.0,13.0,187.0,7.0,0.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,19.0,2.05,14.0,0.0,1.0,4.0,0.0,2.0,0.22,1.0,0.0,0.0,1.0,0.0,0.0,12.0,4.0,0.0,6.0,6.0,3.0,6.0,50.0,3.0,11.0,0.0,11.0,2.0,4.0,0.0,347.0,4.0,11.0,161.0,177.0,45.0,346.0,5.0,17.0,29.4,186.0,5.0,8.0,1.0,246.0,48.0,27.0,0.0,23.0,7.0,5.0,0.0,0.0,0.0,24.0,19.0,68.0,21.8
-Andrea Colpani,it ITA,MF,Monza,23-269,1999,14.0,4.0,469.0,2.0,0.0,0.0,0.0,1.0,0.0,0.38,0.0,0.38,0.38,0.38,1.0,1.0,0.19,0.19,5.2,3.0,0.0,25.0,0.58,0.17,0.67,0.08,1.0,1.0,164.0,205.0,80.0,2696.0,609.0,87.0,99.0,87.9,56.0,64.0,87.5,15.0,27.0,55.6,8.0,17.0,9.0,2.0,26.0,189.0,12.0,2.0,1.0,5.0,13.0,10.0,3.0,7.0,0.0,0.0,4.0,2.0,16.0,3.06,12.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,1.0,1.0,4.0,6.0,66.7,2.0,9.0,1.0,8.0,3.0,2.0,0.0,272.0,2.0,28.0,123.0,128.0,15.0,272.0,6.0,17.0,35.3,185.0,12.0,14.0,1.0,199.0,12.0,8.0,0.0,12.0,12.0,0.0,0.0,0.0,0.0,33.0,1.0,9.0,10.0
-Andrea Consigli,it ITA,GK,Sassuolo,36-008,1987,18.0,18.0,1620.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,643.0,819.0,78.5,18660.0,11739.0,100.0,100.0,100.0,258.0,261.0,98.9,283.0,455.0,62.2,0.0,11.0,0.0,0.0,1.0,589.0,229.0,62.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,0.33,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,849.0,668.0,839.0,9.0,1.0,0.0,849.0,0.0,0.0,0.0,482.0,0.0,0.0,0.0,432.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,21.0,6.0,0.0,100.0
-Andrea Conti,it ITA,DF,Sampdoria,28-339,1994,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,11.0,54.5,76.0,25.0,5.0,7.0,71.4,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,8.0,3.0,0.0,11.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Diego Coppola,it ITA,DF,Hellas Verona,19-038,2003,7.0,6.0,540.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,-0.2,-0.2,202.0,279.0,72.4,3768.0,1821.0,73.0,90.0,81.1,109.0,136.0,80.1,17.0,42.0,40.5,0.0,17.0,3.0,1.0,22.0,235.0,41.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,39.0,3.0,2.0,7.0,1.17,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,6.0,8.0,0.0,6.0,12.0,50.0,6.0,12.0,4.0,8.0,7.0,20.0,0.0,347.0,34.0,146.0,164.0,41.0,3.0,347.0,0.0,2.0,0.0,150.0,5.0,6.0,0.0,158.0,3.0,1.0,0.0,6.0,0.0,0.0,0.0,1.0,0.0,35.0,15.0,16.0,48.4
-Joaquín Correa,ar ARG,FW,Inter,28-175,1994,17.0,4.0,436.0,3.0,1.0,0.0,0.0,1.0,0.0,0.62,0.21,0.83,0.62,0.83,2.1,2.1,0.44,0.44,4.8,5.0,0.0,55.6,1.03,0.33,0.6,0.24,0.9,0.9,90.0,122.0,73.8,1388.0,270.0,46.0,57.0,80.7,31.0,37.0,83.8,7.0,7.0,100.0,5.0,8.0,1.0,0.0,8.0,118.0,2.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,8.0,14.0,2.9,9.0,0.0,0.0,3.0,2.0,3.0,0.62,3.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,1.0,4.0,2.0,2.0,2.0,100.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,181.0,1.0,10.0,89.0,86.0,18.0,181.0,1.0,14.0,7.1,117.0,5.0,8.0,6.0,143.0,22.0,12.0,0.0,6.0,10.0,1.0,0.0,0.0,0.0,16.0,4.0,9.0,30.8
-Alessandro Cortinovis,it ITA,MF,Hellas Verona,22-010,2001,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,77.0,35.0,3.0,3.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,2.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,8.0,0.0,3.0,0.0,5.0,0.0,8.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0
-Lassana Coulibaly,ml MLI,MF,Salernitana,26-300,1996,18.0,18.0,1494.0,1.0,2.0,0.0,0.0,6.0,0.0,0.06,0.12,0.18,0.06,0.18,0.4,0.4,0.02,0.02,16.6,3.0,0.0,37.5,0.18,0.13,0.33,0.05,0.6,0.6,477.0,569.0,83.8,7263.0,2135.0,240.0,270.0,88.9,196.0,220.0,89.1,18.0,37.0,48.6,11.0,47.0,6.0,1.0,56.0,559.0,9.0,8.0,2.0,2.0,7.0,0.0,0.0,0.0,0.0,1.0,1.0,15.0,32.0,1.93,27.0,1.0,1.0,0.0,3.0,5.0,0.3,5.0,0.0,0.0,0.0,0.0,0.0,51.0,27.0,26.0,20.0,5.0,20.0,39.0,51.3,19.0,18.0,2.0,16.0,9.0,14.0,2.0,764.0,38.0,189.0,451.0,142.0,11.0,764.0,19.0,45.0,42.2,440.0,28.0,19.0,5.0,471.0,33.0,16.0,0.0,29.0,21.0,1.0,0.0,0.0,0.0,106.0,11.0,17.0,39.3
-Bryan Cristante,it ITA,MF,Roma,27-338,1995,20.0,20.0,1659.0,1.0,0.0,0.0,0.0,4.0,0.0,0.05,0.0,0.05,0.05,0.05,1.1,1.1,0.06,0.06,18.4,3.0,0.0,17.6,0.16,0.06,0.33,0.06,-0.1,-0.1,817.0,1000.0,81.7,15137.0,4591.0,351.0,390.0,90.0,336.0,386.0,87.0,109.0,180.0,60.6,8.0,103.0,12.0,3.0,94.0,957.0,39.0,37.0,5.0,21.0,7.0,0.0,0.0,0.0,0.0,2.0,4.0,12.0,27.0,1.46,26.0,0.0,0.0,1.0,0.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,0.0,64.0,31.0,30.0,27.0,7.0,31.0,45.0,68.9,14.0,24.0,6.0,18.0,8.0,25.0,0.0,1170.0,44.0,311.0,755.0,113.0,17.0,1170.0,5.0,7.0,71.4,610.0,11.0,9.0,3.0,777.0,18.0,8.0,0.0,27.0,13.0,2.0,0.0,0.0,0.0,125.0,33.0,21.0,61.1
-Domen Črnigoj,si SVN,"MF,FW",Salernitana,27-078,1995,1.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,15.0,46.7,97.0,20.0,6.0,10.0,60.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,0.0,0.0,11.0,10.0,3.0,19.0,1.0,1.0,100.0,11.0,2.0,1.0,1.0,13.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Juan Cuadrado,co COL,"DF,FW",Juventus,34-254,1988,15.0,13.0,1030.0,0.0,3.0,0.0,0.0,3.0,1.0,0.0,0.26,0.26,0.0,0.26,0.9,0.9,0.08,0.08,11.4,5.0,2.0,27.8,0.44,0.0,0.0,0.05,-0.9,-0.9,509.0,610.0,83.4,9958.0,2590.0,209.0,233.0,89.7,211.0,241.0,87.6,83.0,116.0,71.6,25.0,24.0,15.0,7.0,44.0,536.0,73.0,13.0,0.0,11.0,45.0,19.0,7.0,11.0,0.0,41.0,1.0,8.0,43.0,3.75,23.0,11.0,2.0,3.0,4.0,6.0,0.52,2.0,2.0,0.0,0.0,2.0,0.0,30.0,18.0,22.0,8.0,0.0,14.0,27.0,51.9,13.0,9.0,1.0,8.0,12.0,16.0,0.0,755.0,20.0,199.0,354.0,206.0,28.0,755.0,6.0,23.0,26.1,407.0,19.0,15.0,11.0,514.0,21.0,5.0,0.0,14.0,18.0,0.0,0.0,0.0,0.0,48.0,6.0,4.0,60.0
-Marco D'Alessandro,it ITA,"DF,FW",Monza,31-352,1991,8.0,3.0,290.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,3.2,1.0,0.0,25.0,0.31,0.0,0.0,0.08,-0.3,-0.3,79.0,115.0,68.7,1182.0,302.0,50.0,57.0,87.7,23.0,36.0,63.9,4.0,9.0,44.4,3.0,4.0,0.0,0.0,3.0,100.0,14.0,2.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,12.0,1.0,3.0,8.0,2.49,7.0,0.0,0.0,0.0,1.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,3.0,1.0,0.0,2.0,4.0,50.0,2.0,2.0,0.0,2.0,1.0,3.0,0.0,141.0,1.0,37.0,55.0,52.0,10.0,141.0,1.0,5.0,20.0,80.0,14.0,4.0,5.0,89.0,4.0,5.0,0.0,6.0,9.0,1.0,0.0,0.0,0.0,19.0,2.0,2.0,50.0
-Danilo D'Ambrosio,it ITA,DF,Inter,34-148,1988,4.0,1.0,107.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,61.0,86.9,1004.0,337.0,17.0,18.0,94.4,32.0,34.0,94.1,4.0,9.0,44.4,0.0,5.0,1.0,0.0,7.0,60.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,1.68,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,4.0,5.0,80.0,1.0,4.0,2.0,2.0,2.0,6.0,0.0,79.0,12.0,44.0,29.0,6.0,1.0,79.0,0.0,0.0,0.0,46.0,2.0,1.0,1.0,47.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
-Luca D'Andrea,it ITA,FW,Sassuolo,18-151,2004,5.0,5.0,316.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.28,0.28,0.0,0.28,0.3,0.3,0.08,0.08,3.5,3.0,0.0,42.9,0.85,0.0,0.0,0.04,-0.3,-0.3,61.0,84.0,72.6,896.0,334.0,32.0,42.0,76.2,24.0,31.0,77.4,3.0,6.0,50.0,10.0,6.0,3.0,2.0,9.0,80.0,4.0,0.0,1.0,0.0,7.0,3.0,0.0,0.0,0.0,1.0,0.0,1.0,15.0,4.27,12.0,1.0,1.0,1.0,0.0,1.0,0.28,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,1.0,1.0,1.0,4.0,25.0,3.0,2.0,0.0,2.0,1.0,1.0,0.0,129.0,0.0,17.0,61.0,53.0,12.0,129.0,3.0,11.0,27.3,81.0,11.0,4.0,5.0,91.0,11.0,7.0,0.0,4.0,9.0,1.0,0.0,0.0,0.0,13.0,2.0,3.0,40.0
-Flavius Daniliuc,at AUT,DF,Salernitana,21-283,2001,13.0,11.0,1031.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.09,0.09,0.0,0.09,0.4,0.4,0.03,0.03,11.5,3.0,1.0,60.0,0.26,0.0,0.0,0.08,-0.4,-0.4,504.0,581.0,86.7,10115.0,3754.0,164.0,177.0,92.7,266.0,291.0,91.4,66.0,93.0,71.0,2.0,33.0,0.0,0.0,37.0,555.0,24.0,18.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,7.0,10.0,0.87,8.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,13.0,20.0,6.0,0.0,9.0,12.0,75.0,3.0,15.0,7.0,8.0,12.0,50.0,0.0,703.0,114.0,403.0,288.0,18.0,6.0,703.0,1.0,3.0,33.3,374.0,9.0,3.0,0.0,432.0,4.0,1.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,63.0,23.0,13.0,63.9
-Danilo,br BRA,DF,Juventus,31-204,1991,20.0,19.0,1723.0,2.0,2.0,0.0,0.0,3.0,0.0,0.1,0.1,0.21,0.1,0.21,1.6,1.6,0.08,0.08,19.1,2.0,0.0,13.3,0.1,0.13,1.0,0.11,0.4,0.4,958.0,1145.0,83.7,18681.0,6855.0,336.0,386.0,87.0,491.0,538.0,91.3,120.0,189.0,63.5,12.0,90.0,7.0,3.0,76.0,1039.0,102.0,25.0,3.0,10.0,16.0,0.0,0.0,0.0,0.0,67.0,4.0,10.0,30.0,1.57,27.0,1.0,0.0,1.0,1.0,2.0,0.1,1.0,0.0,0.0,1.0,0.0,0.0,45.0,27.0,29.0,13.0,3.0,21.0,30.0,70.0,9.0,19.0,10.0,9.0,27.0,62.0,1.0,1346.0,133.0,530.0,684.0,139.0,28.0,1346.0,2.0,13.0,15.4,686.0,16.0,15.0,0.0,865.0,12.0,5.0,0.0,19.0,10.0,0.0,0.0,0.0,0.0,98.0,27.0,20.0,57.4
-Matteo Darmian,it ITA,DF,Inter,33-064,1989,15.0,11.0,903.0,1.0,2.0,0.0,0.0,2.0,0.0,0.1,0.2,0.3,0.1,0.3,0.8,0.8,0.08,0.08,10.0,1.0,0.0,33.3,0.1,0.33,1.0,0.28,0.2,0.2,405.0,488.0,83.0,6965.0,2492.0,187.0,207.0,90.3,178.0,208.0,85.6,31.0,49.0,63.3,13.0,22.0,12.0,7.0,39.0,412.0,75.0,3.0,1.0,1.0,17.0,0.0,0.0,0.0,0.0,72.0,1.0,9.0,27.0,2.69,22.0,3.0,0.0,0.0,1.0,4.0,0.4,3.0,0.0,0.0,0.0,1.0,0.0,31.0,16.0,15.0,7.0,9.0,20.0,23.0,87.0,3.0,17.0,3.0,14.0,8.0,16.0,0.0,588.0,29.0,174.0,275.0,142.0,15.0,588.0,4.0,15.0,26.7,288.0,6.0,9.0,1.0,364.0,8.0,5.0,0.0,11.0,12.0,3.0,0.0,0.0,0.0,44.0,5.0,9.0,35.7
-Paweł Dawidowicz,pl POL,DF,Hellas Verona,27-260,1995,11.0,10.0,745.0,1.0,0.0,0.0,0.0,5.0,1.0,0.12,0.0,0.12,0.12,0.12,0.9,0.9,0.11,0.11,8.3,2.0,0.0,28.6,0.24,0.14,0.5,0.13,0.1,0.1,245.0,339.0,72.3,4386.0,1815.0,109.0,127.0,85.8,105.0,137.0,76.6,25.0,62.0,40.3,1.0,22.0,1.0,0.0,22.0,308.0,31.0,9.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,22.0,0.0,3.0,5.0,0.6,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,15.0,14.0,7.0,1.0,12.0,14.0,85.7,2.0,7.0,5.0,2.0,8.0,31.0,0.0,423.0,43.0,203.0,182.0,43.0,9.0,423.0,1.0,4.0,25.0,170.0,12.0,7.0,1.0,201.0,4.0,1.0,0.0,21.0,6.0,0.0,0.0,0.0,0.0,53.0,17.0,10.0,63.0
-Charles De Ketelaere,be BEL,"MF,FW",Milan,21-331,2001,17.0,6.0,690.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.13,0.13,0.0,0.13,1.1,1.1,0.14,0.14,7.7,3.0,0.0,25.0,0.39,0.0,0.0,0.09,-1.1,-1.1,174.0,230.0,75.7,2506.0,848.0,100.0,129.0,77.5,58.0,70.0,82.9,9.0,13.0,69.2,16.0,18.0,13.0,0.0,34.0,219.0,11.0,1.0,2.0,2.0,7.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,32.0,4.17,29.0,0.0,2.0,0.0,1.0,2.0,0.26,2.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,3.0,6.0,1.0,6.0,15.0,40.0,9.0,7.0,1.0,6.0,3.0,1.0,0.0,317.0,3.0,28.0,141.0,154.0,40.0,317.0,16.0,30.0,53.3,178.0,28.0,17.0,7.0,206.0,16.0,15.0,0.0,8.0,8.0,1.0,0.0,0.0,0.0,39.0,13.0,16.0,44.8
-Manuel De Luca,it ITA,FW,Sampdoria,24-202,1998,1.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,7.0,71.4,66.0,1.0,3.0,4.0,75.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.73,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,6.0,4.0,2.0,10.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,11.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Mattia De Sciglio,it ITA,DF,Juventus,30-107,1992,9.0,5.0,524.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,5.8,0.0,0.0,0.0,0.0,0.0,0.0,0.02,-0.1,-0.1,271.0,331.0,81.9,4977.0,1844.0,111.0,127.0,87.4,126.0,148.0,85.1,32.0,48.0,66.7,4.0,31.0,5.0,3.0,35.0,282.0,49.0,3.0,0.0,4.0,14.0,0.0,0.0,0.0,0.0,46.0,0.0,0.0,10.0,1.72,9.0,0.0,0.0,0.0,1.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,0.0,8.0,6.0,2.0,3.0,3.0,7.0,9.0,77.8,2.0,5.0,2.0,3.0,3.0,10.0,0.0,381.0,17.0,107.0,215.0,61.0,2.0,381.0,2.0,5.0,40.0,213.0,6.0,4.0,0.0,246.0,5.0,4.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,24.0,6.0,8.0,42.9
-Lorenzo De Silvestri,it ITA,DF,Bologna,34-257,1988,9.0,5.0,518.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.07,0.07,5.8,2.0,0.0,50.0,0.35,0.0,0.0,0.1,-0.4,-0.4,184.0,260.0,70.8,2890.0,1461.0,101.0,114.0,88.6,73.0,104.0,70.2,7.0,31.0,22.6,4.0,18.0,4.0,1.0,20.0,197.0,63.0,5.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,58.0,0.0,3.0,8.0,1.39,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,2.0,5.0,40.0,3.0,5.0,5.0,0.0,2.0,16.0,0.0,304.0,20.0,105.0,138.0,65.0,6.0,304.0,2.0,3.0,66.7,140.0,8.0,8.0,0.0,153.0,4.0,4.0,0.0,4.0,5.0,2.0,0.0,0.0,1.0,28.0,9.0,8.0,52.9
-Koni De Winter,be BEL,DF,Empoli,20-237,2002,10.0,8.0,715.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,305.0,351.0,86.9,5846.0,2116.0,110.0,118.0,93.2,169.0,184.0,91.8,26.0,45.0,57.8,2.0,14.0,1.0,0.0,17.0,334.0,17.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,4.0,0.5,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,9.0,2.0,0.0,4.0,6.0,66.7,2.0,10.0,10.0,0.0,6.0,39.0,0.0,433.0,83.0,284.0,148.0,3.0,0.0,433.0,1.0,2.0,50.0,244.0,1.0,1.0,0.0,267.0,5.0,2.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,34.0,13.0,7.0,65.0
-Grégoire Defrel,mq MTQ,FW,Sassuolo,31-232,1991,9.0,3.0,327.0,1.0,0.0,0.0,0.0,1.0,0.0,0.28,0.0,0.28,0.28,0.28,1.6,1.6,0.45,0.45,3.6,4.0,0.0,66.7,1.1,0.17,0.25,0.27,-0.6,-0.6,44.0,58.0,75.9,598.0,87.0,26.0,32.0,81.3,12.0,14.0,85.7,2.0,4.0,50.0,4.0,1.0,0.0,0.0,2.0,51.0,7.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.1,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,1.0,2.0,0.0,92.0,3.0,16.0,42.0,36.0,12.0,92.0,3.0,6.0,50.0,60.0,2.0,2.0,2.0,60.0,9.0,2.0,0.0,7.0,5.0,2.0,0.0,0.0,0.0,14.0,1.0,6.0,14.3
-Duccio Degli Innocenti,it ITA,MF,Empoli,19-282,2003,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Merih Demiral,tr TUR,DF,Atalanta,24-336,1998,17.0,12.0,1200.0,1.0,0.0,0.0,0.0,4.0,0.0,0.07,0.0,0.07,0.07,0.07,0.7,0.7,0.05,0.05,13.3,1.0,0.0,20.0,0.07,0.2,1.0,0.14,0.3,0.3,401.0,475.0,84.4,7453.0,2149.0,152.0,170.0,89.4,199.0,228.0,87.3,43.0,67.0,64.2,3.0,12.0,0.0,0.0,21.0,423.0,52.0,28.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,3.0,0.23,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,20.0,23.0,8.0,0.0,18.0,22.0,81.8,4.0,18.0,5.0,13.0,20.0,49.0,1.0,611.0,124.0,378.0,221.0,17.0,9.0,611.0,0.0,4.0,0.0,246.0,1.0,3.0,1.0,254.0,4.0,2.0,0.0,12.0,9.0,1.0,0.0,0.0,0.0,94.0,38.0,22.0,63.3
-Diego Demme,de GER,MF,Napoli,31-075,1991,3.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,47.0,47.0,100.0,747.0,174.0,23.0,23.0,100.0,15.0,15.0,100.0,7.0,7.0,100.0,0.0,5.0,1.0,0.0,7.0,47.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,49.0,0.0,0.0,40.0,9.0,0.0,49.0,0.0,0.0,0.0,30.0,0.0,1.0,0.0,46.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Fabio Depaoli,it ITA,DF,Hellas Verona,25-286,1997,15.0,12.0,1080.0,2.0,2.0,0.0,0.0,2.0,0.0,0.17,0.17,0.33,0.17,0.33,1.2,1.2,0.1,0.1,12.0,3.0,0.0,27.3,0.25,0.18,0.67,0.11,0.8,0.8,262.0,390.0,67.2,4914.0,2921.0,114.0,142.0,80.3,102.0,145.0,70.3,41.0,76.0,53.9,10.0,29.0,14.0,10.0,42.0,289.0,98.0,2.0,0.0,1.0,30.0,2.0,1.0,1.0,0.0,94.0,3.0,10.0,27.0,2.25,19.0,4.0,0.0,0.0,3.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,23.0,13.0,13.0,6.0,4.0,11.0,15.0,73.3,4.0,13.0,3.0,10.0,7.0,17.0,0.0,525.0,26.0,126.0,229.0,176.0,19.0,525.0,5.0,27.0,18.5,222.0,14.0,7.0,2.0,237.0,21.0,12.0,0.0,15.0,16.0,1.0,0.0,0.0,0.0,67.0,12.0,22.0,35.3
-Fabio Depaoli,it ITA,"DF,MF",Sampdoria,25-286,1997,3.0,1.0,136.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.12,0.12,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,74.0,95.0,77.9,1373.0,584.0,31.0,36.0,86.1,31.0,36.0,86.1,11.0,21.0,52.4,4.0,6.0,4.0,4.0,10.0,75.0,20.0,1.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,19.0,0.0,1.0,6.0,3.97,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,3.0,0.0,3.0,4.0,75.0,1.0,1.0,0.0,1.0,1.0,4.0,0.0,117.0,6.0,28.0,56.0,34.0,3.0,117.0,3.0,7.0,42.9,73.0,2.0,3.0,0.0,70.0,2.0,1.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,0.0
-Kastriot Dermaku,al ALB,DF,Lecce,31-020,1992,1.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,27.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Cyriel Dessers,ng NGA,FW,Cremonese,28-058,1994,17.0,14.0,1114.0,3.0,0.0,0.0,1.0,2.0,0.0,0.24,0.0,0.24,0.24,0.24,5.1,4.4,0.41,0.35,12.4,7.0,0.0,20.0,0.57,0.09,0.43,0.12,-2.1,-1.4,128.0,202.0,63.4,1851.0,307.0,69.0,104.0,66.3,46.0,63.0,73.0,6.0,11.0,54.5,17.0,9.0,5.0,0.0,21.0,180.0,22.0,0.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,2.0,0.0,6.0,27.0,2.18,18.0,2.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,3.0,3.0,1.0,2.0,3.0,66.7,1.0,11.0,2.0,9.0,3.0,3.0,0.0,334.0,6.0,12.0,118.0,206.0,88.0,333.0,6.0,22.0,27.3,186.0,13.0,5.0,17.0,238.0,37.0,15.0,0.0,23.0,10.0,17.0,0.0,0.0,0.0,20.0,7.0,31.0,18.4
-Sergiño Dest,us USA,DF,Milan,22-093,2000,8.0,2.0,329.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,3.7,1.0,0.0,50.0,0.27,0.0,0.0,0.15,-0.3,-0.3,169.0,198.0,85.4,2535.0,793.0,95.0,102.0,93.1,65.0,73.0,89.0,5.0,12.0,41.7,4.0,15.0,3.0,1.0,14.0,154.0,44.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,43.0,0.0,5.0,11.0,3.0,8.0,2.0,1.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,3.0,5.0,4.0,3.0,4.0,75.0,1.0,1.0,0.0,1.0,4.0,2.0,0.0,246.0,7.0,75.0,116.0,61.0,3.0,246.0,7.0,17.0,41.2,133.0,11.0,3.0,0.0,137.0,3.0,5.0,0.0,6.0,4.0,0.0,0.0,1.0,0.0,29.0,3.0,1.0,75.0
-Mattia Destro,it ITA,FW,Empoli,31-321,1991,10.0,6.0,456.0,1.0,0.0,0.0,0.0,2.0,0.0,0.2,0.0,0.2,0.2,0.2,1.2,1.2,0.24,0.24,5.1,6.0,0.0,33.3,1.18,0.06,0.17,0.07,-0.2,-0.2,33.0,59.0,55.9,387.0,85.0,23.0,32.0,71.9,5.0,15.0,33.3,2.0,4.0,50.0,4.0,1.0,1.0,0.0,2.0,57.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,8.0,1.58,4.0,0.0,2.0,1.0,1.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,4.0,0.0,113.0,5.0,8.0,49.0,56.0,25.0,113.0,2.0,7.0,28.6,66.0,4.0,1.0,3.0,82.0,12.0,5.0,0.0,9.0,3.0,7.0,0.0,1.0,0.0,6.0,6.0,16.0,27.3
-Gerard Deulofeu,es ESP,FW,Udinese,28-328,1994,16.0,15.0,1211.0,2.0,6.0,0.0,0.0,1.0,0.0,0.15,0.45,0.59,0.15,0.59,5.1,5.1,0.38,0.38,13.5,12.0,10.0,27.3,0.89,0.05,0.17,0.11,-3.1,-3.1,443.0,588.0,75.3,6574.0,2331.0,260.0,294.0,88.4,139.0,181.0,76.8,27.0,64.0,42.2,48.0,40.0,42.0,2.0,82.0,475.0,110.0,27.0,1.0,0.0,59.0,43.0,20.0,14.0,0.0,14.0,3.0,14.0,83.0,6.16,55.0,14.0,6.0,5.0,3.0,9.0,0.67,7.0,2.0,0.0,0.0,0.0,0.0,8.0,5.0,5.0,1.0,2.0,5.0,14.0,35.7,9.0,8.0,1.0,7.0,2.0,1.0,0.0,725.0,5.0,44.0,295.0,400.0,82.0,725.0,19.0,44.0,43.2,455.0,72.0,39.0,33.0,506.0,22.0,18.0,0.0,8.0,11.0,8.0,0.0,0.0,0.0,44.0,1.0,4.0,20.0
-Samuel Di Carmine,it ITA,"FW,MF",Cremonese,34-128,1988,2.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.28,0.28,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.1,-0.1,6.0,8.0,75.0,79.0,30.0,4.0,5.0,80.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,4.0,5.0,2.0,9.0,1.0,1.0,100.0,6.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0
-Federico Di Francesco,it ITA,"FW,MF",Lecce,28-235,1994,20.0,11.0,969.0,1.0,2.0,0.0,0.0,3.0,0.0,0.09,0.19,0.28,0.09,0.28,1.7,1.7,0.16,0.16,10.8,9.0,1.0,42.9,0.84,0.05,0.11,0.08,-0.7,-0.7,182.0,268.0,67.9,2466.0,742.0,111.0,129.0,86.0,51.0,80.0,63.8,8.0,26.0,30.8,14.0,10.0,10.0,1.0,24.0,243.0,23.0,1.0,4.0,2.0,21.0,17.0,0.0,2.0,0.0,5.0,2.0,9.0,26.0,2.42,15.0,4.0,2.0,1.0,3.0,5.0,0.46,2.0,1.0,1.0,1.0,0.0,0.0,14.0,9.0,3.0,5.0,6.0,3.0,11.0,27.3,8.0,11.0,0.0,11.0,6.0,9.0,0.0,388.0,11.0,51.0,152.0,191.0,39.0,388.0,5.0,19.0,26.3,246.0,28.0,12.0,11.0,267.0,25.0,14.0,0.0,23.0,16.0,4.0,1.0,0.0,0.0,41.0,4.0,8.0,33.3
-Michele Di Gregorio,it ITA,GK,Monza,25-192,1997,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,596.0,792.0,75.3,15450.0,10294.0,148.0,148.0,100.0,251.0,256.0,98.0,194.0,385.0,50.4,0.0,9.0,0.0,0.0,0.0,612.0,180.0,59.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,1.0,838.0,681.0,835.0,3.0,0.0,0.0,838.0,2.0,2.0,100.0,502.0,0.0,0.0,0.0,438.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,2.0,1.0,66.7
-Giovanni Di Lorenzo,it ITA,DF,Napoli,29-184,1993,20.0,20.0,1788.0,1.0,3.0,0.0,0.0,2.0,0.0,0.05,0.15,0.2,0.05,0.2,1.2,1.2,0.06,0.06,19.9,4.0,0.0,28.6,0.2,0.07,0.25,0.08,-0.2,-0.2,1240.0,1432.0,86.6,20134.0,7575.0,642.0,686.0,93.6,479.0,546.0,87.7,92.0,135.0,68.1,28.0,93.0,37.0,8.0,144.0,1213.0,216.0,43.0,1.0,13.0,50.0,1.0,0.0,0.0,0.0,171.0,3.0,18.0,71.0,3.57,62.0,4.0,0.0,2.0,2.0,12.0,0.6,12.0,0.0,0.0,0.0,0.0,0.0,36.0,18.0,19.0,13.0,4.0,14.0,25.0,56.0,11.0,19.0,4.0,15.0,15.0,35.0,0.0,1580.0,58.0,415.0,767.0,414.0,52.0,1580.0,6.0,21.0,28.6,968.0,34.0,34.0,2.0,1107.0,12.0,13.0,0.0,15.0,18.0,3.0,0.0,0.0,0.0,99.0,21.0,21.0,50.0
-Ángel Di María,ar ARG,FW,Juventus,34-355,1988,11.0,7.0,547.0,3.0,2.0,1.0,1.0,0.0,1.0,0.49,0.33,0.82,0.33,0.66,1.8,1.0,0.29,0.16,6.1,6.0,0.0,37.5,0.99,0.13,0.33,0.06,1.2,1.0,187.0,248.0,75.4,3623.0,1332.0,85.0,97.0,87.6,64.0,80.0,80.0,34.0,53.0,64.2,19.0,21.0,15.0,6.0,30.0,204.0,42.0,13.0,4.0,5.0,38.0,18.0,7.0,9.0,0.0,8.0,2.0,7.0,34.0,5.59,17.0,11.0,3.0,3.0,0.0,4.0,0.66,3.0,1.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,3.0,1.0,2.0,7.0,28.6,5.0,6.0,0.0,6.0,2.0,0.0,0.0,320.0,1.0,26.0,131.0,168.0,15.0,319.0,9.0,25.0,36.0,195.0,15.0,14.0,4.0,236.0,14.0,16.0,0.0,4.0,7.0,1.0,0.0,0.0,0.0,22.0,1.0,0.0,100.0
-Boulaye Dia,sn SEN,FW,Salernitana,26-080,1996,19.0,15.0,1375.0,8.0,4.0,0.0,0.0,1.0,0.0,0.52,0.26,0.79,0.52,0.79,4.5,4.5,0.29,0.29,15.3,13.0,0.0,56.5,0.85,0.35,0.62,0.19,3.5,3.5,243.0,317.0,76.7,3632.0,740.0,125.0,152.0,82.2,85.0,101.0,84.2,14.0,21.0,66.7,21.0,10.0,13.0,2.0,31.0,311.0,4.0,0.0,2.0,3.0,6.0,0.0,0.0,0.0,0.0,1.0,2.0,17.0,38.0,2.49,32.0,0.0,1.0,4.0,1.0,5.0,0.33,5.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,2.0,3.0,2.0,0.0,3.0,0.0,3.0,2.0,0.0,2.0,3.0,12.0,1.0,452.0,12.0,59.0,196.0,204.0,44.0,452.0,16.0,38.0,42.1,326.0,22.0,20.0,8.0,355.0,38.0,36.0,0.0,13.0,19.0,8.0,0.0,0.0,0.0,49.0,11.0,25.0,30.6
-Brahim Díaz,es ESP,MF,Milan,23-185,1999,17.0,14.0,913.0,4.0,3.0,0.0,0.0,2.0,0.0,0.39,0.3,0.69,0.39,0.69,2.6,2.6,0.25,0.25,10.1,8.0,1.0,40.0,0.79,0.2,0.5,0.13,1.4,1.4,268.0,346.0,77.5,3973.0,1262.0,138.0,161.0,85.7,99.0,119.0,83.2,15.0,30.0,50.0,21.0,44.0,21.0,1.0,65.0,323.0,22.0,4.0,6.0,0.0,12.0,5.0,0.0,4.0,0.0,4.0,1.0,12.0,42.0,4.14,30.0,1.0,5.0,4.0,1.0,8.0,0.79,3.0,0.0,2.0,2.0,0.0,1.0,14.0,8.0,1.0,10.0,3.0,0.0,1.0,0.0,1.0,9.0,0.0,9.0,5.0,4.0,0.0,470.0,3.0,28.0,268.0,188.0,32.0,470.0,15.0,30.0,50.0,308.0,43.0,26.0,8.0,340.0,28.0,24.0,0.0,16.0,18.0,2.0,0.0,0.0,0.0,53.0,2.0,7.0,22.2
-Federico Dimarco,it ITA,DF,Inter,25-086,1997,20.0,18.0,1397.0,3.0,1.0,0.0,0.0,0.0,0.0,0.19,0.06,0.26,0.19,0.26,1.9,1.9,0.13,0.13,15.5,9.0,5.0,31.0,0.58,0.1,0.33,0.07,1.1,1.1,621.0,854.0,72.7,12207.0,4335.0,261.0,303.0,86.1,245.0,308.0,79.5,100.0,200.0,50.0,37.0,41.0,24.0,17.0,56.0,700.0,152.0,30.0,0.0,20.0,138.0,42.0,9.0,28.0,0.0,75.0,2.0,10.0,66.0,4.25,40.0,22.0,1.0,1.0,1.0,4.0,0.26,3.0,0.0,1.0,0.0,0.0,0.0,20.0,15.0,5.0,10.0,5.0,7.0,11.0,63.6,4.0,12.0,4.0,8.0,12.0,19.0,0.0,987.0,35.0,229.0,386.0,380.0,39.0,987.0,2.0,12.0,16.7,528.0,32.0,19.0,3.0,634.0,14.0,7.0,0.0,9.0,19.0,3.0,0.0,1.0,0.0,80.0,3.0,8.0,27.3
-Koffi Djidji,ci CIV,DF,Torino,30-066,1992,17.0,15.0,1352.0,1.0,0.0,0.0,0.0,2.0,0.0,0.07,0.0,0.07,0.07,0.07,0.7,0.7,0.04,0.04,15.0,3.0,0.0,42.9,0.2,0.14,0.33,0.1,0.3,0.3,681.0,796.0,85.6,12571.0,3525.0,260.0,281.0,92.5,346.0,381.0,90.8,65.0,105.0,61.9,2.0,54.0,3.0,2.0,52.0,773.0,20.0,8.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,11.0,3.0,11.0,8.0,0.53,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,12.0,17.0,8.0,1.0,7.0,13.0,53.8,6.0,17.0,9.0,8.0,25.0,40.0,0.0,939.0,74.0,421.0,458.0,66.0,6.0,939.0,1.0,1.0,100.0,488.0,6.0,7.0,0.0,602.0,4.0,4.0,0.0,17.0,2.0,1.0,0.0,2.0,0.0,75.0,26.0,27.0,49.1
-Berat Djimsiti,al ALB,DF,Atalanta,29-350,1993,8.0,4.0,443.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,4.9,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,265.0,296.0,89.5,4414.0,1416.0,125.0,136.0,91.9,122.0,126.0,96.8,14.0,27.0,51.9,1.0,14.0,0.0,0.0,10.0,288.0,7.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,2.0,0.41,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,8.0,4.0,0.0,6.0,6.0,100.0,0.0,5.0,2.0,3.0,6.0,18.0,0.0,348.0,31.0,175.0,153.0,21.0,3.0,348.0,0.0,1.0,0.0,214.0,2.0,2.0,0.0,234.0,1.0,3.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,23.0,9.0,7.0,56.3
-Dodô,br BRA,DF,Fiorentina,24-079,1998,16.0,14.0,1108.0,0.0,1.0,0.0,0.0,5.0,1.0,0.0,0.08,0.08,0.0,0.08,0.2,0.2,0.02,0.02,12.3,1.0,0.0,25.0,0.08,0.0,0.0,0.05,-0.2,-0.2,611.0,724.0,84.4,10702.0,2950.0,275.0,297.0,92.6,272.0,319.0,85.3,57.0,87.0,65.5,9.0,38.0,11.0,2.0,73.0,631.0,93.0,12.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,81.0,0.0,12.0,28.0,2.27,26.0,1.0,0.0,0.0,1.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,18.0,8.0,8.0,7.0,3.0,10.0,16.0,62.5,6.0,9.0,0.0,9.0,10.0,13.0,0.0,807.0,22.0,201.0,391.0,218.0,9.0,807.0,4.0,11.0,36.4,504.0,24.0,29.0,2.0,539.0,13.0,5.0,1.0,22.0,14.0,0.0,0.0,1.0,0.0,85.0,9.0,4.0,69.2
-Josh Doig,sct SCO,DF,Hellas Verona,20-262,2002,13.0,9.0,847.0,2.0,3.0,0.0,0.0,0.0,0.0,0.21,0.32,0.53,0.21,0.53,1.3,1.3,0.14,0.14,9.4,5.0,0.0,41.7,0.53,0.17,0.4,0.11,0.7,0.7,207.0,319.0,64.9,3566.0,1857.0,108.0,135.0,80.0,70.0,106.0,66.0,24.0,49.0,49.0,10.0,19.0,10.0,6.0,15.0,252.0,64.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,64.0,3.0,16.0,22.0,2.33,17.0,1.0,3.0,0.0,1.0,5.0,0.53,4.0,0.0,1.0,0.0,0.0,0.0,14.0,3.0,2.0,5.0,7.0,3.0,7.0,42.9,4.0,9.0,2.0,7.0,9.0,6.0,0.0,417.0,11.0,101.0,140.0,186.0,19.0,417.0,11.0,33.0,33.3,195.0,31.0,20.0,4.0,224.0,17.0,11.0,0.0,7.0,4.0,2.0,0.0,0.0,0.0,58.0,11.0,9.0,55.0
-Nicolás Domínguez,ar ARG,MF,Bologna,24-221,1998,17.0,14.0,1246.0,1.0,2.0,0.0,0.0,5.0,0.0,0.07,0.14,0.22,0.07,0.22,1.1,1.1,0.08,0.08,13.8,6.0,0.0,28.6,0.43,0.05,0.17,0.05,-0.1,-0.1,531.0,677.0,78.4,8362.0,2455.0,280.0,328.0,85.4,175.0,218.0,80.3,47.0,74.0,63.5,22.0,56.0,13.0,0.0,74.0,635.0,37.0,21.0,13.0,9.0,12.0,0.0,0.0,0.0,0.0,13.0,5.0,16.0,42.0,3.03,35.0,2.0,2.0,0.0,2.0,4.0,0.29,4.0,0.0,0.0,0.0,0.0,0.0,48.0,29.0,24.0,17.0,7.0,23.0,40.0,57.5,17.0,17.0,2.0,15.0,7.0,9.0,1.0,833.0,19.0,158.0,454.0,229.0,20.0,833.0,8.0,14.0,57.1,405.0,22.0,18.0,3.0,542.0,36.0,12.0,0.0,26.0,19.0,0.0,0.0,1.0,0.0,81.0,16.0,18.0,47.1
-Giulio Donati,it ITA,DF,Monza,32-364,1990,4.0,2.0,212.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,137.0,161.0,85.1,2784.0,1026.0,40.0,45.0,88.9,80.0,86.0,93.0,16.0,26.0,61.5,0.0,10.0,0.0,0.0,14.0,143.0,17.0,4.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,13.0,1.0,2.0,1.0,0.42,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,0.0,2.0,3.0,4.0,75.0,1.0,2.0,1.0,1.0,4.0,2.0,0.0,178.0,15.0,91.0,65.0,25.0,0.0,178.0,0.0,2.0,0.0,111.0,2.0,4.0,0.0,126.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,13.0,2.0,1.0,66.7
-Bartłomiej Drągowski,pl POL,GK,Spezia,25-169,1997,18.0,18.0,1572.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,397.0,586.0,67.7,10859.0,7609.0,104.0,104.0,100.0,161.0,163.0,98.8,127.0,312.0,40.7,0.0,9.0,1.0,0.0,0.0,435.0,150.0,44.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,0.17,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,10.0,1.0,643.0,526.0,640.0,3.0,0.0,0.0,643.0,0.0,0.0,0.0,375.0,0.0,0.0,0.0,303.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,29.0,6.0,0.0,100.0
-Ondrej Duda,sk SVK,MF,Hellas Verona,28-061,1994,1.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,18.0,77.8,275.0,75.0,4.0,4.0,100.0,7.0,8.0,87.5,2.0,5.0,40.0,1.0,2.0,0.0,0.0,3.0,18.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.18,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,20.0,0.0,0.0,15.0,6.0,0.0,20.0,0.0,0.0,0.0,14.0,1.0,1.0,0.0,9.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
-Denzel Dumfries,nl NED,DF,Inter,26-292,1996,18.0,14.0,1195.0,1.0,2.0,0.0,0.0,3.0,0.0,0.08,0.15,0.23,0.08,0.23,2.5,2.5,0.19,0.19,13.3,9.0,0.0,45.0,0.68,0.05,0.11,0.12,-1.5,-1.5,358.0,490.0,73.1,5925.0,1988.0,171.0,199.0,85.9,149.0,203.0,73.4,29.0,59.0,49.2,19.0,9.0,16.0,7.0,33.0,405.0,84.0,2.0,0.0,1.0,43.0,0.0,0.0,0.0,0.0,82.0,1.0,11.0,45.0,3.39,28.0,3.0,1.0,7.0,5.0,6.0,0.45,4.0,0.0,0.0,1.0,1.0,0.0,12.0,6.0,4.0,6.0,2.0,7.0,13.0,53.8,6.0,17.0,4.0,13.0,10.0,18.0,0.0,632.0,25.0,132.0,264.0,248.0,54.0,632.0,6.0,22.0,27.3,332.0,33.0,21.0,12.0,387.0,21.0,10.0,0.0,13.0,22.0,2.0,0.0,0.0,1.0,50.0,23.0,16.0,59.0
-Alfred Duncan,gh GHA,MF,Fiorentina,29-331,1993,13.0,6.0,537.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,217.0,284.0,76.4,3924.0,1371.0,87.0,103.0,84.5,97.0,115.0,84.3,24.0,46.0,52.2,3.0,31.0,8.0,4.0,39.0,274.0,9.0,7.0,2.0,1.0,11.0,0.0,0.0,0.0,0.0,2.0,1.0,6.0,17.0,2.83,16.0,0.0,0.0,1.0,0.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,0.0,12.0,0.0,8.0,14.0,57.1,6.0,4.0,0.0,4.0,3.0,4.0,0.0,335.0,5.0,48.0,206.0,84.0,3.0,335.0,4.0,11.0,36.4,194.0,8.0,10.0,1.0,223.0,7.0,10.0,0.0,11.0,3.0,0.0,0.0,0.0,0.0,34.0,8.0,3.0,72.7
-Paulo Dybala,ar ARG,"MF,FW",Roma,29-081,1993,14.0,13.0,1020.0,7.0,4.0,1.0,1.0,3.0,0.0,0.62,0.35,0.97,0.53,0.88,4.8,4.0,0.42,0.35,11.3,12.0,2.0,36.4,1.06,0.18,0.5,0.12,2.2,2.0,374.0,474.0,78.9,6693.0,1688.0,192.0,215.0,89.3,111.0,140.0,79.3,56.0,82.0,68.3,32.0,30.0,13.0,0.0,42.0,430.0,42.0,13.0,1.0,16.0,38.0,24.0,6.0,17.0,0.0,4.0,2.0,14.0,57.0,5.03,33.0,14.0,1.0,5.0,4.0,5.0,0.44,3.0,0.0,0.0,1.0,1.0,0.0,8.0,1.0,1.0,4.0,3.0,6.0,11.0,54.5,5.0,8.0,0.0,8.0,6.0,3.0,0.0,619.0,1.0,55.0,315.0,257.0,44.0,618.0,10.0,28.0,35.7,389.0,33.0,28.0,10.0,453.0,36.0,19.0,0.0,7.0,27.0,1.0,2.0,0.0,0.0,49.0,2.0,8.0,20.0
-Edin Džeko,ba BIH,FW,Inter,36-324,1986,20.0,14.0,1228.0,7.0,3.0,0.0,0.0,3.0,0.0,0.51,0.22,0.73,0.51,0.73,7.5,7.5,0.55,0.55,13.6,18.0,0.0,35.3,1.32,0.14,0.39,0.15,-0.5,-0.5,240.0,341.0,70.4,3856.0,1004.0,123.0,162.0,75.9,85.0,115.0,73.9,21.0,38.0,55.3,15.0,29.0,14.0,0.0,47.0,325.0,14.0,0.0,4.0,5.0,12.0,0.0,0.0,0.0,0.0,1.0,2.0,9.0,45.0,3.29,36.0,0.0,0.0,9.0,0.0,10.0,0.73,7.0,0.0,0.0,3.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,4.0,0.0,4.0,12.0,0.0,12.0,2.0,20.0,0.0,509.0,23.0,52.0,243.0,220.0,73.0,509.0,3.0,16.0,18.8,260.0,20.0,7.0,7.0,394.0,36.0,12.0,0.0,21.0,19.0,7.0,0.0,0.0,0.0,42.0,29.0,24.0,54.7
-Festy Ebosele,ie IRL,DF,Udinese,20-186,2002,4.0,0.0,26.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.27,0.27,0.3,1.0,0.0,100.0,3.46,0.0,0.0,0.07,-0.1,-0.1,10.0,14.0,71.4,176.0,84.0,5.0,6.0,83.3,4.0,5.0,80.0,1.0,2.0,50.0,0.0,0.0,2.0,1.0,2.0,11.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,26.0,0.0,2.0,11.0,13.0,1.0,26.0,2.0,4.0,50.0,12.0,3.0,3.0,0.0,14.0,4.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,100.0
-Enzo Ebosse,cm CMR,DF,Udinese,23-330,1999,17.0,8.0,902.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,439.0,538.0,81.6,8546.0,3094.0,173.0,193.0,89.6,196.0,231.0,84.8,64.0,100.0,64.0,1.0,40.0,4.0,1.0,49.0,461.0,76.0,17.0,0.0,11.0,15.0,1.0,0.0,0.0,0.0,58.0,1.0,3.0,8.0,0.8,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,11.0,3.0,0.0,8.0,11.0,72.7,3.0,25.0,5.0,20.0,10.0,29.0,0.0,641.0,49.0,284.0,289.0,71.0,0.0,641.0,4.0,7.0,57.1,324.0,10.0,7.0,1.0,367.0,6.0,3.0,0.0,9.0,4.0,1.0,0.0,0.0,0.0,48.0,15.0,14.0,51.7
-Tyronne Ebuehi,ng NGA,DF,Empoli,27-050,1995,11.0,7.0,683.0,1.0,1.0,0.0,0.0,0.0,0.0,0.13,0.13,0.26,0.13,0.26,0.5,0.5,0.06,0.06,7.6,2.0,0.0,33.3,0.26,0.17,0.5,0.08,0.5,0.5,259.0,332.0,78.0,4316.0,1670.0,117.0,134.0,87.3,113.0,140.0,80.7,20.0,37.0,54.1,3.0,12.0,4.0,3.0,11.0,261.0,69.0,4.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,65.0,2.0,12.0,10.0,1.32,9.0,1.0,0.0,0.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,2.0,5.0,3.0,3.0,3.0,100.0,0.0,9.0,6.0,3.0,4.0,28.0,1.0,403.0,42.0,165.0,175.0,68.0,8.0,403.0,1.0,6.0,16.7,196.0,9.0,8.0,2.0,222.0,5.0,4.0,0.0,3.0,9.0,1.0,0.0,0.0,0.0,32.0,3.0,10.0,23.1
-Éderson,br BRA,"MF,FW",Atalanta,23-212,1999,17.0,10.0,958.0,1.0,0.0,0.0,0.0,2.0,0.0,0.09,0.0,0.09,0.09,0.09,1.2,1.2,0.11,0.11,10.6,4.0,0.0,22.2,0.38,0.06,0.25,0.07,-0.2,-0.2,343.0,429.0,80.0,5900.0,1669.0,160.0,184.0,87.0,132.0,157.0,84.1,37.0,52.0,71.2,11.0,23.0,10.0,3.0,32.0,412.0,16.0,9.0,0.0,6.0,11.0,3.0,1.0,0.0,0.0,1.0,1.0,10.0,25.0,2.35,17.0,1.0,1.0,5.0,1.0,2.0,0.19,1.0,0.0,0.0,0.0,1.0,0.0,37.0,20.0,7.0,24.0,6.0,12.0,18.0,66.7,6.0,18.0,1.0,17.0,14.0,8.0,0.0,598.0,20.0,137.0,298.0,171.0,31.0,598.0,8.0,23.0,34.8,338.0,12.0,14.0,8.0,392.0,29.0,14.0,0.0,14.0,21.0,0.0,0.0,1.0,0.0,70.0,5.0,13.0,27.8
-Kingsley Ehizibue,nl NED,DF,Udinese,27-255,1995,15.0,4.0,551.0,1.0,0.0,0.0,0.0,3.0,0.0,0.16,0.0,0.16,0.16,0.16,0.6,0.6,0.1,0.1,6.1,1.0,0.0,25.0,0.16,0.25,1.0,0.15,0.4,0.4,183.0,256.0,71.5,3147.0,1247.0,81.0,104.0,77.9,78.0,100.0,78.0,20.0,35.0,57.1,4.0,16.0,6.0,4.0,18.0,220.0,36.0,1.0,0.0,1.0,14.0,0.0,0.0,0.0,0.0,35.0,0.0,13.0,13.0,2.13,9.0,2.0,0.0,1.0,1.0,2.0,0.33,1.0,0.0,0.0,0.0,1.0,0.0,16.0,12.0,8.0,7.0,1.0,11.0,13.0,84.6,2.0,5.0,1.0,4.0,3.0,18.0,0.0,326.0,22.0,115.0,112.0,103.0,9.0,326.0,2.0,12.0,16.7,157.0,12.0,6.0,1.0,164.0,6.0,5.0,0.0,15.0,8.0,1.0,0.0,0.0,0.0,35.0,9.0,6.0,60.0
-Albin Ekdal,se SWE,MF,Spezia,33-191,1989,14.0,5.0,547.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.16,0.16,0.0,0.16,0.6,0.6,0.11,0.11,6.1,1.0,0.0,16.7,0.16,0.0,0.0,0.11,-0.6,-0.6,160.0,226.0,70.8,2374.0,935.0,90.0,115.0,78.3,55.0,75.0,73.3,7.0,16.0,43.8,3.0,17.0,6.0,0.0,27.0,219.0,5.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,18.0,2.97,15.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,8.0,5.0,6.0,0.0,5.0,15.0,33.3,10.0,6.0,0.0,6.0,5.0,10.0,0.0,295.0,12.0,68.0,170.0,61.0,9.0,295.0,2.0,3.0,66.7,157.0,4.0,6.0,0.0,157.0,15.0,5.0,1.0,12.0,12.0,0.0,0.0,0.0,0.0,43.0,7.0,7.0,50.0
-Emmanuel Ekong,se SWE,"FW,MF",Empoli,20-224,2002,2.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,3.0,4.0,75.0,54.0,0.0,2.0,3.0,66.7,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,4.0,2.0,0.0,6.0,0.0,1.0,0.0,3.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Mikael Ellertsson,is ISL,"MF,DF",Spezia,20-330,2002,11.0,1.0,171.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,24.0,40.0,60.0,322.0,82.0,16.0,18.0,88.9,7.0,14.0,50.0,0.0,5.0,0.0,1.0,3.0,0.0,0.0,3.0,39.0,1.0,0.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,5.0,2.65,2.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,3.0,0.0,0.0,3.0,0.0,3.0,2.0,1.0,1.0,2.0,0.0,0.0,60.0,3.0,11.0,31.0,19.0,0.0,60.0,1.0,3.0,33.3,21.0,3.0,2.0,0.0,25.0,2.0,2.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,7.0,2.0,2.0,50.0
-Elif Elmas,mk MKD,"FW,MF",Napoli,23-133,1999,19.0,6.0,795.0,5.0,1.0,1.0,1.0,1.0,0.0,0.57,0.11,0.68,0.45,0.57,3.1,2.3,0.35,0.26,8.8,7.0,0.0,43.8,0.79,0.25,0.57,0.15,1.9,1.7,340.0,411.0,82.7,4482.0,1040.0,220.0,245.0,89.8,90.0,114.0,78.9,12.0,20.0,60.0,10.0,21.0,10.0,2.0,27.0,393.0,16.0,4.0,1.0,0.0,7.0,7.0,2.0,1.0,0.0,3.0,2.0,3.0,25.0,2.83,19.0,0.0,3.0,2.0,1.0,4.0,0.45,2.0,0.0,1.0,1.0,0.0,0.0,9.0,4.0,4.0,2.0,3.0,5.0,7.0,71.4,2.0,5.0,0.0,5.0,8.0,3.0,0.0,502.0,5.0,52.0,226.0,229.0,31.0,501.0,11.0,26.0,42.3,316.0,16.0,16.0,8.0,386.0,17.0,10.0,0.0,9.0,6.0,2.0,0.0,0.0,0.0,33.0,1.0,8.0,11.1
-Martin Erlic,hr CRO,DF,Sassuolo,25-011,1998,13.0,13.0,1131.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,12.6,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.1,-0.1,489.0,561.0,87.2,10649.0,3368.0,127.0,138.0,92.0,266.0,286.0,93.0,92.0,127.0,72.4,0.0,21.0,0.0,0.0,22.0,534.0,26.0,24.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,5.0,7.0,0.56,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,6.0,4.0,0.0,4.0,10.0,40.0,6.0,23.0,13.0,10.0,17.0,50.0,0.0,685.0,89.0,389.0,295.0,4.0,1.0,685.0,0.0,1.0,0.0,390.0,1.0,1.0,1.0,421.0,6.0,1.0,0.0,11.0,8.0,0.0,0.0,0.0,0.0,58.0,15.0,16.0,48.4
-Gonzalo Escalante,ar ARG,MF,Cremonese,29-314,1993,9.0,7.0,555.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.16,0.16,0.0,0.16,0.2,0.2,0.03,0.03,6.2,1.0,0.0,16.7,0.16,0.0,0.0,0.03,-0.2,-0.2,222.0,290.0,76.6,3755.0,1430.0,99.0,117.0,84.6,103.0,122.0,84.4,16.0,36.0,44.4,4.0,30.0,2.0,0.0,30.0,279.0,8.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,10.0,1.62,8.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,8.0,8.0,8.0,0.0,10.0,13.0,76.9,3.0,7.0,1.0,6.0,10.0,4.0,0.0,352.0,16.0,103.0,199.0,56.0,7.0,352.0,1.0,5.0,20.0,174.0,3.0,4.0,0.0,226.0,7.0,7.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,39.0,9.0,9.0,50.0
-Salvatore Esposito,it ITA,MF,Spezia,22-120,2000,2.0,0.0,57.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.6,0.0,1.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,56.0,71.0,78.9,863.0,319.0,32.0,37.0,86.5,23.0,27.0,85.2,0.0,4.0,0.0,0.0,9.0,0.0,0.0,8.0,67.0,4.0,3.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.58,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,1.0,100.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,76.0,0.0,12.0,47.0,18.0,0.0,76.0,0.0,0.0,0.0,45.0,0.0,0.0,0.0,54.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,100.0
-Nicolò Fagioli,it ITA,MF,Juventus,21-357,2001,11.0,6.0,519.0,2.0,1.0,0.0,0.0,0.0,0.0,0.35,0.17,0.52,0.35,0.52,0.3,0.3,0.06,0.06,5.8,4.0,0.0,80.0,0.69,0.4,0.5,0.07,1.7,1.7,187.0,228.0,82.0,3300.0,669.0,89.0,100.0,89.0,69.0,78.0,88.5,24.0,40.0,60.0,10.0,13.0,6.0,2.0,20.0,212.0,16.0,6.0,0.0,7.0,13.0,6.0,1.0,3.0,0.0,4.0,0.0,4.0,16.0,2.77,11.0,2.0,0.0,1.0,2.0,2.0,0.35,1.0,0.0,0.0,0.0,1.0,0.0,10.0,4.0,3.0,5.0,2.0,4.0,8.0,50.0,4.0,6.0,2.0,4.0,5.0,1.0,0.0,284.0,6.0,44.0,163.0,80.0,7.0,284.0,2.0,6.0,33.3,162.0,10.0,5.0,1.0,190.0,13.0,9.0,0.0,6.0,11.0,0.0,1.0,0.0,0.0,41.0,0.0,2.0,0.0
-Wladimiro Falcone,it ITA,GK,Lecce,27-298,1995,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,342.0,644.0,53.1,10828.0,8228.0,53.0,53.0,100.0,137.0,143.0,95.8,149.0,441.0,33.8,1.0,7.0,1.0,0.0,0.0,421.0,219.0,63.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.1,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,1.0,14.0,1.0,710.0,592.0,708.0,2.0,0.0,0.0,710.0,0.0,0.0,0.0,350.0,0.0,0.0,0.0,247.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,1.0,0.0,22.0,9.0,0.0,100.0
-Davide Faraoni,it ITA,DF,Hellas Verona,31-102,1991,8.0,7.0,478.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.38,0.38,0.0,0.38,1.2,1.2,0.23,0.23,5.3,3.0,0.0,30.0,0.56,0.0,0.0,0.12,-1.2,-1.2,130.0,199.0,65.3,2383.0,1103.0,55.0,71.0,77.5,55.0,75.0,73.3,16.0,36.0,44.4,3.0,11.0,5.0,2.0,21.0,157.0,39.0,0.0,1.0,6.0,14.0,0.0,0.0,0.0,0.0,39.0,3.0,3.0,9.0,1.69,4.0,0.0,2.0,3.0,0.0,3.0,0.56,1.0,0.0,1.0,1.0,0.0,0.0,8.0,5.0,2.0,5.0,1.0,3.0,12.0,25.0,9.0,9.0,4.0,5.0,6.0,7.0,0.0,249.0,16.0,61.0,106.0,83.0,12.0,249.0,3.0,7.0,42.9,101.0,3.0,3.0,1.0,118.0,3.0,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,23.0,3.0,3.0,50.0
-Federico Fazio,ar ARG,DF,Salernitana,35-324,1987,12.0,12.0,1059.0,1.0,0.0,0.0,0.0,2.0,1.0,0.08,0.0,0.08,0.08,0.08,0.7,0.7,0.06,0.06,11.8,2.0,0.0,18.2,0.17,0.09,0.5,0.06,0.3,0.3,408.0,528.0,77.3,7706.0,3184.0,139.0,168.0,82.7,212.0,246.0,86.2,47.0,92.0,51.1,3.0,24.0,3.0,0.0,40.0,495.0,33.0,18.0,0.0,8.0,4.0,0.0,0.0,0.0,0.0,15.0,0.0,6.0,12.0,1.02,7.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,12.0,8.0,7.0,0.0,4.0,11.0,36.4,7.0,9.0,4.0,5.0,28.0,61.0,0.0,669.0,82.0,312.0,307.0,56.0,15.0,669.0,4.0,8.0,50.0,345.0,13.0,11.0,1.0,356.0,11.0,5.0,0.0,11.0,6.0,0.0,0.0,3.0,0.0,73.0,36.0,13.0,73.5
-Jacopo Fazzini,it ITA,MF,Empoli,19-325,2003,11.0,2.0,245.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,76.0,92.0,82.6,1004.0,250.0,50.0,56.0,89.3,21.0,26.0,80.8,2.0,6.0,33.3,2.0,3.0,1.0,1.0,4.0,88.0,4.0,2.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,5.0,1.84,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,13.0,2.0,0.0,8.0,11.0,72.7,3.0,6.0,2.0,4.0,4.0,8.0,0.0,155.0,9.0,65.0,65.0,27.0,3.0,155.0,2.0,10.0,20.0,79.0,1.0,3.0,0.0,82.0,6.0,10.0,0.0,10.0,4.0,0.0,0.0,0.0,0.0,16.0,5.0,11.0,31.3
-Lewis Ferguson,sct SCO,MF,Bologna,23-164,1999,14.0,11.0,925.0,3.0,0.0,0.0,0.0,3.0,0.0,0.29,0.0,0.29,0.29,0.29,1.7,1.7,0.16,0.16,10.3,8.0,0.0,47.1,0.78,0.18,0.38,0.1,1.3,1.3,355.0,435.0,81.6,5022.0,962.0,213.0,236.0,90.3,110.0,132.0,83.3,16.0,29.0,55.2,7.0,25.0,1.0,0.0,25.0,424.0,9.0,4.0,2.0,0.0,6.0,0.0,0.0,0.0,0.0,5.0,2.0,11.0,24.0,2.33,16.0,1.0,1.0,4.0,2.0,2.0,0.19,2.0,0.0,0.0,0.0,0.0,0.0,22.0,15.0,9.0,10.0,3.0,8.0,15.0,53.3,7.0,10.0,4.0,6.0,10.0,13.0,0.0,554.0,20.0,103.0,298.0,156.0,29.0,554.0,6.0,10.0,60.0,271.0,11.0,13.0,4.0,401.0,18.0,7.0,0.0,18.0,22.0,1.0,0.0,0.0,0.0,51.0,7.0,16.0,30.4
-Alex Ferrari,it ITA,DF,Sampdoria,28-218,1994,12.0,10.0,868.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,9.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,384.0,456.0,84.2,7605.0,2387.0,114.0,126.0,90.5,220.0,242.0,90.9,41.0,67.0,61.2,3.0,17.0,1.0,0.0,25.0,433.0,23.0,21.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,8.0,4.0,0.41,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,7.0,2.0,0.0,4.0,8.0,50.0,4.0,21.0,10.0,11.0,19.0,25.0,0.0,560.0,51.0,276.0,265.0,25.0,5.0,560.0,3.0,6.0,50.0,304.0,7.0,1.0,0.0,308.0,10.0,3.0,0.0,12.0,7.0,0.0,0.0,1.0,0.0,62.0,21.0,15.0,58.3
-Alex Ferrari,it ITA,DF,Cremonese,28-218,1994,4.0,4.0,283.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,101.0,136.0,74.3,2107.0,760.0,31.0,39.0,79.5,53.0,64.0,82.8,16.0,30.0,53.3,2.0,12.0,3.0,0.0,11.0,126.0,10.0,6.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,4.0,1.27,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,10.0,0.0,0.0,6.0,6.0,100.0,0.0,1.0,0.0,1.0,11.0,12.0,0.0,171.0,16.0,89.0,80.0,5.0,0.0,171.0,1.0,1.0,100.0,77.0,0.0,1.0,0.0,75.0,1.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,24.0,2.0,2.0,50.0
-Salvador Ferrer,es ESP,DF,Spezia,25-014,1998,2.0,0.0,92.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,65.0,81.5,994.0,301.0,21.0,22.0,95.5,23.0,30.0,76.7,8.0,10.0,80.0,1.0,1.0,0.0,0.0,1.0,58.0,7.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,1.0,0.98,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,1.0,100.0,0.0,1.0,1.0,0.0,1.0,2.0,0.0,72.0,8.0,27.0,36.0,9.0,0.0,72.0,0.0,0.0,0.0,42.0,0.0,0.0,0.0,53.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,40.0
-Alessandro Florenzi,it ITA,DF,Milan,31-330,1991,2.0,1.0,97.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,62.0,79.0,78.5,1115.0,324.0,26.0,28.0,92.9,32.0,36.0,88.9,4.0,14.0,28.6,1.0,4.0,1.0,0.0,7.0,58.0,20.0,3.0,0.0,0.0,5.0,3.0,0.0,3.0,0.0,14.0,1.0,0.0,2.0,1.87,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,2.0,3.0,66.7,1.0,0.0,0.0,0.0,1.0,1.0,0.0,85.0,2.0,21.0,41.0,23.0,1.0,85.0,0.0,0.0,0.0,51.0,0.0,1.0,0.0,47.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Davide Frattesi,it ITA,MF,Sassuolo,23-105,1999,20.0,20.0,1636.0,5.0,0.0,0.0,0.0,3.0,0.0,0.28,0.0,0.28,0.28,0.28,4.2,4.2,0.23,0.23,18.2,18.0,0.0,50.0,0.99,0.14,0.28,0.12,0.8,0.8,439.0,565.0,77.7,7555.0,2079.0,204.0,249.0,81.9,164.0,197.0,83.2,52.0,81.0,64.2,18.0,42.0,16.0,1.0,81.0,549.0,16.0,12.0,4.0,13.0,9.0,0.0,0.0,0.0,0.0,4.0,0.0,13.0,54.0,2.97,43.0,0.0,4.0,4.0,2.0,4.0,0.22,4.0,0.0,0.0,0.0,0.0,0.0,40.0,18.0,13.0,22.0,5.0,14.0,24.0,58.3,10.0,15.0,2.0,13.0,6.0,22.0,0.0,788.0,35.0,157.0,399.0,244.0,53.0,788.0,24.0,46.0,52.2,444.0,43.0,30.0,14.0,525.0,29.0,28.0,0.0,26.0,36.0,0.0,0.0,0.0,0.0,91.0,16.0,12.0,57.1
-Matteo Gabbia,it ITA,DF,Milan,23-106,1999,9.0,5.0,514.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,5.7,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,251.0,313.0,80.2,5679.0,1815.0,62.0,76.0,81.6,133.0,145.0,91.7,53.0,82.0,64.6,0.0,12.0,0.0,0.0,12.0,303.0,10.0,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,4.0,0.7,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,11.0,4.0,0.0,6.0,8.0,75.0,2.0,7.0,2.0,5.0,4.0,25.0,0.0,370.0,47.0,229.0,135.0,7.0,1.0,370.0,0.0,0.0,0.0,164.0,1.0,0.0,1.0,218.0,1.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,33.0,12.0,4.0,75.0
-Manolo Gabbiadini,it ITA,"FW,MF",Sampdoria,31-070,1991,18.0,10.0,968.0,2.0,1.0,0.0,0.0,4.0,0.0,0.19,0.09,0.28,0.19,0.28,3.4,3.4,0.31,0.31,10.8,14.0,2.0,37.8,1.3,0.05,0.14,0.09,-1.4,-1.4,180.0,284.0,63.4,2454.0,651.0,110.0,143.0,76.9,45.0,74.0,60.8,11.0,30.0,36.7,8.0,13.0,9.0,1.0,20.0,256.0,25.0,4.0,2.0,1.0,21.0,12.0,2.0,8.0,0.0,3.0,3.0,8.0,25.0,2.32,14.0,1.0,0.0,8.0,2.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,2.0,2.0,1.0,7.0,14.3,6.0,6.0,0.0,6.0,1.0,11.0,0.0,410.0,12.0,38.0,161.0,212.0,42.0,410.0,0.0,9.0,0.0,239.0,14.0,8.0,5.0,318.0,28.0,16.0,0.0,19.0,35.0,9.0,0.0,0.0,0.0,27.0,21.0,33.0,38.9
-Gianluca Gaetano,it ITA,MF,Napoli,22-275,2000,3.0,0.0,33.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.73,2.73,0.0,2.73,0.1,0.1,0.31,0.31,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,18.0,25.0,72.0,242.0,75.0,10.0,11.0,90.9,7.0,9.0,77.8,0.0,1.0,0.0,1.0,1.0,0.0,0.0,3.0,21.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,2.73,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,1.0,19.0,11.0,2.0,31.0,0.0,2.0,0.0,23.0,1.0,0.0,1.0,23.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Roberto Gagliardini,it ITA,MF,Inter,28-303,1994,9.0,3.0,392.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.12,0.12,4.4,2.0,0.0,20.0,0.46,0.0,0.0,0.05,-0.5,-0.5,137.0,175.0,78.3,2100.0,581.0,80.0,97.0,82.5,46.0,53.0,86.8,8.0,15.0,53.3,3.0,15.0,8.0,3.0,21.0,171.0,3.0,2.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,10.0,2.29,8.0,0.0,0.0,1.0,1.0,2.0,0.46,1.0,0.0,0.0,1.0,0.0,0.0,12.0,5.0,6.0,5.0,1.0,8.0,16.0,50.0,8.0,7.0,2.0,5.0,1.0,6.0,0.0,226.0,6.0,51.0,103.0,74.0,20.0,226.0,0.0,3.0,0.0,113.0,11.0,3.0,1.0,157.0,2.0,2.0,0.0,7.0,7.0,0.0,0.0,0.0,0.0,20.0,11.0,6.0,64.7
-Antonino Gallo,it ITA,DF,Lecce,23-030,2000,16.0,13.0,1169.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.08,0.08,0.0,0.08,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,419.0,620.0,67.6,7878.0,3575.0,180.0,214.0,84.1,178.0,250.0,71.2,56.0,125.0,44.8,18.0,56.0,17.0,11.0,74.0,475.0,140.0,16.0,0.0,7.0,41.0,0.0,0.0,0.0,0.0,124.0,5.0,12.0,31.0,2.39,26.0,1.0,3.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,27.0,14.0,18.0,5.0,4.0,18.0,27.0,66.7,9.0,17.0,2.0,15.0,9.0,32.0,0.0,738.0,40.0,246.0,308.0,195.0,6.0,738.0,6.0,11.0,54.5,340.0,33.0,21.0,3.0,346.0,12.0,5.0,1.0,10.0,9.0,2.0,0.0,0.0,0.0,96.0,16.0,13.0,55.2
-Federico Gatti,it ITA,DF,Juventus,24-225,1998,6.0,6.0,540.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,6.0,1.0,0.0,16.7,0.17,0.0,0.0,0.04,-0.3,-0.3,308.0,372.0,82.8,6500.0,2102.0,101.0,110.0,91.8,149.0,165.0,90.3,55.0,85.0,64.7,1.0,20.0,0.0,0.0,22.0,352.0,18.0,13.0,0.0,11.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,9.0,1.5,8.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,0.0,1.0,3.0,3.0,100.0,0.0,7.0,5.0,2.0,9.0,26.0,1.0,440.0,40.0,217.0,200.0,26.0,10.0,440.0,0.0,0.0,0.0,266.0,5.0,3.0,0.0,303.0,2.0,2.0,0.0,6.0,8.0,0.0,0.0,0.0,0.0,39.0,14.0,12.0,53.8
-Valentin Gendrey,fr FRA,DF,Lecce,22-228,2000,20.0,18.0,1634.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,18.2,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.4,-0.4,564.0,805.0,70.1,9095.0,4447.0,300.0,356.0,84.3,218.0,302.0,72.2,36.0,107.0,33.6,12.0,38.0,10.0,5.0,63.0,597.0,205.0,12.0,1.0,4.0,38.0,0.0,0.0,0.0,0.0,193.0,3.0,19.0,23.0,1.27,17.0,2.0,1.0,0.0,3.0,1.0,0.06,0.0,0.0,0.0,0.0,1.0,0.0,50.0,32.0,32.0,13.0,5.0,19.0,33.0,57.6,14.0,31.0,3.0,28.0,25.0,51.0,0.0,1023.0,67.0,373.0,411.0,250.0,10.0,1023.0,8.0,18.0,44.4,449.0,28.0,21.0,3.0,440.0,29.0,9.0,0.0,13.0,20.0,1.0,1.0,1.0,0.0,112.0,25.0,28.0,47.2
-Paolo Ghiglione,it ITA,DF,Cremonese,26-002,1997,6.0,6.0,467.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.19,0.19,0.0,0.19,0.1,0.1,0.02,0.02,5.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,102.0,195.0,52.3,2052.0,1106.0,33.0,52.0,63.5,54.0,92.0,58.7,15.0,39.0,38.5,7.0,14.0,10.0,8.0,15.0,149.0,46.0,1.0,0.0,1.0,29.0,2.0,0.0,2.0,0.0,43.0,0.0,9.0,10.0,1.93,8.0,2.0,0.0,0.0,0.0,2.0,0.39,2.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,7.0,3.0,0.0,6.0,12.0,50.0,6.0,9.0,4.0,5.0,3.0,8.0,0.0,245.0,12.0,65.0,95.0,86.0,5.0,245.0,0.0,7.0,0.0,96.0,3.0,3.0,1.0,113.0,4.0,4.0,0.0,7.0,5.0,1.0,0.0,1.0,0.0,26.0,2.0,5.0,28.6
-Mario Gila,es ESP,DF,Lazio,22-159,2000,4.0,0.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,56.0,61.0,91.8,953.0,330.0,25.0,27.0,92.6,24.0,26.0,92.3,6.0,7.0,85.7,0.0,1.0,0.0,0.0,6.0,56.0,5.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,3.0,3.0,0.0,71.0,6.0,36.0,33.0,2.0,0.0,71.0,0.0,0.0,0.0,42.0,1.0,1.0,0.0,46.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,0.0
-Olivier Giroud,fr FRA,FW,Milan,36-127,1986,18.0,14.0,1174.0,6.0,4.0,1.0,1.0,5.0,1.0,0.46,0.31,0.77,0.38,0.69,6.8,6.2,0.53,0.47,13.0,15.0,2.0,30.6,1.15,0.1,0.33,0.13,-0.8,-1.2,186.0,295.0,63.1,2278.0,517.0,118.0,176.0,67.0,45.0,68.0,66.2,6.0,11.0,54.5,16.0,8.0,5.0,0.0,28.0,274.0,20.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,5.0,32.0,2.46,24.0,0.0,0.0,6.0,2.0,5.0,0.38,2.0,0.0,0.0,3.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,1.0,3.0,33.3,2.0,6.0,2.0,4.0,1.0,11.0,0.0,435.0,17.0,33.0,178.0,231.0,95.0,434.0,3.0,6.0,50.0,187.0,8.0,8.0,6.0,337.0,36.0,9.0,1.0,18.0,14.0,11.0,0.0,0.0,0.0,25.0,63.0,33.0,65.6
-Pierluigi Gollini,it ITA,GK,Fiorentina,27-323,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,96.0,126.0,76.2,2622.0,1774.0,18.0,18.0,100.0,42.0,42.0,100.0,36.0,66.0,54.5,0.0,1.0,0.0,0.0,0.0,111.0,15.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,131.0,116.0,131.0,0.0,0.0,0.0,131.0,0.0,0.0,0.0,104.0,0.0,0.0,0.0,91.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Joan Gonzàlez,es ESP,MF,Lecce,21-003,2002,20.0,17.0,1446.0,1.0,2.0,0.0,0.0,4.0,0.0,0.06,0.12,0.19,0.06,0.19,1.2,1.2,0.08,0.08,16.1,3.0,0.0,21.4,0.19,0.07,0.33,0.09,-0.2,-0.2,372.0,482.0,77.2,5908.0,1626.0,182.0,226.0,80.5,143.0,163.0,87.7,28.0,55.0,50.9,11.0,45.0,6.0,2.0,42.0,455.0,26.0,6.0,2.0,5.0,17.0,0.0,0.0,0.0,0.0,7.0,1.0,9.0,27.0,1.68,20.0,0.0,1.0,3.0,3.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,0.0,28.0,14.0,15.0,8.0,5.0,10.0,29.0,34.5,19.0,26.0,5.0,21.0,11.0,21.0,0.0,680.0,34.0,164.0,350.0,176.0,24.0,680.0,10.0,35.0,28.6,357.0,12.0,7.0,5.0,401.0,32.0,19.0,0.0,26.0,32.0,1.0,0.0,0.0,1.0,89.0,20.0,39.0,33.9
-Nicolás González,ar ARG,"FW,MF",Fiorentina,24-304,1998,10.0,3.0,360.0,3.0,0.0,1.0,1.0,2.0,0.0,0.75,0.0,0.75,0.5,0.5,2.2,1.7,0.55,0.43,4.0,4.0,0.0,28.6,1.0,0.14,0.5,0.12,0.8,0.3,95.0,144.0,66.0,1615.0,253.0,47.0,63.0,74.6,38.0,48.0,79.2,8.0,16.0,50.0,7.0,6.0,6.0,1.0,11.0,139.0,3.0,2.0,0.0,3.0,10.0,0.0,0.0,0.0,0.0,1.0,2.0,8.0,18.0,4.5,14.0,0.0,1.0,2.0,1.0,2.0,0.5,2.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,207.0,1.0,9.0,94.0,107.0,22.0,206.0,5.0,21.0,23.8,146.0,12.0,6.0,3.0,168.0,11.0,4.0,0.0,5.0,13.0,2.0,0.0,0.0,0.0,14.0,12.0,9.0,57.1
-Robin Gosens,de GER,DF,Inter,28-214,1994,17.0,1.0,343.0,1.0,0.0,0.0,0.0,1.0,0.0,0.26,0.0,0.26,0.26,0.26,0.8,0.8,0.2,0.2,3.8,1.0,0.0,20.0,0.26,0.2,1.0,0.15,0.2,0.2,163.0,220.0,74.1,2517.0,980.0,91.0,97.0,93.8,62.0,88.0,70.5,7.0,19.0,36.8,3.0,13.0,7.0,4.0,12.0,187.0,30.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,30.0,3.0,5.0,10.0,2.65,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,5.0,4.0,0.0,5.0,6.0,83.3,1.0,4.0,0.0,4.0,3.0,3.0,0.0,261.0,6.0,57.0,92.0,115.0,14.0,261.0,2.0,5.0,40.0,137.0,13.0,9.0,3.0,170.0,10.0,0.0,0.0,7.0,0.0,1.0,0.0,0.0,0.0,18.0,6.0,4.0,60.0
-Alberto Grassi,it ITA,MF,Empoli,27-334,1995,11.0,6.0,469.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,5.2,1.0,0.0,25.0,0.19,0.0,0.0,0.04,-0.2,-0.2,181.0,221.0,81.9,2644.0,866.0,101.0,115.0,87.8,57.0,69.0,82.6,11.0,23.0,47.8,3.0,12.0,2.0,0.0,22.0,214.0,7.0,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,1.15,5.0,0.0,0.0,0.0,1.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,0.0,16.0,13.0,9.0,7.0,0.0,8.0,8.0,100.0,0.0,9.0,6.0,3.0,14.0,16.0,0.0,298.0,29.0,111.0,156.0,33.0,3.0,298.0,0.0,3.0,0.0,117.0,2.0,3.0,0.0,159.0,6.0,5.0,0.0,11.0,6.0,0.0,0.0,0.0,0.0,37.0,11.0,5.0,68.8
-Koray Günter,de GER,DF,Hellas Verona,28-172,1994,13.0,11.0,1003.0,1.0,0.0,0.0,0.0,3.0,0.0,0.09,0.0,0.09,0.09,0.09,0.9,0.9,0.08,0.08,11.1,1.0,0.0,11.1,0.09,0.11,1.0,0.1,0.1,0.1,323.0,422.0,76.5,6871.0,3172.0,102.0,126.0,81.0,160.0,183.0,87.4,58.0,101.0,57.4,8.0,31.0,1.0,1.0,36.0,400.0,21.0,20.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,5.0,13.0,1.17,10.0,1.0,0.0,2.0,0.0,1.0,0.09,0.0,0.0,0.0,1.0,0.0,0.0,10.0,6.0,1.0,8.0,1.0,4.0,7.0,57.1,3.0,24.0,15.0,9.0,30.0,46.0,0.0,557.0,82.0,283.0,252.0,29.0,10.0,557.0,3.0,4.0,75.0,221.0,7.0,6.0,0.0,230.0,3.0,1.0,0.0,17.0,10.0,0.0,0.0,0.0,0.0,81.0,22.0,21.0,51.2
-Emmanuel Gyasi,gh GHA,"FW,DF",Spezia,29-024,1994,18.0,18.0,1476.0,1.0,0.0,0.0,0.0,5.0,0.0,0.06,0.0,0.06,0.06,0.06,2.5,2.5,0.15,0.15,16.4,8.0,0.0,36.4,0.49,0.05,0.13,0.11,-1.5,-1.5,314.0,390.0,80.5,3964.0,705.0,214.0,244.0,87.7,83.0,106.0,78.3,5.0,9.0,55.6,12.0,7.0,5.0,0.0,23.0,337.0,53.0,3.0,1.0,1.0,10.0,2.0,0.0,0.0,0.0,25.0,0.0,12.0,23.0,1.4,20.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,4.0,6.0,0.0,3.0,14.0,21.4,11.0,15.0,3.0,12.0,3.0,13.0,0.0,550.0,16.0,86.0,236.0,233.0,55.0,550.0,5.0,21.0,23.8,293.0,18.0,18.0,9.0,366.0,40.0,22.0,0.0,22.0,16.0,16.0,0.0,0.0,0.0,60.0,9.0,32.0,22.0
-Norbert Gyömbér,sk SVK,DF,Salernitana,30-216,1992,14.0,11.0,803.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.17,-0.3,-0.3,332.0,385.0,86.2,6112.0,2374.0,123.0,136.0,90.4,164.0,178.0,92.1,39.0,61.0,63.9,1.0,26.0,0.0,0.0,29.0,368.0,17.0,12.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,7.0,0.78,5.0,1.0,0.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,16.0,13.0,11.0,5.0,0.0,7.0,11.0,63.6,4.0,17.0,11.0,6.0,15.0,37.0,0.0,475.0,58.0,238.0,235.0,7.0,1.0,475.0,0.0,1.0,0.0,235.0,5.0,0.0,0.0,274.0,1.0,1.0,0.0,11.0,3.0,0.0,0.0,1.0,0.0,56.0,12.0,8.0,60.0
-Christian Gytkjær,dk DEN,FW,Monza,32-274,1990,14.0,2.0,413.0,1.0,0.0,0.0,0.0,0.0,0.0,0.22,0.0,0.22,0.22,0.22,2.7,2.7,0.6,0.6,4.6,5.0,1.0,45.5,1.09,0.09,0.2,0.25,-1.7,-1.7,50.0,73.0,68.5,642.0,126.0,27.0,38.0,71.1,13.0,20.0,65.0,3.0,3.0,100.0,2.0,2.0,2.0,0.0,5.0,65.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,1.54,5.0,0.0,0.0,2.0,0.0,2.0,0.44,1.0,0.0,0.0,1.0,0.0,0.0,6.0,2.0,1.0,4.0,1.0,2.0,3.0,66.7,1.0,1.0,0.0,1.0,0.0,0.0,0.0,110.0,0.0,2.0,58.0,50.0,17.0,110.0,2.0,3.0,66.7,58.0,1.0,2.0,1.0,81.0,9.0,5.0,0.0,9.0,4.0,10.0,0.0,0.0,0.0,7.0,6.0,14.0,30.0
-Nicolas Haas,ch SUI,MF,Empoli,27-012,1996,15.0,9.0,841.0,1.0,0.0,0.0,0.0,2.0,0.0,0.11,0.0,0.11,0.11,0.11,1.1,1.1,0.12,0.12,9.3,3.0,0.0,50.0,0.32,0.17,0.33,0.19,-0.1,-0.1,206.0,279.0,73.8,3394.0,975.0,99.0,121.0,81.8,88.0,112.0,78.6,15.0,26.0,57.7,6.0,22.0,5.0,0.0,27.0,271.0,8.0,3.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,2.0,0.0,12.0,16.0,1.71,14.0,1.0,1.0,0.0,0.0,1.0,0.11,0.0,1.0,0.0,0.0,0.0,0.0,22.0,10.0,11.0,6.0,5.0,9.0,17.0,52.9,8.0,12.0,4.0,8.0,5.0,19.0,0.0,390.0,34.0,133.0,171.0,88.0,14.0,390.0,1.0,5.0,20.0,187.0,9.0,10.0,2.0,235.0,15.0,7.0,0.0,16.0,8.0,1.0,0.0,0.0,0.0,44.0,3.0,12.0,20.0
-Samir Handanović,si SVN,GK,Inter,38-205,1984,8.0,8.0,720.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,280.0,314.0,89.2,6390.0,4422.0,88.0,89.0,98.9,130.0,131.0,99.2,61.0,90.0,67.8,0.0,6.0,0.0,0.0,0.0,253.0,58.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.25,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,331.0,266.0,328.0,2.0,1.0,0.0,331.0,0.0,0.0,0.0,191.0,0.0,0.0,0.0,199.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
-Abdou Harroui,nl NED,MF,Sassuolo,25-022,1998,12.0,2.0,291.0,1.0,0.0,0.0,0.0,1.0,0.0,0.31,0.0,0.31,0.31,0.31,0.6,0.6,0.17,0.17,3.2,3.0,0.0,33.3,0.93,0.11,0.33,0.06,0.4,0.4,105.0,133.0,78.9,1684.0,410.0,48.0,53.0,90.6,49.0,56.0,87.5,6.0,11.0,54.5,1.0,15.0,3.0,1.0,11.0,130.0,3.0,0.0,1.0,1.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,4.0,1.25,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,3.0,2.0,2.0,1.0,6.0,16.7,5.0,3.0,1.0,2.0,0.0,2.0,0.0,168.0,7.0,20.0,91.0,61.0,4.0,168.0,2.0,3.0,66.7,94.0,7.0,7.0,1.0,119.0,4.0,6.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,19.0,4.0,3.0,57.1
-Hans Hateboer,nl NED,DF,Atalanta,29-026,1994,15.0,15.0,1269.0,1.0,1.0,0.0,0.0,7.0,0.0,0.07,0.07,0.14,0.07,0.14,1.1,1.1,0.08,0.08,14.1,1.0,0.0,12.5,0.07,0.13,1.0,0.14,-0.1,-0.1,518.0,649.0,79.8,7468.0,2706.0,315.0,351.0,89.7,157.0,204.0,77.0,30.0,55.0,54.5,11.0,25.0,16.0,7.0,50.0,525.0,122.0,3.0,2.0,1.0,23.0,0.0,0.0,0.0,0.0,119.0,2.0,12.0,19.0,1.35,17.0,1.0,1.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,17.0,11.0,9.0,6.0,2.0,10.0,24.0,41.7,14.0,19.0,4.0,15.0,12.0,24.0,0.0,753.0,35.0,202.0,310.0,243.0,23.0,753.0,4.0,8.0,50.0,361.0,16.0,11.0,1.0,462.0,8.0,6.0,0.0,16.0,2.0,1.0,0.0,0.0,0.0,46.0,21.0,14.0,60.0
-Liam Henderson,sct SCO,MF,Empoli,26-285,1996,14.0,8.0,670.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.13,0.13,0.0,0.13,0.3,0.3,0.04,0.04,7.4,4.0,0.0,57.1,0.54,0.0,0.0,0.04,-0.3,-0.3,263.0,326.0,80.7,4260.0,1242.0,109.0,128.0,85.2,126.0,140.0,90.0,17.0,36.0,47.2,12.0,14.0,6.0,6.0,25.0,308.0,14.0,6.0,3.0,1.0,17.0,2.0,1.0,0.0,0.0,2.0,4.0,6.0,26.0,3.49,23.0,1.0,0.0,1.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,4.0,3.0,1.0,3.0,14.0,21.4,11.0,6.0,1.0,5.0,7.0,5.0,0.0,380.0,11.0,85.0,215.0,85.0,12.0,380.0,0.0,5.0,0.0,223.0,9.0,7.0,0.0,265.0,11.0,3.0,0.0,25.0,6.0,2.0,0.0,0.0,0.0,40.0,4.0,6.0,40.0
-Jack Hendry,sct SCO,DF,Cremonese,27-273,1995,4.0,2.0,220.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,118.0,137.0,86.1,2402.0,1087.0,40.0,44.0,90.9,58.0,67.0,86.6,17.0,22.0,77.3,1.0,12.0,1.0,0.0,9.0,122.0,15.0,7.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,4.0,1.64,4.0,0.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.0,1.0,1.0,7.0,0.0,148.0,13.0,71.0,73.0,7.0,0.0,148.0,0.0,1.0,0.0,94.0,1.0,2.0,0.0,90.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,14.0,8.0,3.0,72.7
-Matheus Henrique,br BRA,MF,Sassuolo,25-047,1997,12.0,5.0,621.0,1.0,0.0,0.0,0.0,2.0,0.0,0.14,0.0,0.14,0.14,0.14,0.6,0.6,0.09,0.09,6.9,5.0,0.0,62.5,0.72,0.13,0.2,0.08,0.4,0.4,278.0,325.0,85.5,4868.0,1288.0,113.0,129.0,87.6,122.0,132.0,92.4,31.0,40.0,77.5,9.0,33.0,3.0,0.0,37.0,312.0,13.0,8.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,4.0,0.0,8.0,22.0,3.19,17.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,4.0,5.0,1.0,2.0,3.0,66.7,1.0,3.0,0.0,3.0,8.0,5.0,0.0,382.0,9.0,71.0,210.0,105.0,8.0,382.0,9.0,14.0,64.3,241.0,11.0,16.0,1.0,269.0,10.0,4.0,0.0,4.0,8.0,0.0,0.0,0.0,0.0,33.0,4.0,5.0,44.4
-Thomas Henry,fr FRA,FW,Hellas Verona,28-137,1994,16.0,13.0,1029.0,2.0,0.0,0.0,0.0,4.0,0.0,0.17,0.0,0.17,0.17,0.17,1.7,1.7,0.15,0.15,11.4,5.0,0.0,27.8,0.44,0.11,0.4,0.1,0.3,0.3,115.0,226.0,50.9,1405.0,437.0,71.0,124.0,57.3,19.0,46.0,41.3,7.0,12.0,58.3,13.0,14.0,6.0,0.0,18.0,213.0,9.0,0.0,1.0,2.0,5.0,0.0,0.0,0.0,0.0,1.0,4.0,9.0,22.0,1.92,16.0,1.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,1.0,1.0,3.0,1.0,4.0,25.0,3.0,6.0,2.0,4.0,0.0,14.0,0.0,374.0,15.0,25.0,160.0,192.0,48.0,374.0,3.0,14.0,21.4,193.0,3.0,7.0,1.0,303.0,52.0,25.0,0.0,27.0,16.0,9.0,0.0,0.0,0.0,29.0,46.0,39.0,54.1
-Theo Hernández,fr FRA,DF,Milan,25-121,1997,17.0,17.0,1469.0,2.0,2.0,1.0,1.0,5.0,0.0,0.12,0.12,0.25,0.06,0.18,2.2,1.4,0.14,0.09,16.3,6.0,3.0,19.4,0.37,0.03,0.17,0.05,-0.2,-0.4,663.0,845.0,78.5,11697.0,3849.0,299.0,334.0,89.5,280.0,340.0,82.4,70.0,119.0,58.8,25.0,48.0,15.0,5.0,61.0,661.0,183.0,26.0,1.0,16.0,44.0,12.0,0.0,10.0,0.0,145.0,1.0,20.0,48.0,2.94,25.0,12.0,1.0,4.0,5.0,6.0,0.37,4.0,2.0,0.0,0.0,0.0,0.0,33.0,19.0,20.0,12.0,1.0,17.0,22.0,77.3,5.0,23.0,6.0,17.0,10.0,13.0,1.0,1032.0,34.0,254.0,516.0,278.0,38.0,1031.0,11.0,42.0,26.2,558.0,67.0,44.0,11.0,598.0,27.0,10.0,0.0,14.0,36.0,0.0,0.0,0.0,1.0,103.0,20.0,8.0,71.4
-Isak Hien,se SWE,DF,Hellas Verona,24-022,1999,17.0,13.0,1331.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.8,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,443.0,593.0,74.7,9071.0,3774.0,127.0,167.0,76.0,243.0,296.0,82.1,66.0,100.0,66.0,2.0,29.0,2.0,1.0,39.0,553.0,37.0,15.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,22.0,3.0,13.0,13.0,0.88,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,18.0,31.0,9.0,0.0,21.0,32.0,65.6,11.0,16.0,6.0,10.0,19.0,42.0,0.0,758.0,71.0,396.0,330.0,43.0,10.0,758.0,5.0,14.0,35.7,317.0,11.0,8.0,0.0,322.0,16.0,7.0,0.0,33.0,7.0,0.0,0.0,0.0,0.0,117.0,48.0,23.0,67.6
-Morten Hjulmand,dk DEN,MF,Lecce,23-224,1999,18.0,18.0,1534.0,0.0,3.0,0.0,0.0,5.0,1.0,0.0,0.18,0.18,0.0,0.18,0.3,0.3,0.01,0.01,17.0,1.0,0.0,12.5,0.06,0.0,0.0,0.03,-0.3,-0.3,513.0,656.0,78.2,9400.0,2939.0,218.0,261.0,83.5,227.0,263.0,86.3,60.0,103.0,58.3,16.0,76.0,8.0,1.0,80.0,620.0,34.0,33.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,11.0,31.0,1.82,27.0,1.0,0.0,1.0,2.0,4.0,0.23,4.0,0.0,0.0,0.0,0.0,0.0,44.0,28.0,25.0,19.0,0.0,13.0,23.0,56.5,10.0,22.0,6.0,16.0,40.0,35.0,0.0,843.0,60.0,254.0,482.0,113.0,4.0,843.0,4.0,6.0,66.7,387.0,3.0,6.0,0.0,383.0,16.0,12.0,0.0,29.0,21.0,0.0,0.0,0.0,0.0,129.0,24.0,12.0,66.7
-Emil Holm,se SWE,DF,Spezia,22-267,2000,19.0,17.0,1366.0,1.0,1.0,0.0,0.0,4.0,0.0,0.07,0.07,0.13,0.07,0.13,1.2,1.2,0.08,0.08,15.2,5.0,0.0,33.3,0.33,0.07,0.2,0.08,-0.2,-0.2,334.0,559.0,59.7,5064.0,1645.0,171.0,237.0,72.2,127.0,203.0,62.6,16.0,61.0,26.2,13.0,28.0,12.0,5.0,39.0,450.0,107.0,1.0,1.0,3.0,49.0,0.0,0.0,0.0,0.0,106.0,2.0,19.0,35.0,2.31,23.0,5.0,2.0,2.0,3.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,25.0,15.0,13.0,7.0,5.0,16.0,30.0,53.3,14.0,20.0,6.0,14.0,9.0,40.0,0.0,782.0,41.0,174.0,310.0,309.0,40.0,782.0,16.0,42.0,38.1,333.0,40.0,24.0,10.0,418.0,45.0,21.0,0.0,20.0,15.0,2.0,0.0,0.0,0.0,79.0,61.0,61.0,50.0
-Martin Hongla,cm CMR,MF,Hellas Verona,24-325,1998,9.0,6.0,523.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,5.8,2.0,0.0,40.0,0.34,0.0,0.0,0.03,-0.2,-0.2,166.0,212.0,78.3,3239.0,992.0,62.0,74.0,83.8,75.0,89.0,84.3,24.0,41.0,58.5,3.0,18.0,2.0,1.0,24.0,204.0,8.0,5.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,11.0,1.89,9.0,0.0,1.0,1.0,0.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,4.0,4.0,0.0,5.0,5.0,100.0,0.0,7.0,1.0,6.0,6.0,9.0,0.0,258.0,12.0,66.0,142.0,54.0,3.0,258.0,8.0,14.0,57.1,131.0,6.0,4.0,1.0,141.0,4.0,3.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,48.0,5.0,8.0,38.5
-Petko Hristov,bg BUL,DF,Spezia,23-340,1999,9.0,4.0,365.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,4.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,160.0,207.0,77.3,2653.0,997.0,82.0,90.0,91.1,64.0,79.0,81.0,11.0,29.0,37.9,0.0,11.0,2.0,1.0,8.0,168.0,38.0,9.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,29.0,1.0,1.0,3.0,0.74,1.0,0.0,0.0,1.0,1.0,1.0,0.25,0.0,0.0,0.0,0.0,1.0,0.0,6.0,4.0,2.0,4.0,0.0,5.0,8.0,62.5,3.0,4.0,2.0,2.0,4.0,12.0,0.0,251.0,19.0,101.0,122.0,29.0,3.0,251.0,0.0,3.0,0.0,112.0,2.0,2.0,0.0,133.0,3.0,0.0,0.0,1.0,4.0,0.0,1.0,0.0,0.0,21.0,10.0,5.0,66.7
-Ajdin Hrustic,au AUS,MF,Hellas Verona,26-214,1996,6.0,3.0,226.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.13,0.13,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.3,-0.3,75.0,94.0,79.8,1069.0,341.0,40.0,42.0,95.2,25.0,33.0,75.8,4.0,7.0,57.1,3.0,1.0,5.0,1.0,8.0,82.0,12.0,6.0,0.0,1.0,7.0,4.0,2.0,0.0,0.0,0.0,0.0,4.0,7.0,2.79,6.0,1.0,0.0,0.0,0.0,1.0,0.4,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,2.0,50.0,1.0,2.0,0.0,2.0,0.0,2.0,1.0,121.0,4.0,17.0,59.0,47.0,6.0,121.0,3.0,11.0,27.3,63.0,7.0,6.0,2.0,77.0,8.0,3.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,11.0,1.0,3.0,25.0
-Elseid Hysaj,al ALB,DF,Lazio,28-349,1994,16.0,6.0,656.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.0,0.0,0.0,0.0,7.3,1.0,0.0,100.0,0.14,0.0,0.0,0.03,0.0,0.0,382.0,463.0,82.5,5646.0,2475.0,221.0,241.0,91.7,128.0,151.0,84.8,22.0,47.0,46.8,4.0,28.0,4.0,1.0,25.0,389.0,73.0,9.0,2.0,2.0,5.0,0.0,0.0,0.0,0.0,64.0,1.0,5.0,14.0,1.93,11.0,0.0,2.0,0.0,1.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,20.0,9.0,10.0,6.0,4.0,9.0,12.0,75.0,3.0,7.0,3.0,4.0,8.0,14.0,0.0,539.0,30.0,211.0,246.0,87.0,4.0,539.0,2.0,8.0,25.0,277.0,14.0,13.0,2.0,318.0,12.0,5.0,0.0,7.0,5.0,1.0,0.0,0.0,0.0,51.0,8.0,7.0,53.3
-Rasmus Højlund,dk DEN,FW,Atalanta,20-000,2003,16.0,8.0,801.0,4.0,1.0,0.0,0.0,1.0,0.0,0.45,0.11,0.56,0.45,0.56,3.2,3.2,0.36,0.36,8.9,12.0,0.0,46.2,1.35,0.15,0.33,0.12,0.8,0.8,148.0,193.0,76.7,1786.0,273.0,95.0,117.0,81.2,31.0,42.0,73.8,6.0,6.0,100.0,14.0,9.0,7.0,0.0,19.0,184.0,8.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,25.0,2.82,16.0,0.0,2.0,3.0,4.0,3.0,0.34,1.0,0.0,0.0,0.0,2.0,0.0,3.0,2.0,0.0,1.0,2.0,1.0,2.0,50.0,1.0,4.0,0.0,4.0,0.0,2.0,0.0,307.0,2.0,11.0,111.0,189.0,62.0,307.0,5.0,23.0,21.7,211.0,14.0,11.0,12.0,254.0,39.0,27.0,0.0,11.0,17.0,2.0,2.0,0.0,0.0,31.0,14.0,26.0,35.0
-Roger Ibanez,br BRA,DF,Roma,24-073,1998,19.0,19.0,1710.0,2.0,0.0,0.0,0.0,5.0,0.0,0.11,0.0,0.11,0.11,0.11,1.6,1.6,0.09,0.09,19.0,5.0,0.0,33.3,0.26,0.13,0.4,0.11,0.4,0.4,923.0,1038.0,88.9,17252.0,6236.0,350.0,384.0,91.1,458.0,488.0,93.9,103.0,141.0,73.0,3.0,45.0,3.0,0.0,50.0,1003.0,34.0,26.0,2.0,8.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,5.0,18.0,0.95,10.0,1.0,0.0,4.0,2.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,43.0,21.0,22.0,19.0,2.0,18.0,24.0,75.0,6.0,16.0,6.0,10.0,41.0,59.0,1.0,1244.0,135.0,614.0,604.0,45.0,15.0,1244.0,5.0,10.0,50.0,759.0,18.0,12.0,2.0,811.0,9.0,15.0,0.0,26.0,32.0,0.0,1.0,0.0,0.0,127.0,31.0,10.0,75.6
-Igor,br BRA,DF,Fiorentina,24-362,1998,15.0,12.0,1086.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.03,0.03,12.1,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.4,-0.4,690.0,771.0,89.5,14462.0,4538.0,194.0,204.0,95.1,400.0,423.0,94.6,93.0,131.0,71.0,3.0,52.0,2.0,0.0,49.0,740.0,30.0,24.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,4.0,13.0,1.08,11.0,0.0,1.0,0.0,0.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,18.0,9.0,8.0,6.0,4.0,4.0,8.0,50.0,4.0,23.0,11.0,12.0,16.0,25.0,1.0,874.0,66.0,355.0,490.0,36.0,7.0,874.0,2.0,4.0,50.0,556.0,14.0,10.0,0.0,588.0,4.0,7.0,1.0,18.0,4.0,0.0,0.0,0.0,0.0,85.0,23.0,9.0,71.9
-Jonathan Ikone,fr FRA,FW,Fiorentina,24-278,1998,19.0,13.0,1168.0,2.0,2.0,0.0,0.0,2.0,0.0,0.15,0.15,0.31,0.15,0.31,1.7,1.7,0.13,0.13,13.0,6.0,0.0,20.0,0.46,0.07,0.33,0.06,0.3,0.3,315.0,379.0,83.1,5345.0,936.0,164.0,179.0,91.6,108.0,131.0,82.4,33.0,39.0,84.6,17.0,12.0,16.0,1.0,35.0,361.0,17.0,3.0,1.0,6.0,13.0,0.0,0.0,0.0,0.0,14.0,1.0,9.0,32.0,2.47,26.0,0.0,6.0,0.0,0.0,4.0,0.31,4.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,2.0,3.0,3.0,1.0,2.0,50.0,1.0,13.0,1.0,12.0,3.0,3.0,0.0,528.0,5.0,46.0,210.0,281.0,63.0,528.0,20.0,42.0,47.6,371.0,45.0,25.0,31.0,412.0,34.0,31.0,0.0,16.0,14.0,3.0,0.0,0.0,0.0,49.0,7.0,15.0,31.8
-Ivan Ilić,rs SRB,MF,Hellas Verona,21-324,2001,11.0,10.0,851.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.11,0.11,0.0,0.11,0.4,0.4,0.04,0.04,9.5,2.0,0.0,22.2,0.21,0.0,0.0,0.04,-0.4,-0.4,279.0,401.0,69.6,5107.0,1432.0,113.0,138.0,81.9,128.0,168.0,76.2,29.0,66.0,43.9,16.0,19.0,10.0,1.0,39.0,332.0,68.0,17.0,1.0,3.0,47.0,39.0,14.0,19.0,0.0,2.0,1.0,13.0,27.0,2.86,14.0,12.0,1.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,16.0,10.0,9.0,7.0,0.0,6.0,11.0,54.5,5.0,10.0,1.0,9.0,8.0,14.0,0.0,490.0,26.0,98.0,250.0,149.0,11.0,490.0,6.0,16.0,37.5,219.0,18.0,13.0,4.0,238.0,17.0,5.0,0.0,9.0,9.0,0.0,0.0,0.0,0.0,72.0,10.0,13.0,43.5
-Samuel Iling-Junior,eng ENG,"DF,MF",Juventus,19-123,2003,5.0,0.0,94.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.96,0.96,0.0,0.96,0.0,0.0,0.01,0.01,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,24.0,29.0,82.8,403.0,163.0,12.0,14.0,85.7,10.0,12.0,83.3,1.0,2.0,50.0,2.0,2.0,2.0,1.0,4.0,27.0,2.0,1.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,3.83,4.0,0.0,0.0,0.0,0.0,1.0,0.96,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,2.0,2.0,100.0,0.0,1.0,0.0,1.0,1.0,3.0,0.0,49.0,1.0,12.0,15.0,24.0,0.0,49.0,1.0,4.0,25.0,24.0,4.0,7.0,0.0,25.0,5.0,2.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,1.0,50.0
-Emirhan İlkhan,tr TUR,MF,Torino,18-248,2004,4.0,1.0,87.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,36.0,43.0,83.7,671.0,140.0,16.0,19.0,84.2,12.0,13.0,92.3,7.0,9.0,77.8,1.0,6.0,2.0,0.0,8.0,41.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.17,5.0,0.0,0.0,0.0,0.0,1.0,1.03,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,3.0,1.0,2.0,2.0,2.0,0.0,58.0,4.0,12.0,34.0,12.0,0.0,58.0,1.0,2.0,50.0,39.0,2.0,4.0,0.0,38.0,2.0,2.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,33.3
-Ciro Immobile,it ITA,FW,Lazio,32-349,1990,15.0,13.0,1030.0,7.0,3.0,1.0,2.0,3.0,0.0,0.61,0.26,0.87,0.52,0.79,6.9,5.3,0.6,0.47,11.4,14.0,0.0,41.2,1.22,0.18,0.43,0.16,0.1,0.7,210.0,289.0,72.7,2734.0,437.0,133.0,160.0,83.1,53.0,70.0,75.7,9.0,14.0,64.3,13.0,9.0,6.0,0.0,19.0,270.0,16.0,0.0,4.0,2.0,5.0,0.0,0.0,0.0,0.0,6.0,3.0,12.0,35.0,3.06,25.0,0.0,2.0,5.0,3.0,9.0,0.79,7.0,0.0,0.0,2.0,0.0,0.0,6.0,3.0,2.0,2.0,2.0,2.0,2.0,100.0,0.0,8.0,1.0,7.0,1.0,8.0,0.0,400.0,11.0,26.0,166.0,212.0,83.0,398.0,5.0,16.0,31.3,228.0,20.0,10.0,13.0,308.0,24.0,12.0,0.0,10.0,11.0,7.0,1.0,0.0,0.0,27.0,6.0,19.0,24.0
-Ardian Ismajli,al ALB,DF,Empoli,26-127,1996,14.0,13.0,1205.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,13.4,2.0,0.0,28.6,0.15,0.0,0.0,0.08,-0.5,-0.5,447.0,536.0,83.4,8783.0,2769.0,137.0,149.0,91.9,268.0,297.0,90.2,39.0,70.0,55.7,1.0,11.0,0.0,0.0,17.0,503.0,32.0,18.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,11.0,4.0,0.3,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,19.0,16.0,8.0,0.0,9.0,11.0,81.8,2.0,34.0,22.0,12.0,16.0,76.0,0.0,709.0,156.0,447.0,247.0,17.0,14.0,709.0,1.0,1.0,100.0,351.0,6.0,0.0,0.0,384.0,2.0,1.0,0.0,13.0,9.0,0.0,0.0,0.0,0.0,54.0,28.0,17.0,62.2
-Armando Izzo,it ITA,DF,Monza,30-339,1992,13.0,12.0,1050.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.06,0.06,11.7,1.0,0.0,16.7,0.09,0.0,0.0,0.11,-0.7,-0.7,567.0,671.0,84.5,10364.0,3412.0,234.0,261.0,89.7,260.0,286.0,90.9,60.0,99.0,60.6,7.0,39.0,5.0,1.0,47.0,621.0,45.0,38.0,1.0,10.0,4.0,0.0,0.0,0.0,0.0,7.0,5.0,4.0,13.0,1.11,11.0,0.0,0.0,0.0,1.0,1.0,0.09,0.0,0.0,0.0,0.0,1.0,0.0,44.0,29.0,28.0,14.0,2.0,15.0,20.0,75.0,5.0,13.0,5.0,8.0,21.0,35.0,0.0,805.0,67.0,416.0,338.0,60.0,10.0,805.0,2.0,8.0,25.0,455.0,15.0,6.0,1.0,531.0,7.0,4.0,0.0,18.0,26.0,1.0,1.0,0.0,0.0,63.0,22.0,17.0,56.4
-Mato Jajalo,ba BIH,MF,Udinese,34-255,1988,3.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,0.07,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,23.0,29.0,79.3,401.0,166.0,10.0,13.0,76.9,9.0,9.0,100.0,3.0,4.0,75.0,1.0,1.0,1.0,0.0,4.0,29.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,4.29,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,36.0,4.0,7.0,14.0,16.0,1.0,36.0,1.0,2.0,50.0,17.0,0.0,2.0,0.0,22.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,100.0
-Juan Jesus,br BRA,DF,Napoli,31-239,1991,7.0,7.0,599.0,1.0,0.0,0.0,0.0,2.0,0.0,0.15,0.0,0.15,0.15,0.15,0.2,0.2,0.03,0.03,6.7,1.0,0.0,25.0,0.15,0.25,1.0,0.05,0.8,0.8,404.0,449.0,90.0,7398.0,2359.0,147.0,154.0,95.5,220.0,237.0,92.8,31.0,43.0,72.1,1.0,21.0,1.0,0.0,28.0,430.0,18.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,8.0,1.2,5.0,0.0,0.0,2.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,5.0,3.0,1.0,5.0,7.0,71.4,2.0,14.0,7.0,7.0,6.0,22.0,0.0,513.0,43.0,209.0,298.0,9.0,6.0,513.0,0.0,0.0,0.0,321.0,3.0,1.0,0.0,349.0,3.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,36.0,19.0,4.0,82.6
-Þórir Jóhann Helgason,is ISL,MF,Lecce,22-129,2000,6.0,2.0,150.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.7,0.0,1.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,34.0,46.0,73.9,633.0,280.0,14.0,18.0,77.8,13.0,15.0,86.7,6.0,11.0,54.5,3.0,1.0,0.0,0.0,2.0,38.0,8.0,1.0,0.0,0.0,9.0,6.0,5.0,1.0,0.0,0.0,0.0,0.0,4.0,2.4,2.0,2.0,0.0,0.0,0.0,1.0,0.6,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,100.0,0.0,1.0,0.0,1.0,2.0,2.0,0.0,59.0,4.0,17.0,21.0,23.0,0.0,59.0,0.0,0.0,0.0,26.0,1.0,2.0,0.0,28.0,3.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,0.0
-Luka Jović,rs SRB,"FW,MF",Fiorentina,25-043,1997,18.0,11.0,920.0,3.0,0.0,0.0,1.0,2.0,0.0,0.29,0.0,0.29,0.29,0.29,4.4,3.6,0.43,0.35,10.2,10.0,0.0,32.3,0.98,0.1,0.3,0.12,-1.4,-0.6,126.0,168.0,75.0,2088.0,310.0,62.0,75.0,82.7,49.0,64.0,76.6,11.0,16.0,68.8,11.0,8.0,3.0,0.0,16.0,147.0,20.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,26.0,2.54,18.0,0.0,1.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,3.0,1.0,2.0,4.0,50.0,2.0,3.0,1.0,2.0,2.0,8.0,0.0,255.0,8.0,17.0,117.0,122.0,45.0,254.0,3.0,6.0,50.0,127.0,4.0,4.0,4.0,193.0,18.0,10.0,0.0,15.0,7.0,5.0,0.0,0.0,0.0,9.0,17.0,30.0,36.2
-Hamed Junior Traorè,ci CIV,"MF,FW",Sassuolo,22-353,2000,11.0,6.0,591.0,0.0,3.0,0.0,0.0,1.0,0.0,0.0,0.46,0.46,0.0,0.46,1.0,1.0,0.15,0.15,6.6,4.0,2.0,50.0,0.61,0.0,0.0,0.12,-1.0,-1.0,184.0,245.0,75.1,3077.0,823.0,87.0,101.0,86.1,68.0,83.0,81.9,20.0,34.0,58.8,17.0,17.0,7.0,3.0,26.0,219.0,22.0,3.0,1.0,4.0,26.0,16.0,6.0,4.0,0.0,2.0,4.0,14.0,26.0,3.96,21.0,5.0,0.0,0.0,0.0,6.0,0.91,4.0,2.0,0.0,0.0,0.0,0.0,11.0,6.0,4.0,6.0,1.0,4.0,11.0,36.4,7.0,4.0,0.0,4.0,2.0,0.0,1.0,308.0,3.0,43.0,142.0,127.0,24.0,308.0,4.0,15.0,26.7,194.0,14.0,7.0,7.0,226.0,16.0,23.0,0.0,9.0,2.0,1.0,0.0,0.0,0.0,35.0,3.0,5.0,37.5
-Yayah Kallon,sl SLE,"MF,FW",Hellas Verona,21-219,2001,16.0,6.0,623.0,1.0,1.0,0.0,0.0,1.0,0.0,0.14,0.14,0.29,0.14,0.29,0.8,0.8,0.12,0.12,6.9,3.0,0.0,30.0,0.43,0.1,0.33,0.08,0.2,0.2,114.0,177.0,64.4,1605.0,415.0,66.0,85.0,77.6,34.0,60.0,56.7,6.0,11.0,54.5,12.0,6.0,10.0,4.0,12.0,165.0,11.0,2.0,0.0,0.0,25.0,0.0,0.0,0.0,0.0,4.0,1.0,6.0,27.0,3.9,23.0,0.0,2.0,0.0,2.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,3.0,1.0,5.0,5.0,8.0,62.5,3.0,8.0,0.0,8.0,8.0,2.0,0.0,258.0,2.0,19.0,92.0,153.0,29.0,258.0,5.0,21.0,23.8,172.0,26.0,16.0,10.0,184.0,21.0,15.0,0.0,11.0,17.0,4.0,0.0,0.0,0.0,24.0,7.0,16.0,30.4
-Pierre Kalulu,fr FRA,DF,Milan,22-244,2000,20.0,15.0,1490.0,1.0,0.0,0.0,0.0,1.0,0.0,0.06,0.0,0.06,0.06,0.06,1.4,1.4,0.08,0.08,16.6,2.0,0.0,20.0,0.12,0.1,0.5,0.14,-0.4,-0.4,911.0,1038.0,87.8,17457.0,5718.0,303.0,330.0,91.8,524.0,562.0,93.2,77.0,125.0,61.6,3.0,57.0,1.0,1.0,71.0,946.0,91.0,31.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,55.0,1.0,7.0,12.0,0.73,8.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,18.0,15.0,14.0,2.0,11.0,14.0,78.6,3.0,27.0,12.0,15.0,24.0,28.0,1.0,1192.0,80.0,553.0,573.0,79.0,13.0,1192.0,3.0,7.0,42.9,710.0,26.0,12.0,0.0,790.0,11.0,2.0,0.0,14.0,13.0,0.0,0.0,1.0,0.0,94.0,18.0,14.0,56.3
-Yann Karamoh,fr FRA,FW,Torino,24-211,1998,7.0,0.0,153.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.38,0.38,1.7,2.0,0.0,33.3,1.18,0.0,0.0,0.11,-0.6,-0.6,30.0,44.0,68.2,417.0,93.0,16.0,19.0,84.2,12.0,16.0,75.0,0.0,2.0,0.0,4.0,1.0,2.0,1.0,3.0,41.0,3.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,2.96,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,1.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,82.0,0.0,8.0,20.0,54.0,8.0,82.0,4.0,11.0,36.4,59.0,8.0,1.0,4.0,67.0,10.0,7.0,0.0,6.0,5.0,5.0,0.0,0.0,0.0,4.0,2.0,9.0,18.2
-Rick Karsdorp,nl NED,DF,Roma,27-358,1995,9.0,7.0,547.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,6.1,0.0,0.0,0.0,0.0,0.0,0.0,0.25,-0.3,-0.3,219.0,281.0,77.9,3937.0,1156.0,93.0,104.0,89.4,103.0,121.0,85.1,22.0,41.0,53.7,5.0,9.0,7.0,1.0,16.0,226.0,54.0,1.0,2.0,1.0,12.0,0.0,0.0,0.0,0.0,53.0,1.0,6.0,13.0,2.14,10.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,11.0,10.0,6.0,2.0,12.0,15.0,80.0,3.0,0.0,0.0,0.0,6.0,13.0,1.0,334.0,25.0,122.0,137.0,79.0,6.0,334.0,0.0,6.0,0.0,170.0,11.0,5.0,2.0,190.0,10.0,3.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,35.0,4.0,1.0,80.0
-Denso Kasius,nl NED,DF,Bologna,20-121,2002,7.0,4.0,342.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.53,0.53,0.0,0.53,0.1,0.1,0.03,0.03,3.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,143.0,192.0,74.5,2576.0,864.0,65.0,72.0,90.3,53.0,74.0,71.6,20.0,36.0,55.6,6.0,6.0,8.0,6.0,9.0,156.0,35.0,1.0,0.0,3.0,12.0,0.0,0.0,0.0,0.0,34.0,1.0,3.0,15.0,3.94,13.0,0.0,2.0,0.0,0.0,2.0,0.52,2.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,7.0,4.0,1.0,8.0,10.0,80.0,2.0,6.0,3.0,3.0,3.0,6.0,0.0,243.0,6.0,75.0,105.0,65.0,3.0,243.0,6.0,10.0,60.0,127.0,9.0,10.0,1.0,144.0,11.0,7.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,18.0,1.0,4.0,20.0
-Grigoris Kastanos,cy CYP,"MF,DF",Salernitana,25-005,1998,11.0,2.0,294.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.12,0.12,3.3,3.0,0.0,37.5,0.92,0.0,0.0,0.05,-0.4,-0.4,88.0,126.0,69.8,1458.0,423.0,40.0,45.0,88.9,37.0,53.0,69.8,6.0,12.0,50.0,5.0,11.0,2.0,0.0,13.0,119.0,4.0,4.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,0.0,3.0,6.0,8.0,2.46,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,2.0,8.0,2.0,2.0,8.0,25.0,6.0,5.0,2.0,3.0,2.0,1.0,0.0,169.0,2.0,24.0,86.0,59.0,6.0,169.0,1.0,4.0,25.0,104.0,10.0,6.0,1.0,119.0,6.0,3.0,0.0,8.0,10.0,0.0,0.0,0.0,0.0,12.0,5.0,2.0,71.4
-Moise Kean,it ITA,FW,Juventus,22-341,2000,18.0,8.0,713.0,4.0,0.0,0.0,0.0,3.0,0.0,0.5,0.0,0.5,0.5,0.5,4.6,4.6,0.58,0.58,7.9,10.0,0.0,34.5,1.26,0.14,0.4,0.16,-0.6,-0.6,95.0,132.0,72.0,1194.0,274.0,60.0,73.0,82.2,23.0,32.0,71.9,2.0,3.0,66.7,7.0,5.0,5.0,1.0,10.0,124.0,6.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,25.0,3.16,16.0,0.0,3.0,5.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,8.0,6.0,2.0,5.0,1.0,3.0,5.0,60.0,2.0,1.0,0.0,1.0,4.0,2.0,0.0,238.0,3.0,24.0,108.0,112.0,38.0,238.0,8.0,27.0,29.6,147.0,23.0,9.0,13.0,175.0,20.0,15.0,0.0,9.0,12.0,5.0,0.0,0.0,0.0,27.0,4.0,8.0,33.3
-Jakub Kiwior,pl POL,DF,Spezia,22-354,2000,17.0,17.0,1443.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,16.0,2.0,1.0,20.0,0.12,0.0,0.0,0.06,-0.6,-0.6,653.0,775.0,84.3,13165.0,4165.0,209.0,238.0,87.8,343.0,371.0,92.5,93.0,147.0,63.3,4.0,25.0,5.0,0.0,37.0,683.0,89.0,34.0,1.0,3.0,14.0,9.0,6.0,3.0,0.0,12.0,3.0,4.0,15.0,0.94,9.0,3.0,0.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,22.0,17.0,15.0,7.0,0.0,6.0,24.0,25.0,18.0,26.0,18.0,8.0,24.0,71.0,1.0,953.0,177.0,594.0,307.0,58.0,15.0,953.0,5.0,7.0,71.4,464.0,13.0,3.0,1.0,498.0,8.0,5.0,0.0,16.0,5.0,0.0,0.0,0.0,0.0,93.0,22.0,12.0,64.7
-Simon Kjær,dk DEN,DF,Milan,33-315,1989,9.0,6.0,513.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,304.0,349.0,87.1,6641.0,2417.0,88.0,98.0,89.8,155.0,163.0,95.1,59.0,84.0,70.2,0.0,30.0,1.0,0.0,30.0,345.0,4.0,3.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,4.0,0.7,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,1.0,0.0,2.0,4.0,50.0,2.0,6.0,4.0,2.0,7.0,11.0,0.0,381.0,35.0,191.0,184.0,7.0,1.0,381.0,0.0,0.0,0.0,231.0,0.0,1.0,0.0,279.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,31.0,8.0,4.0,66.7
-Teun Koopmeiners,nl NED,MF,Atalanta,24-341,1998,19.0,18.0,1655.0,6.0,3.0,2.0,4.0,5.0,0.0,0.33,0.16,0.49,0.22,0.38,5.5,2.1,0.3,0.12,18.4,13.0,4.0,41.9,0.71,0.13,0.31,0.07,0.5,1.9,756.0,1011.0,74.8,14072.0,5714.0,305.0,351.0,86.9,329.0,409.0,80.4,95.0,197.0,48.2,31.0,97.0,31.0,7.0,114.0,927.0,82.0,34.0,4.0,15.0,77.0,33.0,13.0,15.0,0.0,12.0,2.0,19.0,70.0,3.81,48.0,14.0,0.0,6.0,2.0,12.0,0.65,7.0,3.0,0.0,2.0,0.0,0.0,27.0,15.0,8.0,15.0,4.0,17.0,30.0,56.7,13.0,23.0,4.0,19.0,14.0,25.0,1.0,1210.0,66.0,312.0,540.0,370.0,38.0,1206.0,12.0,27.0,44.4,670.0,33.0,32.0,5.0,833.0,27.0,16.0,0.0,23.0,12.0,1.0,0.0,0.0,0.0,107.0,19.0,12.0,61.3
-Filip Kostić,rs SRB,"DF,FW",Juventus,30-095,1992,20.0,18.0,1423.0,1.0,5.0,0.0,0.0,1.0,0.0,0.06,0.32,0.38,0.06,0.38,1.4,1.4,0.09,0.09,15.8,6.0,0.0,28.6,0.38,0.05,0.17,0.07,-0.4,-0.4,477.0,687.0,69.4,8028.0,2638.0,231.0,275.0,84.0,184.0,249.0,73.9,48.0,106.0,45.3,37.0,30.0,29.0,19.0,48.0,598.0,87.0,7.0,2.0,3.0,129.0,27.0,2.0,24.0,0.0,53.0,2.0,33.0,53.0,3.35,40.0,8.0,2.0,3.0,0.0,7.0,0.44,5.0,0.0,0.0,2.0,0.0,0.0,27.0,18.0,12.0,11.0,4.0,15.0,27.0,55.6,12.0,16.0,1.0,15.0,6.0,12.0,0.0,839.0,16.0,119.0,343.0,384.0,29.0,839.0,7.0,22.0,31.8,446.0,52.0,25.0,11.0,544.0,33.0,8.0,0.0,23.0,6.0,0.0,0.0,0.0,0.0,79.0,6.0,7.0,46.2
-Christian Kouamé,ci CIV,FW,Fiorentina,25-060,1997,19.0,16.0,1347.0,2.0,2.0,0.0,0.0,3.0,0.0,0.13,0.13,0.27,0.13,0.27,3.8,3.8,0.25,0.25,15.0,11.0,1.0,33.3,0.73,0.06,0.18,0.12,-1.8,-1.8,363.0,510.0,71.2,5428.0,1246.0,213.0,265.0,80.4,102.0,150.0,68.0,25.0,43.0,58.1,28.0,23.0,24.0,6.0,43.0,486.0,23.0,2.0,1.0,5.0,36.0,2.0,0.0,0.0,0.0,15.0,1.0,12.0,62.0,4.14,48.0,0.0,4.0,4.0,6.0,4.0,0.27,3.0,0.0,1.0,0.0,0.0,0.0,16.0,12.0,6.0,4.0,6.0,5.0,9.0,55.6,4.0,13.0,3.0,10.0,12.0,3.0,0.0,721.0,4.0,58.0,240.0,430.0,86.0,721.0,15.0,53.0,28.3,442.0,43.0,23.0,19.0,537.0,58.0,31.0,0.0,25.0,45.0,3.0,1.0,0.0,0.0,73.0,44.0,39.0,53.0
-Viktor Kovalenko,ua UKR,MF,Spezia,26-355,1996,10.0,5.0,390.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.08,0.08,4.3,0.0,1.0,0.0,0.0,0.0,0.0,0.07,-0.4,-0.4,134.0,167.0,80.2,2031.0,446.0,75.0,81.0,92.6,48.0,60.0,80.0,9.0,15.0,60.0,5.0,3.0,4.0,1.0,17.0,160.0,7.0,2.0,0.0,3.0,6.0,2.0,1.0,0.0,0.0,3.0,0.0,6.0,7.0,1.61,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,0.0,5.0,2.0,3.0,4.0,75.0,1.0,10.0,2.0,8.0,1.0,5.0,0.0,211.0,7.0,36.0,110.0,66.0,11.0,211.0,1.0,1.0,100.0,109.0,1.0,2.0,1.0,136.0,7.0,0.0,0.0,7.0,7.0,1.0,0.0,0.0,0.0,17.0,2.0,9.0,18.2
-Julian Kristoffersen,no NOR,FW,Salernitana,25-270,1997,1.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,2.0,2.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,25.0
-Rade Krunić,ba BIH,"MF,FW",Milan,29-120,1993,9.0,6.0,541.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.17,0.17,0.0,0.17,0.5,0.5,0.09,0.09,6.0,1.0,0.0,16.7,0.17,0.0,0.0,0.09,-0.5,-0.5,131.0,171.0,76.6,2100.0,727.0,59.0,75.0,78.7,59.0,68.0,86.8,8.0,14.0,57.1,8.0,16.0,6.0,0.0,24.0,165.0,6.0,2.0,1.0,1.0,3.0,2.0,1.0,1.0,0.0,2.0,0.0,9.0,16.0,2.68,12.0,1.0,0.0,2.0,0.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,0.0,13.0,7.0,6.0,7.0,0.0,6.0,10.0,60.0,4.0,10.0,5.0,5.0,7.0,8.0,0.0,232.0,18.0,62.0,126.0,46.0,14.0,232.0,3.0,7.0,42.9,113.0,8.0,10.0,2.0,114.0,3.0,5.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,29.0,7.0,9.0,43.8
-Marash Kumbulla,al ALB,DF,Roma,22-361,2000,4.0,2.0,134.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,76.0,81.0,93.8,1383.0,419.0,28.0,28.0,100.0,41.0,44.0,93.2,5.0,6.0,83.3,1.0,2.0,0.0,0.0,3.0,80.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.67,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,4.0,0.0,91.0,10.0,49.0,39.0,4.0,2.0,91.0,0.0,0.0,0.0,56.0,1.0,1.0,0.0,74.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,2.0,60.0
-Khvicha Kvaratskhelia,ge GEO,FW,Napoli,21-357,2001,16.0,15.0,1159.0,7.0,8.0,0.0,0.0,0.0,0.0,0.54,0.62,1.16,0.54,1.16,4.4,4.4,0.34,0.34,12.9,18.0,0.0,40.9,1.4,0.16,0.39,0.1,2.6,2.6,319.0,409.0,78.0,4387.0,784.0,200.0,223.0,89.7,84.0,107.0,78.5,16.0,34.0,47.1,26.0,16.0,16.0,3.0,31.0,393.0,13.0,1.0,5.0,4.0,24.0,3.0,1.0,1.0,0.0,9.0,3.0,12.0,65.0,5.04,41.0,1.0,11.0,9.0,3.0,15.0,1.16,7.0,1.0,1.0,4.0,2.0,0.0,22.0,9.0,5.0,6.0,11.0,9.0,16.0,56.3,7.0,11.0,0.0,11.0,1.0,4.0,1.0,627.0,5.0,52.0,200.0,384.0,89.0,627.0,25.0,85.0,29.4,399.0,58.0,22.0,42.0,476.0,38.0,30.0,0.0,8.0,19.0,4.0,2.0,0.0,0.0,55.0,2.0,4.0,33.3
-Giorgos Kyriakopoulos,gr GRE,"FW,DF",Sassuolo,26-364,1996,12.0,9.0,766.0,1.0,1.0,0.0,0.0,3.0,0.0,0.12,0.12,0.23,0.12,0.23,1.1,1.1,0.13,0.13,8.5,4.0,0.0,30.8,0.47,0.08,0.25,0.08,-0.1,-0.1,300.0,391.0,76.7,5430.0,2158.0,148.0,165.0,89.7,103.0,125.0,82.4,44.0,81.0,54.3,14.0,23.0,14.0,9.0,32.0,332.0,56.0,7.0,0.0,6.0,39.0,10.0,2.0,5.0,0.0,39.0,3.0,9.0,26.0,3.05,21.0,0.0,2.0,1.0,1.0,3.0,0.35,2.0,0.0,0.0,1.0,0.0,0.0,21.0,8.0,7.0,9.0,5.0,10.0,14.0,71.4,4.0,7.0,1.0,6.0,11.0,12.0,1.0,505.0,14.0,140.0,187.0,186.0,16.0,505.0,14.0,31.0,45.2,312.0,17.0,15.0,5.0,333.0,14.0,18.0,0.0,9.0,13.0,0.0,1.0,0.0,0.0,37.0,7.0,13.0,35.0
-Sam Lammers,nl NED,FW,Sampdoria,25-280,1997,5.0,5.0,408.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.18,0.18,4.5,1.0,0.0,11.1,0.22,0.0,0.0,0.09,-0.8,-0.8,65.0,89.0,73.0,802.0,143.0,48.0,59.0,81.4,12.0,17.0,70.6,2.0,2.0,100.0,4.0,2.0,2.0,0.0,3.0,85.0,4.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,10.0,2.21,8.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,3.0,2.0,3.0,6.0,50.0,3.0,4.0,0.0,4.0,3.0,4.0,0.0,150.0,4.0,10.0,83.0,58.0,13.0,150.0,1.0,5.0,20.0,97.0,6.0,4.0,2.0,125.0,18.0,10.0,0.0,7.0,9.0,0.0,0.0,0.0,0.0,10.0,11.0,26.0,29.7
-Sam Lammers,nl NED,FW,Empoli,25-280,1997,14.0,10.0,883.0,1.0,1.0,0.0,0.0,0.0,0.0,0.1,0.1,0.2,0.1,0.2,2.3,2.3,0.23,0.23,9.8,7.0,0.0,25.0,0.71,0.04,0.14,0.08,-1.3,-1.3,143.0,230.0,62.2,1814.0,451.0,94.0,129.0,72.9,41.0,60.0,68.3,1.0,5.0,20.0,10.0,13.0,4.0,0.0,19.0,226.0,3.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,25.0,2.55,18.0,1.0,3.0,1.0,2.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,20.0,10.0,5.0,9.0,6.0,7.0,11.0,63.6,4.0,4.0,1.0,3.0,3.0,8.0,0.0,358.0,12.0,35.0,151.0,179.0,49.0,358.0,10.0,23.0,43.5,193.0,9.0,12.0,6.0,268.0,37.0,14.0,0.0,6.0,8.0,1.0,0.0,0.0,0.0,27.0,18.0,16.0,52.9
-Kevin Lasagna,it ITA,"FW,MF",Hellas Verona,30-178,1992,16.0,11.0,1026.0,1.0,2.0,0.0,0.0,1.0,0.0,0.09,0.18,0.26,0.09,0.26,4.6,4.6,0.41,0.41,11.4,8.0,0.0,21.6,0.7,0.03,0.13,0.13,-3.6,-3.6,94.0,163.0,57.7,1483.0,363.0,47.0,71.0,66.2,34.0,53.0,64.2,5.0,10.0,50.0,8.0,7.0,4.0,0.0,10.0,150.0,9.0,1.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,1.0,4.0,12.0,24.0,2.11,14.0,0.0,3.0,4.0,2.0,3.0,0.26,1.0,0.0,1.0,1.0,0.0,0.0,9.0,3.0,7.0,1.0,1.0,4.0,9.0,44.4,5.0,11.0,1.0,10.0,3.0,9.0,0.0,318.0,9.0,43.0,118.0,164.0,49.0,318.0,7.0,26.0,26.9,175.0,25.0,14.0,10.0,203.0,36.0,26.0,0.0,20.0,16.0,12.0,0.0,0.0,0.0,47.0,7.0,31.0,18.4
-Armand Lauriente,fr FRA,FW,Sassuolo,24-062,1998,14.0,14.0,1138.0,3.0,3.0,1.0,1.0,4.0,1.0,0.24,0.24,0.47,0.16,0.4,2.5,1.7,0.2,0.14,12.6,15.0,5.0,44.1,1.19,0.06,0.13,0.05,0.5,0.3,302.0,419.0,72.1,4667.0,1524.0,167.0,190.0,87.9,98.0,134.0,73.1,23.0,53.0,43.4,39.0,22.0,24.0,6.0,45.0,374.0,45.0,9.0,1.0,2.0,70.0,29.0,18.0,7.0,0.0,6.0,0.0,14.0,58.0,4.59,43.0,4.0,5.0,1.0,3.0,6.0,0.47,4.0,0.0,1.0,0.0,1.0,0.0,9.0,5.0,1.0,5.0,3.0,4.0,8.0,50.0,4.0,10.0,0.0,10.0,4.0,6.0,0.0,577.0,3.0,38.0,213.0,338.0,49.0,576.0,26.0,62.0,41.9,394.0,68.0,33.0,28.0,431.0,30.0,34.0,1.0,10.0,25.0,3.0,1.0,0.0,0.0,44.0,1.0,3.0,25.0
-Valentino Lazaro,at AUT,DF,Torino,26-317,1996,15.0,13.0,1065.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.17,0.17,0.0,0.17,0.4,0.4,0.03,0.03,11.8,2.0,0.0,28.6,0.17,0.0,0.0,0.06,-0.4,-0.4,524.0,695.0,75.4,8590.0,3209.0,263.0,297.0,88.6,194.0,255.0,76.1,48.0,99.0,48.5,22.0,37.0,16.0,8.0,58.0,525.0,168.0,20.0,0.0,1.0,65.0,33.0,9.0,15.0,1.0,115.0,2.0,16.0,42.0,3.55,25.0,13.0,2.0,2.0,0.0,3.0,0.25,2.0,1.0,0.0,0.0,0.0,0.0,10.0,5.0,7.0,0.0,3.0,6.0,8.0,75.0,2.0,11.0,2.0,9.0,2.0,18.0,0.0,785.0,29.0,149.0,320.0,325.0,22.0,785.0,12.0,26.0,46.2,381.0,38.0,21.0,8.0,454.0,15.0,4.0,0.0,11.0,3.0,1.0,0.0,1.0,0.0,73.0,10.0,10.0,50.0
-Marko Lazetić,rs SRB,FW,Milan,19-013,2004,1.0,0.0,9.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.63,0.63,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,1.0,1.0,100.0,18.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,2.0,2.0,1.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Darko Lazović,rs SRB,"DF,MF",Hellas Verona,32-142,1990,16.0,15.0,1244.0,3.0,2.0,0.0,0.0,0.0,0.0,0.22,0.14,0.36,0.22,0.36,2.4,2.4,0.17,0.17,13.8,8.0,1.0,34.8,0.58,0.13,0.38,0.1,0.6,0.6,293.0,467.0,62.7,4875.0,2093.0,139.0,177.0,78.5,111.0,159.0,69.8,31.0,82.0,37.8,17.0,28.0,21.0,9.0,51.0,404.0,57.0,3.0,2.0,1.0,59.0,14.0,7.0,3.0,0.0,40.0,6.0,24.0,28.0,2.03,20.0,5.0,1.0,0.0,0.0,2.0,0.14,1.0,1.0,0.0,0.0,0.0,0.0,15.0,8.0,6.0,7.0,2.0,5.0,15.0,33.3,10.0,7.0,2.0,5.0,10.0,12.0,0.0,592.0,18.0,106.0,224.0,272.0,34.0,592.0,6.0,29.0,20.7,297.0,43.0,23.0,13.0,358.0,21.0,8.0,0.0,4.0,2.0,6.0,0.0,0.0,0.0,75.0,5.0,13.0,27.8
-Manuel Lazzari,it ITA,DF,Lazio,29-067,1993,17.0,15.0,1184.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,13.2,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,624.0,708.0,88.1,8743.0,3137.0,370.0,397.0,93.2,209.0,237.0,88.2,22.0,30.0,73.3,6.0,23.0,8.0,4.0,32.0,587.0,120.0,12.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,108.0,1.0,12.0,18.0,1.37,13.0,1.0,1.0,0.0,2.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,0.0,26.0,16.0,10.0,12.0,4.0,17.0,27.0,63.0,10.0,14.0,3.0,11.0,12.0,21.0,1.0,832.0,30.0,292.0,395.0,155.0,13.0,832.0,7.0,19.0,36.8,444.0,47.0,34.0,9.0,536.0,15.0,3.0,0.0,9.0,27.0,0.0,0.0,0.0,0.0,54.0,5.0,10.0,33.3
-Rafael Leão,pt POR,"FW,MF",Milan,23-239,1999,19.0,16.0,1398.0,8.0,5.0,0.0,0.0,5.0,1.0,0.52,0.32,0.84,0.52,0.84,6.3,6.3,0.4,0.4,15.5,15.0,0.0,25.9,0.97,0.14,0.53,0.11,1.7,1.7,321.0,435.0,73.8,5871.0,1842.0,144.0,186.0,77.4,127.0,155.0,81.9,42.0,63.0,66.7,29.0,41.0,34.0,9.0,72.0,414.0,19.0,2.0,2.0,14.0,34.0,3.0,0.0,0.0,0.0,14.0,2.0,15.0,65.0,4.18,46.0,1.0,10.0,3.0,5.0,8.0,0.51,7.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,5.0,20.0,4.0,2.0,1.0,1.0,8.0,4.0,0.0,622.0,6.0,33.0,256.0,347.0,92.0,622.0,33.0,78.0,42.3,425.0,73.0,51.0,43.0,478.0,36.0,21.0,1.0,11.0,16.0,6.0,0.0,0.0,0.0,48.0,14.0,15.0,48.3
-Mehdi Léris,dz ALG,"MF,DF",Sampdoria,24-257,1998,18.0,15.0,1271.0,0.0,1.0,0.0,0.0,9.0,0.0,0.0,0.07,0.07,0.0,0.07,1.8,1.8,0.13,0.13,14.1,5.0,0.0,35.7,0.35,0.0,0.0,0.13,-1.8,-1.8,333.0,497.0,67.0,4926.0,1704.0,197.0,233.0,84.5,96.0,155.0,61.9,25.0,51.0,49.0,11.0,21.0,10.0,3.0,30.0,467.0,26.0,1.0,3.0,5.0,34.0,0.0,0.0,0.0,0.0,25.0,4.0,24.0,22.0,1.56,17.0,0.0,0.0,2.0,2.0,1.0,0.07,0.0,0.0,0.0,1.0,0.0,0.0,35.0,27.0,19.0,11.0,5.0,14.0,32.0,43.8,18.0,21.0,1.0,20.0,17.0,12.0,0.0,682.0,18.0,148.0,287.0,259.0,33.0,682.0,11.0,33.0,33.3,392.0,26.0,14.0,5.0,458.0,43.0,30.0,0.0,31.0,24.0,4.0,0.0,0.0,0.0,81.0,34.0,21.0,61.8
-Karol Linetty,pl POL,MF,Torino,28-002,1995,19.0,13.0,1120.0,1.0,0.0,0.0,0.0,6.0,0.0,0.08,0.0,0.08,0.08,0.08,0.8,0.8,0.06,0.06,12.4,4.0,0.0,40.0,0.32,0.1,0.25,0.08,0.2,0.2,458.0,544.0,84.2,7666.0,1766.0,219.0,254.0,86.2,194.0,212.0,91.5,35.0,45.0,77.8,13.0,46.0,4.0,1.0,48.0,516.0,24.0,15.0,2.0,9.0,9.0,9.0,2.0,5.0,0.0,0.0,4.0,7.0,26.0,2.09,20.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,12.0,4.0,18.0,2.0,9.0,15.0,60.0,6.0,15.0,4.0,11.0,14.0,16.0,0.0,669.0,21.0,100.0,400.0,171.0,16.0,669.0,5.0,12.0,41.7,341.0,13.0,14.0,3.0,424.0,13.0,9.0,0.0,29.0,9.0,2.0,0.0,0.0,0.0,73.0,13.0,13.0,50.0
-Marcin Listkowski,pl POL,"MF,FW",Lecce,24-359,1998,5.0,0.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,16.0,24.0,66.7,204.0,71.0,14.0,16.0,87.5,0.0,3.0,0.0,1.0,4.0,25.0,0.0,0.0,0.0,0.0,1.0,23.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.15,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,34.0,2.0,10.0,11.0,13.0,1.0,34.0,0.0,0.0,0.0,17.0,6.0,1.0,0.0,20.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
-Stanislav Lobotka,sk SVK,MF,Napoli,28-071,1994,20.0,18.0,1655.0,1.0,1.0,0.0,0.0,1.0,0.0,0.05,0.05,0.11,0.05,0.11,0.3,0.3,0.01,0.01,18.4,2.0,0.0,40.0,0.11,0.2,0.5,0.05,0.7,0.7,1153.0,1222.0,94.4,18826.0,4787.0,585.0,609.0,96.1,444.0,463.0,95.9,93.0,109.0,85.3,9.0,112.0,4.0,0.0,89.0,1203.0,19.0,15.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,37.0,2.01,34.0,0.0,0.0,1.0,2.0,4.0,0.22,3.0,0.0,0.0,1.0,0.0,0.0,46.0,23.0,21.0,18.0,7.0,22.0,34.0,64.7,12.0,17.0,5.0,12.0,6.0,9.0,0.0,1342.0,42.0,295.0,868.0,188.0,7.0,1342.0,8.0,13.0,61.5,860.0,22.0,31.0,4.0,1046.0,14.0,7.0,0.0,12.0,36.0,0.0,0.0,0.0,0.0,133.0,8.0,11.0,42.1
-Manuel Locatelli,it ITA,MF,Juventus,25-027,1998,17.0,16.0,1310.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,14.6,6.0,0.0,42.9,0.41,0.0,0.0,0.04,-0.6,-0.6,609.0,747.0,81.5,11366.0,3643.0,267.0,305.0,87.5,244.0,281.0,86.8,84.0,125.0,67.2,10.0,79.0,6.0,0.0,75.0,709.0,38.0,29.0,0.0,15.0,8.0,4.0,0.0,3.0,0.0,4.0,0.0,16.0,31.0,2.13,24.0,3.0,1.0,2.0,1.0,5.0,0.34,3.0,0.0,1.0,0.0,1.0,0.0,34.0,19.0,15.0,15.0,4.0,16.0,21.0,76.2,5.0,25.0,9.0,16.0,16.0,25.0,0.0,911.0,39.0,238.0,520.0,162.0,9.0,911.0,9.0,15.0,60.0,432.0,17.0,8.0,2.0,603.0,18.0,11.0,0.0,23.0,19.0,0.0,0.0,0.0,0.0,89.0,23.0,13.0,63.9
-Luka Lochoshvili,ge GEO,DF,Cremonese,24-251,1998,14.0,14.0,1136.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.3,0.3,0.02,0.02,12.6,1.0,0.0,25.0,0.08,0.0,0.0,0.07,-0.3,-0.3,394.0,503.0,78.3,7165.0,2683.0,151.0,168.0,89.9,217.0,246.0,88.2,24.0,75.0,32.0,4.0,32.0,3.0,1.0,52.0,480.0,22.0,17.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,12.0,0.95,8.0,0.0,1.0,2.0,0.0,2.0,0.16,1.0,0.0,0.0,1.0,0.0,0.0,31.0,10.0,21.0,7.0,3.0,17.0,22.0,77.3,5.0,22.0,4.0,18.0,14.0,44.0,0.0,645.0,65.0,329.0,281.0,45.0,5.0,645.0,4.0,6.0,66.7,342.0,12.0,13.0,0.0,368.0,8.0,4.0,0.0,23.0,5.0,1.0,0.0,1.0,0.0,57.0,20.0,11.0,64.5
-Ademola Lookman,ng NGA,"FW,MF",Atalanta,25-107,1997,19.0,14.0,1165.0,12.0,3.0,3.0,3.0,2.0,0.0,0.93,0.23,1.16,0.7,0.93,7.5,5.1,0.58,0.39,12.9,13.0,1.0,36.1,1.0,0.25,0.69,0.14,4.5,3.9,332.0,429.0,77.4,4734.0,1430.0,180.0,210.0,85.7,104.0,134.0,77.6,20.0,34.0,58.8,24.0,22.0,23.0,3.0,56.0,394.0,35.0,5.0,5.0,2.0,32.0,16.0,2.0,7.0,0.0,7.0,0.0,12.0,57.0,4.4,39.0,6.0,3.0,4.0,5.0,9.0,0.69,5.0,0.0,1.0,2.0,1.0,0.0,8.0,3.0,2.0,4.0,2.0,2.0,7.0,28.6,5.0,13.0,0.0,13.0,3.0,0.0,0.0,571.0,1.0,37.0,235.0,306.0,81.0,568.0,20.0,44.0,45.5,376.0,47.0,17.0,19.0,448.0,28.0,34.0,0.0,12.0,27.0,8.0,1.0,0.0,0.0,60.0,2.0,7.0,22.2
-Maxime Lopez,fr FRA,MF,Sassuolo,25-062,1997,14.0,12.0,1120.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,12.4,2.0,0.0,33.3,0.16,0.0,0.0,0.09,-0.5,-0.5,665.0,762.0,87.3,11512.0,4137.0,308.0,334.0,92.2,267.0,306.0,87.3,71.0,93.0,76.3,17.0,91.0,6.0,2.0,104.0,739.0,21.0,14.0,2.0,6.0,12.0,5.0,1.0,1.0,0.0,2.0,2.0,6.0,33.0,2.66,31.0,2.0,0.0,0.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,24.0,9.0,15.0,7.0,2.0,8.0,32.0,25.0,24.0,11.0,1.0,10.0,11.0,11.0,0.0,865.0,33.0,215.0,509.0,149.0,6.0,865.0,4.0,15.0,26.7,543.0,27.0,26.0,1.0,649.0,9.0,8.0,0.0,11.0,8.0,0.0,0.0,0.0,0.0,87.0,3.0,2.0,60.0
-Matteo Lovato,it ITA,DF,Salernitana,22-355,2000,6.0,4.0,332.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,123.0,147.0,83.7,2428.0,954.0,38.0,42.0,90.5,69.0,80.0,86.3,14.0,20.0,70.0,0.0,5.0,0.0,0.0,5.0,140.0,7.0,7.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,6.0,2.0,0.0,7.0,12.0,58.3,5.0,4.0,1.0,3.0,4.0,14.0,2.0,184.0,19.0,100.0,82.0,5.0,0.0,184.0,0.0,0.0,0.0,104.0,1.0,0.0,0.0,110.0,3.0,2.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,18.0,9.0,6.0,60.0
-Sandi Lovrić,si SVN,MF,Udinese,24-313,1998,19.0,12.0,1017.0,2.0,1.0,0.0,0.0,1.0,0.0,0.18,0.09,0.27,0.18,0.27,1.8,1.8,0.16,0.16,11.3,5.0,2.0,14.3,0.44,0.06,0.4,0.05,0.2,0.2,385.0,482.0,79.9,6436.0,1797.0,184.0,208.0,88.5,130.0,155.0,83.9,43.0,78.0,55.1,20.0,55.0,13.0,4.0,57.0,453.0,26.0,11.0,2.0,10.0,35.0,13.0,3.0,6.0,0.0,2.0,3.0,7.0,40.0,3.54,27.0,5.0,3.0,3.0,1.0,4.0,0.35,3.0,0.0,1.0,0.0,0.0,0.0,22.0,10.0,7.0,11.0,4.0,13.0,20.0,65.0,7.0,8.0,0.0,8.0,8.0,13.0,0.0,636.0,18.0,88.0,323.0,237.0,27.0,636.0,6.0,19.0,31.6,388.0,18.0,19.0,5.0,431.0,28.0,10.0,0.0,14.0,12.0,1.0,0.0,0.0,0.0,68.0,2.0,4.0,33.3
-Hirving Lozano,mx MEX,FW,Napoli,27-189,1995,19.0,10.0,936.0,3.0,3.0,1.0,1.0,1.0,0.0,0.29,0.29,0.58,0.19,0.48,4.5,3.7,0.44,0.36,10.4,10.0,0.0,34.5,0.96,0.07,0.2,0.13,-1.5,-1.7,238.0,322.0,73.9,3508.0,995.0,126.0,145.0,86.9,86.0,108.0,79.6,16.0,29.0,55.2,19.0,15.0,25.0,14.0,34.0,316.0,4.0,0.0,0.0,1.0,37.0,1.0,0.0,0.0,0.0,3.0,2.0,14.0,37.0,3.57,30.0,0.0,3.0,2.0,2.0,7.0,0.67,7.0,0.0,0.0,0.0,0.0,0.0,11.0,6.0,5.0,4.0,2.0,5.0,8.0,62.5,3.0,17.0,0.0,17.0,4.0,5.0,0.0,449.0,4.0,46.0,154.0,256.0,51.0,448.0,16.0,34.0,47.1,318.0,48.0,13.0,11.0,343.0,28.0,7.0,0.0,17.0,20.0,2.0,0.0,0.0,0.0,34.0,3.0,6.0,33.3
-Jhon Lucumí,co COL,DF,Bologna,24-223,1998,17.0,17.0,1460.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.06,0.06,0.0,0.06,0.4,0.4,0.02,0.02,16.2,2.0,0.0,33.3,0.12,0.0,0.0,0.07,-0.4,-0.4,780.0,902.0,86.5,14686.0,5014.0,318.0,335.0,94.9,352.0,385.0,91.4,99.0,144.0,68.8,4.0,51.0,5.0,1.0,41.0,853.0,48.0,37.0,1.0,12.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,12.0,0.74,10.0,0.0,0.0,1.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,0.0,32.0,22.0,22.0,10.0,0.0,15.0,24.0,62.5,9.0,18.0,12.0,6.0,18.0,57.0,0.0,1061.0,130.0,569.0,474.0,25.0,10.0,1061.0,2.0,2.0,100.0,588.0,15.0,6.0,1.0,664.0,8.0,5.0,0.0,14.0,8.0,0.0,0.0,2.0,0.0,106.0,26.0,14.0,65.0
-José Luis Palomino,ar ARG,DF,Atalanta,33-030,1990,5.0,5.0,360.0,1.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.25,0.25,0.25,0.1,0.1,0.03,0.03,4.0,2.0,0.0,66.7,0.5,0.33,0.5,0.04,0.9,0.9,197.0,241.0,81.7,3713.0,1407.0,65.0,76.0,85.5,112.0,124.0,90.3,19.0,32.0,59.4,1.0,10.0,2.0,1.0,13.0,227.0,14.0,13.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,3.0,8.0,1.0,0.0,5.0,6.0,83.3,1.0,3.0,2.0,1.0,15.0,12.0,0.0,288.0,28.0,124.0,154.0,12.0,4.0,288.0,0.0,0.0,0.0,143.0,1.0,0.0,0.0,161.0,2.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,1.0,35.0,13.0,9.0,59.1
-Romelu Lukaku,be BEL,FW,Inter,29-267,1993,8.0,4.0,375.0,1.0,1.0,0.0,0.0,0.0,0.0,0.24,0.24,0.48,0.24,0.48,1.3,1.3,0.31,0.31,4.2,3.0,0.0,37.5,0.72,0.13,0.33,0.16,-0.3,-0.3,49.0,75.0,65.3,573.0,100.0,30.0,41.0,73.2,12.0,16.0,75.0,1.0,4.0,25.0,3.0,1.0,5.0,1.0,7.0,74.0,1.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,1.92,6.0,0.0,1.0,1.0,0.0,3.0,0.72,2.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,108.0,2.0,5.0,32.0,71.0,25.0,108.0,2.0,6.0,33.3,62.0,2.0,4.0,1.0,94.0,14.0,8.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,6.0,11.0,10.0,52.4
-Saša Lukić,rs SRB,MF,Torino,26-175,1996,16.0,13.0,1195.0,2.0,0.0,1.0,1.0,4.0,0.0,0.15,0.0,0.15,0.08,0.08,1.7,0.9,0.13,0.07,13.3,3.0,1.0,20.0,0.23,0.07,0.33,0.06,0.3,0.1,627.0,732.0,85.7,11788.0,2410.0,232.0,265.0,87.5,307.0,339.0,90.6,78.0,102.0,76.5,16.0,54.0,8.0,3.0,44.0,692.0,38.0,29.0,1.0,6.0,25.0,4.0,0.0,4.0,0.0,5.0,2.0,7.0,44.0,3.31,35.0,3.0,0.0,2.0,3.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,10.0,10.0,1.0,9.0,14.0,64.3,5.0,17.0,7.0,10.0,13.0,10.0,0.0,850.0,29.0,129.0,537.0,190.0,23.0,849.0,1.0,7.0,14.3,448.0,26.0,18.0,4.0,556.0,17.0,8.0,0.0,26.0,10.0,0.0,0.0,0.0,0.0,81.0,22.0,22.0,50.0
-Sebastiano Luperto,it ITA,DF,Empoli,26-151,1996,18.0,18.0,1534.0,1.0,0.0,0.0,0.0,3.0,2.0,0.06,0.0,0.06,0.06,0.06,0.4,0.4,0.02,0.02,17.0,3.0,0.0,50.0,0.18,0.17,0.33,0.07,0.6,0.6,659.0,763.0,86.4,12596.0,4323.0,228.0,240.0,95.0,356.0,390.0,91.3,68.0,120.0,56.7,2.0,30.0,2.0,1.0,33.0,653.0,109.0,45.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,8.0,0.47,6.0,1.0,0.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,11.0,5.0,1.0,7.0,8.0,87.5,1.0,24.0,19.0,5.0,19.0,80.0,0.0,929.0,210.0,567.0,348.0,19.0,7.0,929.0,1.0,1.0,100.0,481.0,5.0,3.0,1.0,499.0,3.0,2.0,1.0,11.0,13.0,0.0,0.0,0.0,0.0,79.0,26.0,27.0,49.1
-Charalambos Lykogiannis,gr GRE,DF,Bologna,29-105,1993,16.0,10.0,894.0,1.0,0.0,0.0,0.0,3.0,0.0,0.1,0.0,0.1,0.1,0.1,0.5,0.5,0.05,0.05,9.9,5.0,4.0,31.3,0.5,0.06,0.2,0.03,0.5,0.5,384.0,552.0,69.6,6490.0,2653.0,184.0,208.0,88.5,161.0,218.0,73.9,31.0,85.0,36.5,14.0,35.0,12.0,9.0,35.0,458.0,91.0,7.0,1.0,7.0,53.0,11.0,6.0,3.0,0.0,73.0,3.0,23.0,23.0,2.32,15.0,4.0,1.0,2.0,1.0,1.0,0.1,0.0,1.0,0.0,0.0,0.0,0.0,10.0,5.0,3.0,4.0,3.0,5.0,10.0,50.0,5.0,6.0,3.0,3.0,15.0,27.0,0.0,655.0,27.0,198.0,297.0,168.0,3.0,655.0,4.0,10.0,40.0,347.0,23.0,16.0,0.0,411.0,7.0,0.0,0.0,11.0,9.0,1.0,0.0,0.0,0.0,47.0,14.0,13.0,51.9
-Giulio Maggiore,it ITA,MF,Salernitana,24-329,1998,10.0,9.0,653.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,7.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,273.0,358.0,76.3,4772.0,1288.0,121.0,153.0,79.1,117.0,132.0,88.6,28.0,50.0,56.0,3.0,30.0,11.0,0.0,46.0,347.0,7.0,5.0,3.0,3.0,2.0,0.0,0.0,0.0,0.0,1.0,4.0,6.0,14.0,1.93,11.0,0.0,0.0,2.0,1.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,14.0,6.0,6.0,5.0,3.0,7.0,14.0,50.0,7.0,17.0,4.0,13.0,8.0,4.0,0.0,436.0,11.0,98.0,272.0,67.0,5.0,436.0,0.0,1.0,0.0,223.0,5.0,2.0,0.0,266.0,13.0,3.0,0.0,11.0,9.0,0.0,0.0,1.0,0.0,59.0,6.0,9.0,40.0
-Giangiacomo Magnani,it ITA,DF,Hellas Verona,27-123,1995,8.0,3.0,336.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,3.7,1.0,0.0,33.3,0.27,0.0,0.0,0.07,-0.2,-0.2,66.0,93.0,71.0,1515.0,609.0,16.0,23.0,69.6,35.0,42.0,83.3,14.0,23.0,60.9,0.0,6.0,1.0,0.0,7.0,93.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.54,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,7.0,5.0,0.0,5.0,6.0,83.3,1.0,9.0,8.0,1.0,10.0,18.0,0.0,152.0,30.0,76.0,73.0,4.0,1.0,152.0,0.0,0.0,0.0,57.0,0.0,2.0,0.0,52.0,0.0,0.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,18.0,13.0,10.0,56.5
-Mike Maignan,fr FRA,GK,Milan,27-216,1995,7.0,7.0,630.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,186.0,241.0,77.2,5066.0,3245.0,32.0,32.0,100.0,91.0,92.0,98.9,62.0,113.0,54.9,0.0,7.0,0.0,0.0,0.0,213.0,25.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,256.0,200.0,256.0,0.0,0.0,0.0,256.0,0.0,0.0,0.0,188.0,0.0,0.0,0.0,161.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,13.0,1.0,0.0,100.0
-Jean-Victor Makengo,fr FRA,MF,Udinese,24-237,1998,16.0,11.0,805.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.11,0.11,0.0,0.11,0.4,0.4,0.04,0.04,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,264.0,316.0,83.5,3718.0,884.0,167.0,180.0,92.8,79.0,96.0,82.3,9.0,13.0,69.2,5.0,19.0,6.0,1.0,36.0,315.0,1.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,13.0,1.45,11.0,0.0,1.0,0.0,1.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,16.0,13.0,7.0,7.0,2.0,5.0,8.0,62.5,3.0,8.0,2.0,6.0,9.0,3.0,0.0,393.0,11.0,64.0,223.0,112.0,6.0,393.0,10.0,14.0,71.4,258.0,18.0,17.0,0.0,290.0,15.0,11.0,0.0,9.0,13.0,0.0,0.0,0.0,0.0,39.0,5.0,1.0,83.3
-Lorenzo Malagrida,it ITA,MF,Sampdoria,19-103,2003,1.0,0.0,10.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.74,0.74,0.1,1.0,0.0,100.0,9.0,0.0,0.0,0.08,-0.1,-0.1,2.0,2.0,100.0,19.0,16.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,0.0,1.0,1.0,2.0,1.0,4.0,1.0,1.0,100.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Daniel Maldini,it ITA,"FW,MF",Spezia,21-116,2001,8.0,1.0,307.0,1.0,0.0,0.0,0.0,0.0,0.0,0.29,0.0,0.29,0.29,0.29,0.7,0.7,0.22,0.22,3.4,4.0,0.0,57.1,1.17,0.14,0.25,0.11,0.3,0.3,72.0,100.0,72.0,977.0,170.0,39.0,49.0,79.6,21.0,27.0,77.8,4.0,10.0,40.0,0.0,5.0,3.0,1.0,4.0,90.0,10.0,1.0,0.0,0.0,6.0,4.0,4.0,0.0,0.0,0.0,0.0,3.0,8.0,2.35,5.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,2.0,4.0,3.0,5.0,60.0,2.0,3.0,0.0,3.0,1.0,6.0,0.0,149.0,6.0,20.0,65.0,64.0,10.0,149.0,2.0,9.0,22.2,76.0,6.0,5.0,2.0,95.0,12.0,2.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,14.0,5.0,9.0,35.7
-Youssef Maleh,it ITA,MF,Fiorentina,24-166,1998,7.0,4.0,297.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.17,0.17,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.6,-0.6,95.0,116.0,81.9,1462.0,376.0,55.0,63.0,87.3,31.0,35.0,88.6,7.0,12.0,58.3,6.0,8.0,5.0,2.0,11.0,111.0,4.0,3.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,7.0,2.12,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,3.0,0.0,0.0,4.0,0.0,4.0,5.0,0.0,5.0,1.0,3.0,0.0,150.0,4.0,18.0,79.0,53.0,11.0,150.0,1.0,3.0,33.3,93.0,3.0,4.0,1.0,96.0,6.0,6.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,20.0,3.0,4.0,42.9
-Youssef Maleh,it ITA,MF,Lecce,24-166,1998,5.0,2.0,177.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.09,0.09,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,35.0,50.0,70.0,488.0,114.0,23.0,28.0,82.1,11.0,16.0,68.8,1.0,3.0,33.3,1.0,4.0,1.0,0.0,5.0,48.0,2.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,2.0,4.0,2.0,3.0,3.0,100.0,0.0,4.0,0.0,4.0,0.0,4.0,0.0,80.0,4.0,25.0,30.0,25.0,3.0,80.0,0.0,1.0,0.0,33.0,2.0,1.0,1.0,37.0,2.0,3.0,0.0,8.0,1.0,1.0,0.0,0.0,0.0,13.0,5.0,2.0,71.4
-Ruslan Malinovskyi,ua UKR,"MF,FW",Atalanta,29-276,1993,15.0,5.0,553.0,1.0,2.0,0.0,0.0,2.0,0.0,0.16,0.33,0.49,0.16,0.49,0.6,0.6,0.1,0.1,6.1,6.0,0.0,31.6,0.98,0.05,0.17,0.03,0.4,0.4,248.0,332.0,74.7,4851.0,1645.0,106.0,123.0,86.2,97.0,121.0,80.2,39.0,64.0,60.9,13.0,36.0,15.0,0.0,50.0,304.0,23.0,8.0,2.0,11.0,23.0,13.0,6.0,6.0,0.0,2.0,5.0,6.0,26.0,4.25,16.0,7.0,1.0,1.0,1.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,6.0,3.0,6.0,17.0,35.3,11.0,8.0,1.0,7.0,5.0,2.0,0.0,425.0,2.0,61.0,220.0,152.0,8.0,425.0,8.0,20.0,40.0,278.0,19.0,17.0,3.0,303.0,21.0,9.0,0.0,10.0,11.0,0.0,0.0,0.0,0.0,57.0,5.0,7.0,41.7
-Gianluca Mancini,it ITA,DF,Roma,26-293,1996,20.0,20.0,1641.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.05,0.05,0.0,0.05,1.0,1.0,0.05,0.05,18.2,1.0,0.0,9.1,0.05,0.0,0.0,0.09,-1.0,-1.0,780.0,947.0,82.4,15034.0,5374.0,292.0,322.0,90.7,377.0,415.0,90.8,100.0,182.0,54.9,8.0,58.0,9.0,3.0,43.0,904.0,38.0,32.0,1.0,14.0,13.0,0.0,0.0,0.0,0.0,4.0,5.0,8.0,21.0,1.15,18.0,0.0,0.0,2.0,1.0,2.0,0.11,1.0,0.0,0.0,0.0,1.0,0.0,28.0,13.0,21.0,6.0,1.0,12.0,14.0,85.7,2.0,18.0,7.0,11.0,29.0,39.0,0.0,1090.0,123.0,543.0,502.0,55.0,14.0,1090.0,3.0,8.0,37.5,668.0,9.0,8.0,0.0,795.0,8.0,5.0,0.0,24.0,12.0,1.0,0.0,0.0,0.0,63.0,35.0,17.0,67.3
-Rolando Mandragora,it ITA,MF,Fiorentina,25-220,1997,14.0,10.0,886.0,1.0,1.0,0.0,0.0,4.0,0.0,0.1,0.1,0.2,0.1,0.2,0.8,0.8,0.08,0.08,9.8,4.0,0.0,18.2,0.41,0.05,0.25,0.04,0.2,0.2,393.0,474.0,82.9,7613.0,2275.0,149.0,173.0,86.1,187.0,207.0,90.3,46.0,68.0,67.6,14.0,55.0,7.0,3.0,76.0,438.0,34.0,20.0,1.0,11.0,25.0,12.0,6.0,3.0,0.0,2.0,2.0,7.0,38.0,3.86,28.0,6.0,0.0,3.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,22.0,12.0,6.0,13.0,3.0,11.0,19.0,57.9,8.0,9.0,1.0,8.0,8.0,15.0,0.0,589.0,19.0,89.0,335.0,169.0,18.0,589.0,2.0,6.0,33.3,312.0,13.0,10.0,3.0,368.0,8.0,2.0,0.0,19.0,9.0,1.0,0.0,0.0,0.0,51.0,14.0,13.0,51.9
-Riccardo Marchizza,it ITA,DF,Sassuolo,24-315,1998,3.0,1.0,62.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,23.0,56.5,235.0,118.0,6.0,9.0,66.7,5.0,8.0,62.5,2.0,6.0,33.3,0.0,3.0,0.0,0.0,2.0,13.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,29.0,2.0,9.0,12.0,8.0,0.0,29.0,0.0,1.0,0.0,10.0,0.0,0.0,0.0,9.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
-Gian Marco Ferrari,it ITA,DF,Sassuolo,30-354,1992,19.0,17.0,1529.0,1.0,0.0,0.0,0.0,5.0,0.0,0.06,0.0,0.06,0.06,0.06,0.9,0.9,0.05,0.05,17.0,1.0,0.0,20.0,0.06,0.2,1.0,0.18,0.1,0.1,704.0,828.0,85.0,14552.0,5164.0,205.0,225.0,91.1,385.0,425.0,90.6,105.0,157.0,66.9,1.0,42.0,2.0,0.0,55.0,732.0,94.0,64.0,0.0,13.0,1.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,12.0,0.71,10.0,1.0,0.0,0.0,1.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,0.0,19.0,13.0,9.0,9.0,1.0,9.0,12.0,75.0,3.0,17.0,14.0,3.0,15.0,62.0,3.0,959.0,144.0,513.0,419.0,33.0,9.0,959.0,0.0,2.0,0.0,526.0,8.0,6.0,0.0,586.0,5.0,1.0,0.0,17.0,24.0,0.0,0.0,2.0,0.0,65.0,24.0,12.0,66.7
-Pablo Marí,es ESP,DF,Monza,29-157,1993,13.0,11.0,1048.0,1.0,0.0,0.0,0.0,2.0,0.0,0.09,0.0,0.09,0.09,0.09,0.4,0.4,0.03,0.03,11.6,2.0,0.0,40.0,0.17,0.2,0.5,0.07,0.6,0.6,478.0,557.0,85.8,9646.0,3817.0,139.0,158.0,88.0,269.0,290.0,92.8,64.0,94.0,68.1,1.0,32.0,0.0,0.0,19.0,515.0,39.0,21.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,4.0,4.0,0.34,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,7.0,13.0,3.0,0.0,8.0,11.0,72.7,3.0,2.0,2.0,0.0,13.0,43.0,2.0,656.0,117.0,386.0,260.0,12.0,6.0,656.0,0.0,0.0,0.0,339.0,1.0,2.0,0.0,398.0,2.0,2.0,0.0,9.0,6.0,0.0,0.0,0.0,0.0,56.0,22.0,7.0,75.9
-Răzvan Marin,ro ROU,MF,Empoli,26-257,1996,19.0,14.0,1323.0,2.0,2.0,0.0,0.0,5.0,0.0,0.14,0.14,0.27,0.14,0.27,0.7,0.7,0.05,0.05,14.7,6.0,3.0,37.5,0.41,0.13,0.33,0.04,1.3,1.3,617.0,763.0,80.9,11081.0,4036.0,276.0,289.0,95.5,245.0,293.0,83.6,75.0,127.0,59.1,24.0,46.0,13.0,4.0,50.0,675.0,84.0,50.0,2.0,6.0,45.0,33.0,11.0,13.0,0.0,1.0,4.0,16.0,44.0,2.99,28.0,15.0,0.0,0.0,1.0,2.0,0.14,0.0,2.0,0.0,0.0,0.0,0.0,30.0,13.0,20.0,10.0,0.0,12.0,18.0,66.7,6.0,20.0,10.0,10.0,11.0,16.0,0.0,880.0,48.0,267.0,446.0,178.0,4.0,880.0,7.0,14.0,50.0,512.0,12.0,22.0,1.0,549.0,13.0,12.0,0.0,15.0,10.0,0.0,0.0,1.0,0.0,86.0,7.0,6.0,53.8
-Marlon,br BRA,DF,Monza,27-150,1995,16.0,13.0,1032.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,11.5,1.0,0.0,33.3,0.09,0.0,0.0,0.04,-0.1,-0.1,606.0,656.0,92.4,10637.0,3694.0,249.0,266.0,93.6,314.0,331.0,94.9,37.0,48.0,77.1,1.0,45.0,3.0,2.0,35.0,618.0,38.0,25.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,4.0,0.35,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,11.0,9.0,10.0,0.0,8.0,15.0,53.3,7.0,6.0,2.0,4.0,14.0,34.0,0.0,755.0,70.0,347.0,385.0,25.0,4.0,755.0,0.0,2.0,0.0,418.0,11.0,6.0,0.0,527.0,2.0,1.0,0.0,13.0,4.0,0.0,0.0,0.0,1.0,46.0,24.0,12.0,66.7
-Luca Marrone,it ITA,DF,Monza,32-313,1990,2.0,2.0,135.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,78.0,84.0,92.9,1371.0,634.0,34.0,35.0,97.1,39.0,41.0,95.1,5.0,8.0,62.5,0.0,0.0,0.0,0.0,4.0,78.0,6.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,2.0,2.0,0.0,0.0,4.0,1.0,93.0,12.0,66.0,25.0,2.0,1.0,93.0,0.0,0.0,0.0,59.0,0.0,0.0,0.0,64.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,8.0,4.0,5.0,44.4
-Lautaro Martínez,ar ARG,FW,Inter,25-166,1997,20.0,18.0,1585.0,11.0,3.0,1.0,1.0,1.0,0.0,0.62,0.17,0.79,0.57,0.74,9.0,8.2,0.51,0.47,17.6,25.0,0.0,36.8,1.42,0.15,0.4,0.12,2.0,1.8,291.0,397.0,73.3,4603.0,1080.0,147.0,194.0,75.8,102.0,128.0,79.7,23.0,30.0,76.7,27.0,23.0,13.0,0.0,50.0,362.0,34.0,1.0,4.0,6.0,6.0,0.0,0.0,0.0,0.0,2.0,1.0,11.0,56.0,3.18,40.0,1.0,3.0,5.0,6.0,9.0,0.51,4.0,0.0,1.0,1.0,2.0,1.0,11.0,4.0,0.0,8.0,3.0,2.0,7.0,28.6,5.0,20.0,1.0,19.0,6.0,12.0,1.0,624.0,16.0,51.0,275.0,305.0,98.0,623.0,16.0,45.0,35.6,350.0,29.0,19.0,14.0,460.0,39.0,27.0,0.0,27.0,39.0,6.0,1.0,0.0,0.0,53.0,22.0,25.0,46.8
-Lucas Martínez Quarta,ar ARG,DF,Fiorentina,26-270,1996,14.0,13.0,1136.0,1.0,1.0,0.0,0.0,2.0,0.0,0.08,0.08,0.16,0.08,0.16,1.7,1.7,0.14,0.14,12.6,8.0,0.0,50.0,0.63,0.06,0.13,0.11,-0.7,-0.7,682.0,821.0,83.1,14878.0,5983.0,195.0,219.0,89.0,365.0,402.0,90.8,116.0,175.0,66.3,5.0,62.0,2.0,0.0,65.0,794.0,25.0,23.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,6.0,12.0,0.95,8.0,0.0,0.0,3.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,48.0,26.0,27.0,19.0,2.0,29.0,39.0,74.4,10.0,23.0,12.0,11.0,27.0,44.0,1.0,995.0,73.0,455.0,492.0,60.0,22.0,995.0,0.0,3.0,0.0,587.0,16.0,19.0,1.0,613.0,6.0,2.0,0.0,9.0,18.0,0.0,0.0,0.0,0.0,98.0,45.0,16.0,73.8
-Adam Marušić,me MNE,DF,Lazio,30-110,1992,20.0,19.0,1738.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.05,0.05,0.0,0.05,0.4,0.4,0.02,0.02,19.3,6.0,0.0,60.0,0.31,0.0,0.0,0.04,-0.4,-0.4,956.0,1108.0,86.3,14572.0,5719.0,539.0,584.0,92.3,325.0,376.0,86.4,67.0,102.0,65.7,4.0,58.0,4.0,2.0,67.0,961.0,145.0,20.0,0.0,7.0,7.0,0.0,0.0,0.0,0.0,125.0,2.0,9.0,22.0,1.14,16.0,3.0,0.0,1.0,0.0,2.0,0.1,1.0,0.0,0.0,1.0,0.0,0.0,21.0,15.0,9.0,9.0,3.0,8.0,14.0,57.1,6.0,12.0,3.0,9.0,22.0,41.0,0.0,1236.0,53.0,495.0,600.0,150.0,10.0,1236.0,5.0,8.0,62.5,647.0,30.0,23.0,3.0,812.0,10.0,8.0,0.0,14.0,10.0,0.0,0.0,0.0,0.0,103.0,20.0,15.0,57.1
-Adam Masina,ma MAR,DF,Udinese,29-033,1994,4.0,4.0,304.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.3,0.3,0.3,0.0,0.0,0.01,0.01,3.4,1.0,0.0,100.0,0.3,1.0,1.0,0.03,1.0,1.0,112.0,148.0,75.7,2453.0,1159.0,35.0,42.0,83.3,54.0,68.0,79.4,21.0,33.0,63.6,1.0,8.0,2.0,2.0,8.0,128.0,18.0,5.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,13.0,2.0,0.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,2.0,3.0,66.7,1.0,2.0,2.0,0.0,7.0,12.0,1.0,175.0,18.0,89.0,73.0,16.0,3.0,175.0,0.0,0.0,0.0,108.0,2.0,1.0,1.0,101.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,12.0,13.0,5.0,72.2
-Nemanja Matić,rs SRB,MF,Roma,34-187,1988,20.0,9.0,1051.0,1.0,1.0,0.0,0.0,2.0,0.0,0.09,0.09,0.17,0.09,0.17,0.7,0.7,0.06,0.06,11.7,3.0,0.0,37.5,0.26,0.13,0.33,0.09,0.3,0.3,637.0,747.0,85.3,11242.0,3228.0,287.0,307.0,93.5,257.0,299.0,86.0,70.0,103.0,68.0,12.0,82.0,7.0,1.0,71.0,711.0,33.0,30.0,1.0,8.0,4.0,1.0,0.0,0.0,0.0,2.0,3.0,9.0,27.0,2.32,25.0,0.0,1.0,1.0,0.0,4.0,0.34,2.0,0.0,1.0,1.0,0.0,0.0,28.0,13.0,12.0,12.0,4.0,10.0,18.0,55.6,8.0,15.0,3.0,12.0,15.0,13.0,0.0,858.0,29.0,192.0,548.0,133.0,15.0,858.0,7.0,13.0,53.8,514.0,26.0,25.0,3.0,581.0,15.0,9.0,0.0,14.0,6.0,0.0,0.0,0.0,0.0,109.0,9.0,10.0,47.4
-Luís Maximiano,pt POR,GK,Lazio,24-030,1999,1.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,75.0,98.0,90.0,1.0,1.0,100.0,0.0,0.0,0.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Pasquale Mazzocchi,it ITA,DF,Salernitana,27-192,1995,15.0,15.0,1199.0,2.0,2.0,0.0,0.0,2.0,0.0,0.15,0.15,0.3,0.15,0.3,0.9,0.9,0.07,0.07,13.3,3.0,0.0,27.3,0.23,0.18,0.67,0.08,1.1,1.1,435.0,583.0,74.6,7209.0,2374.0,220.0,244.0,90.2,163.0,214.0,76.2,39.0,79.0,49.4,26.0,27.0,16.0,9.0,38.0,452.0,129.0,8.0,1.0,3.0,59.0,15.0,0.0,14.0,0.0,106.0,2.0,20.0,49.0,3.67,36.0,8.0,3.0,0.0,1.0,7.0,0.52,5.0,0.0,2.0,0.0,0.0,0.0,20.0,9.0,14.0,3.0,3.0,9.0,21.0,42.9,12.0,5.0,2.0,3.0,6.0,21.0,1.0,721.0,34.0,210.0,269.0,252.0,24.0,721.0,24.0,51.0,47.1,384.0,44.0,34.0,8.0,406.0,30.0,19.0,0.0,15.0,8.0,5.0,0.0,0.0,0.0,82.0,7.0,5.0,58.3
-Weston McKennie,us USA,"MF,DF",Juventus,24-160,1998,15.0,13.0,1052.0,1.0,1.0,0.0,0.0,0.0,0.0,0.09,0.09,0.17,0.09,0.17,0.9,0.9,0.08,0.08,11.7,4.0,0.0,50.0,0.34,0.13,0.25,0.11,0.1,0.1,336.0,418.0,80.4,5385.0,1516.0,175.0,207.0,84.5,125.0,147.0,85.0,28.0,38.0,73.7,8.0,23.0,6.0,4.0,39.0,389.0,27.0,3.0,1.0,2.0,15.0,0.0,0.0,0.0,0.0,24.0,2.0,7.0,17.0,1.45,15.0,0.0,0.0,2.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,3.0,9.0,2.0,5.0,8.0,62.5,3.0,15.0,4.0,11.0,11.0,15.0,1.0,527.0,25.0,115.0,250.0,164.0,22.0,527.0,5.0,8.0,62.5,231.0,19.0,11.0,2.0,349.0,20.0,12.0,0.0,13.0,7.0,3.0,0.0,0.0,0.0,43.0,12.0,16.0,42.9
-Gary Medel,cl CHI,"MF,DF",Bologna,35-185,1987,17.0,16.0,1267.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.07,0.07,0.0,0.07,0.1,0.1,0.0,0.0,14.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,800.0,903.0,88.6,14755.0,5092.0,313.0,338.0,92.6,374.0,397.0,94.2,91.0,135.0,67.4,4.0,54.0,4.0,0.0,46.0,858.0,45.0,42.0,1.0,7.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,19.0,1.35,16.0,0.0,0.0,0.0,1.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,12.0,7.0,2.0,8.0,14.0,57.1,6.0,12.0,8.0,4.0,23.0,32.0,0.0,1007.0,112.0,435.0,525.0,53.0,0.0,1007.0,4.0,4.0,100.0,524.0,1.0,3.0,0.0,641.0,6.0,4.0,0.0,15.0,16.0,0.0,0.0,0.0,0.0,121.0,13.0,13.0,50.0
-Soualiho Meïté,fr FRA,MF,Cremonese,28-324,1994,14.0,13.0,1049.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.09,0.09,0.0,0.09,0.3,0.3,0.02,0.02,11.7,1.0,0.0,12.5,0.09,0.0,0.0,0.03,-0.3,-0.3,322.0,399.0,80.7,5426.0,1588.0,163.0,183.0,89.1,122.0,141.0,86.5,30.0,52.0,57.7,6.0,33.0,14.0,3.0,41.0,389.0,7.0,5.0,1.0,5.0,8.0,0.0,0.0,0.0,0.0,2.0,3.0,6.0,21.0,1.8,20.0,0.0,0.0,0.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,25.0,16.0,15.0,7.0,3.0,14.0,26.0,53.8,12.0,11.0,2.0,9.0,11.0,14.0,0.0,518.0,21.0,150.0,282.0,94.0,8.0,518.0,8.0,24.0,33.3,280.0,9.0,8.0,3.0,314.0,16.0,11.0,0.0,13.0,17.0,0.0,0.0,0.0,0.0,76.0,12.0,8.0,60.0
-Alex Meret,it ITA,GK,Napoli,25-319,1997,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,486.0,562.0,86.5,11278.0,6823.0,113.0,113.0,100.0,251.0,254.0,98.8,119.0,192.0,62.0,0.0,1.0,0.0,0.0,0.0,415.0,147.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,593.0,519.0,592.0,1.0,0.0,0.0,593.0,0.0,0.0,0.0,317.0,0.0,0.0,0.0,288.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,2.0,0.0,100.0
-Yıldırım Mert Çetin,tr TUR,DF,Lecce,26-034,1997,1.0,1.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,38.0,8.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,8.0,2.0,5.0,3.0,0.0,0.0,8.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Junior Messias,br BRA,"FW,DF",Milan,31-267,1991,14.0,10.0,834.0,2.0,2.0,0.0,0.0,1.0,0.0,0.22,0.22,0.43,0.22,0.43,1.1,1.1,0.12,0.12,9.3,7.0,0.0,41.2,0.76,0.12,0.29,0.07,0.9,0.9,219.0,300.0,73.0,3471.0,744.0,118.0,143.0,82.5,83.0,106.0,78.3,14.0,30.0,46.7,8.0,18.0,3.0,1.0,31.0,291.0,8.0,3.0,2.0,1.0,13.0,0.0,0.0,0.0,0.0,5.0,1.0,7.0,32.0,3.45,20.0,0.0,4.0,4.0,4.0,5.0,0.54,4.0,0.0,1.0,0.0,0.0,0.0,12.0,9.0,3.0,5.0,4.0,5.0,10.0,50.0,5.0,12.0,3.0,9.0,4.0,11.0,0.0,403.0,16.0,52.0,169.0,188.0,31.0,403.0,12.0,31.0,38.7,240.0,24.0,21.0,8.0,278.0,15.0,6.0,0.0,14.0,15.0,1.0,0.0,0.0,0.0,34.0,18.0,24.0,42.9
-Tommaso Milanese,it ITA,MF,Cremonese,20-188,2002,2.0,0.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,14.0,71.4,182.0,41.0,4.0,5.0,80.0,3.0,5.0,60.0,2.0,3.0,66.7,3.0,3.0,0.0,0.0,2.0,11.0,3.0,1.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,6.43,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,19.0,0.0,1.0,7.0,12.0,2.0,19.0,1.0,2.0,50.0,13.0,2.0,1.0,0.0,14.0,3.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Nikola Milenković,rs SRB,DF,Fiorentina,25-115,1997,15.0,13.0,1198.0,2.0,1.0,0.0,0.0,2.0,0.0,0.15,0.08,0.23,0.15,0.23,1.6,1.6,0.12,0.12,13.3,3.0,0.0,25.0,0.23,0.17,0.67,0.13,0.4,0.4,657.0,762.0,86.2,12925.0,3804.0,222.0,244.0,91.0,349.0,389.0,89.7,80.0,111.0,72.1,6.0,37.0,1.0,0.0,41.0,737.0,22.0,20.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,4.0,19.0,1.43,16.0,0.0,0.0,3.0,0.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,10.0,8.0,3.0,10.0,13.0,76.9,3.0,13.0,6.0,7.0,15.0,35.0,0.0,888.0,82.0,404.0,440.0,48.0,24.0,888.0,0.0,0.0,0.0,507.0,1.0,5.0,0.0,544.0,4.0,0.0,0.0,21.0,12.0,0.0,0.0,0.0,1.0,65.0,37.0,14.0,72.5
-Arkadiusz Milik,pl POL,FW,Juventus,28-341,1994,17.0,10.0,986.0,6.0,1.0,0.0,0.0,3.0,1.0,0.55,0.09,0.64,0.55,0.64,4.2,4.2,0.39,0.39,11.0,16.0,1.0,55.2,1.46,0.21,0.38,0.15,1.8,1.8,218.0,279.0,78.1,3030.0,498.0,130.0,154.0,84.4,68.0,82.0,82.9,7.0,13.0,53.8,8.0,10.0,6.0,0.0,20.0,260.0,15.0,2.0,2.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,20.0,1.84,13.0,0.0,0.0,4.0,1.0,3.0,0.28,2.0,0.0,0.0,0.0,0.0,1.0,7.0,5.0,1.0,4.0,2.0,2.0,4.0,50.0,2.0,7.0,0.0,7.0,0.0,9.0,0.0,381.0,10.0,29.0,186.0,171.0,46.0,381.0,5.0,10.0,50.0,210.0,8.0,11.0,1.0,299.0,31.0,9.0,1.0,12.0,17.0,3.0,0.0,0.0,0.0,26.0,22.0,39.0,36.1
-Sergej Milinković-Savić,rs SRB,MF,Lazio,27-342,1995,19.0,18.0,1566.0,4.0,8.0,0.0,0.0,7.0,0.0,0.23,0.46,0.69,0.23,0.69,2.5,2.5,0.15,0.15,17.4,8.0,1.0,26.7,0.46,0.13,0.5,0.08,1.5,1.5,769.0,1024.0,75.1,12334.0,3507.0,423.0,512.0,82.6,247.0,310.0,79.7,75.0,131.0,57.3,24.0,82.0,28.0,3.0,95.0,1000.0,20.0,13.0,11.0,13.0,17.0,0.0,0.0,0.0,0.0,7.0,4.0,23.0,43.0,2.47,38.0,1.0,1.0,3.0,0.0,11.0,0.63,10.0,0.0,0.0,1.0,0.0,0.0,36.0,19.0,17.0,14.0,5.0,18.0,34.0,52.9,16.0,25.0,7.0,18.0,19.0,27.0,0.0,1295.0,45.0,247.0,737.0,323.0,35.0,1295.0,15.0,38.0,39.5,779.0,28.0,17.0,7.0,1027.0,61.0,36.0,0.0,19.0,41.0,1.0,0.0,0.0,0.0,99.0,47.0,29.0,61.8
-Vanja Milinković-Savić,rs SRB,GK,Torino,25-349,1997,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,531.0,921.0,57.7,17466.0,12739.0,60.0,61.0,98.4,266.0,271.0,98.2,204.0,579.0,35.2,0.0,50.0,2.0,0.0,0.0,708.0,204.0,54.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,0.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,11.0,1.0,967.0,678.0,954.0,14.0,1.0,1.0,967.0,0.0,0.0,0.0,620.0,0.0,0.0,0.0,499.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,26.0,5.0,0.0,100.0
-Kim Min-jae,kr KOR,DF,Napoli,26-081,1996,19.0,19.0,1665.0,2.0,0.0,0.0,0.0,4.0,0.0,0.11,0.0,0.11,0.11,0.11,0.5,0.5,0.03,0.03,18.5,2.0,0.0,40.0,0.11,0.4,1.0,0.1,1.5,1.5,1313.0,1456.0,90.2,24128.0,8993.0,521.0,558.0,93.4,648.0,684.0,94.7,120.0,167.0,71.9,7.0,103.0,5.0,1.0,83.0,1423.0,30.0,28.0,1.0,22.0,3.0,0.0,0.0,0.0,0.0,1.0,3.0,10.0,24.0,1.3,22.0,0.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,35.0,22.0,25.0,10.0,0.0,14.0,16.0,87.5,2.0,26.0,21.0,5.0,19.0,79.0,1.0,1652.0,194.0,722.0,897.0,40.0,12.0,1652.0,1.0,4.0,25.0,991.0,21.0,7.0,1.0,1186.0,10.0,7.0,0.0,15.0,3.0,0.0,0.0,0.0,0.0,126.0,48.0,28.0,63.2
-Aleksei Miranchuk,ru RUS,MF,Torino,27-110,1995,14.0,12.0,986.0,4.0,2.0,0.0,0.0,0.0,0.0,0.37,0.18,0.55,0.37,0.55,1.7,1.7,0.16,0.16,11.0,10.0,0.0,47.6,0.91,0.19,0.4,0.08,2.3,2.3,300.0,369.0,81.3,4627.0,1039.0,155.0,175.0,88.6,103.0,120.0,85.8,23.0,44.0,52.3,19.0,25.0,9.0,2.0,41.0,354.0,13.0,3.0,1.0,1.0,8.0,6.0,4.0,0.0,0.0,4.0,2.0,5.0,36.0,3.28,30.0,1.0,1.0,2.0,2.0,5.0,0.46,4.0,0.0,0.0,0.0,1.0,0.0,5.0,2.0,1.0,3.0,1.0,1.0,3.0,33.3,2.0,4.0,0.0,4.0,1.0,3.0,0.0,465.0,4.0,31.0,232.0,206.0,28.0,465.0,4.0,17.0,23.5,291.0,22.0,23.0,5.0,368.0,22.0,13.0,0.0,4.0,13.0,0.0,1.0,0.0,0.0,41.0,4.0,13.0,23.5
-Fabio Miretti,it ITA,"MF,FW",Juventus,19-185,2003,17.0,8.0,787.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.11,0.11,0.0,0.11,1.4,1.4,0.16,0.16,8.7,5.0,0.0,29.4,0.57,0.0,0.0,0.08,-1.4,-1.4,253.0,356.0,71.1,4000.0,1059.0,135.0,166.0,81.3,91.0,118.0,77.1,18.0,43.0,41.9,12.0,25.0,8.0,1.0,35.0,337.0,17.0,3.0,1.0,3.0,15.0,8.0,3.0,4.0,0.0,4.0,2.0,12.0,31.0,3.56,19.0,4.0,3.0,5.0,0.0,3.0,0.34,3.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,10.0,5.0,2.0,8.0,17.0,47.1,9.0,14.0,1.0,13.0,2.0,8.0,0.0,483.0,11.0,74.0,245.0,171.0,35.0,483.0,9.0,24.0,37.5,276.0,19.0,13.0,4.0,329.0,29.0,17.0,0.0,16.0,13.0,1.0,0.0,0.0,0.0,58.0,3.0,12.0,20.0
-Henrikh Mkhitaryan,am ARM,MF,Inter,34-014,1989,17.0,12.0,1079.0,1.0,1.0,0.0,0.0,2.0,0.0,0.08,0.08,0.17,0.08,0.17,1.1,1.1,0.09,0.09,12.0,1.0,0.0,7.7,0.08,0.08,1.0,0.09,-0.1,-0.1,453.0,525.0,86.3,7260.0,1849.0,235.0,251.0,93.6,169.0,198.0,85.4,31.0,44.0,70.5,10.0,45.0,14.0,6.0,64.0,512.0,11.0,4.0,2.0,2.0,13.0,2.0,1.0,1.0,0.0,5.0,2.0,5.0,38.0,3.18,30.0,0.0,0.0,3.0,4.0,6.0,0.5,5.0,0.0,0.0,0.0,0.0,1.0,21.0,12.0,6.0,13.0,2.0,7.0,15.0,46.7,8.0,17.0,2.0,15.0,10.0,10.0,0.0,638.0,15.0,102.0,363.0,184.0,21.0,638.0,5.0,15.0,33.3,358.0,27.0,23.0,7.0,440.0,24.0,10.0,0.0,15.0,15.0,0.0,0.0,0.0,0.0,90.0,2.0,7.0,22.2
-Salvatore Molina,it ITA,DF,Monza,31-034,1992,5.0,1.0,229.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,86.0,114.0,75.4,1260.0,424.0,49.0,55.0,89.1,36.0,45.0,80.0,1.0,8.0,12.5,2.0,4.0,5.0,4.0,7.0,96.0,17.0,2.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,15.0,1.0,3.0,5.0,1.97,5.0,0.0,0.0,0.0,0.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,2.0,4.0,0.0,4.0,5.0,80.0,1.0,4.0,2.0,2.0,1.0,2.0,0.0,139.0,6.0,29.0,47.0,65.0,1.0,139.0,2.0,4.0,50.0,79.0,9.0,5.0,0.0,85.0,4.0,2.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,10.0,0.0,1.0,0.0
-Daniele Montevago,it ITA,FW,Sampdoria,19-323,2003,6.0,3.0,231.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.19,0.19,2.6,1.0,0.0,14.3,0.39,0.0,0.0,0.07,-0.5,-0.5,23.0,40.0,57.5,228.0,22.0,14.0,20.0,70.0,4.0,8.0,50.0,0.0,3.0,0.0,4.0,1.0,0.0,0.0,0.0,37.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,2.75,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,79.0,2.0,4.0,31.0,44.0,18.0,79.0,0.0,4.0,0.0,42.0,1.0,1.0,1.0,61.0,9.0,4.0,0.0,8.0,4.0,4.0,0.0,0.0,0.0,5.0,14.0,23.0,37.8
-Lorenzo Montipò,it ITA,GK,Hellas Verona,26-349,1996,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,413.0,623.0,66.3,15472.0,12904.0,49.0,50.0,98.0,142.0,146.0,97.3,219.0,422.0,51.9,0.0,32.0,1.0,0.0,0.0,405.0,216.0,57.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,0.35,2.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,1.0,0.0,22.0,2.0,698.0,557.0,691.0,9.0,0.0,0.0,698.0,0.0,0.0,0.0,299.0,0.0,1.0,0.0,237.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,39.0,2.0,2.0,50.0
-Nikola Moro,hr CRO,MF,Bologna,24-329,1998,8.0,4.0,398.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.23,0.23,0.0,0.23,0.1,0.1,0.03,0.03,4.4,1.0,0.0,20.0,0.23,0.0,0.0,0.02,-0.1,-0.1,177.0,230.0,77.0,3480.0,1138.0,62.0,81.0,76.5,81.0,95.0,85.3,30.0,43.0,69.8,5.0,25.0,3.0,0.0,30.0,221.0,7.0,5.0,1.0,5.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,3.0,12.0,2.71,12.0,0.0,0.0,0.0,0.0,2.0,0.45,2.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,3.0,5.0,0.0,3.0,8.0,37.5,5.0,6.0,0.0,6.0,3.0,5.0,0.0,265.0,11.0,65.0,165.0,39.0,2.0,265.0,4.0,4.0,100.0,145.0,1.0,3.0,0.0,172.0,1.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,35.0,4.0,5.0,44.4
-Dany Mota,pt POR,"FW,MF",Monza,24-278,1998,14.0,10.0,918.0,3.0,0.0,0.0,0.0,1.0,0.0,0.29,0.0,0.29,0.29,0.29,3.0,3.0,0.29,0.29,10.2,4.0,0.0,33.3,0.39,0.25,0.75,0.25,0.0,0.0,189.0,286.0,66.1,2638.0,344.0,116.0,152.0,76.3,56.0,83.0,67.5,8.0,15.0,53.3,11.0,8.0,7.0,4.0,12.0,271.0,15.0,1.0,1.0,1.0,26.0,0.0,0.0,0.0,0.0,2.0,0.0,19.0,25.0,2.45,20.0,0.0,2.0,1.0,2.0,2.0,0.2,0.0,0.0,1.0,0.0,1.0,0.0,5.0,4.0,0.0,2.0,3.0,1.0,2.0,50.0,1.0,4.0,1.0,3.0,2.0,13.0,0.0,402.0,14.0,31.0,183.0,189.0,44.0,402.0,13.0,29.0,44.8,243.0,35.0,15.0,15.0,303.0,39.0,21.0,0.0,14.0,17.0,10.0,1.0,0.0,0.0,28.0,20.0,29.0,40.8
-João Moutinho,pt POR,"DF,FW",Spezia,25-023,1998,4.0,0.0,58.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,42.0,71.4,405.0,162.0,18.0,20.0,90.0,9.0,12.0,75.0,1.0,6.0,16.7,1.0,4.0,0.0,0.0,1.0,34.0,8.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,1.0,1.55,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,5.0,1.0,1.0,3.0,4.0,75.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,51.0,3.0,11.0,20.0,20.0,0.0,51.0,0.0,0.0,0.0,18.0,0.0,1.0,0.0,24.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
-Mert Müldür,tr TUR,DF,Sassuolo,23-307,1999,1.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,11.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Luis Muriel,co COL,FW,Atalanta,31-294,1991,12.0,6.0,569.0,1.0,2.0,1.0,1.0,2.0,1.0,0.16,0.32,0.47,0.0,0.32,1.3,0.6,0.21,0.09,6.3,3.0,2.0,27.3,0.47,0.0,0.0,0.05,-0.3,-0.6,150.0,235.0,63.8,2520.0,742.0,79.0,106.0,74.5,47.0,67.0,70.1,17.0,41.0,41.5,15.0,12.0,17.0,2.0,36.0,207.0,27.0,4.0,3.0,8.0,27.0,10.0,6.0,2.0,0.0,5.0,1.0,5.0,28.0,4.42,23.0,2.0,2.0,0.0,1.0,4.0,0.63,3.0,0.0,0.0,0.0,1.0,0.0,5.0,3.0,1.0,2.0,2.0,2.0,7.0,28.6,5.0,5.0,0.0,5.0,0.0,2.0,0.0,321.0,3.0,14.0,126.0,183.0,39.0,320.0,9.0,30.0,30.0,186.0,30.0,18.0,17.0,251.0,26.0,15.0,1.0,8.0,7.0,2.0,1.0,0.0,0.0,21.0,6.0,14.0,30.0
-Jeison Murillo,co COL,DF,Sampdoria,30-253,1992,11.0,8.0,685.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.6,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,299.0,367.0,81.5,6228.0,2354.0,90.0,99.0,90.9,165.0,186.0,88.7,43.0,73.0,58.9,1.0,26.0,1.0,0.0,30.0,330.0,36.0,23.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,13.0,1.0,4.0,5.0,0.66,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,11.0,5.0,0.0,13.0,17.0,76.5,4.0,13.0,8.0,5.0,5.0,24.0,0.0,440.0,53.0,209.0,214.0,22.0,2.0,440.0,1.0,3.0,33.3,209.0,8.0,4.0,0.0,248.0,5.0,1.0,0.0,9.0,13.0,0.0,0.0,0.0,1.0,44.0,25.0,16.0,61.0
-Nicola Murru,it ITA,DF,Sampdoria,28-050,1994,8.0,3.0,336.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,106.0,145.0,73.1,1928.0,949.0,43.0,48.0,89.6,47.0,61.0,77.0,12.0,28.0,42.9,1.0,12.0,2.0,1.0,15.0,127.0,17.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,16.0,1.0,0.0,2.0,0.54,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,10.0,4.0,1.0,4.0,6.0,66.7,2.0,9.0,3.0,6.0,1.0,9.0,0.0,184.0,16.0,75.0,81.0,29.0,1.0,184.0,0.0,1.0,0.0,83.0,2.0,1.0,0.0,99.0,2.0,1.0,0.0,3.0,1.0,1.0,0.0,1.0,0.0,16.0,5.0,4.0,55.6
-Juan Musso,ar ARG,GK,Atalanta,28-274,1994,14.0,14.0,1177.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,326.0,433.0,75.3,9558.0,6758.0,55.0,55.0,100.0,144.0,146.0,98.6,125.0,228.0,54.8,1.0,0.0,0.0,0.0,0.0,308.0,124.0,32.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,450.0,401.0,448.0,2.0,0.0,0.0,450.0,0.0,0.0,0.0,272.0,0.0,1.0,1.0,197.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-Joakim Mæhle,dk DEN,"DF,MF",Atalanta,25-260,1997,18.0,11.0,1021.0,2.0,1.0,0.0,0.0,2.0,0.0,0.18,0.09,0.26,0.18,0.26,2.3,2.3,0.2,0.2,11.3,4.0,0.0,30.8,0.35,0.15,0.5,0.18,-0.3,-0.3,556.0,686.0,81.0,7779.0,2799.0,353.0,394.0,89.6,163.0,199.0,81.9,22.0,41.0,53.7,19.0,36.0,22.0,5.0,68.0,565.0,119.0,3.0,1.0,2.0,18.0,0.0,0.0,0.0,0.0,116.0,2.0,21.0,44.0,3.88,37.0,3.0,0.0,1.0,1.0,3.0,0.26,2.0,1.0,0.0,0.0,0.0,0.0,19.0,11.0,6.0,4.0,9.0,13.0,22.0,59.1,9.0,12.0,2.0,10.0,10.0,9.0,0.0,815.0,16.0,171.0,317.0,338.0,32.0,815.0,5.0,20.0,25.0,461.0,41.0,30.0,5.0,529.0,23.0,11.0,0.0,10.0,8.0,2.0,0.0,0.0,0.0,71.0,2.0,6.0,25.0
-Michel Ndary Adopo,fr FRA,"MF,DF",Torino,22-200,2000,5.0,2.0,173.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,63.0,77.0,81.8,988.0,234.0,29.0,34.0,85.3,29.0,34.0,85.3,4.0,5.0,80.0,0.0,4.0,0.0,0.0,5.0,75.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.52,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,2.0,2.0,0.0,0.0,2.0,0.0,95.0,5.0,20.0,61.0,14.0,1.0,95.0,1.0,3.0,33.3,48.0,1.0,0.0,0.0,60.0,2.0,2.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,5.0,54.5
-Tanguy Ndombele,fr FRA,MF,Napoli,26-038,1996,18.0,6.0,528.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.09,0.09,5.9,1.0,0.0,7.7,0.17,0.0,0.0,0.04,-0.5,-0.5,351.0,389.0,90.2,4815.0,1241.0,226.0,242.0,93.4,99.0,102.0,97.1,12.0,20.0,60.0,8.0,29.0,8.0,0.0,41.0,382.0,7.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,16.0,2.74,14.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,1.0,5.0,1.0,3.0,5.0,60.0,2.0,2.0,0.0,2.0,4.0,5.0,1.0,453.0,8.0,51.0,281.0,124.0,20.0,453.0,12.0,18.0,66.7,310.0,14.0,13.0,3.0,390.0,17.0,13.0,0.0,9.0,15.0,0.0,0.0,1.0,0.0,28.0,4.0,2.0,66.7
-Ilija Nestorovski,mk MKD,"FW,MF",Udinese,32-329,1990,10.0,0.0,115.0,1.0,1.0,0.0,0.0,2.0,0.0,0.78,0.78,1.57,0.78,1.57,0.3,0.3,0.21,0.21,1.3,1.0,0.0,33.3,0.78,0.33,1.0,0.09,0.7,0.7,24.0,33.0,72.7,291.0,73.0,19.0,22.0,86.4,5.0,8.0,62.5,0.0,1.0,0.0,1.0,2.0,0.0,0.0,5.0,33.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.79,1.0,0.0,0.0,0.0,0.0,1.0,0.79,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,3.0,33.3,2.0,2.0,0.0,2.0,0.0,2.0,0.0,45.0,2.0,3.0,22.0,21.0,7.0,45.0,2.0,2.0,100.0,17.0,0.0,1.0,0.0,28.0,3.0,0.0,0.0,4.0,1.0,2.0,0.0,0.0,0.0,4.0,1.0,6.0,14.3
-Cyril Ngonge,be BEL,MF,Hellas Verona,22-254,2000,1.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.44,0.44,0.2,1.0,0.0,50.0,5.0,0.0,0.0,0.04,-0.1,-0.1,4.0,5.0,80.0,106.0,62.0,0.0,0.0,0.0,2.0,2.0,100.0,2.0,2.0,100.0,1.0,1.0,1.0,1.0,1.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,10.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,3.0,1.0,8.0,2.0,12.0,0.0,0.0,0.0,7.0,2.0,0.0,2.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0
-Hans Nicolussi Caviglia,it ITA,MF,Salernitana,22-231,2000,4.0,3.0,315.0,1.0,0.0,0.0,0.0,1.0,0.0,0.29,0.0,0.29,0.29,0.29,0.1,0.1,0.02,0.02,3.5,1.0,0.0,100.0,0.29,1.0,1.0,0.08,0.9,0.9,90.0,121.0,74.4,1615.0,574.0,34.0,41.0,82.9,45.0,56.0,80.4,6.0,12.0,50.0,0.0,9.0,0.0,0.0,13.0,113.0,7.0,5.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,0.86,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,5.0,0.0,1.0,4.0,5.0,80.0,1.0,5.0,0.0,5.0,3.0,7.0,0.0,155.0,9.0,49.0,84.0,22.0,2.0,155.0,0.0,3.0,0.0,62.0,0.0,1.0,0.0,80.0,4.0,1.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,21.0,1.0,3.0,25.0
-Dimitris Nikolaou,gr GRE,DF,Spezia,24-175,1998,18.0,17.0,1509.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,16.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,693.0,868.0,79.8,12605.0,5382.0,297.0,323.0,92.0,305.0,350.0,87.1,75.0,163.0,46.0,5.0,60.0,2.0,1.0,57.0,814.0,49.0,19.0,0.0,15.0,4.0,0.0,0.0,0.0,0.0,20.0,5.0,6.0,14.0,0.84,13.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,16.0,15.0,6.0,0.0,11.0,12.0,91.7,1.0,23.0,17.0,6.0,15.0,34.0,0.0,995.0,117.0,510.0,442.0,52.0,9.0,995.0,2.0,5.0,40.0,625.0,13.0,12.0,0.0,669.0,9.0,5.0,0.0,11.0,10.0,0.0,0.0,0.0,0.0,118.0,10.0,14.0,41.7
-Bram Nuytinck,nl NED,DF,Udinese,32-276,1990,6.0,3.0,385.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,113.0,139.0,81.3,2516.0,1038.0,24.0,27.0,88.9,67.0,75.0,89.3,20.0,32.0,62.5,0.0,4.0,1.0,0.0,4.0,124.0,14.0,4.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,2.0,2.0,0.47,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,3.0,4.0,0.0,4.0,8.0,50.0,4.0,6.0,6.0,0.0,5.0,22.0,0.0,185.0,37.0,117.0,65.0,4.0,2.0,185.0,1.0,1.0,100.0,90.0,1.0,0.0,0.0,88.0,1.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,19.0,7.0,5.0,58.3
-Bram Nuytinck,nl NED,DF,Sampdoria,32-276,1990,5.0,5.0,440.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,4.9,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,164.0,195.0,84.1,3199.0,1108.0,43.0,50.0,86.0,104.0,112.0,92.9,15.0,27.0,55.6,1.0,6.0,0.0,0.0,9.0,178.0,15.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,14.0,14.0,5.0,0.0,8.0,13.0,61.5,5.0,11.0,6.0,5.0,6.0,21.0,0.0,256.0,46.0,157.0,94.0,5.0,5.0,256.0,0.0,1.0,0.0,125.0,1.0,0.0,0.0,138.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,1.0,0.0,23.0,6.0,6.0,50.0
-M'Bala Nzola,ao ANG,FW,Spezia,26-170,1996,18.0,18.0,1596.0,9.0,1.0,2.0,2.0,4.0,0.0,0.51,0.06,0.56,0.39,0.45,6.8,5.2,0.38,0.3,17.7,15.0,0.0,37.5,0.85,0.18,0.47,0.13,2.2,1.8,270.0,342.0,78.9,3354.0,543.0,186.0,219.0,84.9,62.0,79.0,78.5,5.0,6.0,83.3,16.0,19.0,11.0,2.0,34.0,327.0,13.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,2.0,2.0,8.0,31.0,1.75,26.0,0.0,1.0,3.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,0.0,3.0,3.0,1.0,5.0,20.0,4.0,13.0,4.0,9.0,5.0,17.0,0.0,580.0,25.0,46.0,217.0,323.0,84.0,578.0,9.0,34.0,26.5,364.0,27.0,13.0,13.0,465.0,73.0,53.0,0.0,38.0,21.0,7.0,0.0,0.0,0.0,42.0,27.0,57.0,32.1
-Pedro Obiang,gq EQG,MF,Sassuolo,30-314,1992,9.0,6.0,474.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.19,0.19,0.0,0.19,0.3,0.3,0.05,0.05,5.3,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.3,-0.3,165.0,195.0,84.6,3073.0,1088.0,81.0,96.0,84.4,61.0,65.0,93.8,22.0,28.0,78.6,2.0,9.0,0.0,0.0,17.0,175.0,19.0,19.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,6.0,1.13,4.0,0.0,1.0,1.0,0.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,0.0,19.0,11.0,9.0,9.0,1.0,6.0,10.0,60.0,4.0,6.0,1.0,5.0,7.0,11.0,0.0,249.0,18.0,74.0,154.0,22.0,2.0,249.0,2.0,3.0,66.7,110.0,0.0,2.0,0.0,134.0,3.0,1.0,0.0,10.0,5.0,0.0,0.0,0.0,0.0,26.0,7.0,14.0,33.3
-Guillermo Ochoa,mx MEX,GK,Salernitana,37-206,1985,5.0,5.0,450.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,95.0,185.0,51.4,3678.0,3045.0,10.0,10.0,100.0,27.0,29.0,93.1,58.0,144.0,40.3,0.0,4.0,0.0,0.0,0.0,113.0,70.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.4,2.0,0.0,0.0,0.0,0.0,2.0,0.4,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,209.0,179.0,208.0,1.0,0.0,0.0,209.0,0.0,0.0,0.0,80.0,0.0,0.0,0.0,70.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
-David Okereke,ng NGA,"FW,MF",Cremonese,25-159,1997,20.0,17.0,1444.0,5.0,0.0,1.0,1.0,4.0,0.0,0.31,0.0,0.31,0.25,0.25,3.2,2.4,0.2,0.15,16.0,11.0,0.0,30.6,0.69,0.11,0.36,0.07,1.8,1.6,220.0,327.0,67.3,3814.0,946.0,104.0,145.0,71.7,83.0,104.0,79.8,27.0,37.0,73.0,15.0,20.0,19.0,5.0,53.0,313.0,10.0,1.0,2.0,1.0,19.0,0.0,0.0,0.0,0.0,6.0,4.0,19.0,52.0,3.24,31.0,1.0,5.0,6.0,7.0,1.0,0.06,0.0,0.0,0.0,0.0,1.0,0.0,7.0,5.0,3.0,2.0,2.0,0.0,6.0,0.0,6.0,19.0,3.0,16.0,4.0,9.0,0.0,506.0,15.0,38.0,197.0,276.0,57.0,505.0,18.0,42.0,42.9,280.0,35.0,30.0,8.0,375.0,40.0,27.0,0.0,13.0,24.0,7.0,2.0,1.0,0.0,31.0,30.0,55.0,35.3
-Caleb Okoli,it ITA,DF,Atalanta,21-206,2001,13.0,9.0,845.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,9.4,2.0,0.0,40.0,0.21,0.0,0.0,0.07,-0.3,-0.3,297.0,387.0,76.7,5230.0,2068.0,127.0,155.0,81.9,134.0,164.0,81.7,27.0,43.0,62.8,0.0,9.0,1.0,0.0,13.0,363.0,24.0,17.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,6.0,1.0,0.11,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,17.0,14.0,6.0,1.0,10.0,23.0,43.5,13.0,9.0,5.0,4.0,26.0,41.0,3.0,514.0,56.0,302.0,188.0,30.0,8.0,514.0,0.0,1.0,0.0,228.0,2.0,4.0,0.0,239.0,11.0,3.0,0.0,13.0,7.0,0.0,0.0,0.0,0.0,59.0,40.0,23.0,63.5
-Mathías Olivera,uy URU,DF,Napoli,25-096,1997,14.0,5.0,514.0,1.0,0.0,0.0,0.0,1.0,0.0,0.18,0.0,0.18,0.18,0.18,0.4,0.4,0.07,0.07,5.7,1.0,0.0,50.0,0.18,0.5,1.0,0.2,0.6,0.6,396.0,459.0,86.3,5259.0,1762.0,271.0,294.0,92.2,92.0,105.0,87.6,18.0,29.0,62.1,10.0,33.0,6.0,1.0,30.0,379.0,79.0,9.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,70.0,1.0,10.0,16.0,2.8,14.0,1.0,0.0,0.0,0.0,2.0,0.35,2.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,5.0,6.0,4.0,7.0,15.0,46.7,8.0,6.0,2.0,4.0,6.0,14.0,0.0,531.0,18.0,127.0,263.0,146.0,10.0,531.0,3.0,7.0,42.9,326.0,28.0,21.0,1.0,340.0,8.0,14.0,0.0,6.0,9.0,0.0,0.0,0.0,0.0,36.0,3.0,5.0,37.5
-André Onana,cm CMR,GK,Inter,26-308,1996,12.0,12.0,1080.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,386.0,489.0,78.9,9728.0,6626.0,100.0,100.0,100.0,174.0,179.0,97.2,109.0,206.0,52.9,1.0,6.0,0.0,0.0,2.0,389.0,99.0,11.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,0.25,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,510.0,441.0,500.0,10.0,0.0,0.0,510.0,0.0,0.0,0.0,330.0,0.0,0.0,0.0,294.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-Divock Origi,be BEL,FW,Milan,27-292,1995,13.0,4.0,510.0,2.0,1.0,0.0,0.0,1.0,0.0,0.35,0.18,0.53,0.35,0.53,1.2,1.2,0.22,0.22,5.7,8.0,0.0,47.1,1.41,0.12,0.25,0.07,0.8,0.8,68.0,103.0,66.0,896.0,222.0,40.0,52.0,76.9,18.0,31.0,58.1,3.0,7.0,42.9,7.0,4.0,3.0,0.0,9.0,97.0,6.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,17.0,3.01,10.0,0.0,3.0,1.0,3.0,1.0,0.18,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,2.0,2.0,100.0,0.0,2.0,1.0,1.0,0.0,9.0,0.0,183.0,9.0,17.0,74.0,95.0,23.0,183.0,8.0,16.0,50.0,99.0,10.0,5.0,8.0,134.0,23.0,12.0,0.0,6.0,11.0,4.0,0.0,0.0,0.0,11.0,9.0,17.0,34.6
-Riccardo Orsolini,it ITA,FW,Bologna,26-011,1997,17.0,11.0,1069.0,4.0,2.0,0.0,0.0,2.0,1.0,0.34,0.17,0.51,0.34,0.51,4.4,4.4,0.37,0.37,11.9,14.0,2.0,32.6,1.18,0.09,0.29,0.1,-0.4,-0.4,265.0,432.0,61.3,5070.0,1420.0,127.0,174.0,73.0,73.0,120.0,60.8,47.0,88.0,53.4,18.0,27.0,4.0,3.0,34.0,380.0,52.0,14.0,0.0,21.0,53.0,33.0,18.0,9.0,0.0,3.0,0.0,25.0,44.0,3.72,23.0,12.0,1.0,6.0,2.0,2.0,0.17,0.0,1.0,0.0,1.0,0.0,0.0,17.0,11.0,9.0,6.0,2.0,9.0,20.0,45.0,11.0,16.0,2.0,14.0,5.0,9.0,0.0,607.0,12.0,95.0,237.0,279.0,52.0,607.0,10.0,34.0,29.4,344.0,24.0,21.0,16.0,432.0,33.0,21.0,0.0,19.0,26.0,8.0,0.0,0.0,0.0,60.0,6.0,14.0,30.0
-Victor Osimhen,ng NGA,FW,Napoli,24-037,1998,16.0,15.0,1320.0,14.0,3.0,0.0,0.0,2.0,0.0,0.95,0.2,1.16,0.95,1.16,9.5,9.5,0.65,0.65,14.7,26.0,0.0,39.4,1.77,0.21,0.54,0.14,4.5,4.5,136.0,192.0,70.8,1825.0,275.0,82.0,98.0,83.7,34.0,50.0,68.0,6.0,9.0,66.7,17.0,11.0,4.0,0.0,12.0,184.0,8.0,0.0,1.0,2.0,5.0,0.0,0.0,0.0,0.0,2.0,0.0,13.0,36.0,2.45,26.0,0.0,2.0,4.0,4.0,6.0,0.41,4.0,0.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,4.0,0.0,4.0,4.0,1.0,3.0,2.0,14.0,0.0,393.0,15.0,22.0,125.0,252.0,116.0,393.0,7.0,33.0,21.2,233.0,20.0,8.0,14.0,297.0,52.0,25.0,0.0,25.0,20.0,13.0,1.0,1.0,0.0,22.0,31.0,33.0,48.4
-Remi Oudin,fr FRA,"FW,MF",Lecce,26-078,1996,13.0,2.0,292.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,3.2,4.0,0.0,50.0,1.23,0.0,0.0,0.03,-0.2,-0.2,88.0,153.0,57.5,1728.0,582.0,37.0,51.0,72.5,26.0,46.0,56.5,19.0,38.0,50.0,5.0,14.0,0.0,0.0,16.0,142.0,10.0,2.0,0.0,2.0,18.0,6.0,4.0,2.0,0.0,2.0,1.0,7.0,13.0,4.01,8.0,2.0,0.0,3.0,0.0,2.0,0.62,2.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,3.0,5.0,2.0,4.0,8.0,50.0,4.0,6.0,0.0,6.0,9.0,7.0,0.0,208.0,8.0,41.0,100.0,71.0,10.0,208.0,1.0,4.0,25.0,117.0,5.0,5.0,0.0,132.0,5.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,25.0,4.0,6.0,40.0
-Adam Ounas,dz ALG,FW,Napoli,26-085,1996,2.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.23,0.23,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,13.0,17.0,76.5,297.0,80.0,6.0,7.0,85.7,2.0,3.0,66.7,5.0,5.0,100.0,0.0,2.0,1.0,0.0,4.0,16.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,12.0,0.0,0.0,1.0,1.0,0.0,1.0,6.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,19.0,0.0,4.0,12.0,5.0,1.0,19.0,2.0,2.0,100.0,14.0,3.0,2.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Flavio Paoletti,it ITA,MF,Sampdoria,20-019,2003,3.0,0.0,59.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,45.0,84.4,733.0,181.0,15.0,18.0,83.3,18.0,18.0,100.0,5.0,5.0,100.0,1.0,1.0,0.0,0.0,4.0,40.0,4.0,2.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,2.0,3.05,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,4.0,1.0,0.0,50.0,2.0,8.0,30.0,12.0,0.0,50.0,1.0,1.0,100.0,32.0,4.0,3.0,0.0,34.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Leandro Paredes,ar ARG,MF,Juventus,28-220,1994,13.0,4.0,523.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,5.8,1.0,2.0,11.1,0.17,0.0,0.0,0.04,-0.3,-0.3,343.0,378.0,90.7,6373.0,2434.0,146.0,152.0,96.1,144.0,153.0,94.1,48.0,64.0,75.0,7.0,34.0,7.0,2.0,37.0,332.0,45.0,31.0,1.0,1.0,17.0,11.0,6.0,5.0,0.0,3.0,1.0,2.0,17.0,2.93,11.0,4.0,1.0,1.0,0.0,2.0,0.34,2.0,0.0,0.0,0.0,0.0,0.0,14.0,9.0,4.0,9.0,1.0,8.0,13.0,61.5,5.0,4.0,0.0,4.0,9.0,10.0,0.0,427.0,16.0,111.0,240.0,77.0,4.0,427.0,2.0,4.0,50.0,211.0,6.0,3.0,2.0,295.0,3.0,2.0,0.0,10.0,6.0,0.0,0.0,1.0,0.0,33.0,1.0,1.0,50.0
-Fabiano Parisi,it ITA,DF,Empoli,22-087,2000,18.0,18.0,1580.0,2.0,0.0,0.0,0.0,5.0,0.0,0.11,0.0,0.11,0.11,0.11,1.5,1.5,0.08,0.08,17.6,2.0,0.0,15.4,0.11,0.15,1.0,0.11,0.5,0.5,647.0,861.0,75.1,10534.0,5249.0,340.0,378.0,89.9,244.0,327.0,74.6,50.0,103.0,48.5,14.0,45.0,24.0,7.0,74.0,674.0,182.0,23.0,1.0,4.0,30.0,1.0,1.0,0.0,0.0,158.0,5.0,25.0,35.0,1.99,25.0,2.0,1.0,2.0,4.0,4.0,0.23,4.0,0.0,0.0,0.0,0.0,0.0,38.0,21.0,23.0,11.0,4.0,20.0,33.0,60.6,13.0,25.0,9.0,16.0,21.0,54.0,0.0,1111.0,93.0,418.0,461.0,256.0,12.0,1111.0,26.0,57.0,45.6,565.0,50.0,38.0,4.0,569.0,30.0,23.0,0.0,15.0,41.0,0.0,0.0,0.0,0.0,129.0,12.0,7.0,63.2
-Mario Pašalić,hr CRO,"MF,FW",Atalanta,27-360,1995,18.0,12.0,999.0,2.0,2.0,0.0,0.0,2.0,0.0,0.18,0.18,0.36,0.18,0.36,2.5,2.5,0.23,0.23,11.1,4.0,0.0,33.3,0.36,0.17,0.5,0.21,-0.5,-0.5,303.0,375.0,80.8,4786.0,1294.0,158.0,186.0,84.9,107.0,123.0,87.0,26.0,42.0,61.9,10.0,30.0,11.0,1.0,49.0,362.0,12.0,4.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,31.0,2.79,27.0,0.0,1.0,2.0,0.0,5.0,0.45,4.0,0.0,0.0,1.0,0.0,0.0,17.0,6.0,4.0,11.0,2.0,4.0,13.0,30.8,9.0,9.0,1.0,8.0,13.0,7.0,0.0,481.0,10.0,79.0,270.0,135.0,28.0,481.0,3.0,10.0,30.0,292.0,10.0,6.0,1.0,353.0,19.0,17.0,0.0,17.0,12.0,1.0,0.0,0.0,0.0,50.0,24.0,19.0,55.8
-Patric,es ESP,DF,Lazio,29-293,1993,10.0,9.0,753.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,8.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,445.0,510.0,87.3,8841.0,2647.0,156.0,168.0,92.9,188.0,203.0,92.6,81.0,117.0,69.2,0.0,11.0,2.0,0.0,10.0,462.0,47.0,23.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,0.36,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,7.0,2.0,2.0,7.0,9.0,77.8,2.0,11.0,9.0,2.0,5.0,25.0,1.0,577.0,124.0,367.0,209.0,5.0,0.0,577.0,1.0,2.0,50.0,293.0,0.0,0.0,0.0,371.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,52.0,3.0,11.0,21.4
-Rui Patrício,pt POR,GK,Roma,34-354,1988,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,399.0,510.0,78.2,10282.0,6757.0,89.0,89.0,100.0,196.0,199.0,98.5,113.0,220.0,51.4,0.0,3.0,0.0,0.0,0.0,330.0,179.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.1,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,531.0,488.0,530.0,1.0,0.0,0.0,531.0,0.0,0.0,0.0,285.0,0.0,0.0,0.0,215.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,1.0,0.0,100.0
-Pedro,es ESP,FW,Lazio,35-191,1987,18.0,8.0,996.0,2.0,2.0,0.0,0.0,1.0,0.0,0.18,0.18,0.36,0.18,0.36,1.6,1.6,0.14,0.14,11.1,6.0,0.0,31.6,0.54,0.11,0.33,0.08,0.4,0.4,387.0,482.0,80.3,5473.0,1173.0,245.0,270.0,90.7,99.0,134.0,73.9,24.0,47.0,51.1,10.0,22.0,14.0,1.0,30.0,462.0,17.0,8.0,2.0,8.0,19.0,2.0,2.0,0.0,0.0,7.0,3.0,5.0,27.0,2.44,19.0,1.0,2.0,3.0,2.0,5.0,0.45,3.0,0.0,0.0,1.0,1.0,0.0,14.0,9.0,9.0,3.0,2.0,7.0,16.0,43.8,9.0,8.0,1.0,7.0,4.0,3.0,1.0,592.0,5.0,79.0,303.0,215.0,41.0,592.0,14.0,33.0,42.4,396.0,40.0,28.0,13.0,476.0,24.0,21.0,0.0,7.0,18.0,2.0,1.0,0.0,0.0,46.0,0.0,1.0,0.0
-Gianluca Pegolo,it ITA,GK,Sassuolo,41-316,1981,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,64.0,77.0,83.1,1652.0,1058.0,13.0,13.0,100.0,31.0,32.0,96.9,19.0,31.0,61.3,0.0,0.0,0.0,0.0,0.0,56.0,21.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,81.0,71.0,81.0,0.0,0.0,0.0,81.0,0.0,0.0,0.0,46.0,0.0,0.0,0.0,43.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Pietro Pellegri,it ITA,FW,Torino,21-324,2001,11.0,4.0,369.0,1.0,0.0,0.0,0.0,2.0,0.0,0.24,0.0,0.24,0.24,0.24,0.4,0.4,0.1,0.1,4.1,3.0,0.0,50.0,0.73,0.17,0.33,0.07,0.6,0.6,42.0,58.0,72.4,526.0,30.0,28.0,37.0,75.7,11.0,12.0,91.7,1.0,3.0,33.3,4.0,2.0,2.0,0.0,5.0,50.0,8.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,1.21,5.0,0.0,0.0,0.0,0.0,1.0,0.24,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,1.0,2.0,0.0,1.0,0.0,1.0,4.0,1.0,3.0,0.0,2.0,0.0,111.0,1.0,6.0,43.0,62.0,12.0,111.0,1.0,9.0,11.1,68.0,2.0,1.0,1.0,86.0,17.0,15.0,0.0,9.0,13.0,3.0,0.0,0.0,0.0,9.0,8.0,26.0,23.5
-Lorenzo Pellegrini,it ITA,MF,Roma,26-230,1996,17.0,17.0,1434.0,2.0,5.0,2.0,3.0,2.0,0.0,0.13,0.31,0.44,0.0,0.31,4.8,2.5,0.3,0.15,15.9,10.0,2.0,30.3,0.63,0.0,0.0,0.07,-2.8,-2.5,490.0,658.0,74.5,8563.0,2569.0,223.0,257.0,86.8,166.0,205.0,81.0,74.0,146.0,50.7,39.0,41.0,13.0,2.0,64.0,554.0,104.0,42.0,6.0,7.0,81.0,54.0,23.0,31.0,0.0,2.0,0.0,16.0,71.0,4.46,39.0,23.0,2.0,4.0,2.0,8.0,0.5,2.0,5.0,0.0,1.0,0.0,0.0,28.0,15.0,12.0,13.0,3.0,9.0,19.0,47.4,10.0,13.0,2.0,11.0,12.0,9.0,0.0,857.0,13.0,111.0,460.0,295.0,33.0,854.0,17.0,44.0,38.6,463.0,36.0,23.0,3.0,552.0,30.0,16.0,0.0,13.0,31.0,4.0,0.0,0.0,0.0,74.0,6.0,14.0,30.0
-Pepín,gq EQG,MF,Monza,26-174,1996,9.0,6.0,499.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.3,0.3,0.05,0.05,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.3,-0.3,233.0,282.0,82.6,3839.0,1088.0,113.0,128.0,88.3,98.0,110.0,89.1,14.0,24.0,58.3,6.0,24.0,12.0,1.0,36.0,273.0,9.0,7.0,1.0,1.0,8.0,1.0,0.0,1.0,0.0,1.0,0.0,6.0,11.0,1.98,11.0,0.0,0.0,0.0,0.0,1.0,0.18,1.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,2.0,3.0,5.0,2.0,7.0,28.6,5.0,7.0,2.0,5.0,7.0,7.0,0.0,342.0,8.0,60.0,183.0,101.0,7.0,342.0,3.0,10.0,30.0,201.0,9.0,11.0,2.0,247.0,6.0,4.0,0.0,13.0,5.0,0.0,0.0,0.0,0.0,29.0,2.0,2.0,50.0
-Roberto Pereyra,ar ARG,"DF,MF",Udinese,32-028,1991,18.0,18.0,1549.0,2.0,5.0,0.0,0.0,4.0,0.0,0.12,0.29,0.41,0.12,0.41,1.9,1.9,0.11,0.11,17.2,9.0,1.0,36.0,0.52,0.08,0.22,0.08,0.1,0.1,609.0,764.0,79.7,9282.0,3166.0,333.0,363.0,91.7,209.0,267.0,78.3,40.0,64.0,62.5,25.0,53.0,30.0,5.0,96.0,694.0,68.0,21.0,1.0,6.0,45.0,4.0,2.0,1.0,0.0,42.0,2.0,25.0,64.0,3.71,57.0,0.0,2.0,4.0,1.0,8.0,0.46,8.0,0.0,0.0,0.0,0.0,0.0,22.0,17.0,12.0,8.0,2.0,11.0,23.0,47.8,12.0,13.0,2.0,11.0,12.0,13.0,0.0,940.0,29.0,187.0,381.0,390.0,75.0,940.0,17.0,53.0,32.1,575.0,43.0,28.0,11.0,635.0,19.0,17.0,0.0,15.0,25.0,2.0,0.0,0.0,0.0,101.0,2.0,4.0,33.3
-Nehuén Pérez,ar ARG,DF,Udinese,22-225,2000,18.0,18.0,1489.0,1.0,0.0,0.0,0.0,3.0,1.0,0.06,0.0,0.06,0.06,0.06,0.8,0.8,0.05,0.05,16.5,5.0,0.0,45.5,0.3,0.09,0.2,0.07,0.2,0.2,867.0,1020.0,85.0,17011.0,6306.0,321.0,348.0,92.2,409.0,454.0,90.1,118.0,186.0,63.4,7.0,70.0,6.0,3.0,69.0,911.0,108.0,30.0,0.0,30.0,15.0,0.0,0.0,0.0,0.0,74.0,1.0,9.0,21.0,1.27,17.0,2.0,0.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,40.0,20.0,29.0,10.0,1.0,23.0,28.0,82.1,5.0,24.0,12.0,12.0,16.0,64.0,1.0,1208.0,109.0,534.0,558.0,121.0,14.0,1208.0,2.0,5.0,40.0,685.0,16.0,16.0,0.0,776.0,7.0,8.0,0.0,12.0,3.0,0.0,0.0,0.0,0.0,79.0,19.0,9.0,67.9
-Mattia Perin,it ITA,GK,Juventus,30-086,1992,7.0,6.0,588.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,185.0,239.0,77.4,4418.0,2848.0,44.0,45.0,97.8,103.0,103.0,100.0,38.0,91.0,41.8,0.0,6.0,0.0,0.0,1.0,183.0,56.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,246.0,224.0,243.0,3.0,0.0,0.0,246.0,0.0,0.0,0.0,154.0,0.0,0.0,0.0,128.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0
-Matteo Pessina,it ITA,MF,Monza,25-289,1997,18.0,17.0,1444.0,2.0,2.0,1.0,1.0,2.0,0.0,0.12,0.12,0.25,0.06,0.19,2.4,1.6,0.15,0.1,16.0,4.0,0.0,28.6,0.25,0.07,0.25,0.11,-0.4,-0.6,776.0,917.0,84.6,12595.0,3468.0,393.0,436.0,90.1,300.0,327.0,91.7,59.0,85.0,69.4,14.0,77.0,20.0,1.0,100.0,869.0,43.0,22.0,1.0,4.0,26.0,15.0,0.0,12.0,0.0,5.0,5.0,26.0,40.0,2.5,35.0,1.0,0.0,0.0,4.0,5.0,0.31,4.0,0.0,0.0,0.0,1.0,0.0,19.0,11.0,6.0,9.0,4.0,8.0,20.0,40.0,12.0,25.0,2.0,23.0,18.0,14.0,1.0,1086.0,34.0,221.0,585.0,292.0,33.0,1085.0,17.0,28.0,60.7,658.0,46.0,25.0,5.0,786.0,37.0,23.0,0.0,17.0,27.0,1.0,0.0,0.0,0.0,101.0,15.0,18.0,45.5
-Andrea Petagna,it ITA,FW,Monza,27-219,1995,15.0,9.0,770.0,1.0,3.0,1.0,1.0,1.0,0.0,0.12,0.35,0.47,0.0,0.35,2.9,2.1,0.33,0.24,8.6,3.0,0.0,23.1,0.35,0.0,0.0,0.16,-1.9,-2.1,149.0,209.0,71.3,2253.0,349.0,95.0,116.0,81.9,35.0,59.0,59.3,10.0,14.0,71.4,13.0,11.0,2.0,0.0,13.0,185.0,22.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,17.0,1.98,14.0,0.0,0.0,3.0,0.0,3.0,0.35,2.0,0.0,0.0,1.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,2.0,2.0,100.0,0.0,8.0,3.0,5.0,2.0,10.0,0.0,307.0,12.0,28.0,154.0,127.0,44.0,306.0,8.0,16.0,50.0,175.0,9.0,5.0,5.0,235.0,33.0,20.0,0.0,10.0,12.0,4.0,0.0,0.0,0.0,24.0,12.0,12.0,50.0
-Giuseppe Pezzella,it ITA,DF,Lecce,25-067,1997,9.0,7.0,630.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.14,0.14,0.0,0.14,0.1,0.1,0.01,0.01,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,288.0,362.0,79.6,4701.0,1837.0,142.0,157.0,90.4,121.0,152.0,79.6,20.0,37.0,54.1,3.0,28.0,8.0,2.0,48.0,275.0,86.0,9.0,0.0,3.0,20.0,1.0,0.0,1.0,0.0,76.0,1.0,9.0,11.0,1.57,11.0,0.0,0.0,0.0,0.0,2.0,0.29,2.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,13.0,2.0,2.0,8.0,13.0,61.5,5.0,8.0,2.0,6.0,6.0,21.0,1.0,447.0,26.0,162.0,168.0,120.0,5.0,447.0,3.0,13.0,23.1,213.0,14.0,11.0,1.0,217.0,8.0,8.0,0.0,10.0,6.0,1.0,0.0,0.0,0.0,37.0,5.0,4.0,55.6
-Krzysztof Piątek,pl POL,FW,Salernitana,27-218,1995,16.0,12.0,1079.0,3.0,2.0,1.0,1.0,3.0,0.0,0.25,0.17,0.42,0.17,0.33,4.8,4.1,0.4,0.34,12.0,12.0,0.0,40.0,1.0,0.07,0.17,0.14,-1.8,-2.1,210.0,289.0,72.7,2874.0,414.0,127.0,160.0,79.4,58.0,76.0,76.3,11.0,19.0,57.9,10.0,15.0,6.0,0.0,19.0,257.0,29.0,0.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,1.0,3.0,4.0,22.0,1.83,16.0,0.0,1.0,2.0,3.0,4.0,0.33,3.0,0.0,0.0,1.0,0.0,0.0,8.0,5.0,0.0,4.0,4.0,4.0,9.0,44.4,5.0,6.0,1.0,5.0,0.0,18.0,0.0,431.0,19.0,46.0,209.0,180.0,40.0,430.0,3.0,9.0,33.3,228.0,17.0,6.0,8.0,317.0,42.0,20.0,0.0,20.0,23.0,15.0,0.0,0.0,0.0,30.0,42.0,51.0,45.2
-Roberto Piccoli,it ITA,FW,Hellas Verona,22-008,2001,7.0,2.0,192.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.19,0.19,2.1,2.0,0.0,50.0,0.94,0.0,0.0,0.1,-0.4,-0.4,13.0,25.0,52.0,178.0,55.0,8.0,12.0,66.7,3.0,6.0,50.0,1.0,4.0,25.0,1.0,1.0,0.0,0.0,0.0,23.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.47,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,55.0,3.0,8.0,16.0,31.0,11.0,55.0,1.0,3.0,33.3,36.0,2.0,3.0,1.0,41.0,7.0,4.0,0.0,2.0,3.0,4.0,0.0,0.0,0.0,4.0,3.0,13.0,18.8
-Charles Pickel,ch SUI,MF,Cremonese,25-265,1997,18.0,16.0,1350.0,1.0,0.0,0.0,0.0,5.0,0.0,0.07,0.0,0.07,0.07,0.07,1.3,1.3,0.09,0.09,15.0,6.0,0.0,35.3,0.4,0.06,0.17,0.08,-0.3,-0.3,438.0,559.0,78.4,6897.0,2076.0,229.0,279.0,82.1,166.0,191.0,86.9,30.0,51.0,58.8,11.0,56.0,8.0,0.0,74.0,544.0,12.0,5.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,3.0,12.0,29.0,1.94,28.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,13.0,16.0,16.0,4.0,18.0,24.0,75.0,6.0,20.0,3.0,17.0,11.0,14.0,0.0,717.0,26.0,149.0,401.0,171.0,32.0,717.0,0.0,5.0,0.0,340.0,8.0,16.0,1.0,410.0,18.0,13.0,0.0,16.0,9.0,3.0,0.0,0.0,0.0,92.0,29.0,45.0,39.2
-Andrea Pinamonti,it ITA,FW,Sassuolo,23-261,1999,17.0,16.0,1305.0,3.0,0.0,1.0,1.0,2.0,0.0,0.21,0.0,0.21,0.14,0.14,4.1,3.3,0.28,0.23,14.5,11.0,0.0,28.2,0.76,0.05,0.18,0.08,-1.1,-1.3,187.0,295.0,63.4,2253.0,346.0,131.0,174.0,75.3,37.0,71.0,52.1,5.0,13.0,38.5,11.0,9.0,11.0,2.0,19.0,261.0,34.0,0.0,1.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,36.0,2.48,24.0,0.0,1.0,6.0,5.0,2.0,0.14,0.0,0.0,0.0,1.0,1.0,0.0,6.0,4.0,0.0,3.0,3.0,2.0,4.0,50.0,2.0,13.0,1.0,12.0,2.0,5.0,0.0,441.0,5.0,12.0,210.0,224.0,73.0,440.0,8.0,20.0,40.0,213.0,10.0,5.0,6.0,330.0,33.0,34.0,0.0,11.0,17.0,4.0,1.0,0.0,0.0,20.0,21.0,53.0,28.4
-Lorenzo Pirola,it ITA,DF,Salernitana,20-349,2002,9.0,6.0,590.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,6.6,0.0,0.0,0.0,0.0,0.0,0.0,0.12,-0.2,-0.2,206.0,264.0,78.0,3876.0,1179.0,78.0,89.0,87.6,105.0,124.0,84.7,21.0,38.0,55.3,0.0,14.0,1.0,0.0,12.0,246.0,16.0,11.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,2.0,7.0,3.0,0.46,3.0,0.0,0.0,0.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,16.0,12.0,10.0,6.0,0.0,10.0,11.0,90.9,1.0,14.0,11.0,3.0,12.0,30.0,0.0,346.0,48.0,200.0,130.0,16.0,2.0,346.0,0.0,2.0,0.0,143.0,7.0,3.0,0.0,202.0,2.0,0.0,0.0,11.0,2.0,0.0,0.0,0.0,0.0,15.0,10.0,12.0,45.5
-Marko Pjaca,hr CRO,"MF,FW",Empoli,27-274,1995,9.0,5.0,399.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.14,0.14,4.4,2.0,0.0,15.4,0.45,0.0,0.0,0.05,-0.6,-0.6,139.0,175.0,79.4,2216.0,508.0,71.0,86.0,82.6,46.0,58.0,79.3,14.0,20.0,70.0,8.0,13.0,5.0,3.0,9.0,154.0,21.0,4.0,0.0,0.0,15.0,12.0,5.0,4.0,0.0,0.0,0.0,3.0,18.0,4.06,12.0,2.0,1.0,2.0,1.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,4.0,50.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,225.0,1.0,21.0,116.0,88.0,13.0,225.0,7.0,20.0,35.0,119.0,14.0,5.0,7.0,168.0,9.0,14.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,21.0,4.0,6.0,40.0
-Tommaso Pobega,it ITA,MF,Milan,23-204,1999,12.0,6.0,572.0,1.0,0.0,0.0,0.0,2.0,0.0,0.16,0.0,0.16,0.16,0.16,0.8,0.8,0.12,0.12,6.4,3.0,0.0,30.0,0.47,0.1,0.33,0.08,0.2,0.2,169.0,223.0,75.8,2897.0,695.0,78.0,98.0,79.6,71.0,82.0,86.6,17.0,29.0,58.6,4.0,15.0,4.0,1.0,18.0,218.0,5.0,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,18.0,2.83,13.0,0.0,1.0,2.0,1.0,2.0,0.31,2.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,3.0,9.0,2.0,6.0,10.0,60.0,4.0,6.0,2.0,4.0,7.0,8.0,0.0,281.0,9.0,59.0,152.0,70.0,11.0,281.0,2.0,4.0,50.0,111.0,7.0,8.0,0.0,168.0,8.0,3.0,0.0,24.0,4.0,0.0,0.0,0.0,0.0,31.0,9.0,11.0,45.0
-Matteo Politano,it ITA,FW,Napoli,29-185,1993,18.0,10.0,782.0,3.0,3.0,2.0,3.0,1.0,0.0,0.35,0.35,0.69,0.12,0.46,3.7,1.4,0.43,0.16,8.7,3.0,1.0,15.0,0.35,0.05,0.33,0.07,-0.7,-0.4,306.0,424.0,72.2,4753.0,1608.0,177.0,198.0,89.4,91.0,126.0,72.2,25.0,56.0,44.6,27.0,17.0,19.0,3.0,46.0,380.0,41.0,10.0,2.0,6.0,50.0,19.0,13.0,2.0,0.0,12.0,3.0,19.0,55.0,6.32,35.0,7.0,7.0,5.0,1.0,4.0,0.46,3.0,0.0,0.0,1.0,0.0,0.0,14.0,7.0,7.0,3.0,4.0,7.0,14.0,50.0,7.0,3.0,0.0,3.0,5.0,5.0,0.0,530.0,7.0,70.0,173.0,293.0,43.0,527.0,15.0,37.0,40.5,348.0,58.0,28.0,20.0,401.0,22.0,11.0,0.0,9.0,17.0,1.0,0.0,0.0,0.0,46.0,3.0,4.0,42.9
-Marin Pongračić,hr CRO,DF,Lecce,25-146,1997,9.0,9.0,790.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.8,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,296.0,361.0,82.0,6388.0,2314.0,73.0,94.0,77.7,171.0,195.0,87.7,47.0,63.0,74.6,2.0,16.0,2.0,0.0,19.0,324.0,37.0,37.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.68,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,14.0,8.0,7.0,1.0,5.0,6.0,83.3,1.0,4.0,3.0,1.0,16.0,31.0,0.0,435.0,48.0,232.0,201.0,11.0,4.0,435.0,2.0,2.0,100.0,223.0,3.0,1.0,0.0,210.0,5.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,59.0,9.0,10.0,47.4
-Stefan Posch,at AUT,DF,Bologna,25-266,1997,13.0,13.0,1138.0,3.0,1.0,0.0,0.0,1.0,0.0,0.24,0.08,0.32,0.24,0.32,1.3,1.3,0.1,0.1,12.6,6.0,0.0,54.5,0.47,0.27,0.5,0.11,1.7,1.7,553.0,753.0,73.4,9755.0,4488.0,257.0,297.0,86.5,237.0,286.0,82.9,47.0,123.0,38.2,12.0,50.0,14.0,3.0,69.0,624.0,127.0,10.0,3.0,4.0,26.0,0.0,0.0,0.0,0.0,117.0,2.0,24.0,21.0,1.66,19.0,2.0,0.0,0.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,39.0,24.0,21.0,13.0,5.0,21.0,30.0,70.0,9.0,21.0,7.0,14.0,19.0,35.0,0.0,908.0,58.0,358.0,403.0,156.0,13.0,908.0,1.0,8.0,12.5,420.0,18.0,18.0,1.0,527.0,19.0,6.0,0.0,16.0,9.0,1.0,0.0,0.0,0.0,59.0,11.0,9.0,55.0
-Ivan Provedel,it ITA,GK,Lazio,28-324,1994,20.0,19.0,1793.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,580.0,736.0,78.8,15723.0,11191.0,122.0,122.0,100.0,219.0,226.0,96.9,235.0,381.0,61.7,1.0,8.0,0.0,0.0,0.0,558.0,175.0,56.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,779.0,666.0,776.0,3.0,0.0,0.0,779.0,0.0,0.0,0.0,466.0,0.0,0.0,0.0,407.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,34.0,2.0,0.0,100.0
-Ignacio Pussetto,ar ARG,"MF,DF",Sampdoria,27-045,1995,5.0,1.0,152.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.09,0.09,1.7,2.0,0.0,100.0,1.18,0.0,0.0,0.08,-0.2,-0.2,34.0,56.0,60.7,404.0,91.0,25.0,32.0,78.1,7.0,12.0,58.3,0.0,4.0,0.0,2.0,2.0,0.0,0.0,1.0,55.0,1.0,1.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.18,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,3.0,1.0,3.0,4.0,75.0,1.0,4.0,0.0,4.0,0.0,3.0,0.0,81.0,2.0,11.0,23.0,47.0,5.0,81.0,1.0,3.0,33.3,34.0,2.0,1.0,0.0,51.0,7.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,4.0,4.0,5.0,44.4
-Niklas Pyyhtiä,fi FIN,MF,Bologna,19-132,2003,3.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.22,0.22,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,14.0,20.0,70.0,220.0,6.0,8.0,11.0,72.7,5.0,6.0,83.3,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,24.0,0.0,7.0,11.0,6.0,2.0,24.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,20.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0
-Fabio Quagliarella,it ITA,FW,Sampdoria,40-004,1983,14.0,2.0,343.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,1.6,0.4,0.4,3.8,5.0,0.0,27.8,1.31,0.0,0.0,0.09,-1.6,-1.6,72.0,106.0,67.9,1101.0,281.0,34.0,39.0,87.2,23.0,33.0,69.7,6.0,15.0,40.0,2.0,8.0,4.0,0.0,12.0,99.0,7.0,1.0,1.0,3.0,7.0,0.0,0.0,0.0,0.0,2.0,0.0,6.0,10.0,2.6,9.0,0.0,0.0,1.0,0.0,1.0,0.26,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,4.0,0.0,4.0,0.0,3.0,0.0,159.0,3.0,8.0,57.0,95.0,28.0,159.0,1.0,4.0,25.0,104.0,3.0,2.0,1.0,120.0,15.0,2.0,0.0,3.0,8.0,5.0,0.0,0.0,0.0,9.0,5.0,16.0,23.8
-Giacomo Quagliata,it ITA,DF,Cremonese,22-350,2000,13.0,4.0,493.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.09,0.09,5.5,1.0,1.0,11.1,0.18,0.0,0.0,0.05,-0.5,-0.5,153.0,249.0,61.4,2576.0,1123.0,77.0,88.0,87.5,63.0,98.0,64.3,11.0,44.0,25.0,6.0,16.0,8.0,6.0,23.0,191.0,57.0,1.0,0.0,0.0,40.0,4.0,0.0,3.0,0.0,52.0,1.0,13.0,17.0,3.1,10.0,3.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,6.0,0.0,2.0,4.0,6.0,66.7,2.0,5.0,2.0,3.0,8.0,5.0,0.0,313.0,9.0,83.0,104.0,135.0,8.0,313.0,4.0,12.0,33.3,133.0,13.0,13.0,0.0,145.0,9.0,4.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,43.0,2.0,8.0,20.0
-Adrien Rabiot,fr FRA,MF,Juventus,27-307,1995,16.0,15.0,1308.0,3.0,2.0,0.0,0.0,2.0,0.0,0.21,0.14,0.34,0.21,0.34,2.3,2.3,0.16,0.16,14.5,11.0,0.0,55.0,0.76,0.15,0.27,0.11,0.7,0.7,445.0,541.0,82.3,7473.0,2051.0,216.0,245.0,88.2,173.0,205.0,84.4,42.0,55.0,76.4,17.0,48.0,13.0,1.0,72.0,522.0,17.0,7.0,2.0,3.0,16.0,0.0,0.0,0.0,0.0,10.0,2.0,12.0,44.0,3.03,36.0,0.0,1.0,3.0,2.0,4.0,0.28,3.0,0.0,0.0,0.0,1.0,0.0,31.0,15.0,12.0,13.0,6.0,14.0,26.0,53.8,12.0,24.0,4.0,20.0,15.0,10.0,1.0,716.0,24.0,144.0,365.0,219.0,31.0,716.0,12.0,29.0,41.4,388.0,25.0,29.0,2.0,449.0,26.0,17.0,0.0,16.0,21.0,2.0,0.0,0.0,0.0,92.0,18.0,18.0,50.0
-Nemanja Radonjić,rs SRB,"MF,FW",Torino,26-354,1996,18.0,10.0,905.0,2.0,1.0,0.0,0.0,0.0,0.0,0.2,0.1,0.3,0.2,0.3,2.9,2.9,0.29,0.29,10.1,12.0,0.0,34.3,1.19,0.06,0.17,0.08,-0.9,-0.9,180.0,285.0,63.2,2648.0,696.0,113.0,146.0,77.4,41.0,70.0,58.6,17.0,37.0,45.9,11.0,10.0,10.0,4.0,25.0,267.0,17.0,0.0,1.0,4.0,42.0,15.0,7.0,5.0,0.0,2.0,1.0,12.0,28.0,2.79,20.0,3.0,4.0,1.0,0.0,4.0,0.4,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,0.0,2.0,2.0,1.0,0.0,444.0,2.0,21.0,142.0,290.0,57.0,444.0,19.0,67.0,28.4,324.0,51.0,33.0,31.0,357.0,39.0,21.0,0.0,14.0,7.0,9.0,0.0,0.0,0.0,38.0,6.0,9.0,40.0
-Ivan Radovanović,rs SRB,"MF,DF",Salernitana,34-159,1988,10.0,7.0,671.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,7.5,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.2,-0.2,214.0,265.0,80.8,4318.0,1602.0,75.0,84.0,89.3,105.0,115.0,91.3,32.0,57.0,56.1,1.0,19.0,0.0,0.0,16.0,252.0,12.0,12.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,0.27,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,4.0,8.0,4.0,0.0,4.0,10.0,40.0,6.0,9.0,3.0,6.0,7.0,9.0,1.0,323.0,30.0,130.0,182.0,14.0,2.0,323.0,0.0,1.0,0.0,175.0,2.0,1.0,0.0,203.0,6.0,0.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,47.0,8.0,12.0,40.0
-Ionuț Radu,ro ROU,GK,Cremonese,25-252,1997,9.0,9.0,810.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,221.0,336.0,65.8,6117.0,4391.0,51.0,52.0,98.1,100.0,102.0,98.0,69.0,177.0,39.0,2.0,10.0,2.0,0.0,0.0,248.0,84.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,6.0,0.67,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,366.0,305.0,366.0,0.0,0.0,0.0,366.0,0.0,0.0,0.0,205.0,0.0,0.0,0.0,170.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,3.0,1.0,75.0
-Luca Ranieri,it ITA,DF,Fiorentina,23-287,1999,2.0,2.0,175.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,77.0,97.0,79.4,1591.0,456.0,17.0,19.0,89.5,50.0,55.0,90.9,10.0,19.0,52.6,1.0,4.0,0.0,0.0,4.0,96.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,3.0,5.0,60.0,2.0,0.0,0.0,0.0,5.0,7.0,1.0,117.0,12.0,60.0,55.0,2.0,1.0,117.0,1.0,2.0,50.0,71.0,1.0,0.0,0.0,79.0,2.0,0.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,8.0,4.0,10.0,28.6
-Andrea Ranocchia,it ITA,DF,Monza,34-353,1988,1.0,1.0,47.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,19.0,84.2,347.0,109.0,2.0,2.0,100.0,11.0,12.0,91.7,2.0,4.0,50.0,0.0,2.0,0.0,0.0,0.0,15.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,3.0,4.0,75.0,1.0,5.0,5.0,0.0,0.0,7.0,0.0,35.0,13.0,28.0,7.0,0.0,0.0,35.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,33.3
-Filippo Ranocchia,it ITA,MF,Monza,21-266,2001,11.0,5.0,477.0,1.0,0.0,0.0,0.0,1.0,0.0,0.19,0.0,0.19,0.19,0.19,0.8,0.8,0.15,0.15,5.3,5.0,4.0,38.5,0.94,0.08,0.2,0.06,0.2,0.2,167.0,212.0,78.8,3258.0,983.0,71.0,80.0,88.8,68.0,83.0,81.9,26.0,40.0,65.0,6.0,19.0,5.0,1.0,22.0,200.0,12.0,6.0,3.0,8.0,13.0,4.0,0.0,4.0,0.0,2.0,0.0,4.0,13.0,2.45,5.0,4.0,1.0,2.0,1.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,5.0,3.0,2.0,4.0,10.0,40.0,6.0,5.0,1.0,4.0,4.0,5.0,0.0,272.0,12.0,63.0,140.0,74.0,2.0,272.0,7.0,13.0,53.8,176.0,8.0,12.0,0.0,196.0,8.0,8.0,0.0,5.0,10.0,0.0,0.0,0.0,0.0,28.0,1.0,6.0,14.3
-Giacomo Raspadori,it ITA,"FW,MF",Napoli,22-351,2000,14.0,7.0,572.0,1.0,0.0,0.0,0.0,1.0,0.0,0.16,0.0,0.16,0.16,0.16,2.4,2.4,0.38,0.38,6.4,12.0,3.0,48.0,1.89,0.04,0.08,0.1,-1.4,-1.4,224.0,294.0,76.2,3477.0,553.0,115.0,138.0,83.3,76.0,90.0,84.4,16.0,35.0,45.7,8.0,8.0,5.0,0.0,17.0,273.0,21.0,7.0,0.0,6.0,13.0,8.0,4.0,1.0,0.0,1.0,0.0,10.0,23.0,3.63,16.0,2.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,0.0,5.0,3.0,2.0,6.0,33.3,4.0,6.0,0.0,6.0,2.0,2.0,0.0,377.0,2.0,32.0,168.0,178.0,36.0,377.0,3.0,13.0,23.1,237.0,8.0,6.0,4.0,293.0,21.0,9.0,0.0,5.0,5.0,1.0,0.0,0.0,0.0,20.0,1.0,6.0,14.3
-Giacomo Raspadori,it ITA,FW,Sassuolo,22-351,2000,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,12.0,83.3,207.0,33.0,2.0,2.0,100.0,6.0,7.0,85.7,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,9.0,3.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,0.0,7.0,8.0,2.0,15.0,0.0,0.0,0.0,10.0,0.0,1.0,0.0,12.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Ante Rebić,hr CRO,FW,Milan,29-136,1993,12.0,5.0,509.0,3.0,2.0,0.0,0.0,3.0,0.0,0.53,0.35,0.88,0.53,0.88,2.3,2.3,0.4,0.4,5.7,9.0,1.0,50.0,1.59,0.17,0.33,0.13,0.7,0.7,90.0,170.0,52.9,1469.0,452.0,50.0,67.0,74.6,26.0,52.0,50.0,9.0,21.0,42.9,9.0,11.0,5.0,1.0,16.0,161.0,6.0,2.0,4.0,1.0,17.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,21.0,3.71,14.0,0.0,1.0,2.0,3.0,3.0,0.53,3.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,0.0,1.0,4.0,2.0,4.0,50.0,2.0,4.0,0.0,4.0,1.0,4.0,0.0,229.0,3.0,11.0,87.0,135.0,26.0,229.0,7.0,13.0,53.8,140.0,10.0,9.0,3.0,186.0,16.0,10.0,0.0,12.0,8.0,5.0,0.0,0.0,0.0,18.0,7.0,5.0,58.3
-Arkadiusz Reca,pl POL,DF,Spezia,27-232,1995,16.0,14.0,1160.0,1.0,1.0,0.0,0.0,2.0,0.0,0.08,0.08,0.16,0.08,0.16,0.6,0.6,0.04,0.04,12.9,3.0,0.0,33.3,0.23,0.11,0.33,0.06,0.4,0.4,395.0,577.0,68.5,6912.0,3034.0,179.0,233.0,76.8,158.0,210.0,75.2,48.0,97.0,49.5,10.0,29.0,16.0,12.0,37.0,458.0,117.0,2.0,0.0,6.0,38.0,0.0,0.0,0.0,0.0,115.0,2.0,18.0,27.0,2.1,22.0,1.0,1.0,2.0,1.0,2.0,0.16,1.0,0.0,0.0,1.0,0.0,0.0,27.0,15.0,14.0,7.0,6.0,6.0,11.0,54.5,5.0,11.0,3.0,8.0,14.0,33.0,0.0,725.0,57.0,234.0,324.0,174.0,13.0,725.0,5.0,19.0,26.3,348.0,34.0,28.0,3.0,396.0,17.0,7.0,0.0,14.0,5.0,1.0,0.0,0.0,0.0,65.0,7.0,7.0,50.0
-Panagiotis Retsos,gr GRE,DF,Hellas Verona,24-179,1998,2.0,1.0,122.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,44.0,56.0,78.6,781.0,321.0,20.0,23.0,87.0,20.0,24.0,83.3,4.0,7.0,57.1,1.0,3.0,0.0,0.0,2.0,43.0,12.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,1.0,1.0,0.73,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,3.0,3.0,100.0,0.0,4.0,1.0,3.0,2.0,3.0,0.0,76.0,8.0,31.0,38.0,7.0,1.0,76.0,1.0,1.0,100.0,35.0,2.0,0.0,0.0,33.0,0.0,1.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,7.0,3.0,3.0,50.0
-Franck Ribéry,fr FRA,MF,Salernitana,39-303,1983,1.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,22.0,86.4,235.0,19.0,11.0,12.0,91.7,7.0,8.0,87.5,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.43,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,28.0,0.0,3.0,16.0,10.0,0.0,28.0,0.0,3.0,0.0,15.0,1.0,1.0,0.0,24.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Samuele Ricci,it ITA,MF,Torino,21-167,2001,14.0,12.0,1107.0,1.0,1.0,0.0,0.0,4.0,0.0,0.08,0.08,0.16,0.08,0.16,0.7,0.7,0.06,0.06,12.3,4.0,0.0,36.4,0.33,0.09,0.25,0.07,0.3,0.3,560.0,628.0,89.2,9505.0,2194.0,253.0,280.0,90.4,244.0,260.0,93.8,41.0,51.0,80.4,8.0,56.0,7.0,1.0,52.0,600.0,25.0,24.0,2.0,4.0,5.0,0.0,0.0,0.0,0.0,1.0,3.0,5.0,22.0,1.79,17.0,0.0,1.0,2.0,2.0,1.0,0.08,0.0,0.0,0.0,1.0,0.0,0.0,14.0,6.0,6.0,4.0,4.0,10.0,12.0,83.3,2.0,14.0,4.0,10.0,9.0,12.0,0.0,728.0,28.0,131.0,483.0,121.0,4.0,728.0,5.0,12.0,41.7,458.0,19.0,16.0,1.0,516.0,11.0,9.0,0.0,13.0,34.0,0.0,0.0,0.0,0.0,80.0,5.0,5.0,50.0
-Tomás Rincón,ve VEN,MF,Sampdoria,35-022,1988,17.0,16.0,1279.0,0.0,2.0,0.0,0.0,2.0,1.0,0.0,0.14,0.14,0.0,0.14,0.5,0.5,0.04,0.04,14.2,3.0,0.0,33.3,0.21,0.0,0.0,0.06,-0.5,-0.5,501.0,619.0,80.9,8544.0,2454.0,244.0,278.0,87.8,195.0,227.0,85.9,49.0,87.0,56.3,14.0,74.0,15.0,3.0,72.0,594.0,22.0,14.0,1.0,10.0,11.0,1.0,0.0,1.0,0.0,4.0,3.0,4.0,25.0,1.76,23.0,0.0,0.0,0.0,0.0,3.0,0.21,2.0,0.0,0.0,0.0,0.0,1.0,35.0,17.0,12.0,17.0,6.0,18.0,29.0,62.1,11.0,18.0,0.0,18.0,18.0,6.0,0.0,756.0,11.0,113.0,476.0,178.0,13.0,756.0,9.0,19.0,47.4,431.0,16.0,19.0,3.0,500.0,16.0,14.0,0.0,25.0,15.0,0.0,0.0,0.0,0.0,83.0,17.0,8.0,68.0
-Pablo Rodríguez,es ESP,"FW,MF",Lecce,21-184,2001,4.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,21.0,66.7,215.0,66.0,6.0,10.0,60.0,6.0,7.0,85.7,1.0,1.0,100.0,1.0,2.0,0.0,0.0,3.0,18.0,3.0,0.0,0.0,0.0,4.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,32.0,0.0,4.0,18.0,11.0,0.0,32.0,0.0,1.0,0.0,21.0,2.0,2.0,0.0,22.0,1.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0
-Ricardo Rodríguez,ch SUI,DF,Torino,30-163,1992,18.0,13.0,1283.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,14.3,2.0,1.0,33.3,0.14,0.0,0.0,0.04,-0.3,-0.3,692.0,830.0,83.4,12636.0,4167.0,289.0,317.0,91.2,324.0,354.0,91.5,65.0,127.0,51.2,12.0,60.0,10.0,5.0,64.0,783.0,45.0,26.0,0.0,12.0,32.0,9.0,6.0,3.0,0.0,5.0,2.0,11.0,29.0,2.04,25.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,16.0,16.0,9.0,4.0,14.0,17.0,82.4,3.0,18.0,10.0,8.0,20.0,34.0,0.0,959.0,68.0,379.0,463.0,122.0,5.0,959.0,1.0,4.0,25.0,552.0,18.0,23.0,3.0,630.0,5.0,3.0,0.0,16.0,6.0,0.0,0.0,0.0,0.0,86.0,18.0,21.0,46.2
-Rogério,br BRA,DF,Sassuolo,25-022,1998,19.0,18.0,1603.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.11,0.11,0.0,0.11,0.3,0.3,0.01,0.01,17.8,1.0,0.0,16.7,0.06,0.0,0.0,0.04,-0.3,-0.3,894.0,1117.0,80.0,16230.0,6021.0,409.0,440.0,93.0,354.0,429.0,82.5,113.0,192.0,58.9,9.0,63.0,26.0,12.0,94.0,908.0,206.0,29.0,0.0,15.0,55.0,0.0,0.0,0.0,0.0,177.0,3.0,23.0,31.0,1.74,27.0,3.0,0.0,0.0,1.0,3.0,0.17,3.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,13.0,3.0,5.0,9.0,18.0,50.0,9.0,19.0,5.0,14.0,18.0,39.0,0.0,1254.0,49.0,452.0,564.0,252.0,9.0,1254.0,3.0,12.0,25.0,684.0,47.0,33.0,4.0,780.0,13.0,4.0,0.0,12.0,20.0,0.0,0.0,0.0,0.0,86.0,9.0,19.0,32.1
-Alessio Romagnoli,it ITA,DF,Lazio,28-023,1995,19.0,18.0,1644.0,1.0,0.0,0.0,0.0,1.0,0.0,0.05,0.0,0.05,0.05,0.05,0.5,0.5,0.03,0.03,18.3,2.0,0.0,28.6,0.11,0.14,0.5,0.07,0.5,0.5,865.0,965.0,89.6,15013.0,5901.0,397.0,421.0,94.3,363.0,391.0,92.8,84.0,120.0,70.0,2.0,44.0,3.0,0.0,30.0,884.0,81.0,53.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,7.0,0.38,6.0,1.0,0.0,0.0,0.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,0.0,25.0,13.0,15.0,10.0,0.0,9.0,16.0,56.3,7.0,22.0,17.0,5.0,24.0,68.0,0.0,1129.0,183.0,610.0,504.0,17.0,10.0,1129.0,1.0,1.0,100.0,543.0,3.0,2.0,1.0,723.0,3.0,3.0,0.0,17.0,12.0,1.0,0.0,0.0,0.0,73.0,38.0,23.0,62.3
-Luka Romero,ar ARG,FW,Lazio,18-078,2004,5.0,1.0,138.0,1.0,0.0,0.0,0.0,0.0,0.0,0.65,0.0,0.65,0.65,0.65,0.8,0.8,0.53,0.53,1.5,1.0,0.0,25.0,0.65,0.25,1.0,0.2,0.2,0.2,63.0,72.0,87.5,736.0,147.0,50.0,53.0,94.3,9.0,11.0,81.8,1.0,2.0,50.0,2.0,2.0,0.0,0.0,4.0,70.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,3.0,1.96,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,4.0,0.0,4.0,3.0,1.0,0.0,102.0,1.0,13.0,46.0,43.0,5.0,102.0,2.0,9.0,22.2,79.0,4.0,3.0,2.0,81.0,4.0,4.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,9.0,2.0,1.0,66.7
-Marten de Roon,nl NED,MF,Atalanta,31-312,1991,18.0,17.0,1434.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.06,0.06,0.0,0.06,0.4,0.4,0.02,0.02,15.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,675.0,827.0,81.6,12747.0,3745.0,255.0,288.0,88.5,331.0,386.0,85.8,75.0,116.0,64.7,6.0,59.0,6.0,0.0,70.0,791.0,35.0,24.0,0.0,15.0,6.0,0.0,0.0,0.0,0.0,7.0,1.0,10.0,22.0,1.38,20.0,0.0,0.0,0.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,29.0,15.0,14.0,15.0,0.0,16.0,33.0,48.5,17.0,16.0,2.0,14.0,18.0,31.0,0.0,956.0,63.0,300.0,525.0,134.0,6.0,956.0,1.0,3.0,33.3,475.0,5.0,14.0,0.0,561.0,9.0,8.0,0.0,22.0,12.0,0.0,0.0,0.0,0.0,105.0,24.0,16.0,60.0
-Nicolò Rovella,it ITA,MF,Monza,21-062,2001,11.0,10.0,860.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,9.6,1.0,0.0,11.1,0.1,0.0,0.0,0.04,-0.3,-0.3,643.0,727.0,88.4,12172.0,3037.0,264.0,286.0,92.3,285.0,309.0,92.2,86.0,110.0,78.2,14.0,68.0,9.0,2.0,58.0,693.0,31.0,26.0,0.0,14.0,14.0,3.0,0.0,2.0,0.0,2.0,3.0,8.0,30.0,3.14,29.0,1.0,0.0,0.0,0.0,3.0,0.31,3.0,0.0,0.0,0.0,0.0,0.0,21.0,15.0,12.0,8.0,1.0,7.0,14.0,50.0,7.0,13.0,1.0,12.0,20.0,6.0,0.0,820.0,20.0,178.0,506.0,145.0,4.0,820.0,2.0,5.0,40.0,518.0,12.0,24.0,1.0,612.0,10.0,4.0,0.0,13.0,10.0,0.0,0.0,0.0,0.0,66.0,4.0,4.0,50.0
-Nicolò Rovella,it ITA,MF,Juventus,21-062,2001,3.0,0.0,27.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.3,0.3,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,22.0,25.0,88.0,448.0,82.0,7.0,8.0,87.5,11.0,12.0,91.7,3.0,4.0,75.0,0.0,3.0,0.0,0.0,1.0,22.0,3.0,1.0,0.0,2.0,3.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,0.0,4.0,17.0,9.0,0.0,29.0,2.0,2.0,100.0,21.0,1.0,1.0,0.0,24.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Amir Rrahmani,xk KVX,DF,Napoli,28-345,1994,13.0,12.0,1116.0,1.0,0.0,0.0,0.0,1.0,0.0,0.08,0.0,0.08,0.08,0.08,1.2,1.2,0.1,0.1,12.4,1.0,0.0,8.3,0.08,0.08,1.0,0.1,-0.2,-0.2,870.0,961.0,90.5,17424.0,6148.0,281.0,302.0,93.0,451.0,474.0,95.1,123.0,161.0,76.4,5.0,58.0,1.0,0.0,59.0,924.0,37.0,36.0,0.0,17.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,12.0,0.97,10.0,0.0,1.0,1.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,18.0,11.0,13.0,5.0,0.0,8.0,11.0,72.7,3.0,20.0,12.0,8.0,6.0,40.0,1.0,1061.0,122.0,446.0,590.0,29.0,13.0,1061.0,2.0,2.0,100.0,639.0,10.0,3.0,1.0,753.0,3.0,1.0,0.0,7.0,9.0,1.0,0.0,0.0,0.0,74.0,37.0,26.0,58.7
-Ruan,br BRA,DF,Sassuolo,23-242,1999,7.0,5.0,416.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,4.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,161.0,196.0,82.1,3275.0,739.0,46.0,55.0,83.6,95.0,108.0,88.0,18.0,26.0,69.2,0.0,3.0,0.0,0.0,1.0,188.0,8.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.22,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,9.0,10.0,2.0,0.0,7.0,9.0,77.8,2.0,6.0,3.0,3.0,6.0,25.0,1.0,252.0,42.0,164.0,88.0,2.0,2.0,252.0,0.0,1.0,0.0,97.0,2.0,0.0,0.0,133.0,1.0,0.0,0.0,9.0,4.0,0.0,0.0,1.0,0.0,27.0,15.0,13.0,53.6
-Daniele Rugani,it ITA,DF,Juventus,28-190,1994,3.0,3.0,258.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.09,0.09,2.9,1.0,0.0,50.0,0.35,0.0,0.0,0.13,-0.3,-0.3,142.0,164.0,86.6,2985.0,854.0,34.0,38.0,89.5,96.0,103.0,93.2,12.0,23.0,52.2,0.0,7.0,0.0,0.0,5.0,163.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,10.0,0.0,186.0,21.0,105.0,75.0,6.0,2.0,186.0,0.0,0.0,0.0,126.0,2.0,0.0,0.0,139.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,6.0,7.0,2.0,77.8
-Matteo Ruggeri,it ITA,"DF,MF",Atalanta,20-208,2002,9.0,4.0,415.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,4.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,241.0,301.0,80.1,3940.0,1652.0,128.0,147.0,87.1,91.0,111.0,82.0,16.0,28.0,57.1,4.0,18.0,7.0,4.0,24.0,250.0,49.0,4.0,0.0,2.0,18.0,0.0,0.0,0.0,0.0,45.0,2.0,2.0,8.0,1.73,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,4.0,6.0,2.0,7.0,9.0,77.8,2.0,9.0,3.0,6.0,10.0,8.0,0.0,351.0,14.0,113.0,144.0,95.0,6.0,351.0,1.0,3.0,33.3,168.0,9.0,5.0,2.0,203.0,1.0,3.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,24.0,9.0,2.0,81.8
-Mário Rui,pt POR,DF,Napoli,31-253,1991,16.0,15.0,1286.0,0.0,6.0,0.0,0.0,2.0,0.0,0.0,0.42,0.42,0.0,0.42,0.5,0.5,0.03,0.03,14.3,2.0,1.0,25.0,0.14,0.0,0.0,0.06,-0.5,-0.5,1019.0,1247.0,81.7,18621.0,6229.0,493.0,536.0,92.0,383.0,453.0,84.5,131.0,214.0,61.2,39.0,104.0,36.0,12.0,113.0,1021.0,221.0,51.0,1.0,24.0,72.0,26.0,12.0,13.0,0.0,144.0,5.0,15.0,66.0,4.62,47.0,16.0,1.0,0.0,1.0,12.0,0.84,10.0,1.0,0.0,0.0,0.0,1.0,24.0,14.0,13.0,9.0,2.0,15.0,23.0,65.2,8.0,14.0,3.0,11.0,15.0,19.0,1.0,1351.0,32.0,283.0,693.0,384.0,7.0,1351.0,2.0,8.0,25.0,780.0,41.0,44.0,1.0,887.0,6.0,6.0,0.0,13.0,23.0,0.0,0.0,0.0,0.0,107.0,10.0,17.0,37.0
-Abdelhamid Sabiri,ma MAR,"MF,FW",Sampdoria,26-068,1996,13.0,11.0,914.0,1.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,1.1,1.1,0.1,0.1,10.2,8.0,6.0,32.0,0.79,0.04,0.13,0.04,-0.1,-0.1,271.0,404.0,67.1,4896.0,1483.0,122.0,152.0,80.3,103.0,142.0,72.5,36.0,78.0,46.2,14.0,40.0,12.0,0.0,45.0,342.0,60.0,29.0,3.0,7.0,48.0,28.0,7.0,17.0,0.0,2.0,2.0,11.0,35.0,3.44,19.0,6.0,3.0,3.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,5.0,8.0,4.0,4.0,13.0,30.8,9.0,15.0,2.0,13.0,2.0,4.0,0.0,538.0,12.0,53.0,266.0,225.0,26.0,538.0,11.0,36.0,30.6,309.0,5.0,18.0,4.0,367.0,29.0,22.0,0.0,23.0,31.0,0.0,0.0,0.0,0.0,43.0,26.0,18.0,59.1
-Alexis Saelemaekers,be BEL,FW,Milan,23-222,1999,12.0,7.0,563.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.16,0.16,0.0,0.16,0.7,0.7,0.11,0.11,6.3,3.0,0.0,30.0,0.48,0.0,0.0,0.07,-0.7,-0.7,165.0,226.0,73.0,2354.0,667.0,96.0,121.0,79.3,57.0,75.0,76.0,6.0,12.0,50.0,6.0,11.0,13.0,6.0,21.0,221.0,5.0,1.0,1.0,1.0,18.0,0.0,0.0,0.0,0.0,4.0,0.0,6.0,17.0,2.73,14.0,0.0,0.0,2.0,1.0,2.0,0.32,2.0,0.0,0.0,0.0,0.0,0.0,13.0,9.0,6.0,6.0,1.0,6.0,12.0,50.0,6.0,4.0,1.0,3.0,5.0,2.0,0.0,303.0,5.0,34.0,121.0,151.0,21.0,303.0,4.0,17.0,23.5,193.0,22.0,8.0,7.0,231.0,19.0,12.0,0.0,14.0,9.0,0.0,0.0,1.0,0.0,15.0,3.0,1.0,75.0
-Jacopo Sala,it ITA,MF,Spezia,31-061,1991,6.0,1.0,112.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,46.0,78.3,589.0,199.0,20.0,21.0,95.2,13.0,15.0,86.7,3.0,5.0,60.0,1.0,4.0,2.0,0.0,6.0,40.0,6.0,4.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,2.0,1.62,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,2.0,2.0,0.0,2.0,1.0,2.0,0.0,57.0,2.0,14.0,28.0,16.0,2.0,57.0,0.0,3.0,0.0,32.0,2.0,0.0,0.0,34.0,1.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
-Lazar Samardzic,de GER,MF,Udinese,20-345,2002,19.0,6.0,765.0,4.0,1.0,0.0,0.0,0.0,0.0,0.47,0.12,0.59,0.47,0.59,1.8,1.8,0.21,0.21,8.5,11.0,4.0,37.9,1.29,0.14,0.36,0.06,2.2,2.2,321.0,400.0,80.3,6251.0,1942.0,138.0,146.0,94.5,110.0,131.0,84.0,61.0,101.0,60.4,25.0,41.0,11.0,2.0,53.0,346.0,53.0,19.0,1.0,11.0,44.0,32.0,17.0,8.0,0.0,2.0,1.0,6.0,53.0,6.24,29.0,12.0,5.0,5.0,1.0,4.0,0.47,2.0,1.0,0.0,0.0,0.0,1.0,14.0,7.0,3.0,8.0,3.0,6.0,17.0,35.3,11.0,5.0,0.0,5.0,7.0,6.0,0.0,510.0,8.0,62.0,246.0,209.0,27.0,510.0,10.0,30.0,33.3,296.0,20.0,14.0,6.0,324.0,20.0,12.0,0.0,11.0,7.0,0.0,0.0,0.0,0.0,59.0,4.0,13.0,23.5
-Junior Sambia,fr FRA,DF,Salernitana,26-150,1996,9.0,2.0,229.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.5,2.0,2.0,50.0,0.79,0.0,0.0,0.05,-0.2,-0.2,90.0,110.0,81.8,1324.0,535.0,48.0,55.0,87.3,27.0,33.0,81.8,6.0,11.0,54.5,0.0,5.0,4.0,0.0,7.0,88.0,22.0,1.0,0.0,1.0,9.0,4.0,3.0,0.0,0.0,17.0,0.0,1.0,4.0,1.58,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,3.0,4.0,75.0,1.0,2.0,1.0,1.0,2.0,7.0,1.0,139.0,11.0,32.0,58.0,49.0,3.0,139.0,0.0,6.0,0.0,75.0,9.0,8.0,1.0,82.0,1.0,3.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,7.0,2.0,5.0,28.6
-Antonio Sanabria,py PAR,FW,Torino,26-337,1996,15.0,10.0,916.0,4.0,1.0,0.0,0.0,3.0,0.0,0.39,0.1,0.49,0.39,0.49,2.9,2.9,0.29,0.29,10.2,8.0,0.0,36.4,0.79,0.18,0.5,0.13,1.1,1.1,208.0,277.0,75.1,2802.0,383.0,135.0,161.0,83.9,56.0,78.0,71.8,5.0,8.0,62.5,10.0,14.0,7.0,0.0,20.0,253.0,24.0,2.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,8.0,18.0,1.77,14.0,0.0,1.0,1.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,0.0,2.0,3.0,1.0,3.0,33.3,2.0,2.0,1.0,1.0,3.0,3.0,0.0,377.0,6.0,26.0,179.0,178.0,40.0,377.0,4.0,11.0,36.4,190.0,5.0,5.0,1.0,279.0,32.0,10.0,0.0,15.0,12.0,7.0,0.0,0.0,0.0,31.0,33.0,48.0,40.7
-Leandro Sanca,pt POR,"FW,MF",Spezia,23-031,2000,4.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,171.0,27.0,4.0,5.0,80.0,2.0,4.0,50.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,11.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,1.0,6.0,11.0,0.0,17.0,3.0,5.0,60.0,10.0,1.0,1.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
-Alex Sandro,br BRA,DF,Juventus,32-009,1991,16.0,12.0,1050.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.09,0.09,0.0,0.09,0.1,0.1,0.01,0.01,11.7,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,636.0,746.0,85.3,11599.0,3584.0,269.0,293.0,91.8,289.0,320.0,90.3,68.0,101.0,67.3,6.0,52.0,3.0,1.0,61.0,649.0,94.0,12.0,0.0,6.0,11.0,0.0,0.0,0.0,0.0,72.0,3.0,8.0,19.0,1.63,16.0,0.0,1.0,0.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,6.0,8.0,1.0,5.0,9.0,55.6,4.0,14.0,7.0,7.0,12.0,28.0,0.0,848.0,59.0,285.0,447.0,123.0,8.0,848.0,11.0,17.0,64.7,429.0,30.0,22.0,2.0,530.0,14.0,8.0,0.0,15.0,14.0,0.0,1.0,0.0,0.0,75.0,24.0,11.0,68.6
-Nicola Sansone,it ITA,FW,Bologna,31-147,1991,10.0,5.0,421.0,1.0,0.0,0.0,0.0,2.0,0.0,0.21,0.0,0.21,0.21,0.21,1.6,1.6,0.34,0.34,4.7,3.0,1.0,21.4,0.64,0.07,0.33,0.12,-0.6,-0.6,83.0,114.0,72.8,1128.0,230.0,45.0,55.0,81.8,24.0,31.0,77.4,4.0,9.0,44.4,1.0,4.0,2.0,0.0,6.0,102.0,10.0,0.0,0.0,1.0,9.0,5.0,4.0,0.0,0.0,0.0,2.0,4.0,14.0,2.99,8.0,0.0,2.0,1.0,3.0,2.0,0.43,0.0,0.0,0.0,0.0,2.0,0.0,4.0,2.0,3.0,0.0,1.0,3.0,4.0,75.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,173.0,3.0,16.0,74.0,88.0,17.0,173.0,3.0,12.0,25.0,118.0,14.0,11.0,6.0,138.0,16.0,8.0,0.0,7.0,10.0,4.0,2.0,0.0,0.0,14.0,0.0,8.0,0.0
-Riccardo Saponara,it ITA,FW,Fiorentina,31-045,1991,16.0,6.0,657.0,1.0,2.0,0.0,0.0,3.0,0.0,0.14,0.27,0.41,0.14,0.41,0.9,0.9,0.13,0.13,7.3,7.0,0.0,36.8,0.96,0.05,0.14,0.05,0.1,0.1,206.0,274.0,75.2,3018.0,824.0,130.0,149.0,87.2,60.0,81.0,74.1,9.0,20.0,45.0,12.0,17.0,15.0,3.0,31.0,271.0,2.0,0.0,2.0,5.0,17.0,0.0,0.0,0.0,0.0,2.0,1.0,4.0,29.0,3.98,20.0,0.0,3.0,3.0,2.0,3.0,0.41,2.0,0.0,0.0,1.0,0.0,0.0,5.0,2.0,3.0,1.0,1.0,0.0,2.0,0.0,2.0,3.0,1.0,2.0,4.0,5.0,0.0,354.0,9.0,45.0,134.0,179.0,31.0,354.0,10.0,24.0,41.7,250.0,33.0,22.0,10.0,279.0,13.0,13.0,0.0,7.0,11.0,2.0,0.0,0.0,0.0,40.0,3.0,3.0,50.0
-Martin Satriano,uy URU,FW,Empoli,21-349,2001,18.0,15.0,1172.0,1.0,1.0,0.0,0.0,3.0,0.0,0.08,0.08,0.15,0.08,0.15,2.9,2.9,0.22,0.22,13.0,7.0,0.0,25.0,0.54,0.04,0.14,0.1,-1.9,-1.9,186.0,271.0,68.6,2522.0,494.0,102.0,134.0,76.1,59.0,85.0,69.4,8.0,16.0,50.0,9.0,12.0,7.0,1.0,18.0,262.0,8.0,0.0,1.0,1.0,12.0,0.0,0.0,0.0,0.0,6.0,1.0,7.0,21.0,1.61,16.0,0.0,1.0,2.0,2.0,3.0,0.23,2.0,0.0,0.0,1.0,0.0,0.0,9.0,5.0,3.0,5.0,1.0,4.0,7.0,57.1,3.0,4.0,0.0,4.0,1.0,13.0,0.0,420.0,11.0,46.0,190.0,191.0,51.0,420.0,8.0,32.0,25.0,234.0,20.0,16.0,8.0,324.0,34.0,29.0,0.0,11.0,20.0,4.0,0.0,0.0,0.0,38.0,31.0,33.0,48.4
-Giorgio Scalvini,it ITA,"DF,MF",Atalanta,19-055,2003,16.0,13.0,1083.0,2.0,0.0,0.0,0.0,3.0,0.0,0.17,0.0,0.17,0.17,0.17,1.0,1.0,0.08,0.08,12.0,4.0,0.0,40.0,0.33,0.2,0.5,0.1,1.0,1.0,543.0,686.0,79.2,9039.0,4016.0,278.0,316.0,88.0,201.0,234.0,85.9,51.0,102.0,50.0,3.0,62.0,9.0,2.0,78.0,668.0,16.0,14.0,1.0,14.0,6.0,0.0,0.0,0.0,0.0,2.0,2.0,10.0,16.0,1.33,14.0,0.0,2.0,0.0,0.0,3.0,0.25,3.0,0.0,0.0,0.0,0.0,0.0,31.0,17.0,16.0,9.0,6.0,18.0,26.0,69.2,8.0,16.0,5.0,11.0,24.0,25.0,1.0,811.0,55.0,289.0,406.0,124.0,13.0,811.0,7.0,13.0,53.8,428.0,10.0,11.0,2.0,515.0,7.0,1.0,0.0,29.0,1.0,3.0,0.0,0.0,0.0,87.0,21.0,8.0,72.4
-Jerdy Schouten,nl NED,MF,Bologna,26-023,1997,16.0,12.0,1088.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.08,0.08,0.0,0.08,0.1,0.1,0.01,0.01,12.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,462.0,557.0,82.9,7587.0,2281.0,226.0,256.0,88.3,186.0,223.0,83.4,38.0,51.0,74.5,6.0,47.0,3.0,0.0,60.0,554.0,2.0,2.0,2.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,19.0,1.57,19.0,0.0,0.0,0.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,23.0,14.0,12.0,9.0,2.0,8.0,16.0,50.0,8.0,25.0,12.0,13.0,19.0,24.0,1.0,697.0,44.0,197.0,434.0,74.0,3.0,697.0,8.0,20.0,40.0,367.0,5.0,6.0,0.0,426.0,22.0,10.0,0.0,12.0,15.0,1.0,0.0,0.0,1.0,100.0,11.0,12.0,47.8
-Perr Schuurs,nl NED,DF,Torino,23-070,1999,14.0,13.0,1020.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.3,0.3,0.03,0.03,11.3,1.0,1.0,20.0,0.09,0.0,0.0,0.06,-0.3,-0.3,397.0,470.0,84.5,8028.0,2378.0,110.0,126.0,87.3,245.0,268.0,91.4,39.0,61.0,63.9,3.0,13.0,0.0,0.0,21.0,456.0,14.0,12.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,7.0,0.62,5.0,0.0,0.0,0.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,24.0,13.0,13.0,9.0,2.0,7.0,11.0,63.6,4.0,8.0,4.0,4.0,16.0,42.0,0.0,592.0,61.0,296.0,279.0,26.0,5.0,592.0,2.0,4.0,50.0,261.0,5.0,6.0,0.0,297.0,10.0,6.0,0.0,18.0,2.0,0.0,0.0,0.0,0.0,70.0,30.0,26.0,53.6
-Demba Seck,sn SEN,"FW,MF",Torino,21-359,2001,9.0,5.0,358.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,4.0,2.0,0.0,28.6,0.5,0.0,0.0,0.05,-0.3,-0.3,80.0,107.0,74.8,1106.0,198.0,51.0,56.0,91.1,26.0,34.0,76.5,2.0,5.0,40.0,4.0,6.0,2.0,0.0,9.0,103.0,3.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,8.0,2.01,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,2.0,0.0,2.0,2.0,100.0,0.0,3.0,1.0,2.0,1.0,0.0,0.0,156.0,0.0,13.0,72.0,75.0,16.0,156.0,10.0,19.0,52.6,112.0,15.0,11.0,8.0,126.0,17.0,10.0,0.0,4.0,14.0,6.0,0.0,0.0,0.0,17.0,2.0,7.0,22.2
-Jacopo Segre,it ITA,DF,Torino,25-352,1997,1.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,9.0,88.9,103.0,22.0,6.0,7.0,85.7,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,4.0,8.0,0.0,0.0,12.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Vivaldo Semedo,pt POR,FW,Udinese,18-007,2005,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Stefano Sensi,it ITA,MF,Monza,27-183,1995,14.0,12.0,966.0,2.0,0.0,0.0,0.0,5.0,0.0,0.19,0.0,0.19,0.19,0.19,0.7,0.7,0.06,0.06,10.7,6.0,2.0,46.2,0.56,0.15,0.33,0.05,1.3,1.3,683.0,797.0,85.7,12617.0,4325.0,305.0,334.0,91.3,283.0,310.0,91.3,83.0,120.0,69.2,17.0,84.0,12.0,1.0,93.0,731.0,64.0,37.0,2.0,13.0,35.0,26.0,8.0,13.0,0.0,1.0,2.0,8.0,37.0,3.45,21.0,12.0,0.0,1.0,2.0,4.0,0.37,3.0,0.0,0.0,0.0,1.0,0.0,37.0,24.0,22.0,12.0,3.0,17.0,32.0,53.1,15.0,12.0,2.0,10.0,13.0,3.0,0.0,911.0,16.0,185.0,551.0,182.0,4.0,911.0,5.0,19.0,26.3,567.0,17.0,18.0,1.0,687.0,19.0,10.0,0.0,12.0,32.0,0.0,1.0,0.0,0.0,70.0,7.0,5.0,58.3
-Luigi Sepe,it ITA,GK,Salernitana,31-272,1991,15.0,15.0,1350.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,373.0,552.0,67.6,9975.0,7472.0,66.0,66.0,100.0,188.0,189.0,99.5,117.0,291.0,40.2,0.0,6.0,0.0,0.0,0.0,370.0,178.0,44.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,591.0,522.0,591.0,0.0,0.0,0.0,591.0,0.0,0.0,0.0,289.0,0.0,0.0,0.0,226.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,24.0,3.0,0.0,100.0
-Leonardo Sernicola,it ITA,DF,Cremonese,25-189,1997,16.0,14.0,1265.0,1.0,1.0,0.0,0.0,5.0,0.0,0.07,0.07,0.14,0.07,0.14,0.9,0.9,0.07,0.07,14.1,4.0,0.0,23.5,0.28,0.06,0.25,0.06,0.1,0.1,331.0,517.0,64.0,5665.0,2412.0,165.0,200.0,82.5,118.0,197.0,59.9,38.0,86.0,44.2,14.0,30.0,16.0,12.0,39.0,406.0,108.0,3.0,1.0,5.0,71.0,11.0,0.0,10.0,0.0,94.0,3.0,12.0,36.0,2.56,27.0,5.0,0.0,2.0,2.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,0.0,29.0,19.0,16.0,7.0,6.0,15.0,20.0,75.0,5.0,11.0,2.0,9.0,23.0,26.0,0.0,669.0,23.0,171.0,253.0,256.0,18.0,669.0,5.0,21.0,23.8,309.0,35.0,22.0,1.0,331.0,17.0,11.0,0.0,25.0,24.0,3.0,0.0,0.0,0.0,72.0,17.0,11.0,60.7
-Stephan El Shaarawy,it ITA,"DF,MF",Roma,30-100,1992,14.0,3.0,536.0,3.0,0.0,0.0,0.0,1.0,0.0,0.5,0.0,0.5,0.5,0.5,2.7,2.7,0.46,0.46,6.0,8.0,0.0,53.3,1.34,0.2,0.38,0.18,0.3,0.3,254.0,309.0,82.2,4096.0,1074.0,134.0,146.0,91.8,98.0,120.0,81.7,16.0,25.0,64.0,10.0,13.0,8.0,1.0,26.0,260.0,49.0,6.0,2.0,3.0,8.0,1.0,1.0,0.0,0.0,42.0,0.0,9.0,25.0,4.21,17.0,3.0,4.0,1.0,0.0,2.0,0.34,1.0,0.0,1.0,0.0,0.0,0.0,5.0,2.0,2.0,3.0,0.0,0.0,4.0,0.0,4.0,4.0,1.0,3.0,8.0,5.0,0.0,390.0,7.0,67.0,167.0,162.0,27.0,390.0,10.0,31.0,32.3,221.0,22.0,14.0,9.0,243.0,11.0,1.0,0.0,10.0,6.0,3.0,0.0,0.0,0.0,30.0,3.0,6.0,33.3
-Eldor Shomurodov,uz UZB,FW,Roma,27-220,1995,6.0,1.0,119.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.45,0.45,1.3,3.0,0.0,50.0,2.27,0.0,0.0,0.1,-0.6,-0.6,25.0,33.0,75.8,371.0,69.0,15.0,19.0,78.9,9.0,11.0,81.8,1.0,1.0,100.0,0.0,0.0,1.0,0.0,4.0,31.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.51,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,53.0,1.0,4.0,16.0,34.0,11.0,53.0,1.0,4.0,25.0,34.0,3.0,4.0,2.0,43.0,4.0,5.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,2.0,2.0,2.0,50.0
-Marco Silvestri,it ITA,GK,Udinese,31-339,1991,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,452.0,587.0,77.0,12330.0,9122.0,81.0,81.0,100.0,233.0,235.0,99.1,134.0,266.0,50.4,0.0,7.0,0.0,0.0,0.0,391.0,195.0,41.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,0.3,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,5.0,1.0,631.0,558.0,631.0,0.0,0.0,0.0,631.0,0.0,0.0,0.0,313.0,0.0,0.0,0.0,263.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,21.0,3.0,0.0,100.0
-Giovanni Simeone,ar ARG,FW,Napoli,27-214,1995,11.0,0.0,171.0,3.0,0.0,0.0,0.0,1.0,0.0,1.58,0.0,1.58,1.58,1.58,0.6,0.6,0.29,0.29,1.9,4.0,0.0,80.0,2.11,0.6,0.75,0.11,2.4,2.4,38.0,55.0,69.1,553.0,126.0,19.0,26.0,73.1,11.0,17.0,64.7,3.0,3.0,100.0,3.0,3.0,1.0,0.0,6.0,54.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,2.63,5.0,0.0,0.0,0.0,0.0,2.0,1.05,2.0,0.0,0.0,0.0,0.0,0.0,10.0,2.0,3.0,5.0,2.0,2.0,3.0,66.7,1.0,0.0,0.0,0.0,1.0,1.0,0.0,98.0,1.0,9.0,38.0,51.0,12.0,98.0,0.0,4.0,0.0,63.0,6.0,5.0,1.0,76.0,12.0,5.0,0.0,4.0,4.0,1.0,0.0,0.0,0.0,7.0,3.0,10.0,23.1
-Wilfried Singo,ci CIV,DF,Torino,22-041,2000,15.0,10.0,981.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.09,0.09,0.0,0.09,0.9,0.9,0.08,0.08,10.9,2.0,0.0,15.4,0.18,0.0,0.0,0.07,-0.9,-0.9,421.0,567.0,74.3,7256.0,2225.0,191.0,228.0,83.8,185.0,250.0,74.0,35.0,61.0,57.4,9.0,24.0,12.0,4.0,38.0,452.0,109.0,12.0,1.0,3.0,23.0,0.0,0.0,0.0,0.0,97.0,6.0,4.0,17.0,1.56,11.0,0.0,1.0,5.0,0.0,3.0,0.28,2.0,0.0,0.0,1.0,0.0,0.0,13.0,9.0,9.0,2.0,2.0,7.0,8.0,87.5,1.0,8.0,0.0,8.0,6.0,21.0,0.0,676.0,25.0,155.0,309.0,218.0,26.0,676.0,8.0,20.0,40.0,341.0,25.0,15.0,5.0,402.0,14.0,10.0,0.0,19.0,15.0,0.0,0.0,0.0,0.0,54.0,22.0,11.0,66.7
-Leo Skiri Østigård,no NOR,DF,Napoli,23-068,1999,4.0,2.0,220.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,164.0,193.0,85.0,3434.0,1036.0,49.0,58.0,84.5,83.0,92.0,90.2,26.0,33.0,78.8,0.0,14.0,0.0,0.0,9.0,184.0,8.0,7.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,3.0,1.23,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,3.0,10.0,0.0,219.0,12.0,93.0,115.0,11.0,1.0,219.0,0.0,0.0,0.0,139.0,3.0,3.0,0.0,146.0,3.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,7.0,19.0,2.0,90.5
-Łukasz Skorupski,pl POL,GK,Bologna,31-275,1991,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,533.0,689.0,77.4,13982.0,9586.0,97.0,98.0,99.0,242.0,246.0,98.4,168.0,316.0,53.2,0.0,0.0,0.0,0.0,0.0,490.0,196.0,55.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.1,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,738.0,659.0,735.0,3.0,0.0,0.0,738.0,0.0,0.0,0.0,394.0,0.0,0.0,0.0,320.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,24.0,4.0,0.0,100.0
-Milan Škriniar,sk SVK,DF,Inter,27-358,1995,19.0,18.0,1589.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.04,0.04,17.7,2.0,0.0,28.6,0.11,0.0,0.0,0.09,-0.7,-0.7,1103.0,1209.0,91.2,20500.0,6609.0,390.0,419.0,93.1,611.0,638.0,95.8,86.0,122.0,70.5,4.0,61.0,2.0,0.0,70.0,1149.0,58.0,38.0,1.0,11.0,3.0,0.0,0.0,0.0,0.0,18.0,2.0,6.0,7.0,0.4,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,18.0,14.0,11.0,4.0,18.0,31.0,58.1,13.0,17.0,12.0,5.0,11.0,41.0,3.0,1344.0,137.0,667.0,607.0,76.0,10.0,1344.0,2.0,2.0,100.0,858.0,13.0,10.0,0.0,985.0,12.0,2.0,1.0,33.0,13.0,1.0,0.0,0.0,1.0,100.0,16.0,14.0,53.3
-Chris Smalling,eng ENG,DF,Roma,33-074,1989,20.0,19.0,1773.0,3.0,0.0,0.0,0.0,4.0,0.0,0.15,0.0,0.15,0.15,0.15,1.2,1.2,0.06,0.06,19.7,3.0,0.0,27.3,0.15,0.27,1.0,0.11,1.8,1.8,681.0,784.0,86.9,12789.0,4323.0,210.0,229.0,91.7,409.0,447.0,91.5,55.0,89.0,61.8,2.0,21.0,3.0,0.0,27.0,765.0,17.0,16.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,6.0,0.3,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,9.0,7.0,7.0,0.0,3.0,8.0,37.5,5.0,26.0,19.0,7.0,30.0,88.0,0.0,983.0,158.0,585.0,373.0,32.0,18.0,983.0,1.0,2.0,50.0,493.0,4.0,6.0,0.0,591.0,7.0,2.0,0.0,11.0,12.0,0.0,0.0,0.0,0.0,84.0,32.0,16.0,66.7
-Ola Solbakken,no NOR,FW,Roma,24-150,1998,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Brandon Soppy,fr FRA,DF,Udinese,20-348,2002,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.0,1.0,0.0,50.0,1.0,0.0,0.0,0.04,-0.1,-0.1,22.0,32.0,68.8,322.0,140.0,13.0,14.0,92.9,7.0,10.0,70.0,1.0,6.0,16.7,2.0,2.0,1.0,0.0,4.0,29.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,4.0,4.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,1.0,1.0,0.0,48.0,2.0,8.0,19.0,21.0,3.0,48.0,1.0,6.0,16.7,33.0,4.0,4.0,0.0,27.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,1.0,0.0,6.0,1.0,0.0,100.0
-Brandon Soppy,fr FRA,DF,Atalanta,20-348,2002,10.0,7.0,523.0,0.0,3.0,0.0,0.0,2.0,0.0,0.0,0.52,0.52,0.0,0.52,0.2,0.2,0.04,0.04,5.8,1.0,0.0,20.0,0.17,0.0,0.0,0.04,-0.2,-0.2,191.0,247.0,77.3,2816.0,1210.0,106.0,118.0,89.8,70.0,95.0,73.7,9.0,18.0,50.0,8.0,19.0,7.0,2.0,27.0,196.0,51.0,0.0,1.0,0.0,12.0,0.0,0.0,0.0,0.0,51.0,0.0,8.0,17.0,2.91,13.0,0.0,1.0,0.0,3.0,6.0,1.03,5.0,0.0,0.0,0.0,1.0,0.0,6.0,3.0,2.0,4.0,0.0,2.0,5.0,40.0,3.0,8.0,0.0,8.0,2.0,7.0,0.0,321.0,8.0,76.0,146.0,104.0,16.0,321.0,5.0,19.0,26.3,178.0,20.0,10.0,5.0,185.0,13.0,7.0,0.0,14.0,15.0,1.0,1.0,0.0,0.0,43.0,2.0,2.0,50.0
-Roberto Soriano,it ITA,"MF,FW",Bologna,31-361,1991,19.0,10.0,954.0,0.0,3.0,0.0,0.0,1.0,0.0,0.0,0.28,0.28,0.0,0.28,0.4,0.4,0.04,0.04,10.6,1.0,0.0,11.1,0.09,0.0,0.0,0.05,-0.4,-0.4,343.0,433.0,79.2,5015.0,1542.0,211.0,245.0,86.1,103.0,127.0,81.1,19.0,29.0,65.5,17.0,29.0,9.0,2.0,48.0,427.0,6.0,2.0,5.0,2.0,10.0,0.0,0.0,0.0,0.0,4.0,0.0,11.0,36.0,3.4,28.0,1.0,1.0,1.0,4.0,3.0,0.28,2.0,0.0,0.0,1.0,0.0,0.0,24.0,12.0,7.0,11.0,6.0,12.0,14.0,85.7,2.0,19.0,2.0,17.0,5.0,6.0,0.0,532.0,15.0,71.0,285.0,187.0,20.0,532.0,2.0,10.0,20.0,348.0,23.0,27.0,0.0,409.0,17.0,11.0,0.0,14.0,22.0,2.0,0.0,0.0,0.0,56.0,10.0,12.0,45.5
-Joaquin Sosa,uy URU,DF,Bologna,21-025,2002,4.0,1.0,160.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,81.0,100.0,81.0,1827.0,691.0,21.0,25.0,84.0,44.0,47.0,93.6,16.0,26.0,61.5,0.0,4.0,0.0,0.0,1.0,96.0,4.0,4.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,1.0,2.0,50.0,1.0,2.0,1.0,1.0,1.0,8.0,0.0,116.0,12.0,71.0,46.0,0.0,0.0,116.0,0.0,1.0,0.0,77.0,2.0,0.0,0.0,84.0,1.0,0.0,0.0,5.0,3.0,0.0,0.0,1.0,0.0,9.0,1.0,3.0,25.0
-Riccardo Sottil,it ITA,FW,Fiorentina,23-246,1999,7.0,5.0,432.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.42,0.42,0.0,0.42,0.6,0.6,0.12,0.12,4.8,7.0,1.0,58.3,1.46,0.0,0.0,0.05,-0.6,-0.6,127.0,157.0,80.9,2249.0,411.0,56.0,63.0,88.9,57.0,72.0,79.2,13.0,16.0,81.3,10.0,8.0,4.0,1.0,18.0,155.0,2.0,1.0,1.0,1.0,20.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,26.0,5.42,21.0,0.0,1.0,2.0,2.0,2.0,0.42,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,206.0,0.0,8.0,43.0,159.0,25.0,206.0,8.0,26.0,30.8,174.0,35.0,23.0,11.0,178.0,13.0,6.0,0.0,3.0,11.0,3.0,0.0,0.0,0.0,21.0,2.0,2.0,50.0
-Matìas Soulé,ar ARG,"MF,DF",Juventus,19-295,2003,9.0,2.0,238.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,2.6,3.0,0.0,60.0,1.13,0.0,0.0,0.05,-0.3,-0.3,91.0,111.0,82.0,1524.0,306.0,53.0,58.0,91.4,24.0,31.0,77.4,13.0,18.0,72.2,7.0,5.0,2.0,1.0,8.0,99.0,12.0,1.0,0.0,3.0,6.0,2.0,2.0,0.0,0.0,9.0,0.0,3.0,15.0,5.67,8.0,1.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,1.0,2.0,2.0,3.0,66.7,1.0,3.0,0.0,3.0,2.0,1.0,0.0,148.0,1.0,22.0,61.0,66.0,8.0,148.0,6.0,15.0,40.0,94.0,9.0,6.0,3.0,104.0,8.0,4.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,13.0,2.0,8.0,20.0
-Adama Soumaoro,fr FRA,DF,Bologna,30-231,1992,15.0,14.0,1232.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,13.7,1.0,0.0,50.0,0.07,0.0,0.0,0.16,-0.3,-0.3,579.0,633.0,91.5,10868.0,3763.0,206.0,218.0,94.5,324.0,344.0,94.2,43.0,53.0,81.1,1.0,19.0,1.0,0.0,29.0,595.0,32.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,4.0,6.0,0.44,6.0,0.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,6.0,7.0,2.0,2.0,3.0,66.7,1.0,10.0,7.0,3.0,14.0,50.0,1.0,739.0,90.0,396.0,323.0,20.0,7.0,739.0,2.0,2.0,100.0,416.0,6.0,3.0,0.0,479.0,5.0,0.0,1.0,16.0,7.0,0.0,0.0,0.0,0.0,57.0,20.0,10.0,66.7
-Leonardo Spinazzola,it ITA,DF,Roma,29-316,1993,13.0,9.0,807.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.11,0.11,0.0,0.11,0.3,0.3,0.03,0.03,9.0,2.0,0.0,50.0,0.22,0.0,0.0,0.07,-0.3,-0.3,344.0,447.0,77.0,6055.0,2035.0,155.0,175.0,88.6,154.0,193.0,79.8,29.0,57.0,50.9,8.0,14.0,13.0,4.0,28.0,351.0,96.0,7.0,2.0,8.0,22.0,0.0,0.0,0.0,0.0,89.0,0.0,10.0,23.0,2.57,16.0,2.0,2.0,0.0,3.0,2.0,0.22,1.0,0.0,1.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,3.0,5.0,60.0,2.0,10.0,3.0,7.0,4.0,13.0,0.0,536.0,21.0,146.0,240.0,156.0,22.0,536.0,11.0,29.0,37.9,302.0,45.0,22.0,11.0,320.0,15.0,5.0,0.0,7.0,7.0,0.0,0.0,0.0,0.0,47.0,5.0,6.0,45.5
-Marco Sportiello,it ITA,GK,Atalanta,30-270,1992,7.0,6.0,623.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,194.0,242.0,80.2,5332.0,3655.0,32.0,32.0,100.0,107.0,109.0,98.2,55.0,101.0,54.5,0.0,1.0,0.0,0.0,2.0,170.0,72.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,251.0,224.0,246.0,5.0,0.0,0.0,251.0,0.0,0.0,0.0,145.0,0.0,0.0,0.0,103.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,13.0,1.0,0.0,100.0
-Petar Stojanović,si SVN,DF,Empoli,27-120,1995,16.0,13.0,1135.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.2,0.2,0.01,0.01,12.6,1.0,1.0,20.0,0.08,0.0,0.0,0.03,-0.2,-0.2,536.0,692.0,77.5,8721.0,3662.0,296.0,339.0,87.3,184.0,233.0,79.0,49.0,89.0,55.1,10.0,35.0,12.0,5.0,58.0,545.0,146.0,12.0,2.0,15.0,20.0,1.0,0.0,1.0,0.0,133.0,1.0,18.0,26.0,2.06,16.0,5.0,1.0,1.0,2.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,33.0,17.0,20.0,9.0,4.0,22.0,34.0,64.7,12.0,13.0,3.0,10.0,9.0,51.0,0.0,835.0,51.0,298.0,351.0,191.0,5.0,835.0,6.0,21.0,28.6,429.0,26.0,17.0,1.0,457.0,8.0,11.0,0.0,8.0,13.0,0.0,0.0,0.0,0.0,64.0,2.0,6.0,25.0
-Gabriel Strefezza,br BRA,"FW,MF",Lecce,25-292,1997,18.0,16.0,1283.0,6.0,0.0,1.0,1.0,2.0,0.0,0.42,0.0,0.42,0.35,0.35,2.7,1.9,0.19,0.13,14.3,13.0,2.0,41.9,0.91,0.16,0.38,0.06,3.3,3.1,290.0,476.0,60.9,5256.0,1681.0,147.0,189.0,77.8,86.0,138.0,62.3,48.0,104.0,46.2,20.0,29.0,12.0,6.0,44.0,426.0,44.0,14.0,2.0,8.0,70.0,22.0,10.0,8.0,0.0,8.0,6.0,19.0,45.0,3.16,35.0,5.0,4.0,0.0,1.0,3.0,0.21,3.0,0.0,0.0,0.0,0.0,0.0,31.0,15.0,12.0,15.0,4.0,16.0,27.0,59.3,11.0,16.0,2.0,14.0,10.0,12.0,0.0,691.0,8.0,85.0,297.0,324.0,32.0,690.0,19.0,52.0,36.5,447.0,42.0,30.0,13.0,484.0,43.0,31.0,0.0,25.0,39.0,0.0,0.0,0.0,0.0,66.0,10.0,16.0,38.5
-Dávid Strelec,sk SVK,FW,Spezia,21-306,2001,7.0,1.0,169.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.28,0.28,1.9,1.0,0.0,33.3,0.53,0.0,0.0,0.17,-0.5,-0.5,25.0,43.0,58.1,294.0,30.0,19.0,27.0,70.4,5.0,9.0,55.6,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,40.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,2.16,3.0,0.0,0.0,0.0,1.0,2.0,1.08,2.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,60.0,0.0,2.0,29.0,29.0,12.0,60.0,0.0,3.0,0.0,32.0,2.0,3.0,0.0,45.0,3.0,4.0,0.0,4.0,1.0,2.0,0.0,0.0,0.0,1.0,5.0,6.0,45.5
-Isaac Success,ng NGA,FW,Udinese,27-028,1996,20.0,13.0,1188.0,0.0,4.0,0.0,0.0,3.0,0.0,0.0,0.3,0.3,0.0,0.3,1.9,1.9,0.14,0.14,13.2,2.0,0.0,9.5,0.15,0.0,0.0,0.09,-1.9,-1.9,252.0,394.0,64.0,3554.0,685.0,147.0,207.0,71.0,56.0,89.0,62.9,24.0,36.0,66.7,16.0,15.0,10.0,1.0,33.0,380.0,7.0,0.0,6.0,6.0,9.0,0.0,0.0,0.0,0.0,0.0,7.0,14.0,48.0,3.64,33.0,0.0,2.0,1.0,11.0,6.0,0.46,5.0,0.0,0.0,0.0,1.0,0.0,6.0,3.0,1.0,4.0,1.0,2.0,4.0,50.0,2.0,7.0,2.0,5.0,3.0,14.0,0.0,559.0,16.0,33.0,228.0,300.0,65.0,559.0,10.0,33.0,30.3,374.0,19.0,15.0,8.0,498.0,54.0,29.0,0.0,25.0,53.0,8.0,0.0,0.0,0.0,30.0,28.0,32.0,46.7
-Ibrahim Sulemana,gh GHA,MF,Hellas Verona,19-258,2003,10.0,3.0,352.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,3.9,3.0,0.0,37.5,0.77,0.0,0.0,0.04,-0.3,-0.3,71.0,99.0,71.7,1315.0,488.0,30.0,35.0,85.7,30.0,38.0,78.9,9.0,14.0,64.3,3.0,14.0,1.0,1.0,11.0,99.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,9.0,2.29,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,6.0,4.0,1.0,3.0,5.0,60.0,2.0,3.0,2.0,1.0,7.0,8.0,0.0,162.0,13.0,49.0,88.0,31.0,6.0,162.0,3.0,9.0,33.3,78.0,3.0,4.0,0.0,70.0,6.0,5.0,0.0,7.0,2.0,1.0,0.0,0.0,0.0,29.0,6.0,8.0,42.9
-Wojciech Szczęsny,pl POL,GK,Juventus,32-292,1990,14.0,14.0,1212.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,294.0,387.0,76.0,8721.0,6082.0,35.0,35.0,100.0,147.0,148.0,99.3,112.0,201.0,55.7,0.0,3.0,0.0,0.0,0.0,300.0,86.0,24.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,408.0,358.0,406.0,2.0,0.0,0.0,408.0,0.0,0.0,0.0,246.0,0.0,0.0,0.0,214.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,1.0,0.0,100.0
-Benjamin Tahirovic,se SWE,MF,Roma,19-338,2003,5.0,1.0,136.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,65.0,87.7,1078.0,184.0,23.0,25.0,92.0,24.0,27.0,88.9,9.0,10.0,90.0,3.0,3.0,1.0,1.0,1.0,64.0,1.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,2.67,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,3.0,33.3,2.0,4.0,0.0,4.0,2.0,1.0,0.0,80.0,3.0,19.0,48.0,14.0,1.0,80.0,0.0,1.0,0.0,43.0,0.0,1.0,0.0,50.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,9.0,2.0,1.0,66.7
-Adrien Tameze,cm CMR,MF,Hellas Verona,29-000,1994,19.0,17.0,1477.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.04,0.04,16.4,1.0,0.0,14.3,0.06,0.0,0.0,0.1,-0.7,-0.7,366.0,499.0,73.3,6440.0,1987.0,160.0,208.0,76.9,161.0,196.0,82.1,36.0,64.0,56.3,12.0,42.0,8.0,0.0,57.0,473.0,22.0,15.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,2.0,4.0,8.0,25.0,1.53,21.0,1.0,0.0,0.0,2.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,0.0,24.0,12.0,12.0,9.0,3.0,12.0,26.0,46.2,14.0,29.0,11.0,18.0,16.0,30.0,2.0,680.0,53.0,181.0,367.0,140.0,16.0,680.0,10.0,20.0,50.0,313.0,12.0,21.0,3.0,347.0,19.0,19.0,0.0,15.0,15.0,1.0,0.0,0.0,0.0,97.0,16.0,17.0,48.5
-Ciprian Tătărușanu,ro ROU,GK,Milan,36-360,1986,13.0,13.0,1170.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.08,0.08,0.0,0.08,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,361.0,455.0,79.3,10216.0,7117.0,49.0,49.0,100.0,173.0,178.0,97.2,138.0,225.0,61.3,2.0,7.0,0.0,0.0,0.0,383.0,70.0,18.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,0.54,5.0,2.0,0.0,0.0,0.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,476.0,407.0,476.0,0.0,0.0,0.0,476.0,0.0,0.0,0.0,315.0,0.0,0.0,0.0,275.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,17.0,1.0,1.0,50.0
-Filippo Terracciano,it ITA,"DF,MF",Hellas Verona,19-361,2003,12.0,4.0,521.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.8,2.0,0.0,66.7,0.35,0.0,0.0,0.03,-0.1,-0.1,143.0,208.0,68.8,2593.0,922.0,54.0,73.0,74.0,67.0,89.0,75.3,14.0,28.0,50.0,5.0,11.0,6.0,2.0,24.0,181.0,27.0,6.0,0.0,3.0,16.0,2.0,1.0,1.0,0.0,19.0,0.0,7.0,8.0,1.38,5.0,1.0,1.0,1.0,0.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,0.0,10.0,7.0,4.0,4.0,2.0,6.0,9.0,66.7,3.0,4.0,3.0,1.0,6.0,9.0,0.0,268.0,13.0,62.0,130.0,78.0,7.0,268.0,1.0,5.0,20.0,128.0,11.0,8.0,0.0,145.0,11.0,3.0,0.0,4.0,12.0,0.0,0.0,0.0,0.0,27.0,13.0,15.0,46.4
-Pietro Terracciano,it ITA,GK,Fiorentina,32-333,1990,17.0,17.0,1530.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,471.0,618.0,76.2,13360.0,9120.0,85.0,85.0,100.0,202.0,207.0,97.6,182.0,322.0,56.5,0.0,8.0,0.0,0.0,0.0,454.0,163.0,53.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,651.0,501.0,643.0,8.0,0.0,0.0,651.0,1.0,1.0,100.0,334.0,0.0,0.0,0.0,340.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,31.0,5.0,0.0,100.0
-Aleksa Terzić,rs SRB,DF,Fiorentina,23-171,1999,10.0,2.0,322.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.6,1.0,0.0,25.0,0.28,0.0,0.0,0.04,-0.1,-0.1,252.0,304.0,82.9,4728.0,1398.0,96.0,103.0,93.2,120.0,142.0,84.5,28.0,44.0,63.6,11.0,17.0,13.0,11.0,20.0,250.0,53.0,5.0,0.0,0.0,30.0,4.0,0.0,3.0,0.0,44.0,1.0,6.0,19.0,5.29,13.0,4.0,1.0,1.0,0.0,2.0,0.56,0.0,1.0,0.0,1.0,0.0,0.0,7.0,3.0,4.0,2.0,1.0,5.0,8.0,62.5,3.0,7.0,3.0,4.0,4.0,5.0,0.0,346.0,9.0,85.0,150.0,113.0,3.0,346.0,5.0,9.0,55.6,223.0,16.0,13.0,1.0,231.0,9.0,4.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,16.0,2.0,5.0,28.6
-Malick Thiaw,de GER,DF,Milan,21-180,2001,4.0,2.0,123.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.4,1.0,0.0,100.0,0.73,0.0,0.0,0.07,-0.1,-0.1,88.0,104.0,84.6,1880.0,447.0,23.0,27.0,85.2,55.0,59.0,93.2,10.0,17.0,58.8,1.0,8.0,0.0,0.0,7.0,102.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,0.73,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,8.0,0.0,120.0,13.0,63.0,56.0,1.0,1.0,120.0,0.0,0.0,0.0,77.0,0.0,0.0,0.0,83.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,3.0,72.7
-Kristian Thorstvedt,no NOR,MF,Sassuolo,23-328,1999,18.0,11.0,875.0,1.0,1.0,0.0,0.0,3.0,0.0,0.1,0.1,0.21,0.1,0.21,1.6,1.6,0.17,0.17,9.7,6.0,0.0,42.9,0.62,0.07,0.17,0.12,-0.6,-0.6,267.0,350.0,76.3,3893.0,1220.0,152.0,185.0,82.2,88.0,110.0,80.0,13.0,23.0,56.5,7.0,35.0,5.0,1.0,40.0,340.0,10.0,5.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,5.0,0.0,12.0,19.0,1.95,13.0,0.0,1.0,3.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,4.0,6.0,2.0,4.0,9.0,44.4,5.0,11.0,1.0,10.0,10.0,11.0,0.0,446.0,15.0,66.0,260.0,127.0,24.0,446.0,2.0,5.0,40.0,239.0,25.0,11.0,5.0,326.0,14.0,8.0,0.0,14.0,19.0,0.0,0.0,0.0,0.0,40.0,23.0,13.0,63.9
-Jeremy Toljan,de GER,DF,Sassuolo,28-180,1994,19.0,18.0,1679.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.05,0.05,0.0,0.05,0.4,0.4,0.02,0.02,18.7,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.4,-0.4,844.0,1003.0,84.1,13931.0,5087.0,421.0,468.0,90.0,334.0,379.0,88.1,71.0,106.0,67.0,19.0,75.0,18.0,5.0,94.0,807.0,196.0,20.0,2.0,6.0,13.0,0.0,0.0,0.0,0.0,176.0,0.0,22.0,34.0,1.82,33.0,1.0,0.0,0.0,0.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,0.0,24.0,17.0,13.0,10.0,1.0,12.0,16.0,75.0,4.0,19.0,7.0,12.0,13.0,31.0,1.0,1130.0,42.0,402.0,541.0,195.0,16.0,1130.0,4.0,10.0,40.0,586.0,31.0,21.0,2.0,679.0,17.0,6.0,0.0,5.0,8.0,0.0,0.0,1.0,0.0,90.0,4.0,8.0,33.3
-Rafael Tolói,it ITA,DF,Atalanta,32-117,1990,15.0,15.0,1268.0,1.0,1.0,0.0,0.0,3.0,0.0,0.07,0.07,0.14,0.07,0.14,1.7,1.7,0.12,0.12,14.1,4.0,0.0,33.3,0.28,0.08,0.25,0.14,-0.7,-0.7,557.0,722.0,77.1,10676.0,4092.0,230.0,261.0,88.1,254.0,302.0,84.1,69.0,136.0,50.7,14.0,65.0,7.0,2.0,68.0,696.0,23.0,9.0,2.0,7.0,11.0,0.0,0.0,0.0,0.0,13.0,3.0,11.0,27.0,1.92,23.0,0.0,1.0,2.0,0.0,6.0,0.43,5.0,0.0,0.0,1.0,0.0,0.0,28.0,19.0,17.0,11.0,0.0,16.0,27.0,59.3,11.0,16.0,8.0,8.0,36.0,38.0,0.0,883.0,71.0,375.0,396.0,121.0,18.0,883.0,1.0,6.0,16.7,462.0,11.0,21.0,0.0,534.0,10.0,2.0,0.0,8.0,8.0,1.0,0.0,0.0,0.0,110.0,19.0,15.0,55.9
-Fikayo Tomori,eng ENG,DF,Milan,25-047,1997,19.0,18.0,1577.0,1.0,0.0,0.0,0.0,2.0,0.0,0.06,0.0,0.06,0.06,0.06,1.1,1.1,0.06,0.06,17.5,3.0,0.0,50.0,0.17,0.17,0.33,0.19,-0.1,-0.1,910.0,1038.0,87.7,18958.0,5834.0,287.0,309.0,92.9,467.0,504.0,92.7,150.0,198.0,75.8,3.0,49.0,3.0,0.0,64.0,942.0,91.0,31.0,0.0,12.0,3.0,0.0,0.0,0.0,0.0,10.0,5.0,12.0,14.0,0.8,11.0,1.0,0.0,0.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,45.0,22.0,29.0,16.0,0.0,9.0,13.0,69.2,4.0,23.0,12.0,11.0,17.0,45.0,0.0,1202.0,145.0,600.0,573.0,37.0,8.0,1202.0,1.0,4.0,25.0,654.0,17.0,6.0,0.0,735.0,7.0,2.0,0.0,15.0,17.0,0.0,0.0,0.0,0.0,105.0,36.0,21.0,63.2
-Sandro Tonali,it ITA,MF,Milan,22-272,2000,17.0,15.0,1385.0,2.0,4.0,0.0,0.0,6.0,0.0,0.13,0.26,0.39,0.13,0.39,1.8,1.8,0.12,0.12,15.4,10.0,4.0,45.5,0.65,0.09,0.2,0.08,0.2,0.2,474.0,668.0,71.0,8806.0,3053.0,192.0,240.0,80.0,197.0,246.0,80.1,67.0,136.0,49.3,33.0,60.0,18.0,4.0,66.0,573.0,87.0,44.0,5.0,4.0,56.0,30.0,9.0,17.0,0.0,11.0,8.0,13.0,55.0,3.57,32.0,14.0,2.0,5.0,1.0,8.0,0.52,4.0,2.0,1.0,1.0,0.0,0.0,29.0,18.0,16.0,11.0,2.0,13.0,23.0,56.5,10.0,11.0,5.0,6.0,19.0,8.0,1.0,806.0,22.0,166.0,415.0,237.0,17.0,806.0,4.0,10.0,40.0,401.0,34.0,16.0,1.0,474.0,22.0,6.0,0.0,15.0,14.0,3.0,0.0,0.0,0.0,93.0,8.0,11.0,42.1
-William Troost-Ekong,ng NGA,DF,Salernitana,29-156,1993,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,31.0,64.5,445.0,215.0,3.0,4.0,75.0,13.0,16.0,81.3,3.0,9.0,33.3,0.0,1.0,1.0,1.0,2.0,31.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,4.0,0.0,0.0,3.0,3.0,100.0,0.0,2.0,1.0,1.0,2.0,2.0,0.0,41.0,10.0,20.0,21.0,1.0,0.0,41.0,0.0,0.0,0.0,25.0,0.0,0.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
-Frank Tsadjout,it ITA,"FW,MF",Cremonese,23-191,1999,6.0,2.0,191.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.47,0.47,0.0,0.47,0.5,0.5,0.23,0.23,2.1,4.0,0.0,66.7,1.88,0.0,0.0,0.08,-0.5,-0.5,29.0,47.0,61.7,338.0,55.0,20.0,33.0,60.6,8.0,11.0,72.7,0.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,46.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.95,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,2.0,2.0,100.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,79.0,2.0,8.0,33.0,38.0,8.0,79.0,1.0,2.0,50.0,32.0,0.0,1.0,0.0,45.0,7.0,5.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,11.0,10.0,10.0,50.0
-Alessandro Tuia,it ITA,DF,Lecce,32-241,1990,3.0,2.0,199.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.2,1.0,0.0,50.0,0.45,0.0,0.0,0.05,-0.1,-0.1,62.0,87.0,71.3,1388.0,460.0,14.0,18.0,77.8,36.0,42.0,85.7,11.0,26.0,42.3,0.0,6.0,0.0,0.0,8.0,81.0,6.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.81,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,5.0,6.0,0.0,103.0,10.0,53.0,48.0,3.0,2.0,103.0,1.0,3.0,33.3,47.0,1.0,1.0,0.0,57.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,12.0,1.0,5.0,16.7
-Iyenoma Udogie,it ITA,DF,Udinese,20-068,2002,16.0,16.0,1373.0,2.0,2.0,0.0,0.0,4.0,0.0,0.13,0.13,0.26,0.13,0.26,2.0,2.0,0.13,0.13,15.3,4.0,0.0,23.5,0.26,0.12,0.5,0.12,0.0,0.0,481.0,586.0,82.1,6940.0,2428.0,284.0,325.0,87.4,162.0,194.0,83.5,21.0,26.0,80.8,22.0,34.0,21.0,2.0,59.0,493.0,92.0,11.0,1.0,1.0,14.0,2.0,0.0,0.0,0.0,79.0,1.0,19.0,54.0,3.53,38.0,4.0,3.0,2.0,6.0,5.0,0.33,5.0,0.0,0.0,0.0,0.0,0.0,41.0,24.0,27.0,11.0,3.0,19.0,29.0,65.5,10.0,15.0,5.0,10.0,19.0,9.0,0.0,795.0,28.0,169.0,319.0,325.0,53.0,795.0,16.0,60.0,26.7,476.0,58.0,43.0,20.0,480.0,38.0,19.0,0.0,25.0,31.0,3.0,0.0,1.0,0.0,91.0,8.0,10.0,44.4
-Samuel Umtiti,fr FRA,DF,Lecce,29-082,1993,10.0,9.0,763.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,8.5,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.3,-0.3,278.0,333.0,83.5,5399.0,1831.0,101.0,118.0,85.6,127.0,134.0,94.8,43.0,68.0,63.2,1.0,22.0,3.0,1.0,19.0,312.0,20.0,20.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,4.0,0.47,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,5.0,13.0,0.0,6.0,8.0,75.0,2.0,10.0,6.0,4.0,12.0,28.0,0.0,429.0,41.0,207.0,215.0,10.0,3.0,429.0,1.0,3.0,33.3,211.0,7.0,4.0,0.0,214.0,3.0,3.0,0.0,11.0,15.0,0.0,0.0,0.0,0.0,61.0,13.0,14.0,48.1
-Diego Valencia,cl CHI,"MF,FW",Salernitana,23-021,2000,10.0,0.0,175.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.9,1.0,0.0,100.0,0.51,0.0,0.0,0.12,-0.1,-0.1,42.0,58.0,72.4,613.0,159.0,29.0,34.0,85.3,7.0,13.0,53.8,4.0,4.0,100.0,2.0,1.0,1.0,1.0,3.0,52.0,6.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,1.0,1.0,2.0,7.0,28.6,5.0,6.0,0.0,6.0,1.0,2.0,0.0,84.0,3.0,21.0,35.0,30.0,3.0,84.0,0.0,1.0,0.0,43.0,1.0,0.0,0.0,47.0,6.0,3.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,8.0,2.0,3.0,40.0
-Emanuele Valeri,it ITA,"DF,FW",Cremonese,24-059,1998,19.0,17.0,1432.0,1.0,1.0,0.0,0.0,2.0,0.0,0.06,0.06,0.13,0.06,0.13,1.2,1.2,0.07,0.07,15.9,3.0,2.0,13.6,0.19,0.05,0.33,0.05,-0.2,-0.2,337.0,587.0,57.4,6190.0,3027.0,146.0,183.0,79.8,135.0,225.0,60.0,44.0,119.0,37.0,23.0,33.0,29.0,15.0,47.0,428.0,151.0,12.0,2.0,8.0,76.0,11.0,0.0,11.0,0.0,128.0,8.0,26.0,44.0,2.77,27.0,10.0,1.0,0.0,5.0,2.0,0.13,1.0,1.0,0.0,0.0,0.0,0.0,28.0,12.0,16.0,11.0,1.0,14.0,31.0,45.2,17.0,6.0,2.0,4.0,12.0,27.0,0.0,762.0,38.0,194.0,274.0,313.0,35.0,762.0,5.0,30.0,16.7,351.0,57.0,28.0,9.0,365.0,29.0,13.0,0.0,17.0,18.0,2.0,0.0,0.0,0.0,97.0,9.0,15.0,37.5
-Mattia Valoti,it ITA,MF,Monza,29-151,1993,6.0,2.0,232.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,68.0,84.0,81.0,1030.0,273.0,35.0,38.0,92.1,24.0,30.0,80.0,5.0,8.0,62.5,2.0,12.0,0.0,0.0,10.0,82.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,1.55,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,3.0,5.0,1.0,4.0,7.0,57.1,3.0,5.0,1.0,4.0,2.0,3.0,0.0,113.0,2.0,30.0,69.0,16.0,2.0,113.0,1.0,3.0,33.3,54.0,3.0,2.0,0.0,75.0,6.0,0.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,12.0,6.0,3.0,66.7
-Johan Vásquez,mx MEX,DF,Cremonese,24-105,1998,9.0,5.0,538.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,138.0,200.0,69.0,2298.0,867.0,61.0,78.0,78.2,69.0,86.0,80.2,6.0,25.0,24.0,1.0,9.0,0.0,0.0,12.0,174.0,25.0,10.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,14.0,1.0,4.0,4.0,0.67,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,9.0,1.0,0.0,5.0,10.0,50.0,5.0,13.0,10.0,3.0,14.0,28.0,1.0,276.0,53.0,156.0,100.0,23.0,7.0,276.0,3.0,5.0,60.0,108.0,5.0,3.0,0.0,117.0,3.0,2.0,0.0,12.0,8.0,0.0,0.0,0.0,0.0,31.0,8.0,14.0,36.4
-Matías Vecino,uy URU,MF,Lazio,31-164,1991,18.0,9.0,906.0,1.0,0.0,0.0,0.0,2.0,0.0,0.1,0.0,0.1,0.1,0.1,1.9,1.9,0.19,0.19,10.1,3.0,0.0,20.0,0.3,0.07,0.33,0.13,-0.9,-0.9,400.0,477.0,83.9,5932.0,1612.0,228.0,253.0,90.1,133.0,154.0,86.4,25.0,43.0,58.1,3.0,39.0,5.0,0.0,45.0,475.0,1.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,16.0,1.59,15.0,0.0,1.0,0.0,0.0,2.0,0.2,2.0,0.0,0.0,0.0,0.0,0.0,22.0,13.0,6.0,9.0,7.0,12.0,16.0,75.0,4.0,13.0,2.0,11.0,8.0,16.0,0.0,573.0,26.0,137.0,336.0,107.0,15.0,573.0,2.0,4.0,50.0,317.0,14.0,9.0,1.0,422.0,15.0,2.0,0.0,16.0,9.0,2.0,0.0,0.0,0.0,55.0,11.0,14.0,44.0
-Miguel Veloso,pt POR,MF,Hellas Verona,36-269,1986,15.0,10.0,845.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,9.4,2.0,2.0,15.4,0.21,0.0,0.0,0.03,-0.4,-0.4,313.0,436.0,71.8,6308.0,2454.0,119.0,138.0,86.2,135.0,162.0,83.3,53.0,112.0,47.3,12.0,34.0,6.0,3.0,63.0,375.0,59.0,33.0,1.0,3.0,45.0,20.0,12.0,6.0,1.0,4.0,2.0,10.0,26.0,2.77,15.0,7.0,0.0,4.0,0.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,0.0,20.0,4.0,14.0,5.0,1.0,9.0,16.0,56.3,7.0,20.0,5.0,15.0,4.0,9.0,0.0,527.0,26.0,126.0,280.0,130.0,7.0,527.0,3.0,7.0,42.9,217.0,12.0,8.0,1.0,240.0,5.0,3.0,0.0,12.0,7.0,0.0,0.0,0.0,1.0,85.0,7.0,10.0,41.2
-Lorenzo Venuti,it ITA,DF,Fiorentina,27-298,1995,9.0,5.0,556.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.16,0.16,0.0,0.16,0.3,0.3,0.05,0.05,6.2,4.0,0.0,100.0,0.65,0.0,0.0,0.07,-0.3,-0.3,325.0,390.0,83.3,6024.0,1904.0,143.0,150.0,95.3,143.0,163.0,87.7,39.0,67.0,58.2,6.0,27.0,8.0,3.0,33.0,325.0,64.0,9.0,0.0,0.0,21.0,3.0,0.0,2.0,0.0,52.0,1.0,8.0,15.0,2.43,10.0,3.0,1.0,1.0,0.0,2.0,0.32,1.0,1.0,0.0,0.0,0.0,0.0,13.0,5.0,6.0,6.0,1.0,8.0,12.0,66.7,4.0,2.0,2.0,0.0,4.0,13.0,2.0,445.0,20.0,140.0,218.0,90.0,5.0,445.0,1.0,2.0,50.0,248.0,15.0,11.0,0.0,292.0,8.0,0.0,0.0,3.0,6.0,0.0,0.0,0.0,0.0,28.0,8.0,4.0,66.7
-Daniele Verde,it ITA,"FW,MF",Spezia,26-229,1996,10.0,3.0,350.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.17,0.17,3.9,3.0,0.0,27.3,0.77,0.0,0.0,0.06,-0.6,-0.6,89.0,148.0,60.1,1495.0,495.0,44.0,64.0,68.8,37.0,53.0,69.8,8.0,26.0,30.8,6.0,4.0,3.0,0.0,11.0,110.0,37.0,8.0,0.0,1.0,24.0,19.0,9.0,9.0,0.0,5.0,1.0,2.0,16.0,4.11,10.0,5.0,0.0,0.0,0.0,1.0,0.26,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,2.0,2.0,0.0,181.0,5.0,21.0,74.0,88.0,7.0,181.0,2.0,4.0,50.0,97.0,6.0,3.0,1.0,102.0,6.0,4.0,0.0,1.0,5.0,1.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0
-Simone Verdi,it ITA,MF,Hellas Verona,30-207,1992,10.0,5.0,496.0,1.0,0.0,0.0,0.0,1.0,0.0,0.18,0.0,0.18,0.18,0.18,0.8,0.8,0.15,0.15,5.5,3.0,2.0,25.0,0.54,0.08,0.33,0.07,0.2,0.2,127.0,206.0,61.7,2319.0,871.0,67.0,86.0,77.9,34.0,51.0,66.7,20.0,44.0,45.5,9.0,20.0,5.0,2.0,21.0,166.0,37.0,7.0,3.0,7.0,40.0,19.0,10.0,7.0,0.0,4.0,3.0,15.0,20.0,3.65,12.0,5.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,5.0,3.0,2.0,4.0,5.0,80.0,1.0,4.0,0.0,4.0,0.0,1.0,0.0,282.0,1.0,28.0,134.0,127.0,8.0,282.0,9.0,25.0,36.0,159.0,20.0,11.0,1.0,171.0,17.0,18.0,0.0,6.0,9.0,1.0,0.0,0.0,0.0,40.0,3.0,5.0,37.5
-Valerio Verre,it ITA,MF,Sampdoria,29-024,1994,18.0,6.0,677.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.08,0.08,7.5,3.0,0.0,21.4,0.4,0.0,0.0,0.04,-0.6,-0.6,282.0,398.0,70.9,5116.0,1682.0,136.0,161.0,84.5,99.0,135.0,73.3,41.0,74.0,55.4,13.0,30.0,14.0,4.0,45.0,361.0,33.0,16.0,3.0,2.0,33.0,9.0,2.0,6.0,0.0,4.0,4.0,15.0,30.0,3.98,22.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,6.0,5.0,3.0,8.0,14.0,57.1,6.0,9.0,1.0,8.0,9.0,3.0,0.0,493.0,8.0,64.0,285.0,153.0,16.0,493.0,9.0,19.0,47.4,284.0,16.0,13.0,6.0,330.0,22.0,20.0,0.0,14.0,13.0,2.0,0.0,0.0,0.0,61.0,12.0,12.0,50.0
-Guglielmo Vicario,it ITA,GK,Empoli,26-120,1996,20.0,20.0,1800.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,619.0,848.0,73.0,16937.0,11922.0,107.0,108.0,99.1,312.0,319.0,97.8,199.0,419.0,47.5,0.0,16.0,0.0,0.0,0.0,669.0,178.0,71.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,0.25,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,2.0,900.0,745.0,899.0,1.0,0.0,0.0,900.0,0.0,0.0,0.0,556.0,0.0,0.0,0.0,487.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,19.0,6.0,1.0,85.7
-Ronaldo Vieira,gw GNB,MF,Sampdoria,24-200,1998,16.0,8.0,815.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.1,1.0,0.0,16.7,0.11,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Emanuel Vignato,it ITA,"MF,FW",Bologna,22-164,2000,8.0,2.0,242.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.37,0.37,0.0,0.37,0.1,0.1,0.03,0.03,2.7,1.0,0.0,100.0,0.37,0.0,0.0,0.09,-0.1,-0.1,79.0,99.0,79.8,1201.0,338.0,40.0,48.0,83.3,29.0,34.0,85.3,5.0,8.0,62.5,3.0,9.0,2.0,1.0,9.0,97.0,2.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,0.0,1.0,0.0,2.0,5.0,1.86,5.0,0.0,0.0,0.0,0.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,2.0,2.0,0.0,2.0,4.0,50.0,2.0,2.0,0.0,2.0,3.0,0.0,0.0,116.0,0.0,23.0,57.0,37.0,2.0,116.0,1.0,2.0,50.0,76.0,3.0,3.0,0.0,89.0,2.0,4.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,10.0,2.0,2.0,50.0
-Samuele Vignato,it ITA,"FW,MF",Monza,18-345,2004,3.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,13.0,84.6,163.0,15.0,5.0,5.0,100.0,4.0,5.0,80.0,1.0,1.0,100.0,0.0,0.0,1.0,1.0,0.0,13.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,8.0,8.0,3.0,16.0,0.0,1.0,0.0,11.0,1.0,0.0,0.0,14.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Tonny Vilhena,nl NED,MF,Salernitana,28-032,1995,19.0,16.0,1365.0,3.0,1.0,0.0,0.0,3.0,0.0,0.2,0.07,0.26,0.2,0.26,2.2,2.2,0.15,0.15,15.2,7.0,1.0,28.0,0.46,0.12,0.43,0.09,0.8,0.8,390.0,515.0,75.7,6107.0,1883.0,205.0,235.0,87.2,132.0,156.0,84.6,31.0,69.0,44.9,12.0,37.0,8.0,5.0,52.0,466.0,46.0,17.0,0.0,8.0,33.0,21.0,3.0,11.0,0.0,8.0,3.0,14.0,34.0,2.25,22.0,7.0,2.0,0.0,3.0,3.0,0.2,3.0,0.0,0.0,0.0,0.0,0.0,30.0,16.0,8.0,19.0,3.0,12.0,26.0,46.2,14.0,10.0,4.0,6.0,8.0,10.0,0.0,665.0,16.0,108.0,366.0,203.0,18.0,665.0,8.0,25.0,32.0,370.0,21.0,25.0,3.0,425.0,25.0,21.0,0.0,16.0,23.0,1.0,0.0,1.0,0.0,80.0,6.0,16.0,27.3
-Gonzalo Villar,es ESP,MF,Sampdoria,24-318,1998,15.0,8.0,696.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,317.0,381.0,83.2,5395.0,1357.0,136.0,162.0,84.0,145.0,165.0,87.9,27.0,41.0,65.9,0.0,25.0,1.0,0.0,26.0,345.0,35.0,31.0,0.0,0.0,7.0,3.0,1.0,2.0,0.0,0.0,1.0,1.0,9.0,1.17,7.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,7.0,4.0,8.0,1.0,7.0,15.0,46.7,8.0,11.0,3.0,8.0,4.0,9.0,1.0,453.0,19.0,102.0,288.0,65.0,1.0,453.0,2.0,5.0,40.0,246.0,9.0,6.0,0.0,274.0,10.0,4.0,0.0,17.0,18.0,0.0,0.0,1.0,0.0,55.0,9.0,5.0,64.3
-Matías Viña,uy URU,DF,Roma,25-087,1997,3.0,1.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,30.0,73.3,392.0,68.0,8.0,10.0,80.0,11.0,16.0,68.8,2.0,3.0,66.7,1.0,3.0,0.0,0.0,2.0,20.0,10.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,4.0,6.55,3.0,0.0,1.0,0.0,0.0,1.0,1.64,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,2.0,1.0,2.0,3.0,66.7,1.0,5.0,1.0,4.0,2.0,5.0,0.0,50.0,3.0,17.0,19.0,14.0,1.0,50.0,1.0,1.0,100.0,19.0,2.0,1.0,1.0,14.0,3.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
-Dušan Vlahović,rs SRB,FW,Juventus,23-007,2000,11.0,10.0,875.0,6.0,1.0,1.0,1.0,0.0,0.0,0.62,0.1,0.72,0.51,0.62,4.3,3.5,0.44,0.36,9.7,11.0,3.0,36.7,1.13,0.17,0.45,0.12,1.7,1.5,126.0,179.0,70.4,2161.0,413.0,62.0,80.0,77.5,48.0,61.0,78.7,11.0,17.0,64.7,11.0,15.0,8.0,1.0,24.0,167.0,12.0,1.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,24.0,2.47,15.0,0.0,2.0,4.0,3.0,2.0,0.21,1.0,0.0,0.0,0.0,1.0,0.0,6.0,3.0,0.0,2.0,4.0,3.0,3.0,100.0,0.0,6.0,2.0,4.0,1.0,2.0,1.0,281.0,5.0,9.0,129.0,148.0,44.0,280.0,6.0,16.0,37.5,149.0,15.0,13.0,8.0,221.0,27.0,20.0,0.0,10.0,13.0,11.0,1.0,0.0,0.0,27.0,18.0,19.0,48.6
-Nikola Vlašić,hr CRO,"MF,FW",Torino,25-123,1997,20.0,19.0,1729.0,4.0,2.0,0.0,0.0,1.0,0.0,0.21,0.1,0.31,0.21,0.31,3.7,3.7,0.19,0.19,19.2,15.0,1.0,36.6,0.78,0.1,0.27,0.09,0.3,0.3,490.0,623.0,78.7,6897.0,1384.0,282.0,326.0,86.5,152.0,184.0,82.6,24.0,35.0,68.6,39.0,42.0,15.0,4.0,65.0,607.0,13.0,2.0,0.0,6.0,28.0,4.0,1.0,2.0,0.0,1.0,3.0,31.0,75.0,3.9,63.0,2.0,3.0,5.0,1.0,4.0,0.21,3.0,0.0,0.0,0.0,1.0,0.0,18.0,12.0,4.0,10.0,4.0,7.0,13.0,53.8,6.0,15.0,1.0,14.0,3.0,7.0,0.0,819.0,9.0,68.0,336.0,429.0,79.0,819.0,14.0,28.0,50.0,484.0,52.0,34.0,17.0,618.0,65.0,34.0,0.0,17.0,22.0,12.0,0.0,0.0,0.0,77.0,18.0,35.0,34.0
-Joel Voelkerling Persson,se SWE,FW,Lecce,20-020,2003,2.0,0.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,11.0,63.6,68.0,17.0,6.0,8.0,75.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.43,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,14.0,0.0,0.0,7.0,7.0,0.0,14.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,10.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,5.0,44.4
-Mërgim Vojvoda,xk KVX,DF,Torino,28-003,1995,14.0,9.0,868.0,0.0,4.0,0.0,0.0,1.0,0.0,0.0,0.41,0.41,0.0,0.41,0.7,0.7,0.07,0.07,9.6,2.0,0.0,33.3,0.21,0.0,0.0,0.11,-0.7,-0.7,432.0,578.0,74.7,7311.0,3250.0,220.0,255.0,86.3,177.0,228.0,77.6,29.0,67.0,43.3,12.0,45.0,13.0,1.0,73.0,484.0,91.0,6.0,3.0,6.0,27.0,6.0,3.0,0.0,0.0,79.0,3.0,10.0,32.0,3.32,27.0,3.0,2.0,0.0,0.0,7.0,0.73,6.0,0.0,1.0,0.0,0.0,0.0,14.0,8.0,9.0,5.0,0.0,9.0,12.0,75.0,3.0,5.0,0.0,5.0,6.0,16.0,1.0,660.0,19.0,165.0,294.0,206.0,18.0,660.0,5.0,12.0,41.7,352.0,11.0,16.0,2.0,413.0,9.0,10.0,0.0,10.0,4.0,0.0,0.0,0.0,0.0,59.0,5.0,13.0,27.8
-Cristian Volpato,it ITA,MF,Roma,19-081,2003,5.0,2.0,191.0,1.0,1.0,0.0,0.0,0.0,0.0,0.47,0.47,0.94,0.47,0.94,0.4,0.4,0.17,0.17,2.1,1.0,0.0,25.0,0.47,0.25,1.0,0.09,0.6,0.6,67.0,87.0,77.0,1203.0,352.0,30.0,33.0,90.9,25.0,31.0,80.6,11.0,18.0,61.1,4.0,6.0,5.0,2.0,15.0,82.0,5.0,1.0,1.0,0.0,9.0,2.0,1.0,1.0,0.0,1.0,0.0,3.0,6.0,2.83,5.0,1.0,0.0,0.0,0.0,1.0,0.47,1.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,2.0,0.0,0.0,114.0,2.0,8.0,55.0,53.0,10.0,114.0,2.0,6.0,33.3,79.0,7.0,7.0,3.0,88.0,8.0,5.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,16.0,1.0,0.0,100.0
-Aster Vranckx,be BEL,MF,Milan,20-123,2002,7.0,0.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,36.0,58.3,350.0,136.0,10.0,16.0,62.5,7.0,10.0,70.0,3.0,8.0,37.5,1.0,1.0,2.0,1.0,2.0,36.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.15,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,1.0,2.0,50.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,45.0,0.0,11.0,23.0,11.0,1.0,45.0,1.0,2.0,50.0,31.0,2.0,0.0,0.0,32.0,1.0,7.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,60.0
-Stefan de Vrij,nl NED,DF,Inter,30-364,1992,13.0,12.0,1085.0,1.0,0.0,0.0,0.0,1.0,0.0,0.08,0.0,0.08,0.08,0.08,0.7,0.7,0.06,0.06,12.1,2.0,0.0,22.2,0.17,0.11,0.5,0.08,0.3,0.3,551.0,625.0,88.2,9963.0,2901.0,186.0,203.0,91.6,326.0,347.0,93.9,32.0,58.0,55.2,0.0,26.0,0.0,0.0,33.0,613.0,12.0,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,4.0,0.33,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,11.0,4.0,0.0,6.0,7.0,85.7,1.0,6.0,4.0,2.0,26.0,41.0,0.0,740.0,70.0,377.0,350.0,14.0,11.0,740.0,1.0,1.0,100.0,413.0,6.0,0.0,0.0,472.0,2.0,3.0,0.0,7.0,6.0,0.0,0.0,1.0,0.0,55.0,37.0,18.0,67.3
-Walace,br BRA,MF,Udinese,27-306,1995,20.0,20.0,1720.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.04,0.04,19.1,4.0,0.0,19.0,0.21,0.0,0.0,0.04,-0.8,-0.8,811.0,977.0,83.0,14413.0,4723.0,348.0,403.0,86.4,346.0,389.0,88.9,92.0,135.0,68.1,8.0,94.0,5.0,2.0,99.0,937.0,36.0,28.0,0.0,14.0,14.0,0.0,0.0,0.0,0.0,4.0,4.0,16.0,28.0,1.47,23.0,0.0,0.0,3.0,2.0,3.0,0.16,2.0,0.0,0.0,0.0,1.0,0.0,50.0,26.0,24.0,21.0,5.0,21.0,44.0,47.7,23.0,29.0,7.0,22.0,25.0,27.0,0.0,1208.0,60.0,340.0,719.0,159.0,7.0,1208.0,5.0,15.0,33.3,685.0,28.0,21.0,0.0,710.0,25.0,22.0,0.0,23.0,21.0,0.0,0.0,0.0,0.0,178.0,12.0,15.0,44.4
-Sebastian Walukiewicz,pl POL,DF,Empoli,22-305,2000,4.0,1.0,149.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.15,0.15,1.7,1.0,0.0,100.0,0.6,0.0,0.0,0.25,-0.2,-0.2,68.0,78.0,87.2,1481.0,560.0,16.0,17.0,94.1,41.0,44.0,93.2,10.0,14.0,71.4,0.0,3.0,0.0,0.0,3.0,75.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.6,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,0.0,0.0,9.0,0.0,94.0,24.0,62.0,29.0,3.0,2.0,94.0,0.0,0.0,0.0,47.0,0.0,0.0,0.0,64.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0
-Georginio Wijnaldum,nl NED,MF,Roma,32-085,1990,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.63,0.63,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,10.0,11.0,90.9,119.0,37.0,7.0,7.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,7.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,7.0,5.0,1.0,12.0,0.0,0.0,0.0,7.0,2.0,0.0,1.0,12.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Harry Winks,eng ENG,MF,Sampdoria,27-002,1996,3.0,2.0,209.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,114.0,145.0,78.6,2004.0,842.0,50.0,55.0,90.9,46.0,54.0,85.2,14.0,28.0,50.0,2.0,8.0,1.0,0.0,13.0,127.0,18.0,10.0,0.0,0.0,15.0,8.0,6.0,2.0,0.0,0.0,0.0,3.0,5.0,2.15,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,2.0,7.0,1.0,5.0,11.0,45.5,6.0,3.0,3.0,0.0,1.0,1.0,0.0,171.0,8.0,40.0,102.0,30.0,1.0,171.0,2.0,5.0,40.0,74.0,2.0,3.0,0.0,92.0,4.0,2.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,16.0,0.0,1.0,0.0
-Gerard Yepes,es ESP,MF,Sampdoria,20-163,2002,5.0,2.0,198.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.2,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,77.0,105.0,73.3,1205.0,271.0,43.0,55.0,78.2,28.0,34.0,82.4,5.0,10.0,50.0,1.0,5.0,0.0,0.0,7.0,99.0,6.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.36,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,3.0,0.0,1.0,3.0,33.3,2.0,3.0,0.0,3.0,4.0,3.0,0.0,128.0,6.0,20.0,90.0,19.0,2.0,128.0,0.0,1.0,0.0,59.0,3.0,3.0,1.0,72.0,3.0,1.0,0.0,7.0,4.0,0.0,0.0,0.0,0.0,13.0,5.0,2.0,71.4
-Mattia Zaccagni,it ITA,"FW,MF",Lazio,27-233,1995,18.0,18.0,1427.0,8.0,4.0,1.0,1.0,3.0,0.0,0.5,0.25,0.76,0.44,0.69,5.1,4.3,0.32,0.27,15.9,15.0,1.0,44.1,0.95,0.21,0.47,0.13,2.9,2.7,364.0,466.0,78.1,4843.0,1154.0,232.0,262.0,88.5,99.0,130.0,76.2,9.0,23.0,39.1,18.0,20.0,12.0,0.0,40.0,455.0,11.0,2.0,0.0,5.0,31.0,6.0,4.0,1.0,0.0,3.0,0.0,17.0,46.0,2.9,31.0,1.0,4.0,5.0,4.0,7.0,0.44,5.0,1.0,0.0,1.0,0.0,0.0,25.0,16.0,11.0,10.0,4.0,6.0,11.0,54.5,5.0,17.0,3.0,14.0,14.0,6.0,1.0,653.0,9.0,87.0,273.0,304.0,70.0,652.0,18.0,51.0,35.3,458.0,53.0,24.0,20.0,518.0,30.0,18.0,0.0,29.0,58.0,3.0,0.0,1.0,0.0,62.0,6.0,17.0,26.1
-Denis Zakaria,ch SUI,MF,Juventus,26-076,1996,2.0,1.0,123.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,38.0,84.2,469.0,119.0,18.0,20.0,90.0,11.0,12.0,91.7,2.0,2.0,100.0,0.0,2.0,0.0,0.0,3.0,37.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.73,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,4.0,1.0,2.0,2.0,100.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,51.0,2.0,14.0,30.0,9.0,1.0,51.0,0.0,0.0,0.0,27.0,2.0,3.0,0.0,36.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
-Nicola Zalewski,pl POL,DF,Roma,21-012,2002,16.0,11.0,953.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.09,0.09,0.0,0.09,0.7,0.7,0.07,0.07,10.6,3.0,0.0,25.0,0.28,0.0,0.0,0.06,-0.7,-0.7,397.0,521.0,76.2,6784.0,2016.0,188.0,221.0,85.1,152.0,182.0,83.5,45.0,88.0,51.1,5.0,25.0,14.0,4.0,37.0,420.0,98.0,8.0,2.0,1.0,33.0,4.0,2.0,1.0,0.0,86.0,3.0,10.0,25.0,2.36,16.0,4.0,2.0,2.0,0.0,5.0,0.47,4.0,1.0,0.0,0.0,0.0,0.0,22.0,10.0,12.0,7.0,3.0,9.0,21.0,42.9,12.0,15.0,0.0,15.0,13.0,8.0,0.0,639.0,11.0,166.0,285.0,195.0,13.0,639.0,9.0,24.0,37.5,346.0,38.0,28.0,8.0,399.0,16.0,5.0,0.0,7.0,19.0,1.0,0.0,0.0,0.0,63.0,3.0,7.0,30.0
-Andre-Frank Zambo Anguissa,cm CMR,MF,Napoli,27-080,1995,18.0,18.0,1504.0,2.0,4.0,0.0,0.0,2.0,0.0,0.12,0.24,0.36,0.12,0.36,3.0,3.0,0.18,0.18,16.7,8.0,0.0,32.0,0.48,0.08,0.25,0.12,-1.0,-1.0,914.0,1051.0,87.0,13036.0,3248.0,532.0,575.0,92.5,298.0,335.0,89.0,43.0,69.0,62.3,15.0,88.0,14.0,0.0,93.0,1040.0,9.0,8.0,1.0,0.0,9.0,0.0,0.0,0.0,0.0,1.0,2.0,16.0,41.0,2.45,34.0,0.0,0.0,3.0,1.0,6.0,0.36,6.0,0.0,0.0,0.0,0.0,0.0,31.0,18.0,9.0,15.0,7.0,10.0,22.0,45.5,12.0,27.0,1.0,26.0,17.0,16.0,0.0,1266.0,29.0,230.0,711.0,346.0,46.0,1266.0,16.0,41.0,39.0,813.0,24.0,22.0,4.0,985.0,36.0,26.0,0.0,15.0,27.0,2.0,1.0,0.0,0.0,112.0,26.0,14.0,65.0
-Luca Zanimacchia,it ITA,"MF,FW",Cremonese,24-200,1998,15.0,9.0,746.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,1.2,0.14,0.14,8.3,4.0,2.0,21.1,0.48,0.0,0.0,0.06,-1.2,-1.2,213.0,312.0,68.3,3230.0,932.0,122.0,155.0,78.7,68.0,102.0,66.7,18.0,37.0,48.6,13.0,12.0,12.0,2.0,26.0,271.0,40.0,8.0,0.0,1.0,46.0,21.0,9.0,10.0,0.0,2.0,1.0,9.0,34.0,4.11,19.0,6.0,2.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,11.0,6.0,4.0,8.0,21.0,38.1,13.0,9.0,0.0,9.0,9.0,5.0,0.0,416.0,8.0,54.0,156.0,211.0,33.0,416.0,5.0,14.0,35.7,208.0,22.0,20.0,8.0,242.0,20.0,12.0,0.0,9.0,10.0,2.0,1.0,0.0,0.0,48.0,3.0,10.0,23.1
-Nicolò Zaniolo,it ITA,"MF,FW",Roma,23-217,1999,13.0,12.0,890.0,1.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,2.9,2.9,0.29,0.29,9.9,7.0,0.0,25.0,0.71,0.04,0.14,0.1,-1.9,-1.9,125.0,196.0,63.8,2173.0,488.0,63.0,85.0,74.1,46.0,67.0,68.7,15.0,26.0,57.7,8.0,10.0,7.0,1.0,19.0,184.0,11.0,4.0,3.0,6.0,20.0,5.0,4.0,1.0,0.0,1.0,1.0,12.0,27.0,2.73,19.0,0.0,1.0,4.0,3.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,2.0,5.0,1.0,3.0,7.0,42.9,4.0,11.0,0.0,11.0,2.0,0.0,0.0,345.0,1.0,36.0,154.0,165.0,45.0,345.0,9.0,46.0,19.6,245.0,33.0,27.0,9.0,267.0,39.0,35.0,0.0,22.0,32.0,4.0,0.0,0.0,0.0,39.0,5.0,8.0,38.5
-Alessandro Zanoli,it ITA,"DF,MF",Sampdoria,22-124,2000,4.0,0.0,116.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,56.0,78.0,71.8,1013.0,333.0,23.0,24.0,95.8,26.0,31.0,83.9,7.0,14.0,50.0,2.0,1.0,3.0,2.0,2.0,67.0,11.0,2.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,9.0,0.0,5.0,4.0,3.1,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,85.0,4.0,29.0,32.0,25.0,2.0,85.0,2.0,3.0,66.7,40.0,3.0,1.0,1.0,59.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,1.0,50.0
-Alessandro Zanoli,it ITA,DF,Napoli,22-124,2000,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.47,0.47,0.1,1.0,0.0,100.0,7.5,0.0,0.0,0.06,-0.1,-0.1,9.0,11.0,81.8,125.0,20.0,4.0,5.0,80.0,5.0,5.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,7.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,14.0,0.0,5.0,6.0,3.0,1.0,14.0,0.0,0.0,0.0,7.0,1.0,1.0,1.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Duván Zapata,co COL,FW,Atalanta,31-309,1991,13.0,8.0,643.0,1.0,1.0,0.0,0.0,1.0,0.0,0.14,0.14,0.28,0.14,0.28,2.0,2.0,0.28,0.28,7.1,5.0,0.0,29.4,0.7,0.06,0.2,0.12,-1.0,-1.0,133.0,201.0,66.2,2047.0,417.0,72.0,102.0,70.6,46.0,64.0,71.9,11.0,19.0,57.9,7.0,9.0,8.0,1.0,19.0,190.0,9.0,1.0,0.0,4.0,11.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,19.0,2.66,15.0,0.0,2.0,0.0,1.0,3.0,0.42,2.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,0.0,9.0,0.0,263.0,9.0,14.0,127.0,127.0,36.0,263.0,9.0,16.0,56.3,172.0,16.0,6.0,11.0,227.0,16.0,20.0,0.0,7.0,16.0,4.0,1.0,0.0,0.0,16.0,22.0,20.0,52.4
-Davide Zappacosta,it ITA,"DF,MF",Atalanta,30-238,1992,5.0,3.0,226.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.4,0.4,0.0,0.4,0.3,0.3,0.1,0.1,2.5,1.0,0.0,33.3,0.4,0.0,0.0,0.09,-0.3,-0.3,96.0,126.0,76.2,1356.0,513.0,58.0,66.0,87.9,30.0,43.0,69.8,5.0,7.0,71.4,2.0,5.0,0.0,0.0,8.0,98.0,28.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,27.0,0.0,4.0,4.0,1.59,2.0,0.0,1.0,1.0,0.0,2.0,0.8,1.0,0.0,0.0,1.0,0.0,0.0,7.0,3.0,3.0,3.0,1.0,2.0,3.0,66.7,1.0,3.0,0.0,3.0,2.0,3.0,0.0,167.0,8.0,42.0,68.0,61.0,11.0,167.0,2.0,12.0,16.7,101.0,10.0,7.0,4.0,98.0,7.0,2.0,0.0,5.0,2.0,1.0,0.0,0.0,0.0,18.0,0.0,2.0,0.0
-Alessio Zerbin,it ITA,FW,Napoli,23-338,1999,4.0,0.0,55.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,0.07,0.6,1.0,0.0,100.0,1.64,0.0,0.0,0.04,0.0,0.0,10.0,17.0,58.8,120.0,21.0,6.0,8.0,75.0,2.0,4.0,50.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,1.0,1.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,29.0,4.0,8.0,15.0,6.0,2.0,29.0,1.0,1.0,100.0,22.0,0.0,0.0,0.0,23.0,2.0,3.0,0.0,4.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Piotr Zieliński,pl POL,MF,Napoli,28-260,1994,20.0,15.0,1253.0,3.0,6.0,0.0,0.0,0.0,0.0,0.22,0.43,0.65,0.22,0.65,2.4,2.4,0.17,0.17,13.9,13.0,3.0,38.2,0.93,0.09,0.23,0.07,0.6,0.6,664.0,803.0,82.7,9667.0,2752.0,390.0,424.0,92.0,182.0,222.0,82.0,52.0,87.0,59.8,42.0,63.0,21.0,4.0,66.0,726.0,74.0,17.0,0.0,5.0,56.0,41.0,19.0,14.0,0.0,1.0,3.0,16.0,69.0,4.95,42.0,18.0,2.0,3.0,4.0,8.0,0.57,5.0,2.0,0.0,1.0,0.0,0.0,10.0,6.0,1.0,7.0,2.0,6.0,11.0,54.5,5.0,8.0,3.0,5.0,12.0,4.0,0.0,930.0,13.0,120.0,440.0,381.0,33.0,930.0,10.0,34.0,29.4,566.0,36.0,39.0,7.0,718.0,15.0,9.0,0.0,6.0,16.0,2.0,0.0,0.0,0.0,59.0,2.0,7.0,22.2
-David Zima,cz CZE,DF,Torino,22-088,2000,9.0,4.0,406.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.17,0.17,4.5,2.0,0.0,50.0,0.44,0.0,0.0,0.2,-0.8,-0.8,154.0,197.0,78.2,2708.0,743.0,60.0,77.0,77.9,73.0,86.0,84.9,12.0,20.0,60.0,2.0,6.0,3.0,0.0,12.0,194.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,0.89,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,5.0,4.0,0.0,3.0,3.0,100.0,0.0,7.0,2.0,5.0,9.0,11.0,2.0,245.0,20.0,114.0,121.0,12.0,5.0,245.0,1.0,1.0,100.0,111.0,3.0,2.0,0.0,129.0,1.0,2.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,24.0,15.0,9.0,62.5
-Joshua Zirkzee,nl NED,FW,Bologna,21-258,2001,8.0,3.0,374.0,1.0,1.0,0.0,0.0,1.0,0.0,0.24,0.24,0.48,0.24,0.48,1.7,1.7,0.4,0.4,4.2,3.0,0.0,21.4,0.72,0.07,0.33,0.12,-0.7,-0.7,85.0,111.0,76.6,996.0,152.0,58.0,70.0,82.9,18.0,25.0,72.0,2.0,2.0,100.0,7.0,5.0,2.0,0.0,5.0,102.0,9.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,19.0,4.58,12.0,0.0,4.0,3.0,0.0,3.0,0.72,3.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,1.0,3.0,33.3,2.0,1.0,1.0,0.0,2.0,1.0,0.0,167.0,3.0,9.0,71.0,88.0,18.0,167.0,7.0,14.0,50.0,93.0,4.0,6.0,2.0,134.0,17.0,11.0,0.0,2.0,3.0,1.0,0.0,0.0,0.0,7.0,7.0,11.0,38.9
-Jeroen Zoet,nl NED,GK,Spezia,32-029,1991,3.0,2.0,154.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,65.0,52.3,1150.0,997.0,8.0,8.0,100.0,11.0,12.0,91.7,15.0,45.0,33.3,0.0,3.0,0.0,0.0,0.0,54.0,11.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.58,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,68.0,59.0,67.0,1.0,0.0,0.0,68.0,0.0,0.0,0.0,47.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Nadir Zortea,it ITA,"DF,MF",Atalanta,23-230,1999,9.0,1.0,222.0,1.0,0.0,0.0,0.0,1.0,0.0,0.41,0.0,0.41,0.41,0.41,0.1,0.1,0.05,0.05,2.5,3.0,0.0,75.0,1.22,0.25,0.33,0.03,0.9,0.9,60.0,98.0,61.2,937.0,602.0,31.0,38.0,81.6,22.0,35.0,62.9,5.0,13.0,38.5,3.0,3.0,3.0,1.0,9.0,83.0,15.0,0.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,15.0,0.0,6.0,8.0,3.27,5.0,0.0,2.0,1.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,3.0,7.0,0.0,3.0,4.0,75.0,1.0,4.0,0.0,4.0,0.0,4.0,0.0,153.0,7.0,45.0,50.0,60.0,7.0,153.0,10.0,21.0,47.6,78.0,11.0,7.0,2.0,82.0,6.0,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,1.0,83.3
-Petar Zovko,ba BIH,GK,Spezia,20-316,2002,1.0,0.0,74.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,36.0,61.1,683.0,458.0,4.0,4.0,100.0,9.0,9.0,100.0,9.0,23.0,39.1,0.0,1.0,0.0,0.0,0.0,21.0,15.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,29.0,36.0,2.0,0.0,0.0,38.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Szymon Żurkowski,pl POL,MF,Fiorentina,25-132,1997,2.0,0.0,32.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.81,2.81,0.0,2.81,0.1,0.1,0.33,0.33,0.4,1.0,0.0,50.0,2.81,0.0,0.0,0.06,-0.1,-0.1,17.0,19.0,89.5,298.0,21.0,6.0,7.0,85.7,7.0,7.0,100.0,2.0,2.0,100.0,1.0,1.0,1.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,5.63,2.0,0.0,0.0,0.0,0.0,1.0,2.81,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,1.0,8.0,16.0,3.0,25.0,0.0,1.0,0.0,16.0,3.0,1.0,1.0,18.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Szymon Żurkowski,pl POL,MF,Spezia,25-132,1997,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,24.0,3.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,8.0,2.0,2.0,3.0,3.0,0.0,8.0,1.0,2.0,50.0,3.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Milan Đurić,ba BIH,FW,Hellas Verona,32-258,1990,16.0,7.0,703.0,1.0,0.0,0.0,0.0,3.0,0.0,0.13,0.0,0.13,0.13,0.13,0.5,0.5,0.07,0.07,7.8,2.0,0.0,25.0,0.26,0.13,0.5,0.07,0.5,0.5,154.0,288.0,53.5,1800.0,425.0,106.0,185.0,57.3,32.0,67.0,47.8,3.0,5.0,60.0,12.0,14.0,3.0,0.0,18.0,287.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,22.0,2.81,18.0,0.0,0.0,2.0,2.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,100.0,0.0,5.0,3.0,2.0,0.0,11.0,0.0,354.0,15.0,28.0,172.0,154.0,34.0,354.0,1.0,4.0,25.0,144.0,1.0,2.0,2.0,307.0,19.0,4.0,0.0,15.0,14.0,3.0,0.0,0.0,0.0,16.0,113.0,28.0,80.1
-Filip Đuričić,rs SRB,"MF,FW",Sampdoria,31-005,1992,19.0,16.0,1259.0,2.0,0.0,0.0,0.0,6.0,0.0,0.14,0.0,0.14,0.14,0.14,1.3,1.3,0.1,0.1,14.0,6.0,0.0,37.5,0.43,0.13,0.33,0.08,0.7,0.7,335.0,440.0,76.1,5501.0,1363.0,177.0,209.0,84.7,115.0,139.0,82.7,32.0,50.0,64.0,26.0,33.0,16.0,4.0,49.0,410.0,29.0,10.0,1.0,3.0,23.0,8.0,0.0,7.0,0.0,7.0,1.0,22.0,49.0,3.51,32.0,7.0,2.0,2.0,5.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,27.0,13.0,12.0,12.0,3.0,6.0,13.0,46.2,7.0,10.0,2.0,8.0,5.0,1.0,0.0,593.0,10.0,78.0,276.0,247.0,20.0,593.0,15.0,44.0,34.1,353.0,23.0,26.0,3.0,413.0,38.0,31.0,0.0,21.0,33.0,0.0,0.0,0.0,0.0,69.0,7.0,12.0,36.8
+player,nationality,position,team,age,birth_year,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,minutes_90s,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
+Oliver Abildgaard,dk DEN,MF,Hellas Verona,26-245,1996,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,31.0,9.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,2.0,1.0,0.0,5.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Tammy Abraham,eng ENG,FW,Roma,25-131,1997,21.0,17.0,1500.0,6.0,3.0,0.0,0.0,1.0,0.0,0.36,0.18,0.54,0.36,0.54,8.7,8.7,0.52,0.52,16.7,19.0,0.0,43.2,1.14,0.14,0.32,0.2,-2.7,-2.7,224.0,329.0,68.1,3174.0,780.0,133.0,168.0,79.2,64.0,105.0,61.0,15.0,22.0,68.2,24.0,10.0,9.0,1.0,32.0,301.0,25.0,1.0,1.0,1.0,5.0,0.0,0.0,0.0,0.0,1.0,3.0,5.0,51.0,3.05,34.0,0.0,10.0,4.0,9.0,0.54,4.0,0.0,3.0,1.0,0.0,13.0,7.0,3.0,6.0,4.0,8.0,4.0,4.0,2.0,6.0,0.0,510.0,11.0,32.0,265.0,222.0,81.0,510.0,274.0,24.0,17.0,10.0,396.0,36.0,21.0,0.0,21.0,32.0,9.0,1.0,0.0,0.0,31.0,39.0,39.0,50.0
+Francesco Acerbi,it ITA,DF,Inter,35-000,1988,14.0,12.0,1110.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.3,0.3,0.02,0.02,12.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.3,-0.3,636.0,725.0,87.7,12004.0,3837.0,232.0,252.0,92.1,317.0,352.0,90.1,74.0,100.0,74.0,6.0,38.0,3.0,0.0,44.0,685.0,39.0,26.0,0.0,9.0,3.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,12.0,0.97,10.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,7.0,14.0,2.0,0.0,7.0,4.0,3.0,12.0,41.0,0.0,827.0,101.0,374.0,423.0,35.0,6.0,827.0,451.0,13.0,11.0,1.0,544.0,7.0,3.0,0.0,9.0,9.0,1.0,0.0,0.0,0.0,61.0,34.0,20.0,63.0
+"Yacine Adli,fr FRA,""MF,FW"",Milan,22-196,2000,4.0,1.0,116.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.3,2.0,0.0,100.0,1.55,0.0,0.0,0.04,-0.1,-0.1,38.0,60.0,63.3,666.0,216.0,19.0,24.0,79.2,12.0,18.0,66.7,5.0,11.0,45.5,1.0,4.0,2.0,0.0,8.0,58.0,2.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,0.78,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,4.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,78.0,1.0,11.0,38.0,32.0,1.0,78.0,44.0,5.0,4.0,0.0,58.0,2.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0"
+"Michel Aebischer,ch SUI,""FW,MF"",Bologna,26-035,1997,18.0,8.0,775.0,1.0,0.0,0.0,0.0,3.0,0.0,0.12,0.0,0.12,0.12,0.12,1.1,1.1,0.13,0.13,8.6,2.0,1.0,20.0,0.23,0.1,0.5,0.11,-0.1,-0.1,280.0,342.0,81.9,4277.0,1290.0,155.0,173.0,89.6,98.0,114.0,86.0,20.0,33.0,60.6,8.0,19.0,1.0,0.0,22.0,326.0,13.0,5.0,0.0,2.0,9.0,2.0,0.0,2.0,0.0,5.0,3.0,9.0,19.0,2.21,13.0,2.0,2.0,1.0,2.0,0.23,0.0,0.0,1.0,1.0,0.0,4.0,1.0,2.0,0.0,2.0,11.0,2.0,9.0,3.0,6.0,0.0,406.0,9.0,82.0,195.0,130.0,16.0,406.0,238.0,7.0,6.0,2.0,308.0,15.0,10.0,0.0,10.0,14.0,5.0,1.0,1.0,0.0,43.0,5.0,9.0,35.7"
+"Felix Afena-Gyan,gh GHA,""FW,MF"",Cremonese,20-022,2003,12.0,2.0,359.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,1.2,0.29,0.29,4.0,1.0,0.0,10.0,0.25,0.0,0.0,0.12,-1.2,-1.2,71.0,90.0,78.9,937.0,106.0,49.0,55.0,89.1,16.0,20.0,80.0,3.0,5.0,60.0,1.0,3.0,0.0,0.0,6.0,87.0,3.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,7.0,1.75,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,1.0,0.0,1.0,0.0,3.0,0.0,137.0,5.0,19.0,44.0,76.0,17.0,137.0,89.0,14.0,5.0,2.0,99.0,16.0,8.0,0.0,8.0,4.0,4.0,0.0,0.0,0.0,17.0,8.0,16.0,33.3"
+"Kevin Agudelo,co COL,""MF,FW"",Spezia,24-088,1998,20.0,15.0,1365.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.07,0.07,15.2,5.0,0.0,27.8,0.33,0.0,0.0,0.06,-1.0,-1.0,299.0,424.0,70.5,4480.0,1593.0,173.0,218.0,79.4,93.0,122.0,76.2,18.0,33.0,54.5,14.0,37.0,14.0,1.0,63.0,405.0,14.0,2.0,2.0,1.0,21.0,5.0,3.0,2.0,0.0,4.0,5.0,17.0,29.0,1.91,20.0,1.0,3.0,2.0,2.0,0.13,1.0,0.0,0.0,1.0,0.0,47.0,22.0,14.0,20.0,13.0,28.0,4.0,24.0,7.0,2.0,0.0,645.0,7.0,96.0,305.0,263.0,30.0,645.0,367.0,45.0,36.0,11.0,389.0,41.0,38.0,0.0,26.0,27.0,2.0,0.0,0.0,0.0,88.0,9.0,20.0,31.0"
+Ola Aina,ng NGA,DF,Torino,26-125,1996,12.0,8.0,676.0,1.0,1.0,0.0,0.0,4.0,0.0,0.13,0.13,0.27,0.13,0.27,0.7,0.7,0.1,0.1,7.5,3.0,0.0,42.9,0.4,0.14,0.33,0.11,0.3,0.3,311.0,418.0,74.4,5198.0,2091.0,163.0,176.0,92.6,99.0,133.0,74.4,39.0,73.0,53.4,9.0,23.0,12.0,8.0,35.0,334.0,80.0,6.0,0.0,1.0,26.0,1.0,0.0,0.0,0.0,73.0,4.0,14.0,22.0,2.92,17.0,1.0,0.0,1.0,3.0,0.4,2.0,0.0,0.0,0.0,0.0,13.0,10.0,3.0,7.0,3.0,9.0,2.0,7.0,8.0,20.0,0.0,514.0,18.0,111.0,234.0,177.0,11.0,514.0,275.0,29.0,21.0,4.0,301.0,11.0,5.0,0.0,12.0,12.0,1.0,0.0,1.0,0.0,47.0,9.0,6.0,60.0
+Emanuel Aiwum,at AUT,DF,Cremonese,22-047,2000,15.0,11.0,1029.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.01,0.01,11.4,1.0,0.0,33.3,0.09,0.0,0.0,0.05,-0.2,-0.2,415.0,539.0,77.0,7092.0,2637.0,191.0,211.0,90.5,186.0,229.0,81.2,30.0,71.0,42.3,4.0,36.0,7.0,1.0,39.0,460.0,77.0,17.0,1.0,4.0,4.0,0.0,0.0,0.0,0.0,55.0,2.0,10.0,10.0,0.87,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,26.0,25.0,16.0,2.0,15.0,9.0,6.0,19.0,37.0,1.0,669.0,70.0,336.0,298.0,45.0,5.0,669.0,331.0,17.0,10.0,0.0,336.0,6.0,3.0,0.0,13.0,8.0,0.0,0.0,0.0,0.0,80.0,19.0,7.0,73.1
+Jean-Daniel Akpa-Akpro,ci CIV,MF,Empoli,30-122,1992,11.0,6.0,547.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,6.1,1.0,0.0,20.0,0.16,0.0,0.0,0.05,-0.2,-0.2,146.0,192.0,76.0,2109.0,823.0,75.0,91.0,82.4,51.0,61.0,83.6,7.0,11.0,63.6,1.0,11.0,2.0,1.0,18.0,190.0,2.0,2.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,9.0,1.48,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,16.0,9.0,8.0,4.0,21.0,4.0,17.0,6.0,12.0,0.0,289.0,13.0,80.0,154.0,60.0,9.0,289.0,148.0,8.0,11.0,4.0,169.0,11.0,8.0,1.0,14.0,7.0,0.0,0.0,0.0,0.0,31.0,6.0,4.0,60.0
+Luis Alberto,es ESP,MF,Lazio,30-135,1992,18.0,10.0,963.0,4.0,3.0,1.0,1.0,1.0,0.0,0.37,0.28,0.65,0.28,0.56,1.9,1.1,0.18,0.1,10.7,6.0,2.0,37.5,0.56,0.19,0.5,0.07,2.1,1.9,563.0,705.0,79.9,8895.0,3080.0,314.0,350.0,89.7,180.0,213.0,84.5,49.0,102.0,48.0,24.0,56.0,20.0,0.0,93.0,612.0,90.0,30.0,7.0,3.0,61.0,45.0,22.0,19.0,0.0,2.0,3.0,10.0,36.0,3.37,24.0,12.0,0.0,0.0,6.0,0.56,5.0,1.0,0.0,0.0,0.0,19.0,10.0,7.0,9.0,3.0,12.0,1.0,11.0,4.0,1.0,0.0,796.0,12.0,100.0,439.0,262.0,21.0,795.0,417.0,32.0,29.0,5.0,576.0,15.0,12.0,0.0,6.0,3.0,2.0,0.0,0.0,0.0,64.0,3.0,6.0,33.3
+"Agustín Álvarez Martínez,uy URU,""FW,MF"",Sassuolo,21-267,2001,16.0,1.0,296.0,1.0,1.0,0.0,0.0,1.0,0.0,0.3,0.3,0.61,0.3,0.61,1.3,1.3,0.39,0.39,3.3,3.0,0.0,27.3,0.91,0.09,0.33,0.12,-0.3,-0.3,52.0,65.0,80.0,700.0,123.0,35.0,42.0,83.3,9.0,13.0,69.2,4.0,5.0,80.0,1.0,3.0,2.0,0.0,5.0,61.0,4.0,0.0,0.0,1.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,6.0,1.82,2.0,0.0,2.0,1.0,2.0,0.61,1.0,0.0,1.0,0.0,0.0,3.0,2.0,0.0,2.0,1.0,3.0,1.0,2.0,3.0,3.0,0.0,119.0,4.0,11.0,55.0,55.0,11.0,119.0,59.0,2.0,0.0,1.0,75.0,14.0,7.0,0.0,7.0,3.0,2.0,0.0,0.0,0.0,15.0,8.0,9.0,47.1"
+Kelvin Amian,fr FRA,DF,Spezia,25-002,1998,14.0,10.0,959.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.09,0.09,0.0,0.09,0.5,0.5,0.04,0.04,10.7,1.0,1.0,12.5,0.09,0.0,0.0,0.06,-0.5,-0.5,325.0,439.0,74.0,5378.0,2284.0,164.0,194.0,84.5,133.0,179.0,74.3,22.0,46.0,47.8,6.0,26.0,5.0,3.0,35.0,347.0,91.0,9.0,1.0,2.0,7.0,0.0,0.0,0.0,0.0,82.0,1.0,10.0,11.0,1.03,9.0,0.0,1.0,0.0,1.0,0.09,0.0,0.0,1.0,0.0,0.0,22.0,12.0,14.0,3.0,5.0,11.0,5.0,6.0,11.0,33.0,1.0,547.0,45.0,211.0,206.0,133.0,16.0,547.0,233.0,18.0,9.0,1.0,265.0,10.0,5.0,0.0,18.0,2.0,1.0,0.0,0.0,0.0,43.0,17.0,19.0,47.2
+Bruno Amione,ar ARG,DF,Hellas Verona,21-038,2002,1.0,1.0,58.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,16.0,68.8,167.0,40.0,6.0,6.0,100.0,5.0,7.0,71.4,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,4.0,0.0,20.0,9.0,17.0,4.0,0.0,0.0,20.0,7.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
+Bruno Amione,ar ARG,DF,Sampdoria,21-038,2002,10.0,10.0,790.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.11,0.11,0.0,0.11,0.2,0.2,0.03,0.03,8.8,1.0,0.0,20.0,0.11,0.0,0.0,0.05,-0.2,-0.2,323.0,419.0,77.1,5650.0,2159.0,135.0,157.0,86.0,163.0,198.0,82.3,24.0,48.0,50.0,2.0,8.0,3.0,1.0,22.0,362.0,55.0,18.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,37.0,2.0,10.0,6.0,0.68,5.0,0.0,1.0,0.0,1.0,0.11,0.0,0.0,1.0,0.0,0.0,23.0,14.0,17.0,6.0,0.0,10.0,4.0,6.0,11.0,21.0,1.0,510.0,42.0,284.0,190.0,41.0,12.0,510.0,238.0,2.0,4.0,0.0,247.0,8.0,0.0,0.0,10.0,6.0,0.0,0.0,1.0,0.0,47.0,29.0,16.0,64.4
+"Ethan Ampadu,wls WAL,""DF,MF"",Spezia,22-149,2000,16.0,16.0,1360.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.07,0.07,0.0,0.07,0.9,0.9,0.06,0.06,15.1,4.0,0.0,33.3,0.26,0.0,0.0,0.08,-0.9,-0.9,550.0,736.0,74.7,10402.0,4298.0,208.0,252.0,82.5,274.0,323.0,84.8,60.0,129.0,46.5,8.0,64.0,9.0,4.0,80.0,666.0,65.0,31.0,1.0,12.0,10.0,0.0,0.0,0.0,0.0,34.0,5.0,11.0,27.0,1.79,23.0,0.0,2.0,1.0,4.0,0.26,4.0,0.0,0.0,0.0,0.0,44.0,25.0,18.0,22.0,4.0,28.0,11.0,17.0,18.0,31.0,0.0,903.0,71.0,342.0,472.0,100.0,13.0,903.0,449.0,9.0,9.0,0.0,499.0,10.0,4.0,0.0,24.0,12.0,1.0,0.0,1.0,0.0,107.0,35.0,20.0,63.6"
+Sofyan Amrabat,ma MAR,MF,Fiorentina,26-173,1996,18.0,14.0,1165.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,12.9,2.0,0.0,28.6,0.15,0.0,0.0,0.03,-0.2,-0.2,803.0,904.0,88.8,16162.0,4290.0,265.0,297.0,89.2,403.0,430.0,93.7,125.0,152.0,82.2,7.0,107.0,13.0,5.0,120.0,845.0,57.0,52.0,0.0,12.0,12.0,0.0,0.0,0.0,0.0,4.0,2.0,11.0,22.0,1.7,21.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,15.0,10.0,7.0,5.0,14.0,4.0,10.0,15.0,8.0,1.0,996.0,24.0,152.0,685.0,173.0,3.0,996.0,678.0,21.0,19.0,0.0,727.0,17.0,13.0,0.0,28.0,20.0,0.0,0.0,0.0,0.0,95.0,7.0,7.0,50.0
+Felipe Anderson,br BRA,FW,Lazio,29-301,1993,21.0,19.0,1630.0,6.0,2.0,0.0,0.0,1.0,0.0,0.33,0.11,0.44,0.33,0.44,4.1,4.1,0.22,0.22,18.1,12.0,0.0,54.5,0.66,0.27,0.5,0.18,1.9,1.9,548.0,717.0,76.4,7839.0,1717.0,347.0,408.0,85.0,158.0,200.0,79.0,29.0,51.0,56.9,29.0,33.0,22.0,3.0,62.0,695.0,20.0,2.0,1.0,5.0,22.0,3.0,1.0,2.0,0.0,7.0,2.0,20.0,57.0,3.15,47.0,1.0,2.0,1.0,9.0,0.5,5.0,0.0,1.0,0.0,0.0,39.0,24.0,11.0,24.0,4.0,31.0,2.0,29.0,10.0,15.0,0.0,941.0,13.0,109.0,426.0,421.0,76.0,941.0,502.0,48.0,35.0,17.0,702.0,49.0,30.0,0.0,22.0,20.0,4.0,0.0,0.0,0.0,72.0,6.0,15.0,28.6
+Janis Antiste,fr FRA,FW,Sassuolo,20-176,2002,2.0,0.0,52.0,1.0,0.0,0.0,0.0,0.0,0.0,1.73,0.0,1.73,1.73,1.73,0.2,0.2,0.31,0.31,0.6,1.0,0.0,100.0,1.73,1.0,1.0,0.18,0.8,0.8,13.0,18.0,72.2,159.0,43.0,8.0,11.0,72.7,4.0,5.0,80.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,0.0,7.0,9.0,7.0,1.0,23.0,14.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,66.7
+Marcos Antônio,br BRA,MF,Lazio,22-242,2000,11.0,3.0,311.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,184.0,206.0,89.3,2643.0,697.0,111.0,119.0,93.3,52.0,60.0,86.7,12.0,16.0,75.0,0.0,19.0,1.0,0.0,14.0,204.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.58,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,2.0,0.0,2.0,3.0,11.0,0.0,245.0,14.0,61.0,162.0,23.0,0.0,245.0,143.0,0.0,2.0,0.0,180.0,5.0,3.0,0.0,6.0,11.0,0.0,0.0,0.0,0.0,22.0,0.0,1.0,0.0
+Valentin Antov,bg BUL,DF,Monza,22-093,2000,4.0,1.0,172.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,92.0,111.0,82.9,1648.0,862.0,42.0,49.0,85.7,39.0,44.0,88.6,10.0,16.0,62.5,1.0,9.0,2.0,0.0,9.0,101.0,10.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,2.0,1.05,2.0,0.0,0.0,0.0,1.0,0.52,1.0,0.0,0.0,0.0,0.0,5.0,4.0,3.0,2.0,0.0,4.0,3.0,1.0,0.0,6.0,1.0,131.0,18.0,65.0,54.0,12.0,0.0,131.0,58.0,0.0,2.0,0.0,76.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,14.0,3.0,7.0,30.0
+Marko Arnautović,at AUT,FW,Bologna,33-297,1989,14.0,14.0,1189.0,8.0,0.0,3.0,3.0,4.0,0.0,0.61,0.0,0.61,0.38,0.38,5.7,3.3,0.43,0.25,13.2,10.0,0.0,47.6,0.76,0.24,0.5,0.16,2.3,1.7,257.0,364.0,70.6,3648.0,648.0,145.0,188.0,77.1,82.0,105.0,78.1,11.0,20.0,55.0,19.0,13.0,12.0,1.0,28.0,327.0,31.0,0.0,2.0,0.0,8.0,0.0,0.0,0.0,0.0,3.0,6.0,12.0,34.0,2.57,28.0,0.0,2.0,2.0,3.0,0.23,2.0,0.0,0.0,0.0,0.0,8.0,5.0,2.0,4.0,2.0,7.0,1.0,6.0,2.0,8.0,0.0,479.0,12.0,31.0,251.0,202.0,45.0,476.0,270.0,11.0,10.0,6.0,380.0,30.0,16.0,0.0,18.0,13.0,10.0,0.0,0.0,0.0,27.0,7.0,10.0,41.2
+Tolgay Arslan,de GER,MF,Udinese,32-178,1990,20.0,10.0,815.0,1.0,0.0,0.0,0.0,1.0,0.0,0.11,0.0,0.11,0.11,0.11,1.4,1.4,0.16,0.16,9.1,5.0,1.0,26.3,0.55,0.05,0.2,0.07,-0.4,-0.4,306.0,384.0,79.7,5597.0,1706.0,137.0,160.0,85.6,110.0,131.0,84.0,45.0,62.0,72.6,10.0,30.0,15.0,2.0,51.0,355.0,29.0,16.0,0.0,10.0,20.0,8.0,3.0,1.0,0.0,5.0,0.0,10.0,25.0,2.76,17.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,8.0,7.0,1.0,11.0,0.0,11.0,7.0,9.0,0.0,499.0,10.0,81.0,253.0,167.0,21.0,499.0,303.0,31.0,20.0,10.0,332.0,20.0,12.0,0.0,11.0,21.0,0.0,0.0,0.0,0.0,44.0,5.0,2.0,71.4
+Arthur,br BRA,FW,Fiorentina,24-291,1998,16.0,6.0,663.0,3.0,1.0,1.0,1.0,1.0,0.0,0.41,0.14,0.54,0.27,0.41,3.1,2.3,0.42,0.31,7.4,9.0,0.0,37.5,1.22,0.08,0.22,0.1,-0.1,-0.3,99.0,138.0,71.7,1273.0,212.0,65.0,82.0,79.3,20.0,24.0,83.3,5.0,7.0,71.4,7.0,2.0,5.0,0.0,11.0,127.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,17.0,2.3,13.0,0.0,2.0,1.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,6.0,2.0,1.0,1.0,4.0,6.0,0.0,6.0,0.0,3.0,0.0,240.0,3.0,13.0,79.0,150.0,51.0,239.0,130.0,5.0,2.0,4.0,177.0,34.0,8.0,0.0,9.0,7.0,1.0,0.0,0.0,0.0,14.0,22.0,24.0,47.8
+Santiago Ascacíbar,ar ARG,MF,Cremonese,25-350,1997,13.0,7.0,727.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,8.1,3.0,0.0,21.4,0.37,0.0,0.0,0.03,-0.4,-0.4,358.0,435.0,82.3,6100.0,2189.0,182.0,207.0,87.9,135.0,145.0,93.1,34.0,56.0,60.7,8.0,50.0,7.0,2.0,41.0,412.0,21.0,11.0,0.0,4.0,5.0,5.0,0.0,3.0,0.0,5.0,2.0,9.0,25.0,3.09,17.0,1.0,7.0,0.0,3.0,0.37,1.0,0.0,2.0,0.0,0.0,30.0,14.0,18.0,10.0,2.0,14.0,2.0,12.0,13.0,11.0,0.0,554.0,26.0,178.0,280.0,100.0,4.0,554.0,254.0,1.0,3.0,0.0,314.0,8.0,4.0,0.0,11.0,9.0,0.0,0.0,0.0,0.0,62.0,10.0,20.0,33.3
+Kristoffer Askildsen,no NOR,MF,Lecce,22-032,2001,15.0,6.0,568.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.07,0.07,6.3,3.0,1.0,33.3,0.48,0.0,0.0,0.05,-0.4,-0.4,133.0,210.0,63.3,2435.0,847.0,63.0,85.0,74.1,43.0,65.0,66.2,20.0,40.0,50.0,5.0,17.0,2.0,0.0,19.0,178.0,31.0,11.0,0.0,7.0,19.0,15.0,7.0,6.0,0.0,3.0,1.0,7.0,13.0,2.06,7.0,4.0,0.0,2.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,7.0,3.0,2.0,3.0,2.0,11.0,3.0,8.0,10.0,6.0,0.0,279.0,14.0,58.0,143.0,81.0,6.0,279.0,108.0,9.0,2.0,1.0,133.0,10.0,3.0,0.0,13.0,6.0,1.0,0.0,1.0,0.0,35.0,16.0,14.0,53.3
+Kristjan Asllani,al ALB,MF,Inter,20-338,2002,12.0,2.0,295.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,3.3,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,196.0,226.0,86.7,3610.0,816.0,94.0,97.0,96.9,68.0,73.0,93.2,30.0,47.0,63.8,2.0,12.0,1.0,0.0,10.0,215.0,10.0,5.0,1.0,2.0,8.0,5.0,2.0,2.0,0.0,0.0,1.0,3.0,7.0,2.14,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,0.0,5.0,2.0,2.0,0.0,2.0,1.0,3.0,0.0,254.0,5.0,59.0,147.0,49.0,1.0,254.0,164.0,2.0,8.0,1.0,191.0,3.0,2.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,24.0,0.0,2.0,0.0
+Emil Audero,it ITA,GK,Sampdoria,26-023,1997,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,501.0,762.0,65.7,15621.0,11520.0,74.0,74.0,100.0,202.0,204.0,99.0,224.0,476.0,47.1,0.0,12.0,0.0,0.0,0.0,523.0,234.0,73.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,0.19,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,818.0,667.0,806.0,14.0,0.0,0.0,818.0,448.0,0.0,0.0,0.0,344.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,32.0,4.0,0.0,100.0
+Tommaso Augello,it ITA,DF,Sampdoria,28-164,1994,20.0,18.0,1626.0,1.0,2.0,0.0,0.0,1.0,0.0,0.06,0.11,0.17,0.06,0.17,0.3,0.3,0.01,0.01,18.1,2.0,0.0,33.3,0.11,0.17,0.5,0.04,0.7,0.7,680.0,945.0,72.0,11958.0,5157.0,308.0,344.0,89.5,295.0,405.0,72.8,65.0,127.0,51.2,21.0,44.0,29.0,19.0,58.0,748.0,196.0,26.0,0.0,4.0,81.0,2.0,0.0,2.0,0.0,168.0,1.0,38.0,39.0,2.16,32.0,4.0,1.0,0.0,4.0,0.22,4.0,0.0,0.0,0.0,0.0,9.0,7.0,7.0,1.0,1.0,13.0,6.0,7.0,7.0,31.0,1.0,1056.0,48.0,317.0,459.0,296.0,8.0,1056.0,559.0,45.0,26.0,3.0,606.0,11.0,9.0,0.0,8.0,9.0,1.0,0.0,0.0,0.0,84.0,17.0,15.0,53.1
+Kaan Ayhan,tr TUR,DF,Sassuolo,28-092,1994,10.0,5.0,545.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.1,1.0,0.0,100.0,0.17,0.0,0.0,0.01,0.0,0.0,288.0,332.0,86.7,6000.0,1702.0,84.0,87.0,96.6,154.0,167.0,92.2,48.0,72.0,66.7,0.0,20.0,0.0,0.0,15.0,311.0,20.0,15.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,5.0,0.83,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,6.0,4.0,0.0,5.0,4.0,1.0,5.0,26.0,1.0,385.0,54.0,198.0,182.0,6.0,0.0,385.0,235.0,8.0,5.0,0.0,264.0,0.0,1.0,0.0,4.0,8.0,0.0,0.0,0.0,0.0,28.0,2.0,7.0,22.2
+Jaime Báez,uy URU,DF,Cremonese,27-291,1995,2.0,1.0,96.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,32.0,48.0,66.7,640.0,379.0,8.0,10.0,80.0,13.0,17.0,76.5,7.0,14.0,50.0,2.0,7.0,2.0,2.0,4.0,44.0,4.0,2.0,0.0,0.0,9.0,2.0,0.0,1.0,0.0,0.0,0.0,2.0,5.0,4.69,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,62.0,3.0,10.0,37.0,16.0,2.0,62.0,34.0,5.0,3.0,0.0,34.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
+"Nedim Bajrami,al ALB,""MF,FW"",Empoli,23-347,1999,19.0,8.0,941.0,1.0,1.0,0.0,0.0,1.0,0.0,0.1,0.1,0.19,0.1,0.19,1.2,1.2,0.12,0.12,10.5,7.0,6.0,33.3,0.67,0.05,0.14,0.06,-0.2,-0.2,260.0,348.0,74.7,3968.0,1323.0,149.0,182.0,81.9,79.0,96.0,82.3,20.0,43.0,46.5,15.0,19.0,6.0,0.0,29.0,305.0,43.0,9.0,0.0,4.0,35.0,18.0,10.0,5.0,0.0,8.0,0.0,8.0,39.0,3.74,27.0,8.0,1.0,1.0,4.0,0.38,2.0,0.0,0.0,1.0,0.0,8.0,4.0,3.0,3.0,2.0,5.0,0.0,5.0,7.0,4.0,0.0,457.0,1.0,66.0,185.0,219.0,27.0,457.0,267.0,21.0,21.0,10.0,304.0,24.0,17.0,0.0,6.0,6.0,3.0,0.0,0.0,0.0,49.0,2.0,7.0,22.2"
+Nedim Bajrami,al ALB,MF,Sassuolo,23-347,1999,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,2.06,2.06,0.3,1.0,0.0,50.0,3.75,0.0,0.0,0.27,-0.5,-0.5,5.0,7.0,71.4,93.0,4.0,1.0,1.0,100.0,4.0,6.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,1.0,4.0,5.0,2.0,9.0,9.0,1.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Tommaso Baldanzi,it ITA,MF,Empoli,19-324,2003,12.0,10.0,744.0,4.0,0.0,0.0,0.0,0.0,0.0,0.48,0.0,0.48,0.48,0.48,1.0,1.0,0.12,0.12,8.3,6.0,0.0,54.5,0.73,0.36,0.67,0.09,3.0,3.0,253.0,305.0,83.0,3656.0,890.0,133.0,148.0,89.9,91.0,101.0,90.1,11.0,21.0,52.4,14.0,19.0,11.0,0.0,38.0,286.0,18.0,2.0,2.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,30.0,3.62,24.0,1.0,3.0,2.0,2.0,0.24,2.0,0.0,0.0,0.0,0.0,15.0,7.0,5.0,9.0,1.0,7.0,0.0,7.0,1.0,2.0,0.0,381.0,3.0,59.0,189.0,138.0,16.0,381.0,249.0,28.0,27.0,6.0,271.0,16.0,6.0,0.0,7.0,13.0,0.0,0.0,0.0,0.0,26.0,2.0,3.0,40.0
+Fodé Ballo-Touré,sn SEN,DF,Milan,26-038,1997,3.0,2.0,196.0,1.0,0.0,0.0,0.0,0.0,0.0,0.46,0.0,0.46,0.46,0.46,0.1,0.1,0.07,0.07,2.2,1.0,0.0,100.0,0.46,1.0,1.0,0.14,0.9,0.9,103.0,118.0,87.3,1741.0,566.0,46.0,48.0,95.8,47.0,53.0,88.7,9.0,13.0,69.2,1.0,8.0,5.0,3.0,11.0,90.0,28.0,2.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,26.0,0.0,2.0,3.0,1.38,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,4.0,0.0,3.0,2.0,1.0,1.0,1.0,0.0,146.0,3.0,26.0,69.0,52.0,4.0,146.0,58.0,5.0,2.0,0.0,76.0,2.0,3.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,16.0,3.0,1.0,75.0
+"Lameck Banda,zm ZAM,""FW,MF"",Lecce,22-012,2001,21.0,11.0,1034.0,1.0,1.0,0.0,0.0,3.0,0.0,0.09,0.09,0.17,0.09,0.17,1.5,1.5,0.13,0.13,11.5,7.0,0.0,36.8,0.61,0.05,0.14,0.08,-0.5,-0.5,155.0,250.0,62.0,2106.0,571.0,92.0,124.0,74.2,46.0,74.0,62.2,10.0,21.0,47.6,8.0,12.0,6.0,1.0,18.0,239.0,10.0,1.0,0.0,0.0,29.0,6.0,3.0,0.0,0.0,3.0,1.0,14.0,22.0,1.91,10.0,1.0,1.0,3.0,3.0,0.26,3.0,0.0,0.0,0.0,0.0,19.0,11.0,8.0,9.0,2.0,18.0,2.0,16.0,3.0,2.0,0.0,433.0,6.0,51.0,165.0,231.0,43.0,433.0,298.0,49.0,36.0,21.0,296.0,37.0,22.0,0.0,18.0,26.0,9.0,0.0,0.0,0.0,50.0,5.0,16.0,23.8"
+Filippo Bandinelli,it ITA,MF,Empoli,27-318,1995,21.0,17.0,1422.0,2.0,0.0,0.0,0.0,4.0,0.0,0.13,0.0,0.13,0.13,0.13,1.4,1.4,0.09,0.09,15.8,5.0,0.0,29.4,0.32,0.12,0.4,0.08,0.6,0.6,474.0,649.0,73.0,7886.0,2416.0,224.0,263.0,85.2,191.0,235.0,81.3,39.0,85.0,45.9,23.0,39.0,26.0,16.0,64.0,598.0,48.0,7.0,1.0,4.0,64.0,9.0,3.0,5.0,0.0,31.0,3.0,29.0,44.0,2.78,38.0,1.0,2.0,2.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,33.0,20.0,11.0,14.0,8.0,12.0,3.0,9.0,9.0,26.0,0.0,834.0,36.0,186.0,401.0,259.0,19.0,834.0,468.0,26.0,26.0,5.0,540.0,25.0,21.0,0.0,33.0,33.0,0.0,0.0,0.0,0.0,86.0,6.0,14.0,30.0
+Antonín Barák,cz CZE,MF,Hellas Verona,28-069,1994,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,14.0,78.6,140.0,24.0,7.0,10.0,70.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,13.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,10.0,6.0,0.0,16.0,12.0,0.0,0.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Antonín Barák,cz CZE,MF,Fiorentina,28-069,1994,17.0,11.0,999.0,1.0,0.0,0.0,0.0,2.0,0.0,0.09,0.0,0.09,0.09,0.09,1.1,1.1,0.1,0.1,11.1,3.0,0.0,18.8,0.27,0.06,0.33,0.07,-0.1,-0.1,325.0,403.0,80.6,4994.0,1111.0,179.0,196.0,91.3,113.0,141.0,80.1,23.0,35.0,65.7,12.0,38.0,8.0,1.0,42.0,391.0,11.0,4.0,2.0,2.0,7.0,0.0,0.0,0.0,0.0,2.0,1.0,13.0,21.0,1.9,17.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,3.0,4.0,5.0,8.0,1.0,7.0,3.0,8.0,0.0,504.0,9.0,50.0,262.0,198.0,35.0,504.0,312.0,23.0,20.0,3.0,368.0,22.0,14.0,0.0,7.0,9.0,1.0,0.0,1.0,0.0,40.0,9.0,18.0,33.3
+Andrea Barberis,it ITA,MF,Monza,29-061,1993,7.0,3.0,316.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.28,0.28,0.0,0.28,0.1,0.1,0.03,0.03,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,133.0,158.0,84.2,2154.0,599.0,64.0,72.0,88.9,60.0,70.0,85.7,7.0,10.0,70.0,3.0,14.0,1.0,1.0,13.0,150.0,8.0,5.0,0.0,0.0,4.0,2.0,0.0,2.0,0.0,1.0,0.0,2.0,9.0,2.57,8.0,1.0,0.0,0.0,2.0,0.57,1.0,1.0,0.0,0.0,0.0,6.0,2.0,4.0,2.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,182.0,6.0,38.0,114.0,31.0,2.0,182.0,95.0,3.0,7.0,1.0,131.0,2.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,14.0,2.0,1.0,66.7
+Nicolò Barella,it ITA,MF,Inter,26-003,1997,20.0,19.0,1609.0,5.0,5.0,0.0,0.0,4.0,0.0,0.28,0.28,0.56,0.28,0.56,2.1,2.1,0.12,0.12,17.9,8.0,1.0,47.1,0.45,0.29,0.63,0.12,2.9,2.9,755.0,936.0,80.7,11722.0,3595.0,414.0,464.0,89.2,276.0,326.0,84.7,43.0,89.0,48.3,27.0,77.0,30.0,7.0,103.0,907.0,23.0,11.0,4.0,11.0,48.0,3.0,0.0,1.0,0.0,7.0,6.0,15.0,67.0,3.75,57.0,2.0,0.0,5.0,9.0,0.5,8.0,0.0,0.0,0.0,0.0,24.0,13.0,11.0,11.0,2.0,18.0,4.0,14.0,7.0,6.0,0.0,1100.0,22.0,181.0,562.0,376.0,40.0,1100.0,738.0,46.0,45.0,7.0,831.0,30.0,25.0,0.0,21.0,32.0,5.0,0.0,0.0,0.0,106.0,14.0,7.0,66.7
+"Musa Barrow,gm GAM,""FW,MF"",Bologna,24-088,1998,15.0,10.0,763.0,2.0,1.0,0.0,0.0,1.0,0.0,0.24,0.12,0.35,0.24,0.35,1.3,1.3,0.15,0.15,8.5,6.0,0.0,21.4,0.71,0.07,0.33,0.05,0.7,0.7,199.0,293.0,67.9,3698.0,1015.0,95.0,110.0,86.4,58.0,83.0,69.9,36.0,73.0,49.3,16.0,15.0,8.0,6.0,15.0,248.0,43.0,8.0,1.0,9.0,50.0,28.0,10.0,16.0,0.0,5.0,2.0,9.0,29.0,3.42,15.0,9.0,1.0,2.0,2.0,0.24,1.0,1.0,0.0,0.0,0.0,7.0,2.0,4.0,2.0,1.0,13.0,0.0,13.0,0.0,2.0,0.0,397.0,2.0,44.0,171.0,187.0,12.0,397.0,223.0,22.0,16.0,5.0,269.0,16.0,10.0,0.0,10.0,10.0,1.0,0.0,0.0,0.0,40.0,2.0,13.0,13.3"
+Federico Baschirotto,it ITA,DF,Lecce,26-143,1996,21.0,21.0,1890.0,3.0,0.0,0.0,0.0,4.0,0.0,0.14,0.0,0.14,0.14,0.14,1.4,1.4,0.07,0.07,21.0,3.0,0.0,27.3,0.14,0.27,1.0,0.13,1.6,1.6,619.0,843.0,73.4,13501.0,4961.0,157.0,183.0,85.8,341.0,411.0,83.0,112.0,219.0,51.1,2.0,53.0,3.0,1.0,58.0,769.0,69.0,45.0,1.0,16.0,8.0,0.0,0.0,0.0,0.0,18.0,5.0,7.0,7.0,0.33,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,16.0,17.0,3.0,0.0,24.0,16.0,8.0,26.0,106.0,0.0,1060.0,152.0,580.0,439.0,48.0,18.0,1060.0,505.0,8.0,2.0,0.0,546.0,6.0,1.0,0.0,19.0,8.0,0.0,0.0,0.0,0.0,115.0,51.0,42.0,54.8
+Toma Bašić,hr CRO,MF,Lazio,26-077,1996,14.0,4.0,373.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.11,0.11,4.1,3.0,0.0,50.0,0.72,0.0,0.0,0.07,-0.4,-0.4,155.0,213.0,72.8,2229.0,430.0,74.0,90.0,82.2,66.0,76.0,86.8,4.0,22.0,18.2,5.0,9.0,4.0,2.0,12.0,196.0,17.0,5.0,2.0,0.0,17.0,5.0,2.0,3.0,0.0,0.0,0.0,10.0,7.0,1.69,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,7.0,0.0,7.0,5.0,6.0,0.0,262.0,8.0,54.0,133.0,77.0,8.0,262.0,159.0,11.0,5.0,1.0,178.0,9.0,5.0,0.0,8.0,9.0,0.0,0.0,0.0,0.0,20.0,8.0,6.0,57.1
+Alessandro Bastoni,it ITA,DF,Inter,23-303,1999,17.0,15.0,1267.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.8,0.8,0.06,0.06,14.1,3.0,0.0,30.0,0.21,0.0,0.0,0.08,-0.8,-0.8,822.0,985.0,83.5,16378.0,5905.0,283.0,313.0,90.4,413.0,459.0,90.0,115.0,181.0,63.5,9.0,73.0,16.0,4.0,92.0,897.0,85.0,36.0,0.0,13.0,20.0,0.0,0.0,0.0,0.0,42.0,3.0,12.0,34.0,2.41,27.0,2.0,2.0,2.0,4.0,0.28,2.0,1.0,0.0,1.0,0.0,25.0,12.0,11.0,9.0,5.0,14.0,5.0,9.0,17.0,28.0,0.0,1095.0,104.0,459.0,483.0,158.0,20.0,1095.0,667.0,26.0,23.0,2.0,768.0,9.0,4.0,0.0,12.0,12.0,1.0,0.0,0.0,0.0,68.0,28.0,11.0,71.8
+"Simone Bastoni,it ITA,""MF,DF"",Spezia,26-097,1996,13.0,12.0,946.0,2.0,2.0,0.0,0.0,4.0,0.0,0.19,0.19,0.38,0.19,0.38,1.1,1.1,0.1,0.1,10.5,6.0,1.0,30.0,0.57,0.1,0.33,0.05,0.9,0.9,281.0,469.0,59.9,4709.0,1739.0,142.0,168.0,84.5,100.0,165.0,60.6,32.0,90.0,35.6,15.0,24.0,9.0,6.0,24.0,374.0,94.0,21.0,2.0,4.0,86.0,42.0,24.0,14.0,0.0,31.0,1.0,29.0,26.0,2.47,15.0,8.0,2.0,0.0,2.0,0.19,2.0,0.0,0.0,0.0,0.0,37.0,18.0,16.0,16.0,5.0,16.0,4.0,12.0,7.0,9.0,0.0,591.0,24.0,146.0,238.0,213.0,20.0,591.0,270.0,12.0,12.0,2.0,312.0,13.0,11.0,0.0,23.0,11.0,2.0,0.0,0.0,0.0,71.0,11.0,8.0,57.9"
+Brian Bayeye,fr FRA,DF,Torino,22-225,2000,1.0,1.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,46.0,63.0,472.0,262.0,14.0,16.0,87.5,11.0,16.0,68.8,3.0,4.0,75.0,0.0,2.0,0.0,0.0,3.0,35.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,5.0,2.0,3.33,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,1.0,1.0,0.0,1.0,2.0,0.0,59.0,6.0,28.0,21.0,10.0,3.0,59.0,21.0,3.0,2.0,2.0,26.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0
+Rodrigo Becão,br BRA,DF,Udinese,27-022,1996,15.0,15.0,1322.0,1.0,1.0,0.0,0.0,6.0,0.0,0.07,0.07,0.14,0.07,0.14,0.9,0.9,0.06,0.06,14.7,3.0,0.0,33.3,0.2,0.11,0.33,0.1,0.1,0.1,597.0,762.0,78.3,11248.0,4767.0,235.0,267.0,88.0,285.0,333.0,85.6,69.0,124.0,55.6,7.0,49.0,2.0,1.0,56.0,645.0,116.0,32.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,84.0,1.0,21.0,18.0,1.23,10.0,4.0,1.0,2.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,46.0,21.0,33.0,11.0,2.0,23.0,14.0,9.0,10.0,31.0,0.0,900.0,69.0,419.0,376.0,109.0,24.0,900.0,462.0,6.0,7.0,1.0,510.0,6.0,2.0,0.0,19.0,17.0,4.0,0.0,0.0,1.0,85.0,32.0,17.0,65.3
+Julius Beck,dk DEN,MF,Spezia,17-289,2005,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,100.0,116.0,29.0,0.0,0.0,0.0,4.0,4.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,5.0,1.0,0.0,8.0,5.0,0.0,0.0,0.0,6.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+"Raoul Bellanova,it ITA,""DF,MF"",Inter,22-269,2000,10.0,0.0,159.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.17,0.17,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.15,-0.3,-0.3,86.0,115.0,74.8,1406.0,312.0,47.0,54.0,87.0,28.0,40.0,70.0,8.0,14.0,57.1,1.0,2.0,1.0,1.0,4.0,102.0,13.0,0.0,0.0,2.0,14.0,0.0,0.0,0.0,0.0,13.0,0.0,4.0,4.0,2.24,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,1.0,0.0,2.0,1.0,1.0,3.0,5.0,0.0,143.0,8.0,39.0,53.0,51.0,4.0,143.0,85.0,8.0,6.0,0.0,89.0,2.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,7.0,2.0,0.0,100.0"
+Andrea Belotti,it ITA,FW,Roma,29-052,1993,17.0,2.0,398.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.2,0.44,0.26,4.4,4.0,0.0,50.0,0.9,0.0,0.0,0.15,-2.0,-1.2,64.0,95.0,67.4,834.0,161.0,34.0,44.0,77.3,16.0,25.0,64.0,4.0,5.0,80.0,8.0,3.0,1.0,0.0,4.0,86.0,7.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,3.0,10.0,2.27,8.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,1.0,1.0,3.0,3.0,1.0,2.0,2.0,2.0,0.0,148.0,3.0,13.0,56.0,80.0,19.0,147.0,83.0,12.0,3.0,5.0,111.0,13.0,5.0,0.0,9.0,10.0,4.0,0.0,0.0,0.0,9.0,7.0,17.0,29.2
+Marco Benassi,it ITA,DF,Fiorentina,28-155,1994,2.0,1.0,93.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,91.0,105.0,86.7,2107.0,426.0,32.0,32.0,100.0,33.0,41.0,80.5,26.0,31.0,83.9,1.0,11.0,1.0,0.0,9.0,94.0,11.0,5.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,1.0,0.97,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,112.0,1.0,25.0,64.0,24.0,3.0,112.0,81.0,0.0,4.0,0.0,85.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,10.0,3.0,2.0,60.0
+Marco Benassi,it ITA,MF,Cremonese,28-155,1994,3.0,2.0,185.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.16,0.16,2.1,2.0,0.0,50.0,0.97,0.0,0.0,0.08,-0.3,-0.3,51.0,65.0,78.5,831.0,201.0,26.0,30.0,86.7,21.0,25.0,84.0,3.0,7.0,42.9,4.0,3.0,2.0,2.0,2.0,57.0,8.0,1.0,0.0,0.0,9.0,3.0,1.0,2.0,0.0,1.0,0.0,2.0,6.0,2.92,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,1.0,4.0,0.0,85.0,3.0,18.0,40.0,27.0,4.0,85.0,42.0,4.0,3.0,0.0,48.0,2.0,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,11.0,1.0,1.0,50.0
+Ismaël Bennacer,dz ALG,MF,Milan,25-071,1997,19.0,16.0,1413.0,1.0,1.0,0.0,0.0,5.0,0.0,0.06,0.06,0.13,0.06,0.13,0.3,0.3,0.02,0.02,15.7,2.0,2.0,28.6,0.13,0.14,0.5,0.04,0.7,0.7,867.0,1006.0,86.2,15616.0,4453.0,373.0,402.0,92.8,340.0,372.0,91.4,120.0,178.0,67.4,36.0,91.0,19.0,3.0,99.0,922.0,82.0,48.0,3.0,7.0,46.0,28.0,9.0,17.0,0.0,4.0,2.0,15.0,69.0,4.39,48.0,15.0,1.0,3.0,2.0,0.13,1.0,0.0,1.0,0.0,0.0,48.0,24.0,23.0,24.0,1.0,12.0,6.0,6.0,18.0,10.0,1.0,1172.0,22.0,226.0,751.0,215.0,6.0,1172.0,670.0,19.0,21.0,3.0,738.0,26.0,17.0,0.0,28.0,21.0,1.0,0.0,0.0,0.0,150.0,17.0,16.0,51.5
+Domenico Berardi,it ITA,FW,Sassuolo,28-193,1994,13.0,10.0,914.0,4.0,3.0,2.0,3.0,4.0,0.0,0.39,0.3,0.69,0.2,0.49,4.7,2.4,0.47,0.23,10.2,8.0,4.0,18.2,0.79,0.05,0.25,0.05,-0.7,-0.4,301.0,443.0,67.9,5767.0,1545.0,135.0,169.0,79.9,112.0,156.0,71.8,45.0,79.0,57.0,21.0,18.0,27.0,4.0,59.0,409.0,33.0,9.0,5.0,19.0,39.0,21.0,13.0,5.0,0.0,3.0,1.0,17.0,46.0,4.53,35.0,6.0,2.0,1.0,4.0,0.39,4.0,0.0,0.0,0.0,0.0,13.0,10.0,7.0,3.0,3.0,3.0,0.0,3.0,9.0,9.0,0.0,572.0,7.0,58.0,220.0,303.0,44.0,569.0,371.0,23.0,14.0,9.0,445.0,27.0,16.0,0.0,16.0,20.0,5.0,0.0,0.0,0.0,45.0,5.0,11.0,31.3
+Bartosz Bereszyński,pl POL,DF,Sampdoria,30-213,1992,15.0,15.0,1198.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,13.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,471.0,644.0,73.1,6989.0,3219.0,286.0,316.0,90.5,143.0,210.0,68.1,28.0,73.0,38.4,3.0,32.0,10.0,3.0,44.0,480.0,161.0,28.0,0.0,1.0,31.0,0.0,0.0,0.0,0.0,133.0,3.0,19.0,8.0,0.6,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,18.0,15.0,11.0,2.0,18.0,4.0,14.0,21.0,25.0,0.0,759.0,48.0,255.0,317.0,198.0,13.0,759.0,329.0,20.0,16.0,1.0,354.0,12.0,5.0,0.0,13.0,10.0,0.0,0.0,0.0,0.0,68.0,18.0,11.0,62.1
+Beto,gw GNB,FW,Udinese,25-010,1998,21.0,13.0,1203.0,7.0,1.0,0.0,0.0,1.0,0.0,0.52,0.07,0.6,0.52,0.6,6.0,6.0,0.45,0.45,13.4,12.0,0.0,38.7,0.9,0.23,0.58,0.19,1.0,1.0,114.0,184.0,62.0,1449.0,167.0,77.0,110.0,70.0,24.0,40.0,60.0,5.0,10.0,50.0,12.0,6.0,2.0,0.0,6.0,177.0,6.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,25.0,1.87,18.0,0.0,2.0,2.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,13.0,9.0,0.0,8.0,5.0,11.0,1.0,10.0,2.0,15.0,0.0,382.0,18.0,22.0,154.0,210.0,81.0,382.0,220.0,13.0,8.0,10.0,285.0,67.0,27.0,0.0,22.0,16.0,4.0,0.0,0.0,0.0,17.0,45.0,39.0,53.6
+Matteo Bianchetti,it ITA,DF,Cremonese,29-330,1993,15.0,13.0,1243.0,1.0,0.0,0.0,0.0,1.0,0.0,0.07,0.0,0.07,0.07,0.07,0.7,0.7,0.05,0.05,13.8,4.0,0.0,66.7,0.29,0.17,0.25,0.12,0.3,0.3,412.0,537.0,76.7,7922.0,3360.0,148.0,171.0,86.5,216.0,253.0,85.4,42.0,97.0,43.3,4.0,26.0,5.0,1.0,28.0,490.0,44.0,28.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,3.0,5.0,10.0,0.72,6.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,12.0,5.0,1.0,22.0,14.0,8.0,10.0,69.0,0.0,683.0,122.0,406.0,251.0,28.0,10.0,683.0,309.0,4.0,1.0,0.0,341.0,3.0,2.0,0.0,12.0,3.0,0.0,0.0,1.0,0.0,70.0,31.0,22.0,58.5
+Alessandro Bianco,it ITA,MF,Fiorentina,20-132,2002,3.0,2.0,112.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.2,1.0,0.0,50.0,0.8,0.0,0.0,0.03,-0.1,-0.1,46.0,54.0,85.2,826.0,125.0,20.0,24.0,83.3,20.0,24.0,83.3,5.0,5.0,100.0,1.0,9.0,1.0,0.0,6.0,52.0,2.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.41,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,64.0,0.0,10.0,42.0,12.0,1.0,64.0,34.0,3.0,0.0,0.0,47.0,2.0,4.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,50.0
+Jaka Bijol,si SVN,DF,Udinese,24-005,1999,17.0,17.0,1383.0,2.0,0.0,0.0,0.0,4.0,0.0,0.13,0.0,0.13,0.13,0.13,1.3,1.3,0.08,0.08,15.4,3.0,0.0,30.0,0.2,0.2,0.67,0.13,0.7,0.7,536.0,638.0,84.0,11364.0,4105.0,130.0,150.0,86.7,329.0,356.0,92.4,70.0,111.0,63.1,2.0,21.0,0.0,0.0,31.0,620.0,15.0,14.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,7.0,0.46,6.0,0.0,1.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,16.0,10.0,13.0,3.0,0.0,23.0,12.0,11.0,15.0,97.0,0.0,825.0,142.0,478.0,325.0,24.0,17.0,825.0,424.0,2.0,4.0,1.0,441.0,4.0,2.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,72.0,45.0,29.0,60.8
+Cristiano Biraghi,it ITA,DF,Fiorentina,30-162,1992,20.0,19.0,1622.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.11,0.11,0.0,0.11,1.4,0.6,0.08,0.03,18.0,1.0,6.0,7.1,0.06,0.0,0.0,0.04,-1.4,-0.6,934.0,1297.0,72.0,17466.0,6664.0,398.0,448.0,88.8,409.0,513.0,79.7,117.0,283.0,41.3,57.0,80.0,26.0,17.0,109.0,946.0,346.0,55.0,0.0,14.0,203.0,111.0,47.0,46.0,0.0,180.0,5.0,29.0,88.0,4.89,39.0,47.0,1.0,0.0,4.0,0.22,2.0,2.0,0.0,0.0,0.0,39.0,23.0,17.0,20.0,2.0,16.0,5.0,11.0,5.0,26.0,1.0,1429.0,47.0,338.0,571.0,531.0,17.0,1428.0,660.0,44.0,35.0,4.0,796.0,13.0,5.0,0.0,16.0,23.0,1.0,0.0,0.0,0.0,86.0,11.0,16.0,40.7
+Samuele Birindelli,it ITA,DF,Monza,23-206,1999,18.0,10.0,880.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.1,0.1,0.0,0.1,1.0,1.0,0.1,0.1,9.8,3.0,0.0,25.0,0.31,0.0,0.0,0.08,-1.0,-1.0,364.0,500.0,72.8,6286.0,1800.0,173.0,202.0,85.6,154.0,206.0,74.8,31.0,69.0,44.9,14.0,19.0,12.0,9.0,25.0,418.0,82.0,4.0,0.0,3.0,55.0,0.0,0.0,0.0,0.0,78.0,0.0,11.0,26.0,2.66,22.0,0.0,2.0,1.0,4.0,0.41,4.0,0.0,0.0,0.0,0.0,20.0,10.0,12.0,6.0,2.0,17.0,5.0,12.0,12.0,16.0,0.0,614.0,28.0,150.0,247.0,226.0,23.0,614.0,312.0,39.0,23.0,4.0,379.0,17.0,7.0,0.0,8.0,9.0,2.0,0.0,0.0,0.0,48.0,2.0,5.0,28.6
+Kristijan Bistrović,hr CRO,MF,Lecce,24-307,1998,11.0,5.0,461.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.07,0.07,5.1,1.0,4.0,12.5,0.2,0.0,0.0,0.04,-0.3,-0.3,101.0,140.0,72.1,1867.0,682.0,45.0,52.0,86.5,35.0,48.0,72.9,16.0,25.0,64.0,6.0,10.0,2.0,1.0,16.0,119.0,21.0,11.0,0.0,3.0,21.0,7.0,3.0,3.0,0.0,0.0,0.0,6.0,10.0,1.95,3.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,3.0,0.0,3.0,0.0,4.0,0.0,169.0,5.0,29.0,85.0,55.0,3.0,169.0,83.0,4.0,1.0,0.0,99.0,3.0,5.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,15.0,2.0,5.0,28.6
+"Alexis Blin,fr FRA,""MF,DF"",Lecce,26-147,1996,19.0,12.0,1163.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.05,0.05,12.9,1.0,0.0,20.0,0.08,0.0,0.0,0.12,-0.6,-0.6,428.0,534.0,80.1,7071.0,2077.0,204.0,235.0,86.8,168.0,204.0,82.4,35.0,56.0,62.5,7.0,46.0,8.0,2.0,57.0,505.0,28.0,10.0,0.0,6.0,16.0,1.0,1.0,0.0,0.0,8.0,1.0,6.0,17.0,1.32,15.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,13.0,9.0,13.0,7.0,26.0,11.0,15.0,19.0,49.0,0.0,703.0,56.0,217.0,359.0,128.0,10.0,703.0,299.0,12.0,10.0,1.0,375.0,13.0,6.0,0.0,17.0,16.0,0.0,0.0,0.0,0.0,67.0,22.0,38.0,36.7"
+"Jeremie Boga,ci CIV,""MF,FW"",Atalanta,26-038,1997,11.0,3.0,392.0,1.0,5.0,0.0,0.0,0.0,0.0,0.23,1.15,1.38,0.23,1.38,0.7,0.7,0.16,0.16,4.4,2.0,0.0,25.0,0.46,0.13,0.5,0.09,0.3,0.3,170.0,213.0,79.8,2529.0,722.0,98.0,118.0,83.1,45.0,53.0,84.9,15.0,23.0,65.2,21.0,7.0,13.0,4.0,24.0,190.0,22.0,4.0,2.0,0.0,21.0,13.0,10.0,1.0,0.0,5.0,1.0,3.0,31.0,7.14,18.0,8.0,0.0,1.0,6.0,1.38,5.0,0.0,0.0,0.0,1.0,3.0,2.0,2.0,0.0,1.0,3.0,0.0,3.0,0.0,0.0,0.0,277.0,0.0,20.0,101.0,160.0,19.0,277.0,190.0,31.0,28.0,11.0,226.0,19.0,3.0,0.0,3.0,10.0,0.0,0.0,0.0,0.0,13.0,3.0,3.0,50.0"
+Emil Bohinen,no NOR,MF,Salernitana,23-335,1999,10.0,4.0,338.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,156.0,179.0,87.2,2201.0,546.0,92.0,99.0,92.9,51.0,59.0,86.4,7.0,11.0,63.6,5.0,12.0,4.0,1.0,14.0,170.0,9.0,9.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,1.88,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,9.0,2.0,3.0,8.0,3.0,5.0,8.0,5.0,0.0,229.0,13.0,68.0,118.0,47.0,2.0,229.0,119.0,3.0,7.0,0.0,134.0,4.0,4.0,0.0,5.0,6.0,0.0,0.0,0.0,0.0,33.0,1.0,3.0,25.0
+Giacomo Bonaventura,it ITA,MF,Fiorentina,33-172,1989,18.0,16.0,1335.0,3.0,0.0,0.0,0.0,3.0,0.0,0.2,0.0,0.2,0.2,0.2,2.7,2.7,0.18,0.18,14.8,9.0,1.0,25.7,0.61,0.09,0.33,0.08,0.3,0.3,538.0,648.0,83.0,8541.0,1916.0,277.0,309.0,89.6,198.0,228.0,86.8,39.0,62.0,62.9,18.0,38.0,21.0,4.0,71.0,621.0,27.0,14.0,3.0,2.0,27.0,3.0,0.0,3.0,0.0,4.0,0.0,16.0,47.0,3.17,31.0,3.0,5.0,5.0,4.0,0.27,3.0,0.0,0.0,1.0,0.0,27.0,19.0,11.0,12.0,4.0,9.0,0.0,9.0,14.0,4.0,1.0,807.0,10.0,105.0,412.0,308.0,44.0,807.0,516.0,40.0,44.0,6.0,580.0,16.0,19.0,0.0,14.0,32.0,2.0,1.0,0.0,0.0,102.0,9.0,12.0,42.9
+Federico Bonazzoli,it ITA,FW,Salernitana,25-265,1997,19.0,10.0,904.0,2.0,1.0,0.0,0.0,1.0,0.0,0.2,0.1,0.3,0.2,0.3,2.2,2.2,0.22,0.22,10.0,6.0,1.0,21.4,0.6,0.07,0.33,0.08,-0.2,-0.2,207.0,276.0,75.0,3783.0,756.0,96.0,115.0,83.5,75.0,94.0,79.8,30.0,41.0,73.2,8.0,26.0,6.0,0.0,37.0,253.0,22.0,1.0,2.0,12.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,10.0,22.0,2.19,18.0,0.0,2.0,1.0,3.0,0.3,3.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,2.0,6.0,1.0,5.0,3.0,0.0,0.0,390.0,0.0,24.0,209.0,161.0,28.0,390.0,240.0,9.0,9.0,3.0,297.0,37.0,12.0,0.0,12.0,22.0,6.0,0.0,0.0,0.0,30.0,4.0,11.0,26.7
+Warren Bondo,fr FRA,MF,Monza,19-148,2003,4.0,0.0,60.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.09,0.09,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,45.0,51.0,88.2,720.0,106.0,24.0,26.0,92.3,20.0,22.0,90.9,1.0,1.0,100.0,0.0,2.0,0.0,0.0,5.0,48.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,3.0,4.5,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,60.0,0.0,8.0,40.0,13.0,0.0,60.0,45.0,3.0,3.0,0.0,51.0,1.0,1.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
+Kevin Bonifazi,it ITA,DF,Bologna,26-267,1996,7.0,4.0,416.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,4.6,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,215.0,251.0,85.7,4622.0,1533.0,64.0,71.0,90.1,109.0,120.0,90.8,41.0,57.0,71.9,1.0,14.0,0.0,0.0,12.0,242.0,9.0,9.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.65,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,6.0,4.0,2.0,6.0,21.0,0.0,309.0,48.0,171.0,126.0,15.0,4.0,309.0,175.0,3.0,3.0,0.0,208.0,3.0,4.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,28.0,1.0,10.0,9.1
+Leonardo Bonucci,it ITA,DF,Juventus,35-285,1987,9.0,6.0,600.0,1.0,0.0,0.0,1.0,1.0,0.0,0.15,0.0,0.15,0.15,0.15,0.9,0.1,0.14,0.01,6.7,1.0,0.0,50.0,0.15,0.5,1.0,0.05,0.1,0.9,299.0,351.0,85.2,6502.0,2460.0,82.0,89.0,92.1,167.0,184.0,90.8,49.0,75.0,65.3,2.0,23.0,3.0,0.0,16.0,322.0,28.0,10.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,0.9,4.0,0.0,1.0,0.0,1.0,0.15,0.0,0.0,1.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,8.0,6.0,2.0,8.0,22.0,0.0,403.0,67.0,217.0,184.0,6.0,5.0,402.0,219.0,1.0,2.0,0.0,269.0,2.0,0.0,0.0,8.0,4.0,1.0,0.0,0.0,0.0,36.0,11.0,13.0,45.8
+Erik Botheim,no NOR,FW,Salernitana,23-031,2000,15.0,3.0,335.0,1.0,1.0,0.0,0.0,1.0,0.0,0.27,0.27,0.54,0.27,0.54,0.4,0.4,0.1,0.1,3.7,1.0,0.0,25.0,0.27,0.25,1.0,0.09,0.6,0.6,54.0,85.0,63.5,707.0,146.0,28.0,41.0,68.3,17.0,25.0,68.0,2.0,3.0,66.7,6.0,4.0,2.0,0.0,11.0,82.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,9.0,2.43,6.0,0.0,1.0,1.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,2.0,2.0,1.0,0.0,1.0,0.0,1.0,0.0,115.0,1.0,10.0,43.0,63.0,11.0,115.0,59.0,7.0,2.0,0.0,87.0,8.0,5.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,11.0,11.0,13.0,45.8
+Mehdi Bourabia,ma MAR,MF,Spezia,31-187,1991,21.0,20.0,1576.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.11,0.11,0.0,0.11,0.5,0.5,0.03,0.03,17.5,1.0,1.0,7.7,0.06,0.0,0.0,0.04,-0.5,-0.5,603.0,791.0,76.2,9661.0,3293.0,298.0,360.0,82.8,244.0,293.0,83.3,45.0,91.0,49.5,23.0,66.0,21.0,7.0,72.0,740.0,46.0,23.0,4.0,3.0,36.0,19.0,14.0,3.0,0.0,4.0,5.0,19.0,46.0,2.63,35.0,5.0,1.0,1.0,6.0,0.34,6.0,0.0,0.0,0.0,0.0,31.0,13.0,12.0,15.0,4.0,22.0,10.0,12.0,23.0,28.0,0.0,999.0,58.0,279.0,537.0,200.0,8.0,999.0,482.0,20.0,18.0,3.0,550.0,32.0,17.0,0.0,25.0,14.0,1.0,0.0,0.0,0.0,136.0,10.0,14.0,41.7
+Edoardo Bove,it ITA,MF,Roma,20-270,2002,10.0,1.0,179.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.2,0.2,2.0,1.0,0.0,20.0,0.5,0.0,0.0,0.08,-0.4,-0.4,46.0,58.0,79.3,653.0,127.0,29.0,35.0,82.9,14.0,17.0,82.4,2.0,3.0,66.7,1.0,0.0,1.0,0.0,4.0,54.0,4.0,1.0,0.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,1.51,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,3.0,2.0,3.0,4.0,1.0,3.0,1.0,4.0,0.0,94.0,1.0,25.0,42.0,28.0,6.0,94.0,49.0,1.0,2.0,1.0,52.0,9.0,6.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,18.0,1.0,3.0,25.0
+Jayden Braaf,nl NED,MF,Hellas Verona,20-163,2002,1.0,1.0,72.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.2,0.2,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.16,-0.2,-0.2,9.0,12.0,75.0,122.0,38.0,8.0,8.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,28.0,0.0,9.0,8.0,12.0,2.0,28.0,15.0,1.0,0.0,0.0,15.0,3.0,5.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
+Domagoj Bradarić,hr CRO,DF,Salernitana,23-062,1999,16.0,10.0,995.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.09,0.09,0.0,0.09,0.1,0.1,0.01,0.01,11.1,0.0,1.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,372.0,496.0,75.0,6018.0,1830.0,190.0,220.0,86.4,149.0,185.0,80.5,24.0,64.0,37.5,7.0,15.0,10.0,6.0,21.0,388.0,106.0,20.0,0.0,5.0,38.0,3.0,1.0,1.0,0.0,83.0,2.0,14.0,20.0,1.81,15.0,1.0,2.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,10.0,7.0,3.0,6.0,1.0,10.0,2.0,8.0,6.0,18.0,0.0,591.0,23.0,150.0,260.0,189.0,10.0,591.0,309.0,28.0,22.0,4.0,337.0,14.0,6.0,0.0,11.0,8.0,2.0,0.0,0.0,0.0,57.0,4.0,9.0,30.8
+Josip Brekalo,hr CRO,FW,Fiorentina,24-232,1998,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,14.0,19.0,73.7,227.0,114.0,6.0,8.0,75.0,8.0,10.0,80.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,3.0,19.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,14.21,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,0.0,3.0,8.0,12.0,1.0,23.0,14.0,1.0,1.0,0.0,15.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
+Gleison Bremer,br BRA,DF,Juventus,25-329,1997,18.0,18.0,1574.0,1.0,0.0,0.0,0.0,4.0,0.0,0.06,0.0,0.06,0.06,0.06,2.6,2.6,0.15,0.15,17.5,2.0,0.0,11.8,0.11,0.06,0.5,0.16,-1.6,-1.6,907.0,1013.0,89.5,17623.0,5367.0,303.0,321.0,94.4,493.0,529.0,93.2,104.0,148.0,70.3,5.0,18.0,1.0,0.0,21.0,976.0,37.0,12.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,5.0,15.0,0.86,13.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,12.0,13.0,3.0,1.0,31.0,19.0,12.0,28.0,74.0,2.0,1222.0,196.0,714.0,464.0,48.0,28.0,1222.0,672.0,5.0,5.0,0.0,795.0,11.0,4.0,0.0,19.0,7.0,1.0,0.0,1.0,0.0,104.0,40.0,29.0,58.0
+Dylan Bronn,tn TUN,DF,Salernitana,27-236,1995,18.0,14.0,1248.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,13.9,1.0,0.0,14.3,0.07,0.0,0.0,0.08,-0.6,-0.6,638.0,754.0,84.6,11659.0,4597.0,262.0,286.0,91.6,305.0,334.0,91.3,61.0,104.0,58.7,5.0,46.0,4.0,1.0,57.0,708.0,42.0,25.0,1.0,12.0,5.0,0.0,0.0,0.0,0.0,17.0,4.0,5.0,12.0,0.87,10.0,0.0,2.0,0.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,25.0,12.0,13.0,12.0,0.0,25.0,16.0,9.0,18.0,42.0,0.0,900.0,79.0,406.0,456.0,40.0,8.0,900.0,494.0,9.0,6.0,1.0,568.0,5.0,1.0,0.0,19.0,6.0,0.0,0.0,0.0,0.0,80.0,25.0,18.0,58.1
+Marcelo Brozović,hr CRO,MF,Inter,30-086,1992,11.0,7.0,641.0,2.0,0.0,0.0,0.0,5.0,0.0,0.28,0.0,0.28,0.28,0.28,1.6,1.6,0.23,0.23,7.1,4.0,0.0,36.4,0.56,0.18,0.5,0.15,0.4,0.4,425.0,491.0,86.6,7549.0,1967.0,183.0,202.0,90.6,195.0,217.0,89.9,37.0,54.0,68.5,4.0,29.0,3.0,0.0,31.0,463.0,27.0,21.0,1.0,2.0,7.0,6.0,1.0,2.0,0.0,0.0,1.0,4.0,14.0,1.97,8.0,2.0,4.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,10.0,5.0,3.0,7.0,0.0,10.0,3.0,7.0,12.0,10.0,0.0,565.0,28.0,148.0,344.0,78.0,5.0,565.0,354.0,10.0,9.0,2.0,405.0,8.0,1.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,44.0,1.0,4.0,20.0
+"Cristian Buonaiuto,it ITA,""MF,FW"",Cremonese,30-043,1992,16.0,3.0,524.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,1.5,0.26,0.26,5.8,7.0,5.0,29.2,1.2,0.0,0.0,0.06,-1.5,-1.5,168.0,267.0,62.9,2550.0,898.0,88.0,111.0,79.3,60.0,91.0,65.9,11.0,45.0,24.4,10.0,15.0,10.0,2.0,22.0,215.0,51.0,8.0,0.0,2.0,42.0,26.0,15.0,7.0,0.0,10.0,1.0,5.0,34.0,5.82,14.0,5.0,5.0,3.0,1.0,0.17,0.0,0.0,1.0,0.0,0.0,13.0,6.0,3.0,5.0,5.0,8.0,0.0,8.0,9.0,3.0,0.0,367.0,5.0,35.0,140.0,197.0,29.0,367.0,204.0,16.0,16.0,4.0,224.0,20.0,12.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,43.0,3.0,12.0,20.0"
+Alessandro Buongiorno,it ITA,DF,Torino,23-249,1999,17.0,15.0,1356.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.07,0.07,15.1,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-1.1,-1.1,567.0,688.0,82.4,9441.0,3117.0,240.0,274.0,87.6,295.0,337.0,87.5,20.0,46.0,43.5,2.0,35.0,2.0,1.0,45.0,668.0,17.0,12.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,3.0,3.0,11.0,10.0,0.66,8.0,0.0,0.0,1.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,19.0,10.0,11.0,8.0,0.0,18.0,10.0,8.0,33.0,49.0,2.0,880.0,78.0,371.0,460.0,53.0,17.0,880.0,433.0,6.0,10.0,1.0,495.0,22.0,5.0,0.0,35.0,19.0,0.0,0.0,0.0,0.0,86.0,51.0,19.0,72.9
+Juan Cabal,co COL,DF,Hellas Verona,22-033,2001,3.0,0.0,57.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,27.0,66.7,286.0,115.0,10.0,12.0,83.3,7.0,9.0,77.8,1.0,5.0,20.0,1.0,3.0,1.0,1.0,3.0,24.0,3.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,3.0,4.82,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,35.0,7.0,15.0,18.0,4.0,0.0,35.0,17.0,0.0,1.0,0.0,16.0,2.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,9.0,0.0,4.0,0.0
+Liberato Cacace,nz NZL,DF,Empoli,22-136,2000,4.0,2.0,209.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,102.0,134.0,76.1,1565.0,589.0,52.0,58.0,89.7,44.0,60.0,73.3,3.0,9.0,33.3,2.0,8.0,0.0,0.0,10.0,105.0,29.0,3.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,26.0,0.0,2.0,7.0,3.03,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,5.0,7.0,4.0,2.0,7.0,3.0,4.0,2.0,3.0,0.0,179.0,11.0,56.0,79.0,47.0,5.0,179.0,77.0,12.0,9.0,2.0,88.0,2.0,2.0,0.0,4.0,2.0,0.0,0.0,1.0,0.0,12.0,2.0,9.0,18.2
+Davide Calabria,it ITA,DF,Milan,26-066,1996,13.0,13.0,998.0,1.0,2.0,0.0,0.0,4.0,0.0,0.09,0.18,0.27,0.09,0.27,0.9,0.9,0.08,0.08,11.1,1.0,0.0,14.3,0.09,0.14,1.0,0.13,0.1,0.1,583.0,727.0,80.2,10284.0,3737.0,248.0,266.0,93.2,264.0,302.0,87.4,58.0,127.0,45.7,9.0,36.0,11.0,8.0,54.0,606.0,117.0,10.0,0.0,2.0,29.0,5.0,0.0,5.0,0.0,102.0,4.0,13.0,18.0,1.62,16.0,1.0,0.0,1.0,3.0,0.27,2.0,0.0,0.0,1.0,0.0,50.0,26.0,23.0,21.0,6.0,13.0,4.0,9.0,17.0,20.0,0.0,849.0,42.0,270.0,421.0,169.0,9.0,849.0,427.0,15.0,15.0,1.0,511.0,6.0,3.0,0.0,10.0,9.0,1.0,1.0,1.0,0.0,67.0,5.0,7.0,41.7
+Mattia Caldara,it ITA,DF,Spezia,28-281,1994,14.0,10.0,969.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,10.8,2.0,0.0,25.0,0.19,0.0,0.0,0.06,-0.5,-0.5,353.0,458.0,77.1,6280.0,2385.0,143.0,170.0,84.1,170.0,209.0,81.3,33.0,65.0,50.8,1.0,15.0,1.0,0.0,25.0,412.0,44.0,22.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,8.0,2.0,4.0,5.0,0.46,5.0,0.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,19.0,11.0,9.0,8.0,2.0,15.0,9.0,6.0,14.0,64.0,2.0,600.0,100.0,335.0,237.0,37.0,13.0,600.0,289.0,5.0,2.0,0.0,274.0,5.0,4.0,0.0,14.0,9.0,0.0,0.0,0.0,0.0,71.0,25.0,19.0,56.8
+Luca Caldirola,it ITA,DF,Monza,32-009,1991,17.0,15.0,1312.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,14.6,1.0,0.0,20.0,0.07,0.0,0.0,0.13,-0.6,-0.6,732.0,833.0,87.9,13220.0,5285.0,300.0,315.0,95.2,355.0,391.0,90.8,66.0,101.0,65.3,3.0,35.0,3.0,0.0,45.0,796.0,36.0,25.0,1.0,6.0,3.0,0.0,0.0,0.0,0.0,4.0,1.0,5.0,8.0,0.55,8.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,14.0,7.0,8.0,3.0,3.0,15.0,7.0,8.0,14.0,33.0,0.0,939.0,110.0,463.0,428.0,52.0,7.0,939.0,554.0,9.0,7.0,0.0,677.0,2.0,1.0,0.0,18.0,15.0,0.0,0.0,0.0,0.0,56.0,26.0,17.0,60.5
+Hakan Çalhanoğlu,tr TUR,MF,Inter,29-002,1994,20.0,19.0,1527.0,2.0,5.0,1.0,1.0,2.0,0.0,0.12,0.29,0.41,0.06,0.35,1.9,1.1,0.11,0.06,17.0,7.0,6.0,25.0,0.41,0.04,0.14,0.04,0.1,-0.1,824.0,988.0,83.4,14979.0,4469.0,366.0,401.0,91.3,335.0,380.0,88.2,98.0,157.0,62.4,44.0,88.0,22.0,7.0,98.0,880.0,105.0,44.0,4.0,14.0,88.0,57.0,17.0,36.0,0.0,4.0,3.0,6.0,74.0,4.36,43.0,24.0,3.0,3.0,8.0,0.47,5.0,3.0,0.0,0.0,0.0,35.0,19.0,12.0,19.0,4.0,22.0,4.0,18.0,19.0,8.0,1.0,1160.0,25.0,237.0,617.0,318.0,15.0,1159.0,662.0,24.0,21.0,2.0,754.0,21.0,7.0,0.0,31.0,19.0,1.0,0.0,0.0,0.0,127.0,11.0,12.0,47.8
+Mohamed Camara,gn GUI,MF,Roma,25-347,1997,9.0,5.0,377.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,4.2,0.0,1.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,145.0,186.0,78.0,2404.0,466.0,70.0,79.0,88.6,63.0,75.0,84.0,10.0,18.0,55.6,2.0,16.0,2.0,1.0,16.0,183.0,2.0,2.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,7.0,1.67,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,9.0,3.0,6.0,1.0,1.0,0.0,1.0,5.0,4.0,0.0,219.0,7.0,39.0,149.0,39.0,1.0,219.0,138.0,10.0,5.0,1.0,138.0,3.0,5.0,0.0,9.0,5.0,0.0,0.0,0.0,0.0,35.0,2.0,4.0,33.3
+"Nicolò Cambiaghi,it ITA,""FW,MF"",Empoli,22-044,2000,15.0,2.0,430.0,1.0,1.0,0.0,0.0,1.0,0.0,0.21,0.21,0.42,0.21,0.42,1.6,1.6,0.33,0.33,4.8,4.0,0.0,36.4,0.84,0.09,0.25,0.14,-0.6,-0.6,123.0,163.0,75.5,1735.0,453.0,75.0,86.0,87.2,31.0,43.0,72.1,8.0,11.0,72.7,4.0,10.0,5.0,0.0,18.0,158.0,5.0,1.0,0.0,0.0,14.0,1.0,0.0,0.0,0.0,2.0,0.0,10.0,19.0,3.99,9.0,1.0,3.0,3.0,4.0,0.84,1.0,1.0,1.0,0.0,0.0,12.0,9.0,6.0,3.0,3.0,6.0,1.0,5.0,3.0,5.0,0.0,235.0,8.0,42.0,85.0,115.0,20.0,235.0,167.0,23.0,10.0,8.0,169.0,14.0,9.0,0.0,7.0,19.0,0.0,0.0,0.0,0.0,24.0,2.0,4.0,33.3"
+Andrea Cambiaso,it ITA,DF,Bologna,22-355,2000,19.0,13.0,1150.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.16,0.16,0.0,0.16,0.5,0.5,0.04,0.04,12.8,1.0,0.0,14.3,0.08,0.0,0.0,0.08,-0.5,-0.5,549.0,697.0,78.8,8182.0,3028.0,311.0,347.0,89.6,192.0,232.0,82.8,30.0,73.0,41.1,15.0,26.0,13.0,6.0,41.0,563.0,132.0,11.0,0.0,2.0,35.0,1.0,1.0,0.0,0.0,120.0,2.0,22.0,28.0,2.19,22.0,3.0,0.0,1.0,5.0,0.39,5.0,0.0,0.0,0.0,0.0,33.0,18.0,20.0,12.0,1.0,14.0,2.0,12.0,18.0,19.0,1.0,859.0,41.0,281.0,383.0,208.0,19.0,859.0,468.0,33.0,30.0,8.0,503.0,25.0,11.0,0.0,17.0,19.0,4.0,0.0,0.0,0.0,87.0,3.0,11.0,21.4
+Matteo Cancellieri,it ITA,FW,Lazio,20-363,2002,14.0,1.0,208.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.14,0.14,2.3,1.0,0.0,25.0,0.43,0.0,0.0,0.08,-0.3,-0.3,55.0,75.0,73.3,690.0,97.0,39.0,44.0,88.6,14.0,21.0,66.7,0.0,5.0,0.0,3.0,1.0,1.0,1.0,2.0,74.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,5.0,2.17,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,1.0,2.0,3.0,0.0,3.0,1.0,2.0,0.0,109.0,2.0,18.0,42.0,51.0,13.0,109.0,68.0,12.0,6.0,7.0,76.0,9.0,2.0,0.0,11.0,5.0,4.0,0.0,0.0,0.0,13.0,4.0,1.0,80.0
+"Antonio Candreva,it ITA,""DF,MF"",Salernitana,35-347,1987,20.0,18.0,1613.0,2.0,1.0,0.0,0.0,3.0,1.0,0.11,0.06,0.17,0.11,0.17,1.5,1.5,0.08,0.08,17.9,9.0,2.0,39.1,0.5,0.09,0.22,0.06,0.5,0.5,724.0,1004.0,72.1,12768.0,4698.0,358.0,388.0,92.3,271.0,370.0,73.2,78.0,183.0,42.6,30.0,72.0,28.0,15.0,91.0,829.0,172.0,28.0,4.0,19.0,134.0,36.0,3.0,18.0,0.0,106.0,3.0,31.0,51.0,2.84,35.0,10.0,4.0,2.0,5.0,0.28,3.0,1.0,1.0,0.0,0.0,8.0,2.0,8.0,0.0,0.0,5.0,2.0,3.0,16.0,25.0,0.0,1125.0,38.0,222.0,489.0,426.0,22.0,1125.0,640.0,44.0,26.0,4.0,786.0,16.0,6.0,1.0,3.0,13.0,4.0,0.0,1.0,0.0,81.0,0.0,0.0,0.0"
+"Gianluca Caprari,it ITA,""MF,FW"",Monza,29-195,1993,21.0,18.0,1327.0,4.0,1.0,1.0,1.0,4.0,0.0,0.27,0.07,0.34,0.2,0.27,4.2,3.4,0.28,0.23,14.7,8.0,0.0,24.2,0.54,0.09,0.38,0.1,-0.2,-0.4,477.0,597.0,79.9,6960.0,1211.0,297.0,334.0,88.9,132.0,173.0,76.3,31.0,46.0,67.4,15.0,29.0,13.0,3.0,44.0,568.0,26.0,4.0,2.0,7.0,37.0,14.0,1.0,11.0,0.0,3.0,3.0,16.0,40.0,2.71,30.0,5.0,3.0,1.0,8.0,0.54,6.0,1.0,0.0,1.0,0.0,10.0,4.0,3.0,6.0,1.0,11.0,1.0,10.0,2.0,1.0,0.0,764.0,4.0,59.0,364.0,346.0,69.0,763.0,509.0,56.0,23.0,22.0,621.0,51.0,18.0,0.0,24.0,26.0,6.0,0.0,0.0,0.0,55.0,4.0,11.0,26.7"
+Francesco Caputo,it ITA,FW,Sampdoria,35-188,1987,15.0,13.0,1094.0,1.0,0.0,0.0,0.0,0.0,0.0,0.08,0.0,0.08,0.08,0.08,1.9,1.9,0.15,0.15,12.2,5.0,0.0,26.3,0.41,0.05,0.2,0.1,-0.9,-0.9,168.0,237.0,70.9,2130.0,315.0,96.0,130.0,73.8,43.0,60.0,71.7,8.0,10.0,80.0,9.0,11.0,4.0,0.0,11.0,208.0,28.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,9.0,23.0,1.89,17.0,0.0,3.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,3.0,0.0,309.0,4.0,11.0,126.0,172.0,49.0,309.0,181.0,6.0,4.0,7.0,243.0,21.0,14.0,0.0,5.0,24.0,11.0,0.0,0.0,0.0,18.0,6.0,21.0,22.2
+"Francesco Caputo,it ITA,""FW,MF"",Empoli,35-188,1987,6.0,6.0,503.0,1.0,2.0,0.0,0.0,1.0,0.0,0.18,0.36,0.54,0.18,0.54,1.4,1.4,0.26,0.26,5.6,4.0,0.0,30.8,0.72,0.08,0.25,0.11,-0.4,-0.4,88.0,119.0,73.9,1018.0,244.0,65.0,79.0,82.3,18.0,23.0,78.3,0.0,1.0,0.0,8.0,2.0,2.0,0.0,8.0,118.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,10.0,1.8,8.0,0.0,1.0,1.0,2.0,0.36,2.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,4.0,2.0,2.0,0.0,2.0,0.0,169.0,3.0,15.0,76.0,78.0,32.0,169.0,102.0,4.0,2.0,2.0,144.0,13.0,8.0,0.0,8.0,10.0,6.0,0.0,0.0,0.0,11.0,5.0,5.0,50.0"
+Andrea Carboni,it ITA,DF,Monza,22-006,2001,4.0,1.0,167.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,1.9,1.0,0.0,100.0,0.54,0.0,0.0,0.05,-0.1,-0.1,69.0,87.0,79.3,1170.0,558.0,33.0,38.0,86.8,29.0,31.0,93.5,7.0,14.0,50.0,1.0,3.0,2.0,2.0,9.0,74.0,13.0,1.0,0.0,1.0,5.0,1.0,0.0,1.0,0.0,11.0,0.0,3.0,3.0,1.62,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,3.0,2.0,1.0,3.0,2.0,1.0,104.0,4.0,41.0,43.0,20.0,4.0,104.0,50.0,4.0,2.0,0.0,66.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,0.0
+"Valentin Carboni,it ITA,""MF,FW"",Inter,17-342,2005,2.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,62.5,96.0,9.0,2.0,2.0,100.0,2.0,4.0,50.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,9.0,0.0,1.0,5.0,3.0,0.0,9.0,7.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0"
+Carlos,br BRA,DF,Monza,24-034,1999,20.0,20.0,1759.0,4.0,3.0,0.0,0.0,2.0,0.0,0.2,0.15,0.36,0.2,0.36,2.1,2.1,0.11,0.11,19.5,9.0,0.0,36.0,0.46,0.16,0.44,0.09,1.9,1.9,837.0,1019.0,82.1,13099.0,4143.0,432.0,472.0,91.5,336.0,398.0,84.4,43.0,77.0,55.8,11.0,44.0,16.0,2.0,56.0,826.0,188.0,12.0,2.0,3.0,34.0,0.0,0.0,0.0,0.0,171.0,5.0,29.0,31.0,1.59,24.0,2.0,2.0,1.0,5.0,0.26,4.0,0.0,1.0,0.0,0.0,32.0,17.0,18.0,9.0,5.0,13.0,4.0,9.0,11.0,46.0,1.0,1208.0,69.0,391.0,519.0,310.0,38.0,1208.0,597.0,50.0,45.0,7.0,739.0,23.0,15.0,0.0,29.0,12.0,2.0,0.0,0.0,0.0,93.0,33.0,19.0,63.5
+Marco Carnesecchi,it ITA,GK,Cremonese,22-224,2000,12.0,12.0,1080.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,246.0,385.0,63.9,7332.0,5539.0,40.0,40.0,100.0,115.0,118.0,97.5,85.0,219.0,38.8,0.0,11.0,0.0,0.0,0.0,257.0,126.0,40.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,0.33,2.0,2.0,0.0,0.0,1.0,0.08,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,418.0,373.0,418.0,0.0,0.0,0.0,418.0,220.0,0.0,0.0,0.0,155.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,12.0,1.0,0.0,100.0
+Nicolò Casale,it ITA,DF,Lazio,24-361,1998,14.0,14.0,1225.0,1.0,1.0,0.0,0.0,4.0,0.0,0.07,0.07,0.15,0.07,0.15,0.6,0.6,0.04,0.04,13.6,2.0,0.0,28.6,0.15,0.14,0.5,0.08,0.4,0.4,693.0,755.0,91.8,11950.0,4351.0,287.0,308.0,93.2,319.0,339.0,94.1,59.0,73.0,80.8,3.0,20.0,1.0,0.0,33.0,702.0,53.0,50.0,2.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,6.0,0.44,4.0,1.0,1.0,0.0,2.0,0.15,1.0,0.0,1.0,0.0,0.0,29.0,13.0,17.0,12.0,0.0,9.0,6.0,3.0,9.0,40.0,0.0,864.0,122.0,427.0,425.0,19.0,12.0,864.0,494.0,8.0,1.0,0.0,553.0,4.0,1.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,75.0,23.0,18.0,56.1
+Michele Castagnetti,it ITA,MF,Cremonese,33-045,1989,14.0,7.0,683.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,7.6,1.0,0.0,16.7,0.13,0.0,0.0,0.04,-0.3,-0.3,287.0,394.0,72.8,5098.0,2145.0,120.0,149.0,80.5,133.0,176.0,75.6,28.0,55.0,50.9,17.0,45.0,12.0,2.0,62.0,352.0,41.0,23.0,1.0,5.0,24.0,11.0,7.0,4.0,0.0,6.0,1.0,7.0,30.0,3.95,27.0,3.0,0.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,22.0,11.0,9.0,12.0,1.0,6.0,2.0,4.0,6.0,12.0,0.0,458.0,17.0,104.0,258.0,103.0,6.0,458.0,207.0,9.0,5.0,0.0,253.0,9.0,0.0,0.0,10.0,7.0,0.0,0.0,0.0,0.0,60.0,6.0,7.0,46.2
+Gaetano Castrovilli,it ITA,MF,Fiorentina,25-358,1997,3.0,0.0,56.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.24,0.24,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,23.0,24.0,95.8,314.0,75.0,16.0,17.0,94.1,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,1.0,0.0,2.0,23.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,3.21,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,0.0,6.0,12.0,15.0,2.0,33.0,19.0,2.0,2.0,0.0,18.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,2.0,33.3
+Danilo Cataldi,it ITA,MF,Lazio,28-188,1994,19.0,18.0,1340.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.07,0.07,0.0,0.07,0.2,0.2,0.01,0.01,14.9,1.0,1.0,16.7,0.07,0.0,0.0,0.03,-0.2,-0.2,780.0,919.0,84.9,12059.0,4352.0,446.0,485.0,92.0,235.0,278.0,84.5,69.0,108.0,63.9,14.0,64.0,5.0,0.0,61.0,850.0,65.0,31.0,0.0,3.0,43.0,32.0,6.0,19.0,0.0,2.0,4.0,10.0,30.0,2.01,16.0,13.0,1.0,0.0,2.0,0.13,1.0,0.0,1.0,0.0,0.0,20.0,12.0,5.0,13.0,2.0,14.0,8.0,6.0,18.0,22.0,0.0,1039.0,59.0,278.0,642.0,126.0,0.0,1039.0,550.0,6.0,7.0,0.0,710.0,4.0,5.0,0.0,10.0,16.0,0.0,0.0,0.0,0.0,116.0,1.0,4.0,20.0
+Federico Ceccherini,it ITA,DF,Hellas Verona,30-275,1992,15.0,14.0,1033.0,1.0,0.0,0.0,0.0,7.0,1.0,0.09,0.0,0.09,0.09,0.09,0.7,0.7,0.06,0.06,11.5,1.0,0.0,20.0,0.09,0.2,1.0,0.14,0.3,0.3,359.0,475.0,75.6,6432.0,2602.0,152.0,172.0,88.4,164.0,199.0,82.4,37.0,76.0,48.7,4.0,38.0,4.0,0.0,43.0,431.0,44.0,13.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,28.0,0.0,14.0,11.0,0.95,8.0,1.0,0.0,0.0,1.0,0.09,0.0,0.0,0.0,0.0,1.0,18.0,14.0,10.0,7.0,1.0,11.0,4.0,7.0,10.0,37.0,0.0,585.0,62.0,216.0,298.0,76.0,10.0,585.0,269.0,20.0,12.0,2.0,303.0,11.0,5.0,0.0,26.0,14.0,0.0,0.0,0.0,0.0,74.0,21.0,12.0,63.6
+Assan Ceesay,gm GAM,FW,Lecce,28-330,1994,18.0,10.0,929.0,3.0,0.0,0.0,0.0,1.0,0.0,0.29,0.0,0.29,0.29,0.29,2.7,2.7,0.27,0.27,10.3,4.0,0.0,16.7,0.39,0.13,0.75,0.11,0.3,0.3,118.0,196.0,60.2,1761.0,262.0,58.0,97.0,59.8,42.0,60.0,70.0,9.0,12.0,75.0,3.0,5.0,2.0,0.0,12.0,181.0,14.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,4.0,1.0,5.0,18.0,1.74,12.0,0.0,1.0,3.0,2.0,0.19,1.0,0.0,0.0,0.0,0.0,16.0,13.0,6.0,5.0,5.0,9.0,1.0,8.0,1.0,18.0,0.0,336.0,22.0,51.0,142.0,146.0,44.0,336.0,151.0,11.0,7.0,6.0,207.0,34.0,12.0,0.0,17.0,19.0,10.0,0.0,0.0,0.0,24.0,35.0,30.0,53.8
+Emil Ceide,no NOR,FW,Sassuolo,21-160,2001,12.0,3.0,312.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,67.0,96.0,69.8,945.0,291.0,40.0,49.0,81.6,20.0,28.0,71.4,3.0,5.0,60.0,6.0,3.0,7.0,1.0,11.0,95.0,1.0,0.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,13.0,3.77,11.0,0.0,0.0,1.0,2.0,0.58,0.0,0.0,0.0,1.0,0.0,4.0,1.0,4.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,132.0,0.0,16.0,37.0,79.0,24.0,132.0,91.0,22.0,6.0,14.0,99.0,6.0,5.0,0.0,3.0,5.0,0.0,1.0,0.0,0.0,11.0,1.0,3.0,25.0
+Zeki Çelik,tr TUR,DF,Roma,25-358,1997,15.0,10.0,992.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,11.0,1.0,0.0,25.0,0.09,0.0,0.0,0.08,-0.3,-0.3,454.0,597.0,76.0,7132.0,3018.0,239.0,271.0,88.2,164.0,205.0,80.0,34.0,72.0,47.2,13.0,32.0,14.0,3.0,41.0,475.0,120.0,10.0,0.0,2.0,24.0,0.0,0.0,0.0,0.0,110.0,2.0,10.0,29.0,2.63,23.0,3.0,1.0,1.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,34.0,16.0,17.0,15.0,2.0,22.0,5.0,17.0,12.0,28.0,1.0,721.0,30.0,241.0,306.0,184.0,15.0,721.0,333.0,23.0,18.0,5.0,389.0,12.0,11.0,0.0,17.0,5.0,1.0,0.0,0.0,0.0,64.0,8.0,7.0,53.3
+"Federico Chiesa,it ITA,""DF,FW"",Juventus,25-108,1997,7.0,1.0,241.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.75,0.75,0.0,0.75,0.4,0.4,0.16,0.16,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.4,-0.4,83.0,112.0,74.1,1209.0,349.0,45.0,53.0,84.9,31.0,43.0,72.1,2.0,4.0,50.0,5.0,8.0,3.0,1.0,7.0,93.0,19.0,1.0,1.0,0.0,11.0,3.0,0.0,1.0,0.0,15.0,0.0,5.0,9.0,3.36,6.0,1.0,0.0,0.0,2.0,0.75,2.0,0.0,0.0,0.0,0.0,8.0,5.0,4.0,2.0,2.0,2.0,1.0,1.0,0.0,1.0,0.0,144.0,4.0,23.0,57.0,68.0,9.0,144.0,77.0,12.0,8.0,5.0,89.0,6.0,4.0,0.0,4.0,2.0,1.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0"
+Vlad Chiricheș,ro ROU,DF,Cremonese,33-088,1989,8.0,8.0,595.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,216.0,252.0,85.7,4192.0,1938.0,78.0,85.0,91.8,106.0,118.0,89.8,27.0,40.0,67.5,1.0,8.0,0.0,0.0,5.0,240.0,12.0,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.61,4.0,0.0,0.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,24.0,14.0,18.0,5.0,1.0,19.0,11.0,8.0,16.0,22.0,0.0,337.0,67.0,218.0,117.0,5.0,2.0,337.0,153.0,2.0,2.0,0.0,175.0,1.0,3.0,0.0,12.0,4.0,0.0,0.0,0.0,1.0,43.0,10.0,17.0,37.0
+Daniel Ciofani,it ITA,FW,Cremonese,37-194,1985,18.0,5.0,464.0,3.0,0.0,1.0,2.0,0.0,0.0,0.58,0.0,0.58,0.39,0.39,2.6,0.9,0.5,0.17,5.2,6.0,0.0,42.9,1.16,0.14,0.33,0.06,0.4,1.1,50.0,87.0,57.5,725.0,264.0,28.0,39.0,71.8,13.0,25.0,52.0,5.0,8.0,62.5,5.0,6.0,3.0,0.0,5.0,84.0,2.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,12.0,2.33,8.0,0.0,2.0,1.0,2.0,0.39,1.0,0.0,1.0,0.0,0.0,4.0,2.0,1.0,1.0,2.0,3.0,0.0,3.0,0.0,2.0,0.0,140.0,3.0,10.0,52.0,78.0,32.0,138.0,62.0,3.0,5.0,0.0,100.0,14.0,5.0,0.0,3.0,7.0,3.0,0.0,0.0,0.0,13.0,21.0,29.0,42.0
+"Tio Cipot,si SVN,""DF,FW"",Spezia,19-296,2003,2.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,0.4,1.0,0.0,100.0,2.31,0.0,0.0,0.02,0.0,0.0,13.0,18.0,72.2,188.0,46.0,5.0,7.0,71.4,7.0,8.0,87.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,15.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,25.0,1.0,3.0,13.0,10.0,2.0,25.0,15.0,1.0,0.0,0.0,19.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0"
+"Patrick Ciurria,it ITA,""DF,MF"",Monza,28-001,1995,19.0,14.0,1245.0,3.0,4.0,0.0,0.0,2.0,0.0,0.22,0.29,0.51,0.22,0.51,2.4,2.4,0.17,0.17,13.8,8.0,0.0,34.8,0.58,0.13,0.38,0.1,0.6,0.6,491.0,611.0,80.4,7772.0,2421.0,260.0,290.0,89.7,176.0,227.0,77.5,38.0,61.0,62.3,21.0,30.0,20.0,10.0,40.0,513.0,96.0,6.0,1.0,1.0,41.0,11.0,0.0,7.0,0.0,79.0,2.0,6.0,37.0,2.67,27.0,4.0,3.0,2.0,3.0,0.22,3.0,0.0,0.0,0.0,0.0,20.0,9.0,12.0,8.0,0.0,13.0,1.0,12.0,2.0,13.0,0.0,752.0,16.0,167.0,315.0,276.0,27.0,752.0,377.0,31.0,23.0,5.0,484.0,28.0,10.0,0.0,13.0,19.0,3.0,0.0,0.0,0.0,60.0,5.0,6.0,45.5"
+Omar Colley,gm GAM,DF,Sampdoria,30-109,1992,16.0,15.0,1384.0,1.0,0.0,0.0,0.0,5.0,0.0,0.07,0.0,0.07,0.07,0.07,1.2,1.2,0.08,0.08,15.4,4.0,0.0,66.7,0.26,0.17,0.25,0.2,-0.2,-0.2,615.0,714.0,86.1,12155.0,4061.0,165.0,186.0,88.7,380.0,412.0,92.2,58.0,96.0,60.4,0.0,38.0,1.0,0.0,33.0,681.0,32.0,22.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,5.0,0.33,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,10.0,8.0,0.0,9.0,5.0,4.0,22.0,69.0,1.0,861.0,107.0,451.0,391.0,20.0,9.0,861.0,512.0,3.0,1.0,0.0,517.0,4.0,2.0,0.0,15.0,18.0,1.0,0.0,0.0,0.0,74.0,27.0,30.0,47.4
+Lorenzo Colombo,it ITA,FW,Lecce,20-339,2002,19.0,11.0,921.0,4.0,2.0,0.0,1.0,3.0,0.0,0.39,0.2,0.59,0.39,0.59,4.2,3.4,0.41,0.33,10.2,8.0,0.0,29.6,0.78,0.15,0.5,0.13,-0.2,0.6,142.0,220.0,64.5,1643.0,335.0,98.0,124.0,79.0,23.0,37.0,62.2,5.0,17.0,29.4,11.0,12.0,3.0,0.0,16.0,211.0,7.0,0.0,0.0,5.0,6.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,21.0,2.05,16.0,0.0,4.0,0.0,2.0,0.2,1.0,0.0,1.0,0.0,0.0,12.0,4.0,0.0,6.0,6.0,12.0,0.0,12.0,2.0,4.0,0.0,384.0,4.0,12.0,177.0,197.0,49.0,383.0,208.0,7.0,8.0,1.0,279.0,53.0,29.0,0.0,27.0,8.0,6.0,0.0,0.0,0.0,24.0,21.0,73.0,22.3
+Andrea Colpani,it ITA,MF,Monza,23-275,1999,15.0,4.0,481.0,2.0,0.0,0.0,0.0,1.0,0.0,0.37,0.0,0.37,0.37,0.37,1.0,1.0,0.19,0.19,5.3,3.0,0.0,25.0,0.56,0.17,0.67,0.08,1.0,1.0,172.0,217.0,79.3,2825.0,609.0,91.0,103.0,88.3,59.0,71.0,83.1,16.0,28.0,57.1,8.0,17.0,9.0,2.0,27.0,198.0,15.0,3.0,1.0,5.0,15.0,11.0,3.0,8.0,0.0,1.0,4.0,2.0,16.0,2.98,12.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,1.0,1.0,10.0,1.0,9.0,3.0,2.0,0.0,285.0,2.0,28.0,129.0,135.0,15.0,285.0,191.0,12.0,14.0,1.0,208.0,12.0,8.0,0.0,12.0,13.0,0.0,0.0,0.0,0.0,34.0,1.0,9.0,10.0
+Andrea Consigli,it ITA,GK,Sassuolo,36-014,1987,19.0,19.0,1710.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,676.0,859.0,78.7,19486.0,12248.0,107.0,107.0,100.0,274.0,277.0,98.9,293.0,472.0,62.1,0.0,11.0,0.0,0.0,1.0,622.0,236.0,64.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,0.32,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,894.0,696.0,884.0,9.0,1.0,0.0,894.0,510.0,0.0,0.0,0.0,458.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,22.0,6.0,0.0,100.0
+Andrea Conti,it ITA,DF,Sampdoria,28-345,1994,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,11.0,54.5,76.0,25.0,5.0,7.0,71.4,1.0,3.0,33.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,8.0,3.0,0.0,11.0,4.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Diego Coppola,it ITA,DF,Hellas Verona,19-044,2003,8.0,7.0,619.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.3,-0.3,228.0,315.0,72.4,4260.0,1960.0,85.0,103.0,82.5,121.0,152.0,79.6,19.0,47.0,40.4,0.0,20.0,3.0,1.0,25.0,270.0,42.0,3.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,39.0,3.0,3.0,7.0,1.02,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,6.0,8.0,0.0,13.0,4.0,9.0,7.0,21.0,0.0,388.0,36.0,174.0,175.0,43.0,4.0,388.0,174.0,6.0,7.0,1.0,183.0,3.0,1.0,0.0,7.0,0.0,0.0,0.0,1.0,0.0,41.0,15.0,18.0,45.5
+Joaquín Correa,ar ARG,FW,Inter,28-181,1994,17.0,4.0,436.0,3.0,1.0,0.0,0.0,1.0,0.0,0.62,0.21,0.83,0.62,0.83,2.1,2.1,0.44,0.44,4.8,5.0,0.0,55.6,1.03,0.33,0.6,0.24,0.9,0.9,90.0,122.0,73.8,1388.0,270.0,46.0,57.0,80.7,31.0,37.0,83.8,7.0,7.0,100.0,5.0,8.0,1.0,0.0,8.0,118.0,2.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,8.0,14.0,2.9,9.0,0.0,3.0,2.0,3.0,0.62,3.0,0.0,0.0,0.0,0.0,7.0,4.0,1.0,4.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,181.0,1.0,10.0,89.0,86.0,18.0,181.0,117.0,5.0,8.0,6.0,143.0,22.0,12.0,0.0,6.0,10.0,1.0,0.0,0.0,0.0,16.0,4.0,9.0,30.8
+Alessandro Cortinovis,it ITA,MF,Hellas Verona,22-016,2001,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,77.0,35.0,3.0,3.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,2.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,8.0,0.0,3.0,0.0,5.0,0.0,8.0,5.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0
+Lassana Coulibaly,ml MLI,MF,Salernitana,26-306,1996,19.0,19.0,1572.0,1.0,2.0,0.0,0.0,6.0,0.0,0.06,0.11,0.17,0.06,0.17,0.4,0.4,0.02,0.02,17.5,3.0,0.0,37.5,0.17,0.13,0.33,0.05,0.6,0.6,507.0,607.0,83.5,7695.0,2236.0,257.0,291.0,88.3,208.0,234.0,88.9,19.0,39.0,48.7,11.0,51.0,6.0,1.0,60.0,597.0,9.0,8.0,2.0,2.0,8.0,0.0,0.0,0.0,0.0,1.0,1.0,16.0,34.0,1.95,29.0,1.0,0.0,3.0,5.0,0.29,5.0,0.0,0.0,0.0,0.0,53.0,28.0,26.0,22.0,5.0,19.0,2.0,17.0,9.0,15.0,2.0,808.0,40.0,198.0,479.0,151.0,11.0,808.0,469.0,28.0,20.0,5.0,502.0,35.0,16.0,0.0,29.0,22.0,1.0,0.0,0.0,0.0,111.0,11.0,17.0,39.3
+Bryan Cristante,it ITA,MF,Roma,27-344,1995,21.0,21.0,1749.0,1.0,0.0,0.0,0.0,4.0,0.0,0.05,0.0,0.05,0.05,0.05,1.1,1.1,0.06,0.06,19.4,3.0,0.0,17.6,0.15,0.06,0.33,0.06,-0.1,-0.1,843.0,1034.0,81.5,15634.0,4759.0,363.0,405.0,89.6,346.0,398.0,86.9,112.0,186.0,60.2,9.0,108.0,12.0,3.0,99.0,991.0,39.0,37.0,6.0,22.0,8.0,0.0,0.0,0.0,0.0,2.0,4.0,12.0,28.0,1.44,27.0,0.0,1.0,0.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,71.0,35.0,33.0,31.0,7.0,25.0,6.0,19.0,8.0,27.0,0.0,1216.0,48.0,331.0,777.0,118.0,18.0,1216.0,635.0,12.0,10.0,3.0,801.0,19.0,8.0,0.0,29.0,14.0,2.0,0.0,0.0,0.0,134.0,34.0,22.0,60.7
+"Domen Črnigoj,si SVN,""MF,FW"",Salernitana,27-084,1995,2.0,0.0,49.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,24.0,66.7,211.0,36.0,12.0,16.0,75.0,4.0,4.0,100.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.84,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,5.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,33.0,0.0,2.0,19.0,14.0,3.0,33.0,15.0,2.0,1.0,1.0,20.0,4.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0"
+"Juan Cuadrado,co COL,""DF,FW"",Juventus,34-260,1988,16.0,13.0,1059.0,0.0,3.0,0.0,0.0,3.0,1.0,0.0,0.25,0.25,0.0,0.25,0.9,0.9,0.07,0.07,11.8,5.0,2.0,27.8,0.42,0.0,0.0,0.05,-0.9,-0.9,535.0,640.0,83.6,10475.0,2664.0,222.0,247.0,89.9,217.0,248.0,87.5,90.0,125.0,72.0,27.0,24.0,15.0,7.0,44.0,563.0,76.0,13.0,0.0,11.0,46.0,20.0,7.0,12.0,0.0,43.0,1.0,8.0,44.0,3.74,23.0,12.0,3.0,4.0,6.0,0.51,2.0,2.0,0.0,2.0,0.0,30.0,18.0,22.0,8.0,0.0,9.0,1.0,8.0,13.0,17.0,0.0,787.0,20.0,208.0,370.0,214.0,29.0,787.0,427.0,19.0,15.0,11.0,539.0,21.0,5.0,0.0,15.0,18.0,0.0,0.0,0.0,0.0,50.0,6.0,4.0,60.0"
+Mickaël Cuisance,fr FRA,MF,Sampdoria,23-178,1999,1.0,1.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,16.0,56.3,180.0,38.0,3.0,3.0,100.0,5.0,7.0,71.4,1.0,4.0,25.0,0.0,0.0,1.0,0.0,1.0,15.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,2.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,26.0,3.0,7.0,12.0,7.0,0.0,26.0,12.0,0.0,1.0,0.0,10.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
+"Marco D'Alessandro,it ITA,""DF,FW"",Monza,31-358,1991,8.0,3.0,290.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,3.2,1.0,0.0,25.0,0.31,0.0,0.0,0.08,-0.3,-0.3,79.0,115.0,68.7,1182.0,302.0,50.0,57.0,87.7,23.0,36.0,63.9,4.0,9.0,44.4,3.0,4.0,0.0,0.0,3.0,100.0,14.0,2.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,12.0,1.0,3.0,8.0,2.49,7.0,0.0,0.0,1.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,4.0,4.0,3.0,1.0,0.0,2.0,0.0,2.0,1.0,3.0,0.0,141.0,1.0,37.0,55.0,52.0,10.0,141.0,80.0,14.0,4.0,5.0,89.0,4.0,5.0,0.0,6.0,9.0,1.0,0.0,0.0,0.0,19.0,2.0,2.0,50.0"
+Danilo D'Ambrosio,it ITA,DF,Inter,34-154,1988,4.0,1.0,107.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,61.0,86.9,1004.0,337.0,17.0,18.0,94.4,32.0,34.0,94.1,4.0,9.0,44.4,0.0,5.0,1.0,0.0,7.0,60.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,1.68,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,4.0,2.0,2.0,2.0,6.0,0.0,79.0,12.0,44.0,29.0,6.0,1.0,79.0,46.0,2.0,1.0,1.0,47.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
+Luca D'Andrea,it ITA,FW,Sassuolo,18-157,2004,5.0,5.0,316.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.28,0.28,0.0,0.28,0.3,0.3,0.08,0.08,3.5,3.0,0.0,42.9,0.85,0.0,0.0,0.04,-0.3,-0.3,61.0,84.0,72.6,896.0,334.0,32.0,42.0,76.2,24.0,31.0,77.4,3.0,6.0,50.0,10.0,6.0,3.0,2.0,9.0,80.0,4.0,0.0,1.0,0.0,7.0,3.0,0.0,0.0,0.0,1.0,0.0,1.0,15.0,4.27,12.0,1.0,1.0,0.0,1.0,0.28,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,1.0,1.0,2.0,0.0,2.0,1.0,1.0,0.0,129.0,0.0,17.0,61.0,53.0,12.0,129.0,81.0,11.0,4.0,5.0,91.0,11.0,7.0,0.0,4.0,9.0,1.0,0.0,0.0,0.0,13.0,2.0,3.0,40.0
+Flavius Daniliuc,at AUT,DF,Salernitana,21-289,2001,13.0,11.0,1031.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.09,0.09,0.0,0.09,0.4,0.4,0.03,0.03,11.5,3.0,1.0,60.0,0.26,0.0,0.0,0.08,-0.4,-0.4,504.0,581.0,86.7,10115.0,3754.0,164.0,177.0,92.7,266.0,291.0,91.4,66.0,93.0,71.0,2.0,33.0,0.0,0.0,37.0,555.0,24.0,18.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,7.0,10.0,0.87,8.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,13.0,20.0,6.0,0.0,15.0,7.0,8.0,12.0,50.0,0.0,703.0,114.0,403.0,288.0,18.0,6.0,703.0,374.0,9.0,3.0,0.0,432.0,4.0,1.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,63.0,23.0,13.0,63.9
+Danilo,br BRA,DF,Juventus,31-210,1991,21.0,20.0,1813.0,2.0,2.0,0.0,0.0,3.0,0.0,0.1,0.1,0.2,0.1,0.2,1.6,1.6,0.08,0.08,20.1,2.0,0.0,13.3,0.1,0.13,1.0,0.11,0.4,0.4,1011.0,1208.0,83.7,19787.0,7295.0,351.0,402.0,87.3,521.0,569.0,91.6,128.0,201.0,63.7,12.0,99.0,8.0,3.0,84.0,1100.0,102.0,25.0,3.0,10.0,16.0,0.0,0.0,0.0,0.0,67.0,6.0,11.0,31.0,1.54,28.0,1.0,1.0,1.0,2.0,0.1,1.0,0.0,1.0,0.0,0.0,47.0,29.0,30.0,14.0,3.0,20.0,11.0,9.0,28.0,67.0,1.0,1418.0,141.0,561.0,723.0,142.0,28.0,1418.0,727.0,20.0,15.0,0.0,913.0,12.0,5.0,0.0,20.0,10.0,0.0,0.0,0.0,0.0,102.0,29.0,20.0,59.2
+Matteo Darmian,it ITA,DF,Inter,33-070,1989,16.0,12.0,993.0,1.0,2.0,0.0,0.0,2.0,0.0,0.09,0.18,0.27,0.09,0.27,0.8,0.8,0.07,0.07,11.0,1.0,0.0,33.3,0.09,0.33,1.0,0.28,0.2,0.2,450.0,543.0,82.9,7555.0,2652.0,212.0,233.0,91.0,193.0,229.0,84.3,33.0,53.0,62.3,13.0,23.0,12.0,7.0,39.0,458.0,84.0,3.0,1.0,1.0,21.0,0.0,0.0,0.0,0.0,81.0,1.0,9.0,28.0,2.54,22.0,4.0,0.0,1.0,4.0,0.36,3.0,0.0,0.0,1.0,0.0,31.0,16.0,15.0,7.0,9.0,17.0,3.0,14.0,9.0,17.0,0.0,646.0,32.0,186.0,301.0,162.0,17.0,646.0,321.0,7.0,10.0,2.0,400.0,8.0,5.0,0.0,12.0,12.0,3.0,0.0,0.0,0.0,49.0,5.0,9.0,35.7
+Paweł Dawidowicz,pl POL,DF,Hellas Verona,27-266,1995,11.0,10.0,745.0,1.0,0.0,0.0,0.0,5.0,1.0,0.12,0.0,0.12,0.12,0.12,0.9,0.9,0.11,0.11,8.3,2.0,0.0,28.6,0.24,0.14,0.5,0.13,0.1,0.1,245.0,339.0,72.3,4386.0,1815.0,109.0,127.0,85.8,105.0,137.0,76.6,25.0,62.0,40.3,1.0,22.0,1.0,0.0,22.0,308.0,31.0,9.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,22.0,0.0,3.0,5.0,0.6,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,15.0,14.0,7.0,1.0,7.0,5.0,2.0,8.0,31.0,0.0,423.0,43.0,203.0,182.0,43.0,9.0,423.0,170.0,12.0,7.0,1.0,201.0,4.0,1.0,0.0,21.0,6.0,0.0,0.0,0.0,0.0,53.0,17.0,10.0,63.0
+"Charles De Ketelaere,be BEL,""MF,FW"",Milan,21-337,2001,17.0,6.0,690.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.13,0.13,0.0,0.13,1.1,1.1,0.14,0.14,7.7,3.0,0.0,25.0,0.39,0.0,0.0,0.09,-1.1,-1.1,174.0,230.0,75.7,2506.0,848.0,100.0,129.0,77.5,58.0,70.0,82.9,9.0,13.0,69.2,16.0,18.0,13.0,0.0,34.0,219.0,11.0,1.0,2.0,2.0,7.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,32.0,4.17,29.0,0.0,0.0,1.0,2.0,0.26,2.0,0.0,0.0,0.0,0.0,10.0,4.0,3.0,6.0,1.0,7.0,1.0,6.0,3.0,1.0,0.0,317.0,3.0,28.0,141.0,154.0,40.0,317.0,178.0,28.0,17.0,7.0,206.0,16.0,15.0,0.0,8.0,8.0,1.0,0.0,0.0,0.0,39.0,13.0,16.0,44.8"
+Manuel De Luca,it ITA,FW,Sampdoria,24-208,1998,1.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,7.0,71.4,66.0,1.0,3.0,4.0,75.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.73,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,6.0,4.0,2.0,10.0,10.0,0.0,0.0,0.0,11.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Mattia De Sciglio,it ITA,DF,Juventus,30-113,1992,10.0,6.0,603.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,6.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,-0.1,-0.1,300.0,368.0,81.5,5388.0,1996.0,129.0,149.0,86.6,134.0,157.0,85.4,34.0,53.0,64.2,5.0,33.0,6.0,4.0,39.0,312.0,56.0,4.0,0.0,4.0,15.0,0.0,0.0,0.0,0.0,52.0,0.0,0.0,11.0,1.64,10.0,0.0,0.0,1.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,8.0,6.0,2.0,3.0,3.0,5.0,2.0,3.0,3.0,11.0,0.0,421.0,18.0,113.0,238.0,72.0,2.0,421.0,227.0,6.0,4.0,0.0,273.0,5.0,5.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,24.0,8.0,8.0,50.0
+Lorenzo De Silvestri,it ITA,DF,Bologna,34-263,1988,9.0,5.0,518.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.07,0.07,5.8,2.0,0.0,50.0,0.35,0.0,0.0,0.1,-0.4,-0.4,184.0,260.0,70.8,2890.0,1461.0,101.0,114.0,88.6,73.0,104.0,70.2,7.0,31.0,22.6,4.0,18.0,4.0,1.0,20.0,197.0,63.0,5.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,58.0,0.0,3.0,8.0,1.39,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,5.0,5.0,0.0,2.0,16.0,0.0,304.0,20.0,105.0,138.0,65.0,6.0,304.0,140.0,8.0,8.0,0.0,153.0,4.0,4.0,0.0,4.0,5.0,2.0,0.0,0.0,1.0,28.0,9.0,8.0,52.9
+Koni De Winter,be BEL,DF,Empoli,20-243,2002,11.0,9.0,805.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,356.0,407.0,87.5,6728.0,2357.0,130.0,140.0,92.9,199.0,214.0,93.0,27.0,49.0,55.1,2.0,14.0,1.0,0.0,19.0,389.0,18.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,4.0,0.45,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,9.0,3.0,0.0,10.0,10.0,0.0,6.0,42.0,0.0,494.0,88.0,318.0,175.0,3.0,0.0,494.0,289.0,1.0,1.0,0.0,314.0,5.0,2.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,37.0,14.0,7.0,66.7
+Grégoire Defrel,mq MTQ,FW,Sassuolo,31-238,1991,10.0,4.0,403.0,1.0,0.0,0.0,0.0,2.0,0.0,0.22,0.0,0.22,0.22,0.22,1.8,1.8,0.39,0.39,4.5,5.0,0.0,71.4,1.12,0.14,0.2,0.25,-0.8,-0.8,60.0,75.0,80.0,805.0,128.0,33.0,39.0,84.6,20.0,23.0,87.0,2.0,4.0,50.0,6.0,2.0,0.0,0.0,3.0,67.0,8.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,1.79,6.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,1.0,0.0,1.0,1.0,2.0,0.0,117.0,3.0,17.0,55.0,47.0,15.0,117.0,76.0,4.0,2.0,2.0,80.0,11.0,3.0,0.0,8.0,6.0,2.0,0.0,0.0,0.0,15.0,1.0,7.0,12.5
+Duccio Degli Innocenti,it ITA,MF,Empoli,19-288,2003,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Merih Demiral,tr TUR,DF,Atalanta,24-342,1998,17.0,12.0,1200.0,1.0,0.0,0.0,0.0,4.0,0.0,0.07,0.0,0.07,0.07,0.07,0.7,0.7,0.05,0.05,13.3,1.0,0.0,20.0,0.07,0.2,1.0,0.14,0.3,0.3,401.0,475.0,84.4,7453.0,2149.0,152.0,170.0,89.4,199.0,228.0,87.3,43.0,67.0,64.2,3.0,12.0,0.0,0.0,21.0,423.0,52.0,28.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,3.0,0.23,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,20.0,23.0,8.0,0.0,18.0,5.0,13.0,20.0,49.0,1.0,611.0,124.0,378.0,221.0,17.0,9.0,611.0,246.0,1.0,3.0,1.0,254.0,4.0,2.0,0.0,12.0,9.0,1.0,0.0,0.0,0.0,94.0,38.0,22.0,63.3
+Diego Demme,de GER,MF,Napoli,31-081,1991,3.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,47.0,47.0,100.0,747.0,174.0,23.0,23.0,100.0,15.0,15.0,100.0,7.0,7.0,100.0,0.0,5.0,1.0,0.0,7.0,47.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,49.0,0.0,0.0,40.0,9.0,0.0,49.0,30.0,0.0,1.0,0.0,46.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Fabio Depaoli,it ITA,DF,Hellas Verona,25-292,1997,16.0,13.0,1170.0,2.0,2.0,0.0,0.0,3.0,0.0,0.15,0.15,0.31,0.15,0.31,1.3,1.3,0.1,0.1,13.0,4.0,0.0,33.3,0.31,0.17,0.5,0.1,0.7,0.7,280.0,420.0,66.7,5215.0,3039.0,119.0,149.0,79.9,113.0,163.0,69.3,42.0,78.0,53.8,12.0,30.0,14.0,10.0,44.0,311.0,106.0,2.0,0.0,1.0,33.0,2.0,1.0,1.0,0.0,102.0,3.0,11.0,29.0,2.23,21.0,4.0,0.0,3.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,26.0,14.0,14.0,8.0,4.0,15.0,4.0,11.0,7.0,20.0,0.0,574.0,34.0,141.0,249.0,191.0,22.0,574.0,238.0,15.0,7.0,3.0,257.0,23.0,12.0,0.0,17.0,16.0,1.0,0.0,0.0,0.0,73.0,13.0,26.0,33.3
+"Fabio Depaoli,it ITA,""DF,MF"",Sampdoria,25-292,1997,3.0,1.0,136.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.12,0.12,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,74.0,95.0,77.9,1373.0,584.0,31.0,36.0,86.1,31.0,36.0,86.1,11.0,21.0,52.4,4.0,6.0,4.0,4.0,10.0,75.0,20.0,1.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,19.0,0.0,1.0,6.0,3.97,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,3.0,0.0,1.0,0.0,1.0,1.0,4.0,0.0,117.0,6.0,28.0,56.0,34.0,3.0,117.0,73.0,2.0,3.0,0.0,70.0,2.0,1.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,0.0"
+Kastriot Dermaku,al ALB,DF,Lecce,31-026,1992,1.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,27.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Cyriel Dessers,ng NGA,FW,Cremonese,28-064,1994,18.0,15.0,1204.0,3.0,0.0,0.0,1.0,2.0,0.0,0.22,0.0,0.22,0.22,0.22,5.3,4.5,0.4,0.34,13.4,8.0,0.0,21.6,0.6,0.08,0.38,0.12,-2.3,-1.5,136.0,213.0,63.8,1950.0,317.0,76.0,112.0,67.9,47.0,66.0,71.2,6.0,11.0,54.5,17.0,9.0,6.0,0.0,22.0,189.0,24.0,0.0,1.0,1.0,7.0,0.0,0.0,0.0,0.0,3.0,0.0,6.0,29.0,2.16,18.0,2.0,4.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,3.0,3.0,1.0,11.0,2.0,9.0,3.0,3.0,0.0,356.0,6.0,12.0,126.0,220.0,91.0,355.0,203.0,13.0,7.0,17.0,256.0,44.0,17.0,0.0,26.0,11.0,19.0,0.0,0.0,0.0,20.0,8.0,35.0,18.6
+Sergiño Dest,us USA,DF,Milan,22-099,2000,8.0,2.0,329.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,3.7,1.0,0.0,50.0,0.27,0.0,0.0,0.15,-0.3,-0.3,169.0,198.0,85.4,2535.0,793.0,95.0,102.0,93.1,65.0,73.0,89.0,5.0,12.0,41.7,4.0,15.0,3.0,1.0,14.0,154.0,44.0,1.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,43.0,0.0,5.0,11.0,3.0,8.0,2.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,12.0,6.0,3.0,5.0,4.0,1.0,0.0,1.0,4.0,2.0,0.0,246.0,7.0,75.0,116.0,61.0,3.0,246.0,133.0,11.0,3.0,0.0,137.0,3.0,5.0,0.0,6.0,4.0,0.0,0.0,1.0,0.0,29.0,3.0,1.0,75.0
+Mattia Destro,it ITA,FW,Empoli,31-327,1991,10.0,6.0,456.0,1.0,0.0,0.0,0.0,2.0,0.0,0.2,0.0,0.2,0.2,0.2,1.2,1.2,0.24,0.24,5.1,6.0,0.0,33.3,1.18,0.06,0.17,0.07,-0.2,-0.2,33.0,59.0,55.9,387.0,85.0,23.0,32.0,71.9,5.0,15.0,33.3,2.0,4.0,50.0,4.0,1.0,1.0,0.0,2.0,57.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,8.0,1.58,4.0,0.0,1.0,1.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,1.0,4.0,0.0,113.0,5.0,8.0,49.0,56.0,25.0,113.0,66.0,4.0,1.0,3.0,82.0,12.0,5.0,0.0,9.0,3.0,7.0,0.0,1.0,0.0,6.0,6.0,16.0,27.3
+Gerard Deulofeu,es ESP,FW,Udinese,28-334,1994,16.0,15.0,1211.0,2.0,6.0,0.0,0.0,1.0,0.0,0.15,0.45,0.59,0.15,0.59,5.1,5.1,0.38,0.38,13.5,12.0,10.0,27.3,0.89,0.05,0.17,0.11,-3.1,-3.1,443.0,588.0,75.3,6574.0,2331.0,260.0,294.0,88.4,139.0,181.0,76.8,27.0,64.0,42.2,48.0,40.0,42.0,2.0,82.0,475.0,110.0,27.0,1.0,0.0,59.0,43.0,20.0,14.0,0.0,14.0,3.0,14.0,83.0,6.16,55.0,14.0,5.0,3.0,9.0,0.67,7.0,2.0,0.0,0.0,0.0,8.0,5.0,5.0,1.0,2.0,8.0,1.0,7.0,2.0,1.0,0.0,725.0,5.0,44.0,295.0,400.0,82.0,725.0,455.0,72.0,39.0,33.0,506.0,22.0,18.0,0.0,8.0,11.0,8.0,0.0,0.0,0.0,44.0,1.0,4.0,20.0
+"Samuel Di Carmine,it ITA,""FW,MF"",Cremonese,34-134,1988,2.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.28,0.28,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.1,-0.1,6.0,8.0,75.0,79.0,30.0,4.0,5.0,80.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,4.0,5.0,2.0,9.0,6.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0"
+"Federico Di Francesco,it ITA,""FW,MF"",Lecce,28-241,1994,21.0,12.0,1042.0,1.0,2.0,0.0,0.0,3.0,0.0,0.09,0.17,0.26,0.09,0.26,1.8,1.8,0.15,0.15,11.6,10.0,1.0,45.5,0.86,0.05,0.1,0.08,-0.8,-0.8,203.0,296.0,68.6,2805.0,829.0,121.0,141.0,85.8,60.0,91.0,65.9,9.0,30.0,30.0,15.0,10.0,11.0,1.0,28.0,264.0,30.0,1.0,4.0,2.0,22.0,22.0,0.0,2.0,0.0,7.0,2.0,10.0,27.0,2.33,16.0,4.0,1.0,3.0,5.0,0.43,2.0,1.0,1.0,0.0,0.0,15.0,10.0,3.0,6.0,6.0,11.0,0.0,11.0,6.0,9.0,0.0,425.0,11.0,52.0,163.0,216.0,44.0,425.0,263.0,30.0,14.0,13.0,290.0,28.0,17.0,0.0,23.0,16.0,4.0,1.0,0.0,0.0,45.0,4.0,8.0,33.3"
+Michele Di Gregorio,it ITA,GK,Monza,25-198,1997,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,631.0,831.0,75.9,16298.0,10836.0,156.0,156.0,100.0,270.0,275.0,98.2,202.0,397.0,50.9,0.0,10.0,0.0,0.0,0.0,648.0,183.0,59.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,1.0,878.0,713.0,874.0,4.0,0.0,0.0,878.0,529.0,0.0,0.0,0.0,463.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,2.0,1.0,66.7
+Giovanni Di Lorenzo,it ITA,DF,Napoli,29-190,1993,21.0,21.0,1878.0,1.0,3.0,0.0,0.0,2.0,0.0,0.05,0.14,0.19,0.05,0.19,1.3,1.3,0.06,0.06,20.9,4.0,0.0,25.0,0.19,0.06,0.25,0.08,-0.3,-0.3,1318.0,1532.0,86.0,21485.0,8027.0,676.0,726.0,93.1,518.0,589.0,87.9,97.0,143.0,67.8,29.0,103.0,37.0,8.0,155.0,1299.0,229.0,45.0,1.0,13.0,54.0,1.0,0.0,0.0,0.0,182.0,4.0,23.0,72.0,3.45,63.0,4.0,2.0,2.0,12.0,0.58,12.0,0.0,0.0,0.0,0.0,36.0,18.0,19.0,13.0,4.0,19.0,4.0,15.0,16.0,35.0,0.0,1683.0,59.0,433.0,833.0,433.0,56.0,1683.0,1044.0,39.0,34.0,2.0,1186.0,12.0,13.0,0.0,16.0,20.0,4.0,0.0,0.0,0.0,102.0,24.0,21.0,53.3
+Ángel Di María,ar ARG,FW,Juventus,34-361,1988,12.0,8.0,608.0,3.0,2.0,1.0,1.0,0.0,1.0,0.44,0.3,0.74,0.3,0.59,1.8,1.0,0.27,0.15,6.8,6.0,0.0,35.3,0.89,0.12,0.33,0.06,1.2,1.0,213.0,284.0,75.0,4001.0,1508.0,100.0,112.0,89.3,71.0,91.0,78.0,36.0,59.0,61.0,21.0,25.0,17.0,6.0,37.0,237.0,45.0,14.0,5.0,5.0,43.0,20.0,7.0,11.0,0.0,8.0,2.0,8.0,39.0,5.77,21.0,11.0,3.0,0.0,4.0,0.59,3.0,1.0,0.0,0.0,0.0,7.0,4.0,2.0,4.0,1.0,7.0,0.0,7.0,2.0,0.0,0.0,367.0,1.0,29.0,156.0,188.0,17.0,366.0,223.0,16.0,15.0,4.0,272.0,18.0,18.0,0.0,4.0,7.0,3.0,0.0,0.0,0.0,25.0,1.0,0.0,100.0
+Boulaye Dia,sn SEN,FW,Salernitana,26-086,1996,20.0,16.0,1465.0,8.0,4.0,0.0,0.0,1.0,0.0,0.49,0.25,0.74,0.49,0.74,5.0,5.0,0.31,0.31,16.3,13.0,0.0,52.0,0.8,0.32,0.62,0.2,3.0,3.0,262.0,345.0,75.9,3897.0,800.0,136.0,167.0,81.4,89.0,107.0,83.2,16.0,24.0,66.7,22.0,14.0,13.0,2.0,31.0,339.0,4.0,0.0,2.0,3.0,6.0,0.0,0.0,0.0,0.0,1.0,2.0,18.0,40.0,2.46,33.0,0.0,4.0,1.0,5.0,0.31,5.0,0.0,0.0,0.0,0.0,8.0,3.0,2.0,4.0,2.0,3.0,0.0,3.0,4.0,12.0,1.0,497.0,12.0,64.0,216.0,225.0,46.0,497.0,358.0,24.0,20.0,8.0,391.0,42.0,37.0,0.0,14.0,22.0,8.0,0.0,0.0,0.0,56.0,11.0,26.0,29.7
+Brahim Díaz,es ESP,MF,Milan,23-191,1999,18.0,14.0,958.0,4.0,3.0,0.0,0.0,2.0,0.0,0.38,0.28,0.66,0.38,0.66,2.6,2.6,0.25,0.25,10.6,8.0,1.0,38.1,0.75,0.19,0.5,0.13,1.4,1.4,284.0,365.0,77.8,4221.0,1320.0,147.0,171.0,86.0,106.0,127.0,83.5,15.0,30.0,50.0,21.0,45.0,21.0,1.0,66.0,341.0,23.0,4.0,6.0,0.0,12.0,5.0,0.0,4.0,0.0,5.0,1.0,12.0,44.0,4.13,31.0,1.0,4.0,2.0,8.0,0.75,3.0,0.0,2.0,0.0,1.0,15.0,8.0,2.0,10.0,3.0,9.0,0.0,9.0,5.0,4.0,0.0,494.0,3.0,33.0,277.0,198.0,33.0,494.0,326.0,45.0,27.0,9.0,359.0,30.0,26.0,0.0,16.0,19.0,2.0,0.0,0.0,0.0,56.0,2.0,9.0,18.2
+Federico Dimarco,it ITA,DF,Inter,25-092,1997,21.0,19.0,1467.0,3.0,1.0,0.0,0.0,0.0,0.0,0.18,0.06,0.25,0.18,0.25,2.0,2.0,0.13,0.13,16.3,9.0,5.0,29.0,0.55,0.1,0.33,0.07,1.0,1.0,647.0,896.0,72.2,12549.0,4360.0,275.0,321.0,85.7,255.0,323.0,78.9,100.0,205.0,48.8,37.0,41.0,24.0,17.0,57.0,736.0,158.0,31.0,0.0,20.0,146.0,44.0,10.0,28.0,0.0,78.0,2.0,12.0,66.0,4.04,40.0,22.0,1.0,1.0,4.0,0.25,3.0,0.0,0.0,0.0,0.0,21.0,16.0,5.0,11.0,5.0,13.0,4.0,9.0,13.0,19.0,0.0,1037.0,35.0,232.0,400.0,413.0,45.0,1037.0,556.0,32.0,20.0,3.0,671.0,15.0,8.0,0.0,10.0,20.0,3.0,0.0,1.0,0.0,83.0,3.0,9.0,25.0
+Koffi Djidji,ci CIV,DF,Torino,30-072,1992,18.0,16.0,1442.0,1.0,0.0,0.0,0.0,2.0,0.0,0.06,0.0,0.06,0.06,0.06,0.9,0.9,0.06,0.06,16.0,4.0,0.0,50.0,0.25,0.13,0.25,0.12,0.1,0.1,719.0,839.0,85.7,13056.0,3697.0,288.0,310.0,92.9,354.0,391.0,90.5,66.0,107.0,61.7,2.0,57.0,3.0,2.0,55.0,816.0,20.0,8.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,11.0,3.0,12.0,9.0,0.56,7.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,28.0,13.0,19.0,8.0,1.0,17.0,9.0,8.0,25.0,44.0,0.0,989.0,78.0,436.0,489.0,70.0,7.0,989.0,520.0,6.0,7.0,0.0,639.0,4.0,4.0,0.0,19.0,2.0,1.0,0.0,2.0,0.0,80.0,27.0,27.0,50.0
+Berat Djimsiti,al ALB,DF,Atalanta,29-356,1993,9.0,5.0,533.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.9,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,319.0,356.0,89.6,5322.0,1675.0,154.0,168.0,91.7,144.0,150.0,96.0,17.0,31.0,54.8,1.0,17.0,0.0,0.0,14.0,344.0,11.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,2.0,0.34,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,10.0,4.0,0.0,6.0,3.0,3.0,9.0,20.0,0.0,415.0,43.0,211.0,181.0,24.0,4.0,415.0,260.0,2.0,2.0,0.0,281.0,1.0,4.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,28.0,12.0,8.0,60.0
+Dodô,br BRA,DF,Fiorentina,24-085,1998,17.0,15.0,1191.0,0.0,1.0,0.0,0.0,5.0,1.0,0.0,0.08,0.08,0.0,0.08,0.2,0.2,0.02,0.02,13.2,1.0,0.0,25.0,0.08,0.0,0.0,0.05,-0.2,-0.2,643.0,769.0,83.6,11302.0,3186.0,288.0,314.0,91.7,288.0,341.0,84.5,60.0,90.0,66.7,10.0,39.0,12.0,2.0,75.0,666.0,102.0,13.0,0.0,1.0,22.0,0.0,0.0,0.0,0.0,89.0,1.0,12.0,30.0,2.27,27.0,1.0,0.0,1.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,18.0,8.0,8.0,7.0,3.0,11.0,0.0,11.0,11.0,13.0,0.0,857.0,23.0,214.0,404.0,243.0,10.0,857.0,530.0,26.0,29.0,3.0,573.0,17.0,7.0,1.0,22.0,16.0,0.0,0.0,1.0,0.0,88.0,10.0,5.0,66.7
+Josh Doig,sct SCO,DF,Hellas Verona,20-268,2002,14.0,10.0,937.0,2.0,3.0,0.0,0.0,0.0,0.0,0.19,0.29,0.48,0.19,0.48,1.7,1.7,0.17,0.17,10.4,6.0,0.0,40.0,0.58,0.13,0.33,0.12,0.3,0.3,234.0,355.0,65.9,4027.0,2001.0,120.0,148.0,81.1,83.0,123.0,67.5,26.0,55.0,47.3,11.0,22.0,11.0,7.0,17.0,277.0,75.0,0.0,0.0,0.0,41.0,1.0,1.0,0.0,0.0,74.0,3.0,16.0,27.0,2.59,19.0,2.0,1.0,2.0,6.0,0.58,4.0,0.0,0.0,1.0,0.0,15.0,4.0,3.0,5.0,7.0,11.0,3.0,8.0,9.0,6.0,0.0,469.0,12.0,116.0,162.0,202.0,23.0,469.0,219.0,36.0,20.0,4.0,244.0,22.0,12.0,0.0,8.0,6.0,2.0,0.0,0.0,0.0,70.0,11.0,11.0,50.0
+Nicolás Domínguez,ar ARG,MF,Bologna,24-227,1998,18.0,15.0,1336.0,1.0,2.0,0.0,0.0,6.0,0.0,0.07,0.13,0.2,0.07,0.2,1.1,1.1,0.07,0.07,14.8,6.0,0.0,28.6,0.4,0.05,0.17,0.05,-0.1,-0.1,563.0,721.0,78.1,8832.0,2597.0,299.0,350.0,85.4,184.0,228.0,80.7,49.0,80.0,61.3,22.0,60.0,14.0,0.0,80.0,678.0,38.0,22.0,13.0,9.0,12.0,0.0,0.0,0.0,0.0,13.0,5.0,18.0,42.0,2.83,35.0,2.0,0.0,2.0,4.0,0.27,4.0,0.0,0.0,0.0,0.0,51.0,31.0,25.0,19.0,7.0,17.0,2.0,15.0,9.0,10.0,1.0,886.0,21.0,171.0,488.0,236.0,20.0,886.0,440.0,23.0,20.0,3.0,574.0,36.0,12.0,0.0,32.0,20.0,0.0,0.0,1.0,0.0,91.0,18.0,18.0,50.0
+Giulio Donati,it ITA,DF,Monza,33-005,1990,4.0,2.0,212.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,137.0,161.0,85.1,2784.0,1026.0,40.0,45.0,88.9,80.0,86.0,93.0,16.0,26.0,61.5,0.0,10.0,0.0,0.0,14.0,143.0,17.0,4.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,13.0,1.0,2.0,1.0,0.42,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,0.0,2.0,2.0,1.0,1.0,4.0,2.0,0.0,178.0,15.0,91.0,65.0,25.0,0.0,178.0,111.0,2.0,4.0,0.0,126.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,13.0,2.0,1.0,66.7
+Bartłomiej Drągowski,pl POL,GK,Spezia,25-175,1997,19.0,19.0,1662.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,408.0,613.0,66.6,11086.0,7727.0,106.0,107.0,99.1,169.0,171.0,98.8,128.0,328.0,39.0,0.0,9.0,1.0,0.0,0.0,455.0,157.0,48.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,2.0,671.0,548.0,668.0,3.0,0.0,0.0,671.0,394.0,0.0,0.0,0.0,313.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,32.0,6.0,1.0,85.7
+Ondrej Duda,sk SVK,MF,Hellas Verona,28-067,1994,2.0,1.0,123.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,35.0,55.0,63.6,713.0,139.0,10.0,15.0,66.7,16.0,21.0,76.2,7.0,12.0,58.3,1.0,6.0,1.0,0.0,7.0,52.0,3.0,2.0,1.0,1.0,3.0,1.0,0.0,1.0,0.0,0.0,0.0,4.0,3.0,2.2,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,2.0,1.0,1.0,0.0,1.0,4.0,2.0,0.0,72.0,3.0,11.0,40.0,22.0,1.0,72.0,31.0,1.0,1.0,0.0,29.0,2.0,3.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,14.0,2.0,1.0,66.7
+Denzel Dumfries,nl NED,DF,Inter,26-298,1996,18.0,14.0,1195.0,1.0,2.0,0.0,0.0,3.0,0.0,0.08,0.15,0.23,0.08,0.23,2.5,2.5,0.19,0.19,13.3,9.0,0.0,45.0,0.68,0.05,0.11,0.12,-1.5,-1.5,358.0,490.0,73.1,5925.0,1988.0,171.0,199.0,85.9,149.0,203.0,73.4,29.0,59.0,49.2,19.0,9.0,16.0,7.0,33.0,405.0,84.0,2.0,0.0,1.0,43.0,0.0,0.0,0.0,0.0,82.0,1.0,11.0,45.0,3.39,28.0,3.0,7.0,5.0,6.0,0.45,4.0,0.0,1.0,1.0,0.0,12.0,6.0,4.0,6.0,2.0,17.0,4.0,13.0,10.0,18.0,0.0,632.0,25.0,132.0,264.0,248.0,54.0,632.0,332.0,33.0,21.0,12.0,387.0,21.0,10.0,0.0,13.0,22.0,2.0,0.0,0.0,1.0,50.0,23.0,16.0,59.0
+Alfred Duncan,gh GHA,MF,Fiorentina,29-337,1993,13.0,6.0,537.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,217.0,284.0,76.4,3924.0,1371.0,87.0,103.0,84.5,97.0,115.0,84.3,24.0,46.0,52.2,3.0,31.0,8.0,4.0,39.0,274.0,9.0,7.0,2.0,1.0,11.0,0.0,0.0,0.0,0.0,2.0,1.0,6.0,17.0,2.83,16.0,0.0,1.0,0.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,12.0,7.0,0.0,12.0,0.0,4.0,0.0,4.0,3.0,4.0,0.0,335.0,5.0,48.0,206.0,84.0,3.0,335.0,194.0,8.0,10.0,1.0,223.0,7.0,10.0,0.0,11.0,3.0,0.0,0.0,0.0,0.0,34.0,8.0,3.0,72.7
+"Paulo Dybala,ar ARG,""MF,FW"",Roma,29-087,1993,15.0,14.0,1089.0,7.0,6.0,1.0,1.0,3.0,0.0,0.58,0.5,1.07,0.5,0.99,5.0,4.2,0.41,0.34,12.1,13.0,2.0,37.1,1.07,0.17,0.46,0.12,2.0,1.8,398.0,504.0,79.0,7132.0,1853.0,207.0,231.0,89.6,115.0,144.0,79.9,61.0,90.0,67.8,36.0,30.0,14.0,0.0,44.0,455.0,47.0,13.0,1.0,16.0,44.0,29.0,6.0,22.0,0.0,4.0,2.0,14.0,63.0,5.21,33.0,18.0,6.0,5.0,7.0,0.58,3.0,2.0,1.0,1.0,0.0,8.0,1.0,1.0,4.0,3.0,9.0,0.0,9.0,6.0,3.0,0.0,655.0,1.0,60.0,328.0,275.0,47.0,654.0,417.0,34.0,28.0,11.0,480.0,38.0,19.0,0.0,7.0,30.0,2.0,2.0,0.0,0.0,52.0,2.0,8.0,20.0"
+Edin Džeko,ba BIH,FW,Inter,36-330,1986,21.0,15.0,1298.0,7.0,3.0,0.0,0.0,3.0,0.0,0.49,0.21,0.69,0.49,0.69,7.5,7.5,0.52,0.52,14.4,18.0,0.0,34.6,1.25,0.13,0.39,0.14,-0.5,-0.5,261.0,366.0,71.3,4141.0,1068.0,134.0,175.0,76.6,93.0,123.0,75.6,21.0,38.0,55.3,16.0,29.0,16.0,1.0,50.0,350.0,14.0,0.0,4.0,5.0,14.0,0.0,0.0,0.0,0.0,1.0,2.0,10.0,47.0,3.25,38.0,0.0,9.0,0.0,10.0,0.69,7.0,0.0,3.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,12.0,0.0,12.0,2.0,20.0,0.0,538.0,23.0,56.0,253.0,236.0,76.0,538.0,279.0,21.0,8.0,8.0,415.0,39.0,12.0,0.0,21.0,19.0,8.0,0.0,0.0,0.0,47.0,30.0,25.0,54.5
+Festy Ebosele,ie IRL,DF,Udinese,20-192,2002,5.0,0.0,45.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.22,0.22,0.5,1.0,0.0,50.0,2.0,0.0,0.0,0.05,-0.1,-0.1,21.0,28.0,75.0,373.0,237.0,9.0,11.0,81.8,11.0,14.0,78.6,1.0,2.0,50.0,0.0,4.0,4.0,1.0,8.0,25.0,3.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,2.0,4.09,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,3.0,0.0,44.0,2.0,9.0,18.0,18.0,3.0,44.0,25.0,6.0,4.0,0.0,25.0,4.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,100.0
+Enzo Ebosse,cm CMR,DF,Udinese,23-336,1999,18.0,8.0,908.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,443.0,545.0,81.3,8612.0,3132.0,175.0,197.0,88.8,198.0,234.0,84.6,64.0,100.0,64.0,1.0,42.0,4.0,1.0,51.0,467.0,77.0,17.0,0.0,11.0,15.0,1.0,0.0,0.0,0.0,59.0,1.0,3.0,8.0,0.8,7.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,11.0,3.0,0.0,25.0,5.0,20.0,10.0,29.0,0.0,649.0,49.0,284.0,296.0,72.0,0.0,649.0,328.0,11.0,7.0,1.0,372.0,7.0,3.0,0.0,9.0,4.0,1.0,0.0,0.0,0.0,48.0,15.0,14.0,51.7
+Tyronne Ebuehi,ng NGA,DF,Empoli,27-056,1995,12.0,8.0,764.0,1.0,1.0,0.0,0.0,0.0,0.0,0.12,0.12,0.24,0.12,0.24,1.5,1.5,0.17,0.17,8.5,2.0,0.0,25.0,0.24,0.13,0.5,0.18,-0.5,-0.5,288.0,371.0,77.6,4758.0,1709.0,135.0,156.0,86.5,122.0,152.0,80.3,22.0,40.0,55.0,3.0,13.0,4.0,3.0,12.0,291.0,78.0,4.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,74.0,2.0,13.0,10.0,1.18,9.0,1.0,0.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,10.0,5.0,2.0,5.0,3.0,11.0,7.0,4.0,4.0,30.0,1.0,447.0,46.0,180.0,193.0,80.0,10.0,447.0,221.0,10.0,9.0,2.0,247.0,5.0,5.0,0.0,4.0,9.0,1.0,0.0,0.0,0.0,38.0,4.0,13.0,23.5
+"Éderson,br BRA,""MF,FW"",Atalanta,23-218,1999,18.0,11.0,990.0,1.0,0.0,0.0,0.0,2.0,0.0,0.09,0.0,0.09,0.09,0.09,1.2,1.2,0.11,0.11,11.0,4.0,0.0,22.2,0.36,0.06,0.25,0.07,-0.2,-0.2,358.0,450.0,79.6,6131.0,1710.0,169.0,196.0,86.2,136.0,162.0,84.0,38.0,53.0,71.7,11.0,25.0,10.0,3.0,34.0,433.0,16.0,9.0,0.0,6.0,11.0,3.0,1.0,0.0,0.0,1.0,1.0,12.0,25.0,2.27,17.0,1.0,5.0,1.0,2.0,0.18,1.0,0.0,0.0,1.0,0.0,37.0,20.0,7.0,24.0,6.0,20.0,1.0,19.0,14.0,8.0,0.0,623.0,22.0,143.0,310.0,178.0,32.0,623.0,353.0,14.0,14.0,8.0,408.0,29.0,14.0,0.0,14.0,21.0,0.0,0.0,1.0,0.0,72.0,6.0,13.0,31.6"
+Kingsley Ehizibue,nl NED,DF,Udinese,27-261,1995,16.0,5.0,622.0,1.0,0.0,0.0,0.0,3.0,0.0,0.14,0.0,0.14,0.14,0.14,0.6,0.6,0.09,0.09,6.9,1.0,0.0,20.0,0.14,0.2,1.0,0.13,0.4,0.4,201.0,284.0,70.8,3420.0,1419.0,90.0,116.0,77.6,87.0,115.0,75.7,20.0,36.0,55.6,4.0,19.0,7.0,4.0,23.0,246.0,38.0,1.0,0.0,1.0,18.0,0.0,0.0,0.0,0.0,37.0,0.0,14.0,14.0,2.03,9.0,2.0,2.0,1.0,2.0,0.29,1.0,0.0,0.0,1.0,0.0,16.0,12.0,8.0,7.0,1.0,5.0,1.0,4.0,3.0,19.0,0.0,356.0,22.0,124.0,121.0,115.0,12.0,356.0,176.0,14.0,7.0,1.0,179.0,6.0,5.0,0.0,16.0,8.0,1.0,0.0,0.0,0.0,38.0,9.0,6.0,60.0
+Albin Ekdal,se SWE,MF,Spezia,33-197,1989,14.0,5.0,547.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.16,0.16,0.0,0.16,0.6,0.6,0.11,0.11,6.1,1.0,0.0,16.7,0.16,0.0,0.0,0.11,-0.6,-0.6,160.0,226.0,70.8,2374.0,935.0,90.0,115.0,78.3,55.0,75.0,73.3,7.0,16.0,43.8,3.0,17.0,6.0,0.0,27.0,219.0,5.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,18.0,2.97,15.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,8.0,5.0,6.0,0.0,6.0,0.0,6.0,5.0,10.0,0.0,295.0,12.0,68.0,170.0,61.0,9.0,295.0,157.0,4.0,6.0,0.0,157.0,15.0,5.0,1.0,12.0,12.0,0.0,0.0,0.0,0.0,43.0,7.0,7.0,50.0
+"Emmanuel Ekong,se SWE,""FW,MF"",Empoli,20-230,2002,2.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,3.0,4.0,75.0,54.0,0.0,2.0,3.0,66.7,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,4.0,2.0,0.0,6.0,3.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0"
+"Mikael Ellertsson,is ISL,""MF,DF"",Spezia,20-336,2002,11.0,1.0,171.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,24.0,40.0,60.0,322.0,82.0,16.0,18.0,88.9,7.0,14.0,50.0,0.0,5.0,0.0,1.0,3.0,0.0,0.0,3.0,39.0,1.0,0.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,5.0,2.65,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,3.0,0.0,2.0,1.0,1.0,2.0,0.0,0.0,60.0,3.0,11.0,31.0,19.0,0.0,60.0,21.0,3.0,2.0,0.0,25.0,2.0,2.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,7.0,2.0,2.0,50.0"
+"Elif Elmas,mk MKD,""FW,MF"",Napoli,23-139,1999,20.0,6.0,824.0,5.0,1.0,1.0,1.0,1.0,0.0,0.55,0.11,0.66,0.44,0.55,3.1,2.3,0.34,0.25,9.2,7.0,0.0,43.8,0.76,0.25,0.57,0.15,1.9,1.7,354.0,428.0,82.7,4644.0,1086.0,232.0,258.0,89.9,92.0,117.0,78.6,12.0,20.0,60.0,10.0,21.0,10.0,2.0,27.0,409.0,16.0,4.0,1.0,0.0,7.0,7.0,2.0,1.0,0.0,3.0,3.0,3.0,26.0,2.84,20.0,0.0,2.0,1.0,5.0,0.55,3.0,0.0,1.0,0.0,0.0,11.0,5.0,5.0,3.0,3.0,5.0,0.0,5.0,9.0,3.0,0.0,522.0,5.0,55.0,238.0,234.0,31.0,521.0,331.0,17.0,16.0,8.0,402.0,17.0,12.0,0.0,11.0,6.0,2.0,0.0,0.0,0.0,35.0,1.0,8.0,11.1"
+Martin Erlic,hr CRO,DF,Sassuolo,25-017,1998,14.0,14.0,1221.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,13.6,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.1,-0.1,558.0,640.0,87.2,12100.0,3873.0,149.0,162.0,92.0,304.0,328.0,92.7,101.0,140.0,72.1,0.0,25.0,0.0,0.0,31.0,611.0,28.0,26.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,5.0,7.0,0.52,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,8.0,8.0,4.0,1.0,23.0,13.0,10.0,17.0,59.0,0.0,776.0,96.0,433.0,341.0,5.0,1.0,776.0,453.0,3.0,1.0,1.0,484.0,6.0,1.0,0.0,12.0,8.0,0.0,0.0,0.0,0.0,63.0,19.0,18.0,51.4
+Gonzalo Escalante,ar ARG,MF,Cremonese,29-320,1993,9.0,7.0,555.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.16,0.16,0.0,0.16,0.2,0.2,0.03,0.03,6.2,1.0,0.0,16.7,0.16,0.0,0.0,0.03,-0.2,-0.2,222.0,290.0,76.6,3755.0,1430.0,99.0,117.0,84.6,103.0,122.0,84.4,16.0,36.0,44.4,4.0,30.0,2.0,0.0,30.0,279.0,8.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,10.0,1.62,8.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,8.0,8.0,8.0,0.0,7.0,1.0,6.0,10.0,4.0,0.0,352.0,16.0,103.0,199.0,56.0,7.0,352.0,174.0,3.0,4.0,0.0,226.0,7.0,7.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,39.0,9.0,9.0,50.0
+Salvatore Esposito,it ITA,MF,Spezia,22-126,2000,3.0,1.0,142.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.6,0.0,1.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,89.0,116.0,76.7,1351.0,437.0,54.0,62.0,87.1,31.0,39.0,79.5,2.0,10.0,20.0,0.0,9.0,0.0,0.0,9.0,106.0,10.0,7.0,0.0,1.0,5.0,3.0,0.0,3.0,0.0,0.0,0.0,1.0,3.0,1.9,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,0.0,2.0,0.0,3.0,0.0,127.0,3.0,24.0,78.0,26.0,0.0,127.0,65.0,0.0,0.0,0.0,85.0,3.0,1.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,13.0,2.0,0.0,100.0
+Nicolò Fagioli,it ITA,MF,Juventus,21-363,2001,12.0,6.0,567.0,2.0,2.0,0.0,0.0,0.0,0.0,0.32,0.32,0.63,0.32,0.63,0.4,0.4,0.06,0.06,6.3,4.0,0.0,66.7,0.63,0.33,0.5,0.06,1.6,1.6,216.0,259.0,83.4,3778.0,773.0,104.0,116.0,89.7,82.0,91.0,90.1,25.0,42.0,59.5,11.0,17.0,8.0,2.0,25.0,243.0,16.0,6.0,0.0,7.0,13.0,6.0,1.0,3.0,0.0,4.0,0.0,4.0,18.0,2.86,12.0,2.0,2.0,2.0,3.0,0.48,2.0,0.0,0.0,1.0,0.0,10.0,4.0,3.0,5.0,2.0,6.0,2.0,4.0,6.0,2.0,0.0,320.0,8.0,50.0,188.0,86.0,7.0,320.0,190.0,11.0,6.0,1.0,221.0,14.0,11.0,0.0,6.0,11.0,1.0,1.0,0.0,0.0,46.0,0.0,2.0,0.0
+Wladimiro Falcone,it ITA,GK,Lecce,27-304,1995,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,357.0,673.0,53.0,11512.0,8844.0,53.0,53.0,100.0,142.0,148.0,95.9,159.0,465.0,34.2,1.0,7.0,1.0,0.0,0.0,439.0,230.0,67.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.1,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,14.0,1.0,740.0,619.0,738.0,2.0,0.0,0.0,740.0,367.0,0.0,0.0,0.0,253.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,1.0,0.0,22.0,10.0,0.0,100.0
+Davide Faraoni,it ITA,DF,Hellas Verona,31-108,1991,8.0,7.0,478.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.38,0.38,0.0,0.38,1.2,1.2,0.23,0.23,5.3,3.0,0.0,30.0,0.56,0.0,0.0,0.12,-1.2,-1.2,130.0,199.0,65.3,2383.0,1103.0,55.0,71.0,77.5,55.0,75.0,73.3,16.0,36.0,44.4,3.0,11.0,5.0,2.0,21.0,157.0,39.0,0.0,1.0,6.0,14.0,0.0,0.0,0.0,0.0,39.0,3.0,3.0,9.0,1.69,4.0,0.0,3.0,0.0,3.0,0.56,1.0,0.0,1.0,0.0,0.0,8.0,5.0,2.0,5.0,1.0,9.0,4.0,5.0,6.0,7.0,0.0,249.0,16.0,61.0,106.0,83.0,12.0,249.0,101.0,3.0,3.0,1.0,118.0,3.0,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,23.0,3.0,3.0,50.0
+Federico Fazio,ar ARG,DF,Salernitana,35-330,1987,12.0,12.0,1059.0,1.0,0.0,0.0,0.0,2.0,1.0,0.08,0.0,0.08,0.08,0.08,0.7,0.7,0.06,0.06,11.8,2.0,0.0,18.2,0.17,0.09,0.5,0.06,0.3,0.3,408.0,528.0,77.3,7706.0,3184.0,139.0,168.0,82.7,212.0,246.0,86.2,47.0,92.0,51.1,3.0,24.0,3.0,0.0,40.0,495.0,33.0,18.0,0.0,8.0,4.0,0.0,0.0,0.0,0.0,15.0,0.0,6.0,12.0,1.02,7.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,12.0,8.0,7.0,0.0,9.0,4.0,5.0,28.0,61.0,0.0,669.0,82.0,312.0,307.0,56.0,15.0,669.0,345.0,13.0,11.0,1.0,356.0,11.0,5.0,0.0,11.0,6.0,0.0,0.0,3.0,0.0,73.0,36.0,13.0,73.5
+Jacopo Fazzini,it ITA,MF,Empoli,19-331,2003,11.0,2.0,245.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,76.0,92.0,82.6,1004.0,250.0,50.0,56.0,89.3,21.0,26.0,80.8,2.0,6.0,33.3,2.0,3.0,1.0,1.0,4.0,88.0,4.0,2.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,5.0,1.84,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,13.0,2.0,0.0,6.0,2.0,4.0,4.0,8.0,0.0,155.0,9.0,65.0,65.0,27.0,3.0,155.0,79.0,1.0,3.0,0.0,82.0,6.0,10.0,0.0,10.0,4.0,0.0,0.0,0.0,0.0,16.0,5.0,11.0,31.3
+Lewis Ferguson,sct SCO,MF,Bologna,23-170,1999,15.0,12.0,1007.0,3.0,0.0,0.0,0.0,3.0,0.0,0.27,0.0,0.27,0.27,0.27,2.4,2.4,0.21,0.21,11.2,9.0,0.0,47.4,0.8,0.16,0.33,0.13,0.6,0.6,371.0,454.0,81.7,5210.0,991.0,221.0,246.0,89.8,114.0,136.0,83.8,16.0,29.0,55.2,7.0,25.0,1.0,0.0,26.0,443.0,9.0,4.0,2.0,0.0,6.0,0.0,0.0,0.0,0.0,5.0,2.0,11.0,26.0,2.32,16.0,1.0,6.0,2.0,3.0,0.27,2.0,0.0,1.0,0.0,0.0,22.0,15.0,9.0,10.0,3.0,10.0,4.0,6.0,11.0,13.0,0.0,580.0,21.0,113.0,309.0,162.0,31.0,580.0,290.0,11.0,14.0,4.0,419.0,21.0,7.0,0.0,21.0,22.0,1.0,0.0,0.0,0.0,57.0,7.0,16.0,30.4
+Alex Ferrari,it ITA,DF,Sampdoria,28-224,1994,12.0,10.0,868.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,9.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,384.0,456.0,84.2,7605.0,2387.0,114.0,126.0,90.5,220.0,242.0,90.9,41.0,67.0,61.2,3.0,17.0,1.0,0.0,25.0,433.0,23.0,21.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,8.0,4.0,0.41,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,7.0,2.0,0.0,21.0,10.0,11.0,19.0,25.0,0.0,560.0,51.0,276.0,265.0,25.0,5.0,560.0,304.0,7.0,1.0,0.0,308.0,10.0,3.0,0.0,12.0,7.0,0.0,0.0,1.0,0.0,62.0,21.0,15.0,58.3
+Alex Ferrari,it ITA,DF,Cremonese,28-224,1994,5.0,5.0,373.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,156.0,202.0,77.2,3141.0,1042.0,55.0,66.0,83.3,79.0,91.0,86.8,21.0,40.0,52.5,2.0,14.0,3.0,0.0,11.0,191.0,11.0,7.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,4.0,0.97,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,16.0,0.0,0.0,3.0,1.0,2.0,12.0,17.0,1.0,255.0,22.0,132.0,121.0,5.0,0.0,255.0,134.0,1.0,1.0,0.0,130.0,1.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,30.0,4.0,2.0,66.7
+Salvador Ferrer,es ESP,DF,Spezia,25-020,1998,2.0,0.0,92.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,65.0,81.5,994.0,301.0,21.0,22.0,95.5,23.0,30.0,76.7,8.0,10.0,80.0,1.0,1.0,0.0,0.0,1.0,58.0,7.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,1.0,0.98,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,2.0,0.0,72.0,8.0,27.0,36.0,9.0,0.0,72.0,42.0,0.0,0.0,0.0,53.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,40.0
+Alessandro Florenzi,it ITA,DF,Milan,31-336,1991,2.0,1.0,97.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,62.0,79.0,78.5,1115.0,324.0,26.0,28.0,92.9,32.0,36.0,88.9,4.0,14.0,28.6,1.0,4.0,1.0,0.0,7.0,58.0,20.0,3.0,0.0,0.0,5.0,3.0,0.0,3.0,0.0,14.0,1.0,0.0,2.0,1.87,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,85.0,2.0,21.0,41.0,23.0,1.0,85.0,51.0,0.0,1.0,0.0,47.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Davide Frattesi,it ITA,MF,Sassuolo,23-111,1999,21.0,21.0,1726.0,5.0,0.0,0.0,0.0,3.0,0.0,0.26,0.0,0.26,0.26,0.26,4.3,4.3,0.22,0.22,19.2,18.0,0.0,47.4,0.94,0.13,0.28,0.11,0.7,0.7,484.0,616.0,78.6,8330.0,2285.0,230.0,277.0,83.0,177.0,214.0,82.7,58.0,87.0,66.7,20.0,46.0,17.0,1.0,84.0,600.0,16.0,12.0,4.0,14.0,9.0,0.0,0.0,0.0,0.0,4.0,0.0,13.0,61.0,3.18,49.0,0.0,4.0,3.0,4.0,0.21,4.0,0.0,0.0,0.0,0.0,42.0,19.0,14.0,22.0,6.0,16.0,2.0,14.0,6.0,24.0,0.0,852.0,38.0,172.0,429.0,265.0,57.0,852.0,476.0,45.0,35.0,14.0,573.0,32.0,28.0,0.0,27.0,37.0,0.0,0.0,0.0,0.0,100.0,16.0,12.0,57.1
+Matteo Gabbia,it ITA,DF,Milan,23-112,1999,10.0,6.0,583.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,6.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,276.0,344.0,80.2,6174.0,1982.0,72.0,86.0,83.7,141.0,156.0,90.4,58.0,89.0,65.2,0.0,12.0,0.0,0.0,14.0,332.0,12.0,6.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,4.0,0.62,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,10.0,12.0,5.0,0.0,8.0,3.0,5.0,4.0,28.0,0.0,409.0,52.0,249.0,154.0,7.0,1.0,409.0,179.0,1.0,0.0,1.0,239.0,1.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,35.0,15.0,4.0,78.9
+"Manolo Gabbiadini,it ITA,""FW,MF"",Sampdoria,31-076,1991,19.0,11.0,1058.0,4.0,1.0,0.0,0.0,4.0,0.0,0.34,0.09,0.43,0.34,0.43,4.4,4.4,0.37,0.37,11.8,17.0,2.0,41.5,1.45,0.1,0.24,0.11,-0.4,-0.4,199.0,309.0,64.4,2705.0,700.0,125.0,161.0,77.6,47.0,76.0,61.8,12.0,32.0,37.5,9.0,15.0,12.0,1.0,23.0,281.0,25.0,4.0,2.0,1.0,21.0,12.0,2.0,8.0,0.0,3.0,3.0,9.0,26.0,2.21,15.0,1.0,8.0,2.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,7.0,4.0,3.0,2.0,2.0,6.0,0.0,6.0,2.0,15.0,0.0,448.0,16.0,50.0,177.0,223.0,45.0,448.0,257.0,15.0,9.0,5.0,341.0,30.0,16.0,0.0,21.0,38.0,9.0,0.0,0.0,0.0,32.0,22.0,36.0,37.9"
+Gianluca Gaetano,it ITA,MF,Napoli,22-281,2000,3.0,0.0,33.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.73,2.73,0.0,2.73,0.1,0.1,0.31,0.31,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,18.0,25.0,72.0,242.0,75.0,10.0,11.0,90.9,7.0,9.0,77.8,0.0,1.0,0.0,1.0,1.0,0.0,0.0,3.0,21.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,2.73,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,1.0,19.0,11.0,2.0,31.0,23.0,1.0,0.0,1.0,23.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Roberto Gagliardini,it ITA,MF,Inter,28-309,1994,10.0,3.0,394.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.12,0.12,4.4,2.0,0.0,20.0,0.46,0.0,0.0,0.05,-0.5,-0.5,139.0,177.0,78.5,2119.0,593.0,82.0,99.0,82.8,46.0,53.0,86.8,8.0,15.0,53.3,3.0,15.0,8.0,3.0,22.0,173.0,3.0,2.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,10.0,2.28,8.0,0.0,1.0,1.0,2.0,0.46,1.0,0.0,1.0,0.0,0.0,12.0,5.0,6.0,5.0,1.0,7.0,2.0,5.0,1.0,6.0,0.0,231.0,6.0,51.0,106.0,76.0,20.0,231.0,115.0,12.0,3.0,1.0,158.0,2.0,2.0,0.0,7.0,8.0,0.0,0.0,0.0,0.0,21.0,11.0,6.0,64.7
+Adolfo Gaich,ar ARG,FW,Hellas Verona,23-349,1999,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,37.5,28.0,6.0,2.0,6.0,33.3,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,2.0,10.0,1.0,12.0,6.0,0.0,0.0,1.0,10.0,3.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0
+Pablo Galdames Millán,cl CHI,DF,Cremonese,26-042,1996,1.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,26.0,69.2,256.0,69.0,13.0,17.0,76.5,4.0,5.0,80.0,1.0,3.0,33.3,0.0,1.0,0.0,0.0,3.0,25.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,2.81,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,32.0,1.0,5.0,22.0,5.0,0.0,32.0,22.0,0.0,0.0,0.0,22.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
+Antonino Gallo,it ITA,DF,Lecce,23-036,2000,17.0,14.0,1259.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.07,0.07,0.0,0.07,0.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,453.0,673.0,67.3,8466.0,3883.0,194.0,230.0,84.3,198.0,278.0,71.2,56.0,133.0,42.1,19.0,62.0,19.0,13.0,82.0,521.0,147.0,17.0,0.0,7.0,48.0,0.0,0.0,0.0,0.0,130.0,5.0,12.0,32.0,2.29,27.0,1.0,0.0,1.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,29.0,16.0,18.0,6.0,5.0,19.0,3.0,16.0,10.0,33.0,0.0,799.0,42.0,266.0,334.0,212.0,7.0,799.0,371.0,36.0,23.0,3.0,382.0,13.0,6.0,1.0,10.0,10.0,2.0,0.0,0.0,0.0,104.0,17.0,15.0,53.1
+Federico Gatti,it ITA,DF,Juventus,24-231,1998,6.0,6.0,540.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,6.0,1.0,0.0,16.7,0.17,0.0,0.0,0.04,-0.3,-0.3,308.0,372.0,82.8,6500.0,2102.0,101.0,110.0,91.8,149.0,165.0,90.3,55.0,85.0,64.7,1.0,20.0,0.0,0.0,22.0,352.0,18.0,13.0,0.0,11.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,9.0,1.5,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,0.0,1.0,7.0,5.0,2.0,9.0,26.0,1.0,440.0,40.0,217.0,200.0,26.0,10.0,440.0,266.0,5.0,3.0,0.0,303.0,2.0,2.0,0.0,6.0,8.0,0.0,0.0,0.0,0.0,39.0,14.0,12.0,53.8
+Valentin Gendrey,fr FRA,DF,Lecce,22-234,2000,21.0,19.0,1724.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.02,0.02,19.2,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,606.0,862.0,70.3,9821.0,4899.0,313.0,373.0,83.9,242.0,333.0,72.7,38.0,113.0,33.6,12.0,40.0,10.0,5.0,70.0,641.0,218.0,12.0,1.0,4.0,40.0,0.0,0.0,0.0,0.0,206.0,3.0,20.0,23.0,1.2,17.0,2.0,0.0,3.0,1.0,0.05,0.0,0.0,0.0,1.0,0.0,52.0,33.0,34.0,13.0,5.0,31.0,3.0,28.0,28.0,53.0,0.0,1088.0,69.0,400.0,445.0,256.0,10.0,1088.0,472.0,29.0,21.0,3.0,471.0,30.0,9.0,0.0,13.0,21.0,1.0,1.0,1.0,0.0,119.0,30.0,29.0,50.8
+Paolo Ghiglione,it ITA,DF,Cremonese,26-008,1997,6.0,6.0,467.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.19,0.19,0.0,0.19,0.1,0.1,0.02,0.02,5.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,102.0,195.0,52.3,2052.0,1106.0,33.0,52.0,63.5,54.0,92.0,58.7,15.0,39.0,38.5,7.0,14.0,10.0,8.0,15.0,149.0,46.0,1.0,0.0,1.0,29.0,2.0,0.0,2.0,0.0,43.0,0.0,9.0,10.0,1.93,8.0,2.0,0.0,0.0,2.0,0.39,2.0,0.0,0.0,0.0,0.0,10.0,6.0,7.0,3.0,0.0,9.0,4.0,5.0,3.0,8.0,0.0,245.0,12.0,65.0,95.0,86.0,5.0,245.0,96.0,3.0,3.0,1.0,113.0,4.0,4.0,0.0,7.0,5.0,1.0,0.0,1.0,0.0,26.0,2.0,5.0,28.6
+Mario Gila,es ESP,DF,Lazio,22-165,2000,4.0,0.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,56.0,61.0,91.8,953.0,330.0,25.0,27.0,92.6,24.0,26.0,92.3,6.0,7.0,85.7,0.0,1.0,0.0,0.0,6.0,56.0,5.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,0.0,71.0,6.0,36.0,33.0,2.0,0.0,71.0,42.0,1.0,1.0,0.0,46.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,0.0
+Olivier Giroud,fr FRA,FW,Milan,36-133,1986,19.0,15.0,1264.0,6.0,4.0,1.0,1.0,6.0,1.0,0.43,0.28,0.71,0.36,0.64,7.0,6.4,0.5,0.45,14.0,15.0,3.0,29.4,1.07,0.1,0.33,0.12,-1.0,-1.4,199.0,315.0,63.2,2432.0,536.0,126.0,189.0,66.7,49.0,73.0,67.1,6.0,11.0,54.5,16.0,9.0,5.0,0.0,28.0,292.0,22.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,5.0,32.0,2.28,24.0,0.0,6.0,2.0,5.0,0.36,2.0,0.0,3.0,0.0,0.0,4.0,3.0,2.0,1.0,1.0,8.0,2.0,6.0,2.0,11.0,0.0,464.0,17.0,38.0,192.0,242.0,98.0,463.0,199.0,8.0,8.0,6.0,354.0,39.0,9.0,1.0,21.0,14.0,11.0,0.0,0.0,0.0,29.0,66.0,39.0,62.9
+Pierluigi Gollini,it ITA,GK,Fiorentina,27-329,1995,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,96.0,126.0,76.2,2622.0,1774.0,18.0,18.0,100.0,42.0,42.0,100.0,36.0,66.0,54.5,0.0,1.0,0.0,0.0,0.0,111.0,15.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,131.0,116.0,131.0,0.0,0.0,0.0,131.0,104.0,0.0,0.0,0.0,91.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Joan Gonzàlez,es ESP,MF,Lecce,21-009,2002,21.0,18.0,1532.0,1.0,3.0,0.0,0.0,4.0,0.0,0.06,0.18,0.23,0.06,0.23,1.2,1.2,0.07,0.07,17.0,3.0,0.0,21.4,0.18,0.07,0.33,0.09,-0.2,-0.2,394.0,516.0,76.4,6270.0,1717.0,194.0,242.0,80.2,151.0,175.0,86.3,30.0,58.0,51.7,13.0,49.0,7.0,3.0,47.0,489.0,26.0,6.0,2.0,5.0,19.0,0.0,0.0,0.0,0.0,7.0,1.0,10.0,30.0,1.76,21.0,0.0,3.0,4.0,3.0,0.18,2.0,0.0,0.0,0.0,1.0,32.0,16.0,15.0,11.0,6.0,28.0,5.0,23.0,12.0,21.0,0.0,727.0,34.0,171.0,368.0,198.0,25.0,727.0,367.0,12.0,8.0,5.0,426.0,32.0,19.0,0.0,27.0,36.0,1.0,0.0,0.0,1.0,94.0,22.0,40.0,35.5
+"Nicolás González,ar ARG,""FW,MF"",Fiorentina,24-310,1998,11.0,4.0,450.0,3.0,1.0,1.0,1.0,2.0,0.0,0.6,0.2,0.8,0.4,0.6,2.7,2.2,0.54,0.44,5.0,7.0,0.0,36.8,1.4,0.11,0.29,0.12,0.3,-0.2,119.0,178.0,66.9,2059.0,374.0,53.0,73.0,72.6,51.0,62.0,82.3,11.0,21.0,52.4,9.0,8.0,8.0,1.0,18.0,169.0,7.0,5.0,0.0,3.0,13.0,0.0,0.0,0.0,0.0,2.0,2.0,8.0,22.0,4.4,16.0,0.0,3.0,2.0,3.0,0.6,2.0,0.0,1.0,0.0,0.0,4.0,2.0,1.0,3.0,0.0,1.0,0.0,1.0,1.0,2.0,0.0,264.0,2.0,14.0,120.0,133.0,29.0,263.0,183.0,13.0,7.0,4.0,206.0,18.0,6.0,0.0,6.0,18.0,2.0,0.0,0.0,0.0,20.0,14.0,9.0,60.9"
+Robin Gosens,de GER,DF,Inter,28-220,1994,18.0,1.0,363.0,1.0,0.0,0.0,0.0,1.0,0.0,0.25,0.0,0.25,0.25,0.25,0.8,0.8,0.2,0.2,4.0,1.0,0.0,16.7,0.25,0.17,1.0,0.13,0.2,0.2,172.0,233.0,73.8,2690.0,1115.0,93.0,100.0,93.0,68.0,95.0,71.6,7.0,21.0,33.3,4.0,15.0,7.0,4.0,14.0,196.0,34.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,0.0,34.0,3.0,6.0,10.0,2.51,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,9.0,6.0,4.0,2.0,5.0,0.0,5.0,4.0,3.0,0.0,281.0,6.0,60.0,97.0,127.0,16.0,281.0,145.0,13.0,9.0,3.0,178.0,10.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,22.0,6.0,5.0,54.5
+Alberto Grassi,it ITA,MF,Empoli,27-340,1995,11.0,6.0,469.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,5.2,1.0,0.0,25.0,0.19,0.0,0.0,0.04,-0.2,-0.2,181.0,221.0,81.9,2644.0,866.0,101.0,115.0,87.8,57.0,69.0,82.6,11.0,23.0,47.8,3.0,12.0,2.0,0.0,22.0,214.0,7.0,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,1.15,5.0,0.0,0.0,1.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,16.0,13.0,9.0,7.0,0.0,9.0,6.0,3.0,14.0,16.0,0.0,298.0,29.0,111.0,156.0,33.0,3.0,298.0,117.0,2.0,3.0,0.0,159.0,6.0,5.0,0.0,11.0,6.0,0.0,0.0,0.0,0.0,37.0,11.0,5.0,68.8
+Koray Günter,de GER,DF,Hellas Verona,28-178,1994,13.0,11.0,1003.0,1.0,0.0,0.0,0.0,3.0,0.0,0.09,0.0,0.09,0.09,0.09,0.9,0.9,0.08,0.08,11.1,1.0,0.0,11.1,0.09,0.11,1.0,0.1,0.1,0.1,323.0,422.0,76.5,6871.0,3172.0,102.0,126.0,81.0,160.0,183.0,87.4,58.0,101.0,57.4,8.0,31.0,1.0,1.0,36.0,400.0,21.0,20.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,5.0,13.0,1.17,10.0,1.0,2.0,0.0,1.0,0.09,0.0,0.0,1.0,0.0,0.0,10.0,6.0,1.0,8.0,1.0,24.0,15.0,9.0,30.0,46.0,0.0,557.0,82.0,283.0,252.0,29.0,10.0,557.0,221.0,7.0,6.0,0.0,230.0,3.0,1.0,0.0,17.0,10.0,0.0,0.0,0.0,0.0,81.0,22.0,21.0,51.2
+"Emmanuel Gyasi,gh GHA,""FW,DF"",Spezia,29-030,1994,18.0,18.0,1476.0,1.0,0.0,0.0,0.0,5.0,0.0,0.06,0.0,0.06,0.06,0.06,2.5,2.5,0.15,0.15,16.4,8.0,0.0,36.4,0.49,0.05,0.13,0.11,-1.5,-1.5,314.0,390.0,80.5,3964.0,705.0,214.0,244.0,87.7,83.0,106.0,78.3,5.0,9.0,55.6,12.0,7.0,5.0,0.0,23.0,337.0,53.0,3.0,1.0,1.0,10.0,2.0,0.0,0.0,0.0,25.0,0.0,12.0,23.0,1.4,20.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,4.0,6.0,0.0,15.0,3.0,12.0,3.0,13.0,0.0,550.0,16.0,86.0,236.0,233.0,55.0,550.0,293.0,18.0,18.0,9.0,366.0,40.0,22.0,0.0,22.0,16.0,16.0,0.0,0.0,0.0,60.0,9.0,32.0,22.0"
+Norbert Gyömbér,sk SVK,DF,Salernitana,30-222,1992,14.0,11.0,803.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.17,-0.3,-0.3,332.0,385.0,86.2,6112.0,2374.0,123.0,136.0,90.4,164.0,178.0,92.1,39.0,61.0,63.9,1.0,26.0,0.0,0.0,29.0,368.0,17.0,12.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,7.0,0.78,5.0,1.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,16.0,13.0,11.0,5.0,0.0,17.0,11.0,6.0,15.0,37.0,0.0,475.0,58.0,238.0,235.0,7.0,1.0,475.0,235.0,5.0,0.0,0.0,274.0,1.0,1.0,0.0,11.0,3.0,0.0,0.0,1.0,0.0,56.0,12.0,8.0,60.0
+Christian Gytkjær,dk DEN,FW,Monza,32-280,1990,14.0,2.0,413.0,1.0,0.0,0.0,0.0,0.0,0.0,0.22,0.0,0.22,0.22,0.22,2.7,2.7,0.6,0.6,4.6,5.0,1.0,45.5,1.09,0.09,0.2,0.25,-1.7,-1.7,50.0,73.0,68.5,642.0,126.0,27.0,38.0,71.1,13.0,20.0,65.0,3.0,3.0,100.0,2.0,2.0,2.0,0.0,5.0,65.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,1.54,5.0,0.0,2.0,0.0,2.0,0.44,1.0,0.0,1.0,0.0,0.0,6.0,2.0,1.0,4.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,110.0,0.0,2.0,58.0,50.0,17.0,110.0,58.0,1.0,2.0,1.0,81.0,9.0,5.0,0.0,9.0,4.0,10.0,0.0,0.0,0.0,7.0,6.0,14.0,30.0
+Nicolas Haas,ch SUI,MF,Empoli,27-018,1996,15.0,9.0,841.0,1.0,0.0,0.0,0.0,2.0,0.0,0.11,0.0,0.11,0.11,0.11,1.1,1.1,0.12,0.12,9.3,3.0,0.0,50.0,0.32,0.17,0.33,0.19,-0.1,-0.1,206.0,279.0,73.8,3394.0,975.0,99.0,121.0,81.8,88.0,112.0,78.6,15.0,26.0,57.7,6.0,22.0,5.0,0.0,27.0,271.0,8.0,3.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,2.0,0.0,12.0,16.0,1.71,14.0,1.0,0.0,0.0,1.0,0.11,0.0,1.0,0.0,0.0,0.0,22.0,10.0,11.0,6.0,5.0,12.0,4.0,8.0,5.0,19.0,0.0,390.0,34.0,133.0,171.0,88.0,14.0,390.0,187.0,9.0,10.0,2.0,235.0,15.0,7.0,0.0,16.0,8.0,1.0,0.0,0.0,0.0,44.0,3.0,12.0,20.0
+Samir Handanović,si SVN,GK,Inter,38-211,1984,8.0,8.0,720.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,280.0,314.0,89.2,6390.0,4422.0,88.0,89.0,98.9,130.0,131.0,99.2,61.0,90.0,67.8,0.0,6.0,0.0,0.0,0.0,253.0,58.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.25,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,331.0,266.0,328.0,2.0,1.0,0.0,331.0,191.0,0.0,0.0,0.0,199.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
+Abdou Harroui,nl NED,MF,Sassuolo,25-028,1998,13.0,2.0,295.0,1.0,0.0,0.0,0.0,1.0,0.0,0.31,0.0,0.31,0.31,0.31,0.6,0.6,0.17,0.17,3.3,3.0,0.0,33.3,0.92,0.11,0.33,0.06,0.4,0.4,106.0,135.0,78.5,1693.0,410.0,49.0,54.0,90.7,49.0,56.0,87.5,6.0,11.0,54.5,1.0,16.0,3.0,1.0,11.0,132.0,3.0,0.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,4.0,1.23,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,3.0,2.0,2.0,3.0,1.0,2.0,0.0,2.0,0.0,171.0,7.0,20.0,93.0,62.0,4.0,171.0,96.0,7.0,7.0,1.0,122.0,4.0,7.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,19.0,4.0,3.0,57.1
+Hans Hateboer,nl NED,DF,Atalanta,29-032,1994,16.0,16.0,1335.0,1.0,1.0,0.0,0.0,7.0,0.0,0.07,0.07,0.13,0.07,0.13,1.1,1.1,0.08,0.08,14.8,2.0,0.0,22.2,0.13,0.11,0.5,0.12,-0.1,-0.1,538.0,675.0,79.7,7780.0,2776.0,326.0,362.0,90.1,165.0,214.0,77.1,31.0,60.0,51.7,11.0,27.0,16.0,7.0,53.0,547.0,126.0,3.0,2.0,1.0,23.0,0.0,0.0,0.0,0.0,123.0,2.0,12.0,20.0,1.35,18.0,1.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,20.0,12.0,11.0,7.0,2.0,20.0,4.0,16.0,12.0,24.0,0.0,786.0,35.0,210.0,327.0,252.0,24.0,786.0,379.0,16.0,13.0,1.0,483.0,8.0,7.0,0.0,18.0,2.0,1.0,0.0,0.0,0.0,47.0,22.0,14.0,61.1
+Liam Henderson,sct SCO,MF,Empoli,26-291,1996,15.0,8.0,687.0,0.0,1.0,0.0,0.0,6.0,0.0,0.0,0.13,0.13,0.0,0.13,0.3,0.3,0.04,0.04,7.6,4.0,0.0,57.1,0.52,0.0,0.0,0.04,-0.3,-0.3,285.0,350.0,81.4,4731.0,1344.0,115.0,135.0,85.2,139.0,153.0,90.8,20.0,40.0,50.0,12.0,18.0,6.0,6.0,27.0,331.0,15.0,7.0,3.0,2.0,17.0,2.0,1.0,0.0,0.0,2.0,4.0,6.0,26.0,3.41,23.0,1.0,1.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,8.0,7.0,4.0,3.0,1.0,6.0,1.0,5.0,7.0,6.0,0.0,406.0,12.0,87.0,238.0,86.0,12.0,406.0,243.0,9.0,7.0,0.0,285.0,11.0,3.0,0.0,26.0,6.0,2.0,0.0,0.0,0.0,40.0,4.0,6.0,40.0
+Jack Hendry,sct SCO,DF,Cremonese,27-279,1995,4.0,2.0,220.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,118.0,137.0,86.1,2402.0,1087.0,40.0,44.0,90.9,58.0,67.0,86.6,17.0,22.0,77.3,1.0,12.0,1.0,0.0,9.0,122.0,15.0,7.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,4.0,1.64,4.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,7.0,0.0,148.0,13.0,71.0,73.0,7.0,0.0,148.0,94.0,1.0,2.0,0.0,90.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,14.0,8.0,3.0,72.7
+Matheus Henrique,br BRA,MF,Sassuolo,25-053,1997,13.0,6.0,687.0,1.0,0.0,0.0,0.0,2.0,0.0,0.13,0.0,0.13,0.13,0.13,0.7,0.7,0.09,0.09,7.6,6.0,0.0,66.7,0.79,0.11,0.17,0.08,0.3,0.3,305.0,357.0,85.4,5240.0,1351.0,131.0,149.0,87.9,130.0,141.0,92.2,32.0,41.0,78.0,11.0,35.0,4.0,0.0,39.0,344.0,13.0,8.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,4.0,0.0,9.0,27.0,3.54,21.0,1.0,1.0,2.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,10.0,6.0,4.0,5.0,1.0,4.0,0.0,4.0,8.0,6.0,0.0,420.0,10.0,74.0,228.0,122.0,9.0,420.0,267.0,11.0,19.0,1.0,298.0,10.0,4.0,0.0,4.0,11.0,0.0,0.0,0.0,0.0,36.0,4.0,5.0,44.4
+Thomas Henry,fr FRA,FW,Hellas Verona,28-143,1994,16.0,13.0,1029.0,2.0,0.0,0.0,0.0,4.0,0.0,0.17,0.0,0.17,0.17,0.17,1.7,1.7,0.15,0.15,11.4,5.0,0.0,27.8,0.44,0.11,0.4,0.1,0.3,0.3,115.0,226.0,50.9,1405.0,437.0,71.0,124.0,57.3,19.0,46.0,41.3,7.0,12.0,58.3,13.0,14.0,6.0,0.0,18.0,213.0,9.0,0.0,1.0,2.0,5.0,0.0,0.0,0.0,0.0,1.0,4.0,9.0,22.0,1.92,16.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,1.0,1.0,3.0,6.0,2.0,4.0,0.0,14.0,0.0,374.0,15.0,25.0,160.0,192.0,48.0,374.0,193.0,3.0,7.0,1.0,303.0,52.0,25.0,0.0,27.0,16.0,9.0,0.0,0.0,0.0,29.0,46.0,39.0,54.1
+Theo Hernández,fr FRA,DF,Milan,25-127,1997,18.0,18.0,1559.0,2.0,2.0,1.0,1.0,5.0,0.0,0.12,0.12,0.23,0.06,0.17,2.3,1.5,0.13,0.09,17.3,6.0,4.0,18.8,0.35,0.03,0.17,0.05,-0.3,-0.5,685.0,881.0,77.8,12034.0,3985.0,311.0,350.0,88.9,289.0,353.0,81.9,70.0,123.0,56.9,26.0,50.0,16.0,6.0,63.0,688.0,192.0,27.0,1.0,17.0,47.0,12.0,0.0,10.0,0.0,153.0,1.0,20.0,49.0,2.83,26.0,12.0,4.0,5.0,6.0,0.35,4.0,2.0,0.0,0.0,0.0,33.0,19.0,20.0,12.0,1.0,24.0,6.0,18.0,10.0,17.0,1.0,1079.0,41.0,268.0,539.0,289.0,39.0,1078.0,577.0,68.0,45.0,12.0,621.0,28.0,11.0,0.0,14.0,39.0,0.0,0.0,0.0,1.0,109.0,21.0,8.0,72.4
+Isak Hien,se SWE,DF,Hellas Verona,24-028,1999,18.0,14.0,1421.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.8,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,468.0,629.0,74.4,9766.0,3962.0,129.0,170.0,75.9,258.0,314.0,82.2,74.0,114.0,64.9,2.0,31.0,2.0,1.0,39.0,588.0,38.0,16.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,22.0,3.0,14.0,13.0,0.82,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,20.0,32.0,11.0,0.0,16.0,6.0,10.0,19.0,44.0,0.0,800.0,75.0,425.0,343.0,43.0,10.0,800.0,341.0,12.0,8.0,0.0,342.0,16.0,7.0,0.0,35.0,7.0,0.0,0.0,0.0,0.0,127.0,48.0,25.0,65.8
+Morten Hjulmand,dk DEN,MF,Lecce,23-230,1999,19.0,19.0,1624.0,0.0,4.0,0.0,0.0,5.0,1.0,0.0,0.22,0.22,0.0,0.22,0.3,0.3,0.01,0.01,18.0,1.0,0.0,12.5,0.06,0.0,0.0,0.03,-0.3,-0.3,547.0,700.0,78.1,10019.0,3117.0,232.0,280.0,82.9,240.0,278.0,86.3,66.0,111.0,59.5,18.0,79.0,9.0,2.0,85.0,662.0,36.0,35.0,0.0,8.0,6.0,0.0,0.0,0.0,0.0,0.0,2.0,12.0,34.0,1.89,30.0,1.0,1.0,2.0,5.0,0.28,5.0,0.0,0.0,0.0,0.0,50.0,30.0,27.0,23.0,0.0,23.0,7.0,16.0,41.0,37.0,0.0,898.0,64.0,271.0,514.0,119.0,5.0,898.0,408.0,3.0,6.0,0.0,410.0,17.0,13.0,0.0,30.0,21.0,0.0,0.0,0.0,0.0,138.0,25.0,14.0,64.1
+Emil Holm,se SWE,DF,Spezia,22-273,2000,19.0,17.0,1366.0,1.0,1.0,0.0,0.0,4.0,0.0,0.07,0.07,0.13,0.07,0.13,1.2,1.2,0.08,0.08,15.2,5.0,0.0,33.3,0.33,0.07,0.2,0.08,-0.2,-0.2,334.0,559.0,59.7,5064.0,1645.0,171.0,237.0,72.2,127.0,203.0,62.6,16.0,61.0,26.2,13.0,28.0,12.0,5.0,39.0,450.0,107.0,1.0,1.0,3.0,49.0,0.0,0.0,0.0,0.0,106.0,2.0,19.0,35.0,2.31,23.0,5.0,2.0,3.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,25.0,15.0,13.0,7.0,5.0,20.0,6.0,14.0,9.0,40.0,0.0,782.0,41.0,174.0,310.0,309.0,40.0,782.0,333.0,40.0,24.0,10.0,418.0,45.0,21.0,0.0,20.0,15.0,2.0,0.0,0.0,0.0,79.0,61.0,61.0,50.0
+Martin Hongla,cm CMR,MF,Hellas Verona,24-331,1998,9.0,6.0,523.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,5.8,2.0,0.0,40.0,0.34,0.0,0.0,0.03,-0.2,-0.2,166.0,212.0,78.3,3239.0,992.0,62.0,74.0,83.8,75.0,89.0,84.3,24.0,41.0,58.5,3.0,18.0,2.0,1.0,24.0,204.0,8.0,5.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,11.0,1.89,9.0,0.0,1.0,0.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,8.0,5.0,4.0,4.0,0.0,7.0,1.0,6.0,6.0,9.0,0.0,258.0,12.0,66.0,142.0,54.0,3.0,258.0,131.0,6.0,4.0,1.0,141.0,4.0,3.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,48.0,5.0,8.0,38.5
+Petko Hristov,bg BUL,DF,Spezia,23-346,1999,9.0,4.0,365.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,4.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,160.0,207.0,77.3,2653.0,997.0,82.0,90.0,91.1,64.0,79.0,81.0,11.0,29.0,37.9,0.0,11.0,2.0,1.0,8.0,168.0,38.0,9.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,29.0,1.0,1.0,3.0,0.74,1.0,0.0,1.0,1.0,1.0,0.25,0.0,0.0,0.0,1.0,0.0,6.0,4.0,2.0,4.0,0.0,4.0,2.0,2.0,4.0,12.0,0.0,251.0,19.0,101.0,122.0,29.0,3.0,251.0,112.0,2.0,2.0,0.0,133.0,3.0,0.0,0.0,1.0,4.0,0.0,1.0,0.0,0.0,21.0,10.0,5.0,66.7
+Ajdin Hrustic,au AUS,MF,Hellas Verona,26-220,1996,6.0,3.0,226.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.13,0.13,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.3,-0.3,75.0,94.0,79.8,1069.0,341.0,40.0,42.0,95.2,25.0,33.0,75.8,4.0,7.0,57.1,3.0,1.0,5.0,1.0,8.0,82.0,12.0,6.0,0.0,1.0,7.0,4.0,2.0,0.0,0.0,0.0,0.0,4.0,7.0,2.79,6.0,1.0,0.0,0.0,1.0,0.4,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,0.0,2.0,1.0,121.0,4.0,17.0,59.0,47.0,6.0,121.0,63.0,7.0,6.0,2.0,77.0,8.0,3.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,11.0,1.0,3.0,25.0
+Elseid Hysaj,al ALB,DF,Lazio,28-355,1994,17.0,7.0,746.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.12,0.12,0.0,0.12,0.0,0.0,0.0,0.0,8.3,1.0,0.0,100.0,0.12,0.0,0.0,0.03,0.0,0.0,414.0,510.0,81.2,6104.0,2761.0,240.0,263.0,91.3,137.0,164.0,83.5,25.0,56.0,44.6,4.0,30.0,6.0,2.0,29.0,431.0,78.0,9.0,2.0,2.0,8.0,0.0,0.0,0.0,0.0,69.0,1.0,6.0,15.0,1.81,12.0,0.0,0.0,1.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,21.0,10.0,11.0,6.0,4.0,9.0,4.0,5.0,9.0,18.0,0.0,598.0,34.0,236.0,272.0,95.0,4.0,598.0,300.0,15.0,13.0,2.0,344.0,13.0,6.0,0.0,7.0,6.0,1.0,0.0,0.0,0.0,62.0,12.0,9.0,57.1
+Rasmus Højlund,dk DEN,FW,Atalanta,20-006,2003,17.0,9.0,866.0,4.0,1.0,0.0,0.0,1.0,0.0,0.42,0.1,0.52,0.42,0.52,3.2,3.2,0.34,0.34,9.6,12.0,0.0,46.2,1.25,0.15,0.33,0.12,0.8,0.8,158.0,206.0,76.7,1912.0,292.0,102.0,126.0,81.0,34.0,45.0,75.6,6.0,6.0,100.0,14.0,10.0,7.0,0.0,22.0,196.0,9.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,25.0,2.6,16.0,0.0,3.0,4.0,3.0,0.31,1.0,0.0,0.0,2.0,0.0,3.0,2.0,0.0,1.0,2.0,5.0,0.0,5.0,0.0,3.0,0.0,330.0,3.0,12.0,120.0,202.0,67.0,330.0,225.0,15.0,13.0,15.0,270.0,42.0,29.0,0.0,11.0,18.0,3.0,2.0,0.0,0.0,33.0,16.0,31.0,34.0
+Roger Ibanez,br BRA,DF,Roma,24-079,1998,20.0,20.0,1800.0,3.0,0.0,0.0,0.0,5.0,0.0,0.15,0.0,0.15,0.15,0.15,1.8,1.8,0.09,0.09,20.0,6.0,0.0,35.3,0.3,0.18,0.5,0.1,1.2,1.2,963.0,1086.0,88.7,17969.0,6482.0,369.0,405.0,91.1,475.0,507.0,93.7,107.0,145.0,73.8,3.0,45.0,3.0,0.0,50.0,1049.0,36.0,27.0,2.0,8.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,7.0,19.0,0.95,10.0,1.0,5.0,2.0,2.0,0.1,1.0,0.0,1.0,0.0,0.0,47.0,22.0,25.0,20.0,2.0,17.0,7.0,10.0,43.0,64.0,1.0,1305.0,148.0,660.0,617.0,47.0,17.0,1305.0,792.0,18.0,12.0,2.0,848.0,10.0,15.0,0.0,27.0,33.0,0.0,1.0,0.0,0.0,131.0,33.0,11.0,75.0
+Igor,br BRA,DF,Fiorentina,25-003,1998,16.0,13.0,1131.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.03,0.03,12.6,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.4,-0.4,724.0,809.0,89.5,15090.0,4780.0,205.0,215.0,95.3,419.0,444.0,94.4,96.0,136.0,70.6,3.0,53.0,2.0,0.0,52.0,777.0,31.0,25.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,4.0,13.0,1.03,11.0,0.0,0.0,0.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,21.0,11.0,9.0,8.0,4.0,23.0,11.0,12.0,17.0,26.0,1.0,917.0,68.0,366.0,522.0,36.0,7.0,917.0,583.0,14.0,10.0,0.0,616.0,5.0,7.0,1.0,19.0,6.0,0.0,0.0,0.0,0.0,91.0,24.0,9.0,72.7
+Jonathan Ikone,fr FRA,FW,Fiorentina,24-284,1998,19.0,13.0,1168.0,2.0,2.0,0.0,0.0,2.0,0.0,0.15,0.15,0.31,0.15,0.31,1.7,1.7,0.13,0.13,13.0,6.0,0.0,20.0,0.46,0.07,0.33,0.06,0.3,0.3,315.0,379.0,83.1,5345.0,936.0,164.0,179.0,91.6,108.0,131.0,82.4,33.0,39.0,84.6,17.0,12.0,16.0,1.0,35.0,361.0,17.0,3.0,1.0,6.0,13.0,0.0,0.0,0.0,0.0,14.0,1.0,9.0,32.0,2.47,26.0,0.0,0.0,0.0,4.0,0.31,4.0,0.0,0.0,0.0,0.0,8.0,1.0,2.0,3.0,3.0,13.0,1.0,12.0,3.0,3.0,0.0,528.0,5.0,46.0,210.0,281.0,63.0,528.0,371.0,45.0,25.0,31.0,412.0,34.0,31.0,0.0,16.0,14.0,3.0,0.0,0.0,0.0,49.0,7.0,15.0,31.8
+Ivan Ilić,rs SRB,MF,Hellas Verona,21-330,2001,11.0,10.0,851.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.11,0.11,0.0,0.11,0.4,0.4,0.04,0.04,9.5,2.0,0.0,22.2,0.21,0.0,0.0,0.04,-0.4,-0.4,279.0,401.0,69.6,5107.0,1432.0,113.0,138.0,81.9,128.0,168.0,76.2,29.0,66.0,43.9,16.0,19.0,10.0,1.0,39.0,332.0,68.0,17.0,1.0,3.0,47.0,39.0,14.0,19.0,0.0,2.0,1.0,13.0,27.0,2.86,14.0,12.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,16.0,10.0,9.0,7.0,0.0,10.0,1.0,9.0,8.0,14.0,0.0,490.0,26.0,98.0,250.0,149.0,11.0,490.0,219.0,18.0,13.0,4.0,238.0,17.0,5.0,0.0,9.0,9.0,0.0,0.0,0.0,0.0,72.0,10.0,13.0,43.5
+"Samuel Iling-Junior,eng ENG,""DF,MF"",Juventus,19-129,2003,6.0,0.0,105.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.86,0.86,0.0,0.86,0.0,0.0,0.01,0.01,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,28.0,34.0,82.4,463.0,164.0,14.0,17.0,82.4,12.0,14.0,85.7,1.0,2.0,50.0,2.0,2.0,2.0,1.0,4.0,32.0,2.0,1.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,3.43,4.0,0.0,0.0,0.0,1.0,0.86,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,3.0,0.0,55.0,1.0,13.0,17.0,27.0,0.0,55.0,28.0,5.0,7.0,0.0,30.0,5.0,2.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,1.0,50.0"
+Emirhan İlkhan,tr TUR,MF,Torino,18-254,2004,4.0,1.0,87.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,36.0,43.0,83.7,671.0,140.0,16.0,19.0,84.2,12.0,13.0,92.3,7.0,9.0,77.8,1.0,6.0,2.0,0.0,8.0,41.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.17,5.0,0.0,0.0,0.0,1.0,1.03,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,3.0,1.0,2.0,2.0,2.0,0.0,58.0,4.0,12.0,34.0,12.0,0.0,58.0,39.0,2.0,4.0,0.0,38.0,2.0,2.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,33.3
+Ciro Immobile,it ITA,FW,Lazio,32-355,1990,16.0,14.0,1097.0,7.0,3.0,1.0,2.0,3.0,0.0,0.57,0.25,0.82,0.49,0.74,7.2,5.7,0.59,0.46,12.2,15.0,0.0,40.5,1.23,0.16,0.4,0.15,-0.2,0.3,234.0,319.0,73.4,3012.0,481.0,151.0,181.0,83.4,56.0,75.0,74.7,10.0,15.0,66.7,13.0,9.0,6.0,0.0,21.0,300.0,16.0,0.0,4.0,2.0,5.0,0.0,0.0,0.0,0.0,6.0,3.0,12.0,37.0,3.03,26.0,0.0,6.0,3.0,9.0,0.74,7.0,0.0,2.0,0.0,0.0,6.0,3.0,2.0,2.0,2.0,9.0,1.0,8.0,1.0,8.0,0.0,443.0,11.0,27.0,189.0,231.0,89.0,441.0,251.0,22.0,10.0,14.0,345.0,28.0,12.0,0.0,10.0,12.0,9.0,1.0,0.0,0.0,29.0,8.0,19.0,29.6
+Ardian Ismajli,al ALB,DF,Empoli,26-133,1996,14.0,13.0,1205.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,13.4,2.0,0.0,28.6,0.15,0.0,0.0,0.08,-0.5,-0.5,447.0,536.0,83.4,8783.0,2769.0,137.0,149.0,91.9,268.0,297.0,90.2,39.0,70.0,55.7,1.0,11.0,0.0,0.0,17.0,503.0,32.0,18.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,11.0,4.0,0.3,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,19.0,16.0,8.0,0.0,34.0,22.0,12.0,16.0,76.0,0.0,709.0,156.0,447.0,247.0,17.0,14.0,709.0,351.0,6.0,0.0,0.0,384.0,2.0,1.0,0.0,13.0,9.0,0.0,0.0,0.0,0.0,54.0,28.0,17.0,62.2
+Armando Izzo,it ITA,DF,Monza,30-345,1992,14.0,13.0,1106.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.05,0.05,12.3,1.0,0.0,16.7,0.08,0.0,0.0,0.11,-0.7,-0.7,614.0,722.0,85.0,11155.0,3652.0,253.0,281.0,90.0,285.0,313.0,91.1,62.0,102.0,60.8,8.0,44.0,5.0,1.0,52.0,671.0,46.0,39.0,1.0,10.0,4.0,0.0,0.0,0.0,0.0,7.0,5.0,4.0,14.0,1.14,12.0,0.0,0.0,1.0,1.0,0.08,0.0,0.0,0.0,1.0,0.0,44.0,29.0,28.0,14.0,2.0,13.0,5.0,8.0,21.0,37.0,0.0,862.0,70.0,429.0,378.0,64.0,10.0,862.0,488.0,15.0,6.0,1.0,572.0,7.0,4.0,0.0,18.0,26.0,1.0,1.0,0.0,0.0,68.0,22.0,17.0,56.4
+Mato Jajalo,ba BIH,MF,Udinese,34-261,1988,3.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,0.07,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,23.0,29.0,79.3,401.0,166.0,10.0,13.0,76.9,9.0,9.0,100.0,3.0,4.0,75.0,1.0,1.0,1.0,0.0,4.0,29.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,4.29,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,36.0,4.0,7.0,14.0,16.0,1.0,36.0,17.0,0.0,2.0,0.0,22.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,100.0
+Juan Jesus,br BRA,DF,Napoli,31-245,1991,7.0,7.0,599.0,1.0,0.0,0.0,0.0,2.0,0.0,0.15,0.0,0.15,0.15,0.15,0.2,0.2,0.03,0.03,6.7,1.0,0.0,25.0,0.15,0.25,1.0,0.05,0.8,0.8,404.0,449.0,90.0,7398.0,2359.0,147.0,154.0,95.5,220.0,237.0,92.8,31.0,43.0,72.1,1.0,21.0,1.0,0.0,28.0,430.0,18.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,8.0,1.2,5.0,0.0,2.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,9.0,5.0,5.0,3.0,1.0,14.0,7.0,7.0,6.0,22.0,0.0,513.0,43.0,209.0,298.0,9.0,6.0,513.0,321.0,3.0,1.0,0.0,349.0,3.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,36.0,19.0,4.0,82.6
+Þórir Jóhann Helgason,is ISL,MF,Lecce,22-135,2000,7.0,2.0,154.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.7,0.0,1.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,35.0,48.0,72.9,648.0,280.0,14.0,19.0,73.7,14.0,16.0,87.5,6.0,11.0,54.5,3.0,1.0,0.0,0.0,2.0,40.0,8.0,1.0,0.0,0.0,9.0,6.0,5.0,1.0,0.0,0.0,0.0,0.0,4.0,2.34,2.0,2.0,0.0,0.0,1.0,0.58,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,2.0,2.0,0.0,61.0,4.0,17.0,23.0,23.0,0.0,61.0,26.0,1.0,2.0,0.0,28.0,3.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,0.0
+"Luka Jović,rs SRB,""FW,MF"",Fiorentina,25-049,1997,19.0,12.0,1010.0,3.0,0.0,0.0,1.0,2.0,0.0,0.27,0.0,0.27,0.27,0.27,4.5,3.7,0.4,0.33,11.2,11.0,0.0,33.3,0.98,0.09,0.27,0.11,-1.5,-0.7,144.0,190.0,75.8,2312.0,366.0,73.0,89.0,82.0,56.0,71.0,78.9,11.0,16.0,68.8,14.0,9.0,3.0,0.0,16.0,166.0,23.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,28.0,2.5,19.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1.0,4.0,1.0,4.0,2.0,2.0,2.0,8.0,0.0,287.0,9.0,20.0,133.0,136.0,51.0,286.0,138.0,4.0,4.0,4.0,214.0,18.0,12.0,0.0,16.0,7.0,7.0,0.0,0.0,0.0,11.0,18.0,35.0,34.0"
+"Hamed Junior Traorè,ci CIV,""MF,FW"",Sassuolo,22-359,2000,11.0,6.0,591.0,0.0,3.0,0.0,0.0,1.0,0.0,0.0,0.46,0.46,0.0,0.46,1.0,1.0,0.15,0.15,6.6,4.0,2.0,50.0,0.61,0.0,0.0,0.12,-1.0,-1.0,184.0,245.0,75.1,3077.0,823.0,87.0,101.0,86.1,68.0,83.0,81.9,20.0,34.0,58.8,17.0,17.0,7.0,3.0,26.0,219.0,22.0,3.0,1.0,4.0,26.0,16.0,6.0,4.0,0.0,2.0,4.0,14.0,26.0,3.96,21.0,5.0,0.0,0.0,6.0,0.91,4.0,2.0,0.0,0.0,0.0,11.0,6.0,4.0,6.0,1.0,4.0,0.0,4.0,2.0,0.0,1.0,308.0,3.0,43.0,142.0,127.0,24.0,308.0,194.0,14.0,7.0,7.0,226.0,16.0,23.0,0.0,9.0,2.0,1.0,0.0,0.0,0.0,35.0,3.0,5.0,37.5"
+"Yayah Kallon,sl SLE,""MF,FW"",Hellas Verona,21-225,2001,16.0,6.0,623.0,1.0,1.0,0.0,0.0,1.0,0.0,0.14,0.14,0.29,0.14,0.29,0.8,0.8,0.12,0.12,6.9,3.0,0.0,30.0,0.43,0.1,0.33,0.08,0.2,0.2,114.0,177.0,64.4,1605.0,415.0,66.0,85.0,77.6,34.0,60.0,56.7,6.0,11.0,54.5,12.0,6.0,10.0,4.0,12.0,165.0,11.0,2.0,0.0,0.0,25.0,0.0,0.0,0.0,0.0,4.0,1.0,6.0,27.0,3.9,23.0,0.0,0.0,2.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,9.0,6.0,3.0,1.0,5.0,8.0,0.0,8.0,8.0,2.0,0.0,258.0,2.0,19.0,92.0,153.0,29.0,258.0,172.0,26.0,16.0,10.0,184.0,21.0,15.0,0.0,11.0,17.0,4.0,0.0,0.0,0.0,24.0,7.0,16.0,30.4"
+Pierre Kalulu,fr FRA,DF,Milan,22-250,2000,21.0,16.0,1580.0,1.0,0.0,0.0,0.0,2.0,0.0,0.06,0.0,0.06,0.06,0.06,1.4,1.4,0.08,0.08,17.6,2.0,0.0,20.0,0.11,0.1,0.5,0.14,-0.4,-0.4,947.0,1088.0,87.0,17963.0,5892.0,327.0,359.0,91.1,536.0,580.0,92.4,77.0,128.0,60.2,3.0,59.0,1.0,1.0,73.0,994.0,93.0,33.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,55.0,1.0,7.0,12.0,0.68,8.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,19.0,16.0,14.0,2.0,29.0,13.0,16.0,25.0,32.0,1.0,1254.0,87.0,582.0,606.0,81.0,13.0,1254.0,741.0,26.0,12.0,0.0,827.0,12.0,2.0,0.0,15.0,13.0,0.0,0.0,1.0,0.0,97.0,18.0,17.0,51.4
+"Yann Karamoh,fr FRA,""FW,MF"",Torino,24-217,1998,8.0,1.0,207.0,1.0,0.0,0.0,0.0,1.0,0.0,0.43,0.0,0.43,0.43,0.43,1.5,1.5,0.64,0.64,2.3,4.0,0.0,50.0,1.74,0.13,0.25,0.18,-0.5,-0.5,41.0,56.0,73.2,528.0,114.0,25.0,28.0,89.3,14.0,18.0,77.8,0.0,2.0,0.0,4.0,1.0,3.0,1.0,4.0,52.0,4.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,5.0,2.18,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,102.0,0.0,9.0,27.0,66.0,11.0,102.0,70.0,8.0,1.0,4.0,82.0,10.0,7.0,0.0,7.0,5.0,7.0,0.0,0.0,0.0,5.0,2.0,9.0,18.2"
+Rick Karsdorp,nl NED,DF,Roma,27-364,1995,9.0,7.0,547.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,6.1,0.0,0.0,0.0,0.0,0.0,0.0,0.25,-0.3,-0.3,219.0,281.0,77.9,3937.0,1156.0,93.0,104.0,89.4,103.0,121.0,85.1,22.0,41.0,53.7,5.0,9.0,7.0,1.0,16.0,226.0,54.0,1.0,2.0,1.0,12.0,0.0,0.0,0.0,0.0,53.0,1.0,6.0,13.0,2.14,10.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,11.0,10.0,6.0,2.0,0.0,0.0,0.0,6.0,13.0,1.0,334.0,25.0,122.0,137.0,79.0,6.0,334.0,170.0,11.0,5.0,2.0,190.0,10.0,3.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,35.0,4.0,1.0,80.0
+Denso Kasius,nl NED,DF,Bologna,20-127,2002,7.0,4.0,342.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.53,0.53,0.0,0.53,0.1,0.1,0.03,0.03,3.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,143.0,192.0,74.5,2576.0,864.0,65.0,72.0,90.3,53.0,74.0,71.6,20.0,36.0,55.6,6.0,6.0,8.0,6.0,9.0,156.0,35.0,1.0,0.0,3.0,12.0,0.0,0.0,0.0,0.0,34.0,1.0,3.0,15.0,3.94,13.0,0.0,0.0,0.0,2.0,0.52,2.0,0.0,0.0,0.0,0.0,12.0,6.0,7.0,4.0,1.0,6.0,3.0,3.0,3.0,6.0,0.0,243.0,6.0,75.0,105.0,65.0,3.0,243.0,127.0,9.0,10.0,1.0,144.0,11.0,7.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,18.0,1.0,4.0,20.0
+"Grigoris Kastanos,cy CYP,""MF,DF"",Salernitana,25-011,1998,12.0,2.0,306.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.13,0.13,3.4,3.0,0.0,33.3,0.88,0.0,0.0,0.05,-0.4,-0.4,99.0,140.0,70.7,1570.0,452.0,50.0,56.0,89.3,38.0,55.0,69.1,6.0,12.0,50.0,5.0,12.0,2.0,0.0,14.0,132.0,5.0,4.0,0.0,4.0,5.0,1.0,0.0,0.0,0.0,0.0,3.0,6.0,9.0,2.66,8.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,2.0,8.0,2.0,5.0,2.0,3.0,2.0,1.0,0.0,184.0,2.0,24.0,93.0,67.0,7.0,184.0,113.0,10.0,7.0,2.0,132.0,6.0,3.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,12.0,6.0,2.0,75.0"
+Moise Kean,it ITA,FW,Juventus,22-347,2000,19.0,8.0,725.0,4.0,0.0,0.0,0.0,3.0,0.0,0.5,0.0,0.5,0.5,0.5,4.7,4.7,0.58,0.58,8.1,10.0,0.0,33.3,1.24,0.13,0.4,0.16,-0.7,-0.7,97.0,134.0,72.4,1216.0,278.0,62.0,75.0,82.7,23.0,32.0,71.9,2.0,3.0,66.7,8.0,5.0,5.0,1.0,10.0,126.0,6.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,27.0,3.36,18.0,0.0,5.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,8.0,6.0,2.0,5.0,1.0,1.0,0.0,1.0,4.0,2.0,0.0,241.0,3.0,24.0,108.0,115.0,40.0,241.0,150.0,23.0,9.0,13.0,178.0,20.0,15.0,0.0,9.0,12.0,5.0,0.0,0.0,0.0,27.0,4.0,9.0,30.8
+Jakub Kiwior,pl POL,DF,Spezia,22-360,2000,17.0,17.0,1443.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,16.0,2.0,1.0,20.0,0.12,0.0,0.0,0.06,-0.6,-0.6,653.0,775.0,84.3,13165.0,4165.0,209.0,238.0,87.8,343.0,371.0,92.5,93.0,147.0,63.3,4.0,25.0,5.0,0.0,37.0,683.0,89.0,34.0,1.0,3.0,14.0,9.0,6.0,3.0,0.0,12.0,3.0,4.0,15.0,0.94,9.0,3.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,22.0,17.0,15.0,7.0,0.0,26.0,18.0,8.0,24.0,71.0,1.0,953.0,177.0,594.0,307.0,58.0,15.0,953.0,464.0,13.0,3.0,1.0,498.0,8.0,5.0,0.0,16.0,5.0,0.0,0.0,0.0,0.0,93.0,22.0,12.0,64.7
+Simon Kjær,dk DEN,DF,Milan,33-321,1989,10.0,7.0,598.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,342.0,393.0,87.0,7403.0,2630.0,99.0,112.0,88.4,176.0,186.0,94.6,64.0,90.0,71.1,0.0,31.0,1.0,0.0,30.0,388.0,5.0,4.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,4.0,0.6,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,1.0,0.0,6.0,4.0,2.0,7.0,14.0,0.0,430.0,41.0,219.0,205.0,8.0,1.0,430.0,259.0,0.0,1.0,0.0,309.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,37.0,9.0,5.0,64.3
+Teun Koopmeiners,nl NED,MF,Atalanta,24-347,1998,20.0,19.0,1745.0,6.0,3.0,2.0,4.0,5.0,0.0,0.31,0.15,0.46,0.21,0.36,5.6,2.2,0.29,0.11,19.4,14.0,5.0,43.8,0.72,0.13,0.29,0.07,0.4,1.8,798.0,1071.0,74.5,14886.0,5967.0,322.0,371.0,86.8,347.0,435.0,79.8,101.0,209.0,48.3,32.0,100.0,31.0,7.0,117.0,977.0,91.0,36.0,4.0,15.0,85.0,35.0,14.0,16.0,0.0,17.0,3.0,19.0,71.0,3.66,49.0,14.0,6.0,2.0,12.0,0.62,7.0,3.0,2.0,0.0,0.0,28.0,16.0,8.0,16.0,4.0,25.0,4.0,21.0,16.0,28.0,1.0,1281.0,70.0,332.0,571.0,391.0,38.0,1277.0,710.0,34.0,35.0,5.0,872.0,29.0,17.0,0.0,25.0,12.0,1.0,0.0,0.0,0.0,115.0,20.0,12.0,62.5
+"Filip Kostić,rs SRB,""DF,FW"",Juventus,30-101,1992,21.0,19.0,1484.0,2.0,5.0,0.0,0.0,1.0,0.0,0.12,0.3,0.42,0.12,0.42,1.6,1.6,0.1,0.1,16.5,7.0,0.0,31.8,0.42,0.09,0.29,0.07,0.4,0.4,493.0,708.0,69.6,8305.0,2711.0,237.0,283.0,83.7,191.0,257.0,74.3,50.0,109.0,45.9,37.0,32.0,30.0,20.0,49.0,619.0,87.0,7.0,2.0,3.0,132.0,27.0,2.0,24.0,0.0,53.0,2.0,34.0,54.0,3.27,41.0,8.0,3.0,0.0,7.0,0.42,5.0,0.0,2.0,0.0,0.0,29.0,20.0,12.0,13.0,4.0,17.0,1.0,16.0,6.0,13.0,0.0,868.0,17.0,124.0,359.0,393.0,31.0,868.0,459.0,53.0,26.0,12.0,557.0,35.0,8.0,0.0,24.0,6.0,0.0,0.0,0.0,0.0,85.0,6.0,7.0,46.2"
+Christian Kouamé,ci CIV,FW,Fiorentina,25-066,1997,19.0,16.0,1347.0,2.0,2.0,0.0,0.0,3.0,0.0,0.13,0.13,0.27,0.13,0.27,3.8,3.8,0.25,0.25,15.0,11.0,1.0,33.3,0.73,0.06,0.18,0.12,-1.8,-1.8,363.0,510.0,71.2,5428.0,1246.0,213.0,265.0,80.4,102.0,150.0,68.0,25.0,43.0,58.1,28.0,23.0,24.0,6.0,43.0,486.0,23.0,2.0,1.0,5.0,36.0,2.0,0.0,0.0,0.0,15.0,1.0,12.0,62.0,4.14,48.0,0.0,4.0,6.0,4.0,0.27,3.0,0.0,0.0,0.0,0.0,16.0,12.0,6.0,4.0,6.0,13.0,3.0,10.0,12.0,3.0,0.0,721.0,4.0,58.0,240.0,430.0,86.0,721.0,442.0,43.0,23.0,19.0,537.0,58.0,31.0,0.0,25.0,45.0,3.0,1.0,0.0,0.0,73.0,44.0,39.0,53.0
+Viktor Kovalenko,ua UKR,MF,Spezia,26-361,1996,10.0,5.0,390.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.08,0.08,4.3,0.0,1.0,0.0,0.0,0.0,0.0,0.07,-0.4,-0.4,134.0,167.0,80.2,2031.0,446.0,75.0,81.0,92.6,48.0,60.0,80.0,9.0,15.0,60.0,5.0,3.0,4.0,1.0,17.0,160.0,7.0,2.0,0.0,3.0,6.0,2.0,1.0,0.0,0.0,3.0,0.0,6.0,7.0,1.61,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,0.0,5.0,2.0,10.0,2.0,8.0,1.0,5.0,0.0,211.0,7.0,36.0,110.0,66.0,11.0,211.0,109.0,1.0,2.0,1.0,136.0,7.0,0.0,0.0,7.0,7.0,1.0,0.0,0.0,0.0,17.0,2.0,9.0,18.2
+Julian Kristoffersen,no NOR,FW,Salernitana,25-276,1997,1.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,2.0,2.0,0.0,4.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,25.0
+Raimonds Krollis,lv LVA,FW,Spezia,21-105,2001,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.31,0.31,0.2,1.0,0.0,100.0,6.0,0.0,0.0,0.05,-0.1,-0.1,1.0,2.0,50.0,23.0,5.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,1.0,4.0,0.0,5.0,3.0,1.0,0.0,0.0,3.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+"Rade Krunić,ba BIH,""MF,FW"",Milan,29-126,1993,10.0,7.0,631.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.14,0.14,0.0,0.14,0.5,0.5,0.08,0.08,7.0,1.0,0.0,16.7,0.14,0.0,0.0,0.09,-0.5,-0.5,152.0,198.0,76.8,2416.0,788.0,70.0,87.0,80.5,65.0,75.0,86.7,10.0,16.0,62.5,8.0,18.0,6.0,0.0,26.0,191.0,7.0,3.0,1.0,1.0,3.0,2.0,1.0,1.0,0.0,2.0,0.0,10.0,16.0,2.29,12.0,1.0,2.0,0.0,2.0,0.29,2.0,0.0,0.0,0.0,0.0,15.0,9.0,7.0,7.0,1.0,10.0,5.0,5.0,8.0,11.0,0.0,269.0,21.0,76.0,146.0,50.0,14.0,269.0,129.0,10.0,11.0,2.0,133.0,6.0,5.0,0.0,6.0,6.0,0.0,0.0,0.0,0.0,35.0,8.0,10.0,44.4"
+Marash Kumbulla,al ALB,DF,Roma,23-002,2000,4.0,2.0,134.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,76.0,81.0,93.8,1383.0,419.0,28.0,28.0,100.0,41.0,44.0,93.2,5.0,6.0,83.3,1.0,2.0,0.0,0.0,3.0,80.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.67,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,4.0,0.0,91.0,10.0,49.0,39.0,4.0,2.0,91.0,56.0,1.0,1.0,0.0,74.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,2.0,60.0
+Khvicha Kvaratskhelia,ge GEO,FW,Napoli,21-363,2001,17.0,16.0,1232.0,8.0,9.0,1.0,1.0,0.0,0.0,0.58,0.66,1.24,0.51,1.17,5.4,4.6,0.39,0.33,13.7,19.0,1.0,40.4,1.39,0.15,0.37,0.1,2.6,2.4,346.0,446.0,77.6,4795.0,873.0,217.0,244.0,88.9,89.0,115.0,77.4,20.0,39.0,51.3,28.0,16.0,18.0,4.0,33.0,428.0,15.0,2.0,6.0,5.0,26.0,4.0,1.0,1.0,0.0,9.0,3.0,14.0,70.0,5.11,44.0,1.0,9.0,4.0,16.0,1.17,8.0,1.0,4.0,2.0,0.0,24.0,10.0,5.0,6.0,13.0,11.0,0.0,11.0,1.0,4.0,1.0,675.0,5.0,56.0,211.0,417.0,102.0,674.0,437.0,65.0,24.0,47.0,514.0,39.0,31.0,0.0,9.0,24.0,4.0,2.0,0.0,0.0,58.0,2.0,5.0,28.6
+Giorgos Kyriakopoulos,gr GRE,FW,Bologna,27-005,1996,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Giorgos Kyriakopoulos,gr GRE,""FW,DF"",Sassuolo,27-005,1996,12.0,9.0,766.0,1.0,1.0,0.0,0.0,3.0,0.0,0.12,0.12,0.23,0.12,0.23,1.1,1.1,0.13,0.13,8.5,4.0,0.0,30.8,0.47,0.08,0.25,0.08,-0.1,-0.1,300.0,391.0,76.7,5430.0,2158.0,148.0,165.0,89.7,103.0,125.0,82.4,44.0,81.0,54.3,14.0,23.0,14.0,9.0,32.0,332.0,56.0,7.0,0.0,6.0,39.0,10.0,2.0,5.0,0.0,39.0,3.0,9.0,26.0,3.05,21.0,0.0,1.0,1.0,3.0,0.35,2.0,0.0,1.0,0.0,0.0,21.0,8.0,7.0,9.0,5.0,7.0,1.0,6.0,11.0,12.0,1.0,505.0,14.0,140.0,187.0,186.0,16.0,505.0,312.0,17.0,15.0,5.0,333.0,14.0,18.0,0.0,9.0,13.0,0.0,1.0,0.0,0.0,37.0,7.0,13.0,35.0"
+Sam Lammers,nl NED,FW,Sampdoria,25-286,1997,6.0,6.0,481.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.19,0.19,0.0,0.19,0.9,0.9,0.16,0.16,5.3,1.0,0.0,10.0,0.19,0.0,0.0,0.09,-0.9,-0.9,76.0,105.0,72.4,972.0,217.0,56.0,68.0,82.4,14.0,21.0,66.7,3.0,3.0,100.0,7.0,5.0,3.0,0.0,5.0,101.0,4.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,13.0,2.43,11.0,0.0,1.0,0.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,3.0,2.0,5.0,0.0,5.0,3.0,4.0,0.0,179.0,4.0,13.0,96.0,71.0,16.0,179.0,120.0,6.0,4.0,2.0,154.0,23.0,10.0,0.0,7.0,11.0,0.0,0.0,0.0,0.0,10.0,13.0,26.0,33.3
+Sam Lammers,nl NED,FW,Empoli,25-286,1997,14.0,10.0,883.0,1.0,1.0,0.0,0.0,0.0,0.0,0.1,0.1,0.2,0.1,0.2,2.3,2.3,0.23,0.23,9.8,7.0,0.0,25.0,0.71,0.04,0.14,0.08,-1.3,-1.3,143.0,230.0,62.2,1814.0,451.0,94.0,129.0,72.9,41.0,60.0,68.3,1.0,5.0,20.0,10.0,13.0,4.0,0.0,19.0,226.0,3.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,25.0,2.55,18.0,1.0,1.0,2.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,20.0,10.0,5.0,9.0,6.0,4.0,1.0,3.0,3.0,8.0,0.0,358.0,12.0,35.0,151.0,179.0,49.0,358.0,193.0,9.0,12.0,6.0,268.0,37.0,14.0,0.0,6.0,8.0,1.0,0.0,0.0,0.0,27.0,18.0,16.0,52.9
+"Kevin Lasagna,it ITA,""FW,MF"",Hellas Verona,30-184,1992,17.0,12.0,1116.0,1.0,2.0,0.0,0.0,1.0,0.0,0.08,0.16,0.24,0.08,0.24,4.8,4.8,0.38,0.38,12.4,8.0,0.0,20.5,0.65,0.03,0.13,0.12,-3.8,-3.8,109.0,183.0,59.6,1662.0,407.0,53.0,80.0,66.3,40.0,61.0,65.6,5.0,10.0,50.0,10.0,8.0,5.0,0.0,12.0,169.0,10.0,1.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,1.0,4.0,12.0,27.0,2.18,17.0,0.0,4.0,2.0,3.0,0.24,1.0,0.0,1.0,0.0,0.0,9.0,3.0,7.0,1.0,1.0,11.0,1.0,10.0,3.0,9.0,0.0,348.0,9.0,43.0,130.0,182.0,53.0,348.0,190.0,25.0,15.0,11.0,228.0,40.0,29.0,0.0,21.0,16.0,12.0,0.0,0.0,0.0,50.0,10.0,36.0,21.7"
+Armand Lauriente,fr FRA,FW,Sassuolo,24-068,1998,15.0,15.0,1224.0,4.0,3.0,1.0,1.0,5.0,1.0,0.29,0.22,0.51,0.22,0.44,2.6,1.8,0.19,0.13,13.6,16.0,6.0,44.4,1.18,0.08,0.19,0.05,1.4,1.2,331.0,456.0,72.6,5104.0,1591.0,187.0,212.0,88.2,105.0,144.0,72.9,25.0,57.0,43.9,42.0,23.0,25.0,6.0,46.0,406.0,50.0,11.0,1.0,2.0,72.0,31.0,20.0,7.0,0.0,7.0,0.0,15.0,62.0,4.56,46.0,5.0,1.0,3.0,6.0,0.44,4.0,0.0,0.0,1.0,0.0,10.0,6.0,1.0,6.0,3.0,10.0,0.0,10.0,4.0,6.0,0.0,623.0,4.0,41.0,235.0,359.0,53.0,622.0,422.0,73.0,36.0,29.0,466.0,31.0,37.0,1.0,11.0,27.0,3.0,1.0,0.0,0.0,47.0,1.0,4.0,20.0
+Valentino Lazaro,at AUT,DF,Torino,26-323,1996,15.0,13.0,1065.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.17,0.17,0.0,0.17,0.4,0.4,0.03,0.03,11.8,2.0,0.0,28.6,0.17,0.0,0.0,0.06,-0.4,-0.4,524.0,695.0,75.4,8590.0,3209.0,263.0,297.0,88.6,194.0,255.0,76.1,48.0,99.0,48.5,22.0,37.0,16.0,8.0,58.0,525.0,168.0,20.0,0.0,1.0,65.0,33.0,9.0,15.0,1.0,115.0,2.0,16.0,42.0,3.55,25.0,13.0,2.0,0.0,3.0,0.25,2.0,1.0,0.0,0.0,0.0,10.0,5.0,7.0,0.0,3.0,11.0,2.0,9.0,2.0,18.0,0.0,785.0,29.0,149.0,320.0,325.0,22.0,785.0,381.0,38.0,21.0,8.0,454.0,15.0,4.0,0.0,11.0,3.0,1.0,0.0,1.0,0.0,73.0,10.0,10.0,50.0
+Marko Lazetić,rs SRB,FW,Milan,19-019,2004,1.0,0.0,9.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.63,0.63,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,1.0,1.0,100.0,18.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,2.0,2.0,1.0,4.0,2.0,0.0,0.0,0.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+"Darko Lazović,rs SRB,""DF,MF"",Hellas Verona,32-148,1990,17.0,16.0,1323.0,3.0,3.0,0.0,0.0,0.0,0.0,0.2,0.2,0.41,0.2,0.41,2.4,2.4,0.17,0.17,14.7,8.0,1.0,32.0,0.54,0.12,0.38,0.1,0.6,0.6,310.0,491.0,63.1,5213.0,2201.0,147.0,188.0,78.2,117.0,166.0,70.5,34.0,87.0,39.1,20.0,28.0,21.0,9.0,53.0,424.0,61.0,4.0,2.0,1.0,64.0,17.0,8.0,5.0,0.0,40.0,6.0,25.0,33.0,2.24,22.0,8.0,0.0,0.0,3.0,0.2,1.0,2.0,0.0,0.0,0.0,17.0,9.0,6.0,8.0,3.0,8.0,2.0,6.0,10.0,13.0,0.0,626.0,19.0,110.0,237.0,290.0,38.0,626.0,309.0,44.0,23.0,14.0,374.0,22.0,8.0,0.0,5.0,2.0,6.0,0.0,0.0,0.0,81.0,5.0,13.0,27.8"
+Manuel Lazzari,it ITA,DF,Lazio,29-073,1993,17.0,15.0,1184.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,13.2,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,624.0,708.0,88.1,8743.0,3137.0,370.0,397.0,93.2,209.0,237.0,88.2,22.0,30.0,73.3,6.0,23.0,8.0,4.0,32.0,587.0,120.0,12.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,108.0,1.0,12.0,18.0,1.37,13.0,1.0,0.0,2.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,26.0,16.0,10.0,12.0,4.0,14.0,3.0,11.0,12.0,21.0,1.0,832.0,30.0,292.0,395.0,155.0,13.0,832.0,444.0,47.0,34.0,9.0,536.0,15.0,3.0,0.0,9.0,27.0,0.0,0.0,0.0,0.0,54.0,5.0,10.0,33.3
+"Rafael Leão,pt POR,""FW,MF"",Milan,23-245,1999,20.0,16.0,1434.0,8.0,5.0,0.0,0.0,6.0,1.0,0.5,0.31,0.82,0.5,0.82,6.3,6.3,0.39,0.39,15.9,15.0,0.0,25.9,0.94,0.14,0.53,0.11,1.7,1.7,332.0,450.0,73.8,6007.0,1907.0,149.0,192.0,77.6,132.0,162.0,81.5,42.0,63.0,66.7,30.0,41.0,35.0,9.0,74.0,428.0,20.0,2.0,2.0,14.0,35.0,3.0,0.0,0.0,0.0,15.0,2.0,15.0,67.0,4.2,47.0,1.0,3.0,5.0,8.0,0.5,7.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,2.0,1.0,1.0,8.0,4.0,0.0,639.0,6.0,33.0,263.0,357.0,92.0,639.0,433.0,75.0,52.0,43.0,492.0,38.0,21.0,1.0,13.0,16.0,7.0,0.0,0.0,0.0,50.0,15.0,15.0,50.0"
+"Mehdi Léris,dz ALG,""MF,DF"",Sampdoria,24-263,1998,19.0,16.0,1355.0,0.0,1.0,0.0,0.0,10.0,0.0,0.0,0.07,0.07,0.0,0.07,1.9,1.9,0.13,0.13,15.1,6.0,0.0,40.0,0.4,0.0,0.0,0.13,-1.9,-1.9,350.0,527.0,66.4,5259.0,1901.0,204.0,243.0,84.0,104.0,165.0,63.0,27.0,58.0,46.6,11.0,24.0,10.0,3.0,32.0,497.0,26.0,1.0,3.0,5.0,35.0,0.0,0.0,0.0,0.0,25.0,4.0,26.0,24.0,1.6,18.0,0.0,3.0,2.0,2.0,0.13,0.0,0.0,2.0,0.0,0.0,36.0,28.0,20.0,11.0,5.0,23.0,3.0,20.0,17.0,13.0,0.0,725.0,22.0,166.0,305.0,266.0,36.0,725.0,414.0,26.0,14.0,5.0,485.0,46.0,30.0,0.0,32.0,25.0,4.0,0.0,0.0,0.0,88.0,37.0,21.0,63.8"
+Karol Linetty,pl POL,MF,Torino,28-008,1995,20.0,14.0,1195.0,1.0,0.0,0.0,0.0,6.0,0.0,0.08,0.0,0.08,0.08,0.08,0.8,0.8,0.06,0.06,13.3,4.0,0.0,40.0,0.3,0.1,0.25,0.08,0.2,0.2,491.0,580.0,84.7,8113.0,1859.0,238.0,273.0,87.2,206.0,225.0,91.6,35.0,47.0,74.5,14.0,49.0,4.0,1.0,48.0,549.0,27.0,17.0,2.0,9.0,10.0,9.0,2.0,5.0,0.0,1.0,4.0,7.0,27.0,2.04,20.0,3.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,13.0,5.0,18.0,2.0,16.0,5.0,11.0,14.0,16.0,0.0,716.0,23.0,109.0,426.0,183.0,17.0,716.0,362.0,14.0,16.0,3.0,453.0,16.0,9.0,0.0,29.0,9.0,3.0,0.0,0.0,0.0,78.0,14.0,14.0,50.0
+"Marcin Listkowski,pl POL,""MF,FW"",Lecce,25-000,1998,5.0,0.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,16.0,24.0,66.7,204.0,71.0,14.0,16.0,87.5,0.0,3.0,0.0,1.0,4.0,25.0,0.0,0.0,0.0,0.0,1.0,23.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.15,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,34.0,2.0,10.0,11.0,13.0,1.0,34.0,17.0,6.0,1.0,0.0,20.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0"
+Diego Llorente,es ESP,DF,Roma,29-178,1993,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Stanislav Lobotka,sk SVK,MF,Napoli,28-077,1994,21.0,19.0,1745.0,1.0,1.0,0.0,0.0,1.0,0.0,0.05,0.05,0.1,0.05,0.1,0.3,0.3,0.01,0.01,19.4,2.0,0.0,40.0,0.1,0.2,0.5,0.05,0.7,0.7,1225.0,1300.0,94.2,20117.0,5070.0,614.0,640.0,95.9,479.0,502.0,95.4,99.0,115.0,86.1,9.0,122.0,6.0,0.0,95.0,1279.0,21.0,17.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,43.0,2.22,40.0,0.0,1.0,2.0,5.0,0.26,4.0,0.0,1.0,0.0,0.0,49.0,24.0,22.0,19.0,8.0,17.0,5.0,12.0,8.0,10.0,0.0,1427.0,44.0,307.0,928.0,201.0,7.0,1427.0,929.0,24.0,35.0,4.0,1113.0,14.0,8.0,0.0,14.0,37.0,0.0,0.0,0.0,0.0,138.0,8.0,11.0,42.1
+Manuel Locatelli,it ITA,MF,Juventus,25-033,1998,18.0,17.0,1400.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.06,0.06,15.6,7.0,0.0,43.8,0.45,0.0,0.0,0.06,-0.9,-0.9,653.0,803.0,81.3,12154.0,3999.0,290.0,331.0,87.6,258.0,298.0,86.6,89.0,133.0,66.9,10.0,84.0,8.0,0.0,78.0,764.0,39.0,30.0,0.0,16.0,8.0,4.0,0.0,3.0,0.0,4.0,0.0,17.0,32.0,2.05,25.0,3.0,2.0,1.0,5.0,0.32,3.0,0.0,0.0,1.0,0.0,34.0,19.0,15.0,15.0,4.0,26.0,10.0,16.0,18.0,27.0,0.0,975.0,41.0,261.0,550.0,174.0,11.0,975.0,463.0,18.0,10.0,3.0,649.0,19.0,13.0,0.0,25.0,20.0,0.0,0.0,0.0,0.0,100.0,24.0,14.0,63.2
+Luka Lochoshvili,ge GEO,DF,Cremonese,24-257,1998,14.0,14.0,1136.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.3,0.3,0.02,0.02,12.6,1.0,0.0,25.0,0.08,0.0,0.0,0.07,-0.3,-0.3,394.0,503.0,78.3,7165.0,2683.0,151.0,168.0,89.9,217.0,246.0,88.2,24.0,75.0,32.0,4.0,32.0,3.0,1.0,52.0,480.0,22.0,17.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,12.0,0.95,8.0,0.0,2.0,0.0,2.0,0.16,1.0,0.0,1.0,0.0,0.0,31.0,10.0,21.0,7.0,3.0,22.0,4.0,18.0,14.0,44.0,0.0,645.0,65.0,329.0,281.0,45.0,5.0,645.0,342.0,12.0,13.0,0.0,368.0,8.0,4.0,0.0,23.0,5.0,1.0,0.0,1.0,0.0,57.0,20.0,11.0,64.5
+"Ademola Lookman,ng NGA,""FW,MF"",Atalanta,25-113,1997,20.0,15.0,1210.0,12.0,3.0,3.0,3.0,2.0,0.0,0.89,0.22,1.12,0.67,0.89,7.5,5.1,0.55,0.38,13.4,13.0,1.0,36.1,0.97,0.25,0.69,0.14,4.5,3.9,342.0,443.0,77.2,4863.0,1460.0,185.0,217.0,85.3,108.0,139.0,77.7,20.0,34.0,58.8,24.0,23.0,23.0,3.0,57.0,407.0,36.0,5.0,5.0,2.0,32.0,16.0,2.0,7.0,0.0,7.0,0.0,12.0,58.0,4.31,40.0,6.0,4.0,5.0,9.0,0.67,5.0,0.0,2.0,1.0,0.0,8.0,3.0,2.0,4.0,2.0,13.0,0.0,13.0,3.0,0.0,0.0,588.0,1.0,37.0,243.0,315.0,85.0,585.0,390.0,50.0,17.0,22.0,464.0,31.0,34.0,0.0,12.0,27.0,9.0,1.0,0.0,0.0,60.0,2.0,7.0,22.2"
+Maxime Lopez,fr FRA,MF,Sassuolo,25-068,1997,14.0,12.0,1120.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,12.4,2.0,0.0,33.3,0.16,0.0,0.0,0.09,-0.5,-0.5,665.0,762.0,87.3,11512.0,4137.0,308.0,334.0,92.2,267.0,306.0,87.3,71.0,93.0,76.3,17.0,91.0,6.0,2.0,104.0,739.0,21.0,14.0,2.0,6.0,12.0,5.0,1.0,1.0,0.0,2.0,2.0,6.0,33.0,2.66,31.0,2.0,0.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,24.0,9.0,15.0,7.0,2.0,11.0,1.0,10.0,11.0,11.0,0.0,865.0,33.0,215.0,509.0,149.0,6.0,865.0,543.0,27.0,26.0,1.0,649.0,9.0,8.0,0.0,11.0,8.0,0.0,0.0,0.0,0.0,87.0,3.0,2.0,60.0
+Matteo Lovato,it ITA,DF,Salernitana,22-361,2000,7.0,4.0,377.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,153.0,180.0,85.0,2855.0,1066.0,56.0,61.0,91.8,80.0,92.0,87.0,15.0,22.0,68.2,0.0,7.0,0.0,0.0,7.0,172.0,8.0,8.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,6.0,2.0,0.0,5.0,2.0,3.0,6.0,16.0,2.0,222.0,21.0,118.0,98.0,9.0,0.0,222.0,129.0,1.0,0.0,0.0,142.0,3.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,20.0,9.0,6.0,60.0
+Sandi Lovrić,si SVN,MF,Udinese,24-319,1998,20.0,12.0,1048.0,2.0,1.0,0.0,0.0,2.0,0.0,0.17,0.09,0.26,0.17,0.26,1.8,1.8,0.16,0.16,11.6,5.0,2.0,13.9,0.43,0.06,0.4,0.05,0.2,0.2,399.0,500.0,79.8,6682.0,1833.0,191.0,217.0,88.0,136.0,163.0,83.4,44.0,79.0,55.7,21.0,55.0,13.0,4.0,59.0,468.0,29.0,13.0,2.0,10.0,38.0,13.0,3.0,6.0,0.0,3.0,3.0,7.0,41.0,3.52,28.0,5.0,3.0,1.0,4.0,0.34,3.0,0.0,0.0,0.0,0.0,24.0,10.0,7.0,11.0,6.0,8.0,0.0,8.0,8.0,13.0,0.0,656.0,18.0,90.0,332.0,246.0,28.0,656.0,400.0,19.0,20.0,5.0,443.0,28.0,10.0,0.0,16.0,12.0,1.0,0.0,0.0,0.0,70.0,2.0,5.0,28.6
+Hirving Lozano,mx MEX,FW,Napoli,27-195,1995,20.0,11.0,981.0,3.0,3.0,1.0,1.0,2.0,0.0,0.28,0.28,0.55,0.18,0.46,4.6,3.8,0.42,0.35,10.9,10.0,0.0,33.3,0.92,0.07,0.2,0.13,-1.6,-1.8,252.0,339.0,74.3,3672.0,1015.0,139.0,158.0,88.0,87.0,109.0,79.8,16.0,30.0,53.3,19.0,15.0,25.0,14.0,35.0,333.0,4.0,0.0,0.0,1.0,40.0,1.0,0.0,0.0,0.0,3.0,2.0,15.0,37.0,3.4,30.0,0.0,2.0,2.0,7.0,0.64,7.0,0.0,0.0,0.0,0.0,11.0,6.0,5.0,4.0,2.0,18.0,0.0,18.0,4.0,5.0,0.0,472.0,4.0,47.0,159.0,274.0,53.0,471.0,335.0,51.0,14.0,11.0,361.0,29.0,8.0,0.0,19.0,21.0,2.0,0.0,0.0,0.0,36.0,4.0,6.0,40.0
+Jhon Lucumí,co COL,DF,Bologna,24-229,1998,18.0,18.0,1550.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.06,0.06,0.0,0.06,0.4,0.4,0.02,0.02,17.2,2.0,0.0,33.3,0.12,0.0,0.0,0.07,-0.4,-0.4,802.0,931.0,86.1,15063.0,5187.0,327.0,345.0,94.8,362.0,398.0,91.0,101.0,149.0,67.8,4.0,51.0,5.0,1.0,44.0,881.0,49.0,38.0,1.0,12.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,12.0,0.7,10.0,0.0,1.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,35.0,24.0,23.0,11.0,1.0,21.0,14.0,7.0,23.0,64.0,0.0,1112.0,149.0,603.0,490.0,26.0,10.0,1112.0,607.0,15.0,7.0,2.0,680.0,8.0,5.0,0.0,15.0,9.0,0.0,0.0,2.0,0.0,111.0,27.0,15.0,64.3
+José Luis Palomino,ar ARG,DF,Atalanta,33-036,1990,5.0,5.0,360.0,1.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.25,0.25,0.25,0.1,0.1,0.03,0.03,4.0,2.0,0.0,66.7,0.5,0.33,0.5,0.04,0.9,0.9,197.0,241.0,81.7,3713.0,1407.0,65.0,76.0,85.5,112.0,124.0,90.3,19.0,32.0,59.4,1.0,10.0,2.0,1.0,13.0,227.0,14.0,13.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,3.0,8.0,1.0,0.0,3.0,2.0,1.0,15.0,12.0,0.0,288.0,28.0,124.0,154.0,12.0,4.0,288.0,143.0,1.0,0.0,0.0,161.0,2.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,1.0,35.0,13.0,9.0,59.1
+Romelu Lukaku,be BEL,FW,Inter,29-273,1993,9.0,4.0,395.0,1.0,1.0,0.0,0.0,0.0,0.0,0.23,0.23,0.46,0.23,0.46,1.3,1.3,0.3,0.3,4.4,4.0,0.0,44.4,0.91,0.11,0.25,0.15,-0.3,-0.3,53.0,85.0,62.4,604.0,105.0,32.0,45.0,71.1,13.0,18.0,72.2,1.0,4.0,25.0,5.0,1.0,5.0,1.0,7.0,83.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,10.0,2.28,8.0,0.0,1.0,0.0,3.0,0.68,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,123.0,2.0,5.0,35.0,83.0,30.0,123.0,70.0,2.0,4.0,1.0,106.0,16.0,8.0,0.0,4.0,1.0,3.0,0.0,0.0,0.0,6.0,12.0,14.0,46.2
+Saša Lukić,rs SRB,MF,Torino,26-181,1996,16.0,13.0,1195.0,2.0,0.0,1.0,1.0,4.0,0.0,0.15,0.0,0.15,0.08,0.08,1.7,0.9,0.13,0.07,13.3,3.0,1.0,20.0,0.23,0.07,0.33,0.06,0.3,0.1,627.0,732.0,85.7,11788.0,2410.0,232.0,265.0,87.5,307.0,339.0,90.6,78.0,102.0,76.5,16.0,54.0,8.0,3.0,44.0,692.0,38.0,29.0,1.0,6.0,25.0,4.0,0.0,4.0,0.0,5.0,2.0,7.0,44.0,3.31,35.0,3.0,2.0,3.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,21.0,14.0,10.0,10.0,1.0,17.0,7.0,10.0,13.0,10.0,0.0,850.0,29.0,129.0,537.0,190.0,23.0,849.0,448.0,26.0,18.0,4.0,556.0,17.0,8.0,0.0,26.0,10.0,0.0,0.0,0.0,0.0,81.0,22.0,22.0,50.0
+Sebastiano Luperto,it ITA,DF,Empoli,26-157,1996,19.0,19.0,1624.0,1.0,0.0,0.0,0.0,3.0,2.0,0.06,0.0,0.06,0.06,0.06,0.4,0.4,0.02,0.02,18.0,3.0,0.0,50.0,0.17,0.17,0.33,0.07,0.6,0.6,725.0,836.0,86.7,13915.0,4900.0,246.0,259.0,95.0,396.0,431.0,91.9,75.0,131.0,57.3,2.0,33.0,2.0,1.0,41.0,720.0,115.0,47.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,4.0,9.0,0.5,7.0,1.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,18.0,8.0,11.0,6.0,1.0,26.0,19.0,7.0,19.0,84.0,0.0,1011.0,218.0,605.0,389.0,23.0,7.0,1011.0,534.0,6.0,4.0,1.0,552.0,4.0,2.0,1.0,11.0,13.0,0.0,0.0,0.0,0.0,87.0,29.0,28.0,50.9
+Charalambos Lykogiannis,gr GRE,DF,Bologna,29-111,1993,16.0,10.0,894.0,1.0,0.0,0.0,0.0,3.0,0.0,0.1,0.0,0.1,0.1,0.1,0.5,0.5,0.05,0.05,9.9,5.0,4.0,31.3,0.5,0.06,0.2,0.03,0.5,0.5,384.0,552.0,69.6,6490.0,2653.0,184.0,208.0,88.5,161.0,218.0,73.9,31.0,85.0,36.5,14.0,35.0,12.0,9.0,35.0,458.0,91.0,7.0,1.0,7.0,53.0,11.0,6.0,3.0,0.0,73.0,3.0,23.0,23.0,2.32,15.0,4.0,2.0,1.0,1.0,0.1,0.0,1.0,0.0,0.0,0.0,10.0,5.0,3.0,4.0,3.0,6.0,3.0,3.0,15.0,27.0,0.0,655.0,27.0,198.0,297.0,168.0,3.0,655.0,347.0,23.0,16.0,0.0,411.0,7.0,0.0,0.0,11.0,9.0,1.0,0.0,0.0,0.0,47.0,14.0,13.0,51.9
+Giulio Maggiore,it ITA,MF,Salernitana,24-335,1998,10.0,9.0,653.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,7.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,273.0,358.0,76.3,4772.0,1288.0,121.0,153.0,79.1,117.0,132.0,88.6,28.0,50.0,56.0,3.0,30.0,11.0,0.0,46.0,347.0,7.0,5.0,3.0,3.0,2.0,0.0,0.0,0.0,0.0,1.0,4.0,6.0,14.0,1.93,11.0,0.0,2.0,1.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,14.0,6.0,6.0,5.0,3.0,17.0,4.0,13.0,8.0,4.0,0.0,436.0,11.0,98.0,272.0,67.0,5.0,436.0,223.0,5.0,2.0,0.0,266.0,13.0,3.0,0.0,11.0,9.0,0.0,0.0,1.0,0.0,59.0,6.0,9.0,40.0
+Giangiacomo Magnani,it ITA,DF,Hellas Verona,27-129,1995,9.0,4.0,426.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,4.7,1.0,0.0,25.0,0.21,0.0,0.0,0.08,-0.3,-0.3,82.0,119.0,68.9,1844.0,771.0,23.0,30.0,76.7,43.0,54.0,79.6,15.0,30.0,50.0,1.0,7.0,1.0,0.0,8.0,116.0,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,4.0,0.85,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,7.0,5.0,0.0,10.0,8.0,2.0,10.0,25.0,0.0,190.0,39.0,97.0,86.0,8.0,3.0,190.0,68.0,0.0,2.0,0.0,65.0,2.0,0.0,0.0,9.0,3.0,0.0,0.0,0.0,0.0,24.0,13.0,10.0,56.5
+Mike Maignan,fr FRA,GK,Milan,27-222,1995,7.0,7.0,630.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,186.0,241.0,77.2,5066.0,3245.0,32.0,32.0,100.0,91.0,92.0,98.9,62.0,113.0,54.9,0.0,7.0,0.0,0.0,0.0,213.0,25.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,256.0,200.0,256.0,0.0,0.0,0.0,256.0,188.0,0.0,0.0,0.0,161.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,13.0,1.0,0.0,100.0
+Jean-Victor Makengo,fr FRA,MF,Udinese,24-243,1998,16.0,11.0,805.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.11,0.11,0.0,0.11,0.4,0.4,0.04,0.04,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,264.0,316.0,83.5,3718.0,884.0,167.0,180.0,92.8,79.0,96.0,82.3,9.0,13.0,69.2,5.0,19.0,6.0,1.0,36.0,315.0,1.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,13.0,1.45,11.0,0.0,0.0,1.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,16.0,13.0,7.0,7.0,2.0,8.0,2.0,6.0,9.0,3.0,0.0,393.0,11.0,64.0,223.0,112.0,6.0,393.0,258.0,18.0,17.0,0.0,290.0,15.0,11.0,0.0,9.0,13.0,0.0,0.0,0.0,0.0,39.0,5.0,1.0,83.3
+Lorenzo Malagrida,it ITA,MF,Sampdoria,19-109,2003,1.0,0.0,10.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.74,0.74,0.1,1.0,0.0,100.0,9.0,0.0,0.0,0.08,-0.1,-0.1,2.0,2.0,100.0,19.0,16.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,0.0,1.0,1.0,2.0,1.0,4.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Daniel Maldini,it ITA,""FW,MF"",Spezia,21-122,2001,9.0,1.0,322.0,1.0,0.0,0.0,0.0,0.0,0.0,0.28,0.0,0.28,0.28,0.28,0.7,0.7,0.21,0.21,3.6,4.0,0.0,57.1,1.12,0.14,0.25,0.11,0.3,0.3,76.0,105.0,72.4,1018.0,191.0,42.0,52.0,80.8,22.0,28.0,78.6,4.0,10.0,40.0,1.0,6.0,3.0,1.0,4.0,95.0,10.0,1.0,0.0,0.0,6.0,4.0,4.0,0.0,0.0,0.0,0.0,3.0,10.0,2.8,6.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,0.0,3.0,4.0,4.0,0.0,4.0,1.0,6.0,0.0,156.0,6.0,20.0,71.0,66.0,10.0,156.0,80.0,7.0,6.0,2.0,96.0,12.0,2.0,0.0,5.0,8.0,0.0,0.0,0.0,0.0,16.0,5.0,10.0,33.3"
+Youssef Maleh,it ITA,MF,Fiorentina,24-172,1998,7.0,4.0,297.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.17,0.17,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.6,-0.6,95.0,116.0,81.9,1462.0,376.0,55.0,63.0,87.3,31.0,35.0,88.6,7.0,12.0,58.3,6.0,8.0,5.0,2.0,11.0,111.0,4.0,3.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,7.0,2.12,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,3.0,0.0,5.0,0.0,5.0,1.0,3.0,0.0,150.0,4.0,18.0,79.0,53.0,11.0,150.0,93.0,3.0,4.0,1.0,96.0,6.0,6.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,20.0,3.0,4.0,42.9
+Youssef Maleh,it ITA,MF,Lecce,24-172,1998,5.0,2.0,177.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.09,0.09,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,35.0,50.0,70.0,488.0,114.0,23.0,28.0,82.1,11.0,16.0,68.8,1.0,3.0,33.3,1.0,4.0,1.0,0.0,5.0,48.0,2.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,2.0,4.0,2.0,4.0,0.0,4.0,0.0,4.0,0.0,80.0,4.0,25.0,30.0,25.0,3.0,80.0,33.0,2.0,1.0,1.0,37.0,2.0,3.0,0.0,8.0,1.0,1.0,0.0,0.0,0.0,13.0,5.0,2.0,71.4
+"Ruslan Malinovskyi,ua UKR,""MF,FW"",Atalanta,29-282,1993,15.0,5.0,553.0,1.0,2.0,0.0,0.0,2.0,0.0,0.16,0.33,0.49,0.16,0.49,0.6,0.6,0.1,0.1,6.1,6.0,0.0,31.6,0.98,0.05,0.17,0.03,0.4,0.4,248.0,332.0,74.7,4851.0,1645.0,106.0,123.0,86.2,97.0,121.0,80.2,39.0,64.0,60.9,13.0,36.0,15.0,0.0,50.0,304.0,23.0,8.0,2.0,11.0,23.0,13.0,6.0,6.0,0.0,2.0,5.0,6.0,26.0,4.25,16.0,7.0,1.0,1.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,6.0,3.0,8.0,1.0,7.0,5.0,2.0,0.0,425.0,2.0,61.0,220.0,152.0,8.0,425.0,278.0,19.0,17.0,3.0,303.0,21.0,9.0,0.0,10.0,11.0,0.0,0.0,0.0,0.0,57.0,5.0,7.0,41.7"
+Gianluca Mancini,it ITA,DF,Roma,26-299,1996,21.0,21.0,1731.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.05,0.05,0.0,0.05,1.1,1.1,0.06,0.06,19.2,2.0,0.0,16.7,0.1,0.0,0.0,0.09,-1.1,-1.1,812.0,987.0,82.3,15657.0,5566.0,300.0,332.0,90.4,396.0,439.0,90.2,105.0,187.0,56.1,8.0,60.0,9.0,3.0,45.0,938.0,43.0,37.0,1.0,14.0,15.0,0.0,0.0,0.0,0.0,4.0,6.0,8.0,23.0,1.2,19.0,0.0,3.0,1.0,2.0,0.1,1.0,0.0,0.0,1.0,0.0,29.0,14.0,22.0,6.0,1.0,19.0,8.0,11.0,33.0,40.0,0.0,1137.0,132.0,567.0,520.0,60.0,15.0,1137.0,697.0,9.0,8.0,0.0,822.0,8.0,5.0,0.0,24.0,16.0,1.0,0.0,0.0,0.0,66.0,36.0,18.0,66.7
+Rolando Mandragora,it ITA,MF,Fiorentina,25-226,1997,15.0,10.0,916.0,1.0,1.0,0.0,0.0,5.0,0.0,0.1,0.1,0.2,0.1,0.2,0.8,0.8,0.08,0.08,10.2,4.0,0.0,18.2,0.39,0.05,0.25,0.04,0.2,0.2,405.0,492.0,82.3,7883.0,2377.0,152.0,178.0,85.4,190.0,211.0,90.0,50.0,72.0,69.4,14.0,58.0,8.0,3.0,80.0,455.0,35.0,21.0,1.0,11.0,26.0,12.0,6.0,3.0,0.0,2.0,2.0,8.0,41.0,4.03,31.0,6.0,3.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,22.0,12.0,6.0,13.0,3.0,10.0,1.0,9.0,9.0,15.0,0.0,614.0,19.0,93.0,348.0,179.0,22.0,614.0,328.0,13.0,11.0,3.0,384.0,10.0,4.0,0.0,19.0,9.0,1.0,0.0,0.0,0.0,54.0,15.0,14.0,51.7
+Riccardo Marchizza,it ITA,DF,Sassuolo,24-321,1998,4.0,1.0,107.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.84,0.84,0.0,0.84,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,52.0,71.2,633.0,175.0,18.0,21.0,85.7,15.0,21.0,71.4,4.0,10.0,40.0,1.0,4.0,0.0,0.0,3.0,38.0,14.0,2.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,2.0,1.68,2.0,0.0,0.0,0.0,1.0,0.84,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,60.0,4.0,15.0,30.0,15.0,0.0,60.0,30.0,1.0,3.0,0.0,31.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,5.0,2.0,0.0,100.0
+Gian Marco Ferrari,it ITA,DF,Sassuolo,30-360,1992,19.0,17.0,1529.0,1.0,0.0,0.0,0.0,5.0,0.0,0.06,0.0,0.06,0.06,0.06,0.9,0.9,0.05,0.05,17.0,1.0,0.0,20.0,0.06,0.2,1.0,0.18,0.1,0.1,704.0,828.0,85.0,14552.0,5164.0,205.0,225.0,91.1,385.0,425.0,90.6,105.0,157.0,66.9,1.0,42.0,2.0,0.0,55.0,732.0,94.0,64.0,0.0,13.0,1.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,12.0,0.71,10.0,1.0,0.0,1.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,19.0,13.0,9.0,9.0,1.0,17.0,14.0,3.0,15.0,62.0,3.0,959.0,144.0,513.0,419.0,33.0,9.0,959.0,526.0,8.0,6.0,0.0,586.0,5.0,1.0,0.0,17.0,24.0,0.0,0.0,2.0,0.0,65.0,24.0,12.0,66.7
+Pablo Marí,es ESP,DF,Monza,29-163,1993,14.0,12.0,1138.0,1.0,0.0,0.0,0.0,2.0,0.0,0.08,0.0,0.08,0.08,0.08,0.4,0.4,0.03,0.03,12.6,2.0,0.0,40.0,0.16,0.2,0.5,0.07,0.6,0.6,563.0,652.0,86.3,11363.0,4396.0,165.0,187.0,88.2,318.0,341.0,93.3,74.0,108.0,68.5,1.0,39.0,0.0,0.0,25.0,610.0,39.0,21.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,5.0,4.0,0.32,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,9.0,15.0,3.0,0.0,4.0,4.0,0.0,14.0,45.0,2.0,760.0,124.0,428.0,320.0,14.0,8.0,760.0,400.0,1.0,2.0,0.0,474.0,3.0,2.0,0.0,10.0,6.0,0.0,0.0,0.0,0.0,63.0,22.0,10.0,68.8
+Răzvan Marin,ro ROU,MF,Empoli,26-263,1996,20.0,15.0,1413.0,2.0,2.0,0.0,0.0,5.0,0.0,0.13,0.13,0.25,0.13,0.25,0.7,0.7,0.05,0.05,15.7,6.0,4.0,35.3,0.38,0.12,0.33,0.04,1.3,1.3,668.0,830.0,80.5,11954.0,4304.0,296.0,310.0,95.5,267.0,320.0,83.4,81.0,141.0,57.4,24.0,51.0,13.0,4.0,56.0,729.0,97.0,55.0,2.0,6.0,53.0,40.0,16.0,14.0,0.0,2.0,4.0,18.0,45.0,2.87,29.0,15.0,0.0,1.0,2.0,0.13,0.0,2.0,0.0,0.0,0.0,30.0,13.0,20.0,10.0,0.0,20.0,10.0,10.0,12.0,18.0,0.0,955.0,51.0,275.0,491.0,201.0,4.0,955.0,561.0,14.0,22.0,1.0,597.0,13.0,14.0,0.0,17.0,11.0,0.0,0.0,1.0,0.0,92.0,8.0,6.0,57.1
+Marlon,br BRA,DF,Monza,27-156,1995,17.0,13.0,1066.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,11.8,1.0,0.0,33.3,0.08,0.0,0.0,0.04,-0.1,-0.1,642.0,697.0,92.1,11341.0,4020.0,260.0,279.0,93.2,336.0,354.0,94.9,40.0,52.0,76.9,1.0,55.0,5.0,2.0,44.0,659.0,38.0,25.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,4.0,0.34,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,12.0,10.0,10.0,0.0,7.0,2.0,5.0,15.0,34.0,0.0,799.0,71.0,355.0,415.0,31.0,5.0,799.0,452.0,13.0,7.0,0.0,564.0,2.0,1.0,0.0,13.0,4.0,0.0,0.0,0.0,1.0,47.0,26.0,12.0,68.4
+Luca Marrone,it ITA,DF,Monza,32-319,1990,2.0,2.0,135.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,78.0,84.0,92.9,1371.0,634.0,34.0,35.0,97.1,39.0,41.0,95.1,5.0,8.0,62.5,0.0,0.0,0.0,0.0,4.0,78.0,6.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,4.0,1.0,93.0,12.0,66.0,25.0,2.0,1.0,93.0,59.0,0.0,0.0,0.0,64.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,8.0,4.0,5.0,44.4
+Lautaro Martínez,ar ARG,FW,Inter,25-172,1997,21.0,19.0,1675.0,12.0,3.0,1.0,1.0,1.0,0.0,0.64,0.16,0.81,0.59,0.75,9.4,8.6,0.51,0.46,18.6,28.0,0.0,38.4,1.5,0.15,0.39,0.12,2.6,2.4,309.0,427.0,72.4,4816.0,1113.0,157.0,210.0,74.8,106.0,133.0,79.7,23.0,30.0,76.7,29.0,23.0,14.0,0.0,52.0,392.0,34.0,1.0,4.0,6.0,7.0,0.0,0.0,0.0,0.0,2.0,1.0,13.0,58.0,3.11,42.0,1.0,5.0,6.0,9.0,0.48,4.0,0.0,1.0,2.0,1.0,13.0,6.0,1.0,8.0,4.0,20.0,1.0,19.0,9.0,12.0,1.0,666.0,16.0,55.0,288.0,331.0,105.0,665.0,370.0,32.0,20.0,14.0,491.0,40.0,29.0,0.0,31.0,41.0,7.0,1.0,0.0,0.0,57.0,24.0,28.0,46.2
+Lucas Martínez Quarta,ar ARG,DF,Fiorentina,26-276,1996,15.0,13.0,1181.0,1.0,1.0,0.0,0.0,2.0,0.0,0.08,0.08,0.15,0.08,0.15,1.7,1.7,0.13,0.13,13.1,8.0,0.0,50.0,0.61,0.06,0.13,0.11,-0.7,-0.7,722.0,872.0,82.8,15775.0,6255.0,207.0,233.0,88.8,385.0,424.0,90.8,124.0,189.0,65.6,5.0,65.0,4.0,0.0,69.0,843.0,27.0,25.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,6.0,13.0,0.99,9.0,0.0,3.0,0.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,49.0,26.0,28.0,19.0,2.0,25.0,13.0,12.0,27.0,45.0,1.0,1053.0,78.0,485.0,515.0,67.0,23.0,1053.0,623.0,16.0,20.0,1.0,649.0,6.0,2.0,0.0,9.0,19.0,0.0,0.0,0.0,0.0,103.0,46.0,18.0,71.9
+Adam Marušić,me MNE,DF,Lazio,30-116,1992,21.0,20.0,1828.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.05,0.05,0.0,0.05,0.4,0.4,0.02,0.02,20.3,6.0,0.0,54.5,0.3,0.0,0.0,0.04,-0.4,-0.4,1029.0,1192.0,86.3,15603.0,6242.0,586.0,636.0,92.1,342.0,395.0,86.6,71.0,110.0,64.5,5.0,64.0,5.0,3.0,74.0,1031.0,159.0,22.0,0.0,7.0,9.0,0.0,0.0,0.0,0.0,137.0,2.0,9.0,24.0,1.18,18.0,3.0,1.0,0.0,2.0,0.1,1.0,0.0,1.0,0.0,0.0,24.0,18.0,11.0,9.0,4.0,12.0,3.0,9.0,23.0,44.0,0.0,1329.0,58.0,519.0,653.0,166.0,11.0,1329.0,691.0,31.0,23.0,3.0,866.0,11.0,8.0,0.0,15.0,10.0,0.0,0.0,0.0,0.0,113.0,23.0,16.0,59.0
+Adam Masina,ma MAR,DF,Udinese,29-039,1994,4.0,4.0,304.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.3,0.3,0.3,0.0,0.0,0.01,0.01,3.4,1.0,0.0,100.0,0.3,1.0,1.0,0.03,1.0,1.0,112.0,148.0,75.7,2453.0,1159.0,35.0,42.0,83.3,54.0,68.0,79.4,21.0,33.0,63.6,1.0,8.0,2.0,2.0,8.0,128.0,18.0,5.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,13.0,2.0,0.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,2.0,2.0,0.0,7.0,12.0,1.0,175.0,18.0,89.0,73.0,16.0,3.0,175.0,108.0,2.0,1.0,1.0,101.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,12.0,13.0,5.0,72.2
+Nemanja Matić,rs SRB,MF,Roma,34-193,1988,21.0,10.0,1141.0,1.0,1.0,0.0,0.0,2.0,0.0,0.08,0.08,0.16,0.08,0.16,0.7,0.7,0.06,0.06,12.7,3.0,0.0,37.5,0.24,0.13,0.33,0.09,0.3,0.3,676.0,796.0,84.9,11796.0,3343.0,307.0,327.0,93.9,269.0,314.0,85.7,73.0,111.0,65.8,12.0,82.0,8.0,1.0,73.0,753.0,39.0,36.0,1.0,9.0,4.0,1.0,0.0,0.0,0.0,2.0,4.0,10.0,27.0,2.13,25.0,0.0,1.0,0.0,4.0,0.32,2.0,0.0,1.0,0.0,0.0,34.0,17.0,18.0,12.0,4.0,15.0,3.0,12.0,16.0,16.0,0.0,917.0,34.0,221.0,575.0,137.0,15.0,917.0,546.0,27.0,25.0,3.0,619.0,16.0,10.0,0.0,14.0,7.0,1.0,0.0,0.0,0.0,115.0,10.0,10.0,50.0
+Luís Maximiano,pt POR,GK,Lazio,24-036,1999,1.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,75.0,98.0,90.0,1.0,1.0,100.0,0.0,0.0,0.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,4.0,0.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Pasquale Mazzocchi,it ITA,DF,Salernitana,27-198,1995,15.0,15.0,1199.0,2.0,2.0,0.0,0.0,2.0,0.0,0.15,0.15,0.3,0.15,0.3,0.9,0.9,0.07,0.07,13.3,3.0,0.0,27.3,0.23,0.18,0.67,0.08,1.1,1.1,435.0,583.0,74.6,7209.0,2374.0,220.0,244.0,90.2,163.0,214.0,76.2,39.0,79.0,49.4,26.0,27.0,16.0,9.0,38.0,452.0,129.0,8.0,1.0,3.0,59.0,15.0,0.0,14.0,0.0,106.0,2.0,20.0,49.0,3.67,36.0,8.0,0.0,1.0,7.0,0.52,5.0,0.0,0.0,0.0,0.0,20.0,9.0,14.0,3.0,3.0,5.0,2.0,3.0,6.0,21.0,1.0,721.0,34.0,210.0,269.0,252.0,24.0,721.0,384.0,44.0,34.0,8.0,406.0,30.0,19.0,0.0,15.0,8.0,5.0,0.0,0.0,0.0,82.0,7.0,5.0,58.3
+"Weston McKennie,us USA,""MF,DF"",Juventus,24-166,1998,15.0,13.0,1052.0,1.0,1.0,0.0,0.0,0.0,0.0,0.09,0.09,0.17,0.09,0.17,0.9,0.9,0.08,0.08,11.7,4.0,0.0,50.0,0.34,0.13,0.25,0.11,0.1,0.1,336.0,418.0,80.4,5385.0,1516.0,175.0,207.0,84.5,125.0,147.0,85.0,28.0,38.0,73.7,8.0,23.0,6.0,4.0,39.0,389.0,27.0,3.0,1.0,2.0,15.0,0.0,0.0,0.0,0.0,24.0,2.0,7.0,17.0,1.45,15.0,0.0,2.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,14.0,5.0,3.0,9.0,2.0,15.0,4.0,11.0,11.0,15.0,1.0,527.0,25.0,115.0,250.0,164.0,22.0,527.0,231.0,19.0,11.0,2.0,349.0,20.0,12.0,0.0,13.0,7.0,3.0,0.0,0.0,0.0,43.0,12.0,16.0,42.9"
+"Gary Medel,cl CHI,""MF,DF"",Bologna,35-191,1987,17.0,16.0,1267.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.07,0.07,0.0,0.07,0.1,0.1,0.0,0.0,14.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,800.0,903.0,88.6,14755.0,5092.0,313.0,338.0,92.6,374.0,397.0,94.2,91.0,135.0,67.4,4.0,54.0,4.0,0.0,46.0,858.0,45.0,42.0,1.0,7.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,19.0,1.35,16.0,0.0,0.0,1.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,21.0,14.0,12.0,7.0,2.0,12.0,8.0,4.0,23.0,32.0,0.0,1007.0,112.0,435.0,525.0,53.0,0.0,1007.0,524.0,1.0,3.0,0.0,641.0,6.0,4.0,0.0,15.0,16.0,0.0,0.0,0.0,0.0,121.0,13.0,13.0,50.0"
+Soualiho Meïté,fr FRA,MF,Cremonese,28-330,1994,15.0,14.0,1139.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,0.3,0.3,0.02,0.02,12.7,1.0,0.0,10.0,0.08,0.0,0.0,0.03,-0.3,-0.3,389.0,478.0,81.4,6439.0,1777.0,200.0,226.0,88.5,148.0,168.0,88.1,32.0,56.0,57.1,7.0,38.0,14.0,3.0,48.0,462.0,12.0,9.0,1.0,5.0,8.0,0.0,0.0,0.0,0.0,2.0,4.0,8.0,23.0,1.82,21.0,1.0,0.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,25.0,16.0,15.0,7.0,3.0,11.0,2.0,9.0,11.0,15.0,0.0,605.0,24.0,166.0,343.0,104.0,8.0,605.0,341.0,12.0,8.0,3.0,376.0,17.0,16.0,0.0,15.0,20.0,0.0,0.0,0.0,0.0,86.0,15.0,9.0,62.5
+Alex Meret,it ITA,GK,Napoli,25-325,1997,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,516.0,596.0,86.6,11970.0,7265.0,121.0,121.0,100.0,265.0,268.0,98.9,127.0,204.0,62.3,0.0,1.0,0.0,0.0,0.0,438.0,158.0,30.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,627.0,545.0,626.0,1.0,0.0,0.0,627.0,341.0,0.0,0.0,0.0,305.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,2.0,0.0,100.0
+Yıldırım Mert Çetin,tr TUR,DF,Lecce,26-040,1997,1.0,1.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,38.0,8.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,8.0,2.0,5.0,3.0,0.0,0.0,8.0,3.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+"Junior Messias,br BRA,""FW,DF"",Milan,31-273,1991,15.0,11.0,879.0,2.0,2.0,0.0,0.0,1.0,0.0,0.2,0.2,0.41,0.2,0.41,1.1,1.1,0.11,0.11,9.8,7.0,0.0,41.2,0.72,0.12,0.29,0.07,0.9,0.9,224.0,308.0,72.7,3545.0,751.0,121.0,148.0,81.8,84.0,107.0,78.5,15.0,32.0,46.9,8.0,19.0,3.0,1.0,31.0,299.0,8.0,3.0,2.0,1.0,14.0,0.0,0.0,0.0,0.0,5.0,1.0,7.0,32.0,3.27,20.0,0.0,4.0,4.0,5.0,0.51,4.0,0.0,0.0,0.0,0.0,12.0,9.0,3.0,5.0,4.0,12.0,3.0,9.0,4.0,12.0,0.0,416.0,16.0,56.0,175.0,191.0,31.0,416.0,251.0,24.0,21.0,8.0,290.0,17.0,9.0,0.0,15.0,16.0,1.0,0.0,0.0,0.0,35.0,19.0,25.0,43.2"
+Tommaso Milanese,it ITA,MF,Cremonese,20-194,2002,2.0,0.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,14.0,71.4,182.0,41.0,4.0,5.0,80.0,3.0,5.0,60.0,2.0,3.0,66.7,3.0,3.0,0.0,0.0,2.0,11.0,3.0,1.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,6.43,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,19.0,0.0,1.0,7.0,12.0,2.0,19.0,13.0,2.0,1.0,0.0,14.0,3.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Nikola Milenković,rs SRB,DF,Fiorentina,25-121,1997,16.0,14.0,1288.0,2.0,1.0,0.0,0.0,2.0,0.0,0.14,0.07,0.21,0.14,0.21,1.6,1.6,0.11,0.11,14.3,3.0,0.0,25.0,0.21,0.17,0.67,0.13,0.4,0.4,710.0,827.0,85.9,13882.0,4094.0,242.0,268.0,90.3,377.0,420.0,89.8,85.0,121.0,70.2,6.0,42.0,1.0,0.0,46.0,798.0,26.0,22.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,4.0,19.0,1.33,16.0,0.0,3.0,0.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,21.0,14.0,10.0,8.0,3.0,16.0,6.0,10.0,17.0,38.0,0.0,966.0,90.0,436.0,482.0,53.0,26.0,966.0,548.0,3.0,7.0,0.0,587.0,5.0,0.0,0.0,24.0,13.0,0.0,0.0,0.0,1.0,75.0,39.0,14.0,73.6
+Arkadiusz Milik,pl POL,FW,Juventus,28-347,1994,17.0,10.0,986.0,6.0,1.0,0.0,0.0,3.0,1.0,0.55,0.09,0.64,0.55,0.64,4.2,4.2,0.39,0.39,11.0,16.0,1.0,55.2,1.46,0.21,0.38,0.15,1.8,1.8,218.0,279.0,78.1,3030.0,498.0,130.0,154.0,84.4,68.0,82.0,82.9,7.0,13.0,53.8,8.0,10.0,6.0,0.0,20.0,260.0,15.0,2.0,2.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,20.0,1.84,13.0,0.0,4.0,1.0,3.0,0.28,2.0,0.0,0.0,0.0,1.0,7.0,5.0,1.0,4.0,2.0,7.0,0.0,7.0,0.0,9.0,0.0,381.0,10.0,29.0,186.0,171.0,46.0,381.0,210.0,8.0,11.0,1.0,299.0,31.0,9.0,1.0,12.0,17.0,3.0,0.0,0.0,0.0,26.0,22.0,39.0,36.1
+Sergej Milinković-Savić,rs SRB,MF,Lazio,27-348,1995,20.0,19.0,1656.0,4.0,8.0,0.0,0.0,7.0,0.0,0.22,0.43,0.65,0.22,0.65,2.6,2.6,0.14,0.14,18.4,8.0,2.0,25.8,0.43,0.13,0.5,0.08,1.4,1.4,827.0,1095.0,75.5,13106.0,3786.0,463.0,556.0,83.3,261.0,328.0,79.6,76.0,134.0,56.7,27.0,89.0,31.0,3.0,104.0,1070.0,21.0,14.0,11.0,13.0,18.0,0.0,0.0,0.0,0.0,7.0,4.0,26.0,48.0,2.61,42.0,1.0,3.0,1.0,11.0,0.6,10.0,0.0,1.0,0.0,0.0,38.0,21.0,17.0,15.0,6.0,25.0,7.0,18.0,20.0,29.0,0.0,1380.0,47.0,258.0,789.0,346.0,38.0,1380.0,826.0,29.0,20.0,7.0,1099.0,65.0,38.0,0.0,22.0,45.0,1.0,0.0,0.0,0.0,106.0,51.0,30.0,63.0
+Vanja Milinković-Savić,rs SRB,GK,Torino,25-355,1997,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,551.0,952.0,57.9,18065.0,13131.0,63.0,64.0,98.4,274.0,279.0,98.2,213.0,599.0,35.6,0.0,52.0,2.0,0.0,0.0,730.0,213.0,57.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,0.0,3.0,0.14,3.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,1.0,1001.0,706.0,988.0,14.0,1.0,1.0,1001.0,639.0,0.0,0.0,0.0,510.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,27.0,5.0,0.0,100.0
+Kim Min-jae,kr KOR,DF,Napoli,26-087,1996,20.0,20.0,1755.0,2.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,0.5,0.5,0.03,0.03,19.5,2.0,0.0,40.0,0.1,0.4,1.0,0.1,1.5,1.5,1383.0,1534.0,90.2,25387.0,9543.0,549.0,589.0,93.2,683.0,723.0,94.5,127.0,175.0,72.6,8.0,109.0,5.0,1.0,89.0,1500.0,31.0,29.0,1.0,23.0,3.0,0.0,0.0,0.0,0.0,1.0,3.0,10.0,25.0,1.28,23.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,35.0,22.0,25.0,10.0,0.0,26.0,21.0,5.0,20.0,80.0,1.0,1735.0,197.0,754.0,948.0,42.0,12.0,1735.0,1059.0,21.0,8.0,1.0,1252.0,10.0,7.0,0.0,17.0,3.0,0.0,0.0,0.0,0.0,131.0,50.0,28.0,64.1
+Aleksei Miranchuk,ru RUS,MF,Torino,27-116,1995,15.0,13.0,1072.0,4.0,2.0,0.0,0.0,0.0,0.0,0.34,0.17,0.5,0.34,0.5,1.8,1.8,0.15,0.15,11.9,10.0,1.0,45.5,0.84,0.18,0.4,0.08,2.2,2.2,337.0,414.0,81.4,5183.0,1234.0,177.0,200.0,88.5,112.0,130.0,86.2,26.0,49.0,53.1,23.0,29.0,15.0,3.0,48.0,395.0,17.0,3.0,3.0,1.0,11.0,10.0,5.0,0.0,0.0,4.0,2.0,8.0,42.0,3.52,34.0,2.0,2.0,3.0,5.0,0.42,4.0,0.0,0.0,1.0,0.0,5.0,2.0,1.0,3.0,1.0,5.0,0.0,5.0,1.0,3.0,0.0,518.0,4.0,32.0,255.0,235.0,29.0,518.0,333.0,25.0,26.0,5.0,411.0,24.0,13.0,0.0,4.0,17.0,0.0,1.0,0.0,0.0,44.0,4.0,13.0,23.5
+"Fabio Miretti,it ITA,""MF,FW"",Juventus,19-191,2003,18.0,9.0,829.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.11,0.11,0.0,0.11,1.4,1.4,0.15,0.15,9.2,5.0,0.0,29.4,0.54,0.0,0.0,0.08,-1.4,-1.4,261.0,369.0,70.7,4095.0,1074.0,141.0,173.0,81.5,93.0,122.0,76.2,18.0,45.0,40.0,12.0,25.0,8.0,1.0,35.0,348.0,19.0,4.0,1.0,3.0,17.0,8.0,3.0,4.0,0.0,5.0,2.0,12.0,34.0,3.7,21.0,4.0,5.0,1.0,5.0,0.54,4.0,0.0,0.0,1.0,0.0,17.0,7.0,10.0,5.0,2.0,14.0,1.0,13.0,2.0,8.0,0.0,501.0,11.0,76.0,252.0,180.0,36.0,501.0,285.0,21.0,13.0,4.0,343.0,29.0,19.0,0.0,16.0,15.0,1.0,1.0,0.0,0.0,59.0,4.0,12.0,25.0"
+Henrikh Mkhitaryan,am ARM,MF,Inter,34-020,1989,18.0,13.0,1149.0,1.0,1.0,0.0,0.0,3.0,0.0,0.08,0.08,0.16,0.08,0.16,1.1,1.1,0.09,0.09,12.8,1.0,0.0,7.7,0.08,0.08,1.0,0.09,-0.1,-0.1,499.0,576.0,86.6,8073.0,1977.0,259.0,278.0,93.2,182.0,212.0,85.8,39.0,52.0,75.0,11.0,50.0,15.0,6.0,67.0,563.0,11.0,4.0,2.0,2.0,13.0,2.0,1.0,1.0,0.0,5.0,2.0,6.0,41.0,3.22,33.0,0.0,3.0,4.0,6.0,0.47,5.0,0.0,0.0,0.0,1.0,25.0,16.0,7.0,16.0,2.0,17.0,2.0,15.0,10.0,10.0,0.0,694.0,15.0,106.0,400.0,200.0,22.0,694.0,391.0,28.0,25.0,7.0,480.0,25.0,11.0,0.0,16.0,15.0,0.0,0.0,0.0,0.0,93.0,3.0,8.0,27.3
+Salvatore Molina,it ITA,DF,Monza,31-040,1992,5.0,1.0,229.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,86.0,114.0,75.4,1260.0,424.0,49.0,55.0,89.1,36.0,45.0,80.0,1.0,8.0,12.5,2.0,4.0,5.0,4.0,7.0,96.0,17.0,2.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,15.0,1.0,3.0,5.0,1.97,5.0,0.0,0.0,0.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,6.0,5.0,2.0,4.0,0.0,4.0,2.0,2.0,1.0,2.0,0.0,139.0,6.0,29.0,47.0,65.0,1.0,139.0,79.0,9.0,5.0,0.0,85.0,4.0,2.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,10.0,0.0,1.0,0.0
+Daniele Montevago,it ITA,FW,Sampdoria,19-329,2003,6.0,3.0,231.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.19,0.19,2.6,1.0,0.0,14.3,0.39,0.0,0.0,0.07,-0.5,-0.5,23.0,40.0,57.5,228.0,22.0,14.0,20.0,70.0,4.0,8.0,50.0,0.0,3.0,0.0,4.0,1.0,0.0,0.0,0.0,37.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,2.75,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,79.0,2.0,4.0,31.0,44.0,18.0,79.0,42.0,1.0,1.0,1.0,61.0,9.0,4.0,0.0,8.0,4.0,4.0,0.0,0.0,0.0,5.0,14.0,23.0,37.8
+Lorenzo Montipò,it ITA,GK,Hellas Verona,26-355,1996,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,435.0,667.0,65.2,16626.0,13914.0,49.0,50.0,98.0,145.0,149.0,97.3,238.0,463.0,51.4,0.0,36.0,1.0,0.0,0.0,436.0,229.0,61.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,0.33,2.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,23.0,2.0,744.0,595.0,737.0,9.0,0.0,0.0,744.0,324.0,0.0,1.0,0.0,258.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,39.0,2.0,2.0,50.0
+Nikola Moro,hr CRO,MF,Bologna,24-335,1998,9.0,4.0,418.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.22,0.22,0.0,0.22,0.1,0.1,0.03,0.03,4.6,1.0,0.0,20.0,0.22,0.0,0.0,0.02,-0.1,-0.1,183.0,242.0,75.6,3553.0,1191.0,67.0,88.0,76.1,82.0,97.0,84.5,30.0,44.0,68.2,5.0,27.0,3.0,0.0,31.0,233.0,7.0,5.0,1.0,5.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,12.0,2.58,12.0,0.0,0.0,0.0,2.0,0.43,2.0,0.0,0.0,0.0,0.0,8.0,4.0,3.0,5.0,0.0,6.0,0.0,6.0,3.0,6.0,0.0,280.0,11.0,68.0,175.0,41.0,2.0,280.0,150.0,1.0,3.0,0.0,178.0,2.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,36.0,6.0,5.0,54.5
+"Dany Mota,pt POR,""FW,MF"",Monza,24-284,1998,15.0,11.0,996.0,3.0,0.0,0.0,0.0,1.0,0.0,0.27,0.0,0.27,0.27,0.27,3.6,3.6,0.32,0.32,11.1,4.0,0.0,26.7,0.36,0.2,0.75,0.24,-0.6,-0.6,211.0,312.0,67.6,2995.0,379.0,128.0,165.0,77.6,64.0,94.0,68.1,10.0,17.0,58.8,11.0,8.0,7.0,4.0,14.0,296.0,16.0,1.0,1.0,2.0,28.0,0.0,0.0,0.0,0.0,3.0,0.0,19.0,30.0,2.71,22.0,0.0,3.0,3.0,2.0,0.18,0.0,0.0,0.0,1.0,0.0,5.0,4.0,0.0,2.0,3.0,5.0,1.0,4.0,2.0,14.0,0.0,443.0,15.0,33.0,200.0,212.0,49.0,443.0,275.0,37.0,20.0,15.0,337.0,47.0,23.0,0.0,14.0,19.0,10.0,1.0,0.0,0.0,31.0,20.0,29.0,40.8"
+"João Moutinho,pt POR,""DF,FW"",Spezia,25-029,1998,4.0,0.0,58.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,42.0,71.4,405.0,162.0,18.0,20.0,90.0,9.0,12.0,75.0,1.0,6.0,16.7,1.0,4.0,0.0,0.0,1.0,34.0,8.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,8.0,0.0,2.0,1.0,1.55,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,5.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,51.0,3.0,11.0,20.0,20.0,0.0,51.0,18.0,0.0,1.0,0.0,24.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0"
+Mert Müldür,tr TUR,DF,Sassuolo,23-313,1999,1.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,11.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Luis Muriel,co COL,FW,Atalanta,31-300,1991,13.0,6.0,579.0,1.0,2.0,1.0,1.0,2.0,2.0,0.16,0.31,0.47,0.0,0.31,1.3,0.6,0.21,0.09,6.4,3.0,2.0,27.3,0.47,0.0,0.0,0.05,-0.3,-0.6,153.0,240.0,63.8,2567.0,758.0,79.0,106.0,74.5,49.0,70.0,70.0,17.0,42.0,40.5,15.0,12.0,18.0,2.0,37.0,212.0,27.0,4.0,3.0,8.0,28.0,10.0,6.0,2.0,0.0,5.0,1.0,5.0,29.0,4.5,24.0,2.0,0.0,1.0,4.0,0.62,3.0,0.0,0.0,1.0,0.0,5.0,3.0,1.0,2.0,2.0,5.0,0.0,5.0,0.0,2.0,0.0,328.0,3.0,16.0,129.0,185.0,39.0,327.0,192.0,31.0,19.0,18.0,258.0,26.0,15.0,1.0,9.0,7.0,2.0,1.0,0.0,0.0,21.0,6.0,14.0,30.0
+Jeison Murillo,co COL,DF,Sampdoria,30-259,1992,11.0,8.0,685.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.6,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,299.0,367.0,81.5,6228.0,2354.0,90.0,99.0,90.9,165.0,186.0,88.7,43.0,73.0,58.9,1.0,26.0,1.0,0.0,30.0,330.0,36.0,23.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,13.0,1.0,4.0,5.0,0.66,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,11.0,5.0,0.0,13.0,8.0,5.0,5.0,24.0,0.0,440.0,53.0,209.0,214.0,22.0,2.0,440.0,209.0,8.0,4.0,0.0,248.0,5.0,1.0,0.0,9.0,13.0,0.0,0.0,0.0,1.0,44.0,25.0,16.0,61.0
+Nicola Murru,it ITA,DF,Sampdoria,28-056,1994,9.0,3.0,381.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,111.0,151.0,73.5,2008.0,1012.0,45.0,50.0,90.0,50.0,64.0,78.1,12.0,28.0,42.9,2.0,12.0,3.0,2.0,15.0,133.0,17.0,1.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,16.0,1.0,1.0,3.0,0.71,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,10.0,10.0,6.0,1.0,10.0,3.0,7.0,2.0,13.0,0.0,199.0,20.0,86.0,84.0,30.0,1.0,199.0,87.0,2.0,1.0,0.0,103.0,4.0,1.0,0.0,5.0,2.0,1.0,0.0,2.0,0.0,16.0,5.0,4.0,55.6
+Juan Musso,ar ARG,GK,Atalanta,28-280,1994,15.0,15.0,1267.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,352.0,471.0,74.7,10121.0,7082.0,61.0,61.0,100.0,160.0,162.0,98.8,129.0,244.0,52.9,1.0,0.0,0.0,0.0,0.0,340.0,130.0,32.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,491.0,434.0,488.0,3.0,0.0,0.0,491.0,305.0,0.0,1.0,1.0,214.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0
+"Joakim Mæhle,dk DEN,""DF,MF"",Atalanta,25-266,1997,19.0,12.0,1050.0,2.0,1.0,0.0,0.0,2.0,1.0,0.17,0.09,0.26,0.17,0.26,2.3,2.3,0.2,0.2,11.7,4.0,0.0,30.8,0.34,0.15,0.5,0.18,-0.3,-0.3,578.0,716.0,80.7,8099.0,2920.0,367.0,409.0,89.7,170.0,209.0,81.3,23.0,44.0,52.3,20.0,38.0,24.0,5.0,72.0,589.0,125.0,3.0,1.0,2.0,20.0,0.0,0.0,0.0,0.0,122.0,2.0,22.0,45.0,3.86,38.0,3.0,1.0,1.0,3.0,0.26,2.0,1.0,0.0,0.0,0.0,19.0,11.0,6.0,4.0,9.0,12.0,2.0,10.0,10.0,9.0,0.0,848.0,17.0,175.0,330.0,354.0,34.0,848.0,482.0,42.0,31.0,6.0,553.0,25.0,11.0,0.0,12.0,8.0,2.0,0.0,0.0,0.0,71.0,3.0,6.0,33.3"
+"Michel Ndary Adopo,fr FRA,""MF,DF"",Torino,22-206,2000,6.0,2.0,177.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,66.0,81.0,81.5,1040.0,264.0,30.0,36.0,83.3,31.0,36.0,86.1,4.0,5.0,80.0,0.0,4.0,0.0,0.0,6.0,79.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,1.0,1.0,2.0,2.0,0.0,0.0,3.0,0.0,100.0,6.0,22.0,63.0,15.0,1.0,100.0,51.0,1.0,0.0,0.0,61.0,2.0,3.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,5.0,54.5"
+Tanguy Ndombele,fr FRA,MF,Napoli,26-044,1996,19.0,6.0,545.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.09,0.09,6.1,1.0,0.0,7.7,0.17,0.0,0.0,0.04,-0.5,-0.5,362.0,404.0,89.6,4946.0,1252.0,232.0,251.0,92.4,103.0,106.0,97.2,12.0,20.0,60.0,8.0,29.0,8.0,0.0,42.0,395.0,9.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,8.0,16.0,2.66,14.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,2.0,5.0,1.0,3.0,0.0,3.0,5.0,5.0,1.0,471.0,8.0,56.0,291.0,127.0,21.0,471.0,323.0,14.0,14.0,3.0,402.0,18.0,13.0,0.0,9.0,16.0,0.0,0.0,1.0,0.0,31.0,4.0,2.0,66.7
+"Ilija Nestorovski,mk MKD,""FW,MF"",Udinese,32-335,1990,10.0,0.0,115.0,1.0,1.0,0.0,0.0,2.0,0.0,0.78,0.78,1.57,0.78,1.57,0.3,0.3,0.21,0.21,1.3,1.0,0.0,33.3,0.78,0.33,1.0,0.09,0.7,0.7,24.0,33.0,72.7,291.0,73.0,19.0,22.0,86.4,5.0,8.0,62.5,0.0,1.0,0.0,1.0,2.0,0.0,0.0,5.0,33.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.79,1.0,0.0,0.0,0.0,1.0,0.79,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,45.0,2.0,3.0,22.0,21.0,7.0,45.0,17.0,0.0,1.0,0.0,28.0,3.0,0.0,0.0,4.0,1.0,2.0,0.0,0.0,0.0,4.0,1.0,6.0,14.3"
+"Cyril Ngonge,be BEL,""FW,MF"",Hellas Verona,22-260,2000,2.0,1.0,85.0,1.0,0.0,0.0,0.0,0.0,0.0,1.06,0.0,1.06,1.06,1.06,0.5,0.5,0.58,0.58,0.9,3.0,0.0,50.0,3.18,0.17,0.33,0.09,0.5,0.5,13.0,21.0,61.9,288.0,115.0,2.0,4.0,50.0,9.0,10.0,90.0,2.0,4.0,50.0,2.0,2.0,3.0,2.0,3.0,19.0,2.0,0.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,8.0,8.47,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,39.0,0.0,6.0,14.0,20.0,4.0,39.0,21.0,3.0,1.0,2.0,22.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,5.0,5.0,50.0"
+Hans Nicolussi Caviglia,it ITA,MF,Salernitana,22-237,2000,5.0,4.0,385.0,1.0,0.0,0.0,0.0,1.0,0.0,0.23,0.0,0.23,0.23,0.23,0.1,0.1,0.02,0.02,4.3,1.0,0.0,50.0,0.23,0.5,1.0,0.05,0.9,0.9,123.0,157.0,78.3,2193.0,668.0,47.0,54.0,87.0,59.0,71.0,83.1,10.0,18.0,55.6,2.0,12.0,0.0,0.0,15.0,148.0,8.0,6.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,2.0,6.0,1.4,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,5.0,4.0,1.0,5.0,0.0,5.0,4.0,7.0,1.0,200.0,11.0,57.0,114.0,30.0,3.0,200.0,89.0,1.0,2.0,0.0,109.0,6.0,3.0,0.0,9.0,5.0,0.0,0.0,1.0,0.0,28.0,1.0,3.0,25.0
+Dimitris Nikolaou,gr GRE,DF,Spezia,24-181,1998,19.0,18.0,1599.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,17.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,718.0,903.0,79.5,13016.0,5557.0,312.0,340.0,91.8,313.0,359.0,87.2,77.0,171.0,45.0,5.0,62.0,2.0,1.0,58.0,843.0,55.0,25.0,0.0,15.0,4.0,0.0,0.0,0.0,0.0,20.0,5.0,6.0,14.0,0.79,13.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,18.0,18.0,6.0,0.0,25.0,18.0,7.0,16.0,37.0,0.0,1041.0,123.0,541.0,458.0,52.0,9.0,1041.0,645.0,13.0,12.0,0.0,693.0,10.0,7.0,0.0,11.0,11.0,0.0,0.0,0.0,0.0,123.0,10.0,14.0,41.7
+Bram Nuytinck,nl NED,DF,Udinese,32-282,1990,6.0,3.0,385.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,113.0,139.0,81.3,2516.0,1038.0,24.0,27.0,88.9,67.0,75.0,89.3,20.0,32.0,62.5,0.0,4.0,1.0,0.0,4.0,124.0,14.0,4.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,2.0,2.0,0.47,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,3.0,4.0,0.0,6.0,6.0,0.0,5.0,22.0,0.0,185.0,37.0,117.0,65.0,4.0,2.0,185.0,90.0,1.0,0.0,0.0,88.0,1.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,19.0,7.0,5.0,58.3
+Bram Nuytinck,nl NED,DF,Sampdoria,32-282,1990,6.0,6.0,485.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,5.4,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,172.0,204.0,84.3,3353.0,1169.0,47.0,55.0,85.5,107.0,115.0,93.0,16.0,28.0,57.1,1.0,6.0,0.0,0.0,9.0,186.0,16.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,15.0,17.0,5.0,0.0,13.0,7.0,6.0,6.0,23.0,0.0,271.0,49.0,168.0,99.0,5.0,5.0,271.0,131.0,1.0,0.0,0.0,141.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,1.0,0.0,27.0,6.0,6.0,50.0
+M'Bala Nzola,ao ANG,FW,Spezia,26-176,1996,18.0,18.0,1596.0,9.0,1.0,2.0,2.0,4.0,0.0,0.51,0.06,0.56,0.39,0.45,6.8,5.2,0.38,0.3,17.7,15.0,0.0,37.5,0.85,0.18,0.47,0.13,2.2,1.8,270.0,342.0,78.9,3354.0,543.0,186.0,219.0,84.9,62.0,79.0,78.5,5.0,6.0,83.3,16.0,19.0,11.0,2.0,34.0,327.0,13.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,2.0,2.0,8.0,31.0,1.75,26.0,0.0,3.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,6.0,3.0,0.0,3.0,3.0,13.0,4.0,9.0,5.0,17.0,0.0,580.0,25.0,46.0,217.0,323.0,84.0,578.0,364.0,27.0,13.0,13.0,465.0,73.0,53.0,0.0,38.0,21.0,7.0,0.0,0.0,0.0,42.0,27.0,57.0,32.1
+Pedro Obiang,gq EQG,MF,Sassuolo,30-320,1992,10.0,7.0,560.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.16,0.16,0.0,0.16,0.3,0.3,0.05,0.05,6.2,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.3,-0.3,202.0,238.0,84.9,3686.0,1264.0,101.0,116.0,87.1,72.0,79.0,91.1,26.0,34.0,76.5,2.0,13.0,0.0,0.0,20.0,217.0,20.0,20.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,8.0,1.28,6.0,0.0,1.0,0.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,21.0,13.0,10.0,10.0,1.0,8.0,1.0,7.0,7.0,12.0,0.0,298.0,20.0,81.0,188.0,30.0,2.0,298.0,134.0,0.0,3.0,0.0,169.0,3.0,1.0,0.0,10.0,5.0,0.0,0.0,0.0,0.0,29.0,8.0,14.0,36.4
+Guillermo Ochoa,mx MEX,GK,Salernitana,37-212,1985,6.0,6.0,540.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,117.0,217.0,53.9,4279.0,3439.0,12.0,12.0,100.0,41.0,43.0,95.3,64.0,160.0,40.0,0.0,4.0,0.0,0.0,0.0,135.0,80.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.33,2.0,0.0,0.0,0.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,243.0,206.0,242.0,1.0,0.0,0.0,243.0,97.0,0.0,0.0,0.0,87.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
+"David Okereke,ng NGA,""FW,MF"",Cremonese,25-165,1997,20.0,17.0,1444.0,5.0,0.0,1.0,1.0,4.0,0.0,0.31,0.0,0.31,0.25,0.25,3.2,2.4,0.2,0.15,16.0,11.0,0.0,30.6,0.69,0.11,0.36,0.07,1.8,1.6,220.0,327.0,67.3,3814.0,946.0,104.0,145.0,71.7,83.0,104.0,79.8,27.0,37.0,73.0,15.0,20.0,19.0,5.0,53.0,313.0,10.0,1.0,2.0,1.0,19.0,0.0,0.0,0.0,0.0,6.0,4.0,19.0,52.0,3.24,31.0,1.0,6.0,7.0,1.0,0.06,0.0,0.0,0.0,1.0,0.0,7.0,5.0,3.0,2.0,2.0,19.0,3.0,16.0,4.0,9.0,0.0,506.0,15.0,38.0,197.0,276.0,57.0,505.0,280.0,35.0,30.0,8.0,375.0,40.0,27.0,0.0,13.0,24.0,7.0,2.0,1.0,0.0,31.0,30.0,55.0,35.3"
+Caleb Okoli,it ITA,DF,Atalanta,21-212,2001,13.0,9.0,845.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,9.4,2.0,0.0,40.0,0.21,0.0,0.0,0.07,-0.3,-0.3,297.0,387.0,76.7,5230.0,2068.0,127.0,155.0,81.9,134.0,164.0,81.7,27.0,43.0,62.8,0.0,9.0,1.0,0.0,13.0,363.0,24.0,17.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,6.0,1.0,0.11,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,17.0,14.0,6.0,1.0,9.0,5.0,4.0,26.0,41.0,3.0,514.0,56.0,302.0,188.0,30.0,8.0,514.0,228.0,2.0,4.0,0.0,239.0,11.0,3.0,0.0,13.0,7.0,0.0,0.0,0.0,0.0,59.0,40.0,23.0,63.5
+Mathías Olivera,uy URU,DF,Napoli,25-102,1997,15.0,5.0,531.0,1.0,0.0,0.0,0.0,1.0,0.0,0.17,0.0,0.17,0.17,0.17,0.4,0.4,0.07,0.07,5.9,1.0,0.0,50.0,0.17,0.5,1.0,0.2,0.6,0.6,405.0,469.0,86.4,5436.0,1824.0,273.0,297.0,91.9,96.0,109.0,88.1,20.0,31.0,64.5,10.0,34.0,7.0,2.0,31.0,387.0,81.0,10.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,71.0,1.0,10.0,16.0,2.71,14.0,1.0,0.0,0.0,2.0,0.34,2.0,0.0,0.0,0.0,0.0,16.0,9.0,5.0,7.0,4.0,6.0,2.0,4.0,6.0,14.0,0.0,544.0,18.0,131.0,269.0,149.0,10.0,544.0,334.0,28.0,21.0,1.0,345.0,9.0,14.0,0.0,6.0,10.0,0.0,0.0,0.0,0.0,38.0,4.0,5.0,44.4
+André Onana,cm CMR,GK,Inter,26-314,1996,13.0,13.0,1170.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,414.0,525.0,78.9,10395.0,7082.0,108.0,108.0,100.0,186.0,192.0,96.9,117.0,221.0,52.9,1.0,6.0,0.0,0.0,2.0,420.0,104.0,12.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,0.23,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,546.0,469.0,536.0,10.0,0.0,0.0,546.0,359.0,0.0,0.0,0.0,317.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0
+Divock Origi,be BEL,FW,Milan,27-298,1995,14.0,5.0,564.0,2.0,1.0,0.0,0.0,1.0,0.0,0.32,0.16,0.48,0.32,0.48,1.2,1.2,0.2,0.2,6.3,8.0,0.0,47.1,1.28,0.12,0.25,0.07,0.8,0.8,72.0,108.0,66.7,937.0,222.0,42.0,54.0,77.8,19.0,32.0,59.4,3.0,7.0,42.9,7.0,4.0,3.0,0.0,9.0,102.0,6.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,17.0,2.72,10.0,0.0,1.0,3.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,2.0,1.0,1.0,0.0,11.0,0.0,195.0,11.0,21.0,79.0,99.0,24.0,195.0,106.0,11.0,5.0,9.0,142.0,26.0,13.0,0.0,7.0,12.0,4.0,0.0,0.0,0.0,13.0,9.0,17.0,34.6
+Riccardo Orsolini,it ITA,FW,Bologna,26-017,1997,18.0,12.0,1151.0,5.0,3.0,1.0,1.0,3.0,1.0,0.39,0.23,0.63,0.31,0.55,5.4,4.6,0.42,0.36,12.8,14.0,2.0,30.4,1.09,0.09,0.29,0.1,-0.4,-0.6,287.0,465.0,61.7,5463.0,1524.0,138.0,190.0,72.6,80.0,130.0,61.5,51.0,93.0,54.8,20.0,29.0,5.0,3.0,38.0,407.0,57.0,16.0,0.0,22.0,57.0,36.0,19.0,11.0,0.0,3.0,1.0,26.0,48.0,3.77,25.0,14.0,6.0,2.0,3.0,0.24,0.0,2.0,1.0,0.0,0.0,17.0,11.0,9.0,6.0,2.0,19.0,2.0,17.0,6.0,12.0,0.0,655.0,16.0,109.0,255.0,295.0,55.0,654.0,378.0,26.0,22.0,17.0,465.0,34.0,23.0,0.0,21.0,27.0,8.0,0.0,0.0,0.0,64.0,7.0,16.0,30.4
+Victor Osimhen,ng NGA,FW,Napoli,24-043,1998,17.0,16.0,1401.0,16.0,3.0,0.0,0.0,2.0,0.0,1.03,0.19,1.22,1.03,1.22,10.2,10.2,0.66,0.65,15.6,28.0,0.0,40.6,1.8,0.23,0.57,0.15,5.8,5.8,143.0,201.0,71.1,1925.0,289.0,85.0,103.0,82.5,38.0,54.0,70.4,6.0,9.0,66.7,18.0,11.0,5.0,0.0,13.0,193.0,8.0,0.0,1.0,2.0,5.0,0.0,0.0,0.0,0.0,2.0,0.0,13.0,37.0,2.38,27.0,0.0,4.0,4.0,6.0,0.39,4.0,0.0,1.0,1.0,0.0,3.0,1.0,0.0,1.0,2.0,4.0,1.0,3.0,2.0,15.0,0.0,409.0,16.0,23.0,129.0,265.0,121.0,409.0,244.0,23.0,10.0,15.0,311.0,52.0,27.0,0.0,26.0,22.0,16.0,1.0,1.0,0.0,24.0,33.0,34.0,49.3
+"Remi Oudin,fr FRA,""FW,MF"",Lecce,26-084,1996,14.0,2.0,309.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.07,0.07,3.4,4.0,0.0,44.4,1.17,0.0,0.0,0.03,-0.3,-0.3,92.0,161.0,57.1,1773.0,591.0,39.0,54.0,72.2,27.0,48.0,56.3,19.0,40.0,47.5,5.0,14.0,0.0,0.0,16.0,147.0,13.0,3.0,0.0,2.0,20.0,8.0,4.0,2.0,0.0,2.0,1.0,7.0,13.0,3.79,8.0,2.0,3.0,0.0,2.0,0.58,2.0,0.0,0.0,0.0,0.0,10.0,4.0,3.0,5.0,2.0,6.0,0.0,6.0,9.0,7.0,0.0,217.0,8.0,43.0,102.0,77.0,11.0,217.0,124.0,7.0,5.0,1.0,138.0,5.0,2.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,27.0,4.0,6.0,40.0"
+Adam Ounas,dz ALG,FW,Napoli,26-091,1996,2.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.23,0.23,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,13.0,17.0,76.5,297.0,80.0,6.0,7.0,85.7,2.0,3.0,66.7,5.0,5.0,100.0,0.0,2.0,1.0,0.0,4.0,16.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,12.0,0.0,0.0,1.0,0.0,1.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,19.0,0.0,4.0,12.0,5.0,1.0,19.0,14.0,3.0,2.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+Simone Pafundi,it ITA,MF,Udinese,16-361,2006,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,80.0,44.0,4.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,6.0,0.0,0.0,6.0,5.0,0.0,0.0,0.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Flavio Paoletti,it ITA,MF,Sampdoria,20-025,2003,4.0,0.0,82.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,46.0,82.6,733.0,181.0,15.0,18.0,83.3,18.0,18.0,100.0,5.0,5.0,100.0,1.0,1.0,0.0,0.0,4.0,41.0,4.0,2.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,4.0,2.0,2.2,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,55.0,3.0,12.0,31.0,12.0,0.0,55.0,33.0,4.0,3.0,0.0,34.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
+Leandro Paredes,ar ARG,MF,Juventus,28-226,1994,13.0,4.0,523.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,5.8,1.0,2.0,11.1,0.17,0.0,0.0,0.04,-0.3,-0.3,343.0,378.0,90.7,6373.0,2434.0,146.0,152.0,96.1,144.0,153.0,94.1,48.0,64.0,75.0,7.0,34.0,7.0,2.0,37.0,332.0,45.0,31.0,1.0,1.0,17.0,11.0,6.0,5.0,0.0,3.0,1.0,2.0,17.0,2.93,11.0,4.0,1.0,0.0,2.0,0.34,2.0,0.0,0.0,0.0,0.0,14.0,9.0,4.0,9.0,1.0,4.0,0.0,4.0,9.0,10.0,0.0,427.0,16.0,111.0,240.0,77.0,4.0,427.0,211.0,6.0,3.0,2.0,295.0,3.0,2.0,0.0,10.0,6.0,0.0,0.0,1.0,0.0,33.0,1.0,1.0,50.0
+Fabiano Parisi,it ITA,DF,Empoli,22-093,2000,19.0,19.0,1670.0,2.0,0.0,0.0,0.0,5.0,0.0,0.11,0.0,0.11,0.11,0.11,1.5,1.5,0.08,0.08,18.6,2.0,0.0,14.3,0.11,0.14,1.0,0.11,0.5,0.5,700.0,925.0,75.7,11318.0,5480.0,370.0,412.0,89.8,262.0,349.0,75.1,53.0,107.0,49.5,15.0,53.0,26.0,9.0,81.0,729.0,191.0,23.0,1.0,4.0,33.0,1.0,1.0,0.0,0.0,167.0,5.0,25.0,37.0,1.99,27.0,2.0,2.0,4.0,4.0,0.22,4.0,0.0,0.0,0.0,0.0,38.0,21.0,23.0,11.0,4.0,27.0,11.0,16.0,22.0,55.0,0.0,1187.0,95.0,434.0,497.0,281.0,13.0,1187.0,612.0,54.0,40.0,5.0,619.0,33.0,23.0,0.0,17.0,43.0,0.0,0.0,0.0,0.0,134.0,12.0,7.0,63.2
+"Mario Pašalić,hr CRO,""MF,FW"",Atalanta,28-001,1995,19.0,12.0,1023.0,2.0,2.0,0.0,0.0,2.0,0.0,0.18,0.18,0.35,0.18,0.35,2.6,2.6,0.23,0.23,11.4,4.0,0.0,30.8,0.35,0.15,0.5,0.2,-0.6,-0.6,313.0,386.0,81.1,4898.0,1330.0,164.0,193.0,85.0,110.0,126.0,87.3,26.0,42.0,61.9,10.0,30.0,12.0,1.0,51.0,373.0,12.0,4.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,31.0,2.72,27.0,0.0,2.0,0.0,5.0,0.44,4.0,0.0,1.0,0.0,0.0,17.0,6.0,4.0,11.0,2.0,9.0,1.0,8.0,13.0,7.0,0.0,494.0,10.0,80.0,276.0,141.0,29.0,494.0,300.0,10.0,6.0,1.0,364.0,19.0,17.0,0.0,17.0,12.0,1.0,0.0,0.0,0.0,52.0,25.0,20.0,55.6"
+Patric,es ESP,DF,Lazio,29-299,1993,10.0,9.0,753.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,8.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,445.0,510.0,87.3,8841.0,2647.0,156.0,168.0,92.9,188.0,203.0,92.6,81.0,117.0,69.2,0.0,11.0,2.0,0.0,10.0,462.0,47.0,23.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,0.36,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,7.0,2.0,2.0,11.0,9.0,2.0,5.0,25.0,1.0,577.0,124.0,367.0,209.0,5.0,0.0,577.0,293.0,0.0,0.0,0.0,371.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,52.0,3.0,11.0,21.4
+Rui Patrício,pt POR,GK,Roma,34-360,1988,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,423.0,540.0,78.3,10952.0,7122.0,94.0,94.0,100.0,204.0,207.0,98.6,124.0,237.0,52.3,0.0,3.0,0.0,0.0,0.0,346.0,193.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.1,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,2.0,564.0,518.0,563.0,1.0,0.0,0.0,564.0,302.0,0.0,0.0,0.0,228.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,1.0,0.0,100.0
+Pedro,es ESP,FW,Lazio,35-197,1987,19.0,9.0,1086.0,3.0,2.0,0.0,0.0,1.0,0.0,0.25,0.17,0.41,0.25,0.41,1.9,1.9,0.16,0.16,12.1,7.0,0.0,33.3,0.58,0.14,0.43,0.09,1.1,1.1,433.0,543.0,79.7,5968.0,1271.0,277.0,304.0,91.1,105.0,147.0,71.4,24.0,50.0,48.0,10.0,23.0,15.0,1.0,31.0,523.0,17.0,8.0,2.0,8.0,20.0,2.0,2.0,0.0,0.0,7.0,3.0,7.0,28.0,2.32,20.0,1.0,3.0,2.0,6.0,0.5,4.0,0.0,1.0,1.0,0.0,14.0,9.0,9.0,3.0,2.0,10.0,1.0,9.0,4.0,3.0,1.0,664.0,5.0,91.0,337.0,241.0,47.0,664.0,434.0,41.0,29.0,13.0,536.0,27.0,21.0,0.0,9.0,20.0,2.0,1.0,0.0,0.0,52.0,0.0,1.0,0.0
+Gianluca Pegolo,it ITA,GK,Sassuolo,41-322,1981,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,64.0,77.0,83.1,1652.0,1058.0,13.0,13.0,100.0,31.0,32.0,96.9,19.0,31.0,61.3,0.0,0.0,0.0,0.0,0.0,56.0,21.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,81.0,71.0,81.0,0.0,0.0,0.0,81.0,46.0,0.0,0.0,0.0,43.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Pietro Pellegri,it ITA,FW,Torino,21-330,2001,11.0,4.0,369.0,1.0,0.0,0.0,0.0,2.0,0.0,0.24,0.0,0.24,0.24,0.24,0.4,0.4,0.1,0.1,4.1,3.0,0.0,50.0,0.73,0.17,0.33,0.07,0.6,0.6,42.0,58.0,72.4,526.0,30.0,28.0,37.0,75.7,11.0,12.0,91.7,1.0,3.0,33.3,4.0,2.0,2.0,0.0,5.0,50.0,8.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,1.21,5.0,0.0,0.0,0.0,1.0,0.24,1.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,1.0,2.0,4.0,1.0,3.0,0.0,2.0,0.0,111.0,1.0,6.0,43.0,62.0,12.0,111.0,68.0,2.0,1.0,1.0,86.0,17.0,15.0,0.0,9.0,13.0,3.0,0.0,0.0,0.0,9.0,8.0,26.0,23.5
+Lorenzo Pellegrini,it ITA,MF,Roma,26-236,1996,18.0,18.0,1523.0,2.0,5.0,2.0,3.0,2.0,0.0,0.12,0.3,0.41,0.0,0.3,4.9,2.6,0.29,0.15,16.9,10.0,2.0,29.4,0.59,0.0,0.0,0.08,-2.9,-2.6,513.0,688.0,74.6,8937.0,2664.0,235.0,271.0,86.7,174.0,215.0,80.9,76.0,150.0,50.7,41.0,41.0,13.0,2.0,65.0,580.0,108.0,44.0,6.0,7.0,85.0,56.0,24.0,32.0,0.0,2.0,0.0,16.0,74.0,4.37,39.0,25.0,4.0,2.0,8.0,0.47,2.0,5.0,1.0,0.0,0.0,29.0,16.0,13.0,13.0,3.0,17.0,2.0,15.0,13.0,11.0,0.0,897.0,15.0,118.0,485.0,303.0,34.0,894.0,485.0,39.0,23.0,4.0,581.0,31.0,16.0,0.0,15.0,34.0,4.0,0.0,0.0,0.0,75.0,7.0,15.0,31.8
+Pepín,gq EQG,MF,Monza,26-180,1996,10.0,7.0,570.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.16,0.16,0.0,0.16,0.3,0.3,0.04,0.04,6.3,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.3,-0.3,277.0,339.0,81.7,4567.0,1259.0,137.0,156.0,87.8,117.0,135.0,86.7,15.0,25.0,60.0,6.0,33.0,13.0,2.0,41.0,330.0,9.0,7.0,1.0,1.0,9.0,1.0,0.0,1.0,0.0,1.0,0.0,7.0,14.0,2.21,14.0,0.0,0.0,0.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,13.0,7.0,3.0,5.0,5.0,7.0,2.0,5.0,7.0,8.0,0.0,405.0,9.0,70.0,230.0,108.0,7.0,405.0,239.0,10.0,15.0,2.0,293.0,7.0,6.0,0.0,14.0,6.0,0.0,0.0,0.0,0.0,31.0,4.0,3.0,57.1
+"Roberto Pereyra,ar ARG,""DF,MF"",Udinese,32-034,1991,18.0,18.0,1549.0,2.0,5.0,0.0,0.0,4.0,0.0,0.12,0.29,0.41,0.12,0.41,1.9,1.9,0.11,0.11,17.2,9.0,1.0,36.0,0.52,0.08,0.22,0.08,0.1,0.1,609.0,764.0,79.7,9282.0,3166.0,333.0,363.0,91.7,209.0,267.0,78.3,40.0,64.0,62.5,25.0,53.0,30.0,5.0,96.0,694.0,68.0,21.0,1.0,6.0,45.0,4.0,2.0,1.0,0.0,42.0,2.0,25.0,64.0,3.71,57.0,0.0,4.0,1.0,8.0,0.46,8.0,0.0,0.0,0.0,0.0,22.0,17.0,12.0,8.0,2.0,13.0,2.0,11.0,12.0,13.0,0.0,940.0,29.0,187.0,381.0,390.0,75.0,940.0,575.0,43.0,28.0,11.0,635.0,19.0,17.0,0.0,15.0,25.0,2.0,0.0,0.0,0.0,101.0,2.0,4.0,33.3"
+Nehuén Pérez,ar ARG,DF,Udinese,22-231,2000,19.0,19.0,1573.0,1.0,0.0,0.0,0.0,3.0,1.0,0.06,0.0,0.06,0.06,0.06,0.8,0.8,0.05,0.05,17.5,6.0,0.0,50.0,0.34,0.08,0.17,0.07,0.2,0.2,894.0,1051.0,85.1,17645.0,6614.0,326.0,353.0,92.4,424.0,471.0,90.0,125.0,195.0,64.1,7.0,71.0,6.0,3.0,70.0,938.0,112.0,31.0,0.0,30.0,15.0,0.0,0.0,0.0,0.0,77.0,1.0,9.0,21.0,1.2,17.0,2.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,40.0,20.0,29.0,10.0,1.0,24.0,12.0,12.0,16.0,69.0,1.0,1246.0,123.0,557.0,569.0,125.0,17.0,1246.0,711.0,16.0,16.0,0.0,801.0,9.0,8.0,0.0,15.0,3.0,0.0,0.0,0.0,0.0,81.0,19.0,9.0,67.9
+Mattia Perin,it ITA,GK,Juventus,30-092,1992,7.0,6.0,588.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,185.0,239.0,77.4,4418.0,2848.0,44.0,45.0,97.8,103.0,103.0,100.0,38.0,91.0,41.8,0.0,6.0,0.0,0.0,1.0,183.0,56.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,246.0,224.0,243.0,3.0,0.0,0.0,246.0,154.0,0.0,0.0,0.0,128.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0
+Matteo Pessina,it ITA,MF,Monza,25-295,1997,19.0,18.0,1534.0,3.0,2.0,2.0,2.0,2.0,0.0,0.18,0.12,0.29,0.06,0.18,3.2,1.6,0.19,0.09,17.0,4.0,0.0,25.0,0.23,0.06,0.25,0.1,-0.2,-0.6,854.0,1006.0,84.9,14112.0,4012.0,417.0,462.0,90.3,350.0,384.0,91.1,63.0,90.0,70.0,14.0,86.0,24.0,2.0,114.0,954.0,47.0,26.0,1.0,4.0,28.0,15.0,0.0,12.0,0.0,5.0,5.0,27.0,41.0,2.41,36.0,1.0,0.0,4.0,6.0,0.35,5.0,0.0,0.0,1.0,0.0,21.0,13.0,7.0,9.0,5.0,30.0,3.0,27.0,20.0,14.0,1.0,1184.0,35.0,236.0,649.0,312.0,34.0,1182.0,721.0,49.0,27.0,5.0,857.0,37.0,25.0,0.0,19.0,28.0,1.0,0.0,0.0,0.0,108.0,17.0,18.0,48.6
+Andrea Petagna,it ITA,FW,Monza,27-225,1995,16.0,10.0,860.0,2.0,3.0,1.0,1.0,1.0,0.0,0.21,0.31,0.52,0.1,0.42,3.2,2.4,0.34,0.25,9.6,6.0,0.0,35.3,0.63,0.06,0.17,0.14,-1.2,-1.4,172.0,241.0,71.4,2593.0,401.0,109.0,135.0,80.7,43.0,70.0,61.4,11.0,15.0,73.3,16.0,14.0,4.0,0.0,18.0,214.0,25.0,0.0,1.0,6.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,22.0,2.3,18.0,0.0,3.0,1.0,4.0,0.42,2.0,0.0,1.0,1.0,0.0,5.0,4.0,2.0,2.0,1.0,8.0,3.0,5.0,2.0,10.0,0.0,355.0,12.0,29.0,174.0,154.0,55.0,354.0,204.0,11.0,6.0,6.0,270.0,38.0,20.0,0.0,12.0,15.0,4.0,1.0,0.0,0.0,26.0,16.0,14.0,53.3
+Giuseppe Pezzella,it ITA,DF,Lecce,25-073,1997,9.0,7.0,630.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.14,0.14,0.0,0.14,0.1,0.1,0.01,0.01,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,288.0,362.0,79.6,4701.0,1837.0,142.0,157.0,90.4,121.0,152.0,79.6,20.0,37.0,54.1,3.0,28.0,8.0,2.0,48.0,275.0,86.0,9.0,0.0,3.0,20.0,1.0,0.0,1.0,0.0,76.0,1.0,9.0,11.0,1.57,11.0,0.0,0.0,0.0,2.0,0.29,2.0,0.0,0.0,0.0,0.0,17.0,7.0,13.0,2.0,2.0,8.0,2.0,6.0,6.0,21.0,1.0,447.0,26.0,162.0,168.0,120.0,5.0,447.0,213.0,14.0,11.0,1.0,217.0,8.0,8.0,0.0,10.0,6.0,1.0,0.0,0.0,0.0,37.0,5.0,4.0,55.6
+Krzysztof Piątek,pl POL,FW,Salernitana,27-224,1995,17.0,13.0,1149.0,3.0,2.0,1.0,1.0,3.0,0.0,0.23,0.16,0.39,0.16,0.31,4.8,4.1,0.38,0.32,12.8,12.0,0.0,38.7,0.94,0.06,0.17,0.13,-1.8,-2.1,217.0,305.0,71.1,2984.0,419.0,128.0,166.0,77.1,62.0,82.0,75.6,11.0,20.0,55.0,10.0,16.0,6.0,0.0,20.0,269.0,33.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,3.0,5.0,23.0,1.8,17.0,0.0,2.0,3.0,4.0,0.31,3.0,0.0,1.0,0.0,0.0,8.0,5.0,0.0,4.0,4.0,6.0,1.0,5.0,0.0,19.0,0.0,452.0,20.0,48.0,223.0,185.0,42.0,451.0,233.0,18.0,6.0,8.0,331.0,43.0,20.0,0.0,20.0,24.0,15.0,0.0,0.0,0.0,30.0,45.0,56.0,44.6
+Roberto Piccoli,it ITA,FW,Hellas Verona,22-014,2001,7.0,2.0,192.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.19,0.19,2.1,2.0,0.0,50.0,0.94,0.0,0.0,0.1,-0.4,-0.4,13.0,25.0,52.0,178.0,55.0,8.0,12.0,66.7,3.0,6.0,50.0,1.0,4.0,25.0,1.0,1.0,0.0,0.0,0.0,23.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.47,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,0.0,2.0,0.0,2.0,0.0,55.0,3.0,8.0,16.0,31.0,11.0,55.0,36.0,2.0,3.0,1.0,41.0,7.0,4.0,0.0,2.0,3.0,4.0,0.0,0.0,0.0,4.0,3.0,13.0,18.8
+Roberto Piccoli,it ITA,FW,Empoli,22-014,2001,1.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,2.0,3.0,66.7,26.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,9.0,3.0,9.0,6.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0
+Charles Pickel,ch SUI,MF,Cremonese,25-271,1997,19.0,17.0,1395.0,1.0,0.0,0.0,0.0,6.0,0.0,0.06,0.0,0.06,0.06,0.06,1.3,1.3,0.08,0.08,15.5,6.0,0.0,35.3,0.39,0.06,0.17,0.08,-0.3,-0.3,447.0,575.0,77.7,7049.0,2083.0,234.0,286.0,81.8,169.0,195.0,86.7,31.0,53.0,58.5,11.0,56.0,8.0,0.0,74.0,560.0,12.0,5.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,3.0,14.0,29.0,1.87,28.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,14.0,17.0,16.0,4.0,20.0,3.0,17.0,11.0,14.0,0.0,739.0,26.0,154.0,413.0,176.0,32.0,739.0,352.0,9.0,16.0,1.0,422.0,19.0,13.0,0.0,18.0,9.0,3.0,0.0,0.0,0.0,97.0,30.0,47.0,39.0
+Andrea Pinamonti,it ITA,FW,Sassuolo,23-267,1999,17.0,16.0,1305.0,3.0,0.0,1.0,1.0,2.0,0.0,0.21,0.0,0.21,0.14,0.14,4.1,3.3,0.28,0.23,14.5,11.0,0.0,28.2,0.76,0.05,0.18,0.08,-1.1,-1.3,187.0,295.0,63.4,2253.0,346.0,131.0,174.0,75.3,37.0,71.0,52.1,5.0,13.0,38.5,11.0,9.0,11.0,2.0,19.0,261.0,34.0,0.0,1.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,36.0,2.48,24.0,0.0,6.0,5.0,2.0,0.14,0.0,0.0,1.0,1.0,0.0,6.0,4.0,0.0,3.0,3.0,13.0,1.0,12.0,2.0,5.0,0.0,441.0,5.0,12.0,210.0,224.0,73.0,440.0,213.0,10.0,5.0,6.0,330.0,33.0,34.0,0.0,11.0,17.0,4.0,1.0,0.0,0.0,20.0,21.0,53.0,28.4
+Lorenzo Pirola,it ITA,DF,Salernitana,20-355,2002,9.0,6.0,590.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,6.6,0.0,0.0,0.0,0.0,0.0,0.0,0.12,-0.2,-0.2,206.0,264.0,78.0,3876.0,1179.0,78.0,89.0,87.6,105.0,124.0,84.7,21.0,38.0,55.3,0.0,14.0,1.0,0.0,12.0,246.0,16.0,11.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,2.0,7.0,3.0,0.46,3.0,0.0,0.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,16.0,12.0,10.0,6.0,0.0,14.0,11.0,3.0,12.0,30.0,0.0,346.0,48.0,200.0,130.0,16.0,2.0,346.0,143.0,7.0,3.0,0.0,202.0,2.0,0.0,0.0,11.0,2.0,0.0,0.0,0.0,0.0,15.0,10.0,12.0,45.5
+"Marko Pjaca,hr CRO,""MF,FW"",Empoli,27-280,1995,10.0,5.0,407.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.14,0.14,4.5,2.0,0.0,15.4,0.44,0.0,0.0,0.05,-0.6,-0.6,146.0,184.0,79.3,2298.0,553.0,76.0,92.0,82.6,48.0,61.0,78.7,14.0,20.0,70.0,8.0,13.0,6.0,3.0,10.0,163.0,21.0,4.0,0.0,0.0,16.0,12.0,5.0,4.0,0.0,0.0,0.0,3.0,18.0,3.98,12.0,2.0,2.0,1.0,1.0,0.22,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,238.0,1.0,22.0,117.0,99.0,13.0,238.0,130.0,15.0,6.0,7.0,180.0,9.0,14.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,21.0,4.0,6.0,40.0"
+Tommaso Pobega,it ITA,MF,Milan,23-210,1999,12.0,6.0,572.0,1.0,0.0,0.0,0.0,2.0,0.0,0.16,0.0,0.16,0.16,0.16,0.8,0.8,0.12,0.12,6.4,3.0,0.0,30.0,0.47,0.1,0.33,0.08,0.2,0.2,169.0,223.0,75.8,2897.0,695.0,78.0,98.0,79.6,71.0,82.0,86.6,17.0,29.0,58.6,4.0,15.0,4.0,1.0,18.0,218.0,5.0,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,18.0,2.83,13.0,0.0,2.0,1.0,2.0,0.31,2.0,0.0,0.0,0.0,0.0,14.0,7.0,3.0,9.0,2.0,6.0,2.0,4.0,7.0,8.0,0.0,281.0,9.0,59.0,152.0,70.0,11.0,281.0,111.0,7.0,8.0,0.0,168.0,8.0,3.0,0.0,24.0,4.0,0.0,0.0,0.0,0.0,31.0,9.0,11.0,45.0
+Matteo Politano,it ITA,FW,Napoli,29-191,1993,19.0,10.0,827.0,3.0,3.0,2.0,3.0,1.0,0.0,0.33,0.33,0.65,0.11,0.44,3.7,1.4,0.41,0.15,9.2,3.0,1.0,15.0,0.33,0.05,0.33,0.07,-0.7,-0.4,325.0,449.0,72.4,5025.0,1675.0,189.0,212.0,89.2,96.0,132.0,72.7,26.0,57.0,45.6,27.0,17.0,19.0,3.0,48.0,403.0,42.0,10.0,2.0,6.0,50.0,19.0,13.0,2.0,0.0,13.0,4.0,20.0,55.0,5.98,35.0,7.0,5.0,1.0,4.0,0.43,3.0,0.0,1.0,0.0,0.0,15.0,7.0,8.0,3.0,4.0,3.0,0.0,3.0,6.0,5.0,0.0,561.0,7.0,79.0,183.0,305.0,46.0,558.0,368.0,60.0,28.0,22.0,419.0,22.0,11.0,0.0,10.0,17.0,1.0,0.0,0.0,0.0,48.0,3.0,4.0,42.9
+Marin Pongračić,hr CRO,DF,Lecce,25-152,1997,9.0,9.0,790.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.8,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,296.0,361.0,82.0,6388.0,2314.0,73.0,94.0,77.7,171.0,195.0,87.7,47.0,63.0,74.6,2.0,16.0,2.0,0.0,19.0,324.0,37.0,37.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.68,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,14.0,8.0,7.0,1.0,4.0,3.0,1.0,16.0,31.0,0.0,435.0,48.0,232.0,201.0,11.0,4.0,435.0,223.0,3.0,1.0,0.0,210.0,5.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,59.0,9.0,10.0,47.4
+Stefan Posch,at AUT,DF,Bologna,25-272,1997,14.0,14.0,1228.0,4.0,1.0,0.0,0.0,1.0,0.0,0.29,0.07,0.37,0.29,0.37,1.4,1.4,0.1,0.1,13.6,7.0,0.0,58.3,0.51,0.33,0.57,0.12,2.6,2.6,576.0,794.0,72.5,10057.0,4675.0,271.0,316.0,85.8,242.0,297.0,81.5,49.0,130.0,37.7,13.0,51.0,15.0,3.0,71.0,655.0,137.0,10.0,3.0,4.0,27.0,0.0,0.0,0.0,0.0,127.0,2.0,25.0,24.0,1.76,20.0,2.0,0.0,1.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,41.0,25.0,22.0,14.0,5.0,23.0,7.0,16.0,23.0,40.0,0.0,966.0,63.0,383.0,430.0,164.0,17.0,966.0,442.0,19.0,20.0,2.0,546.0,20.0,6.0,0.0,18.0,10.0,1.0,0.0,0.0,0.0,66.0,13.0,12.0,52.0
+Ivan Provedel,it ITA,GK,Lazio,28-330,1994,21.0,20.0,1883.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,611.0,774.0,78.9,16785.0,12130.0,128.0,128.0,100.0,228.0,237.0,96.2,251.0,401.0,62.6,1.0,11.0,0.0,0.0,0.0,593.0,177.0,57.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,0.19,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,821.0,699.0,818.0,5.0,0.0,0.0,821.0,496.0,0.0,0.0,0.0,431.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,38.0,2.0,0.0,100.0
+"Ignacio Pussetto,ar ARG,""MF,DF"",Sampdoria,27-051,1995,5.0,1.0,152.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.09,0.09,1.7,2.0,0.0,100.0,1.18,0.0,0.0,0.08,-0.2,-0.2,34.0,56.0,60.7,404.0,91.0,25.0,32.0,78.1,7.0,12.0,58.3,0.0,4.0,0.0,2.0,2.0,0.0,0.0,1.0,55.0,1.0,1.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.18,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,3.0,1.0,4.0,0.0,4.0,0.0,3.0,0.0,81.0,2.0,11.0,23.0,47.0,5.0,81.0,34.0,2.0,1.0,0.0,51.0,7.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,4.0,4.0,5.0,44.4"
+Niklas Pyyhtiä,fi FIN,MF,Bologna,19-138,2003,3.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.22,0.22,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,14.0,20.0,70.0,220.0,6.0,8.0,11.0,72.7,5.0,6.0,83.3,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,24.0,0.0,7.0,11.0,6.0,2.0,24.0,16.0,1.0,0.0,0.0,20.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0
+Fabio Quagliarella,it ITA,FW,Sampdoria,40-010,1983,15.0,2.0,360.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,1.6,0.39,0.39,4.0,5.0,0.0,27.8,1.25,0.0,0.0,0.09,-1.6,-1.6,72.0,107.0,67.3,1101.0,281.0,34.0,39.0,87.2,23.0,33.0,69.7,6.0,15.0,40.0,2.0,8.0,4.0,0.0,12.0,100.0,7.0,1.0,1.0,3.0,7.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,10.0,2.48,9.0,0.0,1.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,4.0,0.0,4.0,0.0,3.0,0.0,160.0,3.0,9.0,57.0,95.0,28.0,160.0,104.0,3.0,2.0,1.0,120.0,15.0,2.0,0.0,3.0,8.0,5.0,0.0,0.0,0.0,10.0,5.0,16.0,23.8
+Giacomo Quagliata,it ITA,DF,Cremonese,22-356,2000,13.0,4.0,493.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.09,0.09,5.5,1.0,1.0,11.1,0.18,0.0,0.0,0.05,-0.5,-0.5,153.0,249.0,61.4,2576.0,1123.0,77.0,88.0,87.5,63.0,98.0,64.3,11.0,44.0,25.0,6.0,16.0,8.0,6.0,23.0,191.0,57.0,1.0,0.0,0.0,40.0,4.0,0.0,3.0,0.0,52.0,1.0,13.0,17.0,3.1,10.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,6.0,0.0,2.0,5.0,2.0,3.0,8.0,5.0,0.0,313.0,9.0,83.0,104.0,135.0,8.0,313.0,133.0,13.0,13.0,0.0,145.0,9.0,4.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,43.0,2.0,8.0,20.0
+Adrien Rabiot,fr FRA,MF,Juventus,27-313,1995,17.0,16.0,1398.0,3.0,2.0,0.0,0.0,3.0,0.0,0.19,0.13,0.32,0.19,0.32,2.4,2.4,0.15,0.15,15.5,12.0,0.0,54.5,0.77,0.14,0.25,0.11,0.6,0.6,485.0,587.0,82.6,7982.0,2197.0,242.0,274.0,88.3,184.0,218.0,84.4,43.0,57.0,75.4,18.0,51.0,15.0,1.0,75.0,568.0,17.0,7.0,2.0,3.0,17.0,0.0,0.0,0.0,0.0,10.0,2.0,12.0,48.0,3.09,40.0,0.0,3.0,2.0,4.0,0.26,3.0,0.0,0.0,1.0,0.0,34.0,17.0,14.0,14.0,6.0,25.0,4.0,21.0,16.0,15.0,1.0,779.0,27.0,163.0,398.0,231.0,36.0,779.0,420.0,27.0,31.0,2.0,492.0,26.0,20.0,0.0,18.0,24.0,2.0,0.0,0.0,0.0,102.0,19.0,18.0,51.4
+"Nemanja Radonjić,rs SRB,""MF,FW"",Torino,26-360,1996,18.0,10.0,905.0,2.0,1.0,0.0,0.0,0.0,0.0,0.2,0.1,0.3,0.2,0.3,2.9,2.9,0.29,0.29,10.1,12.0,0.0,34.3,1.19,0.06,0.17,0.08,-0.9,-0.9,180.0,285.0,63.2,2648.0,696.0,113.0,146.0,77.4,41.0,70.0,58.6,17.0,37.0,45.9,11.0,10.0,10.0,4.0,25.0,267.0,17.0,0.0,1.0,4.0,42.0,15.0,7.0,5.0,0.0,2.0,1.0,12.0,28.0,2.79,20.0,3.0,1.0,0.0,4.0,0.4,4.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,443.0,2.0,21.0,142.0,289.0,57.0,443.0,324.0,51.0,33.0,31.0,357.0,39.0,21.0,0.0,14.0,7.0,9.0,0.0,0.0,0.0,38.0,6.0,9.0,40.0"
+"Ivan Radovanović,rs SRB,""MF,DF"",Salernitana,34-165,1988,10.0,7.0,671.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,7.5,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.2,-0.2,214.0,265.0,80.8,4318.0,1602.0,75.0,84.0,89.3,105.0,115.0,91.3,32.0,57.0,56.1,1.0,19.0,0.0,0.0,16.0,252.0,12.0,12.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,0.27,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,4.0,8.0,4.0,0.0,9.0,3.0,6.0,7.0,9.0,1.0,323.0,30.0,130.0,182.0,14.0,2.0,323.0,175.0,2.0,1.0,0.0,203.0,6.0,0.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,47.0,8.0,12.0,40.0"
+Ionuț Radu,ro ROU,GK,Cremonese,25-258,1997,9.0,9.0,810.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,221.0,336.0,65.8,6117.0,4391.0,51.0,52.0,98.1,100.0,102.0,98.0,69.0,177.0,39.0,2.0,10.0,2.0,0.0,0.0,248.0,84.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,6.0,0.67,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,366.0,305.0,366.0,0.0,0.0,0.0,366.0,205.0,0.0,0.0,0.0,170.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,3.0,1.0,75.0
+Luca Ranieri,it ITA,DF,Fiorentina,23-293,1999,2.0,2.0,175.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,77.0,97.0,79.4,1591.0,456.0,17.0,19.0,89.5,50.0,55.0,90.9,10.0,19.0,52.6,1.0,4.0,0.0,0.0,4.0,96.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,5.0,7.0,1.0,117.0,12.0,60.0,55.0,2.0,1.0,117.0,71.0,1.0,0.0,0.0,79.0,2.0,0.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,8.0,4.0,10.0,28.6
+Andrea Ranocchia,it ITA,DF,Monza,34-359,1988,1.0,1.0,47.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,19.0,84.2,347.0,109.0,2.0,2.0,100.0,11.0,12.0,91.7,2.0,4.0,50.0,0.0,2.0,0.0,0.0,0.0,15.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,5.0,5.0,0.0,0.0,7.0,0.0,35.0,13.0,28.0,7.0,0.0,0.0,35.0,11.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,33.3
+Filippo Ranocchia,it ITA,MF,Monza,21-272,2001,11.0,5.0,477.0,1.0,0.0,0.0,0.0,1.0,0.0,0.19,0.0,0.19,0.19,0.19,0.8,0.8,0.15,0.15,5.3,5.0,4.0,38.5,0.94,0.08,0.2,0.06,0.2,0.2,167.0,212.0,78.8,3258.0,983.0,71.0,80.0,88.8,68.0,83.0,81.9,26.0,40.0,65.0,6.0,19.0,5.0,1.0,22.0,200.0,12.0,6.0,3.0,8.0,13.0,4.0,0.0,4.0,0.0,2.0,0.0,4.0,13.0,2.45,5.0,4.0,2.0,1.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,10.0,6.0,5.0,3.0,2.0,5.0,1.0,4.0,4.0,5.0,0.0,272.0,12.0,63.0,140.0,74.0,2.0,272.0,176.0,8.0,12.0,0.0,196.0,8.0,8.0,0.0,5.0,10.0,0.0,0.0,0.0,0.0,28.0,1.0,6.0,14.3
+"Giacomo Raspadori,it ITA,""FW,MF"",Napoli,22-357,2000,14.0,7.0,572.0,1.0,0.0,0.0,0.0,1.0,0.0,0.16,0.0,0.16,0.16,0.16,2.4,2.4,0.38,0.38,6.4,12.0,3.0,48.0,1.89,0.04,0.08,0.1,-1.4,-1.4,224.0,294.0,76.2,3477.0,553.0,115.0,138.0,83.3,76.0,90.0,84.4,16.0,35.0,45.7,8.0,8.0,5.0,0.0,17.0,273.0,21.0,7.0,0.0,6.0,13.0,8.0,4.0,1.0,0.0,1.0,0.0,10.0,23.0,3.63,16.0,2.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,0.0,5.0,3.0,6.0,0.0,6.0,2.0,2.0,0.0,377.0,2.0,32.0,168.0,178.0,36.0,377.0,237.0,8.0,6.0,4.0,293.0,21.0,9.0,0.0,5.0,5.0,1.0,0.0,0.0,0.0,20.0,1.0,6.0,14.3"
+Giacomo Raspadori,it ITA,FW,Sassuolo,22-357,2000,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,12.0,83.3,207.0,33.0,2.0,2.0,100.0,6.0,7.0,85.7,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,9.0,3.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,0.0,7.0,8.0,2.0,15.0,10.0,0.0,1.0,0.0,12.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Ante Rebić,hr CRO,FW,Milan,29-142,1993,13.0,5.0,514.0,3.0,2.0,0.0,0.0,4.0,0.0,0.53,0.35,0.88,0.53,0.88,2.3,2.3,0.4,0.4,5.7,9.0,1.0,50.0,1.58,0.17,0.33,0.13,0.7,0.7,91.0,172.0,52.9,1476.0,452.0,51.0,68.0,75.0,26.0,53.0,49.1,9.0,21.0,42.9,9.0,11.0,5.0,1.0,16.0,163.0,6.0,2.0,4.0,1.0,17.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,21.0,3.67,14.0,0.0,2.0,3.0,3.0,0.52,3.0,0.0,0.0,0.0,0.0,5.0,3.0,0.0,1.0,4.0,4.0,0.0,4.0,1.0,4.0,0.0,232.0,3.0,11.0,87.0,138.0,27.0,232.0,141.0,10.0,9.0,3.0,188.0,17.0,10.0,0.0,13.0,8.0,5.0,0.0,0.0,0.0,18.0,8.0,5.0,61.5
+Arkadiusz Reca,pl POL,DF,Spezia,27-238,1995,17.0,15.0,1250.0,1.0,1.0,0.0,0.0,3.0,0.0,0.07,0.07,0.14,0.07,0.14,0.6,0.6,0.04,0.04,13.9,4.0,0.0,36.4,0.29,0.09,0.25,0.05,0.4,0.4,420.0,612.0,68.6,7255.0,3149.0,197.0,253.0,77.9,161.0,214.0,75.2,50.0,103.0,48.5,11.0,32.0,16.0,12.0,40.0,488.0,122.0,2.0,0.0,7.0,41.0,0.0,0.0,0.0,0.0,120.0,2.0,20.0,28.0,2.02,23.0,1.0,2.0,1.0,2.0,0.14,1.0,0.0,1.0,0.0,0.0,27.0,15.0,14.0,7.0,6.0,14.0,3.0,11.0,16.0,36.0,0.0,777.0,62.0,249.0,345.0,190.0,15.0,777.0,371.0,35.0,29.0,3.0,421.0,21.0,7.0,0.0,17.0,6.0,1.0,0.0,1.0,0.0,72.0,7.0,8.0,46.7
+Panagiotis Retsos,gr GRE,DF,Hellas Verona,24-185,1998,2.0,1.0,122.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,44.0,56.0,78.6,781.0,321.0,20.0,23.0,87.0,20.0,24.0,83.3,4.0,7.0,57.1,1.0,3.0,0.0,0.0,2.0,43.0,12.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,1.0,1.0,0.73,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,4.0,1.0,3.0,2.0,3.0,0.0,76.0,8.0,31.0,38.0,7.0,1.0,76.0,35.0,2.0,0.0,0.0,33.0,0.0,1.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,7.0,3.0,3.0,50.0
+Franck Ribéry,fr FRA,MF,Salernitana,39-309,1983,1.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,22.0,86.4,235.0,19.0,11.0,12.0,91.7,7.0,8.0,87.5,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.43,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,28.0,0.0,3.0,16.0,10.0,0.0,28.0,15.0,1.0,1.0,0.0,24.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Samuele Ricci,it ITA,MF,Torino,21-173,2001,15.0,13.0,1197.0,1.0,1.0,0.0,0.0,4.0,0.0,0.08,0.08,0.15,0.08,0.15,0.7,0.7,0.05,0.05,13.3,4.0,0.0,36.4,0.3,0.09,0.25,0.07,0.3,0.3,621.0,699.0,88.8,10582.0,2523.0,282.0,312.0,90.4,270.0,287.0,94.1,47.0,61.0,77.0,8.0,63.0,8.0,1.0,63.0,668.0,28.0,25.0,2.0,4.0,9.0,2.0,1.0,1.0,0.0,1.0,3.0,7.0,25.0,1.88,20.0,0.0,2.0,2.0,1.0,0.08,0.0,0.0,1.0,0.0,0.0,15.0,7.0,7.0,4.0,4.0,15.0,4.0,11.0,10.0,14.0,0.0,809.0,32.0,145.0,523.0,148.0,5.0,809.0,515.0,25.0,17.0,1.0,577.0,12.0,11.0,0.0,13.0,35.0,0.0,0.0,0.0,0.0,84.0,5.0,5.0,50.0
+Tomás Rincón,ve VEN,MF,Sampdoria,35-028,1988,18.0,16.0,1324.0,0.0,2.0,0.0,0.0,3.0,1.0,0.0,0.14,0.14,0.0,0.14,0.5,0.5,0.03,0.03,14.7,3.0,0.0,33.3,0.2,0.0,0.0,0.06,-0.5,-0.5,507.0,627.0,80.9,8636.0,2481.0,247.0,281.0,87.9,198.0,232.0,85.3,49.0,87.0,56.3,14.0,74.0,15.0,3.0,73.0,602.0,22.0,14.0,1.0,10.0,11.0,1.0,0.0,1.0,0.0,4.0,3.0,4.0,25.0,1.7,23.0,0.0,0.0,0.0,3.0,0.2,2.0,0.0,0.0,0.0,1.0,35.0,17.0,12.0,17.0,6.0,18.0,0.0,18.0,19.0,7.0,0.0,766.0,12.0,118.0,481.0,178.0,13.0,766.0,435.0,16.0,19.0,3.0,505.0,16.0,14.0,0.0,27.0,15.0,0.0,0.0,0.0,0.0,84.0,17.0,8.0,68.0
+"Pablo Rodríguez,es ESP,""FW,MF"",Lecce,21-190,2001,4.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,21.0,66.7,215.0,66.0,6.0,10.0,60.0,6.0,7.0,85.7,1.0,1.0,100.0,1.0,2.0,0.0,0.0,3.0,18.0,3.0,0.0,0.0,0.0,4.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,32.0,0.0,4.0,18.0,11.0,0.0,32.0,21.0,2.0,2.0,0.0,22.0,1.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0"
+Ricardo Rodríguez,ch SUI,DF,Torino,30-169,1992,18.0,13.0,1283.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,14.3,2.0,1.0,33.3,0.14,0.0,0.0,0.04,-0.3,-0.3,692.0,830.0,83.4,12636.0,4167.0,289.0,317.0,91.2,324.0,354.0,91.5,65.0,127.0,51.2,12.0,60.0,10.0,5.0,64.0,783.0,45.0,26.0,0.0,12.0,32.0,9.0,6.0,3.0,0.0,5.0,2.0,11.0,29.0,2.04,25.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,16.0,16.0,9.0,4.0,18.0,10.0,8.0,20.0,34.0,0.0,959.0,68.0,379.0,463.0,122.0,5.0,959.0,552.0,18.0,23.0,3.0,630.0,5.0,3.0,0.0,16.0,6.0,0.0,0.0,0.0,0.0,86.0,18.0,21.0,46.2
+Rogério,br BRA,DF,Sassuolo,25-028,1998,20.0,19.0,1648.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.11,0.11,0.0,0.11,0.3,0.3,0.01,0.01,18.3,1.0,0.0,16.7,0.05,0.0,0.0,0.04,-0.3,-0.3,925.0,1160.0,79.7,16820.0,6315.0,420.0,452.0,92.9,370.0,449.0,82.4,117.0,199.0,58.8,9.0,65.0,27.0,12.0,98.0,946.0,211.0,29.0,0.0,15.0,57.0,0.0,0.0,0.0,0.0,182.0,3.0,27.0,32.0,1.75,28.0,3.0,0.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,22.0,14.0,14.0,3.0,5.0,19.0,5.0,14.0,18.0,40.0,0.0,1302.0,51.0,467.0,589.0,260.0,9.0,1302.0,715.0,48.0,34.0,4.0,812.0,13.0,4.0,0.0,13.0,21.0,0.0,0.0,0.0,0.0,89.0,10.0,20.0,33.3
+Alessio Romagnoli,it ITA,DF,Lazio,28-029,1995,20.0,19.0,1734.0,1.0,0.0,0.0,0.0,1.0,0.0,0.05,0.0,0.05,0.05,0.05,0.5,0.5,0.02,0.02,19.3,2.0,0.0,28.6,0.1,0.14,0.5,0.07,0.5,0.5,905.0,1019.0,88.8,15600.0,6110.0,413.0,441.0,93.7,377.0,410.0,92.0,87.0,127.0,68.5,2.0,44.0,3.0,0.0,33.0,926.0,93.0,56.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,7.0,0.36,6.0,1.0,0.0,0.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,26.0,13.0,15.0,11.0,0.0,22.0,17.0,5.0,25.0,68.0,0.0,1186.0,194.0,640.0,532.0,17.0,10.0,1186.0,557.0,3.0,2.0,1.0,741.0,4.0,3.0,0.0,19.0,13.0,1.0,0.0,0.0,0.0,79.0,45.0,25.0,64.3
+Luka Romero,ar ARG,FW,Lazio,18-084,2004,5.0,1.0,138.0,1.0,0.0,0.0,0.0,0.0,0.0,0.65,0.0,0.65,0.65,0.65,0.8,0.8,0.53,0.53,1.5,1.0,0.0,25.0,0.65,0.25,1.0,0.2,0.2,0.2,63.0,72.0,87.5,736.0,147.0,50.0,53.0,94.3,9.0,11.0,81.8,1.0,2.0,50.0,2.0,2.0,0.0,0.0,4.0,70.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,3.0,1.96,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,3.0,1.0,0.0,102.0,1.0,13.0,46.0,43.0,5.0,102.0,79.0,4.0,3.0,2.0,81.0,4.0,4.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,9.0,2.0,1.0,66.7
+Marten de Roon,nl NED,MF,Atalanta,31-318,1991,19.0,18.0,1524.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.06,0.06,0.0,0.06,0.4,0.4,0.02,0.02,16.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,727.0,891.0,81.6,13773.0,4019.0,277.0,312.0,88.8,356.0,419.0,85.0,80.0,122.0,65.6,6.0,63.0,6.0,0.0,74.0,851.0,38.0,27.0,0.0,16.0,7.0,0.0,0.0,0.0,0.0,7.0,2.0,10.0,23.0,1.36,20.0,0.0,0.0,2.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,32.0,16.0,16.0,16.0,0.0,17.0,2.0,15.0,19.0,33.0,0.0,1030.0,70.0,329.0,566.0,139.0,7.0,1030.0,520.0,6.0,14.0,0.0,605.0,10.0,8.0,0.0,23.0,13.0,0.0,0.0,0.0,0.0,113.0,25.0,16.0,61.0
+Nicolò Rovella,it ITA,MF,Monza,21-068,2001,12.0,10.0,879.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,9.8,1.0,0.0,11.1,0.1,0.0,0.0,0.04,-0.3,-0.3,664.0,753.0,88.2,12592.0,3095.0,270.0,292.0,92.5,297.0,323.0,92.0,89.0,116.0,76.7,14.0,69.0,9.0,2.0,59.0,715.0,35.0,28.0,0.0,14.0,17.0,4.0,0.0,3.0,0.0,3.0,3.0,8.0,31.0,3.17,30.0,1.0,0.0,0.0,3.0,0.31,3.0,0.0,0.0,0.0,0.0,21.0,15.0,12.0,8.0,1.0,13.0,1.0,12.0,20.0,6.0,0.0,847.0,20.0,181.0,521.0,155.0,4.0,847.0,533.0,13.0,25.0,1.0,632.0,10.0,4.0,0.0,13.0,11.0,0.0,0.0,0.0,0.0,70.0,4.0,4.0,50.0
+Nicolò Rovella,it ITA,MF,Juventus,21-068,2001,3.0,0.0,27.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.3,0.3,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,22.0,25.0,88.0,448.0,82.0,7.0,8.0,87.5,11.0,12.0,91.7,3.0,4.0,75.0,0.0,3.0,0.0,0.0,1.0,22.0,3.0,1.0,0.0,2.0,3.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,0.0,4.0,17.0,9.0,0.0,29.0,21.0,1.0,1.0,0.0,24.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Amir Rrahmani,xk KVX,DF,Napoli,28-351,1994,14.0,13.0,1206.0,1.0,0.0,0.0,0.0,1.0,0.0,0.07,0.0,0.07,0.07,0.07,1.2,1.2,0.09,0.09,13.4,1.0,0.0,8.3,0.07,0.08,1.0,0.1,-0.2,-0.2,941.0,1039.0,90.6,18904.0,6573.0,297.0,321.0,92.5,495.0,519.0,95.4,132.0,172.0,76.7,5.0,58.0,1.0,0.0,61.0,999.0,39.0,37.0,0.0,17.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,12.0,0.9,10.0,0.0,1.0,0.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,22.0,14.0,17.0,5.0,0.0,21.0,13.0,8.0,8.0,44.0,1.0,1148.0,132.0,492.0,631.0,30.0,13.0,1148.0,707.0,10.0,4.0,1.0,819.0,3.0,1.0,0.0,8.0,9.0,1.0,0.0,0.0,0.0,77.0,40.0,26.0,60.6
+Ruan,br BRA,DF,Sassuolo,23-248,1999,8.0,6.0,506.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,217.0,256.0,84.8,4347.0,1018.0,60.0,69.0,87.0,132.0,148.0,89.2,22.0,31.0,71.0,0.0,5.0,0.0,0.0,1.0,241.0,15.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,3.0,0.53,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,12.0,12.0,3.0,0.0,7.0,4.0,3.0,7.0,29.0,1.0,321.0,51.0,202.0,118.0,3.0,2.0,321.0,134.0,2.0,1.0,0.0,174.0,1.0,0.0,0.0,10.0,6.0,0.0,0.0,1.0,0.0,32.0,18.0,16.0,52.9
+Daniele Rugani,it ITA,DF,Juventus,28-196,1994,3.0,3.0,258.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.09,0.09,2.9,1.0,0.0,50.0,0.35,0.0,0.0,0.13,-0.3,-0.3,142.0,164.0,86.6,2985.0,854.0,34.0,38.0,89.5,96.0,103.0,93.2,12.0,23.0,52.2,0.0,7.0,0.0,0.0,5.0,163.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,3.0,2.0,1.0,2.0,10.0,0.0,186.0,21.0,105.0,75.0,6.0,2.0,186.0,126.0,2.0,0.0,0.0,139.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,6.0,7.0,2.0,77.8
+"Matteo Ruggeri,it ITA,""DF,MF"",Atalanta,20-214,2002,10.0,4.0,462.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,5.1,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,260.0,323.0,80.5,4244.0,1794.0,140.0,159.0,88.1,95.0,117.0,81.2,19.0,31.0,61.3,4.0,19.0,8.0,4.0,28.0,269.0,52.0,4.0,0.0,2.0,20.0,0.0,0.0,0.0,0.0,48.0,2.0,3.0,8.0,1.56,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,4.0,6.0,2.0,9.0,3.0,6.0,10.0,9.0,0.0,374.0,16.0,119.0,153.0,103.0,6.0,374.0,183.0,11.0,6.0,2.0,221.0,1.0,4.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,25.0,9.0,2.0,81.8"
+Mário Rui,pt POR,DF,Napoli,31-259,1991,17.0,16.0,1359.0,0.0,6.0,0.0,0.0,2.0,0.0,0.0,0.4,0.4,0.0,0.4,0.5,0.5,0.03,0.03,15.1,2.0,1.0,25.0,0.13,0.0,0.0,0.06,-0.5,-0.5,1088.0,1338.0,81.3,19937.0,6728.0,526.0,576.0,91.3,409.0,488.0,83.8,141.0,229.0,61.6,42.0,111.0,39.0,12.0,120.0,1095.0,238.0,56.0,1.0,26.0,81.0,31.0,13.0,15.0,0.0,151.0,5.0,16.0,72.0,4.77,51.0,18.0,0.0,1.0,13.0,0.86,11.0,1.0,0.0,0.0,1.0,25.0,15.0,13.0,10.0,2.0,15.0,3.0,12.0,15.0,20.0,1.0,1445.0,33.0,299.0,735.0,420.0,7.0,1445.0,850.0,44.0,47.0,1.0,956.0,7.0,6.0,0.0,14.0,25.0,0.0,0.0,0.0,0.0,113.0,10.0,17.0,37.0
+"Abdelhamid Sabiri,ma MAR,""MF,FW"",Sampdoria,26-074,1996,13.0,11.0,914.0,1.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,1.1,1.1,0.1,0.1,10.2,8.0,6.0,32.0,0.79,0.04,0.13,0.04,-0.1,-0.1,271.0,404.0,67.1,4896.0,1483.0,122.0,152.0,80.3,103.0,142.0,72.5,36.0,78.0,46.2,14.0,40.0,12.0,0.0,45.0,342.0,60.0,29.0,3.0,7.0,48.0,28.0,7.0,17.0,0.0,2.0,2.0,11.0,35.0,3.44,19.0,6.0,3.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,5.0,8.0,4.0,15.0,2.0,13.0,2.0,4.0,0.0,538.0,12.0,53.0,266.0,225.0,26.0,538.0,309.0,5.0,18.0,4.0,367.0,29.0,22.0,0.0,23.0,31.0,0.0,0.0,0.0,0.0,43.0,26.0,18.0,59.1"
+"Alexis Saelemaekers,be BEL,""FW,DF"",Milan,23-228,1999,13.0,7.0,599.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.15,0.15,0.0,0.15,0.7,0.7,0.1,0.1,6.7,3.0,0.0,30.0,0.45,0.0,0.0,0.07,-0.7,-0.7,176.0,240.0,73.3,2546.0,713.0,102.0,129.0,79.1,60.0,79.0,75.9,7.0,13.0,53.8,6.0,11.0,13.0,6.0,21.0,233.0,7.0,1.0,1.0,2.0,19.0,0.0,0.0,0.0,0.0,6.0,0.0,6.0,18.0,2.72,15.0,0.0,2.0,1.0,2.0,0.3,2.0,0.0,0.0,0.0,0.0,13.0,9.0,6.0,6.0,1.0,4.0,1.0,3.0,5.0,3.0,0.0,320.0,6.0,41.0,128.0,154.0,21.0,320.0,201.0,22.0,8.0,7.0,239.0,19.0,12.0,0.0,14.0,10.0,0.0,0.0,1.0,0.0,17.0,5.0,1.0,83.3"
+Jacopo Sala,it ITA,MF,Spezia,31-067,1991,6.0,1.0,112.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,46.0,78.3,589.0,199.0,20.0,21.0,95.2,13.0,15.0,86.7,3.0,5.0,60.0,1.0,4.0,2.0,0.0,6.0,40.0,6.0,4.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,2.0,1.62,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,0.0,2.0,1.0,2.0,0.0,57.0,2.0,14.0,28.0,16.0,2.0,57.0,32.0,2.0,0.0,0.0,34.0,1.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
+Lazar Samardzic,de GER,MF,Udinese,20-351,2002,20.0,7.0,836.0,4.0,1.0,0.0,0.0,0.0,0.0,0.43,0.11,0.54,0.43,0.54,1.8,1.8,0.19,0.19,9.3,12.0,4.0,38.7,1.29,0.13,0.33,0.06,2.2,2.2,341.0,427.0,79.9,6691.0,2117.0,145.0,153.0,94.8,118.0,142.0,83.1,66.0,109.0,60.6,27.0,41.0,12.0,2.0,56.0,368.0,57.0,20.0,1.0,11.0,48.0,35.0,18.0,9.0,0.0,2.0,2.0,6.0,56.0,6.03,30.0,14.0,5.0,1.0,4.0,0.43,2.0,1.0,0.0,0.0,1.0,17.0,8.0,5.0,9.0,3.0,6.0,0.0,6.0,7.0,6.0,0.0,542.0,8.0,72.0,258.0,221.0,27.0,542.0,315.0,20.0,17.0,6.0,342.0,20.0,14.0,0.0,11.0,7.0,0.0,0.0,0.0,0.0,66.0,5.0,14.0,26.3
+"Junior Sambia,fr FRA,""DF,MF"",Salernitana,26-156,1996,10.0,3.0,319.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,3.5,2.0,2.0,40.0,0.56,0.0,0.0,0.04,-0.2,-0.2,159.0,190.0,83.7,2252.0,906.0,93.0,102.0,91.2,51.0,59.0,86.4,6.0,17.0,35.3,1.0,6.0,4.0,0.0,15.0,158.0,32.0,3.0,0.0,1.0,14.0,5.0,3.0,1.0,0.0,24.0,0.0,1.0,8.0,2.26,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,4.0,2.0,1.0,4.0,2.0,2.0,2.0,9.0,1.0,229.0,14.0,51.0,103.0,75.0,5.0,229.0,130.0,12.0,11.0,2.0,147.0,2.0,3.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,13.0,2.0,5.0,28.6"
+Antonio Sanabria,py PAR,FW,Torino,26-343,1996,16.0,11.0,1003.0,4.0,1.0,0.0,0.0,3.0,0.0,0.36,0.09,0.45,0.36,0.45,2.9,2.9,0.26,0.26,11.1,8.0,0.0,36.4,0.72,0.18,0.5,0.13,1.1,1.1,219.0,294.0,74.5,2919.0,392.0,146.0,175.0,83.4,56.0,79.0,70.9,5.0,8.0,62.5,10.0,14.0,8.0,0.0,21.0,268.0,25.0,2.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,8.0,19.0,1.71,15.0,0.0,1.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,5.0,4.0,0.0,2.0,3.0,2.0,1.0,1.0,3.0,4.0,0.0,398.0,7.0,27.0,184.0,193.0,42.0,398.0,199.0,5.0,5.0,1.0,294.0,34.0,10.0,0.0,17.0,12.0,7.0,0.0,0.0,0.0,31.0,35.0,51.0,40.7
+"Leandro Sanca,pt POR,""FW,MF"",Spezia,23-037,2000,4.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,171.0,27.0,4.0,5.0,80.0,2.0,4.0,50.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,11.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,1.0,6.0,11.0,0.0,17.0,10.0,1.0,1.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0"
+Alex Sandro,br BRA,DF,Juventus,32-015,1991,17.0,13.0,1140.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.08,0.08,0.0,0.08,0.1,0.1,0.01,0.01,12.7,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,703.0,819.0,85.8,12825.0,4080.0,291.0,319.0,91.2,326.0,358.0,91.1,74.0,108.0,68.5,7.0,55.0,3.0,1.0,65.0,715.0,101.0,12.0,0.0,6.0,11.0,0.0,0.0,0.0,0.0,79.0,3.0,8.0,20.0,1.58,17.0,0.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,17.0,9.0,7.0,9.0,1.0,14.0,7.0,7.0,13.0,31.0,0.0,931.0,67.0,317.0,496.0,125.0,8.0,931.0,483.0,34.0,23.0,2.0,586.0,16.0,9.0,0.0,19.0,16.0,0.0,1.0,0.0,0.0,84.0,25.0,11.0,69.4
+Nicola Sansone,it ITA,FW,Bologna,31-153,1991,10.0,5.0,421.0,1.0,0.0,0.0,0.0,2.0,0.0,0.21,0.0,0.21,0.21,0.21,1.6,1.6,0.34,0.34,4.7,3.0,1.0,21.4,0.64,0.07,0.33,0.12,-0.6,-0.6,83.0,114.0,72.8,1128.0,230.0,45.0,55.0,81.8,24.0,31.0,77.4,4.0,9.0,44.4,1.0,4.0,2.0,0.0,6.0,102.0,10.0,0.0,0.0,1.0,9.0,5.0,4.0,0.0,0.0,0.0,2.0,4.0,14.0,2.99,8.0,0.0,1.0,3.0,2.0,0.43,0.0,0.0,0.0,2.0,0.0,4.0,2.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,173.0,3.0,16.0,74.0,88.0,17.0,173.0,118.0,14.0,11.0,6.0,138.0,16.0,8.0,0.0,7.0,10.0,4.0,2.0,0.0,0.0,14.0,0.0,8.0,0.0
+Riccardo Saponara,it ITA,FW,Fiorentina,31-051,1991,17.0,7.0,728.0,2.0,2.0,0.0,0.0,3.0,0.0,0.25,0.25,0.49,0.25,0.49,1.4,1.4,0.17,0.17,8.1,8.0,0.0,34.8,0.99,0.09,0.25,0.06,0.6,0.6,227.0,304.0,74.7,3284.0,887.0,147.0,170.0,86.5,62.0,84.0,73.8,10.0,23.0,43.5,13.0,19.0,16.0,3.0,34.0,300.0,3.0,0.0,2.0,6.0,18.0,0.0,0.0,0.0,0.0,3.0,1.0,6.0,33.0,4.09,22.0,0.0,5.0,2.0,3.0,0.37,2.0,0.0,1.0,0.0,0.0,5.0,2.0,3.0,1.0,1.0,3.0,1.0,2.0,4.0,5.0,0.0,396.0,9.0,46.0,154.0,200.0,39.0,396.0,274.0,37.0,23.0,10.0,310.0,17.0,13.0,0.0,7.0,13.0,3.0,0.0,0.0,0.0,41.0,4.0,4.0,50.0
+Martin Satriano,uy URU,FW,Empoli,21-355,2001,19.0,16.0,1233.0,1.0,1.0,0.0,0.0,3.0,0.0,0.07,0.07,0.15,0.07,0.15,2.9,2.9,0.21,0.21,13.7,8.0,0.0,27.6,0.58,0.03,0.13,0.1,-1.9,-1.9,193.0,281.0,68.7,2611.0,501.0,107.0,139.0,77.0,61.0,89.0,68.5,8.0,17.0,47.1,10.0,13.0,7.0,1.0,18.0,272.0,8.0,0.0,1.0,1.0,13.0,0.0,0.0,0.0,0.0,6.0,1.0,7.0,23.0,1.68,17.0,0.0,2.0,3.0,3.0,0.22,2.0,0.0,1.0,0.0,0.0,10.0,6.0,3.0,6.0,1.0,5.0,0.0,5.0,2.0,13.0,0.0,439.0,11.0,46.0,197.0,205.0,51.0,439.0,246.0,22.0,19.0,8.0,337.0,38.0,31.0,0.0,14.0,21.0,4.0,0.0,0.0,0.0,40.0,32.0,34.0,48.5
+"Giorgio Scalvini,it ITA,""DF,MF"",Atalanta,19-061,2003,17.0,14.0,1173.0,2.0,0.0,0.0,0.0,4.0,0.0,0.15,0.0,0.15,0.15,0.15,1.0,1.0,0.07,0.07,13.0,4.0,0.0,40.0,0.31,0.2,0.5,0.1,1.0,1.0,590.0,738.0,79.9,9867.0,4373.0,298.0,337.0,88.4,226.0,260.0,86.9,53.0,107.0,49.5,3.0,68.0,9.0,2.0,83.0,719.0,17.0,14.0,1.0,14.0,6.0,0.0,0.0,0.0,0.0,3.0,2.0,10.0,17.0,1.3,15.0,0.0,0.0,0.0,3.0,0.23,3.0,0.0,0.0,0.0,0.0,34.0,19.0,18.0,10.0,6.0,18.0,7.0,11.0,24.0,26.0,1.0,873.0,59.0,315.0,440.0,127.0,13.0,873.0,468.0,12.0,11.0,3.0,560.0,7.0,2.0,0.0,31.0,3.0,3.0,0.0,0.0,0.0,93.0,21.0,12.0,63.6"
+Jerdy Schouten,nl NED,MF,Bologna,26-029,1997,17.0,13.0,1158.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.08,0.08,0.0,0.08,0.2,0.2,0.01,0.01,12.9,1.0,0.0,25.0,0.08,0.0,0.0,0.04,-0.2,-0.2,483.0,584.0,82.7,7835.0,2385.0,242.0,276.0,87.7,191.0,229.0,83.4,38.0,51.0,74.5,7.0,49.0,4.0,0.0,62.0,581.0,2.0,2.0,2.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,23.0,1.79,21.0,0.0,1.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,27.0,15.0,12.0,13.0,2.0,26.0,12.0,14.0,22.0,27.0,1.0,738.0,47.0,211.0,458.0,78.0,5.0,738.0,386.0,5.0,6.0,0.0,448.0,24.0,10.0,0.0,14.0,15.0,1.0,0.0,0.0,1.0,105.0,11.0,12.0,47.8
+Perr Schuurs,nl NED,DF,Torino,23-076,1999,15.0,14.0,1110.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.16,0.16,0.0,0.16,0.4,0.4,0.03,0.03,12.3,1.0,1.0,16.7,0.08,0.0,0.0,0.06,-0.4,-0.4,453.0,528.0,85.8,9007.0,2762.0,131.0,148.0,88.5,274.0,297.0,92.3,43.0,66.0,65.2,4.0,13.0,0.0,0.0,23.0,513.0,15.0,13.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,8.0,0.65,6.0,0.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,26.0,14.0,14.0,9.0,3.0,9.0,5.0,4.0,17.0,46.0,0.0,663.0,67.0,336.0,306.0,31.0,6.0,663.0,301.0,5.0,6.0,0.0,339.0,11.0,6.0,0.0,20.0,2.0,0.0,0.0,0.0,0.0,78.0,32.0,28.0,53.3
+"Demba Seck,sn SEN,""FW,MF"",Torino,22-000,2001,10.0,5.0,361.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,4.0,2.0,0.0,28.6,0.5,0.0,0.0,0.05,-0.3,-0.3,81.0,110.0,73.6,1119.0,211.0,52.0,57.0,91.2,26.0,35.0,74.3,2.0,5.0,40.0,5.0,6.0,2.0,0.0,10.0,106.0,3.0,0.0,2.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,9.0,2.24,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,2.0,0.0,3.0,1.0,2.0,1.0,1.0,0.0,164.0,1.0,14.0,75.0,79.0,19.0,164.0,115.0,16.0,12.0,8.0,131.0,20.0,10.0,0.0,4.0,14.0,6.0,0.0,0.0,0.0,17.0,2.0,8.0,20.0"
+Jacopo Segre,it ITA,DF,Torino,25-358,1997,1.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,9.0,88.9,103.0,22.0,6.0,7.0,85.7,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,4.0,8.0,0.0,0.0,12.0,8.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
+Vivaldo Semedo,pt POR,FW,Udinese,18-013,2005,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Stefano Sensi,it ITA,MF,Monza,27-189,1995,14.0,12.0,966.0,2.0,0.0,0.0,0.0,5.0,0.0,0.19,0.0,0.19,0.19,0.19,0.7,0.7,0.06,0.06,10.7,6.0,2.0,46.2,0.56,0.15,0.33,0.05,1.3,1.3,683.0,797.0,85.7,12617.0,4325.0,305.0,334.0,91.3,283.0,310.0,91.3,83.0,120.0,69.2,17.0,84.0,12.0,1.0,93.0,731.0,64.0,37.0,2.0,13.0,35.0,26.0,8.0,13.0,0.0,1.0,2.0,8.0,37.0,3.45,21.0,12.0,1.0,2.0,4.0,0.37,3.0,0.0,0.0,1.0,0.0,37.0,24.0,22.0,12.0,3.0,12.0,2.0,10.0,13.0,3.0,0.0,911.0,16.0,185.0,551.0,182.0,4.0,911.0,567.0,17.0,18.0,1.0,687.0,19.0,10.0,0.0,12.0,32.0,0.0,1.0,0.0,0.0,70.0,7.0,5.0,58.3
+Luigi Sepe,it ITA,GK,Salernitana,31-278,1991,15.0,15.0,1350.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,373.0,552.0,67.6,9975.0,7472.0,66.0,66.0,100.0,188.0,189.0,99.5,117.0,291.0,40.2,0.0,6.0,0.0,0.0,0.0,370.0,178.0,44.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,591.0,522.0,591.0,0.0,0.0,0.0,591.0,289.0,0.0,0.0,0.0,226.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,24.0,3.0,0.0,100.0
+Leonardo Sernicola,it ITA,DF,Cremonese,25-195,1997,17.0,15.0,1355.0,1.0,1.0,0.0,0.0,5.0,0.0,0.07,0.07,0.13,0.07,0.13,1.0,1.0,0.06,0.06,15.1,4.0,0.0,22.2,0.27,0.06,0.25,0.05,0.0,0.0,360.0,559.0,64.4,6132.0,2598.0,177.0,214.0,82.7,131.0,216.0,60.6,40.0,91.0,44.0,15.0,32.0,17.0,12.0,40.0,438.0,117.0,3.0,2.0,5.0,72.0,11.0,0.0,10.0,0.0,103.0,4.0,12.0,40.0,2.66,29.0,5.0,3.0,3.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,30.0,20.0,16.0,8.0,6.0,12.0,2.0,10.0,24.0,29.0,0.0,721.0,25.0,187.0,281.0,264.0,19.0,721.0,340.0,38.0,23.0,2.0,356.0,17.0,13.0,0.0,27.0,25.0,3.0,0.0,0.0,0.0,81.0,18.0,12.0,60.0
+"Stephan El Shaarawy,it ITA,""DF,MF"",Roma,30-106,1992,15.0,4.0,619.0,3.0,0.0,0.0,0.0,1.0,0.0,0.44,0.0,0.44,0.44,0.44,2.7,2.7,0.4,0.4,6.9,8.0,0.0,53.3,1.16,0.2,0.38,0.18,0.3,0.3,300.0,363.0,82.6,4906.0,1388.0,157.0,169.0,92.9,115.0,140.0,82.1,21.0,32.0,65.6,11.0,15.0,9.0,1.0,27.0,306.0,57.0,6.0,2.0,6.0,9.0,1.0,1.0,0.0,0.0,50.0,0.0,12.0,27.0,3.93,18.0,4.0,1.0,0.0,2.0,0.29,1.0,0.0,0.0,0.0,0.0,7.0,3.0,3.0,4.0,0.0,5.0,1.0,4.0,10.0,7.0,0.0,457.0,10.0,101.0,188.0,175.0,30.0,457.0,264.0,24.0,15.0,10.0,286.0,13.0,2.0,0.0,10.0,6.0,3.0,0.0,0.0,0.0,33.0,4.0,7.0,36.4"
+Eldor Shomurodov,uz UZB,FW,Spezia,27-226,1995,1.0,1.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,10.0,90.0,104.0,38.0,7.0,7.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,3.0,8.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.4,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,16.0,1.0,2.0,10.0,4.0,0.0,16.0,3.0,2.0,0.0,0.0,8.0,3.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,2.0,0.0,5.0,0.0
+Eldor Shomurodov,uz UZB,FW,Roma,27-226,1995,6.0,1.0,119.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.45,0.45,1.3,3.0,0.0,50.0,2.27,0.0,0.0,0.1,-0.6,-0.6,25.0,33.0,75.8,371.0,69.0,15.0,19.0,78.9,9.0,11.0,81.8,1.0,1.0,100.0,0.0,0.0,1.0,0.0,4.0,31.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,53.0,1.0,4.0,16.0,34.0,11.0,53.0,34.0,3.0,4.0,2.0,43.0,4.0,5.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,2.0,2.0,2.0,50.0
+Marco Silvestri,it ITA,GK,Udinese,31-345,1991,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,473.0,615.0,76.9,12931.0,9627.0,88.0,88.0,100.0,240.0,242.0,99.2,141.0,280.0,50.4,0.0,7.0,0.0,0.0,0.0,407.0,207.0,43.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,0.29,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,1.0,663.0,586.0,663.0,0.0,0.0,0.0,663.0,325.0,0.0,0.0,0.0,271.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,22.0,3.0,0.0,100.0
+Giovanni Simeone,ar ARG,FW,Napoli,27-220,1995,12.0,0.0,180.0,3.0,0.0,0.0,0.0,1.0,0.0,1.5,0.0,1.5,1.5,1.5,0.6,0.6,0.28,0.28,2.0,4.0,0.0,80.0,2.0,0.6,0.75,0.11,2.4,2.4,41.0,58.0,70.7,602.0,143.0,20.0,27.0,74.1,13.0,19.0,68.4,3.0,3.0,100.0,3.0,3.0,1.0,0.0,7.0,57.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,2.5,5.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,4.0,5.0,3.0,0.0,0.0,0.0,1.0,2.0,0.0,104.0,2.0,11.0,40.0,54.0,12.0,104.0,67.0,7.0,6.0,1.0,79.0,12.0,7.0,0.0,4.0,4.0,1.0,0.0,0.0,0.0,7.0,3.0,10.0,23.1
+Wilfried Singo,ci CIV,DF,Torino,22-047,2000,15.0,10.0,981.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.09,0.09,0.0,0.09,0.9,0.9,0.08,0.08,10.9,2.0,0.0,15.4,0.18,0.0,0.0,0.07,-0.9,-0.9,421.0,567.0,74.3,7256.0,2225.0,191.0,228.0,83.8,185.0,250.0,74.0,35.0,61.0,57.4,9.0,24.0,12.0,4.0,38.0,452.0,109.0,12.0,1.0,3.0,23.0,0.0,0.0,0.0,0.0,97.0,6.0,4.0,17.0,1.56,11.0,0.0,5.0,0.0,3.0,0.28,2.0,0.0,1.0,0.0,0.0,13.0,9.0,9.0,2.0,2.0,8.0,0.0,8.0,6.0,21.0,0.0,676.0,25.0,155.0,309.0,218.0,26.0,676.0,341.0,25.0,15.0,5.0,402.0,14.0,10.0,0.0,19.0,15.0,0.0,0.0,0.0,0.0,54.0,22.0,11.0,66.7
+Leo Skiri Østigård,no NOR,DF,Napoli,23-074,1999,4.0,2.0,220.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,164.0,193.0,85.0,3434.0,1036.0,49.0,58.0,84.5,83.0,92.0,90.2,26.0,33.0,78.8,0.0,14.0,0.0,0.0,9.0,184.0,8.0,7.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,3.0,1.23,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,3.0,10.0,0.0,219.0,12.0,93.0,115.0,11.0,1.0,219.0,139.0,3.0,3.0,0.0,146.0,3.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,7.0,19.0,2.0,90.5
+Łukasz Skorupski,pl POL,GK,Bologna,31-281,1991,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,554.0,719.0,77.1,14838.0,10386.0,103.0,104.0,99.0,244.0,248.0,98.4,181.0,338.0,53.6,0.0,0.0,0.0,0.0,0.0,503.0,213.0,60.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.1,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,1.0,773.0,693.0,769.0,4.0,0.0,0.0,773.0,405.0,0.0,0.0,0.0,327.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,24.0,4.0,0.0,100.0
+Milan Škriniar,sk SVK,DF,Inter,27-364,1995,20.0,19.0,1679.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.04,0.04,18.7,2.0,0.0,25.0,0.11,0.0,0.0,0.09,-0.7,-0.7,1178.0,1291.0,91.2,21788.0,7046.0,421.0,452.0,93.1,647.0,677.0,95.6,91.0,129.0,70.5,5.0,67.0,3.0,1.0,73.0,1228.0,61.0,41.0,1.0,13.0,4.0,0.0,0.0,0.0,0.0,18.0,2.0,6.0,9.0,0.48,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,18.0,14.0,11.0,4.0,17.0,12.0,5.0,11.0,43.0,3.0,1431.0,139.0,693.0,662.0,82.0,11.0,1431.0,919.0,16.0,10.0,0.0,1053.0,13.0,3.0,1.0,33.0,14.0,1.0,0.0,0.0,1.0,106.0,17.0,17.0,50.0
+Chris Smalling,eng ENG,DF,Roma,33-080,1989,21.0,20.0,1863.0,3.0,0.0,0.0,0.0,4.0,0.0,0.14,0.0,0.14,0.14,0.14,1.2,1.2,0.06,0.06,20.7,3.0,0.0,25.0,0.14,0.25,1.0,0.1,1.8,1.8,718.0,826.0,86.9,13602.0,4558.0,218.0,239.0,91.2,432.0,472.0,91.5,61.0,95.0,64.2,2.0,21.0,3.0,0.0,27.0,805.0,19.0,18.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,6.0,0.29,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,10.0,8.0,7.0,0.0,27.0,19.0,8.0,33.0,93.0,0.0,1038.0,167.0,629.0,382.0,34.0,20.0,1038.0,525.0,4.0,6.0,0.0,622.0,7.0,2.0,0.0,12.0,12.0,0.0,0.0,0.0,0.0,86.0,35.0,16.0,68.6
+Ola Solbakken,no NOR,FW,Roma,24-156,1998,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Brandon Soppy,fr FRA,DF,Udinese,20-354,2002,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.0,1.0,0.0,50.0,1.0,0.0,0.0,0.04,-0.1,-0.1,22.0,32.0,68.8,322.0,140.0,13.0,14.0,92.9,7.0,10.0,70.0,1.0,6.0,16.7,2.0,2.0,1.0,0.0,4.0,29.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,4.0,4.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,4.0,0.0,4.0,1.0,1.0,0.0,48.0,2.0,8.0,19.0,21.0,3.0,48.0,33.0,4.0,4.0,0.0,27.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,1.0,0.0,6.0,1.0,0.0,100.0
+Brandon Soppy,fr FRA,DF,Atalanta,20-354,2002,10.0,7.0,523.0,0.0,3.0,0.0,0.0,2.0,0.0,0.0,0.52,0.52,0.0,0.52,0.2,0.2,0.04,0.04,5.8,1.0,0.0,20.0,0.17,0.0,0.0,0.04,-0.2,-0.2,191.0,247.0,77.3,2816.0,1210.0,106.0,118.0,89.8,70.0,95.0,73.7,9.0,18.0,50.0,8.0,19.0,7.0,2.0,27.0,196.0,51.0,0.0,1.0,0.0,12.0,0.0,0.0,0.0,0.0,51.0,0.0,8.0,17.0,2.91,13.0,0.0,0.0,3.0,6.0,1.03,5.0,0.0,0.0,1.0,0.0,6.0,3.0,2.0,4.0,0.0,8.0,0.0,8.0,2.0,7.0,0.0,321.0,8.0,76.0,146.0,104.0,16.0,321.0,178.0,20.0,10.0,5.0,185.0,13.0,7.0,0.0,14.0,15.0,1.0,1.0,0.0,0.0,43.0,2.0,2.0,50.0
+"Roberto Soriano,it ITA,""FW,MF"",Bologna,32-002,1991,20.0,11.0,1025.0,0.0,3.0,0.0,0.0,1.0,0.0,0.0,0.26,0.26,0.0,0.26,0.4,0.4,0.04,0.04,11.4,1.0,0.0,11.1,0.09,0.0,0.0,0.05,-0.4,-0.4,359.0,455.0,78.9,5206.0,1619.0,224.0,262.0,85.5,104.0,128.0,81.3,21.0,32.0,65.6,19.0,30.0,9.0,2.0,49.0,448.0,7.0,2.0,5.0,2.0,10.0,0.0,0.0,0.0,0.0,5.0,0.0,11.0,38.0,3.34,30.0,1.0,1.0,4.0,3.0,0.26,2.0,0.0,1.0,0.0,0.0,26.0,13.0,8.0,12.0,6.0,20.0,2.0,18.0,5.0,7.0,0.0,561.0,17.0,76.0,302.0,194.0,22.0,561.0,365.0,23.0,27.0,0.0,427.0,18.0,12.0,0.0,17.0,22.0,2.0,0.0,0.0,0.0,61.0,10.0,12.0,45.5"
+Joaquin Sosa,uy URU,DF,Bologna,21-031,2002,5.0,2.0,250.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.8,1.0,0.0,50.0,0.36,0.0,0.0,0.01,0.0,0.0,100.0,130.0,76.9,2255.0,891.0,25.0,32.0,78.1,53.0,59.0,89.8,20.0,34.0,58.8,0.0,6.0,0.0,0.0,3.0,123.0,7.0,7.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.36,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,2.0,1.0,1.0,2.0,14.0,0.0,155.0,16.0,90.0,66.0,0.0,0.0,155.0,93.0,3.0,0.0,0.0,100.0,1.0,0.0,0.0,6.0,5.0,0.0,0.0,1.0,0.0,12.0,5.0,4.0,55.6
+Riccardo Sottil,it ITA,FW,Fiorentina,23-252,1999,7.0,5.0,432.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.42,0.42,0.0,0.42,0.6,0.6,0.12,0.12,4.8,7.0,1.0,58.3,1.46,0.0,0.0,0.05,-0.6,-0.6,127.0,157.0,80.9,2249.0,411.0,56.0,63.0,88.9,57.0,72.0,79.2,13.0,16.0,81.3,10.0,8.0,4.0,1.0,18.0,155.0,2.0,1.0,1.0,1.0,20.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,26.0,5.42,21.0,0.0,2.0,2.0,2.0,0.42,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,206.0,0.0,8.0,43.0,159.0,25.0,206.0,174.0,35.0,23.0,11.0,178.0,13.0,6.0,0.0,3.0,11.0,3.0,0.0,0.0,0.0,21.0,2.0,2.0,50.0
+"Matìas Soulé,ar ARG,""MF,DF"",Juventus,19-301,2003,9.0,2.0,238.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.1,0.1,2.6,3.0,0.0,60.0,1.13,0.0,0.0,0.05,-0.3,-0.3,91.0,111.0,82.0,1524.0,306.0,53.0,58.0,91.4,24.0,31.0,77.4,13.0,18.0,72.2,7.0,5.0,2.0,1.0,8.0,99.0,12.0,1.0,0.0,3.0,6.0,2.0,2.0,0.0,0.0,9.0,0.0,3.0,15.0,5.67,8.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,1.0,2.0,3.0,0.0,3.0,2.0,1.0,0.0,148.0,1.0,22.0,61.0,66.0,8.0,148.0,94.0,9.0,6.0,3.0,104.0,8.0,4.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,13.0,2.0,8.0,20.0"
+Adama Soumaoro,fr FRA,DF,Bologna,30-237,1992,15.0,14.0,1232.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,13.7,1.0,0.0,50.0,0.07,0.0,0.0,0.16,-0.3,-0.3,579.0,633.0,91.5,10868.0,3763.0,206.0,218.0,94.5,324.0,344.0,94.2,43.0,53.0,81.1,1.0,19.0,1.0,0.0,29.0,595.0,32.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,4.0,6.0,0.44,6.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,15.0,9.0,6.0,7.0,2.0,10.0,7.0,3.0,14.0,50.0,1.0,739.0,90.0,396.0,323.0,20.0,7.0,739.0,416.0,6.0,3.0,0.0,479.0,5.0,0.0,1.0,16.0,7.0,0.0,0.0,0.0,0.0,57.0,20.0,10.0,66.7
+Leonardo Spinazzola,it ITA,DF,Roma,29-322,1993,13.0,9.0,807.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.11,0.11,0.0,0.11,0.3,0.3,0.03,0.03,9.0,2.0,0.0,50.0,0.22,0.0,0.0,0.07,-0.3,-0.3,344.0,447.0,77.0,6055.0,2035.0,155.0,175.0,88.6,154.0,193.0,79.8,29.0,57.0,50.9,8.0,14.0,13.0,4.0,28.0,351.0,96.0,7.0,2.0,8.0,22.0,0.0,0.0,0.0,0.0,89.0,0.0,10.0,23.0,2.57,16.0,2.0,0.0,3.0,2.0,0.22,1.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,1.0,1.0,10.0,3.0,7.0,4.0,13.0,0.0,536.0,21.0,146.0,240.0,156.0,22.0,536.0,302.0,45.0,22.0,11.0,320.0,15.0,5.0,0.0,7.0,7.0,0.0,0.0,0.0,0.0,47.0,5.0,6.0,45.5
+Marco Sportiello,it ITA,GK,Atalanta,30-276,1992,7.0,6.0,623.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,194.0,242.0,80.2,5332.0,3655.0,32.0,32.0,100.0,107.0,109.0,98.2,55.0,101.0,54.5,0.0,1.0,0.0,0.0,2.0,170.0,72.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,251.0,224.0,246.0,5.0,0.0,0.0,251.0,145.0,0.0,0.0,0.0,103.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,13.0,1.0,0.0,100.0
+Petar Stojanović,si SVN,DF,Empoli,27-126,1995,17.0,13.0,1144.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.2,0.2,0.01,0.01,12.7,1.0,1.0,20.0,0.08,0.0,0.0,0.03,-0.2,-0.2,547.0,703.0,77.8,8873.0,3679.0,303.0,346.0,87.6,188.0,237.0,79.3,49.0,89.0,55.1,10.0,36.0,12.0,5.0,59.0,553.0,149.0,13.0,2.0,15.0,20.0,1.0,0.0,1.0,0.0,135.0,1.0,18.0,26.0,2.04,16.0,5.0,1.0,2.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,33.0,17.0,20.0,9.0,4.0,14.0,3.0,11.0,9.0,51.0,0.0,848.0,51.0,298.0,355.0,201.0,7.0,848.0,436.0,28.0,17.0,2.0,465.0,9.0,12.0,0.0,8.0,13.0,0.0,0.0,0.0,0.0,65.0,2.0,6.0,25.0
+"Gabriel Strefezza,br BRA,""FW,MF"",Lecce,25-298,1997,19.0,17.0,1356.0,7.0,0.0,1.0,1.0,2.0,0.0,0.46,0.0,0.46,0.4,0.4,2.8,2.0,0.19,0.13,15.1,14.0,2.0,42.4,0.93,0.18,0.43,0.06,4.2,4.0,308.0,509.0,60.5,5646.0,1803.0,153.0,198.0,77.3,94.0,149.0,63.1,52.0,116.0,44.8,20.0,34.0,15.0,7.0,50.0,456.0,47.0,15.0,2.0,9.0,74.0,23.0,11.0,8.0,0.0,9.0,6.0,20.0,48.0,3.19,38.0,5.0,0.0,1.0,4.0,0.27,4.0,0.0,0.0,0.0,0.0,33.0,16.0,12.0,16.0,5.0,17.0,2.0,15.0,10.0,12.0,0.0,733.0,8.0,87.0,321.0,343.0,34.0,732.0,475.0,45.0,33.0,13.0,514.0,44.0,32.0,0.0,27.0,40.0,0.0,0.0,0.0,0.0,73.0,11.0,17.0,39.3"
+Dávid Strelec,sk SVK,FW,Spezia,21-312,2001,7.0,1.0,169.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.28,0.28,1.9,1.0,0.0,33.3,0.53,0.0,0.0,0.17,-0.5,-0.5,25.0,43.0,58.1,294.0,30.0,19.0,27.0,70.4,5.0,9.0,55.6,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,40.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,2.16,3.0,0.0,0.0,1.0,2.0,1.08,2.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,60.0,0.0,2.0,29.0,29.0,12.0,60.0,32.0,2.0,3.0,0.0,45.0,3.0,4.0,0.0,4.0,1.0,2.0,0.0,0.0,0.0,1.0,5.0,6.0,45.5
+Isaac Success,ng NGA,FW,Udinese,27-034,1996,21.0,14.0,1278.0,0.0,4.0,0.0,0.0,3.0,0.0,0.0,0.28,0.28,0.0,0.28,2.1,2.1,0.15,0.15,14.2,2.0,0.0,8.7,0.14,0.0,0.0,0.09,-2.1,-2.1,276.0,429.0,64.3,3964.0,772.0,158.0,222.0,71.2,66.0,101.0,65.3,26.0,41.0,63.4,17.0,16.0,12.0,1.0,36.0,415.0,7.0,0.0,7.0,7.0,9.0,0.0,0.0,0.0,0.0,0.0,7.0,14.0,52.0,3.67,36.0,0.0,1.0,12.0,6.0,0.42,5.0,0.0,0.0,1.0,0.0,7.0,3.0,2.0,4.0,1.0,8.0,2.0,6.0,3.0,14.0,0.0,609.0,16.0,37.0,253.0,321.0,73.0,609.0,417.0,21.0,15.0,8.0,547.0,63.0,32.0,0.0,26.0,58.0,8.0,0.0,0.0,0.0,32.0,29.0,34.0,46.0
+Ibrahim Sulemana,gh GHA,MF,Hellas Verona,19-264,2003,11.0,3.0,357.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,4.0,3.0,0.0,37.5,0.76,0.0,0.0,0.04,-0.3,-0.3,73.0,103.0,70.9,1357.0,488.0,31.0,36.0,86.1,31.0,39.0,79.5,9.0,16.0,56.3,3.0,14.0,1.0,1.0,11.0,103.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,9.0,2.26,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,6.0,4.0,1.0,3.0,2.0,1.0,7.0,8.0,0.0,166.0,13.0,50.0,91.0,31.0,6.0,166.0,82.0,3.0,4.0,0.0,72.0,6.0,5.0,0.0,7.0,3.0,1.0,0.0,0.0,0.0,31.0,6.0,8.0,42.9
+Wojciech Szczęsny,pl POL,GK,Juventus,32-298,1990,15.0,15.0,1302.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,317.0,413.0,76.8,9409.0,6585.0,39.0,39.0,100.0,156.0,157.0,99.4,122.0,214.0,57.0,0.0,3.0,0.0,0.0,0.0,314.0,98.0,26.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,434.0,381.0,432.0,2.0,0.0,0.0,434.0,258.0,0.0,0.0,0.0,225.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,2.0,0.0,100.0
+Benjamin Tahirovic,se SWE,MF,Roma,19-344,2003,5.0,1.0,136.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,65.0,87.7,1078.0,184.0,23.0,25.0,92.0,24.0,27.0,88.9,9.0,10.0,90.0,3.0,3.0,1.0,1.0,1.0,64.0,1.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,2.67,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,4.0,0.0,4.0,2.0,1.0,0.0,80.0,3.0,19.0,48.0,14.0,1.0,80.0,43.0,0.0,1.0,0.0,50.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,9.0,2.0,1.0,66.7
+Adrien Tameze,cm CMR,MF,Hellas Verona,29-006,1994,20.0,18.0,1562.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.04,0.04,17.4,1.0,0.0,14.3,0.06,0.0,0.0,0.1,-0.7,-0.7,394.0,530.0,74.3,6981.0,2139.0,173.0,221.0,78.3,171.0,209.0,81.8,41.0,69.0,59.4,12.0,44.0,8.0,0.0,61.0,502.0,24.0,17.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,2.0,4.0,8.0,25.0,1.44,21.0,1.0,0.0,2.0,3.0,0.17,3.0,0.0,0.0,0.0,0.0,26.0,13.0,13.0,10.0,3.0,32.0,11.0,21.0,20.0,33.0,2.0,725.0,56.0,193.0,398.0,144.0,16.0,725.0,334.0,13.0,23.0,3.0,367.0,20.0,19.0,0.0,18.0,16.0,1.0,0.0,0.0,0.0,103.0,17.0,18.0,48.6
+Ciprian Tătărușanu,ro ROU,GK,Milan,37-001,1986,14.0,14.0,1260.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.07,0.07,0.0,0.07,0.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,384.0,488.0,78.7,11114.0,7906.0,53.0,53.0,100.0,178.0,183.0,97.3,151.0,247.0,61.1,2.0,8.0,0.0,0.0,0.0,397.0,88.0,23.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,7.0,0.5,5.0,2.0,0.0,0.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,512.0,441.0,512.0,0.0,0.0,0.0,512.0,327.0,0.0,0.0,0.0,286.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,19.0,1.0,1.0,50.0
+"Filippo Terracciano,it ITA,""DF,MF"",Hellas Verona,20-002,2003,12.0,4.0,521.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.8,2.0,0.0,66.7,0.35,0.0,0.0,0.03,-0.1,-0.1,143.0,208.0,68.8,2593.0,922.0,54.0,73.0,74.0,67.0,89.0,75.3,14.0,28.0,50.0,5.0,11.0,6.0,2.0,24.0,181.0,27.0,6.0,0.0,3.0,16.0,2.0,1.0,1.0,0.0,19.0,0.0,7.0,8.0,1.38,5.0,1.0,1.0,0.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,10.0,7.0,4.0,4.0,2.0,4.0,3.0,1.0,6.0,9.0,0.0,268.0,13.0,62.0,130.0,78.0,7.0,268.0,128.0,11.0,8.0,0.0,145.0,11.0,3.0,0.0,4.0,12.0,0.0,0.0,0.0,0.0,27.0,13.0,15.0,46.4"
+Pietro Terracciano,it ITA,GK,Fiorentina,32-339,1990,18.0,18.0,1620.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,497.0,655.0,75.9,13993.0,9502.0,93.0,93.0,100.0,214.0,219.0,97.7,188.0,337.0,55.8,0.0,8.0,0.0,0.0,0.0,479.0,173.0,57.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,692.0,534.0,683.0,9.0,0.0,0.0,692.0,355.0,0.0,0.0,0.0,364.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,31.0,5.0,0.0,100.0
+Aleksa Terzić,rs SRB,DF,Fiorentina,23-177,1999,11.0,2.0,329.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,3.7,1.0,0.0,20.0,0.27,0.0,0.0,0.04,-0.2,-0.2,256.0,308.0,83.1,4801.0,1441.0,97.0,104.0,93.3,123.0,145.0,84.8,28.0,44.0,63.6,11.0,17.0,13.0,11.0,21.0,254.0,53.0,5.0,0.0,0.0,30.0,4.0,0.0,3.0,0.0,44.0,1.0,6.0,19.0,5.18,13.0,4.0,1.0,0.0,2.0,0.55,0.0,1.0,1.0,0.0,0.0,8.0,4.0,5.0,2.0,1.0,7.0,3.0,4.0,4.0,5.0,0.0,351.0,10.0,87.0,152.0,114.0,3.0,351.0,225.0,16.0,13.0,1.0,233.0,9.0,4.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,17.0,2.0,5.0,28.6
+"Florian Thauvin,fr FRA,""MF,DF"",Udinese,30-015,1993,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,11.0,18.2,49.0,35.0,0.0,1.0,0.0,2.0,5.0,40.0,0.0,3.0,0.0,0.0,1.0,1.0,0.0,2.0,8.0,3.0,1.0,0.0,0.0,5.0,2.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,4.74,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,13.0,1.0,1.0,4.0,9.0,2.0,13.0,8.0,1.0,1.0,0.0,8.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0"
+Malick Thiaw,de GER,DF,Milan,21-186,2001,5.0,2.0,144.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,1.6,1.0,0.0,100.0,0.62,0.0,0.0,0.07,-0.1,-0.1,97.0,117.0,82.9,2056.0,550.0,24.0,28.0,85.7,63.0,69.0,91.3,10.0,17.0,58.8,1.0,8.0,1.0,0.0,9.0,115.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.62,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,3.0,3.0,0.0,1.0,9.0,1.0,136.0,16.0,74.0,60.0,2.0,1.0,136.0,80.0,0.0,0.0,0.0,87.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,11.0,3.0,78.6
+Kristian Thorstvedt,no NOR,MF,Sassuolo,23-334,1999,19.0,11.0,879.0,1.0,1.0,0.0,0.0,4.0,0.0,0.1,0.1,0.2,0.1,0.2,1.6,1.6,0.17,0.17,9.8,6.0,0.0,42.9,0.61,0.07,0.17,0.12,-0.6,-0.6,267.0,350.0,76.3,3893.0,1220.0,152.0,185.0,82.2,88.0,110.0,80.0,13.0,23.0,56.5,7.0,35.0,5.0,1.0,40.0,340.0,10.0,5.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,5.0,0.0,12.0,19.0,1.94,13.0,0.0,3.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,12.0,6.0,4.0,6.0,2.0,11.0,1.0,10.0,10.0,12.0,0.0,447.0,16.0,67.0,260.0,127.0,24.0,447.0,239.0,25.0,11.0,5.0,326.0,14.0,8.0,0.0,15.0,19.0,0.0,0.0,0.0,0.0,40.0,23.0,15.0,60.5
+Jeremy Toljan,de GER,DF,Sassuolo,28-186,1994,19.0,18.0,1679.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.05,0.05,0.0,0.05,0.4,0.4,0.02,0.02,18.7,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.4,-0.4,844.0,1003.0,84.1,13931.0,5087.0,421.0,468.0,90.0,334.0,379.0,88.1,71.0,106.0,67.0,19.0,75.0,18.0,5.0,94.0,807.0,196.0,20.0,2.0,6.0,13.0,0.0,0.0,0.0,0.0,176.0,0.0,22.0,34.0,1.82,33.0,1.0,0.0,0.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,24.0,17.0,13.0,10.0,1.0,19.0,7.0,12.0,13.0,31.0,1.0,1130.0,42.0,402.0,541.0,195.0,16.0,1130.0,586.0,31.0,21.0,2.0,679.0,17.0,6.0,0.0,5.0,8.0,0.0,0.0,1.0,0.0,90.0,4.0,8.0,33.3
+Rafael Tolói,it ITA,DF,Atalanta,32-123,1990,16.0,16.0,1358.0,1.0,1.0,0.0,0.0,3.0,0.0,0.07,0.07,0.13,0.07,0.13,1.7,1.7,0.11,0.11,15.1,4.0,0.0,33.3,0.27,0.08,0.25,0.14,-0.7,-0.7,603.0,774.0,77.9,11422.0,4314.0,256.0,287.0,89.2,270.0,320.0,84.4,73.0,142.0,51.4,14.0,66.0,7.0,2.0,69.0,743.0,28.0,10.0,2.0,7.0,12.0,0.0,0.0,0.0,0.0,17.0,3.0,12.0,27.0,1.79,23.0,0.0,2.0,0.0,6.0,0.4,5.0,0.0,1.0,0.0,0.0,29.0,20.0,17.0,12.0,0.0,21.0,11.0,10.0,37.0,42.0,0.0,947.0,80.0,410.0,419.0,127.0,20.0,947.0,496.0,11.0,22.0,0.0,574.0,10.0,2.0,0.0,9.0,8.0,1.0,0.0,0.0,0.0,115.0,19.0,15.0,55.9
+Fikayo Tomori,eng ENG,DF,Milan,25-053,1997,19.0,18.0,1577.0,1.0,0.0,0.0,0.0,2.0,0.0,0.06,0.0,0.06,0.06,0.06,1.1,1.1,0.06,0.06,17.5,3.0,0.0,50.0,0.17,0.17,0.33,0.19,-0.1,-0.1,910.0,1038.0,87.7,18958.0,5834.0,287.0,309.0,92.9,467.0,504.0,92.7,150.0,198.0,75.8,3.0,49.0,3.0,0.0,64.0,942.0,91.0,31.0,0.0,12.0,3.0,0.0,0.0,0.0,0.0,10.0,5.0,12.0,14.0,0.8,11.0,1.0,0.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,45.0,22.0,29.0,16.0,0.0,23.0,12.0,11.0,17.0,45.0,0.0,1202.0,145.0,600.0,573.0,37.0,8.0,1202.0,654.0,17.0,6.0,0.0,735.0,7.0,2.0,0.0,15.0,17.0,0.0,0.0,0.0,0.0,105.0,36.0,21.0,63.2
+Sandro Tonali,it ITA,MF,Milan,22-278,2000,18.0,16.0,1475.0,2.0,4.0,0.0,0.0,6.0,0.0,0.12,0.24,0.37,0.12,0.37,1.8,1.8,0.11,0.11,16.4,10.0,4.0,45.5,0.61,0.09,0.2,0.08,0.2,0.2,493.0,695.0,70.9,9194.0,3146.0,200.0,249.0,80.3,203.0,256.0,79.3,72.0,144.0,50.0,33.0,63.0,18.0,4.0,67.0,599.0,88.0,45.0,5.0,5.0,56.0,30.0,9.0,17.0,0.0,11.0,8.0,13.0,57.0,3.47,32.0,14.0,5.0,2.0,8.0,0.49,4.0,2.0,1.0,0.0,0.0,31.0,20.0,17.0,11.0,3.0,13.0,5.0,8.0,19.0,9.0,1.0,842.0,22.0,176.0,436.0,242.0,17.0,842.0,416.0,35.0,17.0,1.0,498.0,24.0,7.0,0.0,18.0,16.0,3.0,0.0,0.0,0.0,98.0,8.0,11.0,42.1
+William Troost-Ekong,ng NGA,DF,Salernitana,29-162,1993,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,73.0,86.0,84.9,1519.0,538.0,16.0,17.0,94.1,48.0,53.0,90.6,7.0,13.0,53.8,0.0,1.0,1.0,1.0,4.0,84.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.5,1.0,0.0,0.0,0.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,6.0,2.0,5.0,1.0,0.0,2.0,1.0,1.0,2.0,3.0,0.0,100.0,12.0,52.0,48.0,1.0,0.0,100.0,67.0,0.0,0.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,3.0,50.0
+"Frank Tsadjout,it ITA,""FW,MF"",Cremonese,23-197,1999,7.0,2.0,216.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.42,0.42,0.0,0.42,0.5,0.5,0.21,0.21,2.4,4.0,0.0,66.7,1.67,0.0,0.0,0.08,-0.5,-0.5,37.0,57.0,64.9,423.0,71.0,26.0,41.0,63.4,9.0,12.0,75.0,0.0,0.0,0.0,3.0,3.0,0.0,0.0,2.0,56.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.26,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,3.0,0.0,2.0,0.0,2.0,3.0,1.0,0.0,91.0,2.0,9.0,39.0,43.0,8.0,91.0,41.0,0.0,1.0,0.0,55.0,7.0,5.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,14.0,11.0,10.0,52.4"
+Alessandro Tuia,it ITA,DF,Lecce,32-247,1990,3.0,2.0,199.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.2,1.0,0.0,50.0,0.45,0.0,0.0,0.05,-0.1,-0.1,62.0,87.0,71.3,1388.0,460.0,14.0,18.0,77.8,36.0,42.0,85.7,11.0,26.0,42.3,0.0,6.0,0.0,0.0,8.0,81.0,6.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.81,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,5.0,6.0,0.0,103.0,10.0,53.0,48.0,3.0,2.0,103.0,47.0,1.0,1.0,0.0,57.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,12.0,1.0,5.0,16.7
+Iyenoma Udogie,it ITA,DF,Udinese,20-074,2002,17.0,17.0,1463.0,2.0,2.0,0.0,0.0,4.0,0.0,0.12,0.12,0.25,0.12,0.25,2.0,2.0,0.12,0.12,16.3,4.0,0.0,23.5,0.25,0.12,0.5,0.12,0.0,0.0,509.0,620.0,82.1,7445.0,2678.0,296.0,339.0,87.3,178.0,212.0,84.0,21.0,26.0,80.8,23.0,37.0,22.0,2.0,63.0,524.0,95.0,11.0,1.0,1.0,15.0,2.0,0.0,0.0,0.0,82.0,1.0,20.0,55.0,3.38,39.0,4.0,2.0,6.0,5.0,0.31,5.0,0.0,0.0,0.0,0.0,44.0,26.0,29.0,11.0,4.0,20.0,5.0,15.0,20.0,10.0,0.0,840.0,29.0,187.0,331.0,340.0,54.0,840.0,497.0,58.0,44.0,20.0,501.0,39.0,19.0,0.0,25.0,31.0,3.0,0.0,1.0,0.0,95.0,8.0,11.0,42.1
+Samuel Umtiti,fr FRA,DF,Lecce,29-088,1993,11.0,10.0,853.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,9.5,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.3,-0.3,296.0,355.0,83.4,5721.0,1968.0,110.0,128.0,85.9,133.0,142.0,93.7,46.0,72.0,63.9,1.0,23.0,3.0,1.0,20.0,333.0,21.0,21.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,4.0,0.42,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,12.0,9.0,13.0,0.0,11.0,7.0,4.0,12.0,32.0,0.0,462.0,46.0,226.0,229.0,11.0,3.0,462.0,223.0,7.0,4.0,0.0,225.0,3.0,3.0,0.0,12.0,15.0,0.0,0.0,0.0,0.0,66.0,15.0,17.0,46.9
+"Diego Valencia,cl CHI,""MF,FW"",Salernitana,23-027,2000,10.0,0.0,175.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.9,1.0,0.0,100.0,0.51,0.0,0.0,0.12,-0.1,-0.1,42.0,58.0,72.4,613.0,159.0,29.0,34.0,85.3,7.0,13.0,53.8,4.0,4.0,100.0,2.0,1.0,1.0,1.0,3.0,52.0,6.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,1.0,1.0,6.0,0.0,6.0,1.0,2.0,0.0,84.0,3.0,21.0,35.0,30.0,3.0,84.0,43.0,1.0,0.0,0.0,47.0,6.0,3.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,8.0,2.0,3.0,40.0"
+"Emanuele Valeri,it ITA,""DF,FW"",Cremonese,24-065,1998,20.0,18.0,1490.0,1.0,1.0,0.0,0.0,2.0,0.0,0.06,0.06,0.12,0.06,0.12,1.2,1.2,0.07,0.07,16.6,3.0,2.0,13.0,0.18,0.04,0.33,0.05,-0.2,-0.2,349.0,615.0,56.7,6455.0,3137.0,150.0,189.0,79.4,141.0,241.0,58.5,46.0,124.0,37.1,24.0,33.0,30.0,16.0,49.0,445.0,162.0,13.0,2.0,9.0,79.0,11.0,0.0,11.0,0.0,138.0,8.0,27.0,45.0,2.72,28.0,10.0,0.0,5.0,2.0,0.12,1.0,1.0,0.0,0.0,0.0,29.0,12.0,16.0,12.0,1.0,6.0,2.0,4.0,12.0,27.0,0.0,798.0,38.0,202.0,292.0,325.0,35.0,798.0,369.0,59.0,32.0,9.0,383.0,30.0,13.0,0.0,17.0,19.0,2.0,0.0,0.0,0.0,100.0,9.0,17.0,34.6"
+Mattia Valoti,it ITA,MF,Monza,29-157,1993,7.0,2.0,244.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,72.0,90.0,80.0,1100.0,275.0,36.0,40.0,90.0,25.0,32.0,78.1,6.0,9.0,66.7,2.0,12.0,0.0,0.0,10.0,88.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,1.48,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,3.0,5.0,1.0,5.0,1.0,4.0,2.0,3.0,0.0,119.0,2.0,30.0,71.0,20.0,3.0,119.0,58.0,3.0,2.0,0.0,81.0,6.0,1.0,0.0,8.0,6.0,0.0,0.0,0.0,0.0,12.0,8.0,4.0,66.7
+Johan Vásquez,mx MEX,DF,Cremonese,24-111,1998,10.0,6.0,628.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.3,-0.3,204.0,278.0,73.4,3454.0,1213.0,89.0,110.0,80.9,102.0,121.0,84.3,10.0,35.0,28.6,1.0,13.0,0.0,0.0,16.0,243.0,34.0,16.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,17.0,1.0,4.0,6.0,0.86,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,10.0,1.0,0.0,14.0,10.0,4.0,17.0,32.0,1.0,368.0,58.0,197.0,144.0,31.0,9.0,368.0,159.0,6.0,4.0,0.0,172.0,5.0,3.0,0.0,12.0,9.0,0.0,0.0,0.0,0.0,40.0,12.0,19.0,38.7
+Matías Vecino,uy URU,MF,Lazio,31-170,1991,19.0,9.0,938.0,1.0,0.0,0.0,0.0,2.0,0.0,0.1,0.0,0.1,0.1,0.1,1.9,1.9,0.18,0.18,10.4,3.0,0.0,20.0,0.29,0.07,0.33,0.13,-0.9,-0.9,431.0,516.0,83.5,6367.0,1781.0,246.0,273.0,90.1,145.0,169.0,85.8,25.0,44.0,56.8,3.0,42.0,6.0,0.0,50.0,514.0,1.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,16.0,1.53,15.0,0.0,0.0,0.0,2.0,0.19,2.0,0.0,0.0,0.0,0.0,22.0,13.0,6.0,9.0,7.0,14.0,3.0,11.0,8.0,19.0,0.0,618.0,31.0,150.0,363.0,112.0,15.0,618.0,337.0,15.0,9.0,1.0,449.0,15.0,2.0,0.0,16.0,9.0,2.0,0.0,0.0,0.0,61.0,14.0,14.0,50.0
+Miguel Veloso,pt POR,MF,Hellas Verona,36-275,1986,15.0,10.0,845.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,9.4,2.0,2.0,15.4,0.21,0.0,0.0,0.03,-0.4,-0.4,313.0,436.0,71.8,6308.0,2454.0,119.0,138.0,86.2,135.0,162.0,83.3,53.0,112.0,47.3,12.0,34.0,6.0,3.0,63.0,375.0,59.0,33.0,1.0,3.0,45.0,20.0,12.0,6.0,1.0,4.0,2.0,10.0,26.0,2.77,15.0,7.0,4.0,0.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,20.0,4.0,14.0,5.0,1.0,20.0,5.0,15.0,4.0,9.0,0.0,527.0,26.0,126.0,280.0,130.0,7.0,527.0,217.0,12.0,8.0,1.0,240.0,5.0,3.0,0.0,12.0,7.0,0.0,0.0,0.0,1.0,85.0,7.0,10.0,41.2
+Lorenzo Venuti,it ITA,DF,Fiorentina,27-304,1995,9.0,5.0,556.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.16,0.16,0.0,0.16,0.3,0.3,0.05,0.05,6.2,4.0,0.0,100.0,0.65,0.0,0.0,0.07,-0.3,-0.3,325.0,390.0,83.3,6024.0,1904.0,143.0,150.0,95.3,143.0,163.0,87.7,39.0,67.0,58.2,6.0,27.0,8.0,3.0,33.0,325.0,64.0,9.0,0.0,0.0,21.0,3.0,0.0,2.0,0.0,52.0,1.0,8.0,15.0,2.43,10.0,3.0,1.0,0.0,2.0,0.32,1.0,1.0,0.0,0.0,0.0,13.0,5.0,6.0,6.0,1.0,2.0,2.0,0.0,4.0,13.0,2.0,445.0,20.0,140.0,218.0,90.0,5.0,445.0,248.0,15.0,11.0,0.0,292.0,8.0,0.0,0.0,3.0,6.0,0.0,0.0,0.0,0.0,28.0,8.0,4.0,66.7
+"Daniele Verde,it ITA,""FW,MF"",Spezia,26-235,1996,11.0,4.0,425.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.15,0.15,4.7,3.0,0.0,23.1,0.64,0.0,0.0,0.06,-0.7,-0.7,98.0,162.0,60.5,1595.0,517.0,49.0,69.0,71.0,40.0,58.0,69.0,8.0,28.0,28.6,7.0,4.0,3.0,0.0,12.0,120.0,41.0,9.0,0.0,1.0,27.0,20.0,9.0,10.0,0.0,5.0,1.0,2.0,19.0,4.02,11.0,5.0,0.0,1.0,1.0,0.21,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,4.0,2.0,0.0,202.0,6.0,24.0,84.0,96.0,8.0,202.0,110.0,7.0,3.0,2.0,117.0,6.0,6.0,0.0,2.0,9.0,1.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0"
+Simone Verdi,it ITA,MF,Hellas Verona,30-213,1992,10.0,5.0,496.0,1.0,0.0,0.0,0.0,1.0,0.0,0.18,0.0,0.18,0.18,0.18,0.8,0.8,0.15,0.15,5.5,3.0,2.0,25.0,0.54,0.08,0.33,0.07,0.2,0.2,127.0,206.0,61.7,2319.0,871.0,67.0,86.0,77.9,34.0,51.0,66.7,20.0,44.0,45.5,9.0,20.0,5.0,2.0,21.0,166.0,37.0,7.0,3.0,7.0,40.0,19.0,10.0,7.0,0.0,4.0,3.0,15.0,20.0,3.65,12.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,6.0,5.0,3.0,2.0,4.0,0.0,4.0,0.0,1.0,0.0,282.0,1.0,28.0,134.0,127.0,8.0,282.0,159.0,20.0,11.0,1.0,171.0,17.0,18.0,0.0,6.0,9.0,1.0,0.0,0.0,0.0,40.0,3.0,5.0,37.5
+Valerio Verre,it ITA,MF,Sampdoria,29-030,1994,18.0,6.0,677.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.08,0.08,7.5,3.0,0.0,21.4,0.4,0.0,0.0,0.04,-0.6,-0.6,282.0,398.0,70.9,5116.0,1682.0,136.0,161.0,84.5,99.0,135.0,73.3,41.0,74.0,55.4,13.0,30.0,14.0,4.0,45.0,361.0,33.0,16.0,3.0,2.0,33.0,9.0,2.0,6.0,0.0,4.0,4.0,15.0,30.0,3.98,22.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,6.0,5.0,3.0,9.0,1.0,8.0,9.0,3.0,0.0,493.0,8.0,64.0,285.0,153.0,16.0,493.0,284.0,16.0,13.0,6.0,330.0,22.0,20.0,0.0,14.0,13.0,2.0,0.0,0.0,0.0,61.0,12.0,12.0,50.0
+Guglielmo Vicario,it ITA,GK,Empoli,26-126,1996,21.0,21.0,1890.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,644.0,875.0,73.6,17534.0,12258.0,109.0,110.0,99.1,329.0,336.0,97.9,205.0,427.0,48.0,0.0,16.0,0.0,0.0,0.0,693.0,181.0,73.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,0.24,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,2.0,934.0,770.0,933.0,1.0,0.0,0.0,934.0,577.0,0.0,0.0,0.0,509.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,19.0,6.0,1.0,85.7
+Ronaldo Vieira,gw GNB,MF,Torino,24-206,1998,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Ronaldo Vieira,gw GNB,MF,Sampdoria,24-206,1998,16.0,8.0,815.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.1,1.0,0.0,16.7,0.11,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Emanuel Vignato,it ITA,""MF,FW"",Bologna,22-170,2000,8.0,2.0,242.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.37,0.37,0.0,0.37,0.1,0.1,0.03,0.03,2.7,1.0,0.0,100.0,0.37,0.0,0.0,0.09,-0.1,-0.1,79.0,99.0,79.8,1201.0,338.0,40.0,48.0,83.3,29.0,34.0,85.3,5.0,8.0,62.5,3.0,9.0,2.0,1.0,9.0,97.0,2.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,0.0,1.0,0.0,2.0,5.0,1.86,5.0,0.0,0.0,0.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,4.0,4.0,2.0,2.0,0.0,2.0,0.0,2.0,3.0,0.0,0.0,116.0,0.0,23.0,57.0,37.0,2.0,116.0,76.0,3.0,3.0,0.0,89.0,2.0,4.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,10.0,2.0,2.0,50.0"
+"Samuele Vignato,it ITA,""FW,MF"",Monza,18-351,2004,3.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,13.0,84.6,163.0,15.0,5.0,5.0,100.0,4.0,5.0,80.0,1.0,1.0,100.0,0.0,0.0,1.0,1.0,0.0,13.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,8.0,8.0,3.0,16.0,11.0,1.0,0.0,0.0,14.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0"
+Tonny Vilhena,nl NED,MF,Salernitana,28-038,1995,20.0,17.0,1410.0,3.0,1.0,0.0,0.0,4.0,0.0,0.19,0.06,0.26,0.19,0.26,2.2,2.2,0.14,0.14,15.7,7.0,1.0,28.0,0.45,0.12,0.43,0.09,0.8,0.8,406.0,536.0,75.7,6420.0,1960.0,213.0,245.0,86.9,137.0,161.0,85.1,33.0,73.0,45.2,12.0,38.0,8.0,5.0,55.0,484.0,49.0,18.0,0.0,8.0,36.0,23.0,3.0,13.0,0.0,8.0,3.0,14.0,34.0,2.17,22.0,7.0,0.0,3.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,31.0,17.0,8.0,20.0,3.0,10.0,4.0,6.0,8.0,10.0,0.0,687.0,16.0,111.0,377.0,211.0,18.0,687.0,380.0,21.0,27.0,3.0,438.0,26.0,21.0,0.0,17.0,23.0,1.0,0.0,1.0,0.0,82.0,6.0,18.0,25.0
+Gonzalo Villar,es ESP,MF,Sampdoria,24-324,1998,15.0,8.0,696.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,317.0,381.0,83.2,5395.0,1357.0,136.0,162.0,84.0,145.0,165.0,87.9,27.0,41.0,65.9,0.0,25.0,1.0,0.0,26.0,345.0,35.0,31.0,0.0,0.0,7.0,3.0,1.0,2.0,0.0,0.0,1.0,1.0,9.0,1.17,7.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,7.0,4.0,8.0,1.0,11.0,3.0,8.0,4.0,9.0,1.0,453.0,19.0,102.0,288.0,65.0,1.0,453.0,246.0,9.0,6.0,0.0,274.0,10.0,4.0,0.0,17.0,18.0,0.0,0.0,1.0,0.0,55.0,9.0,5.0,64.3
+Matías Viña,uy URU,DF,Roma,25-093,1997,3.0,1.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,30.0,73.3,392.0,68.0,8.0,10.0,80.0,11.0,16.0,68.8,2.0,3.0,66.7,1.0,3.0,0.0,0.0,2.0,20.0,10.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,4.0,6.55,3.0,0.0,0.0,0.0,1.0,1.64,1.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,2.0,1.0,5.0,1.0,4.0,2.0,5.0,0.0,50.0,3.0,17.0,19.0,14.0,1.0,50.0,19.0,2.0,1.0,1.0,14.0,3.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
+Dušan Vlahović,rs SRB,FW,Juventus,23-013,2000,12.0,11.0,953.0,8.0,2.0,2.0,2.0,0.0,0.0,0.76,0.19,0.94,0.57,0.76,5.6,4.0,0.52,0.38,10.6,12.0,3.0,34.3,1.13,0.17,0.5,0.11,2.4,2.0,140.0,197.0,71.1,2347.0,437.0,67.0,86.0,77.9,55.0,69.0,79.7,11.0,17.0,64.7,14.0,15.0,8.0,1.0,26.0,183.0,13.0,1.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,10.0,28.0,2.64,17.0,0.0,5.0,3.0,3.0,0.28,1.0,0.0,1.0,1.0,0.0,7.0,4.0,0.0,3.0,4.0,6.0,2.0,4.0,1.0,4.0,1.0,313.0,7.0,14.0,141.0,163.0,52.0,311.0,167.0,16.0,14.0,9.0,244.0,30.0,22.0,0.0,10.0,13.0,11.0,1.0,0.0,0.0,28.0,19.0,21.0,47.5
+"Nikola Vlašić,hr CRO,""MF,FW"",Torino,25-129,1997,21.0,19.0,1765.0,4.0,2.0,0.0,0.0,1.0,0.0,0.2,0.1,0.31,0.2,0.31,3.7,3.7,0.19,0.19,19.6,15.0,1.0,35.7,0.76,0.1,0.27,0.09,0.3,0.3,497.0,631.0,78.8,6985.0,1393.0,287.0,331.0,86.7,154.0,187.0,82.4,24.0,35.0,68.6,39.0,43.0,15.0,4.0,66.0,615.0,13.0,2.0,0.0,6.0,28.0,4.0,1.0,2.0,0.0,1.0,3.0,31.0,76.0,3.88,64.0,2.0,5.0,1.0,4.0,0.2,3.0,0.0,0.0,1.0,0.0,19.0,13.0,4.0,11.0,4.0,15.0,1.0,14.0,3.0,8.0,0.0,834.0,9.0,70.0,339.0,440.0,80.0,834.0,496.0,53.0,36.0,17.0,630.0,67.0,34.0,0.0,19.0,22.0,12.0,0.0,0.0,0.0,79.0,19.0,36.0,34.5"
+Joel Voelkerling Persson,se SWE,FW,Lecce,20-026,2003,3.0,0.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,13.0,69.2,77.0,17.0,7.0,9.0,77.8,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,13.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.63,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,16.0,0.0,0.0,8.0,8.0,0.0,16.0,6.0,0.0,0.0,0.0,11.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,6.0,45.5
+Mërgim Vojvoda,xk KVX,DF,Torino,28-009,1995,15.0,10.0,958.0,0.0,4.0,0.0,0.0,1.0,0.0,0.0,0.38,0.38,0.0,0.38,0.7,0.7,0.07,0.07,10.6,3.0,0.0,33.3,0.28,0.0,0.0,0.08,-0.7,-0.7,484.0,643.0,75.3,8166.0,3491.0,247.0,286.0,86.4,192.0,246.0,78.0,35.0,76.0,46.1,12.0,53.0,13.0,1.0,77.0,541.0,98.0,6.0,3.0,10.0,27.0,6.0,3.0,0.0,0.0,86.0,4.0,10.0,33.0,3.1,27.0,3.0,0.0,0.0,7.0,0.66,6.0,0.0,0.0,0.0,0.0,15.0,8.0,9.0,5.0,1.0,6.0,1.0,5.0,7.0,17.0,1.0,739.0,22.0,177.0,339.0,229.0,20.0,739.0,405.0,13.0,17.0,3.0,472.0,10.0,13.0,0.0,10.0,4.0,0.0,0.0,0.0,0.0,65.0,5.0,13.0,27.8
+Cristian Volpato,it ITA,MF,Roma,19-087,2003,5.0,2.0,191.0,1.0,1.0,0.0,0.0,0.0,0.0,0.47,0.47,0.94,0.47,0.94,0.4,0.4,0.17,0.17,2.1,1.0,0.0,25.0,0.47,0.25,1.0,0.09,0.6,0.6,67.0,87.0,77.0,1203.0,352.0,30.0,33.0,90.9,25.0,31.0,80.6,11.0,18.0,61.1,4.0,6.0,5.0,2.0,15.0,82.0,5.0,1.0,1.0,0.0,9.0,2.0,1.0,1.0,0.0,1.0,0.0,3.0,6.0,2.83,5.0,1.0,0.0,0.0,1.0,0.47,1.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,2.0,0.0,2.0,2.0,0.0,0.0,114.0,2.0,8.0,55.0,53.0,10.0,114.0,79.0,7.0,7.0,3.0,88.0,8.0,5.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,16.0,1.0,0.0,100.0
+Aster Vranckx,be BEL,MF,Milan,20-129,2002,7.0,0.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,36.0,58.3,350.0,136.0,10.0,16.0,62.5,7.0,10.0,70.0,3.0,8.0,37.5,1.0,1.0,2.0,1.0,2.0,36.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.15,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,45.0,0.0,11.0,23.0,11.0,1.0,45.0,31.0,2.0,0.0,0.0,32.0,1.0,7.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,60.0
+Stefan de Vrij,nl NED,DF,Inter,31-005,1992,13.0,12.0,1085.0,1.0,0.0,0.0,0.0,1.0,0.0,0.08,0.0,0.08,0.08,0.08,0.7,0.7,0.06,0.06,12.1,2.0,0.0,22.2,0.17,0.11,0.5,0.08,0.3,0.3,551.0,625.0,88.2,9963.0,2901.0,186.0,203.0,91.6,326.0,347.0,93.9,32.0,58.0,55.2,0.0,26.0,0.0,0.0,33.0,613.0,12.0,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,4.0,0.33,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,11.0,4.0,0.0,6.0,4.0,2.0,26.0,41.0,0.0,740.0,70.0,377.0,350.0,14.0,11.0,740.0,413.0,6.0,0.0,0.0,472.0,2.0,3.0,0.0,7.0,6.0,0.0,0.0,1.0,0.0,55.0,37.0,18.0,67.3
+Walace,br BRA,MF,Udinese,27-312,1995,21.0,21.0,1810.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.04,0.04,20.1,5.0,0.0,22.7,0.25,0.0,0.0,0.04,-0.9,-0.9,854.0,1034.0,82.6,15294.0,4973.0,363.0,425.0,85.4,361.0,408.0,88.5,104.0,148.0,70.3,9.0,97.0,6.0,2.0,107.0,991.0,39.0,30.0,0.0,14.0,16.0,0.0,0.0,0.0,0.0,5.0,4.0,18.0,30.0,1.49,24.0,1.0,3.0,2.0,3.0,0.15,2.0,0.0,0.0,1.0,0.0,52.0,28.0,25.0,21.0,6.0,30.0,8.0,22.0,27.0,28.0,0.0,1275.0,66.0,364.0,751.0,171.0,8.0,1275.0,730.0,30.0,21.0,0.0,749.0,25.0,22.0,0.0,23.0,25.0,0.0,0.0,0.0,0.0,189.0,14.0,16.0,46.7
+Sebastian Walukiewicz,pl POL,DF,Empoli,22-311,2000,4.0,1.0,149.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.15,0.15,1.7,1.0,0.0,100.0,0.6,0.0,0.0,0.25,-0.2,-0.2,68.0,78.0,87.2,1481.0,560.0,16.0,17.0,94.1,41.0,44.0,93.2,10.0,14.0,71.4,0.0,3.0,0.0,0.0,3.0,75.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.6,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,3.0,3.0,0.0,0.0,9.0,0.0,94.0,24.0,62.0,29.0,3.0,2.0,94.0,47.0,0.0,0.0,0.0,64.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0
+Georginio Wijnaldum,nl NED,MF,Roma,32-091,1990,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.63,0.63,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,10.0,11.0,90.9,119.0,37.0,7.0,7.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,7.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,7.0,5.0,1.0,12.0,7.0,2.0,0.0,1.0,12.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Harry Winks,eng ENG,MF,Sampdoria,27-008,1996,4.0,3.0,299.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,144.0,183.0,78.7,2522.0,1104.0,58.0,65.0,89.2,64.0,72.0,88.9,16.0,34.0,47.1,3.0,11.0,1.0,0.0,18.0,158.0,25.0,13.0,0.0,0.0,18.0,10.0,6.0,4.0,0.0,0.0,0.0,4.0,8.0,2.41,4.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,6.0,2.0,8.0,1.0,4.0,3.0,1.0,2.0,3.0,0.0,222.0,11.0,52.0,131.0,40.0,1.0,222.0,99.0,3.0,4.0,0.0,115.0,6.0,3.0,0.0,2.0,5.0,1.0,0.0,0.0,0.0,22.0,0.0,2.0,0.0
+Przemysław Wiśniewski,pl POL,DF,Spezia,24-198,1998,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,80.0,72.0,39.0,0.0,0.0,0.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,1.0,4.0,2.0,0.0,0.0,6.0,5.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Gerard Yepes,es ESP,MF,Sampdoria,20-169,2002,5.0,2.0,198.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.2,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,77.0,105.0,73.3,1205.0,271.0,43.0,55.0,78.2,28.0,34.0,82.4,5.0,10.0,50.0,1.0,5.0,0.0,0.0,7.0,99.0,6.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.36,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,3.0,0.0,3.0,0.0,3.0,4.0,3.0,0.0,128.0,6.0,20.0,90.0,19.0,2.0,128.0,59.0,3.0,3.0,1.0,72.0,3.0,1.0,0.0,7.0,4.0,0.0,0.0,0.0,0.0,13.0,5.0,2.0,71.4
+"Mattia Zaccagni,it ITA,""FW,MF"",Lazio,27-239,1995,19.0,19.0,1517.0,8.0,4.0,1.0,1.0,4.0,0.0,0.47,0.24,0.71,0.42,0.65,5.1,4.3,0.3,0.26,16.9,15.0,1.0,42.9,0.89,0.2,0.47,0.12,2.9,2.7,392.0,497.0,78.9,5228.0,1275.0,245.0,276.0,88.8,108.0,139.0,77.7,11.0,26.0,42.3,20.0,23.0,14.0,0.0,44.0,486.0,11.0,2.0,0.0,5.0,32.0,6.0,4.0,1.0,0.0,3.0,0.0,18.0,50.0,2.97,33.0,1.0,5.0,5.0,7.0,0.42,5.0,1.0,1.0,0.0,0.0,27.0,17.0,12.0,11.0,4.0,18.0,3.0,15.0,14.0,6.0,1.0,695.0,9.0,91.0,298.0,318.0,74.0,694.0,486.0,59.0,26.0,22.0,549.0,30.0,19.0,0.0,31.0,63.0,3.0,0.0,1.0,0.0,69.0,6.0,17.0,26.1"
+Denis Zakaria,ch SUI,MF,Juventus,26-082,1996,2.0,1.0,123.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,38.0,84.2,469.0,119.0,18.0,20.0,90.0,11.0,12.0,91.7,2.0,2.0,100.0,0.0,2.0,0.0,0.0,3.0,37.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,0.73,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,4.0,1.0,2.0,0.0,2.0,2.0,1.0,0.0,51.0,2.0,14.0,30.0,9.0,1.0,51.0,27.0,2.0,3.0,0.0,36.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Nicola Zalewski,pl POL,DF,Roma,21-018,2002,17.0,12.0,1042.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.09,0.09,0.0,0.09,0.7,0.7,0.06,0.06,11.6,3.0,0.0,25.0,0.26,0.0,0.0,0.06,-0.7,-0.7,440.0,583.0,75.5,7664.0,2375.0,204.0,241.0,84.6,171.0,208.0,82.2,51.0,99.0,51.5,5.0,26.0,14.0,4.0,42.0,474.0,105.0,9.0,2.0,4.0,35.0,4.0,2.0,1.0,0.0,92.0,4.0,11.0,27.0,2.33,18.0,4.0,2.0,0.0,5.0,0.43,4.0,1.0,0.0,0.0,0.0,22.0,10.0,12.0,7.0,3.0,15.0,0.0,15.0,15.0,9.0,0.0,709.0,14.0,192.0,315.0,210.0,13.0,709.0,395.0,41.0,29.0,8.0,449.0,17.0,5.0,0.0,8.0,21.0,1.0,0.0,0.0,0.0,69.0,3.0,7.0,30.0
+Andre-Frank Zambo Anguissa,cm CMR,MF,Napoli,27-086,1995,19.0,19.0,1594.0,2.0,4.0,0.0,0.0,2.0,0.0,0.11,0.23,0.34,0.11,0.34,3.1,3.1,0.17,0.17,17.7,8.0,0.0,30.8,0.45,0.08,0.25,0.12,-1.1,-1.1,969.0,1113.0,87.1,13758.0,3392.0,563.0,609.0,92.4,318.0,358.0,88.8,43.0,69.0,62.3,16.0,90.0,14.0,0.0,99.0,1099.0,12.0,10.0,1.0,0.0,9.0,0.0,0.0,0.0,0.0,2.0,2.0,17.0,42.0,2.37,35.0,0.0,3.0,1.0,6.0,0.34,6.0,0.0,0.0,0.0,0.0,35.0,21.0,11.0,17.0,7.0,27.0,1.0,26.0,21.0,17.0,0.0,1340.0,31.0,243.0,742.0,378.0,51.0,1340.0,864.0,26.0,26.0,5.0,1038.0,36.0,29.0,0.0,17.0,28.0,2.0,1.0,0.0,0.0,117.0,29.0,15.0,65.9
+"Luca Zanimacchia,it ITA,""MF,FW"",Cremonese,24-206,1998,15.0,9.0,746.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,1.2,0.14,0.14,8.3,4.0,2.0,21.1,0.48,0.0,0.0,0.06,-1.2,-1.2,213.0,312.0,68.3,3230.0,932.0,122.0,155.0,78.7,68.0,102.0,66.7,18.0,37.0,48.6,13.0,12.0,12.0,2.0,26.0,271.0,40.0,8.0,0.0,1.0,46.0,21.0,9.0,10.0,0.0,2.0,1.0,9.0,34.0,4.11,19.0,6.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,11.0,6.0,4.0,9.0,0.0,9.0,9.0,5.0,0.0,416.0,8.0,54.0,156.0,211.0,33.0,416.0,208.0,22.0,20.0,8.0,242.0,20.0,12.0,0.0,9.0,10.0,2.0,1.0,0.0,0.0,48.0,3.0,10.0,23.1"
+"Nicolò Zaniolo,it ITA,""MF,FW"",Roma,23-223,1999,13.0,12.0,890.0,1.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,2.9,2.9,0.29,0.29,9.9,7.0,0.0,25.0,0.71,0.04,0.14,0.1,-1.9,-1.9,125.0,196.0,63.8,2173.0,488.0,63.0,85.0,74.1,46.0,67.0,68.7,15.0,26.0,57.7,8.0,10.0,7.0,1.0,19.0,184.0,11.0,4.0,3.0,6.0,20.0,5.0,4.0,1.0,0.0,1.0,1.0,12.0,27.0,2.73,19.0,0.0,4.0,3.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,8.0,5.0,2.0,5.0,1.0,11.0,0.0,11.0,2.0,0.0,0.0,345.0,1.0,36.0,154.0,165.0,45.0,345.0,245.0,33.0,27.0,9.0,267.0,39.0,35.0,0.0,22.0,32.0,4.0,0.0,0.0,0.0,39.0,5.0,8.0,38.5"
+"Alessandro Zanoli,it ITA,""DF,MF"",Sampdoria,22-130,2000,5.0,0.0,122.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,56.0,79.0,70.9,1013.0,333.0,23.0,24.0,95.8,26.0,32.0,81.3,7.0,14.0,50.0,2.0,1.0,3.0,2.0,2.0,68.0,11.0,2.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,9.0,0.0,5.0,4.0,2.95,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,89.0,5.0,31.0,34.0,25.0,2.0,89.0,41.0,3.0,1.0,1.0,60.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,1.0,3.0,25.0"
+Alessandro Zanoli,it ITA,DF,Napoli,22-130,2000,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.47,0.47,0.1,1.0,0.0,100.0,7.5,0.0,0.0,0.06,-0.1,-0.1,9.0,11.0,81.8,125.0,20.0,4.0,5.0,80.0,5.0,5.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,7.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,14.0,0.0,5.0,6.0,3.0,1.0,14.0,7.0,1.0,1.0,1.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Duván Zapata,co COL,FW,Atalanta,31-315,1991,14.0,8.0,668.0,1.0,1.0,0.0,0.0,1.0,0.0,0.13,0.13,0.27,0.13,0.27,2.2,2.2,0.29,0.29,7.4,5.0,0.0,25.0,0.67,0.05,0.2,0.11,-1.2,-1.2,140.0,210.0,66.7,2146.0,445.0,77.0,107.0,72.0,47.0,66.0,71.2,12.0,20.0,60.0,8.0,10.0,8.0,1.0,21.0,199.0,9.0,1.0,0.0,4.0,11.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,20.0,2.69,16.0,0.0,0.0,1.0,3.0,0.4,2.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,9.0,0.0,280.0,9.0,14.0,132.0,139.0,39.0,280.0,186.0,16.0,6.0,11.0,243.0,18.0,21.0,0.0,7.0,17.0,4.0,1.0,0.0,0.0,18.0,24.0,21.0,53.3
+"Davide Zappacosta,it ITA,""DF,MF"",Atalanta,30-244,1992,5.0,3.0,226.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.4,0.4,0.0,0.4,0.3,0.3,0.1,0.1,2.5,1.0,0.0,33.3,0.4,0.0,0.0,0.09,-0.3,-0.3,96.0,126.0,76.2,1356.0,513.0,58.0,66.0,87.9,30.0,43.0,69.8,5.0,7.0,71.4,2.0,5.0,0.0,0.0,8.0,98.0,28.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,27.0,0.0,4.0,4.0,1.59,2.0,0.0,1.0,0.0,2.0,0.8,1.0,0.0,1.0,0.0,0.0,7.0,3.0,3.0,3.0,1.0,3.0,0.0,3.0,2.0,3.0,0.0,167.0,8.0,42.0,68.0,61.0,11.0,167.0,101.0,10.0,7.0,4.0,98.0,7.0,2.0,0.0,5.0,2.0,1.0,0.0,0.0,0.0,18.0,0.0,2.0,0.0"
+Alessio Zerbin,it ITA,FW,Napoli,23-344,1999,4.0,0.0,55.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,0.07,0.6,1.0,0.0,100.0,1.64,0.0,0.0,0.04,0.0,0.0,10.0,17.0,58.8,120.0,21.0,6.0,8.0,75.0,2.0,4.0,50.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,29.0,4.0,8.0,15.0,6.0,2.0,29.0,22.0,0.0,0.0,0.0,23.0,2.0,3.0,0.0,4.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Piotr Zieliński,pl POL,MF,Napoli,28-266,1994,21.0,16.0,1314.0,3.0,6.0,0.0,0.0,1.0,0.0,0.21,0.41,0.62,0.21,0.62,2.4,2.4,0.16,0.16,14.6,14.0,3.0,40.0,0.96,0.09,0.21,0.07,0.6,0.6,689.0,833.0,82.7,9982.0,2801.0,407.0,442.0,92.1,189.0,231.0,81.8,52.0,88.0,59.1,42.0,64.0,22.0,4.0,69.0,755.0,75.0,17.0,0.0,5.0,57.0,41.0,19.0,14.0,0.0,1.0,3.0,17.0,69.0,4.72,42.0,18.0,3.0,4.0,8.0,0.55,5.0,2.0,1.0,0.0,0.0,10.0,6.0,1.0,7.0,2.0,8.0,3.0,5.0,12.0,5.0,0.0,964.0,14.0,122.0,456.0,397.0,35.0,964.0,592.0,36.0,42.0,7.0,746.0,15.0,9.0,0.0,8.0,18.0,2.0,0.0,0.0,0.0,59.0,2.0,8.0,20.0
+David Zima,cz CZE,DF,Torino,22-094,2000,9.0,4.0,406.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.17,0.17,4.5,2.0,0.0,50.0,0.44,0.0,0.0,0.2,-0.8,-0.8,154.0,197.0,78.2,2708.0,743.0,60.0,77.0,77.9,73.0,86.0,84.9,12.0,20.0,60.0,2.0,6.0,3.0,0.0,12.0,194.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,0.89,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,5.0,4.0,0.0,7.0,2.0,5.0,9.0,11.0,2.0,245.0,20.0,114.0,121.0,12.0,5.0,245.0,111.0,3.0,2.0,0.0,129.0,1.0,2.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,24.0,15.0,9.0,62.5
+Joshua Zirkzee,nl NED,FW,Bologna,21-264,2001,9.0,4.0,464.0,1.0,1.0,0.0,0.0,1.0,0.0,0.19,0.19,0.39,0.19,0.39,1.8,1.8,0.35,0.35,5.2,4.0,0.0,25.0,0.78,0.06,0.25,0.11,-0.8,-0.8,105.0,138.0,76.1,1280.0,239.0,69.0,85.0,81.2,25.0,32.0,78.1,3.0,3.0,100.0,8.0,6.0,3.0,0.0,9.0,127.0,11.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,21.0,4.08,13.0,0.0,4.0,0.0,3.0,0.58,3.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,2.0,1.0,1.0,0.0,3.0,2.0,0.0,205.0,4.0,13.0,92.0,101.0,21.0,205.0,122.0,5.0,8.0,4.0,163.0,20.0,14.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,10.0,8.0,15.0,34.8
+Jeroen Zoet,nl NED,GK,Spezia,32-035,1991,3.0,2.0,154.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,65.0,52.3,1150.0,997.0,8.0,8.0,100.0,11.0,12.0,91.7,15.0,45.0,33.3,0.0,3.0,0.0,0.0,0.0,54.0,11.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.58,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,68.0,59.0,67.0,1.0,0.0,0.0,68.0,47.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+"Nadir Zortea,it ITA,""DF,MF"",Atalanta,23-236,1999,9.0,1.0,222.0,1.0,0.0,0.0,0.0,1.0,0.0,0.41,0.0,0.41,0.41,0.41,0.1,0.1,0.05,0.05,2.5,3.0,0.0,75.0,1.22,0.25,0.33,0.03,0.9,0.9,60.0,98.0,61.2,937.0,602.0,31.0,38.0,81.6,22.0,35.0,62.9,5.0,13.0,38.5,3.0,3.0,3.0,1.0,9.0,83.0,15.0,0.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,15.0,0.0,6.0,8.0,3.27,5.0,0.0,1.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,10.0,5.0,3.0,7.0,0.0,4.0,0.0,4.0,0.0,4.0,0.0,153.0,7.0,45.0,50.0,60.0,7.0,153.0,78.0,11.0,7.0,2.0,82.0,6.0,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,1.0,83.3"
+Nadir Zortea,it ITA,DF,Sassuolo,23-236,1999,1.0,1.0,90.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,1.0,1.0,0.0,50.0,1.0,0.0,0.0,0.02,0.0,0.0,59.0,67.0,88.1,946.0,400.0,28.0,29.0,96.6,27.0,32.0,84.4,3.0,5.0,60.0,3.0,4.0,3.0,1.0,9.0,57.0,10.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,4.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,78.0,5.0,17.0,39.0,24.0,0.0,78.0,48.0,6.0,6.0,0.0,49.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,33.3
+Petar Zovko,ba BIH,GK,Spezia,20-322,2002,1.0,0.0,74.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,36.0,61.1,683.0,458.0,4.0,4.0,100.0,9.0,9.0,100.0,9.0,23.0,39.1,0.0,1.0,0.0,0.0,0.0,21.0,15.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,29.0,36.0,2.0,0.0,0.0,38.0,18.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Szymon Żurkowski,pl POL,MF,Fiorentina,25-138,1997,2.0,0.0,32.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.81,2.81,0.0,2.81,0.1,0.1,0.33,0.33,0.4,1.0,0.0,50.0,2.81,0.0,0.0,0.06,-0.1,-0.1,17.0,19.0,89.5,298.0,21.0,6.0,7.0,85.7,7.0,7.0,100.0,2.0,2.0,100.0,1.0,1.0,1.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,5.63,2.0,0.0,0.0,0.0,1.0,2.81,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,1.0,8.0,16.0,3.0,25.0,16.0,3.0,1.0,1.0,18.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
+Szymon Żurkowski,pl POL,MF,Spezia,25-138,1997,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,24.0,3.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,8.0,2.0,2.0,3.0,3.0,0.0,8.0,3.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Milan Đurić,ba BIH,FW,Hellas Verona,32-264,1990,16.0,7.0,703.0,1.0,0.0,0.0,0.0,3.0,0.0,0.13,0.0,0.13,0.13,0.13,0.5,0.5,0.07,0.07,7.8,2.0,0.0,25.0,0.26,0.13,0.5,0.07,0.5,0.5,154.0,288.0,53.5,1800.0,425.0,106.0,185.0,57.3,32.0,67.0,47.8,3.0,5.0,60.0,12.0,14.0,3.0,0.0,18.0,287.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,22.0,2.81,18.0,0.0,2.0,2.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,5.0,3.0,2.0,0.0,11.0,0.0,354.0,15.0,28.0,172.0,154.0,34.0,354.0,144.0,1.0,2.0,2.0,307.0,19.0,4.0,0.0,15.0,14.0,3.0,0.0,0.0,0.0,16.0,113.0,28.0,80.1
+"Filip Đuričić,rs SRB,""MF,FW"",Sampdoria,31-011,1992,20.0,17.0,1326.0,2.0,0.0,0.0,0.0,6.0,0.0,0.14,0.0,0.14,0.14,0.14,1.4,1.4,0.1,0.1,14.7,7.0,0.0,41.2,0.48,0.12,0.29,0.08,0.6,0.6,345.0,454.0,76.0,5687.0,1392.0,181.0,215.0,84.2,120.0,145.0,82.8,33.0,51.0,64.7,27.0,33.0,17.0,4.0,52.0,424.0,29.0,10.0,1.0,3.0,23.0,8.0,0.0,7.0,0.0,7.0,1.0,22.0,51.0,3.47,34.0,7.0,2.0,5.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,28.0,13.0,12.0,12.0,4.0,11.0,2.0,9.0,5.0,3.0,0.0,617.0,10.0,83.0,288.0,256.0,21.0,617.0,367.0,26.0,30.0,3.0,425.0,40.0,33.0,0.0,22.0,33.0,0.0,0.0,0.0,0.0,73.0,8.0,13.0,38.1"
diff --git a/fbref_data/season2021/outfield_players.csv b/fbref_data/season2021/outfield_players.csv
index 9fa09e2..b4b0621 100644
--- a/fbref_data/season2021/outfield_players.csv
+++ b/fbref_data/season2021/outfield_players.csv
@@ -1,620 +1,620 @@
-player,nationality,position,team,age,birth_year,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,minutes_90s,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Gennaro Acampora,it ITA,"MF,FW",Spezia,26,1994,14.0,2.0,441.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,4.9,0.0,1.0,0.0,0.0,0.0,0.0,0.03,-0.3,-0.3,185.0,223.0,83.0,3437.0,574.0,79.0,86.0,91.9,83.0,100.0,83.0,19.0,27.0,70.4,1.0,20.0,2.0,0.0,28.0,216.0,5.0,4.0,0.0,6.0,7.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,8.0,1.63,6.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,1.0,4.0,1.0,2.0,7.0,28.6,5.0,4.0,1.0,3.0,4.0,4.0,0.0,282.0,8.0,39.0,147.0,102.0,4.0,282.0,10.0,16.0,62.5,187.0,15.0,14.0,1.0,206.0,12.0,12.0,0.0,10.0,12.0,1.0,0.0,0.0,0.0,31.0,3.0,5.0,37.5
-Francesco Acerbi,it ITA,DF,Lazio,32,1988,32.0,32.0,2813.0,0.0,1.0,0.0,0.0,9.0,1.0,0.0,0.03,0.03,0.0,0.03,1.1,1.1,0.03,0.03,31.3,0.0,0.0,0.0,0.0,0.0,0.0,0.12,-1.1,-1.1,1854.0,2097.0,88.4,35641.0,11589.0,703.0,767.0,91.7,880.0,930.0,94.6,248.0,352.0,70.5,10.0,110.0,21.0,10.0,141.0,1974.0,119.0,73.0,0.0,24.0,32.0,0.0,0.0,0.0,0.0,22.0,4.0,11.0,31.0,0.99,26.0,1.0,0.0,2.0,0.0,5.0,0.16,5.0,0.0,0.0,0.0,0.0,0.0,51.0,32.0,34.0,13.0,4.0,18.0,40.0,45.0,22.0,24.0,15.0,9.0,76.0,121.0,2.0,2430.0,309.0,1122.0,1136.0,191.0,22.0,2430.0,6.0,8.0,75.0,1410.0,41.0,42.0,2.0,1565.0,21.0,10.0,1.0,31.0,24.0,2.0,0.0,0.0,0.0,227.0,62.0,25.0,71.3
-Andrea Adorante,it ITA,FW,Parma,20,2000,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,18.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Lucien Agoume,fr FRA,MF,Spezia,18,2002,12.0,9.0,800.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,434.0,487.0,89.1,7835.0,1942.0,191.0,205.0,93.2,187.0,205.0,91.2,47.0,59.0,79.7,2.0,39.0,3.0,1.0,46.0,472.0,12.0,11.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,1.0,3.0,2.0,7.0,0.79,7.0,0.0,0.0,0.0,0.0,2.0,0.23,2.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,11.0,7.0,0.0,6.0,19.0,31.6,13.0,10.0,5.0,5.0,15.0,10.0,0.0,563.0,26.0,165.0,338.0,68.0,1.0,563.0,6.0,8.0,75.0,308.0,6.0,6.0,1.0,368.0,9.0,8.0,0.0,17.0,8.0,0.0,0.0,0.0,0.0,75.0,12.0,2.0,85.7
-Kevin Agudelo,co COL,FW,Spezia,21,1998,29.0,14.0,1356.0,1.0,2.0,0.0,0.0,4.0,0.0,0.07,0.13,0.2,0.07,0.2,1.5,1.5,0.1,0.1,15.1,4.0,0.0,21.1,0.27,0.05,0.25,0.08,-0.5,-0.5,228.0,328.0,69.5,3824.0,848.0,114.0,141.0,80.9,86.0,110.0,78.2,22.0,36.0,61.1,12.0,27.0,10.0,0.0,43.0,310.0,16.0,0.0,1.0,1.0,11.0,2.0,0.0,0.0,0.0,2.0,2.0,25.0,38.0,2.52,19.0,1.0,3.0,8.0,4.0,7.0,0.46,5.0,1.0,0.0,1.0,0.0,0.0,39.0,28.0,9.0,15.0,15.0,12.0,34.0,35.3,22.0,30.0,0.0,30.0,10.0,2.0,0.0,544.0,2.0,58.0,233.0,271.0,56.0,544.0,44.0,76.0,57.9,325.0,50.0,35.0,24.0,357.0,35.0,25.0,0.0,20.0,32.0,2.0,0.0,0.0,0.0,60.0,16.0,34.0,32.0
-Jean-Daniel Akpa-Akpro,ci CIV,MF,Lazio,27,1992,32.0,6.0,1056.0,0.0,1.0,0.0,0.0,9.0,0.0,0.0,0.09,0.09,0.0,0.09,1.2,1.2,0.1,0.1,11.7,1.0,0.0,8.3,0.09,0.0,0.0,0.1,-1.2,-1.2,293.0,361.0,81.2,4459.0,907.0,149.0,181.0,82.3,113.0,124.0,91.1,15.0,22.0,68.2,12.0,20.0,7.0,0.0,26.0,340.0,20.0,5.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,12.0,1.0,11.0,19.0,1.62,16.0,0.0,1.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,38.0,25.0,13.0,22.0,3.0,8.0,27.0,29.6,19.0,24.0,6.0,18.0,18.0,13.0,0.0,522.0,20.0,116.0,289.0,132.0,21.0,522.0,15.0,26.0,57.7,270.0,11.0,11.0,3.0,282.0,26.0,13.0,0.0,31.0,12.0,0.0,0.0,0.0,0.0,70.0,9.0,9.0,50.0
-Luis Alberto,es ESP,MF,Lazio,27,1992,34.0,33.0,2618.0,9.0,2.0,0.0,0.0,5.0,0.0,0.31,0.07,0.38,0.31,0.38,5.1,5.0,0.18,0.17,29.1,29.0,3.0,42.0,1.0,0.13,0.31,0.07,3.9,4.0,1493.0,1946.0,76.7,25097.0,9846.0,712.0,808.0,88.1,575.0,702.0,81.9,157.0,308.0,51.0,80.0,282.0,83.0,6.0,301.0,1664.0,266.0,71.0,9.0,14.0,150.0,119.0,63.0,38.0,1.0,22.0,16.0,43.0,157.0,5.4,118.0,25.0,7.0,4.0,2.0,7.0,0.24,6.0,0.0,1.0,0.0,0.0,0.0,43.0,24.0,15.0,19.0,9.0,15.0,73.0,20.5,58.0,41.0,2.0,39.0,13.0,11.0,1.0,2254.0,14.0,240.0,1244.0,817.0,63.0,2254.0,51.0,95.0,53.7,1344.0,143.0,124.0,19.0,1577.0,46.0,39.0,0.0,19.0,36.0,2.0,0.0,0.0,0.0,209.0,10.0,12.0,45.5
-Bruno Alves,pt POR,DF,Parma,38,1981,19.0,18.0,1632.0,1.0,0.0,0.0,0.0,3.0,0.0,0.06,0.0,0.06,0.06,0.06,0.4,0.4,0.02,0.02,18.1,3.0,3.0,30.0,0.17,0.1,0.33,0.04,0.6,0.6,790.0,931.0,84.9,19031.0,7295.0,142.0,160.0,88.8,456.0,499.0,91.4,190.0,256.0,74.2,2.0,43.0,3.0,1.0,50.0,894.0,33.0,29.0,0.0,11.0,8.0,0.0,0.0,0.0,0.0,2.0,4.0,4.0,9.0,0.5,7.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,10.0,10.0,3.0,0.0,7.0,9.0,77.8,2.0,17.0,12.0,5.0,26.0,81.0,0.0,1096.0,173.0,611.0,446.0,41.0,17.0,1096.0,1.0,2.0,50.0,636.0,0.0,4.0,1.0,721.0,1.0,1.0,0.0,20.0,9.0,1.0,0.0,0.0,0.0,74.0,43.0,5.0,89.6
-Wisdom Amey,it ITA,DF,Bologna,14,2005,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,100.0,102.0,7.0,2.0,2.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,45.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,5.0,2.0,0.0,7.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Sofyan Amrabat,ma MAR,MF,Fiorentina,23,1996,31.0,28.0,2441.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,27.1,3.0,0.0,30.0,0.11,0.0,0.0,0.04,-0.4,-0.4,1210.0,1378.0,87.8,23407.0,5627.0,469.0,531.0,88.3,540.0,582.0,92.8,179.0,204.0,87.7,13.0,143.0,11.0,4.0,151.0,1314.0,61.0,38.0,0.0,33.0,16.0,0.0,0.0,0.0,0.0,5.0,3.0,18.0,36.0,1.33,35.0,0.0,0.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,39.0,22.0,11.0,24.0,4.0,18.0,48.0,37.5,30.0,30.0,5.0,25.0,23.0,12.0,0.0,1603.0,33.0,270.0,1091.0,266.0,12.0,1603.0,47.0,71.0,66.2,1051.0,38.0,33.0,3.0,1143.0,33.0,48.0,0.0,59.0,44.0,0.0,0.0,0.0,0.0,188.0,18.0,26.0,40.9
-Djavan Anderson,nl NED,DF,Lazio,25,1995,3.0,1.0,72.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,32.0,71.9,265.0,37.0,15.0,19.0,78.9,7.0,8.0,87.5,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,7.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,37.0,1.0,7.0,15.0,15.0,0.0,37.0,0.0,2.0,0.0,20.0,2.0,0.0,0.0,20.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Nícolas Andrade,br BRA,GK,Udinese,32,1988,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,40.0,85.0,978.0,673.0,6.0,6.0,100.0,19.0,19.0,100.0,9.0,15.0,60.0,0.0,0.0,0.0,0.0,0.0,29.0,11.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,36.0,40.0,0.0,0.0,0.0,40.0,0.0,0.0,0.0,23.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Davide Angelo Ghislandi,it ITA,DF,Atalanta,19,2001,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,100.0,51.0,9.0,1.0,1.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,1.0,1.0,2.0,0.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Philip Ankhrah,gh GHA,MF,Hellas Verona,17,2002,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Cristian Ansaldi,ar ARG,"DF,FW",Torino,33,1986,31.0,20.0,1947.0,1.0,6.0,1.0,1.0,1.0,0.0,0.05,0.28,0.32,0.0,0.28,1.9,1.1,0.09,0.05,21.6,6.0,4.0,35.3,0.28,0.0,0.0,0.07,-0.9,-1.1,674.0,997.0,67.6,12959.0,5276.0,308.0,350.0,88.0,242.0,345.0,70.1,106.0,248.0,42.7,36.0,64.0,40.0,34.0,66.0,757.0,239.0,32.0,0.0,26.0,177.0,22.0,3.0,16.0,0.0,185.0,1.0,28.0,72.0,3.33,43.0,15.0,5.0,4.0,3.0,8.0,0.37,7.0,0.0,1.0,0.0,0.0,0.0,48.0,33.0,25.0,14.0,9.0,24.0,38.0,63.2,14.0,21.0,7.0,14.0,16.0,38.0,0.0,1205.0,60.0,305.0,481.0,435.0,31.0,1204.0,28.0,54.0,51.9,645.0,91.0,58.0,8.0,658.0,26.0,17.0,0.0,24.0,22.0,0.0,0.0,1.0,0.0,99.0,7.0,14.0,33.3
-Valentin Antov,bg BUL,DF,Bologna,19,2000,5.0,2.0,232.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,108.0,122.0,88.5,2181.0,851.0,41.0,42.0,97.6,51.0,55.0,92.7,16.0,25.0,64.0,1.0,4.0,0.0,0.0,6.0,109.0,13.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,3.0,10.0,30.0,7.0,6.0,5.0,1.0,4.0,13.0,0.0,154.0,30.0,101.0,51.0,2.0,0.0,154.0,1.0,1.0,100.0,71.0,1.0,1.0,0.0,93.0,2.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,11.0,3.0,5.0,37.5
-Nicolò Armini,it ITA,DF,Lazio,19,2001,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,93.0,31.0,2.0,3.0,66.7,0.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,3.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,3.0,1.0,0.0,5.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Tolgay Arslan,de GER,MF,Udinese,29,1990,30.0,25.0,1818.0,3.0,0.0,0.0,0.0,9.0,0.0,0.15,0.0,0.15,0.15,0.15,0.9,0.9,0.04,0.04,20.2,6.0,0.0,27.3,0.3,0.14,0.5,0.04,2.1,2.1,749.0,890.0,84.2,12827.0,2917.0,341.0,380.0,89.7,325.0,363.0,89.5,62.0,97.0,63.9,9.0,73.0,12.0,2.0,80.0,853.0,31.0,26.0,1.0,10.0,13.0,2.0,1.0,1.0,0.0,3.0,6.0,12.0,35.0,1.73,26.0,1.0,2.0,1.0,4.0,2.0,0.1,1.0,0.0,1.0,0.0,0.0,0.0,52.0,32.0,24.0,24.0,4.0,25.0,54.0,46.3,29.0,22.0,2.0,20.0,22.0,15.0,1.0,1095.0,23.0,227.0,652.0,234.0,19.0,1095.0,34.0,48.0,70.8,665.0,48.0,45.0,6.0,734.0,22.0,22.0,0.0,38.0,45.0,0.0,0.0,1.0,0.0,139.0,11.0,9.0,55.0
-Kwadwo Asamoah,gh GHA,"DF,MF",Cagliari,31,1988,9.0,1.0,224.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.5,1.0,0.0,50.0,0.4,0.0,0.0,0.04,-0.1,-0.1,95.0,114.0,83.3,1746.0,456.0,43.0,48.0,89.6,38.0,43.0,88.4,12.0,17.0,70.6,0.0,10.0,2.0,0.0,6.0,102.0,12.0,1.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,10.0,0.0,1.0,3.0,1.2,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,2.0,3.0,66.7,1.0,5.0,1.0,4.0,4.0,2.0,1.0,136.0,8.0,34.0,70.0,35.0,1.0,136.0,2.0,3.0,66.7,72.0,4.0,5.0,0.0,77.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,20.0,2.0,1.0,66.7
-Kristoffer Askildsen,no NOR,MF,Sampdoria,19,2001,6.0,0.0,95.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,10.0,19.0,52.6,146.0,67.0,8.0,12.0,66.7,1.0,2.0,50.0,1.0,3.0,33.3,0.0,1.0,0.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,3.0,3.0,0.0,31.0,2.0,13.0,13.0,5.0,1.0,31.0,1.0,1.0,100.0,15.0,1.0,1.0,0.0,16.0,3.0,3.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,50.0
-Emil Audero,it ITA,GK,Sampdoria,23,1997,37.0,37.0,3330.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,877.0,1247.0,70.3,26471.0,19006.0,124.0,125.0,99.2,387.0,394.0,98.2,364.0,724.0,50.3,1.0,12.0,0.0,0.0,0.0,873.0,372.0,113.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,6.0,0.16,4.0,2.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,1.0,16.0,0.0,1341.0,1180.0,1336.0,5.0,1.0,1.0,1341.0,0.0,0.0,0.0,709.0,0.0,0.0,0.0,572.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,61.0,6.0,0.0,100.0
-Tommaso Augello,it ITA,DF,Sampdoria,25,1994,37.0,37.0,3216.0,1.0,3.0,0.0,0.0,2.0,1.0,0.03,0.08,0.11,0.03,0.11,0.3,0.3,0.01,0.01,35.7,2.0,0.0,25.0,0.06,0.13,0.5,0.04,0.7,0.7,1564.0,2061.0,75.9,24859.0,10136.0,807.0,916.0,88.1,628.0,807.0,77.8,97.0,228.0,42.5,29.0,100.0,40.0,25.0,157.0,1701.0,357.0,42.0,0.0,5.0,148.0,0.0,0.0,0.0,0.0,315.0,3.0,62.0,56.0,1.57,49.0,3.0,3.0,1.0,0.0,5.0,0.14,5.0,0.0,0.0,0.0,0.0,0.0,42.0,30.0,27.0,10.0,5.0,23.0,39.0,59.0,16.0,22.0,2.0,20.0,32.0,76.0,1.0,2330.0,109.0,708.0,1016.0,632.0,31.0,2330.0,31.0,54.0,57.4,1215.0,105.0,72.0,7.0,1409.0,43.0,16.0,0.0,13.0,25.0,2.0,0.0,0.0,0.0,214.0,41.0,30.0,57.7
-Kaan Ayhan,tr TUR,DF,Sassuolo,25,1994,19.0,7.0,796.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.05,0.05,8.8,0.0,2.0,0.0,0.0,0.0,0.0,0.1,-0.5,-0.5,515.0,567.0,90.8,8573.0,2411.0,234.0,246.0,95.1,251.0,268.0,93.7,26.0,41.0,63.4,0.0,51.0,2.0,0.0,41.0,530.0,36.0,8.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,28.0,1.0,3.0,4.0,0.45,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,8.0,5.0,2.0,8.0,13.0,61.5,5.0,9.0,5.0,4.0,16.0,33.0,0.0,651.0,68.0,219.0,358.0,77.0,4.0,651.0,3.0,4.0,75.0,394.0,19.0,9.0,1.0,466.0,1.0,3.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,37.0,12.0,22.0,35.3
-Milan Badelj,hr CRO,MF,Genoa,31,1989,30.0,29.0,2408.0,1.0,4.0,0.0,0.0,7.0,0.0,0.04,0.15,0.19,0.04,0.19,0.8,0.8,0.03,0.03,26.8,4.0,0.0,23.5,0.15,0.06,0.25,0.05,0.2,0.2,1295.0,1597.0,81.1,23532.0,7988.0,597.0,674.0,88.6,492.0,585.0,84.1,182.0,261.0,69.7,29.0,149.0,25.0,2.0,170.0,1520.0,70.0,54.0,3.0,26.0,15.0,2.0,1.0,1.0,0.0,3.0,7.0,25.0,62.0,2.32,55.0,1.0,0.0,1.0,3.0,8.0,0.3,7.0,0.0,0.0,0.0,1.0,0.0,56.0,27.0,27.0,22.0,7.0,26.0,84.0,31.0,58.0,51.0,10.0,41.0,87.0,45.0,1.0,1905.0,78.0,478.0,1177.0,273.0,13.0,1905.0,36.0,46.0,78.3,1036.0,23.0,26.0,1.0,1193.0,31.0,22.0,0.0,34.0,32.0,1.0,1.0,0.0,0.0,228.0,16.0,12.0,57.1
-Tiemoué Bakayoko,fr FRA,MF,Napoli,25,1994,32.0,23.0,1964.0,2.0,1.0,0.0,0.0,6.0,1.0,0.09,0.05,0.14,0.09,0.14,1.1,1.1,0.05,0.05,21.8,4.0,0.0,25.0,0.18,0.13,0.5,0.07,0.9,0.9,1080.0,1228.0,87.9,17505.0,4453.0,524.0,590.0,88.8,442.0,465.0,95.1,82.0,103.0,79.6,12.0,87.0,8.0,0.0,99.0,1198.0,27.0,27.0,1.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,16.0,34.0,1.56,27.0,0.0,0.0,2.0,3.0,4.0,0.18,2.0,0.0,0.0,0.0,1.0,1.0,69.0,41.0,21.0,41.0,7.0,23.0,40.0,57.5,17.0,24.0,2.0,22.0,36.0,13.0,2.0,1449.0,36.0,296.0,973.0,187.0,16.0,1449.0,25.0,29.0,86.2,804.0,15.0,18.0,1.0,1063.0,27.0,20.0,1.0,36.0,52.0,1.0,1.0,0.0,0.0,129.0,44.0,34.0,56.4
-Keita Baldé,sn SEN,FW,Sampdoria,25,1995,25.0,12.0,1197.0,7.0,1.0,0.0,0.0,4.0,1.0,0.53,0.08,0.6,0.53,0.6,5.7,5.7,0.42,0.42,13.3,19.0,0.0,43.2,1.43,0.16,0.37,0.13,1.3,1.3,230.0,315.0,73.0,3100.0,526.0,135.0,169.0,79.9,74.0,96.0,77.1,7.0,18.0,38.9,21.0,14.0,6.0,0.0,26.0,292.0,23.0,1.0,0.0,0.0,8.0,2.0,2.0,0.0,0.0,2.0,0.0,9.0,45.0,3.38,23.0,0.0,6.0,7.0,8.0,6.0,0.45,1.0,0.0,1.0,1.0,3.0,0.0,9.0,6.0,2.0,6.0,1.0,4.0,10.0,40.0,6.0,10.0,1.0,9.0,0.0,3.0,0.0,473.0,4.0,21.0,189.0,270.0,83.0,473.0,16.0,26.0,61.5,302.0,40.0,26.0,23.0,400.0,45.0,15.0,0.0,32.0,35.0,4.0,1.0,1.0,0.0,25.0,20.0,41.0,32.8
-Botond Balogh,hu HUN,DF,Parma,18,2002,3.0,1.0,165.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,59.0,79.0,74.7,1277.0,419.0,12.0,16.0,75.0,35.0,42.0,83.3,11.0,18.0,61.1,0.0,0.0,0.0,0.0,2.0,75.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,9.0,0.0,0.0,2.0,5.0,40.0,3.0,4.0,3.0,1.0,2.0,8.0,0.0,105.0,13.0,62.0,40.0,3.0,1.0,105.0,1.0,1.0,100.0,63.0,1.0,1.0,0.0,64.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,40.0
-Mattia Bani,it ITA,DF,Genoa,26,1993,11.0,10.0,921.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,10.2,1.0,0.0,20.0,0.1,0.0,0.0,0.11,-0.6,-0.6,443.0,529.0,83.7,8734.0,3270.0,142.0,163.0,87.1,236.0,258.0,91.5,58.0,88.0,65.9,2.0,14.0,2.0,1.0,15.0,513.0,15.0,12.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,6.0,6.0,0.59,5.0,0.0,0.0,0.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,10.0,5.0,5.0,5.0,0.0,5.0,12.0,41.7,7.0,16.0,11.0,5.0,27.0,44.0,0.0,650.0,82.0,358.0,271.0,22.0,7.0,650.0,0.0,1.0,0.0,325.0,1.0,3.0,1.0,389.0,2.0,5.0,0.0,13.0,7.0,1.0,0.0,0.0,0.0,39.0,32.0,29.0,52.5
-Mattia Bani,it ITA,DF,Parma,26,1993,15.0,14.0,1145.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.05,0.05,12.7,2.0,0.0,25.0,0.16,0.0,0.0,0.08,-0.6,-0.6,633.0,712.0,88.9,13012.0,4280.0,167.0,187.0,89.3,382.0,398.0,96.0,79.0,115.0,68.7,2.0,23.0,2.0,1.0,32.0,684.0,28.0,21.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,6.0,0.47,5.0,0.0,0.0,1.0,0.0,1.0,0.08,0.0,0.0,0.0,1.0,0.0,0.0,20.0,11.0,15.0,4.0,1.0,4.0,8.0,50.0,4.0,10.0,6.0,4.0,33.0,50.0,0.0,846.0,115.0,491.0,336.0,22.0,10.0,846.0,0.0,0.0,0.0,487.0,5.0,2.0,0.0,587.0,3.0,1.0,0.0,16.0,8.0,0.0,0.0,0.0,0.0,54.0,34.0,24.0,58.6
-Antonín Barák,cz CZE,MF,Hellas Verona,25,1994,34.0,32.0,2765.0,7.0,3.0,0.0,0.0,5.0,1.0,0.23,0.1,0.33,0.23,0.33,6.8,6.8,0.22,0.22,30.7,16.0,1.0,35.6,0.52,0.16,0.44,0.15,0.2,0.2,1017.0,1311.0,77.6,16319.0,4200.0,523.0,629.0,83.1,395.0,476.0,83.0,67.0,104.0,64.4,24.0,126.0,26.0,2.0,147.0,1261.0,40.0,20.0,2.0,6.0,14.0,0.0,0.0,0.0,0.0,15.0,10.0,37.0,56.0,1.84,50.0,0.0,4.0,1.0,1.0,7.0,0.23,5.0,0.0,2.0,0.0,0.0,0.0,30.0,19.0,8.0,16.0,6.0,14.0,47.0,29.8,33.0,26.0,7.0,19.0,12.0,38.0,1.0,1598.0,57.0,234.0,937.0,459.0,76.0,1598.0,27.0,41.0,65.9,882.0,64.0,49.0,14.0,1080.0,44.0,28.0,0.0,60.0,17.0,4.0,0.0,1.0,0.0,216.0,65.0,81.0,44.5
-Federico Barba,it ITA,DF,Benevento,26,1993,32.0,31.0,2659.0,0.0,2.0,0.0,0.0,8.0,0.0,0.0,0.07,0.07,0.0,0.07,0.8,0.8,0.03,0.03,29.5,3.0,0.0,23.1,0.1,0.0,0.0,0.06,-0.8,-0.8,1095.0,1396.0,78.4,19174.0,7531.0,465.0,527.0,88.2,496.0,606.0,81.8,101.0,198.0,51.0,13.0,56.0,14.0,4.0,80.0,1152.0,240.0,61.0,0.0,4.0,38.0,0.0,0.0,0.0,0.0,171.0,4.0,23.0,29.0,0.98,23.0,2.0,0.0,3.0,1.0,4.0,0.14,3.0,0.0,0.0,1.0,0.0,0.0,31.0,16.0,22.0,8.0,1.0,21.0,35.0,60.0,14.0,39.0,18.0,21.0,48.0,94.0,4.0,1672.0,154.0,817.0,669.0,201.0,25.0,1672.0,5.0,8.0,62.5,760.0,23.0,22.0,1.0,891.0,14.0,6.0,0.0,27.0,10.0,1.0,0.0,0.0,1.0,116.0,22.0,30.0,42.3
-Nicolò Barella,it ITA,MF,Inter,23,1997,36.0,32.0,2896.0,3.0,7.0,0.0,0.0,5.0,0.0,0.09,0.22,0.31,0.09,0.31,2.4,2.4,0.07,0.07,32.2,8.0,0.0,22.2,0.25,0.08,0.38,0.07,0.6,0.6,1591.0,1931.0,82.4,25100.0,8423.0,850.0,935.0,90.9,564.0,662.0,85.2,123.0,201.0,61.2,47.0,182.0,66.0,10.0,261.0,1894.0,29.0,10.0,5.0,12.0,64.0,1.0,1.0,0.0,0.0,18.0,8.0,41.0,105.0,3.26,97.0,1.0,2.0,3.0,2.0,14.0,0.44,13.0,0.0,0.0,1.0,0.0,0.0,58.0,31.0,23.0,29.0,6.0,23.0,72.0,31.9,49.0,29.0,4.0,25.0,26.0,14.0,0.0,2236.0,41.0,358.0,1168.0,737.0,54.0,2236.0,35.0,52.0,67.3,1305.0,99.0,77.0,12.0,1700.0,63.0,28.0,0.0,43.0,53.0,2.0,0.0,1.0,0.0,193.0,30.0,28.0,51.7
-Antonio Barreca,it ITA,DF,Fiorentina,25,1995,3.0,1.0,85.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.9,1.0,0.0,50.0,1.06,0.0,0.0,0.05,-0.1,-0.1,32.0,51.0,62.7,480.0,157.0,17.0,19.0,89.5,12.0,20.0,60.0,2.0,5.0,40.0,1.0,4.0,1.0,1.0,6.0,36.0,15.0,2.0,0.0,0.0,11.0,3.0,0.0,3.0,0.0,10.0,0.0,2.0,2.0,2.12,2.0,0.0,0.0,0.0,0.0,1.0,1.06,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,56.0,2.0,8.0,25.0,23.0,3.0,56.0,0.0,0.0,0.0,23.0,1.0,1.0,0.0,29.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,3.0,3.0,2.0,60.0
-Musa Barrow,gm GAM,"FW,MF",Bologna,21,1998,38.0,34.0,2921.0,8.0,8.0,0.0,1.0,0.0,0.0,0.25,0.25,0.49,0.25,0.49,7.0,6.2,0.22,0.19,32.5,38.0,6.0,43.2,1.17,0.09,0.21,0.07,1.0,1.8,818.0,1165.0,70.2,13878.0,3584.0,433.0,530.0,81.7,247.0,331.0,74.6,103.0,213.0,48.4,60.0,83.0,31.0,12.0,103.0,1031.0,125.0,32.0,1.0,17.0,138.0,66.0,54.0,5.0,0.0,15.0,9.0,21.0,111.0,3.42,75.0,15.0,9.0,11.0,1.0,11.0,0.34,8.0,2.0,0.0,1.0,0.0,0.0,26.0,10.0,8.0,10.0,8.0,10.0,25.0,40.0,15.0,37.0,2.0,35.0,11.0,15.0,0.0,1559.0,16.0,150.0,652.0,771.0,119.0,1558.0,34.0,71.0,47.9,976.0,88.0,52.0,29.0,1175.0,103.0,53.0,0.0,17.0,32.0,11.0,0.0,0.0,0.0,110.0,23.0,73.0,24.0
-Paolo Bartolomei,it ITA,MF,Spezia,30,1989,6.0,3.0,320.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.28,0.28,0.0,0.28,0.1,0.1,0.04,0.04,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,91.0,124.0,73.4,1413.0,332.0,47.0,53.0,88.7,36.0,44.0,81.8,5.0,19.0,26.3,5.0,9.0,2.0,1.0,10.0,117.0,7.0,1.0,0.0,1.0,13.0,5.0,0.0,4.0,0.0,1.0,0.0,4.0,9.0,2.54,8.0,1.0,0.0,0.0,0.0,2.0,0.56,2.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,3.0,1.0,2.0,4.0,7.0,57.1,3.0,1.0,0.0,1.0,1.0,2.0,0.0,150.0,4.0,24.0,79.0,48.0,9.0,150.0,4.0,6.0,66.7,87.0,8.0,2.0,4.0,110.0,6.0,3.0,0.0,4.0,1.0,0.0,0.0,1.0,0.0,9.0,1.0,1.0,50.0
-Daniele Baselli,it ITA,MF,Torino,28,1992,15.0,3.0,396.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,4.4,2.0,2.0,40.0,0.45,0.0,0.0,0.05,-0.3,-0.3,163.0,217.0,75.1,2989.0,1031.0,78.0,94.0,83.0,51.0,68.0,75.0,29.0,39.0,74.4,9.0,21.0,3.0,0.0,25.0,190.0,24.0,10.0,2.0,2.0,14.0,12.0,5.0,6.0,0.0,0.0,3.0,5.0,14.0,3.17,9.0,4.0,0.0,1.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,3.0,6.0,3.0,6.0,10.0,60.0,4.0,2.0,0.0,2.0,9.0,5.0,0.0,273.0,7.0,49.0,164.0,60.0,5.0,273.0,4.0,7.0,57.1,140.0,7.0,5.0,1.0,155.0,4.0,2.0,0.0,6.0,9.0,0.0,0.0,0.0,0.0,39.0,7.0,7.0,50.0
-Alessandro Bastoni,it ITA,DF,Inter,21,1999,33.0,33.0,2922.0,0.0,3.0,0.0,0.0,6.0,0.0,0.0,0.09,0.09,0.0,0.09,1.0,1.0,0.03,0.03,32.5,1.0,0.0,10.0,0.03,0.0,0.0,0.1,-1.0,-1.0,2065.0,2306.0,89.5,37276.0,10450.0,910.0,952.0,95.6,899.0,961.0,93.5,226.0,315.0,71.7,12.0,150.0,16.0,4.0,146.0,2175.0,124.0,63.0,1.0,24.0,24.0,0.0,0.0,0.0,0.0,32.0,7.0,24.0,41.0,1.26,36.0,0.0,0.0,1.0,2.0,6.0,0.18,6.0,0.0,0.0,0.0,0.0,0.0,36.0,22.0,13.0,21.0,2.0,17.0,27.0,63.0,10.0,34.0,16.0,18.0,40.0,75.0,0.0,2547.0,245.0,931.0,1357.0,278.0,19.0,2547.0,12.0,15.0,80.0,1649.0,70.0,55.0,2.0,1923.0,19.0,6.0,0.0,40.0,28.0,0.0,0.0,0.0,0.0,164.0,48.0,32.0,60.0
-Simone Bastoni,it ITA,DF,Spezia,23,1996,22.0,19.0,1522.0,1.0,7.0,0.0,0.0,7.0,0.0,0.06,0.41,0.47,0.06,0.47,1.2,1.2,0.07,0.07,16.9,4.0,1.0,19.0,0.24,0.05,0.25,0.06,-0.2,-0.2,794.0,1068.0,74.3,13759.0,4837.0,395.0,446.0,88.6,293.0,379.0,77.3,89.0,168.0,53.0,29.0,69.0,27.0,10.0,85.0,862.0,199.0,30.0,0.0,3.0,93.0,34.0,0.0,31.0,0.0,135.0,7.0,35.0,48.0,2.84,28.0,13.0,5.0,2.0,0.0,8.0,0.47,4.0,3.0,1.0,0.0,0.0,0.0,50.0,29.0,26.0,22.0,2.0,27.0,52.0,51.9,25.0,19.0,1.0,18.0,16.0,31.0,0.0,1272.0,41.0,363.0,544.0,382.0,26.0,1272.0,25.0,40.0,62.5,702.0,51.0,41.0,2.0,766.0,28.0,19.0,0.0,35.0,27.0,2.0,0.0,1.0,0.0,122.0,27.0,25.0,51.9
-Bastos,ao ANG,DF,Lazio,29,1991,2.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,41.0,92.7,554.0,152.0,21.0,22.0,95.5,13.0,15.0,86.7,1.0,1.0,100.0,0.0,1.0,2.0,0.0,3.0,39.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.86,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,0.0,1.0,3.0,5.0,60.0,2.0,1.0,0.0,1.0,0.0,3.0,0.0,52.0,5.0,25.0,18.0,9.0,1.0,52.0,2.0,4.0,50.0,38.0,1.0,1.0,0.0,34.0,0.0,3.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,100.0
-Rodrigo Becão,br BRA,DF,Udinese,24,1996,35.0,32.0,2780.0,1.0,0.0,0.0,0.0,5.0,0.0,0.03,0.0,0.03,0.03,0.03,1.3,1.3,0.04,0.04,30.9,3.0,0.0,30.0,0.1,0.1,0.33,0.13,-0.3,-0.3,1173.0,1371.0,85.6,20394.0,7572.0,498.0,547.0,91.0,553.0,612.0,90.4,96.0,158.0,60.8,7.0,80.0,5.0,1.0,98.0,1313.0,54.0,49.0,0.0,5.0,13.0,0.0,0.0,0.0,0.0,5.0,4.0,19.0,25.0,0.81,21.0,0.0,0.0,1.0,1.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,59.0,33.0,36.0,20.0,3.0,27.0,49.0,55.1,22.0,48.0,27.0,21.0,68.0,94.0,2.0,1693.0,215.0,789.0,789.0,125.0,26.0,1693.0,3.0,4.0,75.0,949.0,22.0,19.0,1.0,1074.0,12.0,9.0,0.0,50.0,47.0,0.0,0.0,1.0,0.0,142.0,61.0,36.0,62.9
-Valon Behrami,ch SUI,MF,Genoa,35,1985,26.0,8.0,892.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.05,0.05,9.9,1.0,0.0,25.0,0.1,0.0,0.0,0.12,-0.5,-0.5,162.0,218.0,74.3,2214.0,875.0,90.0,114.0,78.9,51.0,66.0,77.3,8.0,14.0,57.1,2.0,16.0,2.0,1.0,23.0,211.0,6.0,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,7.0,0.71,5.0,0.0,0.0,1.0,1.0,1.0,0.1,0.0,0.0,0.0,0.0,1.0,0.0,21.0,9.0,9.0,10.0,2.0,9.0,26.0,34.6,17.0,13.0,5.0,8.0,9.0,13.0,0.0,310.0,20.0,82.0,169.0,63.0,6.0,310.0,1.0,3.0,33.3,130.0,5.0,4.0,2.0,148.0,7.0,2.0,1.0,28.0,21.0,0.0,1.0,0.0,0.0,41.0,12.0,18.0,40.0
-Andrea Belotti,it ITA,FW,Torino,26,1993,35.0,33.0,2888.0,13.0,6.0,4.0,5.0,4.0,0.0,0.41,0.19,0.59,0.28,0.47,13.7,9.8,0.43,0.3,32.1,35.0,8.0,34.3,1.09,0.09,0.26,0.1,-0.7,-0.8,481.0,716.0,67.2,7066.0,1518.0,272.0,347.0,78.4,137.0,198.0,69.2,39.0,58.0,67.2,37.0,36.0,32.0,4.0,64.0,656.0,56.0,4.0,9.0,11.0,25.0,0.0,0.0,0.0,0.0,2.0,4.0,39.0,123.0,3.83,56.0,2.0,14.0,17.0,31.0,16.0,0.5,6.0,0.0,2.0,3.0,4.0,1.0,30.0,18.0,4.0,16.0,10.0,11.0,35.0,31.4,24.0,27.0,4.0,23.0,12.0,21.0,0.0,1142.0,26.0,80.0,542.0,544.0,147.0,1137.0,47.0,81.0,58.0,688.0,81.0,71.0,27.0,890.0,107.0,41.0,0.0,58.0,135.0,21.0,3.0,1.0,0.0,87.0,81.0,111.0,42.2
-Ahmad Benali,ly LBY,MF,Crotone,28,1992,18.0,15.0,1214.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.07,0.07,0.0,0.07,0.6,0.6,0.04,0.04,13.5,4.0,0.0,40.0,0.3,0.0,0.0,0.06,-0.6,-0.6,662.0,788.0,84.0,10717.0,3005.0,323.0,363.0,89.0,267.0,300.0,89.0,48.0,74.0,64.9,14.0,55.0,10.0,1.0,67.0,736.0,50.0,23.0,0.0,3.0,28.0,19.0,6.0,9.0,0.0,8.0,2.0,13.0,31.0,2.3,22.0,4.0,2.0,0.0,2.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,19.0,11.0,10.0,9.0,0.0,11.0,38.0,28.9,27.0,15.0,2.0,13.0,6.0,15.0,0.0,899.0,40.0,241.0,488.0,178.0,28.0,899.0,9.0,20.0,45.0,512.0,24.0,20.0,5.0,638.0,22.0,11.0,0.0,12.0,16.0,1.0,0.0,0.0,0.0,94.0,10.0,4.0,71.4
-Ismaël Bennacer,dz ALG,MF,Milan,22,1997,21.0,17.0,1326.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.14,0.14,0.0,0.14,0.9,0.9,0.06,0.06,14.7,1.0,0.0,8.3,0.07,0.0,0.0,0.08,-0.9,-0.9,851.0,984.0,86.5,14057.0,4891.0,436.0,465.0,93.8,313.0,344.0,91.0,81.0,121.0,66.9,5.0,105.0,13.0,0.0,82.0,938.0,39.0,31.0,0.0,10.0,10.0,7.0,2.0,3.0,0.0,1.0,7.0,14.0,28.0,1.9,20.0,2.0,1.0,2.0,3.0,7.0,0.47,6.0,0.0,0.0,0.0,1.0,0.0,39.0,18.0,17.0,21.0,1.0,15.0,32.0,46.9,17.0,10.0,1.0,9.0,20.0,12.0,0.0,1140.0,33.0,261.0,749.0,140.0,4.0,1140.0,29.0,36.0,80.6,702.0,20.0,23.0,3.0,798.0,21.0,15.0,0.0,20.0,30.0,0.0,1.0,1.0,0.0,118.0,11.0,21.0,34.4
-Rodrigo Bentancur,uy URU,MF,Juventus,23,1997,33.0,27.0,2324.0,0.0,4.0,0.0,0.0,8.0,1.0,0.0,0.15,0.15,0.0,0.15,0.6,0.6,0.02,0.02,25.8,5.0,0.0,33.3,0.19,0.0,0.0,0.04,-0.6,-0.6,1643.0,1851.0,88.8,28913.0,8319.0,753.0,804.0,93.7,696.0,754.0,92.3,164.0,221.0,74.2,29.0,171.0,14.0,3.0,173.0,1785.0,60.0,40.0,2.0,14.0,25.0,15.0,5.0,6.0,0.0,5.0,6.0,21.0,69.0,2.67,53.0,8.0,1.0,1.0,2.0,11.0,0.43,10.0,0.0,0.0,0.0,0.0,1.0,63.0,33.0,21.0,37.0,5.0,20.0,59.0,33.9,39.0,35.0,12.0,23.0,47.0,46.0,1.0,2127.0,101.0,507.0,1312.0,339.0,15.0,2127.0,35.0,51.0,68.6,1174.0,35.0,41.0,3.0,1503.0,29.0,16.0,1.0,45.0,27.0,2.0,0.0,0.0,0.0,205.0,30.0,21.0,58.8
-Alessandro Berardi,it ITA,GK,Hellas Verona,29,1991,1.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,11.0,54.5,275.0,255.0,0.0,0.0,0.0,1.0,1.0,100.0,5.0,10.0,50.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.21,0.0,1.0,0.0,0.0,0.0,1.0,3.21,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,12.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Domenico Berardi,it ITA,FW,Sassuolo,25,1994,30.0,28.0,2475.0,17.0,7.0,7.0,8.0,4.0,0.0,0.62,0.25,0.87,0.36,0.62,15.0,8.7,0.55,0.32,27.5,32.0,10.0,30.5,1.16,0.1,0.31,0.08,2.0,1.3,984.0,1310.0,75.1,17062.0,4398.0,474.0,543.0,87.3,379.0,472.0,80.3,105.0,206.0,51.0,58.0,72.0,84.0,13.0,164.0,1202.0,102.0,39.0,7.0,11.0,117.0,58.0,30.0,16.0,0.0,5.0,6.0,30.0,151.0,5.49,100.0,15.0,9.0,16.0,8.0,18.0,0.65,11.0,2.0,0.0,3.0,1.0,1.0,42.0,22.0,17.0,11.0,14.0,21.0,62.0,33.9,41.0,23.0,1.0,22.0,26.0,34.0,0.0,1660.0,41.0,193.0,614.0,879.0,121.0,1652.0,30.0,63.0,47.6,1006.0,101.0,59.0,36.0,1213.0,54.0,31.0,0.0,43.0,59.0,2.0,1.0,0.0,0.0,136.0,12.0,32.0,27.3
-Álex Berenguer,es ESP,MF,Torino,25,1995,2.0,2.0,131.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.3,0.3,1.5,2.0,0.0,100.0,1.37,0.0,0.0,0.22,-0.4,-0.4,32.0,47.0,68.1,467.0,122.0,21.0,26.0,80.8,9.0,12.0,75.0,1.0,6.0,16.7,0.0,4.0,1.0,0.0,6.0,42.0,4.0,2.0,2.0,0.0,5.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,3.0,2.06,1.0,0.0,1.0,1.0,0.0,1.0,0.69,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,2.0,5.0,40.0,3.0,2.0,0.0,2.0,0.0,1.0,0.0,63.0,3.0,4.0,32.0,28.0,1.0,63.0,2.0,2.0,100.0,30.0,5.0,3.0,0.0,44.0,3.0,2.0,0.0,2.0,3.0,1.0,0.0,0.0,0.0,5.0,2.0,2.0,50.0
-Bartosz Bereszyński,pl POL,DF,Sampdoria,28,1992,31.0,29.0,2607.0,1.0,0.0,0.0,0.0,2.0,0.0,0.03,0.0,0.03,0.03,0.03,0.2,0.2,0.01,0.01,29.0,1.0,0.0,33.3,0.03,0.33,1.0,0.05,0.8,0.8,1203.0,1496.0,80.4,18103.0,7023.0,665.0,728.0,91.3,420.0,526.0,79.8,69.0,139.0,49.6,8.0,76.0,19.0,6.0,103.0,1218.0,274.0,41.0,0.0,2.0,46.0,0.0,0.0,0.0,0.0,233.0,4.0,26.0,37.0,1.28,27.0,4.0,2.0,1.0,2.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,66.0,44.0,37.0,22.0,7.0,41.0,73.0,56.2,32.0,40.0,20.0,20.0,42.0,88.0,0.0,1788.0,133.0,632.0,809.0,368.0,15.0,1788.0,18.0,33.0,54.5,803.0,42.0,36.0,7.0,958.0,27.0,15.0,0.0,28.0,28.0,0.0,0.0,0.0,0.0,152.0,28.0,33.0,45.9
-Federico Bernardeschi,it ITA,"MF,DF",Juventus,26,1994,27.0,8.0,972.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.19,0.19,0.0,0.19,1.3,1.3,0.12,0.12,10.8,6.0,0.0,46.2,0.56,0.0,0.0,0.1,-1.3,-1.3,447.0,585.0,76.4,7655.0,2210.0,222.0,251.0,88.4,152.0,192.0,79.2,55.0,92.0,59.8,25.0,31.0,14.0,5.0,39.0,501.0,82.0,21.0,1.0,7.0,85.0,36.0,4.0,28.0,0.0,25.0,2.0,19.0,43.0,3.97,23.0,15.0,1.0,1.0,3.0,5.0,0.46,5.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,3.0,5.0,1.0,4.0,20.0,20.0,16.0,6.0,2.0,4.0,14.0,7.0,1.0,707.0,23.0,139.0,277.0,297.0,29.0,707.0,22.0,32.0,68.8,416.0,37.0,26.0,5.0,481.0,27.0,12.0,0.0,13.0,17.0,2.0,0.0,0.0,0.0,64.0,6.0,7.0,46.2
-Marco Bertini,it ITA,MF,Lazio,17,2002,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,37.0,24.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.0,0.0,4.0,1.0,1.0,100.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Daniel Bessa,it ITA,MF,Hellas Verona,27,1993,18.0,4.0,615.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.29,0.29,0.0,0.29,1.0,1.0,0.15,0.15,6.8,4.0,0.0,50.0,0.59,0.0,0.0,0.13,-1.0,-1.0,252.0,299.0,84.3,3680.0,987.0,141.0,150.0,94.0,72.0,86.0,83.7,19.0,31.0,61.3,14.0,26.0,10.0,3.0,35.0,291.0,7.0,4.0,2.0,1.0,16.0,3.0,0.0,3.0,0.0,0.0,1.0,7.0,19.0,2.79,15.0,1.0,1.0,1.0,0.0,3.0,0.44,3.0,0.0,0.0,0.0,0.0,0.0,15.0,8.0,3.0,11.0,1.0,6.0,14.0,42.9,8.0,5.0,1.0,4.0,2.0,0.0,0.0,368.0,3.0,37.0,170.0,163.0,15.0,368.0,3.0,5.0,60.0,247.0,19.0,19.0,4.0,287.0,18.0,12.0,0.0,16.0,6.0,3.0,0.0,0.0,0.0,39.0,2.0,16.0,11.1
-Cristiano Biraghi,it ITA,DF,Fiorentina,27,1992,35.0,31.0,2803.0,1.0,5.0,0.0,0.0,8.0,0.0,0.03,0.16,0.19,0.03,0.19,1.9,1.9,0.06,0.06,31.1,6.0,7.0,24.0,0.19,0.04,0.17,0.07,-0.9,-0.9,1175.0,1735.0,67.7,19485.0,8025.0,580.0,656.0,88.4,414.0,597.0,69.3,124.0,338.0,36.7,49.0,78.0,39.0,27.0,117.0,1313.0,413.0,86.0,0.0,4.0,286.0,85.0,13.0,64.0,1.0,242.0,9.0,50.0,92.0,2.95,44.0,39.0,1.0,3.0,4.0,10.0,0.32,8.0,1.0,0.0,0.0,1.0,0.0,42.0,23.0,19.0,15.0,8.0,27.0,45.0,60.0,18.0,23.0,9.0,14.0,27.0,56.0,3.0,1966.0,87.0,413.0,742.0,828.0,56.0,1966.0,13.0,29.0,44.8,996.0,91.0,52.0,8.0,1166.0,32.0,5.0,0.0,27.0,23.0,4.0,0.0,0.0,0.0,136.0,9.0,19.0,32.1
-Davide Biraschi,it ITA,DF,Genoa,26,1994,13.0,11.0,915.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,405.0,518.0,78.2,7100.0,2588.0,175.0,198.0,88.4,197.0,232.0,84.9,29.0,65.0,44.6,0.0,34.0,6.0,2.0,39.0,449.0,64.0,10.0,0.0,3.0,13.0,0.0,0.0,0.0,0.0,54.0,5.0,10.0,4.0,0.39,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,9.0,12.0,5.0,0.0,5.0,10.0,50.0,5.0,12.0,6.0,6.0,21.0,26.0,0.0,626.0,39.0,247.0,328.0,59.0,4.0,626.0,6.0,15.0,40.0,343.0,9.0,7.0,0.0,384.0,12.0,5.0,0.0,16.0,7.0,0.0,0.0,0.0,0.0,61.0,9.0,14.0,39.1
-Jeremie Boga,ci CIV,"FW,MF",Sassuolo,23,1997,27.0,20.0,1785.0,4.0,2.0,0.0,0.0,0.0,0.0,0.2,0.1,0.3,0.2,0.3,3.6,3.6,0.18,0.18,19.8,15.0,0.0,46.9,0.76,0.13,0.27,0.11,0.4,0.4,675.0,764.0,88.4,8482.0,1189.0,463.0,503.0,92.0,150.0,164.0,91.5,21.0,31.0,67.7,12.0,24.0,17.0,0.0,43.0,742.0,21.0,2.0,0.0,2.0,11.0,9.0,0.0,0.0,0.0,10.0,1.0,14.0,47.0,2.37,29.0,2.0,11.0,2.0,3.0,7.0,0.35,3.0,0.0,2.0,1.0,1.0,0.0,11.0,9.0,5.0,0.0,6.0,3.0,11.0,27.3,8.0,10.0,0.0,10.0,8.0,7.0,0.0,1017.0,21.0,135.0,356.0,547.0,74.0,1017.0,87.0,153.0,56.9,691.0,78.0,71.0,30.0,830.0,57.0,31.0,0.0,9.0,35.0,9.0,0.0,0.0,0.0,69.0,2.0,8.0,20.0
-Giacomo Bonaventura,it ITA,MF,Fiorentina,30,1989,34.0,27.0,2256.0,3.0,2.0,0.0,0.0,5.0,0.0,0.12,0.08,0.2,0.12,0.2,2.7,2.7,0.11,0.11,25.1,11.0,1.0,25.0,0.44,0.07,0.27,0.06,0.3,0.3,761.0,956.0,79.6,12065.0,2575.0,385.0,445.0,86.5,257.0,301.0,85.4,72.0,118.0,61.0,24.0,75.0,25.0,6.0,93.0,912.0,39.0,15.0,1.0,15.0,38.0,16.0,1.0,12.0,0.0,1.0,5.0,25.0,65.0,2.6,47.0,4.0,3.0,3.0,7.0,7.0,0.28,6.0,0.0,0.0,0.0,1.0,0.0,34.0,19.0,16.0,13.0,5.0,16.0,53.0,30.2,37.0,26.0,2.0,24.0,39.0,12.0,0.0,1208.0,32.0,197.0,594.0,443.0,37.0,1208.0,40.0,60.0,66.7,710.0,49.0,48.0,7.0,843.0,36.0,30.0,0.0,39.0,41.0,7.0,1.0,0.0,0.0,139.0,29.0,31.0,48.3
-Federico Bonazzoli,it ITA,FW,Torino,23,1997,20.0,4.0,564.0,2.0,2.0,0.0,0.0,2.0,0.0,0.32,0.32,0.64,0.32,0.64,1.3,1.3,0.21,0.21,6.3,5.0,0.0,23.8,0.8,0.1,0.4,0.06,0.7,0.7,129.0,155.0,83.2,2281.0,245.0,69.0,81.0,85.2,40.0,46.0,87.0,17.0,19.0,89.5,4.0,9.0,3.0,0.0,15.0,136.0,19.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,17.0,2.71,10.0,0.0,2.0,2.0,3.0,4.0,0.64,3.0,0.0,0.0,1.0,0.0,0.0,6.0,4.0,0.0,4.0,2.0,2.0,13.0,15.4,11.0,3.0,0.0,3.0,2.0,3.0,0.0,223.0,3.0,15.0,113.0,100.0,25.0,223.0,8.0,15.0,53.3,130.0,7.0,9.0,3.0,160.0,15.0,8.0,0.0,11.0,19.0,4.0,0.0,0.0,0.0,21.0,4.0,9.0,30.8
-Federico Bonazzoli,it ITA,FW,Sampdoria,23,1997,2.0,2.0,131.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.69,0.69,0.0,0.69,0.2,0.2,0.14,0.14,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,19.0,27.0,70.4,310.0,62.0,7.0,10.0,70.0,9.0,13.0,69.2,2.0,2.0,100.0,2.0,4.0,1.0,0.0,3.0,25.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.06,2.0,0.0,1.0,0.0,0.0,1.0,0.69,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,35.0,0.0,4.0,14.0,19.0,6.0,35.0,2.0,2.0,100.0,19.0,5.0,3.0,1.0,26.0,3.0,3.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0
-Kevin Bonifazi,it ITA,DF,Udinese,24,1996,30.0,28.0,2469.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,1.4,0.05,0.05,27.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-1.4,-1.4,1204.0,1360.0,88.5,22919.0,9010.0,412.0,450.0,91.6,652.0,681.0,95.7,117.0,184.0,63.6,2.0,59.0,3.0,0.0,58.0,1287.0,71.0,64.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,6.0,2.0,9.0,15.0,0.55,11.0,1.0,1.0,1.0,1.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,32.0,21.0,24.0,6.0,2.0,8.0,23.0,34.8,15.0,33.0,20.0,13.0,50.0,85.0,1.0,1613.0,262.0,872.0,678.0,74.0,22.0,1613.0,13.0,16.0,81.3,1020.0,15.0,14.0,2.0,1047.0,19.0,3.0,0.0,26.0,14.0,0.0,0.0,2.0,0.0,164.0,41.0,24.0,63.1
-Leonardo Bonucci,it ITA,DF,Juventus,33,1987,26.0,23.0,2028.0,2.0,0.0,0.0,0.0,4.0,0.0,0.09,0.0,0.09,0.09,0.09,2.5,2.5,0.11,0.11,22.5,3.0,0.0,18.8,0.13,0.13,0.67,0.16,-0.5,-0.5,1363.0,1518.0,89.8,29257.0,11809.0,342.0,360.0,95.0,815.0,855.0,95.3,198.0,275.0,72.0,3.0,91.0,6.0,1.0,89.0,1444.0,68.0,61.0,2.0,11.0,5.0,0.0,0.0,0.0,0.0,1.0,6.0,5.0,10.0,0.44,8.0,1.0,0.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,19.0,14.0,10.0,8.0,1.0,6.0,14.0,42.9,8.0,24.0,13.0,11.0,33.0,67.0,0.0,1702.0,225.0,770.0,875.0,64.0,20.0,1702.0,4.0,5.0,80.0,984.0,6.0,8.0,1.0,1290.0,5.0,2.0,0.0,21.0,16.0,3.0,0.0,2.0,0.0,93.0,34.0,19.0,64.2
-Mehdi Bourabia,ma MAR,MF,Sassuolo,28,1991,15.0,4.0,528.0,1.0,0.0,0.0,0.0,2.0,0.0,0.17,0.0,0.17,0.17,0.17,0.5,0.5,0.09,0.09,5.9,3.0,3.0,33.3,0.51,0.11,0.33,0.06,0.5,0.5,302.0,363.0,83.2,4356.0,951.0,180.0,197.0,91.4,95.0,118.0,80.5,16.0,25.0,64.0,2.0,27.0,2.0,0.0,13.0,349.0,13.0,10.0,0.0,3.0,5.0,2.0,0.0,2.0,0.0,1.0,1.0,4.0,8.0,1.36,5.0,0.0,2.0,0.0,1.0,2.0,0.34,2.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,1.0,4.0,1.0,2.0,7.0,28.6,5.0,14.0,6.0,8.0,12.0,8.0,0.0,444.0,27.0,113.0,257.0,77.0,4.0,444.0,8.0,15.0,53.3,225.0,5.0,11.0,0.0,308.0,9.0,4.0,0.0,15.0,6.0,0.0,0.0,1.0,0.0,43.0,14.0,5.0,73.7
-Edoardo Bove,it ITA,MF,Roma,18,2002,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,11.0,100.0,168.0,51.0,7.0,7.0,100.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.18,1.0,0.0,0.0,0.0,0.0,1.0,8.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,4.0,8.0,0.0,0.0,12.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
-Jayden Braaf,nl NED,FW,Udinese,17,2002,4.0,1.0,116.0,1.0,0.0,0.0,0.0,0.0,0.0,0.78,0.0,0.78,0.78,0.78,0.1,0.1,0.09,0.09,1.3,2.0,0.0,100.0,1.55,0.5,0.5,0.05,0.9,0.9,20.0,28.0,71.4,261.0,45.0,13.0,15.0,86.7,6.0,8.0,75.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,2.0,28.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,3.1,2.0,0.0,1.0,1.0,0.0,1.0,0.78,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,1.0,3.0,15.0,23.0,7.0,41.0,4.0,5.0,80.0,30.0,2.0,0.0,1.0,28.0,6.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,7.0,0.0,5.0,0.0
-Gleison Bremer,br BRA,DF,Torino,23,1997,33.0,33.0,2935.0,5.0,0.0,0.0,0.0,2.0,0.0,0.15,0.0,0.15,0.15,0.15,3.2,3.2,0.1,0.1,32.6,9.0,0.0,34.6,0.28,0.19,0.56,0.12,1.8,1.8,1371.0,1664.0,82.4,26407.0,9709.0,479.0,525.0,91.2,715.0,801.0,89.3,150.0,276.0,54.3,8.0,75.0,2.0,0.0,81.0,1597.0,63.0,60.0,0.0,17.0,2.0,0.0,0.0,0.0,0.0,3.0,4.0,21.0,24.0,0.74,18.0,0.0,1.0,2.0,1.0,1.0,0.03,0.0,0.0,0.0,0.0,1.0,0.0,51.0,34.0,36.0,14.0,1.0,21.0,36.0,58.3,15.0,54.0,21.0,33.0,70.0,142.0,1.0,2059.0,226.0,1048.0,932.0,97.0,41.0,2059.0,6.0,12.0,50.0,1152.0,28.0,17.0,1.0,1250.0,24.0,8.0,0.0,30.0,16.0,0.0,1.0,1.0,0.0,206.0,96.0,65.0,59.6
-Marcelo Brozović,hr CRO,MF,Inter,27,1992,33.0,29.0,2581.0,2.0,6.0,0.0,0.0,9.0,1.0,0.07,0.21,0.28,0.07,0.28,1.0,1.0,0.04,0.04,28.7,4.0,1.0,16.0,0.14,0.08,0.5,0.04,1.0,1.0,2012.0,2297.0,87.6,37385.0,11289.0,802.0,865.0,92.7,927.0,1015.0,91.3,249.0,337.0,73.9,45.0,243.0,43.0,11.0,240.0,2140.0,154.0,84.0,4.0,12.0,86.0,62.0,15.0,29.0,0.0,8.0,3.0,28.0,98.0,3.42,73.0,20.0,2.0,1.0,0.0,11.0,0.38,8.0,2.0,1.0,0.0,0.0,0.0,54.0,29.0,23.0,24.0,7.0,20.0,61.0,32.8,41.0,43.0,17.0,26.0,40.0,38.0,0.0,2549.0,121.0,605.0,1473.0,491.0,8.0,2549.0,10.0,12.0,83.3,1448.0,35.0,48.0,1.0,1887.0,26.0,17.0,1.0,34.0,13.0,0.0,0.0,0.0,0.0,175.0,21.0,28.0,42.9
-Gastón Brugman,uy URU,MF,Parma,27,1992,26.0,21.0,1616.0,1.0,1.0,0.0,0.0,7.0,0.0,0.06,0.06,0.11,0.06,0.11,1.2,1.2,0.06,0.06,18.0,8.0,4.0,44.4,0.45,0.06,0.13,0.06,-0.2,-0.2,925.0,1099.0,84.2,18809.0,5650.0,324.0,360.0,90.0,436.0,492.0,88.6,156.0,213.0,73.2,26.0,90.0,11.0,1.0,111.0,977.0,116.0,67.0,3.0,15.0,56.0,43.0,17.0,11.0,1.0,0.0,6.0,14.0,57.0,3.18,41.0,15.0,0.0,1.0,0.0,6.0,0.33,5.0,1.0,0.0,0.0,0.0,0.0,35.0,19.0,18.0,15.0,2.0,11.0,44.0,25.0,33.0,33.0,4.0,29.0,45.0,34.0,0.0,1288.0,56.0,353.0,749.0,204.0,4.0,1288.0,16.0,19.0,84.2,701.0,22.0,24.0,1.0,831.0,20.0,9.0,0.0,27.0,22.0,1.0,0.0,0.0,0.0,126.0,8.0,8.0,50.0
-Juan Brunetta,ar ARG,"FW,MF",Parma,23,1997,12.0,4.0,475.0,1.0,2.0,0.0,0.0,3.0,0.0,0.19,0.38,0.57,0.19,0.57,0.9,0.9,0.17,0.17,5.3,5.0,1.0,50.0,0.95,0.1,0.2,0.09,0.1,0.1,153.0,191.0,80.1,2900.0,573.0,68.0,77.0,88.3,61.0,71.0,85.9,21.0,30.0,70.0,8.0,13.0,2.0,0.0,20.0,162.0,29.0,8.0,0.0,6.0,24.0,12.0,3.0,9.0,0.0,2.0,0.0,5.0,16.0,3.03,5.0,5.0,2.0,2.0,2.0,2.0,0.38,0.0,2.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,1.0,6.0,16.7,5.0,5.0,0.0,5.0,1.0,2.0,0.0,255.0,1.0,19.0,141.0,99.0,17.0,255.0,13.0,25.0,52.0,166.0,23.0,12.0,3.0,185.0,17.0,8.0,0.0,11.0,16.0,1.0,0.0,0.0,0.0,25.0,3.0,6.0,33.3
-Gianluigi Buffon,it ITA,GK,Juventus,42,1978,8.0,8.0,720.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,259.0,307.0,84.4,5844.0,3805.0,70.0,70.0,100.0,132.0,133.0,99.2,54.0,100.0,54.0,0.0,1.0,0.0,0.0,0.0,236.0,70.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.25,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,321.0,288.0,320.0,1.0,0.0,0.0,321.0,0.0,0.0,0.0,174.0,0.0,0.0,0.0,182.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0
-Alessandro Buongiorno,it ITA,DF,Torino,21,1999,12.0,9.0,858.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,9.5,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.3,-0.3,362.0,436.0,83.0,6290.0,2048.0,138.0,156.0,88.5,196.0,212.0,92.5,21.0,53.0,39.6,1.0,25.0,1.0,1.0,30.0,413.0,23.0,18.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,4.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,5.0,8.0,4.0,0.0,7.0,12.0,58.3,5.0,15.0,9.0,6.0,11.0,44.0,1.0,550.0,69.0,237.0,292.0,22.0,5.0,550.0,3.0,3.0,100.0,312.0,9.0,2.0,0.0,340.0,13.0,2.0,0.0,17.0,11.0,1.0,0.0,0.0,0.0,43.0,22.0,10.0,68.8
-Maxime Busi,be BEL,DF,Parma,20,1999,24.0,11.0,1195.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.5,0.5,0.04,0.04,13.3,2.0,0.0,25.0,0.15,0.0,0.0,0.06,-0.5,-0.5,652.0,786.0,83.0,11221.0,3823.0,322.0,347.0,92.8,245.0,286.0,85.7,65.0,110.0,59.1,7.0,56.0,14.0,8.0,66.0,666.0,116.0,11.0,0.0,5.0,32.0,0.0,0.0,0.0,0.0,105.0,4.0,13.0,22.0,1.66,19.0,0.0,2.0,1.0,0.0,2.0,0.15,1.0,0.0,1.0,0.0,0.0,0.0,23.0,13.0,19.0,3.0,1.0,11.0,28.0,39.3,17.0,14.0,1.0,13.0,16.0,32.0,0.0,937.0,48.0,293.0,470.0,183.0,11.0,937.0,12.0,28.0,42.9,538.0,28.0,13.0,4.0,602.0,21.0,5.0,0.0,23.0,8.0,1.0,0.0,2.0,0.0,74.0,9.0,25.0,26.5
-Martín Cáceres,uy URU,DF,Fiorentina,33,1987,29.0,26.0,2238.0,2.0,2.0,0.0,0.0,4.0,0.0,0.08,0.08,0.16,0.08,0.16,1.7,1.7,0.07,0.07,24.9,6.0,0.0,40.0,0.24,0.13,0.33,0.12,0.3,0.3,818.0,1056.0,77.5,15514.0,5740.0,327.0,382.0,85.6,355.0,414.0,85.7,111.0,194.0,57.2,10.0,90.0,13.0,9.0,104.0,915.0,138.0,47.0,0.0,21.0,45.0,0.0,0.0,0.0,0.0,91.0,3.0,26.0,22.0,0.89,17.0,3.0,0.0,2.0,0.0,3.0,0.12,2.0,0.0,0.0,1.0,0.0,0.0,28.0,12.0,16.0,11.0,1.0,15.0,35.0,42.9,20.0,20.0,14.0,6.0,14.0,52.0,1.0,1224.0,101.0,361.0,641.0,234.0,24.0,1224.0,3.0,8.0,37.5,633.0,26.0,25.0,1.0,749.0,14.0,10.0,0.0,19.0,18.0,0.0,0.0,1.0,0.0,126.0,25.0,24.0,51.0
-Felipe Caicedo,ec ECU,FW,Lazio,31,1988,25.0,9.0,929.0,8.0,0.0,1.0,1.0,5.0,0.0,0.78,0.0,0.78,0.68,0.68,5.5,4.7,0.53,0.45,10.3,11.0,0.0,36.7,1.07,0.23,0.64,0.16,2.5,2.3,185.0,261.0,70.9,2235.0,479.0,128.0,160.0,80.0,33.0,53.0,62.3,7.0,9.0,77.8,12.0,19.0,2.0,0.0,18.0,253.0,7.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,12.0,28.0,2.71,17.0,1.0,5.0,2.0,2.0,2.0,0.19,1.0,0.0,1.0,0.0,0.0,0.0,10.0,7.0,4.0,4.0,2.0,1.0,8.0,12.5,7.0,7.0,0.0,7.0,4.0,2.0,0.0,376.0,5.0,25.0,185.0,171.0,50.0,375.0,9.0,19.0,47.4,206.0,6.0,7.0,2.0,298.0,27.0,6.0,0.0,25.0,17.0,8.0,0.0,0.0,0.0,24.0,26.0,24.0,52.0
-Arturo Calabresi,it ITA,"DF,FW",Bologna,24,1996,1.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,78.0,63.0,1.0,1.0,100.0,1.0,2.0,50.0,1.0,2.0,50.0,0.0,1.0,0.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,3.0,6.0,1.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Arturo Calabresi,it ITA,DF,Cagliari,24,1996,2.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,20.0,75.0,238.0,71.0,8.0,11.0,72.7,7.0,7.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,16.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,1.0,6.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,4.0,5.0,12.0,0.0,21.0,1.0,1.0,100.0,10.0,2.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
-Davide Calabria,it ITA,DF,Milan,23,1996,32.0,30.0,2647.0,2.0,1.0,0.0,0.0,7.0,0.0,0.07,0.03,0.1,0.07,0.1,1.3,1.3,0.04,0.04,29.4,7.0,0.0,29.2,0.24,0.08,0.29,0.05,0.7,0.7,1384.0,1792.0,77.2,24172.0,9372.0,664.0,726.0,91.5,558.0,699.0,79.8,141.0,279.0,50.5,21.0,156.0,33.0,11.0,169.0,1519.0,259.0,38.0,0.0,11.0,69.0,0.0,0.0,0.0,0.0,221.0,14.0,34.0,55.0,1.87,43.0,6.0,4.0,1.0,1.0,6.0,0.2,3.0,2.0,0.0,0.0,1.0,0.0,101.0,64.0,61.0,32.0,8.0,54.0,90.0,60.0,36.0,42.0,9.0,33.0,37.0,82.0,1.0,2139.0,114.0,639.0,1088.0,430.0,34.0,2139.0,20.0,35.0,57.1,999.0,60.0,46.0,7.0,1260.0,29.0,14.0,0.0,31.0,36.0,3.0,1.0,0.0,1.0,191.0,27.0,28.0,49.1
-Riccardo Calafiori,it ITA,DF,Roma,18,2002,3.0,1.0,66.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,45.0,77.8,577.0,189.0,17.0,21.0,81.0,15.0,18.0,83.3,3.0,3.0,100.0,0.0,1.0,0.0,0.0,1.0,35.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,4.0,25.0,3.0,1.0,0.0,1.0,0.0,0.0,0.0,55.0,2.0,21.0,23.0,12.0,0.0,55.0,0.0,1.0,0.0,25.0,2.0,0.0,0.0,30.0,2.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,7.0,2.0,1.0,66.7
-Mattia Caldara,it ITA,DF,Atalanta,26,1994,6.0,1.0,111.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.22,0.22,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.3,-0.3,52.0,59.0,88.1,1106.0,329.0,13.0,15.0,86.7,29.0,29.0,100.0,10.0,12.0,83.3,0.0,4.0,0.0,0.0,4.0,57.0,2.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.81,1.0,0.0,0.0,0.0,0.0,1.0,0.81,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,3.0,2.0,1.0,4.0,3.0,0.0,77.0,6.0,39.0,36.0,4.0,3.0,77.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,37.0,1.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,15.0,6.0,5.0,54.5
-Luca Caldirola,it ITA,DF,Benevento,29,1991,25.0,17.0,1572.0,2.0,0.0,0.0,0.0,6.0,1.0,0.11,0.0,0.11,0.11,0.11,0.9,0.9,0.05,0.05,17.5,3.0,0.0,42.9,0.17,0.29,0.67,0.13,1.1,1.1,681.0,806.0,84.5,13020.0,5025.0,250.0,274.0,91.2,347.0,387.0,89.7,72.0,127.0,56.7,4.0,46.0,4.0,1.0,48.0,735.0,71.0,50.0,0.0,9.0,3.0,0.0,0.0,0.0,0.0,20.0,0.0,4.0,7.0,0.4,6.0,0.0,0.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,13.0,6.0,2.0,10.0,22.0,45.5,12.0,20.0,15.0,5.0,20.0,56.0,0.0,956.0,120.0,496.0,424.0,39.0,14.0,956.0,0.0,0.0,0.0,508.0,18.0,7.0,0.0,592.0,3.0,3.0,1.0,20.0,25.0,1.0,0.0,0.0,0.0,60.0,26.0,25.0,51.0
-Hakan Çalhanoğlu,tr TUR,"MF,FW",Milan,26,1994,33.0,30.0,2614.0,4.0,9.0,1.0,1.0,4.0,0.0,0.14,0.31,0.45,0.1,0.41,4.8,4.0,0.16,0.14,29.0,22.0,16.0,26.8,0.76,0.04,0.14,0.05,-0.8,-1.0,1240.0,1614.0,76.8,21124.0,6728.0,643.0,730.0,88.1,378.0,471.0,80.3,170.0,311.0,54.7,98.0,131.0,57.0,11.0,175.0,1369.0,242.0,67.0,4.0,24.0,221.0,151.0,78.0,56.0,0.0,15.0,3.0,25.0,176.0,6.06,98.0,55.0,1.0,14.0,8.0,19.0,0.65,9.0,8.0,0.0,1.0,1.0,0.0,26.0,7.0,3.0,17.0,6.0,7.0,28.0,25.0,21.0,21.0,6.0,15.0,15.0,24.0,1.0,1936.0,25.0,172.0,865.0,919.0,73.0,1935.0,36.0,59.0,61.0,1062.0,88.0,70.0,21.0,1373.0,76.0,35.0,0.0,29.0,43.0,4.0,1.0,0.0,0.0,141.0,17.0,32.0,34.7
-Fabrizio Caligara,it ITA,"MF,FW",Cagliari,20,2000,10.0,2.0,183.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,58.0,74.1,765.0,234.0,21.0,25.0,84.0,15.0,19.0,78.9,6.0,10.0,60.0,2.0,2.0,1.0,0.0,3.0,53.0,5.0,3.0,0.0,0.0,6.0,1.0,1.0,0.0,0.0,1.0,0.0,3.0,5.0,2.46,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,2.0,2.0,2.0,6.0,9.0,66.7,3.0,9.0,2.0,7.0,3.0,3.0,0.0,87.0,7.0,25.0,35.0,27.0,1.0,87.0,1.0,3.0,33.3,42.0,1.0,2.0,0.0,51.0,5.0,3.0,0.0,10.0,2.0,0.0,0.0,1.0,0.0,9.0,2.0,0.0,100.0
-José Callejón,es ESP,"FW,MF",Fiorentina,33,1987,20.0,6.0,664.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.14,0.14,0.0,0.14,0.4,0.4,0.06,0.06,7.4,1.0,0.0,10.0,0.14,0.0,0.0,0.04,-0.4,-0.4,210.0,279.0,75.3,3471.0,780.0,113.0,127.0,89.0,66.0,93.0,71.0,21.0,29.0,72.4,5.0,17.0,11.0,6.0,25.0,256.0,21.0,6.0,0.0,5.0,28.0,1.0,0.0,1.0,0.0,13.0,2.0,11.0,13.0,1.76,9.0,1.0,0.0,0.0,2.0,2.0,0.27,2.0,0.0,0.0,0.0,0.0,0.0,10.0,7.0,0.0,6.0,4.0,5.0,9.0,55.6,4.0,4.0,1.0,3.0,4.0,5.0,0.0,336.0,8.0,31.0,157.0,152.0,14.0,336.0,6.0,9.0,66.7,173.0,13.0,14.0,0.0,232.0,10.0,6.0,0.0,6.0,12.0,0.0,0.0,0.0,0.0,33.0,9.0,8.0,52.9
-Drissa Camara,ci CIV,MF,Parma,18,2002,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,9.0,77.8,81.0,0.0,7.0,8.0,87.5,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,2.0,7.0,3.0,0.0,12.0,1.0,2.0,50.0,8.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Antonio Candreva,it ITA,MF,Sampdoria,33,1987,35.0,28.0,2505.0,5.0,8.0,2.0,2.0,1.0,0.0,0.18,0.29,0.47,0.11,0.4,4.9,3.4,0.18,0.12,27.8,18.0,4.0,32.7,0.65,0.05,0.17,0.06,0.1,-0.4,1093.0,1640.0,66.6,20366.0,7427.0,548.0,611.0,89.7,336.0,513.0,65.5,180.0,385.0,46.8,63.0,120.0,67.0,24.0,196.0,1405.0,227.0,59.0,2.0,60.0,291.0,106.0,24.0,58.0,0.0,62.0,8.0,66.0,118.0,4.24,71.0,30.0,4.0,8.0,4.0,15.0,0.54,9.0,3.0,0.0,2.0,1.0,0.0,28.0,19.0,17.0,9.0,2.0,21.0,53.0,39.6,32.0,24.0,3.0,21.0,9.0,27.0,1.0,1891.0,45.0,277.0,821.0,817.0,52.0,1889.0,29.0,51.0,56.9,1146.0,122.0,80.0,9.0,1303.0,48.0,11.0,0.0,15.0,29.0,10.0,1.0,0.0,0.0,160.0,3.0,8.0,27.3
-Elio Capradossi,it ITA,DF,Spezia,24,1996,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.29,0.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.29,-0.3,-0.3,37.0,45.0,82.2,596.0,106.0,17.0,21.0,81.0,18.0,21.0,85.7,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,43.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,59.0,15.0,46.0,10.0,3.0,2.0,59.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,35.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,33.3
-Gianluca Caprari,it ITA,"MF,FW",Benevento,27,1993,30.0,23.0,1865.0,5.0,6.0,0.0,1.0,4.0,1.0,0.24,0.29,0.53,0.24,0.53,4.0,3.2,0.19,0.15,20.7,15.0,8.0,31.9,0.72,0.11,0.33,0.07,1.0,1.8,507.0,711.0,71.3,8148.0,2103.0,259.0,309.0,83.8,170.0,225.0,75.6,50.0,119.0,42.0,35.0,38.0,22.0,5.0,65.0,568.0,140.0,33.0,2.0,5.0,106.0,70.0,23.0,39.0,0.0,10.0,3.0,19.0,85.0,4.1,36.0,18.0,12.0,10.0,7.0,9.0,0.43,4.0,4.0,0.0,0.0,0.0,1.0,16.0,11.0,5.0,5.0,6.0,6.0,31.0,19.4,25.0,19.0,1.0,18.0,18.0,8.0,0.0,1000.0,8.0,129.0,418.0,477.0,74.0,999.0,52.0,95.0,54.7,582.0,65.0,40.0,34.0,642.0,71.0,50.0,0.0,23.0,55.0,8.0,1.0,0.0,0.0,129.0,3.0,30.0,9.1
-Francesco Caputo,it ITA,FW,Sassuolo,32,1987,25.0,19.0,1697.0,11.0,5.0,3.0,3.0,1.0,0.0,0.58,0.27,0.85,0.42,0.69,9.9,7.6,0.53,0.4,18.9,16.0,0.0,40.0,0.85,0.2,0.5,0.19,1.1,0.4,317.0,410.0,77.3,3815.0,691.0,203.0,241.0,84.2,79.0,97.0,81.4,4.0,9.0,44.4,16.0,13.0,11.0,0.0,29.0,361.0,49.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,15.0,45.0,2.39,27.0,1.0,3.0,8.0,6.0,7.0,0.37,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,4.0,0.0,4.0,1.0,3.0,0.0,533.0,4.0,28.0,245.0,262.0,95.0,530.0,6.0,14.0,42.9,261.0,12.0,7.0,11.0,437.0,37.0,12.0,0.0,16.0,32.0,19.0,3.0,0.0,0.0,29.0,11.0,16.0,40.7
-Andrea Carboni,it ITA,DF,Cagliari,19,2001,15.0,12.0,1085.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.08,0.08,0.0,0.08,0.4,0.4,0.03,0.03,12.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.4,-0.4,470.0,610.0,77.0,8663.0,2885.0,175.0,200.0,87.5,239.0,291.0,82.1,48.0,99.0,48.5,4.0,40.0,8.0,6.0,40.0,552.0,55.0,19.0,0.0,3.0,22.0,0.0,0.0,0.0,0.0,36.0,3.0,6.0,9.0,0.75,7.0,0.0,0.0,2.0,0.0,2.0,0.17,1.0,0.0,0.0,1.0,0.0,0.0,34.0,23.0,23.0,11.0,0.0,15.0,28.0,53.6,13.0,15.0,4.0,11.0,14.0,52.0,0.0,749.0,71.0,305.0,377.0,75.0,9.0,749.0,3.0,6.0,50.0,379.0,19.0,12.0,3.0,471.0,4.0,2.0,0.0,11.0,6.0,0.0,0.0,0.0,0.0,46.0,16.0,20.0,44.4
-Giuseppe Caso,it ITA,"DF,FW",Genoa,21,1998,2.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,18.0,55.6,133.0,22.0,6.0,8.0,75.0,2.0,3.0,66.7,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.33,1.0,0.0,0.0,0.0,1.0,1.0,1.67,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,0.0,6.0,14.0,8.0,1.0,28.0,2.0,4.0,50.0,20.0,4.0,3.0,1.0,17.0,4.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
-Francesco Cassata,it ITA,"DF,FW",Genoa,23,1997,8.0,2.0,227.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.5,1.0,0.0,100.0,0.4,0.0,0.0,0.03,0.0,0.0,68.0,97.0,70.1,969.0,385.0,36.0,43.0,83.7,26.0,33.0,78.8,2.0,6.0,33.3,1.0,5.0,1.0,0.0,11.0,79.0,18.0,0.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,18.0,0.0,7.0,5.0,1.98,4.0,1.0,0.0,0.0,0.0,1.0,0.4,1.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,7.0,0.0,0.0,4.0,7.0,57.1,3.0,0.0,0.0,0.0,3.0,1.0,0.0,120.0,5.0,39.0,52.0,33.0,0.0,120.0,3.0,3.0,100.0,67.0,3.0,5.0,0.0,64.0,4.0,3.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,16.0,3.0,4.0,42.9
-Samu Castillejo,es ESP,FW,Milan,25,1995,28.0,12.0,1181.0,1.0,0.0,0.0,0.0,5.0,0.0,0.08,0.0,0.08,0.08,0.08,2.5,2.5,0.19,0.19,13.1,7.0,1.0,28.0,0.53,0.04,0.14,0.1,-1.5,-1.5,356.0,451.0,78.9,5632.0,1329.0,183.0,210.0,87.1,122.0,142.0,85.9,32.0,53.0,60.4,10.0,25.0,16.0,5.0,41.0,425.0,24.0,9.0,0.0,5.0,34.0,6.0,1.0,1.0,0.0,9.0,2.0,19.0,34.0,2.59,22.0,2.0,1.0,2.0,7.0,3.0,0.23,2.0,0.0,0.0,0.0,1.0,0.0,24.0,12.0,9.0,14.0,1.0,14.0,40.0,35.0,26.0,21.0,0.0,21.0,6.0,9.0,0.0,614.0,9.0,84.0,274.0,269.0,43.0,614.0,30.0,47.0,63.8,394.0,41.0,30.0,16.0,428.0,21.0,23.0,0.0,25.0,30.0,4.0,1.0,0.0,0.0,78.0,8.0,20.0,28.6
-Gaetano Castrovilli,it ITA,MF,Fiorentina,23,1997,34.0,29.0,2332.0,5.0,3.0,0.0,0.0,8.0,1.0,0.19,0.12,0.31,0.19,0.31,3.0,3.0,0.11,0.11,25.9,13.0,0.0,40.6,0.5,0.16,0.38,0.09,2.0,2.0,573.0,759.0,75.5,8905.0,2696.0,342.0,398.0,85.9,150.0,195.0,76.9,55.0,85.0,64.7,18.0,56.0,33.0,8.0,108.0,726.0,27.0,12.0,0.0,14.0,36.0,5.0,3.0,2.0,0.0,10.0,6.0,32.0,61.0,2.35,47.0,0.0,1.0,0.0,13.0,10.0,0.39,8.0,0.0,1.0,0.0,1.0,0.0,33.0,19.0,15.0,11.0,7.0,11.0,42.0,26.2,31.0,25.0,2.0,23.0,34.0,14.0,0.0,1076.0,30.0,162.0,450.0,477.0,57.0,1076.0,30.0,65.0,46.2,649.0,74.0,54.0,11.0,724.0,67.0,51.0,0.0,41.0,63.0,1.0,0.0,1.0,0.0,136.0,13.0,39.0,25.0
-Danilo Cataldi,it ITA,MF,Lazio,25,1994,19.0,4.0,568.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,6.3,2.0,0.0,33.3,0.32,0.0,0.0,0.06,-0.3,-0.3,351.0,429.0,81.8,5783.0,1975.0,168.0,180.0,93.3,140.0,163.0,85.9,31.0,67.0,46.3,5.0,40.0,7.0,3.0,43.0,387.0,41.0,16.0,1.0,3.0,30.0,19.0,11.0,5.0,0.0,4.0,1.0,5.0,16.0,2.53,13.0,2.0,1.0,0.0,0.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,1.0,5.0,1.0,4.0,18.0,22.2,14.0,3.0,1.0,2.0,9.0,7.0,0.0,466.0,18.0,96.0,268.0,106.0,8.0,466.0,8.0,9.0,88.9,266.0,12.0,9.0,1.0,321.0,6.0,2.0,0.0,9.0,4.0,0.0,0.0,1.0,0.0,64.0,1.0,5.0,16.7
-Federico Ceccherini,it ITA,DF,Hellas Verona,28,1992,25.0,23.0,1738.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,1.3,0.07,0.07,19.3,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-1.3,-1.3,733.0,915.0,80.1,12780.0,4479.0,312.0,363.0,86.0,328.0,390.0,84.1,65.0,111.0,58.6,5.0,63.0,3.0,0.0,69.0,865.0,45.0,33.0,0.0,8.0,6.0,0.0,0.0,0.0,0.0,12.0,5.0,7.0,17.0,0.88,14.0,0.0,0.0,2.0,1.0,2.0,0.1,1.0,0.0,0.0,1.0,0.0,0.0,16.0,12.0,10.0,6.0,0.0,2.0,7.0,28.6,5.0,15.0,8.0,7.0,40.0,60.0,0.0,1110.0,91.0,455.0,563.0,97.0,25.0,1110.0,11.0,15.0,73.3,585.0,17.0,16.0,1.0,648.0,15.0,6.0,0.0,47.0,33.0,1.0,0.0,0.0,0.0,92.0,72.0,42.0,63.2
-Federico Ceccherini,it ITA,DF,Fiorentina,28,1992,3.0,3.0,270.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,99.0,115.0,86.1,1960.0,772.0,36.0,38.0,94.7,48.0,52.0,92.3,15.0,24.0,62.5,0.0,6.0,0.0,0.0,4.0,108.0,7.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,3.0,0.0,1.0,1.0,100.0,0.0,6.0,5.0,1.0,7.0,15.0,0.0,153.0,23.0,96.0,58.0,1.0,1.0,153.0,0.0,0.0,0.0,82.0,0.0,0.0,0.0,82.0,2.0,0.0,0.0,5.0,3.0,0.0,0.0,1.0,1.0,12.0,4.0,4.0,50.0
-Luca Ceppitelli,it ITA,DF,Cagliari,30,1989,19.0,16.0,1465.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.03,0.03,16.3,1.0,0.0,14.3,0.06,0.0,0.0,0.07,-0.5,-0.5,703.0,846.0,83.1,13465.0,4685.0,259.0,297.0,87.2,355.0,386.0,92.0,78.0,135.0,57.8,2.0,53.0,5.0,1.0,51.0,799.0,45.0,33.0,0.0,12.0,11.0,0.0,0.0,0.0,0.0,11.0,2.0,8.0,9.0,0.55,8.0,0.0,0.0,0.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,0.0,25.0,19.0,13.0,10.0,2.0,14.0,26.0,53.8,12.0,23.0,12.0,11.0,25.0,58.0,1.0,989.0,119.0,462.0,472.0,61.0,14.0,989.0,2.0,2.0,100.0,512.0,10.0,3.0,0.0,641.0,9.0,2.0,0.0,15.0,13.0,1.0,0.0,0.0,0.0,77.0,46.0,29.0,61.3
-Alberto Cerri,it ITA,FW,Cagliari,24,1996,23.0,3.0,369.0,1.0,0.0,0.0,0.0,1.0,0.0,0.24,0.0,0.24,0.24,0.24,3.0,3.0,0.74,0.74,4.1,6.0,0.0,37.5,1.46,0.06,0.17,0.19,-2.0,-2.0,88.0,146.0,60.3,1351.0,238.0,42.0,66.0,63.6,33.0,49.0,67.3,6.0,10.0,60.0,7.0,4.0,4.0,0.0,9.0,141.0,5.0,1.0,2.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,20.0,4.85,12.0,0.0,2.0,4.0,2.0,1.0,0.24,0.0,0.0,0.0,1.0,0.0,0.0,3.0,2.0,0.0,2.0,1.0,0.0,5.0,0.0,5.0,4.0,2.0,2.0,2.0,6.0,0.0,216.0,7.0,17.0,77.0,122.0,43.0,216.0,8.0,13.0,61.5,110.0,3.0,2.0,2.0,168.0,15.0,11.0,0.0,18.0,15.0,1.0,0.0,0.0,0.0,12.0,34.0,23.0,59.6
-Julian Chabot,de GER,DF,Spezia,22,1998,25.0,19.0,1655.0,1.0,1.0,0.0,0.0,11.0,1.0,0.05,0.05,0.11,0.05,0.11,0.7,0.7,0.04,0.04,18.4,3.0,0.0,33.3,0.16,0.11,0.33,0.08,0.3,0.3,917.0,1082.0,84.8,19285.0,5922.0,278.0,313.0,88.8,494.0,542.0,91.1,136.0,204.0,66.7,6.0,51.0,1.0,0.0,57.0,1011.0,65.0,57.0,0.0,23.0,2.0,0.0,0.0,0.0,0.0,8.0,6.0,4.0,13.0,0.71,9.0,0.0,1.0,2.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,48.0,34.0,28.0,16.0,4.0,23.0,37.0,62.2,14.0,25.0,13.0,12.0,37.0,43.0,1.0,1268.0,91.0,596.0,653.0,32.0,12.0,1268.0,11.0,11.0,100.0,763.0,11.0,9.0,2.0,813.0,11.0,4.0,1.0,32.0,32.0,0.0,0.0,1.0,0.0,82.0,57.0,33.0,63.3
-Giorgio Chiellini,it ITA,DF,Juventus,35,1984,17.0,16.0,1386.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.06,0.06,0.0,0.06,0.5,0.5,0.03,0.03,15.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,1025.0,1121.0,91.4,20096.0,6505.0,322.0,328.0,98.2,585.0,620.0,94.4,105.0,143.0,73.4,2.0,67.0,2.0,0.0,63.0,1059.0,56.0,40.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,6.0,6.0,3.0,10.0,0.65,7.0,0.0,0.0,2.0,1.0,2.0,0.13,1.0,0.0,0.0,1.0,0.0,0.0,12.0,9.0,9.0,3.0,0.0,5.0,11.0,45.5,6.0,18.0,13.0,5.0,27.0,56.0,0.0,1262.0,158.0,562.0,659.0,44.0,14.0,1262.0,2.0,4.0,50.0,690.0,20.0,14.0,0.0,928.0,5.0,1.0,0.0,19.0,15.0,1.0,1.0,3.0,1.0,66.0,26.0,21.0,55.3
-Federico Chiesa,it ITA,DF,Fiorentina,22,1997,3.0,3.0,240.0,1.0,1.0,0.0,0.0,0.0,0.0,0.37,0.37,0.75,0.37,0.75,0.8,0.8,0.31,0.31,2.7,1.0,0.0,10.0,0.37,0.1,1.0,0.08,0.2,0.2,90.0,116.0,77.6,1603.0,447.0,48.0,56.0,85.7,29.0,36.0,80.6,11.0,17.0,64.7,5.0,5.0,4.0,2.0,8.0,96.0,20.0,3.0,0.0,4.0,11.0,0.0,0.0,0.0,0.0,17.0,0.0,5.0,10.0,3.77,7.0,0.0,2.0,1.0,0.0,1.0,0.38,1.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,2.0,2.0,3.0,8.0,37.5,5.0,3.0,1.0,2.0,1.0,3.0,0.0,158.0,6.0,41.0,41.0,79.0,22.0,158.0,6.0,13.0,46.2,100.0,13.0,5.0,10.0,104.0,5.0,5.0,0.0,2.0,3.0,2.0,0.0,0.0,0.0,10.0,1.0,1.0,50.0
-Federico Chiesa,it ITA,"MF,DF",Juventus,22,1997,30.0,28.0,2210.0,8.0,8.0,0.0,0.0,3.0,1.0,0.33,0.33,0.65,0.33,0.65,6.1,6.1,0.25,0.25,24.6,25.0,0.0,41.7,1.02,0.13,0.32,0.11,1.9,1.9,605.0,798.0,75.8,9899.0,2894.0,305.0,363.0,84.0,224.0,279.0,80.3,55.0,88.0,62.5,45.0,51.0,40.0,14.0,79.0,744.0,51.0,4.0,4.0,6.0,70.0,16.0,5.0,6.0,0.0,31.0,3.0,26.0,89.0,3.63,63.0,6.0,9.0,6.0,3.0,16.0,0.65,10.0,0.0,3.0,1.0,1.0,1.0,47.0,26.0,21.0,14.0,12.0,19.0,50.0,38.0,31.0,23.0,1.0,22.0,12.0,16.0,0.0,1085.0,20.0,146.0,419.0,542.0,109.0,1085.0,48.0,84.0,57.1,642.0,92.0,48.0,40.0,752.0,40.0,23.0,0.0,30.0,36.0,11.0,2.0,0.0,0.0,104.0,6.0,28.0,17.6
-Vlad Chiricheș,ro ROU,DF,Sassuolo,30,1989,24.0,22.0,1837.0,2.0,1.0,0.0,0.0,6.0,0.0,0.1,0.05,0.15,0.1,0.15,1.3,1.3,0.06,0.06,20.4,3.0,0.0,25.0,0.15,0.17,0.67,0.11,0.7,0.7,1505.0,1610.0,93.5,26044.0,8573.0,631.0,661.0,95.5,745.0,778.0,95.8,106.0,131.0,80.9,8.0,66.0,2.0,1.0,67.0,1572.0,37.0,32.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,5.0,1.0,10.0,25.0,1.23,21.0,0.0,1.0,2.0,1.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,0.0,38.0,23.0,34.0,3.0,1.0,21.0,35.0,60.0,14.0,31.0,21.0,10.0,50.0,59.0,2.0,1828.0,216.0,804.0,958.0,77.0,17.0,1828.0,11.0,15.0,73.3,1201.0,10.0,21.0,2.0,1349.0,11.0,5.0,0.0,31.0,14.0,1.0,0.0,0.0,1.0,135.0,52.0,45.0,53.6
-Luca Cigarini,it ITA,MF,Crotone,34,1986,14.0,13.0,929.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,10.3,2.0,3.0,13.3,0.19,0.0,0.0,0.04,-0.6,-0.6,628.0,757.0,83.0,11941.0,4614.0,269.0,289.0,93.1,253.0,295.0,85.8,93.0,135.0,68.9,16.0,89.0,11.0,2.0,90.0,680.0,67.0,48.0,0.0,5.0,24.0,17.0,10.0,2.0,0.0,2.0,10.0,9.0,41.0,3.97,25.0,12.0,0.0,1.0,2.0,3.0,0.29,2.0,0.0,0.0,0.0,1.0,0.0,26.0,14.0,11.0,12.0,3.0,12.0,28.0,42.9,16.0,10.0,1.0,9.0,12.0,9.0,0.0,858.0,31.0,194.0,529.0,141.0,4.0,858.0,8.0,12.0,66.7,443.0,14.0,7.0,2.0,618.0,10.0,10.0,1.0,27.0,18.0,0.0,1.0,0.0,0.0,65.0,9.0,9.0,50.0
-Antonio Cioffi,it ITA,FW,Napoli,17,2002,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,10.0,90.0,117.0,8.0,5.0,5.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,13.0,0.0,3.0,8.0,3.0,0.0,13.0,1.0,1.0,100.0,9.0,0.0,0.0,0.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Ebrima Colley,gm GAM,"MF,FW",Hellas Verona,20,2000,23.0,4.0,734.0,1.0,0.0,0.0,0.0,1.0,0.0,0.12,0.0,0.12,0.12,0.12,1.7,1.7,0.21,0.21,8.2,7.0,0.0,41.2,0.86,0.06,0.14,0.1,-0.7,-0.7,183.0,255.0,71.8,2449.0,447.0,119.0,144.0,82.6,47.0,71.0,66.2,7.0,12.0,58.3,7.0,16.0,6.0,0.0,22.0,249.0,5.0,0.0,1.0,1.0,12.0,0.0,0.0,0.0,0.0,1.0,1.0,10.0,23.0,2.82,17.0,1.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,4.0,2.0,6.0,3.0,3.0,11.0,27.3,8.0,6.0,0.0,6.0,6.0,1.0,0.0,371.0,2.0,27.0,155.0,196.0,34.0,371.0,18.0,31.0,58.1,260.0,28.0,34.0,8.0,301.0,34.0,19.0,0.0,13.0,18.0,7.0,0.0,0.0,0.0,34.0,2.0,36.0,5.3
-Omar Colley,gm GAM,DF,Sampdoria,27,1992,29.0,28.0,2591.0,2.0,0.0,0.0,0.0,6.0,0.0,0.07,0.0,0.07,0.07,0.07,1.1,1.1,0.04,0.04,28.8,3.0,0.0,25.0,0.1,0.17,0.67,0.09,0.9,0.9,1098.0,1360.0,80.7,22524.0,8809.0,323.0,376.0,85.9,596.0,662.0,90.0,160.0,286.0,55.9,2.0,91.0,0.0,0.0,87.0,1308.0,49.0,48.0,0.0,15.0,5.0,0.0,0.0,0.0,0.0,1.0,3.0,6.0,7.0,0.24,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,16.0,19.0,8.0,1.0,13.0,23.0,56.5,10.0,43.0,29.0,14.0,68.0,133.0,1.0,1679.0,232.0,919.0,717.0,53.0,21.0,1679.0,2.0,3.0,66.7,909.0,12.0,8.0,0.0,993.0,8.0,1.0,0.0,34.0,23.0,1.0,0.0,0.0,0.0,151.0,73.0,39.0,65.2
-Simone Colombi,it ITA,GK,Parma,29,1991,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,52.0,73.1,1288.0,1156.0,10.0,10.0,100.0,8.0,9.0,88.9,19.0,32.0,59.4,0.0,0.0,0.0,0.0,0.0,34.0,18.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,58.0,50.0,57.0,1.0,0.0,0.0,58.0,0.0,0.0,0.0,28.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Lorenzo Colombo,it ITA,FW,Milan,18,2002,4.0,1.0,94.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.57,0.57,1.0,1.0,0.0,25.0,0.96,0.0,0.0,0.15,-0.6,-0.6,7.0,13.0,53.8,73.0,25.0,4.0,6.0,66.7,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,13.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.89,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,26.0,2.0,4.0,12.0,11.0,5.0,26.0,1.0,2.0,50.0,13.0,4.0,1.0,1.0,15.0,2.0,1.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,7.0,2.0,4.0,33.3
-Andrea Consigli,it ITA,GK,Sassuolo,33,1987,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1102.0,1358.0,81.1,24274.0,16006.0,418.0,421.0,99.3,397.0,410.0,96.8,274.0,510.0,53.7,0.0,18.0,0.0,0.0,1.0,1023.0,331.0,91.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,0.11,4.0,0.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,14.0,4.0,1464.0,1075.0,1444.0,20.0,0.0,0.0,1464.0,0.0,0.0,0.0,859.0,0.0,0.0,0.0,712.0,1.0,0.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,45.0,16.0,2.0,88.9
-Andrea Conti,it ITA,DF,Milan,26,1994,3.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,24.0,87.5,406.0,122.0,7.0,7.0,100.0,13.0,16.0,81.3,1.0,1.0,100.0,1.0,1.0,1.0,0.0,3.0,21.0,3.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,3.0,9.64,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,29.0,2.0,8.0,17.0,4.0,0.0,29.0,2.0,2.0,100.0,17.0,3.0,1.0,0.0,20.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Andrea Conti,it ITA,DF,Parma,26,1994,11.0,9.0,809.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.06,0.06,9.0,2.0,0.0,40.0,0.22,0.0,0.0,0.1,-0.5,-0.5,373.0,461.0,80.9,6512.0,2536.0,160.0,180.0,88.9,176.0,213.0,82.6,30.0,48.0,62.5,7.0,29.0,10.0,6.0,42.0,371.0,90.0,13.0,0.0,1.0,24.0,1.0,0.0,1.0,0.0,76.0,0.0,12.0,12.0,1.34,11.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,10.0,16.0,4.0,1.0,13.0,26.0,50.0,13.0,13.0,4.0,9.0,16.0,23.0,0.0,556.0,29.0,195.0,269.0,96.0,14.0,556.0,2.0,5.0,40.0,252.0,20.0,12.0,0.0,312.0,6.0,4.0,0.0,15.0,8.0,0.0,0.0,0.0,0.0,36.0,7.0,8.0,46.7
-Alex Cordaz,it ITA,GK,Crotone,37,1983,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1045.0,1441.0,72.5,27128.0,20701.0,263.0,266.0,98.9,447.0,467.0,95.7,330.0,699.0,47.2,1.0,14.0,0.0,0.0,1.0,1021.0,419.0,113.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,0.08,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,2.0,1529.0,1287.0,1521.0,8.0,0.0,0.0,1529.0,1.0,1.0,100.0,841.0,0.0,0.0,0.0,720.0,1.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,49.0,4.0,0.0,100.0
-Andreas Cornelius,dk DEN,FW,Parma,27,1993,29.0,21.0,1898.0,1.0,4.0,0.0,0.0,4.0,0.0,0.05,0.19,0.24,0.05,0.24,2.9,2.9,0.14,0.14,21.1,7.0,0.0,23.3,0.33,0.03,0.14,0.1,-1.9,-1.9,397.0,591.0,67.2,5646.0,961.0,232.0,323.0,71.8,119.0,162.0,73.5,20.0,32.0,62.5,24.0,36.0,9.0,1.0,45.0,545.0,42.0,0.0,2.0,4.0,6.0,0.0,0.0,0.0,0.0,2.0,4.0,18.0,46.0,2.18,38.0,0.0,1.0,3.0,3.0,6.0,0.28,5.0,0.0,0.0,0.0,1.0,0.0,11.0,4.0,1.0,5.0,5.0,2.0,12.0,16.7,10.0,9.0,2.0,7.0,1.0,25.0,1.0,781.0,26.0,66.0,399.0,320.0,90.0,781.0,11.0,19.0,57.9,390.0,12.0,8.0,4.0,625.0,56.0,34.0,0.0,36.0,48.0,15.0,1.0,0.0,0.0,47.0,148.0,83.0,64.1
-Joaquín Correa,ar ARG,FW,Lazio,25,1994,28.0,25.0,1933.0,8.0,3.0,1.0,1.0,3.0,1.0,0.37,0.14,0.51,0.33,0.47,6.9,6.3,0.32,0.3,21.5,22.0,0.0,41.5,1.02,0.13,0.32,0.12,1.1,0.7,579.0,718.0,80.6,8706.0,1673.0,309.0,349.0,88.5,192.0,223.0,86.1,43.0,58.0,74.1,29.0,42.0,22.0,0.0,69.0,669.0,41.0,2.0,3.0,8.0,19.0,15.0,5.0,8.0,0.0,7.0,8.0,24.0,92.0,4.29,60.0,4.0,10.0,8.0,10.0,15.0,0.7,6.0,1.0,4.0,2.0,2.0,0.0,21.0,12.0,6.0,11.0,4.0,7.0,25.0,28.0,18.0,14.0,0.0,14.0,7.0,12.0,0.0,999.0,15.0,55.0,386.0,570.0,142.0,998.0,35.0,84.0,41.7,665.0,66.0,59.0,34.0,824.0,65.0,37.0,1.0,24.0,52.0,4.0,3.0,0.0,0.0,50.0,12.0,20.0,37.5
-Félix Correia,pt POR,MF,Juventus,19,2001,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,8.0,87.5,93.0,28.0,4.0,5.0,80.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,1.0,3.0,2.0,4.0,0.0,9.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Douglas Costa,br BRA,"MF,FW",Juventus,29,1990,2.0,0.0,42.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,25.0,76.0,257.0,65.0,12.0,13.0,92.3,5.0,8.0,62.5,1.0,2.0,50.0,1.0,0.0,0.0,0.0,1.0,21.0,4.0,0.0,0.0,0.0,4.0,4.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,6.43,2.0,1.0,0.0,0.0,0.0,1.0,2.14,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,3.0,33.3,2.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,4.0,17.0,11.0,0.0,31.0,0.0,0.0,0.0,17.0,0.0,1.0,0.0,20.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Angelo da Costa Júnior,br BRA,GK,Bologna,36,1983,6.0,6.0,540.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,248.0,283.0,87.6,5919.0,3779.0,59.0,59.0,100.0,132.0,132.0,100.0,56.0,91.0,61.5,0.0,2.0,0.0,0.0,0.0,224.0,59.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,298.0,251.0,298.0,0.0,0.0,0.0,298.0,0.0,0.0,0.0,171.0,0.0,0.0,0.0,165.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0
-Mamadou Coulibaly,sn SEN,MF,Udinese,21,1999,3.0,2.0,184.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,59.0,80.0,73.8,943.0,252.0,28.0,37.0,75.7,19.0,23.0,82.6,7.0,8.0,87.5,2.0,9.0,3.0,1.0,12.0,80.0,0.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,3.42,5.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,8.0,5.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,110.0,1.0,11.0,63.0,36.0,2.0,110.0,2.0,3.0,66.7,51.0,1.0,0.0,0.0,63.0,6.0,4.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,13.0,0.0,7.0,0.0
-Alessio Cragno,it ITA,GK,Cagliari,26,1994,34.0,34.0,3060.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,671.0,964.0,69.6,18986.0,15706.0,175.0,176.0,99.4,227.0,233.0,97.4,259.0,541.0,47.9,0.0,8.0,0.0,0.0,0.0,597.0,365.0,91.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,0.12,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,10.0,0.0,1048.0,919.0,1041.0,7.0,0.0,0.0,1048.0,0.0,0.0,0.0,482.0,0.0,1.0,1.0,344.0,1.0,0.0,0.0,2.0,5.0,0.0,0.0,2.0,0.0,36.0,8.0,0.0,100.0
-Gian Crespi,it ITA,GK,Crotone,19,2001,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,40.0,87.5,815.0,686.0,11.0,11.0,100.0,14.0,14.0,100.0,9.0,14.0,64.3,0.0,0.0,0.0,0.0,0.0,27.0,13.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,37.0,40.0,0.0,0.0,0.0,40.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Domenico Criscito,it ITA,DF,Genoa,33,1986,23.0,20.0,1726.0,1.0,0.0,1.0,1.0,6.0,0.0,0.05,0.0,0.05,0.0,0.0,0.9,0.1,0.05,0.01,19.2,1.0,0.0,20.0,0.05,0.0,0.0,0.03,0.1,-0.1,872.0,1086.0,80.3,16300.0,6632.0,353.0,390.0,90.5,395.0,454.0,87.0,106.0,199.0,53.3,6.0,89.0,12.0,4.0,83.0,995.0,82.0,48.0,0.0,5.0,27.0,1.0,0.0,1.0,0.0,33.0,9.0,9.0,20.0,1.04,18.0,1.0,0.0,1.0,0.0,1.0,0.05,0.0,0.0,0.0,1.0,0.0,0.0,43.0,22.0,29.0,11.0,3.0,22.0,39.0,56.4,17.0,27.0,14.0,13.0,44.0,51.0,0.0,1279.0,120.0,521.0,639.0,132.0,6.0,1278.0,4.0,8.0,50.0,681.0,39.0,19.0,0.0,792.0,10.0,4.0,0.0,23.0,26.0,0.0,0.0,1.0,0.0,110.0,20.0,26.0,43.5
-Bryan Cristante,it ITA,"DF,MF",Roma,25,1995,34.0,22.0,2155.0,1.0,3.0,0.0,0.0,8.0,0.0,0.04,0.13,0.17,0.04,0.17,2.4,2.4,0.1,0.1,23.9,8.0,1.0,28.6,0.33,0.04,0.13,0.08,-1.4,-1.4,1224.0,1481.0,82.6,25163.0,9483.0,394.0,445.0,88.5,630.0,679.0,92.8,186.0,304.0,61.2,16.0,112.0,21.0,3.0,142.0,1420.0,52.0,48.0,5.0,13.0,12.0,1.0,0.0,0.0,1.0,3.0,9.0,18.0,41.0,1.79,35.0,0.0,1.0,4.0,0.0,8.0,0.35,7.0,0.0,0.0,0.0,0.0,1.0,27.0,20.0,10.0,14.0,3.0,10.0,28.0,35.7,18.0,21.0,7.0,14.0,40.0,61.0,1.0,1694.0,148.0,611.0,926.0,170.0,22.0,1694.0,23.0,27.0,85.2,1016.0,24.0,21.0,1.0,1252.0,19.0,5.0,0.0,31.0,13.0,4.0,0.0,0.0,1.0,141.0,30.0,30.0,50.0
-Giovanni Crociata,it ITA,DF,Crotone,22,1997,2.0,0.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,15.0,73.3,163.0,62.0,7.0,8.0,87.5,4.0,7.0,57.1,0.0,0.0,0.0,1.0,2.0,1.0,0.0,4.0,14.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,3.46,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,21.0,1.0,3.0,8.0,11.0,1.0,21.0,2.0,2.0,100.0,12.0,3.0,1.0,0.0,15.0,3.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Juan Cuadrado,co COL,"DF,MF",Juventus,32,1988,30.0,26.0,2175.0,2.0,10.0,1.0,1.0,9.0,1.0,0.08,0.41,0.5,0.04,0.46,2.3,1.5,0.1,0.06,24.2,6.0,0.0,33.3,0.25,0.06,0.17,0.09,-0.3,-0.5,1466.0,1788.0,82.0,26948.0,7280.0,621.0,685.0,90.7,661.0,743.0,89.0,168.0,290.0,57.9,60.0,94.0,35.0,8.0,132.0,1529.0,247.0,52.0,1.0,32.0,162.0,63.0,21.0,34.0,0.0,132.0,12.0,23.0,116.0,4.8,72.0,25.0,9.0,2.0,7.0,16.0,0.66,9.0,4.0,1.0,0.0,2.0,0.0,43.0,25.0,22.0,15.0,6.0,29.0,60.0,48.3,31.0,16.0,2.0,14.0,43.0,22.0,2.0,2028.0,42.0,426.0,923.0,705.0,71.0,2027.0,45.0,68.0,66.2,1217.0,93.0,68.0,37.0,1492.0,47.0,20.0,0.0,33.0,65.0,3.0,2.0,0.0,0.0,125.0,12.0,21.0,36.4
-Giuseppe Cuomo,it ITA,DF,Crotone,22,1998,13.0,8.0,801.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.2,-0.2,412.0,516.0,79.8,7409.0,2875.0,155.0,175.0,88.6,224.0,249.0,90.0,28.0,71.0,39.4,0.0,15.0,1.0,0.0,44.0,483.0,32.0,18.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,14.0,1.0,11.0,2.0,0.22,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,19.0,17.0,9.0,0.0,9.0,14.0,64.3,5.0,10.0,2.0,8.0,18.0,19.0,1.0,623.0,48.0,314.0,289.0,21.0,4.0,623.0,3.0,9.0,33.3,306.0,6.0,4.0,0.0,378.0,6.0,7.0,0.0,15.0,6.0,0.0,0.0,0.0,0.0,59.0,22.0,6.0,78.6
-Patrick Cutrone,it ITA,FW,Fiorentina,22,1998,11.0,0.0,196.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,2.2,1.0,0.0,33.3,0.46,0.0,0.0,0.05,-0.2,-0.2,39.0,53.0,73.6,433.0,49.0,26.0,32.0,81.3,10.0,13.0,76.9,0.0,3.0,0.0,0.0,1.0,0.0,0.0,2.0,50.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,2.0,1.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,75.0,1.0,2.0,35.0,39.0,7.0,75.0,0.0,0.0,0.0,39.0,1.0,1.0,1.0,57.0,4.0,7.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,5.0,3.0,7.0,30.0
-Wylan Cyprien,fr FRA,MF,Parma,25,1995,13.0,2.0,410.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,4.6,1.0,3.0,16.7,0.22,0.0,0.0,0.04,-0.3,-0.3,248.0,299.0,82.9,4730.0,1033.0,94.0,105.0,89.5,119.0,130.0,91.5,30.0,52.0,57.7,4.0,18.0,3.0,1.0,20.0,272.0,26.0,11.0,0.0,4.0,19.0,15.0,3.0,11.0,0.0,0.0,1.0,2.0,16.0,3.52,11.0,3.0,0.0,0.0,2.0,1.0,0.22,1.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,5.0,3.0,1.0,2.0,4.0,50.0,2.0,13.0,8.0,5.0,5.0,6.0,1.0,345.0,16.0,106.0,185.0,57.0,1.0,345.0,2.0,5.0,40.0,191.0,4.0,3.0,0.0,238.0,5.0,4.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,26.0,5.0,1.0,83.3
-Lennart-Marten Czyborra,de GER,DF,Genoa,21,1999,17.0,15.0,1173.0,1.0,0.0,0.0,0.0,2.0,0.0,0.08,0.0,0.08,0.08,0.08,0.2,0.2,0.02,0.02,13.0,2.0,0.0,40.0,0.15,0.2,0.5,0.04,0.8,0.8,416.0,574.0,72.5,5970.0,2030.0,246.0,282.0,87.2,137.0,200.0,68.5,17.0,54.0,31.5,4.0,18.0,11.0,6.0,26.0,460.0,112.0,5.0,0.0,1.0,27.0,0.0,0.0,0.0,0.0,107.0,2.0,16.0,8.0,0.61,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,10.0,7.0,7.0,5.0,11.0,19.0,57.9,8.0,6.0,1.0,5.0,17.0,27.0,0.0,685.0,35.0,201.0,301.0,185.0,14.0,685.0,5.0,12.0,41.7,326.0,14.0,16.0,1.0,389.0,15.0,7.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,55.0,9.0,18.0,33.3
-Danilo D'Ambrosio,it ITA,DF,Inter,31,1988,19.0,7.0,699.0,3.0,0.0,0.0,0.0,2.0,0.0,0.39,0.0,0.39,0.39,0.39,1.3,1.3,0.16,0.16,7.8,6.0,0.0,75.0,0.77,0.38,0.5,0.16,1.7,1.7,431.0,476.0,90.5,7052.0,2371.0,180.0,191.0,94.2,200.0,210.0,95.2,27.0,37.0,73.0,3.0,35.0,1.0,1.0,35.0,436.0,38.0,19.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,19.0,2.0,6.0,9.0,1.16,5.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,6.0,7.0,2.0,6.0,15.0,40.0,9.0,9.0,7.0,2.0,4.0,15.0,0.0,544.0,51.0,220.0,259.0,66.0,10.0,544.0,4.0,7.0,57.1,326.0,5.0,5.0,0.0,400.0,9.0,3.0,0.0,11.0,11.0,0.0,0.0,0.0,0.0,35.0,10.0,10.0,50.0
-Bryan Dabo,bf BFA,MF,Benevento,28,1992,25.0,12.0,1117.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.06,0.06,12.4,2.0,0.0,16.7,0.16,0.0,0.0,0.06,-0.7,-0.7,437.0,570.0,76.7,7007.0,1927.0,229.0,277.0,82.7,158.0,197.0,80.2,33.0,53.0,62.3,7.0,45.0,8.0,2.0,60.0,553.0,15.0,11.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,4.0,2.0,10.0,23.0,1.85,22.0,0.0,0.0,0.0,1.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,11.0,8.0,5.0,3.0,3.0,5.0,16.0,31.3,11.0,7.0,1.0,6.0,13.0,16.0,0.0,703.0,29.0,127.0,402.0,185.0,21.0,703.0,19.0,29.0,65.5,371.0,25.0,24.0,3.0,478.0,29.0,8.0,0.0,17.0,19.0,1.0,0.0,0.0,0.0,84.0,52.0,19.0,73.2
-Diogo Dalot,pt POR,DF,Milan,21,1999,21.0,10.0,1090.0,1.0,1.0,0.0,0.0,5.0,0.0,0.08,0.08,0.17,0.08,0.17,0.4,0.4,0.03,0.03,12.1,5.0,0.0,50.0,0.41,0.1,0.2,0.04,0.6,0.6,467.0,620.0,75.3,8777.0,3113.0,195.0,224.0,87.1,208.0,270.0,77.0,61.0,102.0,59.8,9.0,44.0,14.0,8.0,39.0,511.0,107.0,7.0,1.0,6.0,34.0,3.0,0.0,1.0,0.0,97.0,2.0,13.0,21.0,1.73,16.0,1.0,2.0,2.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,32.0,17.0,23.0,6.0,3.0,17.0,34.0,50.0,17.0,18.0,5.0,13.0,25.0,42.0,0.0,773.0,54.0,241.0,363.0,177.0,17.0,773.0,9.0,12.0,75.0,347.0,28.0,12.0,7.0,415.0,16.0,4.0,0.0,25.0,4.0,2.0,0.0,0.0,0.0,65.0,21.0,8.0,72.4
-Mikkel Damsgaard,dk DEN,"MF,FW",Sampdoria,20,2000,35.0,18.0,1773.0,2.0,4.0,0.0,0.0,3.0,0.0,0.1,0.2,0.3,0.1,0.3,2.9,2.9,0.15,0.15,19.7,8.0,3.0,32.0,0.41,0.08,0.25,0.12,-0.9,-0.9,512.0,750.0,68.3,7508.0,2431.0,300.0,377.0,79.6,153.0,221.0,69.2,33.0,81.0,40.7,25.0,56.0,22.0,3.0,80.0,704.0,43.0,5.0,0.0,4.0,61.0,23.0,15.0,5.0,0.0,13.0,3.0,27.0,59.0,3.0,44.0,4.0,2.0,4.0,3.0,9.0,0.46,6.0,1.0,2.0,0.0,0.0,0.0,42.0,21.0,14.0,20.0,8.0,22.0,70.0,31.4,48.0,40.0,4.0,36.0,24.0,17.0,0.0,1033.0,15.0,139.0,453.0,468.0,52.0,1033.0,51.0,87.0,58.6,568.0,45.0,40.0,14.0,683.0,54.0,29.0,0.0,26.0,28.0,3.0,0.0,1.0,0.0,108.0,23.0,25.0,47.9
-Danilo,br BRA,"DF,MF",Juventus,29,1991,34.0,32.0,2916.0,1.0,4.0,0.0,0.0,6.0,0.0,0.03,0.12,0.15,0.03,0.15,1.9,1.9,0.06,0.06,32.4,2.0,0.0,10.5,0.06,0.05,0.5,0.1,-0.9,-0.9,2184.0,2479.0,88.1,39579.0,12379.0,873.0,937.0,93.2,1094.0,1196.0,91.5,191.0,271.0,70.5,25.0,220.0,35.0,14.0,240.0,2272.0,201.0,52.0,2.0,16.0,39.0,0.0,0.0,0.0,0.0,149.0,6.0,32.0,66.0,2.04,61.0,1.0,1.0,2.0,1.0,5.0,0.15,5.0,0.0,0.0,0.0,0.0,0.0,62.0,31.0,37.0,16.0,9.0,35.0,66.0,53.0,31.0,32.0,12.0,20.0,66.0,68.0,2.0,2744.0,148.0,843.0,1565.0,364.0,23.0,2744.0,22.0,25.0,88.0,1511.0,59.0,39.0,5.0,2011.0,18.0,9.0,0.0,25.0,20.0,2.0,0.0,0.0,0.0,213.0,30.0,20.0,60.0
-Andrea Danzi,it ITA,DF,Hellas Verona,21,1999,2.0,1.0,104.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,43.0,26.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,3.0,1.0,0.0,7.0,2.0,6.0,1.0,0.0,0.0,7.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Ebrima Darboe,gm GAM,MF,Roma,19,2001,5.0,4.0,323.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,248.0,264.0,93.9,4397.0,1416.0,102.0,107.0,95.3,119.0,123.0,96.7,24.0,27.0,88.9,2.0,26.0,0.0,0.0,23.0,260.0,4.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,10.0,2.78,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,1.0,1.0,3.0,10.0,30.0,7.0,3.0,0.0,3.0,8.0,0.0,1.0,289.0,5.0,65.0,201.0,27.0,0.0,289.0,3.0,4.0,75.0,193.0,3.0,2.0,0.0,212.0,3.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,40.0,2.0,4.0,33.3
-Matteo Darmian,it ITA,DF,Inter,30,1989,26.0,14.0,1160.0,3.0,3.0,0.0,0.0,4.0,0.0,0.23,0.23,0.47,0.23,0.47,1.5,1.5,0.12,0.12,12.9,4.0,0.0,44.4,0.31,0.33,0.75,0.17,1.5,1.5,418.0,515.0,81.2,6743.0,2233.0,225.0,247.0,91.1,158.0,186.0,84.9,27.0,50.0,54.0,10.0,13.0,14.0,8.0,25.0,408.0,102.0,7.0,0.0,1.0,30.0,0.0,0.0,0.0,0.0,95.0,5.0,13.0,30.0,2.33,19.0,5.0,1.0,1.0,2.0,4.0,0.31,3.0,0.0,0.0,0.0,1.0,0.0,30.0,16.0,12.0,7.0,11.0,16.0,28.0,57.1,12.0,9.0,2.0,7.0,17.0,35.0,0.0,634.0,44.0,192.0,217.0,228.0,26.0,634.0,2.0,9.0,22.2,269.0,19.0,7.0,5.0,359.0,7.0,5.0,0.0,21.0,16.0,2.0,1.0,1.0,0.0,42.0,13.0,9.0,59.1
-Matteo Darmian,it ITA,DF,Parma,30,1989,3.0,2.0,208.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,77.0,104.0,74.0,1219.0,368.0,41.0,47.0,87.2,32.0,37.0,86.5,4.0,13.0,30.8,1.0,2.0,0.0,0.0,6.0,81.0,22.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,19.0,1.0,6.0,1.0,0.43,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,3.0,3.0,0.0,4.0,7.0,57.1,3.0,2.0,0.0,2.0,6.0,7.0,0.0,125.0,7.0,57.0,48.0,21.0,0.0,125.0,1.0,1.0,100.0,43.0,1.0,1.0,0.0,70.0,1.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,12.0,2.0,2.0,50.0
-Paweł Dawidowicz,pl POL,DF,Hellas Verona,25,1995,30.0,22.0,1860.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,1.9,0.09,0.09,20.7,4.0,0.0,26.7,0.19,0.0,0.0,0.13,-1.9,-1.9,741.0,901.0,82.2,12832.0,4243.0,326.0,368.0,88.6,344.0,399.0,86.2,61.0,102.0,59.8,5.0,35.0,4.0,0.0,48.0,852.0,45.0,31.0,1.0,4.0,9.0,0.0,0.0,0.0,0.0,14.0,4.0,9.0,15.0,0.73,8.0,0.0,2.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,42.0,28.0,30.0,10.0,2.0,14.0,24.0,58.3,10.0,28.0,19.0,9.0,27.0,62.0,1.0,1111.0,127.0,550.0,463.0,103.0,20.0,1111.0,7.0,9.0,77.8,557.0,12.0,14.0,0.0,589.0,14.0,3.0,0.0,39.0,8.0,2.0,0.0,0.0,0.0,120.0,41.0,51.0,44.6
-Sebastien De Maio,fr FRA,DF,Udinese,33,1987,15.0,9.0,853.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.04,0.04,9.5,1.0,0.0,16.7,0.11,0.0,0.0,0.07,-0.4,-0.4,310.0,368.0,84.2,5849.0,2117.0,106.0,117.0,90.6,166.0,183.0,90.7,31.0,54.0,57.4,0.0,6.0,1.0,0.0,17.0,351.0,16.0,15.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,7.0,0.74,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,10.0,6.0,9.0,0.0,4.0,5.0,80.0,1.0,16.0,9.0,7.0,18.0,41.0,0.0,471.0,62.0,229.0,233.0,13.0,7.0,471.0,0.0,0.0,0.0,240.0,3.0,2.0,1.0,237.0,5.0,2.0,0.0,11.0,3.0,3.0,0.0,0.0,0.0,61.0,25.0,18.0,58.1
-Rodrigo De Paul,ar ARG,MF,Udinese,26,1994,36.0,36.0,3201.0,9.0,9.0,3.0,3.0,5.0,2.0,0.25,0.25,0.51,0.17,0.42,6.2,3.8,0.17,0.11,35.6,19.0,10.0,24.1,0.53,0.08,0.32,0.05,2.8,2.2,1549.0,2134.0,72.6,30867.0,10628.0,597.0,707.0,84.4,639.0,817.0,78.2,267.0,475.0,56.2,82.0,210.0,86.0,24.0,308.0,1813.0,300.0,176.0,12.0,38.0,262.0,111.0,31.0,65.0,0.0,13.0,21.0,38.0,180.0,5.06,104.0,37.0,15.0,9.0,13.0,18.0,0.51,12.0,1.0,2.0,2.0,1.0,0.0,41.0,24.0,17.0,22.0,2.0,15.0,60.0,25.0,45.0,32.0,1.0,31.0,17.0,20.0,1.0,2548.0,21.0,351.0,1257.0,996.0,59.0,2545.0,122.0,182.0,67.0,1675.0,167.0,142.0,21.0,1855.0,93.0,56.0,1.0,33.0,125.0,1.0,0.0,1.0,0.0,208.0,5.0,11.0,31.3
-Mattia De Sciglio,it ITA,DF,Juventus,27,1992,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,0.12,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,9.0,12.0,75.0,126.0,12.0,5.0,6.0,83.3,4.0,4.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,14.0,1.0,4.0,4.0,6.0,1.0,14.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,13.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Lorenzo De Silvestri,it ITA,DF,Bologna,32,1988,29.0,25.0,2143.0,2.0,0.0,0.0,0.0,4.0,0.0,0.08,0.0,0.08,0.08,0.08,2.1,2.1,0.09,0.09,23.8,6.0,0.0,54.5,0.25,0.18,0.33,0.19,-0.1,-0.1,954.0,1283.0,74.4,16287.0,7523.0,441.0,507.0,87.0,406.0,534.0,76.0,87.0,180.0,48.3,13.0,94.0,18.0,9.0,104.0,1061.0,221.0,33.0,0.0,7.0,43.0,0.0,0.0,0.0,0.0,188.0,1.0,27.0,26.0,1.09,20.0,3.0,0.0,1.0,1.0,1.0,0.04,0.0,0.0,0.0,0.0,1.0,0.0,34.0,24.0,18.0,13.0,3.0,16.0,37.0,43.2,21.0,37.0,10.0,27.0,30.0,62.0,3.0,1506.0,90.0,507.0,725.0,285.0,25.0,1506.0,3.0,4.0,75.0,741.0,28.0,21.0,2.0,876.0,13.0,13.0,0.0,42.0,18.0,1.0,0.0,0.0,0.0,97.0,49.0,35.0,58.3
-Grégoire Defrel,mq MTQ,"MF,FW",Sassuolo,29,1991,28.0,14.0,1336.0,3.0,3.0,0.0,0.0,1.0,0.0,0.2,0.2,0.4,0.2,0.4,2.1,2.1,0.14,0.14,14.8,9.0,0.0,40.9,0.61,0.14,0.33,0.1,0.9,0.9,360.0,413.0,87.2,4719.0,942.0,222.0,240.0,92.5,90.0,102.0,88.2,13.0,18.0,72.2,19.0,22.0,11.0,0.0,51.0,397.0,16.0,2.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,37.0,2.49,31.0,1.0,1.0,1.0,3.0,5.0,0.34,4.0,0.0,0.0,0.0,1.0,0.0,13.0,8.0,5.0,5.0,3.0,5.0,13.0,38.5,8.0,9.0,0.0,9.0,7.0,5.0,0.0,549.0,8.0,57.0,244.0,255.0,45.0,549.0,14.0,26.0,53.8,323.0,23.0,23.0,5.0,403.0,33.0,14.0,0.0,14.0,20.0,5.0,0.0,0.0,0.0,41.0,13.0,21.0,38.2
-Alessandro Deiola,it ITA,MF,Spezia,24,1995,12.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,4.0,1.0,1.0,20.0,0.25,0.0,0.0,0.04,-0.2,-0.2,117.0,156.0,75.0,2153.0,449.0,51.0,57.0,89.5,45.0,55.0,81.8,16.0,29.0,55.2,8.0,7.0,0.0,0.0,12.0,146.0,10.0,4.0,0.0,4.0,8.0,5.0,0.0,4.0,0.0,1.0,0.0,6.0,10.0,2.49,7.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,3.0,1.0,5.0,13.0,38.5,8.0,3.0,1.0,2.0,3.0,1.0,0.0,184.0,8.0,35.0,96.0,56.0,7.0,184.0,2.0,2.0,100.0,104.0,3.0,2.0,1.0,122.0,6.0,2.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,21.0,3.0,4.0,42.9
-Alessandro Deiola,it ITA,MF,Cagliari,24,1995,12.0,7.0,615.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,6.8,1.0,0.0,16.7,0.15,0.0,0.0,0.04,-0.2,-0.2,197.0,241.0,81.7,3340.0,872.0,104.0,121.0,86.0,67.0,77.0,87.0,23.0,32.0,71.9,6.0,16.0,3.0,3.0,14.0,240.0,1.0,0.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,13.0,1.9,10.0,0.0,0.0,3.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,13.0,5.0,5.0,4.0,4.0,8.0,23.0,34.8,15.0,7.0,2.0,5.0,11.0,11.0,0.0,310.0,17.0,94.0,160.0,60.0,3.0,310.0,1.0,1.0,100.0,129.0,5.0,2.0,1.0,177.0,7.0,4.0,0.0,12.0,3.0,0.0,0.0,0.0,0.0,44.0,7.0,3.0,70.0
-Lorenzo Del Pinto,it ITA,MF,Benevento,30,1990,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,62.5,65.0,29.0,2.0,3.0,66.7,1.0,2.0,50.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,5.0,0.0,0.0,8.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Cristian Dell'Orco,it ITA,DF,Spezia,26,1994,8.0,2.0,262.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,112.0,143.0,78.3,2023.0,655.0,50.0,55.0,90.9,50.0,58.0,86.2,11.0,24.0,45.8,0.0,4.0,0.0,0.0,6.0,121.0,22.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,16.0,0.0,2.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,3.0,33.3,2.0,8.0,5.0,3.0,7.0,9.0,1.0,171.0,20.0,77.0,79.0,18.0,2.0,171.0,0.0,0.0,0.0,72.0,2.0,2.0,0.0,90.0,3.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,17.0,7.0,5.0,58.3
-Merih Demiral,tr TUR,DF,Juventus,22,1998,15.0,10.0,940.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.1,0.1,0.0,0.1,0.5,0.5,0.04,0.04,10.4,2.0,0.0,33.3,0.19,0.0,0.0,0.08,-0.5,-0.5,587.0,625.0,93.9,10490.0,3345.0,209.0,219.0,95.4,333.0,343.0,97.1,38.0,52.0,73.1,4.0,20.0,0.0,0.0,22.0,605.0,20.0,15.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,9.0,0.86,6.0,1.0,0.0,2.0,0.0,1.0,0.1,0.0,0.0,0.0,1.0,0.0,0.0,12.0,9.0,8.0,4.0,0.0,5.0,13.0,38.5,8.0,16.0,9.0,7.0,21.0,40.0,0.0,735.0,95.0,388.0,326.0,25.0,10.0,735.0,2.0,4.0,50.0,378.0,2.0,3.0,0.0,535.0,3.0,2.0,0.0,11.0,1.0,2.0,0.0,1.0,0.0,32.0,22.0,11.0,66.7
-Diego Demme,de GER,MF,Napoli,28,1991,24.0,20.0,1590.0,2.0,3.0,0.0,0.0,6.0,0.0,0.11,0.17,0.28,0.11,0.28,1.2,1.2,0.07,0.07,17.7,6.0,0.0,42.9,0.34,0.14,0.33,0.08,0.8,0.8,1110.0,1254.0,88.5,17972.0,4107.0,572.0,604.0,94.7,413.0,456.0,90.6,94.0,125.0,75.2,20.0,119.0,15.0,1.0,117.0,1225.0,23.0,22.0,2.0,5.0,5.0,0.0,0.0,0.0,0.0,1.0,6.0,22.0,34.0,1.92,31.0,0.0,0.0,0.0,0.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,0.0,56.0,32.0,26.0,22.0,8.0,23.0,63.0,36.5,40.0,14.0,1.0,13.0,11.0,15.0,1.0,1412.0,47.0,280.0,894.0,247.0,21.0,1412.0,7.0,14.0,50.0,887.0,27.0,31.0,2.0,1084.0,14.0,18.0,0.0,33.0,28.0,1.0,0.0,0.0,0.0,113.0,5.0,16.0,23.8
-Stefano Denswil,nl NED,DF,Bologna,27,1993,5.0,1.0,115.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,64.0,82.0,78.0,1314.0,454.0,19.0,24.0,79.2,35.0,37.0,94.6,9.0,14.0,64.3,0.0,6.0,1.0,0.0,6.0,73.0,9.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,6.0,2.0,1.57,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,89.0,2.0,38.0,36.0,15.0,0.0,89.0,0.0,0.0,0.0,49.0,1.0,1.0,0.0,58.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,75.0
-Fabio Depaoli,it ITA,DF,Benevento,23,1997,15.0,14.0,1120.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,12.4,2.0,0.0,25.0,0.16,0.0,0.0,0.04,-0.3,-0.3,290.0,411.0,70.6,5133.0,2761.0,131.0,154.0,85.1,121.0,154.0,78.6,31.0,69.0,44.9,8.0,21.0,13.0,7.0,34.0,330.0,78.0,9.0,1.0,6.0,23.0,0.0,0.0,0.0,0.0,69.0,3.0,17.0,15.0,1.21,9.0,2.0,1.0,3.0,0.0,1.0,0.08,0.0,0.0,0.0,1.0,0.0,0.0,25.0,13.0,15.0,6.0,4.0,15.0,32.0,46.9,17.0,16.0,4.0,12.0,12.0,38.0,0.0,544.0,49.0,216.0,221.0,114.0,11.0,544.0,5.0,9.0,55.6,232.0,4.0,9.0,1.0,266.0,10.0,7.0,0.0,17.0,8.0,1.0,0.0,0.0,1.0,45.0,12.0,14.0,46.2
-Fabio Depaoli,it ITA,MF,Sampdoria,23,1997,2.0,1.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.9,1.0,0.0,50.0,1.17,0.0,0.0,0.05,-0.1,-0.1,10.0,16.0,62.5,158.0,80.0,7.0,10.0,70.0,1.0,2.0,50.0,2.0,2.0,100.0,1.0,2.0,0.0,0.0,2.0,15.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.34,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,25.0,1.0,1.0,6.0,19.0,3.0,25.0,1.0,1.0,100.0,15.0,2.0,1.0,1.0,17.0,4.0,0.0,0.0,5.0,2.0,2.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Fabio Depaoli,it ITA,DF,Atalanta,23,1997,5.0,3.0,191.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,81.0,99.0,81.8,1070.0,445.0,51.0,56.0,91.1,22.0,26.0,84.6,3.0,6.0,50.0,3.0,4.0,0.0,0.0,8.0,86.0,12.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,12.0,1.0,4.0,3.0,1.41,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,1.0,2.0,1.0,2.0,50.0,1.0,4.0,0.0,4.0,3.0,2.0,0.0,125.0,2.0,17.0,61.0,47.0,4.0,125.0,1.0,2.0,50.0,59.0,3.0,3.0,0.0,82.0,5.0,3.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,9.0,2.0,3.0,40.0
-Kastriot Dermaku,al ALB,"DF,MF",Parma,28,1992,2.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,40.0,87.5,693.0,193.0,8.0,9.0,88.9,24.0,26.0,92.3,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,38.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,2.0,8.0,0.0,53.0,15.0,34.0,19.0,0.0,0.0,53.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,31.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Kiril Despodov,bg BUL,FW,Cagliari,23,1996,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,1.0,3.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Mattia Destro,it ITA,FW,Genoa,29,1991,29.0,22.0,1606.0,11.0,1.0,0.0,0.0,5.0,0.0,0.62,0.06,0.67,0.62,0.67,6.2,6.2,0.35,0.35,17.8,22.0,0.0,59.5,1.23,0.3,0.5,0.17,4.8,4.8,187.0,275.0,68.0,2422.0,442.0,118.0,160.0,73.8,37.0,59.0,62.7,10.0,17.0,58.8,7.0,10.0,3.0,1.0,13.0,249.0,26.0,0.0,1.0,5.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,17.0,0.95,9.0,0.0,4.0,2.0,1.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,0.0,3.0,3.0,2.0,9.0,22.2,7.0,11.0,0.0,11.0,4.0,8.0,0.0,456.0,10.0,37.0,236.0,191.0,79.0,456.0,24.0,52.0,46.2,280.0,22.0,11.0,12.0,346.0,44.0,20.0,0.0,39.0,37.0,22.0,0.0,0.0,0.0,40.0,34.0,61.0,35.8
-Gerard Deulofeu,es ESP,"FW,MF",Udinese,26,1994,13.0,7.0,598.0,1.0,1.0,0.0,0.0,0.0,0.0,0.15,0.15,0.3,0.15,0.3,1.4,1.4,0.21,0.21,6.6,9.0,1.0,52.9,1.35,0.06,0.11,0.08,-0.4,-0.4,166.0,248.0,66.9,2299.0,622.0,97.0,122.0,79.5,50.0,70.0,71.4,9.0,24.0,37.5,7.0,10.0,12.0,1.0,27.0,219.0,29.0,2.0,2.0,0.0,30.0,18.0,9.0,4.0,0.0,6.0,0.0,14.0,20.0,3.01,15.0,1.0,1.0,0.0,3.0,4.0,0.6,2.0,0.0,1.0,0.0,1.0,0.0,2.0,2.0,1.0,1.0,0.0,2.0,12.0,16.7,10.0,2.0,0.0,2.0,3.0,0.0,0.0,322.0,2.0,22.0,94.0,209.0,46.0,322.0,9.0,21.0,42.9,220.0,34.0,11.0,21.0,235.0,21.0,10.0,0.0,7.0,6.0,11.0,1.0,0.0,0.0,29.0,0.0,5.0,0.0
-Jacopo Dezi,it ITA,"FW,MF",Parma,28,1992,2.0,1.0,79.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,33.0,44.0,75.0,455.0,90.0,19.0,20.0,95.0,11.0,16.0,68.8,2.0,6.0,33.3,1.0,2.0,1.0,0.0,5.0,36.0,8.0,0.0,1.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.28,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,2.0,2.0,3.0,6.0,50.0,3.0,2.0,0.0,2.0,0.0,0.0,0.0,55.0,0.0,6.0,27.0,22.0,2.0,55.0,0.0,0.0,0.0,24.0,0.0,2.0,0.0,37.0,3.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0
-Samuel Di Carmine,it ITA,FW,Hellas Verona,31,1988,11.0,6.0,500.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,1.4,0.3,0.3,5.6,2.0,0.0,22.2,0.36,0.0,0.0,0.23,-1.4,-1.4,81.0,134.0,60.4,928.0,95.0,51.0,74.0,68.9,21.0,39.0,53.8,2.0,2.0,100.0,4.0,4.0,2.0,0.0,7.0,126.0,8.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,14.0,2.98,8.0,0.0,0.0,2.0,4.0,2.0,0.43,1.0,0.0,0.0,1.0,0.0,0.0,1.0,2.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,1.0,0.0,1.0,0.0,5.0,0.0,169.0,5.0,10.0,80.0,80.0,22.0,169.0,2.0,3.0,66.7,95.0,10.0,4.0,3.0,154.0,14.0,13.0,0.0,16.0,20.0,6.0,0.0,0.0,0.0,12.0,25.0,21.0,54.3
-Samuel Di Carmine,it ITA,FW,Crotone,31,1988,11.0,6.0,475.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.1,0.1,5.3,1.0,0.0,16.7,0.19,0.0,0.0,0.09,-0.5,-0.5,74.0,97.0,76.3,1058.0,116.0,37.0,44.0,84.1,23.0,32.0,71.9,5.0,6.0,83.3,0.0,3.0,3.0,0.0,10.0,85.0,12.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,0.76,0.0,0.0,0.0,0.0,4.0,2.0,0.38,0.0,0.0,0.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,1.0,1.0,3.0,33.3,2.0,2.0,0.0,2.0,0.0,5.0,0.0,140.0,5.0,13.0,78.0,49.0,9.0,140.0,0.0,2.0,0.0,81.0,5.0,3.0,1.0,114.0,8.0,5.0,0.0,5.0,15.0,0.0,1.0,0.0,0.0,12.0,15.0,15.0,50.0
-Giovanni Di Lorenzo,it ITA,DF,Napoli,26,1993,36.0,36.0,3240.0,3.0,6.0,0.0,0.0,11.0,0.0,0.08,0.17,0.25,0.08,0.25,3.8,3.8,0.11,0.11,36.0,12.0,0.0,42.9,0.33,0.11,0.25,0.14,-0.8,-0.8,2228.0,2586.0,86.2,34895.0,12760.0,1197.0,1283.0,93.3,829.0,932.0,88.9,142.0,215.0,66.0,48.0,227.0,61.0,13.0,259.0,2187.0,395.0,74.0,2.0,10.0,72.0,0.0,0.0,0.0,0.0,321.0,4.0,54.0,116.0,3.22,94.0,6.0,7.0,3.0,5.0,18.0,0.5,12.0,1.0,2.0,1.0,2.0,0.0,79.0,50.0,54.0,21.0,4.0,43.0,75.0,57.3,32.0,37.0,13.0,24.0,35.0,64.0,1.0,2917.0,118.0,795.0,1438.0,714.0,82.0,2917.0,30.0,54.0,55.6,1819.0,104.0,59.0,13.0,2038.0,31.0,16.0,0.0,49.0,60.0,3.0,1.0,1.0,0.0,177.0,55.0,40.0,57.9
-Alessandro Di Pardo,it ITA,"FW,DF",Juventus,21,1999,4.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,7.0,57.1,44.0,12.0,4.0,4.0,100.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,2.0,12.86,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,9.0,1.0,3.0,5.0,1.0,0.0,9.0,2.0,2.0,100.0,5.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Giuseppe Di Serio,it ITA,"FW,MF",Benevento,19,2001,16.0,1.0,292.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.2,0.2,3.2,2.0,0.0,50.0,0.62,0.0,0.0,0.16,-0.6,-0.6,55.0,74.0,74.3,728.0,219.0,25.0,30.0,83.3,21.0,24.0,87.5,2.0,5.0,40.0,1.0,2.0,3.0,0.0,10.0,71.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,8.0,2.47,5.0,0.0,0.0,2.0,1.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,0.0,4.0,0.0,4.0,5.0,0.0,5.0,0.0,4.0,0.0,106.0,3.0,14.0,41.0,53.0,10.0,106.0,6.0,6.0,100.0,66.0,9.0,5.0,3.0,86.0,10.0,12.0,0.0,13.0,17.0,2.0,0.0,0.0,0.0,12.0,7.0,17.0,29.2
-Amad Diallo,ci CIV,MF,Atalanta,18,2002,1.0,0.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.19,0.19,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,9.0,10.0,90.0,159.0,63.0,5.0,5.0,100.0,3.0,4.0,75.0,1.0,1.0,100.0,1.0,2.0,1.0,0.0,3.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,12.86,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,0.0,9.0,5.0,1.0,14.0,0.0,2.0,0.0,13.0,1.0,1.0,0.0,14.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
-Amadou Diambo,gh GHA,FW,Benevento,19,2001,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,7.0,100.0,88.0,18.0,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,5.0,3.0,0.0,8.0,2.0,2.0,100.0,8.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Amadou Diawara,gn GUI,MF,Roma,23,1997,18.0,7.0,658.0,1.0,0.0,0.0,0.0,4.0,1.0,0.14,0.0,0.14,0.14,0.14,0.9,0.9,0.14,0.14,7.3,4.0,0.0,57.1,0.55,0.14,0.25,0.18,0.1,0.1,362.0,403.0,89.8,6789.0,1675.0,138.0,144.0,95.8,178.0,200.0,89.0,42.0,50.0,84.0,1.0,35.0,2.0,0.0,39.0,397.0,6.0,4.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,7.0,1.1,7.0,0.0,0.0,0.0,0.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,0.0,10.0,8.0,4.0,6.0,0.0,2.0,8.0,25.0,6.0,11.0,2.0,9.0,12.0,4.0,0.0,457.0,19.0,114.0,297.0,48.0,3.0,457.0,5.0,5.0,100.0,273.0,7.0,5.0,1.0,327.0,8.0,2.0,1.0,17.0,4.0,0.0,0.0,0.0,0.0,43.0,3.0,3.0,50.0
-Brahim Díaz,es ESP,"MF,FW",Milan,20,1999,27.0,15.0,1228.0,4.0,3.0,0.0,0.0,2.0,0.0,0.29,0.22,0.51,0.29,0.51,3.4,3.4,0.25,0.25,13.6,8.0,0.0,30.8,0.59,0.15,0.5,0.13,0.6,0.6,415.0,488.0,85.0,5535.0,1169.0,242.0,267.0,90.6,113.0,130.0,86.9,22.0,36.0,61.1,20.0,28.0,11.0,2.0,43.0,456.0,29.0,6.0,1.0,0.0,16.0,15.0,6.0,3.0,0.0,3.0,3.0,8.0,48.0,3.51,29.0,5.0,3.0,3.0,8.0,10.0,0.73,7.0,1.0,1.0,0.0,1.0,0.0,18.0,10.0,7.0,7.0,4.0,10.0,23.0,43.5,13.0,10.0,0.0,10.0,2.0,2.0,0.0,650.0,3.0,48.0,308.0,308.0,51.0,650.0,25.0,50.0,50.0,383.0,43.0,41.0,8.0,491.0,43.0,24.0,0.0,14.0,29.0,0.0,1.0,0.0,0.0,56.0,4.0,27.0,12.9
-Daan Dierckx,be BEL,DF,Parma,17,2003,7.0,6.0,471.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,185.0,211.0,87.7,4118.0,1261.0,38.0,43.0,88.4,119.0,124.0,96.0,28.0,43.0,65.1,0.0,9.0,1.0,0.0,8.0,206.0,5.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,5.0,0.0,0.0,3.0,5.0,60.0,2.0,10.0,6.0,4.0,13.0,21.0,0.0,262.0,41.0,140.0,121.0,3.0,1.0,262.0,0.0,0.0,0.0,160.0,1.0,1.0,1.0,175.0,2.0,0.0,0.0,5.0,0.0,1.0,0.0,0.0,0.0,16.0,4.0,9.0,30.8
-Mitchell Dijks,nl NED,DF,Bologna,27,1993,20.0,18.0,1481.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.0,0.0,16.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,602.0,794.0,75.8,8969.0,4150.0,332.0,385.0,86.2,223.0,290.0,76.9,26.0,65.0,40.0,6.0,41.0,4.0,2.0,59.0,635.0,159.0,8.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,151.0,0.0,23.0,19.0,1.15,14.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,15.0,5.0,1.0,12.0,21.0,57.1,9.0,17.0,2.0,15.0,17.0,35.0,0.0,983.0,47.0,328.0,393.0,272.0,18.0,983.0,19.0,57.0,33.3,517.0,41.0,29.0,8.0,587.0,17.0,7.0,1.0,32.0,15.0,1.0,0.0,1.0,0.0,85.0,13.0,14.0,48.1
-Federico Dimarco,it ITA,DF,Hellas Verona,22,1997,35.0,29.0,2613.0,5.0,3.0,0.0,0.0,6.0,0.0,0.17,0.1,0.28,0.17,0.28,2.8,2.8,0.1,0.1,29.0,12.0,6.0,31.6,0.41,0.13,0.42,0.08,2.2,2.2,1298.0,1859.0,69.8,23419.0,9704.0,600.0,675.0,88.9,507.0,659.0,76.9,164.0,423.0,38.8,72.0,135.0,32.0,16.0,172.0,1472.0,378.0,112.0,0.0,17.0,262.0,119.0,38.0,74.0,0.0,147.0,9.0,43.0,117.0,4.17,51.0,54.0,3.0,5.0,4.0,6.0,0.21,5.0,1.0,0.0,0.0,0.0,0.0,32.0,19.0,23.0,7.0,2.0,13.0,28.0,46.4,15.0,18.0,9.0,9.0,47.0,50.0,1.0,2068.0,93.0,543.0,902.0,666.0,59.0,2068.0,10.0,19.0,52.6,1066.0,61.0,44.0,7.0,1232.0,26.0,9.0,0.0,32.0,50.0,6.0,0.0,1.0,0.0,192.0,15.0,27.0,35.7
-Koffi Djidji,ci CIV,DF,Crotone,27,1992,20.0,16.0,1524.0,1.0,0.0,0.0,0.0,4.0,0.0,0.06,0.0,0.06,0.06,0.06,0.3,0.3,0.02,0.02,16.9,2.0,0.0,50.0,0.12,0.25,0.5,0.07,0.7,0.7,606.0,757.0,80.1,10623.0,4354.0,259.0,289.0,89.6,286.0,330.0,86.7,49.0,105.0,46.7,4.0,42.0,2.0,0.0,56.0,679.0,76.0,22.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,54.0,2.0,11.0,9.0,0.53,9.0,0.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,39.0,28.0,30.0,8.0,1.0,10.0,20.0,50.0,10.0,35.0,20.0,15.0,28.0,73.0,0.0,963.0,116.0,478.0,441.0,49.0,5.0,963.0,7.0,11.0,63.6,485.0,17.0,13.0,0.0,538.0,13.0,10.0,0.0,22.0,2.0,1.0,0.0,0.0,0.0,85.0,27.0,22.0,55.1
-Berat Djimsiti,al ALB,DF,Atalanta,27,1993,33.0,28.0,2625.0,0.0,3.0,0.0,0.0,8.0,0.0,0.0,0.1,0.1,0.0,0.1,1.7,1.7,0.06,0.06,29.2,1.0,0.0,5.0,0.03,0.0,0.0,0.09,-1.7,-1.7,1568.0,1798.0,87.2,25553.0,8946.0,777.0,845.0,92.0,634.0,706.0,89.8,113.0,166.0,68.1,21.0,135.0,23.0,2.0,150.0,1706.0,91.0,40.0,0.0,10.0,9.0,0.0,0.0,0.0,0.0,51.0,1.0,17.0,40.0,1.37,32.0,2.0,1.0,5.0,0.0,7.0,0.24,4.0,1.0,0.0,2.0,0.0,0.0,41.0,29.0,27.0,12.0,2.0,17.0,34.0,50.0,17.0,34.0,20.0,14.0,62.0,89.0,1.0,2093.0,161.0,737.0,1051.0,318.0,49.0,2093.0,10.0,13.0,76.9,1209.0,42.0,52.0,5.0,1367.0,25.0,9.0,0.0,31.0,26.0,1.0,0.0,0.0,0.0,192.0,76.0,31.0,71.0
-Nicolás Domínguez,ar ARG,MF,Bologna,22,1998,28.0,15.0,1255.0,1.0,0.0,0.0,0.0,8.0,0.0,0.07,0.0,0.07,0.07,0.07,1.2,1.2,0.08,0.08,13.9,5.0,0.0,27.8,0.36,0.06,0.2,0.06,-0.2,-0.2,614.0,716.0,85.8,10181.0,3198.0,303.0,340.0,89.1,240.0,275.0,87.3,48.0,64.0,75.0,19.0,69.0,11.0,2.0,72.0,679.0,33.0,29.0,1.0,3.0,11.0,0.0,0.0,0.0,0.0,3.0,4.0,7.0,48.0,3.44,34.0,1.0,3.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,48.0,28.0,26.0,17.0,5.0,15.0,37.0,40.5,22.0,26.0,7.0,19.0,24.0,20.0,0.0,893.0,49.0,224.0,491.0,191.0,21.0,893.0,9.0,9.0,100.0,423.0,21.0,14.0,3.0,524.0,24.0,14.0,0.0,23.0,15.0,1.0,0.0,1.0,0.0,113.0,20.0,22.0,47.6
-Gianluigi Donnarumma,it ITA,GK,Milan,21,1999,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,979.0,1232.0,79.5,23908.0,17284.0,266.0,266.0,100.0,445.0,451.0,98.7,264.0,506.0,52.2,0.0,9.0,0.0,0.0,1.0,957.0,271.0,64.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,8.0,0.22,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,23.0,2.0,1321.0,1043.0,1314.0,9.0,0.0,0.0,1321.0,1.0,1.0,100.0,762.0,0.0,0.0,0.0,670.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,60.0,8.0,1.0,88.9
-Bartłomiej Drągowski,pl POL,GK,Fiorentina,22,1997,36.0,36.0,3148.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,699.0,1055.0,66.3,21471.0,16587.0,123.0,123.0,100.0,277.0,285.0,97.2,292.0,634.0,46.1,1.0,22.0,0.0,0.0,0.0,669.0,380.0,120.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,4.0,0.11,2.0,2.0,0.0,0.0,0.0,2.0,0.06,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,13.0,1.0,1149.0,963.0,1145.0,4.0,0.0,0.0,1149.0,0.0,0.0,0.0,590.0,0.0,0.0,0.0,407.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,1.0,0.0,43.0,6.0,1.0,85.7
-Denis Drăguș,ro ROU,"FW,MF",Crotone,21,1999,9.0,1.0,177.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,48.0,69.0,69.6,638.0,193.0,26.0,35.0,74.3,14.0,17.0,82.4,2.0,6.0,33.3,0.0,4.0,4.0,0.0,9.0,67.0,2.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,3.0,0.0,4.0,0.0,4.0,4.0,0.0,4.0,1.0,0.0,0.0,97.0,1.0,7.0,37.0,57.0,5.0,97.0,5.0,8.0,62.5,62.0,6.0,6.0,1.0,77.0,9.0,6.0,0.0,4.0,4.0,2.0,0.0,0.0,0.0,10.0,1.0,4.0,20.0
-Radu Drăgușin,ro ROU,DF,Juventus,18,2002,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,14.0,13.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Léo Duarte,br BRA,DF,Milan,24,1996,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,100.0,237.0,54.0,2.0,2.0,100.0,10.0,10.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,14.0,1.0,12.0,2.0,0.0,0.0,14.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Alfred Duncan,gh GHA,MF,Fiorentina,27,1993,4.0,2.0,162.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,67.0,90.0,74.4,1279.0,403.0,31.0,38.0,81.6,23.0,31.0,74.2,12.0,16.0,75.0,1.0,6.0,0.0,0.0,10.0,84.0,5.0,4.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,6.0,3.33,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,2.0,0.0,2.0,2.0,0.0,0.0,105.0,0.0,14.0,66.0,26.0,1.0,105.0,1.0,1.0,100.0,66.0,1.0,3.0,0.0,68.0,2.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,4.0,33.3
-Alfred Duncan,gh GHA,MF,Cagliari,27,1993,19.0,12.0,1068.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.08,0.08,0.0,0.08,0.2,0.2,0.02,0.02,11.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.2,-0.2,482.0,598.0,80.6,8737.0,2676.0,218.0,246.0,88.6,199.0,233.0,85.4,58.0,92.0,63.0,10.0,68.0,14.0,0.0,73.0,584.0,13.0,10.0,1.0,5.0,12.0,0.0,0.0,0.0,0.0,3.0,1.0,10.0,20.0,1.69,16.0,2.0,1.0,1.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,8.0,9.0,1.0,4.0,21.0,19.0,17.0,8.0,0.0,8.0,16.0,8.0,1.0,706.0,28.0,135.0,443.0,136.0,5.0,706.0,18.0,27.0,66.7,389.0,16.0,14.0,3.0,483.0,22.0,8.0,0.0,16.0,12.0,0.0,0.0,0.0,0.0,77.0,8.0,12.0,40.0
-Paulo Dybala,ar ARG,FW,Juventus,26,1993,20.0,14.0,1132.0,4.0,3.0,0.0,0.0,0.0,0.0,0.32,0.24,0.56,0.32,0.56,4.6,4.6,0.36,0.36,12.6,15.0,5.0,29.4,1.19,0.08,0.27,0.09,-0.6,-0.6,576.0,705.0,81.7,9125.0,2005.0,320.0,345.0,92.8,167.0,206.0,81.1,61.0,105.0,58.1,30.0,46.0,26.0,2.0,74.0,604.0,98.0,19.0,1.0,7.0,65.0,53.0,5.0,36.0,0.0,4.0,3.0,13.0,70.0,5.56,42.0,13.0,6.0,5.0,4.0,3.0,0.24,2.0,0.0,0.0,1.0,0.0,0.0,14.0,8.0,3.0,4.0,7.0,2.0,14.0,14.3,12.0,15.0,0.0,15.0,1.0,1.0,0.0,880.0,2.0,53.0,367.0,467.0,61.0,880.0,27.0,47.0,57.4,496.0,39.0,35.0,14.0,687.0,35.0,18.0,0.0,10.0,29.0,3.0,0.0,0.0,0.0,32.0,2.0,9.0,18.2
-Edin Džeko,ba BIH,FW,Roma,34,1986,27.0,20.0,1824.0,7.0,3.0,0.0,1.0,2.0,0.0,0.35,0.15,0.49,0.35,0.49,13.2,12.4,0.65,0.61,20.3,24.0,0.0,34.8,1.18,0.1,0.29,0.18,-6.2,-5.4,338.0,512.0,66.0,5191.0,1244.0,197.0,264.0,74.6,96.0,135.0,71.1,26.0,39.0,66.7,29.0,23.0,19.0,0.0,53.0,464.0,42.0,0.0,0.0,8.0,16.0,0.0,0.0,0.0,0.0,3.0,6.0,23.0,64.0,3.16,46.0,0.0,4.0,7.0,6.0,8.0,0.39,6.0,0.0,1.0,0.0,1.0,0.0,8.0,6.0,2.0,3.0,3.0,3.0,9.0,33.3,6.0,9.0,4.0,5.0,1.0,11.0,0.0,731.0,15.0,29.0,325.0,386.0,131.0,730.0,27.0,55.0,49.1,353.0,50.0,29.0,24.0,589.0,56.0,31.0,0.0,25.0,37.0,10.0,1.0,0.0,0.0,28.0,82.0,54.0,60.3
-Steeve-Mike Ebongue,fr FRA,MF,Genoa,19,2001,3.0,0.0,52.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.73,1.73,0.0,1.73,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,27.0,74.1,198.0,54.0,15.0,18.0,83.3,1.0,1.0,100.0,1.0,1.0,100.0,2.0,1.0,0.0,0.0,1.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.73,0.0,0.0,0.0,0.0,0.0,1.0,1.73,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,3.0,0.0,3.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,1.0,14.0,14.0,6.0,0.0,33.0,0.0,0.0,0.0,19.0,1.0,0.0,0.0,16.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-Simone Edera,it ITA,"DF,MF",Torino,23,1997,2.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.25,0.25,0.6,1.0,2.0,33.3,1.73,0.0,0.0,0.05,-0.1,-0.1,17.0,22.0,77.3,331.0,82.0,8.0,10.0,80.0,6.0,6.0,100.0,3.0,4.0,75.0,3.0,1.0,0.0,0.0,1.0,17.0,5.0,4.0,0.0,0.0,5.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,3.0,5.19,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,3.0,4.0,75.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,34.0,2.0,9.0,14.0,11.0,0.0,34.0,2.0,2.0,100.0,11.0,1.0,1.0,0.0,14.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Albin Ekdal,se SWE,MF,Sampdoria,31,1989,32.0,26.0,2299.0,2.0,1.0,0.0,0.0,9.0,0.0,0.08,0.04,0.12,0.08,0.12,0.9,0.9,0.04,0.04,25.5,3.0,0.0,21.4,0.12,0.14,0.67,0.06,1.1,1.1,878.0,1049.0,83.7,13941.0,4033.0,440.0,491.0,89.6,346.0,401.0,86.3,58.0,89.0,65.2,11.0,73.0,8.0,0.0,95.0,990.0,59.0,57.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,9.0,26.0,1.02,19.0,0.0,2.0,2.0,1.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,56.0,29.0,21.0,32.0,3.0,23.0,65.0,35.4,42.0,31.0,12.0,19.0,49.0,35.0,0.0,1326.0,62.0,345.0,808.0,192.0,22.0,1326.0,20.0,24.0,83.3,613.0,22.0,18.0,1.0,740.0,22.0,18.0,0.0,49.0,57.0,0.0,0.0,1.0,0.0,188.0,34.0,28.0,54.8
-Elif Elmas,mk MKD,"MF,FW",Napoli,20,1999,33.0,3.0,740.0,2.0,1.0,0.0,0.0,3.0,0.0,0.24,0.12,0.36,0.24,0.36,1.4,1.4,0.17,0.17,8.2,6.0,0.0,46.2,0.73,0.15,0.33,0.11,0.6,0.6,319.0,355.0,89.9,4423.0,596.0,204.0,220.0,92.7,88.0,96.0,91.7,17.0,19.0,89.5,12.0,16.0,3.0,1.0,18.0,348.0,6.0,3.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,2.0,1.0,5.0,23.0,2.8,18.0,0.0,3.0,1.0,1.0,6.0,0.73,2.0,0.0,3.0,1.0,0.0,0.0,15.0,4.0,3.0,6.0,6.0,7.0,12.0,58.3,5.0,11.0,1.0,10.0,2.0,10.0,0.0,446.0,8.0,65.0,225.0,160.0,25.0,446.0,12.0,16.0,75.0,276.0,27.0,17.0,9.0,344.0,18.0,9.0,0.0,10.0,8.0,1.0,0.0,0.0,0.0,36.0,2.0,10.0,16.7
-Alan Empereur,br BRA,DF,Hellas Verona,26,1994,4.0,4.0,219.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,90.0,111.0,81.1,1684.0,521.0,31.0,37.0,83.8,52.0,56.0,92.9,7.0,14.0,50.0,0.0,11.0,0.0,0.0,14.0,108.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.9,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,6.0,7.0,1.0,129.0,9.0,39.0,81.0,10.0,1.0,129.0,0.0,0.0,0.0,73.0,2.0,2.0,0.0,94.0,0.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,7.0,2.0,3.0,40.0
-Christian Eriksen,dk DEN,MF,Inter,28,1992,26.0,17.0,1385.0,3.0,0.0,0.0,0.0,1.0,0.0,0.19,0.0,0.19,0.19,0.19,1.4,1.4,0.09,0.09,15.4,12.0,7.0,40.0,0.78,0.1,0.25,0.05,1.6,1.6,863.0,1061.0,81.3,15187.0,4457.0,394.0,434.0,90.8,346.0,398.0,86.9,97.0,174.0,55.7,30.0,81.0,17.0,4.0,86.0,942.0,113.0,36.0,0.0,9.0,103.0,75.0,26.0,37.0,0.0,1.0,6.0,13.0,59.0,3.83,34.0,21.0,0.0,4.0,0.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,6.0,4.0,2.0,7.0,20.0,35.0,13.0,16.0,1.0,15.0,9.0,13.0,1.0,1185.0,23.0,233.0,562.0,399.0,24.0,1185.0,11.0,15.0,73.3,665.0,28.0,34.0,3.0,860.0,18.0,19.0,0.0,13.0,4.0,1.0,0.0,1.0,0.0,109.0,8.0,6.0,57.1
-Martin Erlic,hr CRO,DF,Spezia,22,1998,27.0,19.0,1798.0,3.0,1.0,0.0,0.0,6.0,0.0,0.15,0.05,0.2,0.15,0.2,1.2,1.2,0.06,0.06,20.0,3.0,0.0,30.0,0.15,0.3,1.0,0.12,1.8,1.8,911.0,1075.0,84.7,19933.0,5357.0,222.0,262.0,84.7,526.0,580.0,90.7,156.0,215.0,72.6,1.0,57.0,3.0,1.0,58.0,1011.0,62.0,57.0,0.0,13.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,7.0,0.35,7.0,0.0,0.0,0.0,0.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,0.0,23.0,14.0,16.0,6.0,1.0,11.0,20.0,55.0,9.0,22.0,16.0,6.0,41.0,71.0,2.0,1267.0,139.0,644.0,603.0,32.0,16.0,1267.0,3.0,5.0,60.0,724.0,15.0,7.0,0.0,756.0,9.0,1.0,0.0,37.0,12.0,0.0,0.0,0.0,0.0,100.0,44.0,36.0,55.0
-Gonzalo Escalante,ar ARG,MF,Lazio,27,1993,24.0,4.0,733.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.12,0.12,0.0,0.12,0.7,0.7,0.08,0.08,8.1,3.0,0.0,42.9,0.37,0.0,0.0,0.1,-0.7,-0.7,422.0,481.0,87.7,7202.0,1979.0,190.0,209.0,90.9,191.0,211.0,90.5,35.0,44.0,79.5,2.0,39.0,2.0,0.0,45.0,474.0,6.0,5.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,14.0,1.72,11.0,0.0,0.0,1.0,1.0,3.0,0.37,2.0,0.0,0.0,1.0,0.0,0.0,26.0,13.0,11.0,14.0,1.0,8.0,28.0,28.6,20.0,10.0,3.0,7.0,19.0,13.0,0.0,573.0,16.0,141.0,382.0,56.0,3.0,573.0,8.0,9.0,88.9,302.0,11.0,11.0,0.0,353.0,6.0,2.0,0.0,14.0,8.0,0.0,0.0,0.0,0.0,67.0,12.0,18.0,40.0
-Nahuel Estévez,ar ARG,MF,Spezia,24,1995,27.0,19.0,1768.0,0.0,3.0,0.0,0.0,7.0,0.0,0.0,0.15,0.15,0.0,0.15,1.9,1.9,0.09,0.09,19.6,8.0,2.0,33.3,0.41,0.0,0.0,0.08,-1.9,-1.9,679.0,923.0,73.6,12104.0,3248.0,302.0,361.0,83.7,270.0,335.0,80.6,85.0,169.0,50.3,27.0,69.0,25.0,8.0,101.0,848.0,67.0,26.0,0.0,9.0,91.0,33.0,0.0,24.0,0.0,8.0,8.0,23.0,55.0,2.8,39.0,10.0,0.0,6.0,0.0,9.0,0.46,4.0,2.0,0.0,3.0,0.0,0.0,13.0,5.0,4.0,6.0,3.0,5.0,32.0,15.6,27.0,23.0,5.0,18.0,20.0,22.0,1.0,1093.0,30.0,139.0,582.0,390.0,34.0,1093.0,11.0,19.0,57.9,602.0,32.0,30.0,4.0,746.0,31.0,13.0,0.0,33.0,22.0,0.0,0.0,0.0,0.0,116.0,13.0,18.0,41.9
-Valentin Eysseric,fr FRA,"MF,FW",Fiorentina,28,1992,16.0,6.0,729.0,2.0,0.0,0.0,0.0,2.0,0.0,0.25,0.0,0.25,0.25,0.25,1.3,1.3,0.16,0.16,8.1,5.0,1.0,38.5,0.62,0.15,0.4,0.1,0.7,0.7,256.0,357.0,71.7,4331.0,1264.0,132.0,153.0,86.3,77.0,105.0,73.3,33.0,63.0,52.4,8.0,31.0,5.0,4.0,33.0,330.0,26.0,11.0,0.0,11.0,33.0,12.0,6.0,4.0,0.0,3.0,1.0,9.0,20.0,2.46,15.0,2.0,0.0,2.0,1.0,1.0,0.12,0.0,0.0,0.0,1.0,0.0,0.0,14.0,8.0,6.0,7.0,1.0,5.0,11.0,45.5,6.0,11.0,0.0,11.0,7.0,8.0,0.0,444.0,11.0,72.0,208.0,166.0,13.0,444.0,3.0,6.0,50.0,255.0,14.0,12.0,3.0,298.0,11.0,7.0,0.0,12.0,11.0,0.0,0.0,0.0,0.0,40.0,10.0,9.0,52.6
-Nicolò Fagioli,it ITA,MF,Juventus,19,2001,1.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,20.0,90.0,286.0,129.0,9.0,9.0,100.0,8.0,8.0,100.0,1.0,2.0,50.0,0.0,3.0,0.0,0.0,1.0,18.0,2.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,8.57,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,23.0,1.0,7.0,14.0,2.0,0.0,23.0,2.0,2.0,100.0,15.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,50.0
-Iago Falque,es ESP,"MF,FW",Benevento,30,1990,11.0,4.0,358.0,1.0,1.0,0.0,0.0,0.0,0.0,0.25,0.25,0.5,0.25,0.5,0.4,0.4,0.11,0.11,4.0,1.0,0.0,9.1,0.25,0.09,1.0,0.04,0.6,0.6,159.0,212.0,75.0,2593.0,726.0,82.0,88.0,93.2,58.0,74.0,78.4,14.0,37.0,37.8,13.0,15.0,15.0,3.0,26.0,189.0,23.0,6.0,1.0,1.0,30.0,12.0,7.0,4.0,0.0,2.0,0.0,6.0,28.0,7.04,21.0,2.0,3.0,2.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,1.0,6.0,16.7,5.0,4.0,1.0,3.0,0.0,1.0,0.0,266.0,1.0,24.0,124.0,123.0,16.0,266.0,7.0,17.0,41.2,162.0,16.0,11.0,7.0,186.0,11.0,6.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,27.0,1.0,5.0,16.7
-Andri Fannar Baldursson,is ISL,MF,Bologna,18,2002,8.0,1.0,217.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,54.0,73.0,74.0,833.0,221.0,28.0,33.0,84.8,25.0,31.0,80.6,1.0,6.0,16.7,1.0,5.0,2.0,0.0,6.0,69.0,4.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,1.65,4.0,0.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,1.0,2.0,3.0,1.0,3.0,33.3,2.0,3.0,1.0,2.0,3.0,7.0,0.0,106.0,7.0,34.0,53.0,20.0,3.0,106.0,1.0,2.0,50.0,52.0,1.0,2.0,0.0,64.0,6.0,4.0,0.0,7.0,3.0,1.0,0.0,0.0,0.0,8.0,3.0,6.0,33.3
-Paolo Faragò,it ITA,DF,Bologna,27,1993,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.21,0.21,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,11.0,13.0,84.6,159.0,70.0,6.0,7.0,85.7,5.0,5.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,12.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,7.83,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,16.0,2.0,4.0,6.0,6.0,2.0,16.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Paolo Faragò,it ITA,DF,Cagliari,27,1993,8.0,4.0,369.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,4.1,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,190.0,225.0,84.4,3092.0,1189.0,98.0,101.0,97.0,74.0,86.0,86.0,13.0,22.0,59.1,5.0,11.0,5.0,5.0,13.0,185.0,40.0,5.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,35.0,0.0,6.0,10.0,2.44,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,9.0,10.0,3.0,0.0,9.0,20.0,45.0,11.0,3.0,2.0,1.0,6.0,15.0,0.0,280.0,27.0,81.0,119.0,81.0,6.0,280.0,2.0,5.0,40.0,132.0,2.0,4.0,1.0,161.0,5.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,19.0,5.0,1.0,83.3
-Davide Faraoni,it ITA,DF,Hellas Verona,28,1991,34.0,33.0,2891.0,4.0,7.0,0.0,0.0,8.0,0.0,0.12,0.22,0.34,0.12,0.34,3.1,3.1,0.1,0.1,32.1,9.0,0.0,26.5,0.28,0.12,0.44,0.09,0.9,0.9,1024.0,1447.0,70.8,18184.0,7854.0,446.0,527.0,84.6,454.0,611.0,74.3,104.0,216.0,48.1,21.0,96.0,30.0,9.0,132.0,1163.0,274.0,30.0,0.0,6.0,62.0,0.0,0.0,0.0,0.0,244.0,10.0,37.0,49.0,1.57,37.0,3.0,5.0,1.0,2.0,8.0,0.26,6.0,1.0,1.0,0.0,0.0,0.0,62.0,33.0,36.0,19.0,7.0,28.0,51.0,54.9,23.0,48.0,17.0,31.0,49.0,83.0,1.0,1845.0,132.0,560.0,824.0,482.0,63.0,1845.0,17.0,45.0,37.8,838.0,26.0,26.0,3.0,972.0,46.0,15.0,0.0,47.0,38.0,9.0,0.0,0.0,0.0,227.0,42.0,34.0,55.3
-Mohamed Fares,dz ALG,DF,Lazio,24,1996,21.0,12.0,1139.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,0.7,0.5,0.05,0.04,12.7,4.0,0.0,28.6,0.32,0.0,0.0,0.04,-0.7,-0.5,412.0,540.0,76.3,6084.0,1520.0,227.0,254.0,89.4,132.0,175.0,75.4,25.0,55.0,45.5,14.0,27.0,16.0,14.0,24.0,468.0,70.0,6.0,0.0,1.0,60.0,0.0,0.0,0.0,0.0,64.0,2.0,18.0,32.0,2.53,26.0,2.0,2.0,1.0,0.0,3.0,0.24,2.0,0.0,0.0,1.0,0.0,0.0,20.0,15.0,9.0,7.0,4.0,11.0,19.0,57.9,8.0,14.0,1.0,13.0,16.0,21.0,0.0,685.0,27.0,167.0,262.0,263.0,21.0,685.0,6.0,18.0,33.3,362.0,26.0,20.0,4.0,409.0,19.0,6.0,0.0,28.0,7.0,2.0,0.0,1.0,0.0,68.0,10.0,15.0,40.0
-Diego Farias,br BRA,FW,Spezia,30,1990,29.0,17.0,1514.0,4.0,2.0,0.0,0.0,5.0,0.0,0.24,0.12,0.36,0.24,0.36,3.2,3.2,0.19,0.19,16.8,10.0,2.0,31.3,0.59,0.13,0.4,0.1,0.8,0.8,530.0,654.0,81.0,9082.0,1743.0,268.0,311.0,86.2,199.0,241.0,82.6,52.0,62.0,83.9,32.0,33.0,19.0,3.0,67.0,637.0,13.0,4.0,1.0,7.0,21.0,4.0,0.0,1.0,0.0,5.0,4.0,14.0,59.0,3.5,46.0,0.0,5.0,4.0,3.0,4.0,0.24,2.0,0.0,0.0,2.0,0.0,0.0,9.0,5.0,4.0,1.0,4.0,4.0,21.0,19.0,17.0,12.0,0.0,12.0,13.0,3.0,0.0,784.0,5.0,79.0,336.0,375.0,77.0,784.0,18.0,26.0,69.2,521.0,47.0,21.0,26.0,639.0,26.0,11.0,0.0,18.0,15.0,2.0,0.0,0.0,0.0,59.0,8.0,4.0,66.7
-Andrea Favilli,it ITA,FW,Hellas Verona,23,1997,11.0,2.0,339.0,2.0,0.0,0.0,0.0,1.0,0.0,0.53,0.0,0.53,0.53,0.53,1.6,1.6,0.42,0.42,3.8,4.0,0.0,30.8,1.06,0.15,0.5,0.12,0.4,0.4,54.0,80.0,67.5,803.0,104.0,27.0,41.0,65.9,17.0,21.0,81.0,5.0,6.0,83.3,2.0,3.0,1.0,0.0,2.0,75.0,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,1.86,6.0,0.0,1.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,2.0,2.0,3.0,66.7,1.0,2.0,0.0,2.0,0.0,2.0,0.0,143.0,2.0,4.0,61.0,81.0,22.0,143.0,3.0,7.0,42.9,89.0,7.0,6.0,3.0,127.0,22.0,15.0,0.0,14.0,8.0,9.0,0.0,0.0,0.0,8.0,17.0,27.0,38.6
-Federico Fazio,ar ARG,DF,Roma,33,1987,6.0,5.0,406.0,1.0,0.0,0.0,0.0,2.0,0.0,0.22,0.0,0.22,0.22,0.22,0.2,0.2,0.04,0.04,4.5,2.0,0.0,66.7,0.44,0.33,0.5,0.05,0.8,0.8,272.0,317.0,85.8,4679.0,1442.0,129.0,139.0,92.8,122.0,134.0,91.0,18.0,35.0,51.4,1.0,22.0,1.0,0.0,20.0,307.0,10.0,9.0,1.0,3.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,3.0,0.67,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,3.0,4.0,75.0,1.0,3.0,3.0,0.0,7.0,18.0,1.0,361.0,40.0,136.0,197.0,32.0,6.0,361.0,3.0,3.0,100.0,191.0,4.0,9.0,0.0,252.0,2.0,1.0,0.0,6.0,3.0,0.0,0.0,1.0,0.0,20.0,17.0,12.0,58.6
-Luiz Felipe,it ITA,DF,Lazio,23,1997,14.0,10.0,909.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,10.1,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.3,-0.3,500.0,548.0,91.2,9562.0,2810.0,173.0,188.0,92.0,271.0,288.0,94.1,51.0,62.0,82.3,3.0,36.0,2.0,1.0,29.0,528.0,20.0,17.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,9.0,0.89,8.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,20.0,19.0,11.0,2.0,16.0,24.0,66.7,8.0,20.0,9.0,11.0,21.0,29.0,1.0,669.0,62.0,305.0,333.0,35.0,4.0,669.0,2.0,5.0,40.0,400.0,9.0,6.0,0.0,445.0,7.0,2.0,0.0,14.0,8.0,1.0,0.0,0.0,0.0,58.0,14.0,16.0,46.7
-Alex Ferrari,it ITA,DF,Sampdoria,26,1994,12.0,11.0,880.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.1,0.1,0.0,0.1,0.0,0.0,0.0,0.0,9.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,411.0,493.0,83.4,7406.0,2655.0,160.0,178.0,89.9,197.0,224.0,87.9,43.0,66.0,65.2,4.0,25.0,1.0,1.0,32.0,428.0,63.0,18.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,44.0,2.0,6.0,9.0,0.92,7.0,0.0,0.0,0.0,2.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,27.0,15.0,16.0,9.0,2.0,15.0,24.0,62.5,9.0,18.0,6.0,12.0,23.0,26.0,0.0,602.0,59.0,301.0,241.0,65.0,7.0,602.0,1.0,2.0,50.0,307.0,1.0,1.0,0.0,345.0,9.0,4.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,55.0,17.0,8.0,68.0
-Salvador Ferrer,es ESP,DF,Spezia,22,1998,18.0,14.0,1190.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.08,0.08,0.0,0.08,0.1,0.1,0.01,0.01,13.2,1.0,0.0,33.3,0.08,0.0,0.0,0.03,-0.1,-0.1,676.0,908.0,74.4,12680.0,4232.0,291.0,339.0,85.8,273.0,348.0,78.4,106.0,172.0,61.6,14.0,35.0,19.0,16.0,46.0,731.0,176.0,20.0,0.0,7.0,57.0,2.0,0.0,0.0,0.0,154.0,1.0,31.0,27.0,2.04,24.0,2.0,0.0,0.0,0.0,3.0,0.23,2.0,1.0,0.0,0.0,0.0,0.0,20.0,10.0,10.0,8.0,2.0,8.0,22.0,36.4,14.0,13.0,4.0,9.0,24.0,37.0,1.0,1037.0,49.0,341.0,462.0,243.0,6.0,1037.0,5.0,8.0,62.5,547.0,28.0,19.0,0.0,601.0,12.0,7.0,0.0,15.0,7.0,0.0,0.0,1.0,0.0,78.0,25.0,16.0,61.0
-Marco Festa,it ITA,GK,Crotone,28,1992,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,36.0,86.1,883.0,725.0,10.0,10.0,100.0,8.0,8.0,100.0,13.0,18.0,72.2,0.0,0.0,0.0,0.0,0.0,23.0,13.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,35.0,39.0,0.0,0.0,0.0,39.0,0.0,0.0,0.0,21.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Fernando Forestieri,it ITA,"FW,MF",Udinese,30,1990,19.0,3.0,552.0,1.0,1.0,0.0,0.0,1.0,0.0,0.16,0.16,0.33,0.16,0.33,1.5,1.5,0.25,0.25,6.1,3.0,0.0,27.3,0.49,0.09,0.33,0.14,-0.5,-0.5,150.0,194.0,77.3,1888.0,411.0,104.0,117.0,88.9,31.0,41.0,75.6,5.0,11.0,45.5,8.0,8.0,9.0,2.0,20.0,182.0,10.0,2.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,15.0,2.45,14.0,0.0,0.0,0.0,1.0,3.0,0.49,3.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,4.0,4.0,1.0,3.0,7.0,42.9,4.0,7.0,0.0,7.0,2.0,0.0,0.0,259.0,0.0,18.0,109.0,133.0,25.0,259.0,10.0,20.0,50.0,173.0,8.0,8.0,1.0,192.0,15.0,7.0,0.0,12.0,22.0,5.0,0.0,0.0,0.0,24.0,4.0,12.0,25.0
-Daam Foulon,be BEL,DF,Benevento,21,1999,23.0,11.0,1021.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.09,0.09,0.0,0.09,0.0,0.0,0.0,0.0,11.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,321.0,447.0,71.8,5175.0,2031.0,159.0,194.0,82.0,133.0,174.0,76.4,20.0,50.0,40.0,4.0,23.0,7.0,4.0,36.0,354.0,92.0,12.0,0.0,0.0,27.0,1.0,0.0,1.0,0.0,79.0,1.0,13.0,10.0,0.88,8.0,2.0,0.0,0.0,0.0,1.0,0.09,0.0,1.0,0.0,0.0,0.0,0.0,26.0,15.0,21.0,5.0,0.0,16.0,28.0,57.1,12.0,12.0,3.0,9.0,14.0,34.0,0.0,556.0,48.0,222.0,227.0,116.0,3.0,556.0,6.0,14.0,42.9,265.0,16.0,11.0,1.0,316.0,11.0,4.0,0.0,16.0,22.0,0.0,0.0,0.0,1.0,36.0,11.0,6.0,64.7
-Gianluca Frabotta,it ITA,"DF,MF",Juventus,21,1999,15.0,8.0,689.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.13,0.13,0.0,0.13,0.2,0.2,0.03,0.03,7.7,2.0,0.0,40.0,0.26,0.0,0.0,0.05,-0.2,-0.2,400.0,477.0,83.9,6225.0,1883.0,209.0,228.0,91.7,160.0,180.0,88.9,19.0,39.0,48.7,4.0,25.0,6.0,3.0,32.0,412.0,64.0,8.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,56.0,1.0,8.0,14.0,1.83,13.0,0.0,1.0,0.0,0.0,2.0,0.26,2.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,5.0,0.0,2.0,5.0,12.0,41.7,7.0,9.0,1.0,8.0,14.0,15.0,0.0,544.0,18.0,150.0,242.0,155.0,15.0,544.0,3.0,8.0,37.5,264.0,14.0,10.0,3.0,360.0,8.0,6.0,0.0,12.0,2.0,0.0,0.0,0.0,0.0,43.0,12.0,14.0,46.2
-Remo Freuler,ch SUI,MF,Atalanta,28,1992,34.0,32.0,2712.0,2.0,3.0,0.0,0.0,5.0,0.0,0.07,0.1,0.17,0.07,0.17,1.9,1.9,0.06,0.06,30.1,6.0,0.0,30.0,0.2,0.1,0.33,0.09,0.1,0.1,1876.0,2122.0,88.4,30938.0,10005.0,891.0,968.0,92.0,815.0,898.0,90.8,124.0,170.0,72.9,30.0,254.0,41.0,5.0,242.0,2030.0,89.0,66.0,2.0,18.0,19.0,2.0,0.0,0.0,0.0,21.0,3.0,25.0,89.0,2.95,73.0,3.0,4.0,3.0,4.0,14.0,0.46,12.0,0.0,1.0,0.0,0.0,1.0,63.0,39.0,17.0,38.0,8.0,32.0,76.0,42.1,44.0,52.0,4.0,48.0,39.0,27.0,2.0,2431.0,48.0,432.0,1429.0,593.0,49.0,2431.0,39.0,55.0,70.9,1454.0,73.0,69.0,9.0,1709.0,51.0,30.0,0.0,38.0,31.0,1.0,0.0,0.0,0.0,258.0,17.0,24.0,41.5
-Daniel Fuzato,br BRA,GK,Roma,23,1997,5.0,5.0,450.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,152.0,75.0,3150.0,2194.0,15.0,15.0,100.0,67.0,68.0,98.5,32.0,69.0,46.4,0.0,0.0,0.0,0.0,0.0,107.0,45.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,167.0,154.0,167.0,0.0,0.0,0.0,167.0,0.0,0.0,0.0,85.0,0.0,0.0,0.0,73.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
-Matteo Gabbia,it ITA,DF,Milan,20,1999,8.0,7.0,557.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.08,0.08,6.2,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.5,-0.5,331.0,361.0,91.7,6864.0,1845.0,93.0,99.0,93.9,187.0,199.0,94.0,46.0,55.0,83.6,0.0,19.0,0.0,0.0,20.0,353.0,8.0,7.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,0.32,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,3.0,6.0,0.0,2.0,2.0,100.0,0.0,8.0,6.0,2.0,3.0,21.0,0.0,415.0,52.0,203.0,200.0,12.0,6.0,415.0,0.0,0.0,0.0,224.0,2.0,1.0,0.0,284.0,2.0,0.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,33.0,17.0,10.0,63.0
-Manolo Gabbiadini,it ITA,FW,Sampdoria,28,1991,16.0,10.0,870.0,3.0,2.0,1.0,1.0,1.0,0.0,0.31,0.21,0.52,0.21,0.41,2.8,2.0,0.29,0.21,9.7,12.0,2.0,42.9,1.24,0.07,0.17,0.07,0.2,0.0,161.0,220.0,73.2,2312.0,712.0,94.0,120.0,78.3,43.0,58.0,74.1,11.0,16.0,68.8,11.0,19.0,9.0,0.0,27.0,215.0,3.0,1.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,26.0,2.69,18.0,1.0,2.0,3.0,2.0,6.0,0.62,3.0,0.0,1.0,2.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,1.0,3.0,1.0,2.0,3.0,5.0,0.0,296.0,6.0,33.0,138.0,125.0,27.0,295.0,3.0,7.0,42.9,173.0,11.0,11.0,4.0,233.0,18.0,5.0,0.0,12.0,18.0,3.0,0.0,0.0,0.0,23.0,12.0,22.0,35.3
-Roberto Gagliardini,it ITA,MF,Inter,26,1994,28.0,14.0,1232.0,3.0,2.0,0.0,0.0,2.0,0.0,0.22,0.15,0.37,0.22,0.37,1.2,1.2,0.09,0.09,13.7,5.0,0.0,29.4,0.37,0.18,0.6,0.07,1.8,1.8,517.0,601.0,86.0,7803.0,1851.0,294.0,325.0,90.5,173.0,193.0,89.6,31.0,50.0,62.0,8.0,59.0,7.0,1.0,54.0,590.0,9.0,6.0,0.0,8.0,10.0,1.0,0.0,0.0,0.0,2.0,2.0,9.0,22.0,1.61,16.0,1.0,2.0,2.0,1.0,7.0,0.51,5.0,0.0,1.0,0.0,1.0,0.0,30.0,17.0,17.0,8.0,5.0,5.0,28.0,17.9,23.0,15.0,3.0,12.0,19.0,16.0,0.0,733.0,28.0,139.0,412.0,191.0,34.0,733.0,4.0,7.0,57.1,402.0,27.0,19.0,5.0,543.0,19.0,6.0,0.0,23.0,16.0,0.0,0.0,0.0,0.0,55.0,19.0,11.0,63.3
-Riccardo Gagliolo,se SWE,DF,Parma,30,1990,28.0,22.0,1956.0,2.0,2.0,0.0,0.0,6.0,0.0,0.09,0.09,0.18,0.09,0.18,3.2,3.2,0.15,0.15,21.7,3.0,0.0,15.8,0.14,0.11,0.67,0.17,-1.2,-1.2,1074.0,1349.0,79.6,21319.0,9061.0,359.0,413.0,86.9,551.0,642.0,85.8,146.0,242.0,60.3,17.0,99.0,21.0,13.0,118.0,1195.0,148.0,36.0,0.0,12.0,38.0,0.0,0.0,0.0,0.0,111.0,6.0,13.0,39.0,1.79,33.0,3.0,1.0,1.0,1.0,3.0,0.14,3.0,0.0,0.0,0.0,0.0,0.0,45.0,18.0,35.0,8.0,2.0,28.0,45.0,62.2,17.0,34.0,7.0,27.0,36.0,64.0,1.0,1579.0,127.0,657.0,745.0,195.0,24.0,1579.0,10.0,16.0,62.5,872.0,37.0,19.0,1.0,1021.0,15.0,6.0,0.0,28.0,34.0,0.0,0.0,0.0,0.0,118.0,25.0,25.0,50.0
-Adolfo Gaich,ar ARG,FW,Benevento,21,1999,15.0,9.0,768.0,2.0,0.0,0.0,0.0,1.0,0.0,0.23,0.0,0.23,0.23,0.23,2.8,2.8,0.33,0.33,8.5,6.0,0.0,26.1,0.7,0.09,0.33,0.12,-0.8,-0.8,76.0,134.0,56.7,1121.0,179.0,42.0,63.0,66.7,19.0,31.0,61.3,9.0,12.0,75.0,5.0,4.0,2.0,1.0,4.0,126.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,13.0,1.52,7.0,0.0,1.0,2.0,2.0,2.0,0.23,0.0,0.0,1.0,0.0,0.0,1.0,9.0,4.0,1.0,7.0,1.0,1.0,13.0,7.7,12.0,4.0,0.0,4.0,2.0,4.0,0.0,251.0,5.0,18.0,127.0,110.0,38.0,251.0,9.0,24.0,37.5,136.0,10.0,7.0,7.0,186.0,26.0,13.0,0.0,24.0,19.0,3.0,0.0,1.0,0.0,16.0,14.0,39.0,26.4
-Andrey Galabinov,bg BUL,FW,Spezia,31,1988,12.0,4.0,430.0,3.0,1.0,0.0,1.0,0.0,0.0,0.63,0.21,0.84,0.63,0.84,3.0,2.2,0.62,0.45,4.8,3.0,0.0,42.9,0.63,0.43,1.0,0.31,0.0,0.8,73.0,103.0,70.9,1090.0,148.0,38.0,49.0,77.6,23.0,36.0,63.9,6.0,8.0,75.0,3.0,3.0,3.0,0.0,10.0,82.0,19.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,6.0,1.26,6.0,0.0,0.0,0.0,0.0,2.0,0.42,2.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,3.0,33.3,2.0,2.0,0.0,2.0,0.0,5.0,0.0,139.0,5.0,12.0,68.0,60.0,13.0,138.0,2.0,2.0,100.0,61.0,3.0,4.0,2.0,104.0,9.0,17.0,0.0,5.0,4.0,3.0,0.0,0.0,0.0,6.0,10.0,19.0,34.5
-Manuel Gasparini,it ITA,GK,Udinese,18,2002,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,59.0,53.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Gervinho,ci CIV,FW,Parma,33,1987,27.0,25.0,2021.0,5.0,1.0,0.0,0.0,0.0,0.0,0.22,0.04,0.27,0.22,0.27,3.5,3.5,0.16,0.16,22.5,12.0,0.0,37.5,0.53,0.16,0.42,0.11,1.5,1.5,432.0,536.0,80.6,5691.0,1144.0,276.0,315.0,87.6,132.0,151.0,87.4,7.0,10.0,70.0,27.0,28.0,15.0,2.0,53.0,515.0,17.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,2.0,4.0,20.0,66.0,2.94,45.0,0.0,16.0,2.0,3.0,4.0,0.18,2.0,0.0,1.0,0.0,1.0,0.0,5.0,1.0,2.0,2.0,1.0,1.0,14.0,7.1,13.0,11.0,1.0,10.0,10.0,3.0,0.0,721.0,4.0,51.0,264.0,421.0,97.0,721.0,56.0,98.0,57.1,528.0,84.0,44.0,58.0,565.0,45.0,24.0,0.0,8.0,11.0,20.0,0.0,0.0,0.0,70.0,0.0,2.0,0.0
-Paolo Ghiglione,it ITA,"DF,MF",Genoa,23,1997,23.0,14.0,1358.0,0.0,4.0,0.0,0.0,4.0,0.0,0.0,0.27,0.27,0.0,0.27,0.5,0.5,0.04,0.04,15.1,2.0,0.0,20.0,0.13,0.0,0.0,0.05,-0.5,-0.5,401.0,609.0,65.8,6829.0,2366.0,197.0,234.0,84.2,147.0,218.0,67.4,47.0,107.0,43.9,18.0,14.0,21.0,18.0,27.0,511.0,98.0,7.0,0.0,3.0,85.0,3.0,0.0,3.0,0.0,88.0,0.0,27.0,32.0,2.12,24.0,5.0,1.0,1.0,1.0,6.0,0.4,5.0,1.0,0.0,0.0,0.0,0.0,27.0,15.0,17.0,8.0,2.0,13.0,28.0,46.4,15.0,14.0,2.0,12.0,13.0,25.0,0.0,763.0,40.0,220.0,290.0,263.0,18.0,763.0,8.0,21.0,38.1,404.0,39.0,27.0,6.0,456.0,14.0,7.0,0.0,18.0,13.0,3.0,0.0,0.0,0.0,60.0,15.0,18.0,45.5
-Faouzi Ghoulam,dz ALG,"DF,FW",Napoli,29,1991,11.0,3.0,289.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.2,0.0,2.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,206.0,258.0,79.8,3121.0,1114.0,113.0,125.0,90.4,75.0,92.0,81.5,11.0,25.0,44.0,7.0,7.0,7.0,5.0,11.0,210.0,46.0,16.0,0.0,0.0,29.0,12.0,3.0,6.0,0.0,18.0,2.0,5.0,13.0,4.05,6.0,5.0,0.0,2.0,0.0,1.0,0.31,0.0,0.0,0.0,1.0,0.0,0.0,6.0,5.0,3.0,2.0,1.0,0.0,1.0,0.0,1.0,4.0,2.0,2.0,3.0,1.0,0.0,279.0,5.0,52.0,138.0,92.0,2.0,279.0,0.0,0.0,0.0,143.0,3.0,11.0,1.0,194.0,3.0,3.0,0.0,2.0,7.0,1.0,0.0,0.0,0.0,17.0,7.0,1.0,87.5
-Kamil Glik,pl POL,DF,Benevento,32,1988,36.0,36.0,3206.0,2.0,1.0,0.0,0.0,10.0,1.0,0.06,0.03,0.08,0.06,0.08,3.4,3.4,0.1,0.1,35.6,11.0,0.0,37.9,0.31,0.07,0.18,0.12,-1.4,-1.4,1148.0,1301.0,88.2,23627.0,7644.0,308.0,345.0,89.3,663.0,709.0,93.5,154.0,214.0,72.0,4.0,37.0,0.0,0.0,67.0,1233.0,65.0,57.0,0.0,13.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,18.0,0.51,14.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,24.0,33.0,10.0,1.0,25.0,53.0,47.2,28.0,37.0,31.0,6.0,62.0,153.0,0.0,1663.0,290.0,1022.0,586.0,64.0,46.0,1663.0,2.0,4.0,50.0,789.0,3.0,6.0,0.0,944.0,14.0,4.0,1.0,32.0,21.0,0.0,0.0,0.0,1.0,137.0,87.0,55.0,61.3
-Diego Godín,uy URU,DF,Cagliari,34,1986,28.0,28.0,2508.0,1.0,0.0,0.0,0.0,3.0,0.0,0.04,0.0,0.04,0.04,0.04,0.8,0.8,0.03,0.03,27.9,4.0,0.0,33.3,0.14,0.08,0.25,0.07,0.2,0.2,1296.0,1557.0,83.2,26885.0,11509.0,406.0,446.0,91.0,670.0,758.0,88.4,210.0,318.0,66.0,7.0,83.0,4.0,1.0,91.0,1453.0,97.0,86.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,3.0,7.0,13.0,24.0,0.86,22.0,0.0,0.0,1.0,1.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,60.0,32.0,51.0,9.0,0.0,24.0,39.0,61.5,15.0,41.0,24.0,17.0,56.0,117.0,0.0,1862.0,262.0,991.0,809.0,74.0,28.0,1862.0,16.0,17.0,94.1,1005.0,23.0,13.0,3.0,1128.0,7.0,4.0,0.0,31.0,28.0,2.0,0.0,0.0,0.0,154.0,68.0,42.0,61.8
-Amer Gojak,ba BIH,"MF,FW",Torino,23,1997,15.0,6.0,475.0,1.0,1.0,0.0,0.0,1.0,0.0,0.19,0.19,0.38,0.19,0.38,0.8,0.8,0.16,0.16,5.3,3.0,0.0,37.5,0.57,0.13,0.33,0.1,0.2,0.2,180.0,246.0,73.2,2895.0,573.0,107.0,119.0,89.9,47.0,72.0,65.3,21.0,39.0,53.8,7.0,11.0,4.0,3.0,15.0,218.0,27.0,10.0,0.0,4.0,36.0,14.0,5.0,9.0,0.0,2.0,1.0,7.0,18.0,3.41,9.0,5.0,1.0,3.0,0.0,2.0,0.38,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,7.0,14.3,6.0,5.0,0.0,5.0,3.0,1.0,0.0,285.0,4.0,28.0,144.0,119.0,11.0,285.0,9.0,14.0,64.3,192.0,8.0,5.0,1.0,212.0,8.0,4.0,0.0,12.0,9.0,3.0,0.0,0.0,0.0,21.0,1.0,10.0,9.1
-Edoardo Goldaniga,it ITA,DF,Genoa,26,1993,25.0,19.0,1857.0,0.0,1.0,0.0,0.0,8.0,0.0,0.0,0.05,0.05,0.0,0.05,0.5,0.5,0.02,0.02,20.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.5,-0.5,650.0,893.0,72.8,11817.0,5294.0,286.0,327.0,87.5,289.0,380.0,76.1,69.0,154.0,44.8,7.0,61.0,13.0,7.0,68.0,791.0,98.0,19.0,1.0,5.0,33.0,0.0,0.0,0.0,0.0,79.0,4.0,13.0,13.0,0.63,13.0,0.0,0.0,0.0,0.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,0.0,28.0,18.0,21.0,7.0,0.0,14.0,23.0,60.9,9.0,17.0,7.0,10.0,38.0,62.0,1.0,1075.0,99.0,476.0,477.0,133.0,16.0,1075.0,6.0,11.0,54.5,586.0,21.0,25.0,3.0,638.0,10.0,3.0,0.0,30.0,24.0,1.0,0.0,0.0,0.0,75.0,25.0,36.0,41.0
-Vladimir Golemić,si SVN,DF,Crotone,29,1991,30.0,26.0,2341.0,2.0,0.0,1.0,1.0,4.0,1.0,0.08,0.0,0.08,0.04,0.04,1.2,0.4,0.05,0.02,26.0,2.0,0.0,40.0,0.08,0.2,0.5,0.09,0.8,0.6,1116.0,1311.0,85.1,21371.0,8884.0,387.0,427.0,90.6,610.0,664.0,91.9,109.0,190.0,57.4,6.0,44.0,3.0,0.0,59.0,1212.0,96.0,83.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,13.0,3.0,9.0,17.0,0.65,16.0,1.0,0.0,0.0,0.0,3.0,0.12,2.0,1.0,0.0,0.0,0.0,0.0,33.0,16.0,17.0,13.0,3.0,14.0,19.0,73.7,5.0,38.0,26.0,12.0,40.0,97.0,2.0,1554.0,233.0,955.0,565.0,41.0,14.0,1553.0,4.0,5.0,80.0,813.0,9.0,4.0,0.0,962.0,11.0,5.0,0.0,30.0,8.0,0.0,0.0,2.0,0.0,112.0,45.0,42.0,51.7
-Pierluigi Gollini,it ITA,GK,Atalanta,25,1995,25.0,25.0,2156.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,511.0,669.0,76.4,15171.0,10270.0,57.0,58.0,98.3,249.0,253.0,98.4,203.0,352.0,57.7,1.0,8.0,2.0,0.0,0.0,511.0,155.0,39.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,0.17,3.0,1.0,0.0,0.0,0.0,1.0,0.04,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,1.0,11.0,0.0,717.0,575.0,712.0,5.0,0.0,0.0,717.0,1.0,1.0,100.0,434.0,0.0,0.0,0.0,367.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,48.0,5.0,0.0,100.0
-Tomislav Gomelt,hr CRO,MF,Crotone,25,1995,2.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,18.0,94.4,298.0,90.0,7.0,7.0,100.0,8.0,8.0,100.0,2.0,2.0,100.0,0.0,2.0,0.0,0.0,3.0,17.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,4.74,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,21.0,2.0,8.0,12.0,1.0,0.0,21.0,0.0,0.0,0.0,11.0,1.0,0.0,0.0,16.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Papu Gómez,ar ARG,"MF,FW",Atalanta,32,1988,10.0,9.0,666.0,4.0,2.0,0.0,0.0,0.0,0.0,0.54,0.27,0.81,0.54,0.81,2.5,2.5,0.34,0.34,7.4,12.0,3.0,41.4,1.62,0.14,0.33,0.09,1.5,1.5,354.0,435.0,81.4,6441.0,1990.0,148.0,169.0,87.6,151.0,172.0,87.8,44.0,70.0,62.9,19.0,43.0,31.0,6.0,70.0,400.0,32.0,11.0,1.0,4.0,27.0,15.0,10.0,4.0,0.0,5.0,3.0,8.0,37.0,5.0,22.0,5.0,5.0,2.0,2.0,5.0,0.68,4.0,0.0,1.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,2.0,8.0,25.0,6.0,8.0,1.0,7.0,1.0,1.0,0.0,511.0,4.0,42.0,243.0,234.0,20.0,511.0,15.0,22.0,68.2,365.0,32.0,23.0,6.0,402.0,11.0,10.0,0.0,10.0,19.0,0.0,0.0,0.0,0.0,48.0,0.0,2.0,0.0
-Robin Gosens,de GER,DF,Atalanta,26,1994,32.0,30.0,2523.0,11.0,6.0,0.0,0.0,9.0,1.0,0.39,0.21,0.61,0.39,0.61,8.4,8.4,0.3,0.3,28.0,21.0,0.0,40.4,0.75,0.21,0.52,0.16,2.6,2.6,1320.0,1638.0,80.6,19206.0,7040.0,802.0,913.0,87.8,431.0,523.0,82.4,51.0,104.0,49.0,29.0,96.0,35.0,12.0,134.0,1429.0,207.0,13.0,0.0,8.0,62.0,0.0,0.0,0.0,0.0,194.0,2.0,34.0,79.0,2.82,65.0,2.0,3.0,4.0,2.0,13.0,0.46,12.0,1.0,0.0,0.0,0.0,0.0,46.0,35.0,20.0,15.0,11.0,17.0,41.0,41.5,24.0,50.0,7.0,43.0,41.0,34.0,0.0,1955.0,55.0,415.0,878.0,678.0,109.0,1955.0,26.0,40.0,65.0,1054.0,71.0,57.0,16.0,1301.0,41.0,16.0,1.0,50.0,26.0,9.0,0.0,2.0,1.0,167.0,36.0,20.0,64.3
-Alberto Grassi,it ITA,"MF,DF",Parma,25,1995,23.0,13.0,1177.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,13.1,3.0,0.0,30.0,0.23,0.0,0.0,0.05,-0.5,-0.5,362.0,461.0,78.5,5844.0,1540.0,176.0,212.0,83.0,152.0,175.0,86.9,26.0,45.0,57.8,3.0,28.0,3.0,0.0,34.0,426.0,33.0,13.0,0.0,3.0,11.0,0.0,0.0,0.0,0.0,19.0,2.0,12.0,15.0,1.14,9.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,11.0,14.0,13.0,3.0,8.0,29.0,27.6,21.0,22.0,9.0,13.0,26.0,32.0,0.0,637.0,48.0,192.0,328.0,124.0,16.0,637.0,7.0,14.0,50.0,297.0,13.0,9.0,3.0,355.0,24.0,4.0,0.0,16.0,27.0,1.0,0.0,0.0,1.0,63.0,13.0,9.0,59.1
-Koray Günter,de GER,DF,Hellas Verona,25,1994,27.0,21.0,1768.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.1,0.1,0.0,0.1,0.3,0.3,0.02,0.02,19.6,2.0,0.0,33.3,0.1,0.0,0.0,0.05,-0.3,-0.3,973.0,1107.0,87.9,19841.0,7074.0,262.0,303.0,86.5,587.0,627.0,93.6,114.0,155.0,73.5,6.0,42.0,1.0,0.0,77.0,1070.0,35.0,33.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,13.0,0.69,12.0,0.0,0.0,1.0,0.0,3.0,0.16,2.0,0.0,0.0,1.0,0.0,0.0,20.0,10.0,10.0,9.0,1.0,4.0,9.0,44.4,5.0,27.0,21.0,6.0,70.0,87.0,0.0,1329.0,125.0,629.0,690.0,26.0,8.0,1329.0,7.0,7.0,100.0,665.0,5.0,6.0,1.0,716.0,5.0,1.0,0.0,31.0,11.0,0.0,0.0,1.0,0.0,124.0,73.0,53.0,57.9
-Manu Gyabuaa,it ITA,MF,Atalanta,18,2001,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,14.0,10.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Emmanuel Gyasi,gh GHA,FW,Spezia,26,1994,37.0,32.0,2851.0,4.0,6.0,0.0,0.0,4.0,0.0,0.13,0.19,0.32,0.13,0.32,5.1,5.1,0.16,0.16,31.7,15.0,0.0,51.7,0.47,0.14,0.27,0.18,-1.1,-1.1,775.0,942.0,82.3,10199.0,1546.0,495.0,551.0,89.8,205.0,253.0,81.0,29.0,45.0,64.4,27.0,23.0,29.0,4.0,69.0,931.0,8.0,1.0,1.0,4.0,30.0,1.0,0.0,0.0,0.0,4.0,3.0,23.0,65.0,2.05,56.0,0.0,4.0,3.0,2.0,10.0,0.32,9.0,0.0,1.0,0.0,0.0,0.0,30.0,16.0,16.0,10.0,4.0,9.0,31.0,29.0,22.0,13.0,2.0,11.0,14.0,8.0,0.0,1196.0,14.0,131.0,511.0,573.0,103.0,1196.0,41.0,69.0,59.4,781.0,70.0,37.0,39.0,955.0,75.0,44.0,0.0,65.0,52.0,28.0,1.0,0.0,0.0,134.0,27.0,51.0,34.6
-Achraf Hakimi,ma MAR,DF,Inter,21,1998,37.0,29.0,2665.0,7.0,8.0,0.0,0.0,6.0,0.0,0.24,0.27,0.51,0.24,0.51,4.7,4.7,0.16,0.16,29.6,16.0,2.0,41.0,0.54,0.18,0.44,0.12,2.3,2.3,1253.0,1539.0,81.4,18000.0,5633.0,738.0,837.0,88.2,380.0,454.0,83.7,69.0,113.0,61.1,36.0,66.0,47.0,19.0,98.0,1312.0,226.0,12.0,1.0,3.0,115.0,2.0,0.0,1.0,0.0,212.0,1.0,57.0,89.0,3.0,69.0,4.0,4.0,2.0,9.0,19.0,0.64,17.0,0.0,0.0,0.0,2.0,0.0,53.0,32.0,23.0,19.0,11.0,23.0,48.0,47.9,25.0,31.0,1.0,30.0,22.0,23.0,1.0,1847.0,45.0,366.0,674.0,824.0,137.0,1847.0,33.0,64.0,51.6,995.0,113.0,58.0,46.0,1258.0,57.0,17.0,0.0,31.0,36.0,7.0,2.0,0.0,0.0,124.0,16.0,28.0,36.4
-Samir Handanović,si SVN,GK,Inter,36,1984,37.0,37.0,3240.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,934.0,1080.0,86.5,22303.0,14189.0,210.0,210.0,100.0,508.0,515.0,98.6,215.0,349.0,61.6,0.0,5.0,1.0,0.0,0.0,864.0,214.0,47.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,5.0,0.14,5.0,0.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,1131.0,1024.0,1130.0,2.0,0.0,0.0,1131.0,0.0,0.0,0.0,653.0,0.0,0.0,0.0,620.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,33.0,6.0,0.0,100.0
-Lukáš Haraslín,sk SVK,"FW,MF",Sassuolo,24,1996,14.0,2.0,333.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.18,0.18,3.7,5.0,1.0,41.7,1.35,0.0,0.0,0.06,-0.7,-0.7,97.0,142.0,68.3,1397.0,342.0,59.0,75.0,78.7,29.0,37.0,78.4,5.0,20.0,25.0,9.0,1.0,7.0,0.0,13.0,116.0,26.0,6.0,0.0,1.0,19.0,14.0,4.0,9.0,0.0,6.0,0.0,4.0,16.0,4.32,9.0,3.0,0.0,1.0,3.0,2.0,0.54,1.0,0.0,0.0,0.0,1.0,0.0,8.0,4.0,2.0,5.0,1.0,2.0,5.0,40.0,3.0,1.0,0.0,1.0,0.0,2.0,0.0,195.0,5.0,22.0,63.0,110.0,19.0,195.0,5.0,13.0,38.5,130.0,11.0,8.0,4.0,138.0,11.0,3.0,0.0,7.0,18.0,2.0,1.0,1.0,0.0,21.0,2.0,1.0,66.7
-Hans Hateboer,nl NED,DF,Atalanta,26,1994,22.0,20.0,1762.0,2.0,1.0,0.0,0.0,3.0,0.0,0.1,0.05,0.15,0.1,0.15,3.2,3.2,0.16,0.16,19.6,13.0,0.0,48.1,0.66,0.07,0.15,0.12,-1.2,-1.2,857.0,992.0,86.4,12183.0,4072.0,523.0,569.0,91.9,268.0,314.0,85.4,38.0,53.0,71.7,20.0,51.0,19.0,11.0,78.0,866.0,125.0,10.0,0.0,6.0,24.0,0.0,0.0,0.0,0.0,115.0,1.0,18.0,49.0,2.5,42.0,1.0,1.0,5.0,0.0,4.0,0.2,4.0,0.0,0.0,0.0,0.0,0.0,28.0,17.0,12.0,14.0,2.0,13.0,23.0,56.5,10.0,8.0,1.0,7.0,17.0,9.0,0.0,1147.0,24.0,218.0,498.0,439.0,67.0,1147.0,5.0,13.0,38.5,681.0,41.0,30.0,7.0,812.0,28.0,12.0,0.0,20.0,8.0,3.0,0.0,1.0,0.0,65.0,23.0,20.0,53.5
-Eduardo Henrique,br BRA,MF,Crotone,25,1995,18.0,8.0,924.0,1.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,0.9,0.9,0.09,0.09,10.3,1.0,0.0,11.1,0.1,0.11,1.0,0.1,0.1,0.1,325.0,398.0,81.7,4600.0,1422.0,182.0,205.0,88.8,111.0,130.0,85.4,14.0,25.0,56.0,6.0,35.0,4.0,0.0,43.0,389.0,9.0,6.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,5.0,11.0,1.07,8.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,4.0,0.0,3.0,12.0,25.0,9.0,6.0,1.0,5.0,7.0,7.0,1.0,479.0,11.0,95.0,300.0,89.0,13.0,479.0,13.0,20.0,65.0,288.0,15.0,11.0,2.0,347.0,9.0,17.0,0.0,18.0,14.0,1.0,0.0,0.0,0.0,54.0,9.0,19.0,32.1
-Theo Hernández,fr FRA,DF,Milan,22,1997,33.0,33.0,2933.0,7.0,5.0,0.0,0.0,9.0,0.0,0.21,0.15,0.37,0.21,0.37,4.3,4.3,0.13,0.13,32.6,13.0,3.0,27.7,0.4,0.15,0.54,0.09,2.7,2.7,1527.0,1891.0,80.8,23126.0,8040.0,878.0,970.0,90.5,495.0,599.0,82.6,103.0,182.0,56.6,42.0,125.0,42.0,13.0,133.0,1611.0,271.0,41.0,1.0,13.0,76.0,8.0,0.0,8.0,0.0,222.0,9.0,44.0,94.0,2.88,65.0,4.0,7.0,5.0,11.0,15.0,0.46,12.0,0.0,0.0,1.0,1.0,1.0,48.0,29.0,22.0,21.0,5.0,19.0,38.0,50.0,19.0,29.0,6.0,23.0,34.0,64.0,5.0,2287.0,107.0,548.0,1107.0,673.0,84.0,2287.0,73.0,119.0,61.3,1352.0,146.0,101.0,28.0,1485.0,62.0,27.0,0.0,39.0,81.0,6.0,2.0,0.0,0.0,211.0,50.0,25.0,66.7
-Hernani,br BRA,MF,Parma,26,1994,33.0,27.0,2189.0,7.0,3.0,1.0,1.0,11.0,0.0,0.29,0.12,0.41,0.25,0.37,3.4,2.6,0.14,0.11,24.3,8.0,7.0,25.0,0.33,0.19,0.75,0.08,3.6,3.4,845.0,1080.0,78.2,15986.0,4108.0,358.0,410.0,87.3,320.0,383.0,83.6,139.0,198.0,70.2,36.0,92.0,20.0,8.0,116.0,984.0,91.0,48.0,1.0,22.0,85.0,31.0,10.0,15.0,0.0,12.0,5.0,31.0,72.0,2.96,43.0,14.0,4.0,5.0,3.0,5.0,0.21,3.0,1.0,1.0,0.0,0.0,0.0,51.0,25.0,21.0,27.0,3.0,29.0,66.0,43.9,37.0,35.0,4.0,31.0,31.0,40.0,1.0,1384.0,54.0,284.0,757.0,356.0,26.0,1383.0,36.0,53.0,67.9,711.0,51.0,38.0,4.0,884.0,39.0,27.0,0.0,50.0,23.0,1.0,0.0,0.0,0.0,108.0,29.0,21.0,58.0
-Përparim Hetemaj,fi FIN,MF,Benevento,33,1986,31.0,27.0,2212.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,0.6,0.6,0.02,0.02,24.6,3.0,0.0,25.0,0.12,0.0,0.0,0.05,-0.6,-0.6,656.0,869.0,75.5,10388.0,3115.0,338.0,402.0,84.1,248.0,306.0,81.0,45.0,96.0,46.9,14.0,46.0,20.0,6.0,88.0,842.0,26.0,14.0,0.0,6.0,43.0,0.0,0.0,0.0,0.0,12.0,1.0,21.0,32.0,1.3,29.0,0.0,1.0,0.0,2.0,3.0,0.12,3.0,0.0,0.0,0.0,0.0,0.0,44.0,27.0,21.0,18.0,5.0,26.0,61.0,42.6,35.0,41.0,5.0,36.0,22.0,24.0,1.0,1122.0,27.0,271.0,610.0,258.0,22.0,1122.0,18.0,34.0,52.9,605.0,27.0,23.0,1.0,701.0,35.0,28.0,0.0,41.0,78.0,1.0,0.0,0.0,0.0,158.0,14.0,28.0,33.3
-Aaron Hickey,sct SCO,DF,Bologna,18,2002,11.0,10.0,758.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,8.4,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,337.0,397.0,84.9,5489.0,1742.0,160.0,174.0,92.0,142.0,165.0,86.1,21.0,34.0,61.8,2.0,30.0,3.0,1.0,36.0,314.0,81.0,13.0,0.0,3.0,7.0,0.0,0.0,0.0,0.0,68.0,2.0,6.0,7.0,0.83,6.0,0.0,0.0,1.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,0.0,12.0,8.0,10.0,2.0,0.0,7.0,17.0,41.2,10.0,6.0,1.0,5.0,15.0,15.0,1.0,495.0,26.0,149.0,235.0,115.0,8.0,495.0,7.0,16.0,43.8,282.0,21.0,17.0,4.0,268.0,16.0,8.0,0.0,11.0,14.0,0.0,0.0,0.0,0.0,51.0,6.0,5.0,54.5
-Wesley Hoedt,nl NED,DF,Lazio,26,1994,17.0,10.0,952.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.6,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,609.0,680.0,89.6,14302.0,5058.0,118.0,134.0,88.1,355.0,371.0,95.7,133.0,169.0,78.7,3.0,54.0,0.0,0.0,48.0,659.0,19.0,12.0,0.0,15.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,10.0,0.94,8.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,16.0,18.0,4.0,0.0,10.0,17.0,58.8,7.0,9.0,5.0,4.0,17.0,48.0,1.0,796.0,108.0,386.0,403.0,12.0,4.0,796.0,3.0,4.0,75.0,488.0,2.0,2.0,1.0,530.0,4.0,1.0,0.0,11.0,2.0,0.0,0.0,2.0,0.0,76.0,19.0,9.0,67.9
-Elseid Hysaj,al ALB,DF,Napoli,26,1994,24.0,20.0,1768.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.1,0.1,0.0,0.1,0.3,0.3,0.01,0.01,19.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.3,-0.3,1029.0,1226.0,83.9,15509.0,5056.0,586.0,650.0,90.2,330.0,382.0,86.4,73.0,118.0,61.9,15.0,79.0,10.0,1.0,86.0,1049.0,172.0,27.0,2.0,9.0,18.0,0.0,0.0,0.0,0.0,145.0,5.0,22.0,39.0,1.99,35.0,0.0,2.0,1.0,0.0,4.0,0.2,4.0,0.0,0.0,0.0,0.0,0.0,29.0,17.0,16.0,11.0,2.0,17.0,33.0,51.5,16.0,18.0,4.0,14.0,30.0,52.0,0.0,1407.0,77.0,429.0,751.0,242.0,14.0,1407.0,22.0,33.0,66.7,834.0,49.0,37.0,7.0,910.0,24.0,6.0,0.0,16.0,20.0,0.0,0.0,1.0,0.0,116.0,18.0,13.0,58.1
-Simone Iacoponi,it ITA,DF,Parma,33,1987,16.0,13.0,1193.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,13.3,1.0,0.0,33.3,0.08,0.0,0.0,0.04,-0.1,-0.1,645.0,750.0,86.0,13146.0,5179.0,219.0,232.0,94.4,318.0,353.0,90.1,104.0,140.0,74.3,0.0,46.0,2.0,0.0,57.0,670.0,78.0,27.0,0.0,9.0,13.0,0.0,0.0,0.0,0.0,50.0,2.0,13.0,6.0,0.45,3.0,1.0,1.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,22.0,12.0,16.0,5.0,1.0,13.0,26.0,50.0,13.0,9.0,4.0,5.0,11.0,42.0,1.0,853.0,91.0,386.0,392.0,81.0,6.0,853.0,3.0,4.0,75.0,510.0,7.0,7.0,0.0,562.0,8.0,0.0,0.0,15.0,14.0,2.0,0.0,0.0,2.0,72.0,12.0,9.0,57.1
-Roger Ibanez,br BRA,DF,Roma,21,1998,30.0,28.0,2398.0,0.0,2.0,0.0,0.0,7.0,1.0,0.0,0.08,0.08,0.0,0.08,1.2,1.2,0.05,0.05,26.6,4.0,0.0,25.0,0.15,0.0,0.0,0.08,-1.2,-1.2,1434.0,1649.0,87.0,27017.0,9121.0,539.0,589.0,91.5,732.0,786.0,93.1,148.0,229.0,64.6,11.0,104.0,3.0,0.0,104.0,1565.0,82.0,73.0,2.0,19.0,5.0,0.0,0.0,0.0,0.0,6.0,2.0,10.0,29.0,1.13,20.0,1.0,2.0,2.0,0.0,5.0,0.19,5.0,0.0,0.0,0.0,0.0,0.0,59.0,37.0,28.0,25.0,6.0,25.0,45.0,55.6,20.0,38.0,17.0,21.0,68.0,78.0,3.0,1960.0,175.0,801.0,1094.0,87.0,20.0,1960.0,16.0,23.0,69.6,1130.0,40.0,26.0,5.0,1290.0,21.0,8.0,1.0,53.0,30.0,0.0,0.0,1.0,1.0,187.0,56.0,36.0,60.9
-Zlatan Ibrahimović,se SWE,FW,Milan,38,1981,19.0,18.0,1493.0,15.0,2.0,3.0,6.0,2.0,1.0,0.9,0.12,1.02,0.72,0.84,16.2,11.9,0.98,0.72,16.6,34.0,7.0,45.3,2.05,0.16,0.35,0.16,-1.2,0.1,380.0,544.0,69.9,5184.0,1472.0,222.0,298.0,74.5,108.0,143.0,75.5,20.0,31.0,64.5,20.0,37.0,21.0,0.0,61.0,494.0,46.0,4.0,5.0,1.0,15.0,3.0,0.0,0.0,0.0,3.0,4.0,17.0,65.0,3.92,37.0,0.0,4.0,16.0,7.0,12.0,0.72,5.0,0.0,1.0,5.0,1.0,0.0,5.0,4.0,0.0,4.0,1.0,3.0,6.0,50.0,3.0,5.0,3.0,2.0,6.0,27.0,1.0,742.0,33.0,38.0,297.0,413.0,144.0,736.0,11.0,22.0,50.0,356.0,31.0,27.0,11.0,584.0,32.0,11.0,0.0,33.0,25.0,40.0,2.0,0.0,0.0,21.0,83.0,41.0,66.9
-Igor,br BRA,DF,Fiorentina,22,1998,21.0,13.0,1168.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,13.0,1.0,0.0,100.0,0.08,0.0,0.0,0.26,-0.3,-0.3,722.0,814.0,88.7,13697.0,4698.0,248.0,272.0,91.2,398.0,431.0,92.3,68.0,92.0,73.9,3.0,48.0,4.0,1.0,78.0,758.0,55.0,28.0,0.0,8.0,4.0,0.0,0.0,0.0,0.0,27.0,1.0,4.0,13.0,1.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,9.0,6.0,0.0,7.0,12.0,58.3,5.0,17.0,9.0,8.0,23.0,34.0,0.0,924.0,61.0,307.0,552.0,73.0,4.0,924.0,7.0,8.0,87.5,595.0,27.0,13.0,0.0,645.0,6.0,6.0,0.0,21.0,6.0,1.0,0.0,1.0,0.0,59.0,10.0,13.0,43.5
-Ivan Ilić,rs SRB,MF,Hellas Verona,19,2001,29.0,19.0,1835.0,2.0,0.0,0.0,0.0,2.0,0.0,0.1,0.0,0.1,0.1,0.1,1.6,1.6,0.08,0.08,20.4,3.0,1.0,25.0,0.15,0.17,0.67,0.14,0.4,0.4,959.0,1150.0,83.4,16820.0,4490.0,410.0,462.0,88.7,451.0,499.0,90.4,80.0,137.0,58.4,17.0,108.0,14.0,2.0,134.0,1061.0,83.0,57.0,0.0,5.0,40.0,22.0,10.0,11.0,0.0,1.0,6.0,18.0,47.0,2.32,32.0,4.0,2.0,2.0,7.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,26.0,14.0,11.0,11.0,4.0,7.0,21.0,33.3,14.0,17.0,5.0,12.0,27.0,26.0,0.0,1327.0,37.0,216.0,873.0,255.0,13.0,1327.0,30.0,40.0,75.0,747.0,38.0,29.0,1.0,877.0,26.0,13.0,0.0,23.0,29.0,0.0,0.0,0.0,0.0,125.0,35.0,25.0,58.3
-Josip Iličić,si SVN,"MF,FW",Atalanta,32,1988,28.0,17.0,1526.0,6.0,9.0,2.0,2.0,2.0,0.0,0.35,0.53,0.88,0.24,0.77,4.9,3.3,0.29,0.2,17.0,17.0,4.0,29.8,1.0,0.07,0.24,0.06,1.1,0.7,729.0,1009.0,72.2,12576.0,4094.0,362.0,434.0,83.4,247.0,324.0,76.2,92.0,170.0,54.1,61.0,83.0,70.0,12.0,144.0,921.0,86.0,29.0,9.0,25.0,97.0,44.0,21.0,14.0,0.0,9.0,2.0,30.0,110.0,6.5,81.0,10.0,7.0,5.0,7.0,18.0,1.06,12.0,0.0,2.0,2.0,2.0,0.0,9.0,4.0,1.0,5.0,3.0,5.0,21.0,23.8,16.0,12.0,0.0,12.0,2.0,0.0,1.0,1269.0,1.0,56.0,471.0,750.0,99.0,1267.0,57.0,100.0,57.0,932.0,88.0,75.0,37.0,1076.0,74.0,45.0,0.0,22.0,71.0,8.0,2.0,0.0,0.0,75.0,0.0,18.0,0.0
-Ciro Immobile,it ITA,FW,Lazio,30,1990,35.0,34.0,2849.0,20.0,6.0,4.0,8.0,4.0,1.0,0.63,0.19,0.82,0.51,0.69,19.8,13.6,0.63,0.43,31.7,44.0,0.0,39.3,1.39,0.14,0.36,0.12,0.2,2.4,651.0,897.0,72.6,8700.0,1781.0,393.0,488.0,80.5,155.0,214.0,72.4,41.0,65.0,63.1,53.0,36.0,32.0,1.0,84.0,867.0,27.0,3.0,3.0,3.0,18.0,6.0,4.0,1.0,0.0,10.0,3.0,31.0,118.0,3.73,86.0,0.0,10.0,14.0,8.0,15.0,0.47,8.0,0.0,1.0,2.0,4.0,0.0,14.0,13.0,4.0,6.0,4.0,7.0,22.0,31.8,15.0,13.0,1.0,12.0,6.0,9.0,0.0,1218.0,10.0,94.0,443.0,692.0,207.0,1210.0,27.0,47.0,57.4,700.0,74.0,43.0,38.0,968.0,71.0,34.0,0.0,37.0,44.0,30.0,3.0,0.0,0.0,79.0,26.0,54.0,32.5
-Riccardo Improta,it ITA,"DF,MF",Benevento,26,1993,34.0,23.0,2335.0,1.0,0.0,0.0,0.0,7.0,0.0,0.04,0.0,0.04,0.04,0.04,2.0,2.0,0.08,0.08,25.9,6.0,0.0,17.1,0.23,0.03,0.17,0.06,-1.0,-1.0,658.0,936.0,70.3,10025.0,4208.0,362.0,428.0,84.6,213.0,291.0,73.2,51.0,116.0,44.0,21.0,66.0,33.0,18.0,81.0,853.0,80.0,8.0,0.0,2.0,77.0,0.0,0.0,0.0,0.0,71.0,3.0,46.0,60.0,2.31,50.0,2.0,2.0,4.0,2.0,4.0,0.15,4.0,0.0,0.0,0.0,0.0,0.0,39.0,23.0,25.0,8.0,6.0,21.0,45.0,46.7,24.0,23.0,4.0,19.0,28.0,47.0,0.0,1205.0,70.0,297.0,499.0,423.0,53.0,1205.0,24.0,38.0,63.2,665.0,58.0,50.0,10.0,788.0,35.0,19.0,0.0,23.0,55.0,2.0,0.0,0.0,1.0,121.0,49.0,49.0,50.0
-Roberto Inglese,it ITA,FW,Parma,28,1991,14.0,6.0,576.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.31,0.31,0.0,0.31,0.8,0.8,0.13,0.13,6.4,5.0,0.0,62.5,0.78,0.0,0.0,0.1,-0.8,-0.8,74.0,116.0,63.8,1023.0,170.0,45.0,61.0,73.8,21.0,34.0,61.8,2.0,4.0,50.0,4.0,5.0,2.0,0.0,9.0,100.0,16.0,0.0,1.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,1.25,5.0,0.0,1.0,2.0,0.0,2.0,0.31,2.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,2.0,2.0,2.0,11.0,18.2,9.0,10.0,0.0,10.0,0.0,3.0,0.0,197.0,4.0,19.0,111.0,71.0,13.0,197.0,8.0,15.0,53.3,111.0,1.0,2.0,2.0,144.0,39.0,12.0,0.0,14.0,10.0,8.0,0.0,0.0,0.0,19.0,15.0,15.0,50.0
-Lorenzo Insigne,it ITA,FW,Napoli,29,1991,35.0,33.0,2865.0,19.0,8.0,7.0,8.0,2.0,1.0,0.6,0.25,0.85,0.38,0.63,15.6,9.3,0.49,0.29,31.8,40.0,13.0,29.4,1.26,0.09,0.3,0.07,3.4,2.7,1486.0,1872.0,79.4,24219.0,6030.0,824.0,906.0,90.9,437.0,555.0,78.7,161.0,265.0,60.8,63.0,115.0,84.0,11.0,192.0,1682.0,174.0,64.0,10.0,48.0,113.0,64.0,36.0,2.0,0.0,40.0,16.0,36.0,164.0,5.16,113.0,12.0,15.0,21.0,2.0,17.0,0.53,11.0,1.0,2.0,3.0,0.0,0.0,26.0,18.0,8.0,12.0,6.0,13.0,72.0,18.1,59.0,30.0,1.0,29.0,37.0,6.0,1.0,2280.0,22.0,250.0,1028.0,1040.0,143.0,2272.0,65.0,105.0,61.9,1469.0,138.0,95.0,54.0,1710.0,63.0,34.0,0.0,9.0,39.0,11.0,0.0,0.0,0.0,199.0,2.0,5.0,28.6
-Roberto Insigne,it ITA,"MF,FW",Benevento,26,1994,30.0,17.0,1599.0,2.0,4.0,0.0,0.0,2.0,0.0,0.11,0.23,0.34,0.11,0.34,3.9,3.9,0.22,0.22,17.8,12.0,0.0,31.6,0.68,0.05,0.17,0.1,-1.9,-1.9,497.0,625.0,79.5,8037.0,1900.0,268.0,305.0,87.9,149.0,183.0,81.4,58.0,91.0,63.7,40.0,28.0,25.0,4.0,47.0,567.0,57.0,17.0,1.0,4.0,47.0,33.0,5.0,20.0,0.0,5.0,1.0,12.0,77.0,4.33,52.0,13.0,4.0,7.0,1.0,8.0,0.45,6.0,0.0,1.0,1.0,0.0,0.0,16.0,10.0,8.0,3.0,5.0,7.0,27.0,25.9,20.0,10.0,0.0,10.0,7.0,9.0,0.0,775.0,12.0,96.0,332.0,361.0,62.0,775.0,19.0,29.0,65.5,496.0,43.0,31.0,16.0,561.0,37.0,14.0,0.0,13.0,15.0,3.0,0.0,0.0,0.0,79.0,5.0,19.0,20.8
-Artur Ioniță,md MDA,MF,Benevento,29,1990,36.0,34.0,2835.0,2.0,0.0,0.0,0.0,6.0,0.0,0.06,0.0,0.06,0.06,0.06,1.7,1.7,0.05,0.05,31.5,7.0,0.0,30.4,0.22,0.09,0.29,0.07,0.3,0.3,574.0,754.0,76.1,8316.0,2105.0,326.0,383.0,85.1,184.0,231.0,79.7,28.0,52.0,53.8,13.0,44.0,12.0,3.0,64.0,738.0,12.0,9.0,0.0,4.0,25.0,0.0,0.0,0.0,0.0,3.0,4.0,25.0,28.0,0.89,24.0,0.0,1.0,0.0,2.0,4.0,0.13,3.0,0.0,0.0,0.0,1.0,0.0,47.0,22.0,11.0,31.0,5.0,17.0,63.0,27.0,46.0,38.0,14.0,24.0,19.0,28.0,0.0,1017.0,45.0,217.0,577.0,239.0,28.0,1017.0,17.0,25.0,68.0,465.0,30.0,24.0,1.0,562.0,27.0,22.0,0.0,59.0,23.0,1.0,2.0,0.0,0.0,125.0,65.0,91.0,41.7
-Ardian Ismajli,al ALB,DF,Spezia,23,1996,17.0,14.0,1297.0,1.0,1.0,0.0,0.0,3.0,1.0,0.07,0.07,0.14,0.07,0.14,0.7,0.7,0.05,0.05,14.4,1.0,0.0,16.7,0.07,0.17,1.0,0.11,0.3,0.3,639.0,737.0,86.7,13578.0,3747.0,157.0,177.0,88.7,397.0,427.0,93.0,83.0,122.0,68.0,2.0,30.0,0.0,0.0,40.0,705.0,31.0,29.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,9.0,0.62,5.0,0.0,0.0,3.0,0.0,4.0,0.28,1.0,0.0,0.0,2.0,0.0,1.0,19.0,9.0,10.0,8.0,1.0,8.0,13.0,61.5,5.0,10.0,7.0,3.0,23.0,52.0,1.0,855.0,67.0,418.0,425.0,13.0,6.0,855.0,0.0,0.0,0.0,524.0,4.0,3.0,0.0,542.0,2.0,2.0,1.0,19.0,13.0,0.0,0.0,0.0,0.0,68.0,40.0,28.0,58.8
-Armando Izzo,it ITA,DF,Torino,28,1992,25.0,24.0,2004.0,2.0,0.0,0.0,0.0,3.0,0.0,0.09,0.0,0.09,0.09,0.09,1.5,1.5,0.07,0.07,22.3,3.0,0.0,17.6,0.13,0.12,0.67,0.09,0.5,0.5,973.0,1207.0,80.6,18053.0,6186.0,424.0,466.0,91.0,384.0,451.0,85.1,147.0,250.0,58.8,5.0,77.0,8.0,6.0,103.0,1122.0,82.0,63.0,0.0,15.0,22.0,0.0,0.0,0.0,0.0,19.0,3.0,7.0,35.0,1.57,24.0,1.0,3.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,16.0,13.0,13.0,4.0,13.0,33.0,39.4,20.0,22.0,9.0,13.0,53.0,62.0,0.0,1429.0,98.0,543.0,746.0,151.0,33.0,1429.0,12.0,18.0,66.7,808.0,35.0,22.0,1.0,896.0,17.0,8.0,0.0,43.0,35.0,2.0,0.0,1.0,0.0,134.0,48.0,37.0,56.5
-Mato Jajalo,ba BIH,MF,Udinese,32,1988,1.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,32.0,71.9,313.0,104.0,12.0,14.0,85.7,10.0,13.0,76.9,0.0,2.0,0.0,0.0,2.0,0.0,0.0,1.0,30.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,35.0,2.0,11.0,20.0,4.0,0.0,35.0,0.0,0.0,0.0,15.0,0.0,2.0,0.0,20.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Jakub Jankto,cz CZE,MF,Sampdoria,24,1996,35.0,29.0,2409.0,6.0,3.0,0.0,0.0,6.0,0.0,0.22,0.11,0.34,0.22,0.34,4.6,4.6,0.17,0.17,26.8,10.0,0.0,25.6,0.37,0.15,0.6,0.12,1.4,1.4,621.0,920.0,67.5,9938.0,2659.0,337.0,426.0,79.1,214.0,291.0,73.5,52.0,133.0,39.1,34.0,48.0,27.0,8.0,88.0,861.0,47.0,11.0,2.0,4.0,81.0,14.0,5.0,8.0,0.0,22.0,12.0,28.0,62.0,2.32,41.0,8.0,3.0,5.0,4.0,7.0,0.26,6.0,0.0,1.0,0.0,0.0,0.0,28.0,17.0,14.0,7.0,7.0,11.0,35.0,31.4,24.0,16.0,1.0,15.0,24.0,34.0,0.0,1175.0,37.0,225.0,525.0,438.0,76.0,1175.0,10.0,26.0,38.5,645.0,52.0,36.0,19.0,795.0,39.0,34.0,0.0,18.0,28.0,7.0,0.0,1.0,0.0,141.0,9.0,22.0,29.0
-Juan Jesus,br BRA,DF,Roma,29,1991,5.0,0.0,157.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,122.0,133.0,91.7,2356.0,963.0,37.0,39.0,94.9,72.0,75.0,96.0,11.0,14.0,78.6,0.0,3.0,0.0,0.0,5.0,125.0,7.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,2.0,4.0,50.0,2.0,1.0,0.0,1.0,2.0,5.0,0.0,143.0,16.0,66.0,76.0,1.0,0.0,143.0,1.0,1.0,100.0,86.0,1.0,2.0,0.0,112.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,2.0,50.0
-Hamed Junior Traorè,ci CIV,"MF,FW",Sassuolo,20,2000,35.0,20.0,1789.0,5.0,2.0,0.0,0.0,6.0,0.0,0.25,0.1,0.35,0.25,0.35,4.1,4.1,0.2,0.2,19.9,14.0,1.0,32.6,0.7,0.12,0.36,0.09,0.9,0.9,637.0,853.0,74.7,9347.0,2451.0,380.0,444.0,85.6,178.0,230.0,77.4,47.0,91.0,51.6,35.0,48.0,22.0,0.0,79.0,779.0,67.0,11.0,1.0,11.0,62.0,48.0,16.0,20.0,0.0,5.0,7.0,25.0,75.0,3.77,45.0,13.0,10.0,2.0,3.0,8.0,0.4,4.0,0.0,1.0,1.0,1.0,1.0,29.0,17.0,10.0,10.0,9.0,14.0,35.0,40.0,21.0,27.0,3.0,24.0,18.0,9.0,0.0,1100.0,18.0,149.0,450.0,517.0,61.0,1100.0,52.0,76.0,68.4,616.0,45.0,45.0,12.0,781.0,55.0,26.0,0.0,25.0,19.0,3.0,1.0,0.0,0.0,77.0,13.0,20.0,39.4
-Musa Juwara,gm GAM,"MF,DF",Bologna,18,2001,5.0,0.0,46.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.5,1.0,0.0,100.0,1.96,0.0,0.0,0.03,0.0,0.0,21.0,31.0,67.7,340.0,108.0,12.0,12.0,100.0,8.0,12.0,66.7,1.0,4.0,25.0,0.0,3.0,0.0,0.0,2.0,26.0,4.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,1.0,1.96,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,3.0,33.3,2.0,1.0,0.0,1.0,0.0,0.0,0.0,41.0,0.0,5.0,19.0,17.0,3.0,41.0,2.0,3.0,66.7,25.0,3.0,4.0,0.0,31.0,3.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Nikola Kalinić,hr CRO,FW,Hellas Verona,32,1988,19.0,15.0,1063.0,2.0,0.0,0.0,0.0,2.0,0.0,0.17,0.0,0.17,0.17,0.17,4.1,4.1,0.35,0.35,11.8,7.0,0.0,29.2,0.59,0.08,0.29,0.17,-2.1,-2.1,157.0,228.0,68.9,2050.0,274.0,103.0,128.0,80.5,36.0,54.0,66.7,5.0,9.0,55.6,7.0,5.0,4.0,0.0,19.0,198.0,29.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,17.0,17.0,1.44,13.0,0.0,0.0,2.0,2.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,2.0,1.0,0.0,3.0,0.0,3.0,6.0,0.0,6.0,1.0,7.0,0.0,332.0,7.0,15.0,149.0,173.0,43.0,332.0,5.0,9.0,55.6,212.0,7.0,5.0,3.0,277.0,35.0,13.0,0.0,27.0,34.0,10.0,0.0,0.0,0.0,22.0,17.0,51.0,25.0
-Yayah Kallon,sl SLE,FW,Genoa,19,2001,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.17,0.17,0.5,1.0,0.0,50.0,2.0,0.0,0.0,0.04,-0.1,-0.1,7.0,9.0,77.8,79.0,28.0,6.0,7.0,85.7,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,7.0,8.0,3.0,15.0,1.0,3.0,33.3,11.0,3.0,2.0,2.0,12.0,0.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,2.0,1.0,66.7
-Pierre Kalulu,fr FRA,DF,Milan,20,2000,13.0,7.0,727.0,1.0,1.0,0.0,0.0,1.0,0.0,0.12,0.12,0.25,0.12,0.25,0.9,0.9,0.11,0.11,8.1,1.0,0.0,33.3,0.12,0.33,1.0,0.3,0.1,0.1,422.0,496.0,85.1,6825.0,2546.0,182.0,197.0,92.4,211.0,237.0,89.0,16.0,36.0,44.4,6.0,26.0,3.0,1.0,40.0,457.0,37.0,7.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,25.0,2.0,6.0,9.0,1.11,8.0,0.0,0.0,1.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,0.0,18.0,14.0,11.0,6.0,1.0,10.0,14.0,71.4,4.0,9.0,3.0,6.0,19.0,20.0,0.0,579.0,45.0,241.0,276.0,71.0,7.0,579.0,3.0,4.0,75.0,352.0,18.0,12.0,1.0,368.0,4.0,1.0,0.0,9.0,2.0,0.0,0.0,1.0,0.0,51.0,11.0,13.0,45.8
-Yann Karamoh,fr FRA,"FW,MF",Parma,22,1998,24.0,16.0,1294.0,2.0,1.0,0.0,0.0,3.0,0.0,0.14,0.07,0.21,0.14,0.21,4.2,4.2,0.29,0.29,14.4,10.0,0.0,45.5,0.7,0.09,0.2,0.19,-2.2,-2.2,275.0,364.0,75.5,4007.0,806.0,158.0,188.0,84.0,78.0,101.0,77.2,21.0,29.0,72.4,15.0,21.0,14.0,3.0,33.0,355.0,4.0,0.0,2.0,3.0,21.0,1.0,0.0,0.0,0.0,3.0,5.0,16.0,39.0,2.71,26.0,0.0,5.0,4.0,4.0,4.0,0.28,2.0,0.0,0.0,1.0,1.0,0.0,27.0,17.0,8.0,12.0,7.0,11.0,31.0,35.5,20.0,6.0,0.0,6.0,4.0,11.0,0.0,522.0,12.0,74.0,215.0,254.0,48.0,522.0,38.0,55.0,69.1,348.0,45.0,43.0,13.0,371.0,44.0,22.0,0.0,14.0,13.0,7.0,1.0,0.0,0.0,69.0,8.0,13.0,38.1
-Isaac Karamoko,fr FRA,DF,Sassuolo,18,2002,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,9.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Augustus Kargbo,sl SLE,FW,Crotone,20,1999,1.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,70.0,2.0,4.0,4.0,100.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,1.0,6.0,9.0,0.0,16.0,1.0,2.0,50.0,10.0,0.0,0.0,0.0,13.0,5.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Rick Karsdorp,nl NED,DF,Roma,25,1995,34.0,28.0,2544.0,1.0,6.0,0.0,0.0,2.0,0.0,0.04,0.21,0.25,0.04,0.25,1.0,1.0,0.04,0.04,28.3,4.0,0.0,30.8,0.14,0.08,0.25,0.08,0.0,0.0,1070.0,1298.0,82.4,18576.0,4636.0,462.0,523.0,88.3,516.0,588.0,87.8,75.0,132.0,56.8,24.0,62.0,35.0,8.0,97.0,1106.0,190.0,11.0,2.0,4.0,55.0,0.0,0.0,0.0,0.0,179.0,2.0,29.0,43.0,1.56,38.0,0.0,2.0,3.0,0.0,8.0,0.29,7.0,0.0,1.0,0.0,0.0,0.0,36.0,23.0,19.0,12.0,5.0,21.0,48.0,43.8,27.0,18.0,1.0,17.0,30.0,32.0,0.0,1462.0,57.0,377.0,678.0,425.0,40.0,1462.0,18.0,23.0,78.3,737.0,32.0,26.0,5.0,932.0,19.0,12.0,0.0,36.0,13.0,3.0,0.0,0.0,0.0,141.0,6.0,21.0,22.2
-Franck Kessié,ci CIV,MF,Milan,23,1996,37.0,36.0,3226.0,13.0,4.0,11.0,13.0,8.0,0.0,0.36,0.11,0.47,0.06,0.17,14.0,3.8,0.39,0.11,35.8,8.0,0.0,22.2,0.22,0.06,0.25,0.11,-1.0,-1.8,1781.0,2022.0,88.1,30782.0,7900.0,801.0,880.0,91.0,768.0,824.0,93.2,169.0,225.0,75.1,31.0,182.0,21.0,1.0,171.0,1956.0,57.0,51.0,0.0,19.0,13.0,0.0,0.0,0.0,0.0,6.0,9.0,16.0,85.0,2.37,70.0,1.0,2.0,7.0,3.0,8.0,0.22,5.0,0.0,0.0,1.0,1.0,1.0,53.0,30.0,28.0,19.0,6.0,20.0,38.0,52.6,18.0,47.0,15.0,32.0,46.0,51.0,0.0,2425.0,115.0,579.0,1441.0,442.0,89.0,2412.0,43.0,54.0,79.6,1426.0,64.0,51.0,6.0,1692.0,53.0,40.0,0.0,65.0,40.0,1.0,1.0,1.0,0.0,269.0,56.0,45.0,55.4
-Omar Khailoti,it ITA,DF,Bologna,18,2001,1.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,20.0,85.0,211.0,44.0,12.0,13.0,92.3,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,22.0,2.0,7.0,8.0,7.0,0.0,22.0,0.0,0.0,0.0,19.0,0.0,1.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Simon Kjær,dk DEN,DF,Milan,31,1989,28.0,28.0,2393.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,1.6,1.6,0.06,0.06,26.6,2.0,1.0,12.5,0.08,0.0,0.0,0.1,-1.6,-1.6,1303.0,1489.0,87.5,26908.0,9646.0,382.0,416.0,91.8,721.0,762.0,94.6,185.0,273.0,67.8,7.0,72.0,2.0,0.0,73.0,1400.0,82.0,62.0,1.0,19.0,3.0,0.0,0.0,0.0,0.0,2.0,7.0,8.0,16.0,0.6,13.0,1.0,0.0,2.0,0.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,0.0,45.0,26.0,23.0,20.0,2.0,18.0,30.0,60.0,12.0,42.0,26.0,16.0,42.0,125.0,0.0,1781.0,261.0,942.0,809.0,40.0,20.0,1781.0,0.0,0.0,0.0,962.0,8.0,4.0,2.0,1160.0,10.0,0.0,0.0,26.0,10.0,1.0,0.0,0.0,0.0,126.0,54.0,43.0,55.7
-Ragnar Klavan,ee EST,DF,Cagliari,34,1985,15.0,9.0,770.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.04,0.04,8.6,1.0,0.0,16.7,0.12,0.0,0.0,0.06,-0.4,-0.4,343.0,402.0,85.3,6545.0,2399.0,124.0,140.0,88.6,180.0,193.0,93.3,36.0,59.0,61.0,1.0,17.0,0.0,0.0,20.0,374.0,27.0,21.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,5.0,3.0,0.35,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,9.0,5.0,1.0,7.0,11.0,63.6,4.0,9.0,4.0,5.0,8.0,34.0,0.0,492.0,67.0,265.0,207.0,23.0,6.0,492.0,0.0,0.0,0.0,248.0,2.0,5.0,0.0,299.0,8.0,0.0,0.0,8.0,1.0,0.0,0.0,1.0,0.0,39.0,12.0,14.0,46.2
-Justin Kluivert,nl NED,MF,Roma,21,1999,2.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,7.0,57.1,120.0,32.0,1.0,3.0,33.3,1.0,2.0,50.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,2.0,7.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,3.0,5.0,2.0,0.0,10.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Aleksandr Kokorin,ru RUS,"FW,MF",Fiorentina,29,1991,4.0,0.0,94.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,31.0,83.9,283.0,40.0,18.0,18.0,100.0,5.0,6.0,83.3,0.0,1.0,0.0,0.0,1.0,0.0,0.0,3.0,29.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.95,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,0.0,4.0,13.0,16.0,1.0,33.0,0.0,0.0,0.0,20.0,2.0,2.0,1.0,23.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0
-Aleksandar Kolarov,rs SRB,DF,Inter,34,1985,7.0,4.0,390.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.23,0.23,0.0,0.23,0.1,0.1,0.03,0.03,4.3,2.0,0.0,33.3,0.46,0.0,0.0,0.02,-0.1,-0.1,310.0,366.0,84.7,5768.0,1880.0,141.0,153.0,92.2,137.0,155.0,88.4,32.0,52.0,61.5,6.0,33.0,4.0,1.0,41.0,333.0,33.0,7.0,0.0,8.0,18.0,7.0,4.0,2.0,0.0,14.0,0.0,5.0,15.0,3.46,11.0,2.0,0.0,1.0,0.0,2.0,0.46,1.0,1.0,0.0,0.0,0.0,0.0,4.0,4.0,0.0,4.0,0.0,1.0,2.0,50.0,1.0,2.0,0.0,2.0,7.0,8.0,0.0,398.0,25.0,109.0,221.0,70.0,1.0,398.0,0.0,3.0,0.0,250.0,14.0,14.0,0.0,276.0,3.0,0.0,0.0,3.0,4.0,0.0,0.0,1.0,0.0,30.0,11.0,6.0,64.7
-Márk Kosznovszky,hu HUN,MF,Parma,18,2002,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.34,0.34,1.0,1.0,0.0,100.0,1.0,0.0,0.0,0.34,-0.3,-0.3,37.0,39.0,94.9,548.0,87.0,20.0,20.0,100.0,16.0,17.0,94.1,1.0,1.0,100.0,0.0,2.0,0.0,0.0,2.0,37.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,3.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,4.0,25.0,3.0,2.0,0.0,2.0,1.0,1.0,0.0,49.0,1.0,11.0,20.0,18.0,1.0,49.0,0.0,0.0,0.0,24.0,2.0,1.0,0.0,30.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Christian Kouamé,ci CIV,FW,Fiorentina,22,1997,33.0,9.0,995.0,1.0,1.0,0.0,0.0,4.0,0.0,0.09,0.09,0.18,0.09,0.18,3.2,3.2,0.29,0.29,11.1,6.0,0.0,35.3,0.54,0.06,0.17,0.19,-2.2,-2.2,234.0,326.0,71.8,2764.0,400.0,166.0,212.0,78.3,47.0,62.0,75.8,5.0,7.0,71.4,12.0,15.0,6.0,1.0,16.0,310.0,16.0,2.0,1.0,2.0,6.0,0.0,0.0,0.0,0.0,3.0,0.0,11.0,19.0,1.72,16.0,0.0,1.0,1.0,1.0,2.0,0.18,1.0,0.0,1.0,0.0,0.0,0.0,9.0,4.0,2.0,4.0,3.0,4.0,12.0,33.3,8.0,9.0,1.0,8.0,5.0,4.0,0.0,467.0,5.0,32.0,203.0,236.0,53.0,467.0,16.0,27.0,59.3,258.0,12.0,8.0,7.0,361.0,50.0,24.0,0.0,25.0,32.0,5.0,0.0,0.0,0.0,31.0,38.0,56.0,40.4
-Kalidou Koulibaly,sn SEN,DF,Napoli,29,1991,26.0,25.0,2209.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.04,0.04,24.5,2.0,0.0,18.2,0.08,0.0,0.0,0.09,-1.0,-1.0,1566.0,1775.0,88.2,28893.0,11863.0,654.0,706.0,92.6,726.0,776.0,93.6,166.0,248.0,66.9,5.0,106.0,8.0,2.0,116.0,1678.0,90.0,52.0,1.0,18.0,5.0,0.0,0.0,0.0,0.0,1.0,7.0,10.0,17.0,0.69,15.0,0.0,1.0,0.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,36.0,24.0,25.0,7.0,4.0,19.0,32.0,59.4,13.0,46.0,26.0,20.0,29.0,64.0,2.0,1981.0,202.0,843.0,1087.0,70.0,18.0,1981.0,19.0,22.0,86.4,1306.0,22.0,21.0,2.0,1414.0,8.0,6.0,1.0,29.0,9.0,0.0,0.0,0.0,0.0,172.0,40.0,37.0,51.9
-Viktor Kovalenko,ua UKR,FW,Atalanta,24,1996,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,8.0,5.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,2.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Rade Krunić,ba BIH,"MF,FW",Milan,26,1993,25.0,5.0,723.0,1.0,2.0,0.0,0.0,3.0,0.0,0.12,0.25,0.37,0.12,0.37,0.7,0.7,0.09,0.09,8.0,5.0,1.0,62.5,0.62,0.13,0.2,0.09,0.3,0.3,233.0,272.0,85.7,3094.0,868.0,151.0,164.0,92.1,64.0,75.0,85.3,6.0,11.0,54.5,8.0,16.0,1.0,1.0,27.0,262.0,9.0,5.0,1.0,0.0,3.0,2.0,1.0,0.0,0.0,2.0,1.0,4.0,17.0,2.12,14.0,0.0,0.0,0.0,3.0,5.0,0.62,3.0,0.0,0.0,0.0,2.0,0.0,15.0,12.0,6.0,6.0,3.0,7.0,17.0,41.2,10.0,12.0,2.0,10.0,10.0,9.0,0.0,362.0,13.0,84.0,190.0,88.0,14.0,362.0,5.0,10.0,50.0,180.0,9.0,6.0,2.0,239.0,11.0,5.0,0.0,11.0,20.0,2.0,0.0,1.0,0.0,36.0,9.0,17.0,34.6
-Juraj Kucka,sk SVK,"MF,FW",Parma,33,1987,28.0,28.0,2334.0,7.0,2.0,4.0,4.0,8.0,0.0,0.27,0.08,0.35,0.12,0.19,7.1,4.0,0.27,0.15,25.9,15.0,2.0,26.8,0.58,0.05,0.2,0.07,-0.1,-1.0,663.0,929.0,71.4,10151.0,2630.0,370.0,458.0,80.8,229.0,304.0,75.3,44.0,84.0,52.4,17.0,54.0,17.0,4.0,77.0,904.0,18.0,4.0,3.0,10.0,15.0,0.0,0.0,0.0,0.0,4.0,7.0,35.0,56.0,2.16,36.0,0.0,6.0,4.0,10.0,8.0,0.31,7.0,0.0,1.0,0.0,0.0,0.0,67.0,36.0,21.0,37.0,9.0,26.0,74.0,35.1,48.0,25.0,3.0,22.0,28.0,25.0,0.0,1250.0,44.0,208.0,673.0,378.0,56.0,1246.0,31.0,59.0,52.5,658.0,35.0,23.0,5.0,885.0,48.0,30.0,0.0,65.0,71.0,3.0,0.0,0.0,0.0,133.0,79.0,59.0,57.2
-Dejan Kulusevski,se SWE,"MF,FW",Juventus,20,2000,35.0,19.0,1923.0,4.0,3.0,0.0,0.0,7.0,0.0,0.19,0.14,0.33,0.19,0.33,3.0,3.0,0.14,0.14,21.4,7.0,0.0,20.6,0.33,0.12,0.57,0.09,1.0,1.0,588.0,767.0,76.7,8392.0,2088.0,340.0,398.0,85.4,195.0,235.0,83.0,26.0,49.0,53.1,52.0,38.0,30.0,8.0,70.0,733.0,29.0,8.0,3.0,2.0,59.0,16.0,7.0,4.0,0.0,3.0,5.0,29.0,97.0,4.54,74.0,7.0,7.0,6.0,2.0,7.0,0.33,5.0,0.0,2.0,0.0,0.0,0.0,33.0,19.0,12.0,10.0,11.0,14.0,43.0,32.6,29.0,22.0,0.0,22.0,9.0,2.0,1.0,1022.0,6.0,109.0,384.0,550.0,117.0,1022.0,43.0,72.0,59.7,663.0,104.0,52.0,39.0,766.0,66.0,45.0,0.0,41.0,29.0,5.0,0.0,0.0,0.0,97.0,11.0,29.0,27.5
-Marash Kumbulla,al ALB,DF,Roma,20,2000,21.0,14.0,1363.0,1.0,0.0,0.0,0.0,8.0,0.0,0.07,0.0,0.07,0.07,0.07,0.9,0.9,0.06,0.06,15.1,2.0,0.0,33.3,0.13,0.17,0.5,0.14,0.1,0.1,701.0,791.0,88.6,12503.0,3644.0,295.0,323.0,91.3,353.0,371.0,95.1,48.0,77.0,62.3,4.0,26.0,0.0,0.0,43.0,763.0,28.0,22.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,12.0,11.0,0.73,6.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,11.0,8.0,7.0,1.0,5.0,17.0,29.4,12.0,12.0,5.0,7.0,24.0,38.0,1.0,907.0,68.0,373.0,500.0,37.0,9.0,907.0,4.0,4.0,100.0,537.0,9.0,8.0,0.0,664.0,7.0,3.0,0.0,26.0,14.0,0.0,0.0,0.0,0.0,52.0,26.0,19.0,57.8
-Jasmin Kurtić,si SVN,MF,Parma,31,1989,34.0,31.0,2739.0,4.0,0.0,0.0,0.0,5.0,0.0,0.13,0.0,0.13,0.13,0.13,3.7,3.7,0.12,0.12,30.4,10.0,0.0,28.6,0.33,0.11,0.4,0.11,0.3,0.3,1188.0,1434.0,82.8,22012.0,5688.0,488.0,548.0,89.1,492.0,560.0,87.9,164.0,239.0,68.6,23.0,111.0,29.0,15.0,143.0,1346.0,83.0,44.0,0.0,28.0,90.0,24.0,7.0,15.0,0.0,13.0,5.0,26.0,62.0,2.04,48.0,9.0,0.0,5.0,0.0,5.0,0.16,4.0,0.0,0.0,1.0,0.0,0.0,46.0,28.0,22.0,21.0,3.0,21.0,70.0,30.0,49.0,22.0,2.0,20.0,33.0,57.0,1.0,1703.0,86.0,363.0,972.0,385.0,34.0,1703.0,14.0,19.0,73.7,971.0,53.0,46.0,3.0,1151.0,29.0,14.0,0.0,45.0,37.0,3.0,0.0,0.0,0.0,156.0,36.0,28.0,56.3
-Giorgos Kyriakopoulos,gr GRE,DF,Sassuolo,24,1996,23.0,16.0,1456.0,1.0,0.0,0.0,0.0,3.0,1.0,0.06,0.0,0.06,0.06,0.06,1.6,1.6,0.1,0.1,16.2,13.0,1.0,54.2,0.8,0.04,0.08,0.07,-0.6,-0.6,827.0,1013.0,81.6,12272.0,3769.0,471.0,517.0,91.1,298.0,364.0,81.9,41.0,82.0,50.0,13.0,46.0,16.0,7.0,59.0,890.0,122.0,17.0,0.0,1.0,64.0,2.0,0.0,2.0,0.0,103.0,1.0,16.0,35.0,2.16,27.0,0.0,5.0,2.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,35.0,18.0,17.0,12.0,6.0,8.0,28.0,28.6,20.0,16.0,5.0,11.0,15.0,42.0,0.0,1205.0,57.0,363.0,492.0,363.0,25.0,1205.0,28.0,44.0,63.6,682.0,58.0,45.0,8.0,822.0,23.0,19.0,1.0,17.0,7.0,1.0,0.0,0.0,0.0,83.0,17.0,16.0,51.5
-Antonino La Gumina,it ITA,FW,Sampdoria,24,1996,9.0,4.0,341.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.18,0.18,3.8,1.0,0.0,9.1,0.26,0.0,0.0,0.06,-0.7,-0.7,45.0,67.0,67.2,626.0,58.0,27.0,35.0,77.1,15.0,22.0,68.2,2.0,3.0,66.7,1.0,2.0,1.0,0.0,3.0,59.0,7.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,0.53,1.0,0.0,0.0,1.0,0.0,1.0,0.26,0.0,0.0,0.0,1.0,0.0,0.0,3.0,2.0,0.0,1.0,2.0,0.0,3.0,0.0,3.0,5.0,1.0,4.0,3.0,5.0,0.0,120.0,5.0,9.0,42.0,71.0,19.0,120.0,5.0,6.0,83.3,64.0,5.0,3.0,2.0,87.0,19.0,5.0,0.0,5.0,6.0,2.0,0.0,0.0,0.0,9.0,11.0,22.0,33.3
-Sam Lammers,nl NED,"FW,MF",Atalanta,23,1997,15.0,1.0,291.0,2.0,0.0,0.0,0.0,0.0,0.0,0.62,0.0,0.62,0.62,0.62,1.3,1.3,0.4,0.4,3.2,4.0,0.0,44.4,1.24,0.22,0.5,0.14,0.7,0.7,96.0,122.0,78.7,1166.0,181.0,64.0,79.0,81.0,23.0,27.0,85.2,1.0,3.0,33.3,4.0,5.0,3.0,0.0,8.0,117.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,13.0,4.02,9.0,0.0,3.0,1.0,0.0,1.0,0.31,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,6.0,0.0,6.0,0.0,0.0,0.0,0.0,3.0,0.0,170.0,3.0,7.0,67.0,97.0,26.0,170.0,13.0,18.0,72.2,111.0,9.0,5.0,8.0,144.0,17.0,13.0,0.0,5.0,5.0,2.0,0.0,0.0,0.0,8.0,6.0,6.0,50.0
-Gianluca Lapadula,pe PER,FW,Benevento,30,1990,37.0,29.0,2563.0,8.0,2.0,0.0,1.0,2.0,0.0,0.28,0.07,0.35,0.28,0.35,9.7,8.8,0.34,0.31,28.5,28.0,5.0,37.3,0.98,0.11,0.29,0.12,-1.7,-0.8,320.0,470.0,68.1,4204.0,895.0,194.0,256.0,75.8,88.0,123.0,71.5,13.0,19.0,68.4,33.0,12.0,11.0,1.0,44.0,426.0,44.0,0.0,1.0,2.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,17.0,72.0,2.53,50.0,1.0,3.0,7.0,9.0,8.0,0.28,4.0,0.0,0.0,1.0,3.0,0.0,22.0,12.0,3.0,13.0,6.0,6.0,25.0,24.0,19.0,18.0,3.0,15.0,5.0,16.0,0.0,742.0,22.0,50.0,296.0,411.0,160.0,741.0,16.0,22.0,72.7,396.0,42.0,27.0,22.0,542.0,64.0,37.0,0.0,48.0,68.0,34.0,3.0,0.0,0.0,55.0,34.0,88.0,27.9
-Danilo Larangeira,br BRA,DF,Bologna,36,1984,35.0,34.0,3132.0,0.0,1.0,0.0,0.0,8.0,0.0,0.0,0.03,0.03,0.0,0.03,1.2,1.2,0.03,0.03,34.8,2.0,0.0,12.5,0.06,0.0,0.0,0.07,-1.2,-1.2,1414.0,1767.0,80.0,30988.0,13580.0,386.0,428.0,90.2,759.0,854.0,88.9,262.0,448.0,58.5,9.0,86.0,6.0,0.0,108.0,1647.0,107.0,101.0,3.0,17.0,2.0,0.0,0.0,0.0,0.0,5.0,13.0,10.0,13.0,0.37,8.0,1.0,0.0,3.0,1.0,2.0,0.06,1.0,0.0,0.0,1.0,0.0,0.0,33.0,24.0,23.0,10.0,0.0,8.0,29.0,27.6,21.0,58.0,36.0,22.0,51.0,127.0,2.0,2083.0,385.0,1109.0,936.0,45.0,21.0,2083.0,2.0,3.0,66.7,1124.0,12.0,5.0,0.0,1234.0,9.0,0.0,0.0,38.0,15.0,1.0,0.0,2.0,0.0,168.0,79.0,74.0,51.6
-Kevin Lasagna,it ITA,FW,Udinese,27,1992,17.0,12.0,1103.0,2.0,1.0,0.0,0.0,1.0,0.0,0.16,0.08,0.24,0.16,0.24,7.4,7.4,0.6,0.6,12.3,12.0,1.0,29.3,0.98,0.05,0.17,0.18,-5.4,-5.4,144.0,212.0,67.9,1993.0,441.0,91.0,115.0,79.1,33.0,48.0,68.8,8.0,12.0,66.7,10.0,11.0,9.0,2.0,23.0,196.0,15.0,1.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,3.0,1.0,14.0,23.0,1.88,15.0,0.0,1.0,6.0,1.0,1.0,0.08,0.0,0.0,1.0,0.0,0.0,0.0,6.0,1.0,2.0,3.0,1.0,3.0,14.0,21.4,11.0,11.0,0.0,11.0,6.0,7.0,0.0,347.0,8.0,28.0,126.0,198.0,71.0,347.0,5.0,15.0,33.3,184.0,20.0,9.0,16.0,221.0,30.0,12.0,0.0,20.0,11.0,9.0,0.0,0.0,0.0,32.0,18.0,37.0,32.7
-Kevin Lasagna,it ITA,FW,Hellas Verona,27,1992,19.0,14.0,1267.0,2.0,0.0,0.0,0.0,0.0,0.0,0.14,0.0,0.14,0.14,0.14,3.2,3.2,0.23,0.23,14.1,6.0,0.0,20.0,0.43,0.07,0.33,0.11,-1.2,-1.2,180.0,260.0,69.2,2275.0,326.0,122.0,152.0,80.3,35.0,58.0,60.3,7.0,13.0,53.8,12.0,12.0,5.0,0.0,19.0,232.0,28.0,0.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,27.0,1.92,18.0,0.0,2.0,3.0,4.0,4.0,0.28,2.0,0.0,1.0,0.0,1.0,0.0,7.0,3.0,0.0,5.0,2.0,1.0,5.0,20.0,4.0,12.0,1.0,11.0,1.0,11.0,0.0,422.0,12.0,26.0,179.0,223.0,61.0,422.0,8.0,18.0,44.4,233.0,28.0,18.0,17.0,311.0,51.0,18.0,0.0,32.0,21.0,23.0,0.0,0.0,0.0,30.0,26.0,48.0,35.1
-Vincent Laurini,fr FRA,DF,Parma,31,1989,14.0,10.0,870.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,400.0,505.0,79.2,6865.0,2842.0,193.0,211.0,91.5,164.0,211.0,77.7,38.0,68.0,55.9,1.0,35.0,5.0,4.0,37.0,417.0,86.0,14.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,72.0,2.0,7.0,9.0,0.93,6.0,1.0,0.0,0.0,1.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,0.0,16.0,11.0,8.0,6.0,2.0,7.0,9.0,77.8,2.0,8.0,4.0,4.0,17.0,22.0,1.0,581.0,33.0,188.0,300.0,97.0,2.0,581.0,2.0,3.0,66.7,319.0,11.0,11.0,0.0,353.0,9.0,1.0,0.0,12.0,18.0,0.0,0.0,0.0,0.0,31.0,6.0,12.0,33.3
-Darko Lazović,rs SRB,"DF,MF",Hellas Verona,29,1990,32.0,27.0,2503.0,3.0,6.0,0.0,0.0,3.0,0.0,0.11,0.22,0.32,0.11,0.32,3.4,3.4,0.12,0.12,27.8,11.0,2.0,34.4,0.4,0.09,0.27,0.11,-0.4,-0.4,1002.0,1389.0,72.1,15672.0,6210.0,550.0,628.0,87.6,367.0,515.0,71.3,66.0,140.0,47.1,35.0,75.0,59.0,17.0,156.0,1129.0,238.0,15.0,0.0,4.0,125.0,21.0,11.0,8.0,0.0,202.0,22.0,36.0,66.0,2.37,54.0,5.0,4.0,3.0,0.0,7.0,0.25,7.0,0.0,0.0,0.0,0.0,0.0,29.0,17.0,8.0,17.0,4.0,20.0,42.0,47.6,22.0,17.0,7.0,10.0,20.0,29.0,0.0,1606.0,61.0,296.0,675.0,650.0,66.0,1606.0,20.0,39.0,51.3,744.0,68.0,53.0,18.0,964.0,31.0,16.0,0.0,10.0,2.0,10.0,0.0,0.0,0.0,157.0,17.0,18.0,48.6
-Manuel Lazzari,it ITA,DF,Lazio,26,1993,32.0,30.0,2613.0,2.0,5.0,0.0,0.0,2.0,1.0,0.07,0.17,0.24,0.07,0.24,2.1,2.1,0.07,0.07,29.0,6.0,0.0,25.0,0.21,0.08,0.33,0.09,-0.1,-0.1,924.0,1153.0,80.1,13975.0,3090.0,473.0,536.0,88.2,347.0,432.0,80.3,48.0,84.0,57.1,28.0,28.0,31.0,19.0,37.0,935.0,214.0,15.0,2.0,4.0,114.0,0.0,0.0,0.0,0.0,199.0,4.0,28.0,69.0,2.38,54.0,3.0,3.0,4.0,5.0,10.0,0.34,7.0,0.0,1.0,1.0,1.0,0.0,24.0,14.0,15.0,4.0,5.0,14.0,39.0,35.9,25.0,22.0,3.0,19.0,18.0,28.0,0.0,1398.0,43.0,295.0,546.0,576.0,65.0,1398.0,31.0,58.0,53.4,810.0,130.0,80.0,29.0,890.0,41.0,22.0,0.0,26.0,53.0,2.0,0.0,0.0,1.0,111.0,13.0,18.0,41.9
-Rafael Leão,pt POR,FW,Milan,21,1999,30.0,22.0,1924.0,6.0,6.0,0.0,0.0,5.0,0.0,0.28,0.28,0.56,0.28,0.56,6.0,6.0,0.28,0.28,21.4,20.0,0.0,46.5,0.94,0.14,0.3,0.14,0.0,0.0,362.0,507.0,71.4,5185.0,1075.0,195.0,255.0,76.5,126.0,163.0,77.3,16.0,32.0,50.0,27.0,16.0,25.0,4.0,45.0,472.0,29.0,1.0,1.0,2.0,32.0,0.0,0.0,0.0,0.0,9.0,6.0,12.0,66.0,3.09,45.0,0.0,10.0,6.0,5.0,6.0,0.28,5.0,0.0,1.0,0.0,0.0,0.0,13.0,6.0,4.0,7.0,2.0,6.0,15.0,40.0,9.0,17.0,0.0,17.0,4.0,14.0,1.0,713.0,17.0,72.0,279.0,386.0,104.0,713.0,40.0,65.0,61.5,398.0,77.0,38.0,32.0,526.0,53.0,16.0,0.0,28.0,21.0,4.0,1.0,0.0,0.0,62.0,42.0,59.0,41.6
-Lucas Leiva,br BRA,MF,Lazio,33,1987,32.0,30.0,2131.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,23.7,3.0,0.0,25.0,0.13,0.0,0.0,0.04,-0.4,-0.4,1274.0,1484.0,85.8,21944.0,7774.0,597.0,665.0,89.8,532.0,601.0,88.5,125.0,153.0,81.7,7.0,183.0,12.0,3.0,163.0,1436.0,44.0,37.0,1.0,5.0,16.0,5.0,4.0,0.0,0.0,2.0,4.0,28.0,36.0,1.52,33.0,1.0,0.0,0.0,1.0,2.0,0.08,1.0,0.0,0.0,0.0,1.0,0.0,68.0,32.0,38.0,28.0,2.0,30.0,86.0,34.9,56.0,21.0,0.0,21.0,57.0,21.0,0.0,1710.0,62.0,461.0,1076.0,186.0,7.0,1710.0,9.0,14.0,64.3,890.0,23.0,25.0,2.0,1079.0,14.0,12.0,0.0,47.0,24.0,1.0,0.0,0.0,0.0,175.0,47.0,42.0,52.8
-Lukas Lerager,dk DEN,MF,Genoa,27,1993,16.0,13.0,1159.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.08,0.08,0.0,0.08,0.6,0.6,0.05,0.05,12.9,2.0,0.0,50.0,0.16,0.0,0.0,0.16,-0.6,-0.6,411.0,501.0,82.0,6029.0,1609.0,232.0,272.0,85.3,126.0,146.0,86.3,28.0,38.0,73.7,8.0,51.0,3.0,0.0,46.0,482.0,15.0,9.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,6.0,4.0,10.0,22.0,1.71,21.0,1.0,0.0,0.0,0.0,3.0,0.23,3.0,0.0,0.0,0.0,0.0,0.0,24.0,13.0,14.0,9.0,1.0,11.0,30.0,36.7,19.0,13.0,3.0,10.0,14.0,25.0,1.0,622.0,30.0,144.0,343.0,145.0,12.0,622.0,5.0,12.0,41.7,292.0,9.0,12.0,1.0,368.0,22.0,8.0,0.0,16.0,16.0,3.0,0.0,0.0,0.0,85.0,9.0,14.0,39.1
-Mehdi Léris,dz ALG,"DF,MF",Sampdoria,22,1998,20.0,3.0,386.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,4.3,1.0,0.0,50.0,0.23,0.0,0.0,0.04,-0.1,-0.1,174.0,233.0,74.7,2680.0,771.0,102.0,120.0,85.0,49.0,64.0,76.6,16.0,29.0,55.2,8.0,12.0,6.0,1.0,19.0,208.0,21.0,3.0,0.0,2.0,17.0,4.0,0.0,4.0,0.0,14.0,4.0,4.0,15.0,3.48,13.0,1.0,1.0,0.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,6.0,4.0,1.0,6.0,16.0,37.5,10.0,12.0,2.0,10.0,12.0,15.0,0.0,305.0,22.0,77.0,126.0,111.0,10.0,305.0,6.0,14.0,42.9,162.0,17.0,9.0,4.0,179.0,9.0,4.0,0.0,13.0,3.0,0.0,0.0,0.0,0.0,43.0,7.0,8.0,46.7
-Karlo Letica,hr CRO,GK,Sampdoria,23,1997,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,34.0,88.2,694.0,352.0,6.0,6.0,100.0,18.0,18.0,100.0,6.0,10.0,60.0,0.0,0.0,0.0,0.0,0.0,26.0,8.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,36.0,35.0,36.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Gaetano Letizia,it ITA,DF,Benevento,30,1990,24.0,18.0,1570.0,3.0,1.0,0.0,0.0,2.0,0.0,0.17,0.06,0.23,0.17,0.23,0.4,0.4,0.02,0.02,17.4,7.0,0.0,53.8,0.4,0.23,0.43,0.03,2.6,2.6,670.0,890.0,75.3,11927.0,4614.0,301.0,338.0,89.1,270.0,343.0,78.7,79.0,154.0,51.3,14.0,41.0,32.0,21.0,59.0,734.0,150.0,27.0,0.0,11.0,84.0,3.0,1.0,1.0,0.0,120.0,6.0,21.0,39.0,2.24,29.0,5.0,2.0,1.0,1.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,0.0,36.0,25.0,19.0,13.0,4.0,17.0,36.0,47.2,19.0,15.0,3.0,12.0,20.0,42.0,1.0,1044.0,72.0,368.0,428.0,258.0,14.0,1044.0,13.0,19.0,68.4,534.0,49.0,33.0,3.0,597.0,18.0,12.0,0.0,14.0,22.0,0.0,0.0,0.0,0.0,116.0,13.0,8.0,61.9
-Matthijs de Ligt,nl NED,DF,Juventus,20,1999,27.0,25.0,2220.0,1.0,1.0,0.0,0.0,4.0,0.0,0.04,0.04,0.08,0.04,0.08,1.3,1.3,0.05,0.05,24.7,6.0,0.0,31.6,0.24,0.05,0.17,0.07,-0.3,-0.3,1604.0,1739.0,92.2,30950.0,9589.0,515.0,553.0,93.1,928.0,961.0,96.6,147.0,196.0,75.0,9.0,98.0,6.0,2.0,93.0,1690.0,46.0,32.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,5.0,3.0,6.0,26.0,1.05,20.0,0.0,1.0,4.0,1.0,5.0,0.2,4.0,0.0,0.0,1.0,0.0,0.0,37.0,19.0,20.0,16.0,1.0,18.0,28.0,64.3,10.0,42.0,21.0,21.0,31.0,64.0,0.0,1958.0,223.0,810.0,1070.0,87.0,28.0,1958.0,6.0,7.0,85.7,1164.0,16.0,10.0,0.0,1442.0,11.0,3.0,0.0,40.0,23.0,2.0,0.0,1.0,0.0,140.0,58.0,31.0,65.2
-Karol Linetty,pl POL,MF,Torino,25,1995,27.0,20.0,1832.0,1.0,0.0,0.0,0.0,5.0,0.0,0.05,0.0,0.05,0.05,0.05,1.1,1.1,0.05,0.05,20.4,3.0,0.0,42.9,0.15,0.14,0.33,0.15,-0.1,-0.1,600.0,733.0,81.9,8945.0,2488.0,368.0,410.0,89.8,183.0,219.0,83.6,36.0,53.0,67.9,15.0,46.0,10.0,0.0,58.0,710.0,20.0,6.0,1.0,11.0,6.0,2.0,0.0,0.0,0.0,9.0,3.0,20.0,42.0,2.06,33.0,0.0,6.0,1.0,2.0,1.0,0.05,0.0,0.0,0.0,1.0,0.0,0.0,38.0,28.0,13.0,19.0,6.0,16.0,45.0,35.6,29.0,19.0,5.0,14.0,15.0,7.0,0.0,926.0,34.0,204.0,499.0,235.0,26.0,926.0,20.0,33.0,60.6,520.0,27.0,22.0,4.0,613.0,42.0,25.0,0.0,31.0,29.0,1.0,0.0,0.0,0.0,116.0,8.0,14.0,36.4
-Pol Lirola,es ESP,"DF,FW",Fiorentina,22,1997,12.0,4.0,498.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.1,0.1,0.02,0.02,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,204.0,284.0,71.8,3261.0,1129.0,98.0,123.0,79.7,81.0,109.0,74.3,14.0,31.0,45.2,6.0,14.0,7.0,2.0,21.0,237.0,45.0,3.0,0.0,2.0,22.0,0.0,0.0,0.0,0.0,42.0,2.0,4.0,14.0,2.51,11.0,1.0,1.0,0.0,1.0,3.0,0.54,2.0,0.0,0.0,0.0,1.0,0.0,13.0,8.0,8.0,2.0,3.0,6.0,12.0,50.0,6.0,6.0,3.0,3.0,6.0,9.0,0.0,337.0,17.0,79.0,151.0,110.0,11.0,337.0,10.0,16.0,62.5,174.0,19.0,15.0,6.0,205.0,6.0,4.0,0.0,4.0,3.0,1.0,0.0,0.0,0.0,30.0,3.0,4.0,42.9
-Fernando Llorente,es ESP,FW,Udinese,35,1985,14.0,8.0,713.0,1.0,0.0,0.0,0.0,2.0,0.0,0.13,0.0,0.13,0.13,0.13,1.8,1.8,0.23,0.23,7.9,5.0,0.0,45.5,0.63,0.09,0.2,0.17,-0.8,-0.8,158.0,222.0,71.2,1811.0,316.0,109.0,143.0,76.2,28.0,45.0,62.2,4.0,7.0,57.1,11.0,10.0,0.0,0.0,11.0,206.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,15.0,1.89,11.0,0.0,0.0,2.0,1.0,1.0,0.13,0.0,0.0,0.0,1.0,0.0,0.0,4.0,1.0,2.0,2.0,0.0,2.0,5.0,40.0,3.0,3.0,0.0,3.0,2.0,17.0,0.0,311.0,19.0,41.0,171.0,101.0,33.0,311.0,3.0,4.0,75.0,133.0,1.0,5.0,0.0,223.0,28.0,7.0,0.0,21.0,11.0,3.0,0.0,0.0,0.0,21.0,54.0,32.0,62.8
-Fernando Llorente,es ESP,"FW,MF",Napoli,35,1985,3.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.31,0.31,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,13.0,22.0,59.1,163.0,29.0,9.0,16.0,56.3,2.0,3.0,66.7,1.0,1.0,100.0,1.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.46,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,0.0,2.0,8.0,22.0,11.0,32.0,0.0,1.0,0.0,18.0,0.0,0.0,0.0,27.0,4.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,2.0,5.0,1.0,83.3
-Stanislav Lobotka,sk SVK,MF,Napoli,25,1994,15.0,0.0,154.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,117.0,129.0,90.7,1841.0,362.0,58.0,62.0,93.5,43.0,46.0,93.5,10.0,13.0,76.9,0.0,5.0,1.0,0.0,7.0,126.0,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.58,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,136.0,1.0,27.0,99.0,12.0,0.0,136.0,2.0,3.0,66.7,89.0,3.0,2.0,0.0,110.0,0.0,1.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,10.0,2.0,4.0,33.3
-Manuel Locatelli,it ITA,MF,Sassuolo,22,1998,34.0,32.0,2883.0,4.0,2.0,2.0,2.0,9.0,0.0,0.12,0.06,0.19,0.06,0.12,3.7,2.1,0.11,0.07,32.0,7.0,6.0,17.9,0.22,0.05,0.29,0.05,0.3,-0.1,2440.0,2802.0,87.1,41731.0,14137.0,1213.0,1295.0,93.7,931.0,1035.0,90.0,249.0,365.0,68.2,38.0,325.0,35.0,5.0,315.0,2696.0,98.0,80.0,1.0,38.0,41.0,14.0,5.0,7.0,0.0,4.0,8.0,30.0,104.0,3.25,86.0,4.0,4.0,4.0,4.0,13.0,0.41,10.0,1.0,0.0,0.0,1.0,1.0,81.0,47.0,43.0,28.0,10.0,29.0,56.0,51.8,27.0,35.0,15.0,20.0,51.0,65.0,1.0,3164.0,150.0,697.0,1972.0,519.0,49.0,3162.0,27.0,36.0,75.0,1795.0,48.0,52.0,7.0,2467.0,45.0,33.0,0.0,52.0,48.0,1.0,1.0,1.0,0.0,239.0,48.0,45.0,51.6
-Maxime Lopez,fr FRA,MF,Sassuolo,22,1997,29.0,22.0,1864.0,2.0,0.0,0.0,0.0,7.0,0.0,0.1,0.0,0.1,0.1,0.1,1.2,1.2,0.06,0.06,20.7,4.0,0.0,40.0,0.19,0.2,0.5,0.12,0.8,0.8,1567.0,1699.0,92.2,22138.0,5489.0,930.0,971.0,95.8,509.0,545.0,93.4,68.0,97.0,70.1,20.0,161.0,24.0,0.0,150.0,1645.0,52.0,22.0,3.0,2.0,38.0,25.0,8.0,13.0,0.0,5.0,2.0,14.0,56.0,2.71,47.0,5.0,3.0,0.0,0.0,2.0,0.1,0.0,0.0,2.0,0.0,0.0,0.0,24.0,13.0,15.0,6.0,3.0,14.0,41.0,34.1,27.0,9.0,0.0,9.0,16.0,10.0,1.0,1817.0,39.0,259.0,1160.0,408.0,18.0,1817.0,18.0,25.0,72.0,1129.0,45.0,40.0,7.0,1525.0,16.0,11.0,0.0,24.0,22.0,0.0,0.0,0.0,0.0,100.0,3.0,10.0,23.1
-Pau López,es ESP,GK,Roma,25,1994,21.0,20.0,1817.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,533.0,663.0,80.4,13288.0,9020.0,108.0,108.0,100.0,285.0,288.0,99.0,140.0,267.0,52.4,0.0,1.0,0.0,0.0,2.0,525.0,138.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,1.0,0.0,1.0,0.0,7.0,4.0,715.0,627.0,710.0,5.0,0.0,0.0,715.0,0.0,0.0,0.0,385.0,0.0,0.0,0.0,378.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,23.0,2.0,0.0,100.0
-Matteo Lovato,it ITA,DF,Hellas Verona,20,2000,24.0,14.0,1386.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.0,0.0,15.4,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,479.0,609.0,78.7,8921.0,3142.0,172.0,209.0,82.3,256.0,302.0,84.8,43.0,80.0,53.8,4.0,32.0,1.0,0.0,35.0,573.0,35.0,29.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,6.0,1.0,5.0,8.0,0.55,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,12.0,14.0,5.0,2.0,10.0,21.0,47.6,11.0,20.0,10.0,10.0,37.0,48.0,1.0,762.0,82.0,378.0,363.0,32.0,4.0,762.0,1.0,2.0,50.0,363.0,6.0,11.0,3.0,367.0,14.0,2.0,0.0,25.0,9.0,0.0,0.0,1.0,0.0,102.0,30.0,41.0,42.3
-Hirving Lozano,mx MEX,FW,Napoli,25,1995,32.0,23.0,1965.0,11.0,3.0,0.0,0.0,6.0,0.0,0.5,0.14,0.64,0.5,0.64,9.3,9.3,0.43,0.43,21.8,27.0,0.0,45.8,1.24,0.19,0.41,0.16,1.7,1.7,426.0,620.0,68.7,5456.0,1067.0,270.0,330.0,81.8,103.0,155.0,66.5,16.0,41.0,39.0,35.0,17.0,22.0,7.0,44.0,605.0,12.0,2.0,0.0,3.0,73.0,0.0,0.0,0.0,0.0,9.0,3.0,28.0,87.0,3.98,57.0,0.0,6.0,6.0,15.0,10.0,0.46,5.0,0.0,1.0,1.0,2.0,1.0,29.0,18.0,10.0,13.0,6.0,10.0,36.0,27.8,26.0,37.0,1.0,36.0,18.0,14.0,0.0,925.0,12.0,84.0,299.0,557.0,129.0,925.0,29.0,70.0,41.4,640.0,112.0,44.0,43.0,693.0,55.0,22.0,0.0,33.0,69.0,11.0,1.0,0.0,0.0,95.0,15.0,23.0,39.5
-José Luis Palomino,ar ARG,DF,Atalanta,30,1990,36.0,25.0,2428.0,1.0,2.0,0.0,0.0,3.0,0.0,0.04,0.07,0.11,0.04,0.11,0.3,0.3,0.01,0.01,27.0,1.0,0.0,25.0,0.04,0.25,1.0,0.07,0.7,0.7,1273.0,1554.0,81.9,23856.0,8941.0,462.0,523.0,88.3,655.0,739.0,88.6,134.0,242.0,55.4,9.0,93.0,2.0,0.0,136.0,1470.0,79.0,60.0,0.0,4.0,14.0,0.0,0.0,0.0,0.0,19.0,5.0,15.0,16.0,0.59,15.0,0.0,0.0,0.0,0.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,0.0,67.0,33.0,41.0,19.0,7.0,24.0,48.0,50.0,24.0,30.0,16.0,14.0,79.0,60.0,2.0,1831.0,153.0,836.0,914.0,97.0,17.0,1831.0,2.0,2.0,100.0,982.0,16.0,12.0,2.0,1026.0,13.0,5.0,0.0,48.0,16.0,2.0,0.0,1.0,0.0,222.0,59.0,45.0,56.7
-Romelu Lukaku,be BEL,FW,Inter,27,1993,36.0,32.0,2884.0,24.0,11.0,6.0,6.0,4.0,0.0,0.75,0.34,1.09,0.56,0.9,23.0,18.2,0.72,0.57,32.0,42.0,1.0,46.7,1.31,0.2,0.43,0.21,1.0,-0.2,538.0,762.0,70.6,6581.0,1431.0,334.0,424.0,78.8,108.0,154.0,70.1,22.0,38.0,57.9,52.0,37.0,38.0,2.0,82.0,698.0,56.0,1.0,6.0,10.0,19.0,0.0,0.0,0.0,0.0,0.0,8.0,39.0,127.0,3.96,91.0,0.0,18.0,13.0,5.0,28.0,0.87,18.0,0.0,5.0,5.0,0.0,0.0,11.0,1.0,1.0,6.0,4.0,6.0,14.0,42.9,8.0,11.0,1.0,10.0,3.0,34.0,0.0,1126.0,39.0,62.0,437.0,644.0,215.0,1120.0,53.0,93.0,57.0,628.0,77.0,46.0,50.0,916.0,93.0,49.0,0.0,34.0,48.0,19.0,0.0,0.0,0.0,51.0,45.0,57.0,44.1
-Saša Lukić,rs SRB,MF,Torino,23,1996,32.0,24.0,2106.0,3.0,0.0,0.0,0.0,4.0,0.0,0.13,0.0,0.13,0.13,0.13,1.8,1.8,0.08,0.08,23.4,7.0,0.0,36.8,0.3,0.16,0.43,0.1,1.2,1.2,632.0,804.0,78.6,9388.0,2372.0,354.0,409.0,86.6,202.0,246.0,82.1,43.0,64.0,67.2,23.0,62.0,21.0,8.0,72.0,779.0,23.0,13.0,2.0,4.0,35.0,4.0,1.0,2.0,0.0,5.0,2.0,32.0,60.0,2.56,46.0,2.0,3.0,1.0,8.0,2.0,0.09,1.0,0.0,0.0,0.0,1.0,0.0,32.0,13.0,11.0,18.0,3.0,15.0,50.0,30.0,35.0,23.0,5.0,18.0,17.0,17.0,0.0,1019.0,20.0,155.0,557.0,325.0,40.0,1019.0,23.0,37.0,62.2,607.0,54.0,38.0,7.0,698.0,36.0,21.0,0.0,45.0,37.0,1.0,1.0,0.0,0.0,101.0,23.0,55.0,29.5
-Senad Lulić,ba BIH,DF,Lazio,34,1986,16.0,8.0,718.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,8.0,3.0,0.0,50.0,0.38,0.0,0.0,0.07,-0.4,-0.4,242.0,346.0,69.9,4026.0,1220.0,115.0,143.0,80.4,97.0,126.0,77.0,23.0,49.0,46.9,4.0,13.0,8.0,4.0,24.0,304.0,40.0,2.0,0.0,0.0,23.0,1.0,0.0,0.0,0.0,37.0,2.0,10.0,10.0,1.25,7.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,6.0,5.0,3.0,7.0,15.0,46.7,8.0,10.0,1.0,9.0,4.0,13.0,0.0,420.0,16.0,111.0,169.0,144.0,22.0,420.0,5.0,9.0,55.6,201.0,16.0,17.0,3.0,248.0,12.0,9.0,0.0,13.0,3.0,2.0,0.0,0.0,0.0,53.0,9.0,4.0,69.2
-Sebastiano Luperto,it ITA,DF,Crotone,23,1996,23.0,22.0,1879.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.01,0.01,20.9,1.0,0.0,20.0,0.05,0.0,0.0,0.06,-0.3,-0.3,836.0,1024.0,81.6,15124.0,6124.0,328.0,350.0,93.7,446.0,505.0,88.3,56.0,139.0,40.3,6.0,49.0,0.0,0.0,69.0,965.0,57.0,43.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,12.0,2.0,13.0,11.0,0.53,9.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,20.0,28.0,8.0,2.0,16.0,27.0,59.3,11.0,17.0,7.0,10.0,27.0,74.0,1.0,1197.0,177.0,665.0,496.0,45.0,11.0,1197.0,5.0,5.0,100.0,673.0,14.0,7.0,0.0,758.0,11.0,2.0,1.0,28.0,19.0,0.0,0.0,0.0,0.0,113.0,26.0,22.0,54.2
-Lyanco,br BRA,DF,Torino,23,1997,23.0,21.0,1959.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.05,0.05,21.8,3.0,0.0,25.0,0.14,0.0,0.0,0.08,-1.0,-1.0,1079.0,1263.0,85.4,22353.0,8180.0,325.0,358.0,90.8,569.0,621.0,91.6,175.0,261.0,67.0,6.0,61.0,4.0,0.0,69.0,1199.0,61.0,59.0,0.0,17.0,6.0,0.0,0.0,0.0,0.0,2.0,3.0,4.0,17.0,0.78,16.0,0.0,0.0,1.0,0.0,2.0,0.09,2.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,13.0,6.0,2.0,8.0,14.0,57.1,6.0,36.0,26.0,10.0,46.0,76.0,0.0,1484.0,227.0,798.0,652.0,56.0,15.0,1484.0,18.0,20.0,90.0,912.0,16.0,18.0,2.0,931.0,9.0,4.0,0.0,24.0,13.0,0.0,0.0,1.0,0.0,178.0,36.0,24.0,60.0
-Charalambos Lykogiannis,gr GRE,DF,Cagliari,26,1993,31.0,29.0,2418.0,4.0,2.0,0.0,0.0,10.0,2.0,0.15,0.07,0.22,0.15,0.22,2.1,2.1,0.08,0.08,26.9,7.0,9.0,25.0,0.26,0.14,0.57,0.08,1.9,1.9,809.0,1201.0,67.4,13966.0,6444.0,394.0,454.0,86.8,333.0,480.0,69.4,69.0,180.0,38.3,14.0,66.0,18.0,10.0,79.0,918.0,279.0,43.0,0.0,7.0,118.0,27.0,5.0,20.0,0.0,209.0,4.0,46.0,33.0,1.23,21.0,9.0,0.0,3.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,34.0,21.0,22.0,9.0,3.0,22.0,38.0,57.9,16.0,34.0,13.0,21.0,32.0,94.0,0.0,1495.0,128.0,498.0,633.0,381.0,27.0,1495.0,13.0,24.0,54.2,641.0,39.0,34.0,6.0,776.0,34.0,9.0,2.0,29.0,24.0,2.0,0.0,1.0,0.0,121.0,57.0,33.0,63.3
-Lisandro Magallán,ar ARG,DF,Crotone,26,1993,28.0,25.0,2181.0,1.0,2.0,0.0,0.0,10.0,0.0,0.04,0.08,0.12,0.04,0.12,1.2,1.2,0.05,0.05,24.2,2.0,0.0,25.0,0.08,0.13,0.5,0.15,-0.2,-0.2,903.0,1109.0,81.4,16685.0,7382.0,350.0,411.0,85.2,456.0,522.0,87.4,86.0,137.0,62.8,9.0,70.0,5.0,0.0,70.0,1033.0,74.0,35.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,39.0,2.0,18.0,20.0,0.82,16.0,1.0,0.0,2.0,1.0,3.0,0.12,3.0,0.0,0.0,0.0,0.0,0.0,54.0,31.0,28.0,24.0,2.0,17.0,42.0,40.5,25.0,29.0,15.0,14.0,44.0,78.0,1.0,1359.0,135.0,701.0,596.0,69.0,12.0,1359.0,7.0,9.0,77.8,674.0,12.0,2.0,1.0,774.0,17.0,5.0,0.0,65.0,13.0,0.0,0.0,1.0,0.0,141.0,43.0,26.0,62.3
-Christian Maggio,it ITA,DF,Benevento,38,1982,8.0,2.0,297.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,106.0,141.0,75.2,1584.0,861.0,64.0,73.0,87.7,36.0,45.0,80.0,5.0,13.0,38.5,0.0,4.0,0.0,0.0,7.0,112.0,29.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,26.0,0.0,6.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,2.0,7.0,0.0,3.0,9.0,33.3,6.0,4.0,1.0,3.0,2.0,6.0,0.0,169.0,4.0,64.0,76.0,30.0,4.0,169.0,3.0,6.0,50.0,79.0,5.0,2.0,0.0,100.0,1.0,2.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,12.0,3.0,8.0,27.3
-Giulio Maggiore,it ITA,MF,Spezia,22,1998,33.0,26.0,2214.0,3.0,1.0,0.0,0.0,3.0,0.0,0.12,0.04,0.16,0.12,0.16,4.7,4.7,0.19,0.19,24.6,14.0,0.0,36.8,0.57,0.08,0.21,0.13,-1.7,-1.7,565.0,817.0,69.2,8648.0,2457.0,297.0,375.0,79.2,198.0,276.0,71.7,40.0,86.0,46.5,13.0,58.0,13.0,0.0,77.0,795.0,17.0,4.0,5.0,5.0,19.0,0.0,0.0,0.0,0.0,13.0,5.0,22.0,35.0,1.42,25.0,0.0,1.0,4.0,3.0,4.0,0.16,3.0,0.0,0.0,1.0,0.0,0.0,61.0,36.0,26.0,28.0,7.0,21.0,53.0,39.6,32.0,33.0,6.0,27.0,19.0,25.0,1.0,1111.0,31.0,191.0,580.0,358.0,76.0,1111.0,18.0,40.0,45.0,624.0,38.0,26.0,14.0,719.0,55.0,14.0,0.0,58.0,41.0,4.0,0.0,0.0,0.0,132.0,31.0,33.0,48.4
-Francesco Magnanelli,it ITA,MF,Sassuolo,35,1984,10.0,7.0,440.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,4.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,361.0,421.0,85.7,6066.0,1587.0,169.0,184.0,91.8,145.0,166.0,87.3,34.0,47.0,72.3,4.0,39.0,1.0,0.0,33.0,410.0,10.0,10.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,8.0,1.64,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,2.0,5.0,0.0,3.0,10.0,30.0,7.0,6.0,2.0,4.0,13.0,10.0,0.0,466.0,27.0,111.0,309.0,46.0,0.0,466.0,1.0,1.0,100.0,240.0,2.0,5.0,0.0,337.0,6.0,0.0,0.0,5.0,6.0,0.0,0.0,0.0,0.0,50.0,3.0,13.0,18.8
-Giangiacomo Magnani,it ITA,DF,Hellas Verona,24,1995,25.0,15.0,1510.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.06,0.06,16.8,2.0,0.0,15.4,0.12,0.0,0.0,0.08,-1.0,-1.0,459.0,611.0,75.1,9116.0,2831.0,135.0,168.0,80.4,253.0,304.0,83.2,63.0,106.0,59.4,1.0,29.0,3.0,1.0,30.0,584.0,24.0,22.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,2.0,3.0,7.0,5.0,0.3,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,15.0,14.0,9.0,3.0,9.0,16.0,56.3,7.0,25.0,16.0,9.0,44.0,105.0,1.0,845.0,116.0,452.0,361.0,39.0,11.0,845.0,2.0,2.0,100.0,342.0,5.0,4.0,0.0,362.0,16.0,1.0,0.0,44.0,29.0,0.0,0.0,0.0,1.0,82.0,76.0,40.0,65.5
-Jean-Victor Makengo,fr FRA,MF,Udinese,22,1998,17.0,5.0,522.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,153.0,195.0,78.5,2396.0,592.0,89.0,99.0,89.9,51.0,58.0,87.9,10.0,17.0,58.8,2.0,21.0,3.0,0.0,23.0,192.0,2.0,0.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,2.0,1.0,11.0,6.0,1.04,6.0,0.0,0.0,0.0,0.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,0.0,8.0,7.0,5.0,3.0,0.0,3.0,13.0,23.1,10.0,7.0,1.0,6.0,5.0,7.0,0.0,262.0,10.0,54.0,142.0,70.0,8.0,262.0,6.0,10.0,60.0,167.0,10.0,9.0,4.0,178.0,14.0,11.0,0.0,12.0,4.0,0.0,0.0,0.0,0.0,27.0,6.0,0.0,100.0
-Nikola Maksimović,rs SRB,DF,Napoli,28,1991,17.0,12.0,1207.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,13.4,1.0,0.0,20.0,0.07,0.0,0.0,0.12,-0.6,-0.6,886.0,963.0,92.0,17592.0,6229.0,277.0,298.0,93.0,505.0,528.0,95.6,101.0,125.0,80.8,3.0,33.0,0.0,0.0,40.0,925.0,38.0,25.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,11.0,0.82,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,9.0,11.0,6.0,1.0,9.0,18.0,50.0,9.0,15.0,6.0,9.0,21.0,49.0,3.0,1095.0,151.0,580.0,500.0,22.0,11.0,1095.0,3.0,3.0,100.0,650.0,10.0,4.0,0.0,791.0,5.0,3.0,0.0,5.0,6.0,0.0,0.0,0.0,1.0,71.0,35.0,11.0,76.1
-Kévin Malcuit,ma MAR,DF,Fiorentina,29,1991,5.0,2.0,207.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,69.0,97.0,71.1,1003.0,249.0,44.0,48.0,91.7,17.0,29.0,58.6,4.0,9.0,44.4,1.0,3.0,1.0,1.0,8.0,81.0,16.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,16.0,0.0,4.0,5.0,2.17,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,2.0,1.0,0.0,1.0,0.0,1.0,5.0,0.0,5.0,3.0,6.0,0.0,131.0,5.0,28.0,54.0,51.0,5.0,131.0,4.0,8.0,50.0,65.0,12.0,6.0,3.0,75.0,3.0,3.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,7.0,2.0,1.0,66.7
-Kévin Malcuit,ma MAR,"FW,MF",Napoli,29,1991,2.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,24.0,83.3,280.0,21.0,11.0,12.0,91.7,8.0,9.0,88.9,1.0,3.0,33.3,0.0,1.0,0.0,0.0,0.0,23.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,2.0,0.0,32.0,0.0,5.0,22.0,5.0,0.0,32.0,1.0,2.0,50.0,18.0,2.0,0.0,0.0,22.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Daniel Maldini,it ITA,"FW,DF",Milan,18,2001,5.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.24,0.24,0.3,1.0,0.0,100.0,3.1,0.0,0.0,0.08,-0.1,-0.1,13.0,15.0,86.7,218.0,97.0,8.0,8.0,100.0,3.0,5.0,60.0,2.0,2.0,100.0,0.0,2.0,1.0,1.0,2.0,15.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,9.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,0.0,4.0,5.0,11.0,2.0,19.0,2.0,2.0,100.0,10.0,1.0,1.0,1.0,13.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Ruslan Malinovskyi,ua UKR,"MF,FW",Atalanta,27,1993,36.0,22.0,1876.0,8.0,12.0,1.0,1.0,3.0,0.0,0.38,0.58,0.96,0.34,0.91,5.6,4.9,0.27,0.23,20.8,20.0,12.0,30.3,0.96,0.11,0.35,0.07,2.4,2.1,840.0,1128.0,74.5,15502.0,5075.0,371.0,440.0,84.3,330.0,425.0,77.6,111.0,190.0,58.4,78.0,89.0,58.0,7.0,151.0,1010.0,112.0,20.0,8.0,23.0,122.0,85.0,40.0,44.0,0.0,6.0,6.0,25.0,133.0,6.38,91.0,24.0,7.0,4.0,7.0,19.0,0.91,17.0,2.0,0.0,0.0,0.0,0.0,19.0,8.0,2.0,13.0,4.0,8.0,23.0,34.8,15.0,16.0,1.0,15.0,2.0,4.0,0.0,1396.0,6.0,85.0,549.0,782.0,69.0,1395.0,51.0,88.0,58.0,938.0,90.0,59.0,23.0,1086.0,64.0,47.0,0.0,46.0,53.0,1.0,0.0,0.0,0.0,121.0,29.0,31.0,48.3
-Dennis Man,ro ROU,"FW,MF",Parma,21,1998,14.0,8.0,699.0,2.0,1.0,0.0,0.0,1.0,0.0,0.26,0.13,0.39,0.26,0.39,2.5,2.5,0.33,0.33,7.8,6.0,0.0,31.6,0.77,0.11,0.33,0.13,-0.5,-0.5,220.0,262.0,84.0,3261.0,807.0,120.0,141.0,85.1,72.0,82.0,87.8,15.0,19.0,78.9,5.0,21.0,12.0,3.0,38.0,260.0,2.0,0.0,0.0,3.0,7.0,1.0,0.0,0.0,0.0,1.0,0.0,5.0,20.0,2.58,14.0,0.0,4.0,0.0,2.0,4.0,0.52,3.0,0.0,1.0,0.0,0.0,0.0,12.0,6.0,6.0,4.0,2.0,6.0,21.0,28.6,15.0,5.0,0.0,5.0,2.0,6.0,0.0,345.0,5.0,48.0,159.0,146.0,30.0,345.0,13.0,18.0,72.2,225.0,22.0,23.0,6.0,262.0,20.0,10.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,31.0,6.0,7.0,46.2
-Gianluca Mancini,it ITA,DF,Roma,24,1996,33.0,33.0,2852.0,4.0,2.0,0.0,0.0,10.0,0.0,0.13,0.06,0.19,0.13,0.19,2.7,2.7,0.09,0.09,31.7,11.0,0.0,39.3,0.35,0.14,0.36,0.1,1.3,1.3,1731.0,1967.0,88.0,32631.0,9987.0,654.0,701.0,93.3,872.0,938.0,93.0,189.0,284.0,66.5,7.0,137.0,13.0,2.0,150.0,1890.0,76.0,59.0,0.0,12.0,14.0,0.0,0.0,0.0,0.0,17.0,1.0,16.0,28.0,0.91,25.0,0.0,0.0,3.0,0.0,5.0,0.16,5.0,0.0,0.0,0.0,0.0,0.0,50.0,29.0,29.0,19.0,2.0,18.0,31.0,58.1,13.0,38.0,18.0,20.0,72.0,77.0,3.0,2261.0,179.0,850.0,1247.0,184.0,31.0,2261.0,15.0,19.0,78.9,1289.0,42.0,28.0,2.0,1629.0,11.0,8.0,0.0,67.0,26.0,1.0,0.0,1.0,0.0,181.0,55.0,33.0,62.5
-Rolando Mandragora,it ITA,MF,Udinese,23,1997,10.0,3.0,398.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.23,0.23,4.4,4.0,1.0,44.4,0.9,0.0,0.0,0.11,-1.0,-1.0,127.0,164.0,77.4,1981.0,504.0,71.0,79.0,89.9,48.0,59.0,81.4,7.0,14.0,50.0,4.0,12.0,4.0,1.0,19.0,161.0,3.0,0.0,0.0,0.0,6.0,2.0,2.0,0.0,0.0,1.0,0.0,6.0,7.0,1.58,7.0,0.0,0.0,0.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,3.0,4.0,1.0,3.0,10.0,30.0,7.0,10.0,3.0,7.0,6.0,5.0,0.0,216.0,7.0,42.0,111.0,64.0,6.0,216.0,2.0,4.0,50.0,114.0,2.0,1.0,1.0,140.0,5.0,5.0,0.0,5.0,4.0,0.0,0.0,1.0,0.0,14.0,6.0,2.0,75.0
-Rolando Mandragora,it ITA,MF,Torino,23,1997,17.0,17.0,1525.0,3.0,1.0,0.0,0.0,5.0,1.0,0.18,0.06,0.24,0.18,0.24,2.8,2.8,0.17,0.17,16.9,8.0,1.0,29.6,0.47,0.11,0.38,0.11,0.2,0.2,590.0,736.0,80.2,9313.0,2478.0,300.0,335.0,89.6,216.0,261.0,82.8,48.0,90.0,53.3,16.0,56.0,8.0,3.0,61.0,650.0,84.0,52.0,1.0,4.0,36.0,22.0,9.0,9.0,0.0,0.0,2.0,9.0,43.0,2.54,32.0,5.0,0.0,3.0,3.0,5.0,0.3,2.0,1.0,0.0,2.0,0.0,0.0,19.0,4.0,4.0,9.0,6.0,7.0,30.0,23.3,23.0,19.0,6.0,13.0,20.0,19.0,0.0,887.0,28.0,180.0,505.0,214.0,22.0,887.0,11.0,17.0,64.7,397.0,8.0,15.0,0.0,489.0,20.0,6.0,1.0,32.0,30.0,1.0,0.0,0.0,0.0,85.0,9.0,8.0,52.9
-Mario Mandžukić,hr CRO,FW,Milan,34,1986,10.0,1.0,212.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.42,0.42,2.4,3.0,0.0,60.0,1.27,0.0,0.0,0.2,-1.0,-1.0,35.0,50.0,70.0,451.0,161.0,22.0,33.0,66.7,8.0,9.0,88.9,2.0,3.0,66.7,2.0,2.0,0.0,0.0,5.0,49.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.7,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,2.0,4.0,1.0,2.0,3.0,66.7,1.0,0.0,0.0,0.0,2.0,3.0,0.0,71.0,4.0,10.0,35.0,28.0,8.0,71.0,0.0,0.0,0.0,22.0,0.0,1.0,0.0,47.0,1.0,1.0,0.0,9.0,2.0,2.0,0.0,0.0,0.0,7.0,9.0,13.0,40.9
-Niccolò Manfredini,it ITA,GK,Benevento,32,1988,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,31.0,87.1,653.0,361.0,5.0,5.0,100.0,15.0,15.0,100.0,7.0,11.0,63.6,0.0,0.0,0.0,0.0,0.0,22.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,36.0,33.0,36.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Kostas Manolas,gr GRE,DF,Napoli,29,1991,30.0,27.0,2298.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.03,0.03,25.5,3.0,0.0,37.5,0.12,0.0,0.0,0.11,-0.9,-0.9,1442.0,1555.0,92.7,28283.0,9379.0,470.0,505.0,93.1,792.0,813.0,97.4,167.0,211.0,79.1,5.0,47.0,5.0,0.0,73.0,1482.0,71.0,53.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,22.0,0.86,14.0,0.0,1.0,2.0,2.0,2.0,0.08,0.0,0.0,0.0,1.0,1.0,0.0,31.0,18.0,24.0,7.0,0.0,17.0,24.0,70.8,7.0,22.0,13.0,9.0,23.0,82.0,2.0,1735.0,201.0,835.0,878.0,26.0,11.0,1735.0,2.0,3.0,66.7,1107.0,4.0,4.0,1.0,1273.0,1.0,1.0,0.0,21.0,12.0,0.0,1.0,1.0,0.0,93.0,41.0,37.0,52.6
-Juan Manuel Ramos,uy URU,DF,Spezia,23,1996,6.0,2.0,294.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,126.0,166.0,75.9,2042.0,715.0,58.0,65.0,89.2,54.0,66.0,81.8,11.0,20.0,55.0,4.0,5.0,3.0,1.0,11.0,127.0,38.0,2.0,0.0,1.0,12.0,7.0,0.0,7.0,0.0,29.0,1.0,8.0,5.0,1.53,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0,2.0,4.0,7.0,57.1,3.0,1.0,0.0,1.0,2.0,6.0,0.0,197.0,8.0,55.0,77.0,67.0,2.0,197.0,1.0,2.0,50.0,95.0,7.0,9.0,0.0,112.0,9.0,2.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,12.0,4.0,0.0,100.0
-Federico Marchetti,it ITA,GK,Genoa,37,1983,4.0,4.0,334.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,137.0,83.2,2393.0,1560.0,48.0,48.0,100.0,45.0,46.0,97.8,21.0,43.0,48.8,0.0,0.0,0.0,0.0,0.0,98.0,39.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,143.0,129.0,142.0,1.0,0.0,0.0,143.0,0.0,0.0,0.0,79.0,0.0,0.0,0.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
-Riccardo Marchizza,it ITA,DF,Spezia,22,1998,24.0,17.0,1561.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.12,0.12,0.0,0.12,0.4,0.4,0.02,0.02,17.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,761.0,969.0,78.5,14119.0,3434.0,317.0,340.0,93.2,336.0,398.0,84.4,91.0,174.0,52.3,15.0,35.0,11.0,8.0,45.0,784.0,184.0,24.0,1.0,2.0,71.0,21.0,0.0,16.0,0.0,139.0,1.0,34.0,28.0,1.61,17.0,11.0,0.0,0.0,0.0,3.0,0.17,2.0,1.0,0.0,0.0,0.0,0.0,20.0,11.0,12.0,5.0,3.0,12.0,21.0,57.1,9.0,13.0,4.0,9.0,11.0,27.0,0.0,1101.0,43.0,385.0,437.0,288.0,27.0,1101.0,6.0,18.0,33.3,598.0,33.0,20.0,6.0,671.0,23.0,8.0,0.0,17.0,14.0,3.0,0.0,1.0,0.0,82.0,22.0,18.0,55.0
-Gian Marco Ferrari,it ITA,DF,Sassuolo,28,1992,34.0,33.0,3014.0,0.0,4.0,0.0,0.0,7.0,0.0,0.0,0.12,0.12,0.0,0.12,2.0,2.0,0.06,0.06,33.5,5.0,0.0,20.0,0.15,0.0,0.0,0.08,-2.0,-2.0,2495.0,2732.0,91.3,43350.0,16999.0,1011.0,1074.0,94.1,1268.0,1335.0,95.0,168.0,240.0,70.0,15.0,229.0,11.0,0.0,187.0,2623.0,100.0,68.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,13.0,9.0,16.0,37.0,1.1,29.0,1.0,0.0,4.0,2.0,6.0,0.18,5.0,0.0,0.0,0.0,1.0,0.0,32.0,20.0,15.0,14.0,3.0,10.0,23.0,43.5,13.0,46.0,37.0,9.0,50.0,100.0,1.0,3045.0,371.0,1280.0,1645.0,133.0,37.0,3045.0,6.0,12.0,50.0,1950.0,38.0,32.0,4.0,2325.0,17.0,7.0,0.0,41.0,36.0,0.0,1.0,0.0,0.0,172.0,69.0,52.0,57.0
-Răzvan Marin,ro ROU,MF,Cagliari,24,1996,37.0,35.0,2965.0,3.0,6.0,0.0,0.0,6.0,0.0,0.09,0.18,0.27,0.09,0.27,1.4,1.4,0.04,0.04,32.9,10.0,1.0,37.0,0.3,0.11,0.3,0.05,1.6,1.6,1389.0,1698.0,81.8,24363.0,7325.0,631.0,696.0,90.7,548.0,617.0,88.8,163.0,297.0,54.9,69.0,142.0,30.0,5.0,159.0,1451.0,239.0,103.0,1.0,8.0,161.0,119.0,36.0,65.0,0.0,9.0,8.0,22.0,112.0,3.4,62.0,42.0,4.0,1.0,1.0,9.0,0.27,5.0,3.0,1.0,0.0,0.0,0.0,54.0,33.0,26.0,22.0,6.0,27.0,53.0,50.9,26.0,29.0,10.0,19.0,29.0,15.0,0.0,1984.0,44.0,383.0,1089.0,543.0,32.0,1984.0,34.0,73.0,46.6,1065.0,45.0,48.0,7.0,1282.0,49.0,25.0,0.0,49.0,23.0,2.0,0.0,0.0,0.0,186.0,10.0,18.0,35.7
-Marlon,br BRA,DF,Sassuolo,24,1995,24.0,19.0,1742.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.01,0.01,19.4,2.0,0.0,50.0,0.1,0.0,0.0,0.07,-0.3,-0.3,1545.0,1627.0,95.0,26683.0,9056.0,626.0,653.0,95.9,784.0,806.0,97.3,102.0,120.0,85.0,1.0,101.0,1.0,0.0,79.0,1584.0,41.0,39.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,11.0,0.57,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,13.0,13.0,6.0,0.0,13.0,18.0,72.2,5.0,23.0,17.0,6.0,27.0,44.0,2.0,1763.0,152.0,648.0,1068.0,55.0,7.0,1763.0,8.0,8.0,100.0,1127.0,12.0,10.0,0.0,1375.0,5.0,4.0,1.0,26.0,8.0,0.0,0.0,2.0,0.0,112.0,38.0,30.0,55.9
-Luca Marrone,it ITA,DF,Crotone,30,1990,21.0,18.0,1588.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,17.6,2.0,0.0,50.0,0.11,0.0,0.0,0.11,-0.4,-0.4,891.0,1018.0,87.5,17532.0,6431.0,276.0,295.0,93.6,524.0,564.0,92.9,86.0,146.0,58.9,0.0,20.0,1.0,0.0,33.0,961.0,57.0,57.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,0.23,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,18.0,16.0,9.0,0.0,13.0,21.0,61.9,8.0,22.0,11.0,11.0,26.0,56.0,1.0,1169.0,215.0,717.0,443.0,11.0,5.0,1169.0,1.0,2.0,50.0,707.0,4.0,2.0,0.0,780.0,5.0,1.0,0.0,36.0,10.0,0.0,0.0,1.0,1.0,105.0,20.0,22.0,47.6
-Lautaro Martínez,ar ARG,FW,Inter,22,1997,38.0,30.0,2561.0,17.0,6.0,2.0,2.0,5.0,0.0,0.6,0.21,0.81,0.53,0.74,15.2,13.6,0.53,0.48,28.5,37.0,0.0,34.6,1.3,0.14,0.41,0.13,1.8,1.4,380.0,566.0,67.1,5498.0,1325.0,230.0,310.0,74.2,87.0,121.0,71.9,32.0,46.0,69.6,38.0,27.0,19.0,2.0,61.0,558.0,8.0,0.0,1.0,7.0,12.0,0.0,0.0,0.0,0.0,3.0,0.0,28.0,86.0,3.02,56.0,0.0,6.0,8.0,10.0,15.0,0.53,10.0,0.0,0.0,1.0,3.0,1.0,25.0,12.0,5.0,11.0,9.0,7.0,24.0,29.2,17.0,31.0,1.0,30.0,27.0,16.0,0.0,966.0,15.0,83.0,365.0,535.0,184.0,964.0,36.0,71.0,50.7,536.0,48.0,24.0,26.0,706.0,90.0,33.0,0.0,64.0,61.0,11.0,3.0,0.0,0.0,97.0,25.0,48.0,34.2
-Lucas Martínez Quarta,ar ARG,DF,Fiorentina,24,1996,21.0,15.0,1483.0,1.0,0.0,0.0,0.0,4.0,1.0,0.06,0.0,0.06,0.06,0.06,1.5,1.5,0.09,0.09,16.5,4.0,0.0,25.0,0.24,0.06,0.25,0.09,-0.5,-0.5,667.0,830.0,80.4,13041.0,5425.0,243.0,277.0,87.7,328.0,380.0,86.3,92.0,157.0,58.6,7.0,61.0,6.0,3.0,70.0,775.0,52.0,26.0,0.0,16.0,5.0,0.0,0.0,0.0,0.0,26.0,3.0,5.0,17.0,1.03,15.0,0.0,2.0,0.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,0.0,32.0,20.0,17.0,11.0,4.0,18.0,41.0,43.9,23.0,27.0,9.0,18.0,39.0,48.0,0.0,1025.0,96.0,474.0,455.0,108.0,25.0,1025.0,14.0,24.0,58.3,607.0,31.0,31.0,2.0,628.0,14.0,6.0,0.0,23.0,10.0,0.0,0.0,1.0,0.0,107.0,28.0,22.0,56.0
-Adam Marušić,me MNE,DF,Lazio,27,1992,36.0,33.0,2966.0,2.0,3.0,0.0,0.0,3.0,0.0,0.06,0.09,0.15,0.06,0.15,2.2,2.2,0.07,0.07,33.0,12.0,0.0,44.4,0.36,0.07,0.17,0.08,-0.2,-0.2,1312.0,1578.0,83.1,21586.0,6374.0,631.0,699.0,90.3,531.0,606.0,87.6,106.0,182.0,58.2,29.0,70.0,22.0,14.0,92.0,1383.0,192.0,23.0,0.0,6.0,64.0,0.0,0.0,0.0,0.0,168.0,3.0,28.0,63.0,1.91,53.0,4.0,1.0,5.0,0.0,5.0,0.15,4.0,0.0,0.0,1.0,0.0,0.0,38.0,22.0,22.0,15.0,1.0,20.0,40.0,50.0,20.0,38.0,6.0,32.0,40.0,54.0,0.0,1865.0,92.0,546.0,854.0,482.0,59.0,1865.0,24.0,51.0,47.1,1021.0,53.0,40.0,11.0,1186.0,25.0,20.0,0.0,19.0,16.0,4.0,0.0,1.0,1.0,185.0,28.0,27.0,50.9
-Andrea Masiello,it ITA,DF,Genoa,34,1986,30.0,30.0,2563.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.02,0.02,28.5,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.5,-0.5,1185.0,1422.0,83.3,21754.0,8970.0,493.0,540.0,91.3,528.0,597.0,88.4,136.0,238.0,57.1,7.0,75.0,10.0,3.0,99.0,1359.0,58.0,43.0,0.0,30.0,8.0,0.0,0.0,0.0,0.0,15.0,5.0,4.0,19.0,0.67,17.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,22.0,29.0,6.0,3.0,23.0,48.0,47.9,25.0,32.0,13.0,19.0,53.0,107.0,3.0,1670.0,197.0,825.0,772.0,81.0,11.0,1670.0,1.0,1.0,100.0,924.0,9.0,13.0,1.0,1045.0,5.0,4.0,0.0,15.0,12.0,1.0,0.0,1.0,0.0,156.0,40.0,34.0,54.1
-Giuseppe Mastinu,it ITA,FW,Spezia,28,1991,3.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,136.0,41.0,5.0,6.0,83.3,2.0,3.0,66.7,1.0,2.0,50.0,0.0,1.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.63,1.0,0.0,0.0,0.0,0.0,1.0,2.81,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,100.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,17.0,0.0,2.0,10.0,5.0,1.0,17.0,1.0,1.0,100.0,11.0,0.0,0.0,0.0,12.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Ryder Matos,br BRA,MF,Udinese,27,1993,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,87.0,34.0,5.0,6.0,83.3,0.0,0.0,0.0,1.0,2.0,50.0,1.0,1.0,1.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,20.77,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,5.0,4.0,1.0,8.0,1.0,1.0,100.0,9.0,4.0,1.0,0.0,10.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Federico Mattiello,it ITA,DF,Spezia,25,1995,1.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,41.0,65.9,485.0,238.0,13.0,16.0,81.3,8.0,11.0,72.7,5.0,11.0,45.5,0.0,3.0,0.0,0.0,2.0,34.0,7.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,0.0,11.0,22.0,9.0,0.0,41.0,1.0,1.0,100.0,20.0,1.0,0.0,0.0,27.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,25.0
-Borja Mayoral,es ESP,FW,Roma,23,1997,31.0,18.0,1551.0,10.0,3.0,0.0,0.0,1.0,0.0,0.58,0.17,0.75,0.58,0.75,6.8,6.8,0.4,0.4,17.2,15.0,0.0,37.5,0.87,0.25,0.67,0.17,3.2,3.2,291.0,372.0,78.2,4520.0,668.0,169.0,205.0,82.4,77.0,96.0,80.2,28.0,34.0,82.4,23.0,19.0,10.0,0.0,35.0,342.0,30.0,2.0,0.0,7.0,7.0,1.0,0.0,0.0,0.0,2.0,0.0,11.0,50.0,2.9,36.0,0.0,4.0,8.0,2.0,7.0,0.41,3.0,0.0,2.0,1.0,1.0,0.0,3.0,2.0,0.0,0.0,3.0,1.0,10.0,10.0,9.0,5.0,0.0,5.0,0.0,5.0,2.0,504.0,6.0,24.0,215.0,269.0,73.0,504.0,10.0,22.0,45.5,305.0,27.0,16.0,13.0,425.0,39.0,23.0,0.0,10.0,28.0,13.0,1.0,0.0,0.0,27.0,15.0,51.0,22.7
-Antonio Mazzotta,it ITA,DF,Crotone,30,1989,2.0,1.0,56.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,11.0,63.6,91.0,6.0,5.0,7.0,71.4,2.0,3.0,66.7,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,15.0,1.0,3.0,8.0,4.0,1.0,15.0,1.0,1.0,100.0,7.0,1.0,0.0,0.0,9.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Ibrahima Mbaye,sn SEN,DF,Bologna,25,1994,8.0,5.0,428.0,1.0,0.0,0.0,0.0,2.0,0.0,0.21,0.0,0.21,0.21,0.21,0.6,0.0,0.12,0.0,4.8,1.0,0.0,100.0,0.21,1.0,1.0,0.0,0.4,1.0,170.0,210.0,81.0,2544.0,1005.0,92.0,110.0,83.6,63.0,73.0,86.3,9.0,14.0,64.3,1.0,10.0,0.0,0.0,11.0,169.0,41.0,3.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,38.0,0.0,3.0,5.0,1.05,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,5.0,1.0,0.0,3.0,5.0,60.0,2.0,5.0,3.0,2.0,1.0,10.0,0.0,246.0,24.0,81.0,128.0,39.0,3.0,246.0,2.0,7.0,28.6,99.0,3.0,1.0,0.0,136.0,1.0,1.0,0.0,3.0,5.0,1.0,0.0,0.0,0.0,26.0,12.0,11.0,52.2
-Weston McKennie,us USA,MF,Juventus,21,1998,34.0,18.0,1702.0,5.0,2.0,0.0,0.0,5.0,0.0,0.26,0.11,0.37,0.26,0.37,4.9,4.9,0.26,0.26,18.9,14.0,0.0,48.3,0.74,0.17,0.36,0.17,0.1,0.1,659.0,785.0,83.9,9928.0,2170.0,383.0,428.0,89.5,205.0,240.0,85.4,42.0,56.0,75.0,27.0,39.0,16.0,0.0,79.0,759.0,22.0,4.0,1.0,6.0,9.0,0.0,0.0,0.0,0.0,18.0,4.0,17.0,55.0,2.91,47.0,0.0,4.0,4.0,0.0,4.0,0.21,3.0,0.0,0.0,1.0,0.0,0.0,34.0,19.0,9.0,20.0,5.0,12.0,33.0,36.4,21.0,21.0,3.0,18.0,28.0,26.0,0.0,1001.0,42.0,181.0,478.0,350.0,71.0,1001.0,19.0,23.0,82.6,457.0,35.0,27.0,6.0,689.0,38.0,22.0,0.0,44.0,7.0,4.0,0.0,0.0,0.0,100.0,29.0,28.0,50.9
-Gary Medel,cl CHI,"DF,MF",Bologna,32,1987,11.0,6.0,511.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.18,0.18,0.0,0.18,0.0,0.0,0.0,0.0,5.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,314.0,342.0,91.8,6206.0,2177.0,109.0,118.0,92.4,154.0,160.0,96.3,48.0,54.0,88.9,2.0,26.0,1.0,0.0,26.0,325.0,17.0,13.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,5.0,0.88,5.0,0.0,0.0,0.0,0.0,2.0,0.35,2.0,0.0,0.0,0.0,0.0,0.0,12.0,9.0,6.0,5.0,1.0,4.0,10.0,40.0,6.0,8.0,6.0,2.0,7.0,10.0,0.0,385.0,38.0,172.0,200.0,20.0,0.0,385.0,0.0,0.0,0.0,228.0,2.0,3.0,0.0,245.0,6.0,1.0,0.0,5.0,10.0,0.0,0.0,0.0,0.0,43.0,7.0,6.0,53.8
-Soualiho Meïté,fr FRA,MF,Torino,26,1994,14.0,11.0,920.0,1.0,1.0,0.0,0.0,0.0,0.0,0.1,0.1,0.2,0.1,0.2,0.7,0.7,0.07,0.07,10.2,4.0,0.0,50.0,0.39,0.13,0.25,0.1,0.3,0.3,315.0,380.0,82.9,5144.0,1033.0,171.0,189.0,90.5,101.0,115.0,87.8,33.0,46.0,71.7,7.0,19.0,4.0,0.0,35.0,375.0,4.0,4.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,17.0,1.66,14.0,0.0,1.0,2.0,0.0,4.0,0.39,2.0,0.0,0.0,2.0,0.0,0.0,11.0,7.0,6.0,4.0,1.0,5.0,16.0,31.3,11.0,18.0,1.0,17.0,10.0,9.0,1.0,486.0,12.0,117.0,266.0,113.0,10.0,486.0,23.0,33.0,69.7,271.0,11.0,12.0,1.0,344.0,16.0,21.0,0.0,11.0,9.0,1.0,0.0,0.0,0.0,57.0,6.0,10.0,37.5
-Soualiho Meïté,fr FRA,MF,Milan,26,1994,16.0,4.0,588.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,6.5,3.0,0.0,42.9,0.46,0.0,0.0,0.05,-0.3,-0.3,243.0,289.0,84.1,3973.0,940.0,116.0,138.0,84.1,93.0,104.0,89.4,21.0,25.0,84.0,5.0,31.0,4.0,0.0,28.0,280.0,7.0,6.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,16.0,2.45,12.0,0.0,1.0,1.0,1.0,2.0,0.31,2.0,0.0,0.0,0.0,0.0,0.0,18.0,10.0,10.0,6.0,2.0,8.0,17.0,47.1,9.0,9.0,2.0,7.0,8.0,16.0,0.0,381.0,22.0,91.0,219.0,78.0,7.0,381.0,9.0,12.0,75.0,181.0,12.0,8.0,1.0,223.0,6.0,11.0,0.0,13.0,14.0,2.0,0.0,0.0,0.0,62.0,12.0,8.0,60.0
-Filippo Melegoni,it ITA,"MF,DF",Genoa,21,1999,14.0,3.0,389.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.08,0.08,4.3,1.0,2.0,25.0,0.23,0.0,0.0,0.09,-0.4,-0.4,197.0,234.0,84.2,2925.0,760.0,106.0,116.0,91.4,64.0,75.0,85.3,14.0,22.0,63.6,4.0,12.0,4.0,0.0,16.0,208.0,24.0,2.0,0.0,2.0,14.0,11.0,6.0,2.0,0.0,10.0,2.0,1.0,7.0,1.62,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,2.0,5.0,0.0,3.0,6.0,50.0,3.0,5.0,0.0,5.0,5.0,8.0,0.0,291.0,9.0,65.0,133.0,95.0,5.0,291.0,8.0,11.0,72.7,190.0,11.0,7.0,2.0,213.0,13.0,8.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,14.0,2.0,2.0,50.0
-Arthur Melo,br BRA,MF,Juventus,23,1996,22.0,13.0,1157.0,1.0,0.0,0.0,0.0,3.0,0.0,0.08,0.0,0.08,0.08,0.08,0.1,0.1,0.01,0.01,12.9,1.0,0.0,33.3,0.08,0.33,1.0,0.05,0.9,0.9,1016.0,1085.0,93.6,17776.0,5067.0,437.0,464.0,94.2,450.0,464.0,97.0,102.0,116.0,87.9,17.0,84.0,7.0,0.0,79.0,1054.0,29.0,25.0,0.0,9.0,3.0,3.0,2.0,0.0,0.0,1.0,2.0,7.0,25.0,1.94,24.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,9.0,7.0,10.0,0.0,12.0,31.0,38.7,19.0,6.0,1.0,5.0,18.0,9.0,1.0,1175.0,42.0,306.0,685.0,195.0,7.0,1175.0,19.0,24.0,79.2,737.0,9.0,22.0,1.0,954.0,15.0,11.0,0.0,11.0,21.0,0.0,0.0,0.0,0.0,93.0,2.0,4.0,33.3
-Alex Meret,it ITA,GK,Napoli,23,1997,22.0,22.0,1980.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,541.0,605.0,89.4,12081.0,7214.0,163.0,164.0,99.4,249.0,254.0,98.0,126.0,181.0,69.6,1.0,1.0,0.0,0.0,0.0,482.0,121.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,0.14,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,640.0,576.0,639.0,1.0,0.0,0.0,640.0,0.0,0.0,0.0,393.0,0.0,0.0,0.0,346.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,35.0,5.0,1.0,83.3
-Yıldırım Mert Çetin,tr TUR,DF,Hellas Verona,23,1997,6.0,4.0,418.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,4.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,116.0,147.0,78.9,2484.0,679.0,33.0,46.0,71.7,64.0,72.0,88.9,19.0,26.0,73.1,0.0,5.0,0.0,0.0,9.0,134.0,12.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,1.0,0.27,0.0,0.0,1.0,0.0,0.0,1.0,0.27,0.0,0.0,1.0,0.0,0.0,0.0,8.0,4.0,3.0,5.0,0.0,2.0,6.0,33.3,4.0,7.0,5.0,2.0,14.0,11.0,1.0,192.0,21.0,87.0,90.0,19.0,2.0,192.0,2.0,3.0,66.7,86.0,3.0,2.0,1.0,89.0,1.0,2.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,26.0,13.0,10.0,56.5
-Dries Mertens,be BEL,"FW,MF",Napoli,33,1987,29.0,18.0,1459.0,9.0,8.0,0.0,0.0,2.0,0.0,0.56,0.49,1.05,0.56,1.05,5.0,5.0,0.31,0.31,16.2,19.0,6.0,35.2,1.17,0.17,0.47,0.09,4.0,4.0,352.0,488.0,72.1,5375.0,1601.0,187.0,215.0,87.0,121.0,158.0,76.6,21.0,58.0,36.2,36.0,29.0,18.0,4.0,67.0,428.0,58.0,8.0,3.0,2.0,64.0,26.0,2.0,21.0,0.0,0.0,2.0,17.0,62.0,3.83,50.0,4.0,1.0,3.0,1.0,10.0,0.62,8.0,0.0,0.0,0.0,1.0,1.0,16.0,14.0,4.0,7.0,5.0,5.0,25.0,20.0,20.0,7.0,1.0,6.0,9.0,3.0,1.0,615.0,7.0,37.0,223.0,360.0,93.0,615.0,11.0,22.0,50.0,346.0,28.0,13.0,12.0,440.0,16.0,5.0,0.0,15.0,9.0,5.0,0.0,0.0,0.0,40.0,2.0,11.0,15.4
-Junior Messias,br BRA,"MF,FW",Crotone,29,1991,36.0,36.0,3215.0,9.0,4.0,0.0,0.0,6.0,0.0,0.25,0.11,0.36,0.25,0.36,7.6,7.6,0.21,0.21,35.7,31.0,9.0,31.6,0.87,0.09,0.29,0.08,1.4,1.4,871.0,1214.0,71.7,14046.0,3935.0,459.0,548.0,83.8,297.0,395.0,75.2,80.0,177.0,45.2,32.0,79.0,34.0,7.0,135.0,1100.0,105.0,40.0,1.0,9.0,123.0,44.0,29.0,4.0,0.0,15.0,9.0,21.0,112.0,3.14,49.0,10.0,21.0,17.0,11.0,16.0,0.45,5.0,2.0,1.0,4.0,1.0,3.0,60.0,35.0,26.0,24.0,10.0,22.0,70.0,31.4,48.0,32.0,12.0,20.0,35.0,40.0,0.0,1743.0,72.0,277.0,796.0,717.0,96.0,1743.0,105.0,163.0,64.4,1077.0,166.0,115.0,30.0,1218.0,110.0,58.0,0.0,34.0,93.0,5.0,1.0,0.0,0.0,166.0,34.0,65.0,34.3
-Petar Mićin,rs SRB,MF,Udinese,21,1998,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,9.0,88.9,189.0,15.0,1.0,1.0,100.0,6.0,7.0,85.7,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,5.0,4.0,0.0,9.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Valentin Mihaila,ro ROU,"FW,MF",Parma,20,2000,16.0,4.0,698.0,3.0,0.0,0.0,0.0,2.0,0.0,0.39,0.0,0.39,0.39,0.39,2.7,2.7,0.35,0.35,7.8,10.0,0.0,52.6,1.29,0.16,0.3,0.14,0.3,0.3,124.0,192.0,64.6,1814.0,378.0,74.0,97.0,76.3,34.0,49.0,69.4,10.0,22.0,45.5,7.0,7.0,3.0,2.0,9.0,185.0,7.0,0.0,1.0,3.0,14.0,2.0,1.0,1.0,0.0,5.0,0.0,10.0,19.0,2.45,14.0,0.0,3.0,1.0,1.0,2.0,0.26,1.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,10.0,0.0,10.0,8.0,1.0,7.0,5.0,8.0,0.0,288.0,9.0,40.0,104.0,148.0,31.0,288.0,14.0,28.0,50.0,179.0,30.0,19.0,14.0,202.0,20.0,6.0,0.0,5.0,8.0,5.0,1.0,0.0,0.0,20.0,3.0,15.0,16.7
-Nikola Milenković,rs SRB,DF,Fiorentina,22,1997,34.0,34.0,3034.0,3.0,1.0,0.0,0.0,7.0,1.0,0.09,0.03,0.12,0.09,0.12,3.9,3.9,0.12,0.12,33.7,9.0,0.0,42.9,0.27,0.14,0.33,0.21,-0.9,-0.9,1435.0,1686.0,85.1,26739.0,9333.0,536.0,607.0,88.3,723.0,802.0,90.1,155.0,222.0,69.8,7.0,112.0,4.0,0.0,123.0,1527.0,156.0,63.0,0.0,21.0,6.0,0.0,0.0,0.0,0.0,93.0,3.0,17.0,23.0,0.68,18.0,1.0,1.0,3.0,0.0,4.0,0.12,2.0,0.0,0.0,2.0,0.0,0.0,49.0,29.0,33.0,14.0,2.0,21.0,33.0,63.6,12.0,42.0,33.0,9.0,44.0,122.0,1.0,2001.0,214.0,856.0,997.0,164.0,29.0,2001.0,8.0,11.0,72.7,973.0,25.0,23.0,1.0,1161.0,13.0,4.0,0.0,56.0,16.0,0.0,0.0,1.0,0.0,148.0,101.0,30.0,77.1
-Sergej Milinković-Savić,rs SRB,MF,Lazio,25,1995,32.0,32.0,2746.0,8.0,9.0,0.0,0.0,4.0,0.0,0.26,0.29,0.56,0.26,0.56,6.9,6.9,0.23,0.23,30.5,21.0,11.0,33.3,0.69,0.13,0.38,0.11,1.1,1.1,1401.0,1823.0,76.9,24735.0,7013.0,661.0,793.0,83.4,519.0,631.0,82.3,176.0,279.0,63.1,42.0,144.0,60.0,15.0,203.0,1767.0,44.0,19.0,4.0,25.0,57.0,1.0,0.0,0.0,0.0,24.0,12.0,30.0,94.0,3.08,77.0,1.0,2.0,6.0,4.0,17.0,0.56,15.0,0.0,0.0,0.0,1.0,1.0,59.0,40.0,20.0,30.0,9.0,27.0,84.0,32.1,57.0,52.0,12.0,40.0,33.0,47.0,0.0,2222.0,83.0,408.0,1189.0,654.0,78.0,2222.0,30.0,43.0,69.8,1253.0,59.0,51.0,11.0,1693.0,80.0,46.0,0.0,56.0,50.0,9.0,2.0,2.0,0.0,212.0,99.0,85.0,53.8
-Vanja Milinković-Savić,rs SRB,GK,Torino,23,1997,5.0,5.0,450.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,116.0,176.0,65.9,3057.0,2138.0,20.0,20.0,100.0,68.0,69.0,98.6,27.0,85.0,31.8,0.0,5.0,1.0,0.0,0.0,126.0,49.0,17.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,188.0,143.0,187.0,2.0,0.0,0.0,188.0,0.0,0.0,0.0,114.0,0.0,0.0,0.0,84.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,11.0,1.0,0.0,100.0
-Vincenzo Millico,it ITA,"FW,MF",Torino,19,2000,3.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,9.0,77.8,145.0,39.0,2.0,3.0,66.7,2.0,2.0,100.0,2.0,3.0,66.7,1.0,1.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.29,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,1.0,7.0,4.0,0.0,12.0,0.0,1.0,0.0,9.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Aleksei Miranchuk,ru RUS,"MF,FW",Atalanta,24,1995,25.0,4.0,675.0,4.0,2.0,0.0,0.0,0.0,0.0,0.53,0.27,0.8,0.53,0.8,1.2,1.2,0.16,0.16,7.5,6.0,1.0,40.0,0.8,0.27,0.67,0.08,2.8,2.8,316.0,408.0,77.5,4745.0,1061.0,169.0,198.0,85.4,111.0,135.0,82.2,23.0,39.0,59.0,14.0,26.0,21.0,3.0,47.0,385.0,20.0,4.0,2.0,1.0,15.0,9.0,4.0,4.0,0.0,5.0,3.0,9.0,34.0,4.53,25.0,3.0,1.0,2.0,3.0,5.0,0.67,4.0,0.0,0.0,1.0,0.0,0.0,24.0,13.0,8.0,9.0,7.0,6.0,9.0,66.7,3.0,1.0,0.0,1.0,3.0,1.0,0.0,493.0,0.0,40.0,188.0,271.0,31.0,493.0,14.0,23.0,60.9,330.0,26.0,20.0,10.0,384.0,18.0,13.0,0.0,17.0,20.0,2.0,0.0,0.0,0.0,44.0,8.0,12.0,40.0
-Antonio Mirante,it ITA,GK,Roma,37,1983,13.0,13.0,1153.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,311.0,392.0,79.3,8090.0,5814.0,55.0,55.0,100.0,160.0,162.0,98.8,95.0,173.0,54.9,0.0,3.0,0.0,0.0,0.0,277.0,115.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.25,3.0,0.0,0.0,0.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,7.0,2.0,424.0,377.0,420.0,4.0,0.0,0.0,424.0,0.0,0.0,0.0,205.0,0.0,0.0,0.0,179.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,29.0,0.0,1.0,0.0
-Henrikh Mkhitaryan,am ARM,"MF,FW",Roma,31,1989,34.0,30.0,2745.0,13.0,10.0,1.0,1.0,2.0,0.0,0.43,0.33,0.75,0.39,0.72,10.9,10.1,0.37,0.34,30.5,33.0,1.0,40.7,1.08,0.15,0.36,0.13,2.1,1.9,893.0,1180.0,75.7,13683.0,3609.0,479.0,575.0,83.3,322.0,395.0,81.5,56.0,95.0,58.9,48.0,62.0,46.0,6.0,138.0,1146.0,27.0,7.0,13.0,7.0,53.0,4.0,2.0,1.0,0.0,16.0,7.0,49.0,117.0,3.97,93.0,1.0,10.0,8.0,5.0,17.0,0.58,14.0,0.0,1.0,1.0,1.0,0.0,58.0,24.0,13.0,27.0,18.0,13.0,62.0,21.0,49.0,34.0,0.0,34.0,39.0,10.0,0.0,1515.0,14.0,154.0,697.0,695.0,140.0,1514.0,48.0,85.0,56.5,811.0,103.0,79.0,41.0,1107.0,49.0,23.0,0.0,36.0,46.0,10.0,1.0,0.0,0.0,150.0,13.0,27.0,32.5
-Johan Mojica,co COL,DF,Atalanta,27,1992,11.0,3.0,299.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,178.0,222.0,80.2,2773.0,822.0,93.0,108.0,86.1,73.0,86.0,84.9,10.0,17.0,58.8,4.0,13.0,5.0,3.0,13.0,201.0,21.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,21.0,0.0,7.0,6.0,1.8,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,3.0,1.0,0.0,2.0,3.0,66.7,1.0,3.0,0.0,3.0,7.0,6.0,0.0,262.0,11.0,64.0,101.0,97.0,6.0,262.0,2.0,6.0,33.3,169.0,14.0,8.0,3.0,176.0,8.0,6.0,0.0,4.0,1.0,0.0,0.0,1.0,0.0,32.0,5.0,4.0,55.6
-Nahuel Molina,ar ARG,DF,Udinese,22,1998,29.0,18.0,1828.0,2.0,5.0,0.0,0.0,1.0,0.0,0.1,0.25,0.34,0.1,0.34,1.4,1.4,0.07,0.07,20.3,6.0,0.0,37.5,0.3,0.13,0.33,0.09,0.6,0.6,769.0,1009.0,76.2,10986.0,3944.0,468.0,531.0,88.1,224.0,305.0,73.4,43.0,94.0,45.7,22.0,43.0,21.0,12.0,70.0,820.0,187.0,5.0,1.0,1.0,85.0,0.0,0.0,0.0,0.0,182.0,2.0,30.0,50.0,2.46,40.0,4.0,3.0,2.0,0.0,12.0,0.59,10.0,0.0,2.0,0.0,0.0,0.0,27.0,18.0,13.0,10.0,4.0,16.0,42.0,38.1,26.0,26.0,4.0,22.0,21.0,49.0,1.0,1201.0,67.0,323.0,459.0,428.0,36.0,1201.0,15.0,21.0,71.4,577.0,34.0,23.0,7.0,682.0,29.0,7.0,0.0,16.0,11.0,4.0,0.0,2.0,0.0,106.0,11.0,13.0,45.8
-Salvatore Molina,it ITA,"MF,DF",Crotone,28,1992,29.0,28.0,2315.0,1.0,4.0,0.0,0.0,1.0,0.0,0.04,0.16,0.19,0.04,0.19,0.7,0.7,0.03,0.03,25.7,5.0,0.0,33.3,0.19,0.07,0.2,0.05,0.3,0.3,842.0,1082.0,77.8,14821.0,4433.0,405.0,448.0,90.4,329.0,401.0,82.0,93.0,172.0,54.1,23.0,59.0,32.0,17.0,97.0,993.0,84.0,10.0,0.0,8.0,71.0,7.0,5.0,0.0,0.0,67.0,5.0,25.0,46.0,1.79,37.0,3.0,3.0,1.0,2.0,6.0,0.23,6.0,0.0,0.0,0.0,0.0,0.0,39.0,22.0,18.0,14.0,7.0,29.0,45.0,64.4,16.0,30.0,8.0,22.0,17.0,41.0,0.0,1326.0,84.0,402.0,605.0,334.0,21.0,1326.0,25.0,44.0,56.8,758.0,34.0,27.0,5.0,869.0,36.0,30.0,0.0,23.0,39.0,2.0,0.0,0.0,1.0,161.0,21.0,18.0,53.8
-Gabriele Moncini,it ITA,"FW,MF",Benevento,24,1996,10.0,4.0,357.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.18,0.18,4.0,1.0,0.0,12.5,0.25,0.0,0.0,0.09,-0.7,-0.7,52.0,87.0,59.8,673.0,124.0,37.0,60.0,61.7,9.0,17.0,52.9,3.0,4.0,75.0,3.0,4.0,0.0,0.0,5.0,77.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,7.0,1.76,4.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,0.0,2.0,2.0,4.0,0.0,129.0,4.0,10.0,83.0,39.0,13.0,129.0,4.0,6.0,66.7,73.0,3.0,1.0,2.0,96.0,12.0,3.0,0.0,9.0,10.0,1.0,0.0,0.0,0.0,18.0,10.0,17.0,37.0
-Cristóbal Montiel,es ESP,"MF,FW",Fiorentina,20,2000,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,55.0,2.0,0.0,1.0,0.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,0.0,3.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Lorenzo Montipò,it ITA,GK,Benevento,24,1996,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,803.0,1242.0,64.7,24351.0,17210.0,141.0,142.0,99.3,294.0,307.0,95.8,362.0,780.0,46.4,0.0,7.0,0.0,0.0,1.0,788.0,449.0,178.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,16.0,3.0,1338.0,1090.0,1334.0,4.0,0.0,0.0,1338.0,0.0,0.0,0.0,607.0,0.0,0.0,0.0,523.0,1.0,0.0,0.0,3.0,6.0,0.0,0.0,2.0,1.0,31.0,9.0,2.0,81.8
-Luca Mora,it ITA,MF,Spezia,32,1988,4.0,1.0,113.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.3,1.0,0.0,100.0,0.8,0.0,0.0,0.08,-0.1,-0.1,38.0,59.0,64.4,584.0,149.0,21.0,26.0,80.8,16.0,23.0,69.6,1.0,7.0,14.3,0.0,4.0,0.0,0.0,2.0,57.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.79,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,4.0,50.0,2.0,2.0,1.0,1.0,0.0,2.0,0.0,76.0,4.0,15.0,41.0,20.0,2.0,76.0,1.0,1.0,100.0,40.0,0.0,3.0,0.0,56.0,4.0,3.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,5.0,5.0,1.0,83.3
-Álvaro Morata,es ESP,FW,Juventus,27,1992,32.0,23.0,2014.0,11.0,9.0,1.0,1.0,3.0,1.0,0.49,0.4,0.89,0.45,0.85,10.7,9.9,0.48,0.44,22.4,23.0,0.0,41.8,1.03,0.18,0.43,0.18,0.3,0.1,445.0,601.0,74.0,6767.0,1186.0,242.0,302.0,80.1,136.0,168.0,81.0,37.0,54.0,68.5,40.0,26.0,23.0,2.0,56.0,556.0,38.0,2.0,3.0,6.0,18.0,0.0,0.0,0.0,0.0,1.0,7.0,15.0,72.0,3.22,55.0,0.0,4.0,8.0,5.0,15.0,0.67,12.0,0.0,0.0,2.0,1.0,0.0,17.0,12.0,2.0,10.0,5.0,4.0,28.0,14.3,24.0,22.0,2.0,20.0,5.0,21.0,0.0,851.0,27.0,60.0,376.0,423.0,130.0,850.0,23.0,41.0,56.1,424.0,55.0,35.0,21.0,656.0,74.0,41.0,0.0,37.0,44.0,19.0,1.0,0.0,0.0,55.0,33.0,34.0,49.3
-Raúl Moro,es ESP,FW,Lazio,17,2002,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,1.0,1.0,1.0,4.0,0.0,2.0,0.0,3.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Mert Müldür,tr TUR,DF,Sassuolo,21,1999,28.0,18.0,1672.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.04,0.04,18.6,1.0,0.0,6.7,0.05,0.0,0.0,0.05,-0.8,-0.8,813.0,1027.0,79.2,12826.0,3819.0,441.0,504.0,87.5,301.0,373.0,80.7,54.0,87.0,62.1,9.0,57.0,15.0,3.0,81.0,862.0,163.0,17.0,0.0,3.0,48.0,0.0,0.0,0.0,0.0,146.0,2.0,28.0,27.0,1.46,24.0,0.0,0.0,2.0,1.0,3.0,0.16,2.0,0.0,0.0,1.0,0.0,0.0,43.0,20.0,26.0,9.0,8.0,27.0,53.0,50.9,26.0,17.0,1.0,16.0,36.0,41.0,0.0,1241.0,64.0,377.0,512.0,365.0,41.0,1241.0,20.0,39.0,51.3,654.0,49.0,21.0,6.0,769.0,27.0,10.0,0.0,20.0,15.0,0.0,0.0,0.0,0.0,86.0,19.0,21.0,47.5
-Luis Muriel,co COL,FW,Atalanta,29,1991,36.0,16.0,1436.0,22.0,7.0,2.0,3.0,0.0,0.0,1.38,0.44,1.82,1.25,1.69,15.5,13.1,0.97,0.82,16.0,36.0,8.0,42.9,2.26,0.24,0.56,0.16,6.5,6.9,496.0,717.0,69.2,7546.0,2047.0,275.0,337.0,81.6,155.0,212.0,73.1,42.0,98.0,42.9,47.0,35.0,39.0,3.0,83.0,635.0,80.0,11.0,2.0,8.0,82.0,46.0,29.0,16.0,0.0,7.0,2.0,25.0,103.0,6.45,68.0,11.0,13.0,6.0,4.0,21.0,1.31,12.0,2.0,4.0,2.0,0.0,1.0,20.0,9.0,4.0,8.0,8.0,9.0,26.0,34.6,17.0,17.0,0.0,17.0,7.0,4.0,0.0,999.0,4.0,43.0,326.0,643.0,125.0,996.0,53.0,90.0,58.9,602.0,70.0,35.0,39.0,754.0,59.0,50.0,0.0,18.0,20.0,3.0,1.0,0.0,0.0,51.0,25.0,47.0,34.7
-Vedat Muriqi,xk KVX,FW,Lazio,26,1994,27.0,7.0,832.0,1.0,0.0,0.0,0.0,1.0,0.0,0.11,0.0,0.11,0.11,0.11,3.2,3.2,0.34,0.34,9.2,8.0,0.0,25.8,0.87,0.03,0.13,0.1,-2.2,-2.2,171.0,252.0,67.9,2359.0,375.0,111.0,148.0,75.0,39.0,56.0,69.6,12.0,16.0,75.0,10.0,11.0,8.0,0.0,20.0,250.0,1.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,24.0,2.6,19.0,0.0,0.0,5.0,0.0,2.0,0.22,1.0,0.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,2.0,1.0,0.0,8.0,0.0,8.0,9.0,2.0,7.0,3.0,20.0,0.0,384.0,20.0,41.0,158.0,188.0,63.0,384.0,2.0,7.0,28.6,204.0,9.0,2.0,4.0,304.0,32.0,17.0,0.0,14.0,19.0,15.0,0.0,0.0,0.0,30.0,54.0,43.0,55.7
-Nicola Murru,it ITA,DF,Torino,25,1994,14.0,7.0,569.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.07,0.07,6.3,1.0,0.0,20.0,0.16,0.0,0.0,0.09,-0.4,-0.4,231.0,352.0,65.6,3768.0,1402.0,121.0,146.0,82.9,79.0,121.0,65.3,22.0,56.0,39.3,3.0,21.0,3.0,2.0,26.0,272.0,76.0,8.0,0.0,1.0,21.0,0.0,0.0,0.0,0.0,68.0,4.0,13.0,14.0,2.21,7.0,1.0,3.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,1.0,5.0,3.0,3.0,5.0,60.0,2.0,11.0,1.0,10.0,12.0,24.0,0.0,436.0,23.0,118.0,194.0,126.0,10.0,436.0,5.0,12.0,41.7,214.0,15.0,11.0,4.0,234.0,6.0,5.0,0.0,12.0,12.0,0.0,0.0,0.0,0.0,35.0,10.0,9.0,52.6
-Mateo Musacchio,ar ARG,DF,Lazio,29,1990,4.0,2.0,229.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,104.0,116.0,89.7,1924.0,448.0,37.0,39.0,94.9,54.0,59.0,91.5,10.0,14.0,71.4,0.0,8.0,0.0,0.0,8.0,109.0,7.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,2.0,5.0,0.0,136.0,8.0,60.0,68.0,10.0,0.0,136.0,1.0,1.0,100.0,78.0,4.0,2.0,0.0,98.0,3.0,1.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,8.0,2.0,7.0,22.2
-Mateo Musacchio,ar ARG,DF,Milan,29,1990,1.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,20.0,95.0,305.0,157.0,9.0,9.0,100.0,6.0,6.0,100.0,2.0,3.0,66.7,0.0,2.0,0.0,0.0,1.0,19.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,3.0,66.7,1.0,1.0,0.0,1.0,3.0,0.0,0.0,28.0,2.0,15.0,13.0,0.0,0.0,28.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Juan Musso,ar ARG,GK,Udinese,26,1994,35.0,35.0,3147.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,769.0,1017.0,75.6,20946.0,14856.0,170.0,170.0,100.0,336.0,342.0,98.2,253.0,492.0,51.4,0.0,6.0,0.0,0.0,0.0,674.0,340.0,85.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,8.0,1.0,1093.0,958.0,1086.0,7.0,1.0,1.0,1093.0,1.0,1.0,100.0,600.0,0.0,1.0,1.0,400.0,0.0,0.0,0.0,4.0,4.0,0.0,0.0,4.0,0.0,43.0,8.0,0.0,100.0
-Joakim Mæhle,dk DEN,DF,Atalanta,23,1997,20.0,12.0,1216.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.15,0.15,0.0,0.15,1.6,1.6,0.12,0.12,13.5,6.0,0.0,28.6,0.44,0.0,0.0,0.07,-1.6,-1.6,583.0,738.0,79.0,8252.0,3497.0,359.0,415.0,86.5,185.0,239.0,77.4,20.0,40.0,50.0,14.0,37.0,18.0,8.0,63.0,613.0,125.0,9.0,0.0,3.0,36.0,0.0,0.0,0.0,0.0,116.0,0.0,18.0,37.0,2.74,28.0,1.0,3.0,4.0,1.0,5.0,0.37,4.0,1.0,0.0,0.0,0.0,0.0,18.0,10.0,7.0,5.0,6.0,8.0,19.0,42.1,11.0,17.0,2.0,15.0,11.0,5.0,0.0,880.0,14.0,179.0,344.0,367.0,42.0,880.0,16.0,31.0,51.6,473.0,35.0,22.0,7.0,556.0,28.0,11.0,0.0,10.0,11.0,0.0,0.0,1.0,0.0,74.0,7.0,12.0,36.8
-Radja Nainggolan,be BEL,MF,Cagliari,32,1988,22.0,22.0,1841.0,1.0,0.0,0.0,0.0,5.0,0.0,0.05,0.0,0.05,0.05,0.05,1.5,1.5,0.07,0.07,20.5,6.0,0.0,12.2,0.29,0.02,0.17,0.03,-0.5,-0.5,629.0,843.0,74.6,12814.0,3045.0,248.0,308.0,80.5,258.0,310.0,83.2,115.0,168.0,68.5,23.0,79.0,23.0,15.0,95.0,805.0,29.0,9.0,1.0,15.0,72.0,4.0,3.0,1.0,0.0,8.0,9.0,32.0,58.0,2.84,46.0,3.0,3.0,2.0,2.0,4.0,0.2,4.0,0.0,0.0,0.0,0.0,0.0,41.0,26.0,22.0,14.0,5.0,19.0,34.0,55.9,15.0,18.0,0.0,18.0,15.0,15.0,1.0,1088.0,28.0,184.0,542.0,389.0,27.0,1088.0,29.0,60.0,48.3,633.0,49.0,38.0,5.0,716.0,33.0,33.0,0.0,21.0,21.0,0.0,0.0,0.0,0.0,141.0,17.0,15.0,53.1
-Radja Nainggolan,be BEL,MF,Inter,32,1988,4.0,0.0,46.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.29,0.29,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,31.0,38.0,81.6,472.0,77.0,18.0,20.0,90.0,11.0,12.0,91.7,1.0,2.0,50.0,0.0,4.0,0.0,0.0,1.0,37.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,8.18,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,45.0,0.0,2.0,25.0,18.0,1.0,45.0,0.0,0.0,0.0,31.0,0.0,0.0,0.0,37.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Nahitan Nández,uy URU,"MF,DF",Cagliari,24,1995,32.0,31.0,2737.0,2.0,2.0,0.0,0.0,8.0,1.0,0.07,0.07,0.13,0.07,0.13,3.3,3.3,0.11,0.11,30.4,14.0,0.0,43.8,0.46,0.06,0.14,0.1,-1.3,-1.3,892.0,1217.0,73.3,13962.0,4527.0,480.0,550.0,87.3,316.0,436.0,72.5,65.0,129.0,50.4,30.0,62.0,38.0,19.0,90.0,1076.0,136.0,7.0,0.0,4.0,95.0,0.0,0.0,0.0,0.0,128.0,5.0,36.0,75.0,2.47,53.0,2.0,9.0,5.0,4.0,10.0,0.33,7.0,0.0,2.0,1.0,0.0,0.0,56.0,28.0,23.0,23.0,10.0,25.0,68.0,36.8,43.0,26.0,4.0,22.0,23.0,49.0,0.0,1563.0,66.0,341.0,707.0,541.0,63.0,1563.0,37.0,74.0,50.0,856.0,80.0,44.0,22.0,990.0,52.0,30.0,0.0,40.0,59.0,8.0,0.0,0.0,0.0,181.0,42.0,59.0,41.6
-Ilija Nestorovski,mk MKD,"FW,MF",Udinese,30,1990,22.0,4.0,701.0,2.0,2.0,0.0,0.0,1.0,0.0,0.26,0.26,0.51,0.26,0.51,4.7,4.7,0.6,0.6,7.8,9.0,0.0,36.0,1.16,0.08,0.22,0.19,-2.7,-2.7,131.0,184.0,71.2,1720.0,303.0,87.0,105.0,82.9,28.0,46.0,60.9,8.0,16.0,50.0,13.0,11.0,4.0,0.0,13.0,173.0,11.0,0.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,26.0,3.33,19.0,0.0,1.0,3.0,2.0,2.0,0.26,1.0,0.0,0.0,1.0,0.0,0.0,6.0,4.0,2.0,3.0,1.0,2.0,13.0,15.4,11.0,5.0,0.0,5.0,1.0,7.0,0.0,267.0,6.0,19.0,123.0,126.0,42.0,267.0,3.0,4.0,75.0,144.0,2.0,9.0,1.0,189.0,15.0,9.0,0.0,16.0,16.0,5.0,0.0,0.0,0.0,22.0,13.0,20.0,39.4
-Nicolas Nkoulou,cm CMR,DF,Torino,30,1990,18.0,16.0,1358.0,1.0,0.0,0.0,0.0,5.0,0.0,0.07,0.0,0.07,0.07,0.07,0.5,0.5,0.03,0.03,15.1,1.0,0.0,33.3,0.07,0.33,1.0,0.16,0.5,0.5,619.0,721.0,85.9,12441.0,4303.0,200.0,215.0,93.0,337.0,363.0,92.8,81.0,130.0,62.3,2.0,25.0,1.0,0.0,25.0,690.0,30.0,30.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,8.0,0.53,7.0,0.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,14.0,9.0,11.0,3.0,0.0,7.0,12.0,58.3,5.0,28.0,14.0,14.0,33.0,71.0,1.0,886.0,173.0,532.0,357.0,6.0,4.0,886.0,4.0,5.0,80.0,475.0,2.0,0.0,0.0,536.0,5.0,0.0,0.0,15.0,25.0,0.0,0.0,3.0,0.0,104.0,26.0,38.0,40.6
-Bram Nuytinck,nl NED,DF,Udinese,30,1990,20.0,19.0,1641.0,1.0,0.0,0.0,0.0,1.0,0.0,0.05,0.0,0.05,0.05,0.05,0.4,0.4,0.02,0.02,18.2,2.0,0.0,50.0,0.11,0.25,0.5,0.09,0.6,0.6,697.0,835.0,83.5,13452.0,5102.0,235.0,260.0,90.4,380.0,419.0,90.7,74.0,131.0,56.5,3.0,38.0,1.0,1.0,54.0,796.0,33.0,31.0,0.0,7.0,3.0,0.0,0.0,0.0,0.0,2.0,6.0,7.0,7.0,0.38,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,15.0,10.0,9.0,2.0,13.0,20.0,65.0,7.0,30.0,17.0,13.0,25.0,77.0,0.0,1026.0,147.0,536.0,466.0,26.0,8.0,1026.0,4.0,5.0,80.0,576.0,14.0,5.0,1.0,649.0,7.0,1.0,0.0,8.0,5.0,0.0,0.0,0.0,0.0,65.0,35.0,15.0,70.0
-Simeon Nwankwo,ng NGA,FW,Crotone,28,1992,38.0,31.0,2943.0,20.0,2.0,8.0,8.0,1.0,0.0,0.61,0.06,0.67,0.37,0.43,19.1,12.8,0.59,0.39,32.7,24.0,0.0,43.6,0.73,0.22,0.5,0.23,0.9,-0.8,534.0,698.0,76.5,7483.0,1066.0,324.0,392.0,82.7,159.0,194.0,82.0,21.0,33.0,63.6,27.0,29.0,5.0,0.0,50.0,600.0,97.0,0.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,24.0,53.0,1.62,42.0,0.0,5.0,3.0,3.0,5.0,0.15,4.0,0.0,1.0,0.0,0.0,0.0,9.0,2.0,2.0,6.0,1.0,3.0,22.0,13.6,19.0,21.0,5.0,16.0,6.0,51.0,0.0,1078.0,64.0,104.0,597.0,381.0,121.0,1070.0,36.0,57.0,63.2,529.0,22.0,12.0,10.0,745.0,122.0,74.0,0.0,50.0,44.0,23.0,0.0,0.0,0.0,64.0,61.0,98.0,38.4
-M'Bala Nzola,ao ANG,FW,Spezia,23,1996,25.0,21.0,1896.0,11.0,3.0,4.0,4.0,5.0,0.0,0.52,0.14,0.66,0.33,0.47,9.3,6.2,0.44,0.29,21.1,14.0,0.0,34.1,0.66,0.17,0.5,0.15,1.7,0.8,388.0,464.0,83.6,5607.0,516.0,225.0,262.0,85.9,112.0,125.0,89.6,24.0,26.0,92.3,22.0,15.0,5.0,0.0,25.0,405.0,57.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,2.0,9.0,44.0,2.09,32.0,0.0,4.0,7.0,1.0,5.0,0.24,2.0,0.0,0.0,3.0,0.0,0.0,12.0,5.0,2.0,6.0,4.0,4.0,7.0,57.1,3.0,15.0,1.0,14.0,3.0,20.0,0.0,728.0,21.0,41.0,337.0,359.0,95.0,724.0,27.0,43.0,62.8,415.0,26.0,23.0,13.0,536.0,83.0,41.0,0.0,55.0,27.0,26.0,0.0,1.0,0.0,54.0,41.0,84.0,32.8
-Pedro Obiang,gq EQG,MF,Sassuolo,28,1992,33.0,16.0,1469.0,0.0,1.0,0.0,0.0,4.0,1.0,0.0,0.06,0.06,0.0,0.06,0.7,0.7,0.04,0.04,16.3,5.0,0.0,31.3,0.31,0.0,0.0,0.04,-0.7,-0.7,811.0,913.0,88.8,11999.0,3497.0,453.0,479.0,94.6,279.0,316.0,88.3,40.0,62.0,64.5,12.0,64.0,7.0,0.0,56.0,883.0,28.0,24.0,3.0,4.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,9.0,27.0,1.65,26.0,0.0,1.0,0.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,0.0,35.0,22.0,17.0,15.0,3.0,12.0,35.0,34.3,23.0,26.0,7.0,19.0,22.0,27.0,0.0,1071.0,56.0,249.0,649.0,182.0,9.0,1071.0,15.0,17.0,88.2,575.0,10.0,15.0,1.0,763.0,13.0,7.0,0.0,24.0,20.0,0.0,0.0,0.0,0.0,66.0,29.0,21.0,58.0
-Brian Oddei,it ITA,"FW,MF",Sassuolo,17,2002,5.0,0.0,45.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,0.0,4.0,0.1,0.1,0.19,0.19,0.5,1.0,0.0,50.0,2.0,0.0,0.0,0.05,-0.1,-0.1,15.0,23.0,65.2,271.0,85.0,7.0,9.0,77.8,5.0,5.0,100.0,3.0,5.0,60.0,2.0,0.0,3.0,3.0,1.0,23.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,12.0,3.0,0.0,2.0,0.0,1.0,4.0,8.0,3.0,0.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,3.0,66.7,1.0,1.0,0.0,1.0,0.0,1.0,0.0,39.0,1.0,6.0,12.0,21.0,6.0,39.0,3.0,4.0,75.0,20.0,3.0,1.0,2.0,27.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Stefano Okaka,it ITA,FW,Udinese,30,1989,22.0,17.0,1489.0,4.0,1.0,0.0,0.0,2.0,0.0,0.24,0.06,0.3,0.24,0.3,3.8,3.8,0.23,0.23,16.5,9.0,0.0,37.5,0.54,0.17,0.44,0.16,0.2,0.2,239.0,307.0,77.9,3008.0,422.0,147.0,184.0,79.9,66.0,78.0,84.6,3.0,5.0,60.0,9.0,8.0,6.0,0.0,22.0,267.0,38.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,8.0,22.0,1.33,12.0,0.0,3.0,5.0,2.0,3.0,0.18,2.0,0.0,0.0,1.0,0.0,0.0,10.0,7.0,2.0,5.0,3.0,2.0,10.0,20.0,8.0,7.0,1.0,6.0,2.0,19.0,0.0,481.0,24.0,52.0,246.0,190.0,62.0,481.0,17.0,27.0,63.0,268.0,15.0,10.0,5.0,346.0,51.0,23.0,0.0,38.0,35.0,13.0,0.0,0.0,0.0,36.0,44.0,49.0,47.3
-Christian Oliva,uy URU,MF,Cagliari,24,1996,10.0,3.0,388.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.23,0.23,0.0,0.23,0.0,0.0,0.0,0.0,4.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,153.0,189.0,81.0,2358.0,846.0,76.0,91.0,83.5,63.0,69.0,91.3,9.0,19.0,47.4,2.0,13.0,2.0,0.0,18.0,177.0,12.0,12.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,0.93,4.0,0.0,0.0,0.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,6.0,3.0,1.0,6.0,17.0,35.3,11.0,11.0,1.0,10.0,8.0,7.0,0.0,228.0,11.0,53.0,151.0,26.0,1.0,228.0,2.0,2.0,100.0,116.0,8.0,6.0,0.0,132.0,0.0,5.0,0.0,7.0,5.0,0.0,0.0,0.0,0.0,20.0,5.0,4.0,55.6
-Maximiliano Olivera,uy URU,DF,Fiorentina,28,1992,2.0,1.0,91.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,29.0,89.7,604.0,218.0,5.0,5.0,100.0,14.0,16.0,87.5,7.0,7.0,100.0,0.0,4.0,0.0,0.0,1.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,1.0,100.0,0.0,3.0,1.0,2.0,0.0,8.0,0.0,44.0,6.0,14.0,28.0,2.0,0.0,44.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,24.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,33.3
-Jérôme Onguéné,cm CMR,DF,Genoa,22,1997,4.0,1.0,181.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,83.0,101.0,82.2,1386.0,552.0,44.0,50.0,88.0,35.0,43.0,81.4,4.0,7.0,57.1,0.0,1.0,0.0,0.0,6.0,94.0,7.0,3.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,7.0,28.6,5.0,2.0,0.0,2.0,2.0,8.0,0.0,121.0,14.0,70.0,48.0,4.0,0.0,121.0,0.0,0.0,0.0,68.0,0.0,1.0,0.0,71.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,14.0,2.0,6.0,25.0
-Riccardo Orsolini,it ITA,"FW,MF",Bologna,23,1997,34.0,21.0,1755.0,7.0,3.0,3.0,3.0,0.0,0.0,0.36,0.15,0.51,0.21,0.36,9.3,7.1,0.48,0.36,19.5,19.0,11.0,35.8,0.97,0.08,0.21,0.13,-2.3,-3.1,458.0,724.0,63.3,7497.0,2458.0,247.0,313.0,78.9,139.0,218.0,63.8,49.0,115.0,42.6,30.0,34.0,19.0,5.0,45.0,639.0,83.0,18.0,3.0,7.0,100.0,58.0,45.0,5.0,0.0,7.0,2.0,33.0,74.0,3.8,32.0,18.0,9.0,7.0,8.0,8.0,0.41,4.0,1.0,0.0,2.0,1.0,0.0,37.0,18.0,13.0,12.0,12.0,16.0,39.0,41.0,23.0,22.0,3.0,19.0,10.0,22.0,0.0,981.0,32.0,168.0,377.0,443.0,73.0,978.0,36.0,64.0,56.3,540.0,49.0,28.0,17.0,658.0,49.0,17.0,0.0,21.0,44.0,7.0,0.0,1.0,0.0,83.0,25.0,25.0,50.0
-Victor Osimhen,ng NGA,FW,Napoli,21,1998,24.0,16.0,1573.0,10.0,3.0,0.0,0.0,4.0,0.0,0.57,0.17,0.74,0.57,0.74,10.6,10.6,0.61,0.61,17.5,24.0,0.0,36.4,1.37,0.15,0.42,0.16,-0.6,-0.6,171.0,249.0,68.7,2223.0,267.0,105.0,135.0,77.8,43.0,71.0,60.6,8.0,16.0,50.0,25.0,5.0,4.0,1.0,9.0,237.0,12.0,0.0,0.0,1.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,54.0,3.09,37.0,0.0,7.0,4.0,5.0,5.0,0.29,3.0,0.0,0.0,1.0,1.0,0.0,22.0,15.0,2.0,6.0,14.0,3.0,15.0,20.0,12.0,6.0,0.0,6.0,7.0,10.0,0.0,452.0,11.0,20.0,167.0,276.0,106.0,452.0,12.0,27.0,44.4,248.0,41.0,30.0,27.0,334.0,45.0,17.0,0.0,34.0,36.0,20.0,1.0,0.0,0.0,37.0,45.0,63.0,41.7
-Yordan Osorio,ve VEN,DF,Parma,26,1994,23.0,21.0,1809.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.04,0.04,20.1,1.0,0.0,14.3,0.05,0.0,0.0,0.11,-0.7,-0.7,1017.0,1154.0,88.1,21429.0,6455.0,284.0,306.0,92.8,576.0,615.0,93.7,151.0,210.0,71.9,3.0,39.0,2.0,1.0,39.0,1086.0,63.0,39.0,0.0,13.0,2.0,0.0,0.0,0.0,0.0,14.0,5.0,4.0,10.0,0.5,9.0,0.0,0.0,0.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,22.0,14.0,13.0,9.0,0.0,9.0,24.0,37.5,15.0,30.0,18.0,12.0,53.0,77.0,1.0,1379.0,172.0,760.0,596.0,42.0,13.0,1379.0,17.0,22.0,77.3,832.0,11.0,12.0,0.0,876.0,21.0,12.0,0.0,16.0,17.0,1.0,0.0,1.0,0.0,140.0,45.0,25.0,64.3
-David Ospina,co COL,GK,Napoli,31,1988,16.0,16.0,1440.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,453.0,545.0,83.1,11051.0,7738.0,127.0,128.0,99.2,188.0,192.0,97.9,137.0,223.0,61.4,2.0,6.0,0.0,0.0,0.0,452.0,93.0,36.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.31,4.0,1.0,0.0,0.0,0.0,1.0,0.06,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,567.0,478.0,564.0,3.0,0.0,0.0,567.0,0.0,0.0,0.0,360.0,0.0,0.0,0.0,326.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,1.0,0.0,26.0,7.0,1.0,87.5
-Adam Ounas,dz ALG,"FW,MF",Crotone,23,1996,15.0,15.0,1199.0,4.0,4.0,0.0,0.0,1.0,0.0,0.3,0.3,0.6,0.3,0.6,2.3,2.3,0.17,0.17,13.3,10.0,0.0,40.0,0.75,0.16,0.4,0.09,1.7,1.7,384.0,497.0,77.3,7151.0,1787.0,176.0,202.0,87.1,157.0,192.0,81.8,49.0,79.0,62.0,21.0,41.0,28.0,4.0,69.0,460.0,35.0,10.0,4.0,7.0,41.0,20.0,9.0,6.0,0.0,1.0,2.0,14.0,46.0,3.46,29.0,4.0,8.0,1.0,4.0,6.0,0.45,3.0,1.0,2.0,0.0,0.0,0.0,9.0,4.0,4.0,4.0,1.0,0.0,7.0,0.0,7.0,12.0,1.0,11.0,3.0,4.0,0.0,649.0,4.0,70.0,341.0,261.0,45.0,649.0,57.0,75.0,76.0,407.0,56.0,39.0,22.0,487.0,37.0,23.0,0.0,11.0,31.0,9.0,0.0,0.0,0.0,62.0,9.0,14.0,39.1
-Adam Ounas,dz ALG,"MF,FW",Cagliari,23,1996,7.0,3.0,308.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.25,0.25,3.4,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.9,-0.9,83.0,122.0,68.0,1406.0,391.0,43.0,56.0,76.8,25.0,38.0,65.8,10.0,15.0,66.7,7.0,8.0,8.0,2.0,15.0,117.0,4.0,2.0,0.0,2.0,10.0,2.0,0.0,0.0,0.0,0.0,1.0,5.0,15.0,4.4,13.0,1.0,1.0,0.0,0.0,3.0,0.88,3.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,0.0,11.0,0.0,11.0,5.0,0.0,5.0,3.0,0.0,0.0,174.0,0.0,27.0,72.0,83.0,11.0,174.0,19.0,30.0,63.3,110.0,10.0,8.0,4.0,128.0,11.0,10.0,0.0,3.0,9.0,1.0,0.0,0.0,0.0,17.0,3.0,4.0,42.9
-Thomas Ouwejan,nl NED,DF,Udinese,23,1996,15.0,3.0,413.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.44,0.44,0.0,0.44,0.2,0.2,0.04,0.04,4.6,2.0,0.0,33.3,0.44,0.0,0.0,0.03,-0.2,-0.2,151.0,246.0,61.4,2493.0,861.0,74.0,88.0,84.1,60.0,88.0,68.2,12.0,44.0,27.3,10.0,17.0,3.0,2.0,15.0,196.0,47.0,9.0,0.0,1.0,49.0,11.0,2.0,9.0,0.0,27.0,3.0,8.0,17.0,3.7,10.0,4.0,0.0,1.0,1.0,2.0,0.44,0.0,2.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,3.0,1.0,2.0,9.0,22.2,7.0,4.0,0.0,4.0,5.0,6.0,0.0,286.0,8.0,51.0,112.0,125.0,11.0,286.0,3.0,7.0,42.9,157.0,13.0,11.0,3.0,178.0,8.0,2.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,7.0,22.2
-Daniele Padelli,it ITA,GK,Inter,34,1985,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,13.0,100.0,219.0,109.0,6.0,6.0,100.0,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,15.0,15.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Mattia Pagliuca,it ITA,MF,Bologna,18,2002,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,33.3,12.0,0.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,6.92,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,5.0,0.0,1.0,1.0,3.0,1.0,5.0,0.0,1.0,0.0,5.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Rodrigo Palacio,ar ARG,FW,Bologna,38,1982,36.0,28.0,2502.0,5.0,5.0,0.0,0.0,5.0,0.0,0.18,0.18,0.36,0.18,0.36,9.3,9.3,0.34,0.34,27.8,23.0,0.0,42.6,0.83,0.09,0.22,0.17,-4.3,-4.3,721.0,972.0,74.2,10312.0,2127.0,434.0,494.0,87.9,204.0,286.0,71.3,40.0,67.0,59.7,39.0,45.0,30.0,6.0,81.0,893.0,74.0,4.0,3.0,6.0,72.0,1.0,0.0,0.0,0.0,8.0,5.0,45.0,98.0,3.53,74.0,2.0,7.0,9.0,6.0,14.0,0.5,11.0,0.0,0.0,2.0,1.0,0.0,13.0,6.0,2.0,3.0,8.0,1.0,15.0,6.7,14.0,18.0,0.0,18.0,7.0,29.0,0.0,1269.0,32.0,80.0,518.0,682.0,154.0,1269.0,35.0,69.0,50.7,818.0,95.0,53.0,46.0,1031.0,85.0,46.0,0.0,39.0,72.0,35.0,1.0,0.0,0.0,85.0,33.0,66.0,33.3
-Alberto Paleari,it ITA,GK,Genoa,27,1992,3.0,2.0,206.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,78.0,67.9,1225.0,868.0,17.0,17.0,100.0,22.0,22.0,100.0,12.0,37.0,32.4,0.0,2.0,0.0,0.0,0.0,53.0,25.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,84.0,71.0,82.0,2.0,0.0,0.0,84.0,0.0,0.0,0.0,48.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Antonio Palumbo,it ITA,MF,Sampdoria,23,1996,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.46,0.46,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,1.0,1.0,100.0,12.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Martin Palumbo,no NOR,MF,Udinese,18,2002,3.0,1.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,12.0,41.7,90.0,19.0,1.0,3.0,33.3,4.0,6.0,66.7,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,5.0,1.0,0.0,0.0,24.0,0.0,2.0,13.0,9.0,0.0,24.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,11.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Goran Pandev,mk MKD,"FW,MF",Genoa,37,1983,29.0,15.0,1404.0,7.0,3.0,1.0,1.0,5.0,0.0,0.45,0.19,0.64,0.38,0.58,4.2,3.4,0.27,0.22,15.6,10.0,0.0,52.6,0.64,0.32,0.6,0.18,2.8,2.6,337.0,446.0,75.6,4495.0,1077.0,217.0,258.0,84.1,74.0,103.0,71.8,20.0,33.0,60.6,14.0,24.0,11.0,0.0,44.0,424.0,21.0,0.0,0.0,1.0,10.0,1.0,1.0,0.0,0.0,2.0,1.0,19.0,34.0,2.18,29.0,1.0,1.0,1.0,2.0,8.0,0.51,7.0,0.0,1.0,0.0,0.0,0.0,9.0,5.0,1.0,6.0,2.0,4.0,10.0,40.0,6.0,6.0,0.0,6.0,2.0,7.0,1.0,598.0,8.0,54.0,303.0,251.0,54.0,597.0,15.0,30.0,50.0,388.0,23.0,16.0,6.0,458.0,52.0,24.0,0.0,12.0,36.0,7.0,0.0,0.0,0.0,78.0,16.0,27.0,37.2
-Ivor Pandur,hr CRO,GK,Hellas Verona,20,2000,4.0,4.0,332.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,102.0,55.9,1668.0,1334.0,12.0,13.0,92.3,23.0,23.0,100.0,20.0,63.0,31.7,0.0,1.0,0.0,0.0,0.0,71.0,30.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,109.0,88.0,108.0,1.0,0.0,0.0,109.0,0.0,0.0,0.0,58.0,0.0,0.0,0.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,100.0
-Vittorio Parigini,it ITA,"MF,DF",Genoa,24,1996,4.0,0.0,56.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.6,1.0,0.0,100.0,1.61,0.0,0.0,0.02,0.0,0.0,14.0,27.0,51.9,237.0,33.0,6.0,7.0,85.7,8.0,14.0,57.1,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,21.0,6.0,0.0,0.0,0.0,9.0,2.0,1.0,1.0,0.0,4.0,0.0,3.0,1.0,1.61,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,1.0,4.0,9.0,22.0,0.0,35.0,1.0,2.0,50.0,18.0,5.0,1.0,0.0,20.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,2.0,2.0,2.0,50.0
-Marco Parolo,it ITA,"DF,MF",Lazio,35,1985,18.0,7.0,653.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.28,0.28,0.0,0.28,0.5,0.5,0.07,0.07,7.3,1.0,0.0,16.7,0.14,0.0,0.0,0.09,-0.5,-0.5,299.0,363.0,82.4,5721.0,2011.0,123.0,145.0,84.8,135.0,151.0,89.4,36.0,54.0,66.7,4.0,17.0,5.0,2.0,31.0,347.0,14.0,8.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,6.0,2.0,5.0,11.0,1.52,11.0,0.0,0.0,0.0,0.0,2.0,0.28,2.0,0.0,0.0,0.0,0.0,0.0,21.0,8.0,8.0,11.0,2.0,8.0,20.0,40.0,12.0,20.0,6.0,14.0,14.0,31.0,0.0,470.0,48.0,190.0,227.0,56.0,8.0,470.0,0.0,1.0,0.0,240.0,8.0,8.0,0.0,271.0,5.0,1.0,0.0,21.0,1.0,1.0,0.0,1.0,0.0,46.0,21.0,17.0,55.3
-Mario Pašalić,hr CRO,MF,Atalanta,25,1995,25.0,10.0,1122.0,6.0,2.0,0.0,0.0,2.0,0.0,0.48,0.16,0.64,0.48,0.64,4.3,4.3,0.35,0.35,12.5,12.0,0.0,60.0,0.96,0.3,0.5,0.22,1.7,1.7,576.0,674.0,85.5,9756.0,2378.0,283.0,319.0,88.7,227.0,257.0,88.3,49.0,62.0,79.0,17.0,66.0,26.0,1.0,86.0,659.0,14.0,10.0,1.0,10.0,6.0,0.0,0.0,0.0,0.0,4.0,1.0,7.0,50.0,4.01,40.0,0.0,3.0,3.0,1.0,6.0,0.48,5.0,0.0,0.0,1.0,0.0,0.0,26.0,15.0,5.0,17.0,4.0,12.0,19.0,63.2,7.0,12.0,1.0,11.0,8.0,6.0,0.0,794.0,10.0,89.0,445.0,273.0,44.0,794.0,11.0,28.0,39.3,511.0,32.0,21.0,12.0,608.0,25.0,18.0,0.0,19.0,10.0,1.0,0.0,0.0,0.0,85.0,16.0,16.0,50.0
-Christian Pastina,it ITA,DF,Benevento,19,2001,3.0,0.0,121.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.74,0.74,0.0,0.74,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,56.0,67.0,83.6,1105.0,287.0,25.0,27.0,92.6,20.0,24.0,83.3,10.0,14.0,71.4,1.0,3.0,1.0,1.0,4.0,62.0,5.0,3.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,1.49,2.0,0.0,0.0,0.0,0.0,1.0,0.74,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,8.0,0.0,80.0,10.0,25.0,50.0,5.0,0.0,80.0,0.0,0.0,0.0,36.0,3.0,0.0,0.0,56.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Javier Pastore,ar ARG,"MF,FW",Roma,31,1989,5.0,0.0,82.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,60.0,88.3,1052.0,442.0,16.0,20.0,80.0,29.0,30.0,96.7,7.0,8.0,87.5,4.0,11.0,6.0,0.0,21.0,60.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.59,6.0,0.0,0.0,0.0,0.0,2.0,2.2,2.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,69.0,0.0,6.0,44.0,19.0,0.0,69.0,2.0,2.0,100.0,40.0,1.0,1.0,0.0,53.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Patric,es ESP,DF,Lazio,27,1993,25.0,18.0,1595.0,0.0,1.0,0.0,0.0,8.0,0.0,0.0,0.06,0.06,0.0,0.06,0.5,0.5,0.03,0.03,17.7,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,1054.0,1229.0,85.8,21163.0,5935.0,350.0,383.0,91.4,545.0,598.0,91.1,152.0,226.0,67.3,11.0,102.0,17.0,6.0,77.0,1167.0,60.0,32.0,1.0,8.0,30.0,0.0,0.0,0.0,0.0,26.0,2.0,9.0,32.0,1.8,30.0,0.0,0.0,1.0,0.0,4.0,0.23,4.0,0.0,0.0,0.0,0.0,0.0,30.0,16.0,15.0,11.0,4.0,13.0,24.0,54.2,11.0,13.0,3.0,10.0,18.0,51.0,1.0,1373.0,104.0,498.0,728.0,154.0,8.0,1373.0,1.0,3.0,33.3,872.0,15.0,11.0,1.0,977.0,12.0,4.0,0.0,21.0,5.0,1.0,0.0,1.0,0.0,90.0,14.0,15.0,48.3
-Leonardo Pavoletti,it ITA,FW,Cagliari,31,1988,33.0,17.0,1584.0,4.0,3.0,0.0,0.0,8.0,0.0,0.23,0.17,0.4,0.23,0.4,7.2,7.2,0.41,0.41,17.6,11.0,0.0,25.0,0.62,0.09,0.36,0.17,-3.2,-3.2,282.0,409.0,68.9,3571.0,476.0,177.0,246.0,72.0,63.0,84.0,75.0,13.0,21.0,61.9,12.0,19.0,6.0,0.0,21.0,394.0,14.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,11.0,30.0,1.7,17.0,0.0,0.0,9.0,4.0,4.0,0.23,1.0,0.0,0.0,2.0,1.0,0.0,7.0,3.0,2.0,5.0,0.0,1.0,20.0,5.0,19.0,4.0,2.0,2.0,4.0,32.0,0.0,587.0,34.0,79.0,299.0,213.0,78.0,587.0,3.0,6.0,50.0,244.0,4.0,4.0,3.0,437.0,41.0,14.0,0.0,44.0,29.0,9.0,1.0,0.0,0.0,38.0,113.0,67.0,62.8
-Nehuén Paz,ar ARG,DF,Bologna,27,1993,6.0,3.0,363.0,1.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.25,0.25,0.25,0.4,0.4,0.09,0.09,4.0,1.0,0.0,50.0,0.25,0.5,1.0,0.18,0.6,0.6,196.0,236.0,83.1,3733.0,1341.0,72.0,84.0,85.7,103.0,117.0,88.0,19.0,27.0,70.4,1.0,10.0,0.0,0.0,17.0,230.0,6.0,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,5.0,1.24,5.0,0.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,4.0,5.0,0.0,6.0,7.0,85.7,1.0,4.0,2.0,2.0,11.0,16.0,0.0,283.0,26.0,138.0,133.0,13.0,2.0,283.0,0.0,0.0,0.0,130.0,0.0,2.0,0.0,164.0,2.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,21.0,21.0,3.0,87.5
-Pedro,es ESP,"MF,FW",Roma,33,1987,27.0,20.0,1591.0,5.0,2.0,0.0,0.0,5.0,1.0,0.28,0.11,0.4,0.28,0.4,4.2,4.2,0.25,0.25,17.7,15.0,0.0,34.9,0.85,0.12,0.33,0.11,0.8,0.8,479.0,616.0,77.8,7784.0,1905.0,244.0,295.0,82.7,178.0,210.0,84.8,39.0,64.0,60.9,29.0,43.0,22.0,2.0,65.0,594.0,18.0,10.0,11.0,5.0,35.0,6.0,3.0,3.0,0.0,1.0,4.0,13.0,71.0,4.25,50.0,5.0,6.0,5.0,4.0,9.0,0.54,4.0,1.0,2.0,0.0,2.0,0.0,22.0,14.0,6.0,11.0,5.0,7.0,35.0,20.0,28.0,10.0,0.0,10.0,9.0,2.0,1.0,774.0,8.0,73.0,382.0,331.0,45.0,774.0,26.0,40.0,65.0,508.0,50.0,45.0,7.0,622.0,45.0,11.0,1.0,25.0,34.0,7.0,2.0,0.0,0.0,67.0,3.0,12.0,20.0
-João Pedro,it ITA,"FW,MF",Cagliari,28,1992,37.0,37.0,3253.0,16.0,3.0,4.0,5.0,4.0,0.0,0.44,0.08,0.53,0.33,0.42,12.5,8.7,0.35,0.24,36.1,29.0,3.0,40.8,0.8,0.17,0.41,0.12,3.5,3.3,683.0,945.0,72.3,11025.0,2566.0,364.0,445.0,81.8,207.0,275.0,75.3,76.0,111.0,68.5,38.0,48.0,29.0,2.0,94.0,916.0,24.0,8.0,1.0,11.0,25.0,1.0,0.0,0.0,0.0,1.0,5.0,37.0,94.0,2.6,68.0,0.0,4.0,8.0,13.0,9.0,0.25,5.0,0.0,0.0,1.0,3.0,0.0,13.0,6.0,2.0,6.0,5.0,2.0,27.0,7.4,25.0,32.0,6.0,26.0,13.0,28.0,0.0,1320.0,43.0,142.0,601.0,587.0,143.0,1315.0,39.0,80.0,48.8,738.0,45.0,36.0,9.0,1004.0,74.0,32.0,0.0,46.0,98.0,11.0,3.0,0.0,0.0,97.0,65.0,87.0,42.8
-Gianluca Pegolo,it ITA,GK,Sassuolo,39,1981,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,22.0,95.5,334.0,227.0,10.0,10.0,100.0,10.0,10.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,25.0,24.0,25.0,0.0,0.0,0.0,25.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Graziano Pellè,it ITA,FW,Parma,35,1985,13.0,6.0,614.0,1.0,2.0,0.0,0.0,1.0,0.0,0.15,0.29,0.44,0.15,0.44,1.6,1.6,0.23,0.23,6.8,5.0,0.0,35.7,0.73,0.07,0.2,0.11,-0.6,-0.6,150.0,196.0,76.5,1922.0,308.0,95.0,114.0,83.3,29.0,40.0,72.5,10.0,12.0,83.3,12.0,6.0,4.0,0.0,9.0,179.0,17.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,18.0,2.64,13.0,0.0,0.0,3.0,2.0,3.0,0.44,2.0,0.0,0.0,0.0,1.0,0.0,2.0,2.0,0.0,1.0,1.0,1.0,8.0,12.5,7.0,3.0,0.0,3.0,2.0,8.0,0.0,259.0,8.0,26.0,123.0,111.0,37.0,259.0,1.0,3.0,33.3,123.0,3.0,4.0,2.0,212.0,15.0,9.0,0.0,19.0,13.0,4.0,1.0,0.0,0.0,13.0,45.0,26.0,63.4
-Lorenzo Pellegrini,it ITA,MF,Roma,24,1996,34.0,30.0,2598.0,7.0,6.0,1.0,1.0,10.0,0.0,0.24,0.21,0.45,0.21,0.42,5.6,4.8,0.2,0.17,28.9,26.0,10.0,37.7,0.9,0.09,0.23,0.07,1.4,1.2,1089.0,1429.0,76.2,19495.0,5567.0,520.0,595.0,87.4,403.0,492.0,81.9,144.0,265.0,54.3,61.0,121.0,41.0,8.0,147.0,1203.0,219.0,58.0,10.0,6.0,171.0,132.0,52.0,62.0,0.0,7.0,7.0,30.0,127.0,4.54,65.0,37.0,4.0,15.0,3.0,13.0,0.46,6.0,5.0,0.0,2.0,0.0,0.0,40.0,24.0,13.0,20.0,7.0,21.0,60.0,35.0,39.0,37.0,2.0,35.0,42.0,23.0,1.0,1772.0,33.0,211.0,930.0,654.0,61.0,1771.0,40.0,67.0,59.7,963.0,87.0,62.0,12.0,1177.0,65.0,21.0,0.0,43.0,51.0,6.0,0.0,1.0,0.0,139.0,21.0,27.0,43.8
-Luca Pellegrini,it ITA,"DF,MF",Genoa,21,1999,11.0,7.0,639.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.1,0.1,0.02,0.02,7.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,218.0,313.0,69.6,3437.0,1207.0,112.0,126.0,88.9,83.0,114.0,72.8,13.0,44.0,29.5,8.0,5.0,7.0,4.0,13.0,258.0,53.0,5.0,1.0,6.0,29.0,0.0,0.0,0.0,0.0,48.0,2.0,9.0,12.0,1.73,9.0,0.0,3.0,0.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,6.0,2.0,1.0,4.0,10.0,40.0,6.0,11.0,2.0,9.0,8.0,13.0,1.0,411.0,19.0,126.0,167.0,122.0,11.0,411.0,18.0,30.0,60.0,250.0,23.0,16.0,6.0,267.0,22.0,16.0,0.0,10.0,16.0,0.0,0.0,0.0,1.0,50.0,4.0,13.0,23.5
-Federico Peluso,it ITA,DF,Sassuolo,36,1984,7.0,2.0,207.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,151.0,166.0,91.0,2479.0,931.0,65.0,68.0,95.6,72.0,78.0,92.3,10.0,13.0,76.9,0.0,7.0,1.0,0.0,7.0,149.0,14.0,10.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,2.0,2.0,0.0,3.0,12.0,0.0,182.0,23.0,94.0,84.0,4.0,0.0,182.0,0.0,0.0,0.0,117.0,2.0,4.0,0.0,136.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,10.0,2.0,2.0,50.0
-Andreas Pereira,br BRA,"FW,MF",Lazio,24,1996,26.0,3.0,543.0,1.0,2.0,0.0,0.0,7.0,1.0,0.17,0.33,0.5,0.17,0.5,0.7,0.6,0.11,0.1,6.0,5.0,0.0,35.7,0.83,0.07,0.2,0.04,0.3,0.4,187.0,286.0,65.4,3434.0,1071.0,83.0,100.0,83.0,72.0,102.0,70.6,26.0,54.0,48.1,13.0,33.0,6.0,0.0,32.0,243.0,40.0,13.0,1.0,7.0,49.0,21.0,9.0,11.0,0.0,3.0,3.0,13.0,18.0,2.97,10.0,8.0,0.0,0.0,0.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,3.0,1.0,2.0,12.0,16.7,10.0,6.0,0.0,6.0,1.0,4.0,0.0,358.0,3.0,41.0,164.0,160.0,16.0,358.0,7.0,17.0,41.2,206.0,17.0,9.0,5.0,239.0,12.0,11.0,1.0,12.0,8.0,3.0,0.0,1.0,0.0,31.0,2.0,22.0,8.3
-Pedro Pereira,pt POR,DF,Crotone,22,1998,35.0,29.0,2549.0,0.0,4.0,0.0,0.0,6.0,0.0,0.0,0.14,0.14,0.0,0.14,0.7,0.7,0.02,0.02,28.3,5.0,2.0,35.7,0.18,0.0,0.0,0.05,-0.7,-0.7,673.0,910.0,74.0,10701.0,3382.0,349.0,407.0,85.7,248.0,329.0,75.4,53.0,94.0,56.4,21.0,27.0,23.0,12.0,44.0,743.0,164.0,1.0,1.0,4.0,71.0,0.0,0.0,0.0,0.0,163.0,3.0,41.0,36.0,1.27,31.0,1.0,1.0,0.0,2.0,6.0,0.21,6.0,0.0,0.0,0.0,0.0,0.0,50.0,32.0,29.0,17.0,4.0,21.0,40.0,52.5,19.0,33.0,11.0,22.0,19.0,61.0,0.0,1200.0,90.0,311.0,494.0,408.0,36.0,1200.0,13.0,34.0,38.2,554.0,32.0,21.0,6.0,643.0,38.0,32.0,0.0,33.0,18.0,5.0,0.0,1.0,0.0,127.0,27.0,40.0,40.3
-Gastón Pereiro,uy URU,"MF,DF",Cagliari,25,1995,15.0,2.0,272.0,2.0,2.0,0.0,0.0,0.0,0.0,0.66,0.66,1.32,0.66,1.32,2.3,2.3,0.76,0.76,3.0,5.0,0.0,35.7,1.65,0.14,0.4,0.16,-0.3,-0.3,102.0,137.0,74.5,1713.0,438.0,47.0,56.0,83.9,38.0,52.0,73.1,11.0,18.0,61.1,8.0,11.0,8.0,1.0,25.0,128.0,9.0,2.0,0.0,1.0,10.0,3.0,3.0,0.0,0.0,4.0,0.0,2.0,18.0,5.96,12.0,1.0,2.0,3.0,0.0,3.0,0.99,2.0,0.0,0.0,1.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,1.0,2.0,50.0,1.0,2.0,0.0,2.0,1.0,2.0,1.0,176.0,2.0,19.0,70.0,91.0,17.0,176.0,3.0,7.0,42.9,89.0,14.0,11.0,3.0,123.0,5.0,6.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,13.0,10.0,6.0,62.5
-Bruno Peres,br BRA,DF,Roma,30,1990,30.0,14.0,1427.0,1.0,2.0,0.0,0.0,6.0,0.0,0.06,0.13,0.19,0.06,0.19,0.9,0.9,0.06,0.06,15.9,6.0,0.0,50.0,0.38,0.08,0.17,0.08,0.1,0.1,629.0,767.0,82.0,10544.0,2606.0,321.0,354.0,90.7,231.0,276.0,83.7,63.0,98.0,64.3,28.0,27.0,16.0,8.0,36.0,647.0,116.0,10.0,0.0,7.0,68.0,9.0,1.0,8.0,0.0,97.0,4.0,13.0,42.0,2.65,35.0,3.0,1.0,2.0,1.0,4.0,0.25,4.0,0.0,0.0,0.0,0.0,0.0,21.0,11.0,11.0,7.0,3.0,13.0,24.0,54.2,11.0,18.0,4.0,14.0,27.0,11.0,0.0,910.0,32.0,224.0,364.0,329.0,34.0,910.0,15.0,26.0,57.7,532.0,54.0,34.0,12.0,562.0,24.0,12.0,0.0,23.0,16.0,1.0,0.0,0.0,0.0,102.0,7.0,12.0,36.8
-Roberto Pereyra,ar ARG,"MF,FW",Udinese,29,1991,34.0,34.0,2925.0,5.0,7.0,1.0,1.0,8.0,0.0,0.15,0.22,0.37,0.12,0.34,4.0,3.2,0.12,0.1,32.5,6.0,0.0,22.2,0.18,0.15,0.67,0.12,1.0,0.8,1070.0,1262.0,84.8,15452.0,3828.0,616.0,673.0,91.5,334.0,381.0,87.7,62.0,88.0,70.5,45.0,94.0,36.0,3.0,134.0,1197.0,58.0,17.0,0.0,6.0,37.0,18.0,5.0,3.0,0.0,16.0,7.0,28.0,86.0,2.65,72.0,3.0,3.0,2.0,6.0,10.0,0.31,8.0,0.0,0.0,0.0,2.0,0.0,18.0,11.0,7.0,8.0,3.0,7.0,23.0,30.4,16.0,24.0,5.0,19.0,27.0,24.0,0.0,1591.0,44.0,220.0,729.0,666.0,105.0,1590.0,36.0,86.0,41.9,1058.0,106.0,71.0,27.0,1171.0,80.0,50.0,0.0,38.0,59.0,7.0,1.0,0.0,0.0,156.0,5.0,10.0,33.3
-Carles Pérez,es ESP,"MF,FW",Roma,22,1998,21.0,6.0,773.0,2.0,1.0,0.0,0.0,0.0,0.0,0.23,0.12,0.35,0.23,0.35,2.7,2.7,0.31,0.31,8.6,8.0,0.0,34.8,0.93,0.09,0.25,0.13,-0.7,-0.7,236.0,306.0,77.1,3598.0,570.0,144.0,163.0,88.3,71.0,92.0,77.2,16.0,29.0,55.2,15.0,10.0,3.0,0.0,16.0,281.0,20.0,3.0,2.0,2.0,25.0,15.0,3.0,12.0,0.0,0.0,5.0,9.0,33.0,3.84,13.0,7.0,6.0,4.0,3.0,5.0,0.58,0.0,1.0,2.0,1.0,1.0,0.0,9.0,4.0,3.0,6.0,0.0,6.0,31.0,19.4,25.0,9.0,0.0,9.0,6.0,1.0,0.0,422.0,5.0,35.0,182.0,214.0,34.0,422.0,17.0,32.0,53.1,239.0,32.0,26.0,12.0,307.0,26.0,14.0,0.0,12.0,7.0,0.0,1.0,0.0,0.0,31.0,3.0,11.0,21.4
-Mattia Perin,it ITA,GK,Genoa,27,1992,32.0,32.0,2879.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,752.0,1161.0,64.8,21463.0,15399.0,159.0,160.0,99.4,288.0,293.0,98.3,295.0,693.0,42.6,1.0,20.0,0.0,0.0,1.0,763.0,394.0,119.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,0.09,3.0,0.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.0,1223.0,1061.0,1214.0,10.0,0.0,0.0,1223.0,0.0,0.0,0.0,675.0,0.0,0.0,0.0,490.0,1.0,1.0,0.0,2.0,4.0,0.0,0.0,1.0,0.0,38.0,9.0,1.0,90.0
-Ivan Perišić,hr CRO,"DF,FW",Inter,31,1989,32.0,20.0,1795.0,4.0,3.0,0.0,0.0,3.0,0.0,0.2,0.15,0.35,0.2,0.35,5.2,5.2,0.26,0.26,19.9,10.0,0.0,28.6,0.5,0.11,0.4,0.15,-1.2,-1.2,576.0,815.0,70.7,9597.0,2680.0,299.0,349.0,85.7,209.0,300.0,69.7,55.0,105.0,52.4,28.0,22.0,29.0,16.0,51.0,688.0,127.0,4.0,2.0,7.0,90.0,6.0,3.0,0.0,0.0,116.0,0.0,27.0,52.0,2.6,43.0,1.0,3.0,3.0,1.0,10.0,0.5,6.0,1.0,0.0,2.0,0.0,1.0,22.0,13.0,11.0,6.0,5.0,12.0,33.0,36.4,21.0,33.0,4.0,29.0,19.0,36.0,1.0,1013.0,55.0,221.0,366.0,440.0,91.0,1013.0,7.0,18.0,38.9,457.0,69.0,24.0,21.0,586.0,21.0,6.0,0.0,13.0,2.0,8.0,0.0,1.0,0.0,85.0,32.0,24.0,57.1
-Matteo Pessina,it ITA,MF,Atalanta,23,1997,28.0,21.0,1645.0,2.0,2.0,0.0,0.0,2.0,0.0,0.11,0.11,0.22,0.11,0.22,2.4,2.4,0.13,0.13,18.3,10.0,0.0,45.5,0.55,0.09,0.2,0.11,-0.4,-0.4,788.0,951.0,82.9,12328.0,3396.0,405.0,460.0,88.0,320.0,366.0,87.4,40.0,61.0,65.6,27.0,83.0,26.0,1.0,118.0,932.0,16.0,6.0,1.0,8.0,17.0,0.0,0.0,0.0,0.0,4.0,3.0,24.0,53.0,2.9,49.0,0.0,1.0,3.0,0.0,9.0,0.49,8.0,0.0,0.0,1.0,0.0,0.0,14.0,7.0,4.0,6.0,4.0,7.0,24.0,29.2,17.0,17.0,2.0,15.0,17.0,7.0,1.0,1132.0,16.0,137.0,584.0,420.0,63.0,1132.0,15.0,35.0,42.9,751.0,27.0,18.0,8.0,844.0,35.0,19.0,0.0,24.0,23.0,1.0,0.0,0.0,0.0,138.0,20.0,24.0,45.5
-Andrea Petagna,it ITA,FW,Napoli,25,1995,26.0,9.0,964.0,4.0,3.0,0.0,0.0,0.0,0.0,0.37,0.28,0.65,0.37,0.65,4.1,4.1,0.38,0.38,10.7,10.0,0.0,41.7,0.93,0.17,0.4,0.17,-0.1,-0.1,186.0,232.0,80.2,2674.0,381.0,119.0,138.0,86.2,47.0,59.0,79.7,12.0,13.0,92.3,27.0,7.0,6.0,0.0,15.0,215.0,17.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,41.0,3.83,33.0,0.0,3.0,5.0,0.0,4.0,0.37,3.0,0.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,2.0,7.0,28.6,5.0,4.0,0.0,4.0,1.0,7.0,0.0,323.0,10.0,35.0,123.0,167.0,77.0,323.0,7.0,12.0,58.3,183.0,14.0,5.0,12.0,244.0,18.0,14.0,0.0,19.0,17.0,7.0,0.0,0.0,0.0,30.0,27.0,28.0,49.1
-Jacopo Petriccione,it ITA,MF,Crotone,25,1995,20.0,11.0,958.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.6,1.0,0.0,33.3,0.09,0.0,0.0,0.03,-0.1,-0.1,425.0,506.0,84.0,7784.0,2516.0,168.0,186.0,90.3,195.0,221.0,88.2,51.0,74.0,68.9,8.0,38.0,6.0,1.0,51.0,465.0,40.0,24.0,1.0,2.0,14.0,11.0,4.0,1.0,0.0,3.0,1.0,6.0,24.0,2.26,20.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,6.0,7.0,1.0,9.0,24.0,37.5,15.0,11.0,2.0,9.0,8.0,11.0,0.0,573.0,22.0,169.0,340.0,72.0,0.0,573.0,2.0,5.0,40.0,316.0,8.0,4.0,0.0,390.0,4.0,4.0,0.0,18.0,17.0,0.0,0.0,0.0,0.0,65.0,2.0,8.0,20.0
-Jens Petter Hauge,no NOR,FW,Milan,20,1999,18.0,3.0,532.0,2.0,0.0,0.0,0.0,0.0,0.0,0.34,0.0,0.34,0.34,0.34,0.9,0.9,0.15,0.15,5.9,3.0,0.0,42.9,0.51,0.29,0.67,0.13,1.1,1.1,155.0,196.0,79.1,2120.0,526.0,91.0,101.0,90.1,47.0,57.0,82.5,6.0,8.0,75.0,11.0,9.0,9.0,0.0,25.0,192.0,4.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,7.0,21.0,3.55,17.0,0.0,3.0,1.0,0.0,3.0,0.51,1.0,0.0,2.0,0.0,0.0,0.0,7.0,4.0,3.0,3.0,1.0,6.0,10.0,60.0,4.0,4.0,0.0,4.0,1.0,3.0,0.0,259.0,2.0,23.0,96.0,144.0,24.0,259.0,9.0,18.0,50.0,144.0,10.0,7.0,5.0,188.0,15.0,11.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,22.0,5.0,10.0,33.3
-Germán Pezzella,ar ARG,DF,Fiorentina,29,1991,32.0,32.0,2743.0,1.0,0.0,0.0,0.0,5.0,0.0,0.03,0.0,0.03,0.03,0.03,1.3,1.3,0.04,0.04,30.5,2.0,0.0,12.5,0.07,0.06,0.5,0.08,-0.3,-0.3,1000.0,1181.0,84.7,20275.0,6772.0,248.0,291.0,85.2,645.0,699.0,92.3,98.0,163.0,60.1,3.0,50.0,1.0,0.0,46.0,1144.0,33.0,29.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,4.0,4.0,8.0,10.0,0.33,8.0,0.0,0.0,1.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,34.0,20.0,22.0,12.0,0.0,18.0,32.0,56.3,14.0,26.0,14.0,12.0,36.0,109.0,1.0,1443.0,153.0,738.0,663.0,49.0,30.0,1443.0,1.0,1.0,100.0,774.0,2.0,6.0,1.0,855.0,13.0,1.0,0.0,33.0,17.0,4.0,0.0,2.0,0.0,130.0,66.0,45.0,59.5
-Giuseppe Pezzella,it ITA,DF,Parma,22,1997,24.0,21.0,1828.0,1.0,4.0,0.0,0.0,7.0,0.0,0.05,0.2,0.25,0.05,0.25,0.2,0.2,0.01,0.01,20.3,2.0,0.0,28.6,0.1,0.14,0.5,0.03,0.8,0.8,766.0,997.0,76.8,13448.0,3870.0,352.0,403.0,87.3,309.0,383.0,80.7,85.0,150.0,56.7,19.0,57.0,24.0,13.0,69.0,849.0,140.0,14.0,0.0,4.0,92.0,5.0,3.0,1.0,0.0,121.0,8.0,26.0,29.0,1.43,25.0,1.0,1.0,0.0,1.0,7.0,0.34,6.0,0.0,0.0,0.0,1.0,0.0,34.0,19.0,23.0,9.0,2.0,22.0,41.0,53.7,19.0,22.0,9.0,13.0,12.0,52.0,3.0,1188.0,87.0,372.0,518.0,314.0,25.0,1188.0,35.0,49.0,71.4,650.0,58.0,45.0,8.0,721.0,18.0,24.0,0.0,24.0,25.0,0.0,0.0,0.0,0.0,121.0,20.0,10.0,66.7
-Cristiano Piccini,it ITA,DF,Atalanta,27,1992,1.0,0.0,59.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,14.0,18.0,77.8,193.0,74.0,7.0,8.0,87.5,3.0,3.0,100.0,2.0,4.0,50.0,0.0,1.0,0.0,0.0,2.0,12.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,25.0,0.0,4.0,14.0,7.0,1.0,25.0,1.0,3.0,33.3,9.0,1.0,0.0,0.0,14.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
-Roberto Piccoli,it ITA,FW,Spezia,19,2001,20.0,8.0,703.0,5.0,0.0,0.0,0.0,0.0,0.0,0.64,0.0,0.64,0.64,0.64,5.6,5.6,0.72,0.72,7.8,11.0,0.0,73.3,1.41,0.33,0.45,0.37,-0.6,-0.6,90.0,137.0,65.7,1055.0,118.0,66.0,87.0,75.9,14.0,27.0,51.9,2.0,4.0,50.0,3.0,4.0,2.0,0.0,6.0,114.0,21.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,8.0,1.02,4.0,0.0,2.0,1.0,1.0,1.0,0.13,0.0,0.0,0.0,0.0,1.0,0.0,7.0,3.0,0.0,4.0,3.0,2.0,4.0,50.0,2.0,4.0,0.0,4.0,2.0,5.0,0.0,244.0,6.0,13.0,106.0,127.0,34.0,244.0,5.0,8.0,62.5,123.0,8.0,5.0,2.0,167.0,43.0,12.0,0.0,16.0,13.0,3.0,1.0,0.0,0.0,8.0,17.0,43.0,28.3
-Andrea Pinamonti,it ITA,FW,Inter,21,1999,8.0,1.0,169.0,1.0,0.0,0.0,0.0,0.0,0.0,0.53,0.0,0.53,0.53,0.53,0.7,0.7,0.35,0.35,1.9,2.0,0.0,50.0,1.07,0.25,0.5,0.16,0.3,0.3,37.0,52.0,71.2,421.0,81.0,26.0,32.0,81.3,8.0,10.0,80.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,5.0,51.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,2.13,3.0,0.0,0.0,0.0,1.0,2.0,1.07,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,2.0,0.0,71.0,1.0,8.0,27.0,36.0,7.0,71.0,2.0,3.0,66.7,35.0,1.0,1.0,1.0,60.0,8.0,7.0,0.0,2.0,6.0,1.0,0.0,0.0,0.0,5.0,2.0,2.0,50.0
-Carlo Pinsoglio,it ITA,GK,Juventus,30,1990,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,11.0,90.9,179.0,128.0,5.0,5.0,100.0,4.0,4.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,10.0,12.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Fabio Pisacane,it ITA,DF,Cagliari,34,1986,5.0,2.0,228.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,82.0,97.0,84.5,1275.0,551.0,43.0,48.0,89.6,35.0,41.0,85.4,3.0,5.0,60.0,0.0,5.0,0.0,0.0,4.0,90.0,7.0,2.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,3.0,7.0,42.9,4.0,8.0,5.0,3.0,1.0,9.0,1.0,121.0,18.0,64.0,48.0,10.0,0.0,121.0,0.0,0.0,0.0,71.0,1.0,3.0,0.0,77.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,10.0,3.0,1.0,75.0
-Marko Pjaca,hr CRO,"FW,MF",Genoa,25,1995,35.0,15.0,1418.0,3.0,2.0,0.0,0.0,0.0,0.0,0.19,0.13,0.32,0.19,0.32,2.6,2.6,0.17,0.17,15.8,11.0,0.0,37.9,0.7,0.1,0.27,0.09,0.4,0.4,416.0,498.0,83.5,5448.0,959.0,251.0,287.0,87.5,111.0,125.0,88.8,17.0,22.0,77.3,14.0,26.0,13.0,1.0,50.0,485.0,10.0,2.0,1.0,3.0,4.0,0.0,0.0,0.0,0.0,3.0,3.0,16.0,38.0,2.41,31.0,0.0,4.0,0.0,2.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,0.0,13.0,6.0,6.0,3.0,4.0,4.0,16.0,25.0,12.0,7.0,2.0,5.0,7.0,12.0,0.0,672.0,11.0,89.0,337.0,262.0,43.0,672.0,23.0,46.0,50.0,440.0,38.0,26.0,15.0,539.0,45.0,30.0,0.0,19.0,24.0,2.0,0.0,0.0,0.0,65.0,15.0,47.0,24.2
-Tommaso Pobega,it ITA,MF,Spezia,21,1999,20.0,17.0,1229.0,6.0,0.0,0.0,0.0,6.0,0.0,0.44,0.0,0.44,0.44,0.44,3.2,3.2,0.23,0.23,13.7,10.0,0.0,45.5,0.73,0.27,0.6,0.15,2.8,2.8,342.0,449.0,76.2,5618.0,1121.0,181.0,209.0,86.6,126.0,168.0,75.0,27.0,45.0,60.0,7.0,33.0,4.0,1.0,38.0,448.0,1.0,1.0,0.0,4.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,23.0,1.68,15.0,0.0,2.0,2.0,3.0,5.0,0.37,1.0,0.0,1.0,0.0,3.0,0.0,24.0,13.0,7.0,13.0,4.0,11.0,31.0,35.5,20.0,10.0,2.0,8.0,9.0,22.0,0.0,587.0,27.0,115.0,315.0,166.0,28.0,587.0,4.0,8.0,50.0,305.0,12.0,10.0,3.0,391.0,18.0,5.0,0.0,28.0,17.0,0.0,3.0,1.0,0.0,61.0,17.0,20.0,45.9
-Andrea Poli,it ITA,MF,Bologna,30,1989,18.0,4.0,383.0,1.0,0.0,0.0,0.0,1.0,0.0,0.23,0.0,0.23,0.23,0.23,1.0,1.0,0.24,0.24,4.3,2.0,0.0,66.7,0.47,0.33,0.5,0.33,0.0,0.0,191.0,213.0,89.7,2874.0,912.0,101.0,108.0,93.5,80.0,84.0,95.2,4.0,8.0,50.0,6.0,29.0,2.0,1.0,25.0,206.0,5.0,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,15.0,3.53,13.0,0.0,0.0,0.0,0.0,1.0,0.24,1.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,4.0,2.0,3.0,6.0,12.0,50.0,6.0,7.0,1.0,6.0,7.0,7.0,0.0,275.0,16.0,73.0,146.0,56.0,7.0,275.0,5.0,6.0,83.3,145.0,4.0,2.0,0.0,169.0,9.0,3.0,0.0,5.0,7.0,0.0,0.0,0.0,1.0,27.0,0.0,7.0,0.0
-Matteo Politano,it ITA,"FW,MF",Napoli,26,1993,37.0,22.0,1908.0,9.0,4.0,0.0,0.0,3.0,0.0,0.42,0.19,0.61,0.42,0.61,5.2,5.2,0.25,0.25,21.2,19.0,1.0,30.2,0.9,0.14,0.47,0.08,3.8,3.8,659.0,871.0,75.7,10066.0,2388.0,378.0,423.0,89.4,198.0,260.0,76.2,57.0,111.0,51.4,34.0,28.0,27.0,7.0,78.0,774.0,96.0,14.0,2.0,15.0,90.0,55.0,26.0,10.0,0.0,22.0,1.0,28.0,95.0,4.48,57.0,14.0,14.0,4.0,6.0,13.0,0.61,7.0,0.0,5.0,1.0,0.0,0.0,24.0,16.0,13.0,9.0,2.0,11.0,47.0,23.4,36.0,14.0,1.0,13.0,14.0,18.0,0.0,1117.0,27.0,116.0,382.0,640.0,77.0,1117.0,37.0,60.0,61.7,726.0,94.0,62.0,29.0,823.0,46.0,23.0,0.0,15.0,47.0,0.0,0.0,0.0,0.0,68.0,4.0,18.0,18.2
-Manolo Portanova,it ITA,"MF,FW",Genoa,20,2000,3.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.7,1.0,0.0,100.0,1.36,0.0,0.0,0.01,0.0,0.0,18.0,24.0,75.0,287.0,123.0,10.0,10.0,100.0,5.0,7.0,71.4,2.0,2.0,100.0,0.0,3.0,1.0,0.0,3.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,5.45,1.0,0.0,2.0,0.0,1.0,1.0,1.36,1.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,3.0,1.0,2.0,1.0,2.0,0.0,37.0,4.0,13.0,20.0,4.0,0.0,37.0,2.0,3.0,66.7,28.0,0.0,1.0,0.0,27.0,1.0,4.0,0.0,3.0,6.0,0.0,0.0,0.0,0.0,5.0,0.0,4.0,0.0
-Manolo Portanova,it ITA,MF,Juventus,20,2000,2.0,1.0,70.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.78,0.78,0.8,2.0,1.0,40.0,2.57,0.0,0.0,0.12,-0.6,-0.6,18.0,20.0,90.0,252.0,36.0,11.0,12.0,91.7,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,2.0,4.0,1.0,3.0,0.0,1.0,0.0,36.0,1.0,10.0,14.0,12.0,2.0,36.0,0.0,0.0,0.0,18.0,1.0,1.0,0.0,27.0,2.0,2.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
-Ivan Provedel,it ITA,GK,Spezia,26,1994,29.0,29.0,2610.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1042.0,1404.0,74.2,29950.0,19305.0,138.0,140.0,98.6,469.0,482.0,97.3,430.0,774.0,55.6,0.0,17.0,0.0,0.0,0.0,1146.0,255.0,98.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,2.0,6.0,33.3,4.0,0.0,0.0,0.0,2.0,20.0,1.0,1491.0,1185.0,1482.0,9.0,0.0,0.0,1491.0,1.0,1.0,100.0,944.0,0.0,0.0,0.0,906.0,3.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,60.0,5.0,1.0,83.3
-Erick Pulgar,cl CHI,MF,Fiorentina,26,1994,31.0,21.0,2002.0,1.0,3.0,0.0,0.0,8.0,0.0,0.04,0.13,0.18,0.04,0.18,0.8,0.8,0.04,0.04,22.2,3.0,4.0,18.8,0.13,0.06,0.33,0.05,0.2,0.2,933.0,1152.0,81.0,16703.0,5147.0,400.0,442.0,90.5,392.0,438.0,89.5,111.0,199.0,55.8,21.0,95.0,10.0,5.0,94.0,1021.0,130.0,71.0,1.0,17.0,80.0,43.0,11.0,27.0,0.0,3.0,1.0,21.0,43.0,1.93,24.0,15.0,1.0,2.0,0.0,5.0,0.22,1.0,2.0,0.0,2.0,0.0,0.0,41.0,18.0,17.0,23.0,1.0,22.0,49.0,44.9,27.0,24.0,10.0,14.0,41.0,45.0,1.0,1366.0,86.0,288.0,861.0,234.0,1.0,1366.0,11.0,15.0,73.3,656.0,6.0,13.0,0.0,779.0,25.0,5.0,0.0,23.0,22.0,0.0,0.0,1.0,0.0,140.0,28.0,12.0,70.0
-Ignacio Pussetto,ar ARG,FW,Udinese,24,1995,11.0,9.0,754.0,3.0,1.0,0.0,0.0,2.0,0.0,0.36,0.12,0.48,0.36,0.48,2.5,2.5,0.3,0.3,8.4,7.0,0.0,41.2,0.84,0.18,0.43,0.15,0.5,0.5,118.0,185.0,63.8,1657.0,445.0,68.0,90.0,75.6,35.0,65.0,53.8,7.0,12.0,58.3,8.0,9.0,6.0,1.0,18.0,175.0,10.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,15.0,1.79,11.0,0.0,3.0,0.0,1.0,3.0,0.36,1.0,0.0,1.0,0.0,1.0,0.0,16.0,8.0,5.0,6.0,5.0,6.0,17.0,35.3,11.0,14.0,0.0,14.0,13.0,6.0,0.0,295.0,6.0,28.0,110.0,169.0,43.0,295.0,15.0,26.0,57.7,172.0,25.0,17.0,15.0,196.0,21.0,23.0,0.0,18.0,10.0,7.0,1.0,0.0,0.0,33.0,22.0,21.0,51.2
-Fabio Quagliarella,it ITA,FW,Sampdoria,37,1983,33.0,25.0,2204.0,13.0,1.0,2.0,3.0,1.0,0.0,0.53,0.04,0.57,0.45,0.49,11.8,9.4,0.48,0.38,24.5,25.0,4.0,31.6,1.02,0.14,0.44,0.12,1.2,1.6,362.0,526.0,68.8,5487.0,1166.0,194.0,253.0,76.7,110.0,152.0,72.4,27.0,49.0,55.1,19.0,35.0,10.0,2.0,46.0,467.0,56.0,1.0,0.0,9.0,20.0,0.0,0.0,0.0,0.0,1.0,3.0,25.0,48.0,1.96,32.0,0.0,1.0,10.0,4.0,4.0,0.16,2.0,0.0,0.0,1.0,1.0,0.0,12.0,8.0,4.0,4.0,4.0,2.0,19.0,10.5,17.0,14.0,1.0,13.0,7.0,10.0,0.0,762.0,13.0,69.0,345.0,356.0,104.0,759.0,17.0,28.0,60.7,404.0,20.0,13.0,9.0,561.0,60.0,34.0,0.0,27.0,35.0,18.0,1.0,0.0,0.0,69.0,34.0,50.0,40.5
-Simone Rabbi,it ITA,"FW,DF",Bologna,18,2001,4.0,0.0,35.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.57,2.57,0.0,2.57,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,9.0,55.6,72.0,22.0,3.0,3.0,100.0,2.0,4.0,50.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,2.0,7.0,9.0,2.0,17.0,0.0,1.0,0.0,12.0,0.0,4.0,0.0,13.0,4.0,2.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0
-Adrien Rabiot,fr FRA,MF,Juventus,25,1995,34.0,25.0,2313.0,4.0,2.0,0.0,0.0,7.0,1.0,0.16,0.08,0.23,0.16,0.23,2.7,2.7,0.11,0.11,25.7,12.0,0.0,36.4,0.47,0.12,0.33,0.08,1.3,1.3,1297.0,1450.0,89.4,20213.0,5167.0,687.0,752.0,91.4,492.0,528.0,93.2,80.0,91.0,87.9,10.0,114.0,23.0,4.0,122.0,1412.0,31.0,21.0,1.0,4.0,20.0,0.0,0.0,0.0,0.0,10.0,7.0,26.0,51.0,1.98,47.0,0.0,3.0,1.0,0.0,9.0,0.35,5.0,0.0,3.0,1.0,0.0,0.0,72.0,42.0,24.0,41.0,7.0,28.0,60.0,46.7,32.0,32.0,11.0,21.0,43.0,29.0,1.0,1765.0,93.0,425.0,968.0,399.0,41.0,1765.0,36.0,48.0,75.0,1072.0,69.0,62.0,8.0,1275.0,39.0,14.0,1.0,44.0,21.0,0.0,0.0,2.0,0.0,147.0,37.0,20.0,64.9
-Ivan Radovanović,rs SRB,"DF,MF",Genoa,31,1988,33.0,24.0,2232.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,24.8,1.0,1.0,16.7,0.04,0.0,0.0,0.07,-0.4,-0.4,968.0,1140.0,84.9,20153.0,6983.0,288.0,320.0,90.0,529.0,577.0,91.7,141.0,215.0,65.6,3.0,45.0,0.0,0.0,55.0,1103.0,36.0,33.0,0.0,8.0,4.0,2.0,2.0,0.0,0.0,0.0,1.0,7.0,12.0,0.48,7.0,2.0,0.0,2.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,18.0,15.0,13.0,5.0,0.0,12.0,31.0,38.7,19.0,39.0,21.0,18.0,37.0,114.0,2.0,1391.0,217.0,755.0,612.0,37.0,4.0,1391.0,8.0,10.0,80.0,806.0,4.0,4.0,0.0,851.0,7.0,2.0,0.0,28.0,25.0,0.0,0.0,2.0,0.0,156.0,54.0,45.0,54.5
-Ionuț Radu,ro ROU,GK,Inter,23,1997,2.0,1.0,135.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,54.0,56.0,96.4,982.0,484.0,21.0,21.0,100.0,29.0,29.0,100.0,3.0,5.0,60.0,0.0,0.0,0.0,0.0,0.0,44.0,12.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,59.0,50.0,59.0,0.0,0.0,0.0,59.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
-Ștefan Radu,ro ROU,DF,Lazio,33,1986,31.0,30.0,2458.0,0.0,3.0,0.0,0.0,2.0,0.0,0.0,0.11,0.11,0.0,0.11,0.4,0.4,0.02,0.02,27.3,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.4,-0.4,1355.0,1635.0,82.9,23882.0,9253.0,612.0,677.0,90.4,594.0,680.0,87.4,122.0,212.0,57.5,19.0,147.0,32.0,17.0,165.0,1561.0,63.0,30.0,0.0,10.0,61.0,2.0,1.0,0.0,0.0,31.0,11.0,21.0,47.0,1.72,43.0,1.0,1.0,0.0,0.0,6.0,0.22,6.0,0.0,0.0,0.0,0.0,0.0,43.0,24.0,20.0,19.0,4.0,25.0,40.0,62.5,15.0,27.0,14.0,13.0,45.0,73.0,1.0,1891.0,118.0,670.0,954.0,277.0,10.0,1891.0,13.0,15.0,86.7,1087.0,46.0,38.0,1.0,1289.0,17.0,5.0,0.0,20.0,22.0,0.0,0.0,0.0,0.0,146.0,41.0,21.0,66.1
-Rafael,br BRA,GK,Spezia,38,1982,3.0,2.0,207.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.43,0.43,0.0,0.43,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,78.0,107.0,72.9,1970.0,1422.0,24.0,24.0,100.0,30.0,31.0,96.8,24.0,52.0,46.2,1.0,0.0,0.0,0.0,0.0,81.0,26.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,87.0,114.0,0.0,0.0,0.0,114.0,0.0,0.0,0.0,62.0,0.0,0.0,0.0,62.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,100.0
-Antonio Raimondo,it ITA,FW,Bologna,16,2004,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Gastón Ramírez,uy URU,"FW,MF",Sampdoria,29,1990,25.0,10.0,969.0,0.0,4.0,0.0,0.0,5.0,0.0,0.0,0.37,0.37,0.0,0.37,0.8,0.8,0.08,0.08,10.8,5.0,2.0,38.5,0.46,0.0,0.0,0.06,-0.8,-0.8,350.0,490.0,71.4,5545.0,1776.0,189.0,230.0,82.2,95.0,126.0,75.4,41.0,84.0,48.8,22.0,41.0,12.0,1.0,58.0,420.0,68.0,25.0,1.0,5.0,55.0,38.0,14.0,19.0,0.0,2.0,2.0,9.0,51.0,4.74,32.0,10.0,2.0,0.0,6.0,8.0,0.74,6.0,2.0,0.0,0.0,0.0,0.0,31.0,15.0,10.0,17.0,4.0,8.0,27.0,29.6,19.0,19.0,3.0,16.0,4.0,13.0,0.0,639.0,22.0,88.0,295.0,269.0,20.0,639.0,17.0,27.0,63.0,333.0,16.0,20.0,4.0,433.0,28.0,24.0,0.0,32.0,33.0,3.0,0.0,0.0,0.0,51.0,26.0,34.0,43.3
-Aaron Ramsey,wls WAL,MF,Juventus,29,1990,22.0,13.0,1089.0,2.0,4.0,0.0,0.0,2.0,0.0,0.17,0.33,0.5,0.17,0.5,4.2,4.2,0.35,0.35,12.1,11.0,0.0,45.8,0.91,0.08,0.18,0.17,-2.2,-2.2,622.0,728.0,85.4,9585.0,2443.0,328.0,365.0,89.9,217.0,241.0,90.0,48.0,65.0,73.8,31.0,57.0,21.0,5.0,72.0,704.0,19.0,7.0,1.0,2.0,22.0,9.0,3.0,3.0,0.0,1.0,5.0,14.0,58.0,4.79,46.0,5.0,2.0,2.0,2.0,9.0,0.74,6.0,0.0,1.0,0.0,1.0,1.0,22.0,14.0,8.0,13.0,1.0,8.0,25.0,32.0,17.0,13.0,2.0,11.0,7.0,8.0,2.0,858.0,18.0,115.0,423.0,323.0,62.0,858.0,10.0,13.0,76.9,492.0,38.0,25.0,13.0,698.0,30.0,9.0,0.0,19.0,18.0,3.0,1.0,0.0,0.0,56.0,8.0,13.0,38.1
-Andrea Ranocchia,it ITA,DF,Inter,32,1988,8.0,8.0,703.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.13,0.13,0.0,0.13,1.6,1.6,0.2,0.2,7.8,2.0,0.0,22.2,0.26,0.0,0.0,0.17,-1.6,-1.6,468.0,496.0,94.4,9382.0,3387.0,124.0,130.0,95.4,290.0,296.0,98.0,49.0,61.0,80.3,3.0,11.0,0.0,0.0,17.0,481.0,15.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,7.0,0.9,4.0,0.0,0.0,2.0,0.0,1.0,0.13,0.0,0.0,0.0,1.0,0.0,0.0,13.0,10.0,6.0,6.0,1.0,7.0,8.0,87.5,1.0,5.0,3.0,2.0,12.0,19.0,0.0,562.0,56.0,249.0,299.0,17.0,12.0,562.0,0.0,0.0,0.0,337.0,4.0,2.0,0.0,416.0,3.0,1.0,0.0,13.0,7.0,1.0,0.0,0.0,0.0,40.0,20.0,10.0,66.7
-Giacomo Raspadori,it ITA,"FW,MF",Sassuolo,20,2000,27.0,13.0,1232.0,6.0,0.0,0.0,0.0,1.0,0.0,0.44,0.0,0.44,0.44,0.44,4.3,4.3,0.31,0.31,13.7,12.0,1.0,50.0,0.88,0.25,0.5,0.18,1.7,1.7,269.0,354.0,76.0,4081.0,897.0,151.0,173.0,87.3,76.0,93.0,81.7,24.0,50.0,48.0,27.0,13.0,11.0,0.0,33.0,281.0,72.0,12.0,2.0,1.0,42.0,33.0,18.0,11.0,0.0,0.0,1.0,11.0,62.0,4.53,36.0,10.0,5.0,0.0,10.0,10.0,0.73,5.0,2.0,0.0,0.0,3.0,0.0,5.0,3.0,1.0,1.0,3.0,0.0,4.0,0.0,4.0,13.0,5.0,8.0,2.0,9.0,0.0,481.0,18.0,44.0,177.0,265.0,54.0,481.0,15.0,29.0,51.7,277.0,21.0,12.0,14.0,346.0,36.0,23.0,0.0,8.0,23.0,4.0,4.0,0.0,0.0,29.0,3.0,7.0,30.0
-Federico Ravaglia,it ITA,GK,Bologna,20,1999,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,116.0,137.0,84.7,2396.0,1828.0,36.0,36.0,100.0,55.0,56.0,98.2,20.0,40.0,50.0,0.0,0.0,0.0,0.0,0.0,108.0,29.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,147.0,123.0,147.0,0.0,0.0,0.0,147.0,0.0,0.0,0.0,91.0,0.0,0.0,0.0,78.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
-Ante Rebić,hr CRO,FW,Milan,26,1993,27.0,20.0,1776.0,11.0,4.0,0.0,0.0,4.0,1.0,0.56,0.2,0.76,0.56,0.76,5.9,5.6,0.3,0.28,19.7,23.0,0.0,53.5,1.17,0.26,0.48,0.13,5.1,5.4,290.0,472.0,61.4,3964.0,1216.0,177.0,234.0,75.6,64.0,113.0,56.6,22.0,41.0,53.7,36.0,24.0,31.0,10.0,52.0,447.0,20.0,2.0,2.0,2.0,61.0,2.0,1.0,0.0,0.0,7.0,5.0,31.0,69.0,3.5,50.0,1.0,4.0,7.0,5.0,13.0,0.66,7.0,0.0,0.0,2.0,3.0,1.0,26.0,9.0,4.0,8.0,14.0,8.0,37.0,21.6,29.0,21.0,1.0,20.0,7.0,17.0,0.0,720.0,20.0,54.0,191.0,481.0,112.0,720.0,20.0,41.0,48.8,376.0,43.0,17.0,22.0,508.0,64.0,29.0,0.0,33.0,14.0,11.0,3.0,0.0,0.0,48.0,23.0,35.0,39.7
-Arkadiusz Reca,pl POL,DF,Crotone,25,1995,30.0,28.0,2313.0,2.0,3.0,0.0,0.0,7.0,0.0,0.08,0.12,0.19,0.08,0.19,1.5,1.5,0.06,0.06,25.7,7.0,0.0,23.3,0.27,0.07,0.29,0.05,0.5,0.5,718.0,1029.0,69.8,11934.0,4025.0,356.0,431.0,82.6,289.0,405.0,71.4,50.0,105.0,47.6,26.0,35.0,25.0,11.0,66.0,847.0,177.0,8.0,0.0,12.0,81.0,0.0,0.0,0.0,0.0,168.0,5.0,41.0,55.0,2.14,35.0,3.0,10.0,0.0,6.0,13.0,0.51,3.0,2.0,4.0,0.0,4.0,0.0,34.0,16.0,15.0,11.0,8.0,10.0,45.0,22.2,35.0,30.0,3.0,27.0,50.0,64.0,0.0,1338.0,102.0,423.0,514.0,423.0,68.0,1338.0,37.0,63.0,58.7,696.0,85.0,40.0,22.0,719.0,48.0,14.0,0.0,34.0,25.0,5.0,4.0,0.0,0.0,159.0,34.0,36.0,48.6
-Vasco Regini,it ITA,DF,Sampdoria,29,1990,3.0,1.0,88.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,40.0,87.5,572.0,265.0,21.0,23.0,91.3,10.0,12.0,83.3,4.0,5.0,80.0,1.0,3.0,1.0,1.0,3.0,31.0,9.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,1.0,1.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,1.0,1.0,0.0,1.0,5.0,0.0,52.0,5.0,21.0,19.0,12.0,0.0,52.0,0.0,0.0,0.0,18.0,0.0,1.0,0.0,28.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0
-Pepe Reina,es ESP,GK,Lazio,37,1982,29.0,29.0,2610.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,924.0,1131.0,81.7,23926.0,18127.0,176.0,176.0,100.0,445.0,456.0,97.6,296.0,489.0,60.5,1.0,11.0,1.0,0.0,2.0,919.0,209.0,64.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,0.14,4.0,0.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,6.0,0.0,1182.0,974.0,1174.0,9.0,0.0,0.0,1182.0,1.0,1.0,100.0,740.0,0.0,0.0,0.0,673.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,23.0,4.0,0.0,100.0
-Bryan Reynolds,us USA,DF,Roma,19,2001,5.0,3.0,283.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,122.0,148.0,82.4,1866.0,519.0,71.0,81.0,87.7,39.0,46.0,84.8,9.0,15.0,60.0,1.0,9.0,3.0,0.0,9.0,118.0,30.0,3.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,27.0,0.0,2.0,3.0,0.95,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,1.0,2.0,1.0,5.0,20.0,4.0,4.0,0.0,4.0,6.0,4.0,0.0,175.0,2.0,37.0,93.0,45.0,1.0,175.0,2.0,4.0,50.0,99.0,8.0,7.0,0.0,114.0,5.0,6.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,10.0,2.0,3.0,40.0
-Franck Ribéry,fr FRA,FW,Fiorentina,37,1983,29.0,28.0,2149.0,2.0,6.0,0.0,0.0,6.0,1.0,0.08,0.25,0.34,0.08,0.34,2.6,2.6,0.11,0.11,23.9,9.0,0.0,42.9,0.38,0.1,0.22,0.13,-0.6,-0.6,768.0,882.0,87.1,12172.0,2546.0,408.0,446.0,91.5,262.0,292.0,89.7,67.0,79.0,84.8,35.0,85.0,35.0,2.0,109.0,847.0,29.0,9.0,6.0,11.0,18.0,0.0,0.0,0.0,0.0,9.0,6.0,21.0,83.0,3.47,63.0,1.0,9.0,2.0,8.0,11.0,0.46,8.0,0.0,2.0,0.0,1.0,0.0,24.0,11.0,4.0,9.0,11.0,5.0,29.0,17.2,24.0,11.0,2.0,9.0,3.0,1.0,0.0,1138.0,5.0,72.0,559.0,522.0,81.0,1138.0,64.0,109.0,58.7,809.0,96.0,69.0,32.0,955.0,73.0,84.0,0.0,36.0,73.0,7.0,1.0,0.0,0.0,72.0,6.0,20.0,23.1
-Federico Ricci,it ITA,FW,Sassuolo,26,1994,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,63.0,8.0,2.0,2.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,3.0,2.0,0.0,5.0,1.0,1.0,100.0,3.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Giacomo Ricci,it ITA,DF,Parma,23,1996,3.0,0.0,67.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,25.0,80.0,412.0,165.0,4.0,6.0,66.7,13.0,13.0,100.0,3.0,4.0,75.0,0.0,4.0,2.0,1.0,4.0,21.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,2.69,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,4.0,0.0,42.0,5.0,11.0,19.0,12.0,1.0,42.0,0.0,2.0,0.0,22.0,2.0,1.0,0.0,23.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,33.3
-Matteo Ricci,it ITA,MF,Spezia,26,1994,29.0,26.0,2229.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,1.0,1.0,0.04,0.04,24.8,5.0,3.0,23.8,0.2,0.0,0.0,0.05,-1.0,-1.0,1418.0,1667.0,85.1,29578.0,9592.0,454.0,504.0,90.1,702.0,772.0,90.9,243.0,341.0,71.3,22.0,178.0,26.0,4.0,185.0,1541.0,121.0,107.0,4.0,24.0,32.0,13.0,1.0,9.0,0.0,1.0,5.0,18.0,50.0,2.02,41.0,6.0,0.0,1.0,1.0,4.0,0.16,4.0,0.0,0.0,0.0,0.0,0.0,40.0,23.0,14.0,24.0,2.0,27.0,52.0,51.9,25.0,24.0,4.0,20.0,34.0,13.0,0.0,1841.0,45.0,379.0,1175.0,309.0,12.0,1841.0,11.0,18.0,61.1,1048.0,26.0,28.0,3.0,1288.0,19.0,12.0,0.0,27.0,29.0,0.0,0.0,0.0,0.0,188.0,15.0,12.0,55.6
-Tomás Rincón,ve VEN,MF,Torino,32,1988,36.0,33.0,2846.0,1.0,1.0,0.0,0.0,10.0,1.0,0.03,0.03,0.06,0.03,0.06,1.3,1.3,0.04,0.04,31.6,4.0,0.0,18.2,0.13,0.05,0.25,0.06,-0.3,-0.3,1141.0,1373.0,83.1,19191.0,6007.0,595.0,667.0,89.2,399.0,455.0,87.7,118.0,179.0,65.9,14.0,132.0,16.0,4.0,125.0,1307.0,60.0,46.0,2.0,25.0,21.0,2.0,1.0,0.0,0.0,10.0,6.0,18.0,39.0,1.23,28.0,0.0,2.0,3.0,1.0,4.0,0.13,1.0,0.0,2.0,1.0,0.0,0.0,68.0,38.0,27.0,33.0,8.0,36.0,71.0,50.7,35.0,32.0,7.0,25.0,31.0,44.0,0.0,1666.0,75.0,415.0,989.0,281.0,26.0,1666.0,36.0,50.0,72.0,876.0,30.0,29.0,7.0,1100.0,41.0,26.0,1.0,72.0,44.0,0.0,0.0,0.0,0.0,175.0,48.0,36.0,57.1
-Andrea Rispoli,it ITA,DF,Crotone,31,1988,19.0,5.0,652.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.06,0.06,7.2,1.0,0.0,25.0,0.14,0.0,0.0,0.1,-0.4,-0.4,224.0,324.0,69.1,3839.0,1462.0,107.0,128.0,83.6,87.0,116.0,75.0,21.0,43.0,48.8,10.0,11.0,7.0,7.0,18.0,266.0,57.0,5.0,0.0,2.0,30.0,2.0,0.0,0.0,0.0,50.0,1.0,21.0,15.0,2.06,13.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,3.0,1.0,2.0,7.0,28.6,5.0,12.0,3.0,9.0,5.0,15.0,1.0,393.0,29.0,119.0,140.0,139.0,10.0,393.0,2.0,7.0,28.6,179.0,15.0,11.0,1.0,222.0,7.0,3.0,0.0,8.0,4.0,1.0,0.0,0.0,0.0,22.0,4.0,7.0,36.4
-Emmanuel Rivière,fr FRA,FW,Crotone,30,1990,21.0,7.0,640.0,1.0,1.0,0.0,0.0,2.0,0.0,0.14,0.14,0.28,0.14,0.28,1.1,1.1,0.16,0.16,7.1,4.0,0.0,33.3,0.56,0.08,0.25,0.09,-0.1,-0.1,108.0,149.0,72.5,1347.0,211.0,63.0,83.0,75.9,30.0,36.0,83.3,4.0,5.0,80.0,5.0,6.0,0.0,0.0,6.0,144.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,11.0,1.55,8.0,0.0,1.0,1.0,1.0,4.0,0.56,3.0,0.0,0.0,1.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,3.0,0.0,3.0,5.0,1.0,4.0,1.0,0.0,0.0,211.0,1.0,15.0,116.0,84.0,24.0,211.0,5.0,9.0,55.6,116.0,7.0,5.0,3.0,172.0,19.0,8.0,0.0,10.0,18.0,1.0,0.0,0.0,0.0,18.0,14.0,21.0,40.0
-Ricardo Rodríguez,ch SUI,DF,Torino,27,1992,16.0,15.0,1238.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,13.8,2.0,8.0,15.4,0.15,0.0,0.0,0.05,-0.6,-0.6,600.0,719.0,83.4,10064.0,3055.0,321.0,333.0,96.4,210.0,248.0,84.7,58.0,100.0,58.0,6.0,36.0,5.0,0.0,49.0,638.0,77.0,17.0,0.0,16.0,20.0,1.0,1.0,0.0,0.0,59.0,4.0,14.0,25.0,1.82,21.0,1.0,0.0,2.0,1.0,4.0,0.29,4.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,11.0,8.0,2.0,13.0,22.0,59.1,9.0,16.0,5.0,11.0,20.0,43.0,0.0,855.0,49.0,264.0,451.0,150.0,4.0,855.0,4.0,7.0,57.1,486.0,19.0,14.0,0.0,556.0,5.0,4.0,0.0,13.0,6.0,0.0,0.0,0.0,0.0,53.0,16.0,12.0,57.1
-Marko Rog,hr CRO,MF,Cagliari,25,1995,14.0,14.0,1165.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,12.9,2.0,0.0,25.0,0.15,0.0,0.0,0.03,-0.2,-0.2,541.0,619.0,87.4,8565.0,2501.0,296.0,323.0,91.6,186.0,210.0,88.6,42.0,56.0,75.0,8.0,55.0,7.0,2.0,53.0,593.0,25.0,24.0,1.0,2.0,6.0,1.0,1.0,0.0,0.0,0.0,1.0,7.0,23.0,1.78,20.0,0.0,0.0,0.0,2.0,1.0,0.08,0.0,0.0,0.0,0.0,1.0,0.0,40.0,24.0,15.0,22.0,3.0,16.0,37.0,43.2,21.0,17.0,6.0,11.0,19.0,15.0,0.0,760.0,29.0,177.0,461.0,138.0,8.0,760.0,20.0,31.0,64.5,410.0,30.0,26.0,6.0,493.0,20.0,12.0,0.0,34.0,23.0,0.0,0.0,0.0,0.0,95.0,5.0,13.0,27.8
-Rogério,br BRA,DF,Sassuolo,22,1998,28.0,21.0,1877.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.05,0.05,0.0,0.05,0.5,0.5,0.03,0.03,20.9,3.0,0.0,18.8,0.14,0.0,0.0,0.03,-0.5,-0.5,1061.0,1268.0,83.7,16203.0,4335.0,586.0,636.0,92.1,382.0,452.0,84.5,60.0,110.0,54.5,12.0,59.0,15.0,5.0,81.0,1116.0,152.0,24.0,0.0,5.0,75.0,2.0,0.0,2.0,0.0,126.0,0.0,20.0,30.0,1.44,24.0,3.0,1.0,2.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,26.0,13.0,19.0,5.0,2.0,19.0,27.0,70.4,8.0,26.0,5.0,21.0,31.0,53.0,0.0,1514.0,79.0,426.0,644.0,455.0,35.0,1514.0,24.0,48.0,50.0,902.0,59.0,49.0,9.0,1024.0,30.0,13.0,0.0,28.0,25.0,1.0,0.0,0.0,0.0,93.0,13.0,16.0,44.8
-Luis Rojas,cl CHI,"MF,FW",Crotone,18,2002,7.0,0.0,104.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,36.0,46.0,78.3,501.0,108.0,22.0,25.0,88.0,11.0,14.0,78.6,1.0,4.0,25.0,1.0,3.0,0.0,0.0,3.0,45.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.71,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,2.0,50.0,1.0,2.0,0.0,2.0,1.0,0.0,0.0,68.0,1.0,6.0,45.0,19.0,1.0,68.0,6.0,8.0,75.0,34.0,1.0,3.0,0.0,46.0,9.0,6.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,1.0,50.0
-Alessio Romagnoli,it ITA,DF,Milan,25,1995,22.0,21.0,1907.0,1.0,1.0,0.0,0.0,7.0,0.0,0.05,0.05,0.09,0.05,0.09,2.8,2.8,0.13,0.13,21.2,3.0,0.0,20.0,0.14,0.07,0.33,0.19,-1.8,-1.8,920.0,1029.0,89.4,16835.0,5763.0,314.0,333.0,94.3,534.0,571.0,93.5,61.0,99.0,61.6,3.0,40.0,2.0,1.0,62.0,986.0,40.0,37.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,2.0,3.0,3.0,14.0,0.66,11.0,0.0,0.0,3.0,0.0,2.0,0.09,2.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,8.0,7.0,2.0,8.0,19.0,42.1,11.0,29.0,22.0,7.0,24.0,80.0,0.0,1221.0,153.0,602.0,595.0,33.0,20.0,1221.0,0.0,0.0,0.0,688.0,7.0,7.0,0.0,824.0,6.0,1.0,0.0,19.0,11.0,0.0,0.0,1.0,0.0,85.0,55.0,26.0,67.9
-Cristian Romero,ar ARG,DF,Atalanta,22,1998,31.0,29.0,2545.0,2.0,2.0,0.0,0.0,10.0,0.0,0.07,0.07,0.14,0.07,0.14,1.3,1.3,0.05,0.05,28.3,7.0,0.0,50.0,0.25,0.14,0.29,0.09,0.7,0.7,1134.0,1315.0,86.2,21761.0,7481.0,372.0,441.0,84.4,631.0,677.0,93.2,117.0,146.0,80.1,9.0,54.0,7.0,0.0,71.0,1261.0,53.0,47.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,17.0,28.0,0.99,21.0,0.0,1.0,2.0,2.0,5.0,0.18,3.0,0.0,1.0,0.0,1.0,0.0,63.0,32.0,41.0,19.0,3.0,27.0,49.0,55.1,22.0,31.0,13.0,18.0,96.0,71.0,2.0,1662.0,153.0,764.0,817.0,100.0,29.0,1662.0,7.0,14.0,50.0,863.0,26.0,18.0,0.0,818.0,16.0,7.0,0.0,70.0,32.0,0.0,1.0,0.0,0.0,237.0,112.0,50.0,69.1
-Cristiano Ronaldo,pt POR,FW,Juventus,35,1985,33.0,31.0,2802.0,29.0,2.0,6.0,8.0,3.0,0.0,0.93,0.06,1.0,0.74,0.8,27.7,21.4,0.89,0.69,31.1,61.0,17.0,38.1,1.96,0.14,0.38,0.13,1.3,1.6,838.0,1078.0,77.7,11323.0,2590.0,519.0,602.0,86.2,231.0,288.0,80.2,36.0,63.0,57.1,36.0,73.0,32.0,7.0,117.0,1017.0,52.0,15.0,3.0,2.0,64.0,5.0,0.0,0.0,0.0,18.0,9.0,34.0,122.0,3.92,66.0,2.0,22.0,19.0,12.0,16.0,0.51,7.0,0.0,3.0,5.0,1.0,0.0,6.0,3.0,1.0,3.0,2.0,3.0,15.0,20.0,12.0,11.0,3.0,8.0,5.0,15.0,1.0,1442.0,20.0,61.0,589.0,805.0,197.0,1434.0,58.0,95.0,61.1,831.0,154.0,124.0,67.0,1167.0,62.0,32.0,0.0,17.0,43.0,31.0,1.0,0.0,0.0,71.0,21.0,23.0,47.7
-Marten de Roon,nl NED,MF,Atalanta,29,1991,35.0,33.0,3021.0,1.0,1.0,0.0,0.0,8.0,1.0,0.03,0.03,0.06,0.03,0.06,0.6,0.6,0.02,0.02,33.6,3.0,0.0,17.6,0.09,0.06,0.33,0.04,0.4,0.4,1865.0,2205.0,84.6,34012.0,11402.0,783.0,873.0,89.7,872.0,964.0,90.5,191.0,286.0,66.8,19.0,264.0,21.0,2.0,245.0,2114.0,80.0,65.0,0.0,20.0,16.0,0.0,0.0,0.0,0.0,15.0,11.0,20.0,70.0,2.09,66.0,2.0,0.0,0.0,0.0,7.0,0.21,6.0,0.0,0.0,0.0,0.0,1.0,80.0,48.0,30.0,36.0,14.0,36.0,84.0,42.9,48.0,44.0,9.0,35.0,69.0,40.0,0.0,2491.0,74.0,540.0,1527.0,439.0,13.0,2491.0,12.0,16.0,75.0,1412.0,37.0,42.0,5.0,1627.0,17.0,10.0,0.0,65.0,23.0,0.0,0.0,0.0,0.0,258.0,65.0,44.0,59.6
-Nicolò Rovella,it ITA,MF,Genoa,18,2001,20.0,12.0,1187.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.15,0.15,0.0,0.15,0.9,0.9,0.07,0.07,13.2,2.0,2.0,18.2,0.15,0.0,0.0,0.08,-0.9,-0.9,710.0,844.0,84.1,12704.0,3236.0,323.0,349.0,92.6,279.0,315.0,88.6,92.0,142.0,64.8,16.0,53.0,11.0,4.0,59.0,795.0,45.0,27.0,3.0,9.0,29.0,16.0,3.0,11.0,0.0,1.0,4.0,7.0,28.0,2.12,21.0,2.0,1.0,0.0,4.0,2.0,0.15,1.0,1.0,0.0,0.0,0.0,0.0,29.0,16.0,15.0,11.0,3.0,9.0,32.0,28.1,23.0,11.0,0.0,11.0,20.0,19.0,1.0,974.0,37.0,288.0,557.0,141.0,3.0,974.0,12.0,14.0,85.7,640.0,15.0,18.0,1.0,665.0,16.0,6.0,0.0,19.0,23.0,0.0,0.0,1.0,0.0,93.0,7.0,13.0,35.0
-Amir Rrahmani,xk KVX,DF,Napoli,26,1994,16.0,12.0,1094.0,1.0,0.0,0.0,0.0,2.0,0.0,0.08,0.0,0.08,0.08,0.08,0.4,0.4,0.03,0.03,12.2,2.0,0.0,40.0,0.16,0.2,0.5,0.09,0.6,0.6,545.0,600.0,90.8,9969.0,3563.0,222.0,236.0,94.1,255.0,269.0,94.8,56.0,75.0,74.7,0.0,16.0,0.0,0.0,24.0,561.0,39.0,26.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,6.0,0.49,3.0,0.0,0.0,1.0,2.0,2.0,0.16,0.0,0.0,0.0,1.0,1.0,0.0,13.0,8.0,7.0,6.0,0.0,6.0,9.0,66.7,3.0,17.0,14.0,3.0,8.0,39.0,1.0,691.0,101.0,383.0,299.0,12.0,7.0,691.0,2.0,2.0,100.0,381.0,0.0,1.0,0.0,446.0,3.0,0.0,0.0,11.0,8.0,0.0,2.0,0.0,0.0,54.0,24.0,21.0,53.3
-Kevin Rüegg,ch SUI,"DF,MF",Hellas Verona,21,1998,7.0,1.0,205.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.3,1.0,0.0,100.0,0.44,0.0,0.0,0.03,0.0,0.0,49.0,72.0,68.1,774.0,172.0,26.0,28.0,92.9,18.0,24.0,75.0,5.0,14.0,35.7,0.0,2.0,1.0,1.0,3.0,59.0,12.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,12.0,1.0,3.0,2.0,0.99,1.0,0.0,0.0,0.0,1.0,1.0,0.5,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,2.0,3.0,0.0,88.0,3.0,27.0,23.0,38.0,1.0,88.0,2.0,2.0,100.0,39.0,3.0,3.0,0.0,54.0,5.0,2.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,9.0,1.0,4.0,20.0
-Daniele Rugani,it ITA,DF,Cagliari,26,1994,16.0,12.0,1001.0,1.0,1.0,0.0,0.0,2.0,0.0,0.09,0.09,0.18,0.09,0.18,0.4,0.4,0.04,0.04,11.1,1.0,0.0,33.3,0.09,0.33,1.0,0.14,0.6,0.6,402.0,508.0,79.1,7043.0,2474.0,171.0,198.0,86.4,189.0,220.0,85.9,33.0,70.0,47.1,3.0,23.0,2.0,0.0,36.0,483.0,24.0,20.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,4.0,1.0,5.0,4.0,0.36,3.0,0.0,0.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,24.0,11.0,10.0,12.0,2.0,10.0,20.0,50.0,10.0,15.0,10.0,5.0,15.0,46.0,0.0,635.0,66.0,287.0,313.0,39.0,11.0,635.0,1.0,1.0,100.0,297.0,4.0,6.0,0.0,353.0,4.0,3.0,0.0,15.0,4.0,0.0,0.0,0.0,0.0,49.0,33.0,16.0,67.3
-Matteo Ruggeri,it ITA,DF,Atalanta,18,2002,6.0,3.0,208.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,94.0,119.0,79.0,1368.0,489.0,58.0,61.0,95.1,29.0,45.0,64.4,6.0,9.0,66.7,1.0,4.0,1.0,1.0,4.0,108.0,11.0,2.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,4.0,1.73,4.0,0.0,0.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,2.0,0.0,2.0,3.0,66.7,1.0,2.0,0.0,2.0,4.0,2.0,0.0,138.0,4.0,36.0,51.0,52.0,3.0,138.0,1.0,1.0,100.0,70.0,6.0,3.0,0.0,100.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,11.0,3.0,2.0,60.0
-Mário Rui,pt POR,DF,Napoli,29,1991,27.0,17.0,1669.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.11,0.11,0.0,0.11,0.9,0.9,0.05,0.05,18.5,2.0,2.0,10.5,0.11,0.0,0.0,0.05,-0.9,-0.9,1133.0,1386.0,81.7,17609.0,5940.0,631.0,679.0,92.9,384.0,461.0,83.3,87.0,171.0,50.9,31.0,59.0,21.0,12.0,67.0,1181.0,199.0,53.0,1.0,5.0,83.0,21.0,10.0,4.0,0.0,125.0,6.0,28.0,60.0,3.23,45.0,9.0,2.0,1.0,3.0,5.0,0.27,4.0,1.0,0.0,0.0,0.0,0.0,24.0,13.0,17.0,6.0,1.0,17.0,33.0,51.5,16.0,17.0,4.0,13.0,28.0,29.0,1.0,1556.0,49.0,432.0,724.0,410.0,20.0,1556.0,13.0,20.0,65.0,900.0,37.0,29.0,2.0,1063.0,24.0,4.0,0.0,17.0,41.0,3.0,0.0,0.0,0.0,106.0,9.0,13.0,40.9
-Fabián Ruiz Peña,es ESP,MF,Napoli,24,1996,33.0,29.0,2569.0,3.0,1.0,0.0,0.0,1.0,0.0,0.11,0.04,0.14,0.11,0.14,2.0,2.0,0.07,0.07,28.5,15.0,1.0,34.9,0.53,0.07,0.2,0.05,1.0,1.0,1884.0,2110.0,89.3,32946.0,8928.0,924.0,989.0,93.4,656.0,706.0,92.9,244.0,298.0,81.9,40.0,206.0,39.0,2.0,226.0,2036.0,69.0,59.0,0.0,38.0,23.0,7.0,2.0,1.0,0.0,3.0,5.0,31.0,112.0,3.92,96.0,1.0,3.0,7.0,2.0,12.0,0.42,9.0,0.0,1.0,0.0,2.0,0.0,58.0,31.0,26.0,21.0,11.0,25.0,70.0,35.7,45.0,33.0,3.0,30.0,36.0,32.0,1.0,2380.0,73.0,457.0,1378.0,569.0,39.0,2380.0,28.0,34.0,82.4,1520.0,61.0,55.0,6.0,1869.0,23.0,20.0,0.0,11.0,26.0,1.0,0.0,1.0,0.0,186.0,15.0,7.0,68.2
-Alexis Saelemaekers,be BEL,FW,Milan,21,1999,32.0,27.0,2016.0,2.0,4.0,0.0,0.0,7.0,1.0,0.09,0.18,0.27,0.09,0.27,2.4,2.4,0.11,0.11,22.4,7.0,0.0,25.0,0.31,0.07,0.29,0.09,-0.4,-0.4,679.0,860.0,79.0,8861.0,2127.0,417.0,482.0,86.5,190.0,233.0,81.5,21.0,51.0,41.2,30.0,50.0,23.0,9.0,59.0,844.0,15.0,2.0,1.0,2.0,47.0,4.0,2.0,2.0,0.0,9.0,1.0,19.0,86.0,3.84,66.0,0.0,8.0,1.0,10.0,9.0,0.4,7.0,0.0,0.0,0.0,2.0,0.0,43.0,26.0,20.0,18.0,5.0,19.0,60.0,31.7,41.0,29.0,1.0,28.0,25.0,6.0,0.0,1126.0,13.0,151.0,457.0,531.0,58.0,1126.0,37.0,61.0,60.7,619.0,43.0,26.0,10.0,807.0,61.0,20.0,1.0,29.0,34.0,6.0,1.0,0.0,0.0,113.0,7.0,16.0,30.4
-Jacopo Sala,it ITA,DF,Spezia,28,1991,6.0,4.0,375.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,237.0,280.0,84.6,3953.0,1509.0,122.0,132.0,92.4,92.0,111.0,82.9,18.0,27.0,66.7,2.0,11.0,5.0,3.0,24.0,233.0,47.0,8.0,0.0,1.0,14.0,0.0,0.0,0.0,0.0,39.0,0.0,1.0,7.0,1.68,7.0,0.0,0.0,0.0,0.0,1.0,0.24,1.0,0.0,0.0,0.0,0.0,0.0,17.0,9.0,14.0,1.0,2.0,8.0,22.0,36.4,14.0,5.0,2.0,3.0,5.0,6.0,0.0,319.0,19.0,106.0,151.0,65.0,3.0,319.0,3.0,6.0,50.0,165.0,6.0,2.0,2.0,200.0,2.0,1.0,0.0,7.0,4.0,0.0,0.0,0.0,0.0,23.0,4.0,3.0,57.1
-Eddie Salcedo,it ITA,"MF,FW",Hellas Verona,18,2001,21.0,7.0,755.0,2.0,0.0,0.0,0.0,3.0,0.0,0.24,0.0,0.24,0.24,0.24,3.9,3.9,0.46,0.46,8.4,10.0,0.0,45.5,1.19,0.09,0.2,0.18,-1.9,-1.9,181.0,270.0,67.0,2357.0,756.0,117.0,149.0,78.5,50.0,71.0,70.4,5.0,16.0,31.3,5.0,14.0,10.0,1.0,29.0,255.0,14.0,0.0,0.0,0.0,18.0,1.0,0.0,0.0,0.0,12.0,1.0,15.0,12.0,1.43,9.0,1.0,0.0,0.0,2.0,2.0,0.24,1.0,0.0,0.0,0.0,1.0,0.0,6.0,2.0,3.0,2.0,1.0,3.0,3.0,100.0,0.0,6.0,0.0,6.0,6.0,6.0,0.0,371.0,7.0,39.0,159.0,178.0,32.0,371.0,10.0,15.0,66.7,183.0,13.0,9.0,4.0,274.0,22.0,16.0,0.0,14.0,15.0,3.0,1.0,0.0,0.0,34.0,36.0,57.0,38.7
-Antonio Sanabria,py PAR,FW,Torino,24,1996,14.0,12.0,978.0,5.0,1.0,0.0,0.0,2.0,0.0,0.46,0.09,0.55,0.46,0.55,3.3,3.3,0.3,0.3,10.9,11.0,0.0,55.0,1.01,0.25,0.45,0.16,1.7,1.7,195.0,260.0,75.0,2738.0,388.0,112.0,144.0,77.8,53.0,66.0,80.3,14.0,18.0,77.8,7.0,8.0,8.0,1.0,20.0,255.0,5.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,20.0,1.84,17.0,0.0,0.0,1.0,2.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,0.0,4.0,4.0,2.0,9.0,22.2,7.0,5.0,0.0,5.0,5.0,8.0,0.0,364.0,8.0,26.0,184.0,160.0,35.0,364.0,11.0,21.0,52.4,224.0,11.0,12.0,4.0,286.0,29.0,19.0,0.0,17.0,12.0,3.0,0.0,0.0,0.0,24.0,29.0,38.0,43.3
-Alexis Sánchez,cl CHI,FW,Inter,31,1988,30.0,12.0,1146.0,7.0,5.0,0.0,1.0,0.0,0.0,0.55,0.39,0.94,0.55,0.94,6.4,5.6,0.5,0.44,12.7,15.0,4.0,53.6,1.18,0.25,0.47,0.2,0.6,1.4,398.0,515.0,77.3,6577.0,1699.0,194.0,231.0,84.0,118.0,154.0,76.6,56.0,75.0,74.7,33.0,38.0,30.0,3.0,62.0,472.0,37.0,13.0,6.0,7.0,28.0,15.0,1.0,7.0,0.0,0.0,6.0,6.0,79.0,6.2,62.0,9.0,2.0,4.0,1.0,14.0,1.1,13.0,0.0,1.0,0.0,0.0,0.0,14.0,8.0,4.0,4.0,6.0,5.0,18.0,27.8,13.0,11.0,0.0,11.0,7.0,1.0,1.0,664.0,1.0,56.0,267.0,350.0,67.0,663.0,24.0,36.0,66.7,405.0,28.0,20.0,14.0,529.0,41.0,34.0,0.0,19.0,33.0,10.0,0.0,0.0,0.0,53.0,9.0,10.0,47.4
-Alex Sandro,br BRA,DF,Juventus,29,1991,26.0,20.0,1858.0,2.0,1.0,0.0,0.0,2.0,0.0,0.1,0.05,0.15,0.1,0.15,1.6,1.6,0.08,0.08,20.6,3.0,0.0,23.1,0.15,0.15,0.67,0.13,0.4,0.4,1208.0,1421.0,85.0,21302.0,6647.0,512.0,549.0,93.3,550.0,608.0,90.5,117.0,195.0,60.0,17.0,100.0,20.0,11.0,130.0,1290.0,128.0,24.0,0.0,13.0,60.0,0.0,0.0,0.0,0.0,103.0,3.0,22.0,45.0,2.18,38.0,1.0,2.0,2.0,2.0,4.0,0.19,4.0,0.0,0.0,0.0,0.0,0.0,37.0,23.0,19.0,13.0,5.0,13.0,25.0,52.0,12.0,20.0,4.0,16.0,31.0,57.0,0.0,1645.0,108.0,490.0,831.0,335.0,43.0,1645.0,22.0,28.0,78.6,938.0,69.0,44.0,7.0,1160.0,24.0,11.0,0.0,26.0,28.0,0.0,0.0,0.0,1.0,123.0,38.0,23.0,62.3
-Siriki Sanogo,ci CIV,MF,Benevento,18,2001,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,8.0,100.0,105.0,4.0,4.0,4.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,6.0,1.0,0.0,8.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Nicola Sansone,it ITA,"FW,MF",Bologna,28,1991,26.0,11.0,1169.0,2.0,2.0,0.0,0.0,2.0,0.0,0.15,0.15,0.31,0.15,0.31,3.9,3.9,0.3,0.3,13.0,13.0,3.0,41.9,1.0,0.06,0.15,0.13,-1.9,-1.9,412.0,533.0,77.3,6110.0,1942.0,246.0,285.0,86.3,121.0,154.0,78.6,26.0,51.0,51.0,31.0,29.0,19.0,5.0,58.0,478.0,52.0,17.0,1.0,2.0,49.0,23.0,8.0,12.0,0.0,8.0,3.0,14.0,61.0,4.7,45.0,7.0,4.0,1.0,4.0,3.0,0.23,1.0,1.0,0.0,0.0,1.0,0.0,22.0,11.0,7.0,12.0,3.0,10.0,31.0,32.3,21.0,15.0,0.0,15.0,9.0,7.0,0.0,717.0,12.0,92.0,308.0,322.0,54.0,717.0,34.0,60.0,56.7,470.0,38.0,19.0,21.0,527.0,37.0,29.0,0.0,23.0,40.0,3.0,0.0,0.0,0.0,68.0,5.0,24.0,17.2
-Federico Santander,py PAR,FW,Bologna,29,1991,4.0,0.0,37.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.43,2.43,0.0,2.43,0.2,0.2,0.56,0.56,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,13.0,19.0,68.4,162.0,40.0,8.0,11.0,72.7,4.0,5.0,80.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,1.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,9.47,1.0,0.0,0.0,2.0,1.0,1.0,2.37,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,0.0,7.0,18.0,11.0,25.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,21.0,1.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,4.0,3.0,57.1
-Davide Santon,it ITA,DF,Roma,29,1991,10.0,7.0,586.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.15,0.15,0.0,0.15,0.4,0.4,0.06,0.06,6.5,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.4,-0.4,246.0,281.0,87.5,4060.0,1001.0,116.0,122.0,95.1,110.0,120.0,91.7,14.0,29.0,48.3,5.0,9.0,7.0,3.0,19.0,235.0,46.0,4.0,0.0,1.0,16.0,0.0,0.0,0.0,0.0,42.0,0.0,4.0,10.0,1.59,8.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,3.0,7.0,42.9,4.0,10.0,1.0,9.0,4.0,12.0,0.0,338.0,13.0,87.0,152.0,101.0,10.0,338.0,7.0,10.0,70.0,182.0,17.0,12.0,2.0,209.0,7.0,2.0,0.0,11.0,3.0,1.0,0.0,0.0,0.0,27.0,3.0,2.0,60.0
-Samir Santos,br BRA,DF,Udinese,25,1994,30.0,24.0,2216.0,1.0,0.0,0.0,0.0,6.0,0.0,0.04,0.0,0.04,0.04,0.04,1.3,1.3,0.05,0.05,24.6,3.0,0.0,27.3,0.12,0.09,0.33,0.12,-0.3,-0.3,1132.0,1317.0,86.0,18965.0,7117.0,527.0,558.0,94.4,519.0,583.0,89.0,69.0,131.0,52.7,9.0,75.0,5.0,3.0,88.0,1196.0,114.0,42.0,0.0,5.0,18.0,0.0,0.0,0.0,0.0,72.0,7.0,14.0,25.0,1.02,18.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,23.0,26.0,12.0,2.0,13.0,29.0,44.8,16.0,33.0,17.0,16.0,58.0,60.0,1.0,1562.0,116.0,642.0,791.0,139.0,22.0,1562.0,6.0,8.0,75.0,896.0,24.0,24.0,1.0,1038.0,11.0,14.0,0.0,39.0,36.0,3.0,0.0,0.0,0.0,97.0,49.0,32.0,60.5
-Riccardo Saponara,it ITA,MF,Fiorentina,28,1991,2.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,41.0,90.2,450.0,88.0,18.0,19.0,94.7,11.0,12.0,91.7,1.0,2.0,50.0,1.0,4.0,0.0,0.0,3.0,40.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,3.46,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,3.0,33.3,2.0,0.0,0.0,0.0,1.0,0.0,0.0,47.0,0.0,5.0,25.0,19.0,1.0,47.0,1.0,1.0,100.0,27.0,0.0,4.0,0.0,39.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
-Riccardo Saponara,it ITA,"FW,MF",Spezia,28,1991,9.0,5.0,389.0,2.0,0.0,0.0,0.0,2.0,1.0,0.46,0.0,0.46,0.46,0.46,1.0,1.0,0.23,0.23,4.3,4.0,0.0,40.0,0.93,0.2,0.5,0.1,1.0,1.0,108.0,139.0,77.7,1721.0,537.0,57.0,65.0,87.7,41.0,49.0,83.7,7.0,12.0,58.3,4.0,4.0,6.0,0.0,20.0,135.0,2.0,0.0,0.0,4.0,4.0,1.0,0.0,0.0,0.0,1.0,2.0,4.0,14.0,3.23,7.0,0.0,3.0,0.0,4.0,2.0,0.46,0.0,0.0,0.0,0.0,2.0,0.0,4.0,1.0,1.0,0.0,3.0,1.0,3.0,33.3,2.0,1.0,0.0,1.0,1.0,4.0,0.0,183.0,6.0,32.0,66.0,89.0,20.0,183.0,9.0,14.0,64.3,135.0,17.0,9.0,9.0,146.0,11.0,2.0,1.0,4.0,14.0,2.0,0.0,0.0,0.0,31.0,8.0,6.0,57.1
-Marco Sau,it ITA,"MF,FW",Benevento,32,1987,24.0,9.0,785.0,4.0,2.0,1.0,1.0,1.0,1.0,0.46,0.23,0.69,0.34,0.57,2.4,1.6,0.28,0.19,8.7,5.0,1.0,50.0,0.57,0.3,0.6,0.16,1.6,1.4,182.0,268.0,67.9,2719.0,611.0,94.0,121.0,77.7,65.0,90.0,72.2,14.0,36.0,38.9,19.0,9.0,6.0,1.0,17.0,216.0,51.0,18.0,0.0,0.0,40.0,19.0,5.0,13.0,0.0,0.0,1.0,6.0,32.0,3.67,19.0,9.0,0.0,1.0,3.0,4.0,0.46,2.0,1.0,0.0,0.0,1.0,0.0,6.0,2.0,0.0,6.0,0.0,1.0,16.0,6.3,15.0,7.0,0.0,7.0,5.0,3.0,0.0,357.0,4.0,43.0,160.0,158.0,39.0,356.0,11.0,18.0,61.1,209.0,13.0,11.0,6.0,227.0,29.0,12.0,0.0,8.0,19.0,1.0,1.0,0.0,0.0,37.0,1.0,16.0,5.9
-Gianluca Scamacca,it ITA,FW,Genoa,21,1999,26.0,13.0,1352.0,8.0,2.0,2.0,2.0,1.0,0.0,0.53,0.13,0.67,0.4,0.53,7.9,6.3,0.52,0.42,15.0,16.0,1.0,35.6,1.07,0.13,0.38,0.14,0.1,-0.3,226.0,349.0,64.8,3532.0,535.0,150.0,202.0,74.3,45.0,74.0,60.8,26.0,35.0,74.3,16.0,11.0,6.0,1.0,18.0,332.0,17.0,0.0,1.0,9.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,30.0,2.0,22.0,0.0,3.0,3.0,1.0,3.0,0.2,3.0,0.0,0.0,0.0,0.0,0.0,19.0,10.0,6.0,7.0,6.0,7.0,19.0,36.8,12.0,21.0,4.0,17.0,9.0,12.0,0.0,526.0,16.0,64.0,228.0,246.0,61.0,524.0,16.0,22.0,72.7,298.0,20.0,11.0,7.0,378.0,43.0,26.0,0.0,32.0,17.0,10.0,0.0,0.0,1.0,54.0,41.0,39.0,51.3
-Nicolás Schiappacasse,uy URU,MF,Sassuolo,21,1999,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,6.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Pasquale Schiattarella,it ITA,MF,Benevento,33,1987,29.0,26.0,2247.0,1.0,1.0,0.0,0.0,13.0,1.0,0.04,0.04,0.08,0.04,0.08,0.7,0.7,0.03,0.03,25.0,6.0,0.0,54.5,0.24,0.09,0.17,0.07,0.3,0.3,1091.0,1353.0,80.6,19050.0,6549.0,471.0,524.0,89.9,461.0,544.0,84.7,108.0,186.0,58.1,25.0,131.0,24.0,2.0,144.0,1250.0,91.0,85.0,3.0,11.0,6.0,0.0,0.0,0.0,0.0,5.0,12.0,18.0,57.0,2.28,47.0,2.0,2.0,3.0,1.0,4.0,0.16,3.0,0.0,0.0,1.0,0.0,0.0,37.0,22.0,25.0,12.0,0.0,19.0,47.0,40.4,28.0,19.0,5.0,14.0,32.0,29.0,2.0,1535.0,65.0,401.0,967.0,182.0,9.0,1535.0,15.0,17.0,88.2,851.0,24.0,21.0,2.0,1011.0,19.0,11.0,0.0,36.0,54.0,1.0,0.0,0.0,0.0,172.0,12.0,8.0,60.0
-Jerdy Schouten,nl NED,MF,Bologna,23,1997,34.0,28.0,2512.0,1.0,1.0,0.0,0.0,8.0,1.0,0.04,0.04,0.07,0.04,0.07,0.2,0.2,0.01,0.01,27.9,4.0,0.0,44.4,0.14,0.11,0.25,0.03,0.8,0.8,1206.0,1395.0,86.5,20951.0,6375.0,528.0,592.0,89.2,515.0,577.0,89.3,121.0,148.0,81.8,23.0,154.0,11.0,1.0,148.0,1366.0,25.0,17.0,4.0,5.0,9.0,0.0,0.0,0.0,0.0,0.0,4.0,10.0,56.0,2.01,49.0,0.0,3.0,1.0,2.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,0.0,50.0,25.0,23.0,25.0,2.0,16.0,37.0,43.2,21.0,36.0,13.0,23.0,79.0,37.0,6.0,1698.0,98.0,457.0,984.0,273.0,3.0,1698.0,37.0,60.0,61.7,900.0,14.0,25.0,2.0,1039.0,35.0,22.0,0.0,48.0,24.0,1.0,0.0,1.0,0.0,249.0,34.0,30.0,53.1
-Matteo Scozzarella,it ITA,MF,Parma,32,1988,3.0,3.0,153.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,84.0,106.0,79.2,1719.0,476.0,27.0,30.0,90.0,41.0,45.0,91.1,16.0,31.0,51.6,6.0,8.0,0.0,0.0,9.0,89.0,17.0,6.0,0.0,1.0,13.0,11.0,5.0,4.0,0.0,0.0,0.0,0.0,11.0,6.51,4.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,3.0,1.0,0.0,2.0,3.0,66.7,1.0,3.0,1.0,2.0,6.0,0.0,0.0,124.0,5.0,25.0,73.0,28.0,0.0,124.0,0.0,1.0,0.0,70.0,1.0,0.0,0.0,80.0,1.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-Simone Scuffet,it ITA,GK,Udinese,24,1996,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,28.0,67.9,707.0,592.0,2.0,2.0,100.0,6.0,6.0,100.0,11.0,20.0,55.0,0.0,0.0,0.0,0.0,0.0,15.0,13.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,27.0,29.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,100.0
-Jacopo Segre,it ITA,MF,Torino,23,1997,9.0,1.0,191.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.1,0.1,2.1,1.0,0.0,25.0,0.47,0.0,0.0,0.05,-0.2,-0.2,94.0,106.0,88.7,1700.0,429.0,40.0,42.0,95.2,35.0,41.0,85.4,16.0,17.0,94.1,1.0,9.0,0.0,0.0,4.0,105.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,6.0,2.83,3.0,0.0,0.0,2.0,1.0,2.0,0.94,1.0,0.0,0.0,1.0,0.0,0.0,5.0,2.0,2.0,1.0,2.0,2.0,5.0,40.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,127.0,1.0,19.0,91.0,18.0,5.0,127.0,4.0,5.0,80.0,90.0,2.0,1.0,0.0,101.0,1.0,2.0,0.0,2.0,9.0,1.0,0.0,0.0,0.0,10.0,1.0,1.0,50.0
-Léo Sena,br BRA,MF,Spezia,24,1995,16.0,8.0,885.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,9.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,543.0,624.0,87.0,11724.0,3219.0,174.0,193.0,90.2,236.0,261.0,90.4,121.0,144.0,84.0,2.0,113.0,5.0,1.0,92.0,583.0,40.0,38.0,0.0,12.0,12.0,1.0,0.0,0.0,0.0,1.0,1.0,10.0,21.0,2.14,18.0,1.0,0.0,0.0,2.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,22.0,12.0,7.0,10.0,5.0,12.0,26.0,46.2,14.0,19.0,4.0,15.0,11.0,5.0,0.0,722.0,12.0,114.0,486.0,140.0,2.0,722.0,36.0,43.0,83.7,512.0,30.0,34.0,2.0,536.0,10.0,11.0,0.0,7.0,61.0,0.0,0.0,0.0,0.0,77.0,4.0,11.0,26.7
-Stefano Sensi,it ITA,MF,Inter,24,1995,18.0,4.0,603.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.17,0.17,6.7,7.0,1.0,38.9,1.04,0.0,0.0,0.06,-1.1,-1.1,354.0,432.0,81.9,5867.0,1586.0,174.0,190.0,91.6,134.0,160.0,83.8,33.0,57.0,57.9,11.0,40.0,11.0,2.0,58.0,387.0,43.0,11.0,0.0,1.0,34.0,26.0,7.0,9.0,0.0,5.0,2.0,5.0,34.0,5.07,26.0,4.0,1.0,3.0,0.0,4.0,0.6,0.0,2.0,0.0,2.0,0.0,0.0,9.0,6.0,3.0,5.0,1.0,4.0,11.0,36.4,7.0,6.0,1.0,5.0,7.0,1.0,0.0,504.0,6.0,78.0,226.0,207.0,13.0,504.0,7.0,14.0,50.0,298.0,12.0,13.0,2.0,380.0,15.0,5.0,0.0,10.0,14.0,0.0,0.0,0.0,0.0,49.0,2.0,2.0,50.0
-Luigi Sepe,it ITA,GK,Parma,29,1991,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1147.0,1445.0,79.4,34233.0,26869.0,214.0,218.0,98.2,468.0,474.0,98.7,457.0,739.0,61.8,0.0,33.0,0.0,0.0,1.0,1058.0,381.0,107.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,0.08,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,2.0,13.0,2.0,1508.0,1291.0,1497.0,12.0,0.0,0.0,1508.0,2.0,2.0,100.0,845.0,0.0,0.0,0.0,718.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,34.0,3.0,2.0,60.0
-Stephan El Shaarawy,it ITA,"MF,FW",Roma,27,1992,10.0,6.0,572.0,1.0,1.0,0.0,0.0,1.0,0.0,0.16,0.16,0.31,0.16,0.31,1.3,1.3,0.21,0.21,6.4,7.0,0.0,43.8,1.1,0.06,0.14,0.08,-0.3,-0.3,186.0,240.0,77.5,3004.0,543.0,96.0,119.0,80.7,71.0,83.0,85.5,13.0,17.0,76.5,17.0,9.0,11.0,3.0,22.0,234.0,6.0,2.0,2.0,2.0,10.0,0.0,0.0,0.0,0.0,4.0,0.0,9.0,30.0,4.72,24.0,0.0,3.0,1.0,2.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,3.0,1.0,2.0,9.0,22.2,7.0,3.0,1.0,2.0,3.0,2.0,0.0,306.0,3.0,34.0,112.0,165.0,35.0,306.0,9.0,20.0,45.0,201.0,27.0,17.0,10.0,238.0,13.0,4.0,0.0,8.0,9.0,1.0,0.0,0.0,0.0,19.0,2.0,6.0,25.0
-Eldor Shomurodov,uz UZB,FW,Genoa,25,1995,31.0,16.0,1677.0,8.0,1.0,0.0,0.0,1.0,0.0,0.43,0.05,0.48,0.43,0.48,5.7,5.7,0.31,0.31,18.6,17.0,0.0,43.6,0.91,0.21,0.47,0.15,2.3,2.3,329.0,483.0,68.1,4089.0,754.0,202.0,258.0,78.3,78.0,117.0,66.7,12.0,20.0,60.0,20.0,17.0,9.0,2.0,32.0,469.0,13.0,0.0,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,1.0,22.0,48.0,2.58,32.0,0.0,4.0,8.0,2.0,6.0,0.32,4.0,0.0,1.0,1.0,0.0,0.0,28.0,14.0,7.0,13.0,8.0,9.0,37.0,24.3,28.0,17.0,2.0,15.0,6.0,11.0,0.0,718.0,15.0,69.0,329.0,334.0,81.0,718.0,15.0,34.0,44.1,408.0,33.0,19.0,11.0,540.0,76.0,30.0,0.0,39.0,21.0,11.0,0.0,0.0,0.0,59.0,46.0,79.0,36.8
-Luca Siligardi,it ITA,"MF,FW",Crotone,32,1988,4.0,0.0,49.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.16,0.16,0.5,1.0,0.0,50.0,1.84,0.0,0.0,0.04,-0.1,-0.1,15.0,20.0,75.0,261.0,68.0,6.0,8.0,75.0,7.0,8.0,87.5,1.0,2.0,50.0,2.0,3.0,1.0,0.0,4.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,9.57,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,3.0,1.0,1.0,5.0,20.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,0.0,0.0,13.0,19.0,2.0,30.0,2.0,2.0,100.0,17.0,0.0,2.0,0.0,22.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Luca Siligardi,it ITA,"FW,MF",Parma,32,1988,2.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,19.0,57.9,153.0,38.0,8.0,9.0,88.9,3.0,3.0,100.0,0.0,2.0,0.0,2.0,0.0,1.0,1.0,1.0,17.0,2.0,1.0,0.0,0.0,5.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,3.0,7.94,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,5.0,17.0,3.0,22.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,14.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Adrien Silva,pt POR,MF,Sampdoria,31,1989,24.0,18.0,1599.0,1.0,1.0,0.0,0.0,8.0,1.0,0.06,0.06,0.11,0.06,0.11,0.5,0.5,0.03,0.03,17.8,1.0,0.0,16.7,0.06,0.17,1.0,0.08,0.5,0.5,822.0,948.0,86.7,15307.0,4370.0,350.0,400.0,87.5,318.0,352.0,90.3,130.0,152.0,85.5,11.0,92.0,7.0,1.0,94.0,898.0,48.0,44.0,0.0,22.0,9.0,3.0,1.0,0.0,0.0,1.0,2.0,6.0,32.0,1.8,29.0,2.0,0.0,0.0,0.0,3.0,0.17,2.0,1.0,0.0,0.0,0.0,0.0,49.0,22.0,21.0,22.0,6.0,18.0,54.0,33.3,36.0,34.0,1.0,33.0,30.0,10.0,1.0,1122.0,36.0,246.0,724.0,167.0,5.0,1122.0,17.0,25.0,68.0,578.0,8.0,13.0,1.0,711.0,21.0,17.0,1.0,35.0,23.0,0.0,0.0,2.0,0.0,142.0,19.0,15.0,55.9
-Marco Silvestri,it ITA,GK,Hellas Verona,29,1991,34.0,34.0,3060.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,440.0,963.0,45.7,16170.0,14614.0,60.0,60.0,100.0,141.0,144.0,97.9,239.0,753.0,31.7,0.0,19.0,0.0,0.0,0.0,625.0,335.0,69.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.03,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,1.0,1045.0,899.0,1043.0,2.0,0.0,0.0,1045.0,0.0,0.0,0.0,482.0,0.0,0.0,0.0,382.0,0.0,0.0,0.0,2.0,3.0,0.0,0.0,2.0,1.0,61.0,7.0,3.0,70.0
-Giovanni Simeone,ar ARG,FW,Cagliari,25,1995,33.0,19.0,1740.0,6.0,2.0,0.0,0.0,1.0,0.0,0.31,0.1,0.41,0.31,0.41,7.7,7.7,0.4,0.4,19.3,13.0,0.0,30.2,0.67,0.14,0.46,0.18,-1.7,-1.7,255.0,346.0,73.7,3452.0,361.0,153.0,194.0,78.9,79.0,99.0,79.8,5.0,12.0,41.7,12.0,7.0,3.0,1.0,13.0,296.0,49.0,1.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,1.0,14.0,32.0,1.66,21.0,0.0,4.0,4.0,3.0,5.0,0.26,4.0,0.0,0.0,1.0,0.0,0.0,24.0,11.0,2.0,15.0,7.0,7.0,31.0,22.6,24.0,23.0,1.0,22.0,10.0,18.0,0.0,574.0,23.0,61.0,272.0,250.0,77.0,574.0,15.0,23.0,65.2,285.0,25.0,17.0,10.0,352.0,57.0,22.0,0.0,24.0,25.0,18.0,0.0,0.0,0.0,55.0,29.0,66.0,30.5
-Wilfried Singo,ci CIV,DF,Torino,19,2000,28.0,20.0,1854.0,1.0,2.0,0.0,0.0,4.0,1.0,0.05,0.1,0.15,0.05,0.15,1.2,1.2,0.06,0.06,20.6,1.0,0.0,10.0,0.05,0.1,1.0,0.12,-0.2,-0.2,723.0,963.0,75.1,10923.0,3562.0,406.0,452.0,89.8,254.0,349.0,72.8,44.0,104.0,42.3,24.0,35.0,20.0,11.0,62.0,778.0,185.0,16.0,0.0,5.0,79.0,0.0,0.0,0.0,0.0,169.0,0.0,19.0,41.0,1.99,31.0,2.0,2.0,2.0,4.0,4.0,0.19,3.0,0.0,0.0,0.0,1.0,0.0,29.0,14.0,16.0,6.0,7.0,17.0,33.0,51.5,16.0,13.0,3.0,10.0,29.0,40.0,0.0,1205.0,62.0,303.0,548.0,382.0,29.0,1205.0,52.0,90.0,57.8,658.0,73.0,48.0,12.0,686.0,41.0,14.0,1.0,27.0,50.0,2.0,1.0,0.0,0.0,129.0,50.0,26.0,65.8
-Salvatore Sirigu,it ITA,GK,Torino,33,1987,32.0,32.0,2880.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,711.0,1006.0,70.7,19538.0,14210.0,174.0,175.0,99.4,273.0,283.0,96.5,256.0,537.0,47.7,0.0,17.0,0.0,0.0,0.0,615.0,390.0,119.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,0.09,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,6.0,2.0,1073.0,884.0,1066.0,8.0,0.0,0.0,1073.0,0.0,0.0,0.0,515.0,0.0,0.0,0.0,420.0,2.0,0.0,0.0,1.0,3.0,0.0,0.0,1.0,0.0,42.0,4.0,1.0,80.0
-Łukasz Skorupski,pl POL,GK,Bologna,29,1991,28.0,28.0,2520.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,747.0,959.0,77.9,16949.0,11831.0,198.0,200.0,99.0,329.0,337.0,97.6,172.0,367.0,46.9,0.0,3.0,0.0,0.0,0.0,675.0,280.0,49.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,4.0,25.0,3.0,0.0,0.0,0.0,0.0,23.0,5.0,1047.0,954.0,1045.0,2.0,0.0,0.0,1047.0,0.0,0.0,0.0,570.0,0.0,0.0,0.0,434.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,37.0,6.0,1.0,85.7
-Andreas Skov Olsen,dk DEN,"FW,DF",Bologna,20,1999,26.0,12.0,1179.0,2.0,3.0,0.0,0.0,1.0,0.0,0.15,0.23,0.38,0.15,0.38,4.1,4.1,0.31,0.31,13.1,10.0,2.0,33.3,0.76,0.07,0.2,0.14,-2.1,-2.1,407.0,546.0,74.5,5984.0,1534.0,231.0,263.0,87.8,127.0,172.0,73.8,25.0,61.0,41.0,20.0,12.0,10.0,5.0,29.0,505.0,38.0,6.0,0.0,5.0,66.0,26.0,18.0,2.0,0.0,5.0,3.0,12.0,40.0,3.05,30.0,6.0,3.0,0.0,1.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,0.0,19.0,10.0,11.0,4.0,4.0,11.0,21.0,52.4,10.0,15.0,0.0,15.0,3.0,25.0,0.0,710.0,21.0,122.0,243.0,351.0,57.0,710.0,17.0,39.0,43.6,405.0,61.0,26.0,24.0,499.0,30.0,9.0,0.0,12.0,12.0,2.0,0.0,0.0,0.0,58.0,9.0,10.0,47.4
-Milan Škriniar,sk SVK,DF,Inter,25,1995,32.0,31.0,2777.0,3.0,0.0,0.0,0.0,1.0,0.0,0.1,0.0,0.1,0.1,0.1,2.3,2.3,0.07,0.07,30.9,6.0,0.0,40.0,0.19,0.2,0.5,0.15,0.7,0.7,2009.0,2182.0,92.1,35415.0,10388.0,844.0,881.0,95.8,983.0,1039.0,94.6,158.0,214.0,73.8,9.0,133.0,10.0,0.0,143.0,2103.0,77.0,59.0,0.0,19.0,4.0,0.0,0.0,0.0,0.0,16.0,2.0,13.0,25.0,0.81,21.0,0.0,0.0,3.0,1.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,48.0,32.0,29.0,16.0,3.0,23.0,34.0,67.6,11.0,30.0,19.0,11.0,30.0,89.0,1.0,2452.0,246.0,1048.0,1214.0,198.0,27.0,2452.0,6.0,9.0,66.7,1428.0,46.0,30.0,1.0,1862.0,18.0,13.0,0.0,34.0,27.0,0.0,0.0,0.0,0.0,163.0,32.0,43.0,42.7
-Chris Smalling,eng ENG,DF,Roma,30,1989,16.0,13.0,1111.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.5,0.5,0.04,0.04,12.3,1.0,0.0,14.3,0.08,0.0,0.0,0.07,-0.5,-0.5,620.0,684.0,90.6,12325.0,4078.0,163.0,175.0,93.1,377.0,393.0,95.9,68.0,96.0,70.8,2.0,16.0,0.0,0.0,20.0,661.0,23.0,18.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,5.0,0.41,4.0,0.0,1.0,0.0,0.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,7.0,2.0,6.0,10.0,60.0,4.0,17.0,11.0,6.0,28.0,46.0,1.0,806.0,98.0,424.0,361.0,24.0,15.0,806.0,4.0,4.0,100.0,412.0,0.0,2.0,0.0,521.0,8.0,4.0,0.0,13.0,8.0,1.0,0.0,0.0,0.0,67.0,25.0,13.0,65.8
-Simon Sohm,ch SUI,MF,Parma,19,2001,18.0,8.0,899.0,1.0,0.0,0.0,0.0,1.0,0.0,0.1,0.0,0.1,0.1,0.1,0.6,0.6,0.06,0.06,10.0,1.0,0.0,20.0,0.1,0.2,1.0,0.12,0.4,0.4,354.0,424.0,83.5,5966.0,1323.0,150.0,173.0,86.7,165.0,185.0,89.2,26.0,42.0,61.9,4.0,31.0,2.0,0.0,33.0,417.0,6.0,3.0,0.0,4.0,4.0,3.0,2.0,0.0,0.0,0.0,1.0,5.0,11.0,1.1,7.0,0.0,3.0,0.0,0.0,1.0,0.1,0.0,0.0,1.0,0.0,0.0,0.0,18.0,12.0,11.0,6.0,1.0,11.0,26.0,42.3,15.0,8.0,0.0,8.0,5.0,7.0,0.0,502.0,12.0,127.0,298.0,81.0,5.0,502.0,7.0,11.0,63.6,287.0,13.0,11.0,2.0,374.0,12.0,14.0,0.0,8.0,4.0,2.0,0.0,0.0,0.0,47.0,9.0,7.0,56.3
-Roberto Soriano,it ITA,MF,Bologna,29,1991,37.0,37.0,3250.0,9.0,6.0,0.0,0.0,5.0,0.0,0.25,0.17,0.42,0.25,0.42,6.9,6.9,0.19,0.19,36.1,19.0,0.0,31.1,0.53,0.15,0.47,0.11,2.1,2.1,1222.0,1507.0,81.1,17944.0,6045.0,693.0,805.0,86.1,396.0,459.0,86.3,71.0,103.0,68.9,52.0,155.0,46.0,3.0,199.0,1475.0,23.0,11.0,5.0,6.0,34.0,0.0,0.0,0.0,0.0,8.0,9.0,38.0,110.0,3.05,93.0,0.0,3.0,5.0,7.0,14.0,0.39,10.0,0.0,0.0,2.0,1.0,1.0,48.0,26.0,15.0,20.0,13.0,15.0,64.0,23.4,49.0,31.0,8.0,23.0,18.0,43.0,0.0,1865.0,58.0,265.0,980.0,645.0,94.0,1865.0,36.0,56.0,64.3,1171.0,80.0,64.0,7.0,1431.0,64.0,31.0,0.0,75.0,49.0,3.0,2.0,0.0,0.0,184.0,34.0,58.0,37.0
-Riccardo Sottil,it ITA,"FW,MF",Cagliari,21,1999,21.0,12.0,1184.0,2.0,1.0,0.0,0.0,3.0,0.0,0.15,0.08,0.23,0.15,0.23,1.5,1.5,0.12,0.12,13.2,9.0,0.0,36.0,0.68,0.08,0.22,0.06,0.5,0.5,281.0,382.0,73.6,4702.0,973.0,139.0,173.0,80.3,108.0,140.0,77.1,24.0,40.0,60.0,16.0,19.0,18.0,4.0,47.0,367.0,14.0,1.0,0.0,6.0,43.0,11.0,2.0,6.0,0.0,1.0,1.0,11.0,40.0,3.04,29.0,1.0,3.0,4.0,3.0,4.0,0.3,3.0,0.0,0.0,1.0,0.0,0.0,7.0,3.0,2.0,3.0,2.0,0.0,7.0,0.0,7.0,4.0,0.0,4.0,5.0,3.0,0.0,515.0,3.0,50.0,204.0,285.0,49.0,515.0,40.0,59.0,67.8,374.0,77.0,53.0,21.0,380.0,29.0,22.0,0.0,17.0,35.0,1.0,0.0,0.0,0.0,82.0,3.0,12.0,20.0
-Adama Soumaoro,fr FRA,DF,Bologna,28,1992,20.0,19.0,1755.0,1.0,0.0,0.0,0.0,4.0,0.0,0.05,0.0,0.05,0.05,0.05,1.4,1.4,0.07,0.07,19.5,2.0,0.0,25.0,0.1,0.13,0.5,0.17,-0.4,-0.4,822.0,925.0,88.9,14538.0,4983.0,337.0,375.0,89.9,415.0,448.0,92.6,61.0,77.0,79.2,3.0,21.0,0.0,0.0,51.0,853.0,71.0,67.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,5.0,12.0,0.62,11.0,0.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,24.0,14.0,17.0,7.0,0.0,6.0,12.0,50.0,6.0,28.0,23.0,5.0,20.0,72.0,0.0,1114.0,152.0,570.0,521.0,30.0,11.0,1114.0,6.0,6.0,100.0,531.0,12.0,6.0,0.0,625.0,7.0,2.0,0.0,33.0,19.0,0.0,0.0,3.0,0.0,111.0,60.0,15.0,80.0
-Leonardo Spinazzola,it ITA,DF,Roma,27,1993,27.0,25.0,2124.0,2.0,4.0,0.0,0.0,0.0,0.0,0.08,0.17,0.25,0.08,0.25,1.7,1.7,0.08,0.08,23.6,6.0,0.0,27.3,0.25,0.09,0.33,0.09,0.3,0.3,957.0,1227.0,78.0,16192.0,4598.0,485.0,569.0,85.2,358.0,431.0,83.1,93.0,157.0,59.2,33.0,74.0,45.0,21.0,105.0,1079.0,145.0,12.0,2.0,13.0,103.0,0.0,0.0,0.0,0.0,133.0,3.0,33.0,71.0,3.14,55.0,2.0,12.0,1.0,1.0,9.0,0.4,8.0,0.0,1.0,0.0,0.0,0.0,12.0,6.0,3.0,9.0,0.0,8.0,20.0,40.0,12.0,16.0,1.0,15.0,25.0,31.0,0.0,1473.0,52.0,308.0,609.0,583.0,70.0,1473.0,53.0,120.0,44.2,872.0,147.0,86.0,33.0,967.0,30.0,8.0,0.0,8.0,11.0,2.0,0.0,0.0,1.0,107.0,10.0,1.0,90.9
-Marco Sportiello,it ITA,GK,Atalanta,28,1992,15.0,13.0,1261.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,315.0,376.0,83.8,8191.0,5344.0,64.0,64.0,100.0,160.0,160.0,100.0,89.0,149.0,59.7,0.0,2.0,0.0,0.0,0.0,295.0,80.0,23.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,3.0,33.3,2.0,0.0,0.0,0.0,2.0,5.0,1.0,403.0,319.0,402.0,1.0,0.0,0.0,403.0,0.0,0.0,0.0,248.0,0.0,0.0,0.0,190.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,29.0,5.0,1.0,83.3
-Mattia Sprocati,it ITA,"MF,FW",Parma,27,1993,1.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,48.0,4.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,6.0,0.0,1.0,4.0,1.0,0.0,6.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Thomas Strakosha,al ALB,GK,Lazio,25,1995,9.0,9.0,810.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,294.0,344.0,85.5,7185.0,5564.0,81.0,81.0,100.0,124.0,127.0,97.6,85.0,132.0,64.4,0.0,4.0,0.0,0.0,0.0,279.0,65.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,368.0,302.0,364.0,4.0,0.0,0.0,368.0,0.0,0.0,0.0,255.0,0.0,0.0,0.0,203.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,14.0,3.0,0.0,100.0
-Kevin Strootman,nl NED,MF,Genoa,30,1990,18.0,18.0,1314.0,0.0,4.0,0.0,0.0,7.0,0.0,0.0,0.27,0.27,0.0,0.27,0.5,0.5,0.04,0.04,14.6,2.0,0.0,33.3,0.14,0.0,0.0,0.09,-0.5,-0.5,683.0,849.0,80.4,10853.0,3015.0,354.0,402.0,88.1,256.0,298.0,85.9,53.0,98.0,54.1,23.0,61.0,17.0,4.0,78.0,781.0,61.0,32.0,2.0,2.0,39.0,18.0,5.0,7.0,0.0,11.0,7.0,13.0,36.0,2.47,32.0,3.0,0.0,0.0,0.0,4.0,0.27,3.0,0.0,0.0,0.0,0.0,1.0,30.0,18.0,13.0,15.0,2.0,14.0,32.0,43.8,18.0,35.0,3.0,32.0,25.0,18.0,0.0,1003.0,24.0,199.0,618.0,196.0,13.0,1003.0,9.0,14.0,64.3,590.0,15.0,15.0,3.0,675.0,16.0,10.0,0.0,25.0,13.0,1.0,0.0,0.0,0.0,89.0,15.0,15.0,50.0
-Jens Stryger Larsen,dk DEN,DF,Udinese,29,1991,33.0,30.0,2638.0,2.0,0.0,0.0,0.0,0.0,0.0,0.07,0.0,0.07,0.07,0.07,3.0,3.0,0.1,0.1,29.3,12.0,0.0,52.2,0.41,0.09,0.17,0.13,-1.0,-1.0,1022.0,1314.0,77.8,15641.0,6484.0,591.0,657.0,90.0,334.0,437.0,76.4,67.0,149.0,45.0,10.0,78.0,20.0,5.0,107.0,1120.0,191.0,10.0,1.0,3.0,60.0,1.0,0.0,1.0,0.0,180.0,3.0,26.0,33.0,1.13,27.0,0.0,3.0,1.0,1.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,17.0,11.0,14.0,3.0,0.0,8.0,25.0,32.0,17.0,26.0,11.0,15.0,24.0,65.0,0.0,1548.0,103.0,463.0,682.0,408.0,31.0,1548.0,14.0,23.0,60.9,873.0,43.0,25.0,2.0,975.0,32.0,19.0,0.0,12.0,13.0,4.0,0.0,1.0,0.0,131.0,22.0,32.0,40.7
-Stefano Sturaro,it ITA,MF,Hellas Verona,27,1993,10.0,4.0,423.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,137.0,183.0,74.9,2385.0,565.0,65.0,81.0,80.2,54.0,67.0,80.6,14.0,21.0,66.7,0.0,10.0,3.0,1.0,11.0,171.0,12.0,7.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,5.0,0.0,5.0,5.0,1.06,4.0,0.0,0.0,1.0,0.0,1.0,0.21,1.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,0.0,1.0,2.0,8.0,25.0,6.0,5.0,1.0,4.0,5.0,10.0,0.0,224.0,10.0,57.0,125.0,44.0,4.0,224.0,1.0,3.0,33.3,118.0,3.0,3.0,0.0,135.0,4.0,6.0,0.0,17.0,6.0,0.0,0.0,0.0,0.0,16.0,7.0,8.0,46.7
-Stefano Sturaro,it ITA,MF,Genoa,27,1993,6.0,6.0,445.0,1.0,0.0,0.0,0.0,1.0,0.0,0.2,0.0,0.2,0.2,0.2,0.6,0.6,0.13,0.13,4.9,2.0,2.0,40.0,0.4,0.2,0.5,0.13,0.4,0.4,165.0,236.0,69.9,3031.0,705.0,69.0,89.0,77.5,70.0,88.0,79.5,21.0,41.0,51.2,4.0,9.0,2.0,1.0,24.0,203.0,33.0,13.0,0.0,3.0,22.0,14.0,5.0,7.0,0.0,2.0,0.0,7.0,8.0,1.62,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,3.0,6.0,2.0,3.0,15.0,20.0,12.0,5.0,0.0,5.0,7.0,2.0,0.0,295.0,3.0,45.0,172.0,79.0,4.0,295.0,5.0,8.0,62.5,131.0,2.0,6.0,0.0,175.0,16.0,8.0,0.0,14.0,12.0,2.0,0.0,0.0,0.0,33.0,7.0,12.0,36.8
-Bosko Sutalo,hr CRO,DF,Atalanta,20,2000,7.0,3.0,233.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,128.0,165.0,77.6,1813.0,671.0,82.0,97.0,84.5,36.0,47.0,76.6,7.0,8.0,87.5,2.0,7.0,0.0,0.0,10.0,154.0,11.0,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,7.0,0.0,8.0,4.0,1.55,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,0.0,3.0,2.0,4.0,5.0,80.0,1.0,2.0,1.0,1.0,2.0,7.0,1.0,194.0,7.0,69.0,91.0,37.0,4.0,194.0,2.0,3.0,66.7,86.0,6.0,3.0,0.0,119.0,3.0,1.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,21.0,12.0,8.0,60.0
-Mattias Svanberg,se SWE,MF,Bologna,21,1999,34.0,24.0,1852.0,5.0,2.0,0.0,0.0,8.0,1.0,0.24,0.1,0.34,0.24,0.34,4.6,4.6,0.22,0.22,20.6,17.0,1.0,29.3,0.83,0.09,0.29,0.08,0.4,0.4,512.0,653.0,78.4,8602.0,2821.0,245.0,293.0,83.6,212.0,248.0,85.5,40.0,59.0,67.8,15.0,51.0,18.0,0.0,88.0,633.0,16.0,8.0,6.0,7.0,6.0,0.0,0.0,0.0,0.0,0.0,4.0,21.0,49.0,2.38,34.0,1.0,4.0,5.0,3.0,6.0,0.29,5.0,0.0,1.0,0.0,0.0,0.0,38.0,17.0,21.0,9.0,8.0,16.0,45.0,35.6,29.0,25.0,4.0,21.0,30.0,25.0,1.0,903.0,43.0,213.0,467.0,243.0,24.0,903.0,21.0,30.0,70.0,494.0,32.0,26.0,3.0,562.0,24.0,18.0,1.0,46.0,44.0,0.0,0.0,0.0,0.0,109.0,20.0,16.0,55.6
-Wojciech Szczęsny,pl POL,GK,Juventus,30,1990,30.0,30.0,2677.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,29.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,919.0,1016.0,90.5,21589.0,13534.0,214.0,214.0,100.0,482.0,489.0,98.6,221.0,307.0,72.0,1.0,5.0,0.0,0.0,1.0,800.0,215.0,36.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,3.0,0.1,3.0,0.0,0.0,0.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,3.0,5.0,1.0,1076.0,881.0,1067.0,9.0,0.0,0.0,1076.0,1.0,1.0,100.0,618.0,0.0,1.0,1.0,595.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,59.0,7.0,0.0,100.0
-Adrien Tameze,cm CMR,MF,Hellas Verona,26,1994,33.0,28.0,2304.0,1.0,0.0,0.0,0.0,6.0,0.0,0.04,0.0,0.04,0.04,0.04,1.2,1.2,0.05,0.05,25.6,3.0,0.0,16.7,0.12,0.06,0.33,0.07,-0.2,-0.2,802.0,1014.0,79.1,14073.0,3190.0,359.0,426.0,84.3,332.0,394.0,84.3,87.0,127.0,68.5,11.0,71.0,18.0,2.0,101.0,971.0,35.0,28.0,1.0,6.0,15.0,0.0,0.0,0.0,0.0,5.0,8.0,12.0,34.0,1.37,26.0,0.0,2.0,1.0,2.0,4.0,0.16,2.0,0.0,1.0,0.0,0.0,1.0,39.0,25.0,23.0,15.0,1.0,11.0,27.0,40.7,16.0,31.0,8.0,23.0,32.0,46.0,2.0,1277.0,53.0,279.0,748.0,272.0,17.0,1277.0,34.0,45.0,75.6,639.0,33.0,19.0,1.0,721.0,39.0,28.0,0.0,35.0,29.0,2.0,0.0,1.0,0.0,188.0,44.0,48.0,47.8
-Ciprian Tătărușanu,ro ROU,GK,Milan,34,1986,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,26.0,92.3,465.0,326.0,7.0,7.0,100.0,14.0,14.0,100.0,3.0,5.0,60.0,0.0,0.0,0.0,0.0,0.0,22.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,30.0,26.0,30.0,0.0,0.0,0.0,30.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Andrés Tello,co COL,"DF,MF",Benevento,23,1996,17.0,2.0,413.0,1.0,0.0,0.0,0.0,3.0,0.0,0.22,0.0,0.22,0.22,0.22,0.3,0.3,0.07,0.07,4.6,3.0,0.0,42.9,0.65,0.14,0.33,0.04,0.7,0.7,133.0,191.0,69.6,2095.0,760.0,70.0,81.0,86.4,47.0,72.0,65.3,10.0,22.0,45.5,1.0,12.0,3.0,0.0,20.0,172.0,17.0,2.0,0.0,2.0,10.0,2.0,0.0,1.0,0.0,13.0,2.0,5.0,3.0,0.65,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,8.0,0.0,1.0,5.0,20.0,25.0,15.0,8.0,1.0,7.0,6.0,6.0,0.0,255.0,17.0,76.0,103.0,79.0,12.0,255.0,5.0,10.0,50.0,107.0,12.0,4.0,2.0,140.0,9.0,3.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,35.0,10.0,10.0,50.0
-Hidde ter Avest,nl NED,DF,Udinese,23,1997,6.0,4.0,351.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,148.0,205.0,72.2,2306.0,1090.0,82.0,98.0,83.7,54.0,77.0,70.1,10.0,20.0,50.0,0.0,14.0,0.0,0.0,18.0,174.0,28.0,1.0,1.0,0.0,16.0,0.0,0.0,0.0,0.0,27.0,3.0,4.0,4.0,1.03,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,2.0,0.0,2.0,5.0,40.0,3.0,3.0,1.0,2.0,2.0,5.0,0.0,233.0,5.0,55.0,97.0,81.0,3.0,233.0,3.0,4.0,75.0,129.0,7.0,4.0,1.0,151.0,7.0,0.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,19.0,1.0,2.0,33.3
-Pietro Terracciano,it ITA,GK,Fiorentina,30,1990,4.0,2.0,272.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,49.0,88.0,55.7,2195.0,1879.0,1.0,1.0,100.0,10.0,10.0,100.0,38.0,77.0,49.4,0.0,4.0,0.0,0.0,0.0,40.0,48.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,96.0,80.0,95.0,1.0,0.0,0.0,96.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Claudio Terzi,it ITA,DF,Spezia,36,1984,25.0,22.0,1869.0,1.0,1.0,0.0,0.0,9.0,1.0,0.05,0.05,0.1,0.05,0.1,0.4,0.4,0.02,0.02,20.8,2.0,0.0,40.0,0.1,0.2,0.5,0.09,0.6,0.6,1125.0,1348.0,83.5,24797.0,9399.0,349.0,371.0,94.1,527.0,584.0,90.2,238.0,349.0,68.2,5.0,109.0,5.0,0.0,83.0,1247.0,86.0,83.0,0.0,32.0,4.0,0.0,0.0,0.0,0.0,3.0,15.0,9.0,13.0,0.63,10.0,1.0,1.0,1.0,0.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,0.0,34.0,21.0,19.0,14.0,1.0,19.0,28.0,67.9,9.0,23.0,12.0,11.0,35.0,55.0,1.0,1515.0,119.0,700.0,765.0,61.0,10.0,1515.0,3.0,4.0,75.0,943.0,20.0,18.0,0.0,1007.0,5.0,3.0,1.0,24.0,16.0,2.0,0.0,2.0,0.0,112.0,35.0,35.0,50.0
-Morten Thorsby,no NOR,MF,Sampdoria,24,1996,33.0,29.0,2648.0,3.0,1.0,0.0,0.0,10.0,0.0,0.1,0.03,0.14,0.1,0.14,2.9,2.9,0.1,0.1,29.4,9.0,0.0,39.1,0.31,0.13,0.33,0.12,0.1,0.1,737.0,986.0,74.7,10152.0,3497.0,443.0,534.0,83.0,225.0,305.0,73.8,29.0,54.0,53.7,18.0,57.0,5.0,1.0,80.0,960.0,23.0,9.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,14.0,3.0,19.0,45.0,1.53,37.0,0.0,0.0,3.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,76.0,42.0,32.0,36.0,8.0,20.0,60.0,33.3,40.0,51.0,16.0,35.0,25.0,30.0,0.0,1313.0,68.0,317.0,721.0,288.0,63.0,1313.0,14.0,20.0,70.0,520.0,19.0,16.0,4.0,745.0,39.0,16.0,0.0,72.0,24.0,2.0,0.0,2.0,0.0,145.0,153.0,111.0,58.0
-Jeremy Toljan,de GER,DF,Sassuolo,25,1994,26.0,18.0,1490.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.12,0.12,0.0,0.12,0.2,0.2,0.01,0.01,16.6,1.0,0.0,20.0,0.06,0.0,0.0,0.05,-0.2,-0.2,791.0,896.0,88.3,11513.0,2922.0,479.0,506.0,94.7,250.0,282.0,88.7,41.0,67.0,61.2,14.0,50.0,20.0,7.0,67.0,772.0,123.0,20.0,0.0,5.0,30.0,0.0,0.0,0.0,0.0,103.0,1.0,14.0,28.0,1.69,26.0,0.0,1.0,1.0,0.0,2.0,0.12,1.0,0.0,0.0,1.0,0.0,0.0,21.0,12.0,16.0,3.0,2.0,12.0,27.0,44.4,15.0,15.0,7.0,8.0,13.0,28.0,0.0,1031.0,65.0,288.0,479.0,274.0,28.0,1031.0,10.0,17.0,58.8,556.0,32.0,19.0,5.0,680.0,26.0,6.0,0.0,24.0,14.0,4.0,0.0,0.0,0.0,83.0,4.0,9.0,30.8
-Rafael Tolói,it ITA,DF,Atalanta,29,1990,31.0,29.0,2537.0,2.0,0.0,0.0,0.0,9.0,0.0,0.07,0.0,0.07,0.07,0.07,3.3,3.3,0.12,0.12,28.2,8.0,0.0,27.6,0.28,0.07,0.25,0.11,-1.3,-1.3,1394.0,1698.0,82.1,24390.0,8805.0,669.0,718.0,93.2,564.0,662.0,85.2,140.0,243.0,57.6,15.0,160.0,18.0,5.0,157.0,1606.0,88.0,37.0,1.0,15.0,30.0,0.0,0.0,0.0,0.0,51.0,4.0,36.0,45.0,1.6,37.0,1.0,1.0,2.0,2.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,51.0,23.0,21.0,26.0,4.0,26.0,48.0,54.2,22.0,37.0,7.0,30.0,33.0,66.0,0.0,1959.0,103.0,616.0,990.0,374.0,52.0,1959.0,8.0,16.0,50.0,1092.0,40.0,36.0,3.0,1317.0,22.0,13.0,0.0,38.0,15.0,1.0,0.0,2.0,0.0,190.0,46.0,28.0,62.2
-Takehiro Tomiyasu,jp JPN,DF,Bologna,21,1998,31.0,31.0,2715.0,2.0,0.0,0.0,0.0,4.0,0.0,0.07,0.0,0.07,0.07,0.07,2.1,2.1,0.07,0.07,30.2,4.0,0.0,25.0,0.13,0.13,0.5,0.13,-0.1,-0.1,1366.0,1677.0,81.5,24350.0,9450.0,591.0,671.0,88.1,614.0,727.0,84.5,138.0,221.0,62.4,8.0,130.0,10.0,5.0,150.0,1481.0,191.0,47.0,0.0,6.0,23.0,0.0,0.0,0.0,0.0,139.0,5.0,24.0,38.0,1.26,32.0,4.0,0.0,0.0,2.0,5.0,0.17,4.0,1.0,0.0,0.0,0.0,0.0,47.0,31.0,27.0,14.0,6.0,21.0,34.0,61.8,13.0,37.0,19.0,18.0,54.0,106.0,0.0,2015.0,166.0,751.0,1029.0,255.0,23.0,2015.0,15.0,25.0,60.0,1087.0,56.0,39.0,2.0,1175.0,30.0,10.0,0.0,31.0,13.0,2.0,0.0,0.0,1.0,155.0,91.0,64.0,58.7
-Fikayo Tomori,eng ENG,DF,Milan,22,1997,17.0,16.0,1466.0,1.0,0.0,0.0,0.0,0.0,0.0,0.06,0.0,0.06,0.06,0.06,0.8,0.8,0.05,0.05,16.3,4.0,0.0,80.0,0.25,0.2,0.25,0.15,0.2,0.2,810.0,918.0,88.2,15148.0,5662.0,290.0,315.0,92.1,425.0,452.0,94.0,80.0,120.0,66.7,0.0,32.0,0.0,0.0,41.0,872.0,42.0,23.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,2.0,4.0,7.0,5.0,0.31,5.0,0.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,28.0,18.0,17.0,9.0,2.0,8.0,14.0,57.1,6.0,32.0,20.0,12.0,18.0,61.0,1.0,1082.0,139.0,595.0,462.0,35.0,9.0,1082.0,4.0,4.0,100.0,605.0,4.0,7.0,0.0,699.0,8.0,2.0,0.0,14.0,1.0,0.0,0.0,0.0,0.0,99.0,30.0,26.0,53.6
-Sandro Tonali,it ITA,MF,Milan,20,2000,25.0,17.0,1330.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.03,0.03,14.8,3.0,1.0,30.0,0.2,0.0,0.0,0.04,-0.4,-0.4,630.0,772.0,81.6,10959.0,3255.0,282.0,326.0,86.5,267.0,304.0,87.8,64.0,98.0,65.3,16.0,66.0,14.0,1.0,84.0,734.0,34.0,19.0,0.0,5.0,26.0,12.0,7.0,4.0,0.0,3.0,4.0,15.0,36.0,2.44,26.0,7.0,1.0,0.0,2.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,0.0,28.0,19.0,14.0,13.0,1.0,13.0,28.0,46.4,15.0,18.0,5.0,13.0,22.0,18.0,0.0,907.0,37.0,238.0,490.0,190.0,9.0,907.0,6.0,14.0,42.9,467.0,22.0,23.0,3.0,590.0,15.0,8.0,0.0,18.0,17.0,0.0,0.0,0.0,0.0,99.0,6.0,9.0,40.0
-Lorenzo Tonelli,it ITA,DF,Sampdoria,30,1990,23.0,21.0,1782.0,1.0,0.0,0.0,0.0,11.0,0.0,0.05,0.0,0.05,0.05,0.05,2.0,2.0,0.1,0.1,19.8,2.0,0.0,15.4,0.1,0.08,0.5,0.16,-1.0,-1.0,742.0,913.0,81.3,15266.0,4824.0,226.0,256.0,88.3,395.0,447.0,88.4,110.0,183.0,60.1,0.0,22.0,0.0,0.0,42.0,839.0,72.0,66.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,4.0,5.0,0.25,2.0,0.0,0.0,3.0,0.0,3.0,0.15,2.0,0.0,0.0,1.0,0.0,0.0,33.0,18.0,20.0,11.0,2.0,10.0,21.0,47.6,11.0,21.0,14.0,7.0,25.0,94.0,1.0,1134.0,182.0,597.0,504.0,37.0,19.0,1134.0,4.0,4.0,100.0,555.0,2.0,1.0,0.0,639.0,5.0,5.0,0.0,29.0,26.0,1.0,0.0,1.0,0.0,88.0,42.0,39.0,51.9
-Ernesto Torregrossa,ve VEN,FW,Sampdoria,28,1992,6.0,1.0,170.0,1.0,0.0,0.0,0.0,0.0,0.0,0.53,0.0,0.53,0.53,0.53,0.4,0.4,0.21,0.21,1.9,2.0,0.0,50.0,1.06,0.25,0.5,0.1,0.6,0.6,32.0,43.0,74.4,355.0,73.0,23.0,29.0,79.3,4.0,5.0,80.0,1.0,2.0,50.0,3.0,0.0,1.0,0.0,3.0,40.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,3.18,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,2.0,0.0,2.0,4.0,0.0,4.0,1.0,1.0,0.0,68.0,1.0,4.0,22.0,42.0,8.0,68.0,3.0,5.0,60.0,34.0,3.0,1.0,1.0,49.0,8.0,5.0,0.0,7.0,1.0,3.0,0.0,0.0,0.0,4.0,5.0,8.0,38.5
-Mattéo Tramoni,fr FRA,"MF,FW",Cagliari,20,2000,6.0,0.0,74.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,11.0,16.0,68.8,128.0,54.0,9.0,11.0,81.8,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,1.0,2.0,50.0,1.0,5.0,0.0,5.0,1.0,2.0,0.0,34.0,1.0,10.0,13.0,11.0,0.0,34.0,0.0,2.0,0.0,13.0,0.0,1.0,0.0,14.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
-Chaka Traorè,ci CIV,"FW,DF",Parma,15,2004,3.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,1.29,1.29,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.26,-0.3,-0.3,6.0,10.0,60.0,64.0,25.0,5.0,8.0,62.5,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,19.0,0.0,3.0,8.0,8.0,3.0,19.0,0.0,1.0,0.0,10.0,1.0,0.0,0.0,16.0,4.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Alessandro Tripaldelli,it ITA,DF,Cagliari,21,1999,10.0,3.0,300.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,75.0,116.0,64.7,1284.0,667.0,34.0,43.0,79.1,31.0,53.0,58.5,7.0,9.0,77.8,1.0,3.0,0.0,0.0,10.0,82.0,34.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,34.0,0.0,4.0,2.0,0.6,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,6.0,5.0,6.0,2.0,5.0,6.0,83.3,1.0,6.0,1.0,5.0,3.0,15.0,0.0,168.0,13.0,59.0,67.0,44.0,4.0,168.0,1.0,7.0,14.3,70.0,6.0,3.0,2.0,77.0,4.0,1.0,0.0,9.0,4.0,0.0,0.0,0.0,0.0,14.0,7.0,10.0,41.2
-Alessandro Tuia,it ITA,DF,Benevento,30,1990,27.0,19.0,1765.0,1.0,0.0,0.0,0.0,6.0,0.0,0.05,0.0,0.05,0.05,0.05,0.8,0.8,0.04,0.04,19.6,1.0,1.0,12.5,0.05,0.13,1.0,0.1,0.2,0.2,626.0,809.0,77.4,12975.0,5152.0,189.0,214.0,88.3,340.0,396.0,85.9,91.0,173.0,52.6,3.0,38.0,3.0,0.0,44.0,732.0,72.0,29.0,1.0,7.0,3.0,0.0,0.0,0.0,0.0,42.0,5.0,8.0,7.0,0.36,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,17.0,34.0,4.0,1.0,15.0,25.0,60.0,10.0,22.0,10.0,12.0,36.0,91.0,1.0,1030.0,148.0,580.0,419.0,36.0,12.0,1030.0,3.0,4.0,75.0,490.0,4.0,2.0,0.0,595.0,9.0,4.0,0.0,26.0,10.0,0.0,0.0,2.0,0.0,61.0,29.0,20.0,59.2
-Ľubomír Tupta,sk SVK,FW,Hellas Verona,22,1998,2.0,1.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.67,0.67,0.6,1.0,0.0,50.0,1.8,0.0,0.0,0.04,0.0,0.0,2.0,2.0,100.0,17.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,1.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Iyenoma Udogie,it ITA,"DF,MF",Hellas Verona,17,2002,6.0,0.0,170.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.15,0.15,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.29,-0.3,-0.3,102.0,122.0,83.6,1456.0,416.0,65.0,71.0,91.5,30.0,36.0,83.3,5.0,7.0,71.4,1.0,8.0,0.0,0.0,7.0,112.0,10.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,2.0,1.06,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,2.0,2.0,2.0,2.0,2.0,100.0,0.0,3.0,0.0,3.0,2.0,4.0,0.0,141.0,11.0,39.0,72.0,31.0,1.0,141.0,2.0,4.0,50.0,80.0,2.0,2.0,0.0,88.0,1.0,0.0,0.0,5.0,3.0,1.0,0.0,0.0,0.0,13.0,3.0,5.0,37.5
-Samir Ujkani,xk KVX,GK,Torino,32,1988,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,27.0,85.2,622.0,503.0,1.0,1.0,100.0,12.0,12.0,100.0,9.0,12.0,75.0,0.0,0.0,0.0,0.0,0.0,19.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,29.0,26.0,29.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Kacper Urbanski,pl POL,FW,Bologna,15,2004,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,7.0,85.7,117.0,24.0,2.0,2.0,100.0,3.0,3.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,3.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,5.0,2.0,0.0,7.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Lautaro Valenti,ar ARG,DF,Parma,21,1999,11.0,6.0,499.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,271.0,336.0,80.7,5901.0,2045.0,82.0,89.0,92.1,131.0,150.0,87.3,55.0,89.0,61.8,1.0,20.0,1.0,1.0,14.0,326.0,10.0,8.0,0.0,12.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,6.0,2.0,0.36,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,7.0,2.0,1.0,6.0,15.0,40.0,9.0,11.0,3.0,8.0,11.0,30.0,0.0,408.0,59.0,230.0,167.0,15.0,2.0,408.0,2.0,2.0,100.0,243.0,7.0,4.0,0.0,281.0,4.0,0.0,0.0,5.0,7.0,0.0,0.0,0.0,0.0,26.0,7.0,0.0,100.0
-Borja Valero,es ESP,"MF,FW",Fiorentina,35,1985,20.0,4.0,491.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.3,-0.3,268.0,296.0,90.5,4306.0,1192.0,128.0,135.0,94.8,105.0,117.0,89.7,21.0,24.0,87.5,2.0,25.0,2.0,0.0,29.0,280.0,15.0,8.0,1.0,1.0,2.0,2.0,0.0,0.0,0.0,1.0,1.0,3.0,12.0,2.2,9.0,1.0,0.0,0.0,2.0,1.0,0.18,0.0,1.0,0.0,0.0,0.0,0.0,13.0,9.0,7.0,4.0,2.0,3.0,15.0,20.0,12.0,6.0,1.0,5.0,6.0,2.0,0.0,363.0,11.0,61.0,216.0,89.0,5.0,363.0,6.0,14.0,42.9,232.0,12.0,10.0,1.0,265.0,12.0,11.0,0.0,10.0,15.0,1.0,0.0,0.0,0.0,41.0,1.0,5.0,16.7
-Denis Vavro,sk SVK,DF,Lazio,24,1996,1.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,16.0,100.0,283.0,106.0,7.0,7.0,100.0,7.0,7.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,2.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,3.0,0.0,21.0,4.0,10.0,11.0,0.0,0.0,21.0,0.0,0.0,0.0,13.0,1.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Matías Vecino,uy URU,MF,Inter,28,1991,8.0,3.0,283.0,1.0,1.0,0.0,0.0,0.0,0.0,0.32,0.32,0.64,0.32,0.64,0.8,0.8,0.25,0.25,3.1,3.0,0.0,50.0,0.95,0.17,0.33,0.13,0.2,0.2,103.0,126.0,81.7,1494.0,523.0,54.0,61.0,88.5,33.0,41.0,80.5,8.0,9.0,88.9,4.0,10.0,1.0,0.0,11.0,124.0,2.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,8.0,2.54,7.0,0.0,0.0,1.0,0.0,1.0,0.32,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,5.0,0.0,5.0,7.0,1.0,6.0,4.0,3.0,0.0,151.0,6.0,38.0,83.0,30.0,6.0,151.0,1.0,2.0,50.0,85.0,3.0,3.0,1.0,115.0,0.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,42.9
-Miguel Veloso,pt POR,MF,Hellas Verona,34,1986,21.0,15.0,1316.0,2.0,2.0,2.0,2.0,1.0,0.0,0.14,0.14,0.27,0.0,0.14,1.9,0.4,0.14,0.03,14.6,2.0,2.0,20.0,0.14,0.0,0.0,0.04,0.1,-0.4,606.0,798.0,75.9,11245.0,3313.0,229.0,273.0,83.9,289.0,345.0,83.8,70.0,127.0,55.1,11.0,83.0,9.0,3.0,85.0,742.0,48.0,25.0,1.0,4.0,37.0,19.0,5.0,11.0,0.0,4.0,8.0,16.0,29.0,2.13,27.0,1.0,1.0,0.0,0.0,3.0,0.22,3.0,0.0,0.0,0.0,0.0,0.0,24.0,17.0,10.0,10.0,4.0,12.0,34.0,35.3,22.0,12.0,1.0,11.0,12.0,25.0,0.0,928.0,33.0,180.0,607.0,150.0,4.0,926.0,9.0,12.0,75.0,470.0,19.0,7.0,0.0,555.0,18.0,1.0,0.0,19.0,10.0,0.0,0.0,0.0,0.0,98.0,24.0,22.0,52.2
-Lorenzo Venuti,it ITA,DF,Fiorentina,25,1995,28.0,21.0,1757.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.05,0.05,0.0,0.05,0.2,0.2,0.01,0.01,19.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,567.0,780.0,72.7,8826.0,3860.0,318.0,367.0,86.6,195.0,268.0,72.8,39.0,95.0,41.1,15.0,52.0,18.0,11.0,60.0,644.0,133.0,10.0,0.0,0.0,56.0,0.0,0.0,0.0,0.0,123.0,3.0,21.0,29.0,1.49,25.0,1.0,0.0,0.0,1.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,0.0,24.0,11.0,14.0,7.0,3.0,14.0,28.0,50.0,14.0,18.0,3.0,15.0,17.0,24.0,0.0,944.0,42.0,223.0,400.0,327.0,20.0,944.0,7.0,25.0,28.0,495.0,36.0,22.0,3.0,570.0,20.0,12.0,0.0,10.0,26.0,1.0,0.0,0.0,1.0,77.0,8.0,12.0,40.0
-Daniele Verde,it ITA,FW,Spezia,24,1996,21.0,12.0,980.0,6.0,1.0,0.0,0.0,1.0,0.0,0.55,0.09,0.64,0.55,0.64,3.0,3.0,0.28,0.28,10.9,15.0,0.0,45.5,1.38,0.18,0.4,0.09,3.0,3.0,317.0,411.0,77.1,5309.0,858.0,172.0,200.0,86.0,113.0,144.0,78.5,30.0,58.0,51.7,10.0,14.0,9.0,0.0,30.0,375.0,36.0,3.0,1.0,6.0,45.0,18.0,8.0,2.0,0.0,15.0,0.0,5.0,26.0,2.39,22.0,2.0,1.0,1.0,0.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,4.0,10.0,40.0,6.0,5.0,0.0,5.0,9.0,7.0,0.0,500.0,7.0,57.0,188.0,260.0,57.0,500.0,7.0,17.0,41.2,338.0,28.0,14.0,12.0,377.0,14.0,7.0,0.0,2.0,12.0,2.0,0.0,0.0,0.0,45.0,0.0,0.0,0.0
-Simone Verdi,it ITA,"MF,FW",Torino,28,1992,33.0,17.0,1620.0,1.0,5.0,0.0,0.0,6.0,0.0,0.06,0.28,0.33,0.06,0.33,3.5,3.5,0.2,0.2,18.0,13.0,13.0,32.5,0.72,0.03,0.08,0.09,-2.5,-2.5,491.0,735.0,66.8,9374.0,3128.0,227.0,262.0,86.6,146.0,217.0,67.3,102.0,205.0,49.8,53.0,54.0,23.0,9.0,68.0,563.0,163.0,55.0,3.0,17.0,154.0,88.0,13.0,65.0,0.0,9.0,9.0,16.0,91.0,5.06,36.0,40.0,4.0,7.0,3.0,10.0,0.56,4.0,6.0,0.0,0.0,0.0,0.0,19.0,12.0,10.0,6.0,3.0,6.0,19.0,31.6,13.0,8.0,0.0,8.0,8.0,2.0,2.0,899.0,7.0,99.0,400.0,417.0,32.0,899.0,39.0,63.0,61.9,490.0,52.0,41.0,9.0,570.0,33.0,25.0,0.0,24.0,24.0,3.0,0.0,0.0,0.0,78.0,4.0,14.0,22.2
-Jordan Veretout,fr FRA,MF,Roma,27,1993,29.0,25.0,2053.0,10.0,2.0,5.0,5.0,4.0,0.0,0.44,0.09,0.53,0.22,0.31,8.1,4.1,0.37,0.19,22.8,14.0,2.0,40.0,0.61,0.14,0.36,0.13,1.9,0.9,1071.0,1268.0,84.5,20540.0,5885.0,408.0,451.0,90.5,508.0,563.0,90.2,140.0,209.0,67.0,25.0,124.0,9.0,1.0,144.0,1181.0,82.0,31.0,1.0,12.0,68.0,44.0,29.0,12.0,0.0,4.0,5.0,16.0,68.0,3.12,47.0,12.0,1.0,1.0,1.0,11.0,0.5,9.0,1.0,0.0,1.0,0.0,0.0,20.0,12.0,8.0,12.0,0.0,9.0,33.0,27.3,24.0,14.0,3.0,11.0,14.0,21.0,3.0,1417.0,34.0,228.0,886.0,323.0,34.0,1412.0,10.0,18.0,55.6,769.0,45.0,33.0,10.0,1052.0,19.0,9.0,0.0,32.0,11.0,2.0,0.0,1.0,0.0,113.0,12.0,13.0,48.0
-Edoardo Vergani,it ITA,FW,Bologna,19,2001,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,16.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,0.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Valerio Verre,it ITA,"FW,MF",Sampdoria,26,1994,27.0,12.0,998.0,3.0,3.0,0.0,0.0,3.0,0.0,0.27,0.27,0.54,0.27,0.54,1.9,1.9,0.17,0.17,11.1,10.0,0.0,41.7,0.9,0.13,0.3,0.08,1.1,1.1,371.0,530.0,70.0,6143.0,1972.0,188.0,232.0,81.0,126.0,176.0,71.6,38.0,66.0,57.6,19.0,48.0,21.0,2.0,70.0,501.0,26.0,10.0,1.0,4.0,20.0,9.0,4.0,2.0,0.0,3.0,3.0,19.0,43.0,3.87,31.0,5.0,2.0,2.0,2.0,8.0,0.72,5.0,0.0,2.0,1.0,0.0,0.0,11.0,7.0,2.0,7.0,2.0,4.0,19.0,21.1,15.0,14.0,2.0,12.0,9.0,3.0,0.0,673.0,7.0,72.0,350.0,263.0,28.0,673.0,19.0,32.0,59.4,403.0,32.0,23.0,3.0,514.0,42.0,23.0,0.0,25.0,21.0,1.0,0.0,0.0,0.0,67.0,18.0,25.0,41.9
-Guglielmo Vicario,it ITA,GK,Cagliari,23,1996,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,73.0,106.0,68.9,2450.0,2008.0,12.0,12.0,100.0,24.0,25.0,96.0,36.0,68.0,52.9,0.0,0.0,0.0,0.0,0.0,67.0,39.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,118.0,105.0,118.0,0.0,0.0,0.0,118.0,0.0,0.0,0.0,61.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Arturo Vidal,cl CHI,MF,Inter,33,1987,23.0,14.0,1138.0,1.0,1.0,0.0,0.0,3.0,0.0,0.08,0.08,0.16,0.08,0.16,2.4,2.4,0.19,0.19,12.6,3.0,0.0,14.3,0.24,0.05,0.33,0.12,-1.4,-1.4,645.0,753.0,85.7,11197.0,2984.0,276.0,313.0,88.2,277.0,305.0,90.8,66.0,86.0,76.7,10.0,78.0,15.0,3.0,94.0,734.0,15.0,13.0,2.0,12.0,8.0,0.0,0.0,0.0,0.0,2.0,4.0,12.0,30.0,2.37,27.0,0.0,0.0,1.0,1.0,3.0,0.24,3.0,0.0,0.0,0.0,0.0,0.0,27.0,14.0,8.0,13.0,6.0,12.0,41.0,29.3,29.0,23.0,3.0,20.0,29.0,11.0,0.0,892.0,24.0,183.0,519.0,201.0,31.0,892.0,3.0,5.0,60.0,506.0,18.0,12.0,1.0,629.0,15.0,6.0,0.0,28.0,15.0,0.0,0.0,1.0,0.0,95.0,19.0,20.0,48.7
-Ronaldo Vieira,gw GNB,MF,Hellas Verona,22,1998,4.0,2.0,226.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Luca Vignali,it ITA,DF,Spezia,24,1996,21.0,19.0,1590.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,17.7,1.0,0.0,25.0,0.06,0.0,0.0,0.03,-0.1,-0.1,922.0,1167.0,79.0,16707.0,4628.0,384.0,441.0,87.1,404.0,476.0,84.9,115.0,193.0,59.6,10.0,48.0,16.0,7.0,69.0,987.0,177.0,21.0,1.0,7.0,34.0,2.0,0.0,0.0,0.0,153.0,3.0,18.0,22.0,1.25,17.0,0.0,0.0,1.0,3.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,19.0,9.0,10.0,6.0,3.0,7.0,25.0,28.0,18.0,13.0,5.0,8.0,22.0,25.0,0.0,1318.0,53.0,470.0,569.0,289.0,13.0,1318.0,6.0,15.0,40.0,729.0,30.0,19.0,2.0,808.0,29.0,4.0,0.0,17.0,21.0,1.0,0.0,0.0,0.0,115.0,30.0,15.0,66.7
-Emanuel Vignato,it ITA,"FW,MF",Bologna,19,2000,31.0,11.0,1203.0,1.0,4.0,0.0,0.0,4.0,0.0,0.07,0.3,0.37,0.07,0.37,1.5,1.5,0.11,0.11,13.4,8.0,1.0,34.8,0.6,0.04,0.13,0.06,-0.5,-0.5,526.0,713.0,73.8,8446.0,2958.0,279.0,324.0,86.1,177.0,241.0,73.4,51.0,86.0,59.3,26.0,56.0,19.0,3.0,79.0,649.0,64.0,13.0,4.0,3.0,61.0,27.0,9.0,14.0,0.0,24.0,0.0,24.0,50.0,3.73,30.0,11.0,2.0,3.0,2.0,6.0,0.45,5.0,1.0,0.0,0.0,0.0,0.0,18.0,9.0,9.0,6.0,3.0,3.0,15.0,20.0,12.0,6.0,1.0,5.0,10.0,7.0,0.0,826.0,22.0,138.0,365.0,337.0,25.0,826.0,23.0,38.0,60.5,505.0,43.0,28.0,8.0,586.0,17.0,11.0,0.0,13.0,12.0,2.0,0.0,0.0,0.0,83.0,3.0,15.0,16.7
-Gonzalo Villar,es ESP,MF,Roma,22,1998,33.0,21.0,1859.0,0.0,1.0,0.0,0.0,7.0,0.0,0.0,0.05,0.05,0.0,0.05,0.4,0.4,0.02,0.02,20.7,1.0,0.0,10.0,0.05,0.0,0.0,0.04,-0.4,-0.4,1173.0,1307.0,89.7,19861.0,5490.0,514.0,563.0,91.3,552.0,589.0,93.7,80.0,101.0,79.2,8.0,116.0,14.0,3.0,122.0,1257.0,47.0,46.0,2.0,1.0,7.0,1.0,1.0,0.0,0.0,0.0,3.0,8.0,36.0,1.75,31.0,1.0,0.0,1.0,2.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,0.0,44.0,18.0,14.0,24.0,6.0,18.0,61.0,29.5,43.0,25.0,3.0,22.0,22.0,14.0,1.0,1491.0,29.0,288.0,965.0,256.0,18.0,1491.0,39.0,48.0,81.3,935.0,50.0,36.0,8.0,1123.0,26.0,15.0,0.0,51.0,49.0,0.0,0.0,1.0,0.0,124.0,26.0,19.0,57.8
-Nicolas Viola,it ITA,MF,Benevento,30,1989,17.0,12.0,1036.0,5.0,2.0,4.0,4.0,1.0,0.0,0.43,0.17,0.61,0.09,0.26,3.8,0.6,0.33,0.06,11.5,4.0,2.0,28.6,0.35,0.07,0.25,0.05,1.2,0.4,333.0,500.0,66.6,6070.0,2329.0,152.0,179.0,84.9,115.0,161.0,71.4,47.0,123.0,38.2,19.0,30.0,12.0,1.0,41.0,415.0,82.0,50.0,2.0,3.0,47.0,29.0,11.0,17.0,0.0,2.0,3.0,8.0,33.0,2.87,20.0,8.0,2.0,2.0,1.0,6.0,0.52,3.0,2.0,1.0,0.0,0.0,0.0,16.0,9.0,2.0,11.0,3.0,6.0,28.0,21.4,22.0,10.0,3.0,7.0,9.0,7.0,0.0,603.0,19.0,119.0,331.0,161.0,12.0,599.0,12.0,16.0,75.0,284.0,10.0,6.0,1.0,342.0,18.0,7.0,0.0,14.0,23.0,0.0,0.0,0.0,0.0,64.0,6.0,11.0,35.3
-Dušan Vlahović,rs SRB,FW,Fiorentina,20,2000,37.0,34.0,2923.0,21.0,3.0,6.0,6.0,1.0,0.0,0.65,0.09,0.74,0.46,0.55,18.5,13.8,0.57,0.43,32.5,33.0,1.0,41.3,1.02,0.19,0.45,0.17,2.5,1.2,394.0,616.0,64.0,5497.0,748.0,240.0,330.0,72.7,111.0,175.0,63.4,20.0,34.0,58.8,18.0,23.0,9.0,0.0,31.0,586.0,29.0,2.0,0.0,11.0,21.0,0.0,0.0,0.0,0.0,0.0,1.0,30.0,52.0,1.6,32.0,0.0,5.0,5.0,10.0,7.0,0.22,3.0,0.0,0.0,0.0,4.0,0.0,13.0,4.0,3.0,4.0,6.0,5.0,16.0,31.3,11.0,16.0,2.0,14.0,4.0,15.0,0.0,987.0,16.0,59.0,419.0,522.0,146.0,981.0,27.0,54.0,50.0,572.0,36.0,29.0,13.0,817.0,106.0,89.0,0.0,53.0,70.0,26.0,2.0,0.0,0.0,79.0,114.0,144.0,44.2
-Mërgim Vojvoda,xk KVX,"DF,FW",Torino,25,1995,24.0,17.0,1359.0,2.0,2.0,0.0,0.0,4.0,0.0,0.13,0.13,0.26,0.13,0.26,1.1,1.1,0.07,0.07,15.1,3.0,0.0,50.0,0.2,0.33,0.67,0.18,0.9,0.9,589.0,768.0,76.7,8829.0,3514.0,361.0,406.0,88.9,168.0,237.0,70.9,43.0,83.0,51.8,8.0,36.0,13.0,9.0,46.0,646.0,122.0,12.0,0.0,8.0,64.0,0.0,0.0,0.0,0.0,110.0,0.0,15.0,17.0,1.13,15.0,1.0,0.0,0.0,1.0,3.0,0.2,3.0,0.0,0.0,0.0,0.0,0.0,24.0,14.0,18.0,5.0,1.0,12.0,22.0,54.5,10.0,19.0,4.0,15.0,18.0,35.0,1.0,907.0,59.0,303.0,376.0,233.0,18.0,907.0,10.0,15.0,66.7,504.0,17.0,12.0,2.0,562.0,15.0,12.0,0.0,11.0,6.0,0.0,0.0,1.0,0.0,78.0,12.0,8.0,60.0
-Stefan de Vrij,nl NED,DF,Inter,28,1992,32.0,30.0,2734.0,1.0,0.0,0.0,0.0,2.0,0.0,0.03,0.0,0.03,0.03,0.03,1.2,1.2,0.04,0.04,30.4,4.0,0.0,33.3,0.13,0.08,0.25,0.1,-0.2,-0.2,1842.0,1967.0,93.6,37123.0,10864.0,475.0,520.0,91.3,1183.0,1212.0,97.6,171.0,210.0,81.4,6.0,67.0,4.0,1.0,94.0,1922.0,43.0,30.0,1.0,6.0,2.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,12.0,0.4,12.0,0.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,28.0,16.0,15.0,12.0,1.0,15.0,24.0,62.5,9.0,24.0,18.0,6.0,41.0,95.0,0.0,2193.0,223.0,1048.0,1109.0,45.0,18.0,2193.0,5.0,6.0,83.3,1313.0,19.0,9.0,1.0,1618.0,6.0,2.0,0.0,19.0,10.0,0.0,0.0,0.0,0.0,147.0,64.0,40.0,61.5
-Giacomo Vrioni,al ALB,FW,Juventus,21,1998,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,13.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,90.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,2.0,3.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Miloš Vulić,rs SRB,MF,Crotone,23,1996,25.0,13.0,1305.0,1.0,1.0,0.0,0.0,2.0,0.0,0.07,0.07,0.14,0.07,0.14,0.6,0.6,0.04,0.04,14.5,4.0,1.0,23.5,0.28,0.06,0.25,0.04,0.4,0.4,442.0,577.0,76.6,7248.0,1839.0,210.0,250.0,84.0,201.0,248.0,81.0,21.0,44.0,47.7,21.0,39.0,8.0,3.0,51.0,531.0,43.0,30.0,0.0,1.0,27.0,10.0,8.0,0.0,0.0,3.0,3.0,13.0,38.0,2.62,29.0,5.0,2.0,0.0,1.0,2.0,0.14,1.0,0.0,1.0,0.0,0.0,0.0,15.0,8.0,9.0,1.0,5.0,8.0,21.0,38.1,13.0,10.0,1.0,9.0,8.0,8.0,0.0,716.0,20.0,148.0,369.0,201.0,32.0,716.0,13.0,27.0,48.1,427.0,16.0,19.0,8.0,498.0,29.0,16.0,0.0,12.0,32.0,1.0,0.0,0.0,0.0,73.0,15.0,13.0,53.6
-Walace,br BRA,MF,Udinese,25,1995,30.0,23.0,2055.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.03,0.03,22.8,4.0,0.0,23.5,0.18,0.0,0.0,0.04,-0.7,-0.7,1027.0,1165.0,88.2,18080.0,4710.0,452.0,484.0,93.4,432.0,464.0,93.1,103.0,135.0,76.3,9.0,99.0,6.0,1.0,95.0,1128.0,32.0,25.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,7.0,5.0,22.0,27.0,1.18,22.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,50.0,23.0,28.0,19.0,3.0,21.0,60.0,35.0,39.0,36.0,3.0,33.0,34.0,23.0,0.0,1431.0,56.0,403.0,866.0,174.0,12.0,1431.0,24.0,33.0,72.7,801.0,17.0,13.0,2.0,936.0,40.0,16.0,0.0,31.0,26.0,1.0,0.0,0.0,0.0,179.0,13.0,14.0,48.1
-Sebastian Walukiewicz,pl POL,DF,Cagliari,20,2000,19.0,18.0,1618.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.06,0.06,0.0,0.06,0.7,0.7,0.04,0.04,18.0,1.0,0.0,33.3,0.06,0.0,0.0,0.22,-0.7,-0.7,702.0,823.0,85.3,12995.0,5065.0,255.0,285.0,89.5,377.0,425.0,88.7,60.0,92.0,65.2,2.0,26.0,2.0,0.0,39.0,784.0,37.0,24.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,7.0,4.0,0.22,3.0,0.0,0.0,1.0,0.0,1.0,0.06,0.0,0.0,0.0,1.0,0.0,0.0,27.0,19.0,11.0,13.0,3.0,12.0,30.0,40.0,18.0,22.0,14.0,8.0,36.0,60.0,0.0,999.0,132.0,549.0,427.0,29.0,7.0,999.0,7.0,10.0,70.0,593.0,16.0,10.0,2.0,659.0,10.0,5.0,0.0,17.0,4.0,0.0,0.0,0.0,0.0,68.0,16.0,19.0,45.7
-Maya Yoshida,jp JPN,DF,Sampdoria,31,1988,32.0,25.0,2274.0,1.0,2.0,0.0,0.0,5.0,0.0,0.04,0.08,0.12,0.04,0.12,1.8,1.8,0.07,0.07,25.3,1.0,0.0,9.1,0.04,0.09,1.0,0.17,-0.8,-0.8,1035.0,1219.0,84.9,21877.0,7569.0,298.0,339.0,87.9,583.0,623.0,93.6,147.0,236.0,62.3,7.0,53.0,1.0,0.0,55.0,1154.0,62.0,46.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,16.0,3.0,4.0,13.0,0.51,9.0,0.0,0.0,2.0,0.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,0.0,17.0,4.0,10.0,7.0,0.0,7.0,13.0,53.8,6.0,45.0,34.0,11.0,57.0,93.0,1.0,1471.0,246.0,834.0,597.0,46.0,24.0,1471.0,5.0,6.0,83.3,750.0,6.0,8.0,1.0,864.0,12.0,0.0,0.0,16.0,20.0,0.0,0.0,0.0,0.0,136.0,46.0,25.0,64.8
-Ashley Young,eng ENG,DF,Inter,35,1985,26.0,16.0,1425.0,1.0,4.0,0.0,0.0,4.0,0.0,0.06,0.25,0.32,0.06,0.32,1.3,1.2,0.08,0.07,15.8,5.0,1.0,33.3,0.32,0.07,0.2,0.08,-0.3,-0.2,542.0,679.0,79.8,8123.0,2463.0,307.0,333.0,92.2,198.0,255.0,77.6,24.0,46.0,52.2,29.0,25.0,21.0,8.0,42.0,549.0,125.0,11.0,0.0,1.0,44.0,11.0,7.0,0.0,0.0,103.0,5.0,18.0,44.0,2.78,33.0,6.0,2.0,1.0,2.0,4.0,0.25,4.0,0.0,0.0,0.0,0.0,0.0,15.0,7.0,8.0,4.0,3.0,3.0,13.0,23.1,10.0,13.0,0.0,13.0,6.0,31.0,0.0,795.0,33.0,221.0,280.0,299.0,27.0,795.0,5.0,13.0,38.5,389.0,31.0,16.0,6.0,493.0,11.0,3.0,0.0,13.0,15.0,3.0,0.0,1.0,0.0,55.0,3.0,10.0,23.1
-Mattia Zaccagni,it ITA,MF,Hellas Verona,25,1995,36.0,33.0,2609.0,5.0,5.0,1.0,1.0,6.0,0.0,0.17,0.17,0.34,0.14,0.31,3.2,2.4,0.11,0.09,29.0,12.0,1.0,40.0,0.41,0.13,0.33,0.08,1.8,1.6,648.0,943.0,68.7,9785.0,2666.0,378.0,472.0,80.1,182.0,276.0,65.9,52.0,83.0,62.7,38.0,44.0,46.0,9.0,112.0,914.0,23.0,11.0,2.0,14.0,83.0,0.0,0.0,0.0,0.0,12.0,6.0,31.0,88.0,3.09,63.0,3.0,3.0,4.0,14.0,12.0,0.42,11.0,0.0,0.0,0.0,1.0,0.0,27.0,13.0,8.0,11.0,8.0,8.0,25.0,32.0,17.0,28.0,4.0,24.0,27.0,13.0,1.0,1266.0,21.0,137.0,510.0,652.0,100.0,1265.0,60.0,102.0,58.8,860.0,118.0,69.0,46.0,984.0,74.0,64.0,0.0,36.0,109.0,11.0,1.0,0.0,0.0,148.0,47.0,57.0,45.2
-Vasilios Zagaritis,gr GRE,DF,Parma,19,2001,2.0,0.0,65.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,50.0,82.0,528.0,198.0,31.0,32.0,96.9,9.0,11.0,81.8,1.0,4.0,25.0,1.0,3.0,1.0,0.0,5.0,45.0,5.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,1.0,1.38,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,57.0,0.0,10.0,23.0,24.0,1.0,57.0,2.0,3.0,66.7,39.0,2.0,3.0,0.0,40.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Miha Zajc,si SVN,MF,Genoa,26,1994,31.0,22.0,1863.0,1.0,3.0,0.0,0.0,4.0,0.0,0.05,0.14,0.19,0.05,0.19,1.8,1.8,0.08,0.08,20.7,4.0,3.0,21.1,0.19,0.05,0.25,0.09,-0.8,-0.8,851.0,1071.0,79.5,13795.0,2984.0,425.0,464.0,91.6,297.0,367.0,80.9,77.0,140.0,55.0,19.0,63.0,17.0,2.0,96.0,973.0,88.0,28.0,1.0,6.0,77.0,56.0,18.0,28.0,0.0,2.0,10.0,18.0,49.0,2.37,29.0,12.0,4.0,3.0,0.0,4.0,0.19,3.0,1.0,0.0,0.0,0.0,0.0,22.0,14.0,9.0,10.0,3.0,13.0,39.0,33.3,26.0,30.0,4.0,26.0,27.0,19.0,0.0,1300.0,24.0,219.0,735.0,365.0,34.0,1300.0,27.0,46.0,58.7,772.0,42.0,31.0,7.0,892.0,49.0,20.0,0.0,27.0,27.0,3.0,0.0,0.0,0.0,107.0,18.0,26.0,40.9
-Nicola Zalewski,pl POL,MF,Roma,18,2002,1.0,0.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.18,8.18,0.0,8.18,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,7.0,85.7,108.0,59.0,2.0,3.0,66.7,4.0,4.0,100.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,3.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,16.36,1.0,0.0,0.0,0.0,1.0,1.0,8.18,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,4.0,3.0,0.0,8.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Niccolò Zanellato,it ITA,MF,Crotone,22,1998,27.0,18.0,1637.0,1.0,1.0,0.0,0.0,3.0,0.0,0.05,0.05,0.11,0.05,0.11,0.4,0.4,0.02,0.02,18.2,1.0,0.0,20.0,0.05,0.2,1.0,0.08,0.6,0.6,607.0,764.0,79.5,11180.0,2751.0,238.0,290.0,82.1,295.0,337.0,87.5,62.0,95.0,65.3,9.0,48.0,10.0,3.0,65.0,734.0,27.0,18.0,1.0,5.0,9.0,8.0,1.0,0.0,0.0,1.0,3.0,13.0,24.0,1.32,21.0,2.0,0.0,0.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,0.0,24.0,14.0,16.0,6.0,2.0,13.0,36.0,36.1,23.0,19.0,5.0,14.0,16.0,12.0,2.0,882.0,40.0,221.0,525.0,150.0,9.0,882.0,15.0,20.0,75.0,463.0,9.0,8.0,0.0,609.0,17.0,11.0,0.0,30.0,34.0,0.0,0.0,0.0,0.0,102.0,19.0,21.0,47.5
-Cristián Zapata,co COL,DF,Genoa,33,1986,12.0,12.0,968.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,10.8,2.0,0.0,66.7,0.19,0.0,0.0,0.06,-0.2,-0.2,429.0,494.0,86.8,8240.0,2552.0,137.0,153.0,89.5,240.0,255.0,94.1,45.0,67.0,67.2,1.0,6.0,1.0,0.0,10.0,465.0,27.0,24.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,4.0,0.37,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,12.0,11.0,7.0,0.0,10.0,14.0,71.4,4.0,15.0,11.0,4.0,15.0,56.0,0.0,607.0,114.0,368.0,229.0,13.0,5.0,607.0,1.0,2.0,50.0,347.0,2.0,1.0,0.0,377.0,5.0,2.0,0.0,6.0,5.0,0.0,0.0,1.0,0.0,45.0,27.0,13.0,67.5
-Duván Zapata,co COL,FW,Atalanta,29,1991,37.0,29.0,2379.0,15.0,9.0,1.0,1.0,0.0,0.0,0.57,0.34,0.91,0.53,0.87,15.2,14.4,0.57,0.54,26.4,38.0,0.0,38.8,1.44,0.14,0.37,0.15,-0.2,-0.4,614.0,817.0,75.2,8101.0,976.0,394.0,465.0,84.7,163.0,210.0,77.6,25.0,43.0,58.1,42.0,16.0,23.0,3.0,48.0,758.0,56.0,1.0,0.0,5.0,48.0,0.0,0.0,0.0,0.0,5.0,3.0,41.0,105.0,3.97,80.0,1.0,6.0,10.0,8.0,15.0,0.57,13.0,0.0,0.0,0.0,2.0,0.0,12.0,5.0,2.0,3.0,7.0,4.0,13.0,30.8,9.0,19.0,5.0,14.0,6.0,19.0,0.0,1214.0,24.0,57.0,374.0,798.0,221.0,1213.0,34.0,85.0,40.0,836.0,88.0,46.0,56.0,1009.0,114.0,65.0,0.0,29.0,49.0,21.0,1.0,0.0,0.0,69.0,48.0,52.0,48.0
-Gabriele Zappa,it ITA,DF,Cagliari,20,1999,34.0,27.0,2395.0,0.0,4.0,0.0,0.0,3.0,0.0,0.0,0.15,0.15,0.0,0.15,0.6,0.6,0.02,0.02,26.6,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.6,-0.6,1003.0,1313.0,76.4,15015.0,6281.0,563.0,642.0,87.7,360.0,465.0,77.4,52.0,132.0,39.4,28.0,69.0,36.0,14.0,108.0,1059.0,252.0,20.0,0.0,1.0,69.0,0.0,0.0,0.0,0.0,232.0,2.0,34.0,64.0,2.4,52.0,4.0,5.0,3.0,0.0,8.0,0.3,6.0,1.0,1.0,0.0,0.0,0.0,34.0,17.0,16.0,15.0,3.0,22.0,49.0,44.9,27.0,36.0,4.0,32.0,24.0,50.0,0.0,1550.0,76.0,452.0,605.0,507.0,41.0,1550.0,19.0,38.0,50.0,767.0,49.0,49.0,8.0,895.0,22.0,14.0,0.0,25.0,11.0,1.0,0.0,0.0,0.0,126.0,10.0,24.0,29.4
-Davide Zappacosta,it ITA,DF,Genoa,28,1992,25.0,23.0,2045.0,4.0,2.0,0.0,0.0,3.0,0.0,0.18,0.09,0.26,0.18,0.26,2.6,2.6,0.11,0.11,22.7,13.0,0.0,31.7,0.57,0.1,0.31,0.06,1.4,1.4,859.0,1090.0,78.8,12506.0,3644.0,500.0,551.0,90.7,278.0,345.0,80.6,43.0,94.0,45.7,12.0,25.0,17.0,9.0,38.0,870.0,216.0,9.0,0.0,2.0,83.0,3.0,1.0,1.0,0.0,204.0,4.0,44.0,50.0,2.22,29.0,2.0,10.0,8.0,1.0,11.0,0.49,4.0,0.0,3.0,4.0,0.0,0.0,33.0,16.0,15.0,13.0,5.0,15.0,30.0,50.0,15.0,17.0,1.0,16.0,18.0,41.0,0.0,1375.0,59.0,337.0,524.0,529.0,67.0,1375.0,32.0,77.0,41.6,780.0,88.0,47.0,29.0,835.0,42.0,22.0,0.0,23.0,19.0,8.0,0.0,0.0,0.0,119.0,14.0,11.0,56.0
-Simone Zaza,it ITA,FW,Torino,29,1991,29.0,15.0,1491.0,6.0,0.0,0.0,0.0,4.0,0.0,0.36,0.0,0.36,0.36,0.36,7.5,7.5,0.46,0.46,16.6,16.0,2.0,28.1,0.97,0.11,0.38,0.13,-1.5,-1.5,231.0,325.0,71.1,3317.0,379.0,120.0,153.0,78.4,75.0,98.0,76.5,14.0,22.0,63.6,13.0,12.0,5.0,1.0,12.0,312.0,9.0,0.0,1.0,3.0,5.0,0.0,0.0,0.0,0.0,4.0,4.0,12.0,38.0,2.29,22.0,0.0,0.0,8.0,8.0,3.0,0.18,1.0,0.0,0.0,1.0,1.0,0.0,15.0,9.0,4.0,6.0,5.0,6.0,20.0,30.0,14.0,14.0,0.0,14.0,3.0,5.0,1.0,530.0,6.0,36.0,225.0,274.0,85.0,530.0,7.0,18.0,38.9,278.0,8.0,8.0,5.0,402.0,55.0,21.0,0.0,36.0,31.0,14.0,0.0,0.0,0.0,32.0,44.0,63.0,41.1
-Marvin Zeegelaar,nl NED,DF,Udinese,29,1990,24.0,23.0,1740.0,1.0,0.0,0.0,0.0,6.0,0.0,0.05,0.0,0.05,0.05,0.05,1.6,1.6,0.08,0.08,19.3,1.0,0.0,11.1,0.05,0.11,1.0,0.18,-0.6,-0.6,585.0,771.0,75.9,8962.0,3167.0,316.0,378.0,83.6,219.0,274.0,79.9,32.0,73.0,43.8,9.0,36.0,12.0,7.0,70.0,675.0,93.0,6.0,0.0,1.0,45.0,0.0,0.0,0.0,0.0,87.0,3.0,16.0,30.0,1.55,20.0,0.0,4.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,18.0,23.0,16.0,1.0,20.0,39.0,51.3,19.0,21.0,9.0,12.0,24.0,43.0,0.0,975.0,60.0,266.0,431.0,289.0,29.0,975.0,21.0,33.0,63.6,497.0,35.0,20.0,4.0,586.0,27.0,15.0,0.0,39.0,6.0,4.0,0.0,1.0,0.0,68.0,33.0,28.0,54.1
-Piotr Zieliński,pl POL,MF,Napoli,26,1994,36.0,32.0,2523.0,8.0,10.0,0.0,0.0,2.0,0.0,0.29,0.36,0.64,0.29,0.64,5.3,5.3,0.19,0.19,28.0,25.0,0.0,41.7,0.89,0.13,0.32,0.09,2.7,2.7,1031.0,1247.0,82.7,15663.0,3884.0,568.0,635.0,89.4,307.0,362.0,84.8,89.0,141.0,63.1,56.0,109.0,23.0,2.0,154.0,1170.0,70.0,20.0,3.0,14.0,65.0,33.0,6.0,22.0,0.0,3.0,7.0,19.0,117.0,4.17,81.0,15.0,9.0,6.0,6.0,25.0,0.89,17.0,2.0,4.0,0.0,2.0,0.0,18.0,10.0,8.0,7.0,3.0,7.0,20.0,35.0,13.0,23.0,4.0,19.0,18.0,12.0,0.0,1500.0,25.0,148.0,735.0,643.0,85.0,1500.0,58.0,95.0,61.1,972.0,93.0,76.0,15.0,1191.0,50.0,31.0,0.0,12.0,45.0,7.0,0.0,0.0,0.0,108.0,4.0,8.0,33.3
-Joshua Zirkzee,nl NED,"FW,MF",Parma,19,2001,4.0,0.0,113.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,21.0,34.0,61.8,232.0,83.0,16.0,20.0,80.0,4.0,10.0,40.0,0.0,0.0,0.0,1.0,3.0,2.0,0.0,2.0,32.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.19,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,3.0,33.3,2.0,1.0,1.0,0.0,0.0,1.0,0.0,46.0,2.0,6.0,22.0,18.0,4.0,46.0,4.0,4.0,100.0,21.0,1.0,0.0,1.0,26.0,4.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,7.0,1.0,9.0,10.0
-Jeroen Zoet,nl NED,GK,Spezia,29,1991,7.0,7.0,603.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,229.0,307.0,74.6,6346.0,4255.0,43.0,44.0,97.7,98.0,101.0,97.0,88.0,161.0,54.7,0.0,4.0,0.0,0.0,0.0,252.0,54.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,2.0,328.0,247.0,324.0,4.0,0.0,0.0,328.0,0.0,0.0,0.0,210.0,0.0,0.0,0.0,184.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,1.0,0.0,8.0,2.0,0.0,100.0
-Filip Đuričić,rs SRB,"MF,FW",Sassuolo,28,1992,32.0,27.0,2079.0,5.0,4.0,1.0,1.0,5.0,0.0,0.22,0.17,0.39,0.17,0.35,6.2,5.4,0.27,0.23,23.1,13.0,0.0,24.1,0.56,0.07,0.31,0.1,-1.2,-1.4,701.0,901.0,77.8,9567.0,2200.0,417.0,487.0,85.6,213.0,249.0,85.5,28.0,39.0,71.8,55.0,46.0,35.0,2.0,96.0,882.0,15.0,3.0,2.0,1.0,12.0,1.0,0.0,0.0,0.0,8.0,4.0,40.0,108.0,4.67,85.0,1.0,7.0,6.0,6.0,13.0,0.56,9.0,0.0,1.0,2.0,1.0,0.0,32.0,23.0,6.0,16.0,10.0,12.0,30.0,40.0,18.0,20.0,2.0,18.0,9.0,12.0,0.0,1171.0,14.0,106.0,485.0,597.0,94.0,1170.0,36.0,58.0,62.1,688.0,87.0,66.0,18.0,929.0,53.0,47.0,0.0,52.0,39.0,5.0,0.0,0.0,0.0,90.0,13.0,35.0,27.1
+player,nationality,position,team,age,birth_year,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,minutes_90s,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
+"Gennaro Acampora,it ITA,""MF,FW"",Spezia,26,1994,14.0,2.0,441.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,4.9,0.0,1.0,0.0,0.0,0.0,0.0,0.03,-0.3,-0.3,185.0,223.0,83.0,3437.0,574.0,79.0,86.0,91.9,83.0,100.0,83.0,19.0,27.0,70.4,1.0,20.0,2.0,0.0,28.0,216.0,5.0,4.0,0.0,6.0,7.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,8.0,1.63,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,1.0,4.0,1.0,4.0,1.0,3.0,4.0,4.0,0.0,282.0,8.0,39.0,147.0,102.0,4.0,282.0,187.0,15.0,14.0,1.0,206.0,12.0,12.0,0.0,10.0,12.0,1.0,0.0,0.0,0.0,31.0,3.0,5.0,37.5"
+Francesco Acerbi,it ITA,DF,Lazio,32,1988,32.0,32.0,2813.0,0.0,1.0,0.0,0.0,9.0,1.0,0.0,0.03,0.03,0.0,0.03,1.1,1.1,0.03,0.03,31.3,0.0,0.0,0.0,0.0,0.0,0.0,0.12,-1.1,-1.1,1854.0,2097.0,88.4,35641.0,11589.0,703.0,767.0,91.7,880.0,930.0,94.6,248.0,352.0,70.5,10.0,110.0,21.0,10.0,141.0,1974.0,119.0,73.0,0.0,24.0,32.0,0.0,0.0,0.0,0.0,22.0,4.0,11.0,31.0,0.99,26.0,1.0,2.0,0.0,5.0,0.16,5.0,0.0,0.0,0.0,0.0,51.0,32.0,34.0,13.0,4.0,24.0,15.0,9.0,76.0,121.0,2.0,2430.0,309.0,1122.0,1136.0,191.0,22.0,2430.0,1410.0,41.0,42.0,2.0,1565.0,21.0,10.0,1.0,31.0,24.0,2.0,0.0,0.0,0.0,227.0,62.0,25.0,71.3
+Andrea Adorante,it ITA,FW,Parma,20,2000,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,18.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Lucien Agoume,fr FRA,MF,Spezia,18,2002,12.0,9.0,800.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,434.0,487.0,89.1,7835.0,1942.0,191.0,205.0,93.2,187.0,205.0,91.2,47.0,59.0,79.7,2.0,39.0,3.0,1.0,46.0,472.0,12.0,11.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,1.0,3.0,2.0,7.0,0.79,7.0,0.0,0.0,0.0,2.0,0.23,2.0,0.0,0.0,0.0,0.0,18.0,10.0,11.0,7.0,0.0,10.0,5.0,5.0,15.0,10.0,0.0,563.0,26.0,165.0,338.0,68.0,1.0,563.0,308.0,6.0,6.0,1.0,368.0,9.0,8.0,0.0,17.0,8.0,0.0,0.0,0.0,0.0,75.0,12.0,2.0,85.7
+Kevin Agudelo,co COL,FW,Spezia,21,1998,29.0,14.0,1356.0,1.0,2.0,0.0,0.0,4.0,0.0,0.07,0.13,0.2,0.07,0.2,1.5,1.5,0.1,0.1,15.1,4.0,0.0,21.1,0.27,0.05,0.25,0.08,-0.5,-0.5,228.0,328.0,69.5,3824.0,848.0,114.0,141.0,80.9,86.0,110.0,78.2,22.0,36.0,61.1,12.0,27.0,10.0,0.0,43.0,310.0,16.0,0.0,1.0,1.0,11.0,2.0,0.0,0.0,0.0,2.0,2.0,25.0,38.0,2.52,19.0,1.0,8.0,4.0,7.0,0.46,5.0,1.0,1.0,0.0,0.0,39.0,28.0,9.0,15.0,15.0,30.0,0.0,30.0,10.0,2.0,0.0,544.0,2.0,58.0,233.0,271.0,56.0,544.0,325.0,50.0,35.0,24.0,357.0,35.0,25.0,0.0,20.0,32.0,2.0,0.0,0.0,0.0,60.0,16.0,34.0,32.0
+Jean-Daniel Akpa-Akpro,ci CIV,MF,Lazio,27,1992,32.0,6.0,1056.0,0.0,1.0,0.0,0.0,9.0,0.0,0.0,0.09,0.09,0.0,0.09,1.2,1.2,0.1,0.1,11.7,1.0,0.0,8.3,0.09,0.0,0.0,0.1,-1.2,-1.2,293.0,361.0,81.2,4459.0,907.0,149.0,181.0,82.3,113.0,124.0,91.1,15.0,22.0,68.2,12.0,20.0,7.0,0.0,26.0,340.0,20.0,5.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,12.0,1.0,11.0,19.0,1.62,16.0,0.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,38.0,25.0,13.0,22.0,3.0,24.0,6.0,18.0,18.0,13.0,0.0,522.0,20.0,116.0,289.0,132.0,21.0,522.0,270.0,11.0,11.0,3.0,282.0,26.0,13.0,0.0,31.0,12.0,0.0,0.0,0.0,0.0,70.0,9.0,9.0,50.0
+Luis Alberto,es ESP,MF,Lazio,27,1992,34.0,33.0,2618.0,9.0,2.0,0.0,0.0,5.0,0.0,0.31,0.07,0.38,0.31,0.38,5.1,5.0,0.18,0.17,29.1,29.0,3.0,42.0,1.0,0.13,0.31,0.07,3.9,4.0,1493.0,1946.0,76.7,25097.0,9846.0,712.0,808.0,88.1,575.0,702.0,81.9,157.0,308.0,51.0,80.0,282.0,83.0,6.0,301.0,1664.0,266.0,71.0,9.0,14.0,150.0,119.0,63.0,38.0,1.0,22.0,16.0,43.0,157.0,5.4,118.0,25.0,4.0,2.0,7.0,0.24,6.0,0.0,0.0,0.0,0.0,43.0,24.0,15.0,19.0,9.0,41.0,2.0,39.0,13.0,11.0,1.0,2254.0,14.0,240.0,1244.0,817.0,63.0,2254.0,1344.0,143.0,124.0,19.0,1577.0,46.0,39.0,0.0,19.0,36.0,2.0,0.0,0.0,0.0,209.0,10.0,12.0,45.5
+Bruno Alves,pt POR,DF,Parma,38,1981,19.0,18.0,1632.0,1.0,0.0,0.0,0.0,3.0,0.0,0.06,0.0,0.06,0.06,0.06,0.4,0.4,0.02,0.02,18.1,3.0,3.0,30.0,0.17,0.1,0.33,0.04,0.6,0.6,790.0,931.0,84.9,19031.0,7295.0,142.0,160.0,88.8,456.0,499.0,91.4,190.0,256.0,74.2,2.0,43.0,3.0,1.0,50.0,894.0,33.0,29.0,0.0,11.0,8.0,0.0,0.0,0.0,0.0,2.0,4.0,4.0,9.0,0.5,7.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,10.0,10.0,3.0,0.0,17.0,12.0,5.0,26.0,81.0,0.0,1096.0,173.0,611.0,446.0,41.0,17.0,1096.0,636.0,0.0,4.0,1.0,721.0,1.0,1.0,0.0,20.0,9.0,1.0,0.0,0.0,0.0,74.0,43.0,5.0,89.6
+Wisdom Amey,it ITA,DF,Bologna,14,2005,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,100.0,102.0,7.0,2.0,2.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,45.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,5.0,2.0,0.0,7.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Sofyan Amrabat,ma MAR,MF,Fiorentina,23,1996,31.0,28.0,2441.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,27.1,3.0,0.0,30.0,0.11,0.0,0.0,0.04,-0.4,-0.4,1210.0,1378.0,87.8,23407.0,5627.0,469.0,531.0,88.3,540.0,582.0,92.8,179.0,204.0,87.7,13.0,143.0,11.0,4.0,151.0,1314.0,61.0,38.0,0.0,33.0,16.0,0.0,0.0,0.0,0.0,5.0,3.0,18.0,36.0,1.33,35.0,0.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,39.0,22.0,11.0,24.0,4.0,30.0,5.0,25.0,23.0,12.0,0.0,1603.0,33.0,270.0,1091.0,266.0,12.0,1603.0,1051.0,38.0,33.0,3.0,1143.0,33.0,48.0,0.0,59.0,44.0,0.0,0.0,0.0,0.0,188.0,18.0,26.0,40.9
+Djavan Anderson,nl NED,DF,Lazio,25,1995,3.0,1.0,72.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,32.0,71.9,265.0,37.0,15.0,19.0,78.9,7.0,8.0,87.5,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,7.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,37.0,1.0,7.0,15.0,15.0,0.0,37.0,20.0,2.0,0.0,0.0,20.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Nícolas Andrade,br BRA,GK,Udinese,32,1988,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,40.0,85.0,978.0,673.0,6.0,6.0,100.0,19.0,19.0,100.0,9.0,15.0,60.0,0.0,0.0,0.0,0.0,0.0,29.0,11.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,36.0,40.0,0.0,0.0,0.0,40.0,23.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Davide Angelo Ghislandi,it ITA,DF,Atalanta,19,2001,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,100.0,51.0,9.0,1.0,1.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,1.0,1.0,2.0,0.0,4.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Philip Ankhrah,gh GHA,MF,Hellas Verona,17,2002,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Cristian Ansaldi,ar ARG,""DF,FW"",Torino,33,1986,31.0,20.0,1947.0,1.0,6.0,1.0,1.0,1.0,0.0,0.05,0.28,0.32,0.0,0.28,1.9,1.1,0.09,0.05,21.6,6.0,4.0,35.3,0.28,0.0,0.0,0.07,-0.9,-1.1,674.0,997.0,67.6,12959.0,5276.0,308.0,350.0,88.0,242.0,345.0,70.1,106.0,248.0,42.7,36.0,64.0,40.0,34.0,66.0,757.0,239.0,32.0,0.0,26.0,177.0,22.0,3.0,16.0,0.0,185.0,1.0,28.0,72.0,3.33,43.0,15.0,4.0,3.0,8.0,0.37,7.0,0.0,0.0,0.0,0.0,48.0,33.0,25.0,14.0,9.0,21.0,7.0,14.0,16.0,38.0,0.0,1205.0,60.0,305.0,481.0,435.0,31.0,1204.0,645.0,91.0,58.0,8.0,658.0,26.0,17.0,0.0,24.0,22.0,0.0,0.0,1.0,0.0,99.0,7.0,14.0,33.3"
+Valentin Antov,bg BUL,DF,Bologna,19,2000,5.0,2.0,232.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,108.0,122.0,88.5,2181.0,851.0,41.0,42.0,97.6,51.0,55.0,92.7,16.0,25.0,64.0,1.0,4.0,0.0,0.0,6.0,109.0,13.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,6.0,5.0,1.0,4.0,13.0,0.0,154.0,30.0,101.0,51.0,2.0,0.0,154.0,71.0,1.0,1.0,0.0,93.0,2.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,11.0,3.0,5.0,37.5
+Nicolò Armini,it ITA,DF,Lazio,19,2001,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,93.0,31.0,2.0,3.0,66.7,0.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,1.0,3.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,3.0,1.0,0.0,5.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Tolgay Arslan,de GER,MF,Udinese,29,1990,30.0,25.0,1818.0,3.0,0.0,0.0,0.0,9.0,0.0,0.15,0.0,0.15,0.15,0.15,0.9,0.9,0.04,0.04,20.2,6.0,0.0,27.3,0.3,0.14,0.5,0.04,2.1,2.1,749.0,890.0,84.2,12827.0,2917.0,341.0,380.0,89.7,325.0,363.0,89.5,62.0,97.0,63.9,9.0,73.0,12.0,2.0,80.0,853.0,31.0,26.0,1.0,10.0,13.0,2.0,1.0,1.0,0.0,3.0,6.0,12.0,35.0,1.73,26.0,1.0,1.0,4.0,2.0,0.1,1.0,0.0,0.0,0.0,0.0,52.0,32.0,24.0,24.0,4.0,22.0,2.0,20.0,22.0,15.0,1.0,1095.0,23.0,227.0,652.0,234.0,19.0,1095.0,665.0,48.0,45.0,6.0,734.0,22.0,22.0,0.0,38.0,45.0,0.0,0.0,1.0,0.0,139.0,11.0,9.0,55.0
+"Kwadwo Asamoah,gh GHA,""DF,MF"",Cagliari,31,1988,9.0,1.0,224.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.5,1.0,0.0,50.0,0.4,0.0,0.0,0.04,-0.1,-0.1,95.0,114.0,83.3,1746.0,456.0,43.0,48.0,89.6,38.0,43.0,88.4,12.0,17.0,70.6,0.0,10.0,2.0,0.0,6.0,102.0,12.0,1.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,10.0,0.0,1.0,3.0,1.2,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,5.0,1.0,4.0,4.0,2.0,1.0,136.0,8.0,34.0,70.0,35.0,1.0,136.0,72.0,4.0,5.0,0.0,77.0,1.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,20.0,2.0,1.0,66.7"
+Kristoffer Askildsen,no NOR,MF,Sampdoria,19,2001,6.0,0.0,95.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,10.0,19.0,52.6,146.0,67.0,8.0,12.0,66.7,1.0,2.0,50.0,1.0,3.0,33.3,0.0,1.0,0.0,0.0,1.0,19.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,3.0,3.0,0.0,31.0,2.0,13.0,13.0,5.0,1.0,31.0,15.0,1.0,1.0,0.0,16.0,3.0,3.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,1.0,50.0
+Emil Audero,it ITA,GK,Sampdoria,23,1997,37.0,37.0,3330.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,877.0,1247.0,70.3,26471.0,19006.0,124.0,125.0,99.2,387.0,394.0,98.2,364.0,724.0,50.3,1.0,12.0,0.0,0.0,0.0,873.0,372.0,113.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,6.0,0.16,4.0,2.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,16.0,0.0,1341.0,1180.0,1336.0,5.0,1.0,1.0,1341.0,709.0,0.0,0.0,0.0,572.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,61.0,6.0,0.0,100.0
+Tommaso Augello,it ITA,DF,Sampdoria,25,1994,37.0,37.0,3216.0,1.0,3.0,0.0,0.0,2.0,1.0,0.03,0.08,0.11,0.03,0.11,0.3,0.3,0.01,0.01,35.7,2.0,0.0,25.0,0.06,0.13,0.5,0.04,0.7,0.7,1564.0,2061.0,75.9,24859.0,10136.0,807.0,916.0,88.1,628.0,807.0,77.8,97.0,228.0,42.5,29.0,100.0,40.0,25.0,157.0,1701.0,357.0,42.0,0.0,5.0,148.0,0.0,0.0,0.0,0.0,315.0,3.0,62.0,56.0,1.57,49.0,3.0,1.0,0.0,5.0,0.14,5.0,0.0,0.0,0.0,0.0,42.0,30.0,27.0,10.0,5.0,22.0,2.0,20.0,32.0,76.0,1.0,2330.0,109.0,708.0,1016.0,632.0,31.0,2330.0,1215.0,105.0,72.0,7.0,1409.0,43.0,16.0,0.0,13.0,25.0,2.0,0.0,0.0,0.0,214.0,41.0,30.0,57.7
+Kaan Ayhan,tr TUR,DF,Sassuolo,25,1994,19.0,7.0,796.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.05,0.05,8.8,0.0,2.0,0.0,0.0,0.0,0.0,0.1,-0.5,-0.5,515.0,567.0,90.8,8573.0,2411.0,234.0,246.0,95.1,251.0,268.0,93.7,26.0,41.0,63.4,0.0,51.0,2.0,0.0,41.0,530.0,36.0,8.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,28.0,1.0,3.0,4.0,0.45,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,8.0,5.0,2.0,9.0,5.0,4.0,16.0,33.0,0.0,651.0,68.0,219.0,358.0,77.0,4.0,651.0,394.0,19.0,9.0,1.0,466.0,1.0,3.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,37.0,12.0,22.0,35.3
+Milan Badelj,hr CRO,MF,Genoa,31,1989,30.0,29.0,2408.0,1.0,4.0,0.0,0.0,7.0,0.0,0.04,0.15,0.19,0.04,0.19,0.8,0.8,0.03,0.03,26.8,4.0,0.0,23.5,0.15,0.06,0.25,0.05,0.2,0.2,1295.0,1597.0,81.1,23532.0,7988.0,597.0,674.0,88.6,492.0,585.0,84.1,182.0,261.0,69.7,29.0,149.0,25.0,2.0,170.0,1520.0,70.0,54.0,3.0,26.0,15.0,2.0,1.0,1.0,0.0,3.0,7.0,25.0,62.0,2.32,55.0,1.0,1.0,3.0,8.0,0.3,7.0,0.0,0.0,1.0,0.0,56.0,27.0,27.0,22.0,7.0,51.0,10.0,41.0,87.0,45.0,1.0,1905.0,78.0,478.0,1177.0,273.0,13.0,1905.0,1036.0,23.0,26.0,1.0,1193.0,31.0,22.0,0.0,34.0,32.0,1.0,1.0,0.0,0.0,228.0,16.0,12.0,57.1
+Tiemoué Bakayoko,fr FRA,MF,Napoli,25,1994,32.0,23.0,1964.0,2.0,1.0,0.0,0.0,6.0,1.0,0.09,0.05,0.14,0.09,0.14,1.1,1.1,0.05,0.05,21.8,4.0,0.0,25.0,0.18,0.13,0.5,0.07,0.9,0.9,1080.0,1228.0,87.9,17505.0,4453.0,524.0,590.0,88.8,442.0,465.0,95.1,82.0,103.0,79.6,12.0,87.0,8.0,0.0,99.0,1198.0,27.0,27.0,1.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,16.0,34.0,1.56,27.0,0.0,2.0,3.0,4.0,0.18,2.0,0.0,0.0,1.0,1.0,69.0,41.0,21.0,41.0,7.0,24.0,2.0,22.0,36.0,13.0,2.0,1449.0,36.0,296.0,973.0,187.0,16.0,1449.0,804.0,15.0,18.0,1.0,1063.0,27.0,20.0,1.0,36.0,52.0,1.0,1.0,0.0,0.0,129.0,44.0,34.0,56.4
+Keita Baldé,sn SEN,FW,Sampdoria,25,1995,25.0,12.0,1197.0,7.0,1.0,0.0,0.0,4.0,1.0,0.53,0.08,0.6,0.53,0.6,5.7,5.7,0.42,0.42,13.3,19.0,0.0,43.2,1.43,0.16,0.37,0.13,1.3,1.3,230.0,315.0,73.0,3100.0,526.0,135.0,169.0,79.9,74.0,96.0,77.1,7.0,18.0,38.9,21.0,14.0,6.0,0.0,26.0,292.0,23.0,1.0,0.0,0.0,8.0,2.0,2.0,0.0,0.0,2.0,0.0,9.0,45.0,3.38,23.0,0.0,7.0,8.0,6.0,0.45,1.0,0.0,1.0,3.0,0.0,9.0,6.0,2.0,6.0,1.0,10.0,1.0,9.0,0.0,3.0,0.0,473.0,4.0,21.0,189.0,270.0,83.0,473.0,302.0,40.0,26.0,23.0,400.0,45.0,15.0,0.0,32.0,35.0,4.0,1.0,1.0,0.0,25.0,20.0,41.0,32.8
+Botond Balogh,hu HUN,DF,Parma,18,2002,3.0,1.0,165.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,59.0,79.0,74.7,1277.0,419.0,12.0,16.0,75.0,35.0,42.0,83.3,11.0,18.0,61.1,0.0,0.0,0.0,0.0,2.0,75.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,9.0,0.0,0.0,4.0,3.0,1.0,2.0,8.0,0.0,105.0,13.0,62.0,40.0,3.0,1.0,105.0,63.0,1.0,1.0,0.0,64.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,40.0
+Mattia Bani,it ITA,DF,Genoa,26,1993,11.0,10.0,921.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,10.2,1.0,0.0,20.0,0.1,0.0,0.0,0.11,-0.6,-0.6,443.0,529.0,83.7,8734.0,3270.0,142.0,163.0,87.1,236.0,258.0,91.5,58.0,88.0,65.9,2.0,14.0,2.0,1.0,15.0,513.0,15.0,12.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,6.0,6.0,0.59,5.0,0.0,0.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,10.0,5.0,5.0,5.0,0.0,16.0,11.0,5.0,27.0,44.0,0.0,650.0,82.0,358.0,271.0,22.0,7.0,650.0,325.0,1.0,3.0,1.0,389.0,2.0,5.0,0.0,13.0,7.0,1.0,0.0,0.0,0.0,39.0,32.0,29.0,52.5
+Mattia Bani,it ITA,DF,Parma,26,1993,15.0,14.0,1145.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.05,0.05,12.7,2.0,0.0,25.0,0.16,0.0,0.0,0.08,-0.6,-0.6,633.0,712.0,88.9,13012.0,4280.0,167.0,187.0,89.3,382.0,398.0,96.0,79.0,115.0,68.7,2.0,23.0,2.0,1.0,32.0,684.0,28.0,21.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,6.0,0.47,5.0,0.0,1.0,0.0,1.0,0.08,0.0,0.0,1.0,0.0,0.0,20.0,11.0,15.0,4.0,1.0,10.0,6.0,4.0,33.0,50.0,0.0,846.0,115.0,491.0,336.0,22.0,10.0,846.0,487.0,5.0,2.0,0.0,587.0,3.0,1.0,0.0,16.0,8.0,0.0,0.0,0.0,0.0,54.0,34.0,24.0,58.6
+Antonín Barák,cz CZE,MF,Hellas Verona,25,1994,34.0,32.0,2765.0,7.0,3.0,0.0,0.0,5.0,1.0,0.23,0.1,0.33,0.23,0.33,6.8,6.8,0.22,0.22,30.7,16.0,1.0,35.6,0.52,0.16,0.44,0.15,0.2,0.2,1017.0,1311.0,77.6,16319.0,4200.0,523.0,629.0,83.1,395.0,476.0,83.0,67.0,104.0,64.4,24.0,126.0,26.0,2.0,147.0,1261.0,40.0,20.0,2.0,6.0,14.0,0.0,0.0,0.0,0.0,15.0,10.0,37.0,56.0,1.84,50.0,0.0,1.0,1.0,7.0,0.23,5.0,0.0,0.0,0.0,0.0,30.0,19.0,8.0,16.0,6.0,26.0,7.0,19.0,12.0,38.0,1.0,1598.0,57.0,234.0,937.0,459.0,76.0,1598.0,882.0,64.0,49.0,14.0,1080.0,44.0,28.0,0.0,60.0,17.0,4.0,0.0,1.0,0.0,216.0,65.0,81.0,44.5
+Federico Barba,it ITA,DF,Benevento,26,1993,32.0,31.0,2659.0,0.0,2.0,0.0,0.0,8.0,0.0,0.0,0.07,0.07,0.0,0.07,0.8,0.8,0.03,0.03,29.5,3.0,0.0,23.1,0.1,0.0,0.0,0.06,-0.8,-0.8,1095.0,1396.0,78.4,19174.0,7531.0,465.0,527.0,88.2,496.0,606.0,81.8,101.0,198.0,51.0,13.0,56.0,14.0,4.0,80.0,1152.0,240.0,61.0,0.0,4.0,38.0,0.0,0.0,0.0,0.0,171.0,4.0,23.0,29.0,0.98,23.0,2.0,3.0,1.0,4.0,0.14,3.0,0.0,1.0,0.0,0.0,31.0,16.0,22.0,8.0,1.0,39.0,18.0,21.0,48.0,94.0,4.0,1672.0,154.0,817.0,669.0,201.0,25.0,1672.0,760.0,23.0,22.0,1.0,891.0,14.0,6.0,0.0,27.0,10.0,1.0,0.0,0.0,1.0,116.0,22.0,30.0,42.3
+Nicolò Barella,it ITA,MF,Inter,23,1997,36.0,32.0,2896.0,3.0,7.0,0.0,0.0,5.0,0.0,0.09,0.22,0.31,0.09,0.31,2.4,2.4,0.07,0.07,32.2,8.0,0.0,22.2,0.25,0.08,0.38,0.07,0.6,0.6,1591.0,1931.0,82.4,25100.0,8423.0,850.0,935.0,90.9,564.0,662.0,85.2,123.0,201.0,61.2,47.0,182.0,66.0,10.0,261.0,1894.0,29.0,10.0,5.0,12.0,64.0,1.0,1.0,0.0,0.0,18.0,8.0,41.0,105.0,3.26,97.0,1.0,3.0,2.0,14.0,0.44,13.0,0.0,1.0,0.0,0.0,58.0,31.0,23.0,29.0,6.0,29.0,4.0,25.0,26.0,14.0,0.0,2236.0,41.0,358.0,1168.0,737.0,54.0,2236.0,1305.0,99.0,77.0,12.0,1700.0,63.0,28.0,0.0,43.0,53.0,2.0,0.0,1.0,0.0,193.0,30.0,28.0,51.7
+Antonio Barreca,it ITA,DF,Fiorentina,25,1995,3.0,1.0,85.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.9,1.0,0.0,50.0,1.06,0.0,0.0,0.05,-0.1,-0.1,32.0,51.0,62.7,480.0,157.0,17.0,19.0,89.5,12.0,20.0,60.0,2.0,5.0,40.0,1.0,4.0,1.0,1.0,6.0,36.0,15.0,2.0,0.0,0.0,11.0,3.0,0.0,3.0,0.0,10.0,0.0,2.0,2.0,2.12,2.0,0.0,0.0,0.0,1.0,1.06,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,56.0,2.0,8.0,25.0,23.0,3.0,56.0,23.0,1.0,1.0,0.0,29.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,3.0,3.0,2.0,60.0
+"Musa Barrow,gm GAM,""FW,MF"",Bologna,21,1998,38.0,34.0,2921.0,8.0,8.0,0.0,1.0,0.0,0.0,0.25,0.25,0.49,0.25,0.49,7.0,6.2,0.22,0.19,32.5,38.0,6.0,43.2,1.17,0.09,0.21,0.07,1.0,1.8,818.0,1165.0,70.2,13878.0,3584.0,433.0,530.0,81.7,247.0,331.0,74.6,103.0,213.0,48.4,60.0,83.0,31.0,12.0,103.0,1031.0,125.0,32.0,1.0,17.0,138.0,66.0,54.0,5.0,0.0,15.0,9.0,21.0,111.0,3.42,75.0,15.0,11.0,1.0,11.0,0.34,8.0,2.0,1.0,0.0,0.0,26.0,10.0,8.0,10.0,8.0,37.0,2.0,35.0,11.0,15.0,0.0,1559.0,16.0,150.0,652.0,771.0,119.0,1558.0,976.0,88.0,52.0,29.0,1175.0,103.0,53.0,0.0,17.0,32.0,11.0,0.0,0.0,0.0,110.0,23.0,73.0,24.0"
+Paolo Bartolomei,it ITA,MF,Spezia,30,1989,6.0,3.0,320.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.28,0.28,0.0,0.28,0.1,0.1,0.04,0.04,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,91.0,124.0,73.4,1413.0,332.0,47.0,53.0,88.7,36.0,44.0,81.8,5.0,19.0,26.3,5.0,9.0,2.0,1.0,10.0,117.0,7.0,1.0,0.0,1.0,13.0,5.0,0.0,4.0,0.0,1.0,0.0,4.0,9.0,2.54,8.0,1.0,0.0,0.0,2.0,0.56,2.0,0.0,0.0,0.0,0.0,6.0,2.0,3.0,1.0,2.0,1.0,0.0,1.0,1.0,2.0,0.0,150.0,4.0,24.0,79.0,48.0,9.0,150.0,87.0,8.0,2.0,4.0,110.0,6.0,3.0,0.0,4.0,1.0,0.0,0.0,1.0,0.0,9.0,1.0,1.0,50.0
+Daniele Baselli,it ITA,MF,Torino,28,1992,15.0,3.0,396.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,4.4,2.0,2.0,40.0,0.45,0.0,0.0,0.05,-0.3,-0.3,163.0,217.0,75.1,2989.0,1031.0,78.0,94.0,83.0,51.0,68.0,75.0,29.0,39.0,74.4,9.0,21.0,3.0,0.0,25.0,190.0,24.0,10.0,2.0,2.0,14.0,12.0,5.0,6.0,0.0,0.0,3.0,5.0,14.0,3.17,9.0,4.0,1.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,12.0,7.0,3.0,6.0,3.0,2.0,0.0,2.0,9.0,5.0,0.0,273.0,7.0,49.0,164.0,60.0,5.0,273.0,140.0,7.0,5.0,1.0,155.0,4.0,2.0,0.0,6.0,9.0,0.0,0.0,0.0,0.0,39.0,7.0,7.0,50.0
+Alessandro Bastoni,it ITA,DF,Inter,21,1999,33.0,33.0,2922.0,0.0,3.0,0.0,0.0,6.0,0.0,0.0,0.09,0.09,0.0,0.09,1.0,1.0,0.03,0.03,32.5,1.0,0.0,10.0,0.03,0.0,0.0,0.1,-1.0,-1.0,2065.0,2306.0,89.5,37276.0,10450.0,910.0,952.0,95.6,899.0,961.0,93.5,226.0,315.0,71.7,12.0,150.0,16.0,4.0,146.0,2175.0,124.0,63.0,1.0,24.0,24.0,0.0,0.0,0.0,0.0,32.0,7.0,24.0,41.0,1.26,36.0,0.0,1.0,2.0,6.0,0.18,6.0,0.0,0.0,0.0,0.0,36.0,22.0,13.0,21.0,2.0,34.0,16.0,18.0,40.0,75.0,0.0,2547.0,245.0,931.0,1357.0,278.0,19.0,2547.0,1649.0,70.0,55.0,2.0,1923.0,19.0,6.0,0.0,40.0,28.0,0.0,0.0,0.0,0.0,164.0,48.0,32.0,60.0
+Simone Bastoni,it ITA,DF,Spezia,23,1996,22.0,19.0,1522.0,1.0,7.0,0.0,0.0,7.0,0.0,0.06,0.41,0.47,0.06,0.47,1.2,1.2,0.07,0.07,16.9,4.0,1.0,19.0,0.24,0.05,0.25,0.06,-0.2,-0.2,794.0,1068.0,74.3,13759.0,4837.0,395.0,446.0,88.6,293.0,379.0,77.3,89.0,168.0,53.0,29.0,69.0,27.0,10.0,85.0,862.0,199.0,30.0,0.0,3.0,93.0,34.0,0.0,31.0,0.0,135.0,7.0,35.0,48.0,2.84,28.0,13.0,2.0,0.0,8.0,0.47,4.0,3.0,0.0,0.0,0.0,50.0,29.0,26.0,22.0,2.0,19.0,1.0,18.0,16.0,31.0,0.0,1272.0,41.0,363.0,544.0,382.0,26.0,1272.0,702.0,51.0,41.0,2.0,766.0,28.0,19.0,0.0,35.0,27.0,2.0,0.0,1.0,0.0,122.0,27.0,25.0,51.9
+Bastos,ao ANG,DF,Lazio,29,1991,2.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,41.0,92.7,554.0,152.0,21.0,22.0,95.5,13.0,15.0,86.7,1.0,1.0,100.0,0.0,1.0,2.0,0.0,3.0,39.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.86,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,0.0,1.0,1.0,0.0,1.0,0.0,3.0,0.0,52.0,5.0,25.0,18.0,9.0,1.0,52.0,38.0,1.0,1.0,0.0,34.0,0.0,3.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,100.0
+Rodrigo Becão,br BRA,DF,Udinese,24,1996,35.0,32.0,2780.0,1.0,0.0,0.0,0.0,5.0,0.0,0.03,0.0,0.03,0.03,0.03,1.3,1.3,0.04,0.04,30.9,3.0,0.0,30.0,0.1,0.1,0.33,0.13,-0.3,-0.3,1173.0,1371.0,85.6,20394.0,7572.0,498.0,547.0,91.0,553.0,612.0,90.4,96.0,158.0,60.8,7.0,80.0,5.0,1.0,98.0,1313.0,54.0,49.0,0.0,5.0,13.0,0.0,0.0,0.0,0.0,5.0,4.0,19.0,25.0,0.81,21.0,0.0,1.0,1.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,59.0,33.0,36.0,20.0,3.0,48.0,27.0,21.0,68.0,94.0,2.0,1693.0,215.0,789.0,789.0,125.0,26.0,1693.0,949.0,22.0,19.0,1.0,1074.0,12.0,9.0,0.0,50.0,47.0,0.0,0.0,1.0,0.0,142.0,61.0,36.0,62.9
+Valon Behrami,ch SUI,MF,Genoa,35,1985,26.0,8.0,892.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.05,0.05,9.9,1.0,0.0,25.0,0.1,0.0,0.0,0.12,-0.5,-0.5,162.0,218.0,74.3,2214.0,875.0,90.0,114.0,78.9,51.0,66.0,77.3,8.0,14.0,57.1,2.0,16.0,2.0,1.0,23.0,211.0,6.0,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,7.0,0.71,5.0,0.0,1.0,1.0,1.0,0.1,0.0,0.0,0.0,1.0,0.0,21.0,9.0,9.0,10.0,2.0,13.0,5.0,8.0,9.0,13.0,0.0,310.0,20.0,82.0,169.0,63.0,6.0,310.0,130.0,5.0,4.0,2.0,148.0,7.0,2.0,1.0,28.0,21.0,0.0,1.0,0.0,0.0,41.0,12.0,18.0,40.0
+Andrea Belotti,it ITA,FW,Torino,26,1993,35.0,33.0,2888.0,13.0,6.0,4.0,5.0,4.0,0.0,0.41,0.19,0.59,0.28,0.47,13.7,9.8,0.43,0.3,32.1,35.0,8.0,34.3,1.09,0.09,0.26,0.1,-0.7,-0.8,481.0,716.0,67.2,7066.0,1518.0,272.0,347.0,78.4,137.0,198.0,69.2,39.0,58.0,67.2,37.0,36.0,32.0,4.0,64.0,656.0,56.0,4.0,9.0,11.0,25.0,0.0,0.0,0.0,0.0,2.0,4.0,39.0,123.0,3.83,56.0,2.0,17.0,31.0,16.0,0.5,6.0,0.0,3.0,4.0,1.0,30.0,18.0,4.0,16.0,10.0,27.0,4.0,23.0,12.0,21.0,0.0,1142.0,26.0,80.0,542.0,544.0,147.0,1137.0,688.0,81.0,71.0,27.0,890.0,107.0,41.0,0.0,58.0,135.0,21.0,3.0,1.0,0.0,87.0,81.0,111.0,42.2
+Ahmad Benali,ly LBY,MF,Crotone,28,1992,18.0,15.0,1214.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.07,0.07,0.0,0.07,0.6,0.6,0.04,0.04,13.5,4.0,0.0,40.0,0.3,0.0,0.0,0.06,-0.6,-0.6,662.0,788.0,84.0,10717.0,3005.0,323.0,363.0,89.0,267.0,300.0,89.0,48.0,74.0,64.9,14.0,55.0,10.0,1.0,67.0,736.0,50.0,23.0,0.0,3.0,28.0,19.0,6.0,9.0,0.0,8.0,2.0,13.0,31.0,2.3,22.0,4.0,0.0,2.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,19.0,11.0,10.0,9.0,0.0,15.0,2.0,13.0,6.0,15.0,0.0,899.0,40.0,241.0,488.0,178.0,28.0,899.0,512.0,24.0,20.0,5.0,638.0,22.0,11.0,0.0,12.0,16.0,1.0,0.0,0.0,0.0,94.0,10.0,4.0,71.4
+Ismaël Bennacer,dz ALG,MF,Milan,22,1997,21.0,17.0,1326.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.14,0.14,0.0,0.14,0.9,0.9,0.06,0.06,14.7,1.0,0.0,8.3,0.07,0.0,0.0,0.08,-0.9,-0.9,851.0,984.0,86.5,14057.0,4891.0,436.0,465.0,93.8,313.0,344.0,91.0,81.0,121.0,66.9,5.0,105.0,13.0,0.0,82.0,938.0,39.0,31.0,0.0,10.0,10.0,7.0,2.0,3.0,0.0,1.0,7.0,14.0,28.0,1.9,20.0,2.0,2.0,3.0,7.0,0.47,6.0,0.0,0.0,1.0,0.0,39.0,18.0,17.0,21.0,1.0,10.0,1.0,9.0,20.0,12.0,0.0,1140.0,33.0,261.0,749.0,140.0,4.0,1140.0,702.0,20.0,23.0,3.0,798.0,21.0,15.0,0.0,20.0,30.0,0.0,1.0,1.0,0.0,118.0,11.0,21.0,34.4
+Rodrigo Bentancur,uy URU,MF,Juventus,23,1997,33.0,27.0,2324.0,0.0,4.0,0.0,0.0,8.0,1.0,0.0,0.15,0.15,0.0,0.15,0.6,0.6,0.02,0.02,25.8,5.0,0.0,33.3,0.19,0.0,0.0,0.04,-0.6,-0.6,1643.0,1851.0,88.8,28913.0,8319.0,753.0,804.0,93.7,696.0,754.0,92.3,164.0,221.0,74.2,29.0,171.0,14.0,3.0,173.0,1785.0,60.0,40.0,2.0,14.0,25.0,15.0,5.0,6.0,0.0,5.0,6.0,21.0,69.0,2.67,53.0,8.0,1.0,2.0,11.0,0.43,10.0,0.0,0.0,0.0,1.0,63.0,33.0,21.0,37.0,5.0,35.0,12.0,23.0,47.0,46.0,1.0,2127.0,101.0,507.0,1312.0,339.0,15.0,2127.0,1174.0,35.0,41.0,3.0,1503.0,29.0,16.0,1.0,45.0,27.0,2.0,0.0,0.0,0.0,205.0,30.0,21.0,58.8
+Alessandro Berardi,it ITA,GK,Hellas Verona,29,1991,1.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,11.0,54.5,275.0,255.0,0.0,0.0,0.0,1.0,1.0,100.0,5.0,10.0,50.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.21,0.0,1.0,0.0,0.0,1.0,3.21,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,12.0,0.0,0.0,0.0,12.0,6.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Domenico Berardi,it ITA,FW,Sassuolo,25,1994,30.0,28.0,2475.0,17.0,7.0,7.0,8.0,4.0,0.0,0.62,0.25,0.87,0.36,0.62,15.0,8.7,0.55,0.32,27.5,32.0,10.0,30.5,1.16,0.1,0.31,0.08,2.0,1.3,984.0,1310.0,75.1,17062.0,4398.0,474.0,543.0,87.3,379.0,472.0,80.3,105.0,206.0,51.0,58.0,72.0,84.0,13.0,164.0,1202.0,102.0,39.0,7.0,11.0,117.0,58.0,30.0,16.0,0.0,5.0,6.0,30.0,151.0,5.49,100.0,15.0,16.0,8.0,18.0,0.65,11.0,2.0,3.0,1.0,1.0,42.0,22.0,17.0,11.0,14.0,23.0,1.0,22.0,26.0,34.0,0.0,1660.0,41.0,193.0,614.0,879.0,121.0,1652.0,1006.0,101.0,59.0,36.0,1213.0,54.0,31.0,0.0,43.0,59.0,2.0,1.0,0.0,0.0,136.0,12.0,32.0,27.3
+Álex Berenguer,es ESP,MF,Torino,25,1995,2.0,2.0,131.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.3,0.3,1.5,2.0,0.0,100.0,1.37,0.0,0.0,0.22,-0.4,-0.4,32.0,47.0,68.1,467.0,122.0,21.0,26.0,80.8,9.0,12.0,75.0,1.0,6.0,16.7,0.0,4.0,1.0,0.0,6.0,42.0,4.0,2.0,2.0,0.0,5.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,3.0,2.06,1.0,0.0,1.0,0.0,1.0,0.69,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,1.0,0.0,63.0,3.0,4.0,32.0,28.0,1.0,63.0,30.0,5.0,3.0,0.0,44.0,3.0,2.0,0.0,2.0,3.0,1.0,0.0,0.0,0.0,5.0,2.0,2.0,50.0
+Bartosz Bereszyński,pl POL,DF,Sampdoria,28,1992,31.0,29.0,2607.0,1.0,0.0,0.0,0.0,2.0,0.0,0.03,0.0,0.03,0.03,0.03,0.2,0.2,0.01,0.01,29.0,1.0,0.0,33.3,0.03,0.33,1.0,0.05,0.8,0.8,1203.0,1496.0,80.4,18103.0,7023.0,665.0,728.0,91.3,420.0,526.0,79.8,69.0,139.0,49.6,8.0,76.0,19.0,6.0,103.0,1218.0,274.0,41.0,0.0,2.0,46.0,0.0,0.0,0.0,0.0,233.0,4.0,26.0,37.0,1.28,27.0,4.0,1.0,2.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,66.0,44.0,37.0,22.0,7.0,40.0,20.0,20.0,42.0,88.0,0.0,1788.0,133.0,632.0,809.0,368.0,15.0,1788.0,803.0,42.0,36.0,7.0,958.0,27.0,15.0,0.0,28.0,28.0,0.0,0.0,0.0,0.0,152.0,28.0,33.0,45.9
+"Federico Bernardeschi,it ITA,""MF,DF"",Juventus,26,1994,27.0,8.0,972.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.19,0.19,0.0,0.19,1.3,1.3,0.12,0.12,10.8,6.0,0.0,46.2,0.56,0.0,0.0,0.1,-1.3,-1.3,447.0,585.0,76.4,7655.0,2210.0,222.0,251.0,88.4,152.0,192.0,79.2,55.0,92.0,59.8,25.0,31.0,14.0,5.0,39.0,501.0,82.0,21.0,1.0,7.0,85.0,36.0,4.0,28.0,0.0,25.0,2.0,19.0,43.0,3.97,23.0,15.0,1.0,3.0,5.0,0.46,5.0,0.0,0.0,0.0,0.0,9.0,4.0,3.0,5.0,1.0,6.0,2.0,4.0,14.0,7.0,1.0,707.0,23.0,139.0,277.0,297.0,29.0,707.0,416.0,37.0,26.0,5.0,481.0,27.0,12.0,0.0,13.0,17.0,2.0,0.0,0.0,0.0,64.0,6.0,7.0,46.2"
+Marco Bertini,it ITA,MF,Lazio,17,2002,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,37.0,24.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Daniel Bessa,it ITA,MF,Hellas Verona,27,1993,18.0,4.0,615.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.29,0.29,0.0,0.29,1.0,1.0,0.15,0.15,6.8,4.0,0.0,50.0,0.59,0.0,0.0,0.13,-1.0,-1.0,252.0,299.0,84.3,3680.0,987.0,141.0,150.0,94.0,72.0,86.0,83.7,19.0,31.0,61.3,14.0,26.0,10.0,3.0,35.0,291.0,7.0,4.0,2.0,1.0,16.0,3.0,0.0,3.0,0.0,0.0,1.0,7.0,19.0,2.79,15.0,1.0,1.0,0.0,3.0,0.44,3.0,0.0,0.0,0.0,0.0,15.0,8.0,3.0,11.0,1.0,5.0,1.0,4.0,2.0,0.0,0.0,368.0,3.0,37.0,170.0,163.0,15.0,368.0,247.0,19.0,19.0,4.0,287.0,18.0,12.0,0.0,16.0,6.0,3.0,0.0,0.0,0.0,39.0,2.0,16.0,11.1
+Cristiano Biraghi,it ITA,DF,Fiorentina,27,1992,35.0,31.0,2803.0,1.0,5.0,0.0,0.0,8.0,0.0,0.03,0.16,0.19,0.03,0.19,1.9,1.9,0.06,0.06,31.1,6.0,7.0,24.0,0.19,0.04,0.17,0.07,-0.9,-0.9,1175.0,1735.0,67.7,19485.0,8025.0,580.0,656.0,88.4,414.0,597.0,69.3,124.0,338.0,36.7,49.0,78.0,39.0,27.0,117.0,1313.0,413.0,86.0,0.0,4.0,286.0,85.0,13.0,64.0,1.0,242.0,9.0,50.0,92.0,2.95,44.0,39.0,3.0,4.0,10.0,0.32,8.0,1.0,0.0,1.0,0.0,42.0,23.0,19.0,15.0,8.0,23.0,9.0,14.0,27.0,56.0,3.0,1966.0,87.0,413.0,742.0,828.0,56.0,1966.0,996.0,91.0,52.0,8.0,1166.0,32.0,5.0,0.0,27.0,23.0,4.0,0.0,0.0,0.0,136.0,9.0,19.0,32.1
+Davide Biraschi,it ITA,DF,Genoa,26,1994,13.0,11.0,915.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,405.0,518.0,78.2,7100.0,2588.0,175.0,198.0,88.4,197.0,232.0,84.9,29.0,65.0,44.6,0.0,34.0,6.0,2.0,39.0,449.0,64.0,10.0,0.0,3.0,13.0,0.0,0.0,0.0,0.0,54.0,5.0,10.0,4.0,0.39,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,9.0,12.0,5.0,0.0,12.0,6.0,6.0,21.0,26.0,0.0,626.0,39.0,247.0,328.0,59.0,4.0,626.0,343.0,9.0,7.0,0.0,384.0,12.0,5.0,0.0,16.0,7.0,0.0,0.0,0.0,0.0,61.0,9.0,14.0,39.1
+"Jeremie Boga,ci CIV,""FW,MF"",Sassuolo,23,1997,27.0,20.0,1785.0,4.0,2.0,0.0,0.0,0.0,0.0,0.2,0.1,0.3,0.2,0.3,3.6,3.6,0.18,0.18,19.8,15.0,0.0,46.9,0.76,0.13,0.27,0.11,0.4,0.4,675.0,764.0,88.4,8482.0,1189.0,463.0,503.0,92.0,150.0,164.0,91.5,21.0,31.0,67.7,12.0,24.0,17.0,0.0,43.0,742.0,21.0,2.0,0.0,2.0,11.0,9.0,0.0,0.0,0.0,10.0,1.0,14.0,47.0,2.37,29.0,2.0,2.0,3.0,7.0,0.35,3.0,0.0,1.0,1.0,0.0,11.0,9.0,5.0,0.0,6.0,10.0,0.0,10.0,8.0,7.0,0.0,1017.0,21.0,135.0,356.0,547.0,74.0,1017.0,691.0,78.0,71.0,30.0,830.0,57.0,31.0,0.0,9.0,35.0,9.0,0.0,0.0,0.0,69.0,2.0,8.0,20.0"
+Giacomo Bonaventura,it ITA,MF,Fiorentina,30,1989,34.0,27.0,2256.0,3.0,2.0,0.0,0.0,5.0,0.0,0.12,0.08,0.2,0.12,0.2,2.7,2.7,0.11,0.11,25.1,11.0,1.0,25.0,0.44,0.07,0.27,0.06,0.3,0.3,761.0,956.0,79.6,12065.0,2575.0,385.0,445.0,86.5,257.0,301.0,85.4,72.0,118.0,61.0,24.0,75.0,25.0,6.0,93.0,912.0,39.0,15.0,1.0,15.0,38.0,16.0,1.0,12.0,0.0,1.0,5.0,25.0,65.0,2.6,47.0,4.0,3.0,7.0,7.0,0.28,6.0,0.0,0.0,1.0,0.0,34.0,19.0,16.0,13.0,5.0,26.0,2.0,24.0,39.0,12.0,0.0,1208.0,32.0,197.0,594.0,443.0,37.0,1208.0,710.0,49.0,48.0,7.0,843.0,36.0,30.0,0.0,39.0,41.0,7.0,1.0,0.0,0.0,139.0,29.0,31.0,48.3
+Federico Bonazzoli,it ITA,FW,Torino,23,1997,20.0,4.0,564.0,2.0,2.0,0.0,0.0,2.0,0.0,0.32,0.32,0.64,0.32,0.64,1.3,1.3,0.21,0.21,6.3,5.0,0.0,23.8,0.8,0.1,0.4,0.06,0.7,0.7,129.0,155.0,83.2,2281.0,245.0,69.0,81.0,85.2,40.0,46.0,87.0,17.0,19.0,89.5,4.0,9.0,3.0,0.0,15.0,136.0,19.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,17.0,2.71,10.0,0.0,2.0,3.0,4.0,0.64,3.0,0.0,1.0,0.0,0.0,6.0,4.0,0.0,4.0,2.0,3.0,0.0,3.0,2.0,3.0,0.0,223.0,3.0,15.0,113.0,100.0,25.0,223.0,130.0,7.0,9.0,3.0,160.0,15.0,8.0,0.0,11.0,19.0,4.0,0.0,0.0,0.0,21.0,4.0,9.0,30.8
+Federico Bonazzoli,it ITA,FW,Sampdoria,23,1997,2.0,2.0,131.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.69,0.69,0.0,0.69,0.2,0.2,0.14,0.14,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,19.0,27.0,70.4,310.0,62.0,7.0,10.0,70.0,9.0,13.0,69.2,2.0,2.0,100.0,2.0,4.0,1.0,0.0,3.0,25.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.06,2.0,0.0,0.0,0.0,1.0,0.69,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,35.0,0.0,4.0,14.0,19.0,6.0,35.0,19.0,5.0,3.0,1.0,26.0,3.0,3.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0
+Kevin Bonifazi,it ITA,DF,Udinese,24,1996,30.0,28.0,2469.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,1.4,0.05,0.05,27.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-1.4,-1.4,1204.0,1360.0,88.5,22919.0,9010.0,412.0,450.0,91.6,652.0,681.0,95.7,117.0,184.0,63.6,2.0,59.0,3.0,0.0,58.0,1287.0,71.0,64.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,6.0,2.0,9.0,15.0,0.55,11.0,1.0,1.0,1.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,32.0,21.0,24.0,6.0,2.0,33.0,20.0,13.0,50.0,85.0,1.0,1613.0,262.0,872.0,678.0,74.0,22.0,1613.0,1020.0,15.0,14.0,2.0,1047.0,19.0,3.0,0.0,26.0,14.0,0.0,0.0,2.0,0.0,164.0,41.0,24.0,63.1
+Leonardo Bonucci,it ITA,DF,Juventus,33,1987,26.0,23.0,2028.0,2.0,0.0,0.0,0.0,4.0,0.0,0.09,0.0,0.09,0.09,0.09,2.5,2.5,0.11,0.11,22.5,3.0,0.0,18.8,0.13,0.13,0.67,0.16,-0.5,-0.5,1363.0,1518.0,89.8,29257.0,11809.0,342.0,360.0,95.0,815.0,855.0,95.3,198.0,275.0,72.0,3.0,91.0,6.0,1.0,89.0,1444.0,68.0,61.0,2.0,11.0,5.0,0.0,0.0,0.0,0.0,1.0,6.0,5.0,10.0,0.44,8.0,1.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,19.0,14.0,10.0,8.0,1.0,24.0,13.0,11.0,33.0,67.0,0.0,1702.0,225.0,770.0,875.0,64.0,20.0,1702.0,984.0,6.0,8.0,1.0,1290.0,5.0,2.0,0.0,21.0,16.0,3.0,0.0,2.0,0.0,93.0,34.0,19.0,64.2
+Mehdi Bourabia,ma MAR,MF,Sassuolo,28,1991,15.0,4.0,528.0,1.0,0.0,0.0,0.0,2.0,0.0,0.17,0.0,0.17,0.17,0.17,0.5,0.5,0.09,0.09,5.9,3.0,3.0,33.3,0.51,0.11,0.33,0.06,0.5,0.5,302.0,363.0,83.2,4356.0,951.0,180.0,197.0,91.4,95.0,118.0,80.5,16.0,25.0,64.0,2.0,27.0,2.0,0.0,13.0,349.0,13.0,10.0,0.0,3.0,5.0,2.0,0.0,2.0,0.0,1.0,1.0,4.0,8.0,1.36,5.0,0.0,0.0,1.0,2.0,0.34,2.0,0.0,0.0,0.0,0.0,6.0,5.0,1.0,4.0,1.0,14.0,6.0,8.0,12.0,8.0,0.0,444.0,27.0,113.0,257.0,77.0,4.0,444.0,225.0,5.0,11.0,0.0,308.0,9.0,4.0,0.0,15.0,6.0,0.0,0.0,1.0,0.0,43.0,14.0,5.0,73.7
+Edoardo Bove,it ITA,MF,Roma,18,2002,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,11.0,100.0,168.0,51.0,7.0,7.0,100.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.18,1.0,0.0,0.0,0.0,1.0,8.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,4.0,8.0,0.0,0.0,12.0,9.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Jayden Braaf,nl NED,FW,Udinese,17,2002,4.0,1.0,116.0,1.0,0.0,0.0,0.0,0.0,0.0,0.78,0.0,0.78,0.78,0.78,0.1,0.1,0.09,0.09,1.3,2.0,0.0,100.0,1.55,0.5,0.5,0.05,0.9,0.9,20.0,28.0,71.4,261.0,45.0,13.0,15.0,86.7,6.0,8.0,75.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,2.0,28.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,3.1,2.0,0.0,1.0,0.0,1.0,0.78,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,1.0,3.0,15.0,23.0,7.0,41.0,30.0,2.0,0.0,1.0,28.0,6.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,7.0,0.0,5.0,0.0
+Gleison Bremer,br BRA,DF,Torino,23,1997,33.0,33.0,2935.0,5.0,0.0,0.0,0.0,2.0,0.0,0.15,0.0,0.15,0.15,0.15,3.2,3.2,0.1,0.1,32.6,9.0,0.0,34.6,0.28,0.19,0.56,0.12,1.8,1.8,1371.0,1664.0,82.4,26407.0,9709.0,479.0,525.0,91.2,715.0,801.0,89.3,150.0,276.0,54.3,8.0,75.0,2.0,0.0,81.0,1597.0,63.0,60.0,0.0,17.0,2.0,0.0,0.0,0.0,0.0,3.0,4.0,21.0,24.0,0.74,18.0,0.0,2.0,1.0,1.0,0.03,0.0,0.0,0.0,1.0,0.0,51.0,34.0,36.0,14.0,1.0,54.0,21.0,33.0,70.0,142.0,1.0,2059.0,226.0,1048.0,932.0,97.0,41.0,2059.0,1152.0,28.0,17.0,1.0,1250.0,24.0,8.0,0.0,30.0,16.0,0.0,1.0,1.0,0.0,206.0,96.0,65.0,59.6
+Marcelo Brozović,hr CRO,MF,Inter,27,1992,33.0,29.0,2581.0,2.0,6.0,0.0,0.0,9.0,1.0,0.07,0.21,0.28,0.07,0.28,1.0,1.0,0.04,0.04,28.7,4.0,1.0,16.0,0.14,0.08,0.5,0.04,1.0,1.0,2012.0,2297.0,87.6,37385.0,11289.0,802.0,865.0,92.7,927.0,1015.0,91.3,249.0,337.0,73.9,45.0,243.0,43.0,11.0,240.0,2140.0,154.0,84.0,4.0,12.0,86.0,62.0,15.0,29.0,0.0,8.0,3.0,28.0,98.0,3.42,73.0,20.0,1.0,0.0,11.0,0.38,8.0,2.0,0.0,0.0,0.0,54.0,29.0,23.0,24.0,7.0,43.0,17.0,26.0,40.0,38.0,0.0,2549.0,121.0,605.0,1473.0,491.0,8.0,2549.0,1448.0,35.0,48.0,1.0,1887.0,26.0,17.0,1.0,34.0,13.0,0.0,0.0,0.0,0.0,175.0,21.0,28.0,42.9
+Gastón Brugman,uy URU,MF,Parma,27,1992,26.0,21.0,1616.0,1.0,1.0,0.0,0.0,7.0,0.0,0.06,0.06,0.11,0.06,0.11,1.2,1.2,0.06,0.06,18.0,8.0,4.0,44.4,0.45,0.06,0.13,0.06,-0.2,-0.2,925.0,1099.0,84.2,18809.0,5650.0,324.0,360.0,90.0,436.0,492.0,88.6,156.0,213.0,73.2,26.0,90.0,11.0,1.0,111.0,977.0,116.0,67.0,3.0,15.0,56.0,43.0,17.0,11.0,1.0,0.0,6.0,14.0,57.0,3.18,41.0,15.0,1.0,0.0,6.0,0.33,5.0,1.0,0.0,0.0,0.0,35.0,19.0,18.0,15.0,2.0,33.0,4.0,29.0,45.0,34.0,0.0,1288.0,56.0,353.0,749.0,204.0,4.0,1288.0,701.0,22.0,24.0,1.0,831.0,20.0,9.0,0.0,27.0,22.0,1.0,0.0,0.0,0.0,126.0,8.0,8.0,50.0
+"Juan Brunetta,ar ARG,""FW,MF"",Parma,23,1997,12.0,4.0,475.0,1.0,2.0,0.0,0.0,3.0,0.0,0.19,0.38,0.57,0.19,0.57,0.9,0.9,0.17,0.17,5.3,5.0,1.0,50.0,0.95,0.1,0.2,0.09,0.1,0.1,153.0,191.0,80.1,2900.0,573.0,68.0,77.0,88.3,61.0,71.0,85.9,21.0,30.0,70.0,8.0,13.0,2.0,0.0,20.0,162.0,29.0,8.0,0.0,6.0,24.0,12.0,3.0,9.0,0.0,2.0,0.0,5.0,16.0,3.03,5.0,5.0,2.0,2.0,2.0,0.38,0.0,2.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,5.0,0.0,5.0,1.0,2.0,0.0,255.0,1.0,19.0,141.0,99.0,17.0,255.0,166.0,23.0,12.0,3.0,185.0,17.0,8.0,0.0,11.0,16.0,1.0,0.0,0.0,0.0,25.0,3.0,6.0,33.3"
+Gianluigi Buffon,it ITA,GK,Juventus,42,1978,8.0,8.0,720.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,259.0,307.0,84.4,5844.0,3805.0,70.0,70.0,100.0,132.0,133.0,99.2,54.0,100.0,54.0,0.0,1.0,0.0,0.0,0.0,236.0,70.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.25,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,321.0,288.0,320.0,1.0,0.0,0.0,321.0,174.0,0.0,0.0,0.0,182.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0
+Alessandro Buongiorno,it ITA,DF,Torino,21,1999,12.0,9.0,858.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,9.5,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.3,-0.3,362.0,436.0,83.0,6290.0,2048.0,138.0,156.0,88.5,196.0,212.0,92.5,21.0,53.0,39.6,1.0,25.0,1.0,1.0,30.0,413.0,23.0,18.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,4.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,5.0,8.0,4.0,0.0,15.0,9.0,6.0,11.0,44.0,1.0,550.0,69.0,237.0,292.0,22.0,5.0,550.0,312.0,9.0,2.0,0.0,340.0,13.0,2.0,0.0,17.0,11.0,1.0,0.0,0.0,0.0,43.0,22.0,10.0,68.8
+Maxime Busi,be BEL,DF,Parma,20,1999,24.0,11.0,1195.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.5,0.5,0.04,0.04,13.3,2.0,0.0,25.0,0.15,0.0,0.0,0.06,-0.5,-0.5,652.0,786.0,83.0,11221.0,3823.0,322.0,347.0,92.8,245.0,286.0,85.7,65.0,110.0,59.1,7.0,56.0,14.0,8.0,66.0,666.0,116.0,11.0,0.0,5.0,32.0,0.0,0.0,0.0,0.0,105.0,4.0,13.0,22.0,1.66,19.0,0.0,1.0,0.0,2.0,0.15,1.0,0.0,0.0,0.0,0.0,23.0,13.0,19.0,3.0,1.0,14.0,1.0,13.0,16.0,32.0,0.0,937.0,48.0,293.0,470.0,183.0,11.0,937.0,538.0,28.0,13.0,4.0,602.0,21.0,5.0,0.0,23.0,8.0,1.0,0.0,2.0,0.0,74.0,9.0,25.0,26.5
+Martín Cáceres,uy URU,DF,Fiorentina,33,1987,29.0,26.0,2238.0,2.0,2.0,0.0,0.0,4.0,0.0,0.08,0.08,0.16,0.08,0.16,1.7,1.7,0.07,0.07,24.9,6.0,0.0,40.0,0.24,0.13,0.33,0.12,0.3,0.3,818.0,1056.0,77.5,15514.0,5740.0,327.0,382.0,85.6,355.0,414.0,85.7,111.0,194.0,57.2,10.0,90.0,13.0,9.0,104.0,915.0,138.0,47.0,0.0,21.0,45.0,0.0,0.0,0.0,0.0,91.0,3.0,26.0,22.0,0.89,17.0,3.0,2.0,0.0,3.0,0.12,2.0,0.0,1.0,0.0,0.0,28.0,12.0,16.0,11.0,1.0,20.0,14.0,6.0,14.0,52.0,1.0,1224.0,101.0,361.0,641.0,234.0,24.0,1224.0,633.0,26.0,25.0,1.0,749.0,14.0,10.0,0.0,19.0,18.0,0.0,0.0,1.0,0.0,126.0,25.0,24.0,51.0
+Felipe Caicedo,ec ECU,FW,Lazio,31,1988,25.0,9.0,929.0,8.0,0.0,1.0,1.0,5.0,0.0,0.78,0.0,0.78,0.68,0.68,5.5,4.7,0.53,0.45,10.3,11.0,0.0,36.7,1.07,0.23,0.64,0.16,2.5,2.3,185.0,261.0,70.9,2235.0,479.0,128.0,160.0,80.0,33.0,53.0,62.3,7.0,9.0,77.8,12.0,19.0,2.0,0.0,18.0,253.0,7.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,12.0,28.0,2.71,17.0,1.0,2.0,2.0,2.0,0.19,1.0,0.0,0.0,0.0,0.0,10.0,7.0,4.0,4.0,2.0,7.0,0.0,7.0,4.0,2.0,0.0,376.0,5.0,25.0,185.0,171.0,50.0,375.0,206.0,6.0,7.0,2.0,298.0,27.0,6.0,0.0,25.0,17.0,8.0,0.0,0.0,0.0,24.0,26.0,24.0,52.0
+"Arturo Calabresi,it ITA,""DF,FW"",Bologna,24,1996,1.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,78.0,63.0,1.0,1.0,100.0,1.0,2.0,50.0,1.0,2.0,50.0,0.0,1.0,0.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,3.0,6.0,1.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0"
+Arturo Calabresi,it ITA,DF,Cagliari,24,1996,2.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,20.0,75.0,238.0,71.0,8.0,11.0,72.7,7.0,7.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,16.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,1.0,6.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,0.0,4.0,5.0,12.0,0.0,21.0,10.0,2.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Davide Calabria,it ITA,DF,Milan,23,1996,32.0,30.0,2647.0,2.0,1.0,0.0,0.0,7.0,0.0,0.07,0.03,0.1,0.07,0.1,1.3,1.3,0.04,0.04,29.4,7.0,0.0,29.2,0.24,0.08,0.29,0.05,0.7,0.7,1384.0,1792.0,77.2,24172.0,9372.0,664.0,726.0,91.5,558.0,699.0,79.8,141.0,279.0,50.5,21.0,156.0,33.0,11.0,169.0,1519.0,259.0,38.0,0.0,11.0,69.0,0.0,0.0,0.0,0.0,221.0,14.0,34.0,55.0,1.87,43.0,6.0,1.0,1.0,6.0,0.2,3.0,2.0,0.0,1.0,0.0,101.0,64.0,61.0,32.0,8.0,42.0,9.0,33.0,37.0,82.0,1.0,2139.0,114.0,639.0,1088.0,430.0,34.0,2139.0,999.0,60.0,46.0,7.0,1260.0,29.0,14.0,0.0,31.0,36.0,3.0,1.0,0.0,1.0,191.0,27.0,28.0,49.1
+Riccardo Calafiori,it ITA,DF,Roma,18,2002,3.0,1.0,66.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,45.0,77.8,577.0,189.0,17.0,21.0,81.0,15.0,18.0,83.3,3.0,3.0,100.0,0.0,1.0,0.0,0.0,1.0,35.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,55.0,2.0,21.0,23.0,12.0,0.0,55.0,25.0,2.0,0.0,0.0,30.0,2.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,7.0,2.0,1.0,66.7
+Mattia Caldara,it ITA,DF,Atalanta,26,1994,6.0,1.0,111.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.22,0.22,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.3,-0.3,52.0,59.0,88.1,1106.0,329.0,13.0,15.0,86.7,29.0,29.0,100.0,10.0,12.0,83.3,0.0,4.0,0.0,0.0,4.0,57.0,2.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.81,1.0,0.0,0.0,0.0,1.0,0.81,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,3.0,2.0,1.0,4.0,3.0,0.0,77.0,6.0,39.0,36.0,4.0,3.0,77.0,35.0,0.0,0.0,0.0,37.0,1.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,15.0,6.0,5.0,54.5
+Luca Caldirola,it ITA,DF,Benevento,29,1991,25.0,17.0,1572.0,2.0,0.0,0.0,0.0,6.0,1.0,0.11,0.0,0.11,0.11,0.11,0.9,0.9,0.05,0.05,17.5,3.0,0.0,42.9,0.17,0.29,0.67,0.13,1.1,1.1,681.0,806.0,84.5,13020.0,5025.0,250.0,274.0,91.2,347.0,387.0,89.7,72.0,127.0,56.7,4.0,46.0,4.0,1.0,48.0,735.0,71.0,50.0,0.0,9.0,3.0,0.0,0.0,0.0,0.0,20.0,0.0,4.0,7.0,0.4,6.0,0.0,1.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,21.0,13.0,13.0,6.0,2.0,20.0,15.0,5.0,20.0,56.0,0.0,956.0,120.0,496.0,424.0,39.0,14.0,956.0,508.0,18.0,7.0,0.0,592.0,3.0,3.0,1.0,20.0,25.0,1.0,0.0,0.0,0.0,60.0,26.0,25.0,51.0
+"Hakan Çalhanoğlu,tr TUR,""MF,FW"",Milan,26,1994,33.0,30.0,2614.0,4.0,9.0,1.0,1.0,4.0,0.0,0.14,0.31,0.45,0.1,0.41,4.8,4.0,0.16,0.14,29.0,22.0,16.0,26.8,0.76,0.04,0.14,0.05,-0.8,-1.0,1240.0,1614.0,76.8,21124.0,6728.0,643.0,730.0,88.1,378.0,471.0,80.3,170.0,311.0,54.7,98.0,131.0,57.0,11.0,175.0,1369.0,242.0,67.0,4.0,24.0,221.0,151.0,78.0,56.0,0.0,15.0,3.0,25.0,176.0,6.06,98.0,55.0,14.0,8.0,19.0,0.65,9.0,8.0,1.0,1.0,0.0,26.0,7.0,3.0,17.0,6.0,21.0,6.0,15.0,15.0,24.0,1.0,1936.0,25.0,172.0,865.0,919.0,73.0,1935.0,1062.0,88.0,70.0,21.0,1373.0,76.0,35.0,0.0,29.0,43.0,4.0,1.0,0.0,0.0,141.0,17.0,32.0,34.7"
+"Fabrizio Caligara,it ITA,""MF,FW"",Cagliari,20,2000,10.0,2.0,183.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,58.0,74.1,765.0,234.0,21.0,25.0,84.0,15.0,19.0,78.9,6.0,10.0,60.0,2.0,2.0,1.0,0.0,3.0,53.0,5.0,3.0,0.0,0.0,6.0,1.0,1.0,0.0,0.0,1.0,0.0,3.0,5.0,2.46,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,2.0,2.0,2.0,9.0,2.0,7.0,3.0,3.0,0.0,87.0,7.0,25.0,35.0,27.0,1.0,87.0,42.0,1.0,2.0,0.0,51.0,5.0,3.0,0.0,10.0,2.0,0.0,0.0,1.0,0.0,9.0,2.0,0.0,100.0"
+"José Callejón,es ESP,""FW,MF"",Fiorentina,33,1987,20.0,6.0,664.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.14,0.14,0.0,0.14,0.4,0.4,0.06,0.06,7.4,1.0,0.0,10.0,0.14,0.0,0.0,0.04,-0.4,-0.4,210.0,279.0,75.3,3471.0,780.0,113.0,127.0,89.0,66.0,93.0,71.0,21.0,29.0,72.4,5.0,17.0,11.0,6.0,25.0,256.0,21.0,6.0,0.0,5.0,28.0,1.0,0.0,1.0,0.0,13.0,2.0,11.0,13.0,1.76,9.0,1.0,0.0,2.0,2.0,0.27,2.0,0.0,0.0,0.0,0.0,10.0,7.0,0.0,6.0,4.0,4.0,1.0,3.0,4.0,5.0,0.0,336.0,8.0,31.0,157.0,152.0,14.0,336.0,173.0,13.0,14.0,0.0,232.0,10.0,6.0,0.0,6.0,12.0,0.0,0.0,0.0,0.0,33.0,9.0,8.0,52.9"
+Drissa Camara,ci CIV,MF,Parma,18,2002,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,9.0,77.8,81.0,0.0,7.0,8.0,87.5,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,2.0,7.0,3.0,0.0,12.0,8.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+Antonio Candreva,it ITA,MF,Sampdoria,33,1987,35.0,28.0,2505.0,5.0,8.0,2.0,2.0,1.0,0.0,0.18,0.29,0.47,0.11,0.4,4.9,3.4,0.18,0.12,27.8,18.0,4.0,32.7,0.65,0.05,0.17,0.06,0.1,-0.4,1093.0,1640.0,66.6,20366.0,7427.0,548.0,611.0,89.7,336.0,513.0,65.5,180.0,385.0,46.8,63.0,120.0,67.0,24.0,196.0,1405.0,227.0,59.0,2.0,60.0,291.0,106.0,24.0,58.0,0.0,62.0,8.0,66.0,118.0,4.24,71.0,30.0,8.0,4.0,15.0,0.54,9.0,3.0,2.0,1.0,0.0,28.0,19.0,17.0,9.0,2.0,24.0,3.0,21.0,9.0,27.0,1.0,1891.0,45.0,277.0,821.0,817.0,52.0,1889.0,1146.0,122.0,80.0,9.0,1303.0,48.0,11.0,0.0,15.0,29.0,10.0,1.0,0.0,0.0,160.0,3.0,8.0,27.3
+Elio Capradossi,it ITA,DF,Spezia,24,1996,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.29,0.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.29,-0.3,-0.3,37.0,45.0,82.2,596.0,106.0,17.0,21.0,81.0,18.0,21.0,85.7,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,43.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,59.0,15.0,46.0,10.0,3.0,2.0,59.0,21.0,0.0,0.0,0.0,35.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,33.3
+"Gianluca Caprari,it ITA,""MF,FW"",Benevento,27,1993,30.0,23.0,1865.0,5.0,6.0,0.0,1.0,4.0,1.0,0.24,0.29,0.53,0.24,0.53,4.0,3.2,0.19,0.15,20.7,15.0,8.0,31.9,0.72,0.11,0.33,0.07,1.0,1.8,507.0,711.0,71.3,8148.0,2103.0,259.0,309.0,83.8,170.0,225.0,75.6,50.0,119.0,42.0,35.0,38.0,22.0,5.0,65.0,568.0,140.0,33.0,2.0,5.0,106.0,70.0,23.0,39.0,0.0,10.0,3.0,19.0,85.0,4.1,36.0,18.0,10.0,7.0,9.0,0.43,4.0,4.0,0.0,0.0,1.0,16.0,11.0,5.0,5.0,6.0,19.0,1.0,18.0,18.0,8.0,0.0,1000.0,8.0,129.0,418.0,477.0,74.0,999.0,582.0,65.0,40.0,34.0,642.0,71.0,50.0,0.0,23.0,55.0,8.0,1.0,0.0,0.0,129.0,3.0,30.0,9.1"
+Francesco Caputo,it ITA,FW,Sassuolo,32,1987,25.0,19.0,1697.0,11.0,5.0,3.0,3.0,1.0,0.0,0.58,0.27,0.85,0.42,0.69,9.9,7.6,0.53,0.4,18.9,16.0,0.0,40.0,0.85,0.2,0.5,0.19,1.1,0.4,317.0,410.0,77.3,3815.0,691.0,203.0,241.0,84.2,79.0,97.0,81.4,4.0,9.0,44.4,16.0,13.0,11.0,0.0,29.0,361.0,49.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,15.0,45.0,2.39,27.0,1.0,8.0,6.0,7.0,0.37,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,1.0,3.0,0.0,533.0,4.0,28.0,245.0,262.0,95.0,530.0,261.0,12.0,7.0,11.0,437.0,37.0,12.0,0.0,16.0,32.0,19.0,3.0,0.0,0.0,29.0,11.0,16.0,40.7
+Andrea Carboni,it ITA,DF,Cagliari,19,2001,15.0,12.0,1085.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.08,0.08,0.0,0.08,0.4,0.4,0.03,0.03,12.1,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.4,-0.4,470.0,610.0,77.0,8663.0,2885.0,175.0,200.0,87.5,239.0,291.0,82.1,48.0,99.0,48.5,4.0,40.0,8.0,6.0,40.0,552.0,55.0,19.0,0.0,3.0,22.0,0.0,0.0,0.0,0.0,36.0,3.0,6.0,9.0,0.75,7.0,0.0,2.0,0.0,2.0,0.17,1.0,0.0,1.0,0.0,0.0,34.0,23.0,23.0,11.0,0.0,15.0,4.0,11.0,14.0,52.0,0.0,749.0,71.0,305.0,377.0,75.0,9.0,749.0,379.0,19.0,12.0,3.0,471.0,4.0,2.0,0.0,11.0,6.0,0.0,0.0,0.0,0.0,46.0,16.0,20.0,44.4
+"Giuseppe Caso,it ITA,""DF,FW"",Genoa,21,1998,2.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,18.0,55.6,133.0,22.0,6.0,8.0,75.0,2.0,3.0,66.7,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.33,1.0,0.0,0.0,1.0,1.0,1.67,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,0.0,6.0,14.0,8.0,1.0,28.0,20.0,4.0,3.0,1.0,17.0,4.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0"
+"Francesco Cassata,it ITA,""DF,FW"",Genoa,23,1997,8.0,2.0,227.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.5,1.0,0.0,100.0,0.4,0.0,0.0,0.03,0.0,0.0,68.0,97.0,70.1,969.0,385.0,36.0,43.0,83.7,26.0,33.0,78.8,2.0,6.0,33.3,1.0,5.0,1.0,0.0,11.0,79.0,18.0,0.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,18.0,0.0,7.0,5.0,1.98,4.0,1.0,0.0,0.0,1.0,0.4,1.0,0.0,0.0,0.0,0.0,7.0,6.0,7.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,120.0,5.0,39.0,52.0,33.0,0.0,120.0,67.0,3.0,5.0,0.0,64.0,4.0,3.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,16.0,3.0,4.0,42.9"
+Samu Castillejo,es ESP,FW,Milan,25,1995,28.0,12.0,1181.0,1.0,0.0,0.0,0.0,5.0,0.0,0.08,0.0,0.08,0.08,0.08,2.5,2.5,0.19,0.19,13.1,7.0,1.0,28.0,0.53,0.04,0.14,0.1,-1.5,-1.5,356.0,451.0,78.9,5632.0,1329.0,183.0,210.0,87.1,122.0,142.0,85.9,32.0,53.0,60.4,10.0,25.0,16.0,5.0,41.0,425.0,24.0,9.0,0.0,5.0,34.0,6.0,1.0,1.0,0.0,9.0,2.0,19.0,34.0,2.59,22.0,2.0,2.0,7.0,3.0,0.23,2.0,0.0,0.0,1.0,0.0,24.0,12.0,9.0,14.0,1.0,21.0,0.0,21.0,6.0,9.0,0.0,614.0,9.0,84.0,274.0,269.0,43.0,614.0,394.0,41.0,30.0,16.0,428.0,21.0,23.0,0.0,25.0,30.0,4.0,1.0,0.0,0.0,78.0,8.0,20.0,28.6
+Gaetano Castrovilli,it ITA,MF,Fiorentina,23,1997,34.0,29.0,2332.0,5.0,3.0,0.0,0.0,8.0,1.0,0.19,0.12,0.31,0.19,0.31,3.0,3.0,0.11,0.11,25.9,13.0,0.0,40.6,0.5,0.16,0.38,0.09,2.0,2.0,573.0,759.0,75.5,8905.0,2696.0,342.0,398.0,85.9,150.0,195.0,76.9,55.0,85.0,64.7,18.0,56.0,33.0,8.0,108.0,726.0,27.0,12.0,0.0,14.0,36.0,5.0,3.0,2.0,0.0,10.0,6.0,32.0,61.0,2.35,47.0,0.0,0.0,13.0,10.0,0.39,8.0,0.0,0.0,1.0,0.0,33.0,19.0,15.0,11.0,7.0,25.0,2.0,23.0,34.0,14.0,0.0,1076.0,30.0,162.0,450.0,477.0,57.0,1076.0,649.0,74.0,54.0,11.0,724.0,67.0,51.0,0.0,41.0,63.0,1.0,0.0,1.0,0.0,136.0,13.0,39.0,25.0
+Danilo Cataldi,it ITA,MF,Lazio,25,1994,19.0,4.0,568.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,6.3,2.0,0.0,33.3,0.32,0.0,0.0,0.06,-0.3,-0.3,351.0,429.0,81.8,5783.0,1975.0,168.0,180.0,93.3,140.0,163.0,85.9,31.0,67.0,46.3,5.0,40.0,7.0,3.0,43.0,387.0,41.0,16.0,1.0,3.0,30.0,19.0,11.0,5.0,0.0,4.0,1.0,5.0,16.0,2.53,13.0,2.0,0.0,0.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,7.0,2.0,1.0,5.0,1.0,3.0,1.0,2.0,9.0,7.0,0.0,466.0,18.0,96.0,268.0,106.0,8.0,466.0,266.0,12.0,9.0,1.0,321.0,6.0,2.0,0.0,9.0,4.0,0.0,0.0,1.0,0.0,64.0,1.0,5.0,16.7
+Federico Ceccherini,it ITA,DF,Hellas Verona,28,1992,25.0,23.0,1738.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,1.3,0.07,0.07,19.3,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-1.3,-1.3,733.0,915.0,80.1,12780.0,4479.0,312.0,363.0,86.0,328.0,390.0,84.1,65.0,111.0,58.6,5.0,63.0,3.0,0.0,69.0,865.0,45.0,33.0,0.0,8.0,6.0,0.0,0.0,0.0,0.0,12.0,5.0,7.0,17.0,0.88,14.0,0.0,2.0,1.0,2.0,0.1,1.0,0.0,1.0,0.0,0.0,16.0,12.0,10.0,6.0,0.0,15.0,8.0,7.0,40.0,60.0,0.0,1110.0,91.0,455.0,563.0,97.0,25.0,1110.0,585.0,17.0,16.0,1.0,648.0,15.0,6.0,0.0,47.0,33.0,1.0,0.0,0.0,0.0,92.0,72.0,42.0,63.2
+Federico Ceccherini,it ITA,DF,Fiorentina,28,1992,3.0,3.0,270.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,99.0,115.0,86.1,1960.0,772.0,36.0,38.0,94.7,48.0,52.0,92.3,15.0,24.0,62.5,0.0,6.0,0.0,0.0,4.0,108.0,7.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,3.0,0.0,6.0,5.0,1.0,7.0,15.0,0.0,153.0,23.0,96.0,58.0,1.0,1.0,153.0,82.0,0.0,0.0,0.0,82.0,2.0,0.0,0.0,5.0,3.0,0.0,0.0,1.0,1.0,12.0,4.0,4.0,50.0
+Luca Ceppitelli,it ITA,DF,Cagliari,30,1989,19.0,16.0,1465.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.03,0.03,16.3,1.0,0.0,14.3,0.06,0.0,0.0,0.07,-0.5,-0.5,703.0,846.0,83.1,13465.0,4685.0,259.0,297.0,87.2,355.0,386.0,92.0,78.0,135.0,57.8,2.0,53.0,5.0,1.0,51.0,799.0,45.0,33.0,0.0,12.0,11.0,0.0,0.0,0.0,0.0,11.0,2.0,8.0,9.0,0.55,8.0,0.0,0.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,25.0,19.0,13.0,10.0,2.0,23.0,12.0,11.0,25.0,58.0,1.0,989.0,119.0,462.0,472.0,61.0,14.0,989.0,512.0,10.0,3.0,0.0,641.0,9.0,2.0,0.0,15.0,13.0,1.0,0.0,0.0,0.0,77.0,46.0,29.0,61.3
+Alberto Cerri,it ITA,FW,Cagliari,24,1996,23.0,3.0,369.0,1.0,0.0,0.0,0.0,1.0,0.0,0.24,0.0,0.24,0.24,0.24,3.0,3.0,0.74,0.74,4.1,6.0,0.0,37.5,1.46,0.06,0.17,0.19,-2.0,-2.0,88.0,146.0,60.3,1351.0,238.0,42.0,66.0,63.6,33.0,49.0,67.3,6.0,10.0,60.0,7.0,4.0,4.0,0.0,9.0,141.0,5.0,1.0,2.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,20.0,4.85,12.0,0.0,4.0,2.0,1.0,0.24,0.0,0.0,1.0,0.0,0.0,3.0,2.0,0.0,2.0,1.0,4.0,2.0,2.0,2.0,6.0,0.0,216.0,7.0,17.0,77.0,122.0,43.0,216.0,110.0,3.0,2.0,2.0,168.0,15.0,11.0,0.0,18.0,15.0,1.0,0.0,0.0,0.0,12.0,34.0,23.0,59.6
+Julian Chabot,de GER,DF,Spezia,22,1998,25.0,19.0,1655.0,1.0,1.0,0.0,0.0,11.0,1.0,0.05,0.05,0.11,0.05,0.11,0.7,0.7,0.04,0.04,18.4,3.0,0.0,33.3,0.16,0.11,0.33,0.08,0.3,0.3,917.0,1082.0,84.8,19285.0,5922.0,278.0,313.0,88.8,494.0,542.0,91.1,136.0,204.0,66.7,6.0,51.0,1.0,0.0,57.0,1011.0,65.0,57.0,0.0,23.0,2.0,0.0,0.0,0.0,0.0,8.0,6.0,4.0,13.0,0.71,9.0,0.0,2.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,48.0,34.0,28.0,16.0,4.0,25.0,13.0,12.0,37.0,43.0,1.0,1268.0,91.0,596.0,653.0,32.0,12.0,1268.0,763.0,11.0,9.0,2.0,813.0,11.0,4.0,1.0,32.0,32.0,0.0,0.0,1.0,0.0,82.0,57.0,33.0,63.3
+Giorgio Chiellini,it ITA,DF,Juventus,35,1984,17.0,16.0,1386.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.06,0.06,0.0,0.06,0.5,0.5,0.03,0.03,15.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,1025.0,1121.0,91.4,20096.0,6505.0,322.0,328.0,98.2,585.0,620.0,94.4,105.0,143.0,73.4,2.0,67.0,2.0,0.0,63.0,1059.0,56.0,40.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,6.0,6.0,3.0,10.0,0.65,7.0,0.0,2.0,1.0,2.0,0.13,1.0,0.0,1.0,0.0,0.0,12.0,9.0,9.0,3.0,0.0,18.0,13.0,5.0,27.0,56.0,0.0,1262.0,158.0,562.0,659.0,44.0,14.0,1262.0,690.0,20.0,14.0,0.0,928.0,5.0,1.0,0.0,19.0,15.0,1.0,1.0,3.0,1.0,66.0,26.0,21.0,55.3
+Federico Chiesa,it ITA,DF,Fiorentina,22,1997,3.0,3.0,240.0,1.0,1.0,0.0,0.0,0.0,0.0,0.37,0.37,0.75,0.37,0.75,0.8,0.8,0.31,0.31,2.7,1.0,0.0,10.0,0.37,0.1,1.0,0.08,0.2,0.2,90.0,116.0,77.6,1603.0,447.0,48.0,56.0,85.7,29.0,36.0,80.6,11.0,17.0,64.7,5.0,5.0,4.0,2.0,8.0,96.0,20.0,3.0,0.0,4.0,11.0,0.0,0.0,0.0,0.0,17.0,0.0,5.0,10.0,3.77,7.0,0.0,1.0,0.0,1.0,0.38,1.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,2.0,2.0,3.0,1.0,2.0,1.0,3.0,0.0,158.0,6.0,41.0,41.0,79.0,22.0,158.0,100.0,13.0,5.0,10.0,104.0,5.0,5.0,0.0,2.0,3.0,2.0,0.0,0.0,0.0,10.0,1.0,1.0,50.0
+"Federico Chiesa,it ITA,""MF,DF"",Juventus,22,1997,30.0,28.0,2210.0,8.0,8.0,0.0,0.0,3.0,1.0,0.33,0.33,0.65,0.33,0.65,6.1,6.1,0.25,0.25,24.6,25.0,0.0,41.7,1.02,0.13,0.32,0.11,1.9,1.9,605.0,798.0,75.8,9899.0,2894.0,305.0,363.0,84.0,224.0,279.0,80.3,55.0,88.0,62.5,45.0,51.0,40.0,14.0,79.0,744.0,51.0,4.0,4.0,6.0,70.0,16.0,5.0,6.0,0.0,31.0,3.0,26.0,89.0,3.63,63.0,6.0,6.0,3.0,16.0,0.65,10.0,0.0,1.0,1.0,1.0,47.0,26.0,21.0,14.0,12.0,23.0,1.0,22.0,12.0,16.0,0.0,1085.0,20.0,146.0,419.0,542.0,109.0,1085.0,642.0,92.0,48.0,40.0,752.0,40.0,23.0,0.0,30.0,36.0,11.0,2.0,0.0,0.0,104.0,6.0,28.0,17.6"
+Vlad Chiricheș,ro ROU,DF,Sassuolo,30,1989,24.0,22.0,1837.0,2.0,1.0,0.0,0.0,6.0,0.0,0.1,0.05,0.15,0.1,0.15,1.3,1.3,0.06,0.06,20.4,3.0,0.0,25.0,0.15,0.17,0.67,0.11,0.7,0.7,1505.0,1610.0,93.5,26044.0,8573.0,631.0,661.0,95.5,745.0,778.0,95.8,106.0,131.0,80.9,8.0,66.0,2.0,1.0,67.0,1572.0,37.0,32.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,5.0,1.0,10.0,25.0,1.23,21.0,0.0,2.0,1.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,38.0,23.0,34.0,3.0,1.0,31.0,21.0,10.0,50.0,59.0,2.0,1828.0,216.0,804.0,958.0,77.0,17.0,1828.0,1201.0,10.0,21.0,2.0,1349.0,11.0,5.0,0.0,31.0,14.0,1.0,0.0,0.0,1.0,135.0,52.0,45.0,53.6
+Luca Cigarini,it ITA,MF,Crotone,34,1986,14.0,13.0,929.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,10.3,2.0,3.0,13.3,0.19,0.0,0.0,0.04,-0.6,-0.6,628.0,757.0,83.0,11941.0,4614.0,269.0,289.0,93.1,253.0,295.0,85.8,93.0,135.0,68.9,16.0,89.0,11.0,2.0,90.0,680.0,67.0,48.0,0.0,5.0,24.0,17.0,10.0,2.0,0.0,2.0,10.0,9.0,41.0,3.97,25.0,12.0,1.0,2.0,3.0,0.29,2.0,0.0,0.0,1.0,0.0,26.0,14.0,11.0,12.0,3.0,10.0,1.0,9.0,12.0,9.0,0.0,858.0,31.0,194.0,529.0,141.0,4.0,858.0,443.0,14.0,7.0,2.0,618.0,10.0,10.0,1.0,27.0,18.0,0.0,1.0,0.0,0.0,65.0,9.0,9.0,50.0
+Antonio Cioffi,it ITA,FW,Napoli,17,2002,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,10.0,90.0,117.0,8.0,5.0,5.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,13.0,0.0,3.0,8.0,3.0,0.0,13.0,9.0,0.0,0.0,0.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Ebrima Colley,gm GAM,""MF,FW"",Hellas Verona,20,2000,23.0,4.0,734.0,1.0,0.0,0.0,0.0,1.0,0.0,0.12,0.0,0.12,0.12,0.12,1.7,1.7,0.21,0.21,8.2,7.0,0.0,41.2,0.86,0.06,0.14,0.1,-0.7,-0.7,183.0,255.0,71.8,2449.0,447.0,119.0,144.0,82.6,47.0,71.0,66.2,7.0,12.0,58.3,7.0,16.0,6.0,0.0,22.0,249.0,5.0,0.0,1.0,1.0,12.0,0.0,0.0,0.0,0.0,1.0,1.0,10.0,23.0,2.82,17.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,4.0,2.0,6.0,3.0,6.0,0.0,6.0,6.0,1.0,0.0,371.0,2.0,27.0,155.0,196.0,34.0,371.0,260.0,28.0,34.0,8.0,301.0,34.0,19.0,0.0,13.0,18.0,7.0,0.0,0.0,0.0,34.0,2.0,36.0,5.3"
+Omar Colley,gm GAM,DF,Sampdoria,27,1992,29.0,28.0,2591.0,2.0,0.0,0.0,0.0,6.0,0.0,0.07,0.0,0.07,0.07,0.07,1.1,1.1,0.04,0.04,28.8,3.0,0.0,25.0,0.1,0.17,0.67,0.09,0.9,0.9,1098.0,1360.0,80.7,22524.0,8809.0,323.0,376.0,85.9,596.0,662.0,90.0,160.0,286.0,55.9,2.0,91.0,0.0,0.0,87.0,1308.0,49.0,48.0,0.0,15.0,5.0,0.0,0.0,0.0,0.0,1.0,3.0,6.0,7.0,0.24,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,16.0,19.0,8.0,1.0,43.0,29.0,14.0,68.0,133.0,1.0,1679.0,232.0,919.0,717.0,53.0,21.0,1679.0,909.0,12.0,8.0,0.0,993.0,8.0,1.0,0.0,34.0,23.0,1.0,0.0,0.0,0.0,151.0,73.0,39.0,65.2
+Simone Colombi,it ITA,GK,Parma,29,1991,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,52.0,73.1,1288.0,1156.0,10.0,10.0,100.0,8.0,9.0,88.9,19.0,32.0,59.4,0.0,0.0,0.0,0.0,0.0,34.0,18.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,58.0,50.0,57.0,1.0,0.0,0.0,58.0,28.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Lorenzo Colombo,it ITA,FW,Milan,18,2002,4.0,1.0,94.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.57,0.57,1.0,1.0,0.0,25.0,0.96,0.0,0.0,0.15,-0.6,-0.6,7.0,13.0,53.8,73.0,25.0,4.0,6.0,66.7,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,13.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,1.89,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,26.0,2.0,4.0,12.0,11.0,5.0,26.0,13.0,4.0,1.0,1.0,15.0,2.0,1.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,7.0,2.0,4.0,33.3
+Andrea Consigli,it ITA,GK,Sassuolo,33,1987,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1102.0,1358.0,81.1,24274.0,16006.0,418.0,421.0,99.3,397.0,410.0,96.8,274.0,510.0,53.7,0.0,18.0,0.0,0.0,1.0,1023.0,331.0,91.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,0.11,4.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,4.0,1464.0,1075.0,1444.0,20.0,0.0,0.0,1464.0,859.0,0.0,0.0,0.0,712.0,1.0,0.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,45.0,16.0,2.0,88.9
+Andrea Conti,it ITA,DF,Milan,26,1994,3.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,24.0,87.5,406.0,122.0,7.0,7.0,100.0,13.0,16.0,81.3,1.0,1.0,100.0,1.0,1.0,1.0,0.0,3.0,21.0,3.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,3.0,9.64,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,29.0,2.0,8.0,17.0,4.0,0.0,29.0,17.0,3.0,1.0,0.0,20.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Andrea Conti,it ITA,DF,Parma,26,1994,11.0,9.0,809.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.06,0.06,9.0,2.0,0.0,40.0,0.22,0.0,0.0,0.1,-0.5,-0.5,373.0,461.0,80.9,6512.0,2536.0,160.0,180.0,88.9,176.0,213.0,82.6,30.0,48.0,62.5,7.0,29.0,10.0,6.0,42.0,371.0,90.0,13.0,0.0,1.0,24.0,1.0,0.0,1.0,0.0,76.0,0.0,12.0,12.0,1.34,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,10.0,16.0,4.0,1.0,13.0,4.0,9.0,16.0,23.0,0.0,556.0,29.0,195.0,269.0,96.0,14.0,556.0,252.0,20.0,12.0,0.0,312.0,6.0,4.0,0.0,15.0,8.0,0.0,0.0,0.0,0.0,36.0,7.0,8.0,46.7
+Alex Cordaz,it ITA,GK,Crotone,37,1983,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1045.0,1441.0,72.5,27128.0,20701.0,263.0,266.0,98.9,447.0,467.0,95.7,330.0,699.0,47.2,1.0,14.0,0.0,0.0,1.0,1021.0,419.0,113.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,0.08,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,2.0,1529.0,1287.0,1521.0,8.0,0.0,0.0,1529.0,841.0,0.0,0.0,0.0,720.0,1.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,49.0,4.0,0.0,100.0
+Andreas Cornelius,dk DEN,FW,Parma,27,1993,29.0,21.0,1898.0,1.0,4.0,0.0,0.0,4.0,0.0,0.05,0.19,0.24,0.05,0.24,2.9,2.9,0.14,0.14,21.1,7.0,0.0,23.3,0.33,0.03,0.14,0.1,-1.9,-1.9,397.0,591.0,67.2,5646.0,961.0,232.0,323.0,71.8,119.0,162.0,73.5,20.0,32.0,62.5,24.0,36.0,9.0,1.0,45.0,545.0,42.0,0.0,2.0,4.0,6.0,0.0,0.0,0.0,0.0,2.0,4.0,18.0,46.0,2.18,38.0,0.0,3.0,3.0,6.0,0.28,5.0,0.0,0.0,1.0,0.0,11.0,4.0,1.0,5.0,5.0,9.0,2.0,7.0,1.0,25.0,1.0,781.0,26.0,66.0,399.0,320.0,90.0,781.0,390.0,12.0,8.0,4.0,625.0,56.0,34.0,0.0,36.0,48.0,15.0,1.0,0.0,0.0,47.0,148.0,83.0,64.1
+Joaquín Correa,ar ARG,FW,Lazio,25,1994,28.0,25.0,1933.0,8.0,3.0,1.0,1.0,3.0,1.0,0.37,0.14,0.51,0.33,0.47,6.9,6.3,0.32,0.3,21.5,22.0,0.0,41.5,1.02,0.13,0.32,0.12,1.1,0.7,579.0,718.0,80.6,8706.0,1673.0,309.0,349.0,88.5,192.0,223.0,86.1,43.0,58.0,74.1,29.0,42.0,22.0,0.0,69.0,669.0,41.0,2.0,3.0,8.0,19.0,15.0,5.0,8.0,0.0,7.0,8.0,24.0,92.0,4.29,60.0,4.0,8.0,10.0,15.0,0.7,6.0,1.0,2.0,2.0,0.0,21.0,12.0,6.0,11.0,4.0,14.0,0.0,14.0,7.0,12.0,0.0,999.0,15.0,55.0,386.0,570.0,142.0,998.0,665.0,66.0,59.0,34.0,824.0,65.0,37.0,1.0,24.0,52.0,4.0,3.0,0.0,0.0,50.0,12.0,20.0,37.5
+Félix Correia,pt POR,MF,Juventus,19,2001,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,8.0,87.5,93.0,28.0,4.0,5.0,80.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,1.0,3.0,2.0,4.0,0.0,9.0,4.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Douglas Costa,br BRA,""MF,FW"",Juventus,29,1990,2.0,0.0,42.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,25.0,76.0,257.0,65.0,12.0,13.0,92.3,5.0,8.0,62.5,1.0,2.0,50.0,1.0,0.0,0.0,0.0,1.0,21.0,4.0,0.0,0.0,0.0,4.0,4.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,6.43,2.0,1.0,0.0,0.0,1.0,2.14,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,4.0,17.0,11.0,0.0,31.0,17.0,0.0,1.0,0.0,20.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0"
+Angelo da Costa Júnior,br BRA,GK,Bologna,36,1983,6.0,6.0,540.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,248.0,283.0,87.6,5919.0,3779.0,59.0,59.0,100.0,132.0,132.0,100.0,56.0,91.0,61.5,0.0,2.0,0.0,0.0,0.0,224.0,59.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,298.0,251.0,298.0,0.0,0.0,0.0,298.0,171.0,0.0,0.0,0.0,165.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0
+Mamadou Coulibaly,sn SEN,MF,Udinese,21,1999,3.0,2.0,184.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,59.0,80.0,73.8,943.0,252.0,28.0,37.0,75.7,19.0,23.0,82.6,7.0,8.0,87.5,2.0,9.0,3.0,1.0,12.0,80.0,0.0,0.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,3.42,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,8.0,5.0,5.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,110.0,1.0,11.0,63.0,36.0,2.0,110.0,51.0,1.0,0.0,0.0,63.0,6.0,4.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,13.0,0.0,7.0,0.0
+Alessio Cragno,it ITA,GK,Cagliari,26,1994,34.0,34.0,3060.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,671.0,964.0,69.6,18986.0,15706.0,175.0,176.0,99.4,227.0,233.0,97.4,259.0,541.0,47.9,0.0,8.0,0.0,0.0,0.0,597.0,365.0,91.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,0.12,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,10.0,0.0,1048.0,919.0,1041.0,7.0,0.0,0.0,1048.0,482.0,0.0,1.0,1.0,344.0,1.0,0.0,0.0,2.0,5.0,0.0,0.0,2.0,0.0,36.0,8.0,0.0,100.0
+Gian Crespi,it ITA,GK,Crotone,19,2001,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,40.0,87.5,815.0,686.0,11.0,11.0,100.0,14.0,14.0,100.0,9.0,14.0,64.3,0.0,0.0,0.0,0.0,0.0,27.0,13.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,37.0,40.0,0.0,0.0,0.0,40.0,17.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Domenico Criscito,it ITA,DF,Genoa,33,1986,23.0,20.0,1726.0,1.0,0.0,1.0,1.0,6.0,0.0,0.05,0.0,0.05,0.0,0.0,0.9,0.1,0.05,0.01,19.2,1.0,0.0,20.0,0.05,0.0,0.0,0.03,0.1,-0.1,872.0,1086.0,80.3,16300.0,6632.0,353.0,390.0,90.5,395.0,454.0,87.0,106.0,199.0,53.3,6.0,89.0,12.0,4.0,83.0,995.0,82.0,48.0,0.0,5.0,27.0,1.0,0.0,1.0,0.0,33.0,9.0,9.0,20.0,1.04,18.0,1.0,1.0,0.0,1.0,0.05,0.0,0.0,1.0,0.0,0.0,43.0,22.0,29.0,11.0,3.0,27.0,14.0,13.0,44.0,51.0,0.0,1279.0,120.0,521.0,639.0,132.0,6.0,1278.0,681.0,39.0,19.0,0.0,792.0,10.0,4.0,0.0,23.0,26.0,0.0,0.0,1.0,0.0,110.0,20.0,26.0,43.5
+"Bryan Cristante,it ITA,""DF,MF"",Roma,25,1995,34.0,22.0,2155.0,1.0,3.0,0.0,0.0,8.0,0.0,0.04,0.13,0.17,0.04,0.17,2.4,2.4,0.1,0.1,23.9,8.0,1.0,28.6,0.33,0.04,0.13,0.08,-1.4,-1.4,1224.0,1481.0,82.6,25163.0,9483.0,394.0,445.0,88.5,630.0,679.0,92.8,186.0,304.0,61.2,16.0,112.0,21.0,3.0,142.0,1420.0,52.0,48.0,5.0,13.0,12.0,1.0,0.0,0.0,1.0,3.0,9.0,18.0,41.0,1.79,35.0,0.0,4.0,0.0,8.0,0.35,7.0,0.0,0.0,0.0,1.0,27.0,20.0,10.0,14.0,3.0,21.0,7.0,14.0,40.0,61.0,1.0,1694.0,148.0,611.0,926.0,170.0,22.0,1694.0,1016.0,24.0,21.0,1.0,1252.0,19.0,5.0,0.0,31.0,13.0,4.0,0.0,0.0,1.0,141.0,30.0,30.0,50.0"
+Giovanni Crociata,it ITA,DF,Crotone,22,1997,2.0,0.0,26.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,15.0,73.3,163.0,62.0,7.0,8.0,87.5,4.0,7.0,57.1,0.0,0.0,0.0,1.0,2.0,1.0,0.0,4.0,14.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,3.46,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,21.0,1.0,3.0,8.0,11.0,1.0,21.0,12.0,3.0,1.0,0.0,15.0,3.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Juan Cuadrado,co COL,""DF,MF"",Juventus,32,1988,30.0,26.0,2175.0,2.0,10.0,1.0,1.0,9.0,1.0,0.08,0.41,0.5,0.04,0.46,2.3,1.5,0.1,0.06,24.2,6.0,0.0,33.3,0.25,0.06,0.17,0.09,-0.3,-0.5,1466.0,1788.0,82.0,26948.0,7280.0,621.0,685.0,90.7,661.0,743.0,89.0,168.0,290.0,57.9,60.0,94.0,35.0,8.0,132.0,1529.0,247.0,52.0,1.0,32.0,162.0,63.0,21.0,34.0,0.0,132.0,12.0,23.0,116.0,4.8,72.0,25.0,2.0,7.0,16.0,0.66,9.0,4.0,0.0,2.0,0.0,43.0,25.0,22.0,15.0,6.0,16.0,2.0,14.0,43.0,22.0,2.0,2028.0,42.0,426.0,923.0,705.0,71.0,2027.0,1217.0,93.0,68.0,37.0,1492.0,47.0,20.0,0.0,33.0,65.0,3.0,2.0,0.0,0.0,125.0,12.0,21.0,36.4"
+Giuseppe Cuomo,it ITA,DF,Crotone,22,1998,13.0,8.0,801.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,8.9,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.2,-0.2,412.0,516.0,79.8,7409.0,2875.0,155.0,175.0,88.6,224.0,249.0,90.0,28.0,71.0,39.4,0.0,15.0,1.0,0.0,44.0,483.0,32.0,18.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,14.0,1.0,11.0,2.0,0.22,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,19.0,17.0,9.0,0.0,10.0,2.0,8.0,18.0,19.0,1.0,623.0,48.0,314.0,289.0,21.0,4.0,623.0,306.0,6.0,4.0,0.0,378.0,6.0,7.0,0.0,15.0,6.0,0.0,0.0,0.0,0.0,59.0,22.0,6.0,78.6
+Patrick Cutrone,it ITA,FW,Fiorentina,22,1998,11.0,0.0,196.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,2.2,1.0,0.0,33.3,0.46,0.0,0.0,0.05,-0.2,-0.2,39.0,53.0,73.6,433.0,49.0,26.0,32.0,81.3,10.0,13.0,76.9,0.0,3.0,0.0,0.0,1.0,0.0,0.0,2.0,50.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,75.0,1.0,2.0,35.0,39.0,7.0,75.0,39.0,1.0,1.0,1.0,57.0,4.0,7.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,5.0,3.0,7.0,30.0
+Wylan Cyprien,fr FRA,MF,Parma,25,1995,13.0,2.0,410.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,4.6,1.0,3.0,16.7,0.22,0.0,0.0,0.04,-0.3,-0.3,248.0,299.0,82.9,4730.0,1033.0,94.0,105.0,89.5,119.0,130.0,91.5,30.0,52.0,57.7,4.0,18.0,3.0,1.0,20.0,272.0,26.0,11.0,0.0,4.0,19.0,15.0,3.0,11.0,0.0,0.0,1.0,2.0,16.0,3.52,11.0,3.0,0.0,2.0,1.0,0.22,1.0,0.0,0.0,0.0,0.0,9.0,4.0,5.0,3.0,1.0,13.0,8.0,5.0,5.0,6.0,1.0,345.0,16.0,106.0,185.0,57.0,1.0,345.0,191.0,4.0,3.0,0.0,238.0,5.0,4.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,26.0,5.0,1.0,83.3
+Lennart-Marten Czyborra,de GER,DF,Genoa,21,1999,17.0,15.0,1173.0,1.0,0.0,0.0,0.0,2.0,0.0,0.08,0.0,0.08,0.08,0.08,0.2,0.2,0.02,0.02,13.0,2.0,0.0,40.0,0.15,0.2,0.5,0.04,0.8,0.8,416.0,574.0,72.5,5970.0,2030.0,246.0,282.0,87.2,137.0,200.0,68.5,17.0,54.0,31.5,4.0,18.0,11.0,6.0,26.0,460.0,112.0,5.0,0.0,1.0,27.0,0.0,0.0,0.0,0.0,107.0,2.0,16.0,8.0,0.61,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,10.0,7.0,7.0,5.0,6.0,1.0,5.0,17.0,27.0,0.0,685.0,35.0,201.0,301.0,185.0,14.0,685.0,326.0,14.0,16.0,1.0,389.0,15.0,7.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,55.0,9.0,18.0,33.3
+Danilo D'Ambrosio,it ITA,DF,Inter,31,1988,19.0,7.0,699.0,3.0,0.0,0.0,0.0,2.0,0.0,0.39,0.0,0.39,0.39,0.39,1.3,1.3,0.16,0.16,7.8,6.0,0.0,75.0,0.77,0.38,0.5,0.16,1.7,1.7,431.0,476.0,90.5,7052.0,2371.0,180.0,191.0,94.2,200.0,210.0,95.2,27.0,37.0,73.0,3.0,35.0,1.0,1.0,35.0,436.0,38.0,19.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,19.0,2.0,6.0,9.0,1.16,5.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,6.0,7.0,2.0,9.0,7.0,2.0,4.0,15.0,0.0,544.0,51.0,220.0,259.0,66.0,10.0,544.0,326.0,5.0,5.0,0.0,400.0,9.0,3.0,0.0,11.0,11.0,0.0,0.0,0.0,0.0,35.0,10.0,10.0,50.0
+Bryan Dabo,bf BFA,MF,Benevento,28,1992,25.0,12.0,1117.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.06,0.06,12.4,2.0,0.0,16.7,0.16,0.0,0.0,0.06,-0.7,-0.7,437.0,570.0,76.7,7007.0,1927.0,229.0,277.0,82.7,158.0,197.0,80.2,33.0,53.0,62.3,7.0,45.0,8.0,2.0,60.0,553.0,15.0,11.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,4.0,2.0,10.0,23.0,1.85,22.0,0.0,0.0,1.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,11.0,8.0,5.0,3.0,3.0,7.0,1.0,6.0,13.0,16.0,0.0,703.0,29.0,127.0,402.0,185.0,21.0,703.0,371.0,25.0,24.0,3.0,478.0,29.0,8.0,0.0,17.0,19.0,1.0,0.0,0.0,0.0,84.0,52.0,19.0,73.2
+Diogo Dalot,pt POR,DF,Milan,21,1999,21.0,10.0,1090.0,1.0,1.0,0.0,0.0,5.0,0.0,0.08,0.08,0.17,0.08,0.17,0.4,0.4,0.03,0.03,12.1,5.0,0.0,50.0,0.41,0.1,0.2,0.04,0.6,0.6,467.0,620.0,75.3,8777.0,3113.0,195.0,224.0,87.1,208.0,270.0,77.0,61.0,102.0,59.8,9.0,44.0,14.0,8.0,39.0,511.0,107.0,7.0,1.0,6.0,34.0,3.0,0.0,1.0,0.0,97.0,2.0,13.0,21.0,1.73,16.0,1.0,2.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,32.0,17.0,23.0,6.0,3.0,18.0,5.0,13.0,25.0,42.0,0.0,773.0,54.0,241.0,363.0,177.0,17.0,773.0,347.0,28.0,12.0,7.0,415.0,16.0,4.0,0.0,25.0,4.0,2.0,0.0,0.0,0.0,65.0,21.0,8.0,72.4
+"Mikkel Damsgaard,dk DEN,""MF,FW"",Sampdoria,20,2000,35.0,18.0,1773.0,2.0,4.0,0.0,0.0,3.0,0.0,0.1,0.2,0.3,0.1,0.3,2.9,2.9,0.15,0.15,19.7,8.0,3.0,32.0,0.41,0.08,0.25,0.12,-0.9,-0.9,512.0,750.0,68.3,7508.0,2431.0,300.0,377.0,79.6,153.0,221.0,69.2,33.0,81.0,40.7,25.0,56.0,22.0,3.0,80.0,704.0,43.0,5.0,0.0,4.0,61.0,23.0,15.0,5.0,0.0,13.0,3.0,27.0,59.0,3.0,44.0,4.0,4.0,3.0,9.0,0.46,6.0,1.0,0.0,0.0,0.0,42.0,21.0,14.0,20.0,8.0,40.0,4.0,36.0,24.0,17.0,0.0,1033.0,15.0,139.0,453.0,468.0,52.0,1033.0,568.0,45.0,40.0,14.0,683.0,54.0,29.0,0.0,26.0,28.0,3.0,0.0,1.0,0.0,108.0,23.0,25.0,47.9"
+"Danilo,br BRA,""DF,MF"",Juventus,29,1991,34.0,32.0,2916.0,1.0,4.0,0.0,0.0,6.0,0.0,0.03,0.12,0.15,0.03,0.15,1.9,1.9,0.06,0.06,32.4,2.0,0.0,10.5,0.06,0.05,0.5,0.1,-0.9,-0.9,2184.0,2479.0,88.1,39579.0,12379.0,873.0,937.0,93.2,1094.0,1196.0,91.5,191.0,271.0,70.5,25.0,220.0,35.0,14.0,240.0,2272.0,201.0,52.0,2.0,16.0,39.0,0.0,0.0,0.0,0.0,149.0,6.0,32.0,66.0,2.04,61.0,1.0,2.0,1.0,5.0,0.15,5.0,0.0,0.0,0.0,0.0,62.0,31.0,37.0,16.0,9.0,32.0,12.0,20.0,66.0,68.0,2.0,2744.0,148.0,843.0,1565.0,364.0,23.0,2744.0,1511.0,59.0,39.0,5.0,2011.0,18.0,9.0,0.0,25.0,20.0,2.0,0.0,0.0,0.0,213.0,30.0,20.0,60.0"
+Andrea Danzi,it ITA,DF,Hellas Verona,21,1999,2.0,1.0,104.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,43.0,26.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,7.0,2.0,6.0,1.0,0.0,0.0,7.0,3.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Ebrima Darboe,gm GAM,MF,Roma,19,2001,5.0,4.0,323.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,248.0,264.0,93.9,4397.0,1416.0,102.0,107.0,95.3,119.0,123.0,96.7,24.0,27.0,88.9,2.0,26.0,0.0,0.0,23.0,260.0,4.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,10.0,2.78,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,1.0,1.0,3.0,0.0,3.0,8.0,0.0,1.0,289.0,5.0,65.0,201.0,27.0,0.0,289.0,193.0,3.0,2.0,0.0,212.0,3.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,40.0,2.0,4.0,33.3
+Matteo Darmian,it ITA,DF,Inter,30,1989,26.0,14.0,1160.0,3.0,3.0,0.0,0.0,4.0,0.0,0.23,0.23,0.47,0.23,0.47,1.5,1.5,0.12,0.12,12.9,4.0,0.0,44.4,0.31,0.33,0.75,0.17,1.5,1.5,418.0,515.0,81.2,6743.0,2233.0,225.0,247.0,91.1,158.0,186.0,84.9,27.0,50.0,54.0,10.0,13.0,14.0,8.0,25.0,408.0,102.0,7.0,0.0,1.0,30.0,0.0,0.0,0.0,0.0,95.0,5.0,13.0,30.0,2.33,19.0,5.0,1.0,2.0,4.0,0.31,3.0,0.0,0.0,1.0,0.0,30.0,16.0,12.0,7.0,11.0,9.0,2.0,7.0,17.0,35.0,0.0,634.0,44.0,192.0,217.0,228.0,26.0,634.0,269.0,19.0,7.0,5.0,359.0,7.0,5.0,0.0,21.0,16.0,2.0,1.0,1.0,0.0,42.0,13.0,9.0,59.1
+Matteo Darmian,it ITA,DF,Parma,30,1989,3.0,2.0,208.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,77.0,104.0,74.0,1219.0,368.0,41.0,47.0,87.2,32.0,37.0,86.5,4.0,13.0,30.8,1.0,2.0,0.0,0.0,6.0,81.0,22.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,19.0,1.0,6.0,1.0,0.43,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,3.0,3.0,0.0,2.0,0.0,2.0,6.0,7.0,0.0,125.0,7.0,57.0,48.0,21.0,0.0,125.0,43.0,1.0,1.0,0.0,70.0,1.0,1.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,12.0,2.0,2.0,50.0
+Paweł Dawidowicz,pl POL,DF,Hellas Verona,25,1995,30.0,22.0,1860.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,1.9,0.09,0.09,20.7,4.0,0.0,26.7,0.19,0.0,0.0,0.13,-1.9,-1.9,741.0,901.0,82.2,12832.0,4243.0,326.0,368.0,88.6,344.0,399.0,86.2,61.0,102.0,59.8,5.0,35.0,4.0,0.0,48.0,852.0,45.0,31.0,1.0,4.0,9.0,0.0,0.0,0.0,0.0,14.0,4.0,9.0,15.0,0.73,8.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,42.0,28.0,30.0,10.0,2.0,28.0,19.0,9.0,27.0,62.0,1.0,1111.0,127.0,550.0,463.0,103.0,20.0,1111.0,557.0,12.0,14.0,0.0,589.0,14.0,3.0,0.0,39.0,8.0,2.0,0.0,0.0,0.0,120.0,41.0,51.0,44.6
+Sebastien De Maio,fr FRA,DF,Udinese,33,1987,15.0,9.0,853.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.04,0.04,9.5,1.0,0.0,16.7,0.11,0.0,0.0,0.07,-0.4,-0.4,310.0,368.0,84.2,5849.0,2117.0,106.0,117.0,90.6,166.0,183.0,90.7,31.0,54.0,57.4,0.0,6.0,1.0,0.0,17.0,351.0,16.0,15.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,7.0,0.74,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,10.0,6.0,9.0,0.0,16.0,9.0,7.0,18.0,41.0,0.0,471.0,62.0,229.0,233.0,13.0,7.0,471.0,240.0,3.0,2.0,1.0,237.0,5.0,2.0,0.0,11.0,3.0,3.0,0.0,0.0,0.0,61.0,25.0,18.0,58.1
+Rodrigo De Paul,ar ARG,MF,Udinese,26,1994,36.0,36.0,3201.0,9.0,9.0,3.0,3.0,5.0,2.0,0.25,0.25,0.51,0.17,0.42,6.2,3.8,0.17,0.11,35.6,19.0,10.0,24.1,0.53,0.08,0.32,0.05,2.8,2.2,1549.0,2134.0,72.6,30867.0,10628.0,597.0,707.0,84.4,639.0,817.0,78.2,267.0,475.0,56.2,82.0,210.0,86.0,24.0,308.0,1813.0,300.0,176.0,12.0,38.0,262.0,111.0,31.0,65.0,0.0,13.0,21.0,38.0,180.0,5.06,104.0,37.0,9.0,13.0,18.0,0.51,12.0,1.0,2.0,1.0,0.0,41.0,24.0,17.0,22.0,2.0,32.0,1.0,31.0,17.0,20.0,1.0,2548.0,21.0,351.0,1257.0,996.0,59.0,2545.0,1675.0,167.0,142.0,21.0,1855.0,93.0,56.0,1.0,33.0,125.0,1.0,0.0,1.0,0.0,208.0,5.0,11.0,31.3
+Mattia De Sciglio,it ITA,DF,Juventus,27,1992,1.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,0.12,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,9.0,12.0,75.0,126.0,12.0,5.0,6.0,83.3,4.0,4.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,14.0,1.0,4.0,4.0,6.0,1.0,14.0,6.0,1.0,0.0,0.0,13.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Lorenzo De Silvestri,it ITA,DF,Bologna,32,1988,29.0,25.0,2143.0,2.0,0.0,0.0,0.0,4.0,0.0,0.08,0.0,0.08,0.08,0.08,2.1,2.1,0.09,0.09,23.8,6.0,0.0,54.5,0.25,0.18,0.33,0.19,-0.1,-0.1,954.0,1283.0,74.4,16287.0,7523.0,441.0,507.0,87.0,406.0,534.0,76.0,87.0,180.0,48.3,13.0,94.0,18.0,9.0,104.0,1061.0,221.0,33.0,0.0,7.0,43.0,0.0,0.0,0.0,0.0,188.0,1.0,27.0,26.0,1.09,20.0,3.0,1.0,1.0,1.0,0.04,0.0,0.0,0.0,1.0,0.0,34.0,24.0,18.0,13.0,3.0,37.0,10.0,27.0,30.0,62.0,3.0,1506.0,90.0,507.0,725.0,285.0,25.0,1506.0,741.0,28.0,21.0,2.0,876.0,13.0,13.0,0.0,42.0,18.0,1.0,0.0,0.0,0.0,97.0,49.0,35.0,58.3
+"Grégoire Defrel,mq MTQ,""MF,FW"",Sassuolo,29,1991,28.0,14.0,1336.0,3.0,3.0,0.0,0.0,1.0,0.0,0.2,0.2,0.4,0.2,0.4,2.1,2.1,0.14,0.14,14.8,9.0,0.0,40.9,0.61,0.14,0.33,0.1,0.9,0.9,360.0,413.0,87.2,4719.0,942.0,222.0,240.0,92.5,90.0,102.0,88.2,13.0,18.0,72.2,19.0,22.0,11.0,0.0,51.0,397.0,16.0,2.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,37.0,2.49,31.0,1.0,1.0,3.0,5.0,0.34,4.0,0.0,0.0,1.0,0.0,13.0,8.0,5.0,5.0,3.0,9.0,0.0,9.0,7.0,5.0,0.0,549.0,8.0,57.0,244.0,255.0,45.0,549.0,323.0,23.0,23.0,5.0,403.0,33.0,14.0,0.0,14.0,20.0,5.0,0.0,0.0,0.0,41.0,13.0,21.0,38.2"
+Alessandro Deiola,it ITA,MF,Spezia,24,1995,12.0,4.0,360.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,4.0,1.0,1.0,20.0,0.25,0.0,0.0,0.04,-0.2,-0.2,117.0,156.0,75.0,2153.0,449.0,51.0,57.0,89.5,45.0,55.0,81.8,16.0,29.0,55.2,8.0,7.0,0.0,0.0,12.0,146.0,10.0,4.0,0.0,4.0,8.0,5.0,0.0,4.0,0.0,1.0,0.0,6.0,10.0,2.49,7.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,3.0,1.0,3.0,1.0,2.0,3.0,1.0,0.0,184.0,8.0,35.0,96.0,56.0,7.0,184.0,104.0,3.0,2.0,1.0,122.0,6.0,2.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,21.0,3.0,4.0,42.9
+Alessandro Deiola,it ITA,MF,Cagliari,24,1995,12.0,7.0,615.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,6.8,1.0,0.0,16.7,0.15,0.0,0.0,0.04,-0.2,-0.2,197.0,241.0,81.7,3340.0,872.0,104.0,121.0,86.0,67.0,77.0,87.0,23.0,32.0,71.9,6.0,16.0,3.0,3.0,14.0,240.0,1.0,0.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,13.0,1.9,10.0,0.0,3.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,13.0,5.0,5.0,4.0,4.0,7.0,2.0,5.0,11.0,11.0,0.0,310.0,17.0,94.0,160.0,60.0,3.0,310.0,129.0,5.0,2.0,1.0,177.0,7.0,4.0,0.0,12.0,3.0,0.0,0.0,0.0,0.0,44.0,7.0,3.0,70.0
+Lorenzo Del Pinto,it ITA,MF,Benevento,30,1990,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,62.5,65.0,29.0,2.0,3.0,66.7,1.0,2.0,50.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,3.0,5.0,0.0,0.0,8.0,3.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Cristian Dell'Orco,it ITA,DF,Spezia,26,1994,8.0,2.0,262.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,2.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,112.0,143.0,78.3,2023.0,655.0,50.0,55.0,90.9,50.0,58.0,86.2,11.0,24.0,45.8,0.0,4.0,0.0,0.0,6.0,121.0,22.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,16.0,0.0,2.0,1.0,0.34,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,8.0,5.0,3.0,7.0,9.0,1.0,171.0,20.0,77.0,79.0,18.0,2.0,171.0,72.0,2.0,2.0,0.0,90.0,3.0,1.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,17.0,7.0,5.0,58.3
+Merih Demiral,tr TUR,DF,Juventus,22,1998,15.0,10.0,940.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.1,0.1,0.0,0.1,0.5,0.5,0.04,0.04,10.4,2.0,0.0,33.3,0.19,0.0,0.0,0.08,-0.5,-0.5,587.0,625.0,93.9,10490.0,3345.0,209.0,219.0,95.4,333.0,343.0,97.1,38.0,52.0,73.1,4.0,20.0,0.0,0.0,22.0,605.0,20.0,15.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,9.0,0.86,6.0,1.0,2.0,0.0,1.0,0.1,0.0,0.0,1.0,0.0,0.0,12.0,9.0,8.0,4.0,0.0,16.0,9.0,7.0,21.0,40.0,0.0,735.0,95.0,388.0,326.0,25.0,10.0,735.0,378.0,2.0,3.0,0.0,535.0,3.0,2.0,0.0,11.0,1.0,2.0,0.0,1.0,0.0,32.0,22.0,11.0,66.7
+Diego Demme,de GER,MF,Napoli,28,1991,24.0,20.0,1590.0,2.0,3.0,0.0,0.0,6.0,0.0,0.11,0.17,0.28,0.11,0.28,1.2,1.2,0.07,0.07,17.7,6.0,0.0,42.9,0.34,0.14,0.33,0.08,0.8,0.8,1110.0,1254.0,88.5,17972.0,4107.0,572.0,604.0,94.7,413.0,456.0,90.6,94.0,125.0,75.2,20.0,119.0,15.0,1.0,117.0,1225.0,23.0,22.0,2.0,5.0,5.0,0.0,0.0,0.0,0.0,1.0,6.0,22.0,34.0,1.92,31.0,0.0,0.0,0.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,56.0,32.0,26.0,22.0,8.0,14.0,1.0,13.0,11.0,15.0,1.0,1412.0,47.0,280.0,894.0,247.0,21.0,1412.0,887.0,27.0,31.0,2.0,1084.0,14.0,18.0,0.0,33.0,28.0,1.0,0.0,0.0,0.0,113.0,5.0,16.0,23.8
+Stefano Denswil,nl NED,DF,Bologna,27,1993,5.0,1.0,115.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,64.0,82.0,78.0,1314.0,454.0,19.0,24.0,79.2,35.0,37.0,94.6,9.0,14.0,64.3,0.0,6.0,1.0,0.0,6.0,73.0,9.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,6.0,2.0,1.57,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,89.0,2.0,38.0,36.0,15.0,0.0,89.0,49.0,1.0,1.0,0.0,58.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,6.0,3.0,1.0,75.0
+Fabio Depaoli,it ITA,DF,Benevento,23,1997,15.0,14.0,1120.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,12.4,2.0,0.0,25.0,0.16,0.0,0.0,0.04,-0.3,-0.3,290.0,411.0,70.6,5133.0,2761.0,131.0,154.0,85.1,121.0,154.0,78.6,31.0,69.0,44.9,8.0,21.0,13.0,7.0,34.0,330.0,78.0,9.0,1.0,6.0,23.0,0.0,0.0,0.0,0.0,69.0,3.0,17.0,15.0,1.21,9.0,2.0,3.0,0.0,1.0,0.08,0.0,0.0,1.0,0.0,0.0,25.0,13.0,15.0,6.0,4.0,16.0,4.0,12.0,12.0,38.0,0.0,544.0,49.0,216.0,221.0,114.0,11.0,544.0,232.0,4.0,9.0,1.0,266.0,10.0,7.0,0.0,17.0,8.0,1.0,0.0,0.0,1.0,45.0,12.0,14.0,46.2
+Fabio Depaoli,it ITA,MF,Sampdoria,23,1997,2.0,1.0,77.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.9,1.0,0.0,50.0,1.17,0.0,0.0,0.05,-0.1,-0.1,10.0,16.0,62.5,158.0,80.0,7.0,10.0,70.0,1.0,2.0,50.0,2.0,2.0,100.0,1.0,2.0,0.0,0.0,2.0,15.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.34,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,25.0,1.0,1.0,6.0,19.0,3.0,25.0,15.0,2.0,1.0,1.0,17.0,4.0,0.0,0.0,5.0,2.0,2.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Fabio Depaoli,it ITA,DF,Atalanta,23,1997,5.0,3.0,191.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,81.0,99.0,81.8,1070.0,445.0,51.0,56.0,91.1,22.0,26.0,84.6,3.0,6.0,50.0,3.0,4.0,0.0,0.0,8.0,86.0,12.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,12.0,1.0,4.0,3.0,1.41,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,1.0,2.0,4.0,0.0,4.0,3.0,2.0,0.0,125.0,2.0,17.0,61.0,47.0,4.0,125.0,59.0,3.0,3.0,0.0,82.0,5.0,3.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,9.0,2.0,3.0,40.0
+"Kastriot Dermaku,al ALB,""DF,MF"",Parma,28,1992,2.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,40.0,87.5,693.0,193.0,8.0,9.0,88.9,24.0,26.0,92.3,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,38.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,1.0,1.0,2.0,8.0,0.0,53.0,15.0,34.0,19.0,0.0,0.0,53.0,16.0,0.0,0.0,0.0,31.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0"
+Kiril Despodov,bg BUL,FW,Cagliari,23,1996,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,1.0,3.0,0.0,4.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Mattia Destro,it ITA,FW,Genoa,29,1991,29.0,22.0,1606.0,11.0,1.0,0.0,0.0,5.0,0.0,0.62,0.06,0.67,0.62,0.67,6.2,6.2,0.35,0.35,17.8,22.0,0.0,59.5,1.23,0.3,0.5,0.17,4.8,4.8,187.0,275.0,68.0,2422.0,442.0,118.0,160.0,73.8,37.0,59.0,62.7,10.0,17.0,58.8,7.0,10.0,3.0,1.0,13.0,249.0,26.0,0.0,1.0,5.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,17.0,0.95,9.0,0.0,2.0,1.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,6.0,3.0,0.0,3.0,3.0,11.0,0.0,11.0,4.0,8.0,0.0,456.0,10.0,37.0,236.0,191.0,79.0,456.0,280.0,22.0,11.0,12.0,346.0,44.0,20.0,0.0,39.0,37.0,22.0,0.0,0.0,0.0,40.0,34.0,61.0,35.8
+"Gerard Deulofeu,es ESP,""FW,MF"",Udinese,26,1994,13.0,7.0,598.0,1.0,1.0,0.0,0.0,0.0,0.0,0.15,0.15,0.3,0.15,0.3,1.4,1.4,0.21,0.21,6.6,9.0,1.0,52.9,1.35,0.06,0.11,0.08,-0.4,-0.4,166.0,248.0,66.9,2299.0,622.0,97.0,122.0,79.5,50.0,70.0,71.4,9.0,24.0,37.5,7.0,10.0,12.0,1.0,27.0,219.0,29.0,2.0,2.0,0.0,30.0,18.0,9.0,4.0,0.0,6.0,0.0,14.0,20.0,3.01,15.0,1.0,0.0,3.0,4.0,0.6,2.0,0.0,0.0,1.0,0.0,2.0,2.0,1.0,1.0,0.0,2.0,0.0,2.0,3.0,0.0,0.0,322.0,2.0,22.0,94.0,209.0,46.0,322.0,220.0,34.0,11.0,21.0,235.0,21.0,10.0,0.0,7.0,6.0,11.0,1.0,0.0,0.0,29.0,0.0,5.0,0.0"
+"Jacopo Dezi,it ITA,""FW,MF"",Parma,28,1992,2.0,1.0,79.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,33.0,44.0,75.0,455.0,90.0,19.0,20.0,95.0,11.0,16.0,68.8,2.0,6.0,33.3,1.0,2.0,1.0,0.0,5.0,36.0,8.0,0.0,1.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.28,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,2.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,55.0,0.0,6.0,27.0,22.0,2.0,55.0,24.0,0.0,2.0,0.0,37.0,3.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0"
+Samuel Di Carmine,it ITA,FW,Hellas Verona,31,1988,11.0,6.0,500.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,1.4,0.3,0.3,5.6,2.0,0.0,22.2,0.36,0.0,0.0,0.23,-1.4,-1.4,81.0,134.0,60.4,928.0,95.0,51.0,74.0,68.9,21.0,39.0,53.8,2.0,2.0,100.0,4.0,4.0,2.0,0.0,7.0,126.0,8.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,14.0,2.98,8.0,0.0,2.0,4.0,2.0,0.43,1.0,0.0,1.0,0.0,0.0,1.0,2.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,5.0,0.0,169.0,5.0,10.0,80.0,80.0,22.0,169.0,95.0,10.0,4.0,3.0,154.0,14.0,13.0,0.0,16.0,20.0,6.0,0.0,0.0,0.0,12.0,25.0,21.0,54.3
+Samuel Di Carmine,it ITA,FW,Crotone,31,1988,11.0,6.0,475.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.1,0.1,5.3,1.0,0.0,16.7,0.19,0.0,0.0,0.09,-0.5,-0.5,74.0,97.0,76.3,1058.0,116.0,37.0,44.0,84.1,23.0,32.0,71.9,5.0,6.0,83.3,0.0,3.0,3.0,0.0,10.0,85.0,12.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,0.76,0.0,0.0,0.0,4.0,2.0,0.38,0.0,0.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,1.0,2.0,0.0,2.0,0.0,5.0,0.0,140.0,5.0,13.0,78.0,49.0,9.0,140.0,81.0,5.0,3.0,1.0,114.0,8.0,5.0,0.0,5.0,15.0,0.0,1.0,0.0,0.0,12.0,15.0,15.0,50.0
+Giovanni Di Lorenzo,it ITA,DF,Napoli,26,1993,36.0,36.0,3240.0,3.0,6.0,0.0,0.0,11.0,0.0,0.08,0.17,0.25,0.08,0.25,3.8,3.8,0.11,0.11,36.0,12.0,0.0,42.9,0.33,0.11,0.25,0.14,-0.8,-0.8,2228.0,2586.0,86.2,34895.0,12760.0,1197.0,1283.0,93.3,829.0,932.0,88.9,142.0,215.0,66.0,48.0,227.0,61.0,13.0,259.0,2187.0,395.0,74.0,2.0,10.0,72.0,0.0,0.0,0.0,0.0,321.0,4.0,54.0,116.0,3.22,94.0,6.0,3.0,5.0,18.0,0.5,12.0,1.0,1.0,2.0,0.0,79.0,50.0,54.0,21.0,4.0,37.0,13.0,24.0,35.0,64.0,1.0,2917.0,118.0,795.0,1438.0,714.0,82.0,2917.0,1819.0,104.0,59.0,13.0,2038.0,31.0,16.0,0.0,49.0,60.0,3.0,1.0,1.0,0.0,177.0,55.0,40.0,57.9
+"Alessandro Di Pardo,it ITA,""FW,DF"",Juventus,21,1999,4.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,7.0,57.1,44.0,12.0,4.0,4.0,100.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,2.0,12.86,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,9.0,1.0,3.0,5.0,1.0,0.0,9.0,5.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0"
+"Giuseppe Di Serio,it ITA,""FW,MF"",Benevento,19,2001,16.0,1.0,292.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.2,0.2,3.2,2.0,0.0,50.0,0.62,0.0,0.0,0.16,-0.6,-0.6,55.0,74.0,74.3,728.0,219.0,25.0,30.0,83.3,21.0,24.0,87.5,2.0,5.0,40.0,1.0,2.0,3.0,0.0,10.0,71.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,8.0,2.47,5.0,0.0,2.0,1.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,5.0,0.0,5.0,0.0,4.0,0.0,106.0,3.0,14.0,41.0,53.0,10.0,106.0,66.0,9.0,5.0,3.0,86.0,10.0,12.0,0.0,13.0,17.0,2.0,0.0,0.0,0.0,12.0,7.0,17.0,29.2"
+Amad Diallo,ci CIV,MF,Atalanta,18,2002,1.0,0.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.19,0.19,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,9.0,10.0,90.0,159.0,63.0,5.0,5.0,100.0,3.0,4.0,75.0,1.0,1.0,100.0,1.0,2.0,1.0,0.0,3.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,12.86,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,0.0,9.0,5.0,1.0,14.0,13.0,1.0,1.0,0.0,14.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Amadou Diambo,gh GHA,FW,Benevento,19,2001,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,7.0,100.0,88.0,18.0,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,5.0,3.0,0.0,8.0,8.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Amadou Diawara,gn GUI,MF,Roma,23,1997,18.0,7.0,658.0,1.0,0.0,0.0,0.0,4.0,1.0,0.14,0.0,0.14,0.14,0.14,0.9,0.9,0.14,0.14,7.3,4.0,0.0,57.1,0.55,0.14,0.25,0.18,0.1,0.1,362.0,403.0,89.8,6789.0,1675.0,138.0,144.0,95.8,178.0,200.0,89.0,42.0,50.0,84.0,1.0,35.0,2.0,0.0,39.0,397.0,6.0,4.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,7.0,1.1,7.0,0.0,0.0,0.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,10.0,8.0,4.0,6.0,0.0,11.0,2.0,9.0,12.0,4.0,0.0,457.0,19.0,114.0,297.0,48.0,3.0,457.0,273.0,7.0,5.0,1.0,327.0,8.0,2.0,1.0,17.0,4.0,0.0,0.0,0.0,0.0,43.0,3.0,3.0,50.0
+"Brahim Díaz,es ESP,""MF,FW"",Milan,20,1999,27.0,15.0,1228.0,4.0,3.0,0.0,0.0,2.0,0.0,0.29,0.22,0.51,0.29,0.51,3.4,3.4,0.25,0.25,13.6,8.0,0.0,30.8,0.59,0.15,0.5,0.13,0.6,0.6,415.0,488.0,85.0,5535.0,1169.0,242.0,267.0,90.6,113.0,130.0,86.9,22.0,36.0,61.1,20.0,28.0,11.0,2.0,43.0,456.0,29.0,6.0,1.0,0.0,16.0,15.0,6.0,3.0,0.0,3.0,3.0,8.0,48.0,3.51,29.0,5.0,3.0,8.0,10.0,0.73,7.0,1.0,0.0,1.0,0.0,18.0,10.0,7.0,7.0,4.0,10.0,0.0,10.0,2.0,2.0,0.0,650.0,3.0,48.0,308.0,308.0,51.0,650.0,383.0,43.0,41.0,8.0,491.0,43.0,24.0,0.0,14.0,29.0,0.0,1.0,0.0,0.0,56.0,4.0,27.0,12.9"
+Daan Dierckx,be BEL,DF,Parma,17,2003,7.0,6.0,471.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,185.0,211.0,87.7,4118.0,1261.0,38.0,43.0,88.4,119.0,124.0,96.0,28.0,43.0,65.1,0.0,9.0,1.0,0.0,8.0,206.0,5.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,5.0,0.0,0.0,10.0,6.0,4.0,13.0,21.0,0.0,262.0,41.0,140.0,121.0,3.0,1.0,262.0,160.0,1.0,1.0,1.0,175.0,2.0,0.0,0.0,5.0,0.0,1.0,0.0,0.0,0.0,16.0,4.0,9.0,30.8
+Mitchell Dijks,nl NED,DF,Bologna,27,1993,20.0,18.0,1481.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.0,0.0,16.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,602.0,794.0,75.8,8969.0,4150.0,332.0,385.0,86.2,223.0,290.0,76.9,26.0,65.0,40.0,6.0,41.0,4.0,2.0,59.0,635.0,159.0,8.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,151.0,0.0,23.0,19.0,1.15,14.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,14.0,15.0,5.0,1.0,17.0,2.0,15.0,17.0,35.0,0.0,983.0,47.0,328.0,393.0,272.0,18.0,983.0,517.0,41.0,29.0,8.0,587.0,17.0,7.0,1.0,32.0,15.0,1.0,0.0,1.0,0.0,85.0,13.0,14.0,48.1
+Federico Dimarco,it ITA,DF,Hellas Verona,22,1997,35.0,29.0,2613.0,5.0,3.0,0.0,0.0,6.0,0.0,0.17,0.1,0.28,0.17,0.28,2.8,2.8,0.1,0.1,29.0,12.0,6.0,31.6,0.41,0.13,0.42,0.08,2.2,2.2,1298.0,1859.0,69.8,23419.0,9704.0,600.0,675.0,88.9,507.0,659.0,76.9,164.0,423.0,38.8,72.0,135.0,32.0,16.0,172.0,1472.0,378.0,112.0,0.0,17.0,262.0,119.0,38.0,74.0,0.0,147.0,9.0,43.0,117.0,4.17,51.0,54.0,5.0,4.0,6.0,0.21,5.0,1.0,0.0,0.0,0.0,32.0,19.0,23.0,7.0,2.0,18.0,9.0,9.0,47.0,50.0,1.0,2068.0,93.0,543.0,902.0,666.0,59.0,2068.0,1066.0,61.0,44.0,7.0,1232.0,26.0,9.0,0.0,32.0,50.0,6.0,0.0,1.0,0.0,192.0,15.0,27.0,35.7
+Koffi Djidji,ci CIV,DF,Crotone,27,1992,20.0,16.0,1524.0,1.0,0.0,0.0,0.0,4.0,0.0,0.06,0.0,0.06,0.06,0.06,0.3,0.3,0.02,0.02,16.9,2.0,0.0,50.0,0.12,0.25,0.5,0.07,0.7,0.7,606.0,757.0,80.1,10623.0,4354.0,259.0,289.0,89.6,286.0,330.0,86.7,49.0,105.0,46.7,4.0,42.0,2.0,0.0,56.0,679.0,76.0,22.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,54.0,2.0,11.0,9.0,0.53,9.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,39.0,28.0,30.0,8.0,1.0,35.0,20.0,15.0,28.0,73.0,0.0,963.0,116.0,478.0,441.0,49.0,5.0,963.0,485.0,17.0,13.0,0.0,538.0,13.0,10.0,0.0,22.0,2.0,1.0,0.0,0.0,0.0,85.0,27.0,22.0,55.1
+Berat Djimsiti,al ALB,DF,Atalanta,27,1993,33.0,28.0,2625.0,0.0,3.0,0.0,0.0,8.0,0.0,0.0,0.1,0.1,0.0,0.1,1.7,1.7,0.06,0.06,29.2,1.0,0.0,5.0,0.03,0.0,0.0,0.09,-1.7,-1.7,1568.0,1798.0,87.2,25553.0,8946.0,777.0,845.0,92.0,634.0,706.0,89.8,113.0,166.0,68.1,21.0,135.0,23.0,2.0,150.0,1706.0,91.0,40.0,0.0,10.0,9.0,0.0,0.0,0.0,0.0,51.0,1.0,17.0,40.0,1.37,32.0,2.0,5.0,0.0,7.0,0.24,4.0,1.0,2.0,0.0,0.0,41.0,29.0,27.0,12.0,2.0,34.0,20.0,14.0,62.0,89.0,1.0,2093.0,161.0,737.0,1051.0,318.0,49.0,2093.0,1209.0,42.0,52.0,5.0,1367.0,25.0,9.0,0.0,31.0,26.0,1.0,0.0,0.0,0.0,192.0,76.0,31.0,71.0
+Nicolás Domínguez,ar ARG,MF,Bologna,22,1998,28.0,15.0,1255.0,1.0,0.0,0.0,0.0,8.0,0.0,0.07,0.0,0.07,0.07,0.07,1.2,1.2,0.08,0.08,13.9,5.0,0.0,27.8,0.36,0.06,0.2,0.06,-0.2,-0.2,614.0,716.0,85.8,10181.0,3198.0,303.0,340.0,89.1,240.0,275.0,87.3,48.0,64.0,75.0,19.0,69.0,11.0,2.0,72.0,679.0,33.0,29.0,1.0,3.0,11.0,0.0,0.0,0.0,0.0,3.0,4.0,7.0,48.0,3.44,34.0,1.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,48.0,28.0,26.0,17.0,5.0,26.0,7.0,19.0,24.0,20.0,0.0,893.0,49.0,224.0,491.0,191.0,21.0,893.0,423.0,21.0,14.0,3.0,524.0,24.0,14.0,0.0,23.0,15.0,1.0,0.0,1.0,0.0,113.0,20.0,22.0,47.6
+Gianluigi Donnarumma,it ITA,GK,Milan,21,1999,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,979.0,1232.0,79.5,23908.0,17284.0,266.0,266.0,100.0,445.0,451.0,98.7,264.0,506.0,52.2,0.0,9.0,0.0,0.0,1.0,957.0,271.0,64.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,8.0,0.22,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,23.0,2.0,1321.0,1043.0,1314.0,9.0,0.0,0.0,1321.0,762.0,0.0,0.0,0.0,670.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,60.0,8.0,1.0,88.9
+Bartłomiej Drągowski,pl POL,GK,Fiorentina,22,1997,36.0,36.0,3148.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,699.0,1055.0,66.3,21471.0,16587.0,123.0,123.0,100.0,277.0,285.0,97.2,292.0,634.0,46.1,1.0,22.0,0.0,0.0,0.0,669.0,380.0,120.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,4.0,0.11,2.0,2.0,0.0,0.0,2.0,0.06,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,13.0,1.0,1149.0,963.0,1145.0,4.0,0.0,0.0,1149.0,590.0,0.0,0.0,0.0,407.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,1.0,0.0,43.0,6.0,1.0,85.7
+"Denis Drăguș,ro ROU,""FW,MF"",Crotone,21,1999,9.0,1.0,177.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,48.0,69.0,69.6,638.0,193.0,26.0,35.0,74.3,14.0,17.0,82.4,2.0,6.0,33.3,0.0,4.0,4.0,0.0,9.0,67.0,2.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.5,1.0,0.0,0.0,0.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,3.0,4.0,0.0,4.0,1.0,0.0,0.0,97.0,1.0,7.0,37.0,57.0,5.0,97.0,62.0,6.0,6.0,1.0,77.0,9.0,6.0,0.0,4.0,4.0,2.0,0.0,0.0,0.0,10.0,1.0,4.0,20.0"
+Radu Drăgușin,ro ROU,DF,Juventus,18,2002,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,14.0,13.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Léo Duarte,br BRA,DF,Milan,24,1996,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,100.0,237.0,54.0,2.0,2.0,100.0,10.0,10.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,14.0,1.0,12.0,2.0,0.0,0.0,14.0,8.0,0.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Alfred Duncan,gh GHA,MF,Fiorentina,27,1993,4.0,2.0,162.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,67.0,90.0,74.4,1279.0,403.0,31.0,38.0,81.6,23.0,31.0,74.2,12.0,16.0,75.0,1.0,6.0,0.0,0.0,10.0,84.0,5.0,4.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,6.0,3.33,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,1.0,1.0,2.0,0.0,2.0,2.0,0.0,0.0,105.0,0.0,14.0,66.0,26.0,1.0,105.0,66.0,1.0,3.0,0.0,68.0,2.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,4.0,33.3
+Alfred Duncan,gh GHA,MF,Cagliari,27,1993,19.0,12.0,1068.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.08,0.08,0.0,0.08,0.2,0.2,0.02,0.02,11.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.2,-0.2,482.0,598.0,80.6,8737.0,2676.0,218.0,246.0,88.6,199.0,233.0,85.4,58.0,92.0,63.0,10.0,68.0,14.0,0.0,73.0,584.0,13.0,10.0,1.0,5.0,12.0,0.0,0.0,0.0,0.0,3.0,1.0,10.0,20.0,1.69,16.0,2.0,1.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,18.0,10.0,8.0,9.0,1.0,8.0,0.0,8.0,16.0,8.0,1.0,706.0,28.0,135.0,443.0,136.0,5.0,706.0,389.0,16.0,14.0,3.0,483.0,22.0,8.0,0.0,16.0,12.0,0.0,0.0,0.0,0.0,77.0,8.0,12.0,40.0
+Paulo Dybala,ar ARG,FW,Juventus,26,1993,20.0,14.0,1132.0,4.0,3.0,0.0,0.0,0.0,0.0,0.32,0.24,0.56,0.32,0.56,4.6,4.6,0.36,0.36,12.6,15.0,5.0,29.4,1.19,0.08,0.27,0.09,-0.6,-0.6,576.0,705.0,81.7,9125.0,2005.0,320.0,345.0,92.8,167.0,206.0,81.1,61.0,105.0,58.1,30.0,46.0,26.0,2.0,74.0,604.0,98.0,19.0,1.0,7.0,65.0,53.0,5.0,36.0,0.0,4.0,3.0,13.0,70.0,5.56,42.0,13.0,5.0,4.0,3.0,0.24,2.0,0.0,1.0,0.0,0.0,14.0,8.0,3.0,4.0,7.0,15.0,0.0,15.0,1.0,1.0,0.0,880.0,2.0,53.0,367.0,467.0,61.0,880.0,496.0,39.0,35.0,14.0,687.0,35.0,18.0,0.0,10.0,29.0,3.0,0.0,0.0,0.0,32.0,2.0,9.0,18.2
+Edin Džeko,ba BIH,FW,Roma,34,1986,27.0,20.0,1824.0,7.0,3.0,0.0,1.0,2.0,0.0,0.35,0.15,0.49,0.35,0.49,13.2,12.4,0.65,0.61,20.3,24.0,0.0,34.8,1.18,0.1,0.29,0.18,-6.2,-5.4,338.0,512.0,66.0,5191.0,1244.0,197.0,264.0,74.6,96.0,135.0,71.1,26.0,39.0,66.7,29.0,23.0,19.0,0.0,53.0,464.0,42.0,0.0,0.0,8.0,16.0,0.0,0.0,0.0,0.0,3.0,6.0,23.0,64.0,3.16,46.0,0.0,7.0,6.0,8.0,0.39,6.0,0.0,0.0,1.0,0.0,8.0,6.0,2.0,3.0,3.0,9.0,4.0,5.0,1.0,11.0,0.0,731.0,15.0,29.0,325.0,386.0,131.0,730.0,353.0,50.0,29.0,24.0,589.0,56.0,31.0,0.0,25.0,37.0,10.0,1.0,0.0,0.0,28.0,82.0,54.0,60.3
+Steeve-Mike Ebongue,fr FRA,MF,Genoa,19,2001,3.0,0.0,52.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.73,1.73,0.0,1.73,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,27.0,74.1,198.0,54.0,15.0,18.0,83.3,1.0,1.0,100.0,1.0,1.0,100.0,2.0,1.0,0.0,0.0,1.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.73,0.0,0.0,0.0,0.0,1.0,1.73,0.0,0.0,0.0,0.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,1.0,14.0,14.0,6.0,0.0,33.0,19.0,1.0,0.0,0.0,16.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
+"Simone Edera,it ITA,""DF,MF"",Torino,23,1997,2.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.25,0.25,0.6,1.0,2.0,33.3,1.73,0.0,0.0,0.05,-0.1,-0.1,17.0,22.0,77.3,331.0,82.0,8.0,10.0,80.0,6.0,6.0,100.0,3.0,4.0,75.0,3.0,1.0,0.0,0.0,1.0,17.0,5.0,4.0,0.0,0.0,5.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,3.0,5.19,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,34.0,2.0,9.0,14.0,11.0,0.0,34.0,11.0,1.0,1.0,0.0,14.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0"
+Albin Ekdal,se SWE,MF,Sampdoria,31,1989,32.0,26.0,2299.0,2.0,1.0,0.0,0.0,9.0,0.0,0.08,0.04,0.12,0.08,0.12,0.9,0.9,0.04,0.04,25.5,3.0,0.0,21.4,0.12,0.14,0.67,0.06,1.1,1.1,878.0,1049.0,83.7,13941.0,4033.0,440.0,491.0,89.6,346.0,401.0,86.3,58.0,89.0,65.2,11.0,73.0,8.0,0.0,95.0,990.0,59.0,57.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,9.0,26.0,1.02,19.0,0.0,2.0,1.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,56.0,29.0,21.0,32.0,3.0,31.0,12.0,19.0,49.0,35.0,0.0,1326.0,62.0,345.0,808.0,192.0,22.0,1326.0,613.0,22.0,18.0,1.0,740.0,22.0,18.0,0.0,49.0,57.0,0.0,0.0,1.0,0.0,188.0,34.0,28.0,54.8
+"Elif Elmas,mk MKD,""MF,FW"",Napoli,20,1999,33.0,3.0,740.0,2.0,1.0,0.0,0.0,3.0,0.0,0.24,0.12,0.36,0.24,0.36,1.4,1.4,0.17,0.17,8.2,6.0,0.0,46.2,0.73,0.15,0.33,0.11,0.6,0.6,319.0,355.0,89.9,4423.0,596.0,204.0,220.0,92.7,88.0,96.0,91.7,17.0,19.0,89.5,12.0,16.0,3.0,1.0,18.0,348.0,6.0,3.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,2.0,1.0,5.0,23.0,2.8,18.0,0.0,1.0,1.0,6.0,0.73,2.0,0.0,1.0,0.0,0.0,15.0,4.0,3.0,6.0,6.0,11.0,1.0,10.0,2.0,10.0,0.0,446.0,8.0,65.0,225.0,160.0,25.0,446.0,276.0,27.0,17.0,9.0,344.0,18.0,9.0,0.0,10.0,8.0,1.0,0.0,0.0,0.0,36.0,2.0,10.0,16.7"
+Alan Empereur,br BRA,DF,Hellas Verona,26,1994,4.0,4.0,219.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,90.0,111.0,81.1,1684.0,521.0,31.0,37.0,83.8,52.0,56.0,92.9,7.0,14.0,50.0,0.0,11.0,0.0,0.0,14.0,108.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.9,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,6.0,7.0,1.0,129.0,9.0,39.0,81.0,10.0,1.0,129.0,73.0,2.0,2.0,0.0,94.0,0.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,7.0,2.0,3.0,40.0
+Christian Eriksen,dk DEN,MF,Inter,28,1992,26.0,17.0,1385.0,3.0,0.0,0.0,0.0,1.0,0.0,0.19,0.0,0.19,0.19,0.19,1.4,1.4,0.09,0.09,15.4,12.0,7.0,40.0,0.78,0.1,0.25,0.05,1.6,1.6,863.0,1061.0,81.3,15187.0,4457.0,394.0,434.0,90.8,346.0,398.0,86.9,97.0,174.0,55.7,30.0,81.0,17.0,4.0,86.0,942.0,113.0,36.0,0.0,9.0,103.0,75.0,26.0,37.0,0.0,1.0,6.0,13.0,59.0,3.83,34.0,21.0,4.0,0.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,12.0,6.0,6.0,4.0,2.0,16.0,1.0,15.0,9.0,13.0,1.0,1185.0,23.0,233.0,562.0,399.0,24.0,1185.0,665.0,28.0,34.0,3.0,860.0,18.0,19.0,0.0,13.0,4.0,1.0,0.0,1.0,0.0,109.0,8.0,6.0,57.1
+Martin Erlic,hr CRO,DF,Spezia,22,1998,27.0,19.0,1798.0,3.0,1.0,0.0,0.0,6.0,0.0,0.15,0.05,0.2,0.15,0.2,1.2,1.2,0.06,0.06,20.0,3.0,0.0,30.0,0.15,0.3,1.0,0.12,1.8,1.8,911.0,1075.0,84.7,19933.0,5357.0,222.0,262.0,84.7,526.0,580.0,90.7,156.0,215.0,72.6,1.0,57.0,3.0,1.0,58.0,1011.0,62.0,57.0,0.0,13.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,7.0,0.35,7.0,0.0,0.0,0.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,23.0,14.0,16.0,6.0,1.0,22.0,16.0,6.0,41.0,71.0,2.0,1267.0,139.0,644.0,603.0,32.0,16.0,1267.0,724.0,15.0,7.0,0.0,756.0,9.0,1.0,0.0,37.0,12.0,0.0,0.0,0.0,0.0,100.0,44.0,36.0,55.0
+Gonzalo Escalante,ar ARG,MF,Lazio,27,1993,24.0,4.0,733.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.12,0.12,0.0,0.12,0.7,0.7,0.08,0.08,8.1,3.0,0.0,42.9,0.37,0.0,0.0,0.1,-0.7,-0.7,422.0,481.0,87.7,7202.0,1979.0,190.0,209.0,90.9,191.0,211.0,90.5,35.0,44.0,79.5,2.0,39.0,2.0,0.0,45.0,474.0,6.0,5.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,14.0,1.72,11.0,0.0,1.0,1.0,3.0,0.37,2.0,0.0,1.0,0.0,0.0,26.0,13.0,11.0,14.0,1.0,10.0,3.0,7.0,19.0,13.0,0.0,573.0,16.0,141.0,382.0,56.0,3.0,573.0,302.0,11.0,11.0,0.0,353.0,6.0,2.0,0.0,14.0,8.0,0.0,0.0,0.0,0.0,67.0,12.0,18.0,40.0
+Nahuel Estévez,ar ARG,MF,Spezia,24,1995,27.0,19.0,1768.0,0.0,3.0,0.0,0.0,7.0,0.0,0.0,0.15,0.15,0.0,0.15,1.9,1.9,0.09,0.09,19.6,8.0,2.0,33.3,0.41,0.0,0.0,0.08,-1.9,-1.9,679.0,923.0,73.6,12104.0,3248.0,302.0,361.0,83.7,270.0,335.0,80.6,85.0,169.0,50.3,27.0,69.0,25.0,8.0,101.0,848.0,67.0,26.0,0.0,9.0,91.0,33.0,0.0,24.0,0.0,8.0,8.0,23.0,55.0,2.8,39.0,10.0,6.0,0.0,9.0,0.46,4.0,2.0,3.0,0.0,0.0,13.0,5.0,4.0,6.0,3.0,23.0,5.0,18.0,20.0,22.0,1.0,1093.0,30.0,139.0,582.0,390.0,34.0,1093.0,602.0,32.0,30.0,4.0,746.0,31.0,13.0,0.0,33.0,22.0,0.0,0.0,0.0,0.0,116.0,13.0,18.0,41.9
+"Valentin Eysseric,fr FRA,""MF,FW"",Fiorentina,28,1992,16.0,6.0,729.0,2.0,0.0,0.0,0.0,2.0,0.0,0.25,0.0,0.25,0.25,0.25,1.3,1.3,0.16,0.16,8.1,5.0,1.0,38.5,0.62,0.15,0.4,0.1,0.7,0.7,256.0,357.0,71.7,4331.0,1264.0,132.0,153.0,86.3,77.0,105.0,73.3,33.0,63.0,52.4,8.0,31.0,5.0,4.0,33.0,330.0,26.0,11.0,0.0,11.0,33.0,12.0,6.0,4.0,0.0,3.0,1.0,9.0,20.0,2.46,15.0,2.0,2.0,1.0,1.0,0.12,0.0,0.0,1.0,0.0,0.0,14.0,8.0,6.0,7.0,1.0,11.0,0.0,11.0,7.0,8.0,0.0,444.0,11.0,72.0,208.0,166.0,13.0,444.0,255.0,14.0,12.0,3.0,298.0,11.0,7.0,0.0,12.0,11.0,0.0,0.0,0.0,0.0,40.0,10.0,9.0,52.6"
+Nicolò Fagioli,it ITA,MF,Juventus,19,2001,1.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,20.0,90.0,286.0,129.0,9.0,9.0,100.0,8.0,8.0,100.0,1.0,2.0,50.0,0.0,3.0,0.0,0.0,1.0,18.0,2.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,8.57,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,23.0,1.0,7.0,14.0,2.0,0.0,23.0,15.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,50.0
+"Iago Falque,es ESP,""MF,FW"",Benevento,30,1990,11.0,4.0,358.0,1.0,1.0,0.0,0.0,0.0,0.0,0.25,0.25,0.5,0.25,0.5,0.4,0.4,0.11,0.11,4.0,1.0,0.0,9.1,0.25,0.09,1.0,0.04,0.6,0.6,159.0,212.0,75.0,2593.0,726.0,82.0,88.0,93.2,58.0,74.0,78.4,14.0,37.0,37.8,13.0,15.0,15.0,3.0,26.0,189.0,23.0,6.0,1.0,1.0,30.0,12.0,7.0,4.0,0.0,2.0,0.0,6.0,28.0,7.04,21.0,2.0,2.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,4.0,1.0,3.0,0.0,1.0,0.0,266.0,1.0,24.0,124.0,123.0,16.0,266.0,162.0,16.0,11.0,7.0,186.0,11.0,6.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,27.0,1.0,5.0,16.7"
+Andri Fannar Baldursson,is ISL,MF,Bologna,18,2002,8.0,1.0,217.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,54.0,73.0,74.0,833.0,221.0,28.0,33.0,84.8,25.0,31.0,80.6,1.0,6.0,16.7,1.0,5.0,2.0,0.0,6.0,69.0,4.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,1.65,4.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,6.0,6.0,1.0,2.0,3.0,3.0,1.0,2.0,3.0,7.0,0.0,106.0,7.0,34.0,53.0,20.0,3.0,106.0,52.0,1.0,2.0,0.0,64.0,6.0,4.0,0.0,7.0,3.0,1.0,0.0,0.0,0.0,8.0,3.0,6.0,33.3
+Paolo Faragò,it ITA,DF,Bologna,27,1993,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.21,0.21,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,11.0,13.0,84.6,159.0,70.0,6.0,7.0,85.7,5.0,5.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,12.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,7.83,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,16.0,2.0,4.0,6.0,6.0,2.0,16.0,13.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Paolo Faragò,it ITA,DF,Cagliari,27,1993,8.0,4.0,369.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,4.1,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,190.0,225.0,84.4,3092.0,1189.0,98.0,101.0,97.0,74.0,86.0,86.0,13.0,22.0,59.1,5.0,11.0,5.0,5.0,13.0,185.0,40.0,5.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,35.0,0.0,6.0,10.0,2.44,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,9.0,10.0,3.0,0.0,3.0,2.0,1.0,6.0,15.0,0.0,280.0,27.0,81.0,119.0,81.0,6.0,280.0,132.0,2.0,4.0,1.0,161.0,5.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,19.0,5.0,1.0,83.3
+Davide Faraoni,it ITA,DF,Hellas Verona,28,1991,34.0,33.0,2891.0,4.0,7.0,0.0,0.0,8.0,0.0,0.12,0.22,0.34,0.12,0.34,3.1,3.1,0.1,0.1,32.1,9.0,0.0,26.5,0.28,0.12,0.44,0.09,0.9,0.9,1024.0,1447.0,70.8,18184.0,7854.0,446.0,527.0,84.6,454.0,611.0,74.3,104.0,216.0,48.1,21.0,96.0,30.0,9.0,132.0,1163.0,274.0,30.0,0.0,6.0,62.0,0.0,0.0,0.0,0.0,244.0,10.0,37.0,49.0,1.57,37.0,3.0,1.0,2.0,8.0,0.26,6.0,1.0,0.0,0.0,0.0,62.0,33.0,36.0,19.0,7.0,48.0,17.0,31.0,49.0,83.0,1.0,1845.0,132.0,560.0,824.0,482.0,63.0,1845.0,838.0,26.0,26.0,3.0,972.0,46.0,15.0,0.0,47.0,38.0,9.0,0.0,0.0,0.0,227.0,42.0,34.0,55.3
+Mohamed Fares,dz ALG,DF,Lazio,24,1996,21.0,12.0,1139.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,0.7,0.5,0.05,0.04,12.7,4.0,0.0,28.6,0.32,0.0,0.0,0.04,-0.7,-0.5,412.0,540.0,76.3,6084.0,1520.0,227.0,254.0,89.4,132.0,175.0,75.4,25.0,55.0,45.5,14.0,27.0,16.0,14.0,24.0,468.0,70.0,6.0,0.0,1.0,60.0,0.0,0.0,0.0,0.0,64.0,2.0,18.0,32.0,2.53,26.0,2.0,1.0,0.0,3.0,0.24,2.0,0.0,1.0,0.0,0.0,20.0,15.0,9.0,7.0,4.0,14.0,1.0,13.0,16.0,21.0,0.0,685.0,27.0,167.0,262.0,263.0,21.0,685.0,362.0,26.0,20.0,4.0,409.0,19.0,6.0,0.0,28.0,7.0,2.0,0.0,1.0,0.0,68.0,10.0,15.0,40.0
+Diego Farias,br BRA,FW,Spezia,30,1990,29.0,17.0,1514.0,4.0,2.0,0.0,0.0,5.0,0.0,0.24,0.12,0.36,0.24,0.36,3.2,3.2,0.19,0.19,16.8,10.0,2.0,31.3,0.59,0.13,0.4,0.1,0.8,0.8,530.0,654.0,81.0,9082.0,1743.0,268.0,311.0,86.2,199.0,241.0,82.6,52.0,62.0,83.9,32.0,33.0,19.0,3.0,67.0,637.0,13.0,4.0,1.0,7.0,21.0,4.0,0.0,1.0,0.0,5.0,4.0,14.0,59.0,3.5,46.0,0.0,4.0,3.0,4.0,0.24,2.0,0.0,2.0,0.0,0.0,9.0,5.0,4.0,1.0,4.0,12.0,0.0,12.0,13.0,3.0,0.0,784.0,5.0,79.0,336.0,375.0,77.0,784.0,521.0,47.0,21.0,26.0,639.0,26.0,11.0,0.0,18.0,15.0,2.0,0.0,0.0,0.0,59.0,8.0,4.0,66.7
+Andrea Favilli,it ITA,FW,Hellas Verona,23,1997,11.0,2.0,339.0,2.0,0.0,0.0,0.0,1.0,0.0,0.53,0.0,0.53,0.53,0.53,1.6,1.6,0.42,0.42,3.8,4.0,0.0,30.8,1.06,0.15,0.5,0.12,0.4,0.4,54.0,80.0,67.5,803.0,104.0,27.0,41.0,65.9,17.0,21.0,81.0,5.0,6.0,83.3,2.0,3.0,1.0,0.0,2.0,75.0,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,1.86,6.0,0.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,2.0,2.0,0.0,2.0,0.0,2.0,0.0,143.0,2.0,4.0,61.0,81.0,22.0,143.0,89.0,7.0,6.0,3.0,127.0,22.0,15.0,0.0,14.0,8.0,9.0,0.0,0.0,0.0,8.0,17.0,27.0,38.6
+Federico Fazio,ar ARG,DF,Roma,33,1987,6.0,5.0,406.0,1.0,0.0,0.0,0.0,2.0,0.0,0.22,0.0,0.22,0.22,0.22,0.2,0.2,0.04,0.04,4.5,2.0,0.0,66.7,0.44,0.33,0.5,0.05,0.8,0.8,272.0,317.0,85.8,4679.0,1442.0,129.0,139.0,92.8,122.0,134.0,91.0,18.0,35.0,51.4,1.0,22.0,1.0,0.0,20.0,307.0,10.0,9.0,1.0,3.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,3.0,0.67,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,3.0,3.0,0.0,7.0,18.0,1.0,361.0,40.0,136.0,197.0,32.0,6.0,361.0,191.0,4.0,9.0,0.0,252.0,2.0,1.0,0.0,6.0,3.0,0.0,0.0,1.0,0.0,20.0,17.0,12.0,58.6
+Luiz Felipe,it ITA,DF,Lazio,23,1997,14.0,10.0,909.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,10.1,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.3,-0.3,500.0,548.0,91.2,9562.0,2810.0,173.0,188.0,92.0,271.0,288.0,94.1,51.0,62.0,82.3,3.0,36.0,2.0,1.0,29.0,528.0,20.0,17.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,9.0,0.89,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,20.0,19.0,11.0,2.0,20.0,9.0,11.0,21.0,29.0,1.0,669.0,62.0,305.0,333.0,35.0,4.0,669.0,400.0,9.0,6.0,0.0,445.0,7.0,2.0,0.0,14.0,8.0,1.0,0.0,0.0,0.0,58.0,14.0,16.0,46.7
+Alex Ferrari,it ITA,DF,Sampdoria,26,1994,12.0,11.0,880.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.1,0.1,0.0,0.1,0.0,0.0,0.0,0.0,9.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,411.0,493.0,83.4,7406.0,2655.0,160.0,178.0,89.9,197.0,224.0,87.9,43.0,66.0,65.2,4.0,25.0,1.0,1.0,32.0,428.0,63.0,18.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,44.0,2.0,6.0,9.0,0.92,7.0,0.0,0.0,2.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,27.0,15.0,16.0,9.0,2.0,18.0,6.0,12.0,23.0,26.0,0.0,602.0,59.0,301.0,241.0,65.0,7.0,602.0,307.0,1.0,1.0,0.0,345.0,9.0,4.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,55.0,17.0,8.0,68.0
+Salvador Ferrer,es ESP,DF,Spezia,22,1998,18.0,14.0,1190.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.08,0.08,0.0,0.08,0.1,0.1,0.01,0.01,13.2,1.0,0.0,33.3,0.08,0.0,0.0,0.03,-0.1,-0.1,676.0,908.0,74.4,12680.0,4232.0,291.0,339.0,85.8,273.0,348.0,78.4,106.0,172.0,61.6,14.0,35.0,19.0,16.0,46.0,731.0,176.0,20.0,0.0,7.0,57.0,2.0,0.0,0.0,0.0,154.0,1.0,31.0,27.0,2.04,24.0,2.0,0.0,0.0,3.0,0.23,2.0,1.0,0.0,0.0,0.0,20.0,10.0,10.0,8.0,2.0,13.0,4.0,9.0,24.0,37.0,1.0,1037.0,49.0,341.0,462.0,243.0,6.0,1037.0,547.0,28.0,19.0,0.0,601.0,12.0,7.0,0.0,15.0,7.0,0.0,0.0,1.0,0.0,78.0,25.0,16.0,61.0
+Marco Festa,it ITA,GK,Crotone,28,1992,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,36.0,86.1,883.0,725.0,10.0,10.0,100.0,8.0,8.0,100.0,13.0,18.0,72.2,0.0,0.0,0.0,0.0,0.0,23.0,13.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,35.0,39.0,0.0,0.0,0.0,39.0,21.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+"Fernando Forestieri,it ITA,""FW,MF"",Udinese,30,1990,19.0,3.0,552.0,1.0,1.0,0.0,0.0,1.0,0.0,0.16,0.16,0.33,0.16,0.33,1.5,1.5,0.25,0.25,6.1,3.0,0.0,27.3,0.49,0.09,0.33,0.14,-0.5,-0.5,150.0,194.0,77.3,1888.0,411.0,104.0,117.0,88.9,31.0,41.0,75.6,5.0,11.0,45.5,8.0,8.0,9.0,2.0,20.0,182.0,10.0,2.0,1.0,0.0,10.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,15.0,2.45,14.0,0.0,0.0,1.0,3.0,0.49,3.0,0.0,0.0,0.0,0.0,9.0,7.0,4.0,4.0,1.0,7.0,0.0,7.0,2.0,0.0,0.0,259.0,0.0,18.0,109.0,133.0,25.0,259.0,173.0,8.0,8.0,1.0,192.0,15.0,7.0,0.0,12.0,22.0,5.0,0.0,0.0,0.0,24.0,4.0,12.0,25.0"
+Daam Foulon,be BEL,DF,Benevento,21,1999,23.0,11.0,1021.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.09,0.09,0.0,0.09,0.0,0.0,0.0,0.0,11.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,321.0,447.0,71.8,5175.0,2031.0,159.0,194.0,82.0,133.0,174.0,76.4,20.0,50.0,40.0,4.0,23.0,7.0,4.0,36.0,354.0,92.0,12.0,0.0,0.0,27.0,1.0,0.0,1.0,0.0,79.0,1.0,13.0,10.0,0.88,8.0,2.0,0.0,0.0,1.0,0.09,0.0,1.0,0.0,0.0,0.0,26.0,15.0,21.0,5.0,0.0,12.0,3.0,9.0,14.0,34.0,0.0,556.0,48.0,222.0,227.0,116.0,3.0,556.0,265.0,16.0,11.0,1.0,316.0,11.0,4.0,0.0,16.0,22.0,0.0,0.0,0.0,1.0,36.0,11.0,6.0,64.7
+"Gianluca Frabotta,it ITA,""DF,MF"",Juventus,21,1999,15.0,8.0,689.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.13,0.13,0.0,0.13,0.2,0.2,0.03,0.03,7.7,2.0,0.0,40.0,0.26,0.0,0.0,0.05,-0.2,-0.2,400.0,477.0,83.9,6225.0,1883.0,209.0,228.0,91.7,160.0,180.0,88.9,19.0,39.0,48.7,4.0,25.0,6.0,3.0,32.0,412.0,64.0,8.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,56.0,1.0,8.0,14.0,1.83,13.0,0.0,0.0,0.0,2.0,0.26,2.0,0.0,0.0,0.0,0.0,7.0,4.0,5.0,0.0,2.0,9.0,1.0,8.0,14.0,15.0,0.0,544.0,18.0,150.0,242.0,155.0,15.0,544.0,264.0,14.0,10.0,3.0,360.0,8.0,6.0,0.0,12.0,2.0,0.0,0.0,0.0,0.0,43.0,12.0,14.0,46.2"
+Remo Freuler,ch SUI,MF,Atalanta,28,1992,34.0,32.0,2712.0,2.0,3.0,0.0,0.0,5.0,0.0,0.07,0.1,0.17,0.07,0.17,1.9,1.9,0.06,0.06,30.1,6.0,0.0,30.0,0.2,0.1,0.33,0.09,0.1,0.1,1876.0,2122.0,88.4,30938.0,10005.0,891.0,968.0,92.0,815.0,898.0,90.8,124.0,170.0,72.9,30.0,254.0,41.0,5.0,242.0,2030.0,89.0,66.0,2.0,18.0,19.0,2.0,0.0,0.0,0.0,21.0,3.0,25.0,89.0,2.95,73.0,3.0,3.0,4.0,14.0,0.46,12.0,0.0,0.0,0.0,1.0,63.0,39.0,17.0,38.0,8.0,52.0,4.0,48.0,39.0,27.0,2.0,2431.0,48.0,432.0,1429.0,593.0,49.0,2431.0,1454.0,73.0,69.0,9.0,1709.0,51.0,30.0,0.0,38.0,31.0,1.0,0.0,0.0,0.0,258.0,17.0,24.0,41.5
+Daniel Fuzato,br BRA,GK,Roma,23,1997,5.0,5.0,450.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,152.0,75.0,3150.0,2194.0,15.0,15.0,100.0,67.0,68.0,98.5,32.0,69.0,46.4,0.0,0.0,0.0,0.0,0.0,107.0,45.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,167.0,154.0,167.0,0.0,0.0,0.0,167.0,85.0,0.0,0.0,0.0,73.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,100.0
+Matteo Gabbia,it ITA,DF,Milan,20,1999,8.0,7.0,557.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.08,0.08,6.2,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.5,-0.5,331.0,361.0,91.7,6864.0,1845.0,93.0,99.0,93.9,187.0,199.0,94.0,46.0,55.0,83.6,0.0,19.0,0.0,0.0,20.0,353.0,8.0,7.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,0.32,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,3.0,6.0,0.0,8.0,6.0,2.0,3.0,21.0,0.0,415.0,52.0,203.0,200.0,12.0,6.0,415.0,224.0,2.0,1.0,0.0,284.0,2.0,0.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,33.0,17.0,10.0,63.0
+Manolo Gabbiadini,it ITA,FW,Sampdoria,28,1991,16.0,10.0,870.0,3.0,2.0,1.0,1.0,1.0,0.0,0.31,0.21,0.52,0.21,0.41,2.8,2.0,0.29,0.21,9.7,12.0,2.0,42.9,1.24,0.07,0.17,0.07,0.2,0.0,161.0,220.0,73.2,2312.0,712.0,94.0,120.0,78.3,43.0,58.0,74.1,11.0,16.0,68.8,11.0,19.0,9.0,0.0,27.0,215.0,3.0,1.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,26.0,2.69,18.0,1.0,3.0,2.0,6.0,0.62,3.0,0.0,2.0,0.0,0.0,2.0,2.0,0.0,2.0,0.0,3.0,1.0,2.0,3.0,5.0,0.0,296.0,6.0,33.0,138.0,125.0,27.0,295.0,173.0,11.0,11.0,4.0,233.0,18.0,5.0,0.0,12.0,18.0,3.0,0.0,0.0,0.0,23.0,12.0,22.0,35.3
+Roberto Gagliardini,it ITA,MF,Inter,26,1994,28.0,14.0,1232.0,3.0,2.0,0.0,0.0,2.0,0.0,0.22,0.15,0.37,0.22,0.37,1.2,1.2,0.09,0.09,13.7,5.0,0.0,29.4,0.37,0.18,0.6,0.07,1.8,1.8,517.0,601.0,86.0,7803.0,1851.0,294.0,325.0,90.5,173.0,193.0,89.6,31.0,50.0,62.0,8.0,59.0,7.0,1.0,54.0,590.0,9.0,6.0,0.0,8.0,10.0,1.0,0.0,0.0,0.0,2.0,2.0,9.0,22.0,1.61,16.0,1.0,2.0,1.0,7.0,0.51,5.0,0.0,0.0,1.0,0.0,30.0,17.0,17.0,8.0,5.0,15.0,3.0,12.0,19.0,16.0,0.0,733.0,28.0,139.0,412.0,191.0,34.0,733.0,402.0,27.0,19.0,5.0,543.0,19.0,6.0,0.0,23.0,16.0,0.0,0.0,0.0,0.0,55.0,19.0,11.0,63.3
+Riccardo Gagliolo,se SWE,DF,Parma,30,1990,28.0,22.0,1956.0,2.0,2.0,0.0,0.0,6.0,0.0,0.09,0.09,0.18,0.09,0.18,3.2,3.2,0.15,0.15,21.7,3.0,0.0,15.8,0.14,0.11,0.67,0.17,-1.2,-1.2,1074.0,1349.0,79.6,21319.0,9061.0,359.0,413.0,86.9,551.0,642.0,85.8,146.0,242.0,60.3,17.0,99.0,21.0,13.0,118.0,1195.0,148.0,36.0,0.0,12.0,38.0,0.0,0.0,0.0,0.0,111.0,6.0,13.0,39.0,1.79,33.0,3.0,1.0,1.0,3.0,0.14,3.0,0.0,0.0,0.0,0.0,45.0,18.0,35.0,8.0,2.0,34.0,7.0,27.0,36.0,64.0,1.0,1579.0,127.0,657.0,745.0,195.0,24.0,1579.0,872.0,37.0,19.0,1.0,1021.0,15.0,6.0,0.0,28.0,34.0,0.0,0.0,0.0,0.0,118.0,25.0,25.0,50.0
+Adolfo Gaich,ar ARG,FW,Benevento,21,1999,15.0,9.0,768.0,2.0,0.0,0.0,0.0,1.0,0.0,0.23,0.0,0.23,0.23,0.23,2.8,2.8,0.33,0.33,8.5,6.0,0.0,26.1,0.7,0.09,0.33,0.12,-0.8,-0.8,76.0,134.0,56.7,1121.0,179.0,42.0,63.0,66.7,19.0,31.0,61.3,9.0,12.0,75.0,5.0,4.0,2.0,1.0,4.0,126.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,13.0,1.52,7.0,0.0,2.0,2.0,2.0,0.23,0.0,0.0,0.0,0.0,1.0,9.0,4.0,1.0,7.0,1.0,4.0,0.0,4.0,2.0,4.0,0.0,251.0,5.0,18.0,127.0,110.0,38.0,251.0,136.0,10.0,7.0,7.0,186.0,26.0,13.0,0.0,24.0,19.0,3.0,0.0,1.0,0.0,16.0,14.0,39.0,26.4
+Andrey Galabinov,bg BUL,FW,Spezia,31,1988,12.0,4.0,430.0,3.0,1.0,0.0,1.0,0.0,0.0,0.63,0.21,0.84,0.63,0.84,3.0,2.2,0.62,0.45,4.8,3.0,0.0,42.9,0.63,0.43,1.0,0.31,0.0,0.8,73.0,103.0,70.9,1090.0,148.0,38.0,49.0,77.6,23.0,36.0,63.9,6.0,8.0,75.0,3.0,3.0,3.0,0.0,10.0,82.0,19.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,6.0,1.26,6.0,0.0,0.0,0.0,2.0,0.42,2.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,2.0,0.0,2.0,0.0,5.0,0.0,139.0,5.0,12.0,68.0,60.0,13.0,138.0,61.0,3.0,4.0,2.0,104.0,9.0,17.0,0.0,5.0,4.0,3.0,0.0,0.0,0.0,6.0,10.0,19.0,34.5
+Manuel Gasparini,it ITA,GK,Udinese,18,2002,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,59.0,53.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Gervinho,ci CIV,FW,Parma,33,1987,27.0,25.0,2021.0,5.0,1.0,0.0,0.0,0.0,0.0,0.22,0.04,0.27,0.22,0.27,3.5,3.5,0.16,0.16,22.5,12.0,0.0,37.5,0.53,0.16,0.42,0.11,1.5,1.5,432.0,536.0,80.6,5691.0,1144.0,276.0,315.0,87.6,132.0,151.0,87.4,7.0,10.0,70.0,27.0,28.0,15.0,2.0,53.0,515.0,17.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,2.0,4.0,20.0,66.0,2.94,45.0,0.0,2.0,3.0,4.0,0.18,2.0,0.0,0.0,1.0,0.0,5.0,1.0,2.0,2.0,1.0,11.0,1.0,10.0,10.0,3.0,0.0,721.0,4.0,51.0,264.0,421.0,97.0,721.0,528.0,84.0,44.0,58.0,565.0,45.0,24.0,0.0,8.0,11.0,20.0,0.0,0.0,0.0,70.0,0.0,2.0,0.0
+"Paolo Ghiglione,it ITA,""DF,MF"",Genoa,23,1997,23.0,14.0,1358.0,0.0,4.0,0.0,0.0,4.0,0.0,0.0,0.27,0.27,0.0,0.27,0.5,0.5,0.04,0.04,15.1,2.0,0.0,20.0,0.13,0.0,0.0,0.05,-0.5,-0.5,401.0,609.0,65.8,6829.0,2366.0,197.0,234.0,84.2,147.0,218.0,67.4,47.0,107.0,43.9,18.0,14.0,21.0,18.0,27.0,511.0,98.0,7.0,0.0,3.0,85.0,3.0,0.0,3.0,0.0,88.0,0.0,27.0,32.0,2.12,24.0,5.0,1.0,1.0,6.0,0.4,5.0,1.0,0.0,0.0,0.0,27.0,15.0,17.0,8.0,2.0,14.0,2.0,12.0,13.0,25.0,0.0,763.0,40.0,220.0,290.0,263.0,18.0,763.0,404.0,39.0,27.0,6.0,456.0,14.0,7.0,0.0,18.0,13.0,3.0,0.0,0.0,0.0,60.0,15.0,18.0,45.5"
+"Faouzi Ghoulam,dz ALG,""DF,FW"",Napoli,29,1991,11.0,3.0,289.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.2,0.0,2.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,206.0,258.0,79.8,3121.0,1114.0,113.0,125.0,90.4,75.0,92.0,81.5,11.0,25.0,44.0,7.0,7.0,7.0,5.0,11.0,210.0,46.0,16.0,0.0,0.0,29.0,12.0,3.0,6.0,0.0,18.0,2.0,5.0,13.0,4.05,6.0,5.0,2.0,0.0,1.0,0.31,0.0,0.0,1.0,0.0,0.0,6.0,5.0,3.0,2.0,1.0,4.0,2.0,2.0,3.0,1.0,0.0,279.0,5.0,52.0,138.0,92.0,2.0,279.0,143.0,3.0,11.0,1.0,194.0,3.0,3.0,0.0,2.0,7.0,1.0,0.0,0.0,0.0,17.0,7.0,1.0,87.5"
+Kamil Glik,pl POL,DF,Benevento,32,1988,36.0,36.0,3206.0,2.0,1.0,0.0,0.0,10.0,1.0,0.06,0.03,0.08,0.06,0.08,3.4,3.4,0.1,0.1,35.6,11.0,0.0,37.9,0.31,0.07,0.18,0.12,-1.4,-1.4,1148.0,1301.0,88.2,23627.0,7644.0,308.0,345.0,89.3,663.0,709.0,93.5,154.0,214.0,72.0,4.0,37.0,0.0,0.0,67.0,1233.0,65.0,57.0,0.0,13.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,18.0,0.51,14.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,24.0,33.0,10.0,1.0,37.0,31.0,6.0,62.0,153.0,0.0,1663.0,290.0,1022.0,586.0,64.0,46.0,1663.0,789.0,3.0,6.0,0.0,944.0,14.0,4.0,1.0,32.0,21.0,0.0,0.0,0.0,1.0,137.0,87.0,55.0,61.3
+Diego Godín,uy URU,DF,Cagliari,34,1986,28.0,28.0,2508.0,1.0,0.0,0.0,0.0,3.0,0.0,0.04,0.0,0.04,0.04,0.04,0.8,0.8,0.03,0.03,27.9,4.0,0.0,33.3,0.14,0.08,0.25,0.07,0.2,0.2,1296.0,1557.0,83.2,26885.0,11509.0,406.0,446.0,91.0,670.0,758.0,88.4,210.0,318.0,66.0,7.0,83.0,4.0,1.0,91.0,1453.0,97.0,86.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,3.0,7.0,13.0,24.0,0.86,22.0,0.0,1.0,1.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,60.0,32.0,51.0,9.0,0.0,41.0,24.0,17.0,56.0,117.0,0.0,1862.0,262.0,991.0,809.0,74.0,28.0,1862.0,1005.0,23.0,13.0,3.0,1128.0,7.0,4.0,0.0,31.0,28.0,2.0,0.0,0.0,0.0,154.0,68.0,42.0,61.8
+"Amer Gojak,ba BIH,""MF,FW"",Torino,23,1997,15.0,6.0,475.0,1.0,1.0,0.0,0.0,1.0,0.0,0.19,0.19,0.38,0.19,0.38,0.8,0.8,0.16,0.16,5.3,3.0,0.0,37.5,0.57,0.13,0.33,0.1,0.2,0.2,180.0,246.0,73.2,2895.0,573.0,107.0,119.0,89.9,47.0,72.0,65.3,21.0,39.0,53.8,7.0,11.0,4.0,3.0,15.0,218.0,27.0,10.0,0.0,4.0,36.0,14.0,5.0,9.0,0.0,2.0,1.0,7.0,18.0,3.41,9.0,5.0,3.0,0.0,2.0,0.38,0.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,5.0,0.0,5.0,3.0,1.0,0.0,285.0,4.0,28.0,144.0,119.0,11.0,285.0,192.0,8.0,5.0,1.0,212.0,8.0,4.0,0.0,12.0,9.0,3.0,0.0,0.0,0.0,21.0,1.0,10.0,9.1"
+Edoardo Goldaniga,it ITA,DF,Genoa,26,1993,25.0,19.0,1857.0,0.0,1.0,0.0,0.0,8.0,0.0,0.0,0.05,0.05,0.0,0.05,0.5,0.5,0.02,0.02,20.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.5,-0.5,650.0,893.0,72.8,11817.0,5294.0,286.0,327.0,87.5,289.0,380.0,76.1,69.0,154.0,44.8,7.0,61.0,13.0,7.0,68.0,791.0,98.0,19.0,1.0,5.0,33.0,0.0,0.0,0.0,0.0,79.0,4.0,13.0,13.0,0.63,13.0,0.0,0.0,0.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,28.0,18.0,21.0,7.0,0.0,17.0,7.0,10.0,38.0,62.0,1.0,1075.0,99.0,476.0,477.0,133.0,16.0,1075.0,586.0,21.0,25.0,3.0,638.0,10.0,3.0,0.0,30.0,24.0,1.0,0.0,0.0,0.0,75.0,25.0,36.0,41.0
+Vladimir Golemić,si SVN,DF,Crotone,29,1991,30.0,26.0,2341.0,2.0,0.0,1.0,1.0,4.0,1.0,0.08,0.0,0.08,0.04,0.04,1.2,0.4,0.05,0.02,26.0,2.0,0.0,40.0,0.08,0.2,0.5,0.09,0.8,0.6,1116.0,1311.0,85.1,21371.0,8884.0,387.0,427.0,90.6,610.0,664.0,91.9,109.0,190.0,57.4,6.0,44.0,3.0,0.0,59.0,1212.0,96.0,83.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,13.0,3.0,9.0,17.0,0.65,16.0,1.0,0.0,0.0,3.0,0.12,2.0,1.0,0.0,0.0,0.0,33.0,16.0,17.0,13.0,3.0,38.0,26.0,12.0,40.0,97.0,2.0,1554.0,233.0,955.0,565.0,41.0,14.0,1553.0,813.0,9.0,4.0,0.0,962.0,11.0,5.0,0.0,30.0,8.0,0.0,0.0,2.0,0.0,112.0,45.0,42.0,51.7
+Pierluigi Gollini,it ITA,GK,Atalanta,25,1995,25.0,25.0,2156.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,511.0,669.0,76.4,15171.0,10270.0,57.0,58.0,98.3,249.0,253.0,98.4,203.0,352.0,57.7,1.0,8.0,2.0,0.0,0.0,511.0,155.0,39.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,0.17,3.0,1.0,0.0,0.0,1.0,0.04,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,11.0,0.0,717.0,575.0,712.0,5.0,0.0,0.0,717.0,434.0,0.0,0.0,0.0,367.0,1.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,48.0,5.0,0.0,100.0
+Tomislav Gomelt,hr CRO,MF,Crotone,25,1995,2.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,18.0,94.4,298.0,90.0,7.0,7.0,100.0,8.0,8.0,100.0,2.0,2.0,100.0,0.0,2.0,0.0,0.0,3.0,17.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,4.74,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,21.0,2.0,8.0,12.0,1.0,0.0,21.0,11.0,1.0,0.0,0.0,16.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Papu Gómez,ar ARG,""MF,FW"",Atalanta,32,1988,10.0,9.0,666.0,4.0,2.0,0.0,0.0,0.0,0.0,0.54,0.27,0.81,0.54,0.81,2.5,2.5,0.34,0.34,7.4,12.0,3.0,41.4,1.62,0.14,0.33,0.09,1.5,1.5,354.0,435.0,81.4,6441.0,1990.0,148.0,169.0,87.6,151.0,172.0,87.8,44.0,70.0,62.9,19.0,43.0,31.0,6.0,70.0,400.0,32.0,11.0,1.0,4.0,27.0,15.0,10.0,4.0,0.0,5.0,3.0,8.0,37.0,5.0,22.0,5.0,2.0,2.0,5.0,0.68,4.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,8.0,1.0,7.0,1.0,1.0,0.0,511.0,4.0,42.0,243.0,234.0,20.0,511.0,365.0,32.0,23.0,6.0,402.0,11.0,10.0,0.0,10.0,19.0,0.0,0.0,0.0,0.0,48.0,0.0,2.0,0.0"
+Robin Gosens,de GER,DF,Atalanta,26,1994,32.0,30.0,2523.0,11.0,6.0,0.0,0.0,9.0,1.0,0.39,0.21,0.61,0.39,0.61,8.4,8.4,0.3,0.3,28.0,21.0,0.0,40.4,0.75,0.21,0.52,0.16,2.6,2.6,1320.0,1638.0,80.6,19206.0,7040.0,802.0,913.0,87.8,431.0,523.0,82.4,51.0,104.0,49.0,29.0,96.0,35.0,12.0,134.0,1429.0,207.0,13.0,0.0,8.0,62.0,0.0,0.0,0.0,0.0,194.0,2.0,34.0,79.0,2.82,65.0,2.0,4.0,2.0,13.0,0.46,12.0,1.0,0.0,0.0,0.0,46.0,35.0,20.0,15.0,11.0,50.0,7.0,43.0,41.0,34.0,0.0,1955.0,55.0,415.0,878.0,678.0,109.0,1955.0,1054.0,71.0,57.0,16.0,1301.0,41.0,16.0,1.0,50.0,26.0,9.0,0.0,2.0,1.0,167.0,36.0,20.0,64.3
+"Alberto Grassi,it ITA,""MF,DF"",Parma,25,1995,23.0,13.0,1177.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,13.1,3.0,0.0,30.0,0.23,0.0,0.0,0.05,-0.5,-0.5,362.0,461.0,78.5,5844.0,1540.0,176.0,212.0,83.0,152.0,175.0,86.9,26.0,45.0,57.8,3.0,28.0,3.0,0.0,34.0,426.0,33.0,13.0,0.0,3.0,11.0,0.0,0.0,0.0,0.0,19.0,2.0,12.0,15.0,1.14,9.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,11.0,14.0,13.0,3.0,22.0,9.0,13.0,26.0,32.0,0.0,637.0,48.0,192.0,328.0,124.0,16.0,637.0,297.0,13.0,9.0,3.0,355.0,24.0,4.0,0.0,16.0,27.0,1.0,0.0,0.0,1.0,63.0,13.0,9.0,59.1"
+Koray Günter,de GER,DF,Hellas Verona,25,1994,27.0,21.0,1768.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.1,0.1,0.0,0.1,0.3,0.3,0.02,0.02,19.6,2.0,0.0,33.3,0.1,0.0,0.0,0.05,-0.3,-0.3,973.0,1107.0,87.9,19841.0,7074.0,262.0,303.0,86.5,587.0,627.0,93.6,114.0,155.0,73.5,6.0,42.0,1.0,0.0,77.0,1070.0,35.0,33.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,13.0,0.69,12.0,0.0,1.0,0.0,3.0,0.16,2.0,0.0,1.0,0.0,0.0,20.0,10.0,10.0,9.0,1.0,27.0,21.0,6.0,70.0,87.0,0.0,1329.0,125.0,629.0,690.0,26.0,8.0,1329.0,665.0,5.0,6.0,1.0,716.0,5.0,1.0,0.0,31.0,11.0,0.0,0.0,1.0,0.0,124.0,73.0,53.0,57.9
+Manu Gyabuaa,it ITA,MF,Atalanta,18,2001,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,14.0,10.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Emmanuel Gyasi,gh GHA,FW,Spezia,26,1994,37.0,32.0,2851.0,4.0,6.0,0.0,0.0,4.0,0.0,0.13,0.19,0.32,0.13,0.32,5.1,5.1,0.16,0.16,31.7,15.0,0.0,51.7,0.47,0.14,0.27,0.18,-1.1,-1.1,775.0,942.0,82.3,10199.0,1546.0,495.0,551.0,89.8,205.0,253.0,81.0,29.0,45.0,64.4,27.0,23.0,29.0,4.0,69.0,931.0,8.0,1.0,1.0,4.0,30.0,1.0,0.0,0.0,0.0,4.0,3.0,23.0,65.0,2.05,56.0,0.0,3.0,2.0,10.0,0.32,9.0,0.0,0.0,0.0,0.0,30.0,16.0,16.0,10.0,4.0,13.0,2.0,11.0,14.0,8.0,0.0,1196.0,14.0,131.0,511.0,573.0,103.0,1196.0,781.0,70.0,37.0,39.0,955.0,75.0,44.0,0.0,65.0,52.0,28.0,1.0,0.0,0.0,134.0,27.0,51.0,34.6
+Achraf Hakimi,ma MAR,DF,Inter,21,1998,37.0,29.0,2665.0,7.0,8.0,0.0,0.0,6.0,0.0,0.24,0.27,0.51,0.24,0.51,4.7,4.7,0.16,0.16,29.6,16.0,2.0,41.0,0.54,0.18,0.44,0.12,2.3,2.3,1253.0,1539.0,81.4,18000.0,5633.0,738.0,837.0,88.2,380.0,454.0,83.7,69.0,113.0,61.1,36.0,66.0,47.0,19.0,98.0,1312.0,226.0,12.0,1.0,3.0,115.0,2.0,0.0,1.0,0.0,212.0,1.0,57.0,89.0,3.0,69.0,4.0,2.0,9.0,19.0,0.64,17.0,0.0,0.0,2.0,0.0,53.0,32.0,23.0,19.0,11.0,31.0,1.0,30.0,22.0,23.0,1.0,1847.0,45.0,366.0,674.0,824.0,137.0,1847.0,995.0,113.0,58.0,46.0,1258.0,57.0,17.0,0.0,31.0,36.0,7.0,2.0,0.0,0.0,124.0,16.0,28.0,36.4
+Samir Handanović,si SVN,GK,Inter,36,1984,37.0,37.0,3240.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,934.0,1080.0,86.5,22303.0,14189.0,210.0,210.0,100.0,508.0,515.0,98.6,215.0,349.0,61.6,0.0,5.0,1.0,0.0,0.0,864.0,214.0,47.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,5.0,0.14,5.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,1131.0,1024.0,1130.0,2.0,0.0,0.0,1131.0,653.0,0.0,0.0,0.0,620.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,33.0,6.0,0.0,100.0
+"Lukáš Haraslín,sk SVK,""FW,MF"",Sassuolo,24,1996,14.0,2.0,333.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.18,0.18,3.7,5.0,1.0,41.7,1.35,0.0,0.0,0.06,-0.7,-0.7,97.0,142.0,68.3,1397.0,342.0,59.0,75.0,78.7,29.0,37.0,78.4,5.0,20.0,25.0,9.0,1.0,7.0,0.0,13.0,116.0,26.0,6.0,0.0,1.0,19.0,14.0,4.0,9.0,0.0,6.0,0.0,4.0,16.0,4.32,9.0,3.0,1.0,3.0,2.0,0.54,1.0,0.0,0.0,1.0,0.0,8.0,4.0,2.0,5.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,195.0,5.0,22.0,63.0,110.0,19.0,195.0,130.0,11.0,8.0,4.0,138.0,11.0,3.0,0.0,7.0,18.0,2.0,1.0,1.0,0.0,21.0,2.0,1.0,66.7"
+Hans Hateboer,nl NED,DF,Atalanta,26,1994,22.0,20.0,1762.0,2.0,1.0,0.0,0.0,3.0,0.0,0.1,0.05,0.15,0.1,0.15,3.2,3.2,0.16,0.16,19.6,13.0,0.0,48.1,0.66,0.07,0.15,0.12,-1.2,-1.2,857.0,992.0,86.4,12183.0,4072.0,523.0,569.0,91.9,268.0,314.0,85.4,38.0,53.0,71.7,20.0,51.0,19.0,11.0,78.0,866.0,125.0,10.0,0.0,6.0,24.0,0.0,0.0,0.0,0.0,115.0,1.0,18.0,49.0,2.5,42.0,1.0,5.0,0.0,4.0,0.2,4.0,0.0,0.0,0.0,0.0,28.0,17.0,12.0,14.0,2.0,8.0,1.0,7.0,17.0,9.0,0.0,1147.0,24.0,218.0,498.0,439.0,67.0,1147.0,681.0,41.0,30.0,7.0,812.0,28.0,12.0,0.0,20.0,8.0,3.0,0.0,1.0,0.0,65.0,23.0,20.0,53.5
+Eduardo Henrique,br BRA,MF,Crotone,25,1995,18.0,8.0,924.0,1.0,0.0,0.0,0.0,4.0,0.0,0.1,0.0,0.1,0.1,0.1,0.9,0.9,0.09,0.09,10.3,1.0,0.0,11.1,0.1,0.11,1.0,0.1,0.1,0.1,325.0,398.0,81.7,4600.0,1422.0,182.0,205.0,88.8,111.0,130.0,85.4,14.0,25.0,56.0,6.0,35.0,4.0,0.0,43.0,389.0,9.0,6.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,5.0,11.0,1.07,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,4.0,0.0,6.0,1.0,5.0,7.0,7.0,1.0,479.0,11.0,95.0,300.0,89.0,13.0,479.0,288.0,15.0,11.0,2.0,347.0,9.0,17.0,0.0,18.0,14.0,1.0,0.0,0.0,0.0,54.0,9.0,19.0,32.1
+Theo Hernández,fr FRA,DF,Milan,22,1997,33.0,33.0,2933.0,7.0,5.0,0.0,0.0,9.0,0.0,0.21,0.15,0.37,0.21,0.37,4.3,4.3,0.13,0.13,32.6,13.0,3.0,27.7,0.4,0.15,0.54,0.09,2.7,2.7,1527.0,1891.0,80.8,23126.0,8040.0,878.0,970.0,90.5,495.0,599.0,82.6,103.0,182.0,56.6,42.0,125.0,42.0,13.0,133.0,1611.0,271.0,41.0,1.0,13.0,76.0,8.0,0.0,8.0,0.0,222.0,9.0,44.0,94.0,2.88,65.0,4.0,5.0,11.0,15.0,0.46,12.0,0.0,1.0,1.0,1.0,48.0,29.0,22.0,21.0,5.0,29.0,6.0,23.0,34.0,64.0,5.0,2287.0,107.0,548.0,1107.0,673.0,84.0,2287.0,1352.0,146.0,101.0,28.0,1485.0,62.0,27.0,0.0,39.0,81.0,6.0,2.0,0.0,0.0,211.0,50.0,25.0,66.7
+Hernani,br BRA,MF,Parma,26,1994,33.0,27.0,2189.0,7.0,3.0,1.0,1.0,11.0,0.0,0.29,0.12,0.41,0.25,0.37,3.4,2.6,0.14,0.11,24.3,8.0,7.0,25.0,0.33,0.19,0.75,0.08,3.6,3.4,845.0,1080.0,78.2,15986.0,4108.0,358.0,410.0,87.3,320.0,383.0,83.6,139.0,198.0,70.2,36.0,92.0,20.0,8.0,116.0,984.0,91.0,48.0,1.0,22.0,85.0,31.0,10.0,15.0,0.0,12.0,5.0,31.0,72.0,2.96,43.0,14.0,5.0,3.0,5.0,0.21,3.0,1.0,0.0,0.0,0.0,51.0,25.0,21.0,27.0,3.0,35.0,4.0,31.0,31.0,40.0,1.0,1384.0,54.0,284.0,757.0,356.0,26.0,1383.0,711.0,51.0,38.0,4.0,884.0,39.0,27.0,0.0,50.0,23.0,1.0,0.0,0.0,0.0,108.0,29.0,21.0,58.0
+Përparim Hetemaj,fi FIN,MF,Benevento,33,1986,31.0,27.0,2212.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,0.6,0.6,0.02,0.02,24.6,3.0,0.0,25.0,0.12,0.0,0.0,0.05,-0.6,-0.6,656.0,869.0,75.5,10388.0,3115.0,338.0,402.0,84.1,248.0,306.0,81.0,45.0,96.0,46.9,14.0,46.0,20.0,6.0,88.0,842.0,26.0,14.0,0.0,6.0,43.0,0.0,0.0,0.0,0.0,12.0,1.0,21.0,32.0,1.3,29.0,0.0,0.0,2.0,3.0,0.12,3.0,0.0,0.0,0.0,0.0,44.0,27.0,21.0,18.0,5.0,41.0,5.0,36.0,22.0,24.0,1.0,1122.0,27.0,271.0,610.0,258.0,22.0,1122.0,605.0,27.0,23.0,1.0,701.0,35.0,28.0,0.0,41.0,78.0,1.0,0.0,0.0,0.0,158.0,14.0,28.0,33.3
+Aaron Hickey,sct SCO,DF,Bologna,18,2002,11.0,10.0,758.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,8.4,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,337.0,397.0,84.9,5489.0,1742.0,160.0,174.0,92.0,142.0,165.0,86.1,21.0,34.0,61.8,2.0,30.0,3.0,1.0,36.0,314.0,81.0,13.0,0.0,3.0,7.0,0.0,0.0,0.0,0.0,68.0,2.0,6.0,7.0,0.83,6.0,0.0,1.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,12.0,8.0,10.0,2.0,0.0,6.0,1.0,5.0,15.0,15.0,1.0,495.0,26.0,149.0,235.0,115.0,8.0,495.0,282.0,21.0,17.0,4.0,268.0,16.0,8.0,0.0,11.0,14.0,0.0,0.0,0.0,0.0,51.0,6.0,5.0,54.5
+Wesley Hoedt,nl NED,DF,Lazio,26,1994,17.0,10.0,952.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.6,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,609.0,680.0,89.6,14302.0,5058.0,118.0,134.0,88.1,355.0,371.0,95.7,133.0,169.0,78.7,3.0,54.0,0.0,0.0,48.0,659.0,19.0,12.0,0.0,15.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,10.0,0.94,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,16.0,18.0,4.0,0.0,9.0,5.0,4.0,17.0,48.0,1.0,796.0,108.0,386.0,403.0,12.0,4.0,796.0,488.0,2.0,2.0,1.0,530.0,4.0,1.0,0.0,11.0,2.0,0.0,0.0,2.0,0.0,76.0,19.0,9.0,67.9
+Elseid Hysaj,al ALB,DF,Napoli,26,1994,24.0,20.0,1768.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.1,0.1,0.0,0.1,0.3,0.3,0.01,0.01,19.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.3,-0.3,1029.0,1226.0,83.9,15509.0,5056.0,586.0,650.0,90.2,330.0,382.0,86.4,73.0,118.0,61.9,15.0,79.0,10.0,1.0,86.0,1049.0,172.0,27.0,2.0,9.0,18.0,0.0,0.0,0.0,0.0,145.0,5.0,22.0,39.0,1.99,35.0,0.0,1.0,0.0,4.0,0.2,4.0,0.0,0.0,0.0,0.0,29.0,17.0,16.0,11.0,2.0,18.0,4.0,14.0,30.0,52.0,0.0,1407.0,77.0,429.0,751.0,242.0,14.0,1407.0,834.0,49.0,37.0,7.0,910.0,24.0,6.0,0.0,16.0,20.0,0.0,0.0,1.0,0.0,116.0,18.0,13.0,58.1
+Simone Iacoponi,it ITA,DF,Parma,33,1987,16.0,13.0,1193.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,13.3,1.0,0.0,33.3,0.08,0.0,0.0,0.04,-0.1,-0.1,645.0,750.0,86.0,13146.0,5179.0,219.0,232.0,94.4,318.0,353.0,90.1,104.0,140.0,74.3,0.0,46.0,2.0,0.0,57.0,670.0,78.0,27.0,0.0,9.0,13.0,0.0,0.0,0.0,0.0,50.0,2.0,13.0,6.0,0.45,3.0,1.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,22.0,12.0,16.0,5.0,1.0,9.0,4.0,5.0,11.0,42.0,1.0,853.0,91.0,386.0,392.0,81.0,6.0,853.0,510.0,7.0,7.0,0.0,562.0,8.0,0.0,0.0,15.0,14.0,2.0,0.0,0.0,2.0,72.0,12.0,9.0,57.1
+Roger Ibanez,br BRA,DF,Roma,21,1998,30.0,28.0,2398.0,0.0,2.0,0.0,0.0,7.0,1.0,0.0,0.08,0.08,0.0,0.08,1.2,1.2,0.05,0.05,26.6,4.0,0.0,25.0,0.15,0.0,0.0,0.08,-1.2,-1.2,1434.0,1649.0,87.0,27017.0,9121.0,539.0,589.0,91.5,732.0,786.0,93.1,148.0,229.0,64.6,11.0,104.0,3.0,0.0,104.0,1565.0,82.0,73.0,2.0,19.0,5.0,0.0,0.0,0.0,0.0,6.0,2.0,10.0,29.0,1.13,20.0,1.0,2.0,0.0,5.0,0.19,5.0,0.0,0.0,0.0,0.0,59.0,37.0,28.0,25.0,6.0,38.0,17.0,21.0,68.0,78.0,3.0,1960.0,175.0,801.0,1094.0,87.0,20.0,1960.0,1130.0,40.0,26.0,5.0,1290.0,21.0,8.0,1.0,53.0,30.0,0.0,0.0,1.0,1.0,187.0,56.0,36.0,60.9
+Zlatan Ibrahimović,se SWE,FW,Milan,38,1981,19.0,18.0,1493.0,15.0,2.0,3.0,6.0,2.0,1.0,0.9,0.12,1.02,0.72,0.84,16.2,11.9,0.98,0.72,16.6,34.0,7.0,45.3,2.05,0.16,0.35,0.16,-1.2,0.1,380.0,544.0,69.9,5184.0,1472.0,222.0,298.0,74.5,108.0,143.0,75.5,20.0,31.0,64.5,20.0,37.0,21.0,0.0,61.0,494.0,46.0,4.0,5.0,1.0,15.0,3.0,0.0,0.0,0.0,3.0,4.0,17.0,65.0,3.92,37.0,0.0,16.0,7.0,12.0,0.72,5.0,0.0,5.0,1.0,0.0,5.0,4.0,0.0,4.0,1.0,5.0,3.0,2.0,6.0,27.0,1.0,742.0,33.0,38.0,297.0,413.0,144.0,736.0,356.0,31.0,27.0,11.0,584.0,32.0,11.0,0.0,33.0,25.0,40.0,2.0,0.0,0.0,21.0,83.0,41.0,66.9
+Igor,br BRA,DF,Fiorentina,22,1998,21.0,13.0,1168.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,13.0,1.0,0.0,100.0,0.08,0.0,0.0,0.26,-0.3,-0.3,722.0,814.0,88.7,13697.0,4698.0,248.0,272.0,91.2,398.0,431.0,92.3,68.0,92.0,73.9,3.0,48.0,4.0,1.0,78.0,758.0,55.0,28.0,0.0,8.0,4.0,0.0,0.0,0.0,0.0,27.0,1.0,4.0,13.0,1.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,9.0,6.0,0.0,17.0,9.0,8.0,23.0,34.0,0.0,924.0,61.0,307.0,552.0,73.0,4.0,924.0,595.0,27.0,13.0,0.0,645.0,6.0,6.0,0.0,21.0,6.0,1.0,0.0,1.0,0.0,59.0,10.0,13.0,43.5
+Ivan Ilić,rs SRB,MF,Hellas Verona,19,2001,29.0,19.0,1835.0,2.0,0.0,0.0,0.0,2.0,0.0,0.1,0.0,0.1,0.1,0.1,1.6,1.6,0.08,0.08,20.4,3.0,1.0,25.0,0.15,0.17,0.67,0.14,0.4,0.4,959.0,1150.0,83.4,16820.0,4490.0,410.0,462.0,88.7,451.0,499.0,90.4,80.0,137.0,58.4,17.0,108.0,14.0,2.0,134.0,1061.0,83.0,57.0,0.0,5.0,40.0,22.0,10.0,11.0,0.0,1.0,6.0,18.0,47.0,2.32,32.0,4.0,2.0,7.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,26.0,14.0,11.0,11.0,4.0,17.0,5.0,12.0,27.0,26.0,0.0,1327.0,37.0,216.0,873.0,255.0,13.0,1327.0,747.0,38.0,29.0,1.0,877.0,26.0,13.0,0.0,23.0,29.0,0.0,0.0,0.0,0.0,125.0,35.0,25.0,58.3
+"Josip Iličić,si SVN,""MF,FW"",Atalanta,32,1988,28.0,17.0,1526.0,6.0,9.0,2.0,2.0,2.0,0.0,0.35,0.53,0.88,0.24,0.77,4.9,3.3,0.29,0.2,17.0,17.0,4.0,29.8,1.0,0.07,0.24,0.06,1.1,0.7,729.0,1009.0,72.2,12576.0,4094.0,362.0,434.0,83.4,247.0,324.0,76.2,92.0,170.0,54.1,61.0,83.0,70.0,12.0,144.0,921.0,86.0,29.0,9.0,25.0,97.0,44.0,21.0,14.0,0.0,9.0,2.0,30.0,110.0,6.5,81.0,10.0,5.0,7.0,18.0,1.06,12.0,0.0,2.0,2.0,0.0,9.0,4.0,1.0,5.0,3.0,12.0,0.0,12.0,2.0,0.0,1.0,1269.0,1.0,56.0,471.0,750.0,99.0,1267.0,932.0,88.0,75.0,37.0,1076.0,74.0,45.0,0.0,22.0,71.0,8.0,2.0,0.0,0.0,75.0,0.0,18.0,0.0"
+Ciro Immobile,it ITA,FW,Lazio,30,1990,35.0,34.0,2849.0,20.0,6.0,4.0,8.0,4.0,1.0,0.63,0.19,0.82,0.51,0.69,19.8,13.6,0.63,0.43,31.7,44.0,0.0,39.3,1.39,0.14,0.36,0.12,0.2,2.4,651.0,897.0,72.6,8700.0,1781.0,393.0,488.0,80.5,155.0,214.0,72.4,41.0,65.0,63.1,53.0,36.0,32.0,1.0,84.0,867.0,27.0,3.0,3.0,3.0,18.0,6.0,4.0,1.0,0.0,10.0,3.0,31.0,118.0,3.73,86.0,0.0,14.0,8.0,15.0,0.47,8.0,0.0,2.0,4.0,0.0,14.0,13.0,4.0,6.0,4.0,13.0,1.0,12.0,6.0,9.0,0.0,1218.0,10.0,94.0,443.0,692.0,207.0,1210.0,700.0,74.0,43.0,38.0,968.0,71.0,34.0,0.0,37.0,44.0,30.0,3.0,0.0,0.0,79.0,26.0,54.0,32.5
+"Riccardo Improta,it ITA,""DF,MF"",Benevento,26,1993,34.0,23.0,2335.0,1.0,0.0,0.0,0.0,7.0,0.0,0.04,0.0,0.04,0.04,0.04,2.0,2.0,0.08,0.08,25.9,6.0,0.0,17.1,0.23,0.03,0.17,0.06,-1.0,-1.0,658.0,936.0,70.3,10025.0,4208.0,362.0,428.0,84.6,213.0,291.0,73.2,51.0,116.0,44.0,21.0,66.0,33.0,18.0,81.0,853.0,80.0,8.0,0.0,2.0,77.0,0.0,0.0,0.0,0.0,71.0,3.0,46.0,60.0,2.31,50.0,2.0,4.0,2.0,4.0,0.15,4.0,0.0,0.0,0.0,0.0,39.0,23.0,25.0,8.0,6.0,23.0,4.0,19.0,28.0,47.0,0.0,1205.0,70.0,297.0,499.0,423.0,53.0,1205.0,665.0,58.0,50.0,10.0,788.0,35.0,19.0,0.0,23.0,55.0,2.0,0.0,0.0,1.0,121.0,49.0,49.0,50.0"
+Roberto Inglese,it ITA,FW,Parma,28,1991,14.0,6.0,576.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.31,0.31,0.0,0.31,0.8,0.8,0.13,0.13,6.4,5.0,0.0,62.5,0.78,0.0,0.0,0.1,-0.8,-0.8,74.0,116.0,63.8,1023.0,170.0,45.0,61.0,73.8,21.0,34.0,61.8,2.0,4.0,50.0,4.0,5.0,2.0,0.0,9.0,100.0,16.0,0.0,1.0,2.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,1.25,5.0,0.0,2.0,0.0,2.0,0.31,2.0,0.0,0.0,0.0,0.0,5.0,2.0,1.0,2.0,2.0,10.0,0.0,10.0,0.0,3.0,0.0,197.0,4.0,19.0,111.0,71.0,13.0,197.0,111.0,1.0,2.0,2.0,144.0,39.0,12.0,0.0,14.0,10.0,8.0,0.0,0.0,0.0,19.0,15.0,15.0,50.0
+Lorenzo Insigne,it ITA,FW,Napoli,29,1991,35.0,33.0,2865.0,19.0,8.0,7.0,8.0,2.0,1.0,0.6,0.25,0.85,0.38,0.63,15.6,9.3,0.49,0.29,31.8,40.0,13.0,29.4,1.26,0.09,0.3,0.07,3.4,2.7,1486.0,1872.0,79.4,24219.0,6030.0,824.0,906.0,90.9,437.0,555.0,78.7,161.0,265.0,60.8,63.0,115.0,84.0,11.0,192.0,1682.0,174.0,64.0,10.0,48.0,113.0,64.0,36.0,2.0,0.0,40.0,16.0,36.0,164.0,5.16,113.0,12.0,21.0,2.0,17.0,0.53,11.0,1.0,3.0,0.0,0.0,26.0,18.0,8.0,12.0,6.0,30.0,1.0,29.0,37.0,6.0,1.0,2280.0,22.0,250.0,1028.0,1040.0,143.0,2272.0,1469.0,138.0,95.0,54.0,1710.0,63.0,34.0,0.0,9.0,39.0,11.0,0.0,0.0,0.0,199.0,2.0,5.0,28.6
+"Roberto Insigne,it ITA,""MF,FW"",Benevento,26,1994,30.0,17.0,1599.0,2.0,4.0,0.0,0.0,2.0,0.0,0.11,0.23,0.34,0.11,0.34,3.9,3.9,0.22,0.22,17.8,12.0,0.0,31.6,0.68,0.05,0.17,0.1,-1.9,-1.9,497.0,625.0,79.5,8037.0,1900.0,268.0,305.0,87.9,149.0,183.0,81.4,58.0,91.0,63.7,40.0,28.0,25.0,4.0,47.0,567.0,57.0,17.0,1.0,4.0,47.0,33.0,5.0,20.0,0.0,5.0,1.0,12.0,77.0,4.33,52.0,13.0,7.0,1.0,8.0,0.45,6.0,0.0,1.0,0.0,0.0,16.0,10.0,8.0,3.0,5.0,10.0,0.0,10.0,7.0,9.0,0.0,775.0,12.0,96.0,332.0,361.0,62.0,775.0,496.0,43.0,31.0,16.0,561.0,37.0,14.0,0.0,13.0,15.0,3.0,0.0,0.0,0.0,79.0,5.0,19.0,20.8"
+Artur Ioniță,md MDA,MF,Benevento,29,1990,36.0,34.0,2835.0,2.0,0.0,0.0,0.0,6.0,0.0,0.06,0.0,0.06,0.06,0.06,1.7,1.7,0.05,0.05,31.5,7.0,0.0,30.4,0.22,0.09,0.29,0.07,0.3,0.3,574.0,754.0,76.1,8316.0,2105.0,326.0,383.0,85.1,184.0,231.0,79.7,28.0,52.0,53.8,13.0,44.0,12.0,3.0,64.0,738.0,12.0,9.0,0.0,4.0,25.0,0.0,0.0,0.0,0.0,3.0,4.0,25.0,28.0,0.89,24.0,0.0,0.0,2.0,4.0,0.13,3.0,0.0,0.0,1.0,0.0,47.0,22.0,11.0,31.0,5.0,38.0,14.0,24.0,19.0,28.0,0.0,1017.0,45.0,217.0,577.0,239.0,28.0,1017.0,465.0,30.0,24.0,1.0,562.0,27.0,22.0,0.0,59.0,23.0,1.0,2.0,0.0,0.0,125.0,65.0,91.0,41.7
+Ardian Ismajli,al ALB,DF,Spezia,23,1996,17.0,14.0,1297.0,1.0,1.0,0.0,0.0,3.0,1.0,0.07,0.07,0.14,0.07,0.14,0.7,0.7,0.05,0.05,14.4,1.0,0.0,16.7,0.07,0.17,1.0,0.11,0.3,0.3,639.0,737.0,86.7,13578.0,3747.0,157.0,177.0,88.7,397.0,427.0,93.0,83.0,122.0,68.0,2.0,30.0,0.0,0.0,40.0,705.0,31.0,29.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,9.0,0.62,5.0,0.0,3.0,0.0,4.0,0.28,1.0,0.0,2.0,0.0,1.0,19.0,9.0,10.0,8.0,1.0,10.0,7.0,3.0,23.0,52.0,1.0,855.0,67.0,418.0,425.0,13.0,6.0,855.0,524.0,4.0,3.0,0.0,542.0,2.0,2.0,1.0,19.0,13.0,0.0,0.0,0.0,0.0,68.0,40.0,28.0,58.8
+Armando Izzo,it ITA,DF,Torino,28,1992,25.0,24.0,2004.0,2.0,0.0,0.0,0.0,3.0,0.0,0.09,0.0,0.09,0.09,0.09,1.5,1.5,0.07,0.07,22.3,3.0,0.0,17.6,0.13,0.12,0.67,0.09,0.5,0.5,973.0,1207.0,80.6,18053.0,6186.0,424.0,466.0,91.0,384.0,451.0,85.1,147.0,250.0,58.8,5.0,77.0,8.0,6.0,103.0,1122.0,82.0,63.0,0.0,15.0,22.0,0.0,0.0,0.0,0.0,19.0,3.0,7.0,35.0,1.57,24.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,16.0,13.0,13.0,4.0,22.0,9.0,13.0,53.0,62.0,0.0,1429.0,98.0,543.0,746.0,151.0,33.0,1429.0,808.0,35.0,22.0,1.0,896.0,17.0,8.0,0.0,43.0,35.0,2.0,0.0,1.0,0.0,134.0,48.0,37.0,56.5
+Mato Jajalo,ba BIH,MF,Udinese,32,1988,1.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,32.0,71.9,313.0,104.0,12.0,14.0,85.7,10.0,13.0,76.9,0.0,2.0,0.0,0.0,2.0,0.0,0.0,1.0,30.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,2.0,0.0,0.0,35.0,2.0,11.0,20.0,4.0,0.0,35.0,15.0,0.0,2.0,0.0,20.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Jakub Jankto,cz CZE,MF,Sampdoria,24,1996,35.0,29.0,2409.0,6.0,3.0,0.0,0.0,6.0,0.0,0.22,0.11,0.34,0.22,0.34,4.6,4.6,0.17,0.17,26.8,10.0,0.0,25.6,0.37,0.15,0.6,0.12,1.4,1.4,621.0,920.0,67.5,9938.0,2659.0,337.0,426.0,79.1,214.0,291.0,73.5,52.0,133.0,39.1,34.0,48.0,27.0,8.0,88.0,861.0,47.0,11.0,2.0,4.0,81.0,14.0,5.0,8.0,0.0,22.0,12.0,28.0,62.0,2.32,41.0,8.0,5.0,4.0,7.0,0.26,6.0,0.0,0.0,0.0,0.0,28.0,17.0,14.0,7.0,7.0,16.0,1.0,15.0,24.0,34.0,0.0,1175.0,37.0,225.0,525.0,438.0,76.0,1175.0,645.0,52.0,36.0,19.0,795.0,39.0,34.0,0.0,18.0,28.0,7.0,0.0,1.0,0.0,141.0,9.0,22.0,29.0
+Juan Jesus,br BRA,DF,Roma,29,1991,5.0,0.0,157.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,122.0,133.0,91.7,2356.0,963.0,37.0,39.0,94.9,72.0,75.0,96.0,11.0,14.0,78.6,0.0,3.0,0.0,0.0,5.0,125.0,7.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,1.0,0.0,1.0,2.0,5.0,0.0,143.0,16.0,66.0,76.0,1.0,0.0,143.0,86.0,1.0,2.0,0.0,112.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,2.0,50.0
+"Hamed Junior Traorè,ci CIV,""MF,FW"",Sassuolo,20,2000,35.0,20.0,1789.0,5.0,2.0,0.0,0.0,6.0,0.0,0.25,0.1,0.35,0.25,0.35,4.1,4.1,0.2,0.2,19.9,14.0,1.0,32.6,0.7,0.12,0.36,0.09,0.9,0.9,637.0,853.0,74.7,9347.0,2451.0,380.0,444.0,85.6,178.0,230.0,77.4,47.0,91.0,51.6,35.0,48.0,22.0,0.0,79.0,779.0,67.0,11.0,1.0,11.0,62.0,48.0,16.0,20.0,0.0,5.0,7.0,25.0,75.0,3.77,45.0,13.0,2.0,3.0,8.0,0.4,4.0,0.0,1.0,1.0,1.0,29.0,17.0,10.0,10.0,9.0,27.0,3.0,24.0,18.0,9.0,0.0,1100.0,18.0,149.0,450.0,517.0,61.0,1100.0,616.0,45.0,45.0,12.0,781.0,55.0,26.0,0.0,25.0,19.0,3.0,1.0,0.0,0.0,77.0,13.0,20.0,39.4"
+"Musa Juwara,gm GAM,""MF,DF"",Bologna,18,2001,5.0,0.0,46.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.5,1.0,0.0,100.0,1.96,0.0,0.0,0.03,0.0,0.0,21.0,31.0,67.7,340.0,108.0,12.0,12.0,100.0,8.0,12.0,66.7,1.0,4.0,25.0,0.0,3.0,0.0,0.0,2.0,26.0,4.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,1.0,1.96,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,41.0,0.0,5.0,19.0,17.0,3.0,41.0,25.0,3.0,4.0,0.0,31.0,3.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0"
+Nikola Kalinić,hr CRO,FW,Hellas Verona,32,1988,19.0,15.0,1063.0,2.0,0.0,0.0,0.0,2.0,0.0,0.17,0.0,0.17,0.17,0.17,4.1,4.1,0.35,0.35,11.8,7.0,0.0,29.2,0.59,0.08,0.29,0.17,-2.1,-2.1,157.0,228.0,68.9,2050.0,274.0,103.0,128.0,80.5,36.0,54.0,66.7,5.0,9.0,55.6,7.0,5.0,4.0,0.0,19.0,198.0,29.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,17.0,17.0,1.44,13.0,0.0,2.0,2.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,2.0,1.0,6.0,0.0,6.0,1.0,7.0,0.0,332.0,7.0,15.0,149.0,173.0,43.0,332.0,212.0,7.0,5.0,3.0,277.0,35.0,13.0,0.0,27.0,34.0,10.0,0.0,0.0,0.0,22.0,17.0,51.0,25.0
+Yayah Kallon,sl SLE,FW,Genoa,19,2001,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.17,0.17,0.5,1.0,0.0,50.0,2.0,0.0,0.0,0.04,-0.1,-0.1,7.0,9.0,77.8,79.0,28.0,6.0,7.0,85.7,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,7.0,8.0,3.0,15.0,11.0,3.0,2.0,2.0,12.0,0.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,2.0,1.0,66.7
+Pierre Kalulu,fr FRA,DF,Milan,20,2000,13.0,7.0,727.0,1.0,1.0,0.0,0.0,1.0,0.0,0.12,0.12,0.25,0.12,0.25,0.9,0.9,0.11,0.11,8.1,1.0,0.0,33.3,0.12,0.33,1.0,0.3,0.1,0.1,422.0,496.0,85.1,6825.0,2546.0,182.0,197.0,92.4,211.0,237.0,89.0,16.0,36.0,44.4,6.0,26.0,3.0,1.0,40.0,457.0,37.0,7.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,25.0,2.0,6.0,9.0,1.11,8.0,0.0,1.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,18.0,14.0,11.0,6.0,1.0,9.0,3.0,6.0,19.0,20.0,0.0,579.0,45.0,241.0,276.0,71.0,7.0,579.0,352.0,18.0,12.0,1.0,368.0,4.0,1.0,0.0,9.0,2.0,0.0,0.0,1.0,0.0,51.0,11.0,13.0,45.8
+"Yann Karamoh,fr FRA,""FW,MF"",Parma,22,1998,24.0,16.0,1294.0,2.0,1.0,0.0,0.0,3.0,0.0,0.14,0.07,0.21,0.14,0.21,4.2,4.2,0.29,0.29,14.4,10.0,0.0,45.5,0.7,0.09,0.2,0.19,-2.2,-2.2,275.0,364.0,75.5,4007.0,806.0,158.0,188.0,84.0,78.0,101.0,77.2,21.0,29.0,72.4,15.0,21.0,14.0,3.0,33.0,355.0,4.0,0.0,2.0,3.0,21.0,1.0,0.0,0.0,0.0,3.0,5.0,16.0,39.0,2.71,26.0,0.0,4.0,4.0,4.0,0.28,2.0,0.0,1.0,1.0,0.0,27.0,17.0,8.0,12.0,7.0,6.0,0.0,6.0,4.0,11.0,0.0,522.0,12.0,74.0,215.0,254.0,48.0,522.0,348.0,45.0,43.0,13.0,371.0,44.0,22.0,0.0,14.0,13.0,7.0,1.0,0.0,0.0,69.0,8.0,13.0,38.1"
+Isaac Karamoko,fr FRA,DF,Sassuolo,18,2002,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,9.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,1.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Augustus Kargbo,sl SLE,FW,Crotone,20,1999,1.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,70.0,2.0,4.0,4.0,100.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,1.0,6.0,9.0,0.0,16.0,10.0,0.0,0.0,0.0,13.0,5.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Rick Karsdorp,nl NED,DF,Roma,25,1995,34.0,28.0,2544.0,1.0,6.0,0.0,0.0,2.0,0.0,0.04,0.21,0.25,0.04,0.25,1.0,1.0,0.04,0.04,28.3,4.0,0.0,30.8,0.14,0.08,0.25,0.08,0.0,0.0,1070.0,1298.0,82.4,18576.0,4636.0,462.0,523.0,88.3,516.0,588.0,87.8,75.0,132.0,56.8,24.0,62.0,35.0,8.0,97.0,1106.0,190.0,11.0,2.0,4.0,55.0,0.0,0.0,0.0,0.0,179.0,2.0,29.0,43.0,1.56,38.0,0.0,3.0,0.0,8.0,0.29,7.0,0.0,0.0,0.0,0.0,36.0,23.0,19.0,12.0,5.0,18.0,1.0,17.0,30.0,32.0,0.0,1462.0,57.0,377.0,678.0,425.0,40.0,1462.0,737.0,32.0,26.0,5.0,932.0,19.0,12.0,0.0,36.0,13.0,3.0,0.0,0.0,0.0,141.0,6.0,21.0,22.2
+Franck Kessié,ci CIV,MF,Milan,23,1996,37.0,36.0,3226.0,13.0,4.0,11.0,13.0,8.0,0.0,0.36,0.11,0.47,0.06,0.17,14.0,3.8,0.39,0.11,35.8,8.0,0.0,22.2,0.22,0.06,0.25,0.11,-1.0,-1.8,1781.0,2022.0,88.1,30782.0,7900.0,801.0,880.0,91.0,768.0,824.0,93.2,169.0,225.0,75.1,31.0,182.0,21.0,1.0,171.0,1956.0,57.0,51.0,0.0,19.0,13.0,0.0,0.0,0.0,0.0,6.0,9.0,16.0,85.0,2.37,70.0,1.0,7.0,3.0,8.0,0.22,5.0,0.0,1.0,1.0,1.0,53.0,30.0,28.0,19.0,6.0,47.0,15.0,32.0,46.0,51.0,0.0,2425.0,115.0,579.0,1441.0,442.0,89.0,2412.0,1426.0,64.0,51.0,6.0,1692.0,53.0,40.0,0.0,65.0,40.0,1.0,1.0,1.0,0.0,269.0,56.0,45.0,55.4
+Omar Khailoti,it ITA,DF,Bologna,18,2001,1.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,20.0,85.0,211.0,44.0,12.0,13.0,92.3,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,22.0,2.0,7.0,8.0,7.0,0.0,22.0,19.0,0.0,1.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Simon Kjær,dk DEN,DF,Milan,31,1989,28.0,28.0,2393.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,1.6,1.6,0.06,0.06,26.6,2.0,1.0,12.5,0.08,0.0,0.0,0.1,-1.6,-1.6,1303.0,1489.0,87.5,26908.0,9646.0,382.0,416.0,91.8,721.0,762.0,94.6,185.0,273.0,67.8,7.0,72.0,2.0,0.0,73.0,1400.0,82.0,62.0,1.0,19.0,3.0,0.0,0.0,0.0,0.0,2.0,7.0,8.0,16.0,0.6,13.0,1.0,2.0,0.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,45.0,26.0,23.0,20.0,2.0,42.0,26.0,16.0,42.0,125.0,0.0,1781.0,261.0,942.0,809.0,40.0,20.0,1781.0,962.0,8.0,4.0,2.0,1160.0,10.0,0.0,0.0,26.0,10.0,1.0,0.0,0.0,0.0,126.0,54.0,43.0,55.7
+Ragnar Klavan,ee EST,DF,Cagliari,34,1985,15.0,9.0,770.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.04,0.04,8.6,1.0,0.0,16.7,0.12,0.0,0.0,0.06,-0.4,-0.4,343.0,402.0,85.3,6545.0,2399.0,124.0,140.0,88.6,180.0,193.0,93.3,36.0,59.0,61.0,1.0,17.0,0.0,0.0,20.0,374.0,27.0,21.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,5.0,3.0,0.35,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,9.0,5.0,1.0,9.0,4.0,5.0,8.0,34.0,0.0,492.0,67.0,265.0,207.0,23.0,6.0,492.0,248.0,2.0,5.0,0.0,299.0,8.0,0.0,0.0,8.0,1.0,0.0,0.0,1.0,0.0,39.0,12.0,14.0,46.2
+Justin Kluivert,nl NED,MF,Roma,21,1999,2.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,7.0,57.1,120.0,32.0,1.0,3.0,33.3,1.0,2.0,50.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,2.0,7.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,3.0,5.0,2.0,0.0,10.0,4.0,1.0,0.0,0.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+"Aleksandr Kokorin,ru RUS,""FW,MF"",Fiorentina,29,1991,4.0,0.0,94.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,31.0,83.9,283.0,40.0,18.0,18.0,100.0,5.0,6.0,83.3,0.0,1.0,0.0,0.0,1.0,0.0,0.0,3.0,29.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,1.0,0.95,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,0.0,4.0,13.0,16.0,1.0,33.0,20.0,2.0,2.0,1.0,23.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0"
+Aleksandar Kolarov,rs SRB,DF,Inter,34,1985,7.0,4.0,390.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.23,0.23,0.0,0.23,0.1,0.1,0.03,0.03,4.3,2.0,0.0,33.3,0.46,0.0,0.0,0.02,-0.1,-0.1,310.0,366.0,84.7,5768.0,1880.0,141.0,153.0,92.2,137.0,155.0,88.4,32.0,52.0,61.5,6.0,33.0,4.0,1.0,41.0,333.0,33.0,7.0,0.0,8.0,18.0,7.0,4.0,2.0,0.0,14.0,0.0,5.0,15.0,3.46,11.0,2.0,1.0,0.0,2.0,0.46,1.0,1.0,0.0,0.0,0.0,4.0,4.0,0.0,4.0,0.0,2.0,0.0,2.0,7.0,8.0,0.0,398.0,25.0,109.0,221.0,70.0,1.0,398.0,250.0,14.0,14.0,0.0,276.0,3.0,0.0,0.0,3.0,4.0,0.0,0.0,1.0,0.0,30.0,11.0,6.0,64.7
+Márk Kosznovszky,hu HUN,MF,Parma,18,2002,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.34,0.34,1.0,1.0,0.0,100.0,1.0,0.0,0.0,0.34,-0.3,-0.3,37.0,39.0,94.9,548.0,87.0,20.0,20.0,100.0,16.0,17.0,94.1,1.0,1.0,100.0,0.0,2.0,0.0,0.0,2.0,37.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,3.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,2.0,0.0,2.0,1.0,1.0,0.0,49.0,1.0,11.0,20.0,18.0,1.0,49.0,24.0,2.0,1.0,0.0,30.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Christian Kouamé,ci CIV,FW,Fiorentina,22,1997,33.0,9.0,995.0,1.0,1.0,0.0,0.0,4.0,0.0,0.09,0.09,0.18,0.09,0.18,3.2,3.2,0.29,0.29,11.1,6.0,0.0,35.3,0.54,0.06,0.17,0.19,-2.2,-2.2,234.0,326.0,71.8,2764.0,400.0,166.0,212.0,78.3,47.0,62.0,75.8,5.0,7.0,71.4,12.0,15.0,6.0,1.0,16.0,310.0,16.0,2.0,1.0,2.0,6.0,0.0,0.0,0.0,0.0,3.0,0.0,11.0,19.0,1.72,16.0,0.0,1.0,1.0,2.0,0.18,1.0,0.0,0.0,0.0,0.0,9.0,4.0,2.0,4.0,3.0,9.0,1.0,8.0,5.0,4.0,0.0,467.0,5.0,32.0,203.0,236.0,53.0,467.0,258.0,12.0,8.0,7.0,361.0,50.0,24.0,0.0,25.0,32.0,5.0,0.0,0.0,0.0,31.0,38.0,56.0,40.4
+Kalidou Koulibaly,sn SEN,DF,Napoli,29,1991,26.0,25.0,2209.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.04,0.04,24.5,2.0,0.0,18.2,0.08,0.0,0.0,0.09,-1.0,-1.0,1566.0,1775.0,88.2,28893.0,11863.0,654.0,706.0,92.6,726.0,776.0,93.6,166.0,248.0,66.9,5.0,106.0,8.0,2.0,116.0,1678.0,90.0,52.0,1.0,18.0,5.0,0.0,0.0,0.0,0.0,1.0,7.0,10.0,17.0,0.69,15.0,0.0,0.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,36.0,24.0,25.0,7.0,4.0,46.0,26.0,20.0,29.0,64.0,2.0,1981.0,202.0,843.0,1087.0,70.0,18.0,1981.0,1306.0,22.0,21.0,2.0,1414.0,8.0,6.0,1.0,29.0,9.0,0.0,0.0,0.0,0.0,172.0,40.0,37.0,51.9
+Viktor Kovalenko,ua UKR,FW,Atalanta,24,1996,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,8.0,5.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,2.0,2.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Rade Krunić,ba BIH,""MF,FW"",Milan,26,1993,25.0,5.0,723.0,1.0,2.0,0.0,0.0,3.0,0.0,0.12,0.25,0.37,0.12,0.37,0.7,0.7,0.09,0.09,8.0,5.0,1.0,62.5,0.62,0.13,0.2,0.09,0.3,0.3,233.0,272.0,85.7,3094.0,868.0,151.0,164.0,92.1,64.0,75.0,85.3,6.0,11.0,54.5,8.0,16.0,1.0,1.0,27.0,262.0,9.0,5.0,1.0,0.0,3.0,2.0,1.0,0.0,0.0,2.0,1.0,4.0,17.0,2.12,14.0,0.0,0.0,3.0,5.0,0.62,3.0,0.0,0.0,2.0,0.0,15.0,12.0,6.0,6.0,3.0,12.0,2.0,10.0,10.0,9.0,0.0,362.0,13.0,84.0,190.0,88.0,14.0,362.0,180.0,9.0,6.0,2.0,239.0,11.0,5.0,0.0,11.0,20.0,2.0,0.0,1.0,0.0,36.0,9.0,17.0,34.6"
+"Juraj Kucka,sk SVK,""MF,FW"",Parma,33,1987,28.0,28.0,2334.0,7.0,2.0,4.0,4.0,8.0,0.0,0.27,0.08,0.35,0.12,0.19,7.1,4.0,0.27,0.15,25.9,15.0,2.0,26.8,0.58,0.05,0.2,0.07,-0.1,-1.0,663.0,929.0,71.4,10151.0,2630.0,370.0,458.0,80.8,229.0,304.0,75.3,44.0,84.0,52.4,17.0,54.0,17.0,4.0,77.0,904.0,18.0,4.0,3.0,10.0,15.0,0.0,0.0,0.0,0.0,4.0,7.0,35.0,56.0,2.16,36.0,0.0,4.0,10.0,8.0,0.31,7.0,0.0,0.0,0.0,0.0,67.0,36.0,21.0,37.0,9.0,25.0,3.0,22.0,28.0,25.0,0.0,1250.0,44.0,208.0,673.0,378.0,56.0,1246.0,658.0,35.0,23.0,5.0,885.0,48.0,30.0,0.0,65.0,71.0,3.0,0.0,0.0,0.0,133.0,79.0,59.0,57.2"
+"Dejan Kulusevski,se SWE,""MF,FW"",Juventus,20,2000,35.0,19.0,1923.0,4.0,3.0,0.0,0.0,7.0,0.0,0.19,0.14,0.33,0.19,0.33,3.0,3.0,0.14,0.14,21.4,7.0,0.0,20.6,0.33,0.12,0.57,0.09,1.0,1.0,588.0,767.0,76.7,8392.0,2088.0,340.0,398.0,85.4,195.0,235.0,83.0,26.0,49.0,53.1,52.0,38.0,30.0,8.0,70.0,733.0,29.0,8.0,3.0,2.0,59.0,16.0,7.0,4.0,0.0,3.0,5.0,29.0,97.0,4.54,74.0,7.0,6.0,2.0,7.0,0.33,5.0,0.0,0.0,0.0,0.0,33.0,19.0,12.0,10.0,11.0,22.0,0.0,22.0,9.0,2.0,1.0,1022.0,6.0,109.0,384.0,550.0,117.0,1022.0,663.0,104.0,52.0,39.0,766.0,66.0,45.0,0.0,41.0,29.0,5.0,0.0,0.0,0.0,97.0,11.0,29.0,27.5"
+Marash Kumbulla,al ALB,DF,Roma,20,2000,21.0,14.0,1363.0,1.0,0.0,0.0,0.0,8.0,0.0,0.07,0.0,0.07,0.07,0.07,0.9,0.9,0.06,0.06,15.1,2.0,0.0,33.3,0.13,0.17,0.5,0.14,0.1,0.1,701.0,791.0,88.6,12503.0,3644.0,295.0,323.0,91.3,353.0,371.0,95.1,48.0,77.0,62.3,4.0,26.0,0.0,0.0,43.0,763.0,28.0,22.0,1.0,5.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,12.0,11.0,0.73,6.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,11.0,8.0,7.0,1.0,12.0,5.0,7.0,24.0,38.0,1.0,907.0,68.0,373.0,500.0,37.0,9.0,907.0,537.0,9.0,8.0,0.0,664.0,7.0,3.0,0.0,26.0,14.0,0.0,0.0,0.0,0.0,52.0,26.0,19.0,57.8
+Jasmin Kurtić,si SVN,MF,Parma,31,1989,34.0,31.0,2739.0,4.0,0.0,0.0,0.0,5.0,0.0,0.13,0.0,0.13,0.13,0.13,3.7,3.7,0.12,0.12,30.4,10.0,0.0,28.6,0.33,0.11,0.4,0.11,0.3,0.3,1188.0,1434.0,82.8,22012.0,5688.0,488.0,548.0,89.1,492.0,560.0,87.9,164.0,239.0,68.6,23.0,111.0,29.0,15.0,143.0,1346.0,83.0,44.0,0.0,28.0,90.0,24.0,7.0,15.0,0.0,13.0,5.0,26.0,62.0,2.04,48.0,9.0,5.0,0.0,5.0,0.16,4.0,0.0,1.0,0.0,0.0,46.0,28.0,22.0,21.0,3.0,22.0,2.0,20.0,33.0,57.0,1.0,1703.0,86.0,363.0,972.0,385.0,34.0,1703.0,971.0,53.0,46.0,3.0,1151.0,29.0,14.0,0.0,45.0,37.0,3.0,0.0,0.0,0.0,156.0,36.0,28.0,56.3
+Giorgos Kyriakopoulos,gr GRE,DF,Sassuolo,24,1996,23.0,16.0,1456.0,1.0,0.0,0.0,0.0,3.0,1.0,0.06,0.0,0.06,0.06,0.06,1.6,1.6,0.1,0.1,16.2,13.0,1.0,54.2,0.8,0.04,0.08,0.07,-0.6,-0.6,827.0,1013.0,81.6,12272.0,3769.0,471.0,517.0,91.1,298.0,364.0,81.9,41.0,82.0,50.0,13.0,46.0,16.0,7.0,59.0,890.0,122.0,17.0,0.0,1.0,64.0,2.0,0.0,2.0,0.0,103.0,1.0,16.0,35.0,2.16,27.0,0.0,2.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,35.0,18.0,17.0,12.0,6.0,16.0,5.0,11.0,15.0,42.0,0.0,1205.0,57.0,363.0,492.0,363.0,25.0,1205.0,682.0,58.0,45.0,8.0,822.0,23.0,19.0,1.0,17.0,7.0,1.0,0.0,0.0,0.0,83.0,17.0,16.0,51.5
+Antonino La Gumina,it ITA,FW,Sampdoria,24,1996,9.0,4.0,341.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.18,0.18,3.8,1.0,0.0,9.1,0.26,0.0,0.0,0.06,-0.7,-0.7,45.0,67.0,67.2,626.0,58.0,27.0,35.0,77.1,15.0,22.0,68.2,2.0,3.0,66.7,1.0,2.0,1.0,0.0,3.0,59.0,7.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,0.53,1.0,0.0,1.0,0.0,1.0,0.26,0.0,0.0,1.0,0.0,0.0,3.0,2.0,0.0,1.0,2.0,5.0,1.0,4.0,3.0,5.0,0.0,120.0,5.0,9.0,42.0,71.0,19.0,120.0,64.0,5.0,3.0,2.0,87.0,19.0,5.0,0.0,5.0,6.0,2.0,0.0,0.0,0.0,9.0,11.0,22.0,33.3
+"Sam Lammers,nl NED,""FW,MF"",Atalanta,23,1997,15.0,1.0,291.0,2.0,0.0,0.0,0.0,0.0,0.0,0.62,0.0,0.62,0.62,0.62,1.3,1.3,0.4,0.4,3.2,4.0,0.0,44.4,1.24,0.22,0.5,0.14,0.7,0.7,96.0,122.0,78.7,1166.0,181.0,64.0,79.0,81.0,23.0,27.0,85.2,1.0,3.0,33.3,4.0,5.0,3.0,0.0,8.0,117.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,13.0,4.02,9.0,0.0,1.0,0.0,1.0,0.31,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,170.0,3.0,7.0,67.0,97.0,26.0,170.0,111.0,9.0,5.0,8.0,144.0,17.0,13.0,0.0,5.0,5.0,2.0,0.0,0.0,0.0,8.0,6.0,6.0,50.0"
+Gianluca Lapadula,pe PER,FW,Benevento,30,1990,37.0,29.0,2563.0,8.0,2.0,0.0,1.0,2.0,0.0,0.28,0.07,0.35,0.28,0.35,9.7,8.8,0.34,0.31,28.5,28.0,5.0,37.3,0.98,0.11,0.29,0.12,-1.7,-0.8,320.0,470.0,68.1,4204.0,895.0,194.0,256.0,75.8,88.0,123.0,71.5,13.0,19.0,68.4,33.0,12.0,11.0,1.0,44.0,426.0,44.0,0.0,1.0,2.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,17.0,72.0,2.53,50.0,1.0,7.0,9.0,8.0,0.28,4.0,0.0,1.0,3.0,0.0,22.0,12.0,3.0,13.0,6.0,18.0,3.0,15.0,5.0,16.0,0.0,742.0,22.0,50.0,296.0,411.0,160.0,741.0,396.0,42.0,27.0,22.0,542.0,64.0,37.0,0.0,48.0,68.0,34.0,3.0,0.0,0.0,55.0,34.0,88.0,27.9
+Danilo Larangeira,br BRA,DF,Bologna,36,1984,35.0,34.0,3132.0,0.0,1.0,0.0,0.0,8.0,0.0,0.0,0.03,0.03,0.0,0.03,1.2,1.2,0.03,0.03,34.8,2.0,0.0,12.5,0.06,0.0,0.0,0.07,-1.2,-1.2,1414.0,1767.0,80.0,30988.0,13580.0,386.0,428.0,90.2,759.0,854.0,88.9,262.0,448.0,58.5,9.0,86.0,6.0,0.0,108.0,1647.0,107.0,101.0,3.0,17.0,2.0,0.0,0.0,0.0,0.0,5.0,13.0,10.0,13.0,0.37,8.0,1.0,3.0,1.0,2.0,0.06,1.0,0.0,1.0,0.0,0.0,33.0,24.0,23.0,10.0,0.0,58.0,36.0,22.0,51.0,127.0,2.0,2083.0,385.0,1109.0,936.0,45.0,21.0,2083.0,1124.0,12.0,5.0,0.0,1234.0,9.0,0.0,0.0,38.0,15.0,1.0,0.0,2.0,0.0,168.0,79.0,74.0,51.6
+Kevin Lasagna,it ITA,FW,Udinese,27,1992,17.0,12.0,1103.0,2.0,1.0,0.0,0.0,1.0,0.0,0.16,0.08,0.24,0.16,0.24,7.4,7.4,0.6,0.6,12.3,12.0,1.0,29.3,0.98,0.05,0.17,0.18,-5.4,-5.4,144.0,212.0,67.9,1993.0,441.0,91.0,115.0,79.1,33.0,48.0,68.8,8.0,12.0,66.7,10.0,11.0,9.0,2.0,23.0,196.0,15.0,1.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,3.0,1.0,14.0,23.0,1.88,15.0,0.0,6.0,1.0,1.0,0.08,0.0,0.0,0.0,0.0,0.0,6.0,1.0,2.0,3.0,1.0,11.0,0.0,11.0,6.0,7.0,0.0,347.0,8.0,28.0,126.0,198.0,71.0,347.0,184.0,20.0,9.0,16.0,221.0,30.0,12.0,0.0,20.0,11.0,9.0,0.0,0.0,0.0,32.0,18.0,37.0,32.7
+Kevin Lasagna,it ITA,FW,Hellas Verona,27,1992,19.0,14.0,1267.0,2.0,0.0,0.0,0.0,0.0,0.0,0.14,0.0,0.14,0.14,0.14,3.2,3.2,0.23,0.23,14.1,6.0,0.0,20.0,0.43,0.07,0.33,0.11,-1.2,-1.2,180.0,260.0,69.2,2275.0,326.0,122.0,152.0,80.3,35.0,58.0,60.3,7.0,13.0,53.8,12.0,12.0,5.0,0.0,19.0,232.0,28.0,0.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,27.0,1.92,18.0,0.0,3.0,4.0,4.0,0.28,2.0,0.0,0.0,1.0,0.0,7.0,3.0,0.0,5.0,2.0,12.0,1.0,11.0,1.0,11.0,0.0,422.0,12.0,26.0,179.0,223.0,61.0,422.0,233.0,28.0,18.0,17.0,311.0,51.0,18.0,0.0,32.0,21.0,23.0,0.0,0.0,0.0,30.0,26.0,48.0,35.1
+Vincent Laurini,fr FRA,DF,Parma,31,1989,14.0,10.0,870.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,400.0,505.0,79.2,6865.0,2842.0,193.0,211.0,91.5,164.0,211.0,77.7,38.0,68.0,55.9,1.0,35.0,5.0,4.0,37.0,417.0,86.0,14.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,72.0,2.0,7.0,9.0,0.93,6.0,1.0,0.0,1.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,16.0,11.0,8.0,6.0,2.0,8.0,4.0,4.0,17.0,22.0,1.0,581.0,33.0,188.0,300.0,97.0,2.0,581.0,319.0,11.0,11.0,0.0,353.0,9.0,1.0,0.0,12.0,18.0,0.0,0.0,0.0,0.0,31.0,6.0,12.0,33.3
+"Darko Lazović,rs SRB,""DF,MF"",Hellas Verona,29,1990,32.0,27.0,2503.0,3.0,6.0,0.0,0.0,3.0,0.0,0.11,0.22,0.32,0.11,0.32,3.4,3.4,0.12,0.12,27.8,11.0,2.0,34.4,0.4,0.09,0.27,0.11,-0.4,-0.4,1002.0,1389.0,72.1,15672.0,6210.0,550.0,628.0,87.6,367.0,515.0,71.3,66.0,140.0,47.1,35.0,75.0,59.0,17.0,156.0,1129.0,238.0,15.0,0.0,4.0,125.0,21.0,11.0,8.0,0.0,202.0,22.0,36.0,66.0,2.37,54.0,5.0,3.0,0.0,7.0,0.25,7.0,0.0,0.0,0.0,0.0,29.0,17.0,8.0,17.0,4.0,17.0,7.0,10.0,20.0,29.0,0.0,1606.0,61.0,296.0,675.0,650.0,66.0,1606.0,744.0,68.0,53.0,18.0,964.0,31.0,16.0,0.0,10.0,2.0,10.0,0.0,0.0,0.0,157.0,17.0,18.0,48.6"
+Manuel Lazzari,it ITA,DF,Lazio,26,1993,32.0,30.0,2613.0,2.0,5.0,0.0,0.0,2.0,1.0,0.07,0.17,0.24,0.07,0.24,2.1,2.1,0.07,0.07,29.0,6.0,0.0,25.0,0.21,0.08,0.33,0.09,-0.1,-0.1,924.0,1153.0,80.1,13975.0,3090.0,473.0,536.0,88.2,347.0,432.0,80.3,48.0,84.0,57.1,28.0,28.0,31.0,19.0,37.0,935.0,214.0,15.0,2.0,4.0,114.0,0.0,0.0,0.0,0.0,199.0,4.0,28.0,69.0,2.38,54.0,3.0,4.0,5.0,10.0,0.34,7.0,0.0,1.0,1.0,0.0,24.0,14.0,15.0,4.0,5.0,22.0,3.0,19.0,18.0,28.0,0.0,1398.0,43.0,295.0,546.0,576.0,65.0,1398.0,810.0,130.0,80.0,29.0,890.0,41.0,22.0,0.0,26.0,53.0,2.0,0.0,0.0,1.0,111.0,13.0,18.0,41.9
+Rafael Leão,pt POR,FW,Milan,21,1999,30.0,22.0,1924.0,6.0,6.0,0.0,0.0,5.0,0.0,0.28,0.28,0.56,0.28,0.56,6.0,6.0,0.28,0.28,21.4,20.0,0.0,46.5,0.94,0.14,0.3,0.14,0.0,0.0,362.0,507.0,71.4,5185.0,1075.0,195.0,255.0,76.5,126.0,163.0,77.3,16.0,32.0,50.0,27.0,16.0,25.0,4.0,45.0,472.0,29.0,1.0,1.0,2.0,32.0,0.0,0.0,0.0,0.0,9.0,6.0,12.0,66.0,3.09,45.0,0.0,6.0,5.0,6.0,0.28,5.0,0.0,0.0,0.0,0.0,13.0,6.0,4.0,7.0,2.0,17.0,0.0,17.0,4.0,14.0,1.0,713.0,17.0,72.0,279.0,386.0,104.0,713.0,398.0,77.0,38.0,32.0,526.0,53.0,16.0,0.0,28.0,21.0,4.0,1.0,0.0,0.0,62.0,42.0,59.0,41.6
+Lucas Leiva,br BRA,MF,Lazio,33,1987,32.0,30.0,2131.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,23.7,3.0,0.0,25.0,0.13,0.0,0.0,0.04,-0.4,-0.4,1274.0,1484.0,85.8,21944.0,7774.0,597.0,665.0,89.8,532.0,601.0,88.5,125.0,153.0,81.7,7.0,183.0,12.0,3.0,163.0,1436.0,44.0,37.0,1.0,5.0,16.0,5.0,4.0,0.0,0.0,2.0,4.0,28.0,36.0,1.52,33.0,1.0,0.0,1.0,2.0,0.08,1.0,0.0,0.0,1.0,0.0,68.0,32.0,38.0,28.0,2.0,21.0,0.0,21.0,57.0,21.0,0.0,1710.0,62.0,461.0,1076.0,186.0,7.0,1710.0,890.0,23.0,25.0,2.0,1079.0,14.0,12.0,0.0,47.0,24.0,1.0,0.0,0.0,0.0,175.0,47.0,42.0,52.8
+Lukas Lerager,dk DEN,MF,Genoa,27,1993,16.0,13.0,1159.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.08,0.08,0.0,0.08,0.6,0.6,0.05,0.05,12.9,2.0,0.0,50.0,0.16,0.0,0.0,0.16,-0.6,-0.6,411.0,501.0,82.0,6029.0,1609.0,232.0,272.0,85.3,126.0,146.0,86.3,28.0,38.0,73.7,8.0,51.0,3.0,0.0,46.0,482.0,15.0,9.0,0.0,4.0,7.0,0.0,0.0,0.0,0.0,6.0,4.0,10.0,22.0,1.71,21.0,1.0,0.0,0.0,3.0,0.23,3.0,0.0,0.0,0.0,0.0,24.0,13.0,14.0,9.0,1.0,13.0,3.0,10.0,14.0,25.0,1.0,622.0,30.0,144.0,343.0,145.0,12.0,622.0,292.0,9.0,12.0,1.0,368.0,22.0,8.0,0.0,16.0,16.0,3.0,0.0,0.0,0.0,85.0,9.0,14.0,39.1
+"Mehdi Léris,dz ALG,""DF,MF"",Sampdoria,22,1998,20.0,3.0,386.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,4.3,1.0,0.0,50.0,0.23,0.0,0.0,0.04,-0.1,-0.1,174.0,233.0,74.7,2680.0,771.0,102.0,120.0,85.0,49.0,64.0,76.6,16.0,29.0,55.2,8.0,12.0,6.0,1.0,19.0,208.0,21.0,3.0,0.0,2.0,17.0,4.0,0.0,4.0,0.0,14.0,4.0,4.0,15.0,3.48,13.0,1.0,0.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,11.0,5.0,6.0,4.0,1.0,12.0,2.0,10.0,12.0,15.0,0.0,305.0,22.0,77.0,126.0,111.0,10.0,305.0,162.0,17.0,9.0,4.0,179.0,9.0,4.0,0.0,13.0,3.0,0.0,0.0,0.0,0.0,43.0,7.0,8.0,46.7"
+Karlo Letica,hr CRO,GK,Sampdoria,23,1997,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,34.0,88.2,694.0,352.0,6.0,6.0,100.0,18.0,18.0,100.0,6.0,10.0,60.0,0.0,0.0,0.0,0.0,0.0,26.0,8.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,36.0,35.0,36.0,0.0,0.0,0.0,36.0,15.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Gaetano Letizia,it ITA,DF,Benevento,30,1990,24.0,18.0,1570.0,3.0,1.0,0.0,0.0,2.0,0.0,0.17,0.06,0.23,0.17,0.23,0.4,0.4,0.02,0.02,17.4,7.0,0.0,53.8,0.4,0.23,0.43,0.03,2.6,2.6,670.0,890.0,75.3,11927.0,4614.0,301.0,338.0,89.1,270.0,343.0,78.7,79.0,154.0,51.3,14.0,41.0,32.0,21.0,59.0,734.0,150.0,27.0,0.0,11.0,84.0,3.0,1.0,1.0,0.0,120.0,6.0,21.0,39.0,2.24,29.0,5.0,1.0,1.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,36.0,25.0,19.0,13.0,4.0,15.0,3.0,12.0,20.0,42.0,1.0,1044.0,72.0,368.0,428.0,258.0,14.0,1044.0,534.0,49.0,33.0,3.0,597.0,18.0,12.0,0.0,14.0,22.0,0.0,0.0,0.0,0.0,116.0,13.0,8.0,61.9
+Matthijs de Ligt,nl NED,DF,Juventus,20,1999,27.0,25.0,2220.0,1.0,1.0,0.0,0.0,4.0,0.0,0.04,0.04,0.08,0.04,0.08,1.3,1.3,0.05,0.05,24.7,6.0,0.0,31.6,0.24,0.05,0.17,0.07,-0.3,-0.3,1604.0,1739.0,92.2,30950.0,9589.0,515.0,553.0,93.1,928.0,961.0,96.6,147.0,196.0,75.0,9.0,98.0,6.0,2.0,93.0,1690.0,46.0,32.0,0.0,6.0,5.0,0.0,0.0,0.0,0.0,5.0,3.0,6.0,26.0,1.05,20.0,0.0,4.0,1.0,5.0,0.2,4.0,0.0,1.0,0.0,0.0,37.0,19.0,20.0,16.0,1.0,42.0,21.0,21.0,31.0,64.0,0.0,1958.0,223.0,810.0,1070.0,87.0,28.0,1958.0,1164.0,16.0,10.0,0.0,1442.0,11.0,3.0,0.0,40.0,23.0,2.0,0.0,1.0,0.0,140.0,58.0,31.0,65.2
+Karol Linetty,pl POL,MF,Torino,25,1995,27.0,20.0,1832.0,1.0,0.0,0.0,0.0,5.0,0.0,0.05,0.0,0.05,0.05,0.05,1.1,1.1,0.05,0.05,20.4,3.0,0.0,42.9,0.15,0.14,0.33,0.15,-0.1,-0.1,600.0,733.0,81.9,8945.0,2488.0,368.0,410.0,89.8,183.0,219.0,83.6,36.0,53.0,67.9,15.0,46.0,10.0,0.0,58.0,710.0,20.0,6.0,1.0,11.0,6.0,2.0,0.0,0.0,0.0,9.0,3.0,20.0,42.0,2.06,33.0,0.0,1.0,2.0,1.0,0.05,0.0,0.0,1.0,0.0,0.0,38.0,28.0,13.0,19.0,6.0,19.0,5.0,14.0,15.0,7.0,0.0,926.0,34.0,204.0,499.0,235.0,26.0,926.0,520.0,27.0,22.0,4.0,613.0,42.0,25.0,0.0,31.0,29.0,1.0,0.0,0.0,0.0,116.0,8.0,14.0,36.4
+"Pol Lirola,es ESP,""DF,FW"",Fiorentina,22,1997,12.0,4.0,498.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.1,0.1,0.02,0.02,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,204.0,284.0,71.8,3261.0,1129.0,98.0,123.0,79.7,81.0,109.0,74.3,14.0,31.0,45.2,6.0,14.0,7.0,2.0,21.0,237.0,45.0,3.0,0.0,2.0,22.0,0.0,0.0,0.0,0.0,42.0,2.0,4.0,14.0,2.51,11.0,1.0,0.0,1.0,3.0,0.54,2.0,0.0,0.0,1.0,0.0,13.0,8.0,8.0,2.0,3.0,6.0,3.0,3.0,6.0,9.0,0.0,337.0,17.0,79.0,151.0,110.0,11.0,337.0,174.0,19.0,15.0,6.0,205.0,6.0,4.0,0.0,4.0,3.0,1.0,0.0,0.0,0.0,30.0,3.0,4.0,42.9"
+Fernando Llorente,es ESP,FW,Udinese,35,1985,14.0,8.0,713.0,1.0,0.0,0.0,0.0,2.0,0.0,0.13,0.0,0.13,0.13,0.13,1.8,1.8,0.23,0.23,7.9,5.0,0.0,45.5,0.63,0.09,0.2,0.17,-0.8,-0.8,158.0,222.0,71.2,1811.0,316.0,109.0,143.0,76.2,28.0,45.0,62.2,4.0,7.0,57.1,11.0,10.0,0.0,0.0,11.0,206.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,15.0,1.89,11.0,0.0,2.0,1.0,1.0,0.13,0.0,0.0,1.0,0.0,0.0,4.0,1.0,2.0,2.0,0.0,3.0,0.0,3.0,2.0,17.0,0.0,311.0,19.0,41.0,171.0,101.0,33.0,311.0,133.0,1.0,5.0,0.0,223.0,28.0,7.0,0.0,21.0,11.0,3.0,0.0,0.0,0.0,21.0,54.0,32.0,62.8
+"Fernando Llorente,es ESP,""FW,MF"",Napoli,35,1985,3.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.31,0.31,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,13.0,22.0,59.1,163.0,29.0,9.0,16.0,56.3,2.0,3.0,66.7,1.0,1.0,100.0,1.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.46,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,0.0,2.0,8.0,22.0,11.0,32.0,18.0,0.0,0.0,0.0,27.0,4.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,2.0,5.0,1.0,83.3"
+Stanislav Lobotka,sk SVK,MF,Napoli,25,1994,15.0,0.0,154.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,117.0,129.0,90.7,1841.0,362.0,58.0,62.0,93.5,43.0,46.0,93.5,10.0,13.0,76.9,0.0,5.0,1.0,0.0,7.0,126.0,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.58,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,136.0,1.0,27.0,99.0,12.0,0.0,136.0,89.0,3.0,2.0,0.0,110.0,0.0,1.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,10.0,2.0,4.0,33.3
+Manuel Locatelli,it ITA,MF,Sassuolo,22,1998,34.0,32.0,2883.0,4.0,2.0,2.0,2.0,9.0,0.0,0.12,0.06,0.19,0.06,0.12,3.7,2.1,0.11,0.07,32.0,7.0,6.0,17.9,0.22,0.05,0.29,0.05,0.3,-0.1,2440.0,2802.0,87.1,41731.0,14137.0,1213.0,1295.0,93.7,931.0,1035.0,90.0,249.0,365.0,68.2,38.0,325.0,35.0,5.0,315.0,2696.0,98.0,80.0,1.0,38.0,41.0,14.0,5.0,7.0,0.0,4.0,8.0,30.0,104.0,3.25,86.0,4.0,4.0,4.0,13.0,0.41,10.0,1.0,0.0,1.0,1.0,81.0,47.0,43.0,28.0,10.0,35.0,15.0,20.0,51.0,65.0,1.0,3164.0,150.0,697.0,1972.0,519.0,49.0,3162.0,1795.0,48.0,52.0,7.0,2467.0,45.0,33.0,0.0,52.0,48.0,1.0,1.0,1.0,0.0,239.0,48.0,45.0,51.6
+Maxime Lopez,fr FRA,MF,Sassuolo,22,1997,29.0,22.0,1864.0,2.0,0.0,0.0,0.0,7.0,0.0,0.1,0.0,0.1,0.1,0.1,1.2,1.2,0.06,0.06,20.7,4.0,0.0,40.0,0.19,0.2,0.5,0.12,0.8,0.8,1567.0,1699.0,92.2,22138.0,5489.0,930.0,971.0,95.8,509.0,545.0,93.4,68.0,97.0,70.1,20.0,161.0,24.0,0.0,150.0,1645.0,52.0,22.0,3.0,2.0,38.0,25.0,8.0,13.0,0.0,5.0,2.0,14.0,56.0,2.71,47.0,5.0,0.0,0.0,2.0,0.1,0.0,0.0,0.0,0.0,0.0,24.0,13.0,15.0,6.0,3.0,9.0,0.0,9.0,16.0,10.0,1.0,1817.0,39.0,259.0,1160.0,408.0,18.0,1817.0,1129.0,45.0,40.0,7.0,1525.0,16.0,11.0,0.0,24.0,22.0,0.0,0.0,0.0,0.0,100.0,3.0,10.0,23.1
+Pau López,es ESP,GK,Roma,25,1994,21.0,20.0,1817.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,533.0,663.0,80.4,13288.0,9020.0,108.0,108.0,100.0,285.0,288.0,99.0,140.0,267.0,52.4,0.0,1.0,0.0,0.0,2.0,525.0,138.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,1.0,0.0,1.0,0.0,7.0,4.0,715.0,627.0,710.0,5.0,0.0,0.0,715.0,385.0,0.0,0.0,0.0,378.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,23.0,2.0,0.0,100.0
+Matteo Lovato,it ITA,DF,Hellas Verona,20,2000,24.0,14.0,1386.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.0,0.0,15.4,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,479.0,609.0,78.7,8921.0,3142.0,172.0,209.0,82.3,256.0,302.0,84.8,43.0,80.0,53.8,4.0,32.0,1.0,0.0,35.0,573.0,35.0,29.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,6.0,1.0,5.0,8.0,0.55,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,12.0,14.0,5.0,2.0,20.0,10.0,10.0,37.0,48.0,1.0,762.0,82.0,378.0,363.0,32.0,4.0,762.0,363.0,6.0,11.0,3.0,367.0,14.0,2.0,0.0,25.0,9.0,0.0,0.0,1.0,0.0,102.0,30.0,41.0,42.3
+Hirving Lozano,mx MEX,FW,Napoli,25,1995,32.0,23.0,1965.0,11.0,3.0,0.0,0.0,6.0,0.0,0.5,0.14,0.64,0.5,0.64,9.3,9.3,0.43,0.43,21.8,27.0,0.0,45.8,1.24,0.19,0.41,0.16,1.7,1.7,426.0,620.0,68.7,5456.0,1067.0,270.0,330.0,81.8,103.0,155.0,66.5,16.0,41.0,39.0,35.0,17.0,22.0,7.0,44.0,605.0,12.0,2.0,0.0,3.0,73.0,0.0,0.0,0.0,0.0,9.0,3.0,28.0,87.0,3.98,57.0,0.0,6.0,15.0,10.0,0.46,5.0,0.0,1.0,2.0,1.0,29.0,18.0,10.0,13.0,6.0,37.0,1.0,36.0,18.0,14.0,0.0,925.0,12.0,84.0,299.0,557.0,129.0,925.0,640.0,112.0,44.0,43.0,693.0,55.0,22.0,0.0,33.0,69.0,11.0,1.0,0.0,0.0,95.0,15.0,23.0,39.5
+José Luis Palomino,ar ARG,DF,Atalanta,30,1990,36.0,25.0,2428.0,1.0,2.0,0.0,0.0,3.0,0.0,0.04,0.07,0.11,0.04,0.11,0.3,0.3,0.01,0.01,27.0,1.0,0.0,25.0,0.04,0.25,1.0,0.07,0.7,0.7,1273.0,1554.0,81.9,23856.0,8941.0,462.0,523.0,88.3,655.0,739.0,88.6,134.0,242.0,55.4,9.0,93.0,2.0,0.0,136.0,1470.0,79.0,60.0,0.0,4.0,14.0,0.0,0.0,0.0,0.0,19.0,5.0,15.0,16.0,0.59,15.0,0.0,0.0,0.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,67.0,33.0,41.0,19.0,7.0,30.0,16.0,14.0,79.0,60.0,2.0,1831.0,153.0,836.0,914.0,97.0,17.0,1831.0,982.0,16.0,12.0,2.0,1026.0,13.0,5.0,0.0,48.0,16.0,2.0,0.0,1.0,0.0,222.0,59.0,45.0,56.7
+Romelu Lukaku,be BEL,FW,Inter,27,1993,36.0,32.0,2884.0,24.0,11.0,6.0,6.0,4.0,0.0,0.75,0.34,1.09,0.56,0.9,23.0,18.2,0.72,0.57,32.0,42.0,1.0,46.7,1.31,0.2,0.43,0.21,1.0,-0.2,538.0,762.0,70.6,6581.0,1431.0,334.0,424.0,78.8,108.0,154.0,70.1,22.0,38.0,57.9,52.0,37.0,38.0,2.0,82.0,698.0,56.0,1.0,6.0,10.0,19.0,0.0,0.0,0.0,0.0,0.0,8.0,39.0,127.0,3.96,91.0,0.0,13.0,5.0,28.0,0.87,18.0,0.0,5.0,0.0,0.0,11.0,1.0,1.0,6.0,4.0,11.0,1.0,10.0,3.0,34.0,0.0,1126.0,39.0,62.0,437.0,644.0,215.0,1120.0,628.0,77.0,46.0,50.0,916.0,93.0,49.0,0.0,34.0,48.0,19.0,0.0,0.0,0.0,51.0,45.0,57.0,44.1
+Saša Lukić,rs SRB,MF,Torino,23,1996,32.0,24.0,2106.0,3.0,0.0,0.0,0.0,4.0,0.0,0.13,0.0,0.13,0.13,0.13,1.8,1.8,0.08,0.08,23.4,7.0,0.0,36.8,0.3,0.16,0.43,0.1,1.2,1.2,632.0,804.0,78.6,9388.0,2372.0,354.0,409.0,86.6,202.0,246.0,82.1,43.0,64.0,67.2,23.0,62.0,21.0,8.0,72.0,779.0,23.0,13.0,2.0,4.0,35.0,4.0,1.0,2.0,0.0,5.0,2.0,32.0,60.0,2.56,46.0,2.0,1.0,8.0,2.0,0.09,1.0,0.0,0.0,1.0,0.0,32.0,13.0,11.0,18.0,3.0,23.0,5.0,18.0,17.0,17.0,0.0,1019.0,20.0,155.0,557.0,325.0,40.0,1019.0,607.0,54.0,38.0,7.0,698.0,36.0,21.0,0.0,45.0,37.0,1.0,1.0,0.0,0.0,101.0,23.0,55.0,29.5
+Senad Lulić,ba BIH,DF,Lazio,34,1986,16.0,8.0,718.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,8.0,3.0,0.0,50.0,0.38,0.0,0.0,0.07,-0.4,-0.4,242.0,346.0,69.9,4026.0,1220.0,115.0,143.0,80.4,97.0,126.0,77.0,23.0,49.0,46.9,4.0,13.0,8.0,4.0,24.0,304.0,40.0,2.0,0.0,0.0,23.0,1.0,0.0,0.0,0.0,37.0,2.0,10.0,10.0,1.25,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,7.0,6.0,5.0,3.0,10.0,1.0,9.0,4.0,13.0,0.0,420.0,16.0,111.0,169.0,144.0,22.0,420.0,201.0,16.0,17.0,3.0,248.0,12.0,9.0,0.0,13.0,3.0,2.0,0.0,0.0,0.0,53.0,9.0,4.0,69.2
+Sebastiano Luperto,it ITA,DF,Crotone,23,1996,23.0,22.0,1879.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.01,0.01,20.9,1.0,0.0,20.0,0.05,0.0,0.0,0.06,-0.3,-0.3,836.0,1024.0,81.6,15124.0,6124.0,328.0,350.0,93.7,446.0,505.0,88.3,56.0,139.0,40.3,6.0,49.0,0.0,0.0,69.0,965.0,57.0,43.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,12.0,2.0,13.0,11.0,0.53,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,20.0,28.0,8.0,2.0,17.0,7.0,10.0,27.0,74.0,1.0,1197.0,177.0,665.0,496.0,45.0,11.0,1197.0,673.0,14.0,7.0,0.0,758.0,11.0,2.0,1.0,28.0,19.0,0.0,0.0,0.0,0.0,113.0,26.0,22.0,54.2
+Lyanco,br BRA,DF,Torino,23,1997,23.0,21.0,1959.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.05,0.05,21.8,3.0,0.0,25.0,0.14,0.0,0.0,0.08,-1.0,-1.0,1079.0,1263.0,85.4,22353.0,8180.0,325.0,358.0,90.8,569.0,621.0,91.6,175.0,261.0,67.0,6.0,61.0,4.0,0.0,69.0,1199.0,61.0,59.0,0.0,17.0,6.0,0.0,0.0,0.0,0.0,2.0,3.0,4.0,17.0,0.78,16.0,0.0,1.0,0.0,2.0,0.09,2.0,0.0,0.0,0.0,0.0,21.0,14.0,13.0,6.0,2.0,36.0,26.0,10.0,46.0,76.0,0.0,1484.0,227.0,798.0,652.0,56.0,15.0,1484.0,912.0,16.0,18.0,2.0,931.0,9.0,4.0,0.0,24.0,13.0,0.0,0.0,1.0,0.0,178.0,36.0,24.0,60.0
+Charalambos Lykogiannis,gr GRE,DF,Cagliari,26,1993,31.0,29.0,2418.0,4.0,2.0,0.0,0.0,10.0,2.0,0.15,0.07,0.22,0.15,0.22,2.1,2.1,0.08,0.08,26.9,7.0,9.0,25.0,0.26,0.14,0.57,0.08,1.9,1.9,809.0,1201.0,67.4,13966.0,6444.0,394.0,454.0,86.8,333.0,480.0,69.4,69.0,180.0,38.3,14.0,66.0,18.0,10.0,79.0,918.0,279.0,43.0,0.0,7.0,118.0,27.0,5.0,20.0,0.0,209.0,4.0,46.0,33.0,1.23,21.0,9.0,3.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,34.0,21.0,22.0,9.0,3.0,34.0,13.0,21.0,32.0,94.0,0.0,1495.0,128.0,498.0,633.0,381.0,27.0,1495.0,641.0,39.0,34.0,6.0,776.0,34.0,9.0,2.0,29.0,24.0,2.0,0.0,1.0,0.0,121.0,57.0,33.0,63.3
+Lisandro Magallán,ar ARG,DF,Crotone,26,1993,28.0,25.0,2181.0,1.0,2.0,0.0,0.0,10.0,0.0,0.04,0.08,0.12,0.04,0.12,1.2,1.2,0.05,0.05,24.2,2.0,0.0,25.0,0.08,0.13,0.5,0.15,-0.2,-0.2,903.0,1109.0,81.4,16685.0,7382.0,350.0,411.0,85.2,456.0,522.0,87.4,86.0,137.0,62.8,9.0,70.0,5.0,0.0,70.0,1033.0,74.0,35.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,39.0,2.0,18.0,20.0,0.82,16.0,1.0,2.0,1.0,3.0,0.12,3.0,0.0,0.0,0.0,0.0,54.0,31.0,28.0,24.0,2.0,29.0,15.0,14.0,44.0,78.0,1.0,1359.0,135.0,701.0,596.0,69.0,12.0,1359.0,674.0,12.0,2.0,1.0,774.0,17.0,5.0,0.0,65.0,13.0,0.0,0.0,1.0,0.0,141.0,43.0,26.0,62.3
+Christian Maggio,it ITA,DF,Benevento,38,1982,8.0,2.0,297.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,106.0,141.0,75.2,1584.0,861.0,64.0,73.0,87.7,36.0,45.0,80.0,5.0,13.0,38.5,0.0,4.0,0.0,0.0,7.0,112.0,29.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,26.0,0.0,6.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,2.0,7.0,0.0,4.0,1.0,3.0,2.0,6.0,0.0,169.0,4.0,64.0,76.0,30.0,4.0,169.0,79.0,5.0,2.0,0.0,100.0,1.0,2.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,12.0,3.0,8.0,27.3
+Giulio Maggiore,it ITA,MF,Spezia,22,1998,33.0,26.0,2214.0,3.0,1.0,0.0,0.0,3.0,0.0,0.12,0.04,0.16,0.12,0.16,4.7,4.7,0.19,0.19,24.6,14.0,0.0,36.8,0.57,0.08,0.21,0.13,-1.7,-1.7,565.0,817.0,69.2,8648.0,2457.0,297.0,375.0,79.2,198.0,276.0,71.7,40.0,86.0,46.5,13.0,58.0,13.0,0.0,77.0,795.0,17.0,4.0,5.0,5.0,19.0,0.0,0.0,0.0,0.0,13.0,5.0,22.0,35.0,1.42,25.0,0.0,4.0,3.0,4.0,0.16,3.0,0.0,1.0,0.0,0.0,61.0,36.0,26.0,28.0,7.0,33.0,6.0,27.0,19.0,25.0,1.0,1111.0,31.0,191.0,580.0,358.0,76.0,1111.0,624.0,38.0,26.0,14.0,719.0,55.0,14.0,0.0,58.0,41.0,4.0,0.0,0.0,0.0,132.0,31.0,33.0,48.4
+Francesco Magnanelli,it ITA,MF,Sassuolo,35,1984,10.0,7.0,440.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,4.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,361.0,421.0,85.7,6066.0,1587.0,169.0,184.0,91.8,145.0,166.0,87.3,34.0,47.0,72.3,4.0,39.0,1.0,0.0,33.0,410.0,10.0,10.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,8.0,1.64,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,2.0,5.0,0.0,6.0,2.0,4.0,13.0,10.0,0.0,466.0,27.0,111.0,309.0,46.0,0.0,466.0,240.0,2.0,5.0,0.0,337.0,6.0,0.0,0.0,5.0,6.0,0.0,0.0,0.0,0.0,50.0,3.0,13.0,18.8
+Giangiacomo Magnani,it ITA,DF,Hellas Verona,24,1995,25.0,15.0,1510.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.06,0.06,16.8,2.0,0.0,15.4,0.12,0.0,0.0,0.08,-1.0,-1.0,459.0,611.0,75.1,9116.0,2831.0,135.0,168.0,80.4,253.0,304.0,83.2,63.0,106.0,59.4,1.0,29.0,3.0,1.0,30.0,584.0,24.0,22.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,2.0,3.0,7.0,5.0,0.3,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,15.0,14.0,9.0,3.0,25.0,16.0,9.0,44.0,105.0,1.0,845.0,116.0,452.0,361.0,39.0,11.0,845.0,342.0,5.0,4.0,0.0,362.0,16.0,1.0,0.0,44.0,29.0,0.0,0.0,0.0,1.0,82.0,76.0,40.0,65.5
+Jean-Victor Makengo,fr FRA,MF,Udinese,22,1998,17.0,5.0,522.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,153.0,195.0,78.5,2396.0,592.0,89.0,99.0,89.9,51.0,58.0,87.9,10.0,17.0,58.8,2.0,21.0,3.0,0.0,23.0,192.0,2.0,0.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,2.0,1.0,11.0,6.0,1.04,6.0,0.0,0.0,0.0,1.0,0.17,1.0,0.0,0.0,0.0,0.0,8.0,7.0,5.0,3.0,0.0,7.0,1.0,6.0,5.0,7.0,0.0,262.0,10.0,54.0,142.0,70.0,8.0,262.0,167.0,10.0,9.0,4.0,178.0,14.0,11.0,0.0,12.0,4.0,0.0,0.0,0.0,0.0,27.0,6.0,0.0,100.0
+Nikola Maksimović,rs SRB,DF,Napoli,28,1991,17.0,12.0,1207.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,13.4,1.0,0.0,20.0,0.07,0.0,0.0,0.12,-0.6,-0.6,886.0,963.0,92.0,17592.0,6229.0,277.0,298.0,93.0,505.0,528.0,95.6,101.0,125.0,80.8,3.0,33.0,0.0,0.0,40.0,925.0,38.0,25.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,11.0,0.82,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,9.0,11.0,6.0,1.0,15.0,6.0,9.0,21.0,49.0,3.0,1095.0,151.0,580.0,500.0,22.0,11.0,1095.0,650.0,10.0,4.0,0.0,791.0,5.0,3.0,0.0,5.0,6.0,0.0,0.0,0.0,1.0,71.0,35.0,11.0,76.1
+Kévin Malcuit,ma MAR,DF,Fiorentina,29,1991,5.0,2.0,207.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,69.0,97.0,71.1,1003.0,249.0,44.0,48.0,91.7,17.0,29.0,58.6,4.0,9.0,44.4,1.0,3.0,1.0,1.0,8.0,81.0,16.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,16.0,0.0,4.0,5.0,2.17,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,2.0,1.0,5.0,0.0,5.0,3.0,6.0,0.0,131.0,5.0,28.0,54.0,51.0,5.0,131.0,65.0,12.0,6.0,3.0,75.0,3.0,3.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,7.0,2.0,1.0,66.7
+"Kévin Malcuit,ma MAR,""FW,MF"",Napoli,29,1991,2.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,24.0,83.3,280.0,21.0,11.0,12.0,91.7,8.0,9.0,88.9,1.0,3.0,33.3,0.0,1.0,0.0,0.0,0.0,23.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,32.0,0.0,5.0,22.0,5.0,0.0,32.0,18.0,2.0,0.0,0.0,22.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0"
+"Daniel Maldini,it ITA,""FW,DF"",Milan,18,2001,5.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.24,0.24,0.3,1.0,0.0,100.0,3.1,0.0,0.0,0.08,-0.1,-0.1,13.0,15.0,86.7,218.0,97.0,8.0,8.0,100.0,3.0,5.0,60.0,2.0,2.0,100.0,0.0,2.0,1.0,1.0,2.0,15.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,0.0,4.0,5.0,11.0,2.0,19.0,10.0,1.0,1.0,1.0,13.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0"
+"Ruslan Malinovskyi,ua UKR,""MF,FW"",Atalanta,27,1993,36.0,22.0,1876.0,8.0,12.0,1.0,1.0,3.0,0.0,0.38,0.58,0.96,0.34,0.91,5.6,4.9,0.27,0.23,20.8,20.0,12.0,30.3,0.96,0.11,0.35,0.07,2.4,2.1,840.0,1128.0,74.5,15502.0,5075.0,371.0,440.0,84.3,330.0,425.0,77.6,111.0,190.0,58.4,78.0,89.0,58.0,7.0,151.0,1010.0,112.0,20.0,8.0,23.0,122.0,85.0,40.0,44.0,0.0,6.0,6.0,25.0,133.0,6.38,91.0,24.0,4.0,7.0,19.0,0.91,17.0,2.0,0.0,0.0,0.0,19.0,8.0,2.0,13.0,4.0,16.0,1.0,15.0,2.0,4.0,0.0,1396.0,6.0,85.0,549.0,782.0,69.0,1395.0,938.0,90.0,59.0,23.0,1086.0,64.0,47.0,0.0,46.0,53.0,1.0,0.0,0.0,0.0,121.0,29.0,31.0,48.3"
+"Dennis Man,ro ROU,""FW,MF"",Parma,21,1998,14.0,8.0,699.0,2.0,1.0,0.0,0.0,1.0,0.0,0.26,0.13,0.39,0.26,0.39,2.5,2.5,0.33,0.33,7.8,6.0,0.0,31.6,0.77,0.11,0.33,0.13,-0.5,-0.5,220.0,262.0,84.0,3261.0,807.0,120.0,141.0,85.1,72.0,82.0,87.8,15.0,19.0,78.9,5.0,21.0,12.0,3.0,38.0,260.0,2.0,0.0,0.0,3.0,7.0,1.0,0.0,0.0,0.0,1.0,0.0,5.0,20.0,2.58,14.0,0.0,0.0,2.0,4.0,0.52,3.0,0.0,0.0,0.0,0.0,12.0,6.0,6.0,4.0,2.0,5.0,0.0,5.0,2.0,6.0,0.0,345.0,5.0,48.0,159.0,146.0,30.0,345.0,225.0,22.0,23.0,6.0,262.0,20.0,10.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,31.0,6.0,7.0,46.2"
+Gianluca Mancini,it ITA,DF,Roma,24,1996,33.0,33.0,2852.0,4.0,2.0,0.0,0.0,10.0,0.0,0.13,0.06,0.19,0.13,0.19,2.7,2.7,0.09,0.09,31.7,11.0,0.0,39.3,0.35,0.14,0.36,0.1,1.3,1.3,1731.0,1967.0,88.0,32631.0,9987.0,654.0,701.0,93.3,872.0,938.0,93.0,189.0,284.0,66.5,7.0,137.0,13.0,2.0,150.0,1890.0,76.0,59.0,0.0,12.0,14.0,0.0,0.0,0.0,0.0,17.0,1.0,16.0,28.0,0.91,25.0,0.0,3.0,0.0,5.0,0.16,5.0,0.0,0.0,0.0,0.0,50.0,29.0,29.0,19.0,2.0,38.0,18.0,20.0,72.0,77.0,3.0,2261.0,179.0,850.0,1247.0,184.0,31.0,2261.0,1289.0,42.0,28.0,2.0,1629.0,11.0,8.0,0.0,67.0,26.0,1.0,0.0,1.0,0.0,181.0,55.0,33.0,62.5
+Rolando Mandragora,it ITA,MF,Udinese,23,1997,10.0,3.0,398.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.23,0.23,4.4,4.0,1.0,44.4,0.9,0.0,0.0,0.11,-1.0,-1.0,127.0,164.0,77.4,1981.0,504.0,71.0,79.0,89.9,48.0,59.0,81.4,7.0,14.0,50.0,4.0,12.0,4.0,1.0,19.0,161.0,3.0,0.0,0.0,0.0,6.0,2.0,2.0,0.0,0.0,1.0,0.0,6.0,7.0,1.58,7.0,0.0,0.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,8.0,5.0,3.0,4.0,1.0,10.0,3.0,7.0,6.0,5.0,0.0,216.0,7.0,42.0,111.0,64.0,6.0,216.0,114.0,2.0,1.0,1.0,140.0,5.0,5.0,0.0,5.0,4.0,0.0,0.0,1.0,0.0,14.0,6.0,2.0,75.0
+Rolando Mandragora,it ITA,MF,Torino,23,1997,17.0,17.0,1525.0,3.0,1.0,0.0,0.0,5.0,1.0,0.18,0.06,0.24,0.18,0.24,2.8,2.8,0.17,0.17,16.9,8.0,1.0,29.6,0.47,0.11,0.38,0.11,0.2,0.2,590.0,736.0,80.2,9313.0,2478.0,300.0,335.0,89.6,216.0,261.0,82.8,48.0,90.0,53.3,16.0,56.0,8.0,3.0,61.0,650.0,84.0,52.0,1.0,4.0,36.0,22.0,9.0,9.0,0.0,0.0,2.0,9.0,43.0,2.54,32.0,5.0,3.0,3.0,5.0,0.3,2.0,1.0,2.0,0.0,0.0,19.0,4.0,4.0,9.0,6.0,19.0,6.0,13.0,20.0,19.0,0.0,887.0,28.0,180.0,505.0,214.0,22.0,887.0,397.0,8.0,15.0,0.0,489.0,20.0,6.0,1.0,32.0,30.0,1.0,0.0,0.0,0.0,85.0,9.0,8.0,52.9
+Mario Mandžukić,hr CRO,FW,Milan,34,1986,10.0,1.0,212.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.42,0.42,2.4,3.0,0.0,60.0,1.27,0.0,0.0,0.2,-1.0,-1.0,35.0,50.0,70.0,451.0,161.0,22.0,33.0,66.7,8.0,9.0,88.9,2.0,3.0,66.7,2.0,2.0,0.0,0.0,5.0,49.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.7,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,2.0,4.0,1.0,0.0,0.0,0.0,2.0,3.0,0.0,71.0,4.0,10.0,35.0,28.0,8.0,71.0,22.0,0.0,1.0,0.0,47.0,1.0,1.0,0.0,9.0,2.0,2.0,0.0,0.0,0.0,7.0,9.0,13.0,40.9
+Niccolò Manfredini,it ITA,GK,Benevento,32,1988,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,31.0,87.1,653.0,361.0,5.0,5.0,100.0,15.0,15.0,100.0,7.0,11.0,63.6,0.0,0.0,0.0,0.0,0.0,22.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,36.0,33.0,36.0,0.0,0.0,0.0,36.0,18.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+Kostas Manolas,gr GRE,DF,Napoli,29,1991,30.0,27.0,2298.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.03,0.03,25.5,3.0,0.0,37.5,0.12,0.0,0.0,0.11,-0.9,-0.9,1442.0,1555.0,92.7,28283.0,9379.0,470.0,505.0,93.1,792.0,813.0,97.4,167.0,211.0,79.1,5.0,47.0,5.0,0.0,73.0,1482.0,71.0,53.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,4.0,22.0,0.86,14.0,0.0,2.0,2.0,2.0,0.08,0.0,0.0,1.0,1.0,0.0,31.0,18.0,24.0,7.0,0.0,22.0,13.0,9.0,23.0,82.0,2.0,1735.0,201.0,835.0,878.0,26.0,11.0,1735.0,1107.0,4.0,4.0,1.0,1273.0,1.0,1.0,0.0,21.0,12.0,0.0,1.0,1.0,0.0,93.0,41.0,37.0,52.6
+Juan Manuel Ramos,uy URU,DF,Spezia,23,1996,6.0,2.0,294.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,126.0,166.0,75.9,2042.0,715.0,58.0,65.0,89.2,54.0,66.0,81.8,11.0,20.0,55.0,4.0,5.0,3.0,1.0,11.0,127.0,38.0,2.0,0.0,1.0,12.0,7.0,0.0,7.0,0.0,29.0,1.0,8.0,5.0,1.53,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0,2.0,1.0,0.0,1.0,2.0,6.0,0.0,197.0,8.0,55.0,77.0,67.0,2.0,197.0,95.0,7.0,9.0,0.0,112.0,9.0,2.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,12.0,4.0,0.0,100.0
+Federico Marchetti,it ITA,GK,Genoa,37,1983,4.0,4.0,334.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,137.0,83.2,2393.0,1560.0,48.0,48.0,100.0,45.0,46.0,97.8,21.0,43.0,48.8,0.0,0.0,0.0,0.0,0.0,98.0,39.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.27,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,143.0,129.0,142.0,1.0,0.0,0.0,143.0,79.0,0.0,0.0,0.0,75.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,1.0,0.0
+Riccardo Marchizza,it ITA,DF,Spezia,22,1998,24.0,17.0,1561.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.12,0.12,0.0,0.12,0.4,0.4,0.02,0.02,17.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,761.0,969.0,78.5,14119.0,3434.0,317.0,340.0,93.2,336.0,398.0,84.4,91.0,174.0,52.3,15.0,35.0,11.0,8.0,45.0,784.0,184.0,24.0,1.0,2.0,71.0,21.0,0.0,16.0,0.0,139.0,1.0,34.0,28.0,1.61,17.0,11.0,0.0,0.0,3.0,0.17,2.0,1.0,0.0,0.0,0.0,20.0,11.0,12.0,5.0,3.0,13.0,4.0,9.0,11.0,27.0,0.0,1101.0,43.0,385.0,437.0,288.0,27.0,1101.0,598.0,33.0,20.0,6.0,671.0,23.0,8.0,0.0,17.0,14.0,3.0,0.0,1.0,0.0,82.0,22.0,18.0,55.0
+Gian Marco Ferrari,it ITA,DF,Sassuolo,28,1992,34.0,33.0,3014.0,0.0,4.0,0.0,0.0,7.0,0.0,0.0,0.12,0.12,0.0,0.12,2.0,2.0,0.06,0.06,33.5,5.0,0.0,20.0,0.15,0.0,0.0,0.08,-2.0,-2.0,2495.0,2732.0,91.3,43350.0,16999.0,1011.0,1074.0,94.1,1268.0,1335.0,95.0,168.0,240.0,70.0,15.0,229.0,11.0,0.0,187.0,2623.0,100.0,68.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,13.0,9.0,16.0,37.0,1.1,29.0,1.0,4.0,2.0,6.0,0.18,5.0,0.0,0.0,1.0,0.0,32.0,20.0,15.0,14.0,3.0,46.0,37.0,9.0,50.0,100.0,1.0,3045.0,371.0,1280.0,1645.0,133.0,37.0,3045.0,1950.0,38.0,32.0,4.0,2325.0,17.0,7.0,0.0,41.0,36.0,0.0,1.0,0.0,0.0,172.0,69.0,52.0,57.0
+Răzvan Marin,ro ROU,MF,Cagliari,24,1996,37.0,35.0,2965.0,3.0,6.0,0.0,0.0,6.0,0.0,0.09,0.18,0.27,0.09,0.27,1.4,1.4,0.04,0.04,32.9,10.0,1.0,37.0,0.3,0.11,0.3,0.05,1.6,1.6,1389.0,1698.0,81.8,24363.0,7325.0,631.0,696.0,90.7,548.0,617.0,88.8,163.0,297.0,54.9,69.0,142.0,30.0,5.0,159.0,1451.0,239.0,103.0,1.0,8.0,161.0,119.0,36.0,65.0,0.0,9.0,8.0,22.0,112.0,3.4,62.0,42.0,1.0,1.0,9.0,0.27,5.0,3.0,0.0,0.0,0.0,54.0,33.0,26.0,22.0,6.0,29.0,10.0,19.0,29.0,15.0,0.0,1984.0,44.0,383.0,1089.0,543.0,32.0,1984.0,1065.0,45.0,48.0,7.0,1282.0,49.0,25.0,0.0,49.0,23.0,2.0,0.0,0.0,0.0,186.0,10.0,18.0,35.7
+Marlon,br BRA,DF,Sassuolo,24,1995,24.0,19.0,1742.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.01,0.01,19.4,2.0,0.0,50.0,0.1,0.0,0.0,0.07,-0.3,-0.3,1545.0,1627.0,95.0,26683.0,9056.0,626.0,653.0,95.9,784.0,806.0,97.3,102.0,120.0,85.0,1.0,101.0,1.0,0.0,79.0,1584.0,41.0,39.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,11.0,0.57,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,13.0,13.0,6.0,0.0,23.0,17.0,6.0,27.0,44.0,2.0,1763.0,152.0,648.0,1068.0,55.0,7.0,1763.0,1127.0,12.0,10.0,0.0,1375.0,5.0,4.0,1.0,26.0,8.0,0.0,0.0,2.0,0.0,112.0,38.0,30.0,55.9
+Luca Marrone,it ITA,DF,Crotone,30,1990,21.0,18.0,1588.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,17.6,2.0,0.0,50.0,0.11,0.0,0.0,0.11,-0.4,-0.4,891.0,1018.0,87.5,17532.0,6431.0,276.0,295.0,93.6,524.0,564.0,92.9,86.0,146.0,58.9,0.0,20.0,1.0,0.0,33.0,961.0,57.0,57.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,0.23,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,18.0,16.0,9.0,0.0,22.0,11.0,11.0,26.0,56.0,1.0,1169.0,215.0,717.0,443.0,11.0,5.0,1169.0,707.0,4.0,2.0,0.0,780.0,5.0,1.0,0.0,36.0,10.0,0.0,0.0,1.0,1.0,105.0,20.0,22.0,47.6
+Lautaro Martínez,ar ARG,FW,Inter,22,1997,38.0,30.0,2561.0,17.0,6.0,2.0,2.0,5.0,0.0,0.6,0.21,0.81,0.53,0.74,15.2,13.6,0.53,0.48,28.5,37.0,0.0,34.6,1.3,0.14,0.41,0.13,1.8,1.4,380.0,566.0,67.1,5498.0,1325.0,230.0,310.0,74.2,87.0,121.0,71.9,32.0,46.0,69.6,38.0,27.0,19.0,2.0,61.0,558.0,8.0,0.0,1.0,7.0,12.0,0.0,0.0,0.0,0.0,3.0,0.0,28.0,86.0,3.02,56.0,0.0,8.0,10.0,15.0,0.53,10.0,0.0,1.0,3.0,1.0,25.0,12.0,5.0,11.0,9.0,31.0,1.0,30.0,27.0,16.0,0.0,966.0,15.0,83.0,365.0,535.0,184.0,964.0,536.0,48.0,24.0,26.0,706.0,90.0,33.0,0.0,64.0,61.0,11.0,3.0,0.0,0.0,97.0,25.0,48.0,34.2
+Lucas Martínez Quarta,ar ARG,DF,Fiorentina,24,1996,21.0,15.0,1483.0,1.0,0.0,0.0,0.0,4.0,1.0,0.06,0.0,0.06,0.06,0.06,1.5,1.5,0.09,0.09,16.5,4.0,0.0,25.0,0.24,0.06,0.25,0.09,-0.5,-0.5,667.0,830.0,80.4,13041.0,5425.0,243.0,277.0,87.7,328.0,380.0,86.3,92.0,157.0,58.6,7.0,61.0,6.0,3.0,70.0,775.0,52.0,26.0,0.0,16.0,5.0,0.0,0.0,0.0,0.0,26.0,3.0,5.0,17.0,1.03,15.0,0.0,0.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,32.0,20.0,17.0,11.0,4.0,27.0,9.0,18.0,39.0,48.0,0.0,1025.0,96.0,474.0,455.0,108.0,25.0,1025.0,607.0,31.0,31.0,2.0,628.0,14.0,6.0,0.0,23.0,10.0,0.0,0.0,1.0,0.0,107.0,28.0,22.0,56.0
+Adam Marušić,me MNE,DF,Lazio,27,1992,36.0,33.0,2966.0,2.0,3.0,0.0,0.0,3.0,0.0,0.06,0.09,0.15,0.06,0.15,2.2,2.2,0.07,0.07,33.0,12.0,0.0,44.4,0.36,0.07,0.17,0.08,-0.2,-0.2,1312.0,1578.0,83.1,21586.0,6374.0,631.0,699.0,90.3,531.0,606.0,87.6,106.0,182.0,58.2,29.0,70.0,22.0,14.0,92.0,1383.0,192.0,23.0,0.0,6.0,64.0,0.0,0.0,0.0,0.0,168.0,3.0,28.0,63.0,1.91,53.0,4.0,5.0,0.0,5.0,0.15,4.0,0.0,1.0,0.0,0.0,38.0,22.0,22.0,15.0,1.0,38.0,6.0,32.0,40.0,54.0,0.0,1865.0,92.0,546.0,854.0,482.0,59.0,1865.0,1021.0,53.0,40.0,11.0,1186.0,25.0,20.0,0.0,19.0,16.0,4.0,0.0,1.0,1.0,185.0,28.0,27.0,50.9
+Andrea Masiello,it ITA,DF,Genoa,34,1986,30.0,30.0,2563.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.02,0.02,28.5,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.5,-0.5,1185.0,1422.0,83.3,21754.0,8970.0,493.0,540.0,91.3,528.0,597.0,88.4,136.0,238.0,57.1,7.0,75.0,10.0,3.0,99.0,1359.0,58.0,43.0,0.0,30.0,8.0,0.0,0.0,0.0,0.0,15.0,5.0,4.0,19.0,0.67,17.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,22.0,29.0,6.0,3.0,32.0,13.0,19.0,53.0,107.0,3.0,1670.0,197.0,825.0,772.0,81.0,11.0,1670.0,924.0,9.0,13.0,1.0,1045.0,5.0,4.0,0.0,15.0,12.0,1.0,0.0,1.0,0.0,156.0,40.0,34.0,54.1
+Giuseppe Mastinu,it ITA,FW,Spezia,28,1991,3.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,136.0,41.0,5.0,6.0,83.3,2.0,3.0,66.7,1.0,2.0,50.0,0.0,1.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,5.63,1.0,0.0,0.0,0.0,1.0,2.81,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,17.0,0.0,2.0,10.0,5.0,1.0,17.0,11.0,0.0,0.0,0.0,12.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Ryder Matos,br BRA,MF,Udinese,27,1993,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,8.0,75.0,87.0,34.0,5.0,6.0,83.3,0.0,0.0,0.0,1.0,2.0,50.0,1.0,1.0,1.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,20.77,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,5.0,4.0,1.0,8.0,9.0,4.0,1.0,0.0,10.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Federico Mattiello,it ITA,DF,Spezia,25,1995,1.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,41.0,65.9,485.0,238.0,13.0,16.0,81.3,8.0,11.0,72.7,5.0,11.0,45.5,0.0,3.0,0.0,0.0,2.0,34.0,7.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,0.0,11.0,22.0,9.0,0.0,41.0,20.0,1.0,0.0,0.0,27.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,25.0
+Borja Mayoral,es ESP,FW,Roma,23,1997,31.0,18.0,1551.0,10.0,3.0,0.0,0.0,1.0,0.0,0.58,0.17,0.75,0.58,0.75,6.8,6.8,0.4,0.4,17.2,15.0,0.0,37.5,0.87,0.25,0.67,0.17,3.2,3.2,291.0,372.0,78.2,4520.0,668.0,169.0,205.0,82.4,77.0,96.0,80.2,28.0,34.0,82.4,23.0,19.0,10.0,0.0,35.0,342.0,30.0,2.0,0.0,7.0,7.0,1.0,0.0,0.0,0.0,2.0,0.0,11.0,50.0,2.9,36.0,0.0,8.0,2.0,7.0,0.41,3.0,0.0,1.0,1.0,0.0,3.0,2.0,0.0,0.0,3.0,5.0,0.0,5.0,0.0,5.0,2.0,504.0,6.0,24.0,215.0,269.0,73.0,504.0,305.0,27.0,16.0,13.0,425.0,39.0,23.0,0.0,10.0,28.0,13.0,1.0,0.0,0.0,27.0,15.0,51.0,22.7
+Antonio Mazzotta,it ITA,DF,Crotone,30,1989,2.0,1.0,56.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,11.0,63.6,91.0,6.0,5.0,7.0,71.4,2.0,3.0,66.7,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,15.0,1.0,3.0,8.0,4.0,1.0,15.0,7.0,1.0,0.0,0.0,9.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Ibrahima Mbaye,sn SEN,DF,Bologna,25,1994,8.0,5.0,428.0,1.0,0.0,0.0,0.0,2.0,0.0,0.21,0.0,0.21,0.21,0.21,0.6,0.0,0.12,0.0,4.8,1.0,0.0,100.0,0.21,1.0,1.0,0.0,0.4,1.0,170.0,210.0,81.0,2544.0,1005.0,92.0,110.0,83.6,63.0,73.0,86.3,9.0,14.0,64.3,1.0,10.0,0.0,0.0,11.0,169.0,41.0,3.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,38.0,0.0,3.0,5.0,1.05,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,5.0,5.0,1.0,0.0,5.0,3.0,2.0,1.0,10.0,0.0,246.0,24.0,81.0,128.0,39.0,3.0,246.0,99.0,3.0,1.0,0.0,136.0,1.0,1.0,0.0,3.0,5.0,1.0,0.0,0.0,0.0,26.0,12.0,11.0,52.2
+Weston McKennie,us USA,MF,Juventus,21,1998,34.0,18.0,1702.0,5.0,2.0,0.0,0.0,5.0,0.0,0.26,0.11,0.37,0.26,0.37,4.9,4.9,0.26,0.26,18.9,14.0,0.0,48.3,0.74,0.17,0.36,0.17,0.1,0.1,659.0,785.0,83.9,9928.0,2170.0,383.0,428.0,89.5,205.0,240.0,85.4,42.0,56.0,75.0,27.0,39.0,16.0,0.0,79.0,759.0,22.0,4.0,1.0,6.0,9.0,0.0,0.0,0.0,0.0,18.0,4.0,17.0,55.0,2.91,47.0,0.0,4.0,0.0,4.0,0.21,3.0,0.0,1.0,0.0,0.0,34.0,19.0,9.0,20.0,5.0,21.0,3.0,18.0,28.0,26.0,0.0,1001.0,42.0,181.0,478.0,350.0,71.0,1001.0,457.0,35.0,27.0,6.0,689.0,38.0,22.0,0.0,44.0,7.0,4.0,0.0,0.0,0.0,100.0,29.0,28.0,50.9
+"Gary Medel,cl CHI,""DF,MF"",Bologna,32,1987,11.0,6.0,511.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.18,0.18,0.0,0.18,0.0,0.0,0.0,0.0,5.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,314.0,342.0,91.8,6206.0,2177.0,109.0,118.0,92.4,154.0,160.0,96.3,48.0,54.0,88.9,2.0,26.0,1.0,0.0,26.0,325.0,17.0,13.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,5.0,0.88,5.0,0.0,0.0,0.0,2.0,0.35,2.0,0.0,0.0,0.0,0.0,12.0,9.0,6.0,5.0,1.0,8.0,6.0,2.0,7.0,10.0,0.0,385.0,38.0,172.0,200.0,20.0,0.0,385.0,228.0,2.0,3.0,0.0,245.0,6.0,1.0,0.0,5.0,10.0,0.0,0.0,0.0,0.0,43.0,7.0,6.0,53.8"
+Soualiho Meïté,fr FRA,MF,Torino,26,1994,14.0,11.0,920.0,1.0,1.0,0.0,0.0,0.0,0.0,0.1,0.1,0.2,0.1,0.2,0.7,0.7,0.07,0.07,10.2,4.0,0.0,50.0,0.39,0.13,0.25,0.1,0.3,0.3,315.0,380.0,82.9,5144.0,1033.0,171.0,189.0,90.5,101.0,115.0,87.8,33.0,46.0,71.7,7.0,19.0,4.0,0.0,35.0,375.0,4.0,4.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,17.0,1.66,14.0,0.0,2.0,0.0,4.0,0.39,2.0,0.0,2.0,0.0,0.0,11.0,7.0,6.0,4.0,1.0,18.0,1.0,17.0,10.0,9.0,1.0,486.0,12.0,117.0,266.0,113.0,10.0,486.0,271.0,11.0,12.0,1.0,344.0,16.0,21.0,0.0,11.0,9.0,1.0,0.0,0.0,0.0,57.0,6.0,10.0,37.5
+Soualiho Meïté,fr FRA,MF,Milan,26,1994,16.0,4.0,588.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,6.5,3.0,0.0,42.9,0.46,0.0,0.0,0.05,-0.3,-0.3,243.0,289.0,84.1,3973.0,940.0,116.0,138.0,84.1,93.0,104.0,89.4,21.0,25.0,84.0,5.0,31.0,4.0,0.0,28.0,280.0,7.0,6.0,1.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,16.0,2.45,12.0,0.0,1.0,1.0,2.0,0.31,2.0,0.0,0.0,0.0,0.0,18.0,10.0,10.0,6.0,2.0,9.0,2.0,7.0,8.0,16.0,0.0,381.0,22.0,91.0,219.0,78.0,7.0,381.0,181.0,12.0,8.0,1.0,223.0,6.0,11.0,0.0,13.0,14.0,2.0,0.0,0.0,0.0,62.0,12.0,8.0,60.0
+"Filippo Melegoni,it ITA,""MF,DF"",Genoa,21,1999,14.0,3.0,389.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.08,0.08,4.3,1.0,2.0,25.0,0.23,0.0,0.0,0.09,-0.4,-0.4,197.0,234.0,84.2,2925.0,760.0,106.0,116.0,91.4,64.0,75.0,85.3,14.0,22.0,63.6,4.0,12.0,4.0,0.0,16.0,208.0,24.0,2.0,0.0,2.0,14.0,11.0,6.0,2.0,0.0,10.0,2.0,1.0,7.0,1.62,3.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,6.0,2.0,5.0,0.0,5.0,0.0,5.0,5.0,8.0,0.0,291.0,9.0,65.0,133.0,95.0,5.0,291.0,190.0,11.0,7.0,2.0,213.0,13.0,8.0,0.0,3.0,5.0,0.0,0.0,0.0,0.0,14.0,2.0,2.0,50.0"
+Arthur Melo,br BRA,MF,Juventus,23,1996,22.0,13.0,1157.0,1.0,0.0,0.0,0.0,3.0,0.0,0.08,0.0,0.08,0.08,0.08,0.1,0.1,0.01,0.01,12.9,1.0,0.0,33.3,0.08,0.33,1.0,0.05,0.9,0.9,1016.0,1085.0,93.6,17776.0,5067.0,437.0,464.0,94.2,450.0,464.0,97.0,102.0,116.0,87.9,17.0,84.0,7.0,0.0,79.0,1054.0,29.0,25.0,0.0,9.0,3.0,3.0,2.0,0.0,0.0,1.0,2.0,7.0,25.0,1.94,24.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,9.0,7.0,10.0,0.0,6.0,1.0,5.0,18.0,9.0,1.0,1175.0,42.0,306.0,685.0,195.0,7.0,1175.0,737.0,9.0,22.0,1.0,954.0,15.0,11.0,0.0,11.0,21.0,0.0,0.0,0.0,0.0,93.0,2.0,4.0,33.3
+Alex Meret,it ITA,GK,Napoli,23,1997,22.0,22.0,1980.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,541.0,605.0,89.4,12081.0,7214.0,163.0,164.0,99.4,249.0,254.0,98.0,126.0,181.0,69.6,1.0,1.0,0.0,0.0,0.0,482.0,121.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,0.14,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,640.0,576.0,639.0,1.0,0.0,0.0,640.0,393.0,0.0,0.0,0.0,346.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,35.0,5.0,1.0,83.3
+Yıldırım Mert Çetin,tr TUR,DF,Hellas Verona,23,1997,6.0,4.0,418.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,4.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,116.0,147.0,78.9,2484.0,679.0,33.0,46.0,71.7,64.0,72.0,88.9,19.0,26.0,73.1,0.0,5.0,0.0,0.0,9.0,134.0,12.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,1.0,0.27,0.0,0.0,0.0,0.0,1.0,0.27,0.0,0.0,0.0,0.0,0.0,8.0,4.0,3.0,5.0,0.0,7.0,5.0,2.0,14.0,11.0,1.0,192.0,21.0,87.0,90.0,19.0,2.0,192.0,86.0,3.0,2.0,1.0,89.0,1.0,2.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,26.0,13.0,10.0,56.5
+"Dries Mertens,be BEL,""FW,MF"",Napoli,33,1987,29.0,18.0,1459.0,9.0,8.0,0.0,0.0,2.0,0.0,0.56,0.49,1.05,0.56,1.05,5.0,5.0,0.31,0.31,16.2,19.0,6.0,35.2,1.17,0.17,0.47,0.09,4.0,4.0,352.0,488.0,72.1,5375.0,1601.0,187.0,215.0,87.0,121.0,158.0,76.6,21.0,58.0,36.2,36.0,29.0,18.0,4.0,67.0,428.0,58.0,8.0,3.0,2.0,64.0,26.0,2.0,21.0,0.0,0.0,2.0,17.0,62.0,3.83,50.0,4.0,3.0,1.0,10.0,0.62,8.0,0.0,0.0,1.0,1.0,16.0,14.0,4.0,7.0,5.0,7.0,1.0,6.0,9.0,3.0,1.0,615.0,7.0,37.0,223.0,360.0,93.0,615.0,346.0,28.0,13.0,12.0,440.0,16.0,5.0,0.0,15.0,9.0,5.0,0.0,0.0,0.0,40.0,2.0,11.0,15.4"
+"Junior Messias,br BRA,""MF,FW"",Crotone,29,1991,36.0,36.0,3215.0,9.0,4.0,0.0,0.0,6.0,0.0,0.25,0.11,0.36,0.25,0.36,7.6,7.6,0.21,0.21,35.7,31.0,9.0,31.6,0.87,0.09,0.29,0.08,1.4,1.4,871.0,1214.0,71.7,14046.0,3935.0,459.0,548.0,83.8,297.0,395.0,75.2,80.0,177.0,45.2,32.0,79.0,34.0,7.0,135.0,1100.0,105.0,40.0,1.0,9.0,123.0,44.0,29.0,4.0,0.0,15.0,9.0,21.0,112.0,3.14,49.0,10.0,17.0,11.0,16.0,0.45,5.0,2.0,4.0,1.0,3.0,60.0,35.0,26.0,24.0,10.0,32.0,12.0,20.0,35.0,40.0,0.0,1743.0,72.0,277.0,796.0,717.0,96.0,1743.0,1077.0,166.0,115.0,30.0,1218.0,110.0,58.0,0.0,34.0,93.0,5.0,1.0,0.0,0.0,166.0,34.0,65.0,34.3"
+Petar Mićin,rs SRB,MF,Udinese,21,1998,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,9.0,88.9,189.0,15.0,1.0,1.0,100.0,6.0,7.0,85.7,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,5.0,4.0,0.0,9.0,7.0,0.0,1.0,0.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Valentin Mihaila,ro ROU,""FW,MF"",Parma,20,2000,16.0,4.0,698.0,3.0,0.0,0.0,0.0,2.0,0.0,0.39,0.0,0.39,0.39,0.39,2.7,2.7,0.35,0.35,7.8,10.0,0.0,52.6,1.29,0.16,0.3,0.14,0.3,0.3,124.0,192.0,64.6,1814.0,378.0,74.0,97.0,76.3,34.0,49.0,69.4,10.0,22.0,45.5,7.0,7.0,3.0,2.0,9.0,185.0,7.0,0.0,1.0,3.0,14.0,2.0,1.0,1.0,0.0,5.0,0.0,10.0,19.0,2.45,14.0,0.0,1.0,1.0,2.0,0.26,1.0,0.0,0.0,1.0,0.0,2.0,1.0,1.0,1.0,0.0,8.0,1.0,7.0,5.0,8.0,0.0,288.0,9.0,40.0,104.0,148.0,31.0,288.0,179.0,30.0,19.0,14.0,202.0,20.0,6.0,0.0,5.0,8.0,5.0,1.0,0.0,0.0,20.0,3.0,15.0,16.7"
+Nikola Milenković,rs SRB,DF,Fiorentina,22,1997,34.0,34.0,3034.0,3.0,1.0,0.0,0.0,7.0,1.0,0.09,0.03,0.12,0.09,0.12,3.9,3.9,0.12,0.12,33.7,9.0,0.0,42.9,0.27,0.14,0.33,0.21,-0.9,-0.9,1435.0,1686.0,85.1,26739.0,9333.0,536.0,607.0,88.3,723.0,802.0,90.1,155.0,222.0,69.8,7.0,112.0,4.0,0.0,123.0,1527.0,156.0,63.0,0.0,21.0,6.0,0.0,0.0,0.0,0.0,93.0,3.0,17.0,23.0,0.68,18.0,1.0,3.0,0.0,4.0,0.12,2.0,0.0,2.0,0.0,0.0,49.0,29.0,33.0,14.0,2.0,42.0,33.0,9.0,44.0,122.0,1.0,2001.0,214.0,856.0,997.0,164.0,29.0,2001.0,973.0,25.0,23.0,1.0,1161.0,13.0,4.0,0.0,56.0,16.0,0.0,0.0,1.0,0.0,148.0,101.0,30.0,77.1
+Sergej Milinković-Savić,rs SRB,MF,Lazio,25,1995,32.0,32.0,2746.0,8.0,9.0,0.0,0.0,4.0,0.0,0.26,0.29,0.56,0.26,0.56,6.9,6.9,0.23,0.23,30.5,21.0,11.0,33.3,0.69,0.13,0.38,0.11,1.1,1.1,1401.0,1823.0,76.9,24735.0,7013.0,661.0,793.0,83.4,519.0,631.0,82.3,176.0,279.0,63.1,42.0,144.0,60.0,15.0,203.0,1767.0,44.0,19.0,4.0,25.0,57.0,1.0,0.0,0.0,0.0,24.0,12.0,30.0,94.0,3.08,77.0,1.0,6.0,4.0,17.0,0.56,15.0,0.0,0.0,1.0,1.0,59.0,40.0,20.0,30.0,9.0,52.0,12.0,40.0,33.0,47.0,0.0,2222.0,83.0,408.0,1189.0,654.0,78.0,2222.0,1253.0,59.0,51.0,11.0,1693.0,80.0,46.0,0.0,56.0,50.0,9.0,2.0,2.0,0.0,212.0,99.0,85.0,53.8
+Vanja Milinković-Savić,rs SRB,GK,Torino,23,1997,5.0,5.0,450.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,116.0,176.0,65.9,3057.0,2138.0,20.0,20.0,100.0,68.0,69.0,98.6,27.0,85.0,31.8,0.0,5.0,1.0,0.0,0.0,126.0,49.0,17.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,188.0,143.0,187.0,2.0,0.0,0.0,188.0,114.0,0.0,0.0,0.0,84.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,11.0,1.0,0.0,100.0
+"Vincenzo Millico,it ITA,""FW,MF"",Torino,19,2000,3.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,9.0,77.8,145.0,39.0,2.0,3.0,66.7,2.0,2.0,100.0,2.0,3.0,66.7,1.0,1.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.29,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,0.0,1.0,7.0,4.0,0.0,12.0,9.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0"
+"Aleksei Miranchuk,ru RUS,""MF,FW"",Atalanta,24,1995,25.0,4.0,675.0,4.0,2.0,0.0,0.0,0.0,0.0,0.53,0.27,0.8,0.53,0.8,1.2,1.2,0.16,0.16,7.5,6.0,1.0,40.0,0.8,0.27,0.67,0.08,2.8,2.8,316.0,408.0,77.5,4745.0,1061.0,169.0,198.0,85.4,111.0,135.0,82.2,23.0,39.0,59.0,14.0,26.0,21.0,3.0,47.0,385.0,20.0,4.0,2.0,1.0,15.0,9.0,4.0,4.0,0.0,5.0,3.0,9.0,34.0,4.53,25.0,3.0,2.0,3.0,5.0,0.67,4.0,0.0,1.0,0.0,0.0,24.0,13.0,8.0,9.0,7.0,1.0,0.0,1.0,3.0,1.0,0.0,493.0,0.0,40.0,188.0,271.0,31.0,493.0,330.0,26.0,20.0,10.0,384.0,18.0,13.0,0.0,17.0,20.0,2.0,0.0,0.0,0.0,44.0,8.0,12.0,40.0"
+Antonio Mirante,it ITA,GK,Roma,37,1983,13.0,13.0,1153.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,311.0,392.0,79.3,8090.0,5814.0,55.0,55.0,100.0,160.0,162.0,98.8,95.0,173.0,54.9,0.0,3.0,0.0,0.0,0.0,277.0,115.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.25,3.0,0.0,0.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,7.0,2.0,424.0,377.0,420.0,4.0,0.0,0.0,424.0,205.0,0.0,0.0,0.0,179.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,29.0,0.0,1.0,0.0
+"Henrikh Mkhitaryan,am ARM,""MF,FW"",Roma,31,1989,34.0,30.0,2745.0,13.0,10.0,1.0,1.0,2.0,0.0,0.43,0.33,0.75,0.39,0.72,10.9,10.1,0.37,0.34,30.5,33.0,1.0,40.7,1.08,0.15,0.36,0.13,2.1,1.9,893.0,1180.0,75.7,13683.0,3609.0,479.0,575.0,83.3,322.0,395.0,81.5,56.0,95.0,58.9,48.0,62.0,46.0,6.0,138.0,1146.0,27.0,7.0,13.0,7.0,53.0,4.0,2.0,1.0,0.0,16.0,7.0,49.0,117.0,3.97,93.0,1.0,8.0,5.0,17.0,0.58,14.0,0.0,1.0,1.0,0.0,58.0,24.0,13.0,27.0,18.0,34.0,0.0,34.0,39.0,10.0,0.0,1515.0,14.0,154.0,697.0,695.0,140.0,1514.0,811.0,103.0,79.0,41.0,1107.0,49.0,23.0,0.0,36.0,46.0,10.0,1.0,0.0,0.0,150.0,13.0,27.0,32.5"
+Johan Mojica,co COL,DF,Atalanta,27,1992,11.0,3.0,299.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,178.0,222.0,80.2,2773.0,822.0,93.0,108.0,86.1,73.0,86.0,84.9,10.0,17.0,58.8,4.0,13.0,5.0,3.0,13.0,201.0,21.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,21.0,0.0,7.0,6.0,1.8,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,3.0,1.0,0.0,3.0,0.0,3.0,7.0,6.0,0.0,262.0,11.0,64.0,101.0,97.0,6.0,262.0,169.0,14.0,8.0,3.0,176.0,8.0,6.0,0.0,4.0,1.0,0.0,0.0,1.0,0.0,32.0,5.0,4.0,55.6
+Nahuel Molina,ar ARG,DF,Udinese,22,1998,29.0,18.0,1828.0,2.0,5.0,0.0,0.0,1.0,0.0,0.1,0.25,0.34,0.1,0.34,1.4,1.4,0.07,0.07,20.3,6.0,0.0,37.5,0.3,0.13,0.33,0.09,0.6,0.6,769.0,1009.0,76.2,10986.0,3944.0,468.0,531.0,88.1,224.0,305.0,73.4,43.0,94.0,45.7,22.0,43.0,21.0,12.0,70.0,820.0,187.0,5.0,1.0,1.0,85.0,0.0,0.0,0.0,0.0,182.0,2.0,30.0,50.0,2.46,40.0,4.0,2.0,0.0,12.0,0.59,10.0,0.0,0.0,0.0,0.0,27.0,18.0,13.0,10.0,4.0,26.0,4.0,22.0,21.0,49.0,1.0,1201.0,67.0,323.0,459.0,428.0,36.0,1201.0,577.0,34.0,23.0,7.0,682.0,29.0,7.0,0.0,16.0,11.0,4.0,0.0,2.0,0.0,106.0,11.0,13.0,45.8
+"Salvatore Molina,it ITA,""MF,DF"",Crotone,28,1992,29.0,28.0,2315.0,1.0,4.0,0.0,0.0,1.0,0.0,0.04,0.16,0.19,0.04,0.19,0.7,0.7,0.03,0.03,25.7,5.0,0.0,33.3,0.19,0.07,0.2,0.05,0.3,0.3,842.0,1082.0,77.8,14821.0,4433.0,405.0,448.0,90.4,329.0,401.0,82.0,93.0,172.0,54.1,23.0,59.0,32.0,17.0,97.0,993.0,84.0,10.0,0.0,8.0,71.0,7.0,5.0,0.0,0.0,67.0,5.0,25.0,46.0,1.79,37.0,3.0,1.0,2.0,6.0,0.23,6.0,0.0,0.0,0.0,0.0,39.0,22.0,18.0,14.0,7.0,30.0,8.0,22.0,17.0,41.0,0.0,1326.0,84.0,402.0,605.0,334.0,21.0,1326.0,758.0,34.0,27.0,5.0,869.0,36.0,30.0,0.0,23.0,39.0,2.0,0.0,0.0,1.0,161.0,21.0,18.0,53.8"
+"Gabriele Moncini,it ITA,""FW,MF"",Benevento,24,1996,10.0,4.0,357.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.18,0.18,4.0,1.0,0.0,12.5,0.25,0.0,0.0,0.09,-0.7,-0.7,52.0,87.0,59.8,673.0,124.0,37.0,60.0,61.7,9.0,17.0,52.9,3.0,4.0,75.0,3.0,4.0,0.0,0.0,5.0,77.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,7.0,1.76,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,0.0,2.0,2.0,4.0,0.0,129.0,4.0,10.0,83.0,39.0,13.0,129.0,73.0,3.0,1.0,2.0,96.0,12.0,3.0,0.0,9.0,10.0,1.0,0.0,0.0,0.0,18.0,10.0,17.0,37.0"
+"Cristóbal Montiel,es ESP,""MF,FW"",Fiorentina,20,2000,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,55.0,2.0,0.0,1.0,0.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,0.0,3.0,4.0,0.0,0.0,0.0,3.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0"
+Lorenzo Montipò,it ITA,GK,Benevento,24,1996,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,803.0,1242.0,64.7,24351.0,17210.0,141.0,142.0,99.3,294.0,307.0,95.8,362.0,780.0,46.4,0.0,7.0,0.0,0.0,1.0,788.0,449.0,178.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,16.0,3.0,1338.0,1090.0,1334.0,4.0,0.0,0.0,1338.0,607.0,0.0,0.0,0.0,523.0,1.0,0.0,0.0,3.0,6.0,0.0,0.0,2.0,1.0,31.0,9.0,2.0,81.8
+Luca Mora,it ITA,MF,Spezia,32,1988,4.0,1.0,113.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.3,1.0,0.0,100.0,0.8,0.0,0.0,0.08,-0.1,-0.1,38.0,59.0,64.4,584.0,149.0,21.0,26.0,80.8,16.0,23.0,69.6,1.0,7.0,14.3,0.0,4.0,0.0,0.0,2.0,57.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.79,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,1.0,1.0,0.0,2.0,0.0,76.0,4.0,15.0,41.0,20.0,2.0,76.0,40.0,0.0,3.0,0.0,56.0,4.0,3.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,5.0,5.0,1.0,83.3
+Álvaro Morata,es ESP,FW,Juventus,27,1992,32.0,23.0,2014.0,11.0,9.0,1.0,1.0,3.0,1.0,0.49,0.4,0.89,0.45,0.85,10.7,9.9,0.48,0.44,22.4,23.0,0.0,41.8,1.03,0.18,0.43,0.18,0.3,0.1,445.0,601.0,74.0,6767.0,1186.0,242.0,302.0,80.1,136.0,168.0,81.0,37.0,54.0,68.5,40.0,26.0,23.0,2.0,56.0,556.0,38.0,2.0,3.0,6.0,18.0,0.0,0.0,0.0,0.0,1.0,7.0,15.0,72.0,3.22,55.0,0.0,8.0,5.0,15.0,0.67,12.0,0.0,2.0,1.0,0.0,17.0,12.0,2.0,10.0,5.0,22.0,2.0,20.0,5.0,21.0,0.0,851.0,27.0,60.0,376.0,423.0,130.0,850.0,424.0,55.0,35.0,21.0,656.0,74.0,41.0,0.0,37.0,44.0,19.0,1.0,0.0,0.0,55.0,33.0,34.0,49.3
+Raúl Moro,es ESP,FW,Lazio,17,2002,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,1.0,1.0,1.0,4.0,3.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Mert Müldür,tr TUR,DF,Sassuolo,21,1999,28.0,18.0,1672.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.04,0.04,18.6,1.0,0.0,6.7,0.05,0.0,0.0,0.05,-0.8,-0.8,813.0,1027.0,79.2,12826.0,3819.0,441.0,504.0,87.5,301.0,373.0,80.7,54.0,87.0,62.1,9.0,57.0,15.0,3.0,81.0,862.0,163.0,17.0,0.0,3.0,48.0,0.0,0.0,0.0,0.0,146.0,2.0,28.0,27.0,1.46,24.0,0.0,2.0,1.0,3.0,0.16,2.0,0.0,1.0,0.0,0.0,43.0,20.0,26.0,9.0,8.0,17.0,1.0,16.0,36.0,41.0,0.0,1241.0,64.0,377.0,512.0,365.0,41.0,1241.0,654.0,49.0,21.0,6.0,769.0,27.0,10.0,0.0,20.0,15.0,0.0,0.0,0.0,0.0,86.0,19.0,21.0,47.5
+Luis Muriel,co COL,FW,Atalanta,29,1991,36.0,16.0,1436.0,22.0,7.0,2.0,3.0,0.0,0.0,1.38,0.44,1.82,1.25,1.69,15.5,13.1,0.97,0.82,16.0,36.0,8.0,42.9,2.26,0.24,0.56,0.16,6.5,6.9,496.0,717.0,69.2,7546.0,2047.0,275.0,337.0,81.6,155.0,212.0,73.1,42.0,98.0,42.9,47.0,35.0,39.0,3.0,83.0,635.0,80.0,11.0,2.0,8.0,82.0,46.0,29.0,16.0,0.0,7.0,2.0,25.0,103.0,6.45,68.0,11.0,6.0,4.0,21.0,1.31,12.0,2.0,2.0,0.0,1.0,20.0,9.0,4.0,8.0,8.0,17.0,0.0,17.0,7.0,4.0,0.0,999.0,4.0,43.0,326.0,643.0,125.0,996.0,602.0,70.0,35.0,39.0,754.0,59.0,50.0,0.0,18.0,20.0,3.0,1.0,0.0,0.0,51.0,25.0,47.0,34.7
+Vedat Muriqi,xk KVX,FW,Lazio,26,1994,27.0,7.0,832.0,1.0,0.0,0.0,0.0,1.0,0.0,0.11,0.0,0.11,0.11,0.11,3.2,3.2,0.34,0.34,9.2,8.0,0.0,25.8,0.87,0.03,0.13,0.1,-2.2,-2.2,171.0,252.0,67.9,2359.0,375.0,111.0,148.0,75.0,39.0,56.0,69.6,12.0,16.0,75.0,10.0,11.0,8.0,0.0,20.0,250.0,1.0,1.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,24.0,2.6,19.0,0.0,5.0,0.0,2.0,0.22,1.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,2.0,1.0,9.0,2.0,7.0,3.0,20.0,0.0,384.0,20.0,41.0,158.0,188.0,63.0,384.0,204.0,9.0,2.0,4.0,304.0,32.0,17.0,0.0,14.0,19.0,15.0,0.0,0.0,0.0,30.0,54.0,43.0,55.7
+Nicola Murru,it ITA,DF,Torino,25,1994,14.0,7.0,569.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.07,0.07,6.3,1.0,0.0,20.0,0.16,0.0,0.0,0.09,-0.4,-0.4,231.0,352.0,65.6,3768.0,1402.0,121.0,146.0,82.9,79.0,121.0,65.3,22.0,56.0,39.3,3.0,21.0,3.0,2.0,26.0,272.0,76.0,8.0,0.0,1.0,21.0,0.0,0.0,0.0,0.0,68.0,4.0,13.0,14.0,2.21,7.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,1.0,5.0,3.0,11.0,1.0,10.0,12.0,24.0,0.0,436.0,23.0,118.0,194.0,126.0,10.0,436.0,214.0,15.0,11.0,4.0,234.0,6.0,5.0,0.0,12.0,12.0,0.0,0.0,0.0,0.0,35.0,10.0,9.0,52.6
+Mateo Musacchio,ar ARG,DF,Lazio,29,1990,4.0,2.0,229.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,104.0,116.0,89.7,1924.0,448.0,37.0,39.0,94.9,54.0,59.0,91.5,10.0,14.0,71.4,0.0,8.0,0.0,0.0,8.0,109.0,7.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,5.0,2.0,3.0,2.0,5.0,0.0,136.0,8.0,60.0,68.0,10.0,0.0,136.0,78.0,4.0,2.0,0.0,98.0,3.0,1.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,8.0,2.0,7.0,22.2
+Mateo Musacchio,ar ARG,DF,Milan,29,1990,1.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,20.0,95.0,305.0,157.0,9.0,9.0,100.0,6.0,6.0,100.0,2.0,3.0,66.7,0.0,2.0,0.0,0.0,1.0,19.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,1.0,0.0,1.0,3.0,0.0,0.0,28.0,2.0,15.0,13.0,0.0,0.0,28.0,18.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Juan Musso,ar ARG,GK,Udinese,26,1994,35.0,35.0,3147.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,769.0,1017.0,75.6,20946.0,14856.0,170.0,170.0,100.0,336.0,342.0,98.2,253.0,492.0,51.4,0.0,6.0,0.0,0.0,0.0,674.0,340.0,85.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,1.0,1093.0,958.0,1086.0,7.0,1.0,1.0,1093.0,600.0,0.0,1.0,1.0,400.0,0.0,0.0,0.0,4.0,4.0,0.0,0.0,4.0,0.0,43.0,8.0,0.0,100.0
+Joakim Mæhle,dk DEN,DF,Atalanta,23,1997,20.0,12.0,1216.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.15,0.15,0.0,0.15,1.6,1.6,0.12,0.12,13.5,6.0,0.0,28.6,0.44,0.0,0.0,0.07,-1.6,-1.6,583.0,738.0,79.0,8252.0,3497.0,359.0,415.0,86.5,185.0,239.0,77.4,20.0,40.0,50.0,14.0,37.0,18.0,8.0,63.0,613.0,125.0,9.0,0.0,3.0,36.0,0.0,0.0,0.0,0.0,116.0,0.0,18.0,37.0,2.74,28.0,1.0,4.0,1.0,5.0,0.37,4.0,1.0,0.0,0.0,0.0,18.0,10.0,7.0,5.0,6.0,17.0,2.0,15.0,11.0,5.0,0.0,880.0,14.0,179.0,344.0,367.0,42.0,880.0,473.0,35.0,22.0,7.0,556.0,28.0,11.0,0.0,10.0,11.0,0.0,0.0,1.0,0.0,74.0,7.0,12.0,36.8
+Radja Nainggolan,be BEL,MF,Cagliari,32,1988,22.0,22.0,1841.0,1.0,0.0,0.0,0.0,5.0,0.0,0.05,0.0,0.05,0.05,0.05,1.5,1.5,0.07,0.07,20.5,6.0,0.0,12.2,0.29,0.02,0.17,0.03,-0.5,-0.5,629.0,843.0,74.6,12814.0,3045.0,248.0,308.0,80.5,258.0,310.0,83.2,115.0,168.0,68.5,23.0,79.0,23.0,15.0,95.0,805.0,29.0,9.0,1.0,15.0,72.0,4.0,3.0,1.0,0.0,8.0,9.0,32.0,58.0,2.84,46.0,3.0,2.0,2.0,4.0,0.2,4.0,0.0,0.0,0.0,0.0,41.0,26.0,22.0,14.0,5.0,18.0,0.0,18.0,15.0,15.0,1.0,1088.0,28.0,184.0,542.0,389.0,27.0,1088.0,633.0,49.0,38.0,5.0,716.0,33.0,33.0,0.0,21.0,21.0,0.0,0.0,0.0,0.0,141.0,17.0,15.0,53.1
+Radja Nainggolan,be BEL,MF,Inter,32,1988,4.0,0.0,46.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.29,0.29,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,31.0,38.0,81.6,472.0,77.0,18.0,20.0,90.0,11.0,12.0,91.7,1.0,2.0,50.0,0.0,4.0,0.0,0.0,1.0,37.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,8.18,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,45.0,0.0,2.0,25.0,18.0,1.0,45.0,31.0,0.0,0.0,0.0,37.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+"Nahitan Nández,uy URU,""MF,DF"",Cagliari,24,1995,32.0,31.0,2737.0,2.0,2.0,0.0,0.0,8.0,1.0,0.07,0.07,0.13,0.07,0.13,3.3,3.3,0.11,0.11,30.4,14.0,0.0,43.8,0.46,0.06,0.14,0.1,-1.3,-1.3,892.0,1217.0,73.3,13962.0,4527.0,480.0,550.0,87.3,316.0,436.0,72.5,65.0,129.0,50.4,30.0,62.0,38.0,19.0,90.0,1076.0,136.0,7.0,0.0,4.0,95.0,0.0,0.0,0.0,0.0,128.0,5.0,36.0,75.0,2.47,53.0,2.0,5.0,4.0,10.0,0.33,7.0,0.0,1.0,0.0,0.0,56.0,28.0,23.0,23.0,10.0,26.0,4.0,22.0,23.0,49.0,0.0,1563.0,66.0,341.0,707.0,541.0,63.0,1563.0,856.0,80.0,44.0,22.0,990.0,52.0,30.0,0.0,40.0,59.0,8.0,0.0,0.0,0.0,181.0,42.0,59.0,41.6"
+"Ilija Nestorovski,mk MKD,""FW,MF"",Udinese,30,1990,22.0,4.0,701.0,2.0,2.0,0.0,0.0,1.0,0.0,0.26,0.26,0.51,0.26,0.51,4.7,4.7,0.6,0.6,7.8,9.0,0.0,36.0,1.16,0.08,0.22,0.19,-2.7,-2.7,131.0,184.0,71.2,1720.0,303.0,87.0,105.0,82.9,28.0,46.0,60.9,8.0,16.0,50.0,13.0,11.0,4.0,0.0,13.0,173.0,11.0,0.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,26.0,3.33,19.0,0.0,3.0,2.0,2.0,0.26,1.0,0.0,1.0,0.0,0.0,6.0,4.0,2.0,3.0,1.0,5.0,0.0,5.0,1.0,7.0,0.0,267.0,6.0,19.0,123.0,126.0,42.0,267.0,144.0,2.0,9.0,1.0,189.0,15.0,9.0,0.0,16.0,16.0,5.0,0.0,0.0,0.0,22.0,13.0,20.0,39.4"
+Nicolas Nkoulou,cm CMR,DF,Torino,30,1990,18.0,16.0,1358.0,1.0,0.0,0.0,0.0,5.0,0.0,0.07,0.0,0.07,0.07,0.07,0.5,0.5,0.03,0.03,15.1,1.0,0.0,33.3,0.07,0.33,1.0,0.16,0.5,0.5,619.0,721.0,85.9,12441.0,4303.0,200.0,215.0,93.0,337.0,363.0,92.8,81.0,130.0,62.3,2.0,25.0,1.0,0.0,25.0,690.0,30.0,30.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,8.0,0.53,7.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,14.0,9.0,11.0,3.0,0.0,28.0,14.0,14.0,33.0,71.0,1.0,886.0,173.0,532.0,357.0,6.0,4.0,886.0,475.0,2.0,0.0,0.0,536.0,5.0,0.0,0.0,15.0,25.0,0.0,0.0,3.0,0.0,104.0,26.0,38.0,40.6
+Bram Nuytinck,nl NED,DF,Udinese,30,1990,20.0,19.0,1641.0,1.0,0.0,0.0,0.0,1.0,0.0,0.05,0.0,0.05,0.05,0.05,0.4,0.4,0.02,0.02,18.2,2.0,0.0,50.0,0.11,0.25,0.5,0.09,0.6,0.6,697.0,835.0,83.5,13452.0,5102.0,235.0,260.0,90.4,380.0,419.0,90.7,74.0,131.0,56.5,3.0,38.0,1.0,1.0,54.0,796.0,33.0,31.0,0.0,7.0,3.0,0.0,0.0,0.0,0.0,2.0,6.0,7.0,7.0,0.38,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,15.0,10.0,9.0,2.0,30.0,17.0,13.0,25.0,77.0,0.0,1026.0,147.0,536.0,466.0,26.0,8.0,1026.0,576.0,14.0,5.0,1.0,649.0,7.0,1.0,0.0,8.0,5.0,0.0,0.0,0.0,0.0,65.0,35.0,15.0,70.0
+Simeon Nwankwo,ng NGA,FW,Crotone,28,1992,38.0,31.0,2943.0,20.0,2.0,8.0,8.0,1.0,0.0,0.61,0.06,0.67,0.37,0.43,19.1,12.8,0.59,0.39,32.7,24.0,0.0,43.6,0.73,0.22,0.5,0.23,0.9,-0.8,534.0,698.0,76.5,7483.0,1066.0,324.0,392.0,82.7,159.0,194.0,82.0,21.0,33.0,63.6,27.0,29.0,5.0,0.0,50.0,600.0,97.0,0.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,24.0,53.0,1.62,42.0,0.0,3.0,3.0,5.0,0.15,4.0,0.0,0.0,0.0,0.0,9.0,2.0,2.0,6.0,1.0,21.0,5.0,16.0,6.0,51.0,0.0,1078.0,64.0,104.0,597.0,381.0,121.0,1070.0,529.0,22.0,12.0,10.0,745.0,122.0,74.0,0.0,50.0,44.0,23.0,0.0,0.0,0.0,64.0,61.0,98.0,38.4
+M'Bala Nzola,ao ANG,FW,Spezia,23,1996,25.0,21.0,1896.0,11.0,3.0,4.0,4.0,5.0,0.0,0.52,0.14,0.66,0.33,0.47,9.3,6.2,0.44,0.29,21.1,14.0,0.0,34.1,0.66,0.17,0.5,0.15,1.7,0.8,388.0,464.0,83.6,5607.0,516.0,225.0,262.0,85.9,112.0,125.0,89.6,24.0,26.0,92.3,22.0,15.0,5.0,0.0,25.0,405.0,57.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,2.0,9.0,44.0,2.09,32.0,0.0,7.0,1.0,5.0,0.24,2.0,0.0,3.0,0.0,0.0,12.0,5.0,2.0,6.0,4.0,15.0,1.0,14.0,3.0,20.0,0.0,728.0,21.0,41.0,337.0,359.0,95.0,724.0,415.0,26.0,23.0,13.0,536.0,83.0,41.0,0.0,55.0,27.0,26.0,0.0,1.0,0.0,54.0,41.0,84.0,32.8
+Pedro Obiang,gq EQG,MF,Sassuolo,28,1992,33.0,16.0,1469.0,0.0,1.0,0.0,0.0,4.0,1.0,0.0,0.06,0.06,0.0,0.06,0.7,0.7,0.04,0.04,16.3,5.0,0.0,31.3,0.31,0.0,0.0,0.04,-0.7,-0.7,811.0,913.0,88.8,11999.0,3497.0,453.0,479.0,94.6,279.0,316.0,88.3,40.0,62.0,64.5,12.0,64.0,7.0,0.0,56.0,883.0,28.0,24.0,3.0,4.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,9.0,27.0,1.65,26.0,0.0,0.0,0.0,2.0,0.12,2.0,0.0,0.0,0.0,0.0,35.0,22.0,17.0,15.0,3.0,26.0,7.0,19.0,22.0,27.0,0.0,1071.0,56.0,249.0,649.0,182.0,9.0,1071.0,575.0,10.0,15.0,1.0,763.0,13.0,7.0,0.0,24.0,20.0,0.0,0.0,0.0,0.0,66.0,29.0,21.0,58.0
+"Brian Oddei,it ITA,""FW,MF"",Sassuolo,17,2002,5.0,0.0,45.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,0.0,4.0,0.1,0.1,0.19,0.19,0.5,1.0,0.0,50.0,2.0,0.0,0.0,0.05,-0.1,-0.1,15.0,23.0,65.2,271.0,85.0,7.0,9.0,77.8,5.0,5.0,100.0,3.0,5.0,60.0,2.0,0.0,3.0,3.0,1.0,23.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,12.0,3.0,0.0,0.0,1.0,4.0,8.0,3.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,39.0,1.0,6.0,12.0,21.0,6.0,39.0,20.0,3.0,1.0,2.0,27.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0"
+Stefano Okaka,it ITA,FW,Udinese,30,1989,22.0,17.0,1489.0,4.0,1.0,0.0,0.0,2.0,0.0,0.24,0.06,0.3,0.24,0.3,3.8,3.8,0.23,0.23,16.5,9.0,0.0,37.5,0.54,0.17,0.44,0.16,0.2,0.2,239.0,307.0,77.9,3008.0,422.0,147.0,184.0,79.9,66.0,78.0,84.6,3.0,5.0,60.0,9.0,8.0,6.0,0.0,22.0,267.0,38.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,8.0,22.0,1.33,12.0,0.0,5.0,2.0,3.0,0.18,2.0,0.0,1.0,0.0,0.0,10.0,7.0,2.0,5.0,3.0,7.0,1.0,6.0,2.0,19.0,0.0,481.0,24.0,52.0,246.0,190.0,62.0,481.0,268.0,15.0,10.0,5.0,346.0,51.0,23.0,0.0,38.0,35.0,13.0,0.0,0.0,0.0,36.0,44.0,49.0,47.3
+Christian Oliva,uy URU,MF,Cagliari,24,1996,10.0,3.0,388.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.23,0.23,0.0,0.23,0.0,0.0,0.0,0.0,4.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,153.0,189.0,81.0,2358.0,846.0,76.0,91.0,83.5,63.0,69.0,91.3,9.0,19.0,47.4,2.0,13.0,2.0,0.0,18.0,177.0,12.0,12.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,0.93,4.0,0.0,0.0,0.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,10.0,4.0,6.0,3.0,1.0,11.0,1.0,10.0,8.0,7.0,0.0,228.0,11.0,53.0,151.0,26.0,1.0,228.0,116.0,8.0,6.0,0.0,132.0,0.0,5.0,0.0,7.0,5.0,0.0,0.0,0.0,0.0,20.0,5.0,4.0,55.6
+Maximiliano Olivera,uy URU,DF,Fiorentina,28,1992,2.0,1.0,91.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,29.0,89.7,604.0,218.0,5.0,5.0,100.0,14.0,16.0,87.5,7.0,7.0,100.0,0.0,4.0,0.0,0.0,1.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,3.0,1.0,2.0,0.0,8.0,0.0,44.0,6.0,14.0,28.0,2.0,0.0,44.0,16.0,0.0,0.0,0.0,24.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,33.3
+Jérôme Onguéné,cm CMR,DF,Genoa,22,1997,4.0,1.0,181.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,83.0,101.0,82.2,1386.0,552.0,44.0,50.0,88.0,35.0,43.0,81.4,4.0,7.0,57.1,0.0,1.0,0.0,0.0,6.0,94.0,7.0,3.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,0.0,2.0,2.0,8.0,0.0,121.0,14.0,70.0,48.0,4.0,0.0,121.0,68.0,0.0,1.0,0.0,71.0,2.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,14.0,2.0,6.0,25.0
+"Riccardo Orsolini,it ITA,""FW,MF"",Bologna,23,1997,34.0,21.0,1755.0,7.0,3.0,3.0,3.0,0.0,0.0,0.36,0.15,0.51,0.21,0.36,9.3,7.1,0.48,0.36,19.5,19.0,11.0,35.8,0.97,0.08,0.21,0.13,-2.3,-3.1,458.0,724.0,63.3,7497.0,2458.0,247.0,313.0,78.9,139.0,218.0,63.8,49.0,115.0,42.6,30.0,34.0,19.0,5.0,45.0,639.0,83.0,18.0,3.0,7.0,100.0,58.0,45.0,5.0,0.0,7.0,2.0,33.0,74.0,3.8,32.0,18.0,7.0,8.0,8.0,0.41,4.0,1.0,2.0,1.0,0.0,37.0,18.0,13.0,12.0,12.0,22.0,3.0,19.0,10.0,22.0,0.0,981.0,32.0,168.0,377.0,443.0,73.0,978.0,540.0,49.0,28.0,17.0,658.0,49.0,17.0,0.0,21.0,44.0,7.0,0.0,1.0,0.0,83.0,25.0,25.0,50.0"
+Victor Osimhen,ng NGA,FW,Napoli,21,1998,24.0,16.0,1573.0,10.0,3.0,0.0,0.0,4.0,0.0,0.57,0.17,0.74,0.57,0.74,10.6,10.6,0.61,0.61,17.5,24.0,0.0,36.4,1.37,0.15,0.42,0.16,-0.6,-0.6,171.0,249.0,68.7,2223.0,267.0,105.0,135.0,77.8,43.0,71.0,60.6,8.0,16.0,50.0,25.0,5.0,4.0,1.0,9.0,237.0,12.0,0.0,0.0,1.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,54.0,3.09,37.0,0.0,4.0,5.0,5.0,0.29,3.0,0.0,1.0,1.0,0.0,22.0,15.0,2.0,6.0,14.0,6.0,0.0,6.0,7.0,10.0,0.0,452.0,11.0,20.0,167.0,276.0,106.0,452.0,248.0,41.0,30.0,27.0,334.0,45.0,17.0,0.0,34.0,36.0,20.0,1.0,0.0,0.0,37.0,45.0,63.0,41.7
+Yordan Osorio,ve VEN,DF,Parma,26,1994,23.0,21.0,1809.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.04,0.04,20.1,1.0,0.0,14.3,0.05,0.0,0.0,0.11,-0.7,-0.7,1017.0,1154.0,88.1,21429.0,6455.0,284.0,306.0,92.8,576.0,615.0,93.7,151.0,210.0,71.9,3.0,39.0,2.0,1.0,39.0,1086.0,63.0,39.0,0.0,13.0,2.0,0.0,0.0,0.0,0.0,14.0,5.0,4.0,10.0,0.5,9.0,0.0,0.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,22.0,14.0,13.0,9.0,0.0,30.0,18.0,12.0,53.0,77.0,1.0,1379.0,172.0,760.0,596.0,42.0,13.0,1379.0,832.0,11.0,12.0,0.0,876.0,21.0,12.0,0.0,16.0,17.0,1.0,0.0,1.0,0.0,140.0,45.0,25.0,64.3
+David Ospina,co COL,GK,Napoli,31,1988,16.0,16.0,1440.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,453.0,545.0,83.1,11051.0,7738.0,127.0,128.0,99.2,188.0,192.0,97.9,137.0,223.0,61.4,2.0,6.0,0.0,0.0,0.0,452.0,93.0,36.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.31,4.0,1.0,0.0,0.0,1.0,0.06,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,567.0,478.0,564.0,3.0,0.0,0.0,567.0,360.0,0.0,0.0,0.0,326.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,1.0,0.0,26.0,7.0,1.0,87.5
+"Adam Ounas,dz ALG,""FW,MF"",Crotone,23,1996,15.0,15.0,1199.0,4.0,4.0,0.0,0.0,1.0,0.0,0.3,0.3,0.6,0.3,0.6,2.3,2.3,0.17,0.17,13.3,10.0,0.0,40.0,0.75,0.16,0.4,0.09,1.7,1.7,384.0,497.0,77.3,7151.0,1787.0,176.0,202.0,87.1,157.0,192.0,81.8,49.0,79.0,62.0,21.0,41.0,28.0,4.0,69.0,460.0,35.0,10.0,4.0,7.0,41.0,20.0,9.0,6.0,0.0,1.0,2.0,14.0,46.0,3.46,29.0,4.0,1.0,4.0,6.0,0.45,3.0,1.0,0.0,0.0,0.0,9.0,4.0,4.0,4.0,1.0,12.0,1.0,11.0,3.0,4.0,0.0,649.0,4.0,70.0,341.0,261.0,45.0,649.0,407.0,56.0,39.0,22.0,487.0,37.0,23.0,0.0,11.0,31.0,9.0,0.0,0.0,0.0,62.0,9.0,14.0,39.1"
+"Adam Ounas,dz ALG,""MF,FW"",Cagliari,23,1996,7.0,3.0,308.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.25,0.25,3.4,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.9,-0.9,83.0,122.0,68.0,1406.0,391.0,43.0,56.0,76.8,25.0,38.0,65.8,10.0,15.0,66.7,7.0,8.0,8.0,2.0,15.0,117.0,4.0,2.0,0.0,2.0,10.0,2.0,0.0,0.0,0.0,0.0,1.0,5.0,15.0,4.4,13.0,1.0,0.0,0.0,3.0,0.88,3.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,5.0,0.0,5.0,3.0,0.0,0.0,174.0,0.0,27.0,72.0,83.0,11.0,174.0,110.0,10.0,8.0,4.0,128.0,11.0,10.0,0.0,3.0,9.0,1.0,0.0,0.0,0.0,17.0,3.0,4.0,42.9"
+Thomas Ouwejan,nl NED,DF,Udinese,23,1996,15.0,3.0,413.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.44,0.44,0.0,0.44,0.2,0.2,0.04,0.04,4.6,2.0,0.0,33.3,0.44,0.0,0.0,0.03,-0.2,-0.2,151.0,246.0,61.4,2493.0,861.0,74.0,88.0,84.1,60.0,88.0,68.2,12.0,44.0,27.3,10.0,17.0,3.0,2.0,15.0,196.0,47.0,9.0,0.0,1.0,49.0,11.0,2.0,9.0,0.0,27.0,3.0,8.0,17.0,3.7,10.0,4.0,1.0,1.0,2.0,0.44,0.0,2.0,0.0,0.0,0.0,4.0,1.0,0.0,3.0,1.0,4.0,0.0,4.0,5.0,6.0,0.0,286.0,8.0,51.0,112.0,125.0,11.0,286.0,157.0,13.0,11.0,3.0,178.0,8.0,2.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,7.0,22.2
+Daniele Padelli,it ITA,GK,Inter,34,1985,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,13.0,100.0,219.0,109.0,6.0,6.0,100.0,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,9.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,15.0,15.0,0.0,0.0,0.0,15.0,6.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Mattia Pagliuca,it ITA,MF,Bologna,18,2002,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,33.3,12.0,0.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,6.92,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,5.0,0.0,1.0,1.0,3.0,1.0,5.0,5.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Rodrigo Palacio,ar ARG,FW,Bologna,38,1982,36.0,28.0,2502.0,5.0,5.0,0.0,0.0,5.0,0.0,0.18,0.18,0.36,0.18,0.36,9.3,9.3,0.34,0.34,27.8,23.0,0.0,42.6,0.83,0.09,0.22,0.17,-4.3,-4.3,721.0,972.0,74.2,10312.0,2127.0,434.0,494.0,87.9,204.0,286.0,71.3,40.0,67.0,59.7,39.0,45.0,30.0,6.0,81.0,893.0,74.0,4.0,3.0,6.0,72.0,1.0,0.0,0.0,0.0,8.0,5.0,45.0,98.0,3.53,74.0,2.0,9.0,6.0,14.0,0.5,11.0,0.0,2.0,1.0,0.0,13.0,6.0,2.0,3.0,8.0,18.0,0.0,18.0,7.0,29.0,0.0,1269.0,32.0,80.0,518.0,682.0,154.0,1269.0,818.0,95.0,53.0,46.0,1031.0,85.0,46.0,0.0,39.0,72.0,35.0,1.0,0.0,0.0,85.0,33.0,66.0,33.3
+Alberto Paleari,it ITA,GK,Genoa,27,1992,3.0,2.0,206.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,78.0,67.9,1225.0,868.0,17.0,17.0,100.0,22.0,22.0,100.0,12.0,37.0,32.4,0.0,2.0,0.0,0.0,0.0,53.0,25.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,84.0,71.0,82.0,2.0,0.0,0.0,84.0,48.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Antonio Palumbo,it ITA,MF,Sampdoria,23,1996,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.46,0.46,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,1.0,1.0,100.0,12.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Martin Palumbo,no NOR,MF,Udinese,18,2002,3.0,1.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,12.0,41.7,90.0,19.0,1.0,3.0,33.3,4.0,6.0,66.7,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,5.0,1.0,0.0,0.0,24.0,0.0,2.0,13.0,9.0,0.0,24.0,11.0,0.0,0.0,0.0,11.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Goran Pandev,mk MKD,""FW,MF"",Genoa,37,1983,29.0,15.0,1404.0,7.0,3.0,1.0,1.0,5.0,0.0,0.45,0.19,0.64,0.38,0.58,4.2,3.4,0.27,0.22,15.6,10.0,0.0,52.6,0.64,0.32,0.6,0.18,2.8,2.6,337.0,446.0,75.6,4495.0,1077.0,217.0,258.0,84.1,74.0,103.0,71.8,20.0,33.0,60.6,14.0,24.0,11.0,0.0,44.0,424.0,21.0,0.0,0.0,1.0,10.0,1.0,1.0,0.0,0.0,2.0,1.0,19.0,34.0,2.18,29.0,1.0,1.0,2.0,8.0,0.51,7.0,0.0,0.0,0.0,0.0,9.0,5.0,1.0,6.0,2.0,6.0,0.0,6.0,2.0,7.0,1.0,598.0,8.0,54.0,303.0,251.0,54.0,597.0,388.0,23.0,16.0,6.0,458.0,52.0,24.0,0.0,12.0,36.0,7.0,0.0,0.0,0.0,78.0,16.0,27.0,37.2"
+Ivor Pandur,hr CRO,GK,Hellas Verona,20,2000,4.0,4.0,332.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,102.0,55.9,1668.0,1334.0,12.0,13.0,92.3,23.0,23.0,100.0,20.0,63.0,31.7,0.0,1.0,0.0,0.0,0.0,71.0,30.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,109.0,88.0,108.0,1.0,0.0,0.0,109.0,58.0,0.0,0.0,0.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,0.0,100.0
+"Vittorio Parigini,it ITA,""MF,DF"",Genoa,24,1996,4.0,0.0,56.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.6,1.0,0.0,100.0,1.61,0.0,0.0,0.02,0.0,0.0,14.0,27.0,51.9,237.0,33.0,6.0,7.0,85.7,8.0,14.0,57.1,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,21.0,6.0,0.0,0.0,0.0,9.0,2.0,1.0,1.0,0.0,4.0,0.0,3.0,1.0,1.61,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,1.0,4.0,9.0,22.0,0.0,35.0,18.0,5.0,1.0,0.0,20.0,1.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,2.0,2.0,2.0,50.0"
+"Marco Parolo,it ITA,""DF,MF"",Lazio,35,1985,18.0,7.0,653.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.28,0.28,0.0,0.28,0.5,0.5,0.07,0.07,7.3,1.0,0.0,16.7,0.14,0.0,0.0,0.09,-0.5,-0.5,299.0,363.0,82.4,5721.0,2011.0,123.0,145.0,84.8,135.0,151.0,89.4,36.0,54.0,66.7,4.0,17.0,5.0,2.0,31.0,347.0,14.0,8.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,6.0,2.0,5.0,11.0,1.52,11.0,0.0,0.0,0.0,2.0,0.28,2.0,0.0,0.0,0.0,0.0,21.0,8.0,8.0,11.0,2.0,20.0,6.0,14.0,14.0,31.0,0.0,470.0,48.0,190.0,227.0,56.0,8.0,470.0,240.0,8.0,8.0,0.0,271.0,5.0,1.0,0.0,21.0,1.0,1.0,0.0,1.0,0.0,46.0,21.0,17.0,55.3"
+Mario Pašalić,hr CRO,MF,Atalanta,25,1995,25.0,10.0,1122.0,6.0,2.0,0.0,0.0,2.0,0.0,0.48,0.16,0.64,0.48,0.64,4.3,4.3,0.35,0.35,12.5,12.0,0.0,60.0,0.96,0.3,0.5,0.22,1.7,1.7,576.0,674.0,85.5,9756.0,2378.0,283.0,319.0,88.7,227.0,257.0,88.3,49.0,62.0,79.0,17.0,66.0,26.0,1.0,86.0,659.0,14.0,10.0,1.0,10.0,6.0,0.0,0.0,0.0,0.0,4.0,1.0,7.0,50.0,4.01,40.0,0.0,3.0,1.0,6.0,0.48,5.0,0.0,1.0,0.0,0.0,26.0,15.0,5.0,17.0,4.0,12.0,1.0,11.0,8.0,6.0,0.0,794.0,10.0,89.0,445.0,273.0,44.0,794.0,511.0,32.0,21.0,12.0,608.0,25.0,18.0,0.0,19.0,10.0,1.0,0.0,0.0,0.0,85.0,16.0,16.0,50.0
+Christian Pastina,it ITA,DF,Benevento,19,2001,3.0,0.0,121.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.74,0.74,0.0,0.74,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,56.0,67.0,83.6,1105.0,287.0,25.0,27.0,92.6,20.0,24.0,83.3,10.0,14.0,71.4,1.0,3.0,1.0,1.0,4.0,62.0,5.0,3.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,1.49,2.0,0.0,0.0,0.0,1.0,0.74,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,8.0,0.0,80.0,10.0,25.0,50.0,5.0,0.0,80.0,36.0,3.0,0.0,0.0,56.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+"Javier Pastore,ar ARG,""MF,FW"",Roma,31,1989,5.0,0.0,82.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,53.0,60.0,88.3,1052.0,442.0,16.0,20.0,80.0,29.0,30.0,96.7,7.0,8.0,87.5,4.0,11.0,6.0,0.0,21.0,60.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.59,6.0,0.0,0.0,0.0,2.0,2.2,2.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,69.0,0.0,6.0,44.0,19.0,0.0,69.0,40.0,1.0,1.0,0.0,53.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0"
+Patric,es ESP,DF,Lazio,27,1993,25.0,18.0,1595.0,0.0,1.0,0.0,0.0,8.0,0.0,0.0,0.06,0.06,0.0,0.06,0.5,0.5,0.03,0.03,17.7,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,1054.0,1229.0,85.8,21163.0,5935.0,350.0,383.0,91.4,545.0,598.0,91.1,152.0,226.0,67.3,11.0,102.0,17.0,6.0,77.0,1167.0,60.0,32.0,1.0,8.0,30.0,0.0,0.0,0.0,0.0,26.0,2.0,9.0,32.0,1.8,30.0,0.0,1.0,0.0,4.0,0.23,4.0,0.0,0.0,0.0,0.0,30.0,16.0,15.0,11.0,4.0,13.0,3.0,10.0,18.0,51.0,1.0,1373.0,104.0,498.0,728.0,154.0,8.0,1373.0,872.0,15.0,11.0,1.0,977.0,12.0,4.0,0.0,21.0,5.0,1.0,0.0,1.0,0.0,90.0,14.0,15.0,48.3
+Leonardo Pavoletti,it ITA,FW,Cagliari,31,1988,33.0,17.0,1584.0,4.0,3.0,0.0,0.0,8.0,0.0,0.23,0.17,0.4,0.23,0.4,7.2,7.2,0.41,0.41,17.6,11.0,0.0,25.0,0.62,0.09,0.36,0.17,-3.2,-3.2,282.0,409.0,68.9,3571.0,476.0,177.0,246.0,72.0,63.0,84.0,75.0,13.0,21.0,61.9,12.0,19.0,6.0,0.0,21.0,394.0,14.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,11.0,30.0,1.7,17.0,0.0,9.0,4.0,4.0,0.23,1.0,0.0,2.0,1.0,0.0,7.0,3.0,2.0,5.0,0.0,4.0,2.0,2.0,4.0,32.0,0.0,587.0,34.0,79.0,299.0,213.0,78.0,587.0,244.0,4.0,4.0,3.0,437.0,41.0,14.0,0.0,44.0,29.0,9.0,1.0,0.0,0.0,38.0,113.0,67.0,62.8
+Nehuén Paz,ar ARG,DF,Bologna,27,1993,6.0,3.0,363.0,1.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.25,0.25,0.25,0.4,0.4,0.09,0.09,4.0,1.0,0.0,50.0,0.25,0.5,1.0,0.18,0.6,0.6,196.0,236.0,83.1,3733.0,1341.0,72.0,84.0,85.7,103.0,117.0,88.0,19.0,27.0,70.4,1.0,10.0,0.0,0.0,17.0,230.0,6.0,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,5.0,1.24,5.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,9.0,4.0,4.0,5.0,0.0,4.0,2.0,2.0,11.0,16.0,0.0,283.0,26.0,138.0,133.0,13.0,2.0,283.0,130.0,0.0,2.0,0.0,164.0,2.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,21.0,21.0,3.0,87.5
+"Pedro,es ESP,""MF,FW"",Roma,33,1987,27.0,20.0,1591.0,5.0,2.0,0.0,0.0,5.0,1.0,0.28,0.11,0.4,0.28,0.4,4.2,4.2,0.25,0.25,17.7,15.0,0.0,34.9,0.85,0.12,0.33,0.11,0.8,0.8,479.0,616.0,77.8,7784.0,1905.0,244.0,295.0,82.7,178.0,210.0,84.8,39.0,64.0,60.9,29.0,43.0,22.0,2.0,65.0,594.0,18.0,10.0,11.0,5.0,35.0,6.0,3.0,3.0,0.0,1.0,4.0,13.0,71.0,4.25,50.0,5.0,5.0,4.0,9.0,0.54,4.0,1.0,0.0,2.0,0.0,22.0,14.0,6.0,11.0,5.0,10.0,0.0,10.0,9.0,2.0,1.0,774.0,8.0,73.0,382.0,331.0,45.0,774.0,508.0,50.0,45.0,7.0,622.0,45.0,11.0,1.0,25.0,34.0,7.0,2.0,0.0,0.0,67.0,3.0,12.0,20.0"
+"João Pedro,it ITA,""FW,MF"",Cagliari,28,1992,37.0,37.0,3253.0,16.0,3.0,4.0,5.0,4.0,0.0,0.44,0.08,0.53,0.33,0.42,12.5,8.7,0.35,0.24,36.1,29.0,3.0,40.8,0.8,0.17,0.41,0.12,3.5,3.3,683.0,945.0,72.3,11025.0,2566.0,364.0,445.0,81.8,207.0,275.0,75.3,76.0,111.0,68.5,38.0,48.0,29.0,2.0,94.0,916.0,24.0,8.0,1.0,11.0,25.0,1.0,0.0,0.0,0.0,1.0,5.0,37.0,94.0,2.6,68.0,0.0,8.0,13.0,9.0,0.25,5.0,0.0,1.0,3.0,0.0,13.0,6.0,2.0,6.0,5.0,32.0,6.0,26.0,13.0,28.0,0.0,1320.0,43.0,142.0,601.0,587.0,143.0,1315.0,738.0,45.0,36.0,9.0,1004.0,74.0,32.0,0.0,46.0,98.0,11.0,3.0,0.0,0.0,97.0,65.0,87.0,42.8"
+Gianluca Pegolo,it ITA,GK,Sassuolo,39,1981,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,22.0,95.5,334.0,227.0,10.0,10.0,100.0,10.0,10.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,25.0,24.0,25.0,0.0,0.0,0.0,25.0,10.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Graziano Pellè,it ITA,FW,Parma,35,1985,13.0,6.0,614.0,1.0,2.0,0.0,0.0,1.0,0.0,0.15,0.29,0.44,0.15,0.44,1.6,1.6,0.23,0.23,6.8,5.0,0.0,35.7,0.73,0.07,0.2,0.11,-0.6,-0.6,150.0,196.0,76.5,1922.0,308.0,95.0,114.0,83.3,29.0,40.0,72.5,10.0,12.0,83.3,12.0,6.0,4.0,0.0,9.0,179.0,17.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,18.0,2.64,13.0,0.0,3.0,2.0,3.0,0.44,2.0,0.0,0.0,1.0,0.0,2.0,2.0,0.0,1.0,1.0,3.0,0.0,3.0,2.0,8.0,0.0,259.0,8.0,26.0,123.0,111.0,37.0,259.0,123.0,3.0,4.0,2.0,212.0,15.0,9.0,0.0,19.0,13.0,4.0,1.0,0.0,0.0,13.0,45.0,26.0,63.4
+Lorenzo Pellegrini,it ITA,MF,Roma,24,1996,34.0,30.0,2598.0,7.0,6.0,1.0,1.0,10.0,0.0,0.24,0.21,0.45,0.21,0.42,5.6,4.8,0.2,0.17,28.9,26.0,10.0,37.7,0.9,0.09,0.23,0.07,1.4,1.2,1089.0,1429.0,76.2,19495.0,5567.0,520.0,595.0,87.4,403.0,492.0,81.9,144.0,265.0,54.3,61.0,121.0,41.0,8.0,147.0,1203.0,219.0,58.0,10.0,6.0,171.0,132.0,52.0,62.0,0.0,7.0,7.0,30.0,127.0,4.54,65.0,37.0,15.0,3.0,13.0,0.46,6.0,5.0,2.0,0.0,0.0,40.0,24.0,13.0,20.0,7.0,37.0,2.0,35.0,42.0,23.0,1.0,1772.0,33.0,211.0,930.0,654.0,61.0,1771.0,963.0,87.0,62.0,12.0,1177.0,65.0,21.0,0.0,43.0,51.0,6.0,0.0,1.0,0.0,139.0,21.0,27.0,43.8
+"Luca Pellegrini,it ITA,""DF,MF"",Genoa,21,1999,11.0,7.0,639.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.1,0.1,0.02,0.02,7.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,218.0,313.0,69.6,3437.0,1207.0,112.0,126.0,88.9,83.0,114.0,72.8,13.0,44.0,29.5,8.0,5.0,7.0,4.0,13.0,258.0,53.0,5.0,1.0,6.0,29.0,0.0,0.0,0.0,0.0,48.0,2.0,9.0,12.0,1.73,9.0,0.0,0.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,9.0,6.0,6.0,2.0,1.0,11.0,2.0,9.0,8.0,13.0,1.0,411.0,19.0,126.0,167.0,122.0,11.0,411.0,250.0,23.0,16.0,6.0,267.0,22.0,16.0,0.0,10.0,16.0,0.0,0.0,0.0,1.0,50.0,4.0,13.0,23.5"
+Federico Peluso,it ITA,DF,Sassuolo,36,1984,7.0,2.0,207.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,151.0,166.0,91.0,2479.0,931.0,65.0,68.0,95.6,72.0,78.0,92.3,10.0,13.0,76.9,0.0,7.0,1.0,0.0,7.0,149.0,14.0,10.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,2.0,0.0,3.0,12.0,0.0,182.0,23.0,94.0,84.0,4.0,0.0,182.0,117.0,2.0,4.0,0.0,136.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,10.0,2.0,2.0,50.0
+"Andreas Pereira,br BRA,""FW,MF"",Lazio,24,1996,26.0,3.0,543.0,1.0,2.0,0.0,0.0,7.0,1.0,0.17,0.33,0.5,0.17,0.5,0.7,0.6,0.11,0.1,6.0,5.0,0.0,35.7,0.83,0.07,0.2,0.04,0.3,0.4,187.0,286.0,65.4,3434.0,1071.0,83.0,100.0,83.0,72.0,102.0,70.6,26.0,54.0,48.1,13.0,33.0,6.0,0.0,32.0,243.0,40.0,13.0,1.0,7.0,49.0,21.0,9.0,11.0,0.0,3.0,3.0,13.0,18.0,2.97,10.0,8.0,0.0,0.0,2.0,0.33,2.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,3.0,1.0,6.0,0.0,6.0,1.0,4.0,0.0,358.0,3.0,41.0,164.0,160.0,16.0,358.0,206.0,17.0,9.0,5.0,239.0,12.0,11.0,1.0,12.0,8.0,3.0,0.0,1.0,0.0,31.0,2.0,22.0,8.3"
+Pedro Pereira,pt POR,DF,Crotone,22,1998,35.0,29.0,2549.0,0.0,4.0,0.0,0.0,6.0,0.0,0.0,0.14,0.14,0.0,0.14,0.7,0.7,0.02,0.02,28.3,5.0,2.0,35.7,0.18,0.0,0.0,0.05,-0.7,-0.7,673.0,910.0,74.0,10701.0,3382.0,349.0,407.0,85.7,248.0,329.0,75.4,53.0,94.0,56.4,21.0,27.0,23.0,12.0,44.0,743.0,164.0,1.0,1.0,4.0,71.0,0.0,0.0,0.0,0.0,163.0,3.0,41.0,36.0,1.27,31.0,1.0,0.0,2.0,6.0,0.21,6.0,0.0,0.0,0.0,0.0,50.0,32.0,29.0,17.0,4.0,33.0,11.0,22.0,19.0,61.0,0.0,1200.0,90.0,311.0,494.0,408.0,36.0,1200.0,554.0,32.0,21.0,6.0,643.0,38.0,32.0,0.0,33.0,18.0,5.0,0.0,1.0,0.0,127.0,27.0,40.0,40.3
+"Gastón Pereiro,uy URU,""MF,DF"",Cagliari,25,1995,15.0,2.0,272.0,2.0,2.0,0.0,0.0,0.0,0.0,0.66,0.66,1.32,0.66,1.32,2.3,2.3,0.76,0.76,3.0,5.0,0.0,35.7,1.65,0.14,0.4,0.16,-0.3,-0.3,102.0,137.0,74.5,1713.0,438.0,47.0,56.0,83.9,38.0,52.0,73.1,11.0,18.0,61.1,8.0,11.0,8.0,1.0,25.0,128.0,9.0,2.0,0.0,1.0,10.0,3.0,3.0,0.0,0.0,4.0,0.0,2.0,18.0,5.96,12.0,1.0,3.0,0.0,3.0,0.99,2.0,0.0,1.0,0.0,0.0,3.0,1.0,2.0,1.0,0.0,2.0,0.0,2.0,1.0,2.0,1.0,176.0,2.0,19.0,70.0,91.0,17.0,176.0,89.0,14.0,11.0,3.0,123.0,5.0,6.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,13.0,10.0,6.0,62.5"
+Bruno Peres,br BRA,DF,Roma,30,1990,30.0,14.0,1427.0,1.0,2.0,0.0,0.0,6.0,0.0,0.06,0.13,0.19,0.06,0.19,0.9,0.9,0.06,0.06,15.9,6.0,0.0,50.0,0.38,0.08,0.17,0.08,0.1,0.1,629.0,767.0,82.0,10544.0,2606.0,321.0,354.0,90.7,231.0,276.0,83.7,63.0,98.0,64.3,28.0,27.0,16.0,8.0,36.0,647.0,116.0,10.0,0.0,7.0,68.0,9.0,1.0,8.0,0.0,97.0,4.0,13.0,42.0,2.65,35.0,3.0,2.0,1.0,4.0,0.25,4.0,0.0,0.0,0.0,0.0,21.0,11.0,11.0,7.0,3.0,18.0,4.0,14.0,27.0,11.0,0.0,910.0,32.0,224.0,364.0,329.0,34.0,910.0,532.0,54.0,34.0,12.0,562.0,24.0,12.0,0.0,23.0,16.0,1.0,0.0,0.0,0.0,102.0,7.0,12.0,36.8
+"Roberto Pereyra,ar ARG,""MF,FW"",Udinese,29,1991,34.0,34.0,2925.0,5.0,7.0,1.0,1.0,8.0,0.0,0.15,0.22,0.37,0.12,0.34,4.0,3.2,0.12,0.1,32.5,6.0,0.0,22.2,0.18,0.15,0.67,0.12,1.0,0.8,1070.0,1262.0,84.8,15452.0,3828.0,616.0,673.0,91.5,334.0,381.0,87.7,62.0,88.0,70.5,45.0,94.0,36.0,3.0,134.0,1197.0,58.0,17.0,0.0,6.0,37.0,18.0,5.0,3.0,0.0,16.0,7.0,28.0,86.0,2.65,72.0,3.0,2.0,6.0,10.0,0.31,8.0,0.0,0.0,2.0,0.0,18.0,11.0,7.0,8.0,3.0,24.0,5.0,19.0,27.0,24.0,0.0,1591.0,44.0,220.0,729.0,666.0,105.0,1590.0,1058.0,106.0,71.0,27.0,1171.0,80.0,50.0,0.0,38.0,59.0,7.0,1.0,0.0,0.0,156.0,5.0,10.0,33.3"
+"Carles Pérez,es ESP,""MF,FW"",Roma,22,1998,21.0,6.0,773.0,2.0,1.0,0.0,0.0,0.0,0.0,0.23,0.12,0.35,0.23,0.35,2.7,2.7,0.31,0.31,8.6,8.0,0.0,34.8,0.93,0.09,0.25,0.13,-0.7,-0.7,236.0,306.0,77.1,3598.0,570.0,144.0,163.0,88.3,71.0,92.0,77.2,16.0,29.0,55.2,15.0,10.0,3.0,0.0,16.0,281.0,20.0,3.0,2.0,2.0,25.0,15.0,3.0,12.0,0.0,0.0,5.0,9.0,33.0,3.84,13.0,7.0,4.0,3.0,5.0,0.58,0.0,1.0,1.0,1.0,0.0,9.0,4.0,3.0,6.0,0.0,9.0,0.0,9.0,6.0,1.0,0.0,422.0,5.0,35.0,182.0,214.0,34.0,422.0,239.0,32.0,26.0,12.0,307.0,26.0,14.0,0.0,12.0,7.0,0.0,1.0,0.0,0.0,31.0,3.0,11.0,21.4"
+Mattia Perin,it ITA,GK,Genoa,27,1992,32.0,32.0,2879.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,752.0,1161.0,64.8,21463.0,15399.0,159.0,160.0,99.4,288.0,293.0,98.3,295.0,693.0,42.6,1.0,20.0,0.0,0.0,1.0,763.0,394.0,119.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,0.09,3.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.0,1223.0,1061.0,1214.0,10.0,0.0,0.0,1223.0,675.0,0.0,0.0,0.0,490.0,1.0,1.0,0.0,2.0,4.0,0.0,0.0,1.0,0.0,38.0,9.0,1.0,90.0
+"Ivan Perišić,hr CRO,""DF,FW"",Inter,31,1989,32.0,20.0,1795.0,4.0,3.0,0.0,0.0,3.0,0.0,0.2,0.15,0.35,0.2,0.35,5.2,5.2,0.26,0.26,19.9,10.0,0.0,28.6,0.5,0.11,0.4,0.15,-1.2,-1.2,576.0,815.0,70.7,9597.0,2680.0,299.0,349.0,85.7,209.0,300.0,69.7,55.0,105.0,52.4,28.0,22.0,29.0,16.0,51.0,688.0,127.0,4.0,2.0,7.0,90.0,6.0,3.0,0.0,0.0,116.0,0.0,27.0,52.0,2.6,43.0,1.0,3.0,1.0,10.0,0.5,6.0,1.0,2.0,0.0,1.0,22.0,13.0,11.0,6.0,5.0,33.0,4.0,29.0,19.0,36.0,1.0,1013.0,55.0,221.0,366.0,440.0,91.0,1013.0,457.0,69.0,24.0,21.0,586.0,21.0,6.0,0.0,13.0,2.0,8.0,0.0,1.0,0.0,85.0,32.0,24.0,57.1"
+Matteo Pessina,it ITA,MF,Atalanta,23,1997,28.0,21.0,1645.0,2.0,2.0,0.0,0.0,2.0,0.0,0.11,0.11,0.22,0.11,0.22,2.4,2.4,0.13,0.13,18.3,10.0,0.0,45.5,0.55,0.09,0.2,0.11,-0.4,-0.4,788.0,951.0,82.9,12328.0,3396.0,405.0,460.0,88.0,320.0,366.0,87.4,40.0,61.0,65.6,27.0,83.0,26.0,1.0,118.0,932.0,16.0,6.0,1.0,8.0,17.0,0.0,0.0,0.0,0.0,4.0,3.0,24.0,53.0,2.9,49.0,0.0,3.0,0.0,9.0,0.49,8.0,0.0,1.0,0.0,0.0,14.0,7.0,4.0,6.0,4.0,17.0,2.0,15.0,17.0,7.0,1.0,1132.0,16.0,137.0,584.0,420.0,63.0,1132.0,751.0,27.0,18.0,8.0,844.0,35.0,19.0,0.0,24.0,23.0,1.0,0.0,0.0,0.0,138.0,20.0,24.0,45.5
+Andrea Petagna,it ITA,FW,Napoli,25,1995,26.0,9.0,964.0,4.0,3.0,0.0,0.0,0.0,0.0,0.37,0.28,0.65,0.37,0.65,4.1,4.1,0.38,0.38,10.7,10.0,0.0,41.7,0.93,0.17,0.4,0.17,-0.1,-0.1,186.0,232.0,80.2,2674.0,381.0,119.0,138.0,86.2,47.0,59.0,79.7,12.0,13.0,92.3,27.0,7.0,6.0,0.0,15.0,215.0,17.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,41.0,3.83,33.0,0.0,5.0,0.0,4.0,0.37,3.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,4.0,0.0,4.0,1.0,7.0,0.0,323.0,10.0,35.0,123.0,167.0,77.0,323.0,183.0,14.0,5.0,12.0,244.0,18.0,14.0,0.0,19.0,17.0,7.0,0.0,0.0,0.0,30.0,27.0,28.0,49.1
+Jacopo Petriccione,it ITA,MF,Crotone,25,1995,20.0,11.0,958.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.6,1.0,0.0,33.3,0.09,0.0,0.0,0.03,-0.1,-0.1,425.0,506.0,84.0,7784.0,2516.0,168.0,186.0,90.3,195.0,221.0,88.2,51.0,74.0,68.9,8.0,38.0,6.0,1.0,51.0,465.0,40.0,24.0,1.0,2.0,14.0,11.0,4.0,1.0,0.0,3.0,1.0,6.0,24.0,2.26,20.0,2.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,6.0,7.0,1.0,11.0,2.0,9.0,8.0,11.0,0.0,573.0,22.0,169.0,340.0,72.0,0.0,573.0,316.0,8.0,4.0,0.0,390.0,4.0,4.0,0.0,18.0,17.0,0.0,0.0,0.0,0.0,65.0,2.0,8.0,20.0
+Jens Petter Hauge,no NOR,FW,Milan,20,1999,18.0,3.0,532.0,2.0,0.0,0.0,0.0,0.0,0.0,0.34,0.0,0.34,0.34,0.34,0.9,0.9,0.15,0.15,5.9,3.0,0.0,42.9,0.51,0.29,0.67,0.13,1.1,1.1,155.0,196.0,79.1,2120.0,526.0,91.0,101.0,90.1,47.0,57.0,82.5,6.0,8.0,75.0,11.0,9.0,9.0,0.0,25.0,192.0,4.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,7.0,21.0,3.55,17.0,0.0,1.0,0.0,3.0,0.51,1.0,0.0,0.0,0.0,0.0,7.0,4.0,3.0,3.0,1.0,4.0,0.0,4.0,1.0,3.0,0.0,259.0,2.0,23.0,96.0,144.0,24.0,259.0,144.0,10.0,7.0,5.0,188.0,15.0,11.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,22.0,5.0,10.0,33.3
+Germán Pezzella,ar ARG,DF,Fiorentina,29,1991,32.0,32.0,2743.0,1.0,0.0,0.0,0.0,5.0,0.0,0.03,0.0,0.03,0.03,0.03,1.3,1.3,0.04,0.04,30.5,2.0,0.0,12.5,0.07,0.06,0.5,0.08,-0.3,-0.3,1000.0,1181.0,84.7,20275.0,6772.0,248.0,291.0,85.2,645.0,699.0,92.3,98.0,163.0,60.1,3.0,50.0,1.0,0.0,46.0,1144.0,33.0,29.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,4.0,4.0,8.0,10.0,0.33,8.0,0.0,1.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,34.0,20.0,22.0,12.0,0.0,26.0,14.0,12.0,36.0,109.0,1.0,1443.0,153.0,738.0,663.0,49.0,30.0,1443.0,774.0,2.0,6.0,1.0,855.0,13.0,1.0,0.0,33.0,17.0,4.0,0.0,2.0,0.0,130.0,66.0,45.0,59.5
+Giuseppe Pezzella,it ITA,DF,Parma,22,1997,24.0,21.0,1828.0,1.0,4.0,0.0,0.0,7.0,0.0,0.05,0.2,0.25,0.05,0.25,0.2,0.2,0.01,0.01,20.3,2.0,0.0,28.6,0.1,0.14,0.5,0.03,0.8,0.8,766.0,997.0,76.8,13448.0,3870.0,352.0,403.0,87.3,309.0,383.0,80.7,85.0,150.0,56.7,19.0,57.0,24.0,13.0,69.0,849.0,140.0,14.0,0.0,4.0,92.0,5.0,3.0,1.0,0.0,121.0,8.0,26.0,29.0,1.43,25.0,1.0,0.0,1.0,7.0,0.34,6.0,0.0,0.0,1.0,0.0,34.0,19.0,23.0,9.0,2.0,22.0,9.0,13.0,12.0,52.0,3.0,1188.0,87.0,372.0,518.0,314.0,25.0,1188.0,650.0,58.0,45.0,8.0,721.0,18.0,24.0,0.0,24.0,25.0,0.0,0.0,0.0,0.0,121.0,20.0,10.0,66.7
+Cristiano Piccini,it ITA,DF,Atalanta,27,1992,1.0,0.0,59.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,14.0,18.0,77.8,193.0,74.0,7.0,8.0,87.5,3.0,3.0,100.0,2.0,4.0,50.0,0.0,1.0,0.0,0.0,2.0,12.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,25.0,0.0,4.0,14.0,7.0,1.0,25.0,9.0,1.0,0.0,0.0,14.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
+Roberto Piccoli,it ITA,FW,Spezia,19,2001,20.0,8.0,703.0,5.0,0.0,0.0,0.0,0.0,0.0,0.64,0.0,0.64,0.64,0.64,5.6,5.6,0.72,0.72,7.8,11.0,0.0,73.3,1.41,0.33,0.45,0.37,-0.6,-0.6,90.0,137.0,65.7,1055.0,118.0,66.0,87.0,75.9,14.0,27.0,51.9,2.0,4.0,50.0,3.0,4.0,2.0,0.0,6.0,114.0,21.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,8.0,1.02,4.0,0.0,1.0,1.0,1.0,0.13,0.0,0.0,0.0,1.0,0.0,7.0,3.0,0.0,4.0,3.0,4.0,0.0,4.0,2.0,5.0,0.0,244.0,6.0,13.0,106.0,127.0,34.0,244.0,123.0,8.0,5.0,2.0,167.0,43.0,12.0,0.0,16.0,13.0,3.0,1.0,0.0,0.0,8.0,17.0,43.0,28.3
+Andrea Pinamonti,it ITA,FW,Inter,21,1999,8.0,1.0,169.0,1.0,0.0,0.0,0.0,0.0,0.0,0.53,0.0,0.53,0.53,0.53,0.7,0.7,0.35,0.35,1.9,2.0,0.0,50.0,1.07,0.25,0.5,0.16,0.3,0.3,37.0,52.0,71.2,421.0,81.0,26.0,32.0,81.3,8.0,10.0,80.0,0.0,2.0,0.0,2.0,2.0,1.0,0.0,5.0,51.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,2.13,3.0,0.0,0.0,1.0,2.0,1.07,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,2.0,0.0,71.0,1.0,8.0,27.0,36.0,7.0,71.0,35.0,1.0,1.0,1.0,60.0,8.0,7.0,0.0,2.0,6.0,1.0,0.0,0.0,0.0,5.0,2.0,2.0,50.0
+Carlo Pinsoglio,it ITA,GK,Juventus,30,1990,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,11.0,90.9,179.0,128.0,5.0,5.0,100.0,4.0,4.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,10.0,12.0,0.0,0.0,0.0,12.0,8.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Fabio Pisacane,it ITA,DF,Cagliari,34,1986,5.0,2.0,228.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,82.0,97.0,84.5,1275.0,551.0,43.0,48.0,89.6,35.0,41.0,85.4,3.0,5.0,60.0,0.0,5.0,0.0,0.0,4.0,90.0,7.0,2.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,1.0,0.39,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,1.0,0.0,8.0,5.0,3.0,1.0,9.0,1.0,121.0,18.0,64.0,48.0,10.0,0.0,121.0,71.0,1.0,3.0,0.0,77.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,10.0,3.0,1.0,75.0
+"Marko Pjaca,hr CRO,""FW,MF"",Genoa,25,1995,35.0,15.0,1418.0,3.0,2.0,0.0,0.0,0.0,0.0,0.19,0.13,0.32,0.19,0.32,2.6,2.6,0.17,0.17,15.8,11.0,0.0,37.9,0.7,0.1,0.27,0.09,0.4,0.4,416.0,498.0,83.5,5448.0,959.0,251.0,287.0,87.5,111.0,125.0,88.8,17.0,22.0,77.3,14.0,26.0,13.0,1.0,50.0,485.0,10.0,2.0,1.0,3.0,4.0,0.0,0.0,0.0,0.0,3.0,3.0,16.0,38.0,2.41,31.0,0.0,0.0,2.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,13.0,6.0,6.0,3.0,4.0,7.0,2.0,5.0,7.0,12.0,0.0,672.0,11.0,89.0,337.0,262.0,43.0,672.0,440.0,38.0,26.0,15.0,539.0,45.0,30.0,0.0,19.0,24.0,2.0,0.0,0.0,0.0,65.0,15.0,47.0,24.2"
+Tommaso Pobega,it ITA,MF,Spezia,21,1999,20.0,17.0,1229.0,6.0,0.0,0.0,0.0,6.0,0.0,0.44,0.0,0.44,0.44,0.44,3.2,3.2,0.23,0.23,13.7,10.0,0.0,45.5,0.73,0.27,0.6,0.15,2.8,2.8,342.0,449.0,76.2,5618.0,1121.0,181.0,209.0,86.6,126.0,168.0,75.0,27.0,45.0,60.0,7.0,33.0,4.0,1.0,38.0,448.0,1.0,1.0,0.0,4.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,23.0,1.68,15.0,0.0,2.0,3.0,5.0,0.37,1.0,0.0,0.0,3.0,0.0,24.0,13.0,7.0,13.0,4.0,10.0,2.0,8.0,9.0,22.0,0.0,587.0,27.0,115.0,315.0,166.0,28.0,587.0,305.0,12.0,10.0,3.0,391.0,18.0,5.0,0.0,28.0,17.0,0.0,3.0,1.0,0.0,61.0,17.0,20.0,45.9
+Andrea Poli,it ITA,MF,Bologna,30,1989,18.0,4.0,383.0,1.0,0.0,0.0,0.0,1.0,0.0,0.23,0.0,0.23,0.23,0.23,1.0,1.0,0.24,0.24,4.3,2.0,0.0,66.7,0.47,0.33,0.5,0.33,0.0,0.0,191.0,213.0,89.7,2874.0,912.0,101.0,108.0,93.5,80.0,84.0,95.2,4.0,8.0,50.0,6.0,29.0,2.0,1.0,25.0,206.0,5.0,5.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,15.0,3.53,13.0,0.0,0.0,0.0,1.0,0.24,1.0,0.0,0.0,0.0,0.0,9.0,7.0,4.0,2.0,3.0,7.0,1.0,6.0,7.0,7.0,0.0,275.0,16.0,73.0,146.0,56.0,7.0,275.0,145.0,4.0,2.0,0.0,169.0,9.0,3.0,0.0,5.0,7.0,0.0,0.0,0.0,1.0,27.0,0.0,7.0,0.0
+"Matteo Politano,it ITA,""FW,MF"",Napoli,26,1993,37.0,22.0,1908.0,9.0,4.0,0.0,0.0,3.0,0.0,0.42,0.19,0.61,0.42,0.61,5.2,5.2,0.25,0.25,21.2,19.0,1.0,30.2,0.9,0.14,0.47,0.08,3.8,3.8,659.0,871.0,75.7,10066.0,2388.0,378.0,423.0,89.4,198.0,260.0,76.2,57.0,111.0,51.4,34.0,28.0,27.0,7.0,78.0,774.0,96.0,14.0,2.0,15.0,90.0,55.0,26.0,10.0,0.0,22.0,1.0,28.0,95.0,4.48,57.0,14.0,4.0,6.0,13.0,0.61,7.0,0.0,1.0,0.0,0.0,24.0,16.0,13.0,9.0,2.0,14.0,1.0,13.0,14.0,18.0,0.0,1117.0,27.0,116.0,382.0,640.0,77.0,1117.0,726.0,94.0,62.0,29.0,823.0,46.0,23.0,0.0,15.0,47.0,0.0,0.0,0.0,0.0,68.0,4.0,18.0,18.2"
+"Manolo Portanova,it ITA,""MF,FW"",Genoa,20,2000,3.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.7,1.0,0.0,100.0,1.36,0.0,0.0,0.01,0.0,0.0,18.0,24.0,75.0,287.0,123.0,10.0,10.0,100.0,5.0,7.0,71.4,2.0,2.0,100.0,0.0,3.0,1.0,0.0,3.0,24.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,5.45,1.0,0.0,0.0,1.0,1.0,1.36,1.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,1.0,1.0,3.0,1.0,2.0,1.0,2.0,0.0,37.0,4.0,13.0,20.0,4.0,0.0,37.0,28.0,0.0,1.0,0.0,27.0,1.0,4.0,0.0,3.0,6.0,0.0,0.0,0.0,0.0,5.0,0.0,4.0,0.0"
+Manolo Portanova,it ITA,MF,Juventus,20,2000,2.0,1.0,70.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.78,0.78,0.8,2.0,1.0,40.0,2.57,0.0,0.0,0.12,-0.6,-0.6,18.0,20.0,90.0,252.0,36.0,11.0,12.0,91.7,5.0,5.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,4.0,1.0,3.0,0.0,1.0,0.0,36.0,1.0,10.0,14.0,12.0,2.0,36.0,18.0,1.0,1.0,0.0,27.0,2.0,2.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
+Ivan Provedel,it ITA,GK,Spezia,26,1994,29.0,29.0,2610.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1042.0,1404.0,74.2,29950.0,19305.0,138.0,140.0,98.6,469.0,482.0,97.3,430.0,774.0,55.6,0.0,17.0,0.0,0.0,0.0,1146.0,255.0,98.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,20.0,1.0,1491.0,1185.0,1482.0,9.0,0.0,0.0,1491.0,944.0,0.0,0.0,0.0,906.0,3.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,60.0,5.0,1.0,83.3
+Erick Pulgar,cl CHI,MF,Fiorentina,26,1994,31.0,21.0,2002.0,1.0,3.0,0.0,0.0,8.0,0.0,0.04,0.13,0.18,0.04,0.18,0.8,0.8,0.04,0.04,22.2,3.0,4.0,18.8,0.13,0.06,0.33,0.05,0.2,0.2,933.0,1152.0,81.0,16703.0,5147.0,400.0,442.0,90.5,392.0,438.0,89.5,111.0,199.0,55.8,21.0,95.0,10.0,5.0,94.0,1021.0,130.0,71.0,1.0,17.0,80.0,43.0,11.0,27.0,0.0,3.0,1.0,21.0,43.0,1.93,24.0,15.0,2.0,0.0,5.0,0.22,1.0,2.0,2.0,0.0,0.0,41.0,18.0,17.0,23.0,1.0,24.0,10.0,14.0,41.0,45.0,1.0,1366.0,86.0,288.0,861.0,234.0,1.0,1366.0,656.0,6.0,13.0,0.0,779.0,25.0,5.0,0.0,23.0,22.0,0.0,0.0,1.0,0.0,140.0,28.0,12.0,70.0
+Ignacio Pussetto,ar ARG,FW,Udinese,24,1995,11.0,9.0,754.0,3.0,1.0,0.0,0.0,2.0,0.0,0.36,0.12,0.48,0.36,0.48,2.5,2.5,0.3,0.3,8.4,7.0,0.0,41.2,0.84,0.18,0.43,0.15,0.5,0.5,118.0,185.0,63.8,1657.0,445.0,68.0,90.0,75.6,35.0,65.0,53.8,7.0,12.0,58.3,8.0,9.0,6.0,1.0,18.0,175.0,10.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,15.0,1.79,11.0,0.0,0.0,1.0,3.0,0.36,1.0,0.0,0.0,1.0,0.0,16.0,8.0,5.0,6.0,5.0,14.0,0.0,14.0,13.0,6.0,0.0,295.0,6.0,28.0,110.0,169.0,43.0,295.0,172.0,25.0,17.0,15.0,196.0,21.0,23.0,0.0,18.0,10.0,7.0,1.0,0.0,0.0,33.0,22.0,21.0,51.2
+Fabio Quagliarella,it ITA,FW,Sampdoria,37,1983,33.0,25.0,2204.0,13.0,1.0,2.0,3.0,1.0,0.0,0.53,0.04,0.57,0.45,0.49,11.8,9.4,0.48,0.38,24.5,25.0,4.0,31.6,1.02,0.14,0.44,0.12,1.2,1.6,362.0,526.0,68.8,5487.0,1166.0,194.0,253.0,76.7,110.0,152.0,72.4,27.0,49.0,55.1,19.0,35.0,10.0,2.0,46.0,467.0,56.0,1.0,0.0,9.0,20.0,0.0,0.0,0.0,0.0,1.0,3.0,25.0,48.0,1.96,32.0,0.0,10.0,4.0,4.0,0.16,2.0,0.0,1.0,1.0,0.0,12.0,8.0,4.0,4.0,4.0,14.0,1.0,13.0,7.0,10.0,0.0,762.0,13.0,69.0,345.0,356.0,104.0,759.0,404.0,20.0,13.0,9.0,561.0,60.0,34.0,0.0,27.0,35.0,18.0,1.0,0.0,0.0,69.0,34.0,50.0,40.5
+"Simone Rabbi,it ITA,""FW,DF"",Bologna,18,2001,4.0,0.0,35.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.57,2.57,0.0,2.57,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,9.0,55.6,72.0,22.0,3.0,3.0,100.0,2.0,4.0,50.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,2.0,7.0,9.0,2.0,17.0,12.0,0.0,4.0,0.0,13.0,4.0,2.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0"
+Adrien Rabiot,fr FRA,MF,Juventus,25,1995,34.0,25.0,2313.0,4.0,2.0,0.0,0.0,7.0,1.0,0.16,0.08,0.23,0.16,0.23,2.7,2.7,0.11,0.11,25.7,12.0,0.0,36.4,0.47,0.12,0.33,0.08,1.3,1.3,1297.0,1450.0,89.4,20213.0,5167.0,687.0,752.0,91.4,492.0,528.0,93.2,80.0,91.0,87.9,10.0,114.0,23.0,4.0,122.0,1412.0,31.0,21.0,1.0,4.0,20.0,0.0,0.0,0.0,0.0,10.0,7.0,26.0,51.0,1.98,47.0,0.0,1.0,0.0,9.0,0.35,5.0,0.0,1.0,0.0,0.0,72.0,42.0,24.0,41.0,7.0,32.0,11.0,21.0,43.0,29.0,1.0,1765.0,93.0,425.0,968.0,399.0,41.0,1765.0,1072.0,69.0,62.0,8.0,1275.0,39.0,14.0,1.0,44.0,21.0,0.0,0.0,2.0,0.0,147.0,37.0,20.0,64.9
+"Ivan Radovanović,rs SRB,""DF,MF"",Genoa,31,1988,33.0,24.0,2232.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,24.8,1.0,1.0,16.7,0.04,0.0,0.0,0.07,-0.4,-0.4,968.0,1140.0,84.9,20153.0,6983.0,288.0,320.0,90.0,529.0,577.0,91.7,141.0,215.0,65.6,3.0,45.0,0.0,0.0,55.0,1103.0,36.0,33.0,0.0,8.0,4.0,2.0,2.0,0.0,0.0,0.0,1.0,7.0,12.0,0.48,7.0,2.0,2.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,18.0,15.0,13.0,5.0,0.0,39.0,21.0,18.0,37.0,114.0,2.0,1391.0,217.0,755.0,612.0,37.0,4.0,1391.0,806.0,4.0,4.0,0.0,851.0,7.0,2.0,0.0,28.0,25.0,0.0,0.0,2.0,0.0,156.0,54.0,45.0,54.5"
+Ionuț Radu,ro ROU,GK,Inter,23,1997,2.0,1.0,135.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,54.0,56.0,96.4,982.0,484.0,21.0,21.0,100.0,29.0,29.0,100.0,3.0,5.0,60.0,0.0,0.0,0.0,0.0,0.0,44.0,12.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,59.0,50.0,59.0,0.0,0.0,0.0,59.0,36.0,0.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
+Ștefan Radu,ro ROU,DF,Lazio,33,1986,31.0,30.0,2458.0,0.0,3.0,0.0,0.0,2.0,0.0,0.0,0.11,0.11,0.0,0.11,0.4,0.4,0.02,0.02,27.3,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.4,-0.4,1355.0,1635.0,82.9,23882.0,9253.0,612.0,677.0,90.4,594.0,680.0,87.4,122.0,212.0,57.5,19.0,147.0,32.0,17.0,165.0,1561.0,63.0,30.0,0.0,10.0,61.0,2.0,1.0,0.0,0.0,31.0,11.0,21.0,47.0,1.72,43.0,1.0,0.0,0.0,6.0,0.22,6.0,0.0,0.0,0.0,0.0,43.0,24.0,20.0,19.0,4.0,27.0,14.0,13.0,45.0,73.0,1.0,1891.0,118.0,670.0,954.0,277.0,10.0,1891.0,1087.0,46.0,38.0,1.0,1289.0,17.0,5.0,0.0,20.0,22.0,0.0,0.0,0.0,0.0,146.0,41.0,21.0,66.1
+Rafael,br BRA,GK,Spezia,38,1982,3.0,2.0,207.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.43,0.43,0.0,0.43,0.0,0.0,0.0,0.0,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,78.0,107.0,72.9,1970.0,1422.0,24.0,24.0,100.0,30.0,31.0,96.8,24.0,52.0,46.2,1.0,0.0,0.0,0.0,0.0,81.0,26.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,87.0,114.0,0.0,0.0,0.0,114.0,62.0,0.0,0.0,0.0,62.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,100.0
+Antonio Raimondo,it ITA,FW,Bologna,16,2004,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+"Gastón Ramírez,uy URU,""FW,MF"",Sampdoria,29,1990,25.0,10.0,969.0,0.0,4.0,0.0,0.0,5.0,0.0,0.0,0.37,0.37,0.0,0.37,0.8,0.8,0.08,0.08,10.8,5.0,2.0,38.5,0.46,0.0,0.0,0.06,-0.8,-0.8,350.0,490.0,71.4,5545.0,1776.0,189.0,230.0,82.2,95.0,126.0,75.4,41.0,84.0,48.8,22.0,41.0,12.0,1.0,58.0,420.0,68.0,25.0,1.0,5.0,55.0,38.0,14.0,19.0,0.0,2.0,2.0,9.0,51.0,4.74,32.0,10.0,0.0,6.0,8.0,0.74,6.0,2.0,0.0,0.0,0.0,31.0,15.0,10.0,17.0,4.0,19.0,3.0,16.0,4.0,13.0,0.0,639.0,22.0,88.0,295.0,269.0,20.0,639.0,333.0,16.0,20.0,4.0,433.0,28.0,24.0,0.0,32.0,33.0,3.0,0.0,0.0,0.0,51.0,26.0,34.0,43.3"
+Aaron Ramsey,wls WAL,MF,Juventus,29,1990,22.0,13.0,1089.0,2.0,4.0,0.0,0.0,2.0,0.0,0.17,0.33,0.5,0.17,0.5,4.2,4.2,0.35,0.35,12.1,11.0,0.0,45.8,0.91,0.08,0.18,0.17,-2.2,-2.2,622.0,728.0,85.4,9585.0,2443.0,328.0,365.0,89.9,217.0,241.0,90.0,48.0,65.0,73.8,31.0,57.0,21.0,5.0,72.0,704.0,19.0,7.0,1.0,2.0,22.0,9.0,3.0,3.0,0.0,1.0,5.0,14.0,58.0,4.79,46.0,5.0,2.0,2.0,9.0,0.74,6.0,0.0,0.0,1.0,1.0,22.0,14.0,8.0,13.0,1.0,13.0,2.0,11.0,7.0,8.0,2.0,858.0,18.0,115.0,423.0,323.0,62.0,858.0,492.0,38.0,25.0,13.0,698.0,30.0,9.0,0.0,19.0,18.0,3.0,1.0,0.0,0.0,56.0,8.0,13.0,38.1
+Andrea Ranocchia,it ITA,DF,Inter,32,1988,8.0,8.0,703.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.13,0.13,0.0,0.13,1.6,1.6,0.2,0.2,7.8,2.0,0.0,22.2,0.26,0.0,0.0,0.17,-1.6,-1.6,468.0,496.0,94.4,9382.0,3387.0,124.0,130.0,95.4,290.0,296.0,98.0,49.0,61.0,80.3,3.0,11.0,0.0,0.0,17.0,481.0,15.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,7.0,0.9,4.0,0.0,2.0,0.0,1.0,0.13,0.0,0.0,1.0,0.0,0.0,13.0,10.0,6.0,6.0,1.0,5.0,3.0,2.0,12.0,19.0,0.0,562.0,56.0,249.0,299.0,17.0,12.0,562.0,337.0,4.0,2.0,0.0,416.0,3.0,1.0,0.0,13.0,7.0,1.0,0.0,0.0,0.0,40.0,20.0,10.0,66.7
+"Giacomo Raspadori,it ITA,""FW,MF"",Sassuolo,20,2000,27.0,13.0,1232.0,6.0,0.0,0.0,0.0,1.0,0.0,0.44,0.0,0.44,0.44,0.44,4.3,4.3,0.31,0.31,13.7,12.0,1.0,50.0,0.88,0.25,0.5,0.18,1.7,1.7,269.0,354.0,76.0,4081.0,897.0,151.0,173.0,87.3,76.0,93.0,81.7,24.0,50.0,48.0,27.0,13.0,11.0,0.0,33.0,281.0,72.0,12.0,2.0,1.0,42.0,33.0,18.0,11.0,0.0,0.0,1.0,11.0,62.0,4.53,36.0,10.0,0.0,10.0,10.0,0.73,5.0,2.0,0.0,3.0,0.0,5.0,3.0,1.0,1.0,3.0,13.0,5.0,8.0,2.0,9.0,0.0,481.0,18.0,44.0,177.0,265.0,54.0,481.0,277.0,21.0,12.0,14.0,346.0,36.0,23.0,0.0,8.0,23.0,4.0,4.0,0.0,0.0,29.0,3.0,7.0,30.0"
+Federico Ravaglia,it ITA,GK,Bologna,20,1999,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,116.0,137.0,84.7,2396.0,1828.0,36.0,36.0,100.0,55.0,56.0,98.2,20.0,40.0,50.0,0.0,0.0,0.0,0.0,0.0,108.0,29.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,147.0,123.0,147.0,0.0,0.0,0.0,147.0,91.0,0.0,0.0,0.0,78.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0
+Ante Rebić,hr CRO,FW,Milan,26,1993,27.0,20.0,1776.0,11.0,4.0,0.0,0.0,4.0,1.0,0.56,0.2,0.76,0.56,0.76,5.9,5.6,0.3,0.28,19.7,23.0,0.0,53.5,1.17,0.26,0.48,0.13,5.1,5.4,290.0,472.0,61.4,3964.0,1216.0,177.0,234.0,75.6,64.0,113.0,56.6,22.0,41.0,53.7,36.0,24.0,31.0,10.0,52.0,447.0,20.0,2.0,2.0,2.0,61.0,2.0,1.0,0.0,0.0,7.0,5.0,31.0,69.0,3.5,50.0,1.0,7.0,5.0,13.0,0.66,7.0,0.0,2.0,3.0,1.0,26.0,9.0,4.0,8.0,14.0,21.0,1.0,20.0,7.0,17.0,0.0,720.0,20.0,54.0,191.0,481.0,112.0,720.0,376.0,43.0,17.0,22.0,508.0,64.0,29.0,0.0,33.0,14.0,11.0,3.0,0.0,0.0,48.0,23.0,35.0,39.7
+Arkadiusz Reca,pl POL,DF,Crotone,25,1995,30.0,28.0,2313.0,2.0,3.0,0.0,0.0,7.0,0.0,0.08,0.12,0.19,0.08,0.19,1.5,1.5,0.06,0.06,25.7,7.0,0.0,23.3,0.27,0.07,0.29,0.05,0.5,0.5,718.0,1029.0,69.8,11934.0,4025.0,356.0,431.0,82.6,289.0,405.0,71.4,50.0,105.0,47.6,26.0,35.0,25.0,11.0,66.0,847.0,177.0,8.0,0.0,12.0,81.0,0.0,0.0,0.0,0.0,168.0,5.0,41.0,55.0,2.14,35.0,3.0,0.0,6.0,13.0,0.51,3.0,2.0,0.0,4.0,0.0,34.0,16.0,15.0,11.0,8.0,30.0,3.0,27.0,50.0,64.0,0.0,1338.0,102.0,423.0,514.0,423.0,68.0,1338.0,696.0,85.0,40.0,22.0,719.0,48.0,14.0,0.0,34.0,25.0,5.0,4.0,0.0,0.0,159.0,34.0,36.0,48.6
+Vasco Regini,it ITA,DF,Sampdoria,29,1990,3.0,1.0,88.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,40.0,87.5,572.0,265.0,21.0,23.0,91.3,10.0,12.0,83.3,4.0,5.0,80.0,1.0,3.0,1.0,1.0,3.0,31.0,9.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,1.0,1.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,1.0,0.0,1.0,5.0,0.0,52.0,5.0,21.0,19.0,12.0,0.0,52.0,18.0,0.0,1.0,0.0,28.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0
+Pepe Reina,es ESP,GK,Lazio,37,1982,29.0,29.0,2610.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,924.0,1131.0,81.7,23926.0,18127.0,176.0,176.0,100.0,445.0,456.0,97.6,296.0,489.0,60.5,1.0,11.0,1.0,0.0,2.0,919.0,209.0,64.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,0.14,4.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.0,1182.0,974.0,1174.0,9.0,0.0,0.0,1182.0,740.0,0.0,0.0,0.0,673.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,23.0,4.0,0.0,100.0
+Bryan Reynolds,us USA,DF,Roma,19,2001,5.0,3.0,283.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,122.0,148.0,82.4,1866.0,519.0,71.0,81.0,87.7,39.0,46.0,84.8,9.0,15.0,60.0,1.0,9.0,3.0,0.0,9.0,118.0,30.0,3.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,27.0,0.0,2.0,3.0,0.95,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,1.0,2.0,4.0,0.0,4.0,6.0,4.0,0.0,175.0,2.0,37.0,93.0,45.0,1.0,175.0,99.0,8.0,7.0,0.0,114.0,5.0,6.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,10.0,2.0,3.0,40.0
+Franck Ribéry,fr FRA,FW,Fiorentina,37,1983,29.0,28.0,2149.0,2.0,6.0,0.0,0.0,6.0,1.0,0.08,0.25,0.34,0.08,0.34,2.6,2.6,0.11,0.11,23.9,9.0,0.0,42.9,0.38,0.1,0.22,0.13,-0.6,-0.6,768.0,882.0,87.1,12172.0,2546.0,408.0,446.0,91.5,262.0,292.0,89.7,67.0,79.0,84.8,35.0,85.0,35.0,2.0,109.0,847.0,29.0,9.0,6.0,11.0,18.0,0.0,0.0,0.0,0.0,9.0,6.0,21.0,83.0,3.47,63.0,1.0,2.0,8.0,11.0,0.46,8.0,0.0,0.0,1.0,0.0,24.0,11.0,4.0,9.0,11.0,11.0,2.0,9.0,3.0,1.0,0.0,1138.0,5.0,72.0,559.0,522.0,81.0,1138.0,809.0,96.0,69.0,32.0,955.0,73.0,84.0,0.0,36.0,73.0,7.0,1.0,0.0,0.0,72.0,6.0,20.0,23.1
+Federico Ricci,it ITA,FW,Sassuolo,26,1994,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,63.0,8.0,2.0,2.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,3.0,2.0,0.0,5.0,3.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Giacomo Ricci,it ITA,DF,Parma,23,1996,3.0,0.0,67.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,25.0,80.0,412.0,165.0,4.0,6.0,66.7,13.0,13.0,100.0,3.0,4.0,75.0,0.0,4.0,2.0,1.0,4.0,21.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,2.0,2.69,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,2.0,0.0,1.0,4.0,0.0,42.0,5.0,11.0,19.0,12.0,1.0,42.0,22.0,2.0,1.0,0.0,23.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,33.3
+Matteo Ricci,it ITA,MF,Spezia,26,1994,29.0,26.0,2229.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,1.0,1.0,0.04,0.04,24.8,5.0,3.0,23.8,0.2,0.0,0.0,0.05,-1.0,-1.0,1418.0,1667.0,85.1,29578.0,9592.0,454.0,504.0,90.1,702.0,772.0,90.9,243.0,341.0,71.3,22.0,178.0,26.0,4.0,185.0,1541.0,121.0,107.0,4.0,24.0,32.0,13.0,1.0,9.0,0.0,1.0,5.0,18.0,50.0,2.02,41.0,6.0,1.0,1.0,4.0,0.16,4.0,0.0,0.0,0.0,0.0,40.0,23.0,14.0,24.0,2.0,24.0,4.0,20.0,34.0,13.0,0.0,1841.0,45.0,379.0,1175.0,309.0,12.0,1841.0,1048.0,26.0,28.0,3.0,1288.0,19.0,12.0,0.0,27.0,29.0,0.0,0.0,0.0,0.0,188.0,15.0,12.0,55.6
+Tomás Rincón,ve VEN,MF,Torino,32,1988,36.0,33.0,2846.0,1.0,1.0,0.0,0.0,10.0,1.0,0.03,0.03,0.06,0.03,0.06,1.3,1.3,0.04,0.04,31.6,4.0,0.0,18.2,0.13,0.05,0.25,0.06,-0.3,-0.3,1141.0,1373.0,83.1,19191.0,6007.0,595.0,667.0,89.2,399.0,455.0,87.7,118.0,179.0,65.9,14.0,132.0,16.0,4.0,125.0,1307.0,60.0,46.0,2.0,25.0,21.0,2.0,1.0,0.0,0.0,10.0,6.0,18.0,39.0,1.23,28.0,0.0,3.0,1.0,4.0,0.13,1.0,0.0,1.0,0.0,0.0,68.0,38.0,27.0,33.0,8.0,32.0,7.0,25.0,31.0,44.0,0.0,1666.0,75.0,415.0,989.0,281.0,26.0,1666.0,876.0,30.0,29.0,7.0,1100.0,41.0,26.0,1.0,72.0,44.0,0.0,0.0,0.0,0.0,175.0,48.0,36.0,57.1
+Andrea Rispoli,it ITA,DF,Crotone,31,1988,19.0,5.0,652.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.06,0.06,7.2,1.0,0.0,25.0,0.14,0.0,0.0,0.1,-0.4,-0.4,224.0,324.0,69.1,3839.0,1462.0,107.0,128.0,83.6,87.0,116.0,75.0,21.0,43.0,48.8,10.0,11.0,7.0,7.0,18.0,266.0,57.0,5.0,0.0,2.0,30.0,2.0,0.0,0.0,0.0,50.0,1.0,21.0,15.0,2.06,13.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,2.0,3.0,1.0,12.0,3.0,9.0,5.0,15.0,1.0,393.0,29.0,119.0,140.0,139.0,10.0,393.0,179.0,15.0,11.0,1.0,222.0,7.0,3.0,0.0,8.0,4.0,1.0,0.0,0.0,0.0,22.0,4.0,7.0,36.4
+Emmanuel Rivière,fr FRA,FW,Crotone,30,1990,21.0,7.0,640.0,1.0,1.0,0.0,0.0,2.0,0.0,0.14,0.14,0.28,0.14,0.28,1.1,1.1,0.16,0.16,7.1,4.0,0.0,33.3,0.56,0.08,0.25,0.09,-0.1,-0.1,108.0,149.0,72.5,1347.0,211.0,63.0,83.0,75.9,30.0,36.0,83.3,4.0,5.0,80.0,5.0,6.0,0.0,0.0,6.0,144.0,4.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,11.0,1.55,8.0,0.0,1.0,1.0,4.0,0.56,3.0,0.0,1.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,0.0,211.0,1.0,15.0,116.0,84.0,24.0,211.0,116.0,7.0,5.0,3.0,172.0,19.0,8.0,0.0,10.0,18.0,1.0,0.0,0.0,0.0,18.0,14.0,21.0,40.0
+Ricardo Rodríguez,ch SUI,DF,Torino,27,1992,16.0,15.0,1238.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,13.8,2.0,8.0,15.4,0.15,0.0,0.0,0.05,-0.6,-0.6,600.0,719.0,83.4,10064.0,3055.0,321.0,333.0,96.4,210.0,248.0,84.7,58.0,100.0,58.0,6.0,36.0,5.0,0.0,49.0,638.0,77.0,17.0,0.0,16.0,20.0,1.0,1.0,0.0,0.0,59.0,4.0,14.0,25.0,1.82,21.0,1.0,2.0,1.0,4.0,0.29,4.0,0.0,0.0,0.0,0.0,21.0,14.0,11.0,8.0,2.0,16.0,5.0,11.0,20.0,43.0,0.0,855.0,49.0,264.0,451.0,150.0,4.0,855.0,486.0,19.0,14.0,0.0,556.0,5.0,4.0,0.0,13.0,6.0,0.0,0.0,0.0,0.0,53.0,16.0,12.0,57.1
+Marko Rog,hr CRO,MF,Cagliari,25,1995,14.0,14.0,1165.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,12.9,2.0,0.0,25.0,0.15,0.0,0.0,0.03,-0.2,-0.2,541.0,619.0,87.4,8565.0,2501.0,296.0,323.0,91.6,186.0,210.0,88.6,42.0,56.0,75.0,8.0,55.0,7.0,2.0,53.0,593.0,25.0,24.0,1.0,2.0,6.0,1.0,1.0,0.0,0.0,0.0,1.0,7.0,23.0,1.78,20.0,0.0,0.0,2.0,1.0,0.08,0.0,0.0,0.0,1.0,0.0,40.0,24.0,15.0,22.0,3.0,17.0,6.0,11.0,19.0,15.0,0.0,760.0,29.0,177.0,461.0,138.0,8.0,760.0,410.0,30.0,26.0,6.0,493.0,20.0,12.0,0.0,34.0,23.0,0.0,0.0,0.0,0.0,95.0,5.0,13.0,27.8
+Rogério,br BRA,DF,Sassuolo,22,1998,28.0,21.0,1877.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.05,0.05,0.0,0.05,0.5,0.5,0.03,0.03,20.9,3.0,0.0,18.8,0.14,0.0,0.0,0.03,-0.5,-0.5,1061.0,1268.0,83.7,16203.0,4335.0,586.0,636.0,92.1,382.0,452.0,84.5,60.0,110.0,54.5,12.0,59.0,15.0,5.0,81.0,1116.0,152.0,24.0,0.0,5.0,75.0,2.0,0.0,2.0,0.0,126.0,0.0,20.0,30.0,1.44,24.0,3.0,2.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,26.0,13.0,19.0,5.0,2.0,26.0,5.0,21.0,31.0,53.0,0.0,1514.0,79.0,426.0,644.0,455.0,35.0,1514.0,902.0,59.0,49.0,9.0,1024.0,30.0,13.0,0.0,28.0,25.0,1.0,0.0,0.0,0.0,93.0,13.0,16.0,44.8
+"Luis Rojas,cl CHI,""MF,FW"",Crotone,18,2002,7.0,0.0,104.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,36.0,46.0,78.3,501.0,108.0,22.0,25.0,88.0,11.0,14.0,78.6,1.0,4.0,25.0,1.0,3.0,0.0,0.0,3.0,45.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,2.0,1.71,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,68.0,1.0,6.0,45.0,19.0,1.0,68.0,34.0,1.0,3.0,0.0,46.0,9.0,6.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,1.0,50.0"
+Alessio Romagnoli,it ITA,DF,Milan,25,1995,22.0,21.0,1907.0,1.0,1.0,0.0,0.0,7.0,0.0,0.05,0.05,0.09,0.05,0.09,2.8,2.8,0.13,0.13,21.2,3.0,0.0,20.0,0.14,0.07,0.33,0.19,-1.8,-1.8,920.0,1029.0,89.4,16835.0,5763.0,314.0,333.0,94.3,534.0,571.0,93.5,61.0,99.0,61.6,3.0,40.0,2.0,1.0,62.0,986.0,40.0,37.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,2.0,3.0,3.0,14.0,0.66,11.0,0.0,3.0,0.0,2.0,0.09,2.0,0.0,0.0,0.0,0.0,17.0,7.0,8.0,7.0,2.0,29.0,22.0,7.0,24.0,80.0,0.0,1221.0,153.0,602.0,595.0,33.0,20.0,1221.0,688.0,7.0,7.0,0.0,824.0,6.0,1.0,0.0,19.0,11.0,0.0,0.0,1.0,0.0,85.0,55.0,26.0,67.9
+Cristian Romero,ar ARG,DF,Atalanta,22,1998,31.0,29.0,2545.0,2.0,2.0,0.0,0.0,10.0,0.0,0.07,0.07,0.14,0.07,0.14,1.3,1.3,0.05,0.05,28.3,7.0,0.0,50.0,0.25,0.14,0.29,0.09,0.7,0.7,1134.0,1315.0,86.2,21761.0,7481.0,372.0,441.0,84.4,631.0,677.0,93.2,117.0,146.0,80.1,9.0,54.0,7.0,0.0,71.0,1261.0,53.0,47.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,17.0,28.0,0.99,21.0,0.0,2.0,2.0,5.0,0.18,3.0,0.0,0.0,1.0,0.0,63.0,32.0,41.0,19.0,3.0,31.0,13.0,18.0,96.0,71.0,2.0,1662.0,153.0,764.0,817.0,100.0,29.0,1662.0,863.0,26.0,18.0,0.0,818.0,16.0,7.0,0.0,70.0,32.0,0.0,1.0,0.0,0.0,237.0,112.0,50.0,69.1
+Cristiano Ronaldo,pt POR,FW,Juventus,35,1985,33.0,31.0,2802.0,29.0,2.0,6.0,8.0,3.0,0.0,0.93,0.06,1.0,0.74,0.8,27.7,21.4,0.89,0.69,31.1,61.0,17.0,38.1,1.96,0.14,0.38,0.13,1.3,1.6,838.0,1078.0,77.7,11323.0,2590.0,519.0,602.0,86.2,231.0,288.0,80.2,36.0,63.0,57.1,36.0,73.0,32.0,7.0,117.0,1017.0,52.0,15.0,3.0,2.0,64.0,5.0,0.0,0.0,0.0,18.0,9.0,34.0,122.0,3.92,66.0,2.0,19.0,12.0,16.0,0.51,7.0,0.0,5.0,1.0,0.0,6.0,3.0,1.0,3.0,2.0,11.0,3.0,8.0,5.0,15.0,1.0,1442.0,20.0,61.0,589.0,805.0,197.0,1434.0,831.0,154.0,124.0,67.0,1167.0,62.0,32.0,0.0,17.0,43.0,31.0,1.0,0.0,0.0,71.0,21.0,23.0,47.7
+Marten de Roon,nl NED,MF,Atalanta,29,1991,35.0,33.0,3021.0,1.0,1.0,0.0,0.0,8.0,1.0,0.03,0.03,0.06,0.03,0.06,0.6,0.6,0.02,0.02,33.6,3.0,0.0,17.6,0.09,0.06,0.33,0.04,0.4,0.4,1865.0,2205.0,84.6,34012.0,11402.0,783.0,873.0,89.7,872.0,964.0,90.5,191.0,286.0,66.8,19.0,264.0,21.0,2.0,245.0,2114.0,80.0,65.0,0.0,20.0,16.0,0.0,0.0,0.0,0.0,15.0,11.0,20.0,70.0,2.09,66.0,2.0,0.0,0.0,7.0,0.21,6.0,0.0,0.0,0.0,1.0,80.0,48.0,30.0,36.0,14.0,44.0,9.0,35.0,69.0,40.0,0.0,2491.0,74.0,540.0,1527.0,439.0,13.0,2491.0,1412.0,37.0,42.0,5.0,1627.0,17.0,10.0,0.0,65.0,23.0,0.0,0.0,0.0,0.0,258.0,65.0,44.0,59.6
+Nicolò Rovella,it ITA,MF,Genoa,18,2001,20.0,12.0,1187.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.15,0.15,0.0,0.15,0.9,0.9,0.07,0.07,13.2,2.0,2.0,18.2,0.15,0.0,0.0,0.08,-0.9,-0.9,710.0,844.0,84.1,12704.0,3236.0,323.0,349.0,92.6,279.0,315.0,88.6,92.0,142.0,64.8,16.0,53.0,11.0,4.0,59.0,795.0,45.0,27.0,3.0,9.0,29.0,16.0,3.0,11.0,0.0,1.0,4.0,7.0,28.0,2.12,21.0,2.0,0.0,4.0,2.0,0.15,1.0,1.0,0.0,0.0,0.0,29.0,16.0,15.0,11.0,3.0,11.0,0.0,11.0,20.0,19.0,1.0,974.0,37.0,288.0,557.0,141.0,3.0,974.0,640.0,15.0,18.0,1.0,665.0,16.0,6.0,0.0,19.0,23.0,0.0,0.0,1.0,0.0,93.0,7.0,13.0,35.0
+Amir Rrahmani,xk KVX,DF,Napoli,26,1994,16.0,12.0,1094.0,1.0,0.0,0.0,0.0,2.0,0.0,0.08,0.0,0.08,0.08,0.08,0.4,0.4,0.03,0.03,12.2,2.0,0.0,40.0,0.16,0.2,0.5,0.09,0.6,0.6,545.0,600.0,90.8,9969.0,3563.0,222.0,236.0,94.1,255.0,269.0,94.8,56.0,75.0,74.7,0.0,16.0,0.0,0.0,24.0,561.0,39.0,26.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,6.0,0.49,3.0,0.0,1.0,2.0,2.0,0.16,0.0,0.0,1.0,1.0,0.0,13.0,8.0,7.0,6.0,0.0,17.0,14.0,3.0,8.0,39.0,1.0,691.0,101.0,383.0,299.0,12.0,7.0,691.0,381.0,0.0,1.0,0.0,446.0,3.0,0.0,0.0,11.0,8.0,0.0,2.0,0.0,0.0,54.0,24.0,21.0,53.3
+"Kevin Rüegg,ch SUI,""DF,MF"",Hellas Verona,21,1998,7.0,1.0,205.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,2.3,1.0,0.0,100.0,0.44,0.0,0.0,0.03,0.0,0.0,49.0,72.0,68.1,774.0,172.0,26.0,28.0,92.9,18.0,24.0,75.0,5.0,14.0,35.7,0.0,2.0,1.0,1.0,3.0,59.0,12.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,12.0,1.0,3.0,2.0,0.99,1.0,0.0,0.0,1.0,1.0,0.5,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,2.0,3.0,0.0,88.0,3.0,27.0,23.0,38.0,1.0,88.0,39.0,3.0,3.0,0.0,54.0,5.0,2.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,9.0,1.0,4.0,20.0"
+Daniele Rugani,it ITA,DF,Cagliari,26,1994,16.0,12.0,1001.0,1.0,1.0,0.0,0.0,2.0,0.0,0.09,0.09,0.18,0.09,0.18,0.4,0.4,0.04,0.04,11.1,1.0,0.0,33.3,0.09,0.33,1.0,0.14,0.6,0.6,402.0,508.0,79.1,7043.0,2474.0,171.0,198.0,86.4,189.0,220.0,85.9,33.0,70.0,47.1,3.0,23.0,2.0,0.0,36.0,483.0,24.0,20.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,4.0,1.0,5.0,4.0,0.36,3.0,0.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,24.0,11.0,10.0,12.0,2.0,15.0,10.0,5.0,15.0,46.0,0.0,635.0,66.0,287.0,313.0,39.0,11.0,635.0,297.0,4.0,6.0,0.0,353.0,4.0,3.0,0.0,15.0,4.0,0.0,0.0,0.0,0.0,49.0,33.0,16.0,67.3
+Matteo Ruggeri,it ITA,DF,Atalanta,18,2002,6.0,3.0,208.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.3,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,94.0,119.0,79.0,1368.0,489.0,58.0,61.0,95.1,29.0,45.0,64.4,6.0,9.0,66.7,1.0,4.0,1.0,1.0,4.0,108.0,11.0,2.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,4.0,1.73,4.0,0.0,0.0,0.0,1.0,0.43,1.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,2.0,0.0,2.0,0.0,2.0,4.0,2.0,0.0,138.0,4.0,36.0,51.0,52.0,3.0,138.0,70.0,6.0,3.0,0.0,100.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,11.0,3.0,2.0,60.0
+Mário Rui,pt POR,DF,Napoli,29,1991,27.0,17.0,1669.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.11,0.11,0.0,0.11,0.9,0.9,0.05,0.05,18.5,2.0,2.0,10.5,0.11,0.0,0.0,0.05,-0.9,-0.9,1133.0,1386.0,81.7,17609.0,5940.0,631.0,679.0,92.9,384.0,461.0,83.3,87.0,171.0,50.9,31.0,59.0,21.0,12.0,67.0,1181.0,199.0,53.0,1.0,5.0,83.0,21.0,10.0,4.0,0.0,125.0,6.0,28.0,60.0,3.23,45.0,9.0,1.0,3.0,5.0,0.27,4.0,1.0,0.0,0.0,0.0,24.0,13.0,17.0,6.0,1.0,17.0,4.0,13.0,28.0,29.0,1.0,1556.0,49.0,432.0,724.0,410.0,20.0,1556.0,900.0,37.0,29.0,2.0,1063.0,24.0,4.0,0.0,17.0,41.0,3.0,0.0,0.0,0.0,106.0,9.0,13.0,40.9
+Fabián Ruiz Peña,es ESP,MF,Napoli,24,1996,33.0,29.0,2569.0,3.0,1.0,0.0,0.0,1.0,0.0,0.11,0.04,0.14,0.11,0.14,2.0,2.0,0.07,0.07,28.5,15.0,1.0,34.9,0.53,0.07,0.2,0.05,1.0,1.0,1884.0,2110.0,89.3,32946.0,8928.0,924.0,989.0,93.4,656.0,706.0,92.9,244.0,298.0,81.9,40.0,206.0,39.0,2.0,226.0,2036.0,69.0,59.0,0.0,38.0,23.0,7.0,2.0,1.0,0.0,3.0,5.0,31.0,112.0,3.92,96.0,1.0,7.0,2.0,12.0,0.42,9.0,0.0,0.0,2.0,0.0,58.0,31.0,26.0,21.0,11.0,33.0,3.0,30.0,36.0,32.0,1.0,2380.0,73.0,457.0,1378.0,569.0,39.0,2380.0,1520.0,61.0,55.0,6.0,1869.0,23.0,20.0,0.0,11.0,26.0,1.0,0.0,1.0,0.0,186.0,15.0,7.0,68.2
+Alexis Saelemaekers,be BEL,FW,Milan,21,1999,32.0,27.0,2016.0,2.0,4.0,0.0,0.0,7.0,1.0,0.09,0.18,0.27,0.09,0.27,2.4,2.4,0.11,0.11,22.4,7.0,0.0,25.0,0.31,0.07,0.29,0.09,-0.4,-0.4,679.0,860.0,79.0,8861.0,2127.0,417.0,482.0,86.5,190.0,233.0,81.5,21.0,51.0,41.2,30.0,50.0,23.0,9.0,59.0,844.0,15.0,2.0,1.0,2.0,47.0,4.0,2.0,2.0,0.0,9.0,1.0,19.0,86.0,3.84,66.0,0.0,1.0,10.0,9.0,0.4,7.0,0.0,0.0,2.0,0.0,43.0,26.0,20.0,18.0,5.0,29.0,1.0,28.0,25.0,6.0,0.0,1126.0,13.0,151.0,457.0,531.0,58.0,1126.0,619.0,43.0,26.0,10.0,807.0,61.0,20.0,1.0,29.0,34.0,6.0,1.0,0.0,0.0,113.0,7.0,16.0,30.4
+Jacopo Sala,it ITA,DF,Spezia,28,1991,6.0,4.0,375.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,237.0,280.0,84.6,3953.0,1509.0,122.0,132.0,92.4,92.0,111.0,82.9,18.0,27.0,66.7,2.0,11.0,5.0,3.0,24.0,233.0,47.0,8.0,0.0,1.0,14.0,0.0,0.0,0.0,0.0,39.0,0.0,1.0,7.0,1.68,7.0,0.0,0.0,0.0,1.0,0.24,1.0,0.0,0.0,0.0,0.0,17.0,9.0,14.0,1.0,2.0,5.0,2.0,3.0,5.0,6.0,0.0,319.0,19.0,106.0,151.0,65.0,3.0,319.0,165.0,6.0,2.0,2.0,200.0,2.0,1.0,0.0,7.0,4.0,0.0,0.0,0.0,0.0,23.0,4.0,3.0,57.1
+"Eddie Salcedo,it ITA,""MF,FW"",Hellas Verona,18,2001,21.0,7.0,755.0,2.0,0.0,0.0,0.0,3.0,0.0,0.24,0.0,0.24,0.24,0.24,3.9,3.9,0.46,0.46,8.4,10.0,0.0,45.5,1.19,0.09,0.2,0.18,-1.9,-1.9,181.0,270.0,67.0,2357.0,756.0,117.0,149.0,78.5,50.0,71.0,70.4,5.0,16.0,31.3,5.0,14.0,10.0,1.0,29.0,255.0,14.0,0.0,0.0,0.0,18.0,1.0,0.0,0.0,0.0,12.0,1.0,15.0,12.0,1.43,9.0,1.0,0.0,2.0,2.0,0.24,1.0,0.0,0.0,1.0,0.0,6.0,2.0,3.0,2.0,1.0,6.0,0.0,6.0,6.0,6.0,0.0,371.0,7.0,39.0,159.0,178.0,32.0,371.0,183.0,13.0,9.0,4.0,274.0,22.0,16.0,0.0,14.0,15.0,3.0,1.0,0.0,0.0,34.0,36.0,57.0,38.7"
+Antonio Sanabria,py PAR,FW,Torino,24,1996,14.0,12.0,978.0,5.0,1.0,0.0,0.0,2.0,0.0,0.46,0.09,0.55,0.46,0.55,3.3,3.3,0.3,0.3,10.9,11.0,0.0,55.0,1.01,0.25,0.45,0.16,1.7,1.7,195.0,260.0,75.0,2738.0,388.0,112.0,144.0,77.8,53.0,66.0,80.3,14.0,18.0,77.8,7.0,8.0,8.0,1.0,20.0,255.0,5.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,20.0,1.84,17.0,0.0,1.0,2.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,8.0,3.0,0.0,4.0,4.0,5.0,0.0,5.0,5.0,8.0,0.0,364.0,8.0,26.0,184.0,160.0,35.0,364.0,224.0,11.0,12.0,4.0,286.0,29.0,19.0,0.0,17.0,12.0,3.0,0.0,0.0,0.0,24.0,29.0,38.0,43.3
+Alexis Sánchez,cl CHI,FW,Inter,31,1988,30.0,12.0,1146.0,7.0,5.0,0.0,1.0,0.0,0.0,0.55,0.39,0.94,0.55,0.94,6.4,5.6,0.5,0.44,12.7,15.0,4.0,53.6,1.18,0.25,0.47,0.2,0.6,1.4,398.0,515.0,77.3,6577.0,1699.0,194.0,231.0,84.0,118.0,154.0,76.6,56.0,75.0,74.7,33.0,38.0,30.0,3.0,62.0,472.0,37.0,13.0,6.0,7.0,28.0,15.0,1.0,7.0,0.0,0.0,6.0,6.0,79.0,6.2,62.0,9.0,4.0,1.0,14.0,1.1,13.0,0.0,0.0,0.0,0.0,14.0,8.0,4.0,4.0,6.0,11.0,0.0,11.0,7.0,1.0,1.0,664.0,1.0,56.0,267.0,350.0,67.0,663.0,405.0,28.0,20.0,14.0,529.0,41.0,34.0,0.0,19.0,33.0,10.0,0.0,0.0,0.0,53.0,9.0,10.0,47.4
+Alex Sandro,br BRA,DF,Juventus,29,1991,26.0,20.0,1858.0,2.0,1.0,0.0,0.0,2.0,0.0,0.1,0.05,0.15,0.1,0.15,1.6,1.6,0.08,0.08,20.6,3.0,0.0,23.1,0.15,0.15,0.67,0.13,0.4,0.4,1208.0,1421.0,85.0,21302.0,6647.0,512.0,549.0,93.3,550.0,608.0,90.5,117.0,195.0,60.0,17.0,100.0,20.0,11.0,130.0,1290.0,128.0,24.0,0.0,13.0,60.0,0.0,0.0,0.0,0.0,103.0,3.0,22.0,45.0,2.18,38.0,1.0,2.0,2.0,4.0,0.19,4.0,0.0,0.0,0.0,0.0,37.0,23.0,19.0,13.0,5.0,20.0,4.0,16.0,31.0,57.0,0.0,1645.0,108.0,490.0,831.0,335.0,43.0,1645.0,938.0,69.0,44.0,7.0,1160.0,24.0,11.0,0.0,26.0,28.0,0.0,0.0,0.0,1.0,123.0,38.0,23.0,62.3
+Siriki Sanogo,ci CIV,MF,Benevento,18,2001,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,8.0,100.0,105.0,4.0,4.0,4.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,6.0,1.0,0.0,8.0,3.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Nicola Sansone,it ITA,""FW,MF"",Bologna,28,1991,26.0,11.0,1169.0,2.0,2.0,0.0,0.0,2.0,0.0,0.15,0.15,0.31,0.15,0.31,3.9,3.9,0.3,0.3,13.0,13.0,3.0,41.9,1.0,0.06,0.15,0.13,-1.9,-1.9,412.0,533.0,77.3,6110.0,1942.0,246.0,285.0,86.3,121.0,154.0,78.6,26.0,51.0,51.0,31.0,29.0,19.0,5.0,58.0,478.0,52.0,17.0,1.0,2.0,49.0,23.0,8.0,12.0,0.0,8.0,3.0,14.0,61.0,4.7,45.0,7.0,1.0,4.0,3.0,0.23,1.0,1.0,0.0,1.0,0.0,22.0,11.0,7.0,12.0,3.0,15.0,0.0,15.0,9.0,7.0,0.0,717.0,12.0,92.0,308.0,322.0,54.0,717.0,470.0,38.0,19.0,21.0,527.0,37.0,29.0,0.0,23.0,40.0,3.0,0.0,0.0,0.0,68.0,5.0,24.0,17.2"
+Federico Santander,py PAR,FW,Bologna,29,1991,4.0,0.0,37.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.43,2.43,0.0,2.43,0.2,0.2,0.56,0.56,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,13.0,19.0,68.4,162.0,40.0,8.0,11.0,72.7,4.0,5.0,80.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,1.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,9.47,1.0,0.0,2.0,1.0,1.0,2.37,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,0.0,7.0,18.0,11.0,25.0,15.0,0.0,0.0,0.0,21.0,1.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,4.0,3.0,57.1
+Davide Santon,it ITA,DF,Roma,29,1991,10.0,7.0,586.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.15,0.15,0.0,0.15,0.4,0.4,0.06,0.06,6.5,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.4,-0.4,246.0,281.0,87.5,4060.0,1001.0,116.0,122.0,95.1,110.0,120.0,91.7,14.0,29.0,48.3,5.0,9.0,7.0,3.0,19.0,235.0,46.0,4.0,0.0,1.0,16.0,0.0,0.0,0.0,0.0,42.0,0.0,4.0,10.0,1.59,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,10.0,1.0,9.0,4.0,12.0,0.0,338.0,13.0,87.0,152.0,101.0,10.0,338.0,182.0,17.0,12.0,2.0,209.0,7.0,2.0,0.0,11.0,3.0,1.0,0.0,0.0,0.0,27.0,3.0,2.0,60.0
+Samir Santos,br BRA,DF,Udinese,25,1994,30.0,24.0,2216.0,1.0,0.0,0.0,0.0,6.0,0.0,0.04,0.0,0.04,0.04,0.04,1.3,1.3,0.05,0.05,24.6,3.0,0.0,27.3,0.12,0.09,0.33,0.12,-0.3,-0.3,1132.0,1317.0,86.0,18965.0,7117.0,527.0,558.0,94.4,519.0,583.0,89.0,69.0,131.0,52.7,9.0,75.0,5.0,3.0,88.0,1196.0,114.0,42.0,0.0,5.0,18.0,0.0,0.0,0.0,0.0,72.0,7.0,14.0,25.0,1.02,18.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,23.0,26.0,12.0,2.0,33.0,17.0,16.0,58.0,60.0,1.0,1562.0,116.0,642.0,791.0,139.0,22.0,1562.0,896.0,24.0,24.0,1.0,1038.0,11.0,14.0,0.0,39.0,36.0,3.0,0.0,0.0,0.0,97.0,49.0,32.0,60.5
+Riccardo Saponara,it ITA,MF,Fiorentina,28,1991,2.0,0.0,52.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,41.0,90.2,450.0,88.0,18.0,19.0,94.7,11.0,12.0,91.7,1.0,2.0,50.0,1.0,4.0,0.0,0.0,3.0,40.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,3.46,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,47.0,0.0,5.0,25.0,19.0,1.0,47.0,27.0,0.0,4.0,0.0,39.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0
+"Riccardo Saponara,it ITA,""FW,MF"",Spezia,28,1991,9.0,5.0,389.0,2.0,0.0,0.0,0.0,2.0,1.0,0.46,0.0,0.46,0.46,0.46,1.0,1.0,0.23,0.23,4.3,4.0,0.0,40.0,0.93,0.2,0.5,0.1,1.0,1.0,108.0,139.0,77.7,1721.0,537.0,57.0,65.0,87.7,41.0,49.0,83.7,7.0,12.0,58.3,4.0,4.0,6.0,0.0,20.0,135.0,2.0,0.0,0.0,4.0,4.0,1.0,0.0,0.0,0.0,1.0,2.0,4.0,14.0,3.23,7.0,0.0,0.0,4.0,2.0,0.46,0.0,0.0,0.0,2.0,0.0,4.0,1.0,1.0,0.0,3.0,1.0,0.0,1.0,1.0,4.0,0.0,183.0,6.0,32.0,66.0,89.0,20.0,183.0,135.0,17.0,9.0,9.0,146.0,11.0,2.0,1.0,4.0,14.0,2.0,0.0,0.0,0.0,31.0,8.0,6.0,57.1"
+"Marco Sau,it ITA,""MF,FW"",Benevento,32,1987,24.0,9.0,785.0,4.0,2.0,1.0,1.0,1.0,1.0,0.46,0.23,0.69,0.34,0.57,2.4,1.6,0.28,0.19,8.7,5.0,1.0,50.0,0.57,0.3,0.6,0.16,1.6,1.4,182.0,268.0,67.9,2719.0,611.0,94.0,121.0,77.7,65.0,90.0,72.2,14.0,36.0,38.9,19.0,9.0,6.0,1.0,17.0,216.0,51.0,18.0,0.0,0.0,40.0,19.0,5.0,13.0,0.0,0.0,1.0,6.0,32.0,3.67,19.0,9.0,1.0,3.0,4.0,0.46,2.0,1.0,0.0,1.0,0.0,6.0,2.0,0.0,6.0,0.0,7.0,0.0,7.0,5.0,3.0,0.0,357.0,4.0,43.0,160.0,158.0,39.0,356.0,209.0,13.0,11.0,6.0,227.0,29.0,12.0,0.0,8.0,19.0,1.0,1.0,0.0,0.0,37.0,1.0,16.0,5.9"
+Gianluca Scamacca,it ITA,FW,Genoa,21,1999,26.0,13.0,1352.0,8.0,2.0,2.0,2.0,1.0,0.0,0.53,0.13,0.67,0.4,0.53,7.9,6.3,0.52,0.42,15.0,16.0,1.0,35.6,1.07,0.13,0.38,0.14,0.1,-0.3,226.0,349.0,64.8,3532.0,535.0,150.0,202.0,74.3,45.0,74.0,60.8,26.0,35.0,74.3,16.0,11.0,6.0,1.0,18.0,332.0,17.0,0.0,1.0,9.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,30.0,2.0,22.0,0.0,3.0,1.0,3.0,0.2,3.0,0.0,0.0,0.0,0.0,19.0,10.0,6.0,7.0,6.0,21.0,4.0,17.0,9.0,12.0,0.0,526.0,16.0,64.0,228.0,246.0,61.0,524.0,298.0,20.0,11.0,7.0,378.0,43.0,26.0,0.0,32.0,17.0,10.0,0.0,0.0,1.0,54.0,41.0,39.0,51.3
+Nicolás Schiappacasse,uy URU,MF,Sassuolo,21,1999,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,6.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Pasquale Schiattarella,it ITA,MF,Benevento,33,1987,29.0,26.0,2247.0,1.0,1.0,0.0,0.0,13.0,1.0,0.04,0.04,0.08,0.04,0.08,0.7,0.7,0.03,0.03,25.0,6.0,0.0,54.5,0.24,0.09,0.17,0.07,0.3,0.3,1091.0,1353.0,80.6,19050.0,6549.0,471.0,524.0,89.9,461.0,544.0,84.7,108.0,186.0,58.1,25.0,131.0,24.0,2.0,144.0,1250.0,91.0,85.0,3.0,11.0,6.0,0.0,0.0,0.0,0.0,5.0,12.0,18.0,57.0,2.28,47.0,2.0,3.0,1.0,4.0,0.16,3.0,0.0,1.0,0.0,0.0,37.0,22.0,25.0,12.0,0.0,19.0,5.0,14.0,32.0,29.0,2.0,1535.0,65.0,401.0,967.0,182.0,9.0,1535.0,851.0,24.0,21.0,2.0,1011.0,19.0,11.0,0.0,36.0,54.0,1.0,0.0,0.0,0.0,172.0,12.0,8.0,60.0
+Jerdy Schouten,nl NED,MF,Bologna,23,1997,34.0,28.0,2512.0,1.0,1.0,0.0,0.0,8.0,1.0,0.04,0.04,0.07,0.04,0.07,0.2,0.2,0.01,0.01,27.9,4.0,0.0,44.4,0.14,0.11,0.25,0.03,0.8,0.8,1206.0,1395.0,86.5,20951.0,6375.0,528.0,592.0,89.2,515.0,577.0,89.3,121.0,148.0,81.8,23.0,154.0,11.0,1.0,148.0,1366.0,25.0,17.0,4.0,5.0,9.0,0.0,0.0,0.0,0.0,0.0,4.0,10.0,56.0,2.01,49.0,0.0,1.0,2.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,50.0,25.0,23.0,25.0,2.0,36.0,13.0,23.0,79.0,37.0,6.0,1698.0,98.0,457.0,984.0,273.0,3.0,1698.0,900.0,14.0,25.0,2.0,1039.0,35.0,22.0,0.0,48.0,24.0,1.0,0.0,1.0,0.0,249.0,34.0,30.0,53.1
+Matteo Scozzarella,it ITA,MF,Parma,32,1988,3.0,3.0,153.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,84.0,106.0,79.2,1719.0,476.0,27.0,30.0,90.0,41.0,45.0,91.1,16.0,31.0,51.6,6.0,8.0,0.0,0.0,9.0,89.0,17.0,6.0,0.0,1.0,13.0,11.0,5.0,4.0,0.0,0.0,0.0,0.0,11.0,6.51,4.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,3.0,1.0,0.0,3.0,1.0,2.0,6.0,0.0,0.0,124.0,5.0,25.0,73.0,28.0,0.0,124.0,70.0,1.0,0.0,0.0,80.0,1.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
+Simone Scuffet,it ITA,GK,Udinese,24,1996,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,28.0,67.9,707.0,592.0,2.0,2.0,100.0,6.0,6.0,100.0,11.0,20.0,55.0,0.0,0.0,0.0,0.0,0.0,15.0,13.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,27.0,29.0,0.0,0.0,0.0,29.0,15.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,100.0
+Jacopo Segre,it ITA,MF,Torino,23,1997,9.0,1.0,191.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.1,0.1,2.1,1.0,0.0,25.0,0.47,0.0,0.0,0.05,-0.2,-0.2,94.0,106.0,88.7,1700.0,429.0,40.0,42.0,95.2,35.0,41.0,85.4,16.0,17.0,94.1,1.0,9.0,0.0,0.0,4.0,105.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,2.0,6.0,2.83,3.0,0.0,2.0,1.0,2.0,0.94,1.0,0.0,1.0,0.0,0.0,5.0,2.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,127.0,1.0,19.0,91.0,18.0,5.0,127.0,90.0,2.0,1.0,0.0,101.0,1.0,2.0,0.0,2.0,9.0,1.0,0.0,0.0,0.0,10.0,1.0,1.0,50.0
+Léo Sena,br BRA,MF,Spezia,24,1995,16.0,8.0,885.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,9.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,543.0,624.0,87.0,11724.0,3219.0,174.0,193.0,90.2,236.0,261.0,90.4,121.0,144.0,84.0,2.0,113.0,5.0,1.0,92.0,583.0,40.0,38.0,0.0,12.0,12.0,1.0,0.0,0.0,0.0,1.0,1.0,10.0,21.0,2.14,18.0,1.0,0.0,2.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,22.0,12.0,7.0,10.0,5.0,19.0,4.0,15.0,11.0,5.0,0.0,722.0,12.0,114.0,486.0,140.0,2.0,722.0,512.0,30.0,34.0,2.0,536.0,10.0,11.0,0.0,7.0,61.0,0.0,0.0,0.0,0.0,77.0,4.0,11.0,26.7
+Stefano Sensi,it ITA,MF,Inter,24,1995,18.0,4.0,603.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.17,0.17,6.7,7.0,1.0,38.9,1.04,0.0,0.0,0.06,-1.1,-1.1,354.0,432.0,81.9,5867.0,1586.0,174.0,190.0,91.6,134.0,160.0,83.8,33.0,57.0,57.9,11.0,40.0,11.0,2.0,58.0,387.0,43.0,11.0,0.0,1.0,34.0,26.0,7.0,9.0,0.0,5.0,2.0,5.0,34.0,5.07,26.0,4.0,3.0,0.0,4.0,0.6,0.0,2.0,2.0,0.0,0.0,9.0,6.0,3.0,5.0,1.0,6.0,1.0,5.0,7.0,1.0,0.0,504.0,6.0,78.0,226.0,207.0,13.0,504.0,298.0,12.0,13.0,2.0,380.0,15.0,5.0,0.0,10.0,14.0,0.0,0.0,0.0,0.0,49.0,2.0,2.0,50.0
+Luigi Sepe,it ITA,GK,Parma,29,1991,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1147.0,1445.0,79.4,34233.0,26869.0,214.0,218.0,98.2,468.0,474.0,98.7,457.0,739.0,61.8,0.0,33.0,0.0,0.0,1.0,1058.0,381.0,107.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,0.08,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,13.0,2.0,1508.0,1291.0,1497.0,12.0,0.0,0.0,1508.0,845.0,0.0,0.0,0.0,718.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,34.0,3.0,2.0,60.0
+"Stephan El Shaarawy,it ITA,""MF,FW"",Roma,27,1992,10.0,6.0,572.0,1.0,1.0,0.0,0.0,1.0,0.0,0.16,0.16,0.31,0.16,0.31,1.3,1.3,0.21,0.21,6.4,7.0,0.0,43.8,1.1,0.06,0.14,0.08,-0.3,-0.3,186.0,240.0,77.5,3004.0,543.0,96.0,119.0,80.7,71.0,83.0,85.5,13.0,17.0,76.5,17.0,9.0,11.0,3.0,22.0,234.0,6.0,2.0,2.0,2.0,10.0,0.0,0.0,0.0,0.0,4.0,0.0,9.0,30.0,4.72,24.0,0.0,1.0,2.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,4.0,3.0,0.0,3.0,1.0,3.0,1.0,2.0,3.0,2.0,0.0,306.0,3.0,34.0,112.0,165.0,35.0,306.0,201.0,27.0,17.0,10.0,238.0,13.0,4.0,0.0,8.0,9.0,1.0,0.0,0.0,0.0,19.0,2.0,6.0,25.0"
+Eldor Shomurodov,uz UZB,FW,Genoa,25,1995,31.0,16.0,1677.0,8.0,1.0,0.0,0.0,1.0,0.0,0.43,0.05,0.48,0.43,0.48,5.7,5.7,0.31,0.31,18.6,17.0,0.0,43.6,0.91,0.21,0.47,0.15,2.3,2.3,329.0,483.0,68.1,4089.0,754.0,202.0,258.0,78.3,78.0,117.0,66.7,12.0,20.0,60.0,20.0,17.0,9.0,2.0,32.0,469.0,13.0,0.0,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,1.0,22.0,48.0,2.58,32.0,0.0,8.0,2.0,6.0,0.32,4.0,0.0,1.0,0.0,0.0,28.0,14.0,7.0,13.0,8.0,17.0,2.0,15.0,6.0,11.0,0.0,718.0,15.0,69.0,329.0,334.0,81.0,718.0,408.0,33.0,19.0,11.0,540.0,76.0,30.0,0.0,39.0,21.0,11.0,0.0,0.0,0.0,59.0,46.0,79.0,36.8
+"Luca Siligardi,it ITA,""MF,FW"",Crotone,32,1988,4.0,0.0,49.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.16,0.16,0.5,1.0,0.0,50.0,1.84,0.0,0.0,0.04,-0.1,-0.1,15.0,20.0,75.0,261.0,68.0,6.0,8.0,75.0,7.0,8.0,87.5,1.0,2.0,50.0,2.0,3.0,1.0,0.0,4.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,9.57,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,0.0,0.0,13.0,19.0,2.0,30.0,17.0,0.0,2.0,0.0,22.0,2.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0"
+"Luca Siligardi,it ITA,""FW,MF"",Parma,32,1988,2.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,19.0,57.9,153.0,38.0,8.0,9.0,88.9,3.0,3.0,100.0,0.0,2.0,0.0,2.0,0.0,1.0,1.0,1.0,17.0,2.0,1.0,0.0,0.0,5.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,3.0,7.94,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,5.0,17.0,3.0,22.0,11.0,0.0,0.0,0.0,14.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0"
+Adrien Silva,pt POR,MF,Sampdoria,31,1989,24.0,18.0,1599.0,1.0,1.0,0.0,0.0,8.0,1.0,0.06,0.06,0.11,0.06,0.11,0.5,0.5,0.03,0.03,17.8,1.0,0.0,16.7,0.06,0.17,1.0,0.08,0.5,0.5,822.0,948.0,86.7,15307.0,4370.0,350.0,400.0,87.5,318.0,352.0,90.3,130.0,152.0,85.5,11.0,92.0,7.0,1.0,94.0,898.0,48.0,44.0,0.0,22.0,9.0,3.0,1.0,0.0,0.0,1.0,2.0,6.0,32.0,1.8,29.0,2.0,0.0,0.0,3.0,0.17,2.0,1.0,0.0,0.0,0.0,49.0,22.0,21.0,22.0,6.0,34.0,1.0,33.0,30.0,10.0,1.0,1122.0,36.0,246.0,724.0,167.0,5.0,1122.0,578.0,8.0,13.0,1.0,711.0,21.0,17.0,1.0,35.0,23.0,0.0,0.0,2.0,0.0,142.0,19.0,15.0,55.9
+Marco Silvestri,it ITA,GK,Hellas Verona,29,1991,34.0,34.0,3060.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,440.0,963.0,45.7,16170.0,14614.0,60.0,60.0,100.0,141.0,144.0,97.9,239.0,753.0,31.7,0.0,19.0,0.0,0.0,0.0,625.0,335.0,69.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,0.03,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,1.0,1045.0,899.0,1043.0,2.0,0.0,0.0,1045.0,482.0,0.0,0.0,0.0,382.0,0.0,0.0,0.0,2.0,3.0,0.0,0.0,2.0,1.0,61.0,7.0,3.0,70.0
+Giovanni Simeone,ar ARG,FW,Cagliari,25,1995,33.0,19.0,1740.0,6.0,2.0,0.0,0.0,1.0,0.0,0.31,0.1,0.41,0.31,0.41,7.7,7.7,0.4,0.4,19.3,13.0,0.0,30.2,0.67,0.14,0.46,0.18,-1.7,-1.7,255.0,346.0,73.7,3452.0,361.0,153.0,194.0,78.9,79.0,99.0,79.8,5.0,12.0,41.7,12.0,7.0,3.0,1.0,13.0,296.0,49.0,1.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,1.0,14.0,32.0,1.66,21.0,0.0,4.0,3.0,5.0,0.26,4.0,0.0,1.0,0.0,0.0,24.0,11.0,2.0,15.0,7.0,23.0,1.0,22.0,10.0,18.0,0.0,574.0,23.0,61.0,272.0,250.0,77.0,574.0,285.0,25.0,17.0,10.0,352.0,57.0,22.0,0.0,24.0,25.0,18.0,0.0,0.0,0.0,55.0,29.0,66.0,30.5
+Wilfried Singo,ci CIV,DF,Torino,19,2000,28.0,20.0,1854.0,1.0,2.0,0.0,0.0,4.0,1.0,0.05,0.1,0.15,0.05,0.15,1.2,1.2,0.06,0.06,20.6,1.0,0.0,10.0,0.05,0.1,1.0,0.12,-0.2,-0.2,723.0,963.0,75.1,10923.0,3562.0,406.0,452.0,89.8,254.0,349.0,72.8,44.0,104.0,42.3,24.0,35.0,20.0,11.0,62.0,778.0,185.0,16.0,0.0,5.0,79.0,0.0,0.0,0.0,0.0,169.0,0.0,19.0,41.0,1.99,31.0,2.0,2.0,4.0,4.0,0.19,3.0,0.0,0.0,1.0,0.0,29.0,14.0,16.0,6.0,7.0,13.0,3.0,10.0,29.0,40.0,0.0,1205.0,62.0,303.0,548.0,382.0,29.0,1205.0,658.0,73.0,48.0,12.0,686.0,41.0,14.0,1.0,27.0,50.0,2.0,1.0,0.0,0.0,129.0,50.0,26.0,65.8
+Salvatore Sirigu,it ITA,GK,Torino,33,1987,32.0,32.0,2880.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,711.0,1006.0,70.7,19538.0,14210.0,174.0,175.0,99.4,273.0,283.0,96.5,256.0,537.0,47.7,0.0,17.0,0.0,0.0,0.0,615.0,390.0,119.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,3.0,0.09,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,1073.0,884.0,1066.0,8.0,0.0,0.0,1073.0,515.0,0.0,0.0,0.0,420.0,2.0,0.0,0.0,1.0,3.0,0.0,0.0,1.0,0.0,42.0,4.0,1.0,80.0
+Łukasz Skorupski,pl POL,GK,Bologna,29,1991,28.0,28.0,2520.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,747.0,959.0,77.9,16949.0,11831.0,198.0,200.0,99.0,329.0,337.0,97.6,172.0,367.0,46.9,0.0,3.0,0.0,0.0,0.0,675.0,280.0,49.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,5.0,1047.0,954.0,1045.0,2.0,0.0,0.0,1047.0,570.0,0.0,0.0,0.0,434.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,37.0,6.0,1.0,85.7
+"Andreas Skov Olsen,dk DEN,""FW,DF"",Bologna,20,1999,26.0,12.0,1179.0,2.0,3.0,0.0,0.0,1.0,0.0,0.15,0.23,0.38,0.15,0.38,4.1,4.1,0.31,0.31,13.1,10.0,2.0,33.3,0.76,0.07,0.2,0.14,-2.1,-2.1,407.0,546.0,74.5,5984.0,1534.0,231.0,263.0,87.8,127.0,172.0,73.8,25.0,61.0,41.0,20.0,12.0,10.0,5.0,29.0,505.0,38.0,6.0,0.0,5.0,66.0,26.0,18.0,2.0,0.0,5.0,3.0,12.0,40.0,3.05,30.0,6.0,0.0,1.0,2.0,0.15,2.0,0.0,0.0,0.0,0.0,19.0,10.0,11.0,4.0,4.0,15.0,0.0,15.0,3.0,25.0,0.0,710.0,21.0,122.0,243.0,351.0,57.0,710.0,405.0,61.0,26.0,24.0,499.0,30.0,9.0,0.0,12.0,12.0,2.0,0.0,0.0,0.0,58.0,9.0,10.0,47.4"
+Milan Škriniar,sk SVK,DF,Inter,25,1995,32.0,31.0,2777.0,3.0,0.0,0.0,0.0,1.0,0.0,0.1,0.0,0.1,0.1,0.1,2.3,2.3,0.07,0.07,30.9,6.0,0.0,40.0,0.19,0.2,0.5,0.15,0.7,0.7,2009.0,2182.0,92.1,35415.0,10388.0,844.0,881.0,95.8,983.0,1039.0,94.6,158.0,214.0,73.8,9.0,133.0,10.0,0.0,143.0,2103.0,77.0,59.0,0.0,19.0,4.0,0.0,0.0,0.0,0.0,16.0,2.0,13.0,25.0,0.81,21.0,0.0,3.0,1.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,48.0,32.0,29.0,16.0,3.0,30.0,19.0,11.0,30.0,89.0,1.0,2452.0,246.0,1048.0,1214.0,198.0,27.0,2452.0,1428.0,46.0,30.0,1.0,1862.0,18.0,13.0,0.0,34.0,27.0,0.0,0.0,0.0,0.0,163.0,32.0,43.0,42.7
+Chris Smalling,eng ENG,DF,Roma,30,1989,16.0,13.0,1111.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.5,0.5,0.04,0.04,12.3,1.0,0.0,14.3,0.08,0.0,0.0,0.07,-0.5,-0.5,620.0,684.0,90.6,12325.0,4078.0,163.0,175.0,93.1,377.0,393.0,95.9,68.0,96.0,70.8,2.0,16.0,0.0,0.0,20.0,661.0,23.0,18.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,5.0,0.41,4.0,0.0,0.0,0.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,7.0,2.0,17.0,11.0,6.0,28.0,46.0,1.0,806.0,98.0,424.0,361.0,24.0,15.0,806.0,412.0,0.0,2.0,0.0,521.0,8.0,4.0,0.0,13.0,8.0,1.0,0.0,0.0,0.0,67.0,25.0,13.0,65.8
+Simon Sohm,ch SUI,MF,Parma,19,2001,18.0,8.0,899.0,1.0,0.0,0.0,0.0,1.0,0.0,0.1,0.0,0.1,0.1,0.1,0.6,0.6,0.06,0.06,10.0,1.0,0.0,20.0,0.1,0.2,1.0,0.12,0.4,0.4,354.0,424.0,83.5,5966.0,1323.0,150.0,173.0,86.7,165.0,185.0,89.2,26.0,42.0,61.9,4.0,31.0,2.0,0.0,33.0,417.0,6.0,3.0,0.0,4.0,4.0,3.0,2.0,0.0,0.0,0.0,1.0,5.0,11.0,1.1,7.0,0.0,0.0,0.0,1.0,0.1,0.0,0.0,0.0,0.0,0.0,18.0,12.0,11.0,6.0,1.0,8.0,0.0,8.0,5.0,7.0,0.0,502.0,12.0,127.0,298.0,81.0,5.0,502.0,287.0,13.0,11.0,2.0,374.0,12.0,14.0,0.0,8.0,4.0,2.0,0.0,0.0,0.0,47.0,9.0,7.0,56.3
+Roberto Soriano,it ITA,MF,Bologna,29,1991,37.0,37.0,3250.0,9.0,6.0,0.0,0.0,5.0,0.0,0.25,0.17,0.42,0.25,0.42,6.9,6.9,0.19,0.19,36.1,19.0,0.0,31.1,0.53,0.15,0.47,0.11,2.1,2.1,1222.0,1507.0,81.1,17944.0,6045.0,693.0,805.0,86.1,396.0,459.0,86.3,71.0,103.0,68.9,52.0,155.0,46.0,3.0,199.0,1475.0,23.0,11.0,5.0,6.0,34.0,0.0,0.0,0.0,0.0,8.0,9.0,38.0,110.0,3.05,93.0,0.0,5.0,7.0,14.0,0.39,10.0,0.0,2.0,1.0,1.0,48.0,26.0,15.0,20.0,13.0,31.0,8.0,23.0,18.0,43.0,0.0,1865.0,58.0,265.0,980.0,645.0,94.0,1865.0,1171.0,80.0,64.0,7.0,1431.0,64.0,31.0,0.0,75.0,49.0,3.0,2.0,0.0,0.0,184.0,34.0,58.0,37.0
+"Riccardo Sottil,it ITA,""FW,MF"",Cagliari,21,1999,21.0,12.0,1184.0,2.0,1.0,0.0,0.0,3.0,0.0,0.15,0.08,0.23,0.15,0.23,1.5,1.5,0.12,0.12,13.2,9.0,0.0,36.0,0.68,0.08,0.22,0.06,0.5,0.5,281.0,382.0,73.6,4702.0,973.0,139.0,173.0,80.3,108.0,140.0,77.1,24.0,40.0,60.0,16.0,19.0,18.0,4.0,47.0,367.0,14.0,1.0,0.0,6.0,43.0,11.0,2.0,6.0,0.0,1.0,1.0,11.0,40.0,3.04,29.0,1.0,4.0,3.0,4.0,0.3,3.0,0.0,1.0,0.0,0.0,7.0,3.0,2.0,3.0,2.0,4.0,0.0,4.0,5.0,3.0,0.0,515.0,3.0,50.0,204.0,285.0,49.0,515.0,374.0,77.0,53.0,21.0,380.0,29.0,22.0,0.0,17.0,35.0,1.0,0.0,0.0,0.0,82.0,3.0,12.0,20.0"
+Adama Soumaoro,fr FRA,DF,Bologna,28,1992,20.0,19.0,1755.0,1.0,0.0,0.0,0.0,4.0,0.0,0.05,0.0,0.05,0.05,0.05,1.4,1.4,0.07,0.07,19.5,2.0,0.0,25.0,0.1,0.13,0.5,0.17,-0.4,-0.4,822.0,925.0,88.9,14538.0,4983.0,337.0,375.0,89.9,415.0,448.0,92.6,61.0,77.0,79.2,3.0,21.0,0.0,0.0,51.0,853.0,71.0,67.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,5.0,12.0,0.62,11.0,0.0,0.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,24.0,14.0,17.0,7.0,0.0,28.0,23.0,5.0,20.0,72.0,0.0,1114.0,152.0,570.0,521.0,30.0,11.0,1114.0,531.0,12.0,6.0,0.0,625.0,7.0,2.0,0.0,33.0,19.0,0.0,0.0,3.0,0.0,111.0,60.0,15.0,80.0
+Leonardo Spinazzola,it ITA,DF,Roma,27,1993,27.0,25.0,2124.0,2.0,4.0,0.0,0.0,0.0,0.0,0.08,0.17,0.25,0.08,0.25,1.7,1.7,0.08,0.08,23.6,6.0,0.0,27.3,0.25,0.09,0.33,0.09,0.3,0.3,957.0,1227.0,78.0,16192.0,4598.0,485.0,569.0,85.2,358.0,431.0,83.1,93.0,157.0,59.2,33.0,74.0,45.0,21.0,105.0,1079.0,145.0,12.0,2.0,13.0,103.0,0.0,0.0,0.0,0.0,133.0,3.0,33.0,71.0,3.14,55.0,2.0,1.0,1.0,9.0,0.4,8.0,0.0,0.0,0.0,0.0,12.0,6.0,3.0,9.0,0.0,16.0,1.0,15.0,25.0,31.0,0.0,1473.0,52.0,308.0,609.0,583.0,70.0,1473.0,872.0,147.0,86.0,33.0,967.0,30.0,8.0,0.0,8.0,11.0,2.0,0.0,0.0,1.0,107.0,10.0,1.0,90.9
+Marco Sportiello,it ITA,GK,Atalanta,28,1992,15.0,13.0,1261.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,315.0,376.0,83.8,8191.0,5344.0,64.0,64.0,100.0,160.0,160.0,100.0,89.0,149.0,59.7,0.0,2.0,0.0,0.0,0.0,295.0,80.0,23.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,5.0,1.0,403.0,319.0,402.0,1.0,0.0,0.0,403.0,248.0,0.0,0.0,0.0,190.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,29.0,5.0,1.0,83.3
+"Mattia Sprocati,it ITA,""MF,FW"",Parma,27,1993,1.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,48.0,4.0,3.0,3.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,6.0,0.0,1.0,4.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0"
+Thomas Strakosha,al ALB,GK,Lazio,25,1995,9.0,9.0,810.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,294.0,344.0,85.5,7185.0,5564.0,81.0,81.0,100.0,124.0,127.0,97.6,85.0,132.0,64.4,0.0,4.0,0.0,0.0,0.0,279.0,65.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,368.0,302.0,364.0,4.0,0.0,0.0,368.0,255.0,0.0,0.0,0.0,203.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,14.0,3.0,0.0,100.0
+Kevin Strootman,nl NED,MF,Genoa,30,1990,18.0,18.0,1314.0,0.0,4.0,0.0,0.0,7.0,0.0,0.0,0.27,0.27,0.0,0.27,0.5,0.5,0.04,0.04,14.6,2.0,0.0,33.3,0.14,0.0,0.0,0.09,-0.5,-0.5,683.0,849.0,80.4,10853.0,3015.0,354.0,402.0,88.1,256.0,298.0,85.9,53.0,98.0,54.1,23.0,61.0,17.0,4.0,78.0,781.0,61.0,32.0,2.0,2.0,39.0,18.0,5.0,7.0,0.0,11.0,7.0,13.0,36.0,2.47,32.0,3.0,0.0,0.0,4.0,0.27,3.0,0.0,0.0,0.0,1.0,30.0,18.0,13.0,15.0,2.0,35.0,3.0,32.0,25.0,18.0,0.0,1003.0,24.0,199.0,618.0,196.0,13.0,1003.0,590.0,15.0,15.0,3.0,675.0,16.0,10.0,0.0,25.0,13.0,1.0,0.0,0.0,0.0,89.0,15.0,15.0,50.0
+Jens Stryger Larsen,dk DEN,DF,Udinese,29,1991,33.0,30.0,2638.0,2.0,0.0,0.0,0.0,0.0,0.0,0.07,0.0,0.07,0.07,0.07,3.0,3.0,0.1,0.1,29.3,12.0,0.0,52.2,0.41,0.09,0.17,0.13,-1.0,-1.0,1022.0,1314.0,77.8,15641.0,6484.0,591.0,657.0,90.0,334.0,437.0,76.4,67.0,149.0,45.0,10.0,78.0,20.0,5.0,107.0,1120.0,191.0,10.0,1.0,3.0,60.0,1.0,0.0,1.0,0.0,180.0,3.0,26.0,33.0,1.13,27.0,0.0,1.0,1.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,17.0,11.0,14.0,3.0,0.0,26.0,11.0,15.0,24.0,65.0,0.0,1548.0,103.0,463.0,682.0,408.0,31.0,1548.0,873.0,43.0,25.0,2.0,975.0,32.0,19.0,0.0,12.0,13.0,4.0,0.0,1.0,0.0,131.0,22.0,32.0,40.7
+Stefano Sturaro,it ITA,MF,Hellas Verona,27,1993,10.0,4.0,423.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.7,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,137.0,183.0,74.9,2385.0,565.0,65.0,81.0,80.2,54.0,67.0,80.6,14.0,21.0,66.7,0.0,10.0,3.0,1.0,11.0,171.0,12.0,7.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,5.0,0.0,5.0,5.0,1.06,4.0,0.0,1.0,0.0,1.0,0.21,1.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,0.0,1.0,5.0,1.0,4.0,5.0,10.0,0.0,224.0,10.0,57.0,125.0,44.0,4.0,224.0,118.0,3.0,3.0,0.0,135.0,4.0,6.0,0.0,17.0,6.0,0.0,0.0,0.0,0.0,16.0,7.0,8.0,46.7
+Stefano Sturaro,it ITA,MF,Genoa,27,1993,6.0,6.0,445.0,1.0,0.0,0.0,0.0,1.0,0.0,0.2,0.0,0.2,0.2,0.2,0.6,0.6,0.13,0.13,4.9,2.0,2.0,40.0,0.4,0.2,0.5,0.13,0.4,0.4,165.0,236.0,69.9,3031.0,705.0,69.0,89.0,77.5,70.0,88.0,79.5,21.0,41.0,51.2,4.0,9.0,2.0,1.0,24.0,203.0,33.0,13.0,0.0,3.0,22.0,14.0,5.0,7.0,0.0,2.0,0.0,7.0,8.0,1.62,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,3.0,6.0,2.0,5.0,0.0,5.0,7.0,2.0,0.0,295.0,3.0,45.0,172.0,79.0,4.0,295.0,131.0,2.0,6.0,0.0,175.0,16.0,8.0,0.0,14.0,12.0,2.0,0.0,0.0,0.0,33.0,7.0,12.0,36.8
+Bosko Sutalo,hr CRO,DF,Atalanta,20,2000,7.0,3.0,233.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,128.0,165.0,77.6,1813.0,671.0,82.0,97.0,84.5,36.0,47.0,76.6,7.0,8.0,87.5,2.0,7.0,0.0,0.0,10.0,154.0,11.0,4.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,7.0,0.0,8.0,4.0,1.55,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,5.0,0.0,3.0,2.0,2.0,1.0,1.0,2.0,7.0,1.0,194.0,7.0,69.0,91.0,37.0,4.0,194.0,86.0,6.0,3.0,0.0,119.0,3.0,1.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,21.0,12.0,8.0,60.0
+Mattias Svanberg,se SWE,MF,Bologna,21,1999,34.0,24.0,1852.0,5.0,2.0,0.0,0.0,8.0,1.0,0.24,0.1,0.34,0.24,0.34,4.6,4.6,0.22,0.22,20.6,17.0,1.0,29.3,0.83,0.09,0.29,0.08,0.4,0.4,512.0,653.0,78.4,8602.0,2821.0,245.0,293.0,83.6,212.0,248.0,85.5,40.0,59.0,67.8,15.0,51.0,18.0,0.0,88.0,633.0,16.0,8.0,6.0,7.0,6.0,0.0,0.0,0.0,0.0,0.0,4.0,21.0,49.0,2.38,34.0,1.0,5.0,3.0,6.0,0.29,5.0,0.0,0.0,0.0,0.0,38.0,17.0,21.0,9.0,8.0,25.0,4.0,21.0,30.0,25.0,1.0,903.0,43.0,213.0,467.0,243.0,24.0,903.0,494.0,32.0,26.0,3.0,562.0,24.0,18.0,1.0,46.0,44.0,0.0,0.0,0.0,0.0,109.0,20.0,16.0,55.6
+Wojciech Szczęsny,pl POL,GK,Juventus,30,1990,30.0,30.0,2677.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,29.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,919.0,1016.0,90.5,21589.0,13534.0,214.0,214.0,100.0,482.0,489.0,98.6,221.0,307.0,72.0,1.0,5.0,0.0,0.0,1.0,800.0,215.0,36.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,3.0,0.1,3.0,0.0,0.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,3.0,5.0,1.0,1076.0,881.0,1067.0,9.0,0.0,0.0,1076.0,618.0,0.0,1.0,1.0,595.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,59.0,7.0,0.0,100.0
+Adrien Tameze,cm CMR,MF,Hellas Verona,26,1994,33.0,28.0,2304.0,1.0,0.0,0.0,0.0,6.0,0.0,0.04,0.0,0.04,0.04,0.04,1.2,1.2,0.05,0.05,25.6,3.0,0.0,16.7,0.12,0.06,0.33,0.07,-0.2,-0.2,802.0,1014.0,79.1,14073.0,3190.0,359.0,426.0,84.3,332.0,394.0,84.3,87.0,127.0,68.5,11.0,71.0,18.0,2.0,101.0,971.0,35.0,28.0,1.0,6.0,15.0,0.0,0.0,0.0,0.0,5.0,8.0,12.0,34.0,1.37,26.0,0.0,1.0,2.0,4.0,0.16,2.0,0.0,0.0,0.0,1.0,39.0,25.0,23.0,15.0,1.0,31.0,8.0,23.0,32.0,46.0,2.0,1277.0,53.0,279.0,748.0,272.0,17.0,1277.0,639.0,33.0,19.0,1.0,721.0,39.0,28.0,0.0,35.0,29.0,2.0,0.0,1.0,0.0,188.0,44.0,48.0,47.8
+Ciprian Tătărușanu,ro ROU,GK,Milan,34,1986,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,26.0,92.3,465.0,326.0,7.0,7.0,100.0,14.0,14.0,100.0,3.0,5.0,60.0,0.0,0.0,0.0,0.0,0.0,22.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,30.0,26.0,30.0,0.0,0.0,0.0,30.0,16.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Andrés Tello,co COL,""DF,MF"",Benevento,23,1996,17.0,2.0,413.0,1.0,0.0,0.0,0.0,3.0,0.0,0.22,0.0,0.22,0.22,0.22,0.3,0.3,0.07,0.07,4.6,3.0,0.0,42.9,0.65,0.14,0.33,0.04,0.7,0.7,133.0,191.0,69.6,2095.0,760.0,70.0,81.0,86.4,47.0,72.0,65.3,10.0,22.0,45.5,1.0,12.0,3.0,0.0,20.0,172.0,17.0,2.0,0.0,2.0,10.0,2.0,0.0,1.0,0.0,13.0,2.0,5.0,3.0,0.65,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,8.0,0.0,1.0,8.0,1.0,7.0,6.0,6.0,0.0,255.0,17.0,76.0,103.0,79.0,12.0,255.0,107.0,12.0,4.0,2.0,140.0,9.0,3.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,35.0,10.0,10.0,50.0"
+Hidde ter Avest,nl NED,DF,Udinese,23,1997,6.0,4.0,351.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,148.0,205.0,72.2,2306.0,1090.0,82.0,98.0,83.7,54.0,77.0,70.1,10.0,20.0,50.0,0.0,14.0,0.0,0.0,18.0,174.0,28.0,1.0,1.0,0.0,16.0,0.0,0.0,0.0,0.0,27.0,3.0,4.0,4.0,1.03,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,2.0,0.0,3.0,1.0,2.0,2.0,5.0,0.0,233.0,5.0,55.0,97.0,81.0,3.0,233.0,129.0,7.0,4.0,1.0,151.0,7.0,0.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,19.0,1.0,2.0,33.3
+Pietro Terracciano,it ITA,GK,Fiorentina,30,1990,4.0,2.0,272.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,49.0,88.0,55.7,2195.0,1879.0,1.0,1.0,100.0,10.0,10.0,100.0,38.0,77.0,49.4,0.0,4.0,0.0,0.0,0.0,40.0,48.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,96.0,80.0,95.0,1.0,0.0,0.0,96.0,36.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Claudio Terzi,it ITA,DF,Spezia,36,1984,25.0,22.0,1869.0,1.0,1.0,0.0,0.0,9.0,1.0,0.05,0.05,0.1,0.05,0.1,0.4,0.4,0.02,0.02,20.8,2.0,0.0,40.0,0.1,0.2,0.5,0.09,0.6,0.6,1125.0,1348.0,83.5,24797.0,9399.0,349.0,371.0,94.1,527.0,584.0,90.2,238.0,349.0,68.2,5.0,109.0,5.0,0.0,83.0,1247.0,86.0,83.0,0.0,32.0,4.0,0.0,0.0,0.0,0.0,3.0,15.0,9.0,13.0,0.63,10.0,1.0,1.0,0.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,34.0,21.0,19.0,14.0,1.0,23.0,12.0,11.0,35.0,55.0,1.0,1515.0,119.0,700.0,765.0,61.0,10.0,1515.0,943.0,20.0,18.0,0.0,1007.0,5.0,3.0,1.0,24.0,16.0,2.0,0.0,2.0,0.0,112.0,35.0,35.0,50.0
+Morten Thorsby,no NOR,MF,Sampdoria,24,1996,33.0,29.0,2648.0,3.0,1.0,0.0,0.0,10.0,0.0,0.1,0.03,0.14,0.1,0.14,2.9,2.9,0.1,0.1,29.4,9.0,0.0,39.1,0.31,0.13,0.33,0.12,0.1,0.1,737.0,986.0,74.7,10152.0,3497.0,443.0,534.0,83.0,225.0,305.0,73.8,29.0,54.0,53.7,18.0,57.0,5.0,1.0,80.0,960.0,23.0,9.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,14.0,3.0,19.0,45.0,1.53,37.0,0.0,3.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,76.0,42.0,32.0,36.0,8.0,51.0,16.0,35.0,25.0,30.0,0.0,1313.0,68.0,317.0,721.0,288.0,63.0,1313.0,520.0,19.0,16.0,4.0,745.0,39.0,16.0,0.0,72.0,24.0,2.0,0.0,2.0,0.0,145.0,153.0,111.0,58.0
+Jeremy Toljan,de GER,DF,Sassuolo,25,1994,26.0,18.0,1490.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.12,0.12,0.0,0.12,0.2,0.2,0.01,0.01,16.6,1.0,0.0,20.0,0.06,0.0,0.0,0.05,-0.2,-0.2,791.0,896.0,88.3,11513.0,2922.0,479.0,506.0,94.7,250.0,282.0,88.7,41.0,67.0,61.2,14.0,50.0,20.0,7.0,67.0,772.0,123.0,20.0,0.0,5.0,30.0,0.0,0.0,0.0,0.0,103.0,1.0,14.0,28.0,1.69,26.0,0.0,1.0,0.0,2.0,0.12,1.0,0.0,1.0,0.0,0.0,21.0,12.0,16.0,3.0,2.0,15.0,7.0,8.0,13.0,28.0,0.0,1031.0,65.0,288.0,479.0,274.0,28.0,1031.0,556.0,32.0,19.0,5.0,680.0,26.0,6.0,0.0,24.0,14.0,4.0,0.0,0.0,0.0,83.0,4.0,9.0,30.8
+Rafael Tolói,it ITA,DF,Atalanta,29,1990,31.0,29.0,2537.0,2.0,0.0,0.0,0.0,9.0,0.0,0.07,0.0,0.07,0.07,0.07,3.3,3.3,0.12,0.12,28.2,8.0,0.0,27.6,0.28,0.07,0.25,0.11,-1.3,-1.3,1394.0,1698.0,82.1,24390.0,8805.0,669.0,718.0,93.2,564.0,662.0,85.2,140.0,243.0,57.6,15.0,160.0,18.0,5.0,157.0,1606.0,88.0,37.0,1.0,15.0,30.0,0.0,0.0,0.0,0.0,51.0,4.0,36.0,45.0,1.6,37.0,1.0,2.0,2.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,51.0,23.0,21.0,26.0,4.0,37.0,7.0,30.0,33.0,66.0,0.0,1959.0,103.0,616.0,990.0,374.0,52.0,1959.0,1092.0,40.0,36.0,3.0,1317.0,22.0,13.0,0.0,38.0,15.0,1.0,0.0,2.0,0.0,190.0,46.0,28.0,62.2
+Takehiro Tomiyasu,jp JPN,DF,Bologna,21,1998,31.0,31.0,2715.0,2.0,0.0,0.0,0.0,4.0,0.0,0.07,0.0,0.07,0.07,0.07,2.1,2.1,0.07,0.07,30.2,4.0,0.0,25.0,0.13,0.13,0.5,0.13,-0.1,-0.1,1366.0,1677.0,81.5,24350.0,9450.0,591.0,671.0,88.1,614.0,727.0,84.5,138.0,221.0,62.4,8.0,130.0,10.0,5.0,150.0,1481.0,191.0,47.0,0.0,6.0,23.0,0.0,0.0,0.0,0.0,139.0,5.0,24.0,38.0,1.26,32.0,4.0,0.0,2.0,5.0,0.17,4.0,1.0,0.0,0.0,0.0,47.0,31.0,27.0,14.0,6.0,37.0,19.0,18.0,54.0,106.0,0.0,2015.0,166.0,751.0,1029.0,255.0,23.0,2015.0,1087.0,56.0,39.0,2.0,1175.0,30.0,10.0,0.0,31.0,13.0,2.0,0.0,0.0,1.0,155.0,91.0,64.0,58.7
+Fikayo Tomori,eng ENG,DF,Milan,22,1997,17.0,16.0,1466.0,1.0,0.0,0.0,0.0,0.0,0.0,0.06,0.0,0.06,0.06,0.06,0.8,0.8,0.05,0.05,16.3,4.0,0.0,80.0,0.25,0.2,0.25,0.15,0.2,0.2,810.0,918.0,88.2,15148.0,5662.0,290.0,315.0,92.1,425.0,452.0,94.0,80.0,120.0,66.7,0.0,32.0,0.0,0.0,41.0,872.0,42.0,23.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,2.0,4.0,7.0,5.0,0.31,5.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,28.0,18.0,17.0,9.0,2.0,32.0,20.0,12.0,18.0,61.0,1.0,1082.0,139.0,595.0,462.0,35.0,9.0,1082.0,605.0,4.0,7.0,0.0,699.0,8.0,2.0,0.0,14.0,1.0,0.0,0.0,0.0,0.0,99.0,30.0,26.0,53.6
+Sandro Tonali,it ITA,MF,Milan,20,2000,25.0,17.0,1330.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.03,0.03,14.8,3.0,1.0,30.0,0.2,0.0,0.0,0.04,-0.4,-0.4,630.0,772.0,81.6,10959.0,3255.0,282.0,326.0,86.5,267.0,304.0,87.8,64.0,98.0,65.3,16.0,66.0,14.0,1.0,84.0,734.0,34.0,19.0,0.0,5.0,26.0,12.0,7.0,4.0,0.0,3.0,4.0,15.0,36.0,2.44,26.0,7.0,0.0,2.0,2.0,0.14,2.0,0.0,0.0,0.0,0.0,28.0,19.0,14.0,13.0,1.0,18.0,5.0,13.0,22.0,18.0,0.0,907.0,37.0,238.0,490.0,190.0,9.0,907.0,467.0,22.0,23.0,3.0,590.0,15.0,8.0,0.0,18.0,17.0,0.0,0.0,0.0,0.0,99.0,6.0,9.0,40.0
+Lorenzo Tonelli,it ITA,DF,Sampdoria,30,1990,23.0,21.0,1782.0,1.0,0.0,0.0,0.0,11.0,0.0,0.05,0.0,0.05,0.05,0.05,2.0,2.0,0.1,0.1,19.8,2.0,0.0,15.4,0.1,0.08,0.5,0.16,-1.0,-1.0,742.0,913.0,81.3,15266.0,4824.0,226.0,256.0,88.3,395.0,447.0,88.4,110.0,183.0,60.1,0.0,22.0,0.0,0.0,42.0,839.0,72.0,66.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,4.0,5.0,0.25,2.0,0.0,3.0,0.0,3.0,0.15,2.0,0.0,1.0,0.0,0.0,33.0,18.0,20.0,11.0,2.0,21.0,14.0,7.0,25.0,94.0,1.0,1134.0,182.0,597.0,504.0,37.0,19.0,1134.0,555.0,2.0,1.0,0.0,639.0,5.0,5.0,0.0,29.0,26.0,1.0,0.0,1.0,0.0,88.0,42.0,39.0,51.9
+Ernesto Torregrossa,ve VEN,FW,Sampdoria,28,1992,6.0,1.0,170.0,1.0,0.0,0.0,0.0,0.0,0.0,0.53,0.0,0.53,0.53,0.53,0.4,0.4,0.21,0.21,1.9,2.0,0.0,50.0,1.06,0.25,0.5,0.1,0.6,0.6,32.0,43.0,74.4,355.0,73.0,23.0,29.0,79.3,4.0,5.0,80.0,1.0,2.0,50.0,3.0,0.0,1.0,0.0,3.0,40.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,3.18,3.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,4.0,0.0,4.0,1.0,1.0,0.0,68.0,1.0,4.0,22.0,42.0,8.0,68.0,34.0,3.0,1.0,1.0,49.0,8.0,5.0,0.0,7.0,1.0,3.0,0.0,0.0,0.0,4.0,5.0,8.0,38.5
+"Mattéo Tramoni,fr FRA,""MF,FW"",Cagliari,20,2000,6.0,0.0,74.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,11.0,16.0,68.8,128.0,54.0,9.0,11.0,81.8,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,5.0,0.0,5.0,1.0,2.0,0.0,34.0,1.0,10.0,13.0,11.0,0.0,34.0,13.0,0.0,1.0,0.0,14.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0"
+"Chaka Traorè,ci CIV,""FW,DF"",Parma,15,2004,3.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,1.29,1.29,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.26,-0.3,-0.3,6.0,10.0,60.0,64.0,25.0,5.0,8.0,62.5,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,19.0,0.0,3.0,8.0,8.0,3.0,19.0,10.0,1.0,0.0,0.0,16.0,4.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0"
+Alessandro Tripaldelli,it ITA,DF,Cagliari,21,1999,10.0,3.0,300.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,75.0,116.0,64.7,1284.0,667.0,34.0,43.0,79.1,31.0,53.0,58.5,7.0,9.0,77.8,1.0,3.0,0.0,0.0,10.0,82.0,34.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,34.0,0.0,4.0,2.0,0.6,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,6.0,5.0,6.0,2.0,6.0,1.0,5.0,3.0,15.0,0.0,168.0,13.0,59.0,67.0,44.0,4.0,168.0,70.0,6.0,3.0,2.0,77.0,4.0,1.0,0.0,9.0,4.0,0.0,0.0,0.0,0.0,14.0,7.0,10.0,41.2
+Alessandro Tuia,it ITA,DF,Benevento,30,1990,27.0,19.0,1765.0,1.0,0.0,0.0,0.0,6.0,0.0,0.05,0.0,0.05,0.05,0.05,0.8,0.8,0.04,0.04,19.6,1.0,1.0,12.5,0.05,0.13,1.0,0.1,0.2,0.2,626.0,809.0,77.4,12975.0,5152.0,189.0,214.0,88.3,340.0,396.0,85.9,91.0,173.0,52.6,3.0,38.0,3.0,0.0,44.0,732.0,72.0,29.0,1.0,7.0,3.0,0.0,0.0,0.0,0.0,42.0,5.0,8.0,7.0,0.36,5.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,17.0,34.0,4.0,1.0,22.0,10.0,12.0,36.0,91.0,1.0,1030.0,148.0,580.0,419.0,36.0,12.0,1030.0,490.0,4.0,2.0,0.0,595.0,9.0,4.0,0.0,26.0,10.0,0.0,0.0,2.0,0.0,61.0,29.0,20.0,59.2
+Ľubomír Tupta,sk SVK,FW,Hellas Verona,22,1998,2.0,1.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.67,0.67,0.6,1.0,0.0,50.0,1.8,0.0,0.0,0.04,0.0,0.0,2.0,2.0,100.0,17.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,1.0,3.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+"Iyenoma Udogie,it ITA,""DF,MF"",Hellas Verona,17,2002,6.0,0.0,170.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.15,0.15,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.29,-0.3,-0.3,102.0,122.0,83.6,1456.0,416.0,65.0,71.0,91.5,30.0,36.0,83.3,5.0,7.0,71.4,1.0,8.0,0.0,0.0,7.0,112.0,10.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,2.0,1.06,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,2.0,2.0,2.0,3.0,0.0,3.0,2.0,4.0,0.0,141.0,11.0,39.0,72.0,31.0,1.0,141.0,80.0,2.0,2.0,0.0,88.0,1.0,0.0,0.0,5.0,3.0,1.0,0.0,0.0,0.0,13.0,3.0,5.0,37.5"
+Samir Ujkani,xk KVX,GK,Torino,32,1988,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,27.0,85.2,622.0,503.0,1.0,1.0,100.0,12.0,12.0,100.0,9.0,12.0,75.0,0.0,0.0,0.0,0.0,0.0,19.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,29.0,26.0,29.0,0.0,0.0,0.0,29.0,17.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Kacper Urbanski,pl POL,FW,Bologna,15,2004,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,7.0,85.7,117.0,24.0,2.0,2.0,100.0,3.0,3.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,3.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,5.0,2.0,0.0,7.0,5.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Lautaro Valenti,ar ARG,DF,Parma,21,1999,11.0,6.0,499.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,271.0,336.0,80.7,5901.0,2045.0,82.0,89.0,92.1,131.0,150.0,87.3,55.0,89.0,61.8,1.0,20.0,1.0,1.0,14.0,326.0,10.0,8.0,0.0,12.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,6.0,2.0,0.36,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,4.0,7.0,2.0,1.0,11.0,3.0,8.0,11.0,30.0,0.0,408.0,59.0,230.0,167.0,15.0,2.0,408.0,243.0,7.0,4.0,0.0,281.0,4.0,0.0,0.0,5.0,7.0,0.0,0.0,0.0,0.0,26.0,7.0,0.0,100.0
+"Borja Valero,es ESP,""MF,FW"",Fiorentina,35,1985,20.0,4.0,491.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.3,-0.3,268.0,296.0,90.5,4306.0,1192.0,128.0,135.0,94.8,105.0,117.0,89.7,21.0,24.0,87.5,2.0,25.0,2.0,0.0,29.0,280.0,15.0,8.0,1.0,1.0,2.0,2.0,0.0,0.0,0.0,1.0,1.0,3.0,12.0,2.2,9.0,1.0,0.0,2.0,1.0,0.18,0.0,1.0,0.0,0.0,0.0,13.0,9.0,7.0,4.0,2.0,6.0,1.0,5.0,6.0,2.0,0.0,363.0,11.0,61.0,216.0,89.0,5.0,363.0,232.0,12.0,10.0,1.0,265.0,12.0,11.0,0.0,10.0,15.0,1.0,0.0,0.0,0.0,41.0,1.0,5.0,16.7"
+Denis Vavro,sk SVK,DF,Lazio,24,1996,1.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,16.0,100.0,283.0,106.0,7.0,7.0,100.0,7.0,7.0,100.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,2.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,21.0,4.0,10.0,11.0,0.0,0.0,21.0,13.0,1.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Matías Vecino,uy URU,MF,Inter,28,1991,8.0,3.0,283.0,1.0,1.0,0.0,0.0,0.0,0.0,0.32,0.32,0.64,0.32,0.64,0.8,0.8,0.25,0.25,3.1,3.0,0.0,50.0,0.95,0.17,0.33,0.13,0.2,0.2,103.0,126.0,81.7,1494.0,523.0,54.0,61.0,88.5,33.0,41.0,80.5,8.0,9.0,88.9,4.0,10.0,1.0,0.0,11.0,124.0,2.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,8.0,2.54,7.0,0.0,1.0,0.0,1.0,0.32,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,7.0,1.0,6.0,4.0,3.0,0.0,151.0,6.0,38.0,83.0,30.0,6.0,151.0,85.0,3.0,3.0,1.0,115.0,0.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,7.0,3.0,4.0,42.9
+Miguel Veloso,pt POR,MF,Hellas Verona,34,1986,21.0,15.0,1316.0,2.0,2.0,2.0,2.0,1.0,0.0,0.14,0.14,0.27,0.0,0.14,1.9,0.4,0.14,0.03,14.6,2.0,2.0,20.0,0.14,0.0,0.0,0.04,0.1,-0.4,606.0,798.0,75.9,11245.0,3313.0,229.0,273.0,83.9,289.0,345.0,83.8,70.0,127.0,55.1,11.0,83.0,9.0,3.0,85.0,742.0,48.0,25.0,1.0,4.0,37.0,19.0,5.0,11.0,0.0,4.0,8.0,16.0,29.0,2.13,27.0,1.0,0.0,0.0,3.0,0.22,3.0,0.0,0.0,0.0,0.0,24.0,17.0,10.0,10.0,4.0,12.0,1.0,11.0,12.0,25.0,0.0,928.0,33.0,180.0,607.0,150.0,4.0,926.0,470.0,19.0,7.0,0.0,555.0,18.0,1.0,0.0,19.0,10.0,0.0,0.0,0.0,0.0,98.0,24.0,22.0,52.2
+Lorenzo Venuti,it ITA,DF,Fiorentina,25,1995,28.0,21.0,1757.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.05,0.05,0.0,0.05,0.2,0.2,0.01,0.01,19.5,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.2,-0.2,567.0,780.0,72.7,8826.0,3860.0,318.0,367.0,86.6,195.0,268.0,72.8,39.0,95.0,41.1,15.0,52.0,18.0,11.0,60.0,644.0,133.0,10.0,0.0,0.0,56.0,0.0,0.0,0.0,0.0,123.0,3.0,21.0,29.0,1.49,25.0,1.0,0.0,1.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,24.0,11.0,14.0,7.0,3.0,18.0,3.0,15.0,17.0,24.0,0.0,944.0,42.0,223.0,400.0,327.0,20.0,944.0,495.0,36.0,22.0,3.0,570.0,20.0,12.0,0.0,10.0,26.0,1.0,0.0,0.0,1.0,77.0,8.0,12.0,40.0
+Daniele Verde,it ITA,FW,Spezia,24,1996,21.0,12.0,980.0,6.0,1.0,0.0,0.0,1.0,0.0,0.55,0.09,0.64,0.55,0.64,3.0,3.0,0.28,0.28,10.9,15.0,0.0,45.5,1.38,0.18,0.4,0.09,3.0,3.0,317.0,411.0,77.1,5309.0,858.0,172.0,200.0,86.0,113.0,144.0,78.5,30.0,58.0,51.7,10.0,14.0,9.0,0.0,30.0,375.0,36.0,3.0,1.0,6.0,45.0,18.0,8.0,2.0,0.0,15.0,0.0,5.0,26.0,2.39,22.0,2.0,1.0,0.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,5.0,0.0,5.0,9.0,7.0,0.0,500.0,7.0,57.0,188.0,260.0,57.0,500.0,338.0,28.0,14.0,12.0,377.0,14.0,7.0,0.0,2.0,12.0,2.0,0.0,0.0,0.0,45.0,0.0,0.0,0.0
+"Simone Verdi,it ITA,""MF,FW"",Torino,28,1992,33.0,17.0,1620.0,1.0,5.0,0.0,0.0,6.0,0.0,0.06,0.28,0.33,0.06,0.33,3.5,3.5,0.2,0.2,18.0,13.0,13.0,32.5,0.72,0.03,0.08,0.09,-2.5,-2.5,491.0,735.0,66.8,9374.0,3128.0,227.0,262.0,86.6,146.0,217.0,67.3,102.0,205.0,49.8,53.0,54.0,23.0,9.0,68.0,563.0,163.0,55.0,3.0,17.0,154.0,88.0,13.0,65.0,0.0,9.0,9.0,16.0,91.0,5.06,36.0,40.0,7.0,3.0,10.0,0.56,4.0,6.0,0.0,0.0,0.0,19.0,12.0,10.0,6.0,3.0,8.0,0.0,8.0,8.0,2.0,2.0,899.0,7.0,99.0,400.0,417.0,32.0,899.0,490.0,52.0,41.0,9.0,570.0,33.0,25.0,0.0,24.0,24.0,3.0,0.0,0.0,0.0,78.0,4.0,14.0,22.2"
+Jordan Veretout,fr FRA,MF,Roma,27,1993,29.0,25.0,2053.0,10.0,2.0,5.0,5.0,4.0,0.0,0.44,0.09,0.53,0.22,0.31,8.1,4.1,0.37,0.19,22.8,14.0,2.0,40.0,0.61,0.14,0.36,0.13,1.9,0.9,1071.0,1268.0,84.5,20540.0,5885.0,408.0,451.0,90.5,508.0,563.0,90.2,140.0,209.0,67.0,25.0,124.0,9.0,1.0,144.0,1181.0,82.0,31.0,1.0,12.0,68.0,44.0,29.0,12.0,0.0,4.0,5.0,16.0,68.0,3.12,47.0,12.0,1.0,1.0,11.0,0.5,9.0,1.0,1.0,0.0,0.0,20.0,12.0,8.0,12.0,0.0,14.0,3.0,11.0,14.0,21.0,3.0,1417.0,34.0,228.0,886.0,323.0,34.0,1412.0,769.0,45.0,33.0,10.0,1052.0,19.0,9.0,0.0,32.0,11.0,2.0,0.0,1.0,0.0,113.0,12.0,13.0,48.0
+Edoardo Vergani,it ITA,FW,Bologna,19,2001,1.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,16.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,2.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Valerio Verre,it ITA,""FW,MF"",Sampdoria,26,1994,27.0,12.0,998.0,3.0,3.0,0.0,0.0,3.0,0.0,0.27,0.27,0.54,0.27,0.54,1.9,1.9,0.17,0.17,11.1,10.0,0.0,41.7,0.9,0.13,0.3,0.08,1.1,1.1,371.0,530.0,70.0,6143.0,1972.0,188.0,232.0,81.0,126.0,176.0,71.6,38.0,66.0,57.6,19.0,48.0,21.0,2.0,70.0,501.0,26.0,10.0,1.0,4.0,20.0,9.0,4.0,2.0,0.0,3.0,3.0,19.0,43.0,3.87,31.0,5.0,2.0,2.0,8.0,0.72,5.0,0.0,1.0,0.0,0.0,11.0,7.0,2.0,7.0,2.0,14.0,2.0,12.0,9.0,3.0,0.0,673.0,7.0,72.0,350.0,263.0,28.0,673.0,403.0,32.0,23.0,3.0,514.0,42.0,23.0,0.0,25.0,21.0,1.0,0.0,0.0,0.0,67.0,18.0,25.0,41.9"
+Guglielmo Vicario,it ITA,GK,Cagliari,23,1996,4.0,4.0,360.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,73.0,106.0,68.9,2450.0,2008.0,12.0,12.0,100.0,24.0,25.0,96.0,36.0,68.0,52.9,0.0,0.0,0.0,0.0,0.0,67.0,39.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,118.0,105.0,118.0,0.0,0.0,0.0,118.0,61.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Arturo Vidal,cl CHI,MF,Inter,33,1987,23.0,14.0,1138.0,1.0,1.0,0.0,0.0,3.0,0.0,0.08,0.08,0.16,0.08,0.16,2.4,2.4,0.19,0.19,12.6,3.0,0.0,14.3,0.24,0.05,0.33,0.12,-1.4,-1.4,645.0,753.0,85.7,11197.0,2984.0,276.0,313.0,88.2,277.0,305.0,90.8,66.0,86.0,76.7,10.0,78.0,15.0,3.0,94.0,734.0,15.0,13.0,2.0,12.0,8.0,0.0,0.0,0.0,0.0,2.0,4.0,12.0,30.0,2.37,27.0,0.0,1.0,1.0,3.0,0.24,3.0,0.0,0.0,0.0,0.0,27.0,14.0,8.0,13.0,6.0,23.0,3.0,20.0,29.0,11.0,0.0,892.0,24.0,183.0,519.0,201.0,31.0,892.0,506.0,18.0,12.0,1.0,629.0,15.0,6.0,0.0,28.0,15.0,0.0,0.0,1.0,0.0,95.0,19.0,20.0,48.7
+Ronaldo Vieira,gw GNB,MF,Hellas Verona,22,1998,4.0,2.0,226.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Luca Vignali,it ITA,DF,Spezia,24,1996,21.0,19.0,1590.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,17.7,1.0,0.0,25.0,0.06,0.0,0.0,0.03,-0.1,-0.1,922.0,1167.0,79.0,16707.0,4628.0,384.0,441.0,87.1,404.0,476.0,84.9,115.0,193.0,59.6,10.0,48.0,16.0,7.0,69.0,987.0,177.0,21.0,1.0,7.0,34.0,2.0,0.0,0.0,0.0,153.0,3.0,18.0,22.0,1.25,17.0,0.0,1.0,3.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,19.0,9.0,10.0,6.0,3.0,13.0,5.0,8.0,22.0,25.0,0.0,1318.0,53.0,470.0,569.0,289.0,13.0,1318.0,729.0,30.0,19.0,2.0,808.0,29.0,4.0,0.0,17.0,21.0,1.0,0.0,0.0,0.0,115.0,30.0,15.0,66.7
+"Emanuel Vignato,it ITA,""FW,MF"",Bologna,19,2000,31.0,11.0,1203.0,1.0,4.0,0.0,0.0,4.0,0.0,0.07,0.3,0.37,0.07,0.37,1.5,1.5,0.11,0.11,13.4,8.0,1.0,34.8,0.6,0.04,0.13,0.06,-0.5,-0.5,526.0,713.0,73.8,8446.0,2958.0,279.0,324.0,86.1,177.0,241.0,73.4,51.0,86.0,59.3,26.0,56.0,19.0,3.0,79.0,649.0,64.0,13.0,4.0,3.0,61.0,27.0,9.0,14.0,0.0,24.0,0.0,24.0,50.0,3.73,30.0,11.0,3.0,2.0,6.0,0.45,5.0,1.0,0.0,0.0,0.0,18.0,9.0,9.0,6.0,3.0,6.0,1.0,5.0,10.0,7.0,0.0,826.0,22.0,138.0,365.0,337.0,25.0,826.0,505.0,43.0,28.0,8.0,586.0,17.0,11.0,0.0,13.0,12.0,2.0,0.0,0.0,0.0,83.0,3.0,15.0,16.7"
+Gonzalo Villar,es ESP,MF,Roma,22,1998,33.0,21.0,1859.0,0.0,1.0,0.0,0.0,7.0,0.0,0.0,0.05,0.05,0.0,0.05,0.4,0.4,0.02,0.02,20.7,1.0,0.0,10.0,0.05,0.0,0.0,0.04,-0.4,-0.4,1173.0,1307.0,89.7,19861.0,5490.0,514.0,563.0,91.3,552.0,589.0,93.7,80.0,101.0,79.2,8.0,116.0,14.0,3.0,122.0,1257.0,47.0,46.0,2.0,1.0,7.0,1.0,1.0,0.0,0.0,0.0,3.0,8.0,36.0,1.75,31.0,1.0,1.0,2.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,44.0,18.0,14.0,24.0,6.0,25.0,3.0,22.0,22.0,14.0,1.0,1491.0,29.0,288.0,965.0,256.0,18.0,1491.0,935.0,50.0,36.0,8.0,1123.0,26.0,15.0,0.0,51.0,49.0,0.0,0.0,1.0,0.0,124.0,26.0,19.0,57.8
+Nicolas Viola,it ITA,MF,Benevento,30,1989,17.0,12.0,1036.0,5.0,2.0,4.0,4.0,1.0,0.0,0.43,0.17,0.61,0.09,0.26,3.8,0.6,0.33,0.06,11.5,4.0,2.0,28.6,0.35,0.07,0.25,0.05,1.2,0.4,333.0,500.0,66.6,6070.0,2329.0,152.0,179.0,84.9,115.0,161.0,71.4,47.0,123.0,38.2,19.0,30.0,12.0,1.0,41.0,415.0,82.0,50.0,2.0,3.0,47.0,29.0,11.0,17.0,0.0,2.0,3.0,8.0,33.0,2.87,20.0,8.0,2.0,1.0,6.0,0.52,3.0,2.0,0.0,0.0,0.0,16.0,9.0,2.0,11.0,3.0,10.0,3.0,7.0,9.0,7.0,0.0,603.0,19.0,119.0,331.0,161.0,12.0,599.0,284.0,10.0,6.0,1.0,342.0,18.0,7.0,0.0,14.0,23.0,0.0,0.0,0.0,0.0,64.0,6.0,11.0,35.3
+Dušan Vlahović,rs SRB,FW,Fiorentina,20,2000,37.0,34.0,2923.0,21.0,3.0,6.0,6.0,1.0,0.0,0.65,0.09,0.74,0.46,0.55,18.5,13.8,0.57,0.43,32.5,33.0,1.0,41.3,1.02,0.19,0.45,0.17,2.5,1.2,394.0,616.0,64.0,5497.0,748.0,240.0,330.0,72.7,111.0,175.0,63.4,20.0,34.0,58.8,18.0,23.0,9.0,0.0,31.0,586.0,29.0,2.0,0.0,11.0,21.0,0.0,0.0,0.0,0.0,0.0,1.0,30.0,52.0,1.6,32.0,0.0,5.0,10.0,7.0,0.22,3.0,0.0,0.0,4.0,0.0,13.0,4.0,3.0,4.0,6.0,16.0,2.0,14.0,4.0,15.0,0.0,987.0,16.0,59.0,419.0,522.0,146.0,981.0,572.0,36.0,29.0,13.0,817.0,106.0,89.0,0.0,53.0,70.0,26.0,2.0,0.0,0.0,79.0,114.0,144.0,44.2
+"Mërgim Vojvoda,xk KVX,""DF,FW"",Torino,25,1995,24.0,17.0,1359.0,2.0,2.0,0.0,0.0,4.0,0.0,0.13,0.13,0.26,0.13,0.26,1.1,1.1,0.07,0.07,15.1,3.0,0.0,50.0,0.2,0.33,0.67,0.18,0.9,0.9,589.0,768.0,76.7,8829.0,3514.0,361.0,406.0,88.9,168.0,237.0,70.9,43.0,83.0,51.8,8.0,36.0,13.0,9.0,46.0,646.0,122.0,12.0,0.0,8.0,64.0,0.0,0.0,0.0,0.0,110.0,0.0,15.0,17.0,1.13,15.0,1.0,0.0,1.0,3.0,0.2,3.0,0.0,0.0,0.0,0.0,24.0,14.0,18.0,5.0,1.0,19.0,4.0,15.0,18.0,35.0,1.0,907.0,59.0,303.0,376.0,233.0,18.0,907.0,504.0,17.0,12.0,2.0,562.0,15.0,12.0,0.0,11.0,6.0,0.0,0.0,1.0,0.0,78.0,12.0,8.0,60.0"
+Stefan de Vrij,nl NED,DF,Inter,28,1992,32.0,30.0,2734.0,1.0,0.0,0.0,0.0,2.0,0.0,0.03,0.0,0.03,0.03,0.03,1.2,1.2,0.04,0.04,30.4,4.0,0.0,33.3,0.13,0.08,0.25,0.1,-0.2,-0.2,1842.0,1967.0,93.6,37123.0,10864.0,475.0,520.0,91.3,1183.0,1212.0,97.6,171.0,210.0,81.4,6.0,67.0,4.0,1.0,94.0,1922.0,43.0,30.0,1.0,6.0,2.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,12.0,0.4,12.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,28.0,16.0,15.0,12.0,1.0,24.0,18.0,6.0,41.0,95.0,0.0,2193.0,223.0,1048.0,1109.0,45.0,18.0,2193.0,1313.0,19.0,9.0,1.0,1618.0,6.0,2.0,0.0,19.0,10.0,0.0,0.0,0.0,0.0,147.0,64.0,40.0,61.5
+Giacomo Vrioni,al ALB,FW,Juventus,21,1998,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,13.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,90.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,2.0,3.0,2.0,1.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Miloš Vulić,rs SRB,MF,Crotone,23,1996,25.0,13.0,1305.0,1.0,1.0,0.0,0.0,2.0,0.0,0.07,0.07,0.14,0.07,0.14,0.6,0.6,0.04,0.04,14.5,4.0,1.0,23.5,0.28,0.06,0.25,0.04,0.4,0.4,442.0,577.0,76.6,7248.0,1839.0,210.0,250.0,84.0,201.0,248.0,81.0,21.0,44.0,47.7,21.0,39.0,8.0,3.0,51.0,531.0,43.0,30.0,0.0,1.0,27.0,10.0,8.0,0.0,0.0,3.0,3.0,13.0,38.0,2.62,29.0,5.0,0.0,1.0,2.0,0.14,1.0,0.0,0.0,0.0,0.0,15.0,8.0,9.0,1.0,5.0,10.0,1.0,9.0,8.0,8.0,0.0,716.0,20.0,148.0,369.0,201.0,32.0,716.0,427.0,16.0,19.0,8.0,498.0,29.0,16.0,0.0,12.0,32.0,1.0,0.0,0.0,0.0,73.0,15.0,13.0,53.6
+Walace,br BRA,MF,Udinese,25,1995,30.0,23.0,2055.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.03,0.03,22.8,4.0,0.0,23.5,0.18,0.0,0.0,0.04,-0.7,-0.7,1027.0,1165.0,88.2,18080.0,4710.0,452.0,484.0,93.4,432.0,464.0,93.1,103.0,135.0,76.3,9.0,99.0,6.0,1.0,95.0,1128.0,32.0,25.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,7.0,5.0,22.0,27.0,1.18,22.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,50.0,23.0,28.0,19.0,3.0,36.0,3.0,33.0,34.0,23.0,0.0,1431.0,56.0,403.0,866.0,174.0,12.0,1431.0,801.0,17.0,13.0,2.0,936.0,40.0,16.0,0.0,31.0,26.0,1.0,0.0,0.0,0.0,179.0,13.0,14.0,48.1
+Sebastian Walukiewicz,pl POL,DF,Cagliari,20,2000,19.0,18.0,1618.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.06,0.06,0.0,0.06,0.7,0.7,0.04,0.04,18.0,1.0,0.0,33.3,0.06,0.0,0.0,0.22,-0.7,-0.7,702.0,823.0,85.3,12995.0,5065.0,255.0,285.0,89.5,377.0,425.0,88.7,60.0,92.0,65.2,2.0,26.0,2.0,0.0,39.0,784.0,37.0,24.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,12.0,2.0,7.0,4.0,0.22,3.0,0.0,1.0,0.0,1.0,0.06,0.0,0.0,1.0,0.0,0.0,27.0,19.0,11.0,13.0,3.0,22.0,14.0,8.0,36.0,60.0,0.0,999.0,132.0,549.0,427.0,29.0,7.0,999.0,593.0,16.0,10.0,2.0,659.0,10.0,5.0,0.0,17.0,4.0,0.0,0.0,0.0,0.0,68.0,16.0,19.0,45.7
+Maya Yoshida,jp JPN,DF,Sampdoria,31,1988,32.0,25.0,2274.0,1.0,2.0,0.0,0.0,5.0,0.0,0.04,0.08,0.12,0.04,0.12,1.8,1.8,0.07,0.07,25.3,1.0,0.0,9.1,0.04,0.09,1.0,0.17,-0.8,-0.8,1035.0,1219.0,84.9,21877.0,7569.0,298.0,339.0,87.9,583.0,623.0,93.6,147.0,236.0,62.3,7.0,53.0,1.0,0.0,55.0,1154.0,62.0,46.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,16.0,3.0,4.0,13.0,0.51,9.0,0.0,2.0,0.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,17.0,4.0,10.0,7.0,0.0,45.0,34.0,11.0,57.0,93.0,1.0,1471.0,246.0,834.0,597.0,46.0,24.0,1471.0,750.0,6.0,8.0,1.0,864.0,12.0,0.0,0.0,16.0,20.0,0.0,0.0,0.0,0.0,136.0,46.0,25.0,64.8
+Ashley Young,eng ENG,DF,Inter,35,1985,26.0,16.0,1425.0,1.0,4.0,0.0,0.0,4.0,0.0,0.06,0.25,0.32,0.06,0.32,1.3,1.2,0.08,0.07,15.8,5.0,1.0,33.3,0.32,0.07,0.2,0.08,-0.3,-0.2,542.0,679.0,79.8,8123.0,2463.0,307.0,333.0,92.2,198.0,255.0,77.6,24.0,46.0,52.2,29.0,25.0,21.0,8.0,42.0,549.0,125.0,11.0,0.0,1.0,44.0,11.0,7.0,0.0,0.0,103.0,5.0,18.0,44.0,2.78,33.0,6.0,1.0,2.0,4.0,0.25,4.0,0.0,0.0,0.0,0.0,15.0,7.0,8.0,4.0,3.0,13.0,0.0,13.0,6.0,31.0,0.0,795.0,33.0,221.0,280.0,299.0,27.0,795.0,389.0,31.0,16.0,6.0,493.0,11.0,3.0,0.0,13.0,15.0,3.0,0.0,1.0,0.0,55.0,3.0,10.0,23.1
+Mattia Zaccagni,it ITA,MF,Hellas Verona,25,1995,36.0,33.0,2609.0,5.0,5.0,1.0,1.0,6.0,0.0,0.17,0.17,0.34,0.14,0.31,3.2,2.4,0.11,0.09,29.0,12.0,1.0,40.0,0.41,0.13,0.33,0.08,1.8,1.6,648.0,943.0,68.7,9785.0,2666.0,378.0,472.0,80.1,182.0,276.0,65.9,52.0,83.0,62.7,38.0,44.0,46.0,9.0,112.0,914.0,23.0,11.0,2.0,14.0,83.0,0.0,0.0,0.0,0.0,12.0,6.0,31.0,88.0,3.09,63.0,3.0,4.0,14.0,12.0,0.42,11.0,0.0,0.0,1.0,0.0,27.0,13.0,8.0,11.0,8.0,28.0,4.0,24.0,27.0,13.0,1.0,1266.0,21.0,137.0,510.0,652.0,100.0,1265.0,860.0,118.0,69.0,46.0,984.0,74.0,64.0,0.0,36.0,109.0,11.0,1.0,0.0,0.0,148.0,47.0,57.0,45.2
+Vasilios Zagaritis,gr GRE,DF,Parma,19,2001,2.0,0.0,65.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,41.0,50.0,82.0,528.0,198.0,31.0,32.0,96.9,9.0,11.0,81.8,1.0,4.0,25.0,1.0,3.0,1.0,0.0,5.0,45.0,5.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,1.0,1.38,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,57.0,0.0,10.0,23.0,24.0,1.0,57.0,39.0,2.0,3.0,0.0,40.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Miha Zajc,si SVN,MF,Genoa,26,1994,31.0,22.0,1863.0,1.0,3.0,0.0,0.0,4.0,0.0,0.05,0.14,0.19,0.05,0.19,1.8,1.8,0.08,0.08,20.7,4.0,3.0,21.1,0.19,0.05,0.25,0.09,-0.8,-0.8,851.0,1071.0,79.5,13795.0,2984.0,425.0,464.0,91.6,297.0,367.0,80.9,77.0,140.0,55.0,19.0,63.0,17.0,2.0,96.0,973.0,88.0,28.0,1.0,6.0,77.0,56.0,18.0,28.0,0.0,2.0,10.0,18.0,49.0,2.37,29.0,12.0,3.0,0.0,4.0,0.19,3.0,1.0,0.0,0.0,0.0,22.0,14.0,9.0,10.0,3.0,30.0,4.0,26.0,27.0,19.0,0.0,1300.0,24.0,219.0,735.0,365.0,34.0,1300.0,772.0,42.0,31.0,7.0,892.0,49.0,20.0,0.0,27.0,27.0,3.0,0.0,0.0,0.0,107.0,18.0,26.0,40.9
+Nicola Zalewski,pl POL,MF,Roma,18,2002,1.0,0.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.18,8.18,0.0,8.18,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,7.0,85.7,108.0,59.0,2.0,3.0,66.7,4.0,4.0,100.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,3.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,16.36,1.0,0.0,0.0,1.0,1.0,8.18,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,4.0,3.0,0.0,8.0,6.0,0.0,1.0,0.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Niccolò Zanellato,it ITA,MF,Crotone,22,1998,27.0,18.0,1637.0,1.0,1.0,0.0,0.0,3.0,0.0,0.05,0.05,0.11,0.05,0.11,0.4,0.4,0.02,0.02,18.2,1.0,0.0,20.0,0.05,0.2,1.0,0.08,0.6,0.6,607.0,764.0,79.5,11180.0,2751.0,238.0,290.0,82.1,295.0,337.0,87.5,62.0,95.0,65.3,9.0,48.0,10.0,3.0,65.0,734.0,27.0,18.0,1.0,5.0,9.0,8.0,1.0,0.0,0.0,1.0,3.0,13.0,24.0,1.32,21.0,2.0,0.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,24.0,14.0,16.0,6.0,2.0,19.0,5.0,14.0,16.0,12.0,2.0,882.0,40.0,221.0,525.0,150.0,9.0,882.0,463.0,9.0,8.0,0.0,609.0,17.0,11.0,0.0,30.0,34.0,0.0,0.0,0.0,0.0,102.0,19.0,21.0,47.5
+Cristián Zapata,co COL,DF,Genoa,33,1986,12.0,12.0,968.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,10.8,2.0,0.0,66.7,0.19,0.0,0.0,0.06,-0.2,-0.2,429.0,494.0,86.8,8240.0,2552.0,137.0,153.0,89.5,240.0,255.0,94.1,45.0,67.0,67.2,1.0,6.0,1.0,0.0,10.0,465.0,27.0,24.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,4.0,0.37,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,12.0,11.0,7.0,0.0,15.0,11.0,4.0,15.0,56.0,0.0,607.0,114.0,368.0,229.0,13.0,5.0,607.0,347.0,2.0,1.0,0.0,377.0,5.0,2.0,0.0,6.0,5.0,0.0,0.0,1.0,0.0,45.0,27.0,13.0,67.5
+Duván Zapata,co COL,FW,Atalanta,29,1991,37.0,29.0,2379.0,15.0,9.0,1.0,1.0,0.0,0.0,0.57,0.34,0.91,0.53,0.87,15.2,14.4,0.57,0.54,26.4,38.0,0.0,38.8,1.44,0.14,0.37,0.15,-0.2,-0.4,614.0,817.0,75.2,8101.0,976.0,394.0,465.0,84.7,163.0,210.0,77.6,25.0,43.0,58.1,42.0,16.0,23.0,3.0,48.0,758.0,56.0,1.0,0.0,5.0,48.0,0.0,0.0,0.0,0.0,5.0,3.0,41.0,105.0,3.97,80.0,1.0,10.0,8.0,15.0,0.57,13.0,0.0,0.0,2.0,0.0,12.0,5.0,2.0,3.0,7.0,19.0,5.0,14.0,6.0,19.0,0.0,1214.0,24.0,57.0,374.0,798.0,221.0,1213.0,836.0,88.0,46.0,56.0,1009.0,114.0,65.0,0.0,29.0,49.0,21.0,1.0,0.0,0.0,69.0,48.0,52.0,48.0
+Gabriele Zappa,it ITA,DF,Cagliari,20,1999,34.0,27.0,2395.0,0.0,4.0,0.0,0.0,3.0,0.0,0.0,0.15,0.15,0.0,0.15,0.6,0.6,0.02,0.02,26.6,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.6,-0.6,1003.0,1313.0,76.4,15015.0,6281.0,563.0,642.0,87.7,360.0,465.0,77.4,52.0,132.0,39.4,28.0,69.0,36.0,14.0,108.0,1059.0,252.0,20.0,0.0,1.0,69.0,0.0,0.0,0.0,0.0,232.0,2.0,34.0,64.0,2.4,52.0,4.0,3.0,0.0,8.0,0.3,6.0,1.0,0.0,0.0,0.0,34.0,17.0,16.0,15.0,3.0,36.0,4.0,32.0,24.0,50.0,0.0,1550.0,76.0,452.0,605.0,507.0,41.0,1550.0,767.0,49.0,49.0,8.0,895.0,22.0,14.0,0.0,25.0,11.0,1.0,0.0,0.0,0.0,126.0,10.0,24.0,29.4
+Davide Zappacosta,it ITA,DF,Genoa,28,1992,25.0,23.0,2045.0,4.0,2.0,0.0,0.0,3.0,0.0,0.18,0.09,0.26,0.18,0.26,2.6,2.6,0.11,0.11,22.7,13.0,0.0,31.7,0.57,0.1,0.31,0.06,1.4,1.4,859.0,1090.0,78.8,12506.0,3644.0,500.0,551.0,90.7,278.0,345.0,80.6,43.0,94.0,45.7,12.0,25.0,17.0,9.0,38.0,870.0,216.0,9.0,0.0,2.0,83.0,3.0,1.0,1.0,0.0,204.0,4.0,44.0,50.0,2.22,29.0,2.0,8.0,1.0,11.0,0.49,4.0,0.0,4.0,0.0,0.0,33.0,16.0,15.0,13.0,5.0,17.0,1.0,16.0,18.0,41.0,0.0,1375.0,59.0,337.0,524.0,529.0,67.0,1375.0,780.0,88.0,47.0,29.0,835.0,42.0,22.0,0.0,23.0,19.0,8.0,0.0,0.0,0.0,119.0,14.0,11.0,56.0
+Simone Zaza,it ITA,FW,Torino,29,1991,29.0,15.0,1491.0,6.0,0.0,0.0,0.0,4.0,0.0,0.36,0.0,0.36,0.36,0.36,7.5,7.5,0.46,0.46,16.6,16.0,2.0,28.1,0.97,0.11,0.38,0.13,-1.5,-1.5,231.0,325.0,71.1,3317.0,379.0,120.0,153.0,78.4,75.0,98.0,76.5,14.0,22.0,63.6,13.0,12.0,5.0,1.0,12.0,312.0,9.0,0.0,1.0,3.0,5.0,0.0,0.0,0.0,0.0,4.0,4.0,12.0,38.0,2.29,22.0,0.0,8.0,8.0,3.0,0.18,1.0,0.0,1.0,1.0,0.0,15.0,9.0,4.0,6.0,5.0,14.0,0.0,14.0,3.0,5.0,1.0,530.0,6.0,36.0,225.0,274.0,85.0,530.0,278.0,8.0,8.0,5.0,402.0,55.0,21.0,0.0,36.0,31.0,14.0,0.0,0.0,0.0,32.0,44.0,63.0,41.1
+Marvin Zeegelaar,nl NED,DF,Udinese,29,1990,24.0,23.0,1740.0,1.0,0.0,0.0,0.0,6.0,0.0,0.05,0.0,0.05,0.05,0.05,1.6,1.6,0.08,0.08,19.3,1.0,0.0,11.1,0.05,0.11,1.0,0.18,-0.6,-0.6,585.0,771.0,75.9,8962.0,3167.0,316.0,378.0,83.6,219.0,274.0,79.9,32.0,73.0,43.8,9.0,36.0,12.0,7.0,70.0,675.0,93.0,6.0,0.0,1.0,45.0,0.0,0.0,0.0,0.0,87.0,3.0,16.0,30.0,1.55,20.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,18.0,23.0,16.0,1.0,21.0,9.0,12.0,24.0,43.0,0.0,975.0,60.0,266.0,431.0,289.0,29.0,975.0,497.0,35.0,20.0,4.0,586.0,27.0,15.0,0.0,39.0,6.0,4.0,0.0,1.0,0.0,68.0,33.0,28.0,54.1
+Piotr Zieliński,pl POL,MF,Napoli,26,1994,36.0,32.0,2523.0,8.0,10.0,0.0,0.0,2.0,0.0,0.29,0.36,0.64,0.29,0.64,5.3,5.3,0.19,0.19,28.0,25.0,0.0,41.7,0.89,0.13,0.32,0.09,2.7,2.7,1031.0,1247.0,82.7,15663.0,3884.0,568.0,635.0,89.4,307.0,362.0,84.8,89.0,141.0,63.1,56.0,109.0,23.0,2.0,154.0,1170.0,70.0,20.0,3.0,14.0,65.0,33.0,6.0,22.0,0.0,3.0,7.0,19.0,117.0,4.17,81.0,15.0,6.0,6.0,25.0,0.89,17.0,2.0,0.0,2.0,0.0,18.0,10.0,8.0,7.0,3.0,23.0,4.0,19.0,18.0,12.0,0.0,1500.0,25.0,148.0,735.0,643.0,85.0,1500.0,972.0,93.0,76.0,15.0,1191.0,50.0,31.0,0.0,12.0,45.0,7.0,0.0,0.0,0.0,108.0,4.0,8.0,33.3
+"Joshua Zirkzee,nl NED,""FW,MF"",Parma,19,2001,4.0,0.0,113.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,21.0,34.0,61.8,232.0,83.0,16.0,20.0,80.0,4.0,10.0,40.0,0.0,0.0,0.0,1.0,3.0,2.0,0.0,2.0,32.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.19,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,46.0,2.0,6.0,22.0,18.0,4.0,46.0,21.0,1.0,0.0,1.0,26.0,4.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,7.0,1.0,9.0,10.0"
+Jeroen Zoet,nl NED,GK,Spezia,29,1991,7.0,7.0,603.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,229.0,307.0,74.6,6346.0,4255.0,43.0,44.0,97.7,98.0,101.0,97.0,88.0,161.0,54.7,0.0,4.0,0.0,0.0,0.0,252.0,54.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,328.0,247.0,324.0,4.0,0.0,0.0,328.0,210.0,0.0,0.0,0.0,184.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,1.0,0.0,8.0,2.0,0.0,100.0
+"Filip Đuričić,rs SRB,""MF,FW"",Sassuolo,28,1992,32.0,27.0,2079.0,5.0,4.0,1.0,1.0,5.0,0.0,0.22,0.17,0.39,0.17,0.35,6.2,5.4,0.27,0.23,23.1,13.0,0.0,24.1,0.56,0.07,0.31,0.1,-1.2,-1.4,701.0,901.0,77.8,9567.0,2200.0,417.0,487.0,85.6,213.0,249.0,85.5,28.0,39.0,71.8,55.0,46.0,35.0,2.0,96.0,882.0,15.0,3.0,2.0,1.0,12.0,1.0,0.0,0.0,0.0,8.0,4.0,40.0,108.0,4.67,85.0,1.0,6.0,6.0,13.0,0.56,9.0,0.0,2.0,1.0,0.0,32.0,23.0,6.0,16.0,10.0,20.0,2.0,18.0,9.0,12.0,0.0,1171.0,14.0,106.0,485.0,597.0,94.0,1170.0,688.0,87.0,66.0,18.0,929.0,53.0,47.0,0.0,52.0,39.0,5.0,0.0,0.0,0.0,90.0,13.0,35.0,27.1"
diff --git a/fbref_data/season2021/teams.csv b/fbref_data/season2021/teams.csv
index 58d2ef2..ade5fc8 100644
--- a/fbref_data/season2021/teams.csv
+++ b/fbref_data/season2021/teams.csv
@@ -1,21 +1,21 @@
-team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Atalanta,30.0,54.6,38.0,418.0,3420.0,90.0,65.0,6.0,7.0,67.0,3.0,2.37,1.71,4.08,2.21,3.92,74.7,69.3,1.97,1.82,38.0,38.0,3417.0,47.0,1.24,112.0,63.0,62.5,23.0,9.0,6.0,11.0,28.9,8.0,5.0,3.0,0.0,38.0,0.0,5.0,1.0,42.3,0.31,-3.7,-0.1,132.0,323.0,40.9,868.0,161.0,24.8,31.0,173.0,62.4,47.7,377.0,14.0,3.7,66.0,1.74,16.9,221.0,28.0,36.0,5.82,0.14,0.38,0.12,15.3,14.7,18066.0,22063.0,81.9,310229.0,109918.0,8542.0,9641.0,88.6,7388.0,8505.0,86.9,1686.0,2744.0,61.4,487.0,1635.0,490.0,85.0,2077.0,20351.0,1656.0,508.0,28.0,181.0,657.0,201.0,104.0,82.0,0.0,689.0,56.0,395.0,1115.0,29.34,866.0,68.0,60.0,61.0,43.0,162.0,4.26,127.0,8.0,10.0,9.0,5.0,3.0,606.0,343.0,252.0,256.0,98.0,265.0,591.0,44.8,326.0,421.0,92.0,329.0,516.0,484.0,11.0,26392.0,1779.0,6640.0,12068.0,7924.0,1147.0,26385.0,396.0,707.0,56.0,15724.0,874.0,658.0,256.0,17945.0,680.0,406.0,1.0,580.0,473.0,56.0,5.0,8.0,1.0,2472.0,633.0,506.0,55.6
-Benevento,29.0,42.6,38.0,418.0,3420.0,40.0,26.0,5.0,7.0,95.0,5.0,1.05,0.68,1.74,0.92,1.61,40.6,35.0,1.07,0.92,38.0,38.0,3420.0,75.0,1.97,177.0,107.0,59.9,7.0,12.0,19.0,7.0,18.4,5.0,4.0,1.0,0.0,38.0,0.0,9.0,6.0,63.2,0.34,-5.8,-0.15,205.0,583.0,35.2,990.0,187.0,42.6,36.5,278.0,57.9,43.2,639.0,21.0,3.3,24.0,0.63,11.7,128.0,17.0,31.1,3.37,0.09,0.27,0.09,-0.6,0.0,11573.0,15318.0,75.6,210156.0,81278.0,4998.0,5811.0,86.0,4745.0,5735.0,82.7,1419.0,2776.0,51.1,300.0,762.0,270.0,85.0,1096.0,13338.0,1919.0,685.0,12.0,95.0,645.0,169.0,52.0,96.0,0.0,658.0,61.0,296.0,686.0,18.05,486.0,66.0,36.0,52.0,36.0,66.0,1.74,43.0,8.0,3.0,5.0,5.0,2.0,511.0,288.0,278.0,179.0,54.0,243.0,646.0,37.6,403.0,382.0,123.0,259.0,383.0,746.0,13.0,19178.0,2349.0,7076.0,8190.0,4126.0,698.0,19171.0,273.0,452.0,60.4,9800.0,512.0,377.0,123.0,11461.0,513.0,289.0,2.0,496.0,593.0,61.0,7.0,5.0,6.0,1749.0,496.0,615.0,44.6
-Bologna,37.0,50.8,38.0,418.0,3420.0,49.0,38.0,3.0,4.0,82.0,4.0,1.29,1.0,2.29,1.21,2.21,54.6,51.1,1.44,1.34,38.0,38.0,3420.0,65.0,1.71,193.0,128.0,69.9,10.0,11.0,17.0,5.0,13.2,9.0,7.0,2.0,0.0,38.0,2.0,9.0,2.0,63.3,0.3,0.3,0.01,127.0,333.0,38.1,1078.0,209.0,24.4,29.1,297.0,23.6,23.7,562.0,28.0,5.0,39.0,1.03,14.0,175.0,24.0,35.4,4.61,0.09,0.26,0.11,-5.6,-5.1,14683.0,18539.0,79.2,256744.0,99247.0,6690.0,7649.0,87.5,5992.0,7098.0,84.4,1528.0,2648.0,57.7,372.0,1193.0,262.0,60.0,1516.0,16629.0,1837.0,533.0,31.0,105.0,669.0,201.0,134.0,38.0,0.0,697.0,73.0,346.0,862.0,22.68,629.0,72.0,48.0,52.0,43.0,83.0,2.18,62.0,6.0,1.0,8.0,5.0,1.0,542.0,313.0,273.0,186.0,83.0,209.0,538.0,38.8,329.0,452.0,147.0,305.0,424.0,740.0,21.0,22798.0,2727.0,7475.0,10035.0,5490.0,764.0,22794.0,345.0,628.0,54.9,12688.0,706.0,473.0,176.0,14515.0,598.0,305.0,2.0,536.0,476.0,73.0,3.0,9.0,2.0,2016.0,564.0,594.0,48.7
-Cagliari,32.0,44.8,38.0,418.0,3420.0,43.0,30.0,4.0,5.0,77.0,3.0,1.13,0.79,1.92,1.03,1.82,47.1,43.4,1.24,1.14,38.0,38.0,3420.0,59.0,1.55,203.0,144.0,73.4,9.0,10.0,19.0,7.0,18.4,5.0,5.0,0.0,0.0,38.0,1.0,9.0,0.0,59.1,0.27,0.1,0.0,201.0,483.0,41.6,769.0,156.0,39.1,33.7,299.0,60.9,43.2,601.0,20.0,3.3,22.0,0.58,13.7,122.0,13.0,28.4,3.21,0.09,0.32,0.1,-4.1,-4.4,13040.0,16868.0,77.3,235900.0,89913.0,5808.0,6708.0,86.6,5346.0,6416.0,83.3,1542.0,2779.0,55.5,317.0,967.0,276.0,91.0,1228.0,14915.0,1896.0,563.0,8.0,96.0,721.0,170.0,51.0,92.0,0.0,755.0,57.0,345.0,730.0,19.21,521.0,72.0,38.0,54.0,35.0,75.0,1.97,52.0,4.0,4.0,10.0,5.0,0.0,589.0,336.0,296.0,229.0,64.0,269.0,647.0,41.6,378.0,421.0,130.0,291.0,388.0,777.0,6.0,20989.0,2354.0,7007.0,9356.0,4876.0,712.0,20984.0,336.0,605.0,55.5,10944.0,589.0,461.0,122.0,12936.0,532.0,281.0,2.0,516.0,469.0,57.0,4.0,5.0,0.0,1854.0,637.0,602.0,51.4
-Crotone,31.0,46.3,38.0,418.0,3420.0,44.0,27.0,9.0,9.0,89.0,4.0,1.16,0.71,1.87,0.92,1.63,40.4,33.4,1.06,0.88,38.0,38.0,3420.0,92.0,2.42,216.0,126.0,59.7,6.0,5.0,27.0,3.0,7.9,5.0,5.0,0.0,0.0,38.0,2.0,9.0,2.0,73.4,0.32,-16.6,-0.44,210.0,526.0,39.9,1189.0,177.0,33.3,31.6,327.0,39.8,33.1,589.0,18.0,3.1,38.0,1.0,15.0,111.0,15.0,31.4,2.92,0.1,0.32,0.1,3.6,1.6,13532.0,17229.0,78.5,245442.0,95255.0,5782.0,6594.0,87.7,6004.0,7014.0,85.6,1437.0,2695.0,53.3,269.0,862.0,224.0,68.0,1217.0,15358.0,1814.0,600.0,9.0,99.0,544.0,138.0,72.0,22.0,0.0,619.0,57.0,329.0,623.0,16.39,433.0,53.0,56.0,29.0,41.0,75.0,1.97,44.0,6.0,9.0,5.0,8.0,3.0,540.0,311.0,288.0,196.0,56.0,225.0,556.0,40.5,331.0,406.0,137.0,269.0,380.0,748.0,12.0,21226.0,2904.0,8260.0,9199.0,3983.0,577.0,21217.0,385.0,623.0,61.8,11536.0,582.0,386.0,119.0,13427.0,610.0,366.0,2.0,531.0,490.0,57.0,7.0,5.0,2.0,1936.0,472.0,534.0,46.9
-Fiorentina,30.0,46.3,38.0,418.0,3420.0,44.0,31.0,6.0,6.0,86.0,5.0,1.16,0.82,1.97,1.0,1.82,44.9,40.2,1.18,1.06,38.0,38.0,3420.0,59.0,1.55,152.0,92.0,66.4,9.0,13.0,16.0,9.0,23.7,11.0,8.0,3.0,0.0,38.0,1.0,11.0,2.0,59.3,0.32,2.3,0.06,208.0,562.0,37.0,845.0,170.0,46.2,38.4,292.0,58.9,45.3,538.0,26.0,4.8,28.0,0.74,13.2,115.0,14.0,31.4,3.03,0.1,0.33,0.11,-0.9,-2.2,13430.0,17136.0,78.4,246275.0,88848.0,5748.0,6592.0,87.2,5603.0,6571.0,85.3,1668.0,2930.0,56.9,266.0,1130.0,245.0,93.0,1353.0,15159.0,1916.0,617.0,10.0,203.0,740.0,168.0,34.0,113.0,1.0,742.0,61.0,332.0,655.0,17.24,472.0,71.0,29.0,26.0,50.0,77.0,2.03,53.0,5.0,4.0,6.0,9.0,0.0,496.0,263.0,228.0,198.0,70.0,229.0,544.0,42.1,315.0,362.0,127.0,235.0,388.0,619.0,8.0,20902.0,2094.0,6147.0,9711.0,5257.0,659.0,20896.0,325.0,575.0,56.5,11680.0,637.0,499.0,114.0,13327.0,561.0,422.0,0.0,523.0,523.0,61.0,4.0,11.0,2.0,1817.0,538.0,544.0,49.7
-Genoa,34.0,44.8,38.0,418.0,3420.0,46.0,32.0,4.0,4.0,87.0,2.0,1.21,0.84,2.05,1.11,1.95,38.8,35.6,1.02,0.94,38.0,38.0,3419.0,58.0,1.53,188.0,132.0,72.9,10.0,12.0,16.0,9.0,23.7,7.0,7.0,0.0,0.0,38.0,0.0,6.0,2.0,59.1,0.29,3.1,0.08,205.0,614.0,33.4,1044.0,168.0,43.9,35.7,328.0,47.6,37.4,621.0,21.0,3.4,26.0,0.68,12.8,120.0,11.0,35.5,3.16,0.12,0.35,0.11,7.2,6.4,13954.0,17948.0,77.7,246279.0,89499.0,6410.0,7297.0,87.8,5472.0,6511.0,84.0,1602.0,3000.0,53.4,249.0,920.0,226.0,74.0,1165.0,16092.0,1777.0,519.0,15.0,146.0,579.0,129.0,43.0,62.0,0.0,703.0,79.0,331.0,585.0,15.39,439.0,38.0,38.0,35.0,22.0,73.0,1.92,55.0,3.0,5.0,6.0,2.0,2.0,555.0,309.0,293.0,197.0,65.0,255.0,640.0,39.8,385.0,437.0,123.0,314.0,520.0,785.0,12.0,22041.0,2592.0,7852.0,10124.0,4302.0,575.0,22037.0,294.0,541.0,54.3,12400.0,523.0,393.0,118.0,13839.0,589.0,305.0,1.0,520.0,466.0,79.0,2.0,7.0,2.0,2013.0,505.0,643.0,44.0
-Hellas Verona,32.0,49.8,38.0,418.0,3420.0,38.0,30.0,3.0,3.0,91.0,1.0,1.0,0.79,1.79,0.92,1.71,45.3,43.0,1.19,1.13,38.0,38.0,3420.0,48.0,1.26,145.0,99.0,71.0,11.0,12.0,15.0,7.0,18.4,7.0,6.0,0.0,1.0,38.0,1.0,7.0,2.0,41.5,0.25,-4.5,-0.12,212.0,744.0,28.5,780.0,86.0,61.8,42.2,292.0,89.7,58.3,487.0,12.0,2.5,25.0,0.66,12.8,118.0,13.0,29.5,3.11,0.09,0.3,0.11,-7.3,-8.0,12926.0,17419.0,74.2,232123.0,85512.0,5724.0,6738.0,85.0,5450.0,6669.0,81.7,1405.0,2918.0,48.1,304.0,1088.0,289.0,67.0,1490.0,15491.0,1823.0,551.0,10.0,102.0,732.0,185.0,64.0,107.0,0.0,711.0,105.0,343.0,682.0,17.95,485.0,75.0,33.0,34.0,47.0,71.0,1.87,54.0,3.0,6.0,3.0,4.0,1.0,465.0,269.0,224.0,183.0,58.0,173.0,413.0,41.9,240.0,374.0,144.0,230.0,492.0,756.0,12.0,21344.0,2127.0,6507.0,9961.0,5150.0,706.0,21341.0,292.0,479.0,61.0,11100.0,599.0,457.0,138.0,12789.0,578.0,309.0,0.0,622.0,520.0,108.0,3.0,7.0,2.0,2214.0,749.0,832.0,47.4
-Inter,25.0,52.5,38.0,418.0,3420.0,84.0,62.0,8.0,9.0,61.0,2.0,2.21,1.63,3.84,2.0,3.63,74.2,67.2,1.95,1.77,38.0,38.0,3420.0,35.0,0.92,118.0,82.0,74.6,28.0,7.0,3.0,14.0,36.8,7.0,5.0,2.0,0.0,38.0,1.0,3.0,1.0,33.3,0.23,-0.7,-0.02,91.0,202.0,45.0,967.0,172.0,16.2,26.3,180.0,25.0,29.6,474.0,13.0,2.7,26.0,0.68,14.8,194.0,17.0,35.7,5.11,0.14,0.39,0.13,9.8,8.8,18384.0,21624.0,85.0,321565.0,102857.0,8126.0,8970.0,90.6,7965.0,8842.0,90.1,1776.0,2636.0,67.4,422.0,1361.0,395.0,96.0,1707.0,19951.0,1608.0,450.0,29.0,152.0,702.0,206.0,64.0,85.0,0.0,651.0,65.0,355.0,985.0,25.92,754.0,76.0,44.0,55.0,38.0,150.0,3.95,114.0,6.0,8.0,12.0,8.0,2.0,506.0,286.0,214.0,206.0,86.0,213.0,527.0,40.4,314.0,383.0,102.0,281.0,371.0,582.0,8.0,25312.0,2417.0,7654.0,11562.0,6304.0,1012.0,25303.0,260.0,454.0,57.3,14452.0,766.0,517.0,198.0,18210.0,543.0,262.0,1.0,472.0,426.0,65.0,6.0,7.0,1.0,1814.0,439.0,428.0,50.6
-Juventus,30.0,56.9,38.0,418.0,3420.0,76.0,59.0,8.0,10.0,80.0,6.0,2.0,1.55,3.55,1.79,3.34,74.4,67.0,1.96,1.76,38.0,38.0,3420.0,38.0,1.0,121.0,82.0,73.6,23.0,9.0,6.0,8.0,21.1,9.0,6.0,3.0,0.0,38.0,1.0,4.0,2.0,36.4,0.23,0.4,0.01,101.0,211.0,47.9,1090.0,177.0,16.5,26.7,242.0,12.8,22.7,523.0,13.0,2.5,47.0,1.24,16.1,206.0,23.0,35.2,5.42,0.12,0.33,0.12,1.6,1.0,19839.0,23031.0,86.1,353120.0,113338.0,8475.0,9273.0,91.4,8934.0,9758.0,91.6,1969.0,2877.0,68.4,470.0,1454.0,356.0,89.0,1768.0,21302.0,1636.0,496.0,25.0,158.0,754.0,221.0,53.0,121.0,0.0,576.0,93.0,326.0,1061.0,27.92,777.0,86.0,74.0,68.0,46.0,134.0,3.53,94.0,4.0,13.0,14.0,6.0,3.0,566.0,323.0,244.0,242.0,80.0,243.0,612.0,39.7,369.0,390.0,114.0,276.0,458.0,581.0,14.0,27067.0,2595.0,7973.0,12836.0,6507.0,1068.0,27057.0,451.0,684.0,65.9,15418.0,949.0,696.0,272.0,19722.0,581.0,300.0,2.0,505.0,470.0,93.0,8.0,9.0,2.0,1941.0,426.0,378.0,53.0
-Lazio,30.0,53.0,38.0,418.0,3420.0,59.0,40.0,6.0,10.0,107.0,5.0,1.55,1.05,2.61,1.39,2.45,58.2,50.7,1.53,1.33,38.0,38.0,3420.0,55.0,1.45,151.0,98.0,70.2,21.0,5.0,12.0,12.0,31.6,10.0,10.0,0.0,0.0,38.0,0.0,7.0,2.0,50.2,0.27,-2.8,-0.07,181.0,385.0,47.0,1270.0,174.0,27.4,30.4,202.0,18.3,25.0,491.0,13.0,2.6,22.0,0.58,13.9,175.0,14.0,34.0,4.61,0.1,0.3,0.1,0.8,2.3,16972.0,20795.0,81.6,304863.0,108222.0,7366.0,8356.0,88.2,7099.0,8110.0,87.5,2007.0,3161.0,63.5,391.0,1479.0,398.0,115.0,1688.0,19069.0,1639.0,468.0,25.0,151.0,744.0,189.0,97.0,63.0,1.0,653.0,87.0,346.0,937.0,24.66,733.0,53.0,47.0,55.0,33.0,103.0,2.71,75.0,1.0,8.0,9.0,9.0,1.0,595.0,346.0,284.0,244.0,67.0,254.0,678.0,37.5,424.0,404.0,92.0,312.0,445.0,649.0,7.0,24888.0,2487.0,7653.0,11527.0,5958.0,883.0,24878.0,297.0,553.0,53.7,14348.0,785.0,618.0,171.0,16794.0,553.0,304.0,3.0,498.0,427.0,87.0,8.0,10.0,2.0,2132.0,539.0,510.0,51.4
-Milan,29.0,51.7,38.0,418.0,3420.0,72.0,47.0,15.0,20.0,83.0,4.0,1.89,1.24,3.13,1.5,2.74,70.7,56.0,1.86,1.47,38.0,38.0,3420.0,41.0,1.08,133.0,92.0,71.4,24.0,7.0,7.0,14.0,36.8,5.0,3.0,1.0,1.0,38.0,2.0,8.0,1.0,38.1,0.27,-1.9,-0.05,153.0,368.0,41.6,1043.0,156.0,26.9,28.8,211.0,41.2,33.6,568.0,29.0,5.1,43.0,1.13,14.7,184.0,30.0,34.3,4.84,0.11,0.31,0.11,1.3,1.0,15889.0,19459.0,81.7,275188.0,97709.0,7279.0,8168.0,89.1,6493.0,7406.0,87.7,1617.0,2709.0,59.7,408.0,1250.0,346.0,80.0,1483.0,17686.0,1681.0,491.0,20.0,140.0,688.0,213.0,98.0,78.0,0.0,646.0,92.0,309.0,983.0,25.87,684.0,86.0,54.0,75.0,75.0,129.0,3.39,85.0,11.0,5.0,10.0,15.0,3.0,627.0,357.0,299.0,257.0,71.0,276.0,605.0,45.6,329.0,435.0,133.0,302.0,382.0,732.0,13.0,23790.0,2347.0,7303.0,10849.0,5914.0,944.0,23770.0,415.0,670.0,61.9,13083.0,784.0,562.0,187.0,15747.0,616.0,299.0,1.0,513.0,474.0,92.0,15.0,5.0,1.0,2069.0,567.0,539.0,51.3
-Napoli,25.0,55.1,38.0,418.0,3420.0,83.0,56.0,7.0,8.0,76.0,3.0,2.18,1.47,3.66,2.0,3.47,67.7,61.4,1.78,1.62,38.0,38.0,3420.0,41.0,1.08,123.0,83.0,70.7,24.0,5.0,9.0,14.0,36.8,5.0,5.0,0.0,0.0,38.0,1.0,3.0,1.0,40.1,0.29,0.1,0.0,92.0,196.0,46.9,998.0,147.0,17.3,26.7,150.0,15.3,23.1,433.0,23.0,5.3,24.0,0.63,12.9,217.0,25.0,34.1,5.71,0.12,0.35,0.1,15.3,14.6,18892.0,22210.0,85.1,319926.0,104978.0,9198.0,10054.0,91.5,7244.0,8103.0,89.4,1879.0,2799.0,67.1,479.0,1325.0,363.0,69.0,1703.0,20306.0,1832.0,611.0,27.0,198.0,665.0,219.0,85.0,66.0,0.0,699.0,72.0,345.0,1119.0,29.45,834.0,67.0,74.0,69.0,53.0,142.0,3.74,90.0,6.0,18.0,12.0,13.0,3.0,574.0,345.0,280.0,213.0,81.0,257.0,635.0,40.5,378.0,381.0,98.0,283.0,369.0,532.0,17.0,25980.0,2237.0,7377.0,12383.0,6476.0,987.0,25972.0,386.0,628.0,61.5,16098.0,884.0,614.0,236.0,18764.0,482.0,255.0,2.0,386.0,548.0,72.0,7.0,5.0,1.0,1923.0,414.0,404.0,50.6
-Parma,42.0,47.8,38.0,418.0,3420.0,39.0,26.0,5.0,5.0,91.0,1.0,1.03,0.68,1.71,0.89,1.58,42.5,38.6,1.12,1.01,38.0,38.0,3420.0,83.0,2.18,191.0,111.0,58.1,3.0,11.0,24.0,5.0,13.2,3.0,3.0,0.0,0.0,38.0,0.0,10.0,3.0,61.2,0.31,-18.8,-0.49,315.0,584.0,53.9,1206.0,188.0,38.6,34.5,285.0,41.4,37.0,646.0,16.0,2.5,24.0,0.63,13.6,123.0,20.0,31.4,3.24,0.09,0.28,0.1,-3.5,-4.6,14837.0,18427.0,80.5,288732.0,105937.0,5771.0,6609.0,87.3,6553.0,7501.0,87.4,2179.0,3355.0,64.9,286.0,1074.0,238.0,90.0,1319.0,16577.0,1772.0,542.0,15.0,188.0,643.0,154.0,52.0,68.0,1.0,654.0,78.0,327.0,696.0,18.32,495.0,60.0,51.0,38.0,42.0,70.0,1.84,51.0,4.0,6.0,3.0,6.0,0.0,585.0,317.0,317.0,215.0,53.0,269.0,695.0,38.7,426.0,412.0,116.0,296.0,463.0,806.0,14.0,22445.0,2749.0,8081.0,10168.0,4419.0,646.0,22440.0,362.0,589.0,61.5,12613.0,607.0,448.0,136.0,14679.0,561.0,292.0,0.0,525.0,481.0,78.0,4.0,3.0,3.0,1803.0,630.0,474.0,57.1
-Roma,31.0,52.2,38.0,418.0,3420.0,67.0,51.0,7.0,8.0,91.0,3.0,1.76,1.34,3.11,1.58,2.92,65.3,59.0,1.72,1.55,38.0,38.0,3420.0,55.0,1.45,167.0,114.0,70.1,18.0,8.0,12.0,11.0,28.9,6.0,5.0,1.0,0.0,38.0,2.0,5.0,3.0,46.8,0.25,-5.2,-0.14,122.0,323.0,37.8,993.0,201.0,25.2,30.3,214.0,34.1,33.1,386.0,12.0,3.1,55.0,1.45,18.1,191.0,14.0,35.6,5.03,0.11,0.31,0.12,1.7,1.0,16561.0,19977.0,82.9,303327.0,98451.0,6898.0,7773.0,88.7,7551.0,8390.0,90.0,1810.0,2923.0,61.9,395.0,1207.0,328.0,68.0,1583.0,18303.0,1615.0,527.0,57.0,133.0,679.0,213.0,91.0,98.0,1.0,562.0,59.0,323.0,911.0,23.97,663.0,70.0,60.0,69.0,31.0,121.0,3.18,90.0,8.0,10.0,6.0,6.0,1.0,478.0,273.0,192.0,218.0,68.0,206.0,582.0,35.4,376.0,360.0,83.0,277.0,489.0,521.0,26.0,23628.0,2212.0,6881.0,11582.0,5422.0,832.0,23620.0,397.0,663.0,59.9,13392.0,863.0,613.0,198.0,16417.0,510.0,224.0,3.0,553.0,425.0,62.0,6.0,6.0,3.0,1894.0,428.0,414.0,50.8
-Sampdoria,27.0,45.2,38.0,418.0,3420.0,52.0,37.0,5.0,6.0,83.0,3.0,1.37,0.97,2.34,1.24,2.21,45.4,41.1,1.2,1.08,38.0,38.0,3420.0,54.0,1.42,174.0,119.0,73.0,15.0,7.0,16.0,7.0,18.4,9.0,7.0,2.0,0.0,38.0,1.0,6.0,1.0,52.1,0.25,-0.9,-0.02,214.0,548.0,39.1,1015.0,187.0,37.5,34.7,264.0,63.3,45.1,580.0,12.0,2.1,35.0,0.92,14.6,134.0,15.0,31.8,3.53,0.11,0.35,0.1,6.6,5.9,13423.0,17643.0,76.1,241858.0,92319.0,6023.0,7007.0,86.0,5353.0,6512.0,82.2,1630.0,3045.0,53.5,321.0,1006.0,265.0,76.0,1370.0,15658.0,1923.0,609.0,7.0,187.0,787.0,199.0,65.0,96.0,0.0,758.0,62.0,338.0,717.0,18.87,503.0,73.0,31.0,53.0,38.0,85.0,2.24,57.0,7.0,7.0,9.0,5.0,0.0,576.0,326.0,275.0,235.0,66.0,251.0,634.0,39.6,383.0,470.0,154.0,316.0,453.0,745.0,6.0,21722.0,2527.0,7324.0,9501.0,5135.0,697.0,21716.0,292.0,484.0,60.3,11276.0,588.0,441.0,115.0,13319.0,566.0,287.0,1.0,509.0,485.0,62.0,3.0,9.0,1.0,2048.0,628.0,597.0,51.3
-Sassuolo,28.0,60.3,38.0,418.0,3420.0,61.0,36.0,13.0,14.0,79.0,4.0,1.61,0.95,2.55,1.26,2.21,58.4,47.7,1.54,1.26,38.0,38.0,3420.0,56.0,1.47,186.0,130.0,72.0,17.0,11.0,10.0,8.0,21.1,5.0,4.0,1.0,0.0,38.0,0.0,4.0,1.0,53.8,0.27,-1.2,-0.03,118.0,320.0,36.9,1128.0,174.0,23.8,27.6,248.0,21.0,23.7,528.0,27.0,5.1,35.0,0.92,15.1,164.0,25.0,31.8,4.32,0.09,0.29,0.09,2.6,0.3,20368.0,23660.0,86.1,329660.0,107912.0,10297.0,11141.0,92.4,7918.0,8787.0,90.1,1539.0,2467.0,62.4,381.0,1539.0,353.0,46.0,1746.0,21905.0,1698.0,549.0,22.0,110.0,588.0,208.0,81.0,82.0,0.0,574.0,57.0,320.0,951.0,25.03,705.0,61.0,66.0,53.0,53.0,109.0,2.87,71.0,5.0,7.0,9.0,14.0,3.0,528.0,310.0,276.0,164.0,88.0,241.0,543.0,44.4,302.0,383.0,141.0,242.0,426.0,629.0,11.0,27665.0,2623.0,8137.0,13257.0,6493.0,844.0,27651.0,428.0,718.0,59.6,16432.0,770.0,625.0,182.0,20177.0,573.0,313.0,2.0,494.0,475.0,57.0,12.0,5.0,1.0,1850.0,408.0,450.0,47.6
-Spezia,35.0,51.9,38.0,418.0,3420.0,52.0,37.0,4.0,5.0,100.0,5.0,1.37,0.97,2.34,1.26,2.24,46.6,42.7,1.23,1.12,38.0,38.0,3420.0,72.0,1.89,178.0,105.0,64.6,9.0,12.0,17.0,5.0,13.2,10.0,9.0,1.0,0.0,38.0,1.0,6.0,0.0,63.8,0.31,-8.2,-0.22,234.0,625.0,37.4,1610.0,188.0,33.3,33.9,204.0,43.6,40.2,407.0,16.0,3.9,59.0,1.55,17.2,130.0,10.0,34.0,3.42,0.13,0.37,0.12,5.4,5.3,15563.0,19566.0,79.5,303340.0,99199.0,6095.0,6927.0,88.0,6763.0,7842.0,86.2,2379.0,3847.0,61.8,289.0,1132.0,253.0,69.0,1388.0,17599.0,1885.0,677.0,16.0,201.0,602.0,150.0,9.0,98.0,0.0,744.0,82.0,338.0,664.0,17.47,488.0,55.0,33.0,47.0,29.0,88.0,2.32,57.0,8.0,3.0,12.0,6.0,2.0,568.0,320.0,264.0,223.0,81.0,265.0,617.0,42.9,352.0,364.0,101.0,263.0,394.0,551.0,12.0,23297.0,2444.0,7773.0,10504.0,5278.0,756.0,23292.0,322.0,528.0,61.0,13646.0,627.0,452.0,174.0,15415.0,606.0,295.0,4.0,588.0,529.0,82.0,5.0,10.0,0.0,2001.0,537.0,568.0,48.6
-Torino,29.0,47.3,38.0,418.0,3420.0,49.0,28.0,5.0,6.0,78.0,4.0,1.29,0.74,2.03,1.16,1.89,50.0,45.3,1.32,1.19,38.0,38.0,3420.0,69.0,1.82,157.0,88.0,61.8,7.0,16.0,15.0,8.0,21.1,10.0,9.0,0.0,1.0,38.0,1.0,6.0,0.0,56.0,0.3,-13.0,-0.34,190.0,495.0,38.4,897.0,130.0,38.0,34.0,309.0,49.8,38.4,569.0,12.0,2.1,31.0,0.82,15.5,144.0,40.0,31.5,3.79,0.1,0.31,0.1,-1.0,-1.3,13369.0,17163.0,77.9,240588.0,86398.0,6122.0,6894.0,88.8,5209.0,6234.0,83.6,1675.0,3057.0,54.8,309.0,958.0,236.0,96.0,1138.0,15195.0,1909.0,659.0,23.0,210.0,740.0,171.0,39.0,110.0,0.0,663.0,59.0,314.0,794.0,20.89,503.0,84.0,48.0,70.0,74.0,80.0,2.11,45.0,8.0,5.0,13.0,8.0,1.0,530.0,306.0,241.0,205.0,84.0,247.0,569.0,43.4,322.0,412.0,127.0,285.0,444.0,727.0,13.0,21242.0,2335.0,7170.0,9771.0,4561.0,660.0,21236.0,388.0,635.0,61.1,11765.0,617.0,474.0,99.0,13252.0,576.0,297.0,3.0,577.0,602.0,59.0,6.0,10.0,0.0,1968.0,595.0,622.0,48.9
-Udinese,33.0,46.3,38.0,418.0,3420.0,40.0,30.0,4.0,4.0,65.0,2.0,1.05,0.79,1.84,0.95,1.74,45.7,42.9,1.2,1.13,38.0,38.0,3420.0,58.0,1.53,159.0,101.0,72.3,10.0,10.0,18.0,8.0,21.1,14.0,14.0,0.0,0.0,38.0,2.0,2.0,0.0,56.4,0.27,-1.6,-0.04,181.0,411.0,44.0,811.0,182.0,36.3,32.9,273.0,42.9,35.4,533.0,26.0,4.9,18.0,0.47,13.0,125.0,13.0,30.5,3.29,0.09,0.29,0.11,-5.7,-6.9,13917.0,17414.0,79.9,242519.0,89246.0,6417.0,7237.0,88.7,5667.0,6618.0,85.6,1389.0,2492.0,55.7,294.0,1041.0,270.0,70.0,1405.0,15576.0,1756.0,574.0,21.0,101.0,703.0,163.0,50.0,83.0,0.0,651.0,82.0,307.0,706.0,18.58,509.0,53.0,44.0,42.0,44.0,67.0,1.76,45.0,3.0,9.0,5.0,5.0,0.0,502.0,294.0,264.0,199.0,39.0,209.0,547.0,38.2,338.0,428.0,131.0,297.0,440.0,683.0,8.0,21424.0,2297.0,6915.0,9602.0,5119.0,737.0,21420.0,376.0,611.0,61.5,12449.0,672.0,502.0,145.0,13800.0,604.0,330.0,1.0,511.0,522.0,82.0,3.0,14.0,0.0,1853.0,491.0,442.0,52.6
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diff --git a/fbref_data/season2021/teams_vs.csv b/fbref_data/season2021/teams_vs.csv
index 9f414e2..bc582c2 100644
--- a/fbref_data/season2021/teams_vs.csv
+++ b/fbref_data/season2021/teams_vs.csv
@@ -1,21 +1,21 @@
-team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-vs Atalanta,30.0,45.1,38.0,418.0,3420.0,46.0,36.0,5.0,8.0,87.0,4.0,1.21,0.95,2.16,1.08,2.03,41.0,34.7,1.08,0.91,38.0,38.0,3420.0,90.0,2.37,228.0,137.0,63.2,6.0,9.0,23.0,5.0,13.2,7.0,6.0,1.0,0.0,38.0,1.0,6.0,0.0,76.8,0.31,-13.2,-0.35,240.0,673.0,35.7,1395.0,170.0,37.8,33.6,312.0,46.5,36.8,497.0,10.0,2.0,35.0,0.92,14.4,104.0,14.0,32.8,2.74,0.13,0.39,0.11,5.0,6.3,14274.0,18377.0,77.7,251869.0,98214.0,6531.0,7491.0,87.2,5707.0,6754.0,84.5,1605.0,3053.0,52.6,228.0,885.0,201.0,43.0,1038.0,16502.0,1835.0,609.0,18.0,89.0,460.0,120.0,48.0,53.0,0.0,640.0,40.0,351.0,543.0,14.29,365.0,44.0,46.0,39.0,43.0,76.0,2.0,52.0,4.0,9.0,6.0,5.0,0.0,716.0,407.0,418.0,243.0,55.0,310.0,706.0,43.9,396.0,494.0,151.0,343.0,528.0,717.0,15.0,22821.0,3113.0,9294.0,9985.0,3778.0,515.0,22813.0,326.0,591.0,55.2,12053.0,549.0,387.0,109.0,14104.0,646.0,341.0,3.0,504.0,548.0,40.0,5.0,7.0,0.0,2251.0,506.0,633.0,44.4
-vs Benevento,29.0,57.7,38.0,418.0,3420.0,69.0,52.0,4.0,5.0,76.0,6.0,1.82,1.37,3.18,1.71,3.08,64.3,60.5,1.69,1.59,38.0,38.0,3420.0,40.0,1.05,134.0,93.0,73.9,19.0,12.0,7.0,11.0,28.9,7.0,5.0,1.0,1.0,38.0,0.0,11.0,0.0,36.1,0.23,-3.9,-0.1,112.0,284.0,39.4,828.0,172.0,24.2,29.2,226.0,37.2,33.0,528.0,25.0,4.7,35.0,0.92,15.1,172.0,19.0,34.5,4.53,0.13,0.38,0.12,4.7,4.5,17253.0,20935.0,82.4,307344.0,101369.0,7571.0,8475.0,89.3,7286.0,8312.0,87.7,1892.0,2975.0,63.6,365.0,1447.0,365.0,87.0,1804.0,19091.0,1750.0,525.0,25.0,214.0,808.0,230.0,83.0,103.0,0.0,686.0,94.0,303.0,896.0,23.58,663.0,68.0,49.0,62.0,36.0,123.0,3.24,89.0,2.0,13.0,14.0,3.0,2.0,468.0,267.0,206.0,181.0,81.0,179.0,452.0,39.6,273.0,369.0,115.0,254.0,384.0,680.0,14.0,24758.0,2107.0,6514.0,12042.0,6453.0,874.0,24753.0,403.0,647.0,62.3,14210.0,862.0,674.0,157.0,17121.0,554.0,268.0,1.0,621.0,463.0,94.0,4.0,7.0,0.0,1854.0,615.0,496.0,55.4
-vs Bologna,37.0,49.1,38.0,418.0,3420.0,63.0,40.0,7.0,9.0,84.0,1.0,1.66,1.05,2.71,1.47,2.53,62.6,56.1,1.65,1.48,38.0,38.0,3420.0,51.0,1.34,179.0,129.0,73.2,17.0,11.0,10.0,11.0,28.9,4.0,3.0,1.0,0.0,38.0,0.0,5.0,2.0,56.1,0.29,7.1,0.19,200.0,564.0,35.5,1041.0,149.0,40.0,34.4,238.0,62.2,44.5,505.0,20.0,4.0,32.0,0.84,15.4,184.0,21.0,34.7,4.84,0.11,0.3,0.11,0.4,-0.1,13987.0,18055.0,77.5,246193.0,91104.0,6350.0,7321.0,86.7,5701.0,6734.0,84.7,1502.0,2841.0,52.9,404.0,1151.0,380.0,85.0,1577.0,16065.0,1919.0,572.0,27.0,105.0,713.0,220.0,84.0,105.0,0.0,753.0,71.0,364.0,936.0,24.63,702.0,63.0,55.0,56.0,42.0,103.0,2.71,63.0,8.0,10.0,14.0,7.0,1.0,588.0,348.0,281.0,241.0,66.0,283.0,628.0,45.1,345.0,424.0,128.0,296.0,432.0,637.0,15.0,22130.0,2268.0,6625.0,9662.0,6082.0,905.0,22121.0,329.0,540.0,60.9,11633.0,713.0,579.0,184.0,13860.0,575.0,333.0,0.0,495.0,495.0,71.0,6.0,4.0,2.0,2024.0,594.0,564.0,51.3
-vs Cagliari,32.0,55.4,38.0,418.0,3420.0,59.0,45.0,5.0,5.0,76.0,5.0,1.55,1.18,2.74,1.42,2.61,61.7,57.8,1.62,1.52,38.0,38.0,3420.0,43.0,1.13,127.0,83.0,69.3,19.0,10.0,9.0,14.0,36.8,5.0,4.0,1.0,0.0,38.0,2.0,8.0,0.0,41.2,0.29,-1.8,-0.05,159.0,399.0,39.8,987.0,144.0,29.0,30.5,277.0,40.8,35.9,585.0,25.0,4.3,34.0,0.89,14.1,198.0,20.0,36.0,5.21,0.1,0.27,0.11,-2.7,-3.8,17136.0,20838.0,82.2,308580.0,107013.0,7398.0,8254.0,89.6,7249.0,8225.0,88.1,1968.0,3174.0,62.0,409.0,1300.0,394.0,94.0,1631.0,18879.0,1876.0,546.0,31.0,210.0,778.0,219.0,68.0,105.0,0.0,744.0,83.0,344.0,972.0,25.58,715.0,80.0,56.0,71.0,42.0,107.0,2.82,79.0,6.0,7.0,8.0,5.0,2.0,550.0,312.0,248.0,229.0,73.0,269.0,605.0,44.5,336.0,410.0,116.0,294.0,414.0,706.0,9.0,25040.0,2383.0,7878.0,11331.0,6066.0,965.0,25035.0,378.0,647.0,58.4,14017.0,790.0,534.0,193.0,17008.0,593.0,320.0,3.0,507.0,496.0,83.0,4.0,5.0,0.0,1920.0,602.0,637.0,48.6
-vs Crotone,31.0,53.6,38.0,418.0,3420.0,90.0,68.0,5.0,5.0,90.0,5.0,2.37,1.79,4.16,2.24,4.03,70.8,67.0,1.86,1.76,38.0,38.0,3420.0,45.0,1.18,120.0,76.0,70.0,27.0,5.0,6.0,14.0,36.8,9.0,9.0,0.0,0.0,38.0,1.0,3.0,1.0,39.3,0.26,-4.7,-0.12,169.0,446.0,37.9,951.0,160.0,33.5,32.5,225.0,56.4,40.6,410.0,25.0,6.1,36.0,0.95,14.6,211.0,30.0,35.9,5.55,0.14,0.4,0.12,19.2,18.0,16340.0,20121.0,81.2,289160.0,100650.0,7450.0,8306.0,89.7,6506.0,7545.0,86.2,1856.0,3072.0,60.4,454.0,1315.0,342.0,83.0,1680.0,18196.0,1822.0,550.0,31.0,171.0,754.0,228.0,85.0,106.0,0.0,708.0,103.0,318.0,1045.0,27.5,761.0,93.0,56.0,65.0,49.0,160.0,4.21,124.0,6.0,8.0,13.0,6.0,3.0,602.0,361.0,240.0,267.0,95.0,237.0,622.0,38.1,385.0,375.0,83.0,292.0,423.0,522.0,8.0,24021.0,2011.0,6398.0,11417.0,6479.0,964.0,24016.0,331.0,556.0,59.5,13347.0,769.0,559.0,229.0,16186.0,578.0,315.0,2.0,524.0,499.0,103.0,4.0,9.0,1.0,2130.0,534.0,472.0,53.1
-vs Fiorentina,30.0,53.8,38.0,418.0,3420.0,57.0,39.0,8.0,11.0,81.0,2.0,1.5,1.03,2.53,1.29,2.32,61.5,52.8,1.62,1.39,38.0,38.0,3420.0,47.0,1.24,121.0,77.0,66.1,16.0,13.0,9.0,12.0,31.6,6.0,6.0,0.0,0.0,38.0,1.0,5.0,3.0,42.6,0.31,-1.4,-0.04,151.0,334.0,45.2,946.0,163.0,25.8,30.1,236.0,38.1,34.3,587.0,21.0,3.6,39.0,1.03,14.8,141.0,21.0,31.8,3.71,0.11,0.35,0.12,-4.5,-3.8,16140.0,19765.0,81.7,283269.0,95682.0,7197.0,8103.0,88.8,6843.0,7848.0,87.2,1624.0,2761.0,58.8,339.0,1166.0,286.0,71.0,1491.0,17944.0,1727.0,551.0,31.0,111.0,692.0,169.0,59.0,72.0,0.0,677.0,94.0,268.0,799.0,21.03,568.0,72.0,51.0,53.0,46.0,103.0,2.71,74.0,10.0,5.0,7.0,7.0,0.0,672.0,369.0,334.0,262.0,76.0,250.0,575.0,43.5,325.0,351.0,86.0,265.0,380.0,753.0,10.0,23781.0,2263.0,7326.0,11387.0,5318.0,745.0,23770.0,315.0,544.0,57.9,13983.0,749.0,527.0,166.0,15983.0,534.0,267.0,1.0,545.0,500.0,94.0,9.0,6.0,3.0,1915.0,544.0,538.0,50.3
-vs Genoa,34.0,60.0,38.0,418.0,3420.0,56.0,40.0,7.0,7.0,69.0,1.0,1.47,1.05,2.53,1.29,2.34,60.5,55.4,1.59,1.46,38.0,38.0,3420.0,47.0,1.24,124.0,78.0,65.3,16.0,12.0,10.0,9.0,23.7,4.0,4.0,0.0,0.0,38.0,0.0,3.0,1.0,38.0,0.28,-8.0,-0.21,171.0,396.0,43.2,1091.0,171.0,28.0,31.3,187.0,48.1,38.2,460.0,17.0,3.7,32.0,0.84,15.6,181.0,24.0,33.8,4.76,0.09,0.27,0.11,-4.5,-6.4,18018.0,22063.0,81.7,324550.0,110134.0,7816.0,8874.0,88.1,7685.0,8822.0,87.1,2064.0,3228.0,63.9,406.0,1383.0,348.0,83.0,1796.0,20224.0,1802.0,559.0,21.0,116.0,779.0,214.0,84.0,100.0,0.0,740.0,37.0,363.0,949.0,24.97,695.0,82.0,63.0,39.0,58.0,96.0,2.53,68.0,5.0,10.0,6.0,7.0,0.0,551.0,328.0,256.0,216.0,79.0,246.0,540.0,45.6,294.0,367.0,91.0,276.0,443.0,579.0,10.0,26112.0,2165.0,7336.0,12568.0,6448.0,889.0,26105.0,385.0,640.0,60.2,15101.0,813.0,585.0,190.0,17865.0,654.0,300.0,0.0,502.0,501.0,37.0,7.0,4.0,1.0,2197.0,643.0,505.0,56.0
-vs Hellas Verona,32.0,50.2,38.0,418.0,3420.0,46.0,31.0,6.0,7.0,81.0,2.0,1.21,0.82,2.03,1.05,1.87,49.5,44.6,1.3,1.17,38.0,38.0,3420.0,43.0,1.13,121.0,83.0,66.9,15.0,12.0,11.0,9.0,23.7,3.0,3.0,0.0,0.0,38.0,1.0,3.0,5.0,37.6,0.29,-0.4,-0.01,255.0,654.0,39.0,1218.0,146.0,43.4,36.7,235.0,53.2,39.4,549.0,23.0,4.2,35.0,0.92,14.1,139.0,21.0,26.2,3.66,0.08,0.29,0.09,-3.5,-4.6,13153.0,17584.0,74.8,236703.0,96247.0,5875.0,6988.0,84.1,5335.0,6567.0,81.2,1582.0,3092.0,51.2,381.0,1065.0,284.0,80.0,1263.0,15609.0,1936.0,677.0,16.0,102.0,657.0,181.0,71.0,81.0,0.0,732.0,39.0,281.0,900.0,23.68,637.0,81.0,35.0,76.0,57.0,78.0,2.05,51.0,4.0,4.0,10.0,9.0,0.0,496.0,297.0,257.0,195.0,44.0,187.0,479.0,39.0,292.0,396.0,107.0,289.0,476.0,632.0,5.0,21619.0,2443.0,7204.0,9606.0,5054.0,850.0,21612.0,240.0,413.0,58.1,11223.0,546.0,421.0,180.0,12987.0,608.0,292.0,1.0,557.0,593.0,42.0,6.0,3.0,5.0,2102.0,832.0,749.0,52.6
-vs Inter,25.0,47.6,38.0,418.0,3420.0,34.0,19.0,5.0,7.0,84.0,3.0,0.89,0.5,1.39,0.76,1.26,39.8,34.4,1.05,0.9,38.0,38.0,3420.0,89.0,2.34,203.0,118.0,60.1,3.0,7.0,28.0,1.0,2.6,9.0,8.0,1.0,0.0,38.0,1.0,9.0,5.0,73.1,0.32,-10.9,-0.29,178.0,446.0,39.9,1014.0,161.0,31.7,33.1,281.0,44.5,37.4,526.0,15.0,2.9,32.0,0.84,13.6,111.0,14.0,29.3,2.92,0.08,0.26,0.09,-5.8,-5.4,16623.0,19839.0,83.8,291963.0,92665.0,7618.0,8362.0,91.1,6878.0,7716.0,89.1,1735.0,2771.0,62.6,298.0,1172.0,243.0,78.0,1279.0,18237.0,1570.0,515.0,15.0,166.0,613.0,137.0,45.0,64.0,0.0,502.0,32.0,329.0,679.0,17.87,504.0,58.0,30.0,33.0,41.0,57.0,1.5,39.0,2.0,3.0,7.0,4.0,2.0,455.0,264.0,238.0,164.0,53.0,193.0,453.0,42.6,260.0,414.0,126.0,288.0,414.0,693.0,11.0,23488.0,2594.0,7409.0,10843.0,5440.0,615.0,23481.0,314.0,527.0,59.6,14098.0,667.0,582.0,125.0,16520.0,472.0,294.0,1.0,444.0,439.0,32.0,5.0,9.0,5.0,1690.0,428.0,439.0,49.4
-vs Juventus,30.0,42.9,38.0,418.0,3420.0,36.0,21.0,6.0,9.0,85.0,2.0,0.95,0.55,1.5,0.79,1.34,39.4,32.3,1.04,0.85,38.0,38.0,3420.0,77.0,2.03,216.0,138.0,68.1,6.0,9.0,23.0,6.0,15.8,10.0,8.0,2.0,0.0,38.0,0.0,10.0,1.0,73.8,0.31,-2.2,-0.06,199.0,460.0,43.3,930.0,149.0,36.1,33.3,264.0,47.0,37.7,560.0,10.0,1.8,17.0,0.45,12.2,112.0,23.0,26.4,2.95,0.07,0.27,0.08,-3.4,-2.3,14407.0,17590.0,81.9,248758.0,88166.0,6912.0,7665.0,90.2,5569.0,6456.0,86.3,1512.0,2503.0,60.4,315.0,1142.0,270.0,78.0,1355.0,15813.0,1737.0,565.0,12.0,152.0,644.0,162.0,47.0,78.0,1.0,607.0,40.0,318.0,737.0,19.39,545.0,55.0,50.0,32.0,44.0,54.0,1.42,36.0,4.0,1.0,3.0,9.0,1.0,533.0,303.0,248.0,202.0,83.0,233.0,684.0,34.1,451.0,427.0,153.0,274.0,402.0,699.0,7.0,21560.0,2598.0,6982.0,9238.0,5568.0,679.0,21551.0,369.0,612.0,60.3,12552.0,690.0,553.0,159.0,14305.0,535.0,323.0,1.0,490.0,483.0,40.0,6.0,10.0,1.0,1805.0,378.0,426.0,47.0
-vs Lazio,30.0,46.9,38.0,418.0,3420.0,53.0,33.0,10.0,10.0,87.0,3.0,1.39,0.87,2.26,1.13,2.0,47.3,38.9,1.24,1.02,38.0,38.0,3420.0,61.0,1.61,184.0,122.0,70.1,12.0,5.0,21.0,6.0,15.8,10.0,6.0,3.0,1.0,38.0,4.0,2.0,2.0,57.9,0.27,-1.1,-0.03,163.0,414.0,39.4,945.0,204.0,31.2,32.6,277.0,43.0,38.1,619.0,20.0,3.2,37.0,0.97,13.6,141.0,12.0,36.1,3.71,0.11,0.3,0.1,5.7,4.1,14738.0,18534.0,79.5,265774.0,93729.0,6493.0,7369.0,88.1,6147.0,7163.0,85.8,1723.0,2959.0,58.2,303.0,1117.0,244.0,67.0,1325.0,16710.0,1781.0,559.0,6.0,172.0,628.0,170.0,68.0,79.0,0.0,666.0,43.0,363.0,706.0,18.58,487.0,67.0,49.0,41.0,47.0,97.0,2.55,58.0,9.0,10.0,6.0,11.0,3.0,560.0,292.0,270.0,211.0,79.0,256.0,553.0,46.3,297.0,420.0,124.0,296.0,453.0,781.0,13.0,22633.0,2462.0,7359.0,10690.0,4827.0,671.0,22623.0,424.0,678.0,62.5,12738.0,715.0,503.0,137.0,14643.0,585.0,341.0,1.0,454.0,480.0,43.0,10.0,10.0,2.0,2054.0,510.0,539.0,48.6
-vs Milan,29.0,48.1,38.0,418.0,3420.0,40.0,26.0,3.0,5.0,83.0,4.0,1.05,0.68,1.74,0.97,1.66,47.0,43.1,1.24,1.14,38.0,38.0,3420.0,74.0,1.95,203.0,127.0,70.9,7.0,7.0,24.0,6.0,15.8,20.0,15.0,4.0,1.0,38.0,1.0,8.0,2.0,72.9,0.27,0.9,0.02,212.0,491.0,43.2,1038.0,176.0,34.1,32.6,272.0,50.4,39.4,538.0,11.0,2.0,30.0,0.79,14.5,129.0,11.0,28.2,3.39,0.08,0.29,0.1,-7.0,-6.1,14481.0,18132.0,79.9,257047.0,98240.0,6545.0,7439.0,88.0,5803.0,6777.0,85.6,1631.0,2752.0,59.3,346.0,1196.0,308.0,76.0,1533.0,16208.0,1880.0,584.0,18.0,198.0,730.0,202.0,92.0,80.0,0.0,698.0,44.0,363.0,803.0,21.13,604.0,65.0,40.0,50.0,34.0,67.0,1.76,45.0,5.0,4.0,6.0,6.0,1.0,553.0,297.0,285.0,193.0,75.0,254.0,669.0,38.0,415.0,422.0,147.0,275.0,417.0,711.0,10.0,22287.0,2568.0,7271.0,9902.0,5361.0,762.0,22282.0,329.0,605.0,54.4,12212.0,637.0,501.0,149.0,14339.0,610.0,351.0,3.0,502.0,486.0,44.0,5.0,20.0,2.0,1977.0,539.0,567.0,48.7
-vs Napoli,25.0,44.8,38.0,418.0,3420.0,40.0,26.0,5.0,5.0,107.0,6.0,1.05,0.68,1.74,0.92,1.61,42.6,38.7,1.12,1.02,38.0,38.0,3420.0,86.0,2.26,225.0,141.0,64.9,9.0,5.0,24.0,3.0,7.9,8.0,7.0,1.0,0.0,38.0,3.0,6.0,3.0,72.3,0.29,-10.7,-0.28,198.0,468.0,42.3,1072.0,203.0,29.7,31.2,328.0,45.7,36.6,510.0,20.0,3.9,41.0,1.08,15.8,118.0,16.0,30.5,3.11,0.09,0.3,0.1,-2.6,-3.7,14839.0,18101.0,82.0,272618.0,94152.0,6066.0,6827.0,88.9,6831.0,7634.0,89.5,1616.0,2700.0,59.9,285.0,964.0,242.0,77.0,1324.0,16370.0,1659.0,433.0,12.0,135.0,575.0,146.0,65.0,59.0,1.0,618.0,72.0,345.0,673.0,17.71,469.0,57.0,46.0,47.0,38.0,66.0,1.74,45.0,2.0,7.0,5.0,6.0,1.0,497.0,278.0,259.0,173.0,65.0,242.0,628.0,38.5,386.0,466.0,170.0,296.0,403.0,644.0,17.0,21891.0,2681.0,7939.0,9763.0,4405.0,644.0,21886.0,378.0,635.0,59.5,12552.0,568.0,443.0,119.0,14733.0,490.0,317.0,3.0,580.0,362.0,72.0,5.0,8.0,3.0,1811.0,404.0,414.0,49.4
-vs Parma,42.0,52.3,38.0,418.0,3420.0,80.0,62.0,3.0,3.0,71.0,1.0,2.11,1.63,3.74,2.03,3.66,61.0,59.0,1.6,1.55,38.0,38.0,3420.0,39.0,1.03,128.0,89.0,73.4,24.0,11.0,3.0,15.0,39.5,5.0,5.0,0.0,0.0,38.0,1.0,4.0,0.0,40.5,0.28,1.5,0.04,113.0,313.0,36.1,871.0,178.0,25.5,29.2,249.0,36.5,33.3,496.0,12.0,2.4,32.0,0.84,14.3,188.0,20.0,35.8,4.95,0.15,0.41,0.11,19.0,18.0,16664.0,20320.0,82.0,292089.0,100172.0,7450.0,8351.0,89.2,7032.0,8021.0,87.7,1694.0,2789.0,60.7,399.0,1398.0,347.0,99.0,1757.0,18458.0,1798.0,577.0,27.0,153.0,846.0,206.0,73.0,101.0,0.0,681.0,64.0,373.0,925.0,24.34,691.0,71.0,58.0,46.0,44.0,146.0,3.84,97.0,15.0,11.0,13.0,8.0,2.0,519.0,302.0,221.0,209.0,89.0,227.0,589.0,38.5,362.0,362.0,96.0,266.0,414.0,593.0,7.0,24159.0,2083.0,6454.0,11670.0,6316.0,909.0,24156.0,426.0,696.0,61.2,14050.0,933.0,618.0,184.0,16555.0,531.0,316.0,0.0,508.0,486.0,64.0,3.0,5.0,0.0,1950.0,474.0,630.0,42.9
-vs Roma,31.0,47.5,38.0,418.0,3420.0,52.0,36.0,5.0,6.0,80.0,6.0,1.37,0.95,2.32,1.24,2.18,45.6,40.9,1.2,1.08,38.0,38.0,3420.0,68.0,1.79,199.0,131.0,69.3,12.0,8.0,18.0,9.0,23.7,8.0,7.0,1.0,0.0,38.0,0.0,9.0,1.0,61.8,0.27,-5.2,-0.14,150.0,379.0,39.6,1086.0,185.0,26.7,29.9,244.0,36.5,31.9,504.0,18.0,3.6,39.0,1.03,15.4,161.0,22.0,41.2,4.24,0.12,0.29,0.11,6.4,6.1,15055.0,18427.0,81.7,263823.0,92491.0,6811.0,7582.0,89.8,6285.0,7132.0,88.1,1513.0,2589.0,58.4,281.0,907.0,256.0,57.0,1126.0,16687.0,1618.0,561.0,19.0,119.0,501.0,146.0,44.0,67.0,0.0,557.0,122.0,310.0,655.0,17.24,469.0,58.0,36.0,39.0,42.0,91.0,2.39,65.0,5.0,6.0,7.0,6.0,2.0,490.0,290.0,257.0,180.0,53.0,266.0,663.0,40.1,397.0,421.0,137.0,284.0,452.0,637.0,16.0,22202.0,2562.0,8056.0,10222.0,4179.0,690.0,22196.0,376.0,583.0,64.5,12521.0,553.0,418.0,139.0,14928.0,560.0,272.0,5.0,453.0,536.0,125.0,5.0,8.0,1.0,1924.0,414.0,428.0,49.2
-vs Sampdoria,27.0,54.9,38.0,418.0,3420.0,53.0,35.0,7.0,9.0,77.0,1.0,1.39,0.92,2.32,1.21,2.13,56.1,49.2,1.48,1.29,38.0,38.0,3420.0,52.0,1.37,140.0,87.0,66.4,16.0,7.0,15.0,8.0,21.1,6.0,5.0,1.0,0.0,38.0,0.0,9.0,0.0,40.9,0.25,-11.1,-0.29,151.0,395.0,38.2,1137.0,190.0,29.1,30.8,214.0,29.9,30.2,617.0,21.0,3.4,46.0,1.21,15.6,165.0,21.0,32.6,4.34,0.09,0.28,0.1,-3.1,-3.2,17299.0,21424.0,80.7,299525.0,105787.0,8058.0,9011.0,89.4,7011.0,8126.0,86.3,1730.0,3008.0,57.5,370.0,1301.0,340.0,100.0,1638.0,19550.0,1763.0,538.0,17.0,153.0,756.0,201.0,73.0,82.0,0.0,708.0,111.0,390.0,897.0,23.61,667.0,53.0,54.0,71.0,35.0,90.0,2.37,57.0,5.0,9.0,12.0,6.0,1.0,479.0,293.0,210.0,200.0,69.0,192.0,484.0,39.7,292.0,396.0,125.0,271.0,460.0,785.0,16.0,25578.0,2585.0,8401.0,11240.0,6149.0,898.0,25569.0,383.0,634.0,60.4,14504.0,732.0,533.0,187.0,17125.0,607.0,325.0,0.0,520.0,473.0,111.0,5.0,6.0,0.0,2132.0,597.0,628.0,48.7
-vs Sassuolo,28.0,40.0,38.0,418.0,3420.0,55.0,46.0,4.0,5.0,82.0,4.0,1.45,1.21,2.66,1.34,2.55,55.4,51.5,1.46,1.36,38.0,38.0,3417.0,64.0,1.69,178.0,116.0,71.3,10.0,11.0,17.0,4.0,10.5,14.0,13.0,1.0,0.0,38.0,2.0,7.0,3.0,56.3,0.24,-4.7,-0.12,209.0,497.0,42.1,1006.0,184.0,37.2,33.8,248.0,49.6,38.8,462.0,14.0,3.0,29.0,0.76,15.1,181.0,17.0,34.6,4.76,0.1,0.28,0.1,-0.4,-0.5,12070.0,15458.0,78.1,219907.0,85513.0,5424.0,6178.0,87.8,4852.0,5770.0,84.1,1482.0,2634.0,56.3,406.0,943.0,315.0,85.0,1250.0,13647.0,1720.0,512.0,15.0,128.0,690.0,203.0,75.0,95.0,2.0,645.0,91.0,295.0,930.0,24.47,686.0,84.0,49.0,67.0,33.0,102.0,2.68,81.0,7.0,5.0,5.0,4.0,0.0,603.0,345.0,332.0,194.0,77.0,290.0,718.0,40.4,428.0,445.0,155.0,290.0,442.0,631.0,10.0,19524.0,2402.0,7032.0,7677.0,5028.0,904.0,19519.0,302.0,543.0,55.6,10662.0,695.0,432.0,202.0,11943.0,549.0,287.0,1.0,502.0,468.0,91.0,5.0,14.0,3.0,1843.0,450.0,408.0,52.4
-vs Spezia,35.0,47.8,38.0,418.0,3420.0,72.0,50.0,9.0,10.0,83.0,3.0,1.89,1.32,3.21,1.66,2.97,65.1,57.6,1.71,1.51,38.0,38.0,3420.0,52.0,1.37,135.0,82.0,64.4,17.0,12.0,9.0,8.0,21.1,5.0,4.0,1.0,0.0,38.0,0.0,9.0,0.0,43.6,0.3,-8.4,-0.22,189.0,545.0,34.7,1262.0,146.0,35.3,32.3,226.0,44.2,36.3,433.0,13.0,3.0,50.0,1.32,16.8,168.0,16.0,40.5,4.42,0.15,0.38,0.14,6.9,5.4,14232.0,18161.0,78.4,260293.0,94380.0,6043.0,6935.0,87.1,6270.0,7242.0,86.6,1607.0,2969.0,54.1,314.0,961.0,271.0,67.0,1327.0,16145.0,1876.0,636.0,31.0,122.0,540.0,138.0,43.0,67.0,0.0,770.0,140.0,299.0,751.0,19.76,537.0,69.0,50.0,38.0,48.0,129.0,3.39,87.0,9.0,9.0,9.0,11.0,4.0,501.0,280.0,246.0,208.0,47.0,206.0,528.0,39.0,322.0,362.0,89.0,273.0,459.0,644.0,12.0,21955.0,2463.0,8017.0,9843.0,4324.0,802.0,21945.0,352.0,620.0,56.8,11738.0,570.0,340.0,160.0,14083.0,557.0,303.0,2.0,556.0,548.0,140.0,7.0,5.0,0.0,1985.0,568.0,537.0,51.4
-vs Torino,29.0,52.8,38.0,418.0,3420.0,69.0,48.0,9.0,10.0,101.0,6.0,1.82,1.26,3.08,1.58,2.84,62.0,54.2,1.63,1.43,38.0,38.0,3420.0,50.0,1.32,150.0,100.0,70.0,15.0,16.0,7.0,9.0,23.7,6.0,5.0,1.0,0.0,38.0,1.0,10.0,1.0,50.3,0.3,1.3,0.03,142.0,344.0,41.3,893.0,182.0,26.1,30.4,270.0,41.1,35.7,611.0,27.0,4.4,36.0,0.95,14.1,148.0,14.0,29.8,3.89,0.12,0.41,0.11,7.0,5.8,15621.0,19345.0,80.7,283942.0,99606.0,6803.0,7719.0,88.1,6615.0,7615.0,86.9,1848.0,3011.0,61.4,369.0,1190.0,337.0,100.0,1562.0,17471.0,1799.0,609.0,22.0,158.0,732.0,181.0,61.0,90.0,0.0,643.0,75.0,334.0,861.0,22.66,635.0,67.0,35.0,55.0,46.0,121.0,3.18,94.0,3.0,5.0,6.0,10.0,3.0,543.0,306.0,232.0,235.0,76.0,246.0,634.0,38.8,388.0,394.0,116.0,278.0,385.0,677.0,20.0,23433.0,2232.0,7051.0,10981.0,5643.0,874.0,23423.0,322.0,569.0,56.6,13311.0,666.0,530.0,185.0,15491.0,607.0,283.0,2.0,632.0,544.0,75.0,8.0,6.0,1.0,1936.0,622.0,595.0,51.1
-vs Udinese,33.0,53.9,38.0,418.0,3420.0,58.0,35.0,14.0,14.0,84.0,4.0,1.53,0.92,2.45,1.16,2.08,52.6,42.0,1.38,1.11,38.0,38.0,3419.0,42.0,1.11,129.0,89.0,70.5,18.0,10.0,10.0,12.0,31.6,4.0,4.0,0.0,0.0,38.0,0.0,2.0,2.0,38.2,0.27,-1.8,-0.05,131.0,334.0,39.2,880.0,157.0,29.0,31.6,259.0,30.5,31.9,555.0,25.0,4.5,20.0,0.53,12.6,145.0,25.0,32.2,3.82,0.1,0.3,0.1,5.4,2.0,16888.0,20420.0,82.7,304427.0,100722.0,7358.0,8189.0,89.9,7144.0,8163.0,87.5,1952.0,2977.0,65.6,337.0,1380.0,310.0,77.0,1684.0,18654.0,1724.0,551.0,16.0,182.0,686.0,194.0,70.0,73.0,0.0,630.0,42.0,354.0,805.0,21.18,579.0,52.0,56.0,57.0,48.0,94.0,2.47,60.0,3.0,5.0,9.0,14.0,3.0,563.0,296.0,244.0,242.0,77.0,233.0,609.0,38.3,376.0,362.0,100.0,262.0,444.0,672.0,19.0,24338.0,2213.0,6659.0,12119.0,5776.0,749.0,24324.0,338.0,547.0,61.8,14339.0,717.0,547.0,125.0,16756.0,587.0,293.0,3.0,559.0,474.0,42.0,9.0,4.0,2.0,1867.0,442.0,491.0,47.4
+team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
+vs Atalanta,30.0,45.1,38.0,418.0,3420.0,46.0,36.0,5.0,8.0,87.0,4.0,1.21,0.95,2.16,1.08,2.03,41.0,34.7,1.08,0.91,38.0,38.0,3420.0,90.0,2.37,228.0,137.0,63.2,6.0,9.0,23.0,5.0,13.2,7.0,6.0,1.0,0.0,38.0,1.0,6.0,0.0,76.8,0.31,-13.2,-0.35,240.0,673.0,35.7,1395.0,170.0,37.8,33.6,312.0,46.5,36.8,497.0,10.0,2.0,35.0,0.92,14.4,104.0,14.0,32.8,2.74,0.13,0.39,0.11,5.0,6.3,14274.0,18377.0,77.7,251869.0,98214.0,6531.0,7491.0,87.2,5707.0,6754.0,84.5,1605.0,3053.0,52.6,228.0,885.0,201.0,43.0,1038.0,16502.0,1835.0,609.0,18.0,89.0,460.0,120.0,48.0,53.0,0.0,640.0,40.0,351.0,543.0,14.29,365.0,44.0,39.0,43.0,76.0,2.0,52.0,4.0,6.0,5.0,0.0,716.0,407.0,418.0,243.0,55.0,494.0,151.0,343.0,528.0,717.0,15.0,22821.0,3113.0,9294.0,9985.0,3778.0,515.0,22813.0,12053.0,549.0,387.0,109.0,14104.0,646.0,341.0,3.0,504.0,548.0,40.0,5.0,7.0,0.0,2251.0,506.0,633.0,44.4
+vs Benevento,29.0,57.7,38.0,418.0,3420.0,69.0,52.0,4.0,5.0,76.0,6.0,1.82,1.37,3.18,1.71,3.08,64.3,60.5,1.69,1.59,38.0,38.0,3420.0,40.0,1.05,134.0,93.0,73.9,19.0,12.0,7.0,11.0,28.9,7.0,5.0,1.0,1.0,38.0,0.0,11.0,0.0,36.1,0.23,-3.9,-0.1,112.0,284.0,39.4,828.0,172.0,24.2,29.2,226.0,37.2,33.0,528.0,25.0,4.7,35.0,0.92,15.1,172.0,19.0,34.5,4.53,0.13,0.38,0.12,4.7,4.5,17253.0,20935.0,82.4,307344.0,101369.0,7571.0,8475.0,89.3,7286.0,8312.0,87.7,1892.0,2975.0,63.6,365.0,1447.0,365.0,87.0,1804.0,19091.0,1750.0,525.0,25.0,214.0,808.0,230.0,83.0,103.0,0.0,686.0,94.0,303.0,896.0,23.58,663.0,68.0,62.0,36.0,123.0,3.24,89.0,2.0,14.0,3.0,2.0,468.0,267.0,206.0,181.0,81.0,369.0,115.0,254.0,384.0,680.0,14.0,24758.0,2107.0,6514.0,12042.0,6453.0,874.0,24753.0,14210.0,862.0,674.0,157.0,17121.0,554.0,268.0,1.0,621.0,463.0,94.0,4.0,7.0,0.0,1854.0,615.0,496.0,55.4
+vs Bologna,37.0,49.1,38.0,418.0,3420.0,63.0,40.0,7.0,9.0,84.0,1.0,1.66,1.05,2.71,1.47,2.53,62.6,56.1,1.65,1.48,38.0,38.0,3420.0,51.0,1.34,179.0,129.0,73.2,17.0,11.0,10.0,11.0,28.9,4.0,3.0,1.0,0.0,38.0,0.0,5.0,2.0,56.1,0.29,7.1,0.19,200.0,564.0,35.5,1041.0,149.0,40.0,34.4,238.0,62.2,44.5,505.0,20.0,4.0,32.0,0.84,15.4,184.0,21.0,34.7,4.84,0.11,0.3,0.11,0.4,-0.1,13987.0,18055.0,77.5,246193.0,91104.0,6350.0,7321.0,86.7,5701.0,6734.0,84.7,1502.0,2841.0,52.9,404.0,1151.0,380.0,85.0,1577.0,16065.0,1919.0,572.0,27.0,105.0,713.0,220.0,84.0,105.0,0.0,753.0,71.0,364.0,936.0,24.63,702.0,63.0,56.0,42.0,103.0,2.71,63.0,8.0,14.0,7.0,1.0,588.0,348.0,281.0,241.0,66.0,424.0,128.0,296.0,432.0,637.0,15.0,22130.0,2268.0,6625.0,9662.0,6082.0,905.0,22121.0,11633.0,713.0,579.0,184.0,13860.0,575.0,333.0,0.0,495.0,495.0,71.0,6.0,4.0,2.0,2024.0,594.0,564.0,51.3
+vs Cagliari,32.0,55.4,38.0,418.0,3420.0,59.0,45.0,5.0,5.0,76.0,5.0,1.55,1.18,2.74,1.42,2.61,61.7,57.8,1.62,1.52,38.0,38.0,3420.0,43.0,1.13,127.0,83.0,69.3,19.0,10.0,9.0,14.0,36.8,5.0,4.0,1.0,0.0,38.0,2.0,8.0,0.0,41.2,0.29,-1.8,-0.05,159.0,399.0,39.8,987.0,144.0,29.0,30.5,277.0,40.8,35.9,585.0,25.0,4.3,34.0,0.89,14.1,198.0,20.0,36.0,5.21,0.1,0.27,0.11,-2.7,-3.8,17136.0,20838.0,82.2,308580.0,107013.0,7398.0,8254.0,89.6,7249.0,8225.0,88.1,1968.0,3174.0,62.0,409.0,1300.0,394.0,94.0,1631.0,18879.0,1876.0,546.0,31.0,210.0,778.0,219.0,68.0,105.0,0.0,744.0,83.0,344.0,972.0,25.58,715.0,80.0,71.0,42.0,107.0,2.82,79.0,6.0,8.0,5.0,2.0,550.0,312.0,248.0,229.0,73.0,410.0,116.0,294.0,414.0,706.0,9.0,25040.0,2383.0,7878.0,11331.0,6066.0,965.0,25035.0,14017.0,790.0,534.0,193.0,17008.0,593.0,320.0,3.0,507.0,496.0,83.0,4.0,5.0,0.0,1920.0,602.0,637.0,48.6
+vs Crotone,31.0,53.6,38.0,418.0,3420.0,90.0,68.0,5.0,5.0,90.0,5.0,2.37,1.79,4.16,2.24,4.03,70.8,67.0,1.86,1.76,38.0,38.0,3420.0,45.0,1.18,120.0,76.0,70.0,27.0,5.0,6.0,14.0,36.8,9.0,9.0,0.0,0.0,38.0,1.0,3.0,1.0,39.3,0.26,-4.7,-0.12,169.0,446.0,37.9,951.0,160.0,33.5,32.5,225.0,56.4,40.6,410.0,25.0,6.1,36.0,0.95,14.6,211.0,30.0,35.9,5.55,0.14,0.4,0.12,19.2,18.0,16340.0,20121.0,81.2,289160.0,100650.0,7450.0,8306.0,89.7,6506.0,7545.0,86.2,1856.0,3072.0,60.4,454.0,1315.0,342.0,83.0,1680.0,18196.0,1822.0,550.0,31.0,171.0,754.0,228.0,85.0,106.0,0.0,708.0,103.0,318.0,1045.0,27.5,761.0,93.0,65.0,49.0,160.0,4.21,124.0,6.0,13.0,6.0,3.0,602.0,361.0,240.0,267.0,95.0,375.0,83.0,292.0,423.0,522.0,8.0,24021.0,2011.0,6398.0,11417.0,6479.0,964.0,24016.0,13347.0,769.0,559.0,229.0,16186.0,578.0,315.0,2.0,524.0,499.0,103.0,4.0,9.0,1.0,2130.0,534.0,472.0,53.1
+vs Fiorentina,30.0,53.8,38.0,418.0,3420.0,57.0,39.0,8.0,11.0,81.0,2.0,1.5,1.03,2.53,1.29,2.32,61.5,52.8,1.62,1.39,38.0,38.0,3420.0,47.0,1.24,121.0,77.0,66.1,16.0,13.0,9.0,12.0,31.6,6.0,6.0,0.0,0.0,38.0,1.0,5.0,3.0,42.6,0.31,-1.4,-0.04,151.0,334.0,45.2,946.0,163.0,25.8,30.1,236.0,38.1,34.3,587.0,21.0,3.6,39.0,1.03,14.8,141.0,21.0,31.8,3.71,0.11,0.35,0.12,-4.5,-3.8,16140.0,19765.0,81.7,283269.0,95682.0,7197.0,8103.0,88.8,6843.0,7848.0,87.2,1624.0,2761.0,58.8,339.0,1166.0,286.0,71.0,1491.0,17944.0,1727.0,551.0,31.0,111.0,692.0,169.0,59.0,72.0,0.0,677.0,94.0,268.0,799.0,21.03,568.0,72.0,53.0,46.0,103.0,2.71,74.0,10.0,7.0,7.0,0.0,672.0,369.0,334.0,262.0,76.0,351.0,86.0,265.0,380.0,753.0,10.0,23781.0,2263.0,7326.0,11387.0,5318.0,745.0,23770.0,13983.0,749.0,527.0,166.0,15983.0,534.0,267.0,1.0,545.0,500.0,94.0,9.0,6.0,3.0,1915.0,544.0,538.0,50.3
+vs Genoa,34.0,60.0,38.0,418.0,3420.0,56.0,40.0,7.0,7.0,69.0,1.0,1.47,1.05,2.53,1.29,2.34,60.5,55.4,1.59,1.46,38.0,38.0,3420.0,47.0,1.24,124.0,78.0,65.3,16.0,12.0,10.0,9.0,23.7,4.0,4.0,0.0,0.0,38.0,0.0,3.0,1.0,38.0,0.28,-8.0,-0.21,171.0,396.0,43.2,1091.0,171.0,28.0,31.3,187.0,48.1,38.2,460.0,17.0,3.7,32.0,0.84,15.6,181.0,24.0,33.8,4.76,0.09,0.27,0.11,-4.5,-6.4,18018.0,22063.0,81.7,324550.0,110134.0,7816.0,8874.0,88.1,7685.0,8822.0,87.1,2064.0,3228.0,63.9,406.0,1383.0,348.0,83.0,1796.0,20224.0,1802.0,559.0,21.0,116.0,779.0,214.0,84.0,100.0,0.0,740.0,37.0,363.0,949.0,24.97,695.0,82.0,39.0,58.0,96.0,2.53,68.0,5.0,6.0,7.0,0.0,551.0,328.0,256.0,216.0,79.0,367.0,91.0,276.0,443.0,579.0,10.0,26112.0,2165.0,7336.0,12568.0,6448.0,889.0,26105.0,15101.0,813.0,585.0,190.0,17865.0,654.0,300.0,0.0,502.0,501.0,37.0,7.0,4.0,1.0,2197.0,643.0,505.0,56.0
+vs Hellas Verona,32.0,50.2,38.0,418.0,3420.0,46.0,31.0,6.0,7.0,81.0,2.0,1.21,0.82,2.03,1.05,1.87,49.5,44.6,1.3,1.17,38.0,38.0,3420.0,43.0,1.13,121.0,83.0,66.9,15.0,12.0,11.0,9.0,23.7,3.0,3.0,0.0,0.0,38.0,1.0,3.0,5.0,37.6,0.29,-0.4,-0.01,255.0,654.0,39.0,1218.0,146.0,43.4,36.7,235.0,53.2,39.4,549.0,23.0,4.2,35.0,0.92,14.1,139.0,21.0,26.2,3.66,0.08,0.29,0.09,-3.5,-4.6,13153.0,17584.0,74.8,236703.0,96247.0,5875.0,6988.0,84.1,5335.0,6567.0,81.2,1582.0,3092.0,51.2,381.0,1065.0,284.0,80.0,1263.0,15609.0,1936.0,677.0,16.0,102.0,657.0,181.0,71.0,81.0,0.0,732.0,39.0,281.0,900.0,23.68,637.0,81.0,76.0,57.0,78.0,2.05,51.0,4.0,10.0,9.0,0.0,496.0,297.0,257.0,195.0,44.0,396.0,107.0,289.0,476.0,632.0,5.0,21619.0,2443.0,7204.0,9606.0,5054.0,850.0,21612.0,11223.0,546.0,421.0,180.0,12987.0,608.0,292.0,1.0,557.0,593.0,42.0,6.0,3.0,5.0,2102.0,832.0,749.0,52.6
+vs Inter,25.0,47.6,38.0,418.0,3420.0,34.0,19.0,5.0,7.0,84.0,3.0,0.89,0.5,1.39,0.76,1.26,39.8,34.4,1.05,0.9,38.0,38.0,3420.0,89.0,2.34,203.0,118.0,60.1,3.0,7.0,28.0,1.0,2.6,9.0,8.0,1.0,0.0,38.0,1.0,9.0,5.0,73.1,0.32,-10.9,-0.29,178.0,446.0,39.9,1014.0,161.0,31.7,33.1,281.0,44.5,37.4,526.0,15.0,2.9,32.0,0.84,13.6,111.0,14.0,29.3,2.92,0.08,0.26,0.09,-5.8,-5.4,16623.0,19839.0,83.8,291963.0,92665.0,7618.0,8362.0,91.1,6878.0,7716.0,89.1,1735.0,2771.0,62.6,298.0,1172.0,243.0,78.0,1279.0,18237.0,1570.0,515.0,15.0,166.0,613.0,137.0,45.0,64.0,0.0,502.0,32.0,329.0,679.0,17.87,504.0,58.0,33.0,41.0,57.0,1.5,39.0,2.0,7.0,4.0,2.0,455.0,264.0,238.0,164.0,53.0,414.0,126.0,288.0,414.0,693.0,11.0,23488.0,2594.0,7409.0,10843.0,5440.0,615.0,23481.0,14098.0,667.0,582.0,125.0,16520.0,472.0,294.0,1.0,444.0,439.0,32.0,5.0,9.0,5.0,1690.0,428.0,439.0,49.4
+vs Juventus,30.0,42.9,38.0,418.0,3420.0,36.0,21.0,6.0,9.0,85.0,2.0,0.95,0.55,1.5,0.79,1.34,39.4,32.3,1.04,0.85,38.0,38.0,3420.0,77.0,2.03,216.0,138.0,68.1,6.0,9.0,23.0,6.0,15.8,10.0,8.0,2.0,0.0,38.0,0.0,10.0,1.0,73.8,0.31,-2.2,-0.06,199.0,460.0,43.3,930.0,149.0,36.1,33.3,264.0,47.0,37.7,560.0,10.0,1.8,17.0,0.45,12.2,112.0,23.0,26.4,2.95,0.07,0.27,0.08,-3.4,-2.3,14407.0,17590.0,81.9,248758.0,88166.0,6912.0,7665.0,90.2,5569.0,6456.0,86.3,1512.0,2503.0,60.4,315.0,1142.0,270.0,78.0,1355.0,15813.0,1737.0,565.0,12.0,152.0,644.0,162.0,47.0,78.0,1.0,607.0,40.0,318.0,737.0,19.39,545.0,55.0,32.0,44.0,54.0,1.42,36.0,4.0,3.0,9.0,1.0,533.0,303.0,248.0,202.0,83.0,427.0,153.0,274.0,402.0,699.0,7.0,21560.0,2598.0,6982.0,9238.0,5568.0,679.0,21551.0,12552.0,690.0,553.0,159.0,14305.0,535.0,323.0,1.0,490.0,483.0,40.0,6.0,10.0,1.0,1805.0,378.0,426.0,47.0
+vs Lazio,30.0,46.9,38.0,418.0,3420.0,53.0,33.0,10.0,10.0,87.0,3.0,1.39,0.87,2.26,1.13,2.0,47.3,38.9,1.24,1.02,38.0,38.0,3420.0,61.0,1.61,184.0,122.0,70.1,12.0,5.0,21.0,6.0,15.8,10.0,6.0,3.0,1.0,38.0,4.0,2.0,2.0,57.9,0.27,-1.1,-0.03,163.0,414.0,39.4,945.0,204.0,31.2,32.6,277.0,43.0,38.1,619.0,20.0,3.2,37.0,0.97,13.6,141.0,12.0,36.1,3.71,0.11,0.3,0.1,5.7,4.1,14738.0,18534.0,79.5,265774.0,93729.0,6493.0,7369.0,88.1,6147.0,7163.0,85.8,1723.0,2959.0,58.2,303.0,1117.0,244.0,67.0,1325.0,16710.0,1781.0,559.0,6.0,172.0,628.0,170.0,68.0,79.0,0.0,666.0,43.0,363.0,706.0,18.58,487.0,67.0,41.0,47.0,97.0,2.55,58.0,9.0,6.0,11.0,3.0,560.0,292.0,270.0,211.0,79.0,420.0,124.0,296.0,453.0,781.0,13.0,22633.0,2462.0,7359.0,10690.0,4827.0,671.0,22623.0,12738.0,715.0,503.0,137.0,14643.0,585.0,341.0,1.0,454.0,480.0,43.0,10.0,10.0,2.0,2054.0,510.0,539.0,48.6
+vs Milan,29.0,48.1,38.0,418.0,3420.0,40.0,26.0,3.0,5.0,83.0,4.0,1.05,0.68,1.74,0.97,1.66,47.0,43.1,1.24,1.14,38.0,38.0,3420.0,74.0,1.95,203.0,127.0,70.9,7.0,7.0,24.0,6.0,15.8,20.0,15.0,4.0,1.0,38.0,1.0,8.0,2.0,72.9,0.27,0.9,0.02,212.0,491.0,43.2,1038.0,176.0,34.1,32.6,272.0,50.4,39.4,538.0,11.0,2.0,30.0,0.79,14.5,129.0,11.0,28.2,3.39,0.08,0.29,0.1,-7.0,-6.1,14481.0,18132.0,79.9,257047.0,98240.0,6545.0,7439.0,88.0,5803.0,6777.0,85.6,1631.0,2752.0,59.3,346.0,1196.0,308.0,76.0,1533.0,16208.0,1880.0,584.0,18.0,198.0,730.0,202.0,92.0,80.0,0.0,698.0,44.0,363.0,803.0,21.13,604.0,65.0,50.0,34.0,67.0,1.76,45.0,5.0,6.0,6.0,1.0,553.0,297.0,285.0,193.0,75.0,422.0,147.0,275.0,417.0,711.0,10.0,22287.0,2568.0,7271.0,9902.0,5361.0,762.0,22282.0,12212.0,637.0,501.0,149.0,14339.0,610.0,351.0,3.0,502.0,486.0,44.0,5.0,20.0,2.0,1977.0,539.0,567.0,48.7
+vs Napoli,25.0,44.8,38.0,418.0,3420.0,40.0,26.0,5.0,5.0,107.0,6.0,1.05,0.68,1.74,0.92,1.61,42.6,38.7,1.12,1.02,38.0,38.0,3420.0,86.0,2.26,225.0,141.0,64.9,9.0,5.0,24.0,3.0,7.9,8.0,7.0,1.0,0.0,38.0,3.0,6.0,3.0,72.3,0.29,-10.7,-0.28,198.0,468.0,42.3,1072.0,203.0,29.7,31.2,328.0,45.7,36.6,510.0,20.0,3.9,41.0,1.08,15.8,118.0,16.0,30.5,3.11,0.09,0.3,0.1,-2.6,-3.7,14839.0,18101.0,82.0,272618.0,94152.0,6066.0,6827.0,88.9,6831.0,7634.0,89.5,1616.0,2700.0,59.9,285.0,964.0,242.0,77.0,1324.0,16370.0,1659.0,433.0,12.0,135.0,575.0,146.0,65.0,59.0,1.0,618.0,72.0,345.0,673.0,17.71,469.0,57.0,47.0,38.0,66.0,1.74,45.0,2.0,5.0,6.0,1.0,497.0,278.0,259.0,173.0,65.0,466.0,170.0,296.0,403.0,644.0,17.0,21891.0,2681.0,7939.0,9763.0,4405.0,644.0,21886.0,12552.0,568.0,443.0,119.0,14733.0,490.0,317.0,3.0,580.0,362.0,72.0,5.0,8.0,3.0,1811.0,404.0,414.0,49.4
+vs Parma,42.0,52.3,38.0,418.0,3420.0,80.0,62.0,3.0,3.0,71.0,1.0,2.11,1.63,3.74,2.03,3.66,61.0,59.0,1.6,1.55,38.0,38.0,3420.0,39.0,1.03,128.0,89.0,73.4,24.0,11.0,3.0,15.0,39.5,5.0,5.0,0.0,0.0,38.0,1.0,4.0,0.0,40.5,0.28,1.5,0.04,113.0,313.0,36.1,871.0,178.0,25.5,29.2,249.0,36.5,33.3,496.0,12.0,2.4,32.0,0.84,14.3,188.0,20.0,35.8,4.95,0.15,0.41,0.11,19.0,18.0,16664.0,20320.0,82.0,292089.0,100172.0,7450.0,8351.0,89.2,7032.0,8021.0,87.7,1694.0,2789.0,60.7,399.0,1398.0,347.0,99.0,1757.0,18458.0,1798.0,577.0,27.0,153.0,846.0,206.0,73.0,101.0,0.0,681.0,64.0,373.0,925.0,24.34,691.0,71.0,46.0,44.0,146.0,3.84,97.0,15.0,13.0,8.0,2.0,519.0,302.0,221.0,209.0,89.0,362.0,96.0,266.0,414.0,593.0,7.0,24159.0,2083.0,6454.0,11670.0,6316.0,909.0,24156.0,14050.0,933.0,618.0,184.0,16555.0,531.0,316.0,0.0,508.0,486.0,64.0,3.0,5.0,0.0,1950.0,474.0,630.0,42.9
+vs Roma,31.0,47.5,38.0,418.0,3420.0,52.0,36.0,5.0,6.0,80.0,6.0,1.37,0.95,2.32,1.24,2.18,45.6,40.9,1.2,1.08,38.0,38.0,3420.0,68.0,1.79,199.0,131.0,69.3,12.0,8.0,18.0,9.0,23.7,8.0,7.0,1.0,0.0,38.0,0.0,9.0,1.0,61.8,0.27,-5.2,-0.14,150.0,379.0,39.6,1086.0,185.0,26.7,29.9,244.0,36.5,31.9,504.0,18.0,3.6,39.0,1.03,15.4,161.0,22.0,41.2,4.24,0.12,0.29,0.11,6.4,6.1,15055.0,18427.0,81.7,263823.0,92491.0,6811.0,7582.0,89.8,6285.0,7132.0,88.1,1513.0,2589.0,58.4,281.0,907.0,256.0,57.0,1126.0,16687.0,1618.0,561.0,19.0,119.0,501.0,146.0,44.0,67.0,0.0,557.0,122.0,310.0,655.0,17.24,469.0,58.0,39.0,42.0,91.0,2.39,65.0,5.0,7.0,6.0,2.0,490.0,290.0,257.0,180.0,53.0,421.0,137.0,284.0,452.0,637.0,16.0,22202.0,2562.0,8056.0,10222.0,4179.0,690.0,22196.0,12521.0,553.0,418.0,139.0,14928.0,560.0,272.0,5.0,453.0,536.0,125.0,5.0,8.0,1.0,1924.0,414.0,428.0,49.2
+vs Sampdoria,27.0,54.9,38.0,418.0,3420.0,53.0,35.0,7.0,9.0,77.0,1.0,1.39,0.92,2.32,1.21,2.13,56.1,49.2,1.48,1.29,38.0,38.0,3420.0,52.0,1.37,140.0,87.0,66.4,16.0,7.0,15.0,8.0,21.1,6.0,5.0,1.0,0.0,38.0,0.0,9.0,0.0,40.9,0.25,-11.1,-0.29,151.0,395.0,38.2,1137.0,190.0,29.1,30.8,214.0,29.9,30.2,617.0,21.0,3.4,46.0,1.21,15.6,165.0,21.0,32.6,4.34,0.09,0.28,0.1,-3.1,-3.2,17299.0,21424.0,80.7,299525.0,105787.0,8058.0,9011.0,89.4,7011.0,8126.0,86.3,1730.0,3008.0,57.5,370.0,1301.0,340.0,100.0,1638.0,19550.0,1763.0,538.0,17.0,153.0,756.0,201.0,73.0,82.0,0.0,708.0,111.0,390.0,897.0,23.61,667.0,53.0,71.0,35.0,90.0,2.37,57.0,5.0,12.0,6.0,1.0,479.0,293.0,210.0,200.0,69.0,396.0,125.0,271.0,460.0,785.0,16.0,25578.0,2585.0,8401.0,11240.0,6149.0,898.0,25569.0,14504.0,732.0,533.0,187.0,17125.0,607.0,325.0,0.0,520.0,473.0,111.0,5.0,6.0,0.0,2132.0,597.0,628.0,48.7
+vs Sassuolo,28.0,40.0,38.0,418.0,3420.0,55.0,46.0,4.0,5.0,82.0,4.0,1.45,1.21,2.66,1.34,2.55,55.4,51.5,1.46,1.36,38.0,38.0,3417.0,64.0,1.69,178.0,116.0,71.3,10.0,11.0,17.0,4.0,10.5,14.0,13.0,1.0,0.0,38.0,2.0,7.0,3.0,56.3,0.24,-4.7,-0.12,209.0,497.0,42.1,1006.0,184.0,37.2,33.8,248.0,49.6,38.8,462.0,14.0,3.0,29.0,0.76,15.1,181.0,17.0,34.6,4.76,0.1,0.28,0.1,-0.4,-0.5,12070.0,15458.0,78.1,219907.0,85513.0,5424.0,6178.0,87.8,4852.0,5770.0,84.1,1482.0,2634.0,56.3,406.0,943.0,315.0,85.0,1250.0,13647.0,1720.0,512.0,15.0,128.0,690.0,203.0,75.0,95.0,2.0,645.0,91.0,295.0,930.0,24.47,686.0,84.0,67.0,33.0,102.0,2.68,81.0,7.0,5.0,4.0,0.0,603.0,345.0,332.0,194.0,77.0,445.0,155.0,290.0,442.0,631.0,10.0,19524.0,2402.0,7032.0,7677.0,5028.0,904.0,19519.0,10662.0,695.0,432.0,202.0,11943.0,549.0,287.0,1.0,502.0,468.0,91.0,5.0,14.0,3.0,1843.0,450.0,408.0,52.4
+vs Spezia,35.0,47.8,38.0,418.0,3420.0,72.0,50.0,9.0,10.0,83.0,3.0,1.89,1.32,3.21,1.66,2.97,65.1,57.6,1.71,1.51,38.0,38.0,3420.0,52.0,1.37,135.0,82.0,64.4,17.0,12.0,9.0,8.0,21.1,5.0,4.0,1.0,0.0,38.0,0.0,9.0,0.0,43.6,0.3,-8.4,-0.22,189.0,545.0,34.7,1262.0,146.0,35.3,32.3,226.0,44.2,36.3,433.0,13.0,3.0,50.0,1.32,16.8,168.0,16.0,40.5,4.42,0.15,0.38,0.14,6.9,5.4,14232.0,18161.0,78.4,260293.0,94380.0,6043.0,6935.0,87.1,6270.0,7242.0,86.6,1607.0,2969.0,54.1,314.0,961.0,271.0,67.0,1327.0,16145.0,1876.0,636.0,31.0,122.0,540.0,138.0,43.0,67.0,0.0,770.0,140.0,299.0,751.0,19.76,537.0,69.0,38.0,48.0,129.0,3.39,87.0,9.0,9.0,11.0,4.0,501.0,280.0,246.0,208.0,47.0,362.0,89.0,273.0,459.0,644.0,12.0,21955.0,2463.0,8017.0,9843.0,4324.0,802.0,21945.0,11738.0,570.0,340.0,160.0,14083.0,557.0,303.0,2.0,556.0,548.0,140.0,7.0,5.0,0.0,1985.0,568.0,537.0,51.4
+vs Torino,29.0,52.8,38.0,418.0,3420.0,69.0,48.0,9.0,10.0,101.0,6.0,1.82,1.26,3.08,1.58,2.84,62.0,54.2,1.63,1.43,38.0,38.0,3420.0,50.0,1.32,150.0,100.0,70.0,15.0,16.0,7.0,9.0,23.7,6.0,5.0,1.0,0.0,38.0,1.0,10.0,1.0,50.3,0.3,1.3,0.03,142.0,344.0,41.3,893.0,182.0,26.1,30.4,270.0,41.1,35.7,611.0,27.0,4.4,36.0,0.95,14.1,148.0,14.0,29.8,3.89,0.12,0.41,0.11,7.0,5.8,15621.0,19345.0,80.7,283942.0,99606.0,6803.0,7719.0,88.1,6615.0,7615.0,86.9,1848.0,3011.0,61.4,369.0,1190.0,337.0,100.0,1562.0,17471.0,1799.0,609.0,22.0,158.0,732.0,181.0,61.0,90.0,0.0,643.0,75.0,334.0,861.0,22.66,635.0,67.0,55.0,46.0,121.0,3.18,94.0,3.0,6.0,10.0,3.0,543.0,306.0,232.0,235.0,76.0,394.0,116.0,278.0,385.0,677.0,20.0,23433.0,2232.0,7051.0,10981.0,5643.0,874.0,23423.0,13311.0,666.0,530.0,185.0,15491.0,607.0,283.0,2.0,632.0,544.0,75.0,8.0,6.0,1.0,1936.0,622.0,595.0,51.1
+vs Udinese,33.0,53.9,38.0,418.0,3420.0,58.0,35.0,14.0,14.0,84.0,4.0,1.53,0.92,2.45,1.16,2.08,52.6,42.0,1.38,1.11,38.0,38.0,3419.0,42.0,1.11,129.0,89.0,70.5,18.0,10.0,10.0,12.0,31.6,4.0,4.0,0.0,0.0,38.0,0.0,2.0,2.0,38.2,0.27,-1.8,-0.05,131.0,334.0,39.2,880.0,157.0,29.0,31.6,259.0,30.5,31.9,555.0,25.0,4.5,20.0,0.53,12.6,145.0,25.0,32.2,3.82,0.1,0.3,0.1,5.4,2.0,16888.0,20420.0,82.7,304427.0,100722.0,7358.0,8189.0,89.9,7144.0,8163.0,87.5,1952.0,2977.0,65.6,337.0,1380.0,310.0,77.0,1684.0,18654.0,1724.0,551.0,16.0,182.0,686.0,194.0,70.0,73.0,0.0,630.0,42.0,354.0,805.0,21.18,579.0,52.0,57.0,48.0,94.0,2.47,60.0,3.0,9.0,14.0,3.0,563.0,296.0,244.0,242.0,77.0,362.0,100.0,262.0,444.0,672.0,19.0,24338.0,2213.0,6659.0,12119.0,5776.0,749.0,24324.0,14339.0,717.0,547.0,125.0,16756.0,587.0,293.0,3.0,559.0,474.0,42.0,9.0,4.0,2.0,1867.0,442.0,491.0,47.4
diff --git a/fbref_data/season2122/keepers_players.csv b/fbref_data/season2122/keepers_players.csv
index b9a4962..ab2a0f4 100644
--- a/fbref_data/season2122/keepers_players.csv
+++ b/fbref_data/season2122/keepers_players.csv
@@ -14,7 +14,7 @@ Luca Gemello,it ITA,GK,Torino,21,2000,1.0,1.0,90.0,0.0,0.0,3.0,3.0,100.0,1.0,0.0
Samir Handanović,si SVN,GK,Inter,37,1984,37.0,37.0,3330.0,30.0,0.81,124.0,95.0,79.0,25.0,9.0,3.0,15.0,40.5,4.0,4.0,0.0,0.0,37.0,0.0,3.0,1.0,33.2,0.24,4.2,0.11,139.0,301.0,46.2,1118.0,176.0,24.3,28.1,142.0,20.4,26.5,393.0,15.0,3.8,10.0,0.27,11.2
Luca Lezzerini,it ITA,GK,Venezia,26,1995,6.0,6.0,495.0,9.0,1.64,39.0,30.0,76.9,2.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,5.5,0.0,0.0,0.0,9.3,0.25,0.3,0.05,22.0,59.0,37.3,155.0,39.0,28.4,30.3,44.0,34.1,31.0,100.0,2.0,2.0,3.0,0.55,13.8
Niki Mäenpää,fi FIN,GK,Venezia,36,1985,17.0,16.0,1485.0,27.0,1.64,84.0,57.0,73.8,1.0,4.0,11.0,1.0,6.3,6.0,5.0,0.0,1.0,16.5,0.0,4.0,0.0,28.2,0.28,1.2,0.07,70.0,221.0,31.7,379.0,74.0,43.5,36.0,143.0,39.2,35.4,275.0,6.0,2.2,10.0,0.61,10.8
-Mike Maignan,fr FRA,GK,Milan,26,1995,32.0,32.0,2880.0,21.0,0.66,101.0,81.0,81.2,22.0,7.0,3.0,17.0,53.1,2.0,2.0,0.0,0.0,32.0,0.0,4.0,1.0,24.3,0.22,4.3,0.13,157.0,374.0,42.0,1005.0,164.0,31.4,33.0,149.0,38.9,36.5,347.0,25.0,7.2,45.0,1.41,16.8
+Mike Maignan,fr FRA,GK,Milan,26,1995,32.0,32.0,2880.0,21.0,0.66,101.0,81.0,81.2,22.0,7.0,3.0,17.0,53.1,2.0,2.0,0.0,0.0,32.0,0.0,4.0,1.0,24.3,0.22,4.3,0.13,157.0,374.0,42.0,1004.0,164.0,31.5,33.0,149.0,38.9,36.5,347.0,25.0,7.2,45.0,1.41,16.8
Davide Marfella,it ITA,GK,Napoli,21,1999,1.0,0.0,11.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.1,0.05,0.1,0.44,0.0,0.0,0.0,1.0,1.0,0.0,15.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0
Alex Meret,it ITA,GK,Napoli,24,1997,7.0,7.0,619.0,6.0,0.87,29.0,23.0,79.3,5.0,1.0,1.0,2.0,28.6,0.0,0.0,0.0,0.0,6.9,0.0,0.0,0.0,6.4,0.22,0.4,0.06,13.0,29.0,44.8,160.0,45.0,12.5,25.1,36.0,25.0,26.5,89.0,3.0,3.4,5.0,0.73,14.6
Vanja Milinković-Savić,rs SRB,GK,Torino,24,1997,27.0,27.0,2430.0,33.0,1.22,80.0,46.0,67.5,9.0,7.0,11.0,4.0,14.8,8.0,7.0,1.0,0.0,27.0,2.0,4.0,0.0,26.7,0.24,-6.3,-0.23,192.0,659.0,29.1,849.0,97.0,59.5,44.4,169.0,91.1,66.3,290.0,18.0,6.2,22.0,0.81,14.3
@@ -32,7 +32,7 @@ Ionuț Radu,ro ROU,GK,Inter,24,1997,1.0,1.0,90.0,2.0,2.0,3.0,1.0,33.3,0.0,0.0,1.
Boris Radunović,rs SRB,GK,Cagliari,25,1996,3.0,3.0,270.0,5.0,1.67,17.0,11.0,76.5,0.0,2.0,1.0,1.0,33.3,2.0,1.0,1.0,0.0,3.0,1.0,0.0,0.0,6.4,0.26,1.4,0.46,22.0,62.0,35.5,72.0,10.0,54.2,41.5,28.0,82.1,51.1,42.0,1.0,2.4,1.0,0.33,13.8
Nicola Ravaglia,it ITA,GK,Sampdoria,32,1988,1.0,0.0,5.0,1.0,18.0,1.0,0.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.1,0.0,0.0,0.0,1.0,0.0,0.0,-0.25,2.0,4.0,50.0,2.0,0.0,100.0,57.0,2.0,100.0,65.5,1.0,0.0,0.0,0.0,0.0,0.0
Pepe Reina,es ESP,GK,Lazio,38,1982,15.0,15.0,1350.0,29.0,1.93,60.0,31.0,58.3,6.0,4.0,5.0,2.0,13.3,5.0,4.0,0.0,1.0,15.0,0.0,2.0,0.0,23.7,0.33,-5.3,-0.36,66.0,133.0,49.6,429.0,73.0,24.2,29.8,99.0,29.3,30.1,186.0,10.0,5.4,10.0,0.67,13.7
-Sergio Romero,ar ARG,GK,Venezia,34,1987,16.0,16.0,1440.0,33.0,2.06,105.0,74.0,74.3,3.0,4.0,9.0,3.0,18.8,6.0,6.0,0.0,0.0,16.0,0.0,1.0,2.0,30.6,0.24,-0.4,-0.03,90.0,236.0,38.1,443.0,100.0,38.6,34.6,142.0,45.8,38.8,265.0,14.0,5.3,11.0,0.69,11.8
+Sergio Romero,ar ARG,GK,Venezia,34,1987,16.0,16.0,1440.0,33.0,2.06,105.0,74.0,74.3,3.0,4.0,9.0,3.0,18.8,6.0,6.0,0.0,0.0,16.0,0.0,1.0,2.0,30.8,0.25,-0.2,-0.01,90.0,236.0,38.1,443.0,100.0,38.6,34.6,142.0,45.8,38.8,265.0,14.0,5.3,11.0,0.69,11.8
Francesco Rossi,it ITA,GK,Atalanta,30,1991,1.0,0.0,37.0,1.0,2.43,2.0,1.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,1.0,0.52,0.0,0.11,2.0,6.0,33.3,12.0,0.0,41.7,37.8,4.0,25.0,39.3,3.0,0.0,0.0,0.0,0.0,18.0
Giacomo Satalino,it ITA,GK,Sassuolo,22,1999,1.0,0.0,8.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.8,0.76,0.8,7.56,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,22.0,1.0,0.0,0.0,0.0,0.0,0.0
Adrian Šemper,hr CRO,GK,Genoa,23,1998,1.0,1.0,90.0,1.0,1.0,4.0,3.0,75.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.9,0.28,-0.1,-0.06,6.0,21.0,28.6,30.0,3.0,50.0,38.5,7.0,85.7,52.0,14.0,2.0,14.3,0.0,0.0,11.2
diff --git a/fbref_data/season2122/outfield_players.csv b/fbref_data/season2122/outfield_players.csv
index c2d9386..a17fa0b 100644
--- a/fbref_data/season2122/outfield_players.csv
+++ b/fbref_data/season2122/outfield_players.csv
@@ -1,633 +1,633 @@
-player,nationality,position,team,age,birth_year,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,minutes_90s,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Tammy Abraham,eng ENG,FW,Roma,23,1997,37.0,36.0,3084.0,17.0,4.0,3.0,3.0,9.0,0.0,0.5,0.12,0.61,0.41,0.53,19.2,16.8,0.56,0.49,34.3,35.0,3.0,38.0,1.02,0.15,0.4,0.18,-2.2,-2.8,485.0,696.0,69.7,6820.0,1622.0,293.0,401.0,73.1,134.0,180.0,74.4,28.0,39.0,71.8,38.0,35.0,27.0,3.0,70.0,627.0,67.0,6.0,5.0,1.0,16.0,0.0,0.0,0.0,0.0,2.0,2.0,20.0,94.0,2.74,62.0,1.0,6.0,17.0,7.0,14.0,0.41,6.0,0.0,2.0,3.0,3.0,0.0,27.0,13.0,7.0,14.0,6.0,9.0,22.0,40.9,13.0,17.0,3.0,14.0,5.0,27.0,0.0,1064.0,32.0,73.0,508.0,495.0,173.0,1061.0,38.0,77.0,49.4,494.0,41.0,31.0,22.0,736.0,86.0,41.0,0.0,38.0,49.0,17.0,1.0,1.0,0.0,68.0,78.0,80.0,49.4
-Francesco Acerbi,it ITA,DF,Lazio,33,1988,30.0,29.0,2536.0,4.0,0.0,0.0,0.0,2.0,1.0,0.14,0.0,0.14,0.14,0.14,2.2,2.2,0.08,0.08,28.2,7.0,0.0,46.7,0.25,0.27,0.57,0.15,1.8,1.8,1837.0,2043.0,89.9,34996.0,12273.0,678.0,731.0,92.7,919.0,968.0,94.9,211.0,296.0,71.3,5.0,119.0,6.0,0.0,119.0,1955.0,87.0,77.0,1.0,34.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,6.0,17.0,0.61,13.0,1.0,0.0,1.0,2.0,2.0,0.07,1.0,0.0,0.0,0.0,1.0,0.0,25.0,12.0,15.0,9.0,1.0,12.0,19.0,63.2,7.0,37.0,28.0,9.0,34.0,92.0,0.0,2295.0,268.0,1102.0,1143.0,59.0,22.0,2295.0,4.0,6.0,66.7,1364.0,31.0,19.0,0.0,1641.0,13.0,4.0,0.0,18.0,16.0,4.0,1.0,0.0,0.0,162.0,69.0,43.0,61.6
-Michel Aebischer,ch SUI,MF,Bologna,24,1997,12.0,4.0,443.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,4.9,2.0,0.0,100.0,0.41,0.0,0.0,0.07,-0.1,-0.1,205.0,239.0,85.8,3121.0,883.0,105.0,113.0,92.9,78.0,84.0,92.9,12.0,22.0,54.5,6.0,14.0,4.0,1.0,19.0,225.0,13.0,5.0,0.0,1.0,7.0,7.0,0.0,4.0,0.0,1.0,1.0,5.0,10.0,2.05,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,5.0,8.0,1.0,6.0,11.0,54.5,5.0,4.0,1.0,3.0,6.0,3.0,0.0,292.0,12.0,68.0,171.0,56.0,8.0,292.0,1.0,4.0,25.0,143.0,2.0,2.0,2.0,196.0,9.0,5.0,0.0,13.0,4.0,0.0,0.0,0.0,0.0,27.0,5.0,4.0,55.6
-Felix Afena-Gyan,gh GHA,"FW,MF",Roma,18,2003,17.0,6.0,668.0,2.0,0.0,0.0,0.0,5.0,1.0,0.27,0.0,0.27,0.27,0.27,1.5,1.5,0.2,0.2,7.4,7.0,0.0,41.2,0.94,0.12,0.29,0.09,0.5,0.5,114.0,152.0,75.0,1530.0,229.0,67.0,81.0,82.7,34.0,45.0,75.6,6.0,7.0,85.7,6.0,4.0,4.0,1.0,7.0,145.0,7.0,0.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,5.0,0.0,4.0,23.0,3.1,14.0,0.0,2.0,2.0,5.0,2.0,0.27,1.0,0.0,1.0,0.0,0.0,0.0,10.0,3.0,1.0,6.0,3.0,4.0,7.0,57.1,3.0,4.0,0.0,4.0,3.0,0.0,0.0,278.0,0.0,17.0,91.0,175.0,39.0,278.0,5.0,20.0,25.0,193.0,19.0,16.0,9.0,212.0,42.0,21.0,1.0,15.0,24.0,4.0,0.0,0.0,0.0,31.0,11.0,15.0,42.3
-Kevin Agudelo,co COL,"MF,FW",Spezia,22,1998,23.0,12.0,1237.0,3.0,1.0,0.0,0.0,2.0,1.0,0.22,0.07,0.29,0.22,0.29,2.0,2.0,0.15,0.15,13.7,11.0,0.0,52.4,0.8,0.14,0.27,0.1,1.0,1.0,280.0,389.0,72.0,3788.0,1163.0,165.0,211.0,78.2,90.0,108.0,83.3,7.0,20.0,35.0,10.0,33.0,11.0,1.0,46.0,375.0,11.0,1.0,0.0,1.0,22.0,4.0,3.0,1.0,0.0,4.0,3.0,22.0,39.0,2.84,21.0,0.0,6.0,4.0,4.0,3.0,0.22,1.0,0.0,0.0,0.0,0.0,2.0,44.0,26.0,13.0,26.0,5.0,7.0,20.0,35.0,13.0,22.0,0.0,22.0,8.0,6.0,0.0,583.0,10.0,72.0,266.0,262.0,32.0,583.0,28.0,51.0,54.9,323.0,41.0,35.0,15.0,374.0,40.0,37.0,0.0,36.0,24.0,0.0,0.0,0.0,0.0,67.0,15.0,14.0,51.7
-Ola Aina,ng NGA,DF,Torino,24,1996,21.0,17.0,1437.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,16.0,4.0,0.0,40.0,0.25,0.0,0.0,0.04,-0.4,-0.4,535.0,755.0,70.9,8693.0,3540.0,272.0,316.0,86.1,202.0,280.0,72.1,44.0,93.0,47.3,16.0,43.0,20.0,4.0,68.0,600.0,151.0,9.0,1.0,0.0,34.0,0.0,0.0,0.0,0.0,142.0,4.0,30.0,37.0,2.32,29.0,2.0,3.0,0.0,3.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,27.0,19.0,11.0,10.0,6.0,15.0,23.0,65.2,8.0,17.0,3.0,14.0,28.0,30.0,0.0,950.0,48.0,227.0,441.0,294.0,27.0,950.0,18.0,40.0,45.0,483.0,42.0,34.0,7.0,530.0,32.0,10.0,0.0,18.0,28.0,1.0,0.0,0.0,0.0,101.0,17.0,25.0,40.5
-Marley Aké,fr FRA,"FW,MF",Juventus,20,2001,4.0,0.0,77.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,16.0,75.0,184.0,58.0,7.0,8.0,87.5,1.0,2.0,50.0,2.0,2.0,100.0,0.0,2.0,1.0,1.0,1.0,16.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,24.0,0.0,4.0,12.0,9.0,0.0,24.0,0.0,2.0,0.0,18.0,3.0,2.0,0.0,18.0,3.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0
-Jean-Daniel Akpa-Akpro,ci CIV,MF,Lazio,28,1992,10.0,4.0,315.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.2,-0.2,89.0,106.0,84.0,1077.0,154.0,61.0,68.0,89.7,24.0,25.0,96.0,1.0,1.0,100.0,2.0,6.0,1.0,0.0,3.0,106.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,0.86,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,10.0,7.0,9.0,1.0,7.0,12.0,58.3,5.0,4.0,2.0,2.0,2.0,6.0,0.0,166.0,10.0,45.0,88.0,37.0,1.0,166.0,6.0,10.0,60.0,89.0,5.0,4.0,0.0,107.0,13.0,4.0,0.0,13.0,8.0,0.0,0.0,1.0,0.0,13.0,4.0,4.0,50.0
-Luis Alberto,es ESP,MF,Lazio,28,1992,34.0,27.0,2353.0,5.0,9.0,0.0,0.0,5.0,0.0,0.19,0.34,0.54,0.19,0.54,4.1,4.1,0.16,0.16,26.1,16.0,2.0,34.0,0.61,0.11,0.31,0.09,0.9,0.9,1626.0,1970.0,82.5,25002.0,8252.0,896.0,986.0,90.9,553.0,631.0,87.6,115.0,235.0,48.9,65.0,235.0,44.0,5.0,223.0,1751.0,211.0,82.0,18.0,9.0,143.0,104.0,47.0,40.0,0.0,12.0,8.0,29.0,120.0,4.59,83.0,26.0,3.0,3.0,5.0,16.0,0.61,6.0,7.0,1.0,2.0,0.0,0.0,29.0,17.0,8.0,11.0,10.0,8.0,52.0,15.4,44.0,32.0,4.0,28.0,13.0,7.0,0.0,2177.0,16.0,259.0,1216.0,728.0,30.0,2177.0,27.0,44.0,61.4,1343.0,84.0,88.0,7.0,1682.0,29.0,23.0,0.0,13.0,26.0,1.0,0.0,0.0,0.0,136.0,6.0,12.0,33.3
-Giorgio Altare,it ITA,DF,Cagliari,22,1998,19.0,17.0,1466.0,1.0,0.0,0.0,0.0,5.0,0.0,0.06,0.0,0.06,0.06,0.06,1.3,1.3,0.08,0.08,16.3,6.0,0.0,33.3,0.37,0.06,0.17,0.08,-0.3,-0.3,531.0,799.0,66.5,10947.0,4885.0,175.0,221.0,79.2,250.0,330.0,75.8,100.0,208.0,48.1,8.0,50.0,6.0,3.0,71.0,712.0,83.0,12.0,0.0,3.0,27.0,0.0,0.0,0.0,0.0,71.0,4.0,11.0,27.0,1.66,16.0,3.0,1.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,28.0,18.0,18.0,3.0,21.0,26.0,80.8,5.0,17.0,5.0,12.0,30.0,70.0,0.0,1000.0,96.0,426.0,456.0,129.0,25.0,1000.0,8.0,10.0,80.0,461.0,13.0,15.0,0.0,479.0,6.0,3.0,0.0,35.0,10.0,1.0,0.0,1.0,0.0,126.0,46.0,34.0,57.5
-Wisdom Amey,it ITA,DF,Bologna,15,2005,1.0,1.0,71.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,29.0,69.0,419.0,59.0,8.0,9.0,88.9,7.0,10.0,70.0,4.0,8.0,50.0,0.0,0.0,0.0,0.0,1.0,25.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,2.0,3.0,66.7,1.0,2.0,0.0,2.0,3.0,1.0,0.0,41.0,1.0,17.0,23.0,2.0,0.0,41.0,0.0,1.0,0.0,19.0,0.0,1.0,0.0,17.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,75.0
-Kelvin Amian,fr FRA,DF,Spezia,23,1998,32.0,31.0,2646.0,1.0,1.0,0.0,0.0,9.0,2.0,0.03,0.03,0.07,0.03,0.07,3.2,3.2,0.11,0.11,29.4,7.0,0.0,26.9,0.24,0.04,0.14,0.12,-2.2,-2.2,887.0,1133.0,78.3,13080.0,5926.0,525.0,593.0,88.5,286.0,367.0,77.9,53.0,97.0,54.6,12.0,53.0,7.0,2.0,64.0,862.0,267.0,18.0,1.0,1.0,24.0,0.0,0.0,0.0,0.0,249.0,4.0,35.0,33.0,1.12,22.0,3.0,3.0,3.0,2.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,66.0,42.0,43.0,18.0,5.0,30.0,41.0,73.2,11.0,39.0,21.0,18.0,32.0,75.0,0.0,1446.0,122.0,592.0,577.0,294.0,34.0,1446.0,23.0,37.0,62.2,670.0,38.0,25.0,5.0,739.0,27.0,20.0,1.0,36.0,14.0,1.0,0.0,0.0,0.0,105.0,41.0,29.0,58.6
-Nadiem Amiri,de GER,"MF,FW",Genoa,24,1996,13.0,9.0,683.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.13,0.13,0.0,0.13,1.0,1.0,0.14,0.14,7.6,6.0,1.0,37.5,0.79,0.0,0.0,0.07,-1.0,-1.0,222.0,299.0,74.2,3236.0,970.0,122.0,144.0,84.7,74.0,93.0,79.6,10.0,33.0,30.3,20.0,16.0,9.0,1.0,33.0,255.0,41.0,13.0,2.0,0.0,20.0,12.0,2.0,7.0,0.0,2.0,3.0,3.0,30.0,3.96,24.0,4.0,1.0,0.0,1.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,2.0,2.0,2.0,2.0,9.0,22.2,7.0,7.0,0.0,7.0,0.0,0.0,0.0,402.0,1.0,34.0,197.0,177.0,16.0,402.0,12.0,29.0,41.4,238.0,17.0,27.0,2.0,277.0,33.0,13.0,0.0,7.0,19.0,1.0,0.0,0.0,0.0,40.0,3.0,7.0,30.0
-Ethan Ampadu,wls WAL,"MF,DF",Venezia,20,2000,29.0,26.0,2282.0,0.0,3.0,0.0,0.0,13.0,2.0,0.0,0.12,0.12,0.0,0.12,0.3,0.3,0.01,0.01,25.4,1.0,0.0,14.3,0.04,0.0,0.0,0.05,-0.3,-0.3,867.0,1165.0,74.4,15853.0,6627.0,385.0,445.0,86.5,359.0,443.0,81.0,103.0,209.0,49.3,15.0,96.0,12.0,7.0,112.0,1037.0,123.0,41.0,4.0,10.0,20.0,0.0,0.0,0.0,0.0,80.0,5.0,26.0,45.0,1.77,39.0,4.0,1.0,0.0,0.0,6.0,0.24,5.0,1.0,0.0,0.0,0.0,0.0,67.0,43.0,37.0,27.0,3.0,24.0,58.0,41.4,34.0,49.0,19.0,30.0,51.0,76.0,0.0,1472.0,125.0,587.0,706.0,194.0,12.0,1472.0,13.0,17.0,76.5,712.0,26.0,23.0,3.0,767.0,19.0,10.0,1.0,46.0,27.0,0.0,0.0,0.0,0.0,157.0,66.0,33.0,66.7
-Sofyan Amrabat,ma MAR,MF,Fiorentina,24,1996,23.0,8.0,944.0,1.0,0.0,0.0,0.0,6.0,0.0,0.1,0.0,0.1,0.1,0.1,0.2,0.2,0.02,0.02,10.5,3.0,0.0,75.0,0.29,0.25,0.33,0.04,0.8,0.8,645.0,716.0,90.1,12507.0,3260.0,238.0,264.0,90.2,321.0,336.0,95.5,78.0,95.0,82.1,8.0,74.0,9.0,1.0,63.0,685.0,31.0,31.0,1.0,9.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,18.0,1.72,16.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,13.0,9.0,13.0,2.0,11.0,19.0,57.9,8.0,25.0,8.0,17.0,5.0,6.0,1.0,799.0,28.0,176.0,530.0,101.0,0.0,799.0,10.0,12.0,83.3,506.0,13.0,9.0,0.0,572.0,9.0,6.0,0.0,25.0,14.0,0.0,0.0,0.0,0.0,67.0,6.0,13.0,31.6
-Felipe Anderson,br BRA,FW,Lazio,28,1993,38.0,33.0,2888.0,6.0,8.0,0.0,0.0,2.0,0.0,0.19,0.25,0.44,0.19,0.44,7.1,7.1,0.22,0.22,32.1,16.0,0.0,36.4,0.5,0.14,0.38,0.16,-1.1,-1.1,1118.0,1436.0,77.9,16074.0,3918.0,652.0,765.0,85.2,341.0,420.0,81.2,60.0,106.0,56.6,50.0,60.0,61.0,13.0,123.0,1342.0,90.0,6.0,5.0,6.0,86.0,13.0,8.0,3.0,0.0,32.0,4.0,36.0,115.0,3.59,87.0,3.0,10.0,5.0,9.0,19.0,0.59,13.0,0.0,4.0,2.0,0.0,0.0,71.0,45.0,30.0,33.0,8.0,27.0,99.0,27.3,72.0,65.0,6.0,59.0,20.0,16.0,0.0,1869.0,31.0,204.0,846.0,850.0,130.0,1869.0,58.0,108.0,53.7,1091.0,142.0,101.0,48.0,1335.0,88.0,38.0,0.0,43.0,37.0,7.0,0.0,0.0,0.0,150.0,11.0,20.0,35.5
-Ebenezer Annan,gh GHA,DF,Bologna,18,2002,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,11.0,36.4,51.0,17.0,3.0,4.0,75.0,1.0,5.0,20.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,8.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,14.0,0.0,4.0,7.0,3.0,0.0,14.0,0.0,0.0,0.0,4.0,2.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Cristian Ansaldi,ar ARG,DF,Torino,34,1986,19.0,5.0,691.0,0.0,3.0,0.0,0.0,2.0,0.0,0.0,0.39,0.39,0.0,0.39,0.4,0.4,0.05,0.05,7.7,1.0,0.0,14.3,0.13,0.0,0.0,0.06,-0.4,-0.4,285.0,407.0,70.0,5390.0,2749.0,121.0,140.0,86.4,107.0,143.0,74.8,46.0,100.0,46.0,17.0,40.0,16.0,12.0,41.0,318.0,86.0,8.0,2.0,4.0,57.0,10.0,4.0,2.0,0.0,68.0,3.0,4.0,29.0,3.79,22.0,3.0,2.0,2.0,0.0,6.0,0.78,5.0,0.0,0.0,1.0,0.0,0.0,20.0,9.0,11.0,7.0,2.0,10.0,13.0,76.9,3.0,9.0,1.0,8.0,6.0,10.0,0.0,500.0,22.0,106.0,206.0,190.0,14.0,500.0,8.0,16.0,50.0,288.0,24.0,10.0,7.0,293.0,16.0,4.0,0.0,13.0,4.0,2.0,0.0,0.0,0.0,36.0,3.0,3.0,50.0
-Janis Antiste,fr FRA,FW,Spezia,18,2002,18.0,9.0,796.0,1.0,0.0,0.0,0.0,0.0,0.0,0.11,0.0,0.11,0.11,0.11,1.3,1.3,0.14,0.14,8.8,2.0,0.0,18.2,0.23,0.09,0.5,0.12,-0.3,-0.3,136.0,215.0,63.3,1856.0,397.0,79.0,112.0,70.5,40.0,64.0,62.5,6.0,11.0,54.5,6.0,6.0,6.0,3.0,7.0,195.0,19.0,0.0,1.0,0.0,12.0,0.0,0.0,0.0,0.0,6.0,1.0,6.0,14.0,1.58,12.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,11.0,6.0,6.0,6.0,5.0,13.0,38.5,8.0,7.0,1.0,6.0,4.0,6.0,0.0,312.0,6.0,63.0,119.0,135.0,39.0,312.0,8.0,21.0,38.1,156.0,10.0,6.0,8.0,192.0,24.0,7.0,0.0,15.0,6.0,5.0,0.0,0.0,0.0,36.0,16.0,19.0,45.7
-Mattia Aramu,it ITA,"MF,FW",Venezia,26,1995,32.0,25.0,2100.0,7.0,5.0,3.0,4.0,6.0,0.0,0.3,0.21,0.51,0.17,0.39,7.2,4.1,0.31,0.17,23.3,15.0,17.0,27.3,0.64,0.07,0.27,0.07,-0.2,-0.1,524.0,795.0,65.9,8928.0,2978.0,255.0,303.0,84.2,190.0,267.0,71.2,57.0,151.0,37.7,35.0,39.0,28.0,13.0,79.0,603.0,184.0,43.0,6.0,6.0,144.0,66.0,33.0,28.0,0.0,21.0,8.0,24.0,75.0,3.21,31.0,22.0,2.0,5.0,15.0,11.0,0.47,7.0,1.0,0.0,0.0,3.0,0.0,20.0,15.0,5.0,9.0,6.0,8.0,33.0,24.2,25.0,20.0,2.0,18.0,8.0,19.0,0.0,1042.0,22.0,103.0,438.0,514.0,36.0,1038.0,17.0,38.0,44.7,580.0,39.0,22.0,5.0,650.0,43.0,24.0,0.0,29.0,81.0,7.0,1.0,1.0,0.0,91.0,11.0,27.0,28.9
-Marko Arnautović,at AUT,FW,Bologna,32,1989,33.0,32.0,2694.0,14.0,1.0,2.0,3.0,6.0,0.0,0.47,0.03,0.5,0.4,0.43,15.0,12.8,0.5,0.43,29.9,32.0,3.0,36.0,1.07,0.13,0.38,0.14,-1.0,-0.8,659.0,908.0,72.6,8749.0,1621.0,400.0,514.0,77.8,189.0,246.0,76.8,23.0,37.0,62.2,44.0,30.0,19.0,0.0,68.0,851.0,51.0,1.0,4.0,1.0,12.0,0.0,0.0,0.0,0.0,9.0,6.0,24.0,89.0,2.97,71.0,0.0,7.0,9.0,2.0,7.0,0.23,5.0,0.0,1.0,1.0,0.0,0.0,17.0,9.0,1.0,11.0,5.0,7.0,30.0,23.3,23.0,13.0,2.0,11.0,7.0,17.0,0.0,1203.0,19.0,72.0,525.0,618.0,154.0,1200.0,37.0,59.0,62.7,639.0,34.0,21.0,16.0,941.0,81.0,36.0,0.0,45.0,21.0,14.0,0.0,0.0,0.0,77.0,25.0,41.0,37.9
-Tolgay Arslan,de GER,MF,Udinese,30,1990,30.0,22.0,1658.0,1.0,0.0,0.0,0.0,9.0,0.0,0.05,0.0,0.05,0.05,0.05,1.7,1.7,0.09,0.09,18.4,9.0,1.0,39.1,0.49,0.04,0.11,0.07,-0.7,-0.7,532.0,677.0,78.6,8981.0,2491.0,221.0,267.0,82.8,242.0,290.0,83.4,43.0,69.0,62.3,15.0,79.0,9.0,2.0,86.0,649.0,28.0,19.0,2.0,2.0,33.0,7.0,2.0,5.0,0.0,1.0,0.0,13.0,48.0,2.6,30.0,5.0,1.0,4.0,7.0,8.0,0.43,3.0,0.0,0.0,2.0,3.0,0.0,35.0,20.0,15.0,16.0,4.0,19.0,50.0,38.0,31.0,17.0,4.0,13.0,13.0,23.0,1.0,866.0,34.0,166.0,499.0,216.0,19.0,866.0,22.0,34.0,64.7,463.0,35.0,29.0,4.0,518.0,27.0,15.0,0.0,28.0,36.0,0.0,1.0,0.0,0.0,140.0,6.0,8.0,42.9
-Arthur,br BRA,FW,Fiorentina,23,1998,14.0,8.0,749.0,2.0,2.0,0.0,0.0,1.0,0.0,0.24,0.24,0.48,0.24,0.48,4.3,4.3,0.52,0.52,8.3,8.0,0.0,34.8,0.96,0.09,0.25,0.19,-2.3,-2.3,110.0,142.0,77.5,1728.0,248.0,59.0,71.0,83.1,36.0,46.0,78.3,8.0,11.0,72.7,7.0,7.0,2.0,0.0,10.0,126.0,16.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,17.0,2.05,10.0,0.0,3.0,1.0,2.0,5.0,0.6,3.0,0.0,1.0,1.0,0.0,0.0,9.0,5.0,2.0,5.0,2.0,4.0,7.0,57.1,3.0,4.0,1.0,3.0,1.0,8.0,0.0,231.0,10.0,30.0,116.0,90.0,42.0,231.0,9.0,14.0,64.3,117.0,8.0,6.0,4.0,163.0,17.0,8.0,0.0,16.0,10.0,1.0,0.0,0.0,0.0,15.0,12.0,26.0,31.6
-Kristoffer Askildsen,no NOR,MF,Sampdoria,20,2001,19.0,7.0,754.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.06,0.06,8.4,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.5,-0.5,147.0,226.0,65.0,2158.0,804.0,83.0,107.0,77.6,43.0,64.0,67.2,10.0,26.0,38.5,2.0,20.0,1.0,0.0,17.0,215.0,8.0,5.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,3.0,5.0,7.0,0.84,5.0,0.0,2.0,0.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,0.0,18.0,6.0,7.0,11.0,0.0,9.0,19.0,47.4,10.0,14.0,7.0,7.0,15.0,15.0,0.0,323.0,36.0,101.0,160.0,66.0,8.0,323.0,4.0,5.0,80.0,138.0,5.0,4.0,1.0,157.0,9.0,5.0,0.0,17.0,14.0,0.0,0.0,0.0,1.0,43.0,21.0,10.0,67.7
-Kristjan Asllani,al ALB,MF,Empoli,19,2002,23.0,14.0,1353.0,1.0,1.0,0.0,0.0,2.0,0.0,0.07,0.07,0.13,0.07,0.13,0.7,0.7,0.05,0.05,15.0,6.0,2.0,35.3,0.4,0.06,0.17,0.04,0.3,0.3,638.0,779.0,81.9,12159.0,3636.0,251.0,279.0,90.0,290.0,319.0,90.9,85.0,158.0,53.8,7.0,65.0,4.0,0.0,62.0,718.0,60.0,36.0,1.0,6.0,29.0,19.0,9.0,7.0,0.0,4.0,1.0,7.0,30.0,2.0,22.0,3.0,0.0,3.0,2.0,3.0,0.2,3.0,0.0,0.0,0.0,0.0,0.0,18.0,9.0,9.0,8.0,1.0,11.0,29.0,37.9,18.0,16.0,7.0,9.0,19.0,15.0,1.0,897.0,48.0,274.0,498.0,130.0,5.0,897.0,7.0,10.0,70.0,573.0,10.0,11.0,2.0,596.0,18.0,7.0,0.0,13.0,23.0,0.0,0.0,0.0,0.0,122.0,4.0,6.0,40.0
-Emil Audero,it ITA,GK,Sampdoria,24,1997,29.0,29.0,2560.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,706.0,1005.0,70.2,22466.0,16952.0,105.0,105.0,100.0,288.0,297.0,97.0,311.0,593.0,52.4,2.0,20.0,1.0,0.0,0.0,698.0,300.0,88.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,5.0,0.18,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,3.0,5.0,60.0,2.0,0.0,0.0,0.0,2.0,17.0,2.0,1076.0,953.0,1074.0,2.0,0.0,0.0,1076.0,0.0,0.0,0.0,593.0,0.0,0.0,0.0,501.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,31.0,7.0,0.0,100.0
-Tommaso Augello,it ITA,DF,Sampdoria,26,1994,36.0,25.0,2395.0,1.0,1.0,0.0,0.0,0.0,0.0,0.04,0.04,0.08,0.04,0.08,0.5,0.5,0.02,0.02,26.6,2.0,0.0,28.6,0.08,0.14,0.5,0.08,0.5,0.5,1050.0,1368.0,76.8,18085.0,7464.0,472.0,539.0,87.6,478.0,593.0,80.6,78.0,157.0,49.7,17.0,60.0,33.0,15.0,90.0,1094.0,271.0,34.0,1.0,3.0,74.0,4.0,0.0,0.0,0.0,233.0,3.0,48.0,49.0,1.84,34.0,4.0,5.0,1.0,3.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,0.0,36.0,20.0,22.0,8.0,6.0,17.0,29.0,58.6,12.0,19.0,4.0,15.0,29.0,68.0,1.0,1614.0,96.0,616.0,633.0,384.0,14.0,1614.0,23.0,44.0,52.3,867.0,60.0,30.0,2.0,898.0,29.0,13.0,0.0,12.0,21.0,1.0,0.0,0.0,0.0,172.0,33.0,19.0,63.5
-Ramzi Aya,it ITA,DF,Salernitana,30,1990,2.0,2.0,135.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,19.0,27.0,70.4,339.0,130.0,8.0,8.0,100.0,9.0,15.0,60.0,2.0,4.0,50.0,0.0,1.0,0.0,0.0,1.0,20.0,7.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,33.0,4.0,11.0,18.0,4.0,0.0,33.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0
-Kaan Ayhan,tr TUR,DF,Sassuolo,26,1994,23.0,14.0,1354.0,1.0,0.0,0.0,0.0,2.0,1.0,0.07,0.0,0.07,0.07,0.07,0.4,0.4,0.03,0.03,15.0,1.0,2.0,20.0,0.07,0.2,1.0,0.08,0.6,0.6,790.0,871.0,90.7,15101.0,6145.0,297.0,314.0,94.6,386.0,408.0,94.6,98.0,130.0,75.4,2.0,61.0,3.0,0.0,68.0,824.0,43.0,37.0,3.0,12.0,2.0,0.0,0.0,0.0,0.0,3.0,4.0,2.0,8.0,0.53,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,12.0,14.0,6.0,0.0,7.0,15.0,46.7,8.0,20.0,14.0,6.0,13.0,57.0,0.0,999.0,115.0,477.0,504.0,21.0,5.0,999.0,1.0,1.0,100.0,574.0,19.0,3.0,0.0,692.0,2.0,0.0,0.0,13.0,5.0,1.0,0.0,1.0,0.0,68.0,24.0,34.0,41.4
-Milan Badelj,hr CRO,MF,Genoa,32,1989,34.0,34.0,2844.0,1.0,0.0,0.0,0.0,4.0,0.0,0.03,0.0,0.03,0.03,0.03,1.3,1.3,0.04,0.04,31.6,5.0,0.0,23.8,0.16,0.05,0.2,0.06,-0.3,-0.3,1230.0,1575.0,78.1,21537.0,7729.0,548.0,650.0,84.3,523.0,621.0,84.2,124.0,210.0,59.0,26.0,144.0,17.0,3.0,176.0,1522.0,43.0,39.0,4.0,12.0,10.0,0.0,0.0,0.0,0.0,4.0,10.0,28.0,72.0,2.28,64.0,0.0,1.0,1.0,2.0,2.0,0.06,0.0,0.0,1.0,0.0,1.0,0.0,64.0,37.0,25.0,30.0,9.0,34.0,80.0,42.5,46.0,39.0,7.0,32.0,85.0,43.0,0.0,1922.0,76.0,466.0,1186.0,297.0,25.0,1922.0,34.0,50.0,68.0,944.0,19.0,32.0,6.0,1119.0,47.0,26.0,0.0,39.0,19.0,0.0,1.0,0.0,0.0,258.0,34.0,28.0,54.8
-Nicola Bagnolini,it ITA,GK,Bologna,17,2004,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Issa Bah,lu LUX,FW,Venezia,19,2002,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,100.0,81.0,17.0,2.0,2.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,6.0,1.0,0.0,8.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Nedim Bajrami,al ALB,"MF,FW",Empoli,22,1999,35.0,23.0,2054.0,6.0,5.0,3.0,3.0,3.0,0.0,0.26,0.22,0.48,0.13,0.35,7.0,4.7,0.31,0.2,22.8,18.0,8.0,35.3,0.79,0.06,0.17,0.09,-1.0,-1.7,621.0,898.0,69.2,9775.0,3179.0,327.0,387.0,84.5,220.0,286.0,76.9,50.0,149.0,33.6,54.0,49.0,44.0,8.0,117.0,730.0,163.0,32.0,5.0,4.0,156.0,97.0,40.0,47.0,0.0,8.0,5.0,31.0,104.0,4.55,66.0,21.0,8.0,5.0,1.0,7.0,0.31,5.0,1.0,0.0,1.0,0.0,0.0,21.0,14.0,5.0,13.0,3.0,4.0,14.0,28.6,10.0,11.0,0.0,11.0,3.0,8.0,0.0,1119.0,10.0,75.0,444.0,621.0,89.0,1116.0,42.0,71.0,59.2,639.0,72.0,39.0,27.0,742.0,55.0,34.0,0.0,16.0,14.0,7.0,0.0,0.0,0.0,91.0,0.0,14.0,0.0
-Tiemoué Bakayoko,fr FRA,MF,Milan,26,1994,14.0,5.0,501.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,5.6,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.3,-0.3,269.0,304.0,88.5,4451.0,1013.0,140.0,156.0,89.7,91.0,98.0,92.9,32.0,36.0,88.9,3.0,27.0,2.0,0.0,26.0,303.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,1.26,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,13.0,9.0,7.0,3.0,5.0,16.0,31.3,11.0,8.0,1.0,7.0,9.0,10.0,2.0,374.0,16.0,83.0,236.0,59.0,4.0,374.0,4.0,7.0,57.1,184.0,3.0,7.0,0.0,242.0,3.0,4.0,0.0,12.0,10.0,0.0,0.0,1.0,0.0,33.0,16.0,8.0,66.7
-Tommaso Baldanzi,it ITA,FW,Empoli,18,2003,1.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,35.0,0.0,4.0,4.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,10.0,0.0,0.0,2.0,8.0,0.0,10.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Keita Baldé,sn SEN,FW,Cagliari,26,1995,26.0,14.0,1229.0,3.0,1.0,0.0,0.0,2.0,0.0,0.22,0.07,0.29,0.22,0.29,3.9,3.9,0.29,0.29,13.7,11.0,0.0,40.7,0.81,0.11,0.27,0.15,-0.9,-0.9,187.0,260.0,71.9,2522.0,464.0,106.0,128.0,82.8,51.0,74.0,68.9,10.0,13.0,76.9,10.0,14.0,6.0,0.0,22.0,248.0,12.0,1.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,23.0,1.68,14.0,0.0,1.0,4.0,3.0,2.0,0.15,1.0,0.0,0.0,0.0,1.0,0.0,8.0,4.0,1.0,5.0,2.0,1.0,10.0,10.0,9.0,6.0,0.0,6.0,4.0,6.0,0.0,411.0,6.0,23.0,183.0,209.0,51.0,411.0,6.0,18.0,33.3,234.0,14.0,12.0,4.0,305.0,49.0,10.0,0.0,27.0,30.0,9.0,1.0,1.0,0.0,33.0,20.0,46.0,30.3
-Fodé Ballo-Touré,sn SEN,DF,Milan,24,1997,10.0,5.0,446.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,5.0,1.0,0.0,50.0,0.2,0.0,0.0,0.13,-0.3,-0.3,230.0,272.0,84.6,3621.0,957.0,121.0,134.0,90.3,92.0,106.0,86.8,11.0,16.0,68.8,4.0,13.0,8.0,3.0,20.0,234.0,37.0,6.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,31.0,1.0,4.0,13.0,2.62,11.0,0.0,1.0,0.0,1.0,2.0,0.4,2.0,0.0,0.0,0.0,0.0,0.0,18.0,14.0,5.0,13.0,0.0,4.0,9.0,44.4,5.0,6.0,2.0,4.0,3.0,5.0,0.0,329.0,9.0,61.0,162.0,109.0,14.0,329.0,5.0,10.0,50.0,188.0,17.0,10.0,0.0,196.0,5.0,6.0,0.0,12.0,10.0,1.0,0.0,1.0,0.0,35.0,5.0,9.0,35.7
-Filippo Bandinelli,it ITA,MF,Empoli,26,1995,35.0,24.0,1955.0,2.0,3.0,0.0,0.0,10.0,0.0,0.09,0.14,0.23,0.09,0.23,2.9,2.9,0.13,0.13,21.7,11.0,0.0,31.4,0.51,0.06,0.18,0.08,-0.9,-0.9,537.0,733.0,73.3,8769.0,3104.0,273.0,315.0,86.7,197.0,256.0,77.0,46.0,96.0,47.9,32.0,60.0,41.0,13.0,104.0,700.0,26.0,4.0,4.0,6.0,68.0,6.0,1.0,1.0,0.0,14.0,7.0,21.0,58.0,2.67,46.0,4.0,3.0,3.0,1.0,4.0,0.18,4.0,0.0,0.0,0.0,0.0,0.0,33.0,20.0,10.0,17.0,6.0,15.0,31.0,48.4,16.0,22.0,5.0,17.0,10.0,37.0,2.0,976.0,54.0,213.0,423.0,354.0,43.0,976.0,17.0,39.0,43.6,564.0,57.0,42.0,10.0,627.0,40.0,25.0,0.0,53.0,18.0,5.0,0.0,1.0,0.0,117.0,12.0,31.0,27.9
-Mattia Bani,it ITA,DF,Genoa,27,1993,17.0,13.0,1211.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,1.2,0.09,0.09,13.5,1.0,0.0,11.1,0.07,0.0,0.0,0.13,-1.2,-1.2,333.0,469.0,71.0,6336.0,2698.0,123.0,151.0,81.5,166.0,201.0,82.6,36.0,96.0,37.5,3.0,16.0,0.0,0.0,24.0,425.0,42.0,34.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,5.0,0.37,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,13.0,17.0,6.0,0.0,14.0,18.0,77.8,4.0,19.0,11.0,8.0,20.0,76.0,0.0,642.0,129.0,383.0,240.0,25.0,18.0,642.0,1.0,1.0,100.0,248.0,1.0,1.0,0.0,262.0,8.0,0.0,0.0,14.0,19.0,0.0,0.0,0.0,0.0,70.0,42.0,27.0,60.9
-Antonín Barák,cz CZE,"MF,FW",Hellas Verona,26,1994,29.0,27.0,2340.0,11.0,4.0,4.0,4.0,4.0,0.0,0.42,0.15,0.58,0.27,0.42,9.8,6.7,0.38,0.26,26.0,20.0,2.0,42.6,0.77,0.15,0.35,0.14,1.2,0.3,876.0,1107.0,79.1,11982.0,3508.0,520.0,610.0,85.2,275.0,331.0,83.1,33.0,52.0,63.5,28.0,81.0,22.0,1.0,147.0,1081.0,17.0,5.0,2.0,4.0,13.0,0.0,0.0,0.0,0.0,6.0,9.0,37.0,70.0,2.69,57.0,1.0,4.0,6.0,2.0,9.0,0.35,6.0,0.0,1.0,1.0,1.0,0.0,18.0,8.0,9.0,8.0,1.0,5.0,17.0,29.4,12.0,32.0,5.0,27.0,6.0,26.0,0.0,1376.0,40.0,185.0,723.0,488.0,91.0,1372.0,31.0,55.0,56.4,851.0,68.0,51.0,16.0,1039.0,42.0,54.0,0.0,27.0,17.0,3.0,1.0,0.0,0.0,156.0,41.0,68.0,37.6
-Francesco Bardi,it ITA,GK,Bologna,29,1992,2.0,2.0,177.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,49.0,67.3,748.0,587.0,10.0,10.0,100.0,12.0,12.0,100.0,10.0,25.0,40.0,0.0,0.0,0.0,0.0,0.0,30.0,18.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,54.0,49.0,54.0,0.0,0.0,0.0,54.0,0.0,0.0,0.0,25.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Nicolò Barella,it ITA,MF,Inter,24,1997,36.0,36.0,2913.0,3.0,11.0,0.0,0.0,9.0,0.0,0.09,0.34,0.43,0.09,0.43,5.6,5.6,0.17,0.17,32.4,12.0,0.0,17.6,0.37,0.04,0.25,0.08,-2.6,-2.6,1554.0,1876.0,82.8,24817.0,7894.0,824.0,916.0,90.0,552.0,641.0,86.1,125.0,191.0,65.4,64.0,191.0,84.0,16.0,231.0,1836.0,31.0,17.0,11.0,15.0,66.0,0.0,0.0,0.0,0.0,14.0,9.0,44.0,140.0,4.32,116.0,0.0,10.0,6.0,6.0,21.0,0.65,18.0,0.0,1.0,1.0,1.0,0.0,63.0,42.0,17.0,35.0,11.0,29.0,55.0,52.7,26.0,26.0,2.0,24.0,21.0,8.0,2.0,2199.0,28.0,344.0,1133.0,757.0,95.0,2199.0,37.0,64.0,57.8,1427.0,114.0,69.0,15.0,1703.0,56.0,38.0,0.0,30.0,52.0,4.0,1.0,0.0,0.0,190.0,22.0,24.0,47.8
-Musa Barrow,gm GAM,"FW,MF",Bologna,22,1998,34.0,25.0,2134.0,6.0,6.0,0.0,0.0,0.0,0.0,0.25,0.25,0.51,0.25,0.51,6.3,6.3,0.26,0.26,23.7,27.0,3.0,38.0,1.14,0.08,0.22,0.09,-0.3,-0.3,698.0,923.0,75.6,11505.0,2721.0,379.0,423.0,89.6,206.0,277.0,74.4,79.0,160.0,49.4,45.0,50.0,39.0,14.0,82.0,821.0,99.0,26.0,7.0,15.0,112.0,59.0,40.0,5.0,0.0,10.0,3.0,15.0,87.0,3.67,65.0,11.0,3.0,4.0,4.0,10.0,0.42,8.0,1.0,0.0,1.0,0.0,0.0,12.0,4.0,4.0,4.0,4.0,6.0,20.0,30.0,14.0,20.0,1.0,19.0,6.0,8.0,0.0,1193.0,6.0,118.0,495.0,600.0,78.0,1193.0,31.0,63.0,49.2,753.0,61.0,51.0,22.0,911.0,63.0,52.0,0.0,10.0,25.0,6.0,0.0,0.0,0.0,93.0,15.0,48.0,23.8
-Daniele Baselli,it ITA,"MF,FW",Torino,29,1992,6.0,0.0,150.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.23,0.23,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.37,-0.4,-0.4,64.0,89.0,71.9,1060.0,329.0,33.0,46.0,71.7,22.0,29.0,75.9,6.0,8.0,75.0,1.0,5.0,0.0,0.0,10.0,82.0,7.0,3.0,0.0,0.0,5.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,2.0,1.23,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,0.0,1.0,2.0,6.0,33.3,4.0,0.0,0.0,0.0,1.0,2.0,0.0,102.0,4.0,25.0,45.0,33.0,3.0,102.0,1.0,2.0,50.0,49.0,1.0,5.0,0.0,62.0,3.0,0.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,11.0,2.0,6.0,25.0
-Daniele Baselli,it ITA,MF,Cagliari,29,1992,9.0,2.0,290.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.31,0.31,0.0,0.31,0.6,0.6,0.18,0.18,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.6,-0.6,110.0,151.0,72.8,1828.0,716.0,60.0,73.0,82.2,33.0,41.0,80.5,13.0,28.0,46.4,8.0,11.0,4.0,1.0,14.0,131.0,20.0,9.0,1.0,0.0,17.0,10.0,7.0,3.0,0.0,1.0,0.0,3.0,15.0,4.69,8.0,3.0,0.0,2.0,0.0,1.0,0.31,0.0,1.0,0.0,0.0,0.0,0.0,6.0,5.0,3.0,1.0,2.0,1.0,5.0,20.0,4.0,2.0,0.0,2.0,2.0,5.0,0.0,189.0,5.0,40.0,89.0,62.0,2.0,189.0,4.0,9.0,44.4,103.0,4.0,6.0,0.0,107.0,5.0,8.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,24.0,2.0,3.0,40.0
-Toma Bašić,hr CRO,MF,Lazio,24,1996,29.0,9.0,982.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,1.8,1.8,0.16,0.16,10.9,11.0,2.0,68.8,1.01,0.0,0.0,0.13,-1.8,-1.8,386.0,451.0,85.6,5589.0,990.0,215.0,236.0,91.1,136.0,156.0,87.2,17.0,28.0,60.7,6.0,21.0,1.0,0.0,26.0,436.0,14.0,6.0,0.0,1.0,15.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,9.0,0.83,5.0,1.0,1.0,2.0,0.0,3.0,0.28,1.0,1.0,0.0,1.0,0.0,0.0,12.0,8.0,3.0,9.0,0.0,5.0,17.0,29.4,12.0,13.0,4.0,9.0,4.0,21.0,0.0,570.0,27.0,95.0,331.0,148.0,24.0,570.0,7.0,14.0,50.0,318.0,18.0,15.0,2.0,404.0,17.0,6.0,0.0,13.0,6.0,0.0,0.0,0.0,0.0,41.0,8.0,10.0,44.4
-Alessandro Bastoni,it ITA,DF,Inter,22,1999,31.0,29.0,2311.0,1.0,2.0,0.0,0.0,4.0,0.0,0.04,0.08,0.12,0.04,0.12,0.4,0.4,0.01,0.01,25.7,2.0,0.0,22.2,0.08,0.11,0.5,0.04,0.6,0.6,1599.0,1810.0,88.3,29365.0,9419.0,666.0,723.0,92.1,720.0,777.0,92.7,177.0,237.0,74.7,14.0,120.0,16.0,5.0,132.0,1684.0,120.0,58.0,2.0,29.0,29.0,2.0,0.0,0.0,0.0,30.0,6.0,25.0,45.0,1.75,39.0,0.0,2.0,2.0,0.0,5.0,0.19,5.0,0.0,0.0,0.0,0.0,0.0,44.0,25.0,28.0,13.0,3.0,17.0,34.0,50.0,17.0,22.0,12.0,10.0,35.0,59.0,1.0,2036.0,242.0,881.0,956.0,218.0,18.0,2036.0,11.0,19.0,57.9,1280.0,30.0,30.0,5.0,1448.0,21.0,5.0,0.0,30.0,28.0,0.0,0.0,1.0,0.0,152.0,43.0,26.0,62.3
-Simone Bastoni,it ITA,"MF,DF",Spezia,24,1996,31.0,26.0,2288.0,3.0,3.0,0.0,0.0,5.0,1.0,0.12,0.12,0.24,0.12,0.24,1.6,1.6,0.06,0.06,25.4,6.0,0.0,21.4,0.24,0.11,0.5,0.06,1.4,1.4,876.0,1224.0,71.6,15095.0,6360.0,439.0,492.0,89.2,302.0,405.0,74.6,111.0,232.0,47.8,47.0,92.0,32.0,13.0,117.0,1015.0,201.0,55.0,8.0,13.0,113.0,38.0,14.0,20.0,0.0,108.0,8.0,37.0,80.0,3.15,49.0,22.0,3.0,4.0,1.0,5.0,0.2,3.0,1.0,0.0,1.0,0.0,0.0,52.0,34.0,28.0,17.0,7.0,21.0,65.0,32.3,44.0,38.0,11.0,27.0,30.0,31.0,0.0,1546.0,68.0,403.0,716.0,461.0,28.0,1546.0,42.0,68.0,61.8,804.0,50.0,45.0,6.0,887.0,61.0,32.0,0.0,30.0,35.0,1.0,0.0,0.0,0.0,185.0,25.0,13.0,65.8
-Rodrigo Becão,br BRA,DF,Udinese,25,1996,35.0,35.0,3130.0,2.0,1.0,0.0,0.0,10.0,0.0,0.06,0.03,0.09,0.06,0.09,1.9,1.9,0.05,0.05,34.8,5.0,0.0,26.3,0.14,0.11,0.4,0.1,0.1,0.1,1117.0,1428.0,78.2,18775.0,7448.0,515.0,580.0,88.8,493.0,593.0,83.1,77.0,189.0,40.7,10.0,52.0,5.0,1.0,74.0,1270.0,157.0,49.0,1.0,3.0,17.0,0.0,0.0,0.0,0.0,105.0,1.0,16.0,27.0,0.78,20.0,3.0,1.0,0.0,3.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,81.0,46.0,49.0,30.0,2.0,34.0,60.0,56.7,26.0,45.0,20.0,25.0,42.0,89.0,3.0,1755.0,200.0,852.0,744.0,175.0,42.0,1755.0,5.0,8.0,62.5,848.0,23.0,19.0,3.0,977.0,18.0,7.0,0.0,57.0,45.0,4.0,0.0,1.0,0.0,193.0,63.0,32.0,66.3
-Valon Behrami,ch SUI,"MF,FW",Genoa,36,1985,10.0,2.0,311.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,44.0,66.0,66.7,655.0,184.0,20.0,28.0,71.4,20.0,27.0,74.1,2.0,5.0,40.0,1.0,5.0,1.0,0.0,8.0,63.0,3.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,5.0,1.45,4.0,0.0,0.0,1.0,0.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,2.0,1.0,0.0,7.0,0.0,7.0,4.0,1.0,3.0,1.0,4.0,0.0,90.0,9.0,20.0,53.0,17.0,3.0,90.0,1.0,1.0,100.0,42.0,2.0,0.0,1.0,44.0,6.0,3.0,0.0,8.0,5.0,0.0,0.0,0.0,0.0,13.0,0.0,7.0,0.0
-Vid Belec,si SVN,GK,Salernitana,31,1990,23.0,21.0,1938.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,367.0,575.0,63.8,13133.0,11059.0,48.0,48.0,100.0,130.0,134.0,97.0,187.0,389.0,48.1,0.0,16.0,1.0,0.0,0.0,329.0,245.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,629.0,562.0,628.0,1.0,0.0,0.0,629.0,0.0,0.0,0.0,308.0,0.0,0.0,0.0,180.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,14.0,1.0,0.0,100.0
-Raoul Bellanova,it ITA,"DF,FW",Cagliari,21,2000,31.0,27.0,2496.0,1.0,2.0,0.0,0.0,3.0,0.0,0.04,0.07,0.11,0.04,0.11,2.0,2.0,0.07,0.07,27.7,5.0,0.0,21.7,0.18,0.04,0.2,0.09,-1.0,-1.0,667.0,933.0,71.5,11452.0,2964.0,335.0,407.0,82.3,241.0,333.0,72.4,74.0,127.0,58.3,32.0,40.0,27.0,21.0,46.0,837.0,95.0,4.0,0.0,6.0,96.0,0.0,0.0,0.0,0.0,91.0,1.0,29.0,66.0,2.38,54.0,1.0,4.0,2.0,5.0,8.0,0.29,8.0,0.0,0.0,0.0,0.0,0.0,29.0,15.0,14.0,12.0,3.0,6.0,27.0,22.2,21.0,39.0,8.0,31.0,21.0,51.0,0.0,1228.0,68.0,328.0,496.0,424.0,53.0,1228.0,39.0,73.0,53.4,720.0,81.0,38.0,10.0,755.0,42.0,22.0,0.0,10.0,35.0,2.0,0.0,1.0,0.0,123.0,15.0,26.0,36.6
-Andrea Belotti,it ITA,FW,Torino,27,1993,22.0,16.0,1371.0,8.0,1.0,3.0,3.0,1.0,0.0,0.53,0.07,0.59,0.33,0.39,8.3,6.0,0.55,0.39,15.2,17.0,3.0,30.9,1.12,0.09,0.29,0.11,-0.3,-1.0,252.0,369.0,68.3,3263.0,432.0,167.0,209.0,79.9,64.0,89.0,71.9,8.0,18.0,44.4,10.0,18.0,3.0,0.0,24.0,341.0,25.0,2.0,2.0,4.0,13.0,0.0,0.0,0.0,0.0,1.0,3.0,17.0,38.0,2.49,18.0,2.0,2.0,7.0,9.0,4.0,0.26,1.0,0.0,1.0,0.0,2.0,0.0,7.0,3.0,2.0,2.0,3.0,3.0,12.0,25.0,9.0,12.0,4.0,8.0,2.0,9.0,0.0,551.0,14.0,27.0,236.0,293.0,83.0,548.0,15.0,25.0,60.0,318.0,25.0,10.0,10.0,461.0,59.0,28.0,0.0,26.0,51.0,16.0,1.0,0.0,0.0,41.0,55.0,77.0,41.7
-Marco Benassi,it ITA,"DF,MF",Fiorentina,26,1994,6.0,1.0,158.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,108.0,133.0,81.2,1918.0,573.0,48.0,55.0,87.3,48.0,59.0,81.4,12.0,16.0,75.0,1.0,9.0,1.0,0.0,11.0,116.0,17.0,4.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,12.0,0.0,4.0,1.0,0.56,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,3.0,0.0,3.0,3.0,3.0,0.0,146.0,6.0,45.0,65.0,37.0,2.0,146.0,1.0,1.0,100.0,75.0,3.0,0.0,1.0,97.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,9.0,3.0,5.0,37.5
-Marco Benassi,it ITA,MF,Empoli,26,1994,12.0,3.0,382.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.21,0.21,4.2,3.0,0.0,42.9,0.71,0.0,0.0,0.13,-0.9,-0.9,117.0,174.0,67.2,1907.0,598.0,57.0,76.0,75.0,49.0,64.0,76.6,7.0,15.0,46.7,4.0,14.0,5.0,0.0,23.0,161.0,13.0,1.0,1.0,1.0,13.0,1.0,0.0,1.0,0.0,9.0,0.0,10.0,7.0,1.65,5.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,3.0,2.0,1.0,1.0,10.0,10.0,9.0,4.0,0.0,4.0,3.0,6.0,0.0,216.0,9.0,27.0,114.0,78.0,15.0,216.0,1.0,4.0,25.0,119.0,13.0,7.0,2.0,145.0,5.0,1.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,14.0,7.0,14.0,33.3
-Filip Benković,hr CRO,"DF,FW",Udinese,24,1997,2.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,1.02,1.02,0.1,1.0,0.0,100.0,11.25,0.0,0.0,0.09,-0.1,-0.1,4.0,5.0,80.0,63.0,15.0,2.0,3.0,66.7,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,3.0,2.0,1.0,1.0,6.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,66.7
-Ismaël Bennacer,dz ALG,MF,Milan,23,1997,31.0,15.0,1525.0,2.0,1.0,0.0,0.0,7.0,0.0,0.12,0.06,0.18,0.12,0.18,0.9,0.9,0.05,0.05,16.9,6.0,2.0,37.5,0.35,0.13,0.33,0.06,1.1,1.1,950.0,1102.0,86.2,16910.0,5262.0,417.0,454.0,91.9,394.0,442.0,89.1,111.0,154.0,72.1,22.0,119.0,21.0,2.0,140.0,1037.0,61.0,41.0,4.0,12.0,24.0,15.0,4.0,5.0,0.0,5.0,4.0,9.0,61.0,3.6,44.0,7.0,4.0,1.0,3.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,0.0,44.0,30.0,22.0,15.0,7.0,21.0,50.0,42.0,29.0,20.0,4.0,16.0,25.0,15.0,0.0,1293.0,44.0,228.0,838.0,247.0,12.0,1293.0,36.0,47.0,76.6,790.0,28.0,27.0,3.0,881.0,29.0,26.0,0.0,25.0,44.0,0.0,0.0,0.0,0.0,153.0,15.0,18.0,45.5
-Rodrigo Bentancur,uy URU,MF,Juventus,24,1997,19.0,13.0,1155.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.08,0.08,0.0,0.08,0.7,0.7,0.05,0.05,12.8,1.0,0.0,12.5,0.08,0.0,0.0,0.08,-0.7,-0.7,659.0,758.0,86.9,10862.0,2857.0,315.0,346.0,91.0,284.0,310.0,91.6,40.0,59.0,67.8,11.0,81.0,3.0,0.0,79.0,746.0,11.0,10.0,2.0,2.0,4.0,0.0,0.0,0.0,0.0,1.0,1.0,11.0,36.0,2.81,30.0,1.0,0.0,3.0,0.0,3.0,0.23,2.0,0.0,0.0,1.0,0.0,0.0,32.0,18.0,11.0,18.0,3.0,7.0,20.0,35.0,13.0,15.0,2.0,13.0,26.0,15.0,1.0,887.0,27.0,164.0,578.0,155.0,10.0,887.0,7.0,11.0,63.6,521.0,22.0,17.0,2.0,628.0,17.0,13.0,0.0,25.0,8.0,0.0,0.0,0.0,0.0,86.0,20.0,20.0,50.0
-Alessandro Berardi,it ITA,GK,Hellas Verona,30,1991,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,30.0,43.3,437.0,298.0,0.0,0.0,0.0,8.0,8.0,100.0,5.0,22.0,22.7,0.0,0.0,0.0,0.0,0.0,21.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,26.0,32.0,0.0,0.0,0.0,32.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Domenico Berardi,it ITA,FW,Sassuolo,26,1994,33.0,33.0,2819.0,15.0,14.0,6.0,6.0,9.0,0.0,0.48,0.45,0.93,0.29,0.73,13.2,8.5,0.42,0.27,31.3,40.0,8.0,38.5,1.28,0.09,0.23,0.08,1.8,0.5,996.0,1402.0,71.0,18710.0,5463.0,436.0,526.0,82.9,380.0,504.0,75.4,147.0,230.0,63.9,82.0,102.0,65.0,7.0,183.0,1284.0,115.0,43.0,15.0,37.0,102.0,59.0,39.0,3.0,1.0,13.0,3.0,51.0,170.0,5.42,126.0,22.0,8.0,3.0,8.0,22.0,0.7,17.0,2.0,1.0,0.0,2.0,0.0,32.0,19.0,9.0,16.0,7.0,15.0,57.0,26.3,42.0,39.0,2.0,37.0,31.0,23.0,0.0,1804.0,31.0,184.0,794.0,859.0,115.0,1798.0,30.0,68.0,44.1,1172.0,77.0,67.0,26.0,1331.0,63.0,43.0,0.0,53.0,76.0,11.0,2.0,0.0,0.0,151.0,18.0,18.0,50.0
-Bartosz Bereszyński,pl POL,DF,Sampdoria,29,1992,35.0,35.0,2946.0,0.0,3.0,0.0,0.0,12.0,0.0,0.0,0.09,0.09,0.0,0.09,0.5,0.5,0.02,0.02,32.7,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.5,-0.5,1251.0,1606.0,77.9,18173.0,7708.0,710.0,808.0,87.9,390.0,506.0,77.1,78.0,159.0,49.1,20.0,77.0,28.0,12.0,105.0,1322.0,279.0,45.0,0.0,7.0,60.0,1.0,0.0,0.0,0.0,233.0,5.0,43.0,54.0,1.65,39.0,7.0,4.0,2.0,2.0,7.0,0.21,4.0,2.0,1.0,0.0,0.0,0.0,64.0,38.0,34.0,25.0,5.0,37.0,80.0,46.3,43.0,38.0,12.0,26.0,42.0,73.0,1.0,1939.0,113.0,684.0,846.0,426.0,31.0,1939.0,27.0,47.0,57.4,1011.0,52.0,32.0,5.0,1076.0,38.0,17.0,0.0,34.0,37.0,0.0,0.0,0.0,0.0,191.0,45.0,20.0,69.2
-Etrit Berisha,al ALB,GK,Torino,32,1989,10.0,10.0,900.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,176.0,319.0,55.2,5860.0,4579.0,23.0,24.0,95.8,79.0,79.0,100.0,74.0,215.0,34.4,0.0,6.0,0.0,0.0,0.0,211.0,107.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,345.0,289.0,344.0,1.0,0.0,0.0,345.0,0.0,0.0,0.0,183.0,0.0,0.0,0.0,118.0,0.0,0.0,0.0,1.0,3.0,0.0,0.0,1.0,0.0,18.0,0.0,0.0,0.0
-Federico Bernardeschi,it ITA,"MF,FW",Juventus,27,1994,28.0,16.0,1475.0,1.0,3.0,0.0,0.0,5.0,0.0,0.06,0.18,0.24,0.06,0.24,1.9,1.9,0.11,0.11,16.4,7.0,0.0,21.2,0.43,0.03,0.14,0.06,-0.9,-0.9,452.0,592.0,76.4,7374.0,1931.0,241.0,274.0,88.0,151.0,186.0,81.2,44.0,82.0,53.7,17.0,31.0,22.0,2.0,73.0,537.0,52.0,14.0,4.0,11.0,51.0,26.0,7.0,9.0,1.0,12.0,3.0,17.0,62.0,3.78,40.0,5.0,6.0,8.0,3.0,4.0,0.24,3.0,0.0,0.0,1.0,0.0,0.0,16.0,10.0,7.0,4.0,5.0,6.0,13.0,46.2,7.0,12.0,4.0,8.0,5.0,15.0,0.0,776.0,25.0,135.0,295.0,359.0,44.0,776.0,32.0,61.0,52.5,468.0,40.0,31.0,19.0,548.0,35.0,14.0,0.0,16.0,27.0,4.0,0.0,0.0,0.0,82.0,7.0,17.0,29.2
-Nicolò Bertola,it ITA,"MF,DF",Spezia,18,2003,2.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.4,1.0,0.0,100.0,2.57,0.0,0.0,0.01,0.0,0.0,6.0,11.0,54.5,102.0,51.0,1.0,3.0,33.3,3.0,5.0,60.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,3.0,4.0,75.0,1.0,0.0,0.0,0.0,3.0,1.0,0.0,21.0,3.0,15.0,4.0,2.0,0.0,21.0,0.0,0.0,0.0,5.0,1.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
-Daniel Bessa,it ITA,MF,Hellas Verona,28,1993,24.0,5.0,768.0,1.0,1.0,0.0,0.0,5.0,1.0,0.12,0.12,0.23,0.12,0.23,0.4,0.4,0.05,0.05,8.5,2.0,0.0,20.0,0.23,0.1,0.5,0.04,0.6,0.6,383.0,479.0,80.0,5973.0,1903.0,186.0,214.0,86.9,143.0,161.0,88.8,29.0,59.0,49.2,10.0,45.0,16.0,0.0,68.0,453.0,24.0,12.0,0.0,2.0,17.0,8.0,3.0,4.0,0.0,3.0,2.0,11.0,26.0,3.05,25.0,0.0,0.0,1.0,0.0,4.0,0.47,4.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,3.0,3.0,1.0,4.0,15.0,26.7,11.0,13.0,3.0,10.0,5.0,11.0,0.0,565.0,16.0,104.0,303.0,164.0,13.0,565.0,12.0,16.0,75.0,327.0,16.0,12.0,3.0,377.0,8.0,14.0,1.0,21.0,12.0,2.0,0.0,0.0,0.0,84.0,8.0,7.0,53.3
-Beto,gw GNB,FW,Udinese,23,1998,28.0,24.0,2173.0,11.0,0.0,0.0,0.0,1.0,0.0,0.46,0.0,0.46,0.46,0.46,13.1,13.1,0.54,0.54,24.1,26.0,0.0,40.6,1.08,0.17,0.42,0.2,-2.1,-2.1,247.0,362.0,68.2,3463.0,584.0,151.0,204.0,74.0,71.0,109.0,65.1,12.0,17.0,70.6,20.0,23.0,11.0,1.0,26.0,331.0,29.0,0.0,1.0,5.0,2.0,0.0,0.0,0.0,0.0,3.0,2.0,5.0,49.0,2.03,31.0,0.0,7.0,9.0,2.0,3.0,0.12,1.0,0.0,0.0,2.0,0.0,0.0,21.0,6.0,2.0,14.0,5.0,9.0,19.0,47.4,10.0,16.0,1.0,15.0,5.0,25.0,1.0,719.0,27.0,47.0,352.0,338.0,111.0,719.0,40.0,74.0,54.1,383.0,31.0,33.0,16.0,491.0,104.0,54.0,0.0,52.0,24.0,13.0,0.0,0.0,0.0,54.0,73.0,123.0,37.2
-Luis Binks,eng ENG,DF,Bologna,19,2001,15.0,7.0,646.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,7.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,271.0,338.0,80.2,6017.0,2462.0,64.0,90.0,71.1,155.0,167.0,92.8,51.0,68.0,75.0,1.0,12.0,0.0,0.0,17.0,317.0,19.0,18.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,7.0,1.0,0.0,4.0,6.0,66.7,2.0,6.0,5.0,1.0,17.0,33.0,1.0,415.0,65.0,223.0,182.0,14.0,4.0,415.0,2.0,4.0,50.0,187.0,1.0,2.0,0.0,229.0,1.0,2.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,35.0,19.0,13.0,59.4
-Cristiano Biraghi,it ITA,DF,Fiorentina,28,1992,37.0,37.0,3153.0,4.0,1.0,1.0,2.0,5.0,1.0,0.11,0.03,0.14,0.09,0.11,3.7,2.2,0.11,0.06,35.0,16.0,14.0,44.4,0.46,0.08,0.19,0.06,0.3,0.8,2080.0,2600.0,80.0,39364.0,14210.0,846.0,918.0,92.2,942.0,1095.0,86.0,263.0,480.0,54.8,72.0,145.0,64.0,38.0,171.0,2017.0,575.0,130.0,0.0,34.0,278.0,121.0,18.0,82.0,0.0,324.0,8.0,55.0,126.0,3.59,64.0,55.0,0.0,6.0,1.0,8.0,0.23,5.0,3.0,0.0,0.0,0.0,0.0,37.0,24.0,17.0,15.0,5.0,22.0,53.0,41.5,31.0,28.0,10.0,18.0,19.0,31.0,1.0,2799.0,72.0,837.0,1122.0,862.0,46.0,2797.0,12.0,26.0,46.2,1460.0,61.0,52.0,8.0,1793.0,25.0,6.0,1.0,28.0,38.0,7.0,0.0,0.0,1.0,173.0,4.0,16.0,20.0
-Davide Biraschi,it ITA,DF,Genoa,27,1994,14.0,11.0,930.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,10.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,-0.1,-0.1,322.0,449.0,71.7,6059.0,2526.0,116.0,144.0,80.6,170.0,213.0,79.8,31.0,74.0,41.9,3.0,38.0,6.0,2.0,42.0,394.0,53.0,19.0,0.0,3.0,14.0,0.0,0.0,0.0,0.0,24.0,2.0,7.0,5.0,0.48,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,16.0,19.0,9.0,3.0,17.0,24.0,70.8,7.0,16.0,9.0,7.0,16.0,26.0,0.0,571.0,72.0,259.0,277.0,45.0,2.0,571.0,15.0,19.0,78.9,291.0,15.0,10.0,2.0,300.0,7.0,2.0,0.0,12.0,11.0,1.0,0.0,0.0,0.0,53.0,21.0,16.0,56.8
-Bjarki Bjarkason,is ISL,MF,Venezia,21,2000,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,6.0,2.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Jeremie Boga,ci CIV,"FW,MF",Atalanta,24,1997,15.0,7.0,764.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,1.3,0.16,0.16,8.5,5.0,0.0,23.8,0.59,0.0,0.0,0.06,-1.3,-1.3,333.0,419.0,79.5,4412.0,1219.0,222.0,260.0,85.4,68.0,86.0,79.1,23.0,34.0,67.6,20.0,26.0,26.0,1.0,53.0,390.0,28.0,4.0,2.0,2.0,24.0,16.0,9.0,4.0,0.0,8.0,1.0,11.0,51.0,6.01,32.0,6.0,6.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,0.0,4.0,3.0,4.0,6.0,66.7,2.0,6.0,0.0,6.0,1.0,3.0,1.0,531.0,5.0,44.0,180.0,315.0,59.0,531.0,31.0,59.0,52.5,366.0,64.0,40.0,27.0,406.0,21.0,18.0,0.0,1.0,17.0,3.0,0.0,0.0,0.0,37.0,3.0,6.0,33.3
-Jeremie Boga,ci CIV,"FW,MF",Sassuolo,24,1997,12.0,8.0,670.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.27,0.27,0.0,0.27,1.3,1.3,0.17,0.17,7.4,5.0,0.0,33.3,0.67,0.0,0.0,0.08,-1.3,-1.3,216.0,266.0,81.2,2738.0,478.0,150.0,170.0,88.2,56.0,69.0,81.2,3.0,5.0,60.0,7.0,10.0,3.0,0.0,17.0,263.0,2.0,0.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,1.0,1.0,7.0,24.0,3.22,16.0,0.0,5.0,1.0,2.0,4.0,0.54,2.0,0.0,1.0,0.0,1.0,0.0,7.0,4.0,1.0,2.0,4.0,2.0,3.0,66.7,1.0,3.0,0.0,3.0,2.0,1.0,1.0,353.0,1.0,44.0,162.0,159.0,34.0,353.0,28.0,48.0,58.3,249.0,46.0,27.0,22.0,292.0,19.0,7.0,0.0,1.0,9.0,2.0,1.0,0.0,0.0,25.0,2.0,5.0,28.6
-Luka Bogdan,hr CRO,DF,Salernitana,25,1996,6.0,4.0,399.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,4.4,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,93.0,134.0,69.4,1614.0,687.0,37.0,49.0,75.5,49.0,59.0,83.1,5.0,20.0,25.0,0.0,5.0,0.0,0.0,6.0,120.0,13.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,6.0,0.0,0.0,4.0,8.0,50.0,4.0,3.0,2.0,1.0,6.0,21.0,0.0,178.0,30.0,113.0,61.0,7.0,3.0,178.0,0.0,0.0,0.0,84.0,1.0,3.0,0.0,82.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,18.0,6.0,8.0,42.9
-Emil Bohinen,no NOR,MF,Salernitana,22,1999,11.0,8.0,699.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.13,0.13,0.0,0.13,0.2,0.2,0.02,0.02,7.8,3.0,0.0,75.0,0.39,0.0,0.0,0.04,-0.2,-0.2,231.0,294.0,78.6,3599.0,948.0,136.0,156.0,87.2,63.0,79.0,79.7,23.0,40.0,57.5,11.0,15.0,1.0,0.0,20.0,261.0,33.0,22.0,0.0,2.0,20.0,11.0,0.0,11.0,0.0,0.0,0.0,5.0,25.0,3.22,15.0,7.0,2.0,0.0,1.0,1.0,0.13,0.0,1.0,0.0,0.0,0.0,0.0,15.0,9.0,4.0,9.0,2.0,10.0,20.0,50.0,10.0,17.0,3.0,14.0,12.0,14.0,0.0,402.0,26.0,92.0,226.0,90.0,7.0,402.0,11.0,17.0,64.7,179.0,14.0,10.0,2.0,195.0,11.0,9.0,0.0,16.0,13.0,1.0,0.0,0.0,0.0,61.0,6.0,13.0,31.6
-Giacomo Bonaventura,it ITA,MF,Fiorentina,31,1989,31.0,28.0,2266.0,4.0,4.0,0.0,0.0,8.0,1.0,0.16,0.16,0.32,0.16,0.32,5.5,5.5,0.22,0.22,25.2,14.0,1.0,30.4,0.56,0.09,0.29,0.13,-1.5,-1.5,999.0,1206.0,82.8,16878.0,3407.0,491.0,547.0,89.8,393.0,465.0,84.5,93.0,133.0,69.9,33.0,87.0,22.0,1.0,131.0,1153.0,47.0,21.0,7.0,14.0,36.0,17.0,0.0,12.0,0.0,4.0,6.0,18.0,83.0,3.3,69.0,1.0,3.0,5.0,5.0,13.0,0.52,9.0,0.0,0.0,2.0,2.0,0.0,33.0,17.0,12.0,16.0,5.0,21.0,46.0,45.7,25.0,20.0,2.0,18.0,14.0,9.0,1.0,1419.0,19.0,213.0,736.0,490.0,73.0,1419.0,30.0,47.0,63.8,838.0,76.0,65.0,18.0,1087.0,37.0,19.0,1.0,31.0,49.0,2.0,2.0,0.0,0.0,141.0,16.0,16.0,50.0
-Federico Bonazzoli,it ITA,"FW,MF",Salernitana,24,1997,32.0,19.0,1866.0,10.0,0.0,2.0,2.0,6.0,0.0,0.48,0.0,0.48,0.39,0.39,8.8,7.2,0.42,0.35,20.7,20.0,1.0,36.4,0.96,0.15,0.4,0.13,1.2,0.8,407.0,547.0,74.4,7100.0,1145.0,198.0,245.0,80.8,140.0,172.0,81.4,50.0,74.0,67.6,10.0,34.0,10.0,2.0,46.0,475.0,70.0,6.0,1.0,19.0,23.0,11.0,6.0,4.0,0.0,2.0,2.0,19.0,41.0,1.98,26.0,0.0,1.0,6.0,6.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,24.0,12.0,9.0,8.0,7.0,6.0,25.0,24.0,19.0,17.0,1.0,16.0,6.0,7.0,0.0,781.0,5.0,65.0,403.0,325.0,57.0,779.0,15.0,30.0,50.0,463.0,25.0,23.0,1.0,555.0,60.0,25.0,0.0,31.0,66.0,6.0,0.0,0.0,0.0,76.0,11.0,24.0,31.4
-Kevin Bonifazi,it ITA,DF,Bologna,25,1996,22.0,14.0,1210.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.05,0.05,13.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.7,-0.7,564.0,696.0,81.0,10846.0,4146.0,221.0,242.0,91.3,263.0,299.0,88.0,73.0,137.0,53.3,4.0,40.0,2.0,0.0,51.0,662.0,34.0,27.0,2.0,6.0,3.0,0.0,0.0,0.0,0.0,5.0,0.0,5.0,12.0,0.89,9.0,0.0,1.0,2.0,0.0,2.0,0.15,1.0,0.0,0.0,1.0,0.0,0.0,25.0,16.0,16.0,7.0,2.0,13.0,14.0,92.9,1.0,22.0,7.0,15.0,16.0,35.0,0.0,833.0,95.0,384.0,404.0,61.0,10.0,833.0,17.0,21.0,81.0,458.0,18.0,16.0,0.0,505.0,10.0,4.0,1.0,15.0,10.0,0.0,0.0,1.0,1.0,97.0,34.0,18.0,65.4
-Leonardo Bonucci,it ITA,DF,Juventus,34,1987,24.0,22.0,2005.0,5.0,0.0,3.0,3.0,1.0,0.0,0.22,0.0,0.22,0.09,0.09,5.0,2.7,0.23,0.12,22.3,3.0,0.0,21.4,0.13,0.14,0.67,0.19,0.0,-0.7,1136.0,1317.0,86.3,25899.0,11106.0,256.0,279.0,91.8,653.0,697.0,93.7,218.0,307.0,71.0,11.0,78.0,3.0,0.0,66.0,1199.0,108.0,80.0,2.0,24.0,3.0,0.0,0.0,0.0,0.0,2.0,10.0,5.0,18.0,0.81,17.0,0.0,0.0,1.0,0.0,2.0,0.09,2.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,4.0,10.0,0.0,8.0,13.0,61.5,5.0,22.0,17.0,5.0,26.0,82.0,0.0,1522.0,285.0,850.0,635.0,47.0,24.0,1519.0,4.0,7.0,57.1,820.0,2.0,3.0,0.0,1048.0,11.0,1.0,0.0,17.0,8.0,1.0,0.0,1.0,0.0,95.0,44.0,35.0,55.7
-Mehdi Bourabia,ma MAR,MF,Spezia,29,1991,8.0,2.0,282.0,1.0,0.0,0.0,0.0,0.0,0.0,0.32,0.0,0.32,0.32,0.32,0.0,0.0,0.01,0.01,3.1,1.0,0.0,100.0,0.32,1.0,1.0,0.03,1.0,1.0,91.0,110.0,82.7,1435.0,451.0,44.0,49.0,89.8,42.0,49.0,85.7,4.0,9.0,44.4,2.0,11.0,0.0,0.0,8.0,94.0,15.0,13.0,0.0,0.0,3.0,2.0,2.0,0.0,0.0,0.0,1.0,2.0,5.0,1.61,3.0,0.0,2.0,0.0,0.0,2.0,0.64,0.0,0.0,2.0,0.0,0.0,0.0,5.0,1.0,2.0,3.0,0.0,3.0,11.0,27.3,8.0,7.0,6.0,1.0,3.0,10.0,0.0,163.0,17.0,64.0,82.0,20.0,0.0,163.0,6.0,10.0,60.0,67.0,1.0,3.0,0.0,73.0,6.0,2.0,0.0,6.0,6.0,0.0,0.0,0.0,0.0,20.0,1.0,2.0,33.3
-Edoardo Bove,it ITA,"MF,DF",Roma,19,2002,11.0,0.0,68.0,1.0,0.0,0.0,0.0,0.0,0.0,1.32,0.0,1.32,1.32,1.32,0.0,0.0,0.06,0.06,0.8,1.0,0.0,100.0,1.32,1.0,1.0,0.05,1.0,1.0,29.0,35.0,82.9,544.0,128.0,15.0,17.0,88.2,11.0,14.0,78.6,3.0,4.0,75.0,0.0,4.0,0.0,0.0,3.0,33.0,2.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,44.0,0.0,7.0,26.0,11.0,2.0,44.0,1.0,1.0,100.0,24.0,2.0,1.0,0.0,29.0,4.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,3.0,0.0
-Josip Brekalo,hr CRO,MF,Torino,23,1998,32.0,26.0,2286.0,7.0,2.0,0.0,0.0,1.0,0.0,0.28,0.08,0.35,0.28,0.35,4.9,4.9,0.19,0.19,25.4,17.0,2.0,38.6,0.67,0.16,0.41,0.11,2.1,2.1,835.0,1166.0,71.6,14202.0,3308.0,407.0,488.0,83.4,293.0,391.0,74.9,103.0,180.0,57.2,62.0,65.0,35.0,12.0,105.0,1043.0,112.0,40.0,7.0,8.0,135.0,52.0,19.0,21.0,0.0,13.0,11.0,34.0,122.0,4.8,82.0,23.0,7.0,7.0,3.0,9.0,0.35,6.0,1.0,2.0,0.0,0.0,0.0,9.0,5.0,5.0,1.0,3.0,3.0,21.0,14.3,18.0,16.0,1.0,15.0,4.0,7.0,1.0,1379.0,10.0,107.0,587.0,705.0,57.0,1379.0,40.0,70.0,57.1,878.0,78.0,52.0,20.0,1033.0,51.0,37.0,0.0,20.0,21.0,5.0,0.0,0.0,0.0,128.0,17.0,31.0,35.4
-Gleison Bremer,br BRA,DF,Torino,24,1997,33.0,33.0,2890.0,3.0,1.0,0.0,0.0,7.0,0.0,0.09,0.03,0.12,0.09,0.12,4.8,4.8,0.15,0.15,32.1,10.0,0.0,37.0,0.31,0.11,0.3,0.19,-1.8,-1.8,1166.0,1434.0,81.3,23627.0,7926.0,303.0,369.0,82.1,719.0,813.0,88.4,129.0,207.0,62.3,7.0,46.0,4.0,0.0,64.0,1400.0,30.0,26.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,4.0,10.0,23.0,0.72,14.0,1.0,0.0,6.0,0.0,2.0,0.06,1.0,0.0,0.0,1.0,0.0,0.0,49.0,24.0,27.0,22.0,0.0,18.0,28.0,64.3,10.0,54.0,23.0,31.0,105.0,137.0,0.0,1909.0,198.0,945.0,893.0,96.0,54.0,1909.0,17.0,23.0,73.9,936.0,18.0,14.0,2.0,879.0,29.0,8.0,0.0,66.0,20.0,5.0,0.0,0.0,0.0,284.0,131.0,147.0,47.1
-Marcelo Brozović,hr CRO,MF,Inter,28,1992,35.0,35.0,2937.0,2.0,1.0,0.0,0.0,7.0,0.0,0.06,0.03,0.09,0.06,0.09,1.6,1.6,0.05,0.05,32.6,13.0,0.0,40.6,0.4,0.06,0.15,0.05,0.4,0.4,2401.0,2608.0,92.1,44859.0,13556.0,980.0,1044.0,93.9,1058.0,1122.0,94.3,315.0,361.0,87.3,35.0,264.0,29.0,9.0,263.0,2484.0,121.0,108.0,6.0,36.0,23.0,5.0,3.0,2.0,0.0,7.0,3.0,16.0,98.0,3.0,89.0,2.0,1.0,2.0,1.0,12.0,0.37,12.0,0.0,0.0,0.0,0.0,0.0,77.0,45.0,34.0,35.0,8.0,34.0,68.0,50.0,34.0,28.0,10.0,18.0,37.0,36.0,2.0,2911.0,120.0,793.0,1711.0,431.0,30.0,2911.0,28.0,37.0,75.7,1859.0,51.0,49.0,3.0,2165.0,40.0,20.0,0.0,43.0,32.0,0.0,0.0,0.0,0.0,252.0,13.0,24.0,35.1
-Aleksander Buksa,pl POL,FW,Genoa,18,2003,4.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,15.0,33.3,58.0,26.0,4.0,7.0,57.1,1.0,5.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,15.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,18.0,1.0,2.0,11.0,6.0,1.0,18.0,0.0,0.0,0.0,7.0,1.0,1.0,0.0,12.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,50.0
-Alessandro Buongiorno,it ITA,DF,Torino,22,1999,23.0,12.0,1181.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,0.7,0.7,0.05,0.05,13.1,1.0,0.0,16.7,0.08,0.0,0.0,0.13,-0.7,-0.7,451.0,559.0,80.7,7307.0,2436.0,227.0,256.0,88.7,186.0,225.0,82.7,28.0,57.0,49.1,5.0,28.0,1.0,1.0,30.0,539.0,18.0,15.0,1.0,3.0,6.0,0.0,0.0,0.0,0.0,3.0,2.0,7.0,9.0,0.68,6.0,0.0,0.0,2.0,1.0,3.0,0.23,2.0,0.0,0.0,1.0,0.0,0.0,20.0,9.0,9.0,8.0,3.0,9.0,13.0,69.2,4.0,12.0,6.0,6.0,31.0,44.0,0.0,693.0,58.0,270.0,365.0,66.0,11.0,693.0,2.0,4.0,50.0,362.0,8.0,11.0,0.0,394.0,10.0,5.0,0.0,27.0,16.0,1.0,0.0,1.0,0.0,60.0,53.0,27.0,66.3
-Gianluca Busio,us USA,MF,Venezia,19,2002,29.0,23.0,1950.0,1.0,1.0,0.0,0.0,8.0,0.0,0.05,0.05,0.09,0.05,0.09,1.2,1.2,0.05,0.05,21.7,5.0,1.0,35.7,0.23,0.07,0.2,0.08,-0.2,-0.2,733.0,896.0,81.8,13150.0,3223.0,330.0,371.0,88.9,305.0,341.0,89.4,84.0,128.0,65.6,16.0,69.0,10.0,2.0,79.0,841.0,50.0,25.0,2.0,11.0,38.0,19.0,7.0,11.0,0.0,4.0,5.0,21.0,40.0,1.85,26.0,9.0,0.0,1.0,3.0,3.0,0.14,2.0,1.0,0.0,0.0,0.0,0.0,53.0,28.0,27.0,20.0,6.0,28.0,63.0,44.4,35.0,45.0,13.0,32.0,21.0,30.0,1.0,1145.0,63.0,337.0,621.0,194.0,18.0,1145.0,11.0,21.0,52.4,644.0,26.0,23.0,3.0,717.0,33.0,15.0,0.0,31.0,17.0,0.0,0.0,0.0,0.0,99.0,31.0,33.0,48.4
-Jovane Cabral,cv CPV,FW,Lazio,23,1998,3.0,2.0,190.0,1.0,0.0,0.0,0.0,0.0,0.0,0.47,0.0,0.47,0.47,0.47,1.2,1.2,0.57,0.57,2.1,1.0,0.0,16.7,0.47,0.17,1.0,0.2,-0.2,-0.2,31.0,37.0,83.8,438.0,99.0,16.0,16.0,100.0,8.0,10.0,80.0,3.0,4.0,75.0,1.0,3.0,0.0,0.0,5.0,36.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.89,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,63.0,1.0,7.0,30.0,26.0,10.0,63.0,2.0,4.0,50.0,50.0,0.0,0.0,0.0,51.0,9.0,5.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,6.0,1.0,4.0,20.0
-Liberato Cacace,nz NZL,DF,Empoli,20,2000,10.0,5.0,466.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,5.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,193.0,234.0,82.5,3202.0,1087.0,91.0,100.0,91.0,81.0,93.0,87.1,15.0,27.0,55.6,1.0,14.0,0.0,0.0,12.0,188.0,45.0,5.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,40.0,1.0,4.0,5.0,0.96,3.0,1.0,0.0,0.0,1.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,0.0,15.0,6.0,8.0,4.0,3.0,8.0,8.0,100.0,0.0,7.0,2.0,5.0,8.0,9.0,0.0,297.0,18.0,90.0,147.0,67.0,1.0,297.0,6.0,17.0,35.3,169.0,13.0,5.0,0.0,165.0,6.0,3.0,0.0,9.0,6.0,0.0,0.0,0.0,0.0,29.0,2.0,6.0,25.0
-Martín Cáceres,uy URU,DF,Cagliari,34,1987,14.0,9.0,832.0,1.0,1.0,0.0,0.0,3.0,1.0,0.11,0.11,0.22,0.11,0.22,0.3,0.3,0.04,0.04,9.2,1.0,0.0,14.3,0.11,0.14,1.0,0.05,0.7,0.7,311.0,452.0,68.8,6204.0,2385.0,121.0,141.0,85.8,136.0,191.0,71.2,47.0,96.0,49.0,5.0,29.0,3.0,0.0,34.0,375.0,74.0,11.0,0.0,11.0,12.0,0.0,0.0,0.0,0.0,63.0,3.0,6.0,14.0,1.51,12.0,0.0,0.0,2.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,13.0,7.0,5.0,5.0,3.0,4.0,12.0,33.3,8.0,12.0,3.0,9.0,14.0,21.0,0.0,541.0,34.0,180.0,285.0,82.0,8.0,541.0,1.0,1.0,100.0,270.0,8.0,6.0,0.0,284.0,7.0,2.0,0.0,7.0,9.0,0.0,0.0,0.0,0.0,55.0,5.0,5.0,50.0
-Felipe Caicedo,ec ECU,FW,Genoa,32,1988,9.0,1.0,284.0,1.0,2.0,0.0,0.0,1.0,0.0,0.32,0.63,0.95,0.32,0.95,1.4,1.4,0.45,0.45,3.2,3.0,0.0,25.0,0.95,0.08,0.33,0.12,-0.4,-0.4,51.0,75.0,68.0,576.0,94.0,36.0,47.0,76.6,10.0,17.0,58.8,0.0,1.0,0.0,6.0,1.0,3.0,0.0,4.0,71.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,2.85,6.0,0.0,0.0,1.0,2.0,3.0,0.95,2.0,0.0,0.0,0.0,1.0,0.0,3.0,3.0,0.0,2.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,4.0,0.0,112.0,4.0,9.0,47.0,56.0,19.0,112.0,1.0,5.0,20.0,49.0,4.0,0.0,4.0,84.0,8.0,0.0,0.0,6.0,2.0,4.0,1.0,0.0,0.0,10.0,15.0,17.0,46.9
-Felipe Caicedo,ec ECU,"FW,DF",Inter,32,1988,3.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,37.5,52.0,23.0,2.0,3.0,66.7,1.0,4.0,25.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.91,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,12.0,0.0,0.0,4.0,8.0,1.0,12.0,0.0,0.0,0.0,10.0,1.0,1.0,0.0,11.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Davide Calabria,it ITA,DF,Milan,24,1996,26.0,24.0,2119.0,2.0,2.0,0.0,0.0,2.0,0.0,0.08,0.08,0.17,0.08,0.17,3.9,3.9,0.17,0.17,23.5,8.0,0.0,22.2,0.34,0.06,0.25,0.12,-1.9,-1.9,958.0,1271.0,75.4,16848.0,6799.0,435.0,495.0,87.9,401.0,512.0,78.3,104.0,198.0,52.5,19.0,96.0,24.0,13.0,113.0,1059.0,207.0,20.0,1.0,4.0,53.0,10.0,0.0,9.0,0.0,177.0,5.0,25.0,47.0,2.0,32.0,4.0,3.0,6.0,2.0,6.0,0.25,3.0,0.0,0.0,3.0,0.0,0.0,62.0,37.0,31.0,23.0,8.0,37.0,72.0,51.4,35.0,25.0,5.0,20.0,23.0,40.0,1.0,1521.0,43.0,422.0,756.0,361.0,26.0,1521.0,10.0,20.0,50.0,693.0,36.0,24.0,2.0,862.0,16.0,6.0,0.0,15.0,28.0,1.0,0.0,0.0,0.0,140.0,10.0,27.0,27.0
-Riccardo Calafiori,it ITA,DF,Genoa,19,2002,3.0,1.0,82.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,12.0,21.0,57.1,204.0,119.0,5.0,9.0,55.6,7.0,9.0,77.8,0.0,3.0,0.0,0.0,1.0,0.0,0.0,1.0,16.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,1.0,1.1,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,2.0,50.0,1.0,2.0,1.0,1.0,2.0,4.0,0.0,37.0,5.0,21.0,7.0,9.0,1.0,37.0,0.0,1.0,0.0,12.0,2.0,2.0,0.0,11.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
-Riccardo Calafiori,it ITA,DF,Roma,19,2002,6.0,2.0,174.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.52,0.52,0.0,0.52,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,64.0,82.0,78.0,989.0,270.0,36.0,40.0,90.0,20.0,24.0,83.3,6.0,11.0,54.5,1.0,1.0,2.0,1.0,3.0,68.0,14.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,14.0,0.0,4.0,4.0,2.09,3.0,0.0,1.0,0.0,0.0,2.0,1.05,1.0,0.0,1.0,0.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,1.0,5.0,20.0,4.0,3.0,0.0,3.0,3.0,1.0,0.0,98.0,2.0,28.0,40.0,32.0,1.0,98.0,2.0,3.0,66.7,53.0,3.0,4.0,0.0,56.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,2.0,33.3
-Mattia Caldara,it ITA,DF,Venezia,27,1994,31.0,30.0,2704.0,1.0,0.0,0.0,0.0,9.0,0.0,0.03,0.0,0.03,0.03,0.03,1.9,1.9,0.06,0.06,30.0,7.0,0.0,43.8,0.23,0.06,0.14,0.12,-0.9,-0.9,951.0,1167.0,81.5,18979.0,7330.0,350.0,390.0,89.7,441.0,512.0,86.1,148.0,237.0,62.4,3.0,52.0,1.0,0.0,63.0,1110.0,53.0,42.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,8.0,4.0,6.0,20.0,0.67,9.0,1.0,0.0,5.0,4.0,2.0,0.07,0.0,0.0,0.0,1.0,1.0,0.0,48.0,28.0,30.0,15.0,3.0,20.0,34.0,58.8,14.0,49.0,37.0,12.0,62.0,147.0,1.0,1529.0,306.0,935.0,538.0,72.0,23.0,1529.0,3.0,7.0,42.9,770.0,15.0,7.0,0.0,808.0,12.0,4.0,0.0,28.0,22.0,3.0,1.0,1.0,0.0,170.0,49.0,51.0,49.0
-Hakan Çalhanoğlu,tr TUR,MF,Inter,27,1994,34.0,33.0,2480.0,7.0,12.0,3.0,3.0,11.0,0.0,0.25,0.44,0.69,0.15,0.58,6.5,4.0,0.24,0.14,27.6,15.0,9.0,24.2,0.54,0.06,0.27,0.06,0.5,0.0,1480.0,1823.0,81.2,27656.0,7793.0,649.0,713.0,91.0,577.0,668.0,86.4,218.0,356.0,61.2,88.0,183.0,53.0,16.0,184.0,1608.0,209.0,49.0,7.0,30.0,196.0,147.0,46.0,86.0,2.0,7.0,6.0,23.0,173.0,6.27,100.0,54.0,2.0,11.0,4.0,21.0,0.76,12.0,7.0,0.0,1.0,1.0,0.0,41.0,23.0,16.0,19.0,6.0,11.0,40.0,27.5,29.0,29.0,5.0,24.0,25.0,12.0,0.0,2089.0,27.0,309.0,1045.0,750.0,43.0,2085.0,13.0,28.0,46.4,1220.0,75.0,50.0,9.0,1464.0,43.0,19.0,0.0,36.0,26.0,0.0,1.0,0.0,0.0,187.0,10.0,21.0,32.3
-José Callejón,es ESP,FW,Fiorentina,34,1987,30.0,16.0,1298.0,1.0,2.0,0.0,0.0,0.0,0.0,0.07,0.14,0.21,0.07,0.21,1.9,1.9,0.13,0.13,14.4,5.0,1.0,29.4,0.35,0.06,0.2,0.11,-0.9,-0.9,484.0,618.0,78.3,7873.0,1923.0,257.0,293.0,87.7,173.0,215.0,80.5,42.0,77.0,54.5,21.0,34.0,24.0,6.0,71.0,577.0,38.0,10.0,2.0,5.0,62.0,24.0,0.0,19.0,0.0,4.0,3.0,6.0,47.0,3.25,32.0,10.0,1.0,3.0,1.0,4.0,0.28,4.0,0.0,0.0,0.0,0.0,0.0,15.0,6.0,6.0,6.0,3.0,13.0,31.0,41.9,18.0,6.0,0.0,6.0,3.0,1.0,1.0,697.0,4.0,76.0,316.0,307.0,41.0,697.0,7.0,13.0,53.8,411.0,31.0,17.0,4.0,538.0,18.0,13.0,0.0,3.0,17.0,3.0,0.0,1.0,0.0,72.0,8.0,18.0,30.8
-Andrea Cambiaso,it ITA,DF,Genoa,21,2000,26.0,21.0,1790.0,1.0,4.0,0.0,0.0,5.0,1.0,0.05,0.2,0.25,0.05,0.25,0.7,0.7,0.03,0.03,19.9,5.0,0.0,38.5,0.25,0.08,0.2,0.05,0.3,0.3,690.0,890.0,77.5,10185.0,3061.0,391.0,443.0,88.3,249.0,312.0,79.8,29.0,62.0,46.8,16.0,36.0,15.0,5.0,53.0,728.0,160.0,6.0,1.0,2.0,66.0,1.0,0.0,1.0,0.0,153.0,2.0,31.0,39.0,1.96,30.0,3.0,2.0,1.0,3.0,5.0,0.25,5.0,0.0,0.0,0.0,0.0,0.0,46.0,20.0,28.0,14.0,4.0,18.0,32.0,56.3,14.0,33.0,8.0,25.0,23.0,37.0,1.0,1120.0,69.0,348.0,481.0,310.0,33.0,1120.0,27.0,54.0,50.0,606.0,71.0,41.0,17.0,603.0,35.0,22.0,1.0,22.0,16.0,1.0,0.0,0.0,0.0,144.0,7.0,17.0,29.2
-Matteo Cancellieri,it ITA,"MF,DF",Hellas Verona,19,2002,12.0,1.0,227.0,1.0,0.0,0.0,0.0,1.0,0.0,0.4,0.0,0.4,0.4,0.4,0.2,0.2,0.08,0.08,2.5,1.0,0.0,25.0,0.4,0.25,1.0,0.05,0.8,0.8,46.0,70.0,65.7,645.0,187.0,30.0,37.0,81.1,8.0,14.0,57.1,6.0,10.0,60.0,4.0,2.0,2.0,0.0,4.0,62.0,8.0,1.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,7.0,0.0,5.0,7.0,2.79,5.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,2.0,2.0,0.0,0.0,5.0,0.0,5.0,2.0,0.0,2.0,1.0,0.0,0.0,98.0,0.0,6.0,46.0,50.0,10.0,98.0,6.0,12.0,50.0,56.0,7.0,4.0,3.0,56.0,8.0,2.0,0.0,9.0,4.0,1.0,0.0,0.0,0.0,13.0,4.0,13.0,23.5
-Antonio Candreva,it ITA,"MF,FW",Sampdoria,34,1987,36.0,36.0,3119.0,7.0,10.0,1.0,2.0,6.0,1.0,0.2,0.29,0.49,0.17,0.46,7.0,5.4,0.2,0.16,34.7,19.0,4.0,26.4,0.55,0.08,0.32,0.08,0.0,0.6,1296.0,1948.0,66.5,23792.0,8485.0,617.0,730.0,84.5,397.0,600.0,66.2,221.0,444.0,49.8,78.0,138.0,76.0,31.0,201.0,1679.0,254.0,78.0,11.0,51.0,343.0,114.0,22.0,67.0,0.0,62.0,15.0,60.0,139.0,4.01,84.0,36.0,7.0,7.0,5.0,16.0,0.46,10.0,4.0,0.0,1.0,1.0,0.0,27.0,16.0,9.0,11.0,7.0,19.0,55.0,34.5,36.0,23.0,2.0,21.0,33.0,19.0,0.0,2263.0,43.0,328.0,1007.0,955.0,80.0,2261.0,21.0,51.0,41.2,1424.0,105.0,97.0,23.0,1627.0,58.0,35.0,0.0,19.0,48.0,14.0,0.0,0.0,0.0,193.0,2.0,7.0,22.2
-Leonardo Capezzi,it ITA,MF,Salernitana,26,1995,5.0,2.0,175.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,49.0,81.6,548.0,115.0,25.0,28.0,89.3,14.0,16.0,87.5,1.0,3.0,33.3,0.0,3.0,1.0,0.0,3.0,46.0,3.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,3.0,0.0,1.0,4.0,25.0,3.0,8.0,4.0,4.0,0.0,2.0,0.0,76.0,7.0,14.0,40.0,22.0,1.0,76.0,2.0,2.0,100.0,35.0,1.0,1.0,0.0,33.0,7.0,5.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,4.0,20.0
-Gianluca Caprari,it ITA,"MF,FW",Hellas Verona,28,1993,35.0,33.0,2739.0,12.0,7.0,2.0,2.0,4.0,0.0,0.39,0.23,0.62,0.33,0.56,8.1,6.5,0.27,0.21,30.4,26.0,4.0,40.0,0.85,0.15,0.38,0.1,3.9,3.5,960.0,1283.0,74.8,13655.0,3571.0,556.0,640.0,86.9,272.0,368.0,73.9,65.0,131.0,49.6,63.0,57.0,61.0,5.0,164.0,1155.0,116.0,19.0,12.0,7.0,108.0,72.0,32.0,17.0,0.0,12.0,12.0,35.0,142.0,4.67,92.0,20.0,9.0,9.0,9.0,20.0,0.66,16.0,1.0,2.0,1.0,0.0,0.0,43.0,25.0,10.0,22.0,11.0,17.0,51.0,33.3,34.0,32.0,0.0,32.0,4.0,7.0,0.0,1667.0,10.0,133.0,714.0,850.0,139.0,1665.0,65.0,119.0,54.6,1072.0,117.0,76.0,51.0,1258.0,93.0,54.0,0.0,42.0,74.0,14.0,1.0,0.0,0.0,164.0,8.0,27.0,22.9
-Francesco Caputo,it ITA,FW,Sampdoria,33,1987,36.0,31.0,2790.0,11.0,3.0,0.0,1.0,0.0,0.0,0.35,0.1,0.45,0.35,0.45,10.4,9.4,0.33,0.3,31.0,28.0,0.0,52.8,0.9,0.21,0.39,0.18,0.6,1.6,442.0,587.0,75.3,5859.0,766.0,264.0,338.0,78.1,131.0,162.0,80.9,16.0,27.0,59.3,39.0,20.0,15.0,2.0,32.0,536.0,51.0,1.0,0.0,7.0,12.0,1.0,1.0,0.0,0.0,0.0,0.0,13.0,74.0,2.39,60.0,0.0,2.0,3.0,8.0,8.0,0.26,4.0,0.0,0.0,1.0,3.0,0.0,5.0,2.0,1.0,3.0,1.0,1.0,6.0,16.7,5.0,5.0,0.0,5.0,2.0,10.0,0.0,790.0,11.0,53.0,363.0,378.0,140.0,789.0,13.0,27.0,48.1,454.0,30.0,16.0,23.0,623.0,57.0,16.0,0.0,23.0,38.0,36.0,3.0,0.0,0.0,61.0,24.0,33.0,42.1
-Francesco Caputo,it ITA,FW,Sassuolo,33,1987,2.0,2.0,156.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.58,0.58,0.0,0.58,0.8,0.8,0.46,0.46,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.2,-0.8,-0.8,28.0,36.0,77.8,328.0,29.0,21.0,24.0,87.5,6.0,8.0,75.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0,2.0,33.0,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.46,5.0,0.0,0.0,1.0,0.0,2.0,1.15,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,46.0,0.0,2.0,22.0,22.0,10.0,46.0,0.0,1.0,0.0,30.0,1.0,0.0,0.0,38.0,2.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
-Andrea Carboni,it ITA,DF,Cagliari,20,2001,30.0,25.0,2215.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.04,0.04,24.6,1.0,0.0,10.0,0.04,0.0,0.0,0.09,-0.9,-0.9,809.0,1078.0,75.0,14516.0,5604.0,342.0,388.0,88.1,379.0,464.0,81.7,78.0,179.0,43.6,4.0,66.0,15.0,4.0,97.0,1020.0,52.0,39.0,1.0,7.0,25.0,0.0,0.0,0.0,0.0,12.0,6.0,19.0,20.0,0.81,19.0,0.0,0.0,1.0,0.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,0.0,53.0,24.0,33.0,16.0,4.0,19.0,42.0,45.2,23.0,42.0,15.0,27.0,27.0,87.0,0.0,1349.0,143.0,588.0,636.0,137.0,14.0,1349.0,4.0,10.0,40.0,678.0,29.0,27.0,0.0,765.0,14.0,5.0,0.0,18.0,9.0,0.0,0.0,0.0,1.0,110.0,41.0,38.0,51.9
-Nicolò Casale,it ITA,DF,Hellas Verona,23,1998,36.0,30.0,2586.0,0.0,1.0,0.0,0.0,10.0,0.0,0.0,0.03,0.03,0.0,0.03,0.8,0.8,0.03,0.03,28.7,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.8,-0.8,957.0,1195.0,80.1,16387.0,5759.0,429.0,498.0,86.1,421.0,502.0,83.9,78.0,127.0,61.4,11.0,63.0,12.0,4.0,91.0,1111.0,80.0,51.0,1.0,2.0,15.0,0.0,0.0,0.0,0.0,29.0,4.0,15.0,34.0,1.18,33.0,1.0,0.0,0.0,0.0,5.0,0.17,5.0,0.0,0.0,0.0,0.0,0.0,46.0,30.0,25.0,19.0,2.0,21.0,37.0,56.8,16.0,31.0,12.0,19.0,49.0,95.0,0.0,1494.0,138.0,643.0,703.0,167.0,21.0,1494.0,9.0,19.0,47.4,690.0,40.0,17.0,1.0,776.0,21.0,8.0,0.0,43.0,24.0,0.0,0.0,0.0,0.0,197.0,69.0,61.0,53.1
-Francesco Cassata,it ITA,MF,Genoa,24,1997,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,51.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Samu Castillejo,es ESP,"FW,MF",Milan,26,1995,5.0,1.0,125.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,54.0,65.0,83.1,847.0,210.0,38.0,39.0,97.4,9.0,11.0,81.8,6.0,12.0,50.0,2.0,5.0,4.0,3.0,5.0,61.0,4.0,0.0,0.0,1.0,8.0,2.0,2.0,0.0,0.0,2.0,0.0,2.0,10.0,7.09,6.0,0.0,0.0,2.0,2.0,3.0,2.13,1.0,0.0,0.0,1.0,1.0,0.0,4.0,2.0,0.0,2.0,2.0,1.0,8.0,12.5,7.0,4.0,1.0,3.0,2.0,1.0,0.0,88.0,2.0,5.0,31.0,53.0,8.0,88.0,0.0,2.0,0.0,52.0,4.0,3.0,1.0,62.0,5.0,3.0,0.0,2.0,2.0,0.0,1.0,0.0,0.0,5.0,2.0,2.0,50.0
-Gaetano Castrovilli,it ITA,MF,Fiorentina,24,1997,23.0,16.0,1391.0,1.0,1.0,0.0,0.0,4.0,0.0,0.06,0.06,0.13,0.06,0.13,1.2,1.2,0.08,0.08,15.5,2.0,1.0,13.3,0.13,0.07,0.5,0.08,-0.2,-0.2,404.0,539.0,75.0,6627.0,1868.0,215.0,243.0,88.5,145.0,189.0,76.7,30.0,61.0,49.2,14.0,37.0,24.0,0.0,78.0,499.0,37.0,16.0,4.0,11.0,40.0,13.0,1.0,10.0,0.0,6.0,3.0,20.0,49.0,3.17,36.0,6.0,2.0,1.0,4.0,5.0,0.32,5.0,0.0,0.0,0.0,0.0,0.0,25.0,17.0,15.0,6.0,4.0,12.0,23.0,52.2,11.0,18.0,4.0,14.0,11.0,6.0,0.0,705.0,13.0,106.0,329.0,283.0,44.0,705.0,25.0,29.0,86.2,425.0,40.0,30.0,9.0,483.0,43.0,19.0,0.0,21.0,36.0,1.0,0.0,0.0,0.0,85.0,8.0,12.0,40.0
-Danilo Cataldi,it ITA,MF,Lazio,26,1994,32.0,19.0,1707.0,1.0,2.0,0.0,0.0,8.0,0.0,0.05,0.11,0.16,0.05,0.16,0.5,0.5,0.03,0.03,19.0,4.0,3.0,33.3,0.21,0.08,0.25,0.04,0.5,0.5,1201.0,1401.0,85.7,19380.0,6444.0,632.0,674.0,93.8,411.0,472.0,87.1,111.0,184.0,60.3,25.0,126.0,17.0,2.0,97.0,1294.0,103.0,51.0,6.0,10.0,66.0,51.0,19.0,27.0,0.0,1.0,4.0,11.0,39.0,2.06,25.0,14.0,0.0,0.0,0.0,3.0,0.16,2.0,1.0,0.0,0.0,0.0,0.0,36.0,17.0,15.0,17.0,4.0,12.0,38.0,31.6,26.0,24.0,12.0,12.0,17.0,19.0,1.0,1540.0,54.0,338.0,1004.0,206.0,2.0,1540.0,10.0,15.0,66.7,844.0,9.0,12.0,0.0,1089.0,11.0,6.0,0.0,18.0,19.0,0.0,0.0,1.0,0.0,165.0,6.0,7.0,46.2
-Pietro Ceccaroni,it ITA,DF,Venezia,25,1995,35.0,35.0,3122.0,2.0,1.0,0.0,0.0,7.0,1.0,0.06,0.03,0.09,0.06,0.09,2.7,2.7,0.08,0.08,34.7,6.0,0.0,31.6,0.17,0.11,0.33,0.14,-0.7,-0.7,1414.0,1720.0,82.2,25815.0,11157.0,563.0,622.0,90.5,712.0,802.0,88.8,125.0,241.0,51.9,6.0,82.0,4.0,2.0,87.0,1614.0,105.0,59.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,44.0,1.0,29.0,17.0,0.49,12.0,0.0,0.0,5.0,0.0,1.0,0.03,0.0,0.0,0.0,1.0,0.0,0.0,55.0,31.0,33.0,18.0,4.0,25.0,36.0,69.4,11.0,45.0,32.0,13.0,30.0,143.0,0.0,2068.0,389.0,1311.0,650.0,117.0,26.0,2068.0,5.0,12.0,41.7,1157.0,37.0,17.0,1.0,1300.0,15.0,4.0,0.0,26.0,26.0,0.0,0.0,3.0,0.0,194.0,38.0,31.0,55.1
-Federico Ceccherini,it ITA,DF,Hellas Verona,29,1992,34.0,29.0,2358.0,1.0,0.0,0.0,0.0,12.0,1.0,0.04,0.0,0.04,0.04,0.04,2.0,2.0,0.08,0.08,26.2,2.0,0.0,18.2,0.08,0.09,0.5,0.18,-1.0,-1.0,954.0,1216.0,78.5,16323.0,6138.0,444.0,525.0,84.6,384.0,445.0,86.3,95.0,175.0,54.3,7.0,73.0,5.0,0.0,95.0,1157.0,55.0,37.0,2.0,8.0,5.0,0.0,0.0,0.0,0.0,18.0,4.0,13.0,24.0,0.92,22.0,0.0,0.0,1.0,1.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,0.0,32.0,16.0,19.0,10.0,3.0,19.0,33.0,57.6,14.0,13.0,8.0,5.0,50.0,76.0,1.0,1471.0,108.0,604.0,728.0,155.0,33.0,1471.0,14.0,21.0,66.7,813.0,20.0,21.0,3.0,864.0,30.0,12.0,1.0,57.0,25.0,3.0,0.0,0.0,0.0,175.0,62.0,49.0,55.9
-Emil Ceide,no NOR,"FW,MF",Sassuolo,19,2001,6.0,0.0,53.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,26.0,42.3,112.0,23.0,6.0,10.0,60.0,2.0,7.0,28.6,0.0,0.0,0.0,0.0,1.0,2.0,0.0,2.0,23.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,6.0,1.0,1.7,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,36.0,0.0,4.0,14.0,18.0,4.0,36.0,1.0,4.0,25.0,23.0,5.0,2.0,2.0,26.0,4.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
-Luca Ceppitelli,it ITA,DF,Cagliari,31,1989,24.0,16.0,1445.0,1.0,1.0,0.0,0.0,3.0,0.0,0.06,0.06,0.12,0.06,0.12,0.5,0.5,0.03,0.03,16.1,1.0,0.0,16.7,0.06,0.17,1.0,0.09,0.5,0.5,671.0,802.0,83.7,12644.0,4481.0,259.0,288.0,89.9,322.0,359.0,89.7,76.0,124.0,61.3,2.0,36.0,4.0,2.0,35.0,763.0,34.0,28.0,0.0,8.0,7.0,0.0,0.0,0.0,0.0,6.0,5.0,9.0,10.0,0.62,8.0,0.0,0.0,2.0,0.0,1.0,0.06,0.0,0.0,0.0,1.0,0.0,0.0,23.0,12.0,13.0,10.0,0.0,16.0,27.0,59.3,11.0,21.0,14.0,7.0,25.0,54.0,0.0,954.0,120.0,451.0,460.0,46.0,14.0,954.0,2.0,2.0,100.0,482.0,3.0,6.0,0.0,570.0,8.0,3.0,0.0,18.0,12.0,1.0,0.0,0.0,0.0,87.0,40.0,22.0,64.5
-Damir Ceter,co COL,FW,Cagliari,23,1997,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,49.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Julian Chabot,de GER,DF,Sampdoria,23,1998,11.0,4.0,490.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,5.4,1.0,0.0,33.3,0.18,0.0,0.0,0.02,-0.1,-0.1,206.0,258.0,79.8,4377.0,1629.0,61.0,71.0,85.9,111.0,121.0,91.7,33.0,60.0,55.0,0.0,13.0,0.0,0.0,21.0,230.0,25.0,18.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,7.0,3.0,0.0,1.0,0.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,10.0,8.0,4.0,0.0,8.0,10.0,80.0,2.0,7.0,4.0,3.0,9.0,28.0,1.0,331.0,41.0,168.0,158.0,7.0,4.0,331.0,0.0,2.0,0.0,149.0,0.0,0.0,0.0,172.0,4.0,2.0,0.0,10.0,11.0,0.0,0.0,0.0,0.0,32.0,20.0,11.0,64.5
-Giorgio Chiellini,it ITA,DF,Juventus,36,1984,21.0,16.0,1354.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.05,0.05,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,-0.8,-0.8,783.0,949.0,82.5,16149.0,5681.0,229.0,252.0,90.9,445.0,504.0,88.3,105.0,172.0,61.0,7.0,69.0,3.0,0.0,74.0,892.0,51.0,29.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,11.0,6.0,5.0,21.0,1.4,18.0,0.0,0.0,2.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,22.0,13.0,17.0,4.0,1.0,7.0,13.0,53.8,6.0,24.0,18.0,6.0,22.0,59.0,0.0,1108.0,140.0,486.0,563.0,63.0,7.0,1108.0,2.0,4.0,50.0,567.0,21.0,15.0,0.0,730.0,7.0,1.0,0.0,15.0,22.0,2.0,0.0,0.0,0.0,78.0,37.0,21.0,63.8
-Federico Chiesa,it ITA,"MF,FW",Juventus,23,1997,14.0,11.0,863.0,2.0,2.0,0.0,0.0,0.0,0.0,0.21,0.21,0.42,0.21,0.42,2.8,2.8,0.29,0.29,9.6,9.0,0.0,32.1,0.94,0.07,0.22,0.1,-0.8,-0.8,218.0,288.0,75.7,3844.0,1144.0,106.0,126.0,84.1,76.0,95.0,80.0,27.0,43.0,62.8,17.0,18.0,13.0,5.0,32.0,250.0,35.0,1.0,0.0,2.0,32.0,18.0,10.0,4.0,0.0,14.0,3.0,7.0,41.0,4.28,21.0,3.0,8.0,6.0,3.0,7.0,0.73,2.0,0.0,3.0,1.0,1.0,0.0,26.0,19.0,9.0,9.0,8.0,12.0,26.0,46.2,14.0,7.0,0.0,7.0,4.0,3.0,0.0,427.0,7.0,58.0,167.0,208.0,47.0,427.0,21.0,41.0,51.2,258.0,36.0,20.0,14.0,266.0,20.0,15.0,0.0,9.0,16.0,1.0,1.0,0.0,0.0,47.0,0.0,8.0,0.0
-Vlad Chiricheș,ro ROU,DF,Sassuolo,31,1989,29.0,27.0,2300.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.03,0.03,25.6,2.0,0.0,22.2,0.08,0.0,0.0,0.07,-0.7,-0.7,1224.0,1342.0,91.2,22910.0,7639.0,468.0,500.0,93.6,584.0,628.0,93.0,147.0,171.0,86.0,2.0,32.0,1.0,0.0,52.0,1275.0,65.0,57.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,8.0,8.0,0.31,7.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,15.0,19.0,9.0,0.0,10.0,21.0,47.6,11.0,34.0,21.0,13.0,41.0,71.0,4.0,1563.0,229.0,808.0,741.0,26.0,9.0,1563.0,4.0,6.0,66.7,941.0,4.0,6.0,1.0,1019.0,13.0,9.0,0.0,28.0,13.0,1.0,0.0,3.0,0.0,165.0,34.0,53.0,39.1
-Riccardo Ciervo,it ITA,"MF,DF",Sampdoria,19,2002,10.0,1.0,227.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.0,0.4,0.1,0.1,0.06,0.06,2.5,1.0,0.0,33.3,0.4,0.0,0.0,0.05,-0.1,-0.1,45.0,66.0,68.2,824.0,174.0,20.0,26.0,76.9,17.0,26.0,65.4,5.0,6.0,83.3,3.0,5.0,1.0,1.0,6.0,62.0,3.0,1.0,0.0,0.0,9.0,1.0,0.0,1.0,0.0,1.0,1.0,3.0,7.0,2.78,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,4.0,3.0,1.0,2.0,6.0,33.3,4.0,1.0,0.0,1.0,2.0,2.0,0.0,94.0,2.0,18.0,42.0,36.0,8.0,94.0,2.0,4.0,50.0,52.0,10.0,3.0,2.0,55.0,4.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,17.0,0.0,3.0,0.0
-Moustapha Cissé,gn GUI,FW,Atalanta,17,2003,3.0,0.0,38.0,1.0,0.0,0.0,0.0,0.0,0.0,2.37,0.0,2.37,2.37,2.37,0.6,0.6,1.36,1.36,0.4,1.0,0.0,33.3,2.37,0.33,1.0,0.19,0.4,0.4,5.0,9.0,55.6,48.0,13.0,5.0,8.0,62.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.37,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,1.0,8.0,11.0,3.0,20.0,1.0,1.0,100.0,9.0,2.0,1.0,0.0,17.0,5.0,1.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,1.0,4.0,2.0,66.7
-Giorgio Cittadini,it ITA,DF,Atalanta,19,2002,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,17.0,15.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,3.0,1.0,1.0,1.0,1.0,0.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Ebrima Colley,gm GAM,"FW,MF",Spezia,21,2000,11.0,3.0,394.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.24,0.24,4.4,5.0,0.0,41.7,1.14,0.0,0.0,0.09,-1.0,-1.0,80.0,127.0,63.0,1301.0,416.0,38.0,49.0,77.6,31.0,49.0,63.3,8.0,16.0,50.0,5.0,10.0,7.0,2.0,13.0,115.0,10.0,3.0,2.0,0.0,18.0,5.0,2.0,2.0,0.0,2.0,2.0,6.0,12.0,2.74,6.0,1.0,2.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,3.0,2.0,1.0,1.0,7.0,14.3,6.0,8.0,0.0,8.0,3.0,2.0,0.0,195.0,5.0,34.0,88.0,78.0,10.0,195.0,12.0,18.0,66.7,126.0,17.0,12.0,4.0,139.0,14.0,9.0,0.0,10.0,12.0,2.0,0.0,0.0,0.0,15.0,2.0,5.0,28.6
-Omar Colley,gm GAM,DF,Sampdoria,28,1992,32.0,31.0,2745.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,1.3,1.3,0.04,0.04,30.5,1.0,0.0,9.1,0.03,0.0,0.0,0.12,-1.3,-1.3,1211.0,1448.0,83.6,23118.0,7682.0,393.0,432.0,91.0,684.0,761.0,89.9,110.0,207.0,53.1,0.0,63.0,2.0,0.0,83.0,1351.0,95.0,59.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,5.0,10.0,0.33,7.0,0.0,0.0,1.0,1.0,1.0,0.03,0.0,0.0,0.0,1.0,0.0,0.0,47.0,36.0,32.0,14.0,1.0,22.0,32.0,68.8,10.0,31.0,19.0,12.0,80.0,135.0,2.0,1791.0,300.0,1046.0,711.0,46.0,19.0,1791.0,3.0,3.0,100.0,986.0,12.0,11.0,0.0,1001.0,11.0,1.0,0.0,25.0,31.0,1.0,0.0,1.0,0.0,182.0,56.0,38.0,59.6
-Andrea Consigli,it ITA,GK,Sassuolo,34,1987,37.0,37.0,3322.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1161.0,1469.0,79.0,29559.0,19668.0,291.0,294.0,99.0,475.0,484.0,98.1,381.0,673.0,56.6,1.0,7.0,1.0,0.0,0.0,1084.0,381.0,135.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,8.0,0.22,7.0,1.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,23.0,3.0,1572.0,1199.0,1557.0,15.0,0.0,0.0,1572.0,0.0,0.0,0.0,915.0,0.0,0.0,0.0,783.0,0.0,0.0,0.0,2.0,7.0,0.0,0.0,2.0,0.0,41.0,7.0,1.0,87.5
-Andrea Conti,it ITA,"DF,MF",Sampdoria,27,1994,7.0,2.0,234.0,1.0,0.0,0.0,0.0,1.0,0.0,0.38,0.0,0.38,0.38,0.38,0.4,0.4,0.17,0.17,2.6,1.0,0.0,25.0,0.38,0.25,1.0,0.11,0.6,0.6,62.0,82.0,75.6,849.0,334.0,40.0,46.0,87.0,14.0,22.0,63.6,5.0,7.0,71.4,0.0,4.0,0.0,0.0,2.0,68.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,3.0,2.0,0.77,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,3.0,6.0,50.0,3.0,4.0,0.0,4.0,7.0,4.0,0.0,114.0,11.0,41.0,42.0,31.0,8.0,114.0,2.0,3.0,66.7,54.0,3.0,3.0,1.0,64.0,4.0,0.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0
-Andrea Conti,it ITA,DF,Milan,27,1994,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,66.7,62.0,2.0,2.0,2.0,100.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,2.0,1.0,0.0,6.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Diego Coppola,it ITA,DF,Hellas Verona,17,2003,4.0,3.0,249.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,77.0,98.0,78.6,1417.0,595.0,27.0,31.0,87.1,45.0,53.0,84.9,4.0,11.0,36.4,0.0,5.0,0.0,0.0,8.0,98.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,4.0,4.0,0.0,3.0,3.0,100.0,0.0,5.0,1.0,4.0,4.0,5.0,0.0,127.0,14.0,62.0,56.0,10.0,4.0,127.0,0.0,0.0,0.0,56.0,2.0,0.0,1.0,68.0,2.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,18.0,11.0,4.0,73.3
-Joaquín Correa,ar ARG,FW,Inter,26,1994,26.0,12.0,1025.0,6.0,1.0,0.0,0.0,2.0,0.0,0.53,0.09,0.61,0.53,0.61,5.6,5.6,0.49,0.49,11.4,16.0,0.0,45.7,1.4,0.17,0.38,0.16,0.4,0.4,280.0,344.0,81.4,3881.0,879.0,166.0,195.0,85.1,81.0,94.0,86.2,14.0,18.0,77.8,19.0,22.0,11.0,0.0,38.0,335.0,7.0,3.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,2.0,6.0,43.0,3.78,32.0,0.0,5.0,5.0,1.0,5.0,0.44,3.0,0.0,1.0,1.0,0.0,0.0,11.0,5.0,2.0,6.0,3.0,1.0,13.0,7.7,12.0,8.0,1.0,7.0,3.0,2.0,0.0,492.0,4.0,21.0,178.0,304.0,85.0,492.0,17.0,40.0,42.5,326.0,41.0,22.0,26.0,385.0,28.0,12.0,0.0,15.0,16.0,1.0,0.0,0.0,0.0,32.0,8.0,11.0,42.1
-Lassana Coulibaly,ml MLI,MF,Salernitana,25,1996,31.0,29.0,2332.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.04,0.04,25.9,7.0,0.0,31.8,0.27,0.0,0.0,0.05,-1.1,-1.1,677.0,834.0,81.2,10398.0,3087.0,361.0,416.0,86.8,241.0,290.0,83.1,46.0,66.0,69.7,10.0,71.0,8.0,2.0,82.0,809.0,22.0,15.0,0.0,3.0,13.0,0.0,0.0,0.0,0.0,5.0,3.0,19.0,43.0,1.66,32.0,0.0,2.0,3.0,6.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,58.0,32.0,29.0,26.0,3.0,24.0,62.0,38.7,38.0,40.0,13.0,27.0,22.0,27.0,0.0,1139.0,64.0,273.0,666.0,229.0,8.0,1139.0,35.0,64.0,54.7,649.0,39.0,37.0,1.0,631.0,35.0,20.0,0.0,34.0,49.0,0.0,0.0,0.0,0.0,171.0,22.0,23.0,48.9
-Mamadou Coulibaly,sn SEN,MF,Salernitana,22,1999,12.0,9.0,808.0,2.0,0.0,0.0,0.0,1.0,0.0,0.22,0.0,0.22,0.22,0.22,1.1,1.1,0.13,0.13,9.0,4.0,0.0,40.0,0.45,0.2,0.5,0.12,0.9,0.9,250.0,331.0,75.5,3878.0,1225.0,135.0,160.0,84.4,83.0,106.0,78.3,20.0,28.0,71.4,5.0,31.0,4.0,1.0,37.0,327.0,3.0,2.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,1.0,15.0,25.0,2.79,19.0,1.0,2.0,1.0,2.0,2.0,0.22,0.0,0.0,1.0,1.0,0.0,0.0,15.0,12.0,8.0,5.0,2.0,7.0,20.0,35.0,13.0,9.0,0.0,9.0,11.0,9.0,0.0,444.0,11.0,96.0,228.0,131.0,12.0,444.0,18.0,26.0,69.2,245.0,16.0,12.0,1.0,255.0,27.0,6.0,0.0,16.0,9.0,0.0,1.0,0.0,0.0,74.0,9.0,8.0,52.9
-Alessio Cragno,it ITA,GK,Cagliari,27,1994,35.0,35.0,3150.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,775.0,1216.0,63.7,27429.0,23118.0,97.0,100.0,97.0,256.0,264.0,97.0,410.0,830.0,49.4,0.0,27.0,0.0,0.0,0.0,752.0,454.0,138.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,4.0,0.11,1.0,3.0,0.0,0.0,0.0,1.0,0.03,0.0,1.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,1.0,14.0,1.0,1305.0,1064.0,1295.0,11.0,0.0,0.0,1305.0,0.0,0.0,0.0,638.0,0.0,0.0,0.0,487.0,1.0,1.0,0.0,1.0,8.0,0.0,0.0,1.0,0.0,39.0,3.0,3.0,50.0
-Domenico Criscito,it ITA,DF,Genoa,34,1986,20.0,18.0,1618.0,6.0,1.0,6.0,7.0,4.0,0.0,0.33,0.06,0.39,0.0,0.06,6.0,0.5,0.33,0.03,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,-0.5,774.0,1008.0,76.8,13602.0,5375.0,342.0,378.0,90.5,350.0,427.0,82.0,67.0,161.0,41.6,9.0,61.0,13.0,8.0,70.0,836.0,161.0,52.0,2.0,6.0,50.0,7.0,3.0,4.0,0.0,92.0,11.0,13.0,25.0,1.39,15.0,4.0,0.0,3.0,1.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,0.0,37.0,21.0,19.0,14.0,4.0,16.0,25.0,64.0,9.0,22.0,12.0,10.0,39.0,57.0,0.0,1218.0,110.0,439.0,563.0,227.0,14.0,1211.0,8.0,11.0,72.7,625.0,33.0,25.0,3.0,648.0,13.0,9.0,0.0,21.0,27.0,0.0,0.0,0.0,0.0,126.0,18.0,17.0,51.4
-Bryan Cristante,it ITA,MF,Roma,26,1995,34.0,29.0,2678.0,2.0,0.0,0.0,0.0,9.0,0.0,0.07,0.0,0.07,0.07,0.07,3.0,3.0,0.1,0.1,29.8,5.0,0.0,12.5,0.17,0.05,0.4,0.07,-1.0,-1.0,1484.0,1818.0,81.6,29534.0,9846.0,531.0,621.0,85.5,709.0,811.0,87.4,221.0,315.0,70.2,24.0,247.0,21.0,3.0,231.0,1734.0,79.0,71.0,3.0,18.0,14.0,0.0,0.0,0.0,0.0,8.0,5.0,18.0,62.0,2.08,52.0,0.0,0.0,7.0,1.0,1.0,0.03,0.0,0.0,0.0,1.0,0.0,0.0,79.0,39.0,31.0,39.0,9.0,37.0,69.0,53.6,32.0,31.0,5.0,26.0,40.0,45.0,0.0,2112.0,85.0,461.0,1393.0,272.0,42.0,2112.0,23.0,30.0,76.7,1099.0,31.0,33.0,0.0,1431.0,19.0,15.0,0.0,40.0,14.0,1.0,0.0,1.0,1.0,190.0,87.0,61.0,58.8
-Domen Črnigoj,si SVN,MF,Venezia,25,1995,34.0,22.0,1881.0,3.0,1.0,0.0,0.0,3.0,0.0,0.14,0.05,0.19,0.14,0.19,2.5,2.5,0.12,0.12,20.9,12.0,0.0,37.5,0.57,0.09,0.25,0.08,0.5,0.5,494.0,677.0,73.0,8105.0,2645.0,260.0,309.0,84.1,169.0,224.0,75.4,51.0,82.0,62.2,10.0,37.0,12.0,4.0,69.0,650.0,25.0,4.0,0.0,3.0,30.0,0.0,0.0,0.0,0.0,21.0,2.0,31.0,35.0,1.68,28.0,0.0,2.0,3.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,7.0,11.0,3.0,11.0,29.0,37.9,18.0,27.0,8.0,19.0,24.0,42.0,0.0,938.0,60.0,246.0,440.0,269.0,34.0,938.0,18.0,38.0,47.4,496.0,34.0,22.0,9.0,569.0,41.0,17.0,0.0,26.0,12.0,1.0,0.0,1.0,0.0,106.0,25.0,43.0,36.8
-Giovanni Crociata,it ITA,FW,Empoli,23,1997,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.71,0.71,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.12,-0.1,-0.1,7.0,9.0,77.8,91.0,18.0,3.0,3.0,100.0,3.0,4.0,75.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,5.0,6.0,2.0,11.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Juan Cuadrado,co COL,"DF,MF",Juventus,33,1988,33.0,28.0,2487.0,4.0,3.0,0.0,0.0,9.0,0.0,0.14,0.11,0.25,0.14,0.25,2.4,2.4,0.09,0.09,27.6,13.0,5.0,36.1,0.47,0.11,0.31,0.07,1.6,1.6,1585.0,1877.0,84.4,29961.0,8619.0,683.0,741.0,92.2,669.0,757.0,88.4,216.0,324.0,66.7,59.0,115.0,50.0,13.0,169.0,1648.0,224.0,57.0,1.0,31.0,134.0,55.0,26.0,22.0,1.0,112.0,5.0,16.0,111.0,4.02,74.0,21.0,7.0,4.0,4.0,12.0,0.43,8.0,1.0,2.0,0.0,1.0,0.0,48.0,23.0,30.0,13.0,5.0,30.0,55.0,54.5,25.0,23.0,5.0,18.0,29.0,34.0,0.0,2170.0,59.0,492.0,1038.0,665.0,69.0,2169.0,46.0,74.0,62.2,1313.0,93.0,63.0,33.0,1544.0,46.0,15.0,0.0,19.0,52.0,1.0,0.0,0.0,0.0,162.0,20.0,14.0,58.8
-Mickaël Cuisance,fr FRA,MF,Venezia,21,1999,13.0,13.0,918.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,10.2,1.0,2.0,16.7,0.1,0.0,0.0,0.1,-0.6,-0.6,285.0,370.0,77.0,5004.0,1465.0,113.0,136.0,83.1,124.0,150.0,82.7,30.0,53.0,56.6,10.0,33.0,9.0,0.0,37.0,340.0,30.0,11.0,3.0,4.0,18.0,11.0,5.0,5.0,0.0,4.0,0.0,4.0,25.0,2.45,20.0,1.0,1.0,2.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,23.0,9.0,7.0,12.0,4.0,10.0,28.0,35.7,18.0,14.0,0.0,14.0,12.0,5.0,0.0,494.0,5.0,105.0,257.0,140.0,5.0,494.0,19.0,35.0,54.3,277.0,10.0,11.0,0.0,303.0,13.0,26.0,0.0,12.0,9.0,1.0,0.0,1.0,0.0,57.0,9.0,9.0,50.0
-Patrick Cutrone,it ITA,FW,Empoli,23,1998,28.0,15.0,1401.0,3.0,0.0,0.0,0.0,1.0,0.0,0.19,0.0,0.19,0.19,0.19,4.4,4.4,0.29,0.29,15.6,14.0,0.0,28.0,0.9,0.06,0.21,0.09,-1.4,-1.4,161.0,248.0,64.9,2386.0,370.0,97.0,125.0,77.6,49.0,74.0,66.2,11.0,20.0,55.0,9.0,13.0,9.0,2.0,16.0,226.0,20.0,1.0,0.0,2.0,21.0,0.0,0.0,0.0,0.0,2.0,2.0,9.0,22.0,1.41,16.0,0.0,2.0,1.0,1.0,2.0,0.13,1.0,0.0,0.0,0.0,1.0,0.0,5.0,2.0,0.0,3.0,2.0,1.0,9.0,11.1,8.0,11.0,1.0,10.0,5.0,1.0,0.0,391.0,3.0,17.0,132.0,250.0,78.0,391.0,9.0,18.0,50.0,235.0,20.0,4.0,9.0,293.0,37.0,18.0,0.0,13.0,16.0,20.0,1.0,0.0,0.0,40.0,9.0,30.0,23.1
-Danilo D'Ambrosio,it ITA,DF,Inter,32,1988,20.0,9.0,1000.0,1.0,1.0,0.0,0.0,2.0,0.0,0.09,0.09,0.18,0.09,0.18,2.0,2.0,0.18,0.18,11.1,3.0,0.0,21.4,0.27,0.07,0.33,0.14,-1.0,-1.0,642.0,736.0,87.2,11095.0,3644.0,297.0,318.0,93.4,272.0,298.0,91.3,55.0,89.0,61.8,2.0,45.0,2.0,1.0,47.0,711.0,25.0,18.0,1.0,5.0,7.0,0.0,0.0,0.0,0.0,7.0,0.0,10.0,11.0,0.99,9.0,0.0,0.0,1.0,0.0,3.0,0.27,3.0,0.0,0.0,0.0,0.0,0.0,30.0,15.0,21.0,8.0,1.0,11.0,22.0,50.0,11.0,21.0,10.0,11.0,8.0,20.0,0.0,872.0,84.0,401.0,379.0,98.0,24.0,872.0,4.0,6.0,66.7,522.0,8.0,11.0,1.0,628.0,16.0,5.0,0.0,13.0,5.0,1.0,0.0,0.0,0.0,63.0,18.0,16.0,52.9
-Mikkel Damsgaard,dk DEN,"MF,FW",Sampdoria,21,2000,11.0,6.0,578.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.09,0.09,6.4,2.0,1.0,18.2,0.31,0.0,0.0,0.06,-0.6,-0.6,196.0,264.0,74.2,2909.0,860.0,110.0,131.0,84.0,62.0,77.0,80.5,12.0,22.0,54.5,11.0,21.0,9.0,1.0,29.0,251.0,6.0,1.0,1.0,2.0,5.0,1.0,0.0,0.0,0.0,4.0,7.0,7.0,27.0,4.21,21.0,1.0,1.0,1.0,2.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,0.0,27.0,13.0,12.0,11.0,4.0,20.0,36.0,55.6,16.0,16.0,1.0,15.0,7.0,7.0,0.0,352.0,9.0,60.0,155.0,145.0,23.0,352.0,16.0,25.0,64.0,202.0,11.0,11.0,2.0,235.0,12.0,10.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,41.0,7.0,5.0,58.3
-Danilo,br BRA,"DF,MF",Juventus,30,1991,22.0,22.0,1893.0,1.0,2.0,0.0,0.0,6.0,0.0,0.05,0.1,0.14,0.05,0.14,0.9,0.9,0.04,0.04,21.0,3.0,0.0,23.1,0.14,0.08,0.33,0.07,0.1,0.1,1270.0,1480.0,85.8,22995.0,8411.0,524.0,563.0,93.1,599.0,663.0,90.3,132.0,208.0,63.5,14.0,133.0,15.0,6.0,115.0,1288.0,184.0,41.0,2.0,5.0,13.0,0.0,0.0,0.0,0.0,142.0,8.0,15.0,39.0,1.85,33.0,1.0,0.0,3.0,2.0,3.0,0.14,2.0,0.0,0.0,1.0,0.0,0.0,37.0,26.0,20.0,13.0,4.0,18.0,28.0,64.3,10.0,21.0,12.0,9.0,32.0,53.0,1.0,1655.0,105.0,565.0,904.0,200.0,16.0,1655.0,4.0,9.0,44.4,832.0,25.0,17.0,2.0,1097.0,9.0,4.0,0.0,19.0,11.0,0.0,0.0,0.0,0.0,121.0,37.0,24.0,60.7
-Ebrima Darboe,gm GAM,MF,Roma,20,2001,1.0,1.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.12,0.12,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.1,-0.1,38.0,40.0,95.0,803.0,154.0,12.0,14.0,85.7,20.0,20.0,100.0,6.0,6.0,100.0,0.0,6.0,0.0,0.0,3.0,38.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,45.0,1.0,5.0,34.0,6.0,1.0,45.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,33.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Matteo Darmian,it ITA,DF,Inter,31,1989,25.0,18.0,1507.0,2.0,1.0,0.0,0.0,4.0,0.0,0.12,0.06,0.18,0.12,0.18,0.8,0.8,0.05,0.05,16.7,4.0,0.0,50.0,0.24,0.25,0.5,0.1,1.2,1.2,534.0,671.0,79.6,8588.0,3233.0,261.0,295.0,88.5,235.0,277.0,84.8,31.0,56.0,55.4,21.0,27.0,21.0,10.0,51.0,545.0,123.0,3.0,2.0,1.0,37.0,0.0,0.0,0.0,0.0,120.0,3.0,22.0,43.0,2.57,35.0,2.0,1.0,2.0,1.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,0.0,32.0,16.0,17.0,9.0,6.0,16.0,41.0,39.0,25.0,16.0,1.0,15.0,19.0,25.0,0.0,806.0,35.0,245.0,312.0,253.0,29.0,806.0,4.0,9.0,44.4,381.0,25.0,16.0,8.0,483.0,15.0,2.0,0.0,23.0,18.0,0.0,1.0,0.0,0.0,54.0,18.0,5.0,78.3
-Paweł Dawidowicz,pl POL,DF,Hellas Verona,26,1995,17.0,13.0,1198.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,13.3,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,511.0,600.0,85.2,8677.0,2983.0,241.0,266.0,90.6,224.0,256.0,87.5,41.0,57.0,71.9,6.0,42.0,3.0,0.0,50.0,578.0,19.0,12.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,7.0,3.0,8.0,11.0,0.83,7.0,0.0,0.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,30.0,18.0,16.0,10.0,4.0,16.0,25.0,64.0,9.0,14.0,11.0,3.0,21.0,53.0,0.0,757.0,82.0,301.0,379.0,84.0,16.0,757.0,5.0,5.0,100.0,413.0,16.0,19.0,1.0,437.0,7.0,2.0,0.0,26.0,14.0,0.0,0.0,1.0,0.0,70.0,22.0,25.0,46.8
-Sebastien De Maio,fr FRA,DF,Udinese,34,1987,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,55.0,74.0,74.3,1121.0,585.0,15.0,18.0,83.3,31.0,34.0,91.2,7.0,20.0,35.0,1.0,4.0,0.0,0.0,3.0,72.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,1.0,9.0,11.1,8.0,6.0,5.0,1.0,1.0,9.0,0.0,97.0,13.0,69.0,29.0,0.0,0.0,97.0,1.0,1.0,100.0,40.0,0.0,0.0,0.0,44.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,16.0,2.0,3.0,40.0
-Tommaso De Nipoti,it ITA,FW,Atalanta,18,2003,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,10.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Mattia De Sciglio,it ITA,DF,Juventus,28,1992,20.0,13.0,1168.0,1.0,2.0,0.0,0.0,2.0,1.0,0.08,0.15,0.23,0.08,0.23,0.2,0.2,0.02,0.02,13.0,2.0,0.0,33.3,0.15,0.17,0.5,0.04,0.8,0.8,541.0,681.0,79.4,9821.0,3507.0,239.0,270.0,88.5,239.0,286.0,83.6,60.0,97.0,61.9,19.0,34.0,16.0,14.0,40.0,562.0,115.0,13.0,1.0,8.0,52.0,9.0,7.0,2.0,0.0,93.0,4.0,16.0,32.0,2.47,26.0,3.0,1.0,1.0,1.0,4.0,0.31,4.0,0.0,0.0,0.0,0.0,0.0,24.0,12.0,7.0,9.0,8.0,11.0,24.0,45.8,13.0,10.0,0.0,10.0,10.0,30.0,0.0,794.0,43.0,246.0,362.0,194.0,13.0,794.0,9.0,15.0,60.0,363.0,36.0,18.0,5.0,450.0,12.0,3.0,0.0,15.0,7.0,0.0,0.0,1.0,0.0,75.0,16.0,8.0,66.7
-Lorenzo De Silvestri,it ITA,DF,Bologna,33,1988,31.0,27.0,2294.0,3.0,2.0,0.0,0.0,7.0,0.0,0.12,0.08,0.2,0.12,0.2,1.9,1.9,0.07,0.07,25.5,7.0,0.0,43.8,0.27,0.19,0.43,0.12,1.1,1.1,990.0,1353.0,73.2,14979.0,7494.0,569.0,671.0,84.8,323.0,433.0,74.6,62.0,148.0,41.9,21.0,83.0,26.0,12.0,121.0,1111.0,235.0,19.0,0.0,3.0,57.0,0.0,0.0,0.0,0.0,216.0,7.0,32.0,46.0,1.8,32.0,9.0,0.0,2.0,3.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,0.0,23.0,14.0,13.0,8.0,2.0,9.0,31.0,29.0,22.0,25.0,7.0,18.0,26.0,52.0,0.0,1593.0,88.0,478.0,758.0,363.0,42.0,1593.0,6.0,18.0,33.3,743.0,47.0,29.0,2.0,983.0,32.0,17.0,0.0,28.0,28.0,3.0,1.0,0.0,0.0,97.0,75.0,46.0,62.0
-Grégoire Defrel,mq MTQ,FW,Sassuolo,30,1991,38.0,11.0,1362.0,2.0,2.0,0.0,0.0,3.0,0.0,0.13,0.13,0.26,0.13,0.26,4.2,4.2,0.28,0.28,15.1,10.0,0.0,37.0,0.66,0.07,0.2,0.16,-2.2,-2.2,330.0,386.0,85.5,4015.0,629.0,203.0,229.0,88.6,82.0,92.0,89.1,9.0,11.0,81.8,23.0,16.0,12.0,0.0,30.0,355.0,31.0,1.0,6.0,1.0,1.0,3.0,1.0,0.0,0.0,2.0,0.0,6.0,48.0,3.18,38.0,0.0,5.0,3.0,2.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,0.0,15.0,9.0,4.0,8.0,3.0,6.0,16.0,37.5,10.0,11.0,1.0,10.0,4.0,11.0,0.0,549.0,13.0,50.0,250.0,256.0,48.0,549.0,20.0,37.0,54.1,342.0,26.0,19.0,12.0,405.0,39.0,32.0,0.0,16.0,18.0,3.0,0.0,0.0,0.0,43.0,9.0,36.0,20.0
-Alessandro Deiola,it ITA,MF,Cagliari,25,1995,33.0,28.0,2129.0,4.0,1.0,0.0,0.0,5.0,0.0,0.17,0.04,0.21,0.17,0.21,3.0,3.0,0.13,0.13,23.7,12.0,0.0,46.2,0.51,0.15,0.33,0.12,1.0,1.0,590.0,774.0,76.2,10649.0,2510.0,251.0,325.0,77.2,245.0,295.0,83.1,72.0,96.0,75.0,13.0,43.0,11.0,3.0,70.0,753.0,16.0,14.0,0.0,11.0,12.0,1.0,1.0,0.0,0.0,0.0,5.0,21.0,37.0,1.56,32.0,0.0,0.0,4.0,0.0,4.0,0.17,3.0,0.0,0.0,1.0,0.0,0.0,47.0,22.0,15.0,25.0,7.0,23.0,58.0,39.7,35.0,28.0,10.0,18.0,26.0,45.0,0.0,1028.0,68.0,300.0,536.0,205.0,24.0,1028.0,6.0,13.0,46.2,482.0,12.0,10.0,1.0,559.0,30.0,11.0,0.0,45.0,21.0,1.0,0.0,0.0,0.0,149.0,40.0,42.0,48.8
-Filippo Delli Carri,it ITA,DF,Salernitana,22,1999,5.0,3.0,334.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.08,0.08,3.7,2.0,0.0,50.0,0.54,0.0,0.0,0.08,-0.3,-0.3,86.0,123.0,69.9,1269.0,668.0,53.0,64.0,82.8,27.0,39.0,69.2,3.0,12.0,25.0,1.0,4.0,1.0,0.0,7.0,102.0,20.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,17.0,1.0,4.0,4.0,1.07,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,5.0,14.0,35.7,9.0,6.0,2.0,4.0,4.0,14.0,0.0,168.0,21.0,83.0,61.0,26.0,6.0,168.0,1.0,1.0,100.0,68.0,3.0,5.0,0.0,80.0,6.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,18.0,4.0,3.0,57.1
-Merih Demiral,tr TUR,DF,Atalanta,23,1998,28.0,22.0,1917.0,1.0,2.0,0.0,0.0,8.0,0.0,0.05,0.09,0.14,0.05,0.14,3.0,3.0,0.14,0.14,21.3,6.0,0.0,24.0,0.28,0.04,0.17,0.12,-2.0,-2.0,683.0,801.0,85.3,13396.0,3973.0,201.0,238.0,84.5,400.0,440.0,90.9,71.0,102.0,69.6,4.0,24.0,0.0,0.0,25.0,760.0,41.0,39.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,8.0,0.38,2.0,0.0,1.0,4.0,0.0,3.0,0.14,0.0,0.0,0.0,3.0,0.0,0.0,31.0,17.0,18.0,12.0,1.0,15.0,28.0,53.6,13.0,26.0,14.0,12.0,58.0,68.0,1.0,1070.0,132.0,554.0,465.0,61.0,34.0,1070.0,2.0,4.0,50.0,531.0,3.0,8.0,2.0,544.0,15.0,5.0,0.0,29.0,16.0,3.0,0.0,1.0,0.0,122.0,85.0,37.0,69.7
-Diego Demme,de GER,MF,Napoli,29,1991,19.0,7.0,692.0,1.0,0.0,0.0,0.0,4.0,0.0,0.13,0.0,0.13,0.13,0.13,0.5,0.5,0.07,0.07,7.7,1.0,0.0,50.0,0.13,0.5,1.0,0.25,0.5,0.5,539.0,596.0,90.4,8082.0,2155.0,304.0,319.0,95.3,181.0,200.0,90.5,33.0,49.0,67.3,5.0,43.0,7.0,2.0,44.0,589.0,7.0,6.0,1.0,3.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,23.0,3.0,19.0,0.0,0.0,1.0,2.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,21.0,12.0,4.0,13.0,4.0,10.0,21.0,47.6,11.0,11.0,2.0,9.0,9.0,2.0,0.0,662.0,17.0,152.0,410.0,106.0,4.0,662.0,3.0,4.0,75.0,430.0,8.0,12.0,1.0,514.0,12.0,5.0,0.0,28.0,8.0,0.0,0.0,0.0,0.0,52.0,4.0,5.0,44.4
-Fabio Depaoli,it ITA,DF,Hellas Verona,24,1997,18.0,7.0,703.0,1.0,1.0,0.0,0.0,3.0,0.0,0.13,0.13,0.26,0.13,0.26,1.0,1.0,0.13,0.13,7.8,4.0,0.0,40.0,0.51,0.1,0.25,0.1,0.0,0.0,174.0,283.0,61.5,2825.0,1485.0,94.0,117.0,80.3,55.0,83.0,66.3,18.0,48.0,37.5,6.0,13.0,15.0,5.0,30.0,217.0,64.0,1.0,2.0,2.0,32.0,0.0,0.0,0.0,0.0,63.0,2.0,13.0,17.0,2.18,14.0,1.0,1.0,0.0,1.0,3.0,0.38,3.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,6.0,4.0,2.0,1.0,7.0,14.3,6.0,9.0,2.0,7.0,8.0,14.0,0.0,369.0,22.0,78.0,150.0,149.0,16.0,369.0,8.0,11.0,72.7,151.0,12.0,9.0,2.0,178.0,8.0,6.0,0.0,20.0,10.0,4.0,0.0,0.0,0.0,39.0,9.0,12.0,42.9
-Fabio Depaoli,it ITA,"MF,DF",Sampdoria,24,1997,6.0,1.0,112.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,36.0,61.1,358.0,133.0,11.0,13.0,84.6,8.0,11.0,72.7,2.0,4.0,50.0,0.0,2.0,0.0,0.0,5.0,33.0,3.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,0.0,2.0,0.0,2.0,2.0,1.0,1.0,1.0,2.0,0.0,52.0,2.0,14.0,21.0,18.0,2.0,52.0,1.0,2.0,50.0,24.0,0.0,2.0,0.0,29.0,5.0,0.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,25.0
-Mattia Destro,it ITA,FW,Genoa,30,1991,27.0,21.0,1744.0,9.0,1.0,0.0,0.0,4.0,0.0,0.46,0.05,0.52,0.46,0.52,7.9,7.9,0.41,0.41,19.4,20.0,0.0,37.0,1.03,0.17,0.45,0.15,1.1,1.1,196.0,340.0,57.6,2598.0,672.0,123.0,189.0,65.1,53.0,95.0,55.8,8.0,16.0,50.0,11.0,25.0,6.0,1.0,26.0,295.0,44.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,12.0,31.0,1.6,20.0,0.0,4.0,4.0,3.0,4.0,0.21,2.0,0.0,1.0,0.0,1.0,0.0,9.0,4.0,1.0,4.0,4.0,1.0,6.0,16.7,5.0,14.0,1.0,13.0,2.0,16.0,0.0,566.0,15.0,44.0,291.0,232.0,80.0,566.0,11.0,26.0,42.3,270.0,13.0,7.0,10.0,409.0,66.0,25.0,0.0,40.0,31.0,19.0,0.0,0.0,0.0,30.0,62.0,110.0,36.0
-Gerard Deulofeu,es ESP,"FW,MF",Udinese,27,1994,34.0,31.0,2616.0,13.0,5.0,1.0,1.0,9.0,0.0,0.45,0.17,0.62,0.41,0.58,8.6,7.8,0.3,0.27,29.1,33.0,13.0,42.9,1.14,0.16,0.36,0.1,4.4,4.2,756.0,1089.0,69.4,11726.0,4368.0,409.0,481.0,85.0,241.0,322.0,74.8,66.0,156.0,42.3,83.0,63.0,73.0,1.0,154.0,870.0,212.0,62.0,7.0,2.0,166.0,123.0,36.0,55.0,1.0,11.0,7.0,47.0,149.0,5.13,85.0,39.0,10.0,8.0,7.0,11.0,0.38,6.0,2.0,0.0,2.0,1.0,0.0,11.0,6.0,2.0,3.0,6.0,7.0,29.0,24.1,22.0,14.0,0.0,14.0,9.0,4.0,0.0,1438.0,13.0,75.0,439.0,938.0,177.0,1437.0,50.0,117.0,42.7,889.0,154.0,79.0,83.0,991.0,100.0,44.0,0.0,25.0,31.0,33.0,2.0,0.0,0.0,93.0,2.0,17.0,10.5
-Jacopo Dezi,it ITA,MF,Venezia,29,1992,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,22.0,26.0,84.6,498.0,172.0,8.0,8.0,100.0,9.0,10.0,90.0,5.0,7.0,71.4,1.0,4.0,3.0,1.0,5.0,23.0,2.0,0.0,0.0,1.0,3.0,2.0,1.0,1.0,0.0,0.0,1.0,0.0,2.0,10.59,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,30.0,0.0,1.0,19.0,11.0,1.0,30.0,1.0,2.0,50.0,14.0,1.0,1.0,1.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
-Samuel Di Carmine,it ITA,FW,Hellas Verona,32,1988,1.0,0.0,36.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.16,0.16,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,5.0,5.0,100.0,72.0,11.0,3.0,3.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,6.0,2.0,1.0,8.0,0.0,0.0,0.0,7.0,1.0,1.0,0.0,8.0,2.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,33.3
-Federico Di Francesco,it ITA,"FW,MF",Empoli,27,1994,26.0,17.0,1367.0,5.0,0.0,0.0,0.0,2.0,0.0,0.33,0.0,0.33,0.33,0.33,2.4,2.4,0.16,0.16,15.2,8.0,0.0,30.8,0.53,0.19,0.63,0.09,2.6,2.6,249.0,386.0,64.5,3563.0,1159.0,139.0,174.0,79.9,62.0,104.0,59.6,22.0,50.0,44.0,14.0,24.0,15.0,2.0,45.0,366.0,15.0,2.0,3.0,5.0,38.0,8.0,3.0,3.0,0.0,1.0,5.0,12.0,41.0,2.7,31.0,1.0,1.0,4.0,4.0,7.0,0.46,4.0,1.0,0.0,1.0,1.0,0.0,16.0,5.0,2.0,8.0,6.0,9.0,23.0,39.1,14.0,17.0,1.0,16.0,9.0,11.0,0.0,550.0,8.0,49.0,197.0,307.0,68.0,550.0,13.0,35.0,37.1,348.0,27.0,14.0,14.0,400.0,39.0,31.0,0.0,29.0,27.0,13.0,1.0,0.0,0.0,50.0,2.0,17.0,10.5
-Giovanni Di Lorenzo,it ITA,DF,Napoli,27,1993,33.0,33.0,2869.0,1.0,4.0,0.0,0.0,3.0,0.0,0.03,0.13,0.16,0.03,0.16,1.5,1.5,0.05,0.05,31.9,4.0,0.0,21.1,0.13,0.05,0.25,0.08,-0.5,-0.5,2008.0,2290.0,87.7,30064.0,10413.0,1175.0,1260.0,93.3,670.0,749.0,89.5,108.0,156.0,69.2,34.0,163.0,41.0,5.0,196.0,1949.0,338.0,54.0,3.0,20.0,49.0,1.0,0.0,0.0,0.0,283.0,3.0,41.0,68.0,2.13,58.0,2.0,2.0,4.0,1.0,7.0,0.22,4.0,1.0,0.0,2.0,0.0,0.0,58.0,36.0,30.0,20.0,8.0,33.0,58.0,56.9,25.0,28.0,10.0,18.0,38.0,46.0,1.0,2579.0,103.0,682.0,1283.0,629.0,77.0,2579.0,20.0,46.0,43.5,1531.0,66.0,47.0,11.0,1775.0,24.0,26.0,0.0,37.0,46.0,8.0,1.0,0.0,0.0,168.0,44.0,28.0,61.1
-Francesco Di Mariano,it ITA,FW,Venezia,25,1996,1.0,1.0,62.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,14.0,78.6,239.0,30.0,3.0,4.0,75.0,6.0,7.0,85.7,2.0,3.0,66.7,1.0,0.0,1.0,1.0,0.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.45,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,20.0,1.0,1.0,6.0,13.0,1.0,20.0,0.0,2.0,0.0,14.0,0.0,1.0,0.0,15.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Francesco Di Tacchio,it ITA,MF,Salernitana,31,1990,18.0,14.0,1255.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.04,0.04,13.9,1.0,1.0,7.1,0.07,0.0,0.0,0.04,-0.6,-0.6,426.0,535.0,79.6,7044.0,2466.0,195.0,230.0,84.8,179.0,207.0,86.5,32.0,55.0,58.2,4.0,42.0,5.0,1.0,56.0,482.0,50.0,44.0,2.0,5.0,7.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,16.0,1.15,13.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,5.0,10.0,2.0,9.0,25.0,36.0,16.0,16.0,8.0,8.0,22.0,25.0,0.0,683.0,44.0,169.0,438.0,84.0,8.0,683.0,6.0,10.0,60.0,338.0,5.0,7.0,1.0,369.0,17.0,7.0,0.0,24.0,24.0,0.0,0.0,0.0,1.0,85.0,15.0,17.0,46.9
-Amadou Diawara,gn GUI,MF,Roma,24,1997,4.0,2.0,170.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,56.0,71.0,78.9,900.0,265.0,29.0,34.0,85.3,22.0,26.0,84.6,4.0,9.0,44.4,1.0,3.0,0.0,0.0,4.0,68.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.53,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,5.0,2.0,0.0,1.0,3.0,33.3,2.0,2.0,0.0,2.0,0.0,1.0,0.0,82.0,3.0,22.0,51.0,9.0,0.0,82.0,1.0,1.0,100.0,34.0,0.0,0.0,0.0,50.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,0.0,100.0
-Brahim Díaz,es ESP,MF,Milan,21,1999,31.0,25.0,1855.0,3.0,3.0,0.0,0.0,4.0,0.0,0.15,0.15,0.29,0.15,0.29,4.4,4.4,0.21,0.21,20.6,6.0,0.0,20.0,0.29,0.1,0.5,0.15,-1.4,-1.4,605.0,721.0,83.9,8842.0,2068.0,335.0,375.0,89.3,207.0,234.0,88.5,28.0,44.0,63.6,31.0,57.0,29.0,3.0,88.0,674.0,37.0,5.0,5.0,2.0,11.0,3.0,0.0,0.0,0.0,1.0,10.0,11.0,78.0,3.78,61.0,2.0,4.0,3.0,5.0,10.0,0.48,7.0,1.0,0.0,2.0,0.0,0.0,23.0,17.0,3.0,11.0,9.0,8.0,22.0,36.4,14.0,11.0,0.0,11.0,8.0,4.0,0.0,946.0,7.0,59.0,489.0,421.0,63.0,946.0,45.0,88.0,51.1,609.0,59.0,50.0,13.0,717.0,64.0,39.0,0.0,22.0,33.0,4.0,0.0,0.0,0.0,108.0,4.0,40.0,9.1
-Mitchell Dijks,nl NED,"DF,FW",Bologna,28,1993,16.0,7.0,694.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.26,0.26,0.0,0.26,0.5,0.5,0.07,0.07,7.7,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.5,-0.5,247.0,338.0,73.1,3523.0,1620.0,147.0,169.0,87.0,78.0,114.0,68.4,14.0,27.0,51.9,7.0,12.0,4.0,4.0,15.0,263.0,75.0,1.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,74.0,0.0,15.0,12.0,1.56,8.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,6.0,6.0,6.0,3.0,5.0,12.0,41.7,7.0,11.0,2.0,9.0,3.0,10.0,1.0,427.0,18.0,147.0,156.0,131.0,13.0,427.0,12.0,28.0,42.9,228.0,21.0,13.0,4.0,254.0,12.0,4.0,0.0,10.0,10.0,0.0,0.0,0.0,0.0,44.0,9.0,4.0,69.2
-Federico Dimarco,it ITA,DF,Inter,23,1997,32.0,13.0,1430.0,2.0,3.0,0.0,1.0,1.0,0.0,0.13,0.19,0.31,0.13,0.31,4.1,3.3,0.26,0.21,15.9,18.0,3.0,47.4,1.13,0.05,0.11,0.09,-2.1,-1.3,1000.0,1216.0,82.2,17832.0,6312.0,477.0,504.0,94.6,377.0,432.0,87.3,118.0,215.0,54.9,48.0,84.0,32.0,18.0,94.0,1027.0,187.0,36.0,0.0,14.0,151.0,74.0,16.0,47.0,0.0,60.0,2.0,20.0,88.0,5.53,42.0,30.0,4.0,10.0,1.0,8.0,0.5,3.0,3.0,0.0,2.0,0.0,0.0,28.0,15.0,10.0,15.0,3.0,13.0,24.0,54.2,11.0,6.0,1.0,5.0,19.0,19.0,0.0,1365.0,61.0,357.0,583.0,442.0,41.0,1364.0,10.0,16.0,62.5,789.0,54.0,31.0,10.0,928.0,14.0,10.0,0.0,15.0,14.0,2.0,0.0,0.0,0.0,103.0,8.0,8.0,50.0
-Filippo Distefano,it ITA,FW,Fiorentina,17,2003,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,22.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Koffi Djidji,ci CIV,DF,Torino,28,1992,25.0,21.0,1735.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.04,0.04,19.3,3.0,0.0,30.0,0.16,0.0,0.0,0.07,-0.7,-0.7,690.0,836.0,82.5,12554.0,3859.0,287.0,324.0,88.6,337.0,366.0,92.1,59.0,117.0,50.4,3.0,57.0,8.0,4.0,57.0,783.0,51.0,36.0,0.0,4.0,17.0,0.0,0.0,0.0,0.0,15.0,2.0,6.0,15.0,0.78,15.0,0.0,0.0,0.0,0.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,0.0,48.0,29.0,21.0,23.0,4.0,14.0,18.0,77.8,4.0,20.0,9.0,11.0,34.0,60.0,0.0,1073.0,79.0,416.0,541.0,120.0,10.0,1073.0,8.0,13.0,61.5,565.0,18.0,16.0,2.0,591.0,15.0,9.0,1.0,25.0,7.0,1.0,0.0,3.0,0.0,113.0,45.0,41.0,52.3
-Berat Djimsiti,al ALB,DF,Atalanta,28,1993,31.0,25.0,2256.0,1.0,1.0,0.0,0.0,6.0,0.0,0.04,0.04,0.08,0.04,0.08,2.4,2.4,0.09,0.09,25.1,3.0,0.0,16.7,0.12,0.06,0.33,0.13,-1.4,-1.4,1192.0,1435.0,83.1,19624.0,7246.0,589.0,660.0,89.2,471.0,530.0,88.9,97.0,169.0,57.4,13.0,99.0,18.0,7.0,100.0,1348.0,84.0,40.0,0.0,14.0,11.0,0.0,0.0,0.0,0.0,44.0,3.0,16.0,23.0,0.92,16.0,0.0,1.0,5.0,0.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,0.0,43.0,24.0,21.0,20.0,2.0,29.0,46.0,63.0,17.0,21.0,11.0,10.0,31.0,56.0,0.0,1663.0,112.0,645.0,839.0,188.0,24.0,1663.0,4.0,6.0,66.7,909.0,19.0,19.0,0.0,1042.0,18.0,3.0,0.0,21.0,14.0,1.0,0.0,1.0,1.0,144.0,57.0,27.0,67.9
-Nicolás Domínguez,ar ARG,MF,Bologna,23,1998,28.0,23.0,2015.0,0.0,3.0,0.0,0.0,8.0,0.0,0.0,0.13,0.13,0.0,0.13,1.3,1.3,0.06,0.06,22.4,3.0,0.0,14.3,0.13,0.0,0.0,0.06,-1.3,-1.3,994.0,1203.0,82.6,16850.0,5280.0,484.0,553.0,87.5,375.0,426.0,88.0,103.0,154.0,66.9,27.0,108.0,29.0,4.0,113.0,1134.0,66.0,45.0,7.0,12.0,14.0,0.0,0.0,0.0,0.0,3.0,3.0,19.0,61.0,2.72,52.0,1.0,0.0,5.0,1.0,4.0,0.18,4.0,0.0,0.0,0.0,0.0,0.0,76.0,45.0,36.0,32.0,8.0,32.0,76.0,42.1,44.0,38.0,9.0,29.0,32.0,34.0,1.0,1484.0,71.0,358.0,891.0,248.0,31.0,1484.0,14.0,34.0,41.2,717.0,18.0,21.0,1.0,904.0,34.0,21.0,0.0,26.0,39.0,0.0,0.0,0.0,0.0,158.0,32.0,29.0,52.5
-Bartłomiej Drągowski,pl POL,GK,Fiorentina,23,1997,7.0,7.0,556.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,276.0,345.0,80.0,7422.0,4533.0,50.0,50.0,100.0,128.0,136.0,94.1,97.0,156.0,62.2,0.0,4.0,0.0,0.0,0.0,294.0,49.0,10.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,2.0,366.0,251.0,363.0,4.0,0.0,0.0,366.0,0.0,0.0,0.0,236.0,0.0,0.0,0.0,247.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
-Radu Drăgușin,ro ROU,DF,Sampdoria,19,2002,13.0,4.0,620.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.3,-0.3,178.0,261.0,68.2,3458.0,1283.0,54.0,70.0,77.1,99.0,134.0,73.9,19.0,44.0,43.2,3.0,14.0,2.0,1.0,13.0,212.0,48.0,10.0,1.0,2.0,4.0,0.0,0.0,0.0,0.0,38.0,1.0,2.0,5.0,0.73,4.0,1.0,0.0,0.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,2.0,6.0,33.3,4.0,8.0,4.0,4.0,10.0,33.0,0.0,337.0,44.0,154.0,142.0,45.0,2.0,337.0,1.0,1.0,100.0,140.0,6.0,4.0,0.0,132.0,2.0,4.0,0.0,6.0,5.0,1.0,0.0,0.0,0.0,49.0,14.0,7.0,66.7
-Radu Drăgușin,ro ROU,DF,Salernitana,19,2002,7.0,5.0,488.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,131.0,163.0,80.4,2517.0,1000.0,50.0,59.0,84.7,64.0,74.0,86.5,15.0,24.0,62.5,1.0,7.0,0.0,0.0,9.0,145.0,18.0,14.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,3.0,0.55,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,3.0,0.0,4.0,10.0,40.0,6.0,7.0,3.0,4.0,13.0,17.0,0.0,215.0,36.0,109.0,102.0,9.0,2.0,215.0,0.0,1.0,0.0,107.0,1.0,3.0,2.0,96.0,3.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,28.0,7.0,7.0,50.0
-Denzel Dumfries,nl NED,DF,Inter,25,1996,33.0,21.0,2028.0,5.0,4.0,0.0,0.0,3.0,0.0,0.22,0.18,0.4,0.22,0.4,6.1,6.1,0.27,0.27,22.5,17.0,0.0,44.7,0.75,0.13,0.29,0.16,-1.1,-1.1,630.0,860.0,73.3,9792.0,2884.0,335.0,400.0,83.8,244.0,332.0,73.5,32.0,64.0,50.0,28.0,31.0,22.0,7.0,58.0,712.0,143.0,2.0,0.0,2.0,36.0,0.0,0.0,0.0,0.0,141.0,5.0,30.0,63.0,2.79,49.0,4.0,3.0,4.0,3.0,7.0,0.31,5.0,1.0,0.0,0.0,1.0,0.0,32.0,12.0,9.0,14.0,9.0,16.0,32.0,50.0,16.0,15.0,6.0,9.0,9.0,26.0,0.0,1088.0,35.0,200.0,376.0,523.0,127.0,1088.0,15.0,30.0,50.0,568.0,55.0,24.0,27.0,683.0,39.0,23.0,0.0,32.0,37.0,4.0,2.0,1.0,0.0,89.0,43.0,32.0,57.3
-Alfred Duncan,gh GHA,MF,Fiorentina,28,1993,33.0,21.0,1931.0,2.0,2.0,0.0,0.0,3.0,0.0,0.09,0.09,0.19,0.09,0.19,1.1,1.1,0.05,0.05,21.5,3.0,0.0,27.3,0.14,0.18,0.67,0.1,0.9,0.9,740.0,947.0,78.1,14309.0,4015.0,304.0,361.0,84.2,298.0,365.0,81.6,121.0,160.0,75.6,26.0,101.0,27.0,9.0,129.0,918.0,23.0,11.0,4.0,20.0,44.0,3.0,1.0,0.0,0.0,9.0,6.0,26.0,50.0,2.33,45.0,1.0,0.0,2.0,1.0,4.0,0.19,4.0,0.0,0.0,0.0,0.0,0.0,34.0,19.0,13.0,16.0,5.0,11.0,32.0,34.4,21.0,32.0,3.0,29.0,10.0,7.0,0.0,1103.0,18.0,168.0,645.0,311.0,29.0,1103.0,13.0,23.0,56.5,685.0,29.0,27.0,6.0,808.0,26.0,16.0,0.0,22.0,13.0,0.0,0.0,0.0,0.0,92.0,9.0,17.0,34.6
-Paulo Dybala,ar ARG,"FW,MF",Juventus,27,1993,29.0,26.0,2061.0,10.0,5.0,1.0,2.0,3.0,0.0,0.44,0.22,0.66,0.39,0.61,8.0,6.5,0.35,0.28,22.9,36.0,10.0,37.1,1.57,0.09,0.25,0.07,2.0,2.5,912.0,1137.0,80.2,15325.0,3164.0,475.0,544.0,87.3,299.0,349.0,85.7,106.0,160.0,66.3,38.0,71.0,27.0,6.0,103.0,1010.0,120.0,29.0,9.0,25.0,66.0,40.0,12.0,20.0,0.0,10.0,7.0,27.0,113.0,4.93,73.0,12.0,10.0,7.0,8.0,13.0,0.57,10.0,3.0,0.0,0.0,0.0,0.0,30.0,13.0,7.0,14.0,9.0,8.0,35.0,22.9,27.0,19.0,0.0,19.0,9.0,4.0,3.0,1451.0,5.0,155.0,690.0,628.0,86.0,1449.0,47.0,79.0,59.5,909.0,50.0,42.0,24.0,1100.0,70.0,28.0,0.0,16.0,48.0,6.0,0.0,0.0,0.0,103.0,10.0,19.0,34.5
-Edin Džeko,ba BIH,FW,Inter,35,1986,36.0,27.0,2469.0,13.0,6.0,0.0,0.0,2.0,0.0,0.47,0.22,0.69,0.47,0.69,14.9,14.9,0.54,0.54,27.4,37.0,0.0,42.5,1.35,0.15,0.35,0.17,-1.9,-1.9,568.0,804.0,70.6,9317.0,2428.0,303.0,393.0,77.1,182.0,250.0,72.8,58.0,90.0,64.4,38.0,60.0,34.0,7.0,107.0,774.0,29.0,1.0,2.0,11.0,35.0,0.0,0.0,0.0,0.0,2.0,1.0,28.0,92.0,3.35,76.0,0.0,3.0,7.0,5.0,17.0,0.62,14.0,0.0,0.0,2.0,1.0,0.0,14.0,8.0,7.0,4.0,3.0,8.0,25.0,32.0,17.0,22.0,5.0,17.0,4.0,35.0,0.0,1139.0,49.0,121.0,503.0,524.0,178.0,1139.0,17.0,41.0,41.5,614.0,47.0,26.0,23.0,891.0,78.0,31.0,0.0,27.0,39.0,5.0,2.0,0.0,0.0,81.0,84.0,74.0,53.2
-Tyronne Ebuehi,ng NGA,DF,Venezia,25,1995,19.0,12.0,1138.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.06,0.06,12.6,1.0,0.0,14.3,0.08,0.0,0.0,0.11,-0.8,-0.8,392.0,506.0,77.5,6438.0,2173.0,193.0,225.0,85.8,158.0,197.0,80.2,30.0,48.0,62.5,5.0,16.0,9.0,5.0,29.0,407.0,99.0,5.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,94.0,0.0,20.0,19.0,1.5,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,12.0,16.0,8.0,4.0,10.0,18.0,55.6,8.0,13.0,3.0,10.0,16.0,38.0,1.0,655.0,50.0,279.0,225.0,158.0,16.0,655.0,11.0,20.0,55.0,293.0,29.0,20.0,3.0,330.0,15.0,5.0,0.0,22.0,4.0,1.0,0.0,0.0,0.0,61.0,15.0,18.0,45.5
-Éderson,br BRA,MF,Salernitana,22,1999,15.0,13.0,1147.0,2.0,1.0,0.0,0.0,5.0,0.0,0.16,0.08,0.24,0.16,0.24,2.3,2.3,0.18,0.18,12.7,9.0,0.0,42.9,0.71,0.1,0.22,0.11,-0.3,-0.3,297.0,370.0,80.3,4681.0,1156.0,152.0,177.0,85.9,110.0,126.0,87.3,21.0,30.0,70.0,9.0,31.0,6.0,0.0,34.0,366.0,3.0,3.0,1.0,9.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,13.0,31.0,2.43,21.0,0.0,0.0,2.0,7.0,2.0,0.16,1.0,0.0,0.0,0.0,1.0,0.0,29.0,18.0,11.0,14.0,4.0,14.0,26.0,53.8,12.0,11.0,2.0,9.0,19.0,8.0,0.0,547.0,21.0,122.0,293.0,145.0,26.0,547.0,19.0,38.0,50.0,341.0,25.0,27.0,4.0,353.0,24.0,17.0,0.0,18.0,34.0,1.0,0.0,0.0,0.0,62.0,11.0,17.0,39.3
-Albin Ekdal,se SWE,MF,Sampdoria,32,1989,26.0,19.0,1637.0,1.0,0.0,0.0,0.0,11.0,1.0,0.05,0.0,0.05,0.05,0.05,1.3,1.3,0.07,0.07,18.2,2.0,0.0,14.3,0.11,0.07,0.5,0.09,-0.3,-0.3,589.0,747.0,78.8,9577.0,2870.0,298.0,358.0,83.2,225.0,268.0,84.0,50.0,77.0,64.9,7.0,48.0,5.0,0.0,62.0,692.0,53.0,51.0,2.0,4.0,2.0,0.0,0.0,0.0,0.0,2.0,2.0,14.0,19.0,1.05,14.0,0.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,28.0,17.0,21.0,5.0,26.0,56.0,46.4,30.0,27.0,7.0,20.0,29.0,25.0,0.0,941.0,51.0,279.0,547.0,126.0,24.0,941.0,15.0,23.0,65.2,455.0,10.0,11.0,1.0,511.0,13.0,11.0,1.0,31.0,39.0,0.0,0.0,0.0,0.0,144.0,24.0,17.0,58.5
-Caleb Ekuban,gh GHA,"FW,MF",Genoa,27,1994,30.0,18.0,1716.0,1.0,2.0,0.0,0.0,2.0,0.0,0.05,0.1,0.16,0.05,0.16,4.1,4.1,0.21,0.21,19.1,7.0,0.0,18.4,0.37,0.03,0.14,0.11,-3.1,-3.1,297.0,431.0,68.9,3795.0,826.0,197.0,258.0,76.4,71.0,97.0,73.2,11.0,17.0,64.7,16.0,16.0,10.0,1.0,31.0,413.0,18.0,1.0,2.0,2.0,13.0,0.0,0.0,0.0,0.0,2.0,0.0,17.0,38.0,1.99,28.0,0.0,3.0,3.0,4.0,5.0,0.26,3.0,0.0,2.0,0.0,0.0,0.0,19.0,12.0,2.0,12.0,5.0,7.0,23.0,30.4,16.0,19.0,5.0,14.0,9.0,6.0,0.0,687.0,16.0,70.0,327.0,299.0,83.0,687.0,26.0,52.0,50.0,394.0,31.0,17.0,21.0,483.0,73.0,38.0,0.0,22.0,32.0,2.0,0.0,0.0,0.0,78.0,36.0,51.0,41.4
-Elif Elmas,mk MKD,"FW,MF",Napoli,21,1999,37.0,12.0,1620.0,3.0,4.0,0.0,0.0,3.0,0.0,0.17,0.22,0.39,0.17,0.39,2.9,2.9,0.16,0.16,18.0,11.0,0.0,33.3,0.61,0.09,0.27,0.09,0.1,0.1,705.0,817.0,86.3,8943.0,1883.0,473.0,514.0,92.0,160.0,180.0,88.9,28.0,45.0,62.2,24.0,54.0,17.0,0.0,53.0,784.0,28.0,5.0,3.0,2.0,10.0,9.0,4.0,1.0,0.0,7.0,5.0,17.0,59.0,3.28,42.0,2.0,5.0,4.0,3.0,9.0,0.5,6.0,1.0,0.0,0.0,1.0,1.0,25.0,15.0,10.0,10.0,5.0,12.0,28.0,42.9,16.0,13.0,2.0,11.0,8.0,17.0,0.0,986.0,27.0,115.0,512.0,370.0,50.0,986.0,24.0,35.0,68.6,669.0,59.0,45.0,19.0,804.0,23.0,23.0,0.0,27.0,30.0,2.0,1.0,0.0,0.0,64.0,7.0,22.0,24.1
-Martin Erlic,hr CRO,DF,Spezia,23,1998,30.0,30.0,2576.0,2.0,0.0,0.0,0.0,5.0,0.0,0.07,0.0,0.07,0.07,0.07,2.9,2.9,0.1,0.1,28.6,3.0,0.0,20.0,0.1,0.13,0.67,0.2,-0.9,-0.9,882.0,1101.0,80.1,18586.0,6448.0,256.0,297.0,86.2,490.0,554.0,88.4,132.0,226.0,58.4,5.0,34.0,1.0,0.0,32.0,1036.0,60.0,56.0,2.0,12.0,2.0,0.0,0.0,0.0,0.0,1.0,5.0,8.0,11.0,0.38,7.0,0.0,0.0,1.0,3.0,2.0,0.07,0.0,0.0,0.0,1.0,1.0,0.0,28.0,16.0,18.0,10.0,0.0,10.0,18.0,55.6,8.0,54.0,39.0,15.0,28.0,122.0,1.0,1383.0,265.0,887.0,463.0,40.0,30.0,1383.0,3.0,4.0,75.0,662.0,6.0,5.0,0.0,751.0,14.0,2.0,0.0,28.0,20.0,0.0,2.0,2.0,0.0,134.0,55.0,40.0,57.9
-Gonzalo Escalante,ar ARG,MF,Lazio,28,1993,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,80.0,79.0,8.0,1.0,1.0,100.0,2.0,3.0,66.7,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,10.0,2.0,6.0,3.0,1.0,0.0,10.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Diego Falcinelli,it ITA,FW,Bologna,30,1991,6.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.71,0.71,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.5,-0.5,13.0,22.0,59.1,185.0,11.0,9.0,17.0,52.9,1.0,1.0,100.0,2.0,2.0,100.0,0.0,0.0,1.0,0.0,2.0,21.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.36,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,45.0,1.0,5.0,17.0,24.0,9.0,45.0,2.0,4.0,50.0,26.0,1.0,1.0,0.0,33.0,6.0,3.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,5.0,5.0,6.0,45.5
-Wladimiro Falcone,it ITA,GK,Sampdoria,26,1995,10.0,9.0,855.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,260.0,359.0,72.4,7566.0,5437.0,54.0,55.0,98.2,98.0,100.0,98.0,106.0,201.0,52.7,0.0,2.0,0.0,0.0,0.0,261.0,97.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,389.0,355.0,387.0,1.0,1.0,0.0,389.0,0.0,0.0,0.0,226.0,0.0,0.0,0.0,179.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,3.0,0.0,100.0
-Paolo Faragò,it ITA,MF,Cagliari,28,1993,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,1.57,1.57,0.2,1.0,0.0,50.0,5.63,0.0,0.0,0.14,-0.3,-0.3,6.0,8.0,75.0,78.0,3.0,4.0,5.0,80.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,15.0,0.0,5.0,5.0,7.0,3.0,15.0,1.0,1.0,100.0,7.0,1.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
-Davide Faraoni,it ITA,DF,Hellas Verona,29,1991,32.0,30.0,2572.0,4.0,5.0,0.0,0.0,8.0,1.0,0.14,0.17,0.31,0.14,0.31,3.2,3.2,0.11,0.11,28.6,9.0,0.0,30.0,0.31,0.13,0.44,0.11,0.8,0.8,923.0,1359.0,67.9,16038.0,7594.0,459.0,559.0,82.1,330.0,459.0,71.9,111.0,241.0,46.1,20.0,83.0,48.0,16.0,123.0,1058.0,289.0,13.0,3.0,16.0,82.0,0.0,0.0,0.0,0.0,276.0,12.0,33.0,47.0,1.64,35.0,3.0,1.0,5.0,3.0,8.0,0.28,7.0,0.0,0.0,1.0,0.0,0.0,62.0,40.0,38.0,21.0,3.0,29.0,62.0,46.8,33.0,38.0,5.0,33.0,23.0,62.0,1.0,1715.0,94.0,440.0,784.0,503.0,55.0,1715.0,12.0,40.0,30.0,714.0,31.0,19.0,6.0,891.0,50.0,14.0,1.0,27.0,34.0,5.0,0.0,1.0,0.0,193.0,45.0,50.0,47.4
-Mohamed Fares,dz ALG,"DF,FW",Genoa,25,1996,9.0,6.0,587.0,2.0,1.0,0.0,0.0,2.0,0.0,0.31,0.15,0.46,0.31,0.46,1.3,1.3,0.19,0.19,6.5,3.0,0.0,23.1,0.46,0.15,0.67,0.1,0.7,0.7,177.0,257.0,68.9,2955.0,1077.0,108.0,134.0,80.6,45.0,69.0,65.2,22.0,36.0,61.1,5.0,10.0,10.0,6.0,15.0,204.0,48.0,4.0,1.0,2.0,24.0,0.0,0.0,0.0,0.0,44.0,5.0,8.0,21.0,3.23,13.0,3.0,0.0,4.0,1.0,3.0,0.46,3.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,3.0,0.0,0.0,4.0,0.0,4.0,8.0,3.0,5.0,8.0,11.0,0.0,331.0,9.0,82.0,141.0,114.0,16.0,331.0,9.0,16.0,56.3,173.0,16.0,12.0,1.0,187.0,10.0,10.0,0.0,10.0,6.0,0.0,0.0,0.0,0.0,43.0,9.0,14.0,39.1
-Diego Farias,br BRA,"MF,FW",Cagliari,31,1990,4.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,29.0,35.0,82.9,473.0,51.0,14.0,16.0,87.5,11.0,13.0,84.6,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,34.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,3.0,33.3,2.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,2.0,15.0,21.0,1.0,38.0,1.0,1.0,100.0,25.0,2.0,0.0,1.0,28.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,33.3
-Andrea Favilli,it ITA,FW,Genoa,24,1997,1.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,57.0,0.0,5.0,6.0,83.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,11.0,2.0,3.0,4.0,4.0,2.0,11.0,0.0,0.0,0.0,8.0,0.0,0.0,1.0,8.0,3.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Federico Fazio,ar ARG,DF,Salernitana,34,1987,16.0,16.0,1434.0,1.0,0.0,0.0,0.0,3.0,1.0,0.06,0.0,0.06,0.06,0.06,1.6,1.6,0.1,0.1,15.9,3.0,0.0,18.8,0.19,0.06,0.33,0.1,-0.6,-0.6,511.0,633.0,80.7,9321.0,3677.0,206.0,231.0,89.2,249.0,299.0,83.3,47.0,80.0,58.8,8.0,32.0,4.0,2.0,40.0,580.0,51.0,34.0,1.0,4.0,6.0,0.0,0.0,0.0,0.0,17.0,2.0,6.0,17.0,1.07,13.0,0.0,2.0,2.0,0.0,2.0,0.13,1.0,0.0,0.0,1.0,0.0,0.0,17.0,11.0,10.0,6.0,1.0,9.0,12.0,75.0,3.0,21.0,16.0,5.0,27.0,67.0,1.0,817.0,107.0,347.0,403.0,77.0,27.0,817.0,9.0,11.0,81.8,361.0,19.0,16.0,4.0,418.0,12.0,3.0,1.0,16.0,15.0,1.0,0.0,2.0,0.0,84.0,54.0,22.0,71.1
-Luiz Felipe,it ITA,DF,Lazio,24,1997,31.0,28.0,2491.0,0.0,0.0,0.0,0.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,27.7,1.0,0.0,20.0,0.04,0.0,0.0,0.09,-0.4,-0.4,1668.0,1825.0,91.4,29597.0,11624.0,649.0,696.0,93.2,821.0,868.0,94.6,135.0,175.0,77.1,3.0,92.0,4.0,1.0,78.0,1757.0,65.0,51.0,1.0,11.0,2.0,0.0,0.0,0.0,0.0,11.0,3.0,10.0,14.0,0.51,12.0,0.0,0.0,0.0,1.0,1.0,0.04,0.0,0.0,0.0,0.0,1.0,0.0,41.0,23.0,21.0,16.0,4.0,20.0,34.0,58.8,14.0,40.0,33.0,7.0,33.0,102.0,1.0,2079.0,282.0,1046.0,997.0,44.0,10.0,2079.0,6.0,6.0,100.0,1215.0,12.0,9.0,0.0,1499.0,9.0,6.0,0.0,28.0,16.0,0.0,1.0,0.0,0.0,133.0,43.0,42.0,50.6
-Alex Ferrari,it ITA,DF,Sampdoria,27,1994,23.0,20.0,1643.0,1.0,0.0,0.0,0.0,4.0,0.0,0.05,0.0,0.05,0.05,0.05,0.5,0.5,0.03,0.03,18.3,1.0,0.0,25.0,0.05,0.25,1.0,0.12,0.5,0.5,683.0,823.0,83.0,13341.0,4623.0,197.0,229.0,86.0,418.0,456.0,91.7,59.0,108.0,54.6,2.0,37.0,3.0,1.0,39.0,749.0,72.0,47.0,1.0,2.0,7.0,0.0,0.0,0.0,0.0,23.0,2.0,13.0,10.0,0.55,8.0,1.0,0.0,1.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,40.0,22.0,28.0,9.0,3.0,19.0,33.0,57.6,14.0,31.0,22.0,9.0,39.0,63.0,1.0,1032.0,142.0,571.0,431.0,36.0,4.0,1032.0,4.0,14.0,28.6,544.0,7.0,7.0,1.0,581.0,10.0,3.0,0.0,29.0,24.0,0.0,0.0,1.0,0.0,109.0,23.0,21.0,52.3
-Salvador Ferrer,es ESP,"DF,MF",Spezia,23,1998,27.0,14.0,1495.0,0.0,3.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.3,0.3,0.02,0.02,16.6,1.0,0.0,16.7,0.06,0.0,0.0,0.05,-0.3,-0.3,573.0,763.0,75.1,10266.0,3534.0,242.0,293.0,82.6,258.0,324.0,79.6,62.0,103.0,60.2,15.0,50.0,16.0,11.0,67.0,640.0,121.0,9.0,0.0,4.0,44.0,3.0,1.0,2.0,0.0,109.0,2.0,15.0,31.0,1.87,25.0,4.0,1.0,0.0,0.0,4.0,0.24,3.0,0.0,0.0,0.0,0.0,1.0,32.0,18.0,15.0,9.0,8.0,12.0,25.0,48.0,13.0,24.0,12.0,12.0,18.0,46.0,0.0,927.0,71.0,305.0,428.0,199.0,8.0,927.0,8.0,12.0,66.7,419.0,24.0,18.0,2.0,484.0,11.0,10.0,0.0,13.0,10.0,0.0,0.0,0.0,0.0,82.0,34.0,23.0,59.6
-Riccardo Fiamozzi,it ITA,DF,Empoli,28,1993,10.0,7.0,620.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.15,0.15,0.0,0.15,0.0,0.0,0.0,0.0,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,291.0,387.0,75.2,5066.0,2188.0,134.0,155.0,86.5,105.0,133.0,78.9,36.0,61.0,59.0,6.0,23.0,6.0,3.0,23.0,302.0,85.0,6.0,0.0,6.0,11.0,0.0,0.0,0.0,0.0,79.0,0.0,15.0,9.0,1.3,5.0,3.0,0.0,0.0,0.0,2.0,0.29,1.0,1.0,0.0,0.0,0.0,0.0,7.0,5.0,2.0,2.0,3.0,2.0,4.0,50.0,2.0,6.0,5.0,1.0,7.0,12.0,0.0,438.0,21.0,143.0,210.0,87.0,2.0,438.0,3.0,7.0,42.9,201.0,10.0,11.0,0.0,237.0,4.0,4.0,0.0,3.0,7.0,0.0,0.0,1.0,0.0,42.0,4.0,6.0,40.0
-Luca Fiordilino,it ITA,MF,Venezia,25,1996,15.0,5.0,661.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.04,0.04,7.3,1.0,0.0,33.3,0.14,0.0,0.0,0.09,-0.3,-0.3,260.0,307.0,84.7,4177.0,1037.0,129.0,144.0,89.6,90.0,97.0,92.8,25.0,34.0,73.5,6.0,19.0,4.0,4.0,23.0,298.0,8.0,5.0,0.0,3.0,9.0,1.0,0.0,0.0,0.0,0.0,1.0,10.0,15.0,2.04,13.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,11.0,6.0,4.0,13.0,27.0,48.1,14.0,14.0,4.0,10.0,11.0,12.0,0.0,387.0,23.0,128.0,203.0,61.0,10.0,387.0,3.0,5.0,60.0,206.0,3.0,3.0,1.0,246.0,10.0,8.0,0.0,5.0,10.0,2.0,0.0,0.0,0.0,50.0,9.0,3.0,75.0
-Vincenzo Fiorillo,it ITA,GK,Salernitana,31,1990,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,31.0,74.2,897.0,732.0,0.0,0.0,0.0,8.0,8.0,100.0,15.0,23.0,65.2,0.0,0.0,0.0,0.0,0.0,19.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,35.0,33.0,35.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Alessandro Florenzi,it ITA,"DF,FW",Milan,30,1991,24.0,12.0,1152.0,2.0,0.0,0.0,0.0,2.0,0.0,0.16,0.0,0.16,0.16,0.16,0.8,0.8,0.07,0.07,12.8,6.0,2.0,27.3,0.47,0.09,0.33,0.04,1.2,1.2,646.0,812.0,79.6,11893.0,3909.0,290.0,316.0,91.8,261.0,302.0,86.4,82.0,151.0,54.3,11.0,62.0,21.0,8.0,68.0,686.0,121.0,23.0,4.0,11.0,56.0,19.0,9.0,5.0,0.0,79.0,5.0,17.0,34.0,2.65,25.0,6.0,0.0,1.0,1.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,28.0,14.0,14.0,7.0,7.0,14.0,32.0,43.8,18.0,9.0,2.0,7.0,27.0,10.0,1.0,925.0,31.0,223.0,496.0,217.0,20.0,925.0,8.0,10.0,80.0,493.0,30.0,16.0,4.0,584.0,11.0,1.0,0.0,10.0,8.0,3.0,0.0,0.0,0.0,79.0,9.0,9.0,50.0
-Fernando Forestieri,it ITA,"FW,MF",Udinese,31,1990,4.0,0.0,58.0,2.0,1.0,0.0,0.0,1.0,0.0,3.1,1.55,4.66,3.1,4.66,1.2,1.2,1.91,1.91,0.6,2.0,1.0,66.7,3.1,0.67,1.0,0.4,0.8,0.8,18.0,24.0,75.0,224.0,91.0,12.0,12.0,100.0,3.0,6.0,50.0,1.0,3.0,33.3,1.0,2.0,2.0,1.0,3.0,20.0,4.0,1.0,0.0,0.0,4.0,1.0,1.0,0.0,0.0,2.0,0.0,1.0,4.0,6.32,1.0,1.0,0.0,0.0,2.0,1.0,1.58,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,33.0,1.0,4.0,9.0,20.0,4.0,33.0,1.0,1.0,100.0,16.0,2.0,2.0,0.0,21.0,2.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0
-Francesco Forte,it ITA,FW,Venezia,28,1993,12.0,4.0,422.0,1.0,0.0,0.0,0.0,3.0,0.0,0.21,0.0,0.21,0.21,0.21,1.2,1.2,0.27,0.27,4.7,2.0,0.0,18.2,0.43,0.09,0.5,0.11,-0.2,-0.2,52.0,75.0,69.3,672.0,159.0,31.0,42.0,73.8,19.0,27.0,70.4,0.0,1.0,0.0,4.0,2.0,3.0,0.0,7.0,71.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,1.79,5.0,0.0,0.0,2.0,0.0,1.0,0.22,1.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,2.0,1.0,2.0,5.0,40.0,3.0,1.0,0.0,1.0,0.0,2.0,0.0,118.0,2.0,10.0,62.0,49.0,19.0,118.0,1.0,1.0,100.0,46.0,3.0,3.0,1.0,82.0,13.0,2.0,0.0,11.0,7.0,2.0,0.0,0.0,0.0,14.0,18.0,16.0,52.9
-Gianluca Frabotta,it ITA,"DF,MF",Hellas Verona,22,1999,2.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,10.0,40.0,53.0,31.0,1.0,4.0,25.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,12.0,1.0,1.0,5.0,6.0,1.0,12.0,0.0,0.0,0.0,4.0,1.0,1.0,0.0,6.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,33.3
-Davide Frattesi,it ITA,MF,Sassuolo,21,1999,36.0,35.0,2854.0,4.0,3.0,0.0,0.0,6.0,0.0,0.13,0.09,0.22,0.13,0.22,6.6,6.6,0.21,0.21,31.7,20.0,0.0,29.9,0.63,0.06,0.2,0.1,-2.6,-2.6,1035.0,1249.0,82.9,15946.0,3992.0,565.0,644.0,87.7,369.0,420.0,87.9,61.0,88.0,69.3,30.0,86.0,21.0,3.0,113.0,1216.0,29.0,22.0,5.0,12.0,14.0,0.0,0.0,0.0,0.0,7.0,4.0,33.0,88.0,2.77,67.0,1.0,8.0,7.0,5.0,8.0,0.25,4.0,0.0,1.0,1.0,2.0,0.0,46.0,16.0,26.0,18.0,2.0,26.0,52.0,50.0,26.0,44.0,12.0,32.0,29.0,62.0,1.0,1642.0,103.0,376.0,880.0,419.0,86.0,1642.0,42.0,64.0,65.6,923.0,79.0,61.0,20.0,1186.0,59.0,22.0,0.0,46.0,57.0,0.0,2.0,1.0,1.0,143.0,26.0,40.0,39.4
-Morten Frendrup,dk DEN,"DF,MF",Genoa,20,2001,10.0,6.0,695.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.07,0.07,7.7,2.0,0.0,50.0,0.26,0.0,0.0,0.14,-0.6,-0.6,239.0,349.0,68.5,3865.0,1541.0,114.0,141.0,80.9,92.0,127.0,72.4,21.0,44.0,47.7,4.0,22.0,4.0,2.0,25.0,277.0,72.0,3.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,69.0,0.0,14.0,14.0,1.81,9.0,0.0,1.0,1.0,0.0,2.0,0.26,1.0,0.0,0.0,0.0,0.0,1.0,40.0,24.0,19.0,13.0,8.0,13.0,29.0,44.8,16.0,19.0,2.0,17.0,17.0,7.0,1.0,461.0,13.0,120.0,246.0,99.0,5.0,461.0,3.0,5.0,60.0,170.0,13.0,8.0,2.0,162.0,15.0,3.0,0.0,10.0,4.0,0.0,0.0,0.0,0.0,70.0,12.0,10.0,54.5
-Remo Freuler,ch SUI,MF,Atalanta,29,1992,29.0,28.0,2369.0,1.0,3.0,0.0,0.0,10.0,0.0,0.04,0.11,0.15,0.04,0.15,1.5,1.5,0.06,0.06,26.3,6.0,0.0,30.0,0.23,0.05,0.17,0.08,-0.5,-0.5,1486.0,1728.0,86.0,23572.0,7197.0,728.0,796.0,91.5,621.0,697.0,89.1,85.0,131.0,64.9,23.0,178.0,38.0,4.0,208.0,1644.0,79.0,64.0,2.0,13.0,25.0,1.0,0.0,0.0,0.0,14.0,5.0,25.0,71.0,2.7,61.0,5.0,1.0,2.0,1.0,6.0,0.23,5.0,1.0,0.0,0.0,0.0,0.0,69.0,39.0,22.0,33.0,14.0,30.0,70.0,42.9,40.0,48.0,8.0,40.0,35.0,26.0,1.0,2036.0,55.0,343.0,1162.0,546.0,37.0,2036.0,20.0,35.0,57.1,1187.0,52.0,52.0,7.0,1423.0,40.0,24.0,0.0,43.0,28.0,0.0,0.0,1.0,1.0,186.0,20.0,24.0,45.5
-Matteo Gabbia,it ITA,DF,Milan,21,1999,8.0,6.0,537.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,377.0,437.0,86.3,7780.0,2598.0,104.0,119.0,87.4,211.0,227.0,93.0,59.0,84.0,70.2,1.0,21.0,2.0,0.0,22.0,417.0,19.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,0.5,3.0,0.0,0.0,0.0,0.0,2.0,0.34,2.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,3.0,0.0,0.0,4.0,0.0,4.0,2.0,2.0,0.0,8.0,12.0,0.0,471.0,50.0,256.0,208.0,9.0,6.0,471.0,0.0,0.0,0.0,289.0,3.0,0.0,0.0,344.0,2.0,0.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,25.0,13.0,8.0,61.9
-Manolo Gabbiadini,it ITA,"FW,MF",Sampdoria,29,1991,18.0,15.0,1140.0,6.0,2.0,0.0,0.0,3.0,0.0,0.47,0.16,0.63,0.47,0.63,4.5,4.5,0.36,0.36,12.7,20.0,3.0,45.5,1.58,0.14,0.3,0.1,1.5,1.5,213.0,338.0,63.0,2869.0,943.0,129.0,167.0,77.2,58.0,93.0,62.4,11.0,38.0,28.9,17.0,20.0,11.0,4.0,29.0,313.0,23.0,4.0,3.0,1.0,24.0,11.0,3.0,4.0,0.0,3.0,2.0,13.0,37.0,2.92,23.0,4.0,0.0,8.0,2.0,4.0,0.32,2.0,0.0,0.0,2.0,0.0,0.0,6.0,4.0,3.0,2.0,1.0,1.0,7.0,14.3,6.0,5.0,2.0,3.0,3.0,10.0,0.0,465.0,14.0,53.0,220.0,193.0,32.0,465.0,4.0,10.0,40.0,270.0,13.0,9.0,3.0,342.0,29.0,16.0,0.0,12.0,16.0,6.0,0.0,0.0,0.0,37.0,16.0,32.0,33.3
-Gianluca Gaetano,it ITA,MF,Napoli,21,2000,2.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,113.0,31.0,6.0,7.0,85.7,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,16.0,0.0,5.0,8.0,3.0,0.0,16.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,50.0
-Luca Gagliano,it ITA,"FW,DF",Cagliari,21,2000,2.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,6.0,50.0,51.0,5.0,1.0,1.0,100.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,9.0,1.0,2.0,4.0,3.0,1.0,9.0,0.0,1.0,0.0,5.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,0.0
-Roberto Gagliardini,it ITA,MF,Inter,27,1994,18.0,6.0,649.0,2.0,2.0,0.0,0.0,2.0,0.0,0.28,0.28,0.55,0.28,0.55,1.0,1.0,0.14,0.14,7.2,4.0,0.0,50.0,0.55,0.25,0.5,0.13,1.0,1.0,285.0,336.0,84.8,4261.0,1080.0,167.0,186.0,89.8,99.0,113.0,87.6,13.0,22.0,59.1,6.0,27.0,3.0,0.0,33.0,330.0,5.0,3.0,1.0,2.0,5.0,0.0,0.0,0.0,0.0,2.0,1.0,7.0,17.0,2.37,14.0,0.0,0.0,2.0,1.0,2.0,0.28,2.0,0.0,0.0,0.0,0.0,0.0,12.0,6.0,7.0,4.0,1.0,1.0,13.0,7.7,12.0,14.0,5.0,9.0,9.0,7.0,0.0,423.0,14.0,78.0,218.0,130.0,18.0,423.0,3.0,7.0,42.9,228.0,8.0,9.0,1.0,296.0,13.0,7.0,0.0,24.0,16.0,0.0,0.0,0.0,0.0,40.0,14.0,14.0,50.0
-Riccardo Gagliolo,se SWE,DF,Salernitana,31,1990,17.0,12.0,1138.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.08,0.08,0.0,0.08,0.5,0.5,0.04,0.04,12.6,1.0,0.0,12.5,0.08,0.0,0.0,0.06,-0.5,-0.5,392.0,510.0,76.9,7567.0,3287.0,134.0,166.0,80.7,199.0,239.0,83.3,50.0,82.0,61.0,2.0,37.0,3.0,3.0,46.0,463.0,45.0,20.0,0.0,2.0,15.0,0.0,0.0,0.0,0.0,25.0,2.0,9.0,7.0,0.55,3.0,1.0,0.0,2.0,0.0,1.0,0.08,0.0,0.0,0.0,1.0,0.0,0.0,23.0,12.0,16.0,4.0,3.0,16.0,27.0,59.3,11.0,15.0,8.0,7.0,28.0,52.0,0.0,651.0,83.0,315.0,283.0,63.0,11.0,651.0,4.0,6.0,66.7,318.0,10.0,4.0,0.0,318.0,6.0,3.0,0.0,8.0,12.0,0.0,0.0,0.0,0.0,68.0,14.0,11.0,56.0
-Nicolas Galazzi,it ITA,MF,Venezia,20,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,62.5,68.0,14.0,2.0,3.0,66.7,3.0,4.0,75.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,1.0,1.0,10.0,1.0,12.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,7.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Pablo Galdames Millán,cl CHI,MF,Genoa,24,1996,19.0,11.0,1028.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,11.4,3.0,0.0,25.0,0.26,0.0,0.0,0.05,-0.6,-0.6,324.0,443.0,73.1,5772.0,2027.0,142.0,172.0,82.6,130.0,168.0,77.4,41.0,74.0,55.4,13.0,26.0,9.0,3.0,45.0,403.0,38.0,25.0,1.0,7.0,31.0,8.0,2.0,5.0,1.0,4.0,2.0,7.0,30.0,2.62,15.0,8.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,12.0,6.0,16.0,6.0,12.0,35.0,34.3,23.0,16.0,2.0,14.0,8.0,9.0,1.0,568.0,19.0,99.0,334.0,139.0,13.0,568.0,7.0,15.0,46.7,293.0,4.0,4.0,0.0,325.0,10.0,17.0,0.0,20.0,11.0,3.0,0.0,0.0,0.0,78.0,6.0,15.0,28.6
-Luca Gemello,it ITA,GK,Torino,21,2000,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,35.0,40.0,495.0,422.0,1.0,1.0,100.0,6.0,6.0,100.0,7.0,27.0,25.9,0.0,3.0,0.0,0.0,0.0,30.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,27.0,37.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Paolo Ghiglione,it ITA,DF,Genoa,24,1997,13.0,6.0,603.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.15,0.15,0.0,0.15,0.8,0.8,0.13,0.13,6.7,4.0,0.0,50.0,0.6,0.0,0.0,0.11,-0.8,-0.8,212.0,343.0,61.8,3539.0,1560.0,104.0,118.0,88.1,75.0,119.0,63.0,25.0,72.0,34.7,8.0,14.0,10.0,9.0,20.0,257.0,83.0,4.0,0.0,1.0,37.0,6.0,2.0,2.0,0.0,73.0,3.0,15.0,12.0,1.79,5.0,3.0,1.0,3.0,0.0,2.0,0.3,2.0,0.0,0.0,0.0,0.0,0.0,17.0,12.0,8.0,6.0,3.0,9.0,14.0,64.3,5.0,11.0,5.0,6.0,10.0,12.0,1.0,440.0,29.0,124.0,201.0,120.0,7.0,440.0,9.0,16.0,56.3,206.0,13.0,11.0,1.0,220.0,18.0,3.0,0.0,11.0,3.0,0.0,0.0,0.0,0.0,33.0,7.0,8.0,46.7
-Faouzi Ghoulam,dz ALG,DF,Napoli,30,1991,14.0,3.0,332.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.7,1.0,2.0,33.3,0.27,0.0,0.0,0.04,-0.1,-0.1,229.0,280.0,81.8,3403.0,1029.0,126.0,134.0,94.0,72.0,86.0,83.7,14.0,36.0,38.9,7.0,24.0,4.0,1.0,19.0,243.0,37.0,10.0,0.0,0.0,26.0,9.0,5.0,4.0,0.0,18.0,0.0,5.0,13.0,3.5,8.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,0.0,3.0,0.0,3.0,2.0,1.0,1.0,3.0,10.0,0.0,304.0,14.0,72.0,141.0,93.0,2.0,304.0,1.0,2.0,50.0,181.0,10.0,7.0,1.0,216.0,2.0,2.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,12.0,5.0,6.0,45.5
-Sebastian Giovinco,it ITA,MF,Sampdoria,34,1987,2.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08,0.08,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,7.0,13.0,53.8,134.0,22.0,4.0,4.0,100.0,1.0,2.0,50.0,2.0,3.0,66.7,0.0,1.0,0.0,0.0,3.0,11.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,6.0,11.0,1.0,17.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0,10.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Olivier Giroud,fr FRA,FW,Milan,34,1986,29.0,22.0,1892.0,11.0,3.0,2.0,2.0,4.0,0.0,0.52,0.14,0.67,0.43,0.57,11.6,10.0,0.55,0.48,21.0,22.0,2.0,36.1,1.05,0.15,0.41,0.16,-0.6,-1.0,321.0,480.0,66.9,3620.0,596.0,202.0,281.0,71.9,65.0,96.0,67.7,10.0,16.0,62.5,25.0,17.0,10.0,1.0,23.0,463.0,14.0,0.0,3.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,55.0,2.61,33.0,0.0,2.0,15.0,3.0,6.0,0.28,4.0,0.0,0.0,2.0,0.0,0.0,15.0,11.0,4.0,6.0,5.0,3.0,17.0,17.6,14.0,13.0,4.0,9.0,3.0,19.0,0.0,698.0,26.0,47.0,278.0,376.0,123.0,696.0,4.0,8.0,50.0,261.0,8.0,6.0,4.0,539.0,58.0,11.0,0.0,31.0,22.0,11.0,0.0,0.0,0.0,42.0,92.0,51.0,64.3
-Diego Godín,uy URU,DF,Cagliari,35,1986,11.0,9.0,818.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.11,0.11,0.0,0.11,0.5,0.5,0.06,0.06,9.1,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.5,-0.5,394.0,439.0,89.7,7917.0,3014.0,127.0,132.0,96.2,211.0,229.0,92.1,52.0,71.0,73.2,2.0,25.0,0.0,0.0,22.0,418.0,20.0,18.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,8.0,0.88,6.0,0.0,0.0,1.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,18.0,7.0,13.0,3.0,2.0,10.0,15.0,66.7,5.0,7.0,5.0,2.0,13.0,46.0,0.0,548.0,87.0,315.0,207.0,29.0,14.0,548.0,10.0,11.0,90.9,294.0,4.0,2.0,1.0,334.0,4.0,0.0,0.0,13.0,3.0,0.0,0.0,1.0,0.0,53.0,18.0,12.0,60.0
-Edoardo Goldaniga,it ITA,DF,Cagliari,27,1993,11.0,11.0,934.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.05,0.05,10.4,1.0,0.0,20.0,0.1,0.0,0.0,0.09,-0.5,-0.5,345.0,486.0,71.0,6682.0,3385.0,127.0,161.0,78.9,167.0,206.0,81.1,46.0,94.0,48.9,4.0,21.0,4.0,1.0,35.0,408.0,77.0,17.0,0.0,5.0,13.0,0.0,0.0,0.0,0.0,60.0,1.0,8.0,10.0,0.96,8.0,0.0,0.0,1.0,0.0,1.0,0.1,0.0,0.0,0.0,1.0,0.0,0.0,12.0,5.0,7.0,5.0,0.0,4.0,11.0,36.4,7.0,8.0,5.0,3.0,22.0,23.0,0.0,587.0,51.0,257.0,265.0,68.0,8.0,587.0,3.0,6.0,50.0,272.0,3.0,6.0,0.0,279.0,7.0,0.0,0.0,22.0,13.0,1.0,0.0,0.0,0.0,57.0,28.0,19.0,59.6
-Edoardo Goldaniga,it ITA,"DF,MF",Sassuolo,27,1993,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,20.0,19.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Cedric Gondo,ci CIV,FW,Salernitana,24,1996,14.0,10.0,699.0,1.0,0.0,0.0,0.0,1.0,0.0,0.13,0.0,0.13,0.13,0.13,1.7,1.7,0.22,0.22,7.8,8.0,0.0,42.1,1.03,0.05,0.13,0.09,-0.7,-0.7,119.0,167.0,71.3,1455.0,305.0,80.0,97.0,82.5,25.0,37.0,67.6,3.0,8.0,37.5,12.0,5.0,6.0,1.0,12.0,156.0,11.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,23.0,2.96,18.0,0.0,0.0,1.0,4.0,2.0,0.26,0.0,0.0,0.0,0.0,2.0,0.0,5.0,2.0,2.0,2.0,1.0,2.0,5.0,40.0,3.0,2.0,0.0,2.0,3.0,2.0,0.0,281.0,6.0,32.0,103.0,151.0,41.0,281.0,11.0,20.0,55.0,197.0,15.0,9.0,7.0,227.0,39.0,19.0,0.0,18.0,32.0,3.0,1.0,0.0,0.0,34.0,23.0,30.0,43.4
-Nicolás González,ar ARG,FW,Fiorentina,23,1998,33.0,26.0,2357.0,7.0,6.0,3.0,3.0,4.0,1.0,0.27,0.23,0.5,0.15,0.38,10.4,8.0,0.4,0.31,26.2,19.0,0.0,27.5,0.73,0.06,0.21,0.12,-3.4,-4.0,693.0,940.0,73.7,12669.0,2404.0,326.0,411.0,79.3,260.0,329.0,79.0,95.0,126.0,75.4,37.0,46.0,32.0,9.0,91.0,897.0,37.0,6.0,3.0,26.0,64.0,3.0,2.0,0.0,0.0,27.0,6.0,27.0,95.0,3.63,58.0,2.0,7.0,10.0,17.0,14.0,0.53,6.0,0.0,1.0,1.0,5.0,1.0,21.0,16.0,6.0,8.0,7.0,9.0,28.0,32.1,19.0,26.0,2.0,24.0,21.0,4.0,1.0,1313.0,7.0,111.0,572.0,657.0,137.0,1310.0,57.0,115.0,49.6,867.0,97.0,80.0,37.0,1055.0,97.0,39.0,1.0,30.0,97.0,5.0,3.0,0.0,0.0,95.0,66.0,59.0,52.8
-Robin Gosens,de GER,DF,Atalanta,27,1994,6.0,5.0,460.0,1.0,0.0,0.0,0.0,2.0,0.0,0.2,0.0,0.2,0.2,0.2,2.0,2.0,0.38,0.38,5.1,4.0,0.0,26.7,0.78,0.07,0.25,0.13,-1.0,-1.0,212.0,261.0,81.2,3294.0,1266.0,121.0,134.0,90.3,76.0,94.0,80.9,12.0,20.0,60.0,6.0,13.0,6.0,2.0,28.0,221.0,39.0,1.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,38.0,1.0,2.0,12.0,2.35,8.0,0.0,0.0,2.0,2.0,1.0,0.2,0.0,0.0,0.0,0.0,1.0,0.0,7.0,3.0,3.0,4.0,0.0,4.0,8.0,50.0,4.0,4.0,0.0,4.0,9.0,1.0,0.0,310.0,9.0,62.0,143.0,105.0,22.0,310.0,0.0,3.0,0.0,161.0,8.0,5.0,3.0,196.0,6.0,1.0,0.0,3.0,5.0,1.0,1.0,0.0,0.0,22.0,12.0,4.0,75.0
-Robin Gosens,de GER,DF,Inter,27,1994,7.0,0.0,169.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.53,0.53,0.0,0.53,0.3,0.3,0.13,0.13,1.9,1.0,0.0,25.0,0.53,0.0,0.0,0.06,-0.3,-0.3,83.0,107.0,77.6,1261.0,381.0,51.0,57.0,89.5,28.0,37.0,75.7,4.0,9.0,44.4,2.0,8.0,1.0,1.0,7.0,97.0,9.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,9.0,1.0,3.0,6.0,3.21,5.0,0.0,0.0,1.0,0.0,1.0,0.54,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,3.0,3.0,0.0,128.0,8.0,30.0,55.0,45.0,9.0,128.0,0.0,1.0,0.0,55.0,4.0,3.0,3.0,82.0,3.0,0.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,13.0,4.0,1.0,80.0
-Alberto Grassi,it ITA,MF,Cagliari,26,1995,30.0,26.0,2174.0,0.0,1.0,0.0,0.0,6.0,1.0,0.0,0.04,0.04,0.0,0.04,1.3,1.3,0.06,0.06,24.2,2.0,0.0,8.3,0.08,0.0,0.0,0.06,-1.3,-1.3,840.0,1041.0,80.7,14204.0,3411.0,382.0,451.0,84.7,378.0,438.0,86.3,54.0,94.0,57.4,15.0,65.0,6.0,1.0,76.0,998.0,37.0,35.0,2.0,5.0,5.0,1.0,1.0,0.0,0.0,1.0,6.0,16.0,41.0,1.7,29.0,2.0,0.0,4.0,4.0,3.0,0.12,2.0,0.0,0.0,1.0,0.0,0.0,47.0,26.0,13.0,30.0,4.0,16.0,38.0,42.1,22.0,27.0,9.0,18.0,63.0,33.0,1.0,1331.0,77.0,355.0,802.0,185.0,22.0,1331.0,18.0,27.0,66.7,682.0,13.0,13.0,0.0,751.0,27.0,16.0,1.0,28.0,60.0,1.0,0.0,0.0,0.0,176.0,54.0,28.0,65.9
-Koray Günter,de GER,DF,Hellas Verona,26,1994,30.0,29.0,2411.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,26.8,2.0,0.0,33.3,0.07,0.0,0.0,0.07,-0.4,-0.4,1035.0,1288.0,80.4,21659.0,9788.0,298.0,357.0,83.5,559.0,638.0,87.6,162.0,247.0,65.6,7.0,65.0,2.0,0.0,106.0,1213.0,70.0,43.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,9.0,15.0,0.56,13.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,18.0,19.0,11.0,2.0,16.0,32.0,50.0,16.0,27.0,21.0,6.0,69.0,110.0,1.0,1576.0,236.0,821.0,727.0,38.0,16.0,1576.0,3.0,5.0,60.0,736.0,10.0,7.0,1.0,722.0,15.0,2.0,0.0,42.0,16.0,1.0,0.0,2.0,1.0,197.0,90.0,54.0,62.5
-Albert Guðmundsson,is ISL,"FW,MF",Genoa,24,1997,12.0,6.0,607.0,1.0,0.0,0.0,0.0,3.0,0.0,0.15,0.0,0.15,0.15,0.15,1.2,1.2,0.18,0.18,6.7,1.0,0.0,11.1,0.15,0.11,1.0,0.13,-0.2,-0.2,155.0,239.0,64.9,2097.0,722.0,88.0,105.0,83.8,40.0,62.0,64.5,12.0,39.0,30.8,12.0,12.0,10.0,5.0,15.0,207.0,32.0,8.0,0.0,0.0,41.0,15.0,5.0,7.0,0.0,8.0,0.0,10.0,24.0,3.55,17.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,1.0,2.0,3.0,8.0,37.5,5.0,2.0,0.0,2.0,5.0,4.0,0.0,308.0,10.0,35.0,121.0,156.0,27.0,308.0,7.0,14.0,50.0,164.0,14.0,8.0,6.0,190.0,27.0,10.0,0.0,14.0,10.0,3.0,0.0,0.0,0.0,32.0,3.0,6.0,33.3
-Emmanuel Gyasi,gh GHA,"FW,MF",Spezia,27,1994,36.0,35.0,3035.0,6.0,0.0,0.0,0.0,10.0,0.0,0.18,0.0,0.18,0.18,0.18,5.7,5.7,0.17,0.17,33.7,13.0,0.0,34.2,0.39,0.16,0.46,0.15,0.3,0.3,765.0,939.0,81.5,9820.0,1991.0,496.0,560.0,88.6,205.0,245.0,83.7,19.0,30.0,63.3,22.0,24.0,15.0,3.0,42.0,900.0,37.0,5.0,2.0,1.0,23.0,0.0,0.0,0.0,0.0,17.0,2.0,34.0,59.0,1.75,48.0,0.0,4.0,3.0,3.0,6.0,0.18,5.0,0.0,0.0,1.0,0.0,0.0,47.0,30.0,31.0,9.0,7.0,21.0,41.0,51.2,20.0,22.0,4.0,18.0,16.0,43.0,1.0,1272.0,67.0,296.0,522.0,471.0,87.0,1272.0,33.0,55.0,60.0,767.0,44.0,38.0,17.0,865.0,81.0,52.0,0.0,48.0,51.0,21.0,0.0,1.0,1.0,153.0,33.0,67.0,33.0
-Norbert Gyömbér,sk SVK,DF,Salernitana,29,1992,31.0,30.0,2563.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.02,0.02,28.5,2.0,0.0,22.2,0.07,0.0,0.0,0.07,-0.7,-0.7,805.0,1058.0,76.1,15687.0,6323.0,274.0,320.0,85.6,404.0,493.0,81.9,112.0,211.0,53.1,7.0,59.0,8.0,5.0,66.0,944.0,112.0,36.0,0.0,2.0,19.0,0.0,0.0,0.0,0.0,75.0,2.0,8.0,20.0,0.7,15.0,1.0,0.0,2.0,1.0,1.0,0.04,0.0,1.0,0.0,0.0,0.0,0.0,53.0,32.0,40.0,11.0,2.0,33.0,50.0,66.0,17.0,38.0,24.0,14.0,44.0,126.0,1.0,1359.0,206.0,701.0,572.0,92.0,18.0,1359.0,2.0,3.0,66.7,619.0,5.0,2.0,0.0,678.0,13.0,6.0,0.0,48.0,15.0,0.0,0.0,1.0,0.0,124.0,40.0,22.0,64.5
-Nicolas Haas,ch SUI,MF,Empoli,25,1996,16.0,11.0,1001.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.6,0.6,0.05,0.05,11.1,2.0,0.0,28.6,0.18,0.0,0.0,0.08,-0.6,-0.6,351.0,459.0,76.5,5455.0,1771.0,189.0,215.0,87.9,122.0,151.0,80.8,26.0,50.0,52.0,13.0,33.0,11.0,1.0,57.0,444.0,9.0,3.0,1.0,2.0,15.0,1.0,0.0,0.0,0.0,5.0,6.0,14.0,32.0,2.87,31.0,0.0,0.0,1.0,0.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,0.0,35.0,22.0,15.0,10.0,10.0,17.0,39.0,43.6,22.0,24.0,4.0,20.0,9.0,17.0,1.0,594.0,27.0,126.0,293.0,179.0,17.0,594.0,2.0,9.0,22.2,325.0,8.0,9.0,3.0,374.0,18.0,8.0,0.0,18.0,11.0,1.0,0.0,0.0,0.0,74.0,5.0,15.0,25.0
-Samir Handanović,si SVN,GK,Inter,37,1984,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1074.0,1260.0,85.2,25784.0,18136.0,270.0,271.0,99.6,530.0,533.0,99.4,264.0,445.0,59.3,0.0,10.0,0.0,0.0,0.0,1081.0,179.0,37.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.14,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,0.0,6.0,3.0,1331.0,1193.0,1330.0,0.0,1.0,1.0,1331.0,0.0,0.0,0.0,866.0,0.0,0.0,0.0,815.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,36.0,4.0,0.0,100.0
-Ridgeciano Haps,sr SUR,DF,Venezia,28,1993,25.0,24.0,2056.0,1.0,1.0,0.0,0.0,6.0,0.0,0.04,0.04,0.09,0.04,0.09,0.6,0.6,0.03,0.03,22.8,2.0,0.0,18.2,0.09,0.09,0.5,0.06,0.4,0.4,638.0,858.0,74.4,10727.0,4400.0,310.0,354.0,87.6,249.0,326.0,76.4,59.0,112.0,52.7,13.0,37.0,10.0,6.0,59.0,683.0,172.0,3.0,0.0,3.0,34.0,0.0,0.0,0.0,0.0,169.0,3.0,24.0,31.0,1.36,22.0,3.0,2.0,0.0,4.0,2.0,0.09,1.0,1.0,0.0,0.0,0.0,0.0,36.0,20.0,26.0,4.0,6.0,11.0,21.0,52.4,10.0,34.0,12.0,22.0,29.0,57.0,1.0,1120.0,94.0,453.0,442.0,233.0,15.0,1120.0,16.0,22.0,72.7,522.0,30.0,35.0,2.0,534.0,34.0,4.0,0.0,22.0,43.0,2.0,1.0,1.0,0.0,124.0,24.0,20.0,54.5
-Abdou Harroui,nl NED,MF,Sassuolo,23,1998,22.0,3.0,452.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.13,0.13,5.0,2.0,0.0,15.4,0.4,0.0,0.0,0.05,-0.6,-0.6,252.0,292.0,86.3,4112.0,836.0,130.0,144.0,90.3,100.0,109.0,91.7,17.0,21.0,81.0,5.0,32.0,0.0,0.0,29.0,289.0,2.0,1.0,1.0,6.0,7.0,0.0,0.0,0.0,0.0,1.0,1.0,7.0,13.0,2.59,12.0,0.0,0.0,0.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,11.0,4.0,4.0,7.0,0.0,8.0,11.0,72.7,3.0,14.0,0.0,14.0,4.0,5.0,0.0,365.0,8.0,64.0,209.0,99.0,15.0,365.0,3.0,6.0,50.0,235.0,9.0,9.0,1.0,251.0,12.0,5.0,0.0,13.0,2.0,0.0,0.0,0.0,0.0,38.0,6.0,9.0,40.0
-Hans Hateboer,nl NED,"DF,MF",Atalanta,27,1994,21.0,16.0,1386.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,1.9,0.12,0.12,15.4,2.0,0.0,11.8,0.13,0.0,0.0,0.11,-1.9,-1.9,703.0,850.0,82.7,9952.0,3276.0,448.0,482.0,92.9,207.0,253.0,81.8,29.0,59.0,49.2,13.0,43.0,17.0,8.0,73.0,719.0,128.0,9.0,0.0,5.0,38.0,0.0,0.0,0.0,0.0,119.0,3.0,25.0,34.0,2.21,30.0,1.0,0.0,2.0,1.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,0.0,22.0,14.0,10.0,8.0,4.0,11.0,26.0,42.3,15.0,11.0,1.0,10.0,7.0,20.0,0.0,973.0,33.0,172.0,396.0,408.0,39.0,973.0,5.0,10.0,50.0,582.0,37.0,27.0,6.0,681.0,21.0,9.0,0.0,18.0,7.0,3.0,0.0,0.0,0.0,66.0,22.0,23.0,48.9
-Silvan Hefti,ch SUI,DF,Genoa,23,1997,16.0,14.0,1288.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,14.3,1.0,0.0,20.0,0.07,0.0,0.0,0.05,-0.3,-0.3,393.0,551.0,71.3,5940.0,2670.0,212.0,251.0,84.5,133.0,190.0,70.0,25.0,60.0,41.7,10.0,27.0,16.0,9.0,39.0,417.0,134.0,5.0,1.0,0.0,33.0,0.0,0.0,0.0,0.0,129.0,0.0,19.0,22.0,1.54,19.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,50.0,30.0,23.0,22.0,5.0,32.0,58.0,55.2,26.0,20.0,4.0,16.0,20.0,34.0,1.0,732.0,42.0,225.0,310.0,212.0,15.0,732.0,13.0,27.0,48.1,298.0,30.0,23.0,3.0,273.0,18.0,14.0,0.0,13.0,7.0,0.0,0.0,1.0,0.0,117.0,6.0,15.0,28.6
-Liam Henderson,sct SCO,MF,Empoli,25,1996,38.0,23.0,2020.0,2.0,3.0,0.0,0.0,4.0,0.0,0.09,0.13,0.22,0.09,0.22,3.4,3.4,0.15,0.15,22.4,15.0,2.0,35.7,0.67,0.05,0.13,0.08,-1.4,-1.4,592.0,856.0,69.2,9237.0,3184.0,305.0,363.0,84.0,216.0,302.0,71.5,40.0,97.0,41.2,39.0,61.0,28.0,9.0,100.0,765.0,84.0,18.0,1.0,4.0,87.0,30.0,5.0,17.0,0.0,15.0,7.0,37.0,87.0,3.88,67.0,13.0,1.0,3.0,3.0,12.0,0.53,7.0,1.0,1.0,1.0,2.0,0.0,22.0,13.0,7.0,8.0,7.0,9.0,31.0,29.0,22.0,14.0,4.0,10.0,9.0,13.0,0.0,1019.0,33.0,128.0,418.0,482.0,60.0,1019.0,5.0,13.0,38.5,566.0,22.0,19.0,1.0,681.0,27.0,14.0,0.0,59.0,22.0,3.0,2.0,1.0,0.0,99.0,14.0,15.0,48.3
-Dalbert Henrique,br BRA,"DF,MF",Cagliari,27,1993,28.0,27.0,2081.0,0.0,2.0,0.0,0.0,9.0,0.0,0.0,0.09,0.09,0.0,0.09,1.2,1.2,0.05,0.05,23.1,1.0,0.0,10.0,0.04,0.0,0.0,0.12,-1.2,-1.2,592.0,841.0,70.4,10861.0,3644.0,247.0,297.0,83.2,254.0,343.0,74.1,75.0,140.0,53.6,29.0,40.0,23.0,15.0,53.0,642.0,195.0,16.0,0.0,4.0,73.0,13.0,3.0,4.0,0.0,166.0,4.0,22.0,57.0,2.47,41.0,14.0,0.0,1.0,1.0,5.0,0.22,3.0,1.0,0.0,1.0,0.0,0.0,43.0,23.0,23.0,16.0,4.0,11.0,35.0,31.4,24.0,28.0,5.0,23.0,24.0,34.0,0.0,1110.0,48.0,250.0,508.0,363.0,21.0,1110.0,10.0,29.0,34.5,487.0,33.0,30.0,4.0,525.0,38.0,19.0,0.0,38.0,28.0,4.0,0.0,2.0,0.0,132.0,25.0,37.0,40.3
-Matheus Henrique,br BRA,MF,Sassuolo,23,1997,25.0,10.0,1078.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.4,0.4,0.03,0.03,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,545.0,606.0,89.9,8330.0,2228.0,308.0,328.0,93.9,167.0,180.0,92.8,43.0,52.0,82.7,14.0,52.0,7.0,2.0,55.0,597.0,9.0,3.0,0.0,3.0,12.0,5.0,2.0,2.0,0.0,1.0,0.0,8.0,39.0,3.26,34.0,1.0,2.0,1.0,1.0,3.0,0.25,3.0,0.0,0.0,0.0,0.0,0.0,10.0,3.0,6.0,3.0,1.0,6.0,24.0,25.0,18.0,14.0,2.0,12.0,7.0,12.0,1.0,703.0,27.0,135.0,414.0,160.0,8.0,703.0,20.0,31.0,64.5,490.0,17.0,30.0,3.0,554.0,11.0,18.0,0.0,18.0,13.0,0.0,0.0,0.0,0.0,57.0,4.0,7.0,36.4
-Thomas Henry,fr FRA,FW,Venezia,26,1994,33.0,23.0,2115.0,9.0,2.0,0.0,0.0,6.0,1.0,0.38,0.09,0.47,0.38,0.47,7.5,7.5,0.32,0.32,23.5,24.0,0.0,47.1,1.02,0.18,0.38,0.15,1.5,1.5,263.0,434.0,60.6,3781.0,651.0,152.0,230.0,66.1,69.0,109.0,63.3,21.0,28.0,75.0,20.0,21.0,8.0,1.0,31.0,408.0,20.0,0.0,3.0,4.0,5.0,0.0,0.0,0.0,0.0,3.0,6.0,18.0,41.0,1.74,31.0,0.0,0.0,2.0,8.0,6.0,0.26,4.0,0.0,0.0,2.0,0.0,0.0,9.0,4.0,2.0,3.0,4.0,5.0,13.0,38.5,8.0,11.0,5.0,6.0,2.0,25.0,0.0,716.0,34.0,59.0,352.0,311.0,97.0,716.0,12.0,38.0,31.6,427.0,20.0,12.0,9.0,605.0,91.0,35.0,1.0,50.0,69.0,14.0,0.0,0.0,2.0,38.0,90.0,78.0,53.6
-Theo Hernández,fr FRA,DF,Milan,23,1997,32.0,30.0,2711.0,5.0,5.0,1.0,2.0,7.0,2.0,0.17,0.17,0.33,0.13,0.3,4.8,3.9,0.16,0.13,30.1,13.0,8.0,32.5,0.43,0.1,0.31,0.1,0.2,0.1,1404.0,1741.0,80.6,23589.0,7820.0,727.0,822.0,88.4,531.0,633.0,83.9,121.0,208.0,58.2,51.0,89.0,34.0,11.0,116.0,1383.0,354.0,71.0,4.0,18.0,126.0,42.0,2.0,38.0,0.0,241.0,4.0,34.0,104.0,3.45,58.0,25.0,4.0,5.0,10.0,13.0,0.43,10.0,0.0,1.0,2.0,0.0,0.0,53.0,35.0,34.0,14.0,5.0,29.0,40.0,72.5,11.0,16.0,3.0,13.0,23.0,29.0,3.0,2060.0,65.0,515.0,983.0,605.0,56.0,2058.0,49.0,85.0,57.6,1138.0,120.0,88.0,27.0,1262.0,55.0,24.0,1.0,34.0,74.0,8.0,0.0,0.0,0.0,219.0,25.0,14.0,64.1
-Hernani,br BRA,"MF,FW",Genoa,27,1994,18.0,7.0,682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.1,0.1,7.6,4.0,3.0,40.0,0.53,0.0,0.0,0.08,-0.8,-0.8,171.0,237.0,72.2,2623.0,630.0,95.0,110.0,86.4,53.0,80.0,66.3,12.0,19.0,63.2,2.0,13.0,3.0,2.0,17.0,221.0,16.0,9.0,0.0,3.0,15.0,4.0,2.0,2.0,0.0,1.0,0.0,12.0,7.0,0.93,5.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,10.0,8.0,9.0,3.0,13.0,32.0,40.6,19.0,17.0,4.0,13.0,13.0,5.0,1.0,343.0,15.0,68.0,191.0,88.0,13.0,343.0,5.0,11.0,45.5,161.0,7.0,8.0,4.0,200.0,16.0,11.0,0.0,12.0,10.0,2.0,0.0,1.0,0.0,43.0,13.0,22.0,37.1
-Daan Heymans,be BEL,"MF,FW",Venezia,22,1999,7.0,2.0,256.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.35,0.35,0.0,0.35,0.1,0.1,0.04,0.04,2.8,1.0,0.0,33.3,0.35,0.0,0.0,0.04,-0.1,-0.1,79.0,96.0,82.3,1240.0,310.0,38.0,46.0,82.6,32.0,35.0,91.4,5.0,9.0,55.6,3.0,6.0,2.0,1.0,9.0,92.0,4.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,2.12,6.0,0.0,0.0,0.0,0.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,1.0,5.0,20.0,4.0,7.0,3.0,4.0,4.0,3.0,0.0,129.0,8.0,29.0,65.0,36.0,6.0,129.0,2.0,3.0,66.7,58.0,2.0,2.0,0.0,85.0,7.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,10.0,8.0,2.0,80.0
-Aaron Hickey,sct SCO,DF,Bologna,19,2002,36.0,34.0,2820.0,5.0,1.0,0.0,0.0,7.0,0.0,0.16,0.03,0.19,0.16,0.19,1.4,1.4,0.04,0.04,31.3,13.0,0.0,61.9,0.41,0.24,0.38,0.07,3.6,3.6,1032.0,1289.0,80.1,14598.0,4242.0,610.0,671.0,90.9,355.0,460.0,77.2,34.0,78.0,43.6,19.0,45.0,19.0,8.0,52.0,1021.0,267.0,16.0,2.0,0.0,52.0,0.0,0.0,0.0,0.0,251.0,1.0,33.0,44.0,1.4,37.0,1.0,2.0,0.0,4.0,4.0,0.13,4.0,0.0,0.0,0.0,0.0,0.0,46.0,29.0,24.0,15.0,7.0,20.0,30.0,66.7,10.0,36.0,13.0,23.0,29.0,44.0,0.0,1602.0,80.0,483.0,671.0,458.0,25.0,1602.0,30.0,49.0,61.2,831.0,57.0,43.0,8.0,961.0,48.0,27.0,0.0,39.0,71.0,4.0,0.0,0.0,0.0,134.0,17.0,30.0,36.2
-Martin Hongla,cm CMR,MF,Hellas Verona,23,1998,18.0,7.0,651.0,1.0,0.0,0.0,0.0,3.0,0.0,0.14,0.0,0.14,0.14,0.14,1.2,1.2,0.17,0.17,7.2,4.0,0.0,44.4,0.55,0.11,0.25,0.14,-0.2,-0.2,229.0,303.0,75.6,4101.0,992.0,103.0,127.0,81.1,89.0,109.0,81.7,29.0,49.0,59.2,2.0,18.0,3.0,0.0,23.0,297.0,4.0,3.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,9.0,1.25,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,6.0,3.0,4.0,8.0,50.0,4.0,6.0,2.0,4.0,4.0,16.0,1.0,380.0,20.0,81.0,227.0,76.0,5.0,380.0,1.0,5.0,20.0,222.0,6.0,10.0,2.0,222.0,12.0,8.0,0.0,15.0,5.0,1.0,0.0,0.0,0.0,68.0,15.0,17.0,46.9
-Sydney van Hooijdonk,nl NED,"FW,MF",Bologna,21,2000,4.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,17.0,76.5,136.0,28.0,10.0,12.0,83.3,2.0,2.0,100.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,23.0,0.0,0.0,11.0,13.0,1.0,23.0,1.0,1.0,100.0,13.0,0.0,1.0,0.0,20.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,2.0,60.0
-Petko Hristov,bg BUL,DF,Spezia,22,1999,17.0,13.0,1248.0,1.0,1.0,0.0,0.0,3.0,0.0,0.07,0.07,0.14,0.07,0.14,0.2,0.2,0.02,0.02,13.9,1.0,0.0,50.0,0.07,0.5,1.0,0.11,0.8,0.8,504.0,627.0,80.4,10049.0,3710.0,156.0,183.0,85.2,286.0,319.0,89.7,56.0,110.0,50.9,3.0,27.0,1.0,0.0,25.0,586.0,38.0,29.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,7.0,0.5,5.0,0.0,0.0,1.0,1.0,2.0,0.14,1.0,0.0,0.0,1.0,0.0,0.0,17.0,10.0,11.0,6.0,0.0,10.0,16.0,62.5,6.0,29.0,23.0,6.0,19.0,47.0,0.0,760.0,113.0,449.0,299.0,13.0,4.0,760.0,2.0,2.0,100.0,363.0,3.0,4.0,1.0,421.0,3.0,2.0,0.0,8.0,18.0,0.0,0.0,0.0,0.0,83.0,37.0,22.0,62.7
-Elseid Hysaj,al ALB,DF,Lazio,27,1994,29.0,24.0,2027.0,1.0,0.0,0.0,0.0,3.0,0.0,0.04,0.0,0.04,0.04,0.04,0.7,0.7,0.03,0.03,22.5,2.0,0.0,50.0,0.09,0.25,0.5,0.18,0.3,0.3,1216.0,1412.0,86.1,17867.0,5977.0,713.0,762.0,93.6,407.0,466.0,87.3,59.0,106.0,55.7,12.0,83.0,17.0,7.0,96.0,1254.0,157.0,14.0,2.0,8.0,26.0,0.0,0.0,0.0,0.0,143.0,1.0,27.0,39.0,1.73,36.0,1.0,2.0,0.0,0.0,7.0,0.31,6.0,0.0,1.0,0.0,0.0,0.0,46.0,30.0,25.0,17.0,4.0,29.0,45.0,64.4,16.0,18.0,6.0,12.0,24.0,34.0,1.0,1599.0,59.0,472.0,861.0,286.0,17.0,1599.0,16.0,33.0,48.5,927.0,26.0,22.0,4.0,1087.0,14.0,9.0,0.0,16.0,18.0,2.0,0.0,1.0,0.0,124.0,17.0,24.0,41.5
-Roger Ibanez,br BRA,DF,Roma,22,1998,34.0,32.0,2889.0,3.0,0.0,0.0,0.0,9.0,0.0,0.09,0.0,0.09,0.09,0.09,2.5,2.5,0.08,0.08,32.1,5.0,0.0,25.0,0.16,0.15,0.6,0.13,0.5,0.5,1691.0,1937.0,87.3,32137.0,11766.0,632.0,684.0,92.4,879.0,954.0,92.1,167.0,269.0,62.1,10.0,85.0,10.0,0.0,116.0,1828.0,108.0,64.0,1.0,13.0,3.0,0.0,0.0,0.0,0.0,41.0,1.0,8.0,31.0,0.97,28.0,1.0,0.0,1.0,1.0,2.0,0.06,2.0,0.0,0.0,0.0,0.0,0.0,54.0,32.0,31.0,19.0,4.0,26.0,43.0,60.5,17.0,26.0,7.0,19.0,62.0,104.0,2.0,2275.0,195.0,1102.0,1088.0,110.0,37.0,2275.0,10.0,16.0,62.5,1359.0,33.0,29.0,2.0,1507.0,33.0,12.0,0.0,47.0,48.0,1.0,0.0,2.0,0.0,201.0,61.0,36.0,62.9
-Zlatan Ibrahimović,se SWE,FW,Milan,39,1981,23.0,11.0,1016.0,8.0,2.0,0.0,1.0,2.0,0.0,0.71,0.18,0.89,0.71,0.89,7.3,6.6,0.65,0.58,11.3,18.0,5.0,36.0,1.59,0.16,0.44,0.13,0.7,1.4,304.0,428.0,71.0,4022.0,1088.0,197.0,258.0,76.4,78.0,99.0,78.8,14.0,22.0,63.6,23.0,35.0,17.0,0.0,50.0,408.0,14.0,1.0,3.0,2.0,6.0,0.0,0.0,0.0,0.0,2.0,6.0,15.0,47.0,4.17,36.0,0.0,3.0,6.0,1.0,4.0,0.36,2.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,2.0,1.0,1.0,3.0,9.0,0.0,537.0,12.0,16.0,209.0,316.0,89.0,536.0,5.0,9.0,55.6,267.0,13.0,14.0,5.0,443.0,22.0,9.0,0.0,16.0,9.0,19.0,1.0,0.0,1.0,18.0,44.0,25.0,63.8
-Igor,br BRA,DF,Fiorentina,23,1998,30.0,23.0,2242.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.02,0.02,24.9,1.0,0.0,14.3,0.04,0.0,0.0,0.07,-0.5,-0.5,1550.0,1688.0,91.8,31777.0,9782.0,445.0,480.0,92.7,906.0,945.0,95.9,192.0,236.0,81.4,6.0,89.0,1.0,0.0,95.0,1629.0,59.0,50.0,1.0,17.0,2.0,0.0,0.0,0.0,0.0,9.0,0.0,9.0,19.0,0.76,16.0,0.0,0.0,2.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,53.0,31.0,34.0,16.0,3.0,30.0,40.0,75.0,10.0,37.0,19.0,18.0,31.0,46.0,4.0,1905.0,134.0,947.0,935.0,39.0,15.0,1905.0,12.0,12.0,100.0,1206.0,20.0,8.0,0.0,1350.0,18.0,3.0,0.0,28.0,5.0,0.0,0.0,1.0,0.0,169.0,46.0,41.0,52.9
-Jonathan Ikone,fr FRA,FW,Fiorentina,23,1998,17.0,7.0,649.0,1.0,1.0,0.0,0.0,1.0,0.0,0.14,0.14,0.28,0.14,0.28,2.1,2.1,0.3,0.3,7.2,6.0,0.0,37.5,0.83,0.06,0.17,0.13,-1.1,-1.1,227.0,273.0,83.2,3765.0,639.0,101.0,119.0,84.9,104.0,120.0,86.7,14.0,18.0,77.8,9.0,17.0,7.0,1.0,27.0,270.0,3.0,1.0,2.0,3.0,9.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,27.0,3.74,20.0,0.0,3.0,3.0,1.0,2.0,0.28,1.0,0.0,0.0,1.0,0.0,0.0,7.0,3.0,2.0,3.0,2.0,3.0,10.0,30.0,7.0,10.0,2.0,8.0,1.0,2.0,0.0,369.0,6.0,31.0,159.0,183.0,28.0,369.0,13.0,23.0,56.5,244.0,13.0,14.0,7.0,273.0,27.0,10.0,0.0,6.0,6.0,1.0,0.0,0.0,0.0,42.0,3.0,8.0,27.3
-Ivan Ilić,rs SRB,MF,Hellas Verona,20,2001,32.0,30.0,2526.0,1.0,3.0,0.0,0.0,5.0,1.0,0.04,0.11,0.14,0.04,0.14,2.5,2.5,0.09,0.09,28.1,5.0,2.0,22.7,0.18,0.05,0.2,0.11,-1.5,-1.5,1102.0,1366.0,80.7,19025.0,5377.0,496.0,579.0,85.7,456.0,530.0,86.0,106.0,162.0,65.4,20.0,98.0,20.0,6.0,134.0,1271.0,91.0,61.0,0.0,10.0,40.0,21.0,9.0,7.0,0.0,9.0,4.0,10.0,56.0,2.0,43.0,9.0,2.0,1.0,1.0,9.0,0.32,8.0,1.0,0.0,0.0,0.0,0.0,39.0,18.0,16.0,19.0,4.0,20.0,54.0,37.0,34.0,34.0,12.0,22.0,22.0,55.0,0.0,1679.0,85.0,358.0,990.0,346.0,27.0,1679.0,26.0,43.0,60.5,969.0,39.0,47.0,5.0,1057.0,48.0,22.0,0.0,45.0,32.0,1.0,0.0,0.0,1.0,186.0,51.0,36.0,58.6
-Josip Iličić,si SVN,"MF,FW",Atalanta,33,1988,20.0,8.0,841.0,3.0,3.0,0.0,1.0,1.0,0.0,0.32,0.32,0.64,0.32,0.64,3.5,2.8,0.38,0.3,9.3,7.0,1.0,22.6,0.75,0.1,0.43,0.09,-0.5,0.2,359.0,492.0,73.0,6453.0,2051.0,182.0,223.0,81.6,118.0,157.0,75.2,48.0,74.0,64.9,34.0,40.0,21.0,2.0,70.0,453.0,38.0,6.0,5.0,16.0,41.0,27.0,12.0,11.0,0.0,2.0,1.0,9.0,66.0,7.07,42.0,11.0,4.0,5.0,3.0,10.0,1.07,8.0,0.0,2.0,0.0,0.0,0.0,7.0,7.0,3.0,2.0,2.0,4.0,17.0,23.5,13.0,6.0,1.0,5.0,3.0,1.0,0.0,618.0,4.0,40.0,242.0,344.0,53.0,617.0,27.0,40.0,67.5,455.0,43.0,20.0,18.0,516.0,39.0,10.0,0.0,13.0,38.0,1.0,0.0,0.0,0.0,32.0,1.0,11.0,8.3
-Ciro Immobile,it ITA,FW,Lazio,31,1990,31.0,31.0,2711.0,27.0,2.0,7.0,9.0,4.0,0.0,0.9,0.07,0.96,0.66,0.73,23.0,15.8,0.76,0.53,30.1,50.0,0.0,45.9,1.66,0.18,0.4,0.15,4.0,4.2,681.0,884.0,77.0,8729.0,1240.0,425.0,499.0,85.2,158.0,210.0,75.2,35.0,48.0,72.9,27.0,30.0,22.0,2.0,54.0,854.0,28.0,0.0,3.0,3.0,13.0,1.0,0.0,0.0,0.0,5.0,2.0,29.0,72.0,2.39,53.0,0.0,6.0,11.0,2.0,15.0,0.5,9.0,0.0,2.0,4.0,0.0,0.0,10.0,5.0,4.0,4.0,2.0,1.0,15.0,6.7,14.0,7.0,1.0,6.0,3.0,16.0,0.0,1199.0,20.0,91.0,496.0,622.0,190.0,1190.0,19.0,40.0,47.5,725.0,52.0,31.0,31.0,995.0,77.0,44.0,0.0,36.0,39.0,13.0,1.0,1.0,0.0,55.0,22.0,46.0,32.4
-Lorenzo Insigne,it ITA,FW,Napoli,30,1991,32.0,28.0,2290.0,11.0,8.0,9.0,13.0,2.0,0.0,0.43,0.31,0.75,0.08,0.39,15.4,5.7,0.6,0.22,25.4,24.0,12.0,29.6,0.94,0.02,0.08,0.07,-4.4,-3.7,1208.0,1509.0,80.1,19846.0,4831.0,672.0,738.0,91.1,370.0,457.0,81.0,127.0,225.0,56.4,63.0,78.0,54.0,3.0,150.0,1378.0,126.0,33.0,16.0,26.0,90.0,62.0,22.0,23.0,0.0,30.0,5.0,17.0,120.0,4.72,80.0,21.0,7.0,11.0,1.0,16.0,0.63,9.0,3.0,0.0,4.0,0.0,0.0,23.0,14.0,8.0,12.0,3.0,8.0,44.0,18.2,36.0,30.0,1.0,29.0,20.0,3.0,1.0,1790.0,13.0,177.0,791.0,847.0,116.0,1777.0,41.0,80.0,51.3,1203.0,104.0,78.0,46.0,1383.0,52.0,28.0,0.0,20.0,22.0,5.0,0.0,0.0,0.0,142.0,5.0,9.0,35.7
-Ardian Ismajli,al ALB,DF,Empoli,24,1996,20.0,13.0,1272.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,14.1,1.0,0.0,20.0,0.07,0.0,0.0,0.07,-0.3,-0.3,616.0,725.0,85.0,11941.0,4691.0,201.0,222.0,90.5,344.0,384.0,89.6,64.0,99.0,64.6,3.0,47.0,2.0,0.0,51.0,683.0,40.0,22.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,9.0,2.0,6.0,11.0,0.78,9.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,9.0,8.0,4.0,1.0,5.0,14.0,35.7,9.0,21.0,11.0,10.0,24.0,80.0,0.0,894.0,149.0,487.0,387.0,26.0,9.0,894.0,1.0,3.0,33.3,470.0,18.0,7.0,0.0,531.0,5.0,0.0,0.0,17.0,14.0,0.0,0.0,0.0,2.0,78.0,38.0,21.0,64.4
-Armando Izzo,it ITA,DF,Torino,29,1992,11.0,6.0,526.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.11,0.11,5.8,3.0,0.0,60.0,0.51,0.0,0.0,0.13,-0.7,-0.7,240.0,307.0,78.2,4507.0,1288.0,92.0,109.0,84.4,112.0,135.0,83.0,31.0,56.0,55.4,0.0,20.0,2.0,0.0,27.0,280.0,26.0,20.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,4.0,0.68,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,14.0,2.0,0.0,9.0,11.0,81.8,2.0,5.0,4.0,1.0,17.0,21.0,0.0,371.0,35.0,153.0,175.0,44.0,8.0,371.0,0.0,0.0,0.0,200.0,6.0,7.0,0.0,219.0,3.0,2.0,0.0,17.0,12.0,0.0,0.0,1.0,0.0,32.0,15.0,14.0,51.7
-Mato Jajalo,ba BIH,MF,Udinese,33,1988,22.0,6.0,629.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.4,0.4,0.06,0.06,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.4,-0.4,252.0,318.0,79.2,4139.0,1374.0,117.0,138.0,84.8,101.0,122.0,82.8,22.0,33.0,66.7,8.0,27.0,7.0,0.0,31.0,302.0,14.0,8.0,2.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,17.0,2.44,12.0,0.0,1.0,3.0,1.0,2.0,0.29,1.0,0.0,0.0,0.0,1.0,0.0,24.0,14.0,14.0,7.0,3.0,11.0,23.0,47.8,12.0,7.0,0.0,7.0,11.0,5.0,0.0,399.0,21.0,108.0,225.0,68.0,4.0,399.0,3.0,4.0,75.0,184.0,3.0,3.0,1.0,223.0,10.0,5.0,0.0,12.0,7.0,0.0,0.0,0.0,0.0,49.0,6.0,11.0,35.3
-Paweł Jaroszyński,pl POL,DF,Salernitana,26,1994,13.0,4.0,516.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,5.7,1.0,0.0,50.0,0.17,0.0,0.0,0.09,-0.2,-0.2,149.0,230.0,64.8,2774.0,1183.0,58.0,66.0,87.9,78.0,106.0,73.6,12.0,43.0,27.9,6.0,7.0,3.0,3.0,10.0,177.0,51.0,7.0,0.0,0.0,21.0,4.0,0.0,4.0,0.0,40.0,2.0,8.0,11.0,1.92,6.0,5.0,0.0,0.0,0.0,1.0,0.17,0.0,1.0,0.0,0.0,0.0,0.0,10.0,5.0,7.0,3.0,0.0,5.0,7.0,71.4,2.0,4.0,0.0,4.0,10.0,19.0,0.0,284.0,29.0,122.0,106.0,58.0,2.0,284.0,1.0,4.0,25.0,138.0,4.0,7.0,0.0,124.0,2.0,1.0,0.0,7.0,5.0,0.0,0.0,0.0,0.0,40.0,7.0,9.0,43.8
-Juan Jesus,br BRA,DF,Napoli,30,1991,21.0,14.0,1278.0,1.0,0.0,0.0,0.0,1.0,0.0,0.07,0.0,0.07,0.07,0.07,0.4,0.4,0.03,0.03,14.2,1.0,0.0,25.0,0.07,0.25,1.0,0.11,0.6,0.6,740.0,838.0,88.3,12013.0,4533.0,354.0,380.0,93.2,319.0,345.0,92.5,47.0,75.0,62.7,4.0,33.0,2.0,0.0,36.0,796.0,42.0,29.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,9.0,0.63,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,17.0,14.0,11.0,0.0,12.0,18.0,66.7,6.0,21.0,16.0,5.0,9.0,34.0,0.0,950.0,103.0,442.0,497.0,17.0,10.0,950.0,1.0,2.0,50.0,586.0,1.0,2.0,1.0,643.0,3.0,0.0,0.0,14.0,2.0,2.0,0.0,0.0,1.0,103.0,29.0,28.0,50.9
-Dennis Johnsen,no NOR,"FW,MF",Venezia,23,1998,26.0,17.0,1445.0,1.0,2.0,0.0,0.0,2.0,0.0,0.06,0.12,0.19,0.06,0.19,2.2,2.2,0.13,0.13,16.1,5.0,0.0,35.7,0.31,0.07,0.2,0.14,-1.2,-1.2,188.0,321.0,58.6,3161.0,1045.0,95.0,145.0,65.5,57.0,86.0,66.3,23.0,40.0,57.5,24.0,15.0,20.0,8.0,31.0,319.0,2.0,0.0,0.0,7.0,42.0,1.0,1.0,0.0,0.0,1.0,0.0,21.0,32.0,1.97,28.0,0.0,2.0,1.0,1.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,0.0,14.0,10.0,8.0,4.0,2.0,6.0,18.0,33.3,12.0,14.0,1.0,13.0,5.0,3.0,0.0,508.0,8.0,75.0,176.0,271.0,59.0,508.0,20.0,66.0,30.3,346.0,36.0,23.0,19.0,369.0,61.0,23.0,0.0,9.0,12.0,13.0,0.0,0.0,0.0,62.0,5.0,20.0,20.0
-Kaio Jorge,br BRA,"MF,FW",Juventus,19,2002,9.0,0.0,121.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.62,0.62,1.3,1.0,0.0,20.0,0.74,0.0,0.0,0.17,-0.8,-0.8,29.0,39.0,74.4,423.0,58.0,13.0,15.0,86.7,9.0,14.0,64.3,3.0,3.0,100.0,2.0,1.0,0.0,0.0,1.0,38.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,3.72,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,3.0,33.3,2.0,1.0,0.0,1.0,0.0,2.0,0.0,56.0,2.0,8.0,23.0,26.0,7.0,56.0,1.0,1.0,100.0,41.0,2.0,1.0,1.0,47.0,4.0,2.0,0.0,4.0,5.0,2.0,0.0,0.0,0.0,10.0,0.0,4.0,0.0
-Flavio Junior Bianchi,it ITA,"FW,MF",Genoa,21,2000,7.0,4.0,314.0,1.0,0.0,0.0,0.0,0.0,0.0,0.29,0.0,0.29,0.29,0.29,0.8,0.8,0.23,0.23,3.5,3.0,0.0,30.0,0.86,0.1,0.33,0.08,0.2,0.2,60.0,77.0,77.9,753.0,91.0,44.0,50.0,88.0,11.0,16.0,68.8,3.0,4.0,75.0,3.0,3.0,1.0,0.0,3.0,75.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,1.43,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,0.0,10.0,71.0,35.0,9.0,114.0,3.0,3.0,100.0,68.0,2.0,2.0,1.0,81.0,15.0,6.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,9.0,3.0,5.0,37.5
-Hamed Junior Traorè,ci CIV,"FW,MF",Sassuolo,21,2000,31.0,21.0,1775.0,7.0,2.0,0.0,0.0,3.0,0.0,0.35,0.1,0.46,0.35,0.46,6.5,6.5,0.33,0.33,19.7,22.0,0.0,43.1,1.12,0.14,0.32,0.13,0.5,0.5,646.0,832.0,77.6,10203.0,3121.0,338.0,385.0,87.8,237.0,285.0,83.2,49.0,95.0,51.6,36.0,66.0,35.0,3.0,110.0,767.0,62.0,9.0,2.0,11.0,60.0,47.0,34.0,4.0,0.0,5.0,3.0,22.0,80.0,4.07,57.0,10.0,9.0,2.0,2.0,7.0,0.36,6.0,0.0,1.0,0.0,0.0,0.0,32.0,18.0,8.0,14.0,10.0,10.0,46.0,21.7,36.0,22.0,2.0,20.0,12.0,6.0,1.0,1104.0,10.0,169.0,492.0,460.0,88.0,1104.0,61.0,104.0,58.7,743.0,90.0,56.0,46.0,779.0,45.0,43.0,0.0,30.0,32.0,4.0,0.0,0.0,0.0,123.0,4.0,10.0,28.6
-Nikola Kalinić,hr CRO,FW,Hellas Verona,33,1988,14.0,4.0,406.0,4.0,1.0,0.0,0.0,5.0,1.0,0.89,0.22,1.11,0.89,1.11,3.3,3.3,0.74,0.74,4.5,4.0,0.0,30.8,0.89,0.31,1.0,0.26,0.7,0.7,85.0,104.0,81.7,986.0,128.0,56.0,62.0,90.3,21.0,26.0,80.8,0.0,2.0,0.0,6.0,3.0,2.0,0.0,6.0,88.0,15.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,13.0,2.88,9.0,0.0,1.0,0.0,3.0,2.0,0.44,1.0,0.0,0.0,0.0,1.0,0.0,2.0,0.0,0.0,1.0,1.0,1.0,2.0,50.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,158.0,1.0,5.0,61.0,92.0,33.0,158.0,2.0,4.0,50.0,112.0,3.0,2.0,3.0,143.0,19.0,21.0,1.0,15.0,9.0,2.0,1.0,0.0,0.0,8.0,3.0,7.0,30.0
-Yayah Kallon,sl SLE,"FW,MF",Genoa,20,2001,15.0,5.0,636.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.14,0.14,0.0,0.14,1.5,1.5,0.21,0.21,7.1,1.0,0.0,9.1,0.14,0.0,0.0,0.14,-1.5,-1.5,110.0,171.0,64.3,1418.0,241.0,71.0,95.0,74.7,35.0,51.0,68.6,1.0,9.0,11.1,11.0,5.0,4.0,2.0,5.0,170.0,1.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,26.0,3.69,15.0,0.0,6.0,3.0,2.0,4.0,0.57,2.0,0.0,1.0,0.0,1.0,0.0,15.0,11.0,5.0,6.0,4.0,3.0,11.0,27.3,8.0,7.0,1.0,6.0,1.0,5.0,0.0,265.0,3.0,31.0,93.0,146.0,32.0,265.0,18.0,28.0,64.3,171.0,24.0,11.0,12.0,174.0,27.0,11.0,0.0,19.0,13.0,3.0,1.0,0.0,0.0,35.0,4.0,17.0,19.0
-Pierre Kalulu,fr FRA,DF,Milan,21,2000,28.0,21.0,1944.0,1.0,2.0,0.0,0.0,4.0,0.0,0.05,0.09,0.14,0.05,0.14,0.5,0.5,0.02,0.02,21.6,2.0,0.0,40.0,0.09,0.2,0.5,0.1,0.5,0.5,1020.0,1160.0,87.9,19162.0,6639.0,355.0,381.0,93.2,547.0,595.0,91.9,104.0,145.0,71.7,7.0,70.0,10.0,6.0,78.0,1073.0,83.0,35.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,46.0,4.0,10.0,27.0,1.25,24.0,1.0,0.0,1.0,1.0,4.0,0.19,3.0,0.0,0.0,1.0,0.0,0.0,61.0,36.0,36.0,21.0,4.0,17.0,22.0,77.3,5.0,36.0,15.0,21.0,26.0,54.0,0.0,1384.0,98.0,591.0,642.0,169.0,13.0,1384.0,6.0,11.0,54.5,788.0,21.0,19.0,0.0,859.0,22.0,6.0,0.0,16.0,6.0,2.0,0.0,0.0,0.0,150.0,22.0,41.0,34.9
-Dimitrije Kamenović,rs SRB,DF,Lazio,21,2000,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,1.25,1.25,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.63,-0.6,-0.6,15.0,20.0,75.0,298.0,57.0,4.0,6.0,66.7,9.0,12.0,75.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,18.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,25.0,3.0,13.0,11.0,1.0,1.0,25.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0,10.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
-Rick Karsdorp,nl NED,"DF,FW",Roma,26,1995,36.0,32.0,2883.0,0.0,2.0,0.0,0.0,9.0,1.0,0.0,0.06,0.06,0.0,0.06,0.0,0.0,0.0,0.0,32.0,1.0,0.0,50.0,0.03,0.0,0.0,0.02,0.0,0.0,1466.0,1819.0,80.6,26822.0,8528.0,621.0,710.0,87.5,655.0,772.0,84.8,164.0,253.0,64.8,42.0,111.0,57.0,24.0,150.0,1526.0,281.0,15.0,3.0,11.0,103.0,0.0,0.0,0.0,0.0,266.0,12.0,33.0,93.0,2.9,81.0,4.0,5.0,0.0,2.0,4.0,0.12,4.0,0.0,0.0,0.0,0.0,0.0,53.0,38.0,33.0,13.0,7.0,28.0,50.0,56.0,22.0,22.0,5.0,17.0,34.0,26.0,1.0,2008.0,59.0,538.0,923.0,571.0,40.0,2008.0,13.0,23.0,56.5,1082.0,46.0,45.0,10.0,1303.0,31.0,8.0,1.0,27.0,13.0,0.0,0.0,1.0,0.0,179.0,5.0,12.0,29.4
-Denso Kasius,nl NED,"DF,FW",Bologna,18,2002,7.0,1.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.0,1.0,0.0,50.0,0.5,0.0,0.0,0.08,-0.2,-0.2,103.0,126.0,81.7,1521.0,393.0,58.0,62.0,93.5,41.0,47.0,87.2,3.0,8.0,37.5,5.0,3.0,2.0,1.0,3.0,110.0,16.0,1.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,15.0,0.0,3.0,7.0,3.5,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,6.0,4.0,3.0,1.0,2.0,5.0,40.0,3.0,4.0,0.0,4.0,3.0,4.0,0.0,160.0,4.0,39.0,73.0,48.0,2.0,160.0,3.0,8.0,37.5,89.0,6.0,4.0,2.0,97.0,6.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,15.0,3.0,3.0,50.0
-Grigoris Kastanos,cy CYP,"MF,FW",Salernitana,23,1998,27.0,16.0,1348.0,1.0,1.0,0.0,0.0,4.0,1.0,0.07,0.07,0.13,0.07,0.13,1.7,1.7,0.12,0.12,15.0,8.0,3.0,28.6,0.53,0.04,0.13,0.06,-0.7,-0.7,418.0,586.0,71.3,6538.0,2604.0,226.0,272.0,83.1,126.0,172.0,73.3,41.0,78.0,52.6,28.0,41.0,20.0,3.0,62.0,514.0,71.0,30.0,3.0,2.0,52.0,34.0,11.0,20.0,0.0,7.0,1.0,22.0,68.0,4.56,32.0,14.0,7.0,7.0,8.0,8.0,0.54,4.0,1.0,1.0,0.0,2.0,0.0,30.0,19.0,9.0,19.0,2.0,7.0,23.0,30.4,16.0,21.0,5.0,16.0,22.0,8.0,0.0,772.0,27.0,138.0,361.0,289.0,28.0,772.0,22.0,46.0,47.8,441.0,27.0,29.0,7.0,473.0,27.0,14.0,0.0,28.0,35.0,2.0,1.0,0.0,0.0,85.0,18.0,11.0,62.1
-Moise Kean,it ITA,FW,Juventus,21,2000,32.0,12.0,1098.0,5.0,2.0,0.0,0.0,5.0,0.0,0.41,0.16,0.57,0.41,0.57,5.1,5.1,0.42,0.42,12.2,10.0,0.0,35.7,0.82,0.18,0.5,0.18,-0.1,-0.1,174.0,228.0,76.3,2486.0,280.0,106.0,137.0,77.4,42.0,53.0,79.2,15.0,22.0,68.2,5.0,9.0,3.0,1.0,10.0,220.0,8.0,1.0,0.0,3.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,14.0,1.15,8.0,0.0,4.0,0.0,2.0,3.0,0.25,1.0,0.0,1.0,0.0,1.0,0.0,9.0,4.0,2.0,5.0,2.0,6.0,16.0,37.5,10.0,5.0,0.0,5.0,3.0,8.0,1.0,381.0,10.0,48.0,158.0,182.0,58.0,381.0,18.0,44.0,40.9,227.0,20.0,9.0,10.0,289.0,43.0,21.0,0.0,20.0,16.0,12.0,1.0,0.0,0.0,44.0,22.0,15.0,59.5
-Wajdi Kechrida,tn TUN,"DF,MF",Salernitana,25,1995,17.0,10.0,952.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.09,0.09,0.0,0.09,0.3,0.3,0.03,0.03,10.6,1.0,0.0,16.7,0.09,0.0,0.0,0.05,-0.3,-0.3,241.0,333.0,72.4,3620.0,1680.0,130.0,142.0,91.5,88.0,128.0,68.8,12.0,31.0,38.7,12.0,27.0,13.0,8.0,29.0,292.0,40.0,1.0,0.0,1.0,32.0,7.0,1.0,6.0,0.0,32.0,1.0,10.0,17.0,1.61,14.0,2.0,0.0,1.0,0.0,2.0,0.19,1.0,0.0,0.0,1.0,0.0,0.0,9.0,6.0,6.0,3.0,0.0,8.0,13.0,61.5,5.0,10.0,2.0,8.0,8.0,15.0,0.0,411.0,23.0,100.0,182.0,133.0,15.0,411.0,2.0,5.0,40.0,219.0,16.0,14.0,2.0,234.0,10.0,10.0,0.0,8.0,1.0,1.0,0.0,0.0,0.0,49.0,2.0,12.0,14.3
-Dimitrios Keramitsis,gr GRE,MF,Roma,17,2004,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Franck Kessié,ci CIV,MF,Milan,24,1996,31.0,25.0,2308.0,6.0,0.0,2.0,3.0,2.0,0.0,0.23,0.0,0.23,0.16,0.16,5.0,2.6,0.19,0.1,25.6,8.0,0.0,25.8,0.31,0.13,0.5,0.08,1.0,1.4,1174.0,1342.0,87.5,20350.0,4954.0,533.0,589.0,90.5,521.0,565.0,92.2,97.0,129.0,75.2,28.0,102.0,19.0,2.0,130.0,1284.0,52.0,41.0,2.0,9.0,12.0,0.0,0.0,0.0,0.0,7.0,6.0,15.0,67.0,2.61,55.0,0.0,2.0,5.0,2.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,0.0,41.0,23.0,12.0,24.0,5.0,17.0,26.0,65.4,9.0,39.0,10.0,29.0,23.0,22.0,0.0,1600.0,52.0,337.0,919.0,361.0,58.0,1597.0,33.0,45.0,73.3,888.0,36.0,33.0,4.0,1101.0,38.0,27.0,0.0,36.0,31.0,1.0,1.0,1.0,0.0,176.0,30.0,29.0,50.8
-Jakub Kiwior,pl POL,MF,Spezia,21,2000,22.0,21.0,1964.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.02,0.02,21.8,4.0,0.0,50.0,0.18,0.0,0.0,0.06,-0.5,-0.5,539.0,695.0,77.6,10040.0,2898.0,217.0,264.0,82.2,232.0,279.0,83.2,75.0,115.0,65.2,8.0,40.0,3.0,1.0,48.0,672.0,23.0,23.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,15.0,0.69,13.0,0.0,0.0,1.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,50.0,27.0,25.0,19.0,6.0,26.0,57.0,45.6,31.0,38.0,15.0,23.0,40.0,53.0,0.0,937.0,94.0,360.0,497.0,92.0,17.0,937.0,9.0,14.0,64.3,380.0,5.0,3.0,1.0,467.0,14.0,9.0,0.0,27.0,5.0,2.0,0.0,1.0,0.0,102.0,29.0,32.0,47.5
-Sofian Kiyine,ma MAR,"MF,FW",Venezia,23,1997,26.0,14.0,1239.0,1.0,0.0,0.0,1.0,8.0,1.0,0.07,0.0,0.07,0.07,0.07,1.7,0.8,0.13,0.06,13.8,5.0,2.0,25.0,0.36,0.05,0.2,0.04,-0.7,0.2,392.0,532.0,73.7,7832.0,2436.0,162.0,194.0,83.5,140.0,186.0,75.3,79.0,117.0,67.5,19.0,44.0,22.0,3.0,62.0,471.0,58.0,22.0,2.0,15.0,49.0,18.0,9.0,6.0,0.0,11.0,3.0,10.0,50.0,3.63,29.0,8.0,8.0,1.0,1.0,3.0,0.22,2.0,0.0,0.0,1.0,0.0,0.0,24.0,14.0,9.0,11.0,4.0,12.0,32.0,37.5,20.0,15.0,1.0,14.0,10.0,9.0,0.0,710.0,22.0,149.0,362.0,217.0,17.0,710.0,55.0,80.0,68.8,424.0,48.0,33.0,10.0,447.0,38.0,32.0,0.0,49.0,11.0,0.0,0.0,0.0,0.0,94.0,12.0,16.0,42.9
-Simon Kjær,dk DEN,DF,Milan,32,1989,11.0,10.0,802.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.07,0.07,8.9,1.0,0.0,20.0,0.11,0.0,0.0,0.13,-0.6,-0.6,404.0,463.0,87.3,8254.0,2970.0,130.0,142.0,91.5,213.0,225.0,94.7,57.0,80.0,71.3,2.0,27.0,3.0,1.0,23.0,440.0,17.0,17.0,2.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,7.0,0.78,6.0,0.0,0.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,20.0,12.0,9.0,8.0,3.0,6.0,12.0,50.0,6.0,17.0,13.0,4.0,9.0,39.0,0.0,559.0,86.0,256.0,292.0,14.0,6.0,559.0,0.0,0.0,0.0,298.0,3.0,1.0,0.0,369.0,2.0,1.0,0.0,20.0,5.0,0.0,0.0,0.0,1.0,46.0,13.0,14.0,48.1
-Aleksandr Kokorin,ru RUS,"FW,MF",Fiorentina,30,1991,6.0,0.0,55.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,24.0,62.5,225.0,30.0,9.0,15.0,60.0,5.0,6.0,83.3,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,22.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,0.0,2.0,18.0,13.0,1.0,33.0,0.0,0.0,0.0,19.0,2.0,1.0,0.0,25.0,5.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,5.0,5.0,50.0
-Aleksandar Kolarov,rs SRB,DF,Inter,35,1985,3.0,0.0,42.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,31.0,38.0,81.6,555.0,273.0,15.0,18.0,83.3,12.0,14.0,85.7,4.0,6.0,66.7,0.0,4.0,1.0,0.0,3.0,36.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,44.0,5.0,15.0,23.0,6.0,0.0,44.0,1.0,2.0,50.0,32.0,1.0,1.0,0.0,37.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,33.3
-Teun Koopmeiners,nl NED,MF,Atalanta,23,1998,30.0,23.0,2126.0,4.0,1.0,0.0,0.0,4.0,0.0,0.17,0.04,0.21,0.17,0.21,2.1,2.1,0.09,0.09,23.6,9.0,3.0,32.1,0.38,0.14,0.44,0.08,1.9,1.9,1173.0,1485.0,79.0,21632.0,7362.0,510.0,578.0,88.2,492.0,575.0,85.6,132.0,249.0,53.0,48.0,154.0,37.0,12.0,162.0,1348.0,131.0,55.0,3.0,38.0,97.0,56.0,30.0,21.0,0.0,15.0,6.0,18.0,93.0,3.94,69.0,14.0,5.0,3.0,1.0,5.0,0.21,5.0,0.0,0.0,0.0,0.0,0.0,40.0,24.0,10.0,19.0,11.0,22.0,54.0,40.7,32.0,31.0,2.0,29.0,15.0,19.0,0.0,1715.0,35.0,333.0,854.0,550.0,39.0,1715.0,21.0,36.0,58.3,976.0,38.0,37.0,11.0,1180.0,43.0,19.0,0.0,37.0,21.0,6.0,0.0,0.0,1.0,158.0,27.0,20.0,57.4
-Kalidou Koulibaly,sn SEN,DF,Napoli,30,1991,27.0,27.0,2405.0,3.0,1.0,0.0,0.0,5.0,1.0,0.11,0.04,0.15,0.11,0.15,1.4,1.4,0.05,0.05,26.7,7.0,0.0,70.0,0.26,0.3,0.43,0.14,1.6,1.6,1429.0,1652.0,86.5,25051.0,11180.0,630.0,688.0,91.6,634.0,683.0,92.8,131.0,219.0,59.8,11.0,91.0,6.0,0.0,80.0,1550.0,96.0,74.0,1.0,18.0,2.0,0.0,0.0,0.0,0.0,3.0,6.0,13.0,19.0,0.71,15.0,0.0,1.0,2.0,1.0,4.0,0.15,3.0,0.0,0.0,1.0,0.0,0.0,39.0,23.0,31.0,6.0,2.0,25.0,38.0,65.8,13.0,41.0,25.0,16.0,29.0,90.0,1.0,1915.0,247.0,902.0,980.0,58.0,22.0,1915.0,20.0,22.0,90.9,1163.0,21.0,12.0,1.0,1305.0,15.0,3.0,0.0,28.0,12.0,0.0,0.0,1.0,0.0,167.0,48.0,37.0,56.5
-Christos Kourfalidis,gr GRE,"MF,FW",Cagliari,18,2002,2.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.37,0.37,0.2,1.0,0.0,100.0,5.0,0.0,0.0,0.07,-0.1,-0.1,8.0,13.0,61.5,123.0,20.0,3.0,4.0,75.0,4.0,5.0,80.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,16.0,1.0,1.0,8.0,7.0,1.0,16.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,1.0,50.0
-Viktor Kovalenko,ua UKR,MF,Spezia,25,1996,26.0,16.0,1325.0,1.0,3.0,0.0,0.0,4.0,0.0,0.07,0.2,0.27,0.07,0.27,0.3,0.3,0.02,0.02,14.7,2.0,1.0,25.0,0.14,0.13,0.5,0.04,0.7,0.7,455.0,597.0,76.2,7361.0,1947.0,228.0,274.0,83.2,173.0,208.0,83.2,37.0,69.0,53.6,17.0,40.0,11.0,0.0,60.0,559.0,36.0,16.0,0.0,2.0,24.0,16.0,11.0,3.0,1.0,4.0,2.0,19.0,27.0,1.84,21.0,3.0,1.0,0.0,1.0,4.0,0.27,4.0,0.0,0.0,0.0,0.0,0.0,16.0,10.0,7.0,8.0,1.0,9.0,21.0,42.9,12.0,16.0,3.0,13.0,13.0,8.0,0.0,723.0,14.0,138.0,408.0,180.0,14.0,723.0,4.0,14.0,28.6,416.0,15.0,18.0,2.0,487.0,28.0,17.0,0.0,15.0,20.0,0.0,1.0,1.0,0.0,80.0,13.0,20.0,39.4
-Julian Kristoffersen,no NOR,FW,Salernitana,24,1997,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,1.0,1.0,100.0,9.0,8.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,66.7
-Rade Krunić,ba BIH,"MF,FW",Milan,27,1993,28.0,15.0,1416.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.9,0.9,0.06,0.06,15.7,2.0,0.0,20.0,0.13,0.0,0.0,0.09,-0.9,-0.9,466.0,562.0,82.9,6609.0,1676.0,278.0,316.0,88.0,159.0,183.0,86.9,13.0,26.0,50.0,17.0,32.0,15.0,1.0,48.0,540.0,19.0,8.0,3.0,2.0,11.0,4.0,0.0,1.0,0.0,3.0,3.0,8.0,39.0,2.48,32.0,0.0,1.0,3.0,3.0,3.0,0.19,1.0,0.0,0.0,2.0,0.0,0.0,33.0,18.0,16.0,14.0,3.0,15.0,31.0,48.4,16.0,19.0,2.0,17.0,16.0,17.0,0.0,710.0,31.0,126.0,369.0,226.0,25.0,710.0,12.0,15.0,80.0,340.0,20.0,18.0,3.0,461.0,27.0,7.0,0.0,21.0,29.0,1.0,0.0,0.0,0.0,86.0,24.0,27.0,47.1
-Dejan Kulusevski,se SWE,"FW,MF",Juventus,21,2000,20.0,5.0,772.0,1.0,3.0,0.0,0.0,1.0,0.0,0.12,0.35,0.47,0.12,0.47,2.1,2.1,0.25,0.25,8.6,6.0,0.0,33.3,0.7,0.06,0.17,0.12,-1.1,-1.1,194.0,243.0,79.8,2683.0,641.0,119.0,135.0,88.1,51.0,63.0,81.0,12.0,16.0,75.0,10.0,17.0,12.0,2.0,24.0,238.0,4.0,0.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,3.0,1.0,8.0,25.0,2.92,17.0,0.0,5.0,2.0,1.0,5.0,0.58,3.0,0.0,2.0,0.0,0.0,0.0,15.0,12.0,9.0,6.0,0.0,8.0,21.0,38.1,13.0,14.0,0.0,14.0,5.0,5.0,0.0,379.0,7.0,52.0,151.0,184.0,47.0,379.0,18.0,32.0,56.3,243.0,24.0,15.0,7.0,266.0,41.0,23.0,0.0,29.0,10.0,3.0,0.0,0.0,0.0,48.0,9.0,12.0,42.9
-Marash Kumbulla,al ALB,DF,Roma,21,2000,17.0,13.0,1025.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.08,0.08,11.4,3.0,0.0,42.9,0.26,0.0,0.0,0.13,-0.9,-0.9,544.0,633.0,85.9,10848.0,3587.0,171.0,196.0,87.2,306.0,329.0,93.0,62.0,87.0,71.3,3.0,20.0,0.0,0.0,31.0,624.0,9.0,9.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,6.0,0.53,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,13.0,7.0,1.0,8.0,15.0,53.3,7.0,17.0,8.0,9.0,16.0,26.0,0.0,737.0,48.0,348.0,368.0,24.0,9.0,737.0,1.0,1.0,100.0,453.0,5.0,1.0,0.0,503.0,6.0,2.0,0.0,22.0,11.0,0.0,0.0,0.0,0.0,65.0,22.0,14.0,61.1
-Giorgos Kyriakopoulos,gr GRE,"DF,FW",Sassuolo,25,1996,29.0,22.0,1975.0,0.0,5.0,0.0,0.0,6.0,1.0,0.0,0.23,0.23,0.0,0.23,1.4,1.4,0.07,0.07,21.9,10.0,0.0,33.3,0.46,0.0,0.0,0.05,-1.4,-1.4,1045.0,1282.0,81.5,16080.0,6013.0,550.0,598.0,92.0,390.0,459.0,85.0,68.0,156.0,43.6,36.0,57.0,26.0,16.0,62.0,1099.0,183.0,21.0,1.0,2.0,99.0,22.0,3.0,19.0,0.0,140.0,0.0,24.0,65.0,2.97,44.0,6.0,5.0,2.0,6.0,9.0,0.41,6.0,1.0,0.0,0.0,2.0,0.0,30.0,14.0,19.0,7.0,4.0,19.0,38.0,50.0,19.0,32.0,9.0,23.0,11.0,52.0,0.0,1510.0,83.0,516.0,586.0,425.0,26.0,1510.0,35.0,54.0,64.8,923.0,78.0,46.0,11.0,1020.0,23.0,19.0,0.0,29.0,37.0,3.0,0.0,0.0,0.0,125.0,17.0,19.0,47.2
-Andrea La Mantia,it ITA,"FW,MF",Empoli,30,1991,18.0,3.0,488.0,2.0,0.0,0.0,0.0,0.0,0.0,0.37,0.0,0.37,0.37,0.37,1.8,1.8,0.34,0.34,5.4,3.0,0.0,17.6,0.55,0.12,0.67,0.11,0.2,0.2,63.0,105.0,60.0,763.0,163.0,47.0,62.0,75.8,12.0,27.0,44.4,2.0,4.0,50.0,8.0,5.0,1.0,0.0,7.0,102.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,13.0,2.4,9.0,0.0,0.0,3.0,1.0,3.0,0.55,1.0,0.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,2.0,1.0,2.0,50.0,1.0,3.0,1.0,2.0,1.0,6.0,0.0,158.0,6.0,14.0,64.0,80.0,31.0,158.0,0.0,0.0,0.0,74.0,3.0,2.0,2.0,112.0,12.0,7.0,0.0,6.0,6.0,3.0,1.0,0.0,0.0,11.0,27.0,17.0,61.4
-Sam Lammers,nl NED,"FW,MF",Atalanta,24,1997,2.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,20.0,60.0,155.0,55.0,7.0,10.0,70.0,4.0,7.0,57.1,0.0,0.0,0.0,0.0,2.0,1.0,0.0,3.0,19.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,0.0,14.0,17.0,3.0,31.0,0.0,2.0,0.0,18.0,0.0,0.0,0.0,28.0,6.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,50.0
-Kevin Lasagna,it ITA,"MF,FW",Hellas Verona,28,1992,28.0,11.0,1184.0,2.0,4.0,0.0,0.0,1.0,0.0,0.15,0.3,0.46,0.15,0.46,4.2,4.2,0.32,0.32,13.2,16.0,0.0,39.0,1.22,0.05,0.13,0.1,-2.2,-2.2,179.0,273.0,65.6,2677.0,657.0,103.0,132.0,78.0,45.0,70.0,64.3,15.0,22.0,68.2,15.0,10.0,13.0,2.0,28.0,254.0,15.0,0.0,1.0,5.0,10.0,0.0,0.0,0.0,0.0,2.0,4.0,17.0,37.0,2.82,26.0,0.0,1.0,6.0,3.0,7.0,0.53,6.0,0.0,0.0,0.0,1.0,0.0,13.0,7.0,4.0,5.0,4.0,4.0,15.0,26.7,11.0,16.0,0.0,16.0,3.0,7.0,0.0,447.0,11.0,42.0,181.0,237.0,63.0,447.0,10.0,19.0,52.6,226.0,26.0,13.0,7.0,315.0,55.0,27.0,0.0,19.0,10.0,12.0,1.0,0.0,0.0,45.0,31.0,49.0,38.8
-Darko Lazović,rs SRB,DF,Hellas Verona,30,1990,34.0,32.0,2766.0,1.0,7.0,0.0,0.0,2.0,0.0,0.03,0.23,0.26,0.03,0.26,4.2,4.2,0.14,0.14,30.7,10.0,1.0,21.7,0.33,0.02,0.1,0.09,-3.2,-3.2,1077.0,1540.0,69.9,16904.0,8100.0,557.0,674.0,82.6,428.0,584.0,73.3,65.0,155.0,41.9,44.0,100.0,55.0,14.0,174.0,1266.0,261.0,9.0,0.0,2.0,94.0,6.0,3.0,0.0,0.0,246.0,13.0,50.0,91.0,2.96,79.0,4.0,3.0,5.0,0.0,11.0,0.36,11.0,0.0,0.0,0.0,0.0,0.0,36.0,23.0,20.0,8.0,8.0,21.0,39.0,53.8,18.0,28.0,4.0,24.0,19.0,49.0,1.0,1812.0,72.0,369.0,759.0,700.0,120.0,1812.0,26.0,55.0,47.3,883.0,101.0,54.0,38.0,1075.0,34.0,8.0,0.0,13.0,8.0,11.0,0.0,0.0,0.0,200.0,14.0,18.0,43.8
-Manuel Lazzari,it ITA,DF,Lazio,27,1993,31.0,16.0,1665.0,3.0,3.0,0.0,0.0,3.0,0.0,0.16,0.16,0.32,0.16,0.32,1.1,1.1,0.06,0.06,18.5,6.0,0.0,50.0,0.32,0.25,0.5,0.09,1.9,1.9,859.0,1014.0,84.7,11935.0,3467.0,507.0,554.0,91.5,269.0,324.0,83.0,32.0,54.0,59.3,13.0,50.0,15.0,6.0,50.0,836.0,178.0,18.0,1.0,1.0,56.0,0.0,0.0,0.0,0.0,160.0,0.0,18.0,34.0,1.84,26.0,2.0,2.0,0.0,3.0,11.0,0.6,6.0,1.0,1.0,0.0,2.0,1.0,28.0,14.0,13.0,15.0,0.0,16.0,26.0,61.5,10.0,10.0,2.0,8.0,12.0,16.0,1.0,1179.0,35.0,283.0,571.0,345.0,38.0,1179.0,29.0,58.0,50.0,693.0,80.0,64.0,15.0,775.0,24.0,6.0,0.0,18.0,44.0,4.0,0.0,0.0,0.0,85.0,4.0,20.0,16.7
-Patrick Leal,us USA,FW,Venezia,18,2003,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Rafael Leão,pt POR,FW,Milan,22,1999,34.0,31.0,2605.0,11.0,10.0,0.0,0.0,4.0,0.0,0.38,0.35,0.73,0.38,0.73,10.6,10.6,0.36,0.36,28.9,38.0,0.0,39.2,1.31,0.11,0.29,0.11,0.4,0.4,555.0,787.0,70.5,9136.0,2681.0,284.0,368.0,77.2,187.0,244.0,76.6,60.0,84.0,71.4,45.0,46.0,48.0,12.0,101.0,759.0,21.0,3.0,4.0,9.0,63.0,2.0,0.0,0.0,0.0,14.0,7.0,38.0,113.0,3.9,65.0,0.0,28.0,9.0,11.0,19.0,0.66,13.0,0.0,5.0,0.0,1.0,0.0,17.0,7.0,3.0,9.0,5.0,10.0,20.0,50.0,10.0,12.0,1.0,11.0,12.0,8.0,0.0,1166.0,12.0,58.0,434.0,707.0,172.0,1166.0,98.0,163.0,60.1,808.0,161.0,109.0,69.0,914.0,71.0,50.0,0.0,25.0,45.0,8.0,2.0,0.0,0.0,99.0,28.0,37.0,43.1
-Lucas Leiva,br BRA,MF,Lazio,34,1987,35.0,19.0,1697.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,18.9,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,1131.0,1235.0,91.6,17560.0,5617.0,624.0,665.0,93.8,405.0,430.0,94.2,73.0,86.0,84.9,6.0,131.0,3.0,0.0,84.0,1194.0,37.0,36.0,0.0,2.0,4.0,1.0,0.0,1.0,0.0,0.0,4.0,12.0,21.0,1.11,17.0,1.0,0.0,0.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,0.0,55.0,30.0,26.0,25.0,4.0,15.0,53.0,28.3,38.0,27.0,10.0,17.0,28.0,37.0,0.0,1412.0,71.0,359.0,953.0,108.0,0.0,1412.0,3.0,4.0,75.0,640.0,10.0,6.0,0.0,974.0,4.0,8.0,0.0,37.0,17.0,0.0,0.0,0.0,0.0,122.0,24.0,16.0,60.0
-Luca Lezzerini,it ITA,GK,Venezia,26,1995,6.0,6.0,495.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,155.0,199.0,77.9,3899.0,2488.0,32.0,32.0,100.0,74.0,74.0,100.0,46.0,90.0,51.1,0.0,0.0,0.0,0.0,0.0,132.0,67.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.18,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,215.0,193.0,214.0,1.0,0.0,0.0,215.0,0.0,0.0,0.0,115.0,0.0,0.0,0.0,80.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
-Ben Lhassine Kone,ci CIV,MF,Torino,21,2000,1.0,0.0,81.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,37.0,78.4,571.0,121.0,13.0,17.0,76.5,12.0,15.0,80.0,4.0,4.0,100.0,2.0,2.0,0.0,0.0,3.0,37.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.22,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,41.0,2.0,10.0,28.0,3.0,0.0,41.0,0.0,0.0,0.0,21.0,1.0,0.0,0.0,23.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,6.0,1.0,0.0,100.0
-Matthijs de Ligt,nl NED,DF,Juventus,21,1999,31.0,29.0,2674.0,3.0,1.0,0.0,0.0,4.0,1.0,0.1,0.03,0.13,0.1,0.13,1.9,1.9,0.06,0.06,29.7,10.0,0.0,50.0,0.34,0.15,0.3,0.09,1.1,1.1,1510.0,1704.0,88.6,29785.0,10136.0,482.0,522.0,92.3,841.0,899.0,93.5,170.0,241.0,70.5,9.0,74.0,4.0,1.0,68.0,1643.0,58.0,34.0,1.0,12.0,4.0,0.0,0.0,0.0,0.0,9.0,3.0,6.0,22.0,0.74,16.0,0.0,1.0,3.0,1.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,34.0,19.0,21.0,13.0,0.0,15.0,18.0,83.3,3.0,31.0,21.0,10.0,26.0,103.0,0.0,1967.0,262.0,934.0,947.0,93.0,36.0,1967.0,4.0,6.0,66.7,1125.0,18.0,10.0,0.0,1356.0,12.0,3.0,1.0,32.0,15.0,2.0,0.0,1.0,0.0,129.0,89.0,52.0,63.1
-Anderson Lima,br BRA,MF,Lazio,21,1999,4.0,0.0,65.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.14,0.14,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,24.0,31.0,77.4,342.0,68.0,15.0,18.0,83.3,7.0,8.0,87.5,1.0,3.0,33.3,0.0,0.0,1.0,0.0,3.0,30.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.38,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,2.0,0.0,2.0,1.0,0.0,1.0,2.0,1.0,0.0,47.0,3.0,15.0,26.0,7.0,1.0,47.0,1.0,1.0,100.0,27.0,0.0,0.0,0.0,38.0,3.0,2.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Karol Linetty,pl POL,"MF,FW",Torino,26,1995,16.0,11.0,896.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.1,0.1,10.0,2.0,0.0,15.4,0.2,0.0,0.0,0.08,-1.0,-1.0,218.0,279.0,78.1,3045.0,760.0,125.0,151.0,82.8,76.0,92.0,82.6,7.0,13.0,53.8,16.0,19.0,7.0,0.0,22.0,264.0,14.0,3.0,0.0,1.0,8.0,8.0,0.0,4.0,0.0,1.0,1.0,11.0,33.0,3.32,26.0,2.0,1.0,3.0,0.0,2.0,0.2,2.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,3.0,4.0,7.0,6.0,18.0,33.3,12.0,8.0,0.0,8.0,3.0,2.0,0.0,386.0,3.0,42.0,178.0,169.0,25.0,386.0,5.0,9.0,55.6,192.0,10.0,14.0,5.0,241.0,28.0,7.0,0.0,30.0,10.0,0.0,0.0,0.0,0.0,42.0,9.0,17.0,34.6
-Stanislav Lobotka,sk SVK,MF,Napoli,26,1994,23.0,19.0,1686.0,1.0,0.0,0.0,0.0,2.0,0.0,0.05,0.0,0.05,0.05,0.05,0.1,0.1,0.01,0.01,18.7,1.0,0.0,50.0,0.05,0.5,1.0,0.06,0.9,0.9,1327.0,1419.0,93.5,19317.0,4857.0,727.0,755.0,96.3,476.0,516.0,92.2,57.0,65.0,87.7,15.0,128.0,6.0,0.0,93.0,1401.0,18.0,17.0,2.0,2.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,38.0,2.03,36.0,0.0,0.0,0.0,2.0,1.0,0.05,0.0,0.0,0.0,0.0,1.0,0.0,39.0,24.0,16.0,20.0,3.0,14.0,36.0,38.9,22.0,9.0,1.0,8.0,12.0,13.0,1.0,1541.0,48.0,277.0,1095.0,185.0,3.0,1541.0,13.0,16.0,81.3,1130.0,25.0,35.0,0.0,1249.0,13.0,12.0,0.0,19.0,35.0,0.0,0.0,0.0,0.0,144.0,8.0,10.0,44.4
-Manuel Locatelli,it ITA,MF,Juventus,23,1998,31.0,23.0,2160.0,3.0,3.0,0.0,0.0,6.0,0.0,0.12,0.12,0.25,0.12,0.25,2.5,2.5,0.11,0.11,24.0,3.0,0.0,14.3,0.12,0.14,1.0,0.12,0.5,0.5,1221.0,1435.0,85.1,22351.0,8006.0,534.0,595.0,89.7,528.0,591.0,89.3,138.0,200.0,69.0,18.0,144.0,25.0,1.0,147.0,1371.0,58.0,54.0,6.0,22.0,8.0,0.0,0.0,0.0,0.0,2.0,6.0,16.0,57.0,2.38,52.0,0.0,1.0,3.0,0.0,8.0,0.33,7.0,0.0,0.0,1.0,0.0,0.0,44.0,25.0,21.0,16.0,7.0,21.0,47.0,44.7,26.0,43.0,21.0,22.0,22.0,33.0,0.0,1676.0,86.0,445.0,976.0,268.0,28.0,1676.0,19.0,28.0,67.9,920.0,15.0,21.0,4.0,1183.0,26.0,16.0,0.0,42.0,25.0,2.0,0.0,0.0,0.0,167.0,31.0,22.0,58.5
-Maxime Lopez,fr FRA,MF,Sassuolo,23,1997,35.0,33.0,2938.0,2.0,1.0,0.0,0.0,14.0,0.0,0.06,0.03,0.09,0.06,0.09,1.2,1.2,0.04,0.04,32.6,6.0,0.0,37.5,0.18,0.13,0.33,0.07,0.8,0.8,2357.0,2599.0,90.7,36504.0,12683.0,1271.0,1338.0,95.0,849.0,927.0,91.6,155.0,199.0,77.9,49.0,254.0,15.0,4.0,236.0,2522.0,75.0,69.0,1.0,5.0,17.0,2.0,0.0,1.0,0.0,4.0,2.0,23.0,107.0,3.28,97.0,0.0,4.0,2.0,1.0,10.0,0.31,10.0,0.0,0.0,0.0,0.0,0.0,69.0,36.0,40.0,27.0,2.0,35.0,87.0,40.2,52.0,33.0,7.0,26.0,42.0,38.0,1.0,2895.0,128.0,746.0,1784.0,394.0,24.0,2895.0,30.0,46.0,65.2,1878.0,77.0,67.0,9.0,2231.0,37.0,28.0,0.0,37.0,31.0,0.0,0.0,0.0,0.0,217.0,7.0,6.0,53.8
-Matteo Lovato,it ITA,DF,Atalanta,21,2000,6.0,3.0,305.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.4,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.1,-0.1,165.0,194.0,85.1,2978.0,935.0,77.0,83.0,92.8,69.0,79.0,87.3,18.0,24.0,75.0,2.0,14.0,1.0,0.0,10.0,189.0,5.0,5.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,1.18,4.0,0.0,0.0,0.0,0.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,4.0,1.0,0.0,0.0,1.0,0.0,1.0,4.0,2.0,2.0,7.0,8.0,0.0,230.0,17.0,80.0,127.0,24.0,3.0,230.0,0.0,1.0,0.0,115.0,2.0,3.0,1.0,158.0,6.0,2.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,12.0,10.0,5.0,66.7
-Matteo Lovato,it ITA,DF,Cagliari,21,2000,16.0,14.0,1238.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,13.8,1.0,0.0,16.7,0.07,0.0,0.0,0.09,-0.5,-0.5,488.0,592.0,82.4,10110.0,4268.0,139.0,159.0,87.4,268.0,298.0,89.9,69.0,111.0,62.2,4.0,21.0,2.0,0.0,21.0,535.0,55.0,52.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,5.0,0.36,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,15.0,13.0,10.0,0.0,8.0,20.0,40.0,12.0,21.0,10.0,11.0,28.0,43.0,0.0,729.0,110.0,418.0,305.0,15.0,6.0,729.0,3.0,4.0,75.0,319.0,3.0,4.0,0.0,332.0,7.0,5.0,0.0,16.0,14.0,0.0,0.0,1.0,0.0,106.0,21.0,23.0,47.7
-Hirving Lozano,mx MEX,FW,Napoli,26,1995,30.0,20.0,1613.0,5.0,5.0,0.0,0.0,3.0,0.0,0.28,0.28,0.56,0.28,0.56,7.0,6.8,0.39,0.38,17.9,19.0,0.0,38.0,1.06,0.1,0.26,0.14,-2.0,-1.8,454.0,585.0,77.6,6134.0,1388.0,298.0,342.0,87.1,126.0,157.0,80.3,13.0,23.0,56.5,28.0,22.0,32.0,12.0,53.0,571.0,12.0,1.0,1.0,2.0,49.0,1.0,0.0,0.0,0.0,10.0,2.0,30.0,65.0,3.63,52.0,0.0,5.0,3.0,4.0,12.0,0.67,9.0,0.0,1.0,0.0,2.0,0.0,28.0,20.0,12.0,11.0,5.0,8.0,30.0,26.7,22.0,24.0,0.0,24.0,9.0,9.0,0.0,813.0,12.0,109.0,311.0,406.0,85.0,813.0,29.0,44.0,65.9,532.0,82.0,37.0,31.0,621.0,52.0,32.0,0.0,27.0,33.0,14.0,1.0,0.0,0.0,61.0,10.0,13.0,43.5
-José Luis Palomino,ar ARG,DF,Atalanta,31,1990,34.0,30.0,2672.0,1.0,0.0,0.0,0.0,9.0,0.0,0.03,0.0,0.03,0.03,0.03,2.3,2.3,0.08,0.08,29.7,3.0,0.0,21.4,0.1,0.07,0.33,0.16,-1.3,-1.3,1349.0,1663.0,81.1,26093.0,9737.0,469.0,539.0,87.0,700.0,802.0,87.3,160.0,265.0,60.4,5.0,89.0,7.0,2.0,113.0,1595.0,66.0,60.0,0.0,5.0,9.0,0.0,0.0,0.0,0.0,6.0,2.0,15.0,20.0,0.67,18.0,0.0,0.0,1.0,0.0,2.0,0.07,1.0,0.0,0.0,0.0,0.0,1.0,78.0,40.0,42.0,33.0,3.0,32.0,50.0,64.0,18.0,43.0,21.0,22.0,100.0,80.0,2.0,2013.0,173.0,885.0,1051.0,103.0,35.0,2013.0,6.0,8.0,75.0,1029.0,15.0,14.0,1.0,1070.0,15.0,7.0,0.0,39.0,17.0,1.0,0.0,0.0,0.0,272.0,105.0,48.0,68.6
-Saša Lukić,rs SRB,MF,Torino,24,1996,35.0,34.0,2982.0,5.0,4.0,3.0,3.0,10.0,0.0,0.15,0.12,0.27,0.06,0.18,5.2,2.8,0.16,0.09,33.1,7.0,4.0,24.1,0.21,0.07,0.29,0.1,-0.2,-0.8,1512.0,1741.0,86.8,26251.0,6157.0,649.0,714.0,90.9,691.0,760.0,90.9,129.0,164.0,78.7,32.0,146.0,18.0,3.0,148.0,1666.0,71.0,62.0,6.0,10.0,25.0,5.0,2.0,1.0,0.0,4.0,4.0,29.0,80.0,2.41,57.0,10.0,4.0,4.0,3.0,10.0,0.3,7.0,0.0,1.0,1.0,0.0,1.0,51.0,34.0,17.0,27.0,7.0,19.0,43.0,44.2,24.0,34.0,6.0,28.0,24.0,41.0,0.0,2039.0,59.0,340.0,1254.0,469.0,36.0,2036.0,28.0,38.0,73.7,1222.0,68.0,72.0,12.0,1348.0,43.0,8.0,0.0,85.0,46.0,1.0,0.0,0.0,0.0,203.0,42.0,54.0,43.8
-Sebastiano Luperto,it ITA,DF,Empoli,24,1996,24.0,22.0,1958.0,0.0,1.0,0.0,0.0,8.0,1.0,0.0,0.05,0.05,0.0,0.05,0.8,0.8,0.04,0.04,21.8,3.0,0.0,33.3,0.14,0.0,0.0,0.09,-0.8,-0.8,821.0,982.0,83.6,16406.0,6050.0,249.0,279.0,89.2,478.0,524.0,91.2,88.0,159.0,55.3,9.0,56.0,5.0,2.0,76.0,895.0,82.0,42.0,1.0,8.0,6.0,0.0,0.0,0.0,0.0,4.0,5.0,4.0,17.0,0.78,14.0,1.0,0.0,1.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,29.0,17.0,17.0,10.0,2.0,10.0,20.0,50.0,10.0,32.0,26.0,6.0,45.0,132.0,0.0,1256.0,273.0,717.0,503.0,40.0,13.0,1256.0,1.0,2.0,50.0,691.0,21.0,14.0,0.0,699.0,8.0,2.0,1.0,30.0,5.0,1.0,0.0,1.0,0.0,92.0,44.0,44.0,50.0
-Charalambos Lykogiannis,gr GRE,"DF,FW",Cagliari,27,1993,28.0,21.0,1817.0,1.0,0.0,0.0,0.0,2.0,0.0,0.05,0.0,0.05,0.05,0.05,1.4,1.4,0.07,0.07,20.2,7.0,6.0,31.8,0.35,0.05,0.14,0.06,-0.4,-0.4,460.0,766.0,60.1,8461.0,3808.0,194.0,252.0,77.0,220.0,337.0,65.3,43.0,136.0,31.6,12.0,33.0,9.0,7.0,34.0,558.0,206.0,21.0,0.0,3.0,95.0,18.0,3.0,13.0,1.0,166.0,2.0,32.0,27.0,1.34,14.0,10.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,12.0,16.0,1.0,2.0,11.0,20.0,55.0,9.0,18.0,8.0,10.0,31.0,73.0,0.0,1003.0,89.0,364.0,386.0,269.0,18.0,1003.0,8.0,20.0,40.0,409.0,28.0,22.0,3.0,487.0,34.0,9.0,0.0,29.0,14.0,0.0,0.0,1.0,0.0,90.0,33.0,29.0,53.2
-Niki Mäenpää,fi FIN,GK,Venezia,36,1985,17.0,16.0,1485.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.06,0.06,0.0,0.06,0.0,0.0,0.0,0.0,16.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,353.0,523.0,67.5,9427.0,6883.0,95.0,96.0,99.0,152.0,156.0,97.4,102.0,265.0,38.5,1.0,4.0,1.0,0.0,0.0,327.0,195.0,52.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,2.0,568.0,493.0,565.0,3.0,0.0,0.0,568.0,0.0,0.0,0.0,264.0,0.0,0.0,0.0,212.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,22.0,7.0,0.0,100.0
-Giulio Maggiore,it ITA,MF,Spezia,23,1998,35.0,33.0,2819.0,2.0,3.0,0.0,0.0,9.0,0.0,0.06,0.1,0.16,0.06,0.16,4.4,4.3,0.14,0.14,31.3,8.0,0.0,19.0,0.26,0.05,0.25,0.1,-2.4,-2.3,834.0,1123.0,74.3,13492.0,4437.0,421.0,507.0,83.0,332.0,400.0,83.0,59.0,138.0,42.8,31.0,96.0,28.0,1.0,120.0,1103.0,11.0,4.0,7.0,3.0,13.0,0.0,0.0,0.0,0.0,3.0,9.0,25.0,73.0,2.33,60.0,0.0,4.0,3.0,5.0,5.0,0.16,5.0,0.0,0.0,0.0,0.0,0.0,58.0,32.0,20.0,32.0,6.0,31.0,77.0,40.3,46.0,30.0,5.0,25.0,29.0,33.0,0.0,1481.0,54.0,358.0,802.0,343.0,45.0,1481.0,16.0,43.0,37.2,833.0,39.0,36.0,10.0,971.0,72.0,28.0,0.0,64.0,67.0,1.0,0.0,1.0,0.0,206.0,33.0,42.0,44.0
-Francesco Magnanelli,it ITA,MF,Sassuolo,36,1984,12.0,2.0,271.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,228.0,255.0,89.4,3913.0,1045.0,111.0,119.0,93.3,85.0,90.0,94.4,24.0,34.0,70.6,1.0,24.0,1.0,0.0,20.0,239.0,16.0,16.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,4.0,1.0,0.0,1.0,9.0,11.1,8.0,3.0,1.0,2.0,1.0,3.0,0.0,274.0,18.0,66.0,186.0,24.0,0.0,274.0,0.0,0.0,0.0,130.0,1.0,1.0,0.0,183.0,1.0,1.0,0.0,10.0,7.0,0.0,0.0,0.0,0.0,42.0,3.0,3.0,50.0
-Giangiacomo Magnani,it ITA,DF,Hellas Verona,25,1995,14.0,5.0,530.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.15,0.15,5.9,1.0,0.0,20.0,0.17,0.0,0.0,0.17,-0.9,-0.9,174.0,229.0,76.0,3305.0,1190.0,57.0,69.0,82.6,97.0,119.0,81.5,17.0,31.0,54.8,0.0,17.0,1.0,0.0,12.0,223.0,5.0,3.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,7.0,5.0,5.0,0.0,8.0,16.0,50.0,8.0,5.0,3.0,2.0,10.0,46.0,0.0,318.0,49.0,147.0,160.0,13.0,5.0,318.0,0.0,0.0,0.0,158.0,5.0,1.0,0.0,157.0,4.0,0.0,0.0,11.0,9.0,0.0,0.0,0.0,0.0,26.0,19.0,14.0,57.6
-Giangiacomo Magnani,it ITA,DF,Sampdoria,25,1995,4.0,3.0,239.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,130.0,155.0,83.9,2576.0,927.0,39.0,45.0,86.7,76.0,80.0,95.0,14.0,27.0,51.9,0.0,5.0,0.0,0.0,3.0,152.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.38,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,0.0,0.0,1.0,1.0,100.0,0.0,2.0,2.0,0.0,7.0,12.0,0.0,185.0,30.0,126.0,59.0,0.0,0.0,185.0,0.0,0.0,0.0,117.0,2.0,0.0,0.0,132.0,1.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,6.0,7.0,3.0,70.0
-Mike Maignan,fr FRA,GK,Milan,26,1995,32.0,32.0,2880.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,914.0,1155.0,79.1,24901.0,17353.0,172.0,172.0,100.0,430.0,432.0,99.5,305.0,543.0,56.2,2.0,36.0,2.0,0.0,1.0,940.0,214.0,65.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,0.28,6.0,3.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,1.0,4.0,2.0,1208.0,868.0,1196.0,13.0,0.0,0.0,1208.0,0.0,0.0,0.0,798.0,0.0,0.0,0.0,660.0,2.0,1.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,51.0,6.0,2.0,75.0
-Ainsley Maitland-Niles,eng ENG,DF,Roma,23,1997,8.0,7.0,487.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.07,0.07,5.4,2.0,0.0,66.7,0.37,0.0,0.0,0.13,-0.4,-0.4,249.0,326.0,76.4,4079.0,1366.0,126.0,142.0,88.7,96.0,122.0,78.7,20.0,41.0,48.8,5.0,15.0,6.0,4.0,24.0,256.0,69.0,2.0,1.0,5.0,25.0,0.0,0.0,0.0,0.0,67.0,1.0,8.0,15.0,2.77,11.0,1.0,0.0,2.0,0.0,2.0,0.37,2.0,0.0,0.0,0.0,0.0,0.0,8.0,6.0,5.0,0.0,3.0,5.0,14.0,35.7,9.0,7.0,0.0,7.0,6.0,7.0,0.0,376.0,9.0,100.0,157.0,120.0,7.0,376.0,6.0,10.0,60.0,175.0,13.0,7.0,1.0,216.0,6.0,3.0,0.0,6.0,1.0,1.0,0.0,0.0,0.0,42.0,8.0,1.0,88.9
-Jean-Victor Makengo,fr FRA,MF,Udinese,23,1998,33.0,26.0,2351.0,1.0,3.0,0.0,0.0,7.0,1.0,0.04,0.11,0.15,0.04,0.15,3.0,3.0,0.11,0.11,26.1,10.0,0.0,31.3,0.38,0.03,0.1,0.09,-2.0,-2.0,702.0,843.0,83.3,10197.0,2658.0,404.0,449.0,90.0,232.0,266.0,87.2,32.0,49.0,65.3,26.0,70.0,15.0,3.0,95.0,829.0,8.0,1.0,2.0,3.0,8.0,1.0,0.0,0.0,0.0,4.0,6.0,22.0,59.0,2.26,45.0,0.0,5.0,4.0,3.0,6.0,0.23,5.0,0.0,1.0,0.0,0.0,0.0,30.0,21.0,7.0,17.0,6.0,15.0,29.0,51.7,14.0,26.0,6.0,20.0,19.0,17.0,0.0,1073.0,29.0,207.0,598.0,293.0,37.0,1073.0,39.0,53.0,73.6,658.0,55.0,51.0,11.0,706.0,41.0,19.0,1.0,27.0,38.0,1.0,0.0,0.0,0.0,150.0,10.0,24.0,29.4
-Nikola Maksimović,rs SRB,DF,Genoa,29,1991,14.0,13.0,1115.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,12.4,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.3,-0.3,421.0,508.0,82.9,8193.0,3305.0,145.0,165.0,87.9,221.0,244.0,90.6,52.0,88.0,59.1,2.0,37.0,1.0,1.0,35.0,467.0,40.0,28.0,1.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,4.0,0.32,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,6.0,10.0,4.0,0.0,7.0,9.0,77.8,2.0,17.0,11.0,6.0,12.0,61.0,1.0,634.0,121.0,369.0,248.0,23.0,9.0,634.0,1.0,3.0,33.3,291.0,3.0,3.0,0.0,318.0,4.0,3.0,0.0,10.0,8.0,0.0,0.0,1.0,0.0,73.0,33.0,21.0,61.1
-Kévin Malcuit,ma MAR,"DF,MF",Napoli,30,1991,8.0,2.0,288.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.31,0.31,0.0,0.31,0.0,0.0,0.01,0.01,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,110.0,156.0,70.5,1710.0,723.0,61.0,74.0,82.4,40.0,52.0,76.9,8.0,19.0,42.1,2.0,7.0,3.0,1.0,11.0,131.0,24.0,1.0,1.0,1.0,12.0,0.0,0.0,0.0,0.0,23.0,1.0,3.0,4.0,1.25,3.0,0.0,1.0,0.0,0.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,0.0,0.0,2.0,2.0,100.0,0.0,3.0,0.0,3.0,8.0,6.0,0.0,193.0,10.0,72.0,72.0,49.0,4.0,193.0,3.0,6.0,50.0,99.0,8.0,3.0,1.0,115.0,5.0,2.0,0.0,8.0,5.0,0.0,0.0,0.0,0.0,15.0,4.0,5.0,44.4
-Daniel Maldini,it ITA,MF,Milan,19,2001,8.0,2.0,148.0,1.0,0.0,0.0,0.0,1.0,0.0,0.61,0.0,0.61,0.61,0.61,0.3,0.3,0.21,0.21,1.6,1.0,0.0,33.3,0.61,0.33,1.0,0.12,0.7,0.7,33.0,48.0,68.8,479.0,118.0,20.0,27.0,74.1,12.0,14.0,85.7,1.0,2.0,50.0,1.0,1.0,1.0,0.0,3.0,45.0,2.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.61,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,4.0,3.0,1.0,2.0,6.0,33.3,4.0,4.0,0.0,4.0,1.0,0.0,0.0,75.0,0.0,9.0,36.0,31.0,9.0,75.0,2.0,3.0,66.7,42.0,7.0,4.0,1.0,50.0,8.0,1.0,0.0,4.0,1.0,1.0,0.0,0.0,0.0,5.0,3.0,5.0,37.5
-Youssef Maleh,it ITA,MF,Fiorentina,22,1998,28.0,11.0,1019.0,2.0,2.0,0.0,0.0,5.0,0.0,0.18,0.18,0.35,0.18,0.35,2.7,2.7,0.24,0.24,11.3,5.0,0.0,23.8,0.44,0.1,0.4,0.13,-0.7,-0.7,332.0,417.0,79.6,5343.0,1275.0,181.0,207.0,87.4,119.0,144.0,82.6,24.0,40.0,60.0,14.0,30.0,7.0,4.0,43.0,408.0,6.0,3.0,0.0,4.0,18.0,0.0,0.0,0.0,0.0,3.0,3.0,10.0,24.0,2.12,20.0,0.0,0.0,1.0,3.0,3.0,0.26,3.0,0.0,0.0,0.0,0.0,0.0,27.0,16.0,8.0,13.0,6.0,12.0,25.0,48.0,13.0,14.0,1.0,13.0,6.0,2.0,0.0,545.0,1.0,75.0,266.0,207.0,40.0,545.0,4.0,8.0,50.0,288.0,12.0,9.0,3.0,391.0,27.0,8.0,0.0,43.0,19.0,0.0,0.0,0.0,0.0,48.0,11.0,9.0,55.0
-Ruslan Malinovskyi,ua UKR,"MF,FW",Atalanta,28,1993,30.0,19.0,1592.0,6.0,5.0,0.0,0.0,10.0,0.0,0.34,0.28,0.62,0.34,0.62,3.8,3.8,0.22,0.22,17.7,17.0,7.0,29.8,0.96,0.11,0.35,0.07,2.2,2.2,669.0,928.0,72.1,11706.0,3601.0,293.0,352.0,83.2,257.0,329.0,78.1,87.0,162.0,53.7,45.0,70.0,48.0,6.0,111.0,836.0,90.0,22.0,7.0,15.0,102.0,60.0,29.0,28.0,1.0,8.0,2.0,29.0,104.0,5.87,55.0,24.0,9.0,9.0,7.0,8.0,0.45,6.0,0.0,0.0,1.0,1.0,0.0,18.0,10.0,3.0,10.0,5.0,5.0,19.0,26.3,14.0,27.0,3.0,24.0,5.0,1.0,0.0,1161.0,4.0,81.0,516.0,588.0,47.0,1161.0,47.0,65.0,72.3,731.0,59.0,54.0,10.0,883.0,70.0,48.0,0.0,40.0,41.0,3.0,0.0,0.0,0.0,95.0,18.0,19.0,48.6
-Rey Manaj,al ALB,FW,Spezia,24,1997,30.0,19.0,1768.0,5.0,0.0,2.0,3.0,9.0,0.0,0.25,0.0,0.25,0.15,0.15,7.9,5.5,0.4,0.28,19.6,14.0,6.0,27.5,0.71,0.06,0.21,0.11,-2.9,-2.5,329.0,448.0,73.4,4645.0,721.0,197.0,253.0,77.9,109.0,137.0,79.6,10.0,14.0,71.4,13.0,25.0,5.0,1.0,29.0,387.0,59.0,4.0,1.0,1.0,6.0,1.0,0.0,1.0,0.0,0.0,2.0,12.0,50.0,2.55,27.0,0.0,7.0,6.0,9.0,5.0,0.25,0.0,0.0,0.0,3.0,2.0,0.0,19.0,12.0,3.0,11.0,5.0,6.0,26.0,23.1,20.0,16.0,0.0,16.0,4.0,13.0,0.0,724.0,14.0,53.0,383.0,298.0,65.0,721.0,22.0,49.0,44.9,404.0,32.0,21.0,13.0,540.0,73.0,59.0,0.0,54.0,62.0,11.0,1.0,0.0,0.0,57.0,69.0,96.0,41.8
-Gianluca Mancini,it ITA,DF,Roma,25,1996,33.0,33.0,2878.0,0.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,0.0,3.0,2.9,0.09,0.09,32.0,6.0,0.0,25.0,0.19,0.0,0.0,0.12,-3.0,-2.9,1533.0,1817.0,84.4,29867.0,11118.0,513.0,564.0,91.0,828.0,893.0,92.7,180.0,319.0,56.4,6.0,125.0,16.0,2.0,137.0,1758.0,56.0,42.0,3.0,8.0,15.0,0.0,0.0,0.0,0.0,8.0,3.0,13.0,41.0,1.28,33.0,1.0,0.0,5.0,2.0,4.0,0.13,3.0,0.0,0.0,1.0,0.0,0.0,41.0,25.0,22.0,18.0,1.0,18.0,33.0,54.5,15.0,38.0,19.0,19.0,39.0,69.0,0.0,2067.0,229.0,951.0,1002.0,121.0,39.0,2067.0,4.0,5.0,80.0,1208.0,30.0,22.0,1.0,1525.0,13.0,3.0,1.0,59.0,15.0,1.0,0.0,1.0,0.0,129.0,70.0,31.0,69.3
-Leonardo Mancuso,it ITA,FW,Empoli,29,1992,8.0,5.0,425.0,1.0,0.0,0.0,0.0,0.0,0.0,0.21,0.0,0.21,0.21,0.21,1.9,1.9,0.41,0.41,4.7,5.0,0.0,41.7,1.06,0.08,0.2,0.16,-0.9,-0.9,51.0,77.0,66.2,806.0,180.0,32.0,42.0,76.2,11.0,21.0,52.4,7.0,11.0,63.6,3.0,1.0,5.0,1.0,5.0,67.0,10.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,9.0,1.9,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,6.0,0.0,6.0,2.0,0.0,2.0,1.0,2.0,0.0,113.0,2.0,9.0,40.0,65.0,13.0,113.0,0.0,0.0,0.0,61.0,5.0,4.0,1.0,75.0,11.0,4.0,0.0,1.0,2.0,5.0,0.0,0.0,0.0,11.0,1.0,11.0,8.3
-Rolando Mandragora,it ITA,MF,Torino,24,1997,21.0,16.0,1319.0,0.0,2.0,0.0,0.0,7.0,1.0,0.0,0.14,0.14,0.0,0.14,1.7,1.7,0.12,0.12,14.7,5.0,3.0,21.7,0.34,0.0,0.0,0.07,-1.7,-1.7,647.0,769.0,84.1,10725.0,3264.0,314.0,343.0,91.5,257.0,295.0,87.1,56.0,91.0,61.5,31.0,83.0,11.0,6.0,82.0,654.0,113.0,58.0,0.0,2.0,47.0,38.0,24.0,8.0,0.0,2.0,2.0,7.0,52.0,3.55,31.0,18.0,1.0,1.0,1.0,4.0,0.27,3.0,1.0,0.0,0.0,0.0,0.0,21.0,10.0,3.0,16.0,2.0,12.0,21.0,57.1,9.0,18.0,4.0,14.0,10.0,13.0,0.0,894.0,26.0,125.0,541.0,237.0,18.0,894.0,3.0,6.0,50.0,469.0,20.0,14.0,4.0,537.0,15.0,9.0,1.0,25.0,22.0,1.0,0.0,0.0,0.0,87.0,16.0,20.0,44.4
-Kostas Manolas,gr GRE,DF,Napoli,30,1991,4.0,3.0,313.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,223.0,234.0,95.3,4147.0,1502.0,86.0,88.0,97.7,114.0,119.0,95.8,22.0,24.0,91.7,0.0,14.0,0.0,0.0,13.0,228.0,5.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,2.0,3.0,66.7,1.0,2.0,1.0,1.0,4.0,10.0,1.0,253.0,35.0,88.0,163.0,2.0,0.0,253.0,0.0,0.0,0.0,180.0,2.0,1.0,0.0,199.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,5.0,50.0
-Riccardo Marchizza,it ITA,DF,Empoli,23,1998,19.0,16.0,1346.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.07,0.07,0.0,0.07,0.4,0.4,0.03,0.03,15.0,1.0,1.0,12.5,0.07,0.0,0.0,0.05,-0.4,-0.4,460.0,667.0,69.0,7988.0,2761.0,224.0,253.0,88.5,186.0,247.0,75.3,43.0,114.0,37.7,11.0,36.0,13.0,10.0,58.0,504.0,157.0,10.0,0.0,1.0,42.0,1.0,0.0,0.0,0.0,146.0,6.0,26.0,22.0,1.47,16.0,3.0,2.0,1.0,0.0,4.0,0.27,1.0,2.0,1.0,0.0,0.0,0.0,21.0,15.0,11.0,8.0,2.0,11.0,16.0,68.8,5.0,15.0,6.0,9.0,10.0,24.0,0.0,797.0,43.0,209.0,356.0,239.0,18.0,797.0,12.0,23.0,52.2,402.0,27.0,20.0,2.0,415.0,16.0,8.0,0.0,19.0,3.0,2.0,0.0,0.0,1.0,72.0,7.0,9.0,43.8
-Gian Marco Ferrari,it ITA,DF,Sassuolo,29,1992,36.0,35.0,3124.0,1.0,0.0,0.0,0.0,6.0,1.0,0.03,0.0,0.03,0.03,0.03,2.3,2.3,0.07,0.07,34.7,10.0,0.0,40.0,0.29,0.04,0.1,0.09,-1.3,-1.3,2028.0,2259.0,89.8,37880.0,14982.0,726.0,787.0,92.2,1008.0,1083.0,93.1,231.0,297.0,77.8,7.0,127.0,9.0,0.0,133.0,2070.0,184.0,120.0,2.0,24.0,1.0,0.0,0.0,0.0,0.0,6.0,5.0,6.0,30.0,0.86,26.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,11.0,10.0,6.0,0.0,10.0,23.0,43.5,13.0,37.0,27.0,10.0,43.0,114.0,2.0,2556.0,368.0,1343.0,1140.0,85.0,32.0,2556.0,8.0,12.0,66.7,1494.0,21.0,17.0,1.0,1741.0,23.0,5.0,1.0,25.0,37.0,1.0,0.0,0.0,0.0,167.0,79.0,43.0,64.8
-Davide Marfella,it ITA,GK,Napoli,21,1999,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,15.0,9.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Pablo Marí,es ESP,DF,Udinese,27,1993,15.0,15.0,1341.0,2.0,0.0,0.0,0.0,2.0,1.0,0.13,0.0,0.13,0.13,0.13,0.8,0.8,0.05,0.05,14.9,5.0,0.0,50.0,0.34,0.2,0.4,0.08,1.2,1.2,441.0,621.0,71.0,9269.0,4255.0,139.0,166.0,83.7,218.0,271.0,80.4,77.0,161.0,47.8,4.0,21.0,0.0,0.0,20.0,515.0,99.0,44.0,1.0,8.0,3.0,0.0,0.0,0.0,0.0,54.0,7.0,6.0,11.0,0.74,4.0,6.0,1.0,0.0,0.0,1.0,0.07,0.0,0.0,1.0,0.0,0.0,0.0,16.0,8.0,8.0,6.0,2.0,8.0,16.0,50.0,8.0,18.0,12.0,6.0,21.0,72.0,0.0,784.0,148.0,440.0,275.0,73.0,16.0,784.0,2.0,4.0,50.0,326.0,2.0,2.0,1.0,349.0,12.0,1.0,0.0,20.0,4.0,0.0,0.0,1.0,0.0,84.0,43.0,22.0,66.2
-Răzvan Marin,ro ROU,MF,Cagliari,25,1996,36.0,31.0,2816.0,0.0,5.0,0.0,0.0,6.0,1.0,0.0,0.16,0.16,0.0,0.16,2.3,2.3,0.07,0.07,31.3,7.0,9.0,17.1,0.22,0.0,0.0,0.06,-2.3,-2.3,997.0,1303.0,76.5,18286.0,5962.0,440.0,503.0,87.5,371.0,435.0,85.3,156.0,285.0,54.7,68.0,111.0,31.0,6.0,142.0,1113.0,183.0,83.0,6.0,12.0,127.0,78.0,27.0,43.0,0.0,9.0,7.0,27.0,118.0,3.77,70.0,36.0,4.0,4.0,3.0,10.0,0.32,8.0,1.0,0.0,0.0,0.0,1.0,42.0,21.0,16.0,22.0,4.0,24.0,54.0,44.4,30.0,23.0,5.0,18.0,10.0,17.0,1.0,1557.0,34.0,239.0,834.0,508.0,26.0,1557.0,22.0,43.0,51.2,899.0,49.0,51.0,5.0,966.0,53.0,32.0,1.0,36.0,31.0,1.0,0.0,0.0,0.0,168.0,20.0,25.0,44.4
-Lautaro Martínez,ar ARG,FW,Inter,23,1997,35.0,28.0,2282.0,21.0,3.0,3.0,6.0,6.0,0.0,0.83,0.12,0.95,0.71,0.83,21.2,17.0,0.84,0.67,25.4,47.0,0.0,42.0,1.85,0.16,0.38,0.15,-0.2,1.0,371.0,510.0,72.7,5262.0,1164.0,207.0,259.0,79.9,113.0,155.0,72.9,21.0,34.0,61.8,28.0,27.0,15.0,1.0,48.0,473.0,35.0,1.0,3.0,1.0,15.0,0.0,0.0,0.0,0.0,3.0,2.0,17.0,73.0,2.88,44.0,0.0,1.0,19.0,7.0,10.0,0.39,3.0,0.0,1.0,5.0,1.0,0.0,20.0,10.0,3.0,10.0,7.0,6.0,11.0,54.5,5.0,21.0,1.0,20.0,18.0,6.0,0.0,843.0,6.0,57.0,307.0,485.0,183.0,837.0,21.0,54.0,38.9,480.0,34.0,16.0,17.0,603.0,63.0,24.0,0.0,40.0,46.0,12.0,0.0,0.0,0.0,67.0,29.0,33.0,46.8
-Lucas Martínez Quarta,ar ARG,DF,Fiorentina,25,1996,20.0,16.0,1431.0,1.0,0.0,0.0,0.0,8.0,0.0,0.06,0.0,0.06,0.06,0.06,1.5,1.5,0.09,0.09,15.9,4.0,0.0,25.0,0.25,0.06,0.25,0.09,-0.5,-0.5,1007.0,1123.0,89.7,21071.0,7834.0,310.0,333.0,93.1,543.0,581.0,93.5,146.0,186.0,78.5,5.0,73.0,1.0,0.0,76.0,1083.0,39.0,33.0,0.0,17.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,8.0,14.0,0.88,12.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,25.0,23.0,11.0,2.0,21.0,34.0,61.8,13.0,22.0,9.0,13.0,19.0,46.0,0.0,1291.0,127.0,630.0,617.0,62.0,21.0,1291.0,11.0,16.0,68.8,834.0,22.0,16.0,1.0,894.0,12.0,7.0,0.0,30.0,11.0,0.0,0.0,1.0,0.0,121.0,47.0,32.0,59.5
-Adam Marušić,me MNE,DF,Lazio,28,1992,33.0,30.0,2721.0,1.0,0.0,0.0,0.0,6.0,1.0,0.03,0.0,0.03,0.03,0.03,0.3,0.3,0.01,0.01,30.2,3.0,0.0,37.5,0.1,0.13,0.33,0.04,0.7,0.7,1650.0,1887.0,87.4,23925.0,8274.0,938.0,1004.0,93.4,555.0,646.0,85.9,78.0,124.0,62.9,8.0,117.0,10.0,3.0,111.0,1645.0,239.0,33.0,0.0,4.0,29.0,0.0,0.0,0.0,0.0,206.0,3.0,17.0,27.0,0.89,23.0,2.0,1.0,0.0,1.0,4.0,0.13,3.0,0.0,1.0,0.0,0.0,0.0,30.0,18.0,16.0,12.0,2.0,13.0,32.0,40.6,19.0,19.0,8.0,11.0,41.0,71.0,0.0,2120.0,116.0,737.0,1064.0,333.0,15.0,2120.0,14.0,25.0,56.0,1173.0,52.0,27.0,6.0,1385.0,19.0,16.0,1.0,26.0,13.0,0.0,0.0,0.0,0.0,155.0,33.0,22.0,60.0
-Andrea Masiello,it ITA,DF,Genoa,35,1986,7.0,6.0,515.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,276.0,313.0,88.2,5179.0,2062.0,105.0,111.0,94.6,139.0,155.0,89.7,27.0,38.0,71.1,1.0,6.0,0.0,0.0,14.0,302.0,10.0,5.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.0,0.35,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,1.0,0.0,4.0,7.0,57.1,3.0,8.0,4.0,4.0,11.0,20.0,1.0,363.0,57.0,205.0,151.0,11.0,3.0,363.0,0.0,0.0,0.0,204.0,2.0,1.0,1.0,227.0,4.0,3.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,47.0,7.0,7.0,50.0
-Aleš Matějů,cz CZE,DF,Venezia,25,1996,9.0,9.0,727.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.12,0.12,0.0,0.12,0.3,0.3,0.03,0.03,8.1,2.0,0.0,100.0,0.25,0.0,0.0,0.14,-0.3,-0.3,217.0,294.0,73.8,3561.0,1647.0,112.0,136.0,82.4,78.0,101.0,77.2,20.0,38.0,52.6,7.0,11.0,8.0,5.0,20.0,253.0,40.0,2.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,38.0,1.0,7.0,15.0,1.86,14.0,0.0,1.0,0.0,0.0,2.0,0.25,2.0,0.0,0.0,0.0,0.0,0.0,16.0,12.0,10.0,5.0,1.0,13.0,29.0,44.8,16.0,10.0,6.0,4.0,9.0,15.0,0.0,366.0,38.0,125.0,142.0,100.0,8.0,366.0,5.0,5.0,100.0,164.0,9.0,5.0,0.0,191.0,6.0,4.0,0.0,13.0,8.0,1.0,0.0,0.0,0.0,33.0,11.0,3.0,78.6
-Borja Mayoral,es ESP,"FW,DF",Roma,24,1997,5.0,1.0,96.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.25,0.25,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.27,-0.3,-0.3,26.0,39.0,66.7,393.0,41.0,18.0,23.0,78.3,5.0,7.0,71.4,1.0,3.0,33.3,0.0,0.0,0.0,0.0,2.0,38.0,1.0,0.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.93,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,47.0,0.0,2.0,21.0,25.0,4.0,47.0,1.0,4.0,25.0,26.0,0.0,1.0,0.0,40.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Pasquale Mazzocchi,it ITA,DF,Venezia,26,1995,18.0,15.0,1243.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.03,0.03,13.8,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,446.0,596.0,74.8,7334.0,2607.0,241.0,272.0,88.6,154.0,211.0,73.0,43.0,80.0,53.8,5.0,26.0,7.0,3.0,33.0,473.0,121.0,7.0,2.0,4.0,46.0,0.0,0.0,0.0,0.0,114.0,2.0,16.0,11.0,0.8,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,8.0,11.0,4.0,3.0,10.0,26.0,38.5,16.0,11.0,8.0,3.0,21.0,31.0,1.0,762.0,49.0,285.0,291.0,198.0,5.0,762.0,17.0,37.0,45.9,426.0,44.0,32.0,1.0,406.0,34.0,13.0,0.0,22.0,6.0,0.0,0.0,0.0,0.0,74.0,11.0,10.0,52.4
-Pasquale Mazzocchi,it ITA,DF,Salernitana,26,1995,15.0,15.0,1269.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.2,0.2,0.01,0.01,14.1,2.0,1.0,40.0,0.14,0.0,0.0,0.04,-0.2,-0.2,416.0,579.0,71.8,7213.0,2846.0,199.0,231.0,86.1,164.0,220.0,74.5,43.0,100.0,43.0,18.0,24.0,17.0,12.0,40.0,452.0,127.0,11.0,0.0,3.0,79.0,17.0,0.0,16.0,0.0,98.0,0.0,12.0,35.0,2.48,21.0,8.0,0.0,1.0,4.0,4.0,0.28,3.0,1.0,0.0,0.0,0.0,0.0,28.0,19.0,15.0,11.0,2.0,14.0,34.0,41.2,20.0,5.0,0.0,5.0,11.0,31.0,0.0,725.0,41.0,217.0,293.0,227.0,10.0,725.0,18.0,37.0,48.6,361.0,43.0,25.0,4.0,392.0,31.0,12.0,0.0,18.0,7.0,1.0,0.0,0.0,0.0,62.0,11.0,9.0,55.0
-Ibrahima Mbaye,sn SEN,DF,Bologna,26,1994,6.0,1.0,108.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,52.0,65.4,381.0,230.0,27.0,33.0,81.8,6.0,15.0,40.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,42.0,10.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,1.0,1.0,0.0,1.0,6.0,0.0,63.0,11.0,23.0,28.0,12.0,0.0,63.0,2.0,2.0,100.0,24.0,0.0,1.0,0.0,35.0,0.0,1.0,0.0,3.0,1.0,1.0,0.0,1.0,0.0,3.0,3.0,4.0,42.9
-Weston McKennie,us USA,MF,Juventus,22,1998,21.0,15.0,1369.0,3.0,0.0,0.0,0.0,1.0,0.0,0.2,0.0,0.2,0.2,0.2,2.3,2.3,0.15,0.15,15.2,5.0,0.0,21.7,0.33,0.13,0.6,0.1,0.7,0.7,424.0,565.0,75.0,6664.0,1916.0,231.0,281.0,82.2,139.0,182.0,76.4,37.0,53.0,69.8,20.0,39.0,11.0,2.0,51.0,529.0,34.0,2.0,2.0,2.0,12.0,0.0,0.0,0.0,0.0,32.0,2.0,20.0,39.0,2.56,32.0,2.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,11.0,11.0,7.0,2.0,8.0,26.0,30.8,18.0,17.0,8.0,9.0,23.0,20.0,0.0,737.0,28.0,151.0,356.0,241.0,50.0,737.0,20.0,26.0,76.9,362.0,30.0,15.0,10.0,470.0,22.0,19.0,0.0,19.0,4.0,0.0,0.0,0.0,0.0,84.0,29.0,24.0,54.7
-Gary Medel,cl CHI,DF,Bologna,33,1987,33.0,32.0,2823.0,0.0,1.0,0.0,0.0,10.0,1.0,0.0,0.03,0.03,0.0,0.03,0.2,0.2,0.01,0.01,31.4,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,1508.0,1696.0,88.9,30848.0,12958.0,492.0,520.0,94.6,756.0,802.0,94.3,245.0,335.0,73.1,3.0,73.0,6.0,0.0,73.0,1559.0,131.0,121.0,2.0,5.0,2.0,0.0,0.0,0.0,0.0,8.0,6.0,10.0,17.0,0.54,14.0,2.0,1.0,0.0,0.0,3.0,0.1,2.0,1.0,0.0,0.0,0.0,0.0,39.0,23.0,27.0,11.0,1.0,16.0,36.0,44.4,20.0,30.0,21.0,9.0,44.0,112.0,0.0,1943.0,379.0,1111.0,819.0,29.0,2.0,1943.0,10.0,13.0,76.9,1108.0,12.0,5.0,2.0,1195.0,8.0,2.0,1.0,34.0,31.0,1.0,0.0,2.0,0.0,228.0,15.0,33.0,31.3
-Filippo Melegoni,it ITA,"MF,FW",Genoa,22,1999,25.0,10.0,980.0,1.0,0.0,0.0,0.0,1.0,0.0,0.09,0.0,0.09,0.09,0.09,0.9,0.9,0.08,0.08,10.9,7.0,1.0,53.8,0.64,0.08,0.14,0.07,0.1,0.1,234.0,347.0,67.4,3325.0,1086.0,133.0,168.0,79.2,73.0,104.0,70.2,14.0,37.0,37.8,15.0,14.0,11.0,3.0,27.0,323.0,22.0,6.0,3.0,0.0,34.0,12.0,5.0,5.0,0.0,3.0,2.0,19.0,30.0,2.76,21.0,4.0,3.0,0.0,1.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,0.0,20.0,12.0,5.0,8.0,7.0,8.0,16.0,50.0,8.0,10.0,1.0,9.0,11.0,8.0,1.0,492.0,12.0,75.0,195.0,229.0,26.0,492.0,8.0,16.0,50.0,279.0,28.0,23.0,4.0,296.0,40.0,12.0,0.0,15.0,20.0,2.0,0.0,0.0,0.0,72.0,5.0,20.0,20.0
-Arthur Melo,br BRA,MF,Juventus,24,1996,20.0,11.0,962.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,10.7,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.3,-0.3,626.0,700.0,89.4,11432.0,3015.0,247.0,272.0,90.8,291.0,308.0,94.5,71.0,81.0,87.7,6.0,64.0,5.0,0.0,58.0,666.0,33.0,32.0,2.0,4.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,16.0,18.0,1.69,15.0,0.0,2.0,0.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,25.0,12.0,10.0,14.0,1.0,13.0,24.0,54.2,11.0,11.0,2.0,9.0,7.0,8.0,1.0,784.0,28.0,199.0,487.0,108.0,7.0,784.0,10.0,11.0,90.9,469.0,13.0,12.0,0.0,566.0,8.0,3.0,0.0,20.0,31.0,0.0,0.0,0.0,0.0,92.0,4.0,6.0,40.0
-Alex Meret,it ITA,GK,Napoli,24,1997,7.0,7.0,619.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,176.0,197.0,89.3,4020.0,2763.0,51.0,51.0,100.0,75.0,76.0,98.7,49.0,67.0,73.1,0.0,0.0,0.0,0.0,0.0,149.0,47.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,206.0,183.0,205.0,1.0,0.0,0.0,206.0,0.0,0.0,0.0,124.0,0.0,0.0,0.0,98.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Yıldırım Mert Çetin,tr TUR,MF,Hellas Verona,24,1997,2.0,0.0,46.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,33.0,69.7,390.0,188.0,11.0,15.0,73.3,9.0,12.0,75.0,3.0,3.0,100.0,0.0,2.0,0.0,0.0,0.0,22.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,44.0,3.0,12.0,17.0,15.0,0.0,44.0,1.0,2.0,50.0,16.0,0.0,2.0,0.0,21.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,50.0
-Dries Mertens,be BEL,"FW,MF",Napoli,34,1987,30.0,16.0,1384.0,11.0,1.0,1.0,1.0,2.0,0.0,0.72,0.07,0.78,0.65,0.72,5.0,4.2,0.33,0.27,15.4,19.0,4.0,43.2,1.24,0.23,0.53,0.1,6.0,5.8,400.0,548.0,73.0,5833.0,1575.0,247.0,292.0,84.6,102.0,140.0,72.9,30.0,56.0,53.6,33.0,33.0,18.0,1.0,69.0,523.0,21.0,0.0,6.0,9.0,22.0,12.0,3.0,5.0,0.0,2.0,4.0,14.0,69.0,4.48,52.0,3.0,4.0,5.0,4.0,11.0,0.71,6.0,0.0,1.0,2.0,1.0,1.0,16.0,7.0,1.0,11.0,4.0,3.0,16.0,18.8,13.0,8.0,2.0,6.0,9.0,2.0,0.0,682.0,4.0,50.0,299.0,337.0,90.0,681.0,17.0,29.0,58.6,391.0,30.0,16.0,21.0,546.0,23.0,9.0,0.0,26.0,22.0,5.0,2.0,0.0,0.0,51.0,3.0,8.0,27.3
-Junior Messias,br BRA,"FW,MF",Milan,30,1991,26.0,14.0,1428.0,5.0,2.0,0.0,0.0,2.0,0.0,0.32,0.13,0.44,0.32,0.44,3.7,3.7,0.23,0.23,15.9,17.0,0.0,38.6,1.07,0.11,0.29,0.09,1.3,1.3,364.0,544.0,66.9,5269.0,1431.0,217.0,276.0,78.6,113.0,177.0,63.8,20.0,53.0,37.7,21.0,27.0,22.0,4.0,45.0,507.0,35.0,7.0,1.0,4.0,52.0,19.0,15.0,1.0,0.0,9.0,2.0,14.0,53.0,3.35,33.0,2.0,5.0,8.0,4.0,3.0,0.19,2.0,0.0,0.0,1.0,0.0,0.0,34.0,18.0,11.0,14.0,9.0,15.0,34.0,44.1,19.0,11.0,1.0,10.0,17.0,17.0,0.0,795.0,25.0,97.0,292.0,428.0,69.0,795.0,30.0,63.0,47.6,462.0,63.0,47.0,19.0,501.0,46.0,17.0,0.0,21.0,24.0,3.0,0.0,1.0,0.0,88.0,28.0,33.0,45.9
-Kingsley Michael,ng NGA,MF,Bologna,21,1999,2.0,1.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.8,1.0,0.0,100.0,1.18,0.0,0.0,0.02,0.0,0.0,23.0,26.0,88.5,371.0,77.0,12.0,13.0,92.3,9.0,10.0,90.0,2.0,3.0,66.7,0.0,3.0,0.0,0.0,2.0,25.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,2.0,0.0,1.0,2.0,50.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,39.0,4.0,17.0,20.0,3.0,0.0,39.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,21.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0
-Valentin Mihaila,ro ROU,"MF,FW",Atalanta,21,2000,5.0,0.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,0.8,1.0,0.0,100.0,1.18,0.0,0.0,0.06,-0.1,-0.1,17.0,33.0,51.5,229.0,37.0,12.0,21.0,57.1,5.0,6.0,83.3,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,33.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,2.0,0.0,2.0,0.0,0.0,0.0,49.0,0.0,7.0,14.0,28.0,6.0,49.0,2.0,3.0,66.7,24.0,3.0,0.0,3.0,31.0,7.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,4.0,20.0
-Mikael,br BRA,"FW,MF",Salernitana,22,1999,7.0,0.0,87.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.26,0.26,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,10.0,18.0,55.6,124.0,13.0,7.0,11.0,63.6,1.0,3.0,33.3,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.07,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,39.0,1.0,1.0,17.0,21.0,2.0,39.0,0.0,2.0,0.0,19.0,0.0,2.0,0.0,30.0,5.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,4.0,6.0,7.0,46.2
-Hilmir Mikaelsson,is ISL,FW,Venezia,17,2004,1.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,18.0,6.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,2.0,4.0,0.0,6.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,33.3
-Nikola Milenković,rs SRB,DF,Fiorentina,23,1997,34.0,34.0,2926.0,1.0,0.0,0.0,0.0,10.0,1.0,0.03,0.0,0.03,0.03,0.03,2.3,2.3,0.07,0.07,32.5,9.0,0.0,39.1,0.28,0.04,0.11,0.1,-1.3,-1.3,1877.0,2098.0,89.5,38438.0,11989.0,545.0,607.0,89.8,1076.0,1137.0,94.6,243.0,316.0,76.9,2.0,120.0,3.0,0.0,114.0,2019.0,78.0,73.0,0.0,38.0,2.0,0.0,0.0,0.0,0.0,5.0,1.0,12.0,17.0,0.52,14.0,0.0,0.0,3.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,54.0,32.0,31.0,20.0,3.0,29.0,34.0,85.3,5.0,30.0,15.0,15.0,39.0,94.0,0.0,2373.0,227.0,1171.0,1137.0,86.0,28.0,2373.0,2.0,2.0,100.0,1412.0,13.0,11.0,1.0,1634.0,11.0,4.0,1.0,48.0,21.0,0.0,0.0,1.0,0.0,172.0,98.0,32.0,75.4
-Sergej Milinković-Savić,rs SRB,MF,Lazio,26,1995,37.0,36.0,3100.0,11.0,10.0,0.0,0.0,6.0,1.0,0.32,0.29,0.61,0.32,0.61,7.5,7.5,0.22,0.22,34.4,31.0,7.0,41.3,0.9,0.15,0.35,0.1,3.5,3.5,1893.0,2367.0,80.0,29489.0,7484.0,1004.0,1170.0,85.8,652.0,768.0,84.9,145.0,233.0,62.2,52.0,168.0,48.0,10.0,215.0,2318.0,40.0,28.0,12.0,15.0,45.0,0.0,0.0,0.0,0.0,12.0,9.0,45.0,120.0,3.48,95.0,0.0,6.0,11.0,6.0,16.0,0.46,14.0,0.0,0.0,1.0,0.0,1.0,67.0,44.0,20.0,32.0,15.0,29.0,67.0,43.3,38.0,50.0,9.0,41.0,34.0,43.0,1.0,2838.0,83.0,448.0,1602.0,818.0,117.0,2838.0,45.0,77.0,58.4,1625.0,67.0,59.0,11.0,2306.0,99.0,48.0,1.0,56.0,45.0,4.0,0.0,0.0,0.0,200.0,100.0,69.0,59.2
-Vanja Milinković-Savić,rs SRB,GK,Torino,24,1997,27.0,27.0,2430.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,528.0,1026.0,51.5,18715.0,14556.0,52.0,53.0,98.1,243.0,247.0,98.4,233.0,717.0,32.5,0.0,51.0,3.0,0.0,1.0,747.0,271.0,102.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,7.0,0.26,4.0,3.0,0.0,0.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,2.0,1065.0,704.0,1051.0,14.0,1.0,1.0,1065.0,2.0,2.0,100.0,655.0,0.0,0.0,0.0,527.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,0.0,32.0,3.0,1.0,75.0
-Aleksei Miranchuk,ru RUS,"MF,FW",Atalanta,25,1995,19.0,7.0,772.0,2.0,5.0,0.0,0.0,0.0,0.0,0.23,0.58,0.82,0.23,0.82,1.6,1.6,0.18,0.18,8.6,4.0,0.0,28.6,0.47,0.14,0.5,0.11,0.4,0.4,310.0,384.0,80.7,4480.0,1088.0,183.0,212.0,86.3,94.0,112.0,83.9,20.0,30.0,66.7,22.0,24.0,15.0,2.0,34.0,364.0,18.0,4.0,3.0,2.0,17.0,9.0,7.0,1.0,0.0,3.0,2.0,8.0,41.0,4.77,29.0,3.0,5.0,2.0,2.0,8.0,0.93,6.0,0.0,2.0,0.0,0.0,0.0,11.0,7.0,3.0,7.0,1.0,4.0,12.0,33.3,8.0,3.0,0.0,3.0,1.0,7.0,0.0,486.0,8.0,37.0,195.0,258.0,40.0,486.0,16.0,28.0,57.1,371.0,31.0,21.0,16.0,396.0,25.0,17.0,0.0,14.0,19.0,3.0,0.0,0.0,0.0,36.0,9.0,14.0,39.1
-Fabio Miretti,it ITA,MF,Juventus,17,2003,6.0,4.0,321.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,117.0,145.0,80.7,2278.0,795.0,49.0,58.0,84.5,50.0,59.0,84.7,16.0,20.0,80.0,5.0,13.0,3.0,0.0,18.0,132.0,12.0,5.0,0.0,1.0,6.0,6.0,2.0,3.0,0.0,1.0,1.0,1.0,11.0,3.09,6.0,5.0,0.0,0.0,0.0,1.0,0.28,0.0,1.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,2.0,9.0,22.2,7.0,3.0,1.0,2.0,2.0,3.0,0.0,176.0,3.0,48.0,95.0,35.0,5.0,176.0,1.0,2.0,50.0,90.0,3.0,8.0,0.0,118.0,6.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,18.0,3.0,5.0,37.5
-Henrikh Mkhitaryan,am ARM,"MF,FW",Roma,32,1989,31.0,29.0,2495.0,5.0,6.0,0.0,0.0,4.0,1.0,0.18,0.22,0.4,0.18,0.4,4.7,4.7,0.17,0.17,27.7,16.0,0.0,29.1,0.58,0.09,0.31,0.09,0.3,0.3,959.0,1168.0,82.1,15698.0,3871.0,484.0,546.0,88.6,355.0,419.0,84.7,85.0,114.0,74.6,41.0,87.0,38.0,6.0,149.0,1128.0,35.0,15.0,8.0,9.0,46.0,7.0,5.0,2.0,0.0,12.0,5.0,28.0,94.0,3.39,69.0,1.0,5.0,9.0,7.0,13.0,0.47,10.0,0.0,1.0,1.0,1.0,0.0,45.0,29.0,11.0,27.0,7.0,17.0,52.0,32.7,35.0,33.0,2.0,31.0,22.0,33.0,0.0,1502.0,37.0,209.0,789.0,528.0,66.0,1502.0,34.0,56.0,60.7,788.0,81.0,61.0,15.0,1004.0,58.0,27.0,1.0,41.0,51.0,5.0,1.0,0.0,0.0,195.0,13.0,15.0,46.4
-Marco Modolo,it ITA,DF,Venezia,32,1989,6.0,4.0,392.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,4.4,1.0,0.0,100.0,0.23,0.0,0.0,0.14,-0.1,-0.1,130.0,161.0,80.7,2823.0,957.0,26.0,32.0,81.3,83.0,92.0,90.2,19.0,32.0,59.4,0.0,3.0,0.0,0.0,4.0,155.0,5.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.23,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,4.0,2.0,0.0,2.0,5.0,40.0,3.0,6.0,6.0,0.0,4.0,26.0,0.0,209.0,79.0,150.0,56.0,3.0,2.0,209.0,0.0,1.0,0.0,89.0,1.0,0.0,0.0,119.0,1.0,0.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,19.0,9.0,7.0,56.3
-Nahuel Molina,ar ARG,DF,Udinese,23,1998,35.0,31.0,2638.0,7.0,2.0,0.0,0.0,7.0,1.0,0.24,0.07,0.31,0.24,0.31,4.2,4.2,0.14,0.14,29.3,16.0,2.0,36.4,0.55,0.16,0.44,0.1,2.8,2.8,860.0,1228.0,70.0,13692.0,5664.0,478.0,562.0,85.1,280.0,401.0,69.8,77.0,179.0,43.0,39.0,78.0,51.0,27.0,100.0,1089.0,133.0,12.0,3.0,5.0,117.0,17.0,6.0,8.0,0.0,104.0,6.0,33.0,91.0,3.1,70.0,10.0,4.0,4.0,3.0,8.0,0.27,6.0,1.0,0.0,1.0,0.0,0.0,41.0,24.0,17.0,21.0,3.0,16.0,48.0,33.3,32.0,24.0,3.0,21.0,22.0,44.0,2.0,1508.0,54.0,366.0,600.0,562.0,53.0,1508.0,20.0,42.0,47.6,797.0,61.0,42.0,10.0,937.0,36.0,10.0,1.0,31.0,16.0,1.0,0.0,0.0,0.0,158.0,10.0,19.0,34.5
-Cristian Molinaro,it ITA,DF,Venezia,38,1983,8.0,6.0,548.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.16,0.16,0.0,0.16,0.0,0.0,0.0,0.0,6.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,243.0,325.0,74.8,4271.0,2040.0,108.0,124.0,87.1,108.0,135.0,80.0,23.0,56.0,41.1,5.0,18.0,5.0,4.0,34.0,263.0,62.0,6.0,0.0,2.0,16.0,0.0,0.0,0.0,0.0,56.0,0.0,4.0,14.0,2.3,12.0,0.0,1.0,0.0,1.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,0.0,12.0,9.0,10.0,2.0,0.0,5.0,7.0,71.4,2.0,7.0,2.0,5.0,6.0,20.0,0.0,384.0,27.0,149.0,158.0,78.0,1.0,384.0,5.0,7.0,71.4,173.0,13.0,11.0,1.0,219.0,6.0,3.0,0.0,7.0,8.0,1.0,0.0,0.0,0.0,22.0,4.0,2.0,66.7
-Lorenzo Montipò,it ITA,GK,Hellas Verona,25,1996,34.0,34.0,3060.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,539.0,973.0,55.4,18345.0,14461.0,74.0,74.0,100.0,197.0,203.0,97.0,263.0,682.0,38.6,0.0,22.0,0.0,0.0,0.0,648.0,316.0,85.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,3.0,0.09,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,16.0,3.0,1062.0,882.0,1058.0,4.0,0.0,0.0,1062.0,1.0,1.0,100.0,554.0,0.0,0.0,0.0,433.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,30.0,11.0,2.0,84.6
-Álvaro Morata,es ESP,FW,Juventus,28,1992,35.0,26.0,2302.0,9.0,4.0,1.0,1.0,5.0,0.0,0.35,0.16,0.51,0.31,0.47,9.6,8.8,0.37,0.34,25.6,24.0,1.0,40.0,0.94,0.13,0.33,0.15,-0.6,-0.8,489.0,659.0,74.2,7395.0,1340.0,261.0,332.0,78.6,152.0,194.0,78.4,41.0,56.0,73.2,44.0,28.0,23.0,5.0,54.0,641.0,17.0,3.0,6.0,8.0,20.0,0.0,0.0,0.0,0.0,3.0,1.0,20.0,81.0,3.17,60.0,0.0,3.0,5.0,12.0,13.0,0.51,9.0,0.0,1.0,2.0,1.0,0.0,18.0,9.0,4.0,9.0,5.0,8.0,31.0,25.8,23.0,26.0,1.0,25.0,5.0,24.0,0.0,957.0,27.0,104.0,406.0,459.0,127.0,956.0,23.0,47.0,48.9,573.0,65.0,46.0,24.0,771.0,78.0,43.0,0.0,48.0,77.0,20.0,2.0,1.0,0.0,88.0,36.0,33.0,52.2
-Raúl Moro,es ESP,FW,Lazio,18,2002,11.0,1.0,201.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.45,0.45,0.0,0.45,0.4,0.4,0.18,0.18,2.2,1.0,0.0,50.0,0.45,0.0,0.0,0.2,-0.4,-0.4,75.0,87.0,86.2,983.0,93.0,46.0,54.0,85.2,24.0,26.0,92.3,0.0,1.0,0.0,6.0,4.0,1.0,0.0,5.0,82.0,5.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,10.0,4.5,7.0,1.0,2.0,0.0,0.0,1.0,0.45,1.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,0.0,2.0,1.0,1.0,5.0,20.0,4.0,2.0,0.0,2.0,0.0,0.0,0.0,110.0,0.0,6.0,56.0,48.0,10.0,110.0,3.0,10.0,30.0,75.0,13.0,6.0,4.0,83.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
-Andrei Motoc,ro ROU,DF,Salernitana,19,2002,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,21.0,26.0,80.8,463.0,213.0,7.0,7.0,100.0,10.0,11.0,90.9,4.0,8.0,50.0,0.0,2.0,0.0,0.0,1.0,23.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,2.0,1.0,0.0,36.0,5.0,23.0,12.0,1.0,0.0,36.0,1.0,1.0,100.0,19.0,0.0,0.0,0.0,19.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Lys Mousset,fr FRA,"MF,FW",Salernitana,25,1996,6.0,2.0,160.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.56,0.56,0.0,0.56,0.2,0.2,0.09,0.09,1.8,1.0,0.0,50.0,0.56,0.0,0.0,0.08,-0.2,-0.2,32.0,45.0,71.1,444.0,105.0,18.0,24.0,75.0,13.0,16.0,81.3,0.0,0.0,0.0,3.0,4.0,3.0,0.0,3.0,37.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,5.0,2.8,5.0,0.0,0.0,0.0,0.0,1.0,0.56,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,65.0,0.0,2.0,32.0,32.0,6.0,65.0,3.0,7.0,42.9,37.0,3.0,2.0,1.0,45.0,8.0,2.0,0.0,4.0,2.0,1.0,0.0,1.0,0.0,5.0,0.0,5.0,0.0
-Samuel Mráz,sk SVK,FW,Spezia,24,1997,2.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,8.0,12.0,66.7,118.0,20.0,3.0,6.0,50.0,4.0,4.0,100.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,15.0,0.0,1.0,10.0,4.0,0.0,15.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,8.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,4.0,2.0,3.0,40.0
-Mert Müldür,tr TUR,DF,Sassuolo,22,1999,31.0,24.0,2046.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.03,0.03,22.7,4.0,0.0,44.4,0.18,0.0,0.0,0.08,-0.7,-0.7,957.0,1203.0,79.6,14816.0,6196.0,536.0,603.0,88.9,338.0,415.0,81.4,64.0,123.0,52.0,13.0,80.0,18.0,4.0,104.0,1028.0,174.0,26.0,4.0,6.0,40.0,0.0,0.0,0.0,0.0,148.0,1.0,23.0,34.0,1.5,29.0,1.0,3.0,1.0,0.0,4.0,0.18,4.0,0.0,0.0,0.0,0.0,0.0,52.0,35.0,43.0,7.0,2.0,27.0,49.0,55.1,22.0,25.0,6.0,19.0,24.0,44.0,1.0,1423.0,77.0,422.0,723.0,288.0,19.0,1423.0,20.0,28.0,71.4,799.0,67.0,49.0,13.0,896.0,28.0,10.0,0.0,24.0,15.0,0.0,0.0,0.0,0.0,117.0,9.0,20.0,31.0
-Luis Muriel,co COL,"FW,MF",Atalanta,30,1991,27.0,17.0,1539.0,9.0,8.0,2.0,2.0,1.0,0.0,0.53,0.47,0.99,0.41,0.88,8.1,6.6,0.47,0.38,17.1,16.0,5.0,29.1,0.94,0.13,0.44,0.12,0.9,0.4,541.0,756.0,71.6,8311.0,2422.0,293.0,363.0,80.7,158.0,224.0,70.5,52.0,94.0,55.3,60.0,42.0,32.0,4.0,86.0,655.0,98.0,20.0,4.0,6.0,75.0,55.0,26.0,19.0,0.0,6.0,3.0,14.0,121.0,7.09,67.0,26.0,13.0,9.0,6.0,14.0,0.82,10.0,1.0,3.0,0.0,0.0,0.0,15.0,4.0,2.0,7.0,6.0,3.0,19.0,15.8,16.0,12.0,0.0,12.0,4.0,5.0,0.0,1014.0,6.0,41.0,355.0,630.0,118.0,1012.0,62.0,104.0,59.6,629.0,57.0,45.0,43.0,779.0,63.0,47.0,0.0,14.0,27.0,7.0,0.0,0.0,0.0,65.0,30.0,32.0,48.4
-Vedat Muriqi,xk KVX,FW,Lazio,27,1994,11.0,1.0,215.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.18,0.18,2.4,2.0,0.0,50.0,0.84,0.0,0.0,0.11,-0.4,-0.4,42.0,64.0,65.6,652.0,64.0,22.0,33.0,66.7,17.0,27.0,63.0,3.0,3.0,100.0,0.0,1.0,3.0,0.0,4.0,62.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,2.1,3.0,0.0,0.0,0.0,2.0,1.0,0.42,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,5.0,0.0,5.0,0.0,0.0,0.0,0.0,2.0,0.0,93.0,1.0,13.0,38.0,43.0,9.0,93.0,3.0,5.0,60.0,67.0,1.0,2.0,1.0,84.0,10.0,3.0,0.0,5.0,9.0,1.0,1.0,0.0,0.0,6.0,11.0,14.0,44.0
-Nicola Murru,it ITA,DF,Sampdoria,26,1994,22.0,13.0,983.0,1.0,0.0,0.0,0.0,5.0,0.0,0.09,0.0,0.09,0.09,0.09,0.1,0.1,0.01,0.01,10.9,1.0,0.0,33.3,0.09,0.33,1.0,0.04,0.9,0.9,303.0,460.0,65.9,5333.0,2276.0,141.0,167.0,84.4,120.0,165.0,72.7,34.0,96.0,35.4,6.0,29.0,10.0,5.0,32.0,371.0,84.0,7.0,1.0,1.0,23.0,0.0,0.0,0.0,0.0,77.0,5.0,8.0,13.0,1.19,9.0,3.0,0.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,22.0,17.0,10.0,11.0,1.0,8.0,13.0,61.5,5.0,17.0,3.0,14.0,7.0,20.0,1.0,576.0,38.0,208.0,258.0,116.0,12.0,576.0,4.0,9.0,44.4,282.0,20.0,11.0,0.0,311.0,15.0,10.0,0.0,22.0,6.0,2.0,0.0,1.0,0.0,56.0,11.0,7.0,61.1
-Juan Musso,ar ARG,GK,Atalanta,27,1994,33.0,33.0,2932.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,715.0,958.0,74.6,20801.0,14921.0,97.0,97.0,100.0,349.0,355.0,98.3,262.0,490.0,53.5,0.0,11.0,0.0,0.0,0.0,688.0,264.0,56.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,3.0,0.09,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,1.0,1019.0,831.0,1010.0,10.0,0.0,0.0,1019.0,1.0,1.0,100.0,589.0,0.0,0.0,0.0,451.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,1.0,0.0,26.0,6.0,0.0,100.0
-Joakim Mæhle,dk DEN,"DF,MF",Atalanta,24,1997,26.0,15.0,1471.0,1.0,1.0,0.0,0.0,2.0,0.0,0.06,0.06,0.12,0.06,0.12,2.4,2.4,0.15,0.15,16.3,4.0,0.0,19.0,0.24,0.05,0.25,0.11,-1.4,-1.4,752.0,930.0,80.9,10287.0,3454.0,475.0,531.0,89.5,227.0,284.0,79.9,22.0,43.0,51.2,16.0,42.0,16.0,2.0,75.0,786.0,140.0,5.0,1.0,3.0,27.0,1.0,0.0,0.0,0.0,134.0,4.0,23.0,48.0,2.94,42.0,0.0,0.0,4.0,2.0,3.0,0.18,2.0,0.0,0.0,1.0,0.0,0.0,21.0,11.0,6.0,9.0,6.0,12.0,27.0,44.4,15.0,18.0,2.0,16.0,14.0,13.0,0.0,1113.0,25.0,240.0,476.0,409.0,33.0,1113.0,12.0,41.0,29.3,618.0,48.0,35.0,6.0,693.0,16.0,19.0,0.0,10.0,25.0,1.0,0.0,1.0,0.0,126.0,11.0,14.0,44.0
-Nahitan Nández,uy URU,"MF,DF",Cagliari,25,1995,21.0,16.0,1523.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.12,0.12,0.0,0.12,1.2,1.2,0.07,0.07,16.9,2.0,0.0,10.0,0.12,0.0,0.0,0.06,-1.2,-1.2,453.0,648.0,69.9,7767.0,2213.0,222.0,276.0,80.4,167.0,226.0,73.9,48.0,84.0,57.1,22.0,44.0,26.0,15.0,64.0,601.0,44.0,7.0,0.0,8.0,65.0,4.0,0.0,3.0,0.0,33.0,3.0,20.0,54.0,3.19,41.0,3.0,4.0,1.0,4.0,6.0,0.35,4.0,0.0,1.0,0.0,1.0,0.0,39.0,21.0,16.0,15.0,8.0,18.0,33.0,54.5,15.0,16.0,1.0,15.0,9.0,15.0,1.0,829.0,17.0,127.0,381.0,338.0,43.0,829.0,27.0,45.0,60.0,510.0,60.0,45.0,22.0,588.0,37.0,26.0,0.0,27.0,33.0,12.0,0.0,0.0,0.0,86.0,44.0,49.0,47.3
-Nani,pt POR,"MF,FW",Venezia,34,1986,10.0,3.0,287.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.31,0.31,0.0,0.31,0.1,0.1,0.03,0.03,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,91.0,132.0,68.9,1386.0,404.0,45.0,55.0,81.8,30.0,44.0,68.2,9.0,17.0,52.9,6.0,10.0,3.0,1.0,12.0,117.0,14.0,3.0,1.0,0.0,14.0,4.0,1.0,2.0,0.0,6.0,1.0,3.0,10.0,3.14,8.0,2.0,0.0,0.0,0.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,2.0,0.0,1.0,169.0,0.0,18.0,73.0,79.0,6.0,169.0,5.0,12.0,41.7,103.0,6.0,8.0,1.0,119.0,9.0,6.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,20.0,5.0,3.0,62.5
-Matija Nastasić,rs SRB,DF,Fiorentina,28,1993,5.0,2.0,219.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,2.4,1.0,0.0,100.0,0.41,0.0,0.0,0.12,-0.1,-0.1,143.0,154.0,92.9,3000.0,852.0,32.0,33.0,97.0,91.0,95.0,95.8,19.0,24.0,79.2,1.0,5.0,0.0,0.0,8.0,152.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,1.0,0.0,5.0,11.0,0.0,175.0,24.0,93.0,79.0,4.0,1.0,175.0,0.0,0.0,0.0,113.0,0.0,1.0,0.0,127.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,13.0,3.0,1.0,75.0
-Ilija Nestorovski,mk MKD,FW,Udinese,31,1990,7.0,1.0,188.0,1.0,0.0,0.0,0.0,1.0,0.0,0.48,0.0,0.48,0.48,0.48,0.7,0.7,0.35,0.35,2.1,1.0,0.0,20.0,0.48,0.2,1.0,0.15,0.3,0.3,44.0,62.0,71.0,668.0,238.0,25.0,31.0,80.6,16.0,22.0,72.7,1.0,1.0,100.0,4.0,6.0,4.0,1.0,10.0,59.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,4.0,1.91,4.0,0.0,0.0,0.0,0.0,1.0,0.48,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,86.0,4.0,9.0,50.0,27.0,8.0,86.0,0.0,1.0,0.0,48.0,5.0,2.0,0.0,70.0,5.0,0.0,0.0,3.0,7.0,2.0,0.0,0.0,0.0,4.0,3.0,8.0,27.3
-Aurélien Nguiamba,fr FRA,MF,Spezia,22,1999,3.0,0.0,51.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,34.0,79.4,418.0,181.0,13.0,13.0,100.0,12.0,17.0,70.6,1.0,2.0,50.0,0.0,4.0,0.0,0.0,5.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.19,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,3.0,66.7,1.0,2.0,1.0,1.0,0.0,1.0,0.0,40.0,2.0,9.0,26.0,5.0,0.0,40.0,1.0,1.0,100.0,19.0,1.0,0.0,0.0,21.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,0.0
-Dimitris Nikolaou,gr GRE,DF,Spezia,22,1998,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,1359.0,1674.0,81.2,26264.0,10730.0,498.0,553.0,90.1,662.0,739.0,89.6,173.0,330.0,52.4,2.0,93.0,2.0,1.0,92.0,1564.0,103.0,66.0,2.0,19.0,7.0,0.0,0.0,0.0,0.0,13.0,7.0,15.0,15.0,0.42,13.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,26.0,29.0,7.0,3.0,22.0,34.0,64.7,12.0,48.0,24.0,24.0,49.0,132.0,1.0,2009.0,301.0,1137.0,831.0,58.0,6.0,2009.0,17.0,21.0,81.0,1155.0,33.0,18.0,1.0,1204.0,28.0,10.0,0.0,31.0,20.0,0.0,0.0,1.0,1.0,247.0,39.0,50.0,43.8
-Jean-Pierre Nsame,cm CMR,FW,Venezia,28,1993,11.0,1.0,245.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.37,0.37,0.0,0.37,0.8,0.8,0.31,0.31,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.17,-0.8,-0.8,40.0,67.0,59.7,501.0,169.0,25.0,38.0,65.8,9.0,16.0,56.3,2.0,4.0,50.0,5.0,3.0,2.0,0.0,8.0,64.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,2.58,6.0,0.0,0.0,0.0,1.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,87.0,1.0,2.0,35.0,50.0,16.0,87.0,1.0,3.0,33.3,43.0,4.0,0.0,2.0,75.0,8.0,5.0,0.0,6.0,3.0,3.0,1.0,0.0,0.0,6.0,16.0,15.0,51.6
-Bram Nuytinck,nl NED,DF,Udinese,31,1990,27.0,23.0,2033.0,1.0,0.0,0.0,0.0,2.0,0.0,0.04,0.0,0.04,0.04,0.04,1.6,1.6,0.07,0.07,22.6,3.0,0.0,30.0,0.13,0.1,0.33,0.16,-0.6,-0.6,781.0,937.0,83.4,15612.0,5968.0,230.0,253.0,90.9,455.0,506.0,89.9,90.0,160.0,56.3,3.0,23.0,2.0,1.0,23.0,863.0,69.0,42.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,18.0,5.0,3.0,10.0,0.44,7.0,0.0,0.0,3.0,0.0,2.0,0.09,1.0,0.0,0.0,1.0,0.0,0.0,38.0,24.0,24.0,13.0,1.0,15.0,34.0,44.1,19.0,42.0,31.0,11.0,22.0,101.0,0.0,1175.0,243.0,748.0,395.0,37.0,19.0,1175.0,1.0,2.0,50.0,610.0,4.0,5.0,2.0,666.0,2.0,2.0,0.0,16.0,4.0,0.0,0.0,0.0,0.0,101.0,33.0,29.0,53.2
-Simeon Nwankwo,ng NGA,FW,Salernitana,29,1992,19.0,10.0,842.0,1.0,1.0,0.0,0.0,0.0,0.0,0.11,0.11,0.21,0.11,0.21,3.7,3.7,0.39,0.39,9.4,6.0,0.0,30.0,0.64,0.05,0.17,0.18,-2.7,-2.7,133.0,185.0,71.9,1692.0,208.0,76.0,97.0,78.4,31.0,42.0,73.8,7.0,10.0,70.0,8.0,9.0,3.0,0.0,10.0,176.0,9.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,18.0,1.92,12.0,0.0,1.0,3.0,2.0,1.0,0.11,0.0,0.0,1.0,0.0,0.0,0.0,5.0,5.0,0.0,4.0,1.0,4.0,10.0,40.0,6.0,8.0,3.0,5.0,3.0,10.0,0.0,279.0,14.0,27.0,128.0,127.0,42.0,279.0,7.0,10.0,70.0,167.0,3.0,4.0,2.0,223.0,30.0,23.0,0.0,12.0,14.0,9.0,0.0,0.0,0.0,15.0,19.0,37.0,33.9
-M'Bala Nzola,ao ANG,FW,Spezia,24,1996,21.0,10.0,1068.0,2.0,1.0,0.0,0.0,2.0,0.0,0.17,0.08,0.25,0.17,0.25,2.5,2.5,0.21,0.21,11.9,13.0,0.0,59.1,1.1,0.09,0.15,0.11,-0.5,-0.5,192.0,244.0,78.7,2372.0,264.0,108.0,127.0,85.0,37.0,54.0,68.5,12.0,15.0,80.0,10.0,7.0,3.0,0.0,13.0,225.0,19.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,22.0,1.85,16.0,1.0,3.0,2.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,1.0,6.0,16.7,5.0,8.0,0.0,8.0,0.0,13.0,0.0,392.0,14.0,29.0,154.0,217.0,52.0,392.0,16.0,27.0,59.3,230.0,16.0,11.0,12.0,283.0,53.0,21.0,0.0,30.0,7.0,14.0,0.0,1.0,0.0,24.0,28.0,48.0,36.8
-Adam Obert,sk SVK,"DF,MF",Cagliari,18,2002,6.0,3.0,274.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,69.0,106.0,65.1,1337.0,420.0,27.0,33.0,81.8,31.0,37.0,83.8,11.0,25.0,44.0,0.0,4.0,1.0,1.0,5.0,97.0,7.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,6.0,2.0,0.0,5.0,6.0,83.3,1.0,6.0,4.0,2.0,4.0,11.0,0.0,143.0,19.0,84.0,44.0,18.0,0.0,143.0,4.0,6.0,66.7,79.0,0.0,1.0,0.0,77.0,5.0,4.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,13.0,3.0,7.0,30.0
-Joel Obi,ng NGA,"MF,DF",Salernitana,30,1991,21.0,12.0,1143.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.08,0.08,0.0,0.08,1.3,1.3,0.1,0.1,12.7,2.0,0.0,20.0,0.16,0.0,0.0,0.13,-1.3,-1.3,275.0,368.0,74.7,3690.0,1013.0,172.0,196.0,87.8,66.0,90.0,73.3,18.0,34.0,52.9,14.0,12.0,3.0,3.0,20.0,349.0,19.0,3.0,0.0,1.0,25.0,7.0,3.0,4.0,0.0,8.0,0.0,10.0,21.0,1.65,15.0,5.0,0.0,1.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,0.0,23.0,14.0,5.0,14.0,4.0,5.0,12.0,41.7,7.0,17.0,6.0,11.0,10.0,7.0,0.0,493.0,17.0,120.0,238.0,143.0,26.0,493.0,4.0,7.0,57.1,264.0,10.0,12.0,0.0,289.0,20.0,16.0,0.0,32.0,21.0,0.0,0.0,0.0,0.0,56.0,16.0,16.0,50.0
-Brian Oddei,it ITA,FW,Sassuolo,18,2002,2.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,1.42,1.42,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.1,-0.1,5.0,5.0,100.0,45.0,1.0,5.0,5.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.25,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,1.0,4.0,1.0,6.0,1.0,1.0,100.0,5.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Álvaro Odriozola,es ESP,DF,Fiorentina,25,1995,25.0,18.0,1733.0,1.0,2.0,0.0,0.0,4.0,1.0,0.05,0.1,0.16,0.05,0.16,1.0,1.0,0.05,0.05,19.3,2.0,0.0,50.0,0.1,0.25,0.5,0.26,0.0,0.0,885.0,1030.0,85.9,14157.0,4062.0,438.0,475.0,92.2,376.0,425.0,88.5,56.0,75.0,74.7,26.0,36.0,16.0,9.0,55.0,877.0,152.0,11.0,0.0,1.0,52.0,2.0,0.0,1.0,0.0,139.0,1.0,28.0,54.0,2.81,45.0,4.0,3.0,0.0,1.0,4.0,0.21,3.0,0.0,1.0,0.0,0.0,0.0,25.0,15.0,12.0,6.0,7.0,15.0,32.0,46.9,17.0,17.0,6.0,11.0,8.0,25.0,2.0,1192.0,56.0,349.0,462.0,386.0,55.0,1192.0,12.0,25.0,48.0,693.0,75.0,41.0,17.0,773.0,25.0,12.0,0.0,15.0,12.0,1.0,1.0,1.0,0.0,88.0,1.0,18.0,5.3
-Stefano Okaka,it ITA,FW,Udinese,31,1989,2.0,0.0,22.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,4.09,4.09,0.0,4.09,0.1,0.1,0.26,0.26,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,4.0,5.0,80.0,49.0,12.0,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,8.57,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,9.0,1.0,1.0,5.0,4.0,2.0,9.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-David Okereke,ng NGA,"FW,MF",Venezia,23,1997,32.0,24.0,2053.0,7.0,0.0,0.0,0.0,5.0,1.0,0.31,0.0,0.31,0.31,0.31,5.2,5.2,0.23,0.23,22.8,19.0,0.0,47.5,0.83,0.18,0.37,0.13,1.8,1.8,319.0,463.0,68.9,4844.0,1016.0,180.0,231.0,77.9,96.0,136.0,70.6,27.0,43.0,62.8,13.0,17.0,18.0,4.0,43.0,449.0,9.0,0.0,1.0,2.0,27.0,0.0,0.0,0.0,0.0,4.0,5.0,13.0,43.0,1.88,29.0,0.0,6.0,2.0,4.0,7.0,0.31,4.0,0.0,1.0,0.0,2.0,0.0,16.0,10.0,4.0,9.0,3.0,3.0,20.0,15.0,17.0,19.0,3.0,16.0,10.0,20.0,0.0,693.0,27.0,84.0,280.0,345.0,82.0,693.0,26.0,50.0,52.0,419.0,60.0,31.0,25.0,495.0,53.0,29.0,0.0,30.0,32.0,9.0,1.0,0.0,0.0,73.0,33.0,59.0,35.9
-Christian Oliva,uy URU,MF,Cagliari,25,1996,4.0,0.0,48.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,33.0,84.8,451.0,114.0,11.0,12.0,91.7,17.0,18.0,94.4,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,30.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,1.0,4.0,25.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,2.0,10.0,19.0,5.0,0.0,33.0,0.0,0.0,0.0,22.0,2.0,1.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0
-Sérgio Oliveira,pt POR,MF,Roma,29,1992,14.0,13.0,892.0,2.0,0.0,1.0,1.0,5.0,0.0,0.2,0.0,0.2,0.1,0.1,1.4,0.7,0.14,0.07,9.9,5.0,2.0,45.5,0.5,0.09,0.2,0.06,0.6,0.3,394.0,493.0,79.9,6790.0,2095.0,184.0,210.0,87.6,148.0,175.0,84.6,46.0,79.0,58.2,15.0,33.0,7.0,0.0,41.0,442.0,49.0,30.0,3.0,6.0,32.0,19.0,7.0,10.0,0.0,0.0,2.0,5.0,32.0,3.23,16.0,7.0,1.0,3.0,3.0,4.0,0.4,0.0,0.0,1.0,2.0,1.0,0.0,27.0,14.0,11.0,14.0,2.0,15.0,30.0,50.0,15.0,13.0,0.0,13.0,10.0,7.0,0.0,600.0,14.0,126.0,349.0,133.0,11.0,599.0,8.0,15.0,53.3,285.0,10.0,8.0,1.0,393.0,9.0,10.0,0.0,12.0,25.0,0.0,0.0,0.0,0.0,64.0,8.0,6.0,57.1
-Riccardo Orsolini,it ITA,"FW,MF",Bologna,24,1997,29.0,21.0,1785.0,6.0,3.0,2.0,2.0,2.0,0.0,0.3,0.15,0.45,0.2,0.35,7.2,5.6,0.36,0.28,19.8,16.0,5.0,31.4,0.81,0.08,0.25,0.11,-1.2,-1.6,481.0,744.0,64.7,7878.0,2450.0,262.0,333.0,78.7,133.0,206.0,64.6,58.0,123.0,47.2,21.0,40.0,20.0,10.0,60.0,659.0,83.0,21.0,5.0,18.0,90.0,42.0,30.0,1.0,0.0,13.0,2.0,23.0,57.0,2.87,26.0,15.0,4.0,5.0,7.0,6.0,0.3,3.0,2.0,0.0,1.0,0.0,0.0,22.0,14.0,10.0,11.0,1.0,13.0,29.0,44.8,16.0,9.0,4.0,5.0,5.0,14.0,0.0,969.0,17.0,118.0,450.0,409.0,55.0,967.0,26.0,58.0,44.8,549.0,38.0,16.0,13.0,719.0,51.0,29.0,0.0,20.0,44.0,13.0,0.0,0.0,0.0,73.0,26.0,35.0,42.6
-Victor Osimhen,ng NGA,FW,Napoli,22,1998,27.0,23.0,1983.0,14.0,2.0,0.0,0.0,5.0,1.0,0.64,0.09,0.73,0.64,0.73,13.7,13.7,0.62,0.62,22.0,29.0,0.0,31.9,1.32,0.15,0.48,0.15,0.3,0.3,232.0,338.0,68.6,3347.0,423.0,137.0,169.0,81.1,61.0,92.0,66.3,19.0,30.0,63.3,17.0,9.0,2.0,0.0,18.0,331.0,5.0,0.0,0.0,4.0,9.0,0.0,0.0,0.0,0.0,2.0,2.0,17.0,61.0,2.77,39.0,0.0,8.0,4.0,8.0,8.0,0.36,4.0,0.0,0.0,0.0,3.0,1.0,10.0,5.0,1.0,2.0,7.0,2.0,6.0,33.3,4.0,16.0,3.0,13.0,3.0,17.0,0.0,617.0,22.0,34.0,220.0,372.0,142.0,617.0,30.0,54.0,55.6,380.0,49.0,36.0,24.0,502.0,76.0,32.0,0.0,37.0,38.0,19.0,4.0,0.0,0.0,37.0,49.0,55.0,47.1
-David Ospina,co COL,GK,Napoli,32,1988,31.0,31.0,2790.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,816.0,979.0,83.4,19414.0,13796.0,198.0,200.0,99.0,401.0,407.0,98.5,211.0,361.0,58.4,0.0,11.0,0.0,0.0,0.0,785.0,192.0,57.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,6.0,0.19,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,1.0,1035.0,875.0,1022.0,14.0,0.0,0.0,1035.0,1.0,1.0,100.0,671.0,0.0,0.0,0.0,560.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,48.0,9.0,2.0,81.8
-Adam Ounas,dz ALG,"MF,FW",Napoli,24,1996,15.0,1.0,326.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.27,0.27,3.6,2.0,0.0,15.4,0.55,0.0,0.0,0.08,-1.0,-1.0,158.0,204.0,77.5,2975.0,828.0,81.0,95.0,85.3,49.0,63.0,77.8,25.0,33.0,75.8,12.0,12.0,11.0,1.0,31.0,191.0,13.0,3.0,2.0,5.0,16.0,9.0,5.0,0.0,0.0,1.0,0.0,4.0,29.0,8.06,18.0,3.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,3.0,3.0,3.0,7.0,42.9,4.0,3.0,0.0,3.0,2.0,3.0,0.0,268.0,4.0,28.0,99.0,151.0,20.0,268.0,24.0,28.0,85.7,184.0,28.0,14.0,12.0,212.0,19.0,11.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,23.0,1.0,3.0,25.0
-Daniele Padelli,it ITA,GK,Udinese,35,1985,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,78.0,111.0,70.3,1695.0,1200.0,31.0,31.0,100.0,29.0,29.0,100.0,15.0,48.0,31.3,0.0,0.0,0.0,0.0,0.0,87.0,24.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,122.0,114.0,122.0,0.0,0.0,0.0,122.0,0.0,0.0,0.0,65.0,0.0,0.0,0.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,100.0
-Simone Pafundi,it ITA,FW,Udinese,15,2006,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.38,0.38,0.3,1.0,0.0,100.0,3.91,0.0,0.0,0.1,-0.1,-0.1,10.0,12.0,83.3,135.0,44.0,6.0,6.0,100.0,2.0,3.0,66.7,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.91,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,2.0,9.0,2.0,0.0,13.0,0.0,0.0,0.0,11.0,2.0,0.0,0.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Martin Palumbo,no NOR,FW,Juventus,19,2002,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,21.0,11.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,2.0,1.0,0.0,5.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Goran Pandev,mk MKD,"FW,MF",Genoa,38,1983,20.0,7.0,843.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.11,0.11,0.0,0.11,0.6,0.6,0.06,0.06,9.4,3.0,0.0,50.0,0.32,0.0,0.0,0.1,-0.6,-0.6,167.0,236.0,70.8,2297.0,660.0,98.0,130.0,75.4,49.0,63.0,77.8,6.0,10.0,60.0,10.0,13.0,6.0,1.0,25.0,224.0,10.0,0.0,4.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,20.0,2.14,14.0,0.0,1.0,1.0,4.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,9.0,0.0,9.0,3.0,1.0,2.0,2.0,0.0,0.0,312.0,1.0,25.0,147.0,142.0,27.0,312.0,10.0,22.0,45.5,234.0,9.0,10.0,4.0,272.0,26.0,25.0,0.0,5.0,37.0,6.0,0.0,0.0,0.0,41.0,6.0,19.0,24.0
-Ivor Pandur,hr CRO,GK,Hellas Verona,21,2000,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.0,68.0,76.5,1559.0,1163.0,6.0,6.0,100.0,25.0,28.0,89.3,20.0,33.0,60.6,0.0,0.0,0.0,0.0,0.0,50.0,18.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,77.0,71.0,77.0,0.0,0.0,0.0,77.0,0.0,0.0,0.0,45.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Fabiano Parisi,it ITA,DF,Empoli,20,2000,25.0,16.0,1477.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.06,0.06,0.0,0.06,0.9,0.9,0.06,0.06,16.4,4.0,0.0,25.0,0.24,0.0,0.0,0.06,-0.9,-0.9,585.0,777.0,75.3,9644.0,4062.0,292.0,323.0,90.4,234.0,311.0,75.2,46.0,99.0,46.5,9.0,58.0,14.0,1.0,74.0,598.0,174.0,14.0,1.0,4.0,43.0,1.0,0.0,0.0,0.0,159.0,5.0,12.0,34.0,2.07,25.0,2.0,6.0,1.0,0.0,5.0,0.3,3.0,0.0,2.0,0.0,0.0,0.0,35.0,19.0,25.0,5.0,5.0,13.0,31.0,41.9,18.0,30.0,10.0,20.0,22.0,42.0,0.0,1040.0,79.0,381.0,424.0,263.0,17.0,1040.0,29.0,55.0,52.7,589.0,58.0,41.0,6.0,519.0,42.0,18.0,0.0,22.0,29.0,0.0,0.0,1.0,0.0,138.0,7.0,11.0,38.9
-Mario Pašalić,hr CRO,"MF,FW",Atalanta,26,1995,37.0,24.0,2002.0,13.0,6.0,0.0,0.0,3.0,0.0,0.58,0.27,0.85,0.58,0.85,9.1,9.1,0.41,0.41,22.2,20.0,0.0,40.8,0.9,0.27,0.65,0.19,3.9,3.9,801.0,997.0,80.3,12561.0,3133.0,407.0,484.0,84.1,302.0,346.0,87.3,57.0,74.0,77.0,39.0,64.0,25.0,0.0,105.0,972.0,21.0,9.0,1.0,6.0,4.0,0.0,0.0,0.0,0.0,6.0,4.0,24.0,70.0,3.15,60.0,0.0,3.0,6.0,0.0,13.0,0.58,13.0,0.0,0.0,0.0,0.0,0.0,27.0,12.0,8.0,13.0,6.0,12.0,30.0,40.0,18.0,27.0,6.0,21.0,20.0,14.0,0.0,1257.0,24.0,163.0,657.0,444.0,109.0,1257.0,15.0,31.0,48.4,712.0,38.0,32.0,18.0,922.0,59.0,22.0,0.0,30.0,14.0,6.0,0.0,0.0,0.0,107.0,50.0,47.0,51.5
-Patric,es ESP,DF,Lazio,28,1993,24.0,19.0,1649.0,1.0,1.0,0.0,0.0,7.0,1.0,0.05,0.05,0.11,0.05,0.11,0.8,0.8,0.04,0.04,18.3,2.0,0.0,33.3,0.11,0.17,0.5,0.13,0.2,0.2,1353.0,1452.0,93.2,26174.0,8178.0,500.0,529.0,94.5,616.0,641.0,96.1,198.0,238.0,83.2,6.0,45.0,1.0,0.0,52.0,1402.0,50.0,37.0,1.0,14.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,1.0,13.0,0.71,12.0,0.0,0.0,1.0,0.0,2.0,0.11,1.0,0.0,0.0,1.0,0.0,0.0,21.0,15.0,17.0,4.0,0.0,9.0,20.0,45.0,11.0,22.0,11.0,11.0,12.0,44.0,2.0,1569.0,179.0,751.0,795.0,30.0,9.0,1569.0,2.0,2.0,100.0,983.0,5.0,3.0,1.0,1233.0,7.0,1.0,1.0,24.0,7.0,0.0,0.0,0.0,1.0,97.0,17.0,32.0,34.7
-Rui Patrício,pt POR,GK,Roma,33,1988,38.0,38.0,3420.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,831.0,1081.0,76.9,23327.0,16301.0,156.0,157.0,99.4,379.0,384.0,98.7,293.0,531.0,55.2,0.0,5.0,0.0,0.0,2.0,744.0,332.0,110.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,3.0,0.08,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,10.0,3.0,1138.0,1008.0,1136.0,2.0,0.0,0.0,1138.0,1.0,1.0,100.0,606.0,0.0,0.0,0.0,493.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,39.0,3.0,0.0,100.0
-Leonardo Pavoletti,it ITA,FW,Cagliari,32,1988,33.0,14.0,1518.0,5.0,1.0,0.0,0.0,9.0,0.0,0.3,0.06,0.36,0.3,0.36,6.2,6.2,0.37,0.37,16.9,11.0,0.0,30.6,0.65,0.14,0.45,0.17,-1.2,-1.2,313.0,487.0,64.3,3952.0,668.0,206.0,293.0,70.3,70.0,123.0,56.9,12.0,18.0,66.7,16.0,20.0,5.0,0.0,25.0,481.0,5.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,27.0,1.6,21.0,0.0,2.0,2.0,2.0,3.0,0.18,2.0,0.0,0.0,0.0,1.0,0.0,10.0,6.0,2.0,5.0,3.0,3.0,9.0,33.3,6.0,9.0,5.0,4.0,2.0,12.0,0.0,666.0,19.0,64.0,319.0,287.0,89.0,666.0,6.0,10.0,60.0,301.0,2.0,5.0,2.0,516.0,39.0,13.0,0.0,45.0,29.0,4.0,1.0,0.0,0.0,50.0,126.0,121.0,51.0
-Pedro,es ESP,FW,Lazio,34,1987,32.0,25.0,2033.0,9.0,4.0,0.0,0.0,5.0,0.0,0.4,0.18,0.58,0.4,0.58,5.2,5.2,0.23,0.23,22.6,20.0,0.0,55.6,0.89,0.25,0.45,0.15,3.8,3.8,785.0,936.0,83.9,11242.0,2582.0,469.0,523.0,89.7,219.0,262.0,83.6,51.0,78.0,65.4,29.0,53.0,31.0,3.0,102.0,907.0,27.0,3.0,3.0,9.0,31.0,1.0,0.0,0.0,0.0,13.0,2.0,14.0,64.0,2.83,54.0,0.0,4.0,3.0,2.0,9.0,0.4,8.0,0.0,1.0,0.0,0.0,0.0,36.0,23.0,8.0,19.0,9.0,16.0,47.0,34.0,31.0,18.0,2.0,16.0,6.0,8.0,0.0,1166.0,13.0,149.0,583.0,457.0,67.0,1166.0,31.0,57.0,54.4,803.0,84.0,50.0,16.0,939.0,55.0,26.0,0.0,31.0,39.0,6.0,1.0,0.0,0.0,117.0,3.0,12.0,20.0
-João Pedro,it ITA,FW,Cagliari,29,1992,37.0,37.0,3323.0,13.0,4.0,3.0,4.0,9.0,0.0,0.35,0.11,0.46,0.27,0.38,13.4,10.4,0.36,0.28,36.9,34.0,2.0,39.1,0.92,0.11,0.29,0.12,-0.4,-0.4,507.0,714.0,71.0,8729.0,1590.0,229.0,298.0,76.8,215.0,276.0,77.9,46.0,75.0,61.3,28.0,32.0,22.0,2.0,66.0,630.0,82.0,4.0,2.0,17.0,14.0,0.0,0.0,0.0,0.0,5.0,2.0,16.0,90.0,2.44,59.0,0.0,4.0,16.0,9.0,7.0,0.19,5.0,0.0,1.0,0.0,1.0,0.0,15.0,12.0,2.0,8.0,5.0,4.0,18.0,22.2,14.0,23.0,5.0,18.0,8.0,18.0,1.0,1093.0,22.0,83.0,507.0,512.0,148.0,1089.0,34.0,72.0,47.2,653.0,38.0,27.0,20.0,785.0,108.0,36.0,0.0,68.0,85.0,31.0,1.0,0.0,0.0,112.0,63.0,113.0,35.8
-Gianluca Pegolo,it ITA,GK,Sassuolo,40,1981,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,34.0,82.4,631.0,426.0,6.0,6.0,100.0,13.0,14.0,92.9,8.0,13.0,61.5,0.0,0.0,0.0,0.0,0.0,23.0,11.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,36.0,28.0,35.0,1.0,0.0,0.0,36.0,0.0,0.0,0.0,19.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Pietro Pellegri,it ITA,FW,Torino,20,2001,9.0,1.0,216.0,1.0,0.0,0.0,0.0,1.0,0.0,0.42,0.0,0.42,0.42,0.42,0.5,0.5,0.2,0.2,2.4,2.0,0.0,40.0,0.83,0.2,0.5,0.09,0.5,0.5,26.0,42.0,61.9,342.0,38.0,19.0,24.0,79.2,6.0,9.0,66.7,1.0,2.0,50.0,1.0,1.0,0.0,0.0,1.0,38.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,0.83,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,4.0,0.0,4.0,0.0,0.0,0.0,0.0,5.0,0.0,81.0,6.0,8.0,35.0,39.0,8.0,81.0,4.0,8.0,50.0,50.0,3.0,0.0,1.0,62.0,20.0,8.0,0.0,10.0,6.0,4.0,0.0,0.0,0.0,4.0,9.0,17.0,34.6
-Pietro Pellegri,it ITA,FW,Milan,20,2001,6.0,1.0,131.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.14,0.14,1.5,1.0,0.0,33.3,0.69,0.0,0.0,0.07,-0.2,-0.2,12.0,19.0,63.2,108.0,11.0,9.0,14.0,64.3,2.0,3.0,66.7,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,17.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,3.41,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,37.0,1.0,3.0,11.0,23.0,7.0,37.0,1.0,4.0,25.0,18.0,3.0,1.0,1.0,19.0,2.0,4.0,0.0,7.0,2.0,2.0,0.0,0.0,0.0,4.0,3.0,1.0,75.0
-Lorenzo Pellegrini,it ITA,MF,Roma,25,1996,28.0,27.0,2289.0,9.0,3.0,2.0,3.0,8.0,1.0,0.35,0.12,0.47,0.28,0.39,10.1,7.6,0.4,0.3,25.4,28.0,11.0,31.5,1.1,0.08,0.25,0.09,-1.1,-0.6,776.0,1106.0,70.2,13848.0,4796.0,351.0,417.0,84.2,279.0,368.0,75.8,114.0,230.0,49.6,68.0,84.0,35.0,5.0,136.0,915.0,184.0,65.0,6.0,12.0,172.0,100.0,44.0,51.0,0.0,7.0,7.0,32.0,139.0,5.47,62.0,42.0,11.0,14.0,7.0,11.0,0.43,6.0,2.0,0.0,3.0,0.0,0.0,35.0,14.0,10.0,17.0,8.0,16.0,60.0,26.7,44.0,29.0,1.0,28.0,27.0,20.0,0.0,1465.0,23.0,140.0,667.0,681.0,117.0,1462.0,43.0,91.0,47.3,784.0,76.0,51.0,24.0,976.0,64.0,24.0,1.0,46.0,49.0,9.0,0.0,0.0,0.0,126.0,17.0,26.0,39.5
-Luca Pellegrini,it ITA,DF,Juventus,22,1999,18.0,15.0,1107.0,0.0,1.0,0.0,0.0,6.0,0.0,0.0,0.08,0.08,0.0,0.08,0.4,0.4,0.03,0.03,12.3,1.0,0.0,16.7,0.08,0.0,0.0,0.06,-0.4,-0.4,521.0,682.0,76.4,9128.0,3271.0,237.0,269.0,88.1,222.0,275.0,80.7,55.0,109.0,50.5,13.0,35.0,14.0,6.0,35.0,564.0,118.0,10.0,1.0,5.0,54.0,15.0,8.0,6.0,0.0,93.0,0.0,14.0,30.0,2.44,20.0,5.0,1.0,0.0,3.0,4.0,0.32,4.0,0.0,0.0,0.0,0.0,0.0,23.0,10.0,13.0,5.0,5.0,12.0,19.0,63.2,7.0,9.0,1.0,8.0,5.0,23.0,0.0,800.0,28.0,260.0,333.0,212.0,9.0,800.0,9.0,18.0,50.0,409.0,21.0,25.0,3.0,492.0,15.0,5.0,0.0,23.0,21.0,0.0,0.0,0.0,0.0,73.0,9.0,8.0,52.9
-Federico Peluso,it ITA,DF,Sassuolo,37,1984,2.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,100.0,33.0,23.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,4.0,0.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Gastón Pereiro,uy URU,"FW,MF",Cagliari,26,1995,29.0,9.0,975.0,4.0,2.0,0.0,0.0,1.0,0.0,0.37,0.18,0.55,0.37,0.55,1.7,1.7,0.15,0.15,10.8,9.0,0.0,42.9,0.83,0.19,0.44,0.08,2.3,2.3,237.0,372.0,63.7,3888.0,1147.0,118.0,166.0,71.1,80.0,117.0,68.4,27.0,55.0,49.1,20.0,24.0,12.0,5.0,42.0,331.0,40.0,12.0,1.0,2.0,40.0,16.0,5.0,4.0,1.0,8.0,1.0,12.0,42.0,3.87,25.0,9.0,4.0,3.0,1.0,3.0,0.28,2.0,1.0,0.0,0.0,0.0,0.0,13.0,5.0,7.0,4.0,2.0,5.0,18.0,27.8,13.0,12.0,1.0,11.0,1.0,8.0,0.0,474.0,9.0,53.0,197.0,226.0,30.0,474.0,10.0,19.0,52.6,277.0,32.0,23.0,7.0,331.0,14.0,17.0,0.0,16.0,4.0,2.0,0.0,0.0,0.0,36.0,23.0,30.0,43.4
-Dor Peretz,il ISR,MF,Venezia,26,1995,18.0,4.0,585.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.15,0.15,0.0,0.15,1.0,1.0,0.15,0.15,6.5,0.0,0.0,0.0,0.0,0.0,0.0,0.19,-1.0,-1.0,175.0,234.0,74.8,2632.0,758.0,94.0,118.0,79.7,55.0,64.0,85.9,13.0,24.0,54.2,4.0,20.0,1.0,0.0,18.0,222.0,10.0,7.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,3.0,2.0,11.0,8.0,1.24,5.0,0.0,0.0,0.0,2.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,27.0,18.0,8.0,16.0,3.0,13.0,25.0,52.0,12.0,8.0,4.0,4.0,8.0,11.0,0.0,315.0,23.0,90.0,186.0,40.0,4.0,315.0,1.0,6.0,16.7,137.0,3.0,3.0,1.0,192.0,9.0,7.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,25.0,8.0,9.0,47.1
-Roberto Pereyra,ar ARG,"MF,FW",Udinese,30,1991,24.0,22.0,1794.0,3.0,5.0,1.0,2.0,10.0,1.0,0.15,0.25,0.4,0.1,0.35,5.4,3.8,0.27,0.19,19.9,6.0,1.0,21.4,0.3,0.07,0.33,0.14,-2.4,-1.8,718.0,842.0,85.3,10354.0,2860.0,413.0,456.0,90.6,225.0,262.0,85.9,42.0,60.0,70.0,25.0,61.0,28.0,2.0,126.0,794.0,45.0,26.0,1.0,2.0,23.0,6.0,1.0,1.0,0.0,7.0,3.0,11.0,58.0,2.91,49.0,0.0,4.0,4.0,1.0,8.0,0.4,5.0,0.0,2.0,1.0,0.0,0.0,18.0,12.0,7.0,6.0,5.0,7.0,23.0,30.4,16.0,26.0,5.0,21.0,12.0,11.0,0.0,1053.0,18.0,138.0,529.0,402.0,85.0,1051.0,21.0,46.0,45.7,651.0,73.0,43.0,18.0,768.0,54.0,27.0,1.0,33.0,34.0,1.0,0.0,0.0,0.0,116.0,1.0,12.0,7.7
-Carles Pérez,es ESP,"MF,FW",Roma,23,1998,19.0,3.0,554.0,1.0,1.0,0.0,0.0,2.0,0.0,0.16,0.16,0.32,0.16,0.32,1.9,1.9,0.3,0.3,6.2,8.0,1.0,29.6,1.3,0.04,0.13,0.07,-0.9,-0.9,205.0,244.0,84.0,3230.0,632.0,111.0,123.0,90.2,71.0,79.0,89.9,16.0,26.0,61.5,15.0,17.0,6.0,0.0,19.0,221.0,23.0,1.0,1.0,0.0,19.0,15.0,10.0,2.0,0.0,7.0,0.0,6.0,38.0,6.17,18.0,5.0,4.0,7.0,3.0,2.0,0.32,2.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,3.0,1.0,4.0,3.0,12.0,25.0,9.0,10.0,0.0,10.0,2.0,2.0,0.0,334.0,0.0,27.0,114.0,194.0,31.0,334.0,11.0,20.0,55.0,206.0,25.0,20.0,9.0,231.0,15.0,11.0,0.0,13.0,7.0,0.0,0.0,0.0,0.0,20.0,0.0,10.0,0.0
-Nehuén Pérez,ar ARG,DF,Udinese,21,2000,20.0,19.0,1692.0,0.0,1.0,0.0,0.0,6.0,0.0,0.0,0.05,0.05,0.0,0.05,1.2,1.2,0.06,0.06,18.8,1.0,0.0,10.0,0.05,0.0,0.0,0.12,-1.2,-1.2,593.0,774.0,76.6,10904.0,4448.0,248.0,282.0,87.9,265.0,322.0,82.3,64.0,131.0,48.9,6.0,43.0,1.0,0.0,40.0,630.0,141.0,31.0,0.0,12.0,2.0,0.0,0.0,0.0,0.0,106.0,3.0,10.0,17.0,0.9,12.0,4.0,1.0,0.0,0.0,3.0,0.16,2.0,1.0,0.0,0.0,0.0,0.0,44.0,21.0,21.0,21.0,2.0,16.0,25.0,64.0,9.0,27.0,9.0,18.0,21.0,47.0,0.0,969.0,117.0,435.0,462.0,80.0,20.0,969.0,7.0,15.0,46.7,437.0,16.0,9.0,1.0,476.0,13.0,4.0,0.0,30.0,9.0,0.0,0.0,1.0,0.0,104.0,28.0,36.0,43.8
-Mattia Perin,it ITA,GK,Juventus,28,1992,5.0,5.0,405.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,111.0,135.0,82.2,2599.0,1501.0,33.0,33.0,100.0,52.0,52.0,100.0,25.0,48.0,52.1,0.0,1.0,0.0,0.0,0.0,99.0,35.0,9.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,143.0,128.0,143.0,0.0,0.0,0.0,143.0,0.0,0.0,0.0,81.0,0.0,0.0,0.0,73.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
-Ivan Perišić,hr CRO,DF,Inter,32,1989,35.0,35.0,2821.0,8.0,6.0,1.0,1.0,4.0,0.0,0.26,0.19,0.45,0.22,0.41,5.1,4.3,0.16,0.14,31.3,16.0,0.0,37.2,0.51,0.16,0.44,0.1,2.9,2.7,1079.0,1510.0,71.5,19289.0,6652.0,515.0,616.0,83.6,413.0,557.0,74.1,127.0,221.0,57.5,57.0,75.0,59.0,26.0,126.0,1307.0,196.0,6.0,2.0,17.0,150.0,1.0,0.0,1.0,0.0,189.0,7.0,51.0,118.0,3.76,100.0,5.0,6.0,4.0,0.0,13.0,0.41,11.0,0.0,1.0,1.0,0.0,0.0,38.0,22.0,18.0,11.0,9.0,28.0,50.0,56.0,22.0,39.0,7.0,32.0,47.0,42.0,0.0,1817.0,73.0,405.0,659.0,779.0,143.0,1816.0,26.0,45.0,57.8,925.0,135.0,75.0,44.0,1145.0,48.0,8.0,0.0,29.0,6.0,13.0,0.0,0.0,0.0,167.0,55.0,32.0,63.2
-Diego Perotti,ar ARG,"MF,FW",Salernitana,33,1988,11.0,1.0,287.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,0.8,0.49,0.24,3.2,2.0,1.0,22.2,0.63,0.0,0.0,0.09,-1.6,-0.8,112.0,147.0,76.2,1555.0,455.0,73.0,82.0,89.0,30.0,40.0,75.0,6.0,18.0,33.3,5.0,7.0,5.0,4.0,7.0,131.0,15.0,6.0,0.0,0.0,22.0,5.0,4.0,1.0,0.0,4.0,1.0,1.0,9.0,2.84,8.0,0.0,1.0,0.0,0.0,2.0,0.63,2.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,7.0,1.0,3.0,4.0,13.0,30.8,9.0,1.0,0.0,1.0,2.0,6.0,0.0,197.0,9.0,32.0,77.0,92.0,15.0,196.0,8.0,13.0,61.5,112.0,14.0,13.0,4.0,124.0,7.0,6.0,0.0,5.0,10.0,0.0,0.0,0.0,0.0,17.0,4.0,6.0,40.0
-Mario Perrone,it ITA,DF,Salernitana,18,2003,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,10.0,70.0,112.0,43.0,3.0,3.0,100.0,4.0,4.0,100.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,4.0,5.0,1.0,0.0,10.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Matteo Pessina,it ITA,"MF,FW",Atalanta,24,1997,27.0,18.0,1438.0,1.0,1.0,0.0,0.0,0.0,0.0,0.06,0.06,0.13,0.06,0.13,2.5,2.5,0.16,0.16,16.0,9.0,0.0,32.1,0.56,0.04,0.11,0.09,-1.5,-1.5,718.0,880.0,81.6,10454.0,2860.0,421.0,477.0,88.3,241.0,283.0,85.2,30.0,39.0,76.9,24.0,48.0,16.0,2.0,87.0,853.0,22.0,17.0,1.0,1.0,10.0,0.0,0.0,0.0,0.0,1.0,5.0,30.0,46.0,2.88,42.0,0.0,2.0,2.0,0.0,5.0,0.31,5.0,0.0,0.0,0.0,0.0,0.0,27.0,14.0,10.0,11.0,6.0,14.0,33.0,42.4,19.0,22.0,3.0,19.0,13.0,7.0,0.0,1064.0,14.0,168.0,549.0,370.0,54.0,1064.0,23.0,36.0,63.9,671.0,40.0,35.0,9.0,766.0,41.0,17.0,0.0,16.0,35.0,4.0,0.0,0.0,0.0,134.0,28.0,29.0,49.1
-Andrea Petagna,it ITA,FW,Napoli,26,1995,24.0,4.0,586.0,3.0,1.0,0.0,0.0,1.0,0.0,0.46,0.15,0.61,0.46,0.61,1.9,1.9,0.29,0.29,6.5,6.0,0.0,46.2,0.92,0.23,0.5,0.15,1.1,1.1,114.0,162.0,70.4,1523.0,233.0,73.0,93.0,78.5,27.0,38.0,71.1,4.0,10.0,40.0,10.0,5.0,3.0,0.0,11.0,154.0,8.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,14.0,2.16,10.0,0.0,0.0,1.0,1.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,0.0,3.0,0.0,1.0,4.0,25.0,3.0,1.0,0.0,1.0,0.0,5.0,0.0,225.0,5.0,22.0,120.0,87.0,23.0,225.0,9.0,14.0,64.3,137.0,15.0,10.0,4.0,188.0,21.0,14.0,0.0,15.0,14.0,2.0,0.0,0.0,0.0,15.0,17.0,20.0,45.9
-Giuseppe Pezzella,it ITA,"DF,MF",Atalanta,23,1997,21.0,10.0,1072.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.17,0.17,0.0,0.17,0.8,0.8,0.07,0.07,11.9,1.0,0.0,11.1,0.08,0.0,0.0,0.09,-0.8,-0.8,508.0,658.0,77.2,7346.0,2203.0,315.0,352.0,89.5,145.0,183.0,79.2,32.0,68.0,47.1,9.0,30.0,7.0,3.0,46.0,541.0,112.0,4.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,108.0,5.0,23.0,13.0,1.09,10.0,2.0,0.0,1.0,0.0,2.0,0.17,1.0,0.0,0.0,1.0,0.0,0.0,28.0,13.0,15.0,7.0,6.0,8.0,18.0,44.4,10.0,13.0,5.0,8.0,9.0,16.0,0.0,788.0,22.0,169.0,348.0,285.0,23.0,788.0,8.0,19.0,42.1,443.0,35.0,29.0,7.0,495.0,18.0,12.0,0.0,19.0,30.0,2.0,0.0,0.0,0.0,82.0,14.0,14.0,50.0
-Krzysztof Piątek,pl POL,FW,Fiorentina,26,1995,14.0,9.0,733.0,3.0,0.0,0.0,1.0,0.0,0.0,0.37,0.0,0.37,0.37,0.37,3.8,3.0,0.47,0.37,8.1,7.0,0.0,31.8,0.86,0.14,0.43,0.14,-0.8,0.0,126.0,158.0,79.7,1791.0,287.0,64.0,74.0,86.5,54.0,61.0,88.5,3.0,4.0,75.0,6.0,7.0,5.0,1.0,14.0,138.0,18.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,14.0,1.72,10.0,0.0,1.0,3.0,0.0,2.0,0.25,1.0,0.0,0.0,1.0,0.0,0.0,5.0,4.0,1.0,1.0,3.0,2.0,3.0,66.7,1.0,6.0,0.0,6.0,2.0,8.0,0.0,249.0,8.0,22.0,111.0,118.0,38.0,248.0,3.0,6.0,50.0,120.0,7.0,9.0,1.0,162.0,23.0,7.0,0.0,7.0,16.0,3.0,0.0,0.0,0.0,16.0,18.0,27.0,40.0
-Roberto Piccoli,it ITA,FW,Genoa,20,2001,5.0,2.0,218.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.08,0.08,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,29.0,56.0,51.8,349.0,42.0,21.0,33.0,63.6,5.0,15.0,33.3,1.0,2.0,50.0,4.0,2.0,1.0,1.0,0.0,53.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,4.0,1.66,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,80.0,2.0,6.0,44.0,31.0,7.0,80.0,2.0,3.0,66.7,35.0,1.0,2.0,0.0,59.0,12.0,6.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,8.0,12.0,17.0,41.4
-Roberto Piccoli,it ITA,FW,Atalanta,20,2001,12.0,1.0,196.0,1.0,0.0,0.0,0.0,0.0,0.0,0.46,0.0,0.46,0.46,0.46,0.9,0.9,0.4,0.4,2.2,3.0,0.0,60.0,1.38,0.2,0.33,0.17,0.1,0.1,30.0,43.0,69.8,382.0,54.0,21.0,28.0,75.0,8.0,10.0,80.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,1.0,41.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,2.31,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,72.0,0.0,4.0,29.0,40.0,12.0,72.0,1.0,3.0,33.3,41.0,2.0,1.0,2.0,56.0,7.0,10.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,7.0,5.0,16.0,23.8
-Andrea Pinamonti,it ITA,FW,Empoli,22,1999,36.0,32.0,2869.0,13.0,2.0,4.0,4.0,4.0,0.0,0.41,0.06,0.47,0.28,0.35,12.2,9.4,0.38,0.3,31.9,23.0,1.0,26.7,0.72,0.1,0.39,0.11,0.8,-0.4,381.0,636.0,59.9,4696.0,1047.0,241.0,348.0,69.3,92.0,157.0,58.6,11.0,24.0,45.8,29.0,25.0,21.0,3.0,51.0,608.0,25.0,0.0,4.0,1.0,28.0,0.0,0.0,0.0,0.0,5.0,3.0,24.0,72.0,2.26,43.0,0.0,6.0,11.0,12.0,7.0,0.22,4.0,0.0,0.0,2.0,1.0,0.0,11.0,6.0,0.0,7.0,4.0,2.0,18.0,11.1,16.0,24.0,3.0,21.0,7.0,23.0,0.0,945.0,28.0,59.0,357.0,534.0,164.0,941.0,17.0,40.0,42.5,557.0,36.0,21.0,19.0,741.0,71.0,47.0,0.0,32.0,56.0,19.0,1.0,0.0,0.0,62.0,75.0,128.0,36.9
-Carlo Pinsoglio,it ITA,GK,Juventus,31,1990,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,11.0,90.9,293.0,227.0,0.0,0.0,0.0,6.0,6.0,100.0,4.0,5.0,80.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,12.0,13.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Riccardo Pinzi,it ITA,FW,Udinese,17,2003,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Marko Pjaca,hr CRO,MF,Torino,26,1995,24.0,13.0,1149.0,3.0,0.0,0.0,0.0,0.0,0.0,0.23,0.0,0.23,0.23,0.23,2.1,2.1,0.16,0.16,12.8,11.0,0.0,52.4,0.86,0.14,0.27,0.1,0.9,0.9,322.0,420.0,76.7,4593.0,1135.0,194.0,239.0,81.2,97.0,121.0,80.2,17.0,30.0,56.7,15.0,26.0,19.0,6.0,46.0,410.0,9.0,1.0,0.0,3.0,17.0,2.0,2.0,0.0,0.0,3.0,1.0,9.0,43.0,3.38,30.0,1.0,6.0,3.0,3.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,1.0,4.0,2.0,3.0,8.0,37.5,5.0,10.0,2.0,8.0,4.0,2.0,0.0,559.0,8.0,42.0,229.0,292.0,49.0,559.0,23.0,41.0,56.1,365.0,39.0,29.0,19.0,440.0,34.0,30.0,0.0,11.0,14.0,2.0,0.0,0.0,0.0,60.0,20.0,28.0,41.7
-Tommaso Pobega,it ITA,MF,Torino,22,1999,33.0,24.0,2240.0,4.0,2.0,0.0,0.0,11.0,0.0,0.16,0.08,0.24,0.16,0.24,3.8,3.8,0.15,0.15,24.9,8.0,0.0,16.7,0.32,0.08,0.5,0.08,0.2,0.2,918.0,1174.0,78.2,15319.0,4567.0,454.0,550.0,82.5,371.0,440.0,84.3,78.0,115.0,67.8,24.0,123.0,17.0,1.0,128.0,1157.0,14.0,12.0,0.0,9.0,16.0,0.0,0.0,0.0,0.0,1.0,3.0,26.0,63.0,2.53,52.0,0.0,0.0,4.0,6.0,4.0,0.16,2.0,0.0,0.0,1.0,1.0,0.0,48.0,30.0,17.0,20.0,11.0,21.0,40.0,52.5,19.0,32.0,3.0,29.0,25.0,38.0,0.0,1491.0,48.0,233.0,882.0,392.0,55.0,1491.0,14.0,27.0,51.9,807.0,33.0,42.0,9.0,991.0,45.0,16.0,0.0,75.0,39.0,2.0,1.0,0.0,0.0,147.0,77.0,79.0,49.4
-Suf Podgoreanu,il ISR,FW,Spezia,19,2002,5.0,1.0,113.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.0,0.8,0.0,0.0,0.03,0.03,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,39.0,53.0,73.6,511.0,75.0,25.0,27.0,92.6,10.0,14.0,71.4,1.0,3.0,33.3,1.0,1.0,2.0,1.0,2.0,51.0,2.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,4.0,3.21,3.0,0.0,1.0,0.0,0.0,2.0,1.61,1.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,4.0,25.0,3.0,2.0,0.0,2.0,1.0,3.0,0.0,72.0,3.0,7.0,25.0,40.0,1.0,72.0,3.0,6.0,50.0,45.0,4.0,5.0,0.0,54.0,2.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,100.0
-Matteo Politano,it ITA,FW,Napoli,27,1993,33.0,20.0,1650.0,3.0,4.0,0.0,0.0,3.0,0.0,0.16,0.22,0.38,0.16,0.38,2.6,2.6,0.14,0.14,18.3,11.0,1.0,26.2,0.6,0.07,0.27,0.06,0.4,0.4,542.0,776.0,69.8,8013.0,2339.0,334.0,382.0,87.4,140.0,221.0,63.3,44.0,106.0,41.5,32.0,24.0,27.0,10.0,64.0,689.0,80.0,15.0,0.0,9.0,108.0,47.0,32.0,5.0,0.0,18.0,7.0,22.0,73.0,3.98,40.0,13.0,7.0,5.0,7.0,8.0,0.44,7.0,0.0,1.0,0.0,0.0,0.0,24.0,12.0,8.0,11.0,5.0,15.0,54.0,27.8,39.0,11.0,2.0,9.0,13.0,5.0,0.0,974.0,10.0,126.0,296.0,561.0,81.0,974.0,21.0,47.0,44.7,651.0,76.0,35.0,32.0,719.0,31.0,21.0,0.0,14.0,28.0,4.0,0.0,0.0,0.0,73.0,7.0,13.0,35.0
-Manolo Portanova,it ITA,"FW,MF",Genoa,21,2000,24.0,17.0,1322.0,1.0,0.0,0.0,0.0,4.0,0.0,0.07,0.0,0.07,0.07,0.07,3.4,3.4,0.23,0.23,14.7,12.0,1.0,41.4,0.82,0.03,0.08,0.12,-2.4,-2.4,181.0,323.0,56.0,2559.0,862.0,106.0,145.0,73.1,47.0,96.0,49.0,14.0,47.0,29.8,9.0,14.0,7.0,0.0,28.0,292.0,27.0,9.0,0.0,2.0,40.0,15.0,9.0,5.0,0.0,3.0,4.0,16.0,29.0,1.97,12.0,7.0,3.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,46.0,28.0,9.0,26.0,11.0,14.0,34.0,41.2,20.0,26.0,2.0,24.0,17.0,22.0,0.0,577.0,24.0,95.0,277.0,217.0,37.0,577.0,25.0,46.0,54.3,296.0,30.0,14.0,8.0,306.0,53.0,24.0,0.0,45.0,26.0,5.0,0.0,0.0,0.0,75.0,23.0,33.0,41.1
-Dennis Praet,be BEL,MF,Torino,27,1994,23.0,17.0,1539.0,2.0,2.0,0.0,0.0,3.0,0.0,0.12,0.12,0.23,0.12,0.23,2.4,2.4,0.14,0.14,17.1,8.0,0.0,33.3,0.47,0.08,0.25,0.12,-0.4,-0.4,430.0,588.0,73.1,6410.0,1650.0,247.0,292.0,84.6,144.0,196.0,73.5,22.0,45.0,48.9,25.0,35.0,24.0,11.0,52.0,562.0,21.0,4.0,4.0,5.0,45.0,3.0,0.0,0.0,0.0,13.0,5.0,19.0,50.0,2.92,42.0,1.0,3.0,2.0,2.0,4.0,0.23,3.0,0.0,0.0,1.0,0.0,0.0,19.0,10.0,6.0,8.0,5.0,8.0,22.0,36.4,14.0,12.0,1.0,11.0,3.0,4.0,0.0,723.0,6.0,69.0,300.0,361.0,49.0,723.0,12.0,28.0,42.9,412.0,34.0,19.0,12.0,511.0,28.0,16.0,0.0,21.0,17.0,3.0,0.0,0.0,0.0,71.0,8.0,19.0,29.6
-Mateusz Praszelik,pl POL,MF,Hellas Verona,20,2000,2.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08,0.08,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,9.0,11.0,81.8,80.0,10.0,6.0,8.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.6,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,7.0,8.0,2.0,15.0,1.0,1.0,100.0,12.0,2.0,2.0,0.0,14.0,3.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Ivan Provedel,it ITA,GK,Spezia,27,1994,31.0,31.0,2761.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.7,1.0,0.0,100.0,0.03,0.0,0.0,0.01,0.0,0.0,736.0,1199.0,61.4,23789.0,17852.0,95.0,96.0,99.0,291.0,301.0,96.7,349.0,788.0,44.3,0.0,25.0,1.0,0.0,2.0,837.0,349.0,120.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,10.0,2.0,1281.0,1031.0,1266.0,16.0,0.0,0.0,1281.0,0.0,0.0,0.0,716.0,0.0,0.0,0.0,568.0,1.0,0.0,0.0,2.0,4.0,0.0,0.0,2.0,1.0,50.0,6.0,0.0,100.0
-Erick Pulgar,cl CHI,MF,Fiorentina,27,1994,6.0,4.0,341.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.26,0.26,0.0,0.26,0.1,0.1,0.03,0.03,3.8,2.0,0.0,66.7,0.53,0.0,0.0,0.04,-0.1,-0.1,208.0,239.0,87.0,4047.0,1023.0,70.0,81.0,86.4,111.0,116.0,95.7,23.0,32.0,71.9,7.0,19.0,2.0,1.0,16.0,214.0,24.0,24.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,2.9,8.0,3.0,0.0,0.0,0.0,2.0,0.53,2.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,4.0,2.0,0.0,4.0,9.0,44.4,5.0,5.0,1.0,4.0,5.0,2.0,1.0,265.0,5.0,54.0,172.0,45.0,1.0,265.0,2.0,3.0,66.7,135.0,2.0,3.0,0.0,176.0,5.0,2.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,31.0,4.0,7.0,36.4
-Ignacio Pussetto,ar ARG,"FW,MF",Udinese,25,1995,28.0,11.0,1204.0,4.0,4.0,1.0,1.0,4.0,0.0,0.3,0.3,0.6,0.22,0.52,4.5,3.7,0.34,0.28,13.4,12.0,0.0,38.7,0.9,0.1,0.25,0.12,-0.5,-0.7,195.0,292.0,66.8,2873.0,707.0,107.0,141.0,75.9,63.0,92.0,68.5,11.0,17.0,64.7,15.0,19.0,6.0,2.0,29.0,264.0,25.0,3.0,0.0,2.0,21.0,0.0,0.0,0.0,0.0,6.0,3.0,13.0,37.0,2.76,22.0,0.0,4.0,4.0,5.0,7.0,0.52,4.0,0.0,1.0,0.0,1.0,1.0,17.0,9.0,2.0,9.0,6.0,2.0,10.0,20.0,8.0,18.0,2.0,16.0,4.0,13.0,0.0,509.0,16.0,43.0,229.0,247.0,60.0,508.0,25.0,56.0,44.6,266.0,28.0,19.0,11.0,336.0,40.0,22.0,0.0,30.0,27.0,9.0,1.0,0.0,0.0,39.0,31.0,51.0,37.8
-Niklas Pyyhtiä,fi FIN,MF,Bologna,17,2003,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,24.0,83.3,358.0,106.0,7.0,7.0,100.0,12.0,14.0,85.7,1.0,2.0,50.0,0.0,4.0,1.0,0.0,3.0,23.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.74,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,2.0,19.0,5.0,0.0,25.0,1.0,1.0,100.0,13.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Fabio Quagliarella,it ITA,FW,Sampdoria,38,1983,33.0,19.0,1664.0,4.0,2.0,1.0,1.0,2.0,0.0,0.22,0.11,0.32,0.16,0.27,5.1,4.4,0.28,0.24,18.5,11.0,1.0,19.3,0.59,0.05,0.27,0.08,-1.1,-1.4,320.0,466.0,68.7,5214.0,1113.0,173.0,220.0,78.6,91.0,128.0,71.1,39.0,66.0,59.1,19.0,28.0,18.0,7.0,39.0,426.0,36.0,0.0,3.0,16.0,21.0,0.0,0.0,0.0,0.0,1.0,4.0,15.0,49.0,2.65,35.0,0.0,5.0,6.0,2.0,8.0,0.43,7.0,0.0,1.0,0.0,0.0,0.0,6.0,2.0,2.0,2.0,2.0,2.0,15.0,13.3,13.0,14.0,1.0,13.0,3.0,12.0,0.0,655.0,14.0,49.0,291.0,321.0,74.0,654.0,11.0,23.0,47.8,383.0,17.0,12.0,2.0,490.0,49.0,26.0,0.0,20.0,28.0,15.0,0.0,0.0,0.0,51.0,18.0,36.0,33.3
-Adrien Rabiot,fr FRA,MF,Juventus,26,1995,32.0,28.0,2285.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,2.4,2.4,0.09,0.09,25.4,7.0,0.0,26.9,0.28,0.0,0.0,0.09,-2.4,-2.4,862.0,1053.0,81.9,13474.0,3586.0,436.0,508.0,85.8,340.0,395.0,86.1,54.0,75.0,72.0,21.0,72.0,16.0,3.0,99.0,1025.0,27.0,18.0,0.0,3.0,25.0,0.0,0.0,0.0,0.0,9.0,1.0,23.0,45.0,1.77,35.0,0.0,5.0,3.0,2.0,3.0,0.12,3.0,0.0,0.0,0.0,0.0,0.0,64.0,43.0,32.0,24.0,8.0,15.0,34.0,44.1,19.0,34.0,8.0,26.0,20.0,41.0,1.0,1332.0,74.0,337.0,686.0,330.0,54.0,1332.0,44.0,57.0,77.2,744.0,65.0,37.0,12.0,875.0,38.0,24.0,0.0,45.0,28.0,4.0,0.0,1.0,0.0,150.0,49.0,30.0,62.0
-Ivan Radovanović,rs SRB,"DF,MF",Salernitana,32,1988,14.0,12.0,1053.0,1.0,1.0,0.0,0.0,4.0,0.0,0.09,0.09,0.17,0.09,0.17,1.1,1.1,0.09,0.09,11.7,5.0,1.0,27.8,0.43,0.06,0.2,0.06,-0.1,-0.1,428.0,520.0,82.3,8844.0,3454.0,146.0,163.0,89.6,199.0,234.0,85.0,76.0,105.0,72.4,5.0,33.0,2.0,0.0,32.0,492.0,28.0,26.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,14.0,1.2,12.0,0.0,0.0,2.0,0.0,1.0,0.09,0.0,0.0,0.0,1.0,0.0,0.0,11.0,7.0,8.0,3.0,0.0,7.0,19.0,36.8,12.0,14.0,7.0,7.0,7.0,29.0,0.0,607.0,60.0,272.0,276.0,66.0,14.0,607.0,1.0,1.0,100.0,313.0,11.0,10.0,0.0,374.0,4.0,1.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,60.0,17.0,13.0,56.7
-Ionuț Radu,ro ROU,GK,Inter,24,1997,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,23.0,82.6,535.0,329.0,2.0,2.0,100.0,9.0,9.0,100.0,8.0,12.0,66.7,0.0,1.0,0.0,0.0,0.0,19.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,24.0,18.0,24.0,0.0,0.0,0.0,24.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Ștefan Radu,ro ROU,DF,Lazio,34,1986,10.0,6.0,556.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,6.2,1.0,0.0,50.0,0.16,0.0,0.0,0.04,-0.1,-0.1,268.0,330.0,81.2,4329.0,1809.0,121.0,139.0,87.1,124.0,146.0,84.9,15.0,31.0,48.4,0.0,21.0,0.0,0.0,21.0,291.0,39.0,3.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,35.0,0.0,4.0,2.0,0.32,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,3.0,6.0,0.0,5.0,9.0,55.6,4.0,7.0,2.0,5.0,5.0,15.0,0.0,379.0,35.0,163.0,176.0,41.0,2.0,379.0,1.0,1.0,100.0,173.0,6.0,4.0,0.0,232.0,5.0,3.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,38.0,7.0,9.0,43.8
-Boris Radunović,rs SRB,GK,Cagliari,25,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,55.0,100.0,55.0,1975.0,1599.0,10.0,10.0,100.0,18.0,18.0,100.0,27.0,72.0,37.5,0.0,3.0,0.0,0.0,0.0,64.0,36.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,108.0,102.0,108.0,0.0,0.0,0.0,108.0,0.0,0.0,0.0,62.0,0.0,0.0,0.0,40.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Antonio Raimondo,it ITA,FW,Bologna,17,2004,1.0,1.0,74.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.15,0.15,0.8,1.0,0.0,50.0,1.22,0.0,0.0,0.06,-0.1,-0.1,6.0,10.0,60.0,70.0,1.0,5.0,5.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.22,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,22.0,1.0,5.0,7.0,10.0,5.0,22.0,0.0,4.0,0.0,12.0,0.0,0.0,0.0,15.0,1.0,4.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0
-Aaron Ramsey,wls WAL,MF,Juventus,30,1990,3.0,1.0,99.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,59.0,66.0,89.4,1014.0,260.0,25.0,29.0,86.2,29.0,31.0,93.5,4.0,5.0,80.0,2.0,6.0,0.0,0.0,4.0,64.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.76,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,67.0,1.0,20.0,39.0,8.0,2.0,67.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,58.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
-Luca Ranieri,it ITA,DF,Salernitana,22,1999,27.0,25.0,2103.0,1.0,0.0,0.0,0.0,9.0,0.0,0.04,0.0,0.04,0.04,0.04,0.8,0.8,0.03,0.03,23.4,4.0,0.0,44.4,0.17,0.11,0.25,0.08,0.2,0.2,698.0,993.0,70.3,11546.0,5442.0,339.0,396.0,85.6,280.0,401.0,69.8,58.0,123.0,47.2,11.0,56.0,17.0,14.0,76.0,789.0,199.0,27.0,0.0,1.0,66.0,1.0,0.0,1.0,0.0,171.0,5.0,32.0,26.0,1.11,23.0,2.0,0.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,38.0,21.0,23.0,11.0,4.0,19.0,33.0,57.6,14.0,18.0,8.0,10.0,22.0,67.0,0.0,1214.0,94.0,374.0,575.0,275.0,22.0,1214.0,17.0,36.0,47.2,564.0,37.0,22.0,1.0,644.0,21.0,10.0,0.0,16.0,10.0,2.0,0.0,0.0,0.0,103.0,18.0,16.0,52.9
-Andrea Ranocchia,it ITA,DF,Inter,33,1988,6.0,3.0,341.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.12,0.12,3.8,1.0,0.0,50.0,0.26,0.0,0.0,0.23,-0.5,-0.5,182.0,198.0,91.9,3763.0,1618.0,48.0,55.0,87.3,104.0,108.0,96.3,30.0,33.0,90.9,0.0,4.0,1.0,0.0,9.0,188.0,10.0,9.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.06,4.0,0.0,0.0,0.0,0.0,1.0,0.26,1.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,5.0,1.0,2.0,1.0,3.0,33.3,2.0,4.0,3.0,1.0,4.0,16.0,0.0,234.0,42.0,126.0,104.0,7.0,3.0,234.0,0.0,0.0,0.0,134.0,0.0,1.0,0.0,156.0,2.0,0.0,0.0,4.0,2.0,1.0,0.0,0.0,0.0,14.0,16.0,7.0,69.6
-Giacomo Raspadori,it ITA,"MF,FW",Sassuolo,21,2000,36.0,32.0,2740.0,10.0,4.0,0.0,0.0,9.0,1.0,0.33,0.13,0.46,0.33,0.46,8.1,8.1,0.27,0.27,30.4,25.0,3.0,35.2,0.82,0.14,0.4,0.11,1.9,1.9,814.0,1045.0,77.9,12449.0,2236.0,434.0,496.0,87.5,260.0,313.0,83.1,60.0,119.0,50.4,43.0,41.0,29.0,1.0,86.0,958.0,81.0,19.0,10.0,15.0,63.0,38.0,17.0,14.0,0.0,5.0,6.0,30.0,103.0,3.38,75.0,7.0,10.0,5.0,6.0,14.0,0.46,8.0,0.0,5.0,0.0,1.0,0.0,29.0,18.0,5.0,15.0,9.0,11.0,38.0,28.9,27.0,29.0,3.0,26.0,9.0,11.0,0.0,1359.0,25.0,180.0,610.0,585.0,113.0,1359.0,35.0,60.0,58.3,817.0,49.0,28.0,17.0,1002.0,88.0,48.0,1.0,29.0,33.0,4.0,1.0,0.0,0.0,126.0,9.0,18.0,33.3
-Nicola Ravaglia,it ITA,GK,Sampdoria,32,1988,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,131.0,131.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,5.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Ante Rebić,hr CRO,FW,Milan,27,1993,24.0,6.0,891.0,2.0,2.0,0.0,0.0,2.0,0.0,0.2,0.2,0.4,0.2,0.4,2.9,2.9,0.29,0.29,9.9,6.0,0.0,20.0,0.61,0.07,0.33,0.1,-0.9,-0.9,182.0,299.0,60.9,2866.0,964.0,96.0,146.0,65.8,53.0,80.0,66.3,21.0,34.0,61.8,29.0,16.0,24.0,8.0,38.0,291.0,6.0,0.0,1.0,4.0,28.0,0.0,0.0,0.0,0.0,4.0,2.0,12.0,51.0,5.16,36.0,0.0,4.0,7.0,3.0,3.0,0.3,2.0,0.0,0.0,0.0,0.0,1.0,14.0,8.0,3.0,6.0,5.0,7.0,20.0,35.0,13.0,14.0,0.0,14.0,3.0,3.0,1.0,443.0,6.0,20.0,141.0,288.0,75.0,443.0,16.0,38.0,42.1,254.0,36.0,16.0,20.0,325.0,33.0,16.0,0.0,18.0,9.0,8.0,0.0,0.0,0.0,25.0,13.0,22.0,37.1
-Arkadiusz Reca,pl POL,DF,Spezia,26,1995,25.0,22.0,1772.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.1,0.1,0.0,0.1,0.7,0.7,0.04,0.04,19.7,4.0,0.0,50.0,0.2,0.0,0.0,0.09,-0.7,-0.7,622.0,879.0,70.8,10345.0,4830.0,309.0,369.0,83.7,233.0,304.0,76.6,61.0,144.0,42.4,13.0,45.0,15.0,9.0,57.0,688.0,185.0,7.0,0.0,3.0,37.0,0.0,0.0,0.0,0.0,178.0,6.0,28.0,29.0,1.47,23.0,3.0,2.0,0.0,1.0,3.0,0.15,2.0,1.0,0.0,0.0,0.0,0.0,31.0,19.0,21.0,3.0,7.0,20.0,30.0,66.7,10.0,20.0,7.0,13.0,32.0,47.0,2.0,1101.0,85.0,433.0,446.0,229.0,10.0,1101.0,12.0,23.0,52.2,504.0,51.0,30.0,5.0,560.0,37.0,8.0,0.0,23.0,13.0,0.0,0.0,1.0,0.0,98.0,18.0,28.0,39.1
-Pepe Reina,es ESP,GK,Lazio,38,1982,15.0,15.0,1350.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.07,0.07,0.0,0.07,0.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,433.0,528.0,82.0,10958.0,8272.0,111.0,112.0,99.1,177.0,184.0,96.2,142.0,229.0,62.0,1.0,5.0,0.0,0.0,0.0,398.0,130.0,30.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,554.0,483.0,552.0,2.0,0.0,0.0,554.0,0.0,0.0,0.0,334.0,0.0,0.0,0.0,287.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,7.0,5.0,0.0,100.0
-Panagiotis Retsos,gr GRE,DF,Hellas Verona,22,1998,5.0,1.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,22.0,63.6,252.0,76.0,6.0,10.0,60.0,6.0,9.0,66.7,2.0,3.0,66.7,1.0,0.0,2.0,1.0,2.0,19.0,3.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.73,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,2.0,3.0,0.0,29.0,3.0,10.0,12.0,7.0,1.0,29.0,0.0,0.0,0.0,15.0,3.0,1.0,0.0,11.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Bryan Reynolds,us USA,DF,Roma,20,2001,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,32.0,7.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,0.0,2.0,1.0,1.0,0.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Franck Ribéry,fr FRA,"MF,FW",Salernitana,38,1983,23.0,16.0,1421.0,0.0,2.0,0.0,0.0,3.0,1.0,0.0,0.13,0.13,0.0,0.13,0.9,0.9,0.06,0.06,15.8,2.0,2.0,16.7,0.13,0.0,0.0,0.08,-0.9,-0.9,510.0,657.0,77.6,7667.0,1958.0,287.0,328.0,87.5,156.0,183.0,85.2,39.0,70.0,55.7,30.0,44.0,21.0,2.0,71.0,588.0,67.0,20.0,0.0,8.0,43.0,22.0,10.0,7.0,1.0,10.0,2.0,22.0,62.0,3.92,46.0,5.0,3.0,2.0,5.0,5.0,0.32,3.0,1.0,0.0,0.0,1.0,0.0,17.0,10.0,6.0,6.0,5.0,8.0,13.0,61.5,5.0,12.0,0.0,12.0,3.0,1.0,0.0,865.0,3.0,80.0,407.0,386.0,59.0,865.0,28.0,63.0,44.4,569.0,65.0,48.0,30.0,621.0,70.0,52.0,0.0,31.0,39.0,2.0,0.0,0.0,0.0,82.0,4.0,13.0,23.5
-Samuele Ricci,it ITA,MF,Torino,19,2001,12.0,9.0,722.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.07,0.07,8.0,1.0,0.0,25.0,0.12,0.0,0.0,0.14,-0.6,-0.6,367.0,395.0,92.9,6506.0,1517.0,156.0,165.0,94.5,175.0,181.0,96.7,31.0,37.0,83.8,4.0,37.0,1.0,0.0,31.0,374.0,21.0,17.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,14.0,1.74,12.0,1.0,0.0,1.0,0.0,1.0,0.12,0.0,0.0,0.0,1.0,0.0,0.0,8.0,4.0,4.0,2.0,2.0,2.0,5.0,40.0,3.0,7.0,1.0,6.0,14.0,9.0,0.0,467.0,27.0,92.0,310.0,71.0,5.0,467.0,4.0,7.0,57.1,291.0,5.0,13.0,0.0,339.0,6.0,3.0,0.0,14.0,13.0,2.0,0.0,0.0,0.0,40.0,1.0,5.0,16.7
-Samuele Ricci,it ITA,MF,Empoli,19,2001,21.0,17.0,1530.0,1.0,1.0,0.0,0.0,1.0,1.0,0.06,0.06,0.12,0.06,0.12,0.3,0.3,0.02,0.02,17.0,1.0,0.0,12.5,0.06,0.13,1.0,0.04,0.7,0.7,832.0,932.0,89.3,15351.0,4216.0,315.0,336.0,93.8,429.0,457.0,93.9,74.0,106.0,69.8,7.0,90.0,7.0,0.0,103.0,888.0,42.0,40.0,1.0,7.0,6.0,0.0,0.0,0.0,0.0,2.0,2.0,10.0,27.0,1.59,21.0,1.0,0.0,1.0,3.0,4.0,0.24,4.0,0.0,0.0,0.0,0.0,0.0,33.0,19.0,17.0,13.0,3.0,20.0,34.0,58.8,14.0,24.0,5.0,19.0,31.0,18.0,0.0,1078.0,53.0,291.0,673.0,125.0,2.0,1078.0,9.0,11.0,81.8,668.0,24.0,15.0,1.0,746.0,10.0,12.0,0.0,17.0,42.0,0.0,0.0,0.0,0.0,121.0,3.0,4.0,42.9
-Tomás Rincón,ve VEN,MF,Torino,33,1988,7.0,1.0,163.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,73.0,89.0,82.0,1330.0,244.0,34.0,42.0,81.0,29.0,32.0,90.6,9.0,12.0,75.0,2.0,6.0,0.0,0.0,7.0,84.0,4.0,3.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,3.0,1.68,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,3.0,0.0,3.0,3.0,1.0,2.0,2.0,4.0,0.0,112.0,5.0,22.0,70.0,21.0,1.0,112.0,3.0,3.0,100.0,53.0,0.0,1.0,0.0,62.0,4.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,11.0,3.0,5.0,37.5
-Tomás Rincón,ve VEN,MF,Sampdoria,33,1988,17.0,13.0,1166.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,13.0,1.0,0.0,50.0,0.08,0.0,0.0,0.12,-0.2,-0.2,480.0,576.0,83.3,8381.0,2611.0,224.0,252.0,88.9,192.0,222.0,86.5,56.0,77.0,72.7,4.0,50.0,6.0,0.0,46.0,563.0,11.0,9.0,4.0,5.0,5.0,0.0,0.0,0.0,0.0,1.0,2.0,10.0,13.0,1.0,12.0,0.0,0.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,0.0,22.0,13.0,9.0,10.0,3.0,13.0,34.0,38.2,21.0,15.0,2.0,13.0,18.0,11.0,0.0,681.0,24.0,179.0,418.0,94.0,6.0,681.0,16.0,19.0,84.2,399.0,12.0,10.0,2.0,481.0,11.0,13.0,0.0,22.0,31.0,0.0,0.0,0.0,0.0,75.0,14.0,11.0,56.0
-Ricardo Rodríguez,ch SUI,DF,Torino,28,1992,34.0,28.0,2473.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.04,0.04,0.0,0.04,0.4,0.4,0.02,0.02,27.5,0.0,3.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,1247.0,1469.0,84.9,21547.0,8073.0,602.0,644.0,93.5,515.0,562.0,91.6,108.0,198.0,54.5,22.0,101.0,7.0,2.0,115.0,1374.0,86.0,31.0,1.0,22.0,65.0,46.0,28.0,17.0,0.0,8.0,9.0,22.0,44.0,1.6,23.0,18.0,0.0,3.0,0.0,3.0,0.11,1.0,1.0,0.0,1.0,0.0,0.0,36.0,21.0,11.0,23.0,2.0,18.0,33.0,54.5,15.0,22.0,8.0,14.0,41.0,48.0,1.0,1672.0,88.0,586.0,868.0,228.0,6.0,1672.0,5.0,5.0,100.0,1001.0,50.0,52.0,3.0,1092.0,8.0,2.0,0.0,26.0,11.0,0.0,0.0,1.0,0.0,163.0,53.0,34.0,60.9
-Marko Rog,hr CRO,MF,Cagliari,26,1995,8.0,2.0,311.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.29,0.29,0.0,0.29,0.4,0.4,0.11,0.11,3.5,1.0,0.0,14.3,0.29,0.0,0.0,0.06,-0.4,-0.4,122.0,152.0,80.3,1663.0,357.0,71.0,81.0,87.7,36.0,47.0,76.6,6.0,9.0,66.7,4.0,13.0,1.0,0.0,14.0,141.0,11.0,8.0,0.0,1.0,3.0,1.0,1.0,0.0,0.0,2.0,0.0,3.0,18.0,5.23,14.0,0.0,1.0,1.0,2.0,2.0,0.58,1.0,0.0,0.0,0.0,1.0,0.0,5.0,3.0,1.0,2.0,2.0,1.0,8.0,12.5,7.0,6.0,1.0,5.0,1.0,3.0,0.0,191.0,4.0,25.0,89.0,79.0,4.0,191.0,4.0,9.0,44.4,110.0,7.0,10.0,1.0,125.0,6.0,7.0,0.0,11.0,14.0,0.0,0.0,0.0,0.0,19.0,4.0,5.0,44.4
-Rogério,br BRA,DF,Sassuolo,23,1998,23.0,19.0,1729.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.05,0.05,0.0,0.05,0.6,0.6,0.03,0.03,19.2,4.0,0.0,28.6,0.21,0.0,0.0,0.04,-0.6,-0.6,921.0,1131.0,81.4,14979.0,4524.0,459.0,510.0,90.0,354.0,400.0,88.5,76.0,140.0,54.3,27.0,57.0,26.0,12.0,78.0,967.0,161.0,24.0,0.0,11.0,82.0,20.0,0.0,19.0,0.0,117.0,3.0,20.0,51.0,2.65,40.0,6.0,3.0,0.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,12.0,5.0,4.0,15.0,22.0,68.2,7.0,20.0,8.0,12.0,18.0,42.0,1.0,1312.0,67.0,413.0,598.0,318.0,18.0,1312.0,14.0,25.0,56.0,769.0,61.0,45.0,6.0,879.0,19.0,16.0,0.0,15.0,34.0,1.0,0.0,0.0,0.0,95.0,10.0,15.0,40.0
-Alessio Romagnoli,it ITA,DF,Milan,26,1995,19.0,16.0,1409.0,1.0,0.0,0.0,0.0,4.0,1.0,0.06,0.0,0.06,0.06,0.06,0.8,0.8,0.05,0.05,15.7,5.0,0.0,41.7,0.32,0.08,0.2,0.06,0.2,0.2,893.0,999.0,89.4,16845.0,6188.0,291.0,323.0,90.1,505.0,540.0,93.5,80.0,108.0,74.1,3.0,66.0,3.0,0.0,71.0,947.0,51.0,34.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,5.0,12.0,0.77,11.0,0.0,0.0,1.0,0.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,0.0,24.0,14.0,14.0,10.0,0.0,14.0,18.0,77.8,4.0,21.0,12.0,9.0,19.0,45.0,0.0,1142.0,116.0,498.0,604.0,44.0,21.0,1142.0,2.0,2.0,100.0,614.0,6.0,0.0,0.0,786.0,3.0,0.0,0.0,17.0,13.0,3.0,0.0,1.0,0.0,79.0,46.0,19.0,70.8
-Simone Romagnoli,it ITA,DF,Empoli,31,1990,19.0,17.0,1497.0,2.0,0.0,0.0,0.0,3.0,0.0,0.12,0.0,0.12,0.12,0.12,1.5,1.5,0.09,0.09,16.6,2.0,0.0,40.0,0.12,0.4,1.0,0.3,0.5,0.5,612.0,796.0,76.9,12093.0,5583.0,205.0,245.0,83.7,320.0,395.0,81.0,83.0,136.0,61.0,5.0,44.0,7.0,0.0,61.0,726.0,63.0,47.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,7.0,6.0,11.0,0.66,9.0,2.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,28.0,12.0,14.0,12.0,2.0,15.0,20.0,75.0,5.0,34.0,28.0,6.0,9.0,86.0,0.0,982.0,183.0,528.0,424.0,34.0,13.0,982.0,1.0,1.0,100.0,469.0,14.0,5.0,0.0,509.0,4.0,2.0,0.0,17.0,5.0,0.0,0.0,1.0,1.0,103.0,54.0,33.0,62.1
-Luka Romero,ar ARG,FW,Lazio,16,2004,8.0,0.0,84.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.9,1.0,0.0,100.0,1.07,0.0,0.0,0.02,0.0,0.0,35.0,37.0,94.6,498.0,38.0,19.0,20.0,95.0,12.0,12.0,100.0,1.0,1.0,100.0,1.0,0.0,1.0,1.0,0.0,33.0,4.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,2.14,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,46.0,0.0,2.0,18.0,28.0,1.0,46.0,2.0,3.0,66.7,35.0,6.0,4.0,1.0,35.0,2.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Sergio Romero,ar ARG,GK,Venezia,34,1987,16.0,16.0,1440.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,415.0,586.0,70.8,11661.0,8294.0,78.0,80.0,97.5,191.0,199.0,96.0,145.0,305.0,47.5,1.0,11.0,0.0,0.0,1.0,397.0,188.0,46.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,0.31,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,1.0,10.0,0.0,647.0,575.0,643.0,4.0,0.0,0.0,647.0,0.0,0.0,0.0,355.0,0.0,0.0,0.0,253.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,13.0,6.0,1.0,85.7
-Cristiano Ronaldo,pt POR,FW,Juventus,36,1985,1.0,0.0,31.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.39,0.39,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.1,-0.1,8.0,13.0,61.5,105.0,16.0,6.0,8.0,75.0,1.0,2.0,50.0,1.0,1.0,100.0,1.0,0.0,0.0,0.0,2.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,5.81,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,8.0,7.0,2.0,15.0,1.0,1.0,100.0,7.0,1.0,2.0,0.0,11.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Marten de Roon,nl NED,"MF,DF",Atalanta,30,1991,30.0,28.0,2548.0,3.0,0.0,0.0,0.0,7.0,1.0,0.11,0.0,0.11,0.11,0.11,2.3,2.3,0.08,0.08,28.3,5.0,0.0,21.7,0.18,0.13,0.6,0.1,0.7,0.7,1434.0,1690.0,84.9,25483.0,8331.0,650.0,725.0,89.7,618.0,677.0,91.3,141.0,230.0,61.3,7.0,163.0,21.0,0.0,176.0,1615.0,72.0,50.0,0.0,32.0,7.0,0.0,0.0,0.0,0.0,22.0,3.0,21.0,42.0,1.48,38.0,1.0,1.0,1.0,0.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,0.0,69.0,42.0,33.0,29.0,7.0,34.0,62.0,54.8,28.0,36.0,2.0,34.0,45.0,41.0,0.0,1952.0,74.0,507.0,1129.0,327.0,19.0,1952.0,5.0,10.0,50.0,1090.0,19.0,23.0,2.0,1232.0,13.0,7.0,1.0,50.0,15.0,0.0,0.0,0.0,0.0,212.0,52.0,34.0,60.5
-Francesco Rossi,it ITA,GK,Atalanta,30,1991,1.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,16.0,75.0,341.0,279.0,0.0,0.0,0.0,8.0,8.0,100.0,4.0,8.0,50.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,17.0,17.0,0.0,0.0,0.0,17.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Nicolò Rovella,it ITA,MF,Genoa,19,2001,21.0,16.0,1468.0,0.0,3.0,0.0,0.0,5.0,0.0,0.0,0.18,0.18,0.0,0.18,1.2,1.2,0.08,0.08,16.3,4.0,6.0,23.5,0.25,0.0,0.0,0.07,-1.2,-1.2,762.0,977.0,78.0,14063.0,3760.0,344.0,373.0,92.2,269.0,327.0,82.3,121.0,226.0,53.5,30.0,64.0,8.0,1.0,84.0,822.0,152.0,75.0,3.0,11.0,110.0,68.0,26.0,32.0,0.0,9.0,3.0,11.0,61.0,3.74,28.0,25.0,1.0,2.0,4.0,6.0,0.37,2.0,4.0,0.0,0.0,0.0,0.0,37.0,26.0,16.0,14.0,7.0,15.0,40.0,37.5,25.0,21.0,1.0,20.0,20.0,20.0,0.0,1138.0,34.0,220.0,633.0,301.0,9.0,1138.0,16.0,28.0,57.1,636.0,31.0,23.0,0.0,685.0,20.0,16.0,0.0,26.0,24.0,3.0,0.0,0.0,0.0,118.0,5.0,15.0,25.0
-Amir Rrahmani,xk KVX,DF,Napoli,27,1994,33.0,33.0,2927.0,4.0,0.0,0.0,0.0,5.0,0.0,0.12,0.0,0.12,0.12,0.12,4.2,4.2,0.13,0.13,32.5,9.0,0.0,40.9,0.28,0.18,0.44,0.19,-0.2,-0.2,1835.0,2015.0,91.1,32159.0,11658.0,795.0,850.0,93.5,861.0,905.0,95.1,155.0,215.0,72.1,5.0,83.0,3.0,0.0,81.0,1906.0,107.0,61.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,21.0,0.65,18.0,0.0,0.0,2.0,0.0,4.0,0.12,4.0,0.0,0.0,0.0,0.0,0.0,21.0,11.0,15.0,5.0,1.0,15.0,19.0,78.9,4.0,36.0,25.0,11.0,19.0,89.0,0.0,2238.0,268.0,1084.0,1089.0,73.0,31.0,2238.0,5.0,6.0,83.3,1377.0,12.0,14.0,1.0,1583.0,10.0,7.0,0.0,23.0,23.0,0.0,0.0,0.0,0.0,174.0,78.0,50.0,60.9
-Ruan,br BRA,DF,Sassuolo,22,1999,10.0,0.0,214.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,84.0,110.0,76.4,1194.0,609.0,52.0,60.0,86.7,26.0,37.0,70.3,2.0,6.0,33.3,1.0,5.0,0.0,0.0,8.0,91.0,19.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,16.0,0.0,2.0,5.0,2.1,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,7.0,0.0,0.0,3.0,4.0,75.0,1.0,6.0,5.0,1.0,2.0,24.0,1.0,160.0,34.0,80.0,61.0,20.0,2.0,160.0,7.0,10.0,70.0,59.0,5.0,4.0,0.0,61.0,2.0,2.0,0.0,4.0,8.0,0.0,0.0,1.0,0.0,22.0,7.0,8.0,46.7
-Daniele Rugani,it ITA,DF,Juventus,27,1994,12.0,9.0,879.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,9.8,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,497.0,547.0,90.9,9586.0,3391.0,154.0,159.0,96.9,296.0,312.0,94.9,41.0,63.0,65.1,1.0,23.0,0.0,0.0,28.0,528.0,18.0,12.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,4.0,2.0,0.2,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,4.0,4.0,0.0,4.0,7.0,57.1,3.0,9.0,4.0,5.0,11.0,47.0,0.0,631.0,94.0,327.0,290.0,16.0,5.0,631.0,0.0,0.0,0.0,390.0,3.0,2.0,0.0,456.0,1.0,2.0,0.0,11.0,1.0,0.0,0.0,0.0,0.0,43.0,16.0,14.0,53.3
-Matteo Ruggeri,it ITA,DF,Salernitana,19,2002,14.0,8.0,676.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,7.5,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,198.0,302.0,65.6,3402.0,1434.0,94.0,114.0,82.5,78.0,122.0,63.9,22.0,47.0,46.8,4.0,15.0,6.0,5.0,16.0,251.0,49.0,3.0,0.0,4.0,29.0,0.0,0.0,0.0,0.0,46.0,2.0,6.0,8.0,1.06,7.0,1.0,0.0,0.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,5.0,2.0,1.0,7.0,10.0,70.0,3.0,6.0,1.0,5.0,2.0,25.0,0.0,366.0,40.0,117.0,157.0,94.0,10.0,366.0,3.0,6.0,50.0,146.0,10.0,4.0,1.0,200.0,9.0,3.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,40.0,9.0,7.0,56.3
-Mário Rui,pt POR,DF,Napoli,30,1991,34.0,34.0,2992.0,0.0,5.0,0.0,0.0,7.0,0.0,0.0,0.15,0.15,0.0,0.15,2.1,2.1,0.06,0.06,33.2,10.0,5.0,31.3,0.3,0.0,0.0,0.07,-2.1,-2.1,2073.0,2461.0,84.2,33194.0,10011.0,1142.0,1230.0,92.8,682.0,786.0,86.8,183.0,301.0,60.8,41.0,126.0,36.0,8.0,150.0,2104.0,346.0,80.0,1.0,34.0,80.0,18.0,7.0,6.0,0.0,248.0,11.0,35.0,83.0,2.5,65.0,5.0,3.0,3.0,6.0,10.0,0.3,5.0,2.0,0.0,1.0,2.0,0.0,68.0,43.0,32.0,28.0,8.0,39.0,84.0,46.4,45.0,31.0,7.0,24.0,40.0,50.0,0.0,2736.0,102.0,764.0,1346.0,642.0,53.0,2736.0,14.0,24.0,58.3,1546.0,67.0,35.0,13.0,1892.0,25.0,14.0,0.0,31.0,60.0,4.0,0.0,0.0,0.0,173.0,14.0,31.0,31.1
-Fabián Ruiz Peña,es ESP,MF,Napoli,25,1996,32.0,29.0,2384.0,7.0,4.0,0.0,0.0,2.0,0.0,0.26,0.15,0.42,0.26,0.42,2.1,2.1,0.08,0.08,26.5,13.0,0.0,32.5,0.49,0.18,0.54,0.05,4.9,4.9,1969.0,2196.0,89.7,32223.0,8053.0,1057.0,1132.0,93.4,654.0,719.0,91.0,190.0,230.0,82.6,32.0,219.0,32.0,2.0,220.0,2143.0,48.0,47.0,2.0,37.0,17.0,0.0,0.0,0.0,0.0,1.0,5.0,26.0,84.0,3.17,77.0,1.0,0.0,3.0,2.0,11.0,0.42,11.0,0.0,0.0,0.0,0.0,0.0,55.0,33.0,22.0,29.0,4.0,29.0,67.0,43.3,38.0,34.0,1.0,33.0,22.0,32.0,0.0,2455.0,73.0,463.0,1495.0,516.0,39.0,2455.0,12.0,22.0,54.5,1488.0,58.0,46.0,9.0,1962.0,28.0,11.0,0.0,21.0,18.0,1.0,0.0,0.0,0.0,203.0,8.0,12.0,40.0
-Alessandro Russo,it ITA,MF,Salernitana,17,2003,1.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,6.0,50.0,24.0,6.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,1.0,4.0,4.0,2.0,1.0,9.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Stefano Sabelli,it ITA,DF,Genoa,28,1993,7.0,5.0,348.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,3.9,1.0,0.0,50.0,0.26,0.0,0.0,0.08,-0.2,-0.2,96.0,153.0,62.7,1485.0,630.0,52.0,64.0,81.3,41.0,59.0,69.5,2.0,15.0,13.3,2.0,8.0,3.0,0.0,14.0,123.0,30.0,1.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,29.0,0.0,10.0,6.0,1.55,4.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,3.0,2.0,1.0,3.0,9.0,33.3,6.0,5.0,1.0,4.0,3.0,12.0,0.0,203.0,13.0,68.0,76.0,61.0,5.0,203.0,1.0,4.0,25.0,109.0,11.0,4.0,1.0,110.0,12.0,4.0,0.0,6.0,8.0,0.0,0.0,1.0,0.0,19.0,3.0,4.0,42.9
-Abdelhamid Sabiri,ma MAR,"MF,FW",Sampdoria,24,1996,14.0,9.0,893.0,3.0,2.0,0.0,0.0,3.0,0.0,0.3,0.2,0.5,0.3,0.5,1.3,1.3,0.13,0.13,9.9,9.0,3.0,56.3,0.91,0.19,0.33,0.08,1.7,1.7,259.0,346.0,74.9,4452.0,1155.0,123.0,145.0,84.8,98.0,121.0,81.0,28.0,44.0,63.6,13.0,28.0,5.0,1.0,35.0,313.0,29.0,15.0,0.0,4.0,15.0,6.0,4.0,0.0,0.0,5.0,4.0,13.0,28.0,2.82,18.0,2.0,4.0,0.0,2.0,5.0,0.5,2.0,0.0,1.0,0.0,1.0,1.0,34.0,18.0,10.0,15.0,9.0,7.0,25.0,28.0,18.0,10.0,2.0,8.0,7.0,3.0,0.0,481.0,5.0,52.0,256.0,181.0,24.0,481.0,17.0,30.0,56.7,275.0,13.0,14.0,4.0,347.0,32.0,18.0,0.0,21.0,34.0,1.0,0.0,0.0,0.0,39.0,26.0,26.0,50.0
-Alexis Saelemaekers,be BEL,FW,Milan,22,1999,36.0,22.0,1865.0,1.0,3.0,0.0,0.0,2.0,0.0,0.05,0.14,0.19,0.05,0.19,3.6,3.6,0.17,0.17,20.7,12.0,0.0,30.8,0.58,0.03,0.08,0.09,-2.6,-2.6,681.0,869.0,78.4,9508.0,2300.0,438.0,500.0,87.6,189.0,241.0,78.4,34.0,60.0,56.7,38.0,45.0,26.0,10.0,54.0,840.0,28.0,6.0,2.0,1.0,63.0,10.0,0.0,2.0,0.0,11.0,1.0,26.0,82.0,3.96,61.0,3.0,8.0,5.0,4.0,8.0,0.39,5.0,0.0,1.0,0.0,2.0,0.0,43.0,22.0,12.0,17.0,14.0,15.0,51.0,29.4,36.0,19.0,0.0,19.0,15.0,8.0,0.0,1129.0,14.0,111.0,511.0,530.0,68.0,1129.0,52.0,92.0,56.5,687.0,63.0,39.0,16.0,827.0,54.0,29.0,0.0,29.0,37.0,1.0,0.0,0.0,0.0,120.0,9.0,14.0,39.1
-Jacopo Sala,it ITA,MF,Spezia,29,1991,18.0,13.0,880.0,1.0,0.0,0.0,0.0,3.0,0.0,0.1,0.0,0.1,0.1,0.1,0.2,0.2,0.02,0.02,9.8,2.0,0.0,50.0,0.2,0.25,0.5,0.04,0.8,0.8,407.0,473.0,86.0,6478.0,1820.0,203.0,224.0,90.6,158.0,177.0,89.3,28.0,43.0,65.1,7.0,35.0,4.0,1.0,41.0,450.0,21.0,20.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,1.0,2.0,8.0,19.0,1.94,14.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,11.0,10.0,10.0,2.0,13.0,30.0,43.3,17.0,6.0,0.0,6.0,14.0,11.0,0.0,557.0,19.0,175.0,311.0,80.0,6.0,557.0,5.0,12.0,41.7,323.0,7.0,8.0,0.0,345.0,9.0,4.0,0.0,11.0,12.0,1.0,0.0,1.0,0.0,71.0,4.0,4.0,50.0
-Eddie Salcedo,it ITA,"MF,FW",Spezia,19,2001,12.0,5.0,429.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,1.6,0.33,0.33,4.8,4.0,1.0,25.0,0.84,0.0,0.0,0.1,-1.6,-1.6,100.0,148.0,67.6,1612.0,410.0,48.0,69.0,69.6,36.0,44.0,81.8,9.0,15.0,60.0,5.0,10.0,5.0,1.0,17.0,139.0,8.0,1.0,0.0,0.0,13.0,5.0,2.0,3.0,0.0,1.0,1.0,2.0,16.0,3.35,11.0,1.0,0.0,3.0,1.0,1.0,0.21,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,2.0,1.0,1.0,0.0,7.0,1.0,205.0,7.0,22.0,85.0,100.0,28.0,205.0,3.0,9.0,33.3,109.0,8.0,5.0,5.0,145.0,14.0,7.0,0.0,8.0,6.0,2.0,0.0,0.0,0.0,14.0,11.0,10.0,52.4
-Lazar Samardzic,de GER,"MF,FW",Udinese,19,2002,22.0,1.0,490.0,2.0,2.0,0.0,0.0,0.0,0.0,0.37,0.37,0.73,0.37,0.73,1.2,1.2,0.21,0.21,5.4,6.0,1.0,35.3,1.1,0.12,0.33,0.07,0.8,0.8,200.0,258.0,77.5,3372.0,1147.0,102.0,121.0,84.3,66.0,81.0,81.5,25.0,44.0,56.8,19.0,18.0,6.0,1.0,22.0,214.0,43.0,16.0,4.0,6.0,32.0,21.0,11.0,5.0,0.0,5.0,1.0,2.0,40.0,7.35,20.0,12.0,4.0,1.0,2.0,5.0,0.92,0.0,3.0,2.0,0.0,0.0,0.0,13.0,9.0,4.0,7.0,2.0,7.0,26.0,26.9,19.0,6.0,0.0,6.0,2.0,2.0,0.0,338.0,5.0,38.0,148.0,158.0,13.0,338.0,15.0,26.0,57.7,173.0,10.0,7.0,5.0,203.0,14.0,8.0,0.0,11.0,3.0,0.0,0.0,0.0,0.0,33.0,6.0,5.0,54.5
-Luigi Samele,it ITA,FW,Sassuolo,19,2002,2.0,0.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,18.0,18.0,0.0,18.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,16.0,3.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,2.0,0.0,2.0,1.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Antonio Sanabria,py PAR,FW,Torino,25,1996,29.0,22.0,1803.0,6.0,1.0,0.0,0.0,3.0,0.0,0.3,0.05,0.35,0.3,0.35,8.3,8.3,0.42,0.42,20.0,19.0,1.0,38.8,0.95,0.12,0.32,0.17,-2.3,-2.3,348.0,482.0,72.2,4786.0,453.0,218.0,281.0,77.6,79.0,108.0,73.1,23.0,28.0,82.1,18.0,14.0,6.0,1.0,24.0,461.0,20.0,1.0,1.0,6.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,14.0,35.0,1.75,24.0,0.0,2.0,6.0,3.0,5.0,0.25,1.0,0.0,1.0,1.0,2.0,0.0,3.0,2.0,0.0,1.0,2.0,1.0,4.0,25.0,3.0,11.0,4.0,7.0,2.0,10.0,0.0,707.0,12.0,33.0,325.0,354.0,84.0,707.0,13.0,20.0,65.0,414.0,11.0,11.0,7.0,576.0,79.0,37.0,0.0,26.0,34.0,21.0,2.0,0.0,0.0,52.0,78.0,124.0,38.6
-Alexis Sánchez,cl CHI,FW,Inter,32,1988,27.0,7.0,881.0,5.0,2.0,0.0,0.0,0.0,0.0,0.51,0.2,0.72,0.51,0.72,5.0,5.0,0.51,0.51,9.8,13.0,1.0,39.4,1.33,0.15,0.38,0.15,0.0,0.0,348.0,456.0,76.3,5914.0,1714.0,174.0,206.0,84.5,109.0,141.0,77.3,47.0,75.0,62.7,20.0,32.0,30.0,5.0,76.0,420.0,33.0,10.0,5.0,8.0,35.0,19.0,8.0,5.0,0.0,0.0,3.0,9.0,53.0,5.44,38.0,6.0,2.0,3.0,2.0,6.0,0.62,5.0,1.0,0.0,0.0,0.0,0.0,9.0,8.0,0.0,6.0,3.0,2.0,11.0,18.2,9.0,4.0,0.0,4.0,2.0,3.0,0.0,565.0,4.0,33.0,237.0,299.0,51.0,565.0,21.0,39.0,53.8,363.0,22.0,14.0,9.0,436.0,22.0,14.0,0.0,10.0,21.0,8.0,0.0,0.0,0.0,36.0,10.0,16.0,38.5
-Alex Sandro,br BRA,DF,Juventus,30,1991,28.0,17.0,1780.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.05,0.05,0.0,0.05,1.0,1.0,0.05,0.05,19.8,2.0,0.0,22.2,0.1,0.0,0.0,0.11,-1.0,-1.0,918.0,1096.0,83.8,16222.0,5459.0,396.0,440.0,90.0,420.0,489.0,85.9,84.0,119.0,70.6,23.0,73.0,26.0,10.0,80.0,960.0,132.0,21.0,0.0,8.0,35.0,0.0,0.0,0.0,0.0,109.0,4.0,15.0,42.0,2.12,36.0,1.0,1.0,0.0,3.0,7.0,0.35,6.0,0.0,0.0,0.0,1.0,0.0,27.0,16.0,15.0,9.0,3.0,11.0,25.0,44.0,14.0,17.0,6.0,11.0,27.0,40.0,0.0,1288.0,84.0,411.0,568.0,321.0,37.0,1288.0,14.0,29.0,48.3,725.0,68.0,32.0,9.0,835.0,15.0,20.0,0.0,31.0,34.0,1.0,1.0,0.0,1.0,113.0,31.0,20.0,60.8
-Nicola Sansone,it ITA,"FW,MF",Bologna,29,1991,27.0,6.0,896.0,2.0,3.0,0.0,0.0,6.0,0.0,0.2,0.3,0.5,0.2,0.5,3.5,3.5,0.35,0.35,10.0,6.0,1.0,25.0,0.6,0.08,0.33,0.14,-1.5,-1.5,236.0,336.0,70.2,3516.0,1020.0,126.0,152.0,82.9,65.0,91.0,71.4,23.0,50.0,46.0,16.0,15.0,12.0,8.0,22.0,287.0,49.0,18.0,4.0,1.0,52.0,25.0,16.0,4.0,0.0,4.0,0.0,10.0,37.0,3.72,18.0,10.0,1.0,5.0,3.0,6.0,0.6,2.0,1.0,0.0,1.0,2.0,0.0,13.0,7.0,5.0,6.0,2.0,3.0,15.0,20.0,12.0,1.0,0.0,1.0,4.0,2.0,0.0,443.0,3.0,60.0,167.0,221.0,26.0,443.0,14.0,34.0,41.2,286.0,21.0,20.0,8.0,326.0,23.0,15.0,0.0,16.0,21.0,6.0,2.0,0.0,0.0,52.0,7.0,18.0,28.0
-Federico Santander,py PAR,"FW,DF",Bologna,30,1991,7.0,0.0,67.0,1.0,0.0,0.0,0.0,1.0,0.0,1.34,0.0,1.34,1.34,1.34,0.5,0.5,0.68,0.68,0.7,1.0,0.0,50.0,1.34,0.5,1.0,0.25,0.5,0.5,17.0,29.0,58.6,242.0,48.0,10.0,16.0,62.5,5.0,6.0,83.3,1.0,1.0,100.0,1.0,2.0,1.0,0.0,3.0,27.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,4.03,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,1.0,2.0,16.0,20.0,4.0,37.0,0.0,2.0,0.0,19.0,0.0,0.0,0.0,33.0,1.0,3.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,3.0,8.0,7.0,53.3
-Samir Santos,br BRA,DF,Udinese,26,1994,17.0,17.0,1421.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.06,0.06,15.8,3.0,0.0,42.9,0.19,0.0,0.0,0.13,-0.9,-0.9,535.0,688.0,77.8,9395.0,3682.0,235.0,269.0,87.4,243.0,287.0,84.7,47.0,106.0,44.3,3.0,32.0,3.0,2.0,46.0,621.0,66.0,26.0,0.0,4.0,12.0,0.0,0.0,0.0,0.0,37.0,1.0,11.0,12.0,0.76,8.0,1.0,0.0,2.0,0.0,2.0,0.13,1.0,0.0,0.0,1.0,0.0,0.0,36.0,16.0,22.0,13.0,1.0,15.0,25.0,60.0,10.0,21.0,7.0,14.0,42.0,62.0,0.0,878.0,95.0,418.0,410.0,56.0,9.0,878.0,3.0,5.0,60.0,442.0,14.0,10.0,1.0,477.0,9.0,3.0,0.0,33.0,16.0,0.0,0.0,0.0,0.0,77.0,40.0,17.0,70.2
-Riccardo Saponara,it ITA,FW,Fiorentina,29,1991,29.0,13.0,1284.0,3.0,3.0,0.0,0.0,1.0,0.0,0.21,0.21,0.42,0.21,0.42,2.9,2.9,0.2,0.2,14.3,14.0,0.0,37.8,0.98,0.08,0.21,0.08,0.1,0.1,427.0,555.0,76.9,7378.0,1930.0,204.0,249.0,81.9,171.0,208.0,82.2,40.0,55.0,72.7,20.0,39.0,25.0,7.0,93.0,545.0,8.0,5.0,0.0,13.0,28.0,1.0,0.0,0.0,0.0,2.0,2.0,19.0,63.0,4.41,47.0,0.0,5.0,5.0,6.0,8.0,0.56,6.0,0.0,0.0,1.0,1.0,0.0,10.0,2.0,1.0,6.0,3.0,6.0,16.0,37.5,10.0,5.0,0.0,5.0,1.0,3.0,0.0,713.0,7.0,88.0,294.0,338.0,71.0,713.0,20.0,53.0,37.7,501.0,84.0,52.0,29.0,583.0,32.0,19.0,0.0,6.0,24.0,4.0,1.0,0.0,0.0,59.0,5.0,9.0,35.7
-Giacomo Satalino,it ITA,GK,Sassuolo,22,1999,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,22.0,22.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Martin Satriano,uy URU,"FW,MF",Inter,20,2001,4.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,11.0,72.7,95.0,12.0,6.0,9.0,66.7,2.0,2.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.37,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,2.0,4.0,9.0,1.0,14.0,0.0,0.0,0.0,8.0,0.0,1.0,1.0,8.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,25.0
-Giorgio Scalvini,it ITA,"DF,MF",Atalanta,17,2003,18.0,9.0,763.0,1.0,0.0,0.0,0.0,1.0,0.0,0.12,0.0,0.12,0.12,0.12,1.8,1.8,0.21,0.21,8.5,3.0,0.0,18.8,0.35,0.06,0.33,0.11,-0.8,-0.8,405.0,497.0,81.5,6846.0,2737.0,201.0,221.0,91.0,167.0,195.0,85.6,29.0,61.0,47.5,5.0,43.0,5.0,0.0,53.0,474.0,22.0,14.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,8.0,1.0,4.0,16.0,1.89,11.0,0.0,1.0,2.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,0.0,22.0,11.0,13.0,8.0,1.0,9.0,19.0,47.4,10.0,12.0,1.0,11.0,22.0,16.0,0.0,599.0,22.0,223.0,276.0,104.0,26.0,599.0,4.0,6.0,66.7,322.0,9.0,7.0,2.0,385.0,13.0,6.0,0.0,15.0,7.0,0.0,0.0,0.0,0.0,56.0,20.0,17.0,54.1
-Gianluca Scamacca,it ITA,FW,Sassuolo,22,1999,36.0,25.0,2146.0,16.0,0.0,1.0,1.0,7.0,0.0,0.67,0.0,0.67,0.63,0.63,11.5,10.7,0.48,0.45,23.8,36.0,1.0,46.2,1.51,0.19,0.42,0.14,4.5,4.3,399.0,550.0,72.5,5604.0,916.0,243.0,304.0,79.9,104.0,144.0,72.2,26.0,38.0,68.4,25.0,23.0,11.0,0.0,36.0,498.0,51.0,0.0,3.0,6.0,11.0,0.0,0.0,0.0,0.0,0.0,1.0,14.0,57.0,2.39,47.0,0.0,3.0,5.0,2.0,6.0,0.25,4.0,0.0,1.0,1.0,0.0,0.0,19.0,14.0,2.0,5.0,12.0,5.0,21.0,23.8,16.0,16.0,1.0,15.0,5.0,22.0,1.0,808.0,26.0,62.0,413.0,342.0,89.0,807.0,21.0,30.0,70.0,461.0,21.0,22.0,6.0,630.0,74.0,49.0,0.0,49.0,20.0,10.0,0.0,0.0,0.0,46.0,51.0,39.0,56.7
-Andrea Schiavone,it ITA,MF,Salernitana,28,1993,14.0,5.0,571.0,1.0,0.0,0.0,0.0,1.0,0.0,0.16,0.0,0.16,0.16,0.16,0.1,0.1,0.02,0.02,6.3,1.0,0.0,50.0,0.16,0.5,1.0,0.07,0.9,0.9,199.0,243.0,81.9,3724.0,1264.0,82.0,89.0,92.1,82.0,92.0,89.1,29.0,49.0,59.2,11.0,21.0,3.0,0.0,19.0,206.0,37.0,15.0,0.0,3.0,29.0,20.0,6.0,13.0,0.0,2.0,0.0,3.0,17.0,2.66,6.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,9.0,0.0,10.0,23.0,43.5,13.0,13.0,3.0,10.0,8.0,12.0,0.0,305.0,20.0,63.0,183.0,59.0,8.0,305.0,1.0,2.0,50.0,135.0,5.0,3.0,0.0,152.0,8.0,1.0,0.0,10.0,5.0,0.0,0.0,0.0,0.0,29.0,3.0,3.0,50.0
-David Schnegg,at AUT,DF,Venezia,22,1998,4.0,2.0,142.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,87.0,65.5,1058.0,511.0,24.0,26.0,92.3,28.0,40.0,70.0,5.0,19.0,26.3,1.0,2.0,1.0,1.0,1.0,70.0,17.0,0.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,3.0,1.91,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,3.0,33.3,2.0,4.0,0.0,4.0,3.0,6.0,0.0,112.0,8.0,55.0,41.0,20.0,0.0,112.0,1.0,6.0,16.7,63.0,2.0,1.0,0.0,58.0,3.0,5.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,16.0,2.0,3.0,40.0
-Jerdy Schouten,nl NED,MF,Bologna,24,1997,17.0,16.0,1392.0,1.0,1.0,0.0,0.0,4.0,1.0,0.06,0.06,0.13,0.06,0.13,0.2,0.2,0.02,0.02,15.5,1.0,0.0,16.7,0.06,0.17,1.0,0.04,0.8,0.8,665.0,791.0,84.1,10733.0,3656.0,336.0,381.0,88.2,253.0,292.0,86.6,51.0,64.0,79.7,12.0,85.0,11.0,0.0,82.0,773.0,13.0,6.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,11.0,36.0,2.33,33.0,0.0,1.0,0.0,2.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,0.0,25.0,17.0,10.0,12.0,3.0,9.0,22.0,40.9,13.0,22.0,5.0,17.0,33.0,29.0,1.0,969.0,63.0,280.0,547.0,148.0,4.0,969.0,22.0,25.0,88.0,447.0,9.0,13.0,1.0,601.0,25.0,11.0,1.0,17.0,7.0,0.0,0.0,0.0,0.0,102.0,28.0,18.0,60.9
-Demba Seck,sn SEN,"MF,FW",Torino,20,2001,6.0,1.0,146.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.36,0.36,1.6,3.0,0.0,75.0,1.85,0.0,0.0,0.15,-0.6,-0.6,34.0,43.0,79.1,457.0,57.0,18.0,23.0,78.3,10.0,11.0,90.9,2.0,2.0,100.0,0.0,3.0,1.0,0.0,3.0,42.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,5.0,3.08,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,60.0,0.0,2.0,25.0,33.0,10.0,60.0,4.0,6.0,66.7,42.0,6.0,2.0,6.0,46.0,4.0,2.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,5.0,1.0,3.0,25.0
-Adrian Šemper,hr CRO,GK,Genoa,23,1998,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,37.0,54.1,675.0,535.0,3.0,3.0,100.0,7.0,8.0,87.5,10.0,26.0,38.5,0.0,0.0,0.0,0.0,0.0,29.0,8.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,35.0,39.0,0.0,0.0,0.0,39.0,0.0,0.0,0.0,25.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
-Stefano Sensi,it ITA,"MF,FW",Sampdoria,25,1995,11.0,10.0,754.0,1.0,0.0,0.0,0.0,1.0,0.0,0.12,0.0,0.12,0.12,0.12,1.2,1.2,0.15,0.15,8.4,4.0,0.0,40.0,0.48,0.1,0.25,0.12,-0.2,-0.2,319.0,392.0,81.4,5388.0,1162.0,147.0,163.0,90.2,133.0,152.0,87.5,30.0,44.0,68.2,9.0,24.0,3.0,0.0,34.0,375.0,15.0,9.0,1.0,3.0,6.0,1.0,0.0,1.0,0.0,2.0,2.0,9.0,15.0,1.79,12.0,0.0,0.0,2.0,0.0,2.0,0.24,1.0,0.0,0.0,1.0,0.0,0.0,18.0,9.0,10.0,6.0,2.0,10.0,23.0,43.5,13.0,2.0,0.0,2.0,6.0,4.0,0.0,488.0,10.0,78.0,258.0,160.0,15.0,488.0,13.0,25.0,52.0,305.0,16.0,19.0,1.0,352.0,17.0,16.0,0.0,18.0,24.0,0.0,0.0,0.0,0.0,48.0,8.0,4.0,66.7
-Stefano Sensi,it ITA,"MF,FW",Inter,25,1995,9.0,1.0,167.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.23,0.23,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.4,-0.4,113.0,129.0,87.6,1806.0,343.0,62.0,67.0,92.5,43.0,49.0,87.8,7.0,8.0,87.5,4.0,11.0,2.0,1.0,13.0,126.0,2.0,1.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,9.0,4.97,6.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,3.0,0.0,2.0,4.0,50.0,2.0,2.0,0.0,2.0,0.0,2.0,0.0,154.0,0.0,19.0,81.0,56.0,8.0,154.0,3.0,4.0,75.0,106.0,7.0,5.0,0.0,125.0,6.0,4.0,0.0,4.0,5.0,1.0,0.0,0.0,0.0,14.0,2.0,2.0,50.0
-Luigi Sepe,it ITA,GK,Salernitana,30,1991,16.0,16.0,1392.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,398.0,566.0,70.3,14404.0,12454.0,59.0,60.0,98.3,127.0,130.0,97.7,210.0,371.0,56.6,0.0,23.0,1.0,0.0,1.0,367.0,196.0,66.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,7.0,0.45,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,604.0,490.0,596.0,8.0,0.0,0.0,604.0,0.0,1.0,0.0,318.0,0.0,2.0,2.0,240.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,20.0,3.0,0.0,100.0
-Laurens Serpe,it ITA,DF,Genoa,20,2001,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,31.0,83.9,508.0,84.0,6.0,6.0,100.0,17.0,18.0,94.4,3.0,5.0,60.0,0.0,4.0,0.0,0.0,5.0,30.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,37.0,4.0,15.0,19.0,3.0,1.0,37.0,0.0,1.0,0.0,23.0,2.0,2.0,0.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
-Stephan El Shaarawy,it ITA,"FW,DF",Roma,28,1992,27.0,8.0,1055.0,3.0,0.0,0.0,0.0,1.0,0.0,0.26,0.0,0.26,0.26,0.26,3.6,3.6,0.3,0.3,11.7,12.0,1.0,30.8,1.02,0.08,0.25,0.09,-0.6,-0.6,482.0,583.0,82.7,8215.0,2106.0,239.0,274.0,87.2,196.0,228.0,86.0,41.0,55.0,74.5,31.0,30.0,31.0,2.0,78.0,531.0,51.0,5.0,4.0,7.0,18.0,0.0,0.0,0.0,0.0,46.0,1.0,11.0,51.0,4.35,43.0,0.0,4.0,3.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,13.0,8.0,4.0,9.0,0.0,4.0,6.0,66.7,2.0,10.0,2.0,8.0,11.0,8.0,0.0,727.0,8.0,96.0,316.0,326.0,61.0,727.0,20.0,39.0,51.3,425.0,58.0,42.0,20.0,495.0,22.0,13.0,0.0,8.0,12.0,3.0,0.0,0.0,0.0,63.0,14.0,15.0,48.3
-Aimar Sher,se SWE,MF,Spezia,18,2002,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,21.0,90.5,268.0,75.0,12.0,12.0,100.0,6.0,7.0,85.7,0.0,0.0,0.0,0.0,4.0,1.0,0.0,3.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,3.0,1.0,0.0,30.0,1.0,8.0,18.0,4.0,0.0,30.0,0.0,0.0,0.0,11.0,0.0,2.0,0.0,13.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
-Eldor Shomurodov,uz UZB,"FW,MF",Roma,26,1995,28.0,5.0,784.0,3.0,4.0,0.0,0.0,2.0,0.0,0.34,0.46,0.8,0.34,0.8,4.6,4.6,0.53,0.53,8.7,11.0,0.0,35.5,1.26,0.1,0.27,0.15,-1.6,-1.6,152.0,225.0,67.6,1885.0,501.0,107.0,141.0,75.9,33.0,49.0,67.3,3.0,6.0,50.0,20.0,13.0,5.0,2.0,17.0,217.0,6.0,0.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,3.0,2.0,9.0,30.0,3.45,29.0,0.0,1.0,0.0,0.0,5.0,0.57,4.0,0.0,1.0,0.0,0.0,0.0,5.0,4.0,0.0,4.0,1.0,1.0,10.0,10.0,9.0,8.0,0.0,8.0,2.0,5.0,0.0,341.0,3.0,24.0,130.0,191.0,69.0,341.0,3.0,12.0,25.0,179.0,28.0,15.0,12.0,248.0,22.0,16.0,0.0,16.0,6.0,4.0,0.0,0.0,0.0,28.0,22.0,33.0,40.0
-Alassane Sidibe,ci CIV,MF,Atalanta,19,2002,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,15.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,1.0,1.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Arnór Sigurðsson,is ISL,"FW,MF",Venezia,22,1999,9.0,0.0,183.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.06,0.06,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.1,-0.1,39.0,53.0,73.6,495.0,126.0,24.0,29.0,82.8,9.0,13.0,69.2,2.0,4.0,50.0,2.0,4.0,0.0,0.0,4.0,49.0,3.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,4.0,1.98,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,2.0,50.0,1.0,2.0,0.0,2.0,1.0,0.0,0.0,74.0,0.0,9.0,32.0,35.0,5.0,74.0,3.0,6.0,50.0,55.0,6.0,1.0,1.0,50.0,7.0,5.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,12.0,0.0,7.0,0.0
-Adrien Silva,pt POR,MF,Sampdoria,32,1989,17.0,12.0,1083.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.08,0.08,0.0,0.08,0.4,0.4,0.03,0.03,12.0,2.0,0.0,25.0,0.17,0.0,0.0,0.05,-0.4,-0.4,512.0,603.0,84.9,9444.0,2428.0,204.0,235.0,86.8,232.0,263.0,88.2,59.0,73.0,80.8,8.0,40.0,6.0,3.0,57.0,577.0,24.0,22.0,0.0,13.0,6.0,0.0,0.0,0.0,0.0,2.0,2.0,10.0,23.0,1.91,20.0,1.0,0.0,2.0,0.0,3.0,0.25,2.0,0.0,0.0,1.0,0.0,0.0,24.0,12.0,14.0,5.0,5.0,9.0,33.0,27.3,24.0,15.0,5.0,10.0,23.0,23.0,0.0,750.0,40.0,197.0,461.0,99.0,6.0,750.0,10.0,13.0,76.9,418.0,14.0,8.0,1.0,442.0,22.0,11.0,0.0,13.0,17.0,0.0,0.0,0.0,0.0,97.0,11.0,11.0,50.0
-Marco Silvestri,it ITA,GK,Udinese,30,1991,35.0,35.0,3150.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,642.0,942.0,68.2,18568.0,14841.0,153.0,153.0,100.0,267.0,270.0,98.9,216.0,500.0,43.2,2.0,13.0,0.0,0.0,0.0,587.0,342.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,2.0,0.06,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,11.0,1.0,1021.0,914.0,1018.0,3.0,0.0,0.0,1021.0,0.0,0.0,0.0,486.0,0.0,0.0,0.0,388.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,1.0,0.0,27.0,7.0,0.0,100.0
-Giovanni Simeone,ar ARG,FW,Hellas Verona,26,1995,35.0,32.0,2653.0,17.0,5.0,0.0,1.0,8.0,0.0,0.58,0.17,0.75,0.58,0.75,11.5,10.7,0.39,0.36,29.5,32.0,0.0,46.4,1.09,0.25,0.53,0.15,5.5,6.3,465.0,679.0,68.5,5771.0,916.0,305.0,394.0,77.4,85.0,126.0,67.5,25.0,39.0,64.1,24.0,21.0,18.0,4.0,40.0,628.0,49.0,0.0,4.0,5.0,26.0,0.0,0.0,0.0,0.0,0.0,2.0,36.0,58.0,1.97,41.0,0.0,3.0,7.0,5.0,9.0,0.31,7.0,0.0,0.0,1.0,1.0,0.0,27.0,15.0,6.0,12.0,9.0,9.0,39.0,23.1,30.0,37.0,3.0,34.0,6.0,23.0,0.0,1099.0,28.0,94.0,458.0,563.0,142.0,1098.0,23.0,61.0,37.7,653.0,40.0,34.0,16.0,862.0,136.0,80.0,0.0,56.0,58.0,34.0,1.0,0.0,0.0,81.0,60.0,108.0,35.7
-Giovanni Simeone,ar ARG,FW,Cagliari,26,1995,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,26.0,10.0,1.0,2.0,50.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,3.0,2.0,2.0,5.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
-Wilfried Singo,ci CIV,DF,Torino,20,2000,35.0,32.0,2607.0,3.0,4.0,0.0,0.0,5.0,1.0,0.1,0.14,0.24,0.1,0.24,3.4,3.4,0.12,0.12,29.0,7.0,0.0,17.1,0.24,0.07,0.43,0.08,-0.4,-0.4,1065.0,1397.0,76.2,17613.0,5734.0,506.0,579.0,87.4,459.0,574.0,80.0,74.0,147.0,50.3,23.0,63.0,31.0,15.0,89.0,1127.0,263.0,16.0,1.0,7.0,80.0,0.0,0.0,0.0,0.0,247.0,7.0,44.0,58.0,2.0,43.0,2.0,2.0,6.0,4.0,6.0,0.21,6.0,0.0,0.0,0.0,0.0,0.0,55.0,35.0,24.0,24.0,7.0,24.0,34.0,70.6,10.0,26.0,6.0,20.0,23.0,47.0,0.0,1773.0,66.0,339.0,804.0,654.0,71.0,1773.0,41.0,81.0,50.6,974.0,69.0,56.0,18.0,1038.0,66.0,18.0,0.0,43.0,59.0,8.0,0.0,0.0,0.0,170.0,42.0,33.0,56.0
-Salvatore Sirigu,it ITA,GK,Genoa,34,1987,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,777.0,1182.0,65.7,24637.0,19024.0,141.0,142.0,99.3,264.0,270.0,97.8,370.0,764.0,48.4,0.0,17.0,0.0,0.0,0.0,799.0,380.0,117.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,0.11,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,19.0,2.0,1282.0,1064.0,1277.0,5.0,0.0,0.0,1282.0,0.0,0.0,0.0,695.0,0.0,0.0,0.0,552.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,28.0,5.0,0.0,100.0
-Leo Skiri Østigård,no NOR,DF,Genoa,21,1999,15.0,13.0,1172.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.03,0.03,13.0,1.0,0.0,14.3,0.08,0.0,0.0,0.05,-0.4,-0.4,392.0,556.0,70.5,7513.0,3419.0,152.0,185.0,82.2,192.0,257.0,74.7,43.0,99.0,43.4,2.0,36.0,1.0,0.0,38.0,538.0,16.0,14.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,12.0,0.92,10.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,8.0,7.0,1.0,9.0,11.0,81.8,2.0,17.0,10.0,7.0,8.0,55.0,1.0,678.0,96.0,342.0,309.0,32.0,15.0,678.0,2.0,3.0,66.7,318.0,10.0,3.0,1.0,326.0,3.0,0.0,1.0,15.0,6.0,3.0,0.0,0.0,0.0,85.0,63.0,19.0,76.8
-Łukasz Skorupski,pl POL,GK,Bologna,30,1991,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,944.0,1253.0,75.3,24480.0,17480.0,214.0,214.0,100.0,322.0,334.0,96.4,336.0,629.0,53.4,0.0,5.0,0.0,0.0,0.0,835.0,415.0,121.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,0.03,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,17.0,0.0,1349.0,1177.0,1346.0,3.0,0.0,0.0,1349.0,0.0,0.0,0.0,680.0,0.0,0.0,0.0,567.0,0.0,0.0,0.0,2.0,5.0,0.0,0.0,2.0,0.0,40.0,15.0,1.0,93.8
-Andreas Skov Olsen,dk DEN,"FW,DF",Bologna,21,1999,18.0,6.0,747.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.24,0.24,0.0,0.24,0.9,0.9,0.1,0.1,8.3,2.0,0.0,28.6,0.24,0.0,0.0,0.12,-0.9,-0.9,304.0,400.0,76.0,4310.0,1374.0,186.0,215.0,86.5,88.0,113.0,77.9,21.0,50.0,42.0,8.0,13.0,8.0,6.0,19.0,333.0,65.0,6.0,1.0,0.0,37.0,17.0,7.0,0.0,0.0,42.0,2.0,7.0,23.0,2.77,17.0,3.0,1.0,1.0,1.0,6.0,0.72,3.0,1.0,1.0,0.0,1.0,0.0,12.0,10.0,4.0,4.0,4.0,5.0,11.0,45.5,6.0,9.0,1.0,8.0,3.0,11.0,0.0,491.0,12.0,90.0,203.0,202.0,19.0,491.0,5.0,15.0,33.3,253.0,29.0,24.0,8.0,325.0,19.0,5.0,0.0,4.0,15.0,0.0,0.0,0.0,0.0,48.0,4.0,10.0,28.6
-Milan Škriniar,sk SVK,DF,Inter,26,1995,35.0,35.0,3150.0,3.0,0.0,0.0,0.0,3.0,0.0,0.09,0.0,0.09,0.09,0.09,3.3,3.3,0.09,0.09,35.0,7.0,0.0,28.0,0.2,0.12,0.43,0.13,-0.3,-0.3,1982.0,2134.0,92.9,36137.0,10294.0,791.0,843.0,93.8,967.0,1009.0,95.8,199.0,238.0,83.6,9.0,105.0,11.0,2.0,100.0,2051.0,82.0,49.0,3.0,17.0,3.0,0.0,0.0,0.0,0.0,30.0,1.0,6.0,38.0,1.09,29.0,0.0,1.0,5.0,3.0,2.0,0.06,2.0,0.0,0.0,0.0,0.0,0.0,47.0,27.0,26.0,17.0,4.0,24.0,42.0,57.1,18.0,36.0,25.0,11.0,25.0,90.0,1.0,2419.0,282.0,1164.0,1076.0,191.0,37.0,2419.0,12.0,13.0,92.3,1468.0,34.0,22.0,0.0,1792.0,16.0,7.0,0.0,43.0,23.0,2.0,0.0,1.0,0.0,160.0,51.0,52.0,49.5
-Chris Smalling,eng ENG,DF,Roma,31,1989,27.0,23.0,2091.0,3.0,0.0,0.0,0.0,0.0,0.0,0.13,0.0,0.13,0.13,0.13,2.5,2.5,0.11,0.11,23.2,3.0,0.0,30.0,0.13,0.3,1.0,0.25,0.5,0.5,932.0,1053.0,88.5,19200.0,6205.0,222.0,259.0,85.7,614.0,650.0,94.5,92.0,127.0,72.4,2.0,26.0,2.0,0.0,39.0,1020.0,31.0,25.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,5.0,8.0,0.34,6.0,0.0,0.0,2.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,36.0,23.0,28.0,8.0,0.0,18.0,25.0,72.0,7.0,32.0,24.0,8.0,26.0,92.0,1.0,1268.0,172.0,711.0,533.0,34.0,23.0,1268.0,3.0,4.0,75.0,672.0,4.0,3.0,0.0,790.0,6.0,1.0,0.0,9.0,17.0,0.0,0.0,0.0,1.0,106.0,49.0,13.0,79.0
-Brandon Soppy,fr FRA,"DF,MF",Udinese,19,2002,28.0,7.0,777.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.07,0.07,8.6,2.0,0.0,33.3,0.23,0.0,0.0,0.11,-0.6,-0.6,167.0,236.0,70.8,2349.0,827.0,103.0,120.0,85.8,50.0,66.0,75.8,6.0,14.0,42.9,6.0,9.0,7.0,1.0,17.0,205.0,30.0,5.0,0.0,1.0,13.0,1.0,0.0,0.0,0.0,24.0,1.0,18.0,15.0,1.74,7.0,0.0,1.0,1.0,5.0,2.0,0.23,0.0,0.0,0.0,1.0,1.0,0.0,20.0,9.0,8.0,10.0,2.0,11.0,16.0,68.8,5.0,10.0,2.0,8.0,5.0,9.0,1.0,356.0,18.0,87.0,146.0,131.0,22.0,356.0,18.0,38.0,47.4,205.0,25.0,20.0,9.0,203.0,16.0,8.0,0.0,23.0,33.0,0.0,0.0,0.0,0.0,47.0,6.0,13.0,31.6
-Roberto Soriano,it ITA,MF,Bologna,30,1991,35.0,32.0,2622.0,0.0,4.0,0.0,0.0,6.0,2.0,0.0,0.14,0.14,0.0,0.14,2.3,2.3,0.08,0.08,29.1,8.0,0.0,34.8,0.27,0.0,0.0,0.1,-2.3,-2.3,1019.0,1270.0,80.2,14115.0,4850.0,617.0,704.0,87.6,291.0,360.0,80.8,52.0,85.0,61.2,48.0,110.0,42.0,9.0,134.0,1245.0,18.0,9.0,12.0,6.0,34.0,0.0,0.0,0.0,0.0,9.0,7.0,27.0,102.0,3.5,90.0,1.0,0.0,4.0,4.0,10.0,0.34,10.0,0.0,0.0,0.0,0.0,0.0,57.0,30.0,27.0,22.0,8.0,17.0,56.0,30.4,39.0,37.0,3.0,34.0,22.0,32.0,0.0,1555.0,48.0,263.0,813.0,497.0,54.0,1555.0,21.0,37.0,56.8,901.0,48.0,53.0,8.0,1154.0,44.0,14.0,1.0,49.0,47.0,3.0,0.0,1.0,0.0,139.0,24.0,46.0,34.3
-Riccardo Sottil,it ITA,FW,Fiorentina,22,1999,24.0,14.0,1239.0,3.0,2.0,0.0,0.0,4.0,1.0,0.22,0.15,0.36,0.22,0.36,2.9,2.9,0.21,0.21,13.8,10.0,1.0,45.5,0.73,0.14,0.3,0.13,0.1,0.1,296.0,386.0,76.7,5041.0,737.0,147.0,169.0,87.0,119.0,152.0,78.3,26.0,38.0,68.4,14.0,9.0,19.0,6.0,39.0,380.0,5.0,1.0,0.0,3.0,47.0,0.0,0.0,0.0,0.0,3.0,1.0,15.0,34.0,2.47,22.0,0.0,4.0,3.0,4.0,4.0,0.29,3.0,0.0,0.0,0.0,0.0,1.0,9.0,4.0,4.0,4.0,1.0,3.0,9.0,33.3,6.0,3.0,0.0,3.0,1.0,2.0,0.0,519.0,3.0,34.0,195.0,302.0,47.0,519.0,26.0,52.0,50.0,397.0,81.0,44.0,22.0,446.0,26.0,15.0,1.0,15.0,40.0,7.0,0.0,0.0,0.0,32.0,7.0,13.0,35.0
-Matìas Soulé,ar ARG,FW,Juventus,18,2003,2.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,1.55,1.55,0.1,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,7.0,7.0,100.0,112.0,18.0,3.0,3.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,2.0,0.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,36.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,6.0,2.0,0.0,8.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
-Adama Soumaoro,fr FRA,DF,Bologna,29,1992,28.0,26.0,2266.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.04,0.04,25.2,2.0,0.0,25.0,0.08,0.0,0.0,0.13,-1.0,-1.0,930.0,1043.0,89.2,15111.0,5118.0,438.0,472.0,92.8,418.0,464.0,90.1,49.0,63.0,77.8,1.0,43.0,2.0,0.0,61.0,989.0,53.0,41.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,12.0,1.0,11.0,12.0,0.48,11.0,0.0,0.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,0.0,15.0,5.0,5.0,8.0,2.0,4.0,9.0,44.4,5.0,22.0,16.0,6.0,34.0,95.0,0.0,1253.0,136.0,563.0,616.0,80.0,17.0,1253.0,8.0,10.0,80.0,628.0,16.0,20.0,1.0,766.0,13.0,5.0,0.0,24.0,16.0,1.0,0.0,1.0,1.0,108.0,45.0,16.0,73.8
-Leonardo Spinazzola,it ITA,DF,Roma,28,1993,3.0,2.0,127.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,63.0,74.0,85.1,1141.0,299.0,27.0,29.0,93.1,28.0,31.0,90.3,7.0,10.0,70.0,1.0,7.0,3.0,2.0,4.0,58.0,15.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,15.0,1.0,2.0,5.0,3.54,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,4.0,1.0,3.0,0.0,3.0,0.0,91.0,5.0,26.0,36.0,29.0,2.0,91.0,3.0,8.0,37.5,53.0,4.0,0.0,2.0,57.0,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0
-Marco Sportiello,it ITA,GK,Atalanta,29,1992,5.0,5.0,450.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,104.0,135.0,77.0,2540.0,1626.0,18.0,18.0,100.0,59.0,60.0,98.3,26.0,55.0,47.3,0.0,0.0,0.0,0.0,0.0,97.0,38.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,145.0,123.0,143.0,2.0,0.0,0.0,145.0,0.0,0.0,0.0,87.0,0.0,0.0,0.0,56.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
-Luca Stanga,it ITA,DF,Milan,19,2002,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,38.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Riccardo Stivanello,it ITA,DF,Bologna,17,2004,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,164.0,130.0,3.0,3.0,100.0,5.0,6.0,83.3,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,2.0,2.0,0.0,0.0,6.0,0.0,22.0,9.0,20.0,3.0,0.0,0.0,22.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
-Petar Stojanović,si SVN,DF,Empoli,25,1995,33.0,32.0,2735.0,1.0,1.0,0.0,0.0,11.0,1.0,0.03,0.03,0.07,0.03,0.07,0.7,0.7,0.02,0.02,30.4,4.0,0.0,36.4,0.13,0.09,0.25,0.06,0.3,0.3,1337.0,1721.0,77.7,22139.0,9227.0,669.0,746.0,89.7,527.0,661.0,79.7,110.0,200.0,55.0,35.0,106.0,62.0,14.0,174.0,1370.0,346.0,41.0,4.0,7.0,68.0,3.0,0.0,0.0,0.0,302.0,5.0,41.0,79.0,2.6,66.0,4.0,6.0,1.0,2.0,4.0,0.13,3.0,0.0,1.0,0.0,0.0,0.0,96.0,63.0,55.0,32.0,9.0,59.0,114.0,51.8,55.0,39.0,13.0,26.0,27.0,65.0,1.0,2084.0,114.0,596.0,933.0,583.0,45.0,2084.0,52.0,93.0,55.9,1112.0,94.0,72.0,23.0,1139.0,56.0,35.0,1.0,45.0,22.0,2.0,0.0,2.0,0.0,203.0,14.0,19.0,42.4
-Thomas Strakosha,al ALB,GK,Lazio,26,1995,23.0,23.0,2070.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,614.0,737.0,83.3,14988.0,10519.0,178.0,181.0,98.3,221.0,233.0,94.8,200.0,307.0,65.1,1.0,5.0,1.0,0.0,1.0,583.0,154.0,35.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.13,2.0,1.0,0.0,0.0,0.0,1.0,0.04,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,779.0,690.0,776.0,3.0,0.0,0.0,779.0,0.0,0.0,0.0,469.0,0.0,0.0,0.0,434.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,27.0,6.0,0.0,100.0
-Stefan Strandberg,no NOR,DF,Salernitana,31,1990,11.0,11.0,933.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.09,0.09,10.4,2.0,1.0,22.2,0.19,0.0,0.0,0.1,-0.9,-0.9,432.0,530.0,81.5,9166.0,4592.0,137.0,157.0,87.3,215.0,252.0,85.3,76.0,109.0,69.7,2.0,38.0,3.0,1.0,53.0,478.0,52.0,48.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,11.0,1.06,8.0,2.0,0.0,1.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,13.0,8.0,10.0,3.0,0.0,8.0,11.0,72.7,3.0,15.0,13.0,2.0,9.0,49.0,0.0,629.0,86.0,315.0,280.0,41.0,12.0,629.0,2.0,2.0,100.0,341.0,8.0,4.0,0.0,362.0,3.0,1.0,1.0,8.0,2.0,1.0,0.0,1.0,1.0,57.0,30.0,14.0,68.2
-Dávid Strelec,sk SVK,"FW,MF",Spezia,20,2001,10.0,7.0,502.0,1.0,0.0,0.0,0.0,0.0,0.0,0.18,0.0,0.18,0.18,0.18,0.5,0.5,0.09,0.09,5.6,3.0,0.0,75.0,0.54,0.25,0.33,0.12,0.5,0.5,99.0,141.0,70.2,1411.0,349.0,59.0,78.0,75.6,27.0,33.0,81.8,8.0,11.0,72.7,7.0,7.0,6.0,1.0,15.0,140.0,1.0,0.0,1.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,14.0,2.5,13.0,0.0,1.0,0.0,0.0,1.0,0.18,1.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,1.0,2.0,1.0,2.0,9.0,22.2,7.0,8.0,1.0,7.0,2.0,1.0,0.0,197.0,5.0,39.0,83.0,81.0,20.0,197.0,4.0,10.0,40.0,97.0,13.0,8.0,3.0,120.0,15.0,3.0,0.0,4.0,6.0,2.0,0.0,0.0,0.0,31.0,11.0,14.0,44.0
-Kevin Strootman,nl NED,MF,Cagliari,31,1990,10.0,7.0,640.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.1,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,297.0,368.0,80.7,5406.0,1706.0,131.0,154.0,85.1,127.0,141.0,90.1,36.0,59.0,61.0,3.0,36.0,1.0,1.0,38.0,348.0,19.0,17.0,1.0,2.0,2.0,1.0,0.0,1.0,0.0,1.0,1.0,6.0,6.0,0.84,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,2.0,4.0,2.0,5.0,12.0,41.7,7.0,11.0,2.0,9.0,10.0,15.0,0.0,428.0,25.0,121.0,265.0,47.0,3.0,428.0,4.0,5.0,80.0,228.0,6.0,5.0,0.0,276.0,6.0,2.0,0.0,10.0,10.0,0.0,0.0,1.0,0.0,42.0,5.0,6.0,45.5
-Jens Stryger Larsen,dk DEN,DF,Udinese,30,1991,11.0,8.0,684.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.13,0.13,0.0,0.13,0.7,0.7,0.09,0.09,7.6,4.0,0.0,44.4,0.53,0.0,0.0,0.07,-0.7,-0.7,206.0,277.0,74.4,3033.0,1281.0,125.0,137.0,91.2,61.0,88.0,69.3,13.0,38.0,34.2,10.0,12.0,5.0,2.0,16.0,205.0,69.0,4.0,1.0,0.0,20.0,8.0,7.0,1.0,0.0,57.0,3.0,2.0,16.0,2.11,11.0,3.0,1.0,1.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,1.0,1.0,2.0,3.0,66.7,1.0,2.0,0.0,2.0,4.0,17.0,0.0,339.0,19.0,106.0,126.0,107.0,10.0,339.0,4.0,11.0,36.4,150.0,8.0,9.0,0.0,193.0,7.0,6.0,0.0,3.0,3.0,1.0,0.0,0.0,1.0,22.0,4.0,6.0,40.0
-Leo Štulac,si SVN,MF,Empoli,26,1994,23.0,8.0,833.0,2.0,2.0,0.0,0.0,1.0,0.0,0.22,0.22,0.43,0.22,0.43,0.3,0.3,0.03,0.03,9.3,3.0,2.0,33.3,0.32,0.22,0.67,0.03,1.7,1.7,379.0,483.0,78.5,6640.0,2384.0,156.0,167.0,93.4,172.0,202.0,85.1,34.0,76.0,44.7,10.0,36.0,5.0,0.0,43.0,427.0,48.0,28.0,2.0,1.0,25.0,20.0,5.0,11.0,0.0,0.0,8.0,6.0,21.0,2.28,15.0,5.0,0.0,0.0,0.0,4.0,0.43,4.0,0.0,0.0,0.0,0.0,0.0,13.0,6.0,5.0,6.0,2.0,7.0,19.0,36.8,12.0,6.0,2.0,4.0,8.0,15.0,0.0,554.0,33.0,165.0,301.0,93.0,0.0,554.0,3.0,4.0,75.0,298.0,5.0,4.0,0.0,381.0,7.0,4.0,0.0,7.0,16.0,0.0,0.0,0.0,0.0,49.0,5.0,6.0,45.5
-Stefano Sturaro,it ITA,MF,Genoa,28,1993,25.0,24.0,1766.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.03,0.03,19.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.6,-0.6,376.0,607.0,61.9,5722.0,2240.0,207.0,272.0,76.1,121.0,188.0,64.4,32.0,70.0,45.7,8.0,31.0,17.0,5.0,62.0,582.0,21.0,7.0,0.0,2.0,37.0,6.0,1.0,5.0,0.0,8.0,4.0,27.0,30.0,1.53,20.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,26.0,16.0,16.0,11.0,22.0,48.0,45.8,26.0,25.0,1.0,24.0,15.0,29.0,2.0,818.0,45.0,180.0,407.0,238.0,24.0,818.0,5.0,13.0,38.5,335.0,10.0,11.0,3.0,416.0,30.0,25.0,0.0,53.0,37.0,4.0,0.0,0.0,0.0,96.0,50.0,50.0,50.0
-Isaac Success,ng NGA,"FW,MF",Udinese,25,1996,22.0,11.0,911.0,2.0,6.0,0.0,0.0,1.0,1.0,0.2,0.59,0.79,0.2,0.79,2.4,2.4,0.24,0.24,10.1,12.0,0.0,48.0,1.19,0.08,0.17,0.1,-0.4,-0.4,173.0,277.0,62.5,2668.0,709.0,102.0,143.0,71.3,50.0,77.0,64.9,15.0,28.0,53.6,16.0,14.0,6.0,0.0,22.0,270.0,1.0,0.0,8.0,2.0,6.0,0.0,0.0,0.0,0.0,1.0,6.0,12.0,42.0,4.15,28.0,0.0,6.0,3.0,4.0,8.0,0.79,8.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,3.0,2.0,1.0,5.0,20.0,4.0,2.0,0.0,2.0,2.0,6.0,0.0,399.0,8.0,24.0,156.0,225.0,53.0,399.0,19.0,29.0,65.5,282.0,16.0,12.0,7.0,355.0,37.0,27.0,0.0,24.0,39.0,5.0,0.0,1.0,0.0,26.0,16.0,36.0,30.8
-Vladyslav Supriaha,ua UKR,FW,Sampdoria,21,2000,1.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,75.0,22.0,3.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,3.0,3.0,0.0,6.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0,6.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Bosko Sutalo,hr CRO,DF,Hellas Verona,21,2000,24.0,6.0,920.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,10.2,1.0,0.0,20.0,0.1,0.0,0.0,0.04,-0.2,-0.2,369.0,482.0,76.6,6066.0,1954.0,189.0,224.0,84.4,124.0,151.0,82.1,40.0,70.0,57.1,1.0,21.0,3.0,1.0,33.0,441.0,41.0,12.0,0.0,4.0,10.0,0.0,0.0,0.0,0.0,29.0,0.0,10.0,6.0,0.59,6.0,0.0,0.0,0.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,20.0,13.0,11.0,6.0,3.0,8.0,16.0,50.0,8.0,10.0,5.0,5.0,17.0,39.0,0.0,622.0,58.0,259.0,276.0,93.0,8.0,622.0,10.0,19.0,52.6,298.0,15.0,10.0,1.0,314.0,18.0,6.0,0.0,12.0,9.0,1.0,0.0,0.0,0.0,81.0,20.0,26.0,43.5
-Mattias Svanberg,se SWE,MF,Bologna,22,1999,36.0,31.0,2564.0,3.0,3.0,0.0,0.0,7.0,0.0,0.11,0.11,0.21,0.11,0.21,2.7,2.7,0.09,0.09,28.5,13.0,2.0,33.3,0.46,0.08,0.23,0.07,0.3,0.3,766.0,1037.0,73.9,12390.0,4015.0,407.0,474.0,85.9,244.0,325.0,75.1,75.0,155.0,48.4,35.0,85.0,30.0,6.0,103.0,976.0,58.0,21.0,6.0,11.0,50.0,29.0,8.0,7.0,1.0,4.0,3.0,27.0,62.0,2.18,45.0,10.0,3.0,1.0,2.0,6.0,0.21,5.0,1.0,0.0,0.0,0.0,0.0,39.0,15.0,15.0,16.0,8.0,16.0,54.0,29.6,38.0,31.0,9.0,22.0,28.0,34.0,0.0,1327.0,45.0,269.0,700.0,372.0,30.0,1327.0,28.0,53.0,52.8,712.0,39.0,40.0,3.0,908.0,37.0,22.0,0.0,37.0,63.0,0.0,0.0,0.0,0.0,132.0,22.0,33.0,40.0
-Michael Svoboda,at AUT,DF,Venezia,22,1998,18.0,13.0,1236.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.08,0.08,13.7,0.0,0.0,0.0,0.0,0.0,0.0,0.16,-1.1,-1.1,508.0,623.0,81.5,10228.0,3799.0,184.0,202.0,91.1,240.0,268.0,89.6,77.0,127.0,60.6,0.0,26.0,1.0,0.0,42.0,597.0,26.0,25.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,12.0,6.0,0.44,5.0,0.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,33.0,17.0,26.0,6.0,1.0,18.0,32.0,56.3,14.0,27.0,15.0,12.0,10.0,61.0,5.0,771.0,125.0,420.0,334.0,29.0,13.0,771.0,2.0,3.0,66.7,437.0,11.0,8.0,0.0,441.0,6.0,6.0,0.0,9.0,4.0,0.0,0.0,2.0,0.0,98.0,26.0,27.0,49.1
-Wojciech Szczęsny,pl POL,GK,Juventus,31,1990,33.0,33.0,2970.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,830.0,1011.0,82.1,22169.0,14526.0,131.0,131.0,100.0,434.0,438.0,99.1,263.0,433.0,60.7,3.0,9.0,0.0,0.0,0.0,781.0,227.0,55.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,7.0,0.21,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,1063.0,903.0,1053.0,10.0,0.0,0.0,1063.0,0.0,0.0,0.0,657.0,0.0,0.0,0.0,562.0,0.0,0.0,0.0,2.0,4.0,0.0,0.0,2.0,0.0,29.0,9.0,0.0,100.0
-Adrien Tameze,cm CMR,"MF,DF",Hellas Verona,27,1994,38.0,26.0,2574.0,4.0,2.0,0.0,0.0,4.0,0.0,0.14,0.07,0.21,0.14,0.21,1.5,1.5,0.05,0.05,28.6,7.0,0.0,30.4,0.24,0.17,0.57,0.06,2.5,2.5,1028.0,1295.0,79.4,16802.0,5580.0,514.0,602.0,85.4,390.0,465.0,83.9,86.0,137.0,62.8,28.0,108.0,22.0,6.0,134.0,1217.0,74.0,33.0,3.0,10.0,31.0,0.0,0.0,0.0,0.0,41.0,4.0,20.0,63.0,2.2,52.0,1.0,5.0,1.0,1.0,6.0,0.21,5.0,0.0,1.0,0.0,0.0,0.0,52.0,29.0,24.0,21.0,7.0,20.0,59.0,33.9,39.0,40.0,5.0,35.0,52.0,41.0,0.0,1634.0,79.0,384.0,909.0,364.0,42.0,1634.0,34.0,60.0,56.7,868.0,55.0,33.0,10.0,930.0,51.0,26.0,0.0,33.0,34.0,2.0,0.0,0.0,0.0,233.0,61.0,55.0,52.6
-Ciprian Tătărușanu,ro ROU,GK,Milan,35,1986,6.0,6.0,540.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,160.0,204.0,78.4,4563.0,3430.0,29.0,30.0,96.7,74.0,74.0,100.0,57.0,100.0,57.0,0.0,0.0,0.0,0.0,0.0,160.0,44.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,217.0,176.0,215.0,2.0,0.0,0.0,217.0,0.0,0.0,0.0,125.0,0.0,0.0,0.0,119.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
-Filippo Terracciano,it ITA,DF,Hellas Verona,18,2003,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,33.0,15.0,3.0,3.0,100.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,0.0,2.0,2.0,3.0,1.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
-Pietro Terracciano,it ITA,GK,Fiorentina,31,1990,32.0,31.0,2862.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1217.0,1531.0,79.5,33515.0,20979.0,204.0,207.0,98.6,557.0,565.0,98.6,454.0,750.0,60.5,1.0,23.0,1.0,0.0,1.0,1250.0,276.0,106.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,0.09,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,0.0,0.0,0.0,2.0,20.0,1.0,1596.0,1283.0,1586.0,11.0,0.0,0.0,1596.0,1.0,2.0,50.0,1022.0,0.0,0.0,0.0,1032.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,44.0,13.0,2.0,86.7
-Aleksa Terzić,rs SRB,DF,Fiorentina,21,1999,14.0,1.0,274.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.33,0.33,0.0,0.33,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,196.0,238.0,82.4,3273.0,1059.0,98.0,107.0,91.6,74.0,86.0,86.0,20.0,33.0,60.6,5.0,5.0,8.0,6.0,13.0,196.0,41.0,7.0,0.0,0.0,20.0,11.0,1.0,5.0,0.0,23.0,1.0,4.0,8.0,2.65,6.0,2.0,0.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,3.0,3.0,2.0,4.0,7.0,57.1,3.0,7.0,0.0,7.0,4.0,5.0,0.0,279.0,10.0,109.0,108.0,64.0,3.0,279.0,1.0,2.0,50.0,152.0,10.0,6.0,0.0,167.0,8.0,3.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,25.0,9.0,3.0,75.0
-Tanner Tessmann,us USA,MF,Venezia,19,2001,20.0,6.0,680.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.09,0.09,7.6,3.0,0.0,37.5,0.4,0.0,0.0,0.09,-0.7,-0.7,164.0,227.0,72.2,3178.0,1095.0,70.0,83.0,84.3,65.0,77.0,84.4,25.0,47.0,53.2,4.0,19.0,1.0,0.0,23.0,219.0,6.0,5.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,11.0,1.46,7.0,0.0,3.0,0.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,4.0,6.0,1.0,5.0,14.0,35.7,9.0,19.0,9.0,10.0,5.0,22.0,0.0,320.0,45.0,126.0,152.0,51.0,8.0,320.0,11.0,12.0,91.7,173.0,12.0,10.0,2.0,176.0,13.0,7.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,51.0,8.0,17.0,32.0
-Arthur Theate,be BEL,DF,Bologna,21,2000,31.0,28.0,2424.0,2.0,1.0,0.0,0.0,6.0,0.0,0.07,0.04,0.11,0.07,0.11,1.9,1.9,0.07,0.07,26.9,6.0,0.0,28.6,0.22,0.1,0.33,0.09,0.1,0.1,1231.0,1487.0,82.8,22337.0,8079.0,510.0,565.0,90.3,585.0,665.0,88.0,121.0,213.0,56.8,6.0,108.0,9.0,3.0,107.0,1417.0,69.0,45.0,2.0,13.0,18.0,0.0,0.0,0.0,0.0,23.0,1.0,16.0,24.0,0.89,23.0,0.0,0.0,1.0,0.0,4.0,0.15,4.0,0.0,0.0,0.0,0.0,0.0,33.0,19.0,26.0,3.0,4.0,14.0,31.0,45.2,17.0,29.0,16.0,13.0,43.0,69.0,0.0,1723.0,144.0,776.0,839.0,135.0,21.0,1723.0,19.0,29.0,65.5,1046.0,37.0,38.0,1.0,1160.0,22.0,10.0,0.0,26.0,10.0,1.0,0.0,1.0,0.0,181.0,39.0,39.0,50.0
-Morten Thorsby,no NOR,MF,Sampdoria,25,1996,35.0,35.0,2943.0,3.0,1.0,0.0,0.0,10.0,0.0,0.09,0.03,0.12,0.09,0.12,3.6,3.6,0.11,0.11,32.7,7.0,0.0,26.9,0.21,0.12,0.43,0.14,-0.6,-0.6,705.0,992.0,71.1,9172.0,2953.0,435.0,557.0,78.1,200.0,284.0,70.4,17.0,39.0,43.6,15.0,70.0,9.0,0.0,88.0,976.0,15.0,12.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,21.0,42.0,1.28,37.0,0.0,1.0,2.0,2.0,2.0,0.06,2.0,0.0,0.0,0.0,0.0,0.0,46.0,26.0,15.0,23.0,8.0,28.0,56.0,50.0,28.0,37.0,12.0,25.0,25.0,39.0,0.0,1343.0,74.0,286.0,762.0,305.0,68.0,1343.0,13.0,25.0,52.0,572.0,18.0,13.0,1.0,806.0,64.0,22.0,0.0,81.0,37.0,0.0,0.0,0.0,0.0,151.0,166.0,135.0,55.1
-Jeremy Toljan,de GER,DF,Sassuolo,26,1994,20.0,15.0,1399.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.1,0.1,0.01,0.01,15.5,1.0,0.0,33.3,0.06,0.0,0.0,0.04,-0.1,-0.1,741.0,845.0,87.7,11260.0,3376.0,406.0,435.0,93.3,266.0,296.0,89.9,47.0,72.0,65.3,12.0,31.0,13.0,3.0,53.0,689.0,153.0,18.0,0.0,5.0,22.0,0.0,0.0,0.0,0.0,135.0,3.0,11.0,35.0,2.25,33.0,1.0,0.0,0.0,1.0,5.0,0.32,4.0,1.0,0.0,0.0,0.0,0.0,18.0,10.0,12.0,4.0,2.0,13.0,20.0,65.0,7.0,12.0,5.0,7.0,12.0,41.0,0.0,975.0,55.0,342.0,429.0,209.0,21.0,975.0,4.0,13.0,30.8,506.0,36.0,19.0,3.0,597.0,18.0,6.0,0.0,8.0,7.0,0.0,0.0,1.0,0.0,75.0,9.0,13.0,40.9
-Rafael Tolói,it ITA,DF,Atalanta,30,1990,20.0,16.0,1438.0,1.0,1.0,0.0,0.0,6.0,0.0,0.06,0.06,0.13,0.06,0.13,1.3,1.3,0.08,0.08,16.0,2.0,0.0,16.7,0.13,0.08,0.5,0.11,-0.3,-0.3,772.0,944.0,81.8,14041.0,5497.0,324.0,357.0,90.8,358.0,404.0,88.6,76.0,137.0,55.5,8.0,86.0,10.0,2.0,90.0,896.0,45.0,23.0,3.0,10.0,10.0,0.0,0.0,0.0,0.0,22.0,3.0,19.0,26.0,1.63,23.0,0.0,1.0,2.0,0.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,0.0,38.0,15.0,12.0,15.0,11.0,24.0,39.0,61.5,15.0,23.0,11.0,12.0,26.0,35.0,0.0,1111.0,76.0,393.0,581.0,144.0,18.0,1111.0,7.0,14.0,50.0,648.0,12.0,22.0,0.0,698.0,12.0,5.0,0.0,27.0,10.0,0.0,0.0,1.0,0.0,122.0,38.0,11.0,77.6
-Takehiro Tomiyasu,jp JPN,DF,Bologna,22,1998,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,100.0,71.0,55.0,1.0,1.0,100.0,0.0,0.0,0.0,2.0,2.0,100.0,1.0,0.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,5.0,0.0,2.0,1.0,2.0,0.0,5.0,1.0,1.0,100.0,3.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Fikayo Tomori,eng ENG,DF,Milan,23,1997,31.0,30.0,2718.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,1.5,0.05,0.05,30.2,3.0,0.0,25.0,0.1,0.0,0.0,0.13,-1.5,-1.5,1524.0,1742.0,87.5,30255.0,10510.0,454.0,493.0,92.1,878.0,943.0,93.1,176.0,263.0,66.9,4.0,69.0,1.0,0.0,82.0,1638.0,97.0,54.0,1.0,10.0,3.0,0.0,0.0,0.0,0.0,6.0,7.0,10.0,19.0,0.63,19.0,0.0,0.0,0.0,0.0,3.0,0.1,3.0,0.0,0.0,0.0,0.0,0.0,73.0,44.0,36.0,34.0,3.0,18.0,26.0,69.2,8.0,37.0,23.0,14.0,45.0,84.0,1.0,2037.0,212.0,1018.0,970.0,61.0,16.0,2037.0,8.0,12.0,66.7,1111.0,14.0,8.0,1.0,1316.0,16.0,0.0,0.0,19.0,11.0,0.0,0.0,0.0,0.0,183.0,51.0,48.0,51.5
-Sandro Tonali,it ITA,MF,Milan,21,2000,36.0,31.0,2600.0,5.0,2.0,0.0,0.0,9.0,0.0,0.17,0.07,0.24,0.17,0.24,4.3,4.3,0.15,0.15,28.9,11.0,4.0,29.7,0.38,0.14,0.45,0.12,0.7,0.7,1213.0,1486.0,81.6,22991.0,6897.0,499.0,548.0,91.1,494.0,567.0,87.1,183.0,305.0,60.0,44.0,124.0,25.0,7.0,141.0,1299.0,187.0,106.0,4.0,19.0,108.0,69.0,29.0,25.0,0.0,11.0,0.0,21.0,82.0,2.84,49.0,22.0,2.0,6.0,3.0,5.0,0.17,4.0,1.0,0.0,0.0,0.0,0.0,54.0,37.0,23.0,25.0,6.0,21.0,41.0,51.2,20.0,26.0,8.0,18.0,34.0,19.0,0.0,1755.0,55.0,361.0,1007.0,411.0,27.0,1755.0,30.0,45.0,66.7,939.0,51.0,43.0,5.0,1103.0,33.0,23.0,0.0,45.0,50.0,3.0,0.0,0.0,0.0,189.0,10.0,14.0,41.7
-Lorenzo Tonelli,it ITA,DF,Empoli,31,1990,14.0,8.0,870.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,9.7,3.0,0.0,42.9,0.31,0.0,0.0,0.08,-0.6,-0.6,463.0,560.0,82.7,9035.0,4197.0,161.0,179.0,89.9,237.0,263.0,90.1,58.0,99.0,58.6,6.0,40.0,5.0,1.0,43.0,504.0,55.0,44.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,7.0,14.0,1.45,11.0,0.0,0.0,1.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,0.0,17.0,9.0,11.0,4.0,2.0,6.0,13.0,46.2,7.0,14.0,8.0,6.0,19.0,28.0,2.0,662.0,87.0,305.0,333.0,28.0,11.0,662.0,4.0,5.0,80.0,352.0,7.0,1.0,0.0,392.0,7.0,3.0,0.0,9.0,24.0,1.0,0.0,0.0,1.0,54.0,28.0,19.0,59.6
-Ernesto Torregrossa,ve VEN,FW,Sampdoria,29,1992,10.0,0.0,116.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,42.0,71.4,528.0,108.0,16.0,21.0,76.2,9.0,11.0,81.8,5.0,6.0,83.3,2.0,3.0,1.0,0.0,4.0,39.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,6.0,4.7,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,1.0,2.0,50.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,58.0,1.0,3.0,24.0,31.0,6.0,58.0,0.0,4.0,0.0,32.0,2.0,3.0,1.0,50.0,6.0,1.0,0.0,7.0,7.0,5.0,0.0,0.0,0.0,3.0,3.0,3.0,50.0
-Lucas Torreira,uy URU,MF,Fiorentina,25,1996,31.0,26.0,2195.0,5.0,1.0,0.0,0.0,10.0,1.0,0.21,0.04,0.25,0.21,0.25,5.3,5.1,0.22,0.21,24.4,13.0,2.0,44.8,0.53,0.17,0.38,0.2,-0.3,-0.1,1193.0,1368.0,87.2,22757.0,5765.0,432.0,481.0,89.8,590.0,646.0,91.3,149.0,194.0,76.8,23.0,112.0,24.0,0.0,125.0,1275.0,90.0,86.0,5.0,6.0,6.0,0.0,0.0,0.0,0.0,2.0,3.0,12.0,60.0,2.46,51.0,1.0,0.0,2.0,4.0,6.0,0.25,3.0,0.0,0.0,1.0,1.0,1.0,37.0,29.0,13.0,21.0,3.0,18.0,40.0,45.0,22.0,18.0,1.0,17.0,26.0,18.0,0.0,1549.0,37.0,318.0,975.0,261.0,35.0,1549.0,6.0,13.0,46.2,832.0,10.0,11.0,3.0,1051.0,24.0,8.0,1.0,38.0,44.0,2.0,1.0,0.0,0.0,153.0,18.0,26.0,40.9
-Abdoulaye Touré,fr FRA,MF,Genoa,27,1994,8.0,6.0,430.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.04,0.04,4.8,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.2,-0.2,130.0,172.0,75.6,1934.0,383.0,66.0,85.0,77.6,50.0,64.0,78.1,7.0,10.0,70.0,1.0,12.0,0.0,0.0,17.0,170.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,4.0,0.84,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,4.0,3.0,8.0,1.0,5.0,11.0,45.5,6.0,6.0,1.0,5.0,4.0,6.0,0.0,224.0,8.0,51.0,139.0,37.0,5.0,224.0,6.0,9.0,66.7,120.0,2.0,1.0,1.0,128.0,4.0,4.0,0.0,3.0,9.0,0.0,0.0,0.0,0.0,27.0,5.0,4.0,55.6
-Simone Trimboli,it ITA,MF,Sampdoria,19,2002,5.0,0.0,65.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,49.0,89.8,643.0,210.0,30.0,33.0,90.9,12.0,12.0,100.0,2.0,2.0,100.0,3.0,4.0,2.0,0.0,6.0,49.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.77,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,57.0,0.0,14.0,33.0,11.0,2.0,57.0,0.0,0.0,0.0,34.0,2.0,0.0,0.0,42.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,5.0,1.0,1.0,50.0
-Axel Tuanzebe,eng ENG,DF,Napoli,23,1997,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,68.0,45.0,1.0,1.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,3.0,2.0,0.0,0.0,5.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
-Iyenoma Udogie,it ITA,DF,Udinese,18,2002,35.0,29.0,2477.0,5.0,3.0,0.0,0.0,4.0,0.0,0.18,0.11,0.29,0.18,0.29,4.3,4.3,0.16,0.16,27.5,12.0,0.0,44.4,0.44,0.19,0.42,0.16,0.7,0.7,701.0,888.0,78.9,9566.0,3597.0,434.0,497.0,87.3,221.0,265.0,83.4,16.0,34.0,47.1,28.0,49.0,21.0,3.0,89.0,768.0,118.0,14.0,0.0,0.0,17.0,2.0,0.0,0.0,0.0,102.0,2.0,33.0,75.0,2.72,54.0,2.0,6.0,6.0,4.0,8.0,0.29,5.0,0.0,1.0,1.0,1.0,0.0,64.0,40.0,30.0,27.0,7.0,33.0,60.0,55.0,27.0,39.0,6.0,33.0,27.0,42.0,0.0,1233.0,58.0,301.0,585.0,377.0,62.0,1233.0,38.0,67.0,56.7,631.0,56.0,37.0,20.0,655.0,50.0,35.0,0.0,36.0,34.0,4.0,0.0,0.0,0.0,156.0,27.0,28.0,49.1
-Maximilian Ullmann,at AUT,DF,Venezia,25,1996,5.0,2.0,246.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,68.0,64.7,762.0,381.0,23.0,28.0,82.1,15.0,19.0,78.9,5.0,16.0,31.3,0.0,4.0,2.0,1.0,6.0,60.0,8.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,4.0,0.0,4.0,2.0,7.0,0.0,85.0,8.0,28.0,44.0,13.0,1.0,85.0,1.0,1.0,100.0,34.0,0.0,2.0,0.0,41.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,10.0,1.0,5.0,16.7
-Kacper Urbanski,pl POL,MF,Bologna,16,2004,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,21.0,71.4,213.0,58.0,8.0,11.0,72.7,5.0,7.0,71.4,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,21.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,2.0,100.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,30.0,2.0,11.0,17.0,2.0,0.0,30.0,0.0,2.0,0.0,13.0,0.0,0.0,0.0,12.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
-Antonio Vacca,it ITA,MF,Venezia,31,1990,21.0,15.0,1064.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.8,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,600.0,703.0,85.3,11682.0,3825.0,202.0,225.0,89.8,304.0,329.0,92.4,77.0,111.0,69.4,5.0,52.0,7.0,0.0,56.0,641.0,59.0,50.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,11.0,14.0,1.19,11.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,20.0,24.0,10.0,2.0,14.0,36.0,38.9,22.0,16.0,8.0,8.0,20.0,16.0,0.0,817.0,71.0,360.0,419.0,52.0,1.0,817.0,15.0,21.0,71.4,455.0,9.0,7.0,2.0,495.0,6.0,9.0,0.0,21.0,9.0,0.0,0.0,0.0,0.0,111.0,4.0,11.0,26.7
-Zinho Vanheusden,be BEL,DF,Genoa,22,1999,14.0,11.0,989.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,11.0,2.0,0.0,33.3,0.18,0.0,0.0,0.04,-0.3,-0.3,333.0,421.0,79.1,6281.0,2252.0,119.0,133.0,89.5,173.0,204.0,84.8,35.0,65.0,53.8,1.0,18.0,0.0,0.0,26.0,396.0,24.0,21.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,3.0,1.0,4.0,7.0,0.64,7.0,0.0,0.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,0.0,18.0,6.0,12.0,5.0,1.0,8.0,14.0,57.1,6.0,19.0,14.0,5.0,23.0,42.0,0.0,546.0,85.0,325.0,183.0,41.0,11.0,546.0,1.0,4.0,25.0,272.0,11.0,9.0,0.0,303.0,4.0,1.0,0.0,10.0,10.0,0.0,0.0,1.0,1.0,47.0,23.0,17.0,57.5
-Johan Vásquez,mx MEX,DF,Genoa,22,1998,28.0,27.0,2279.0,1.0,0.0,0.0,0.0,7.0,0.0,0.04,0.0,0.04,0.04,0.04,1.1,1.1,0.04,0.04,25.3,3.0,0.0,21.4,0.12,0.07,0.33,0.08,-0.1,-0.1,829.0,1178.0,70.4,14740.0,6041.0,341.0,410.0,83.2,390.0,519.0,75.1,76.0,173.0,43.9,4.0,55.0,4.0,1.0,62.0,1015.0,157.0,50.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,100.0,6.0,28.0,16.0,0.63,9.0,3.0,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,79.0,46.0,44.0,32.0,3.0,48.0,75.0,64.0,27.0,32.0,10.0,22.0,42.0,85.0,0.0,1494.0,149.0,688.0,688.0,130.0,30.0,1494.0,2.0,9.0,22.2,675.0,12.0,13.0,3.0,725.0,17.0,12.0,0.0,31.0,26.0,1.0,0.0,0.0,0.0,166.0,59.0,61.0,49.2
-Denis Vavro,sk SVK,DF,Lazio,25,1996,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,100.0,64.0,30.0,4.0,4.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,2.0,4.0,0.0,0.0,6.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Matías Vecino,uy URU,MF,Inter,29,1991,17.0,2.0,377.0,1.0,0.0,0.0,0.0,2.0,0.0,0.24,0.0,0.24,0.24,0.24,1.5,1.5,0.36,0.36,4.2,2.0,0.0,28.6,0.48,0.14,0.5,0.21,-0.5,-0.5,152.0,206.0,73.8,2434.0,824.0,66.0,81.0,81.5,68.0,84.0,81.0,9.0,19.0,47.4,5.0,24.0,8.0,1.0,29.0,198.0,6.0,4.0,4.0,2.0,5.0,0.0,0.0,0.0,0.0,2.0,2.0,5.0,15.0,3.61,14.0,0.0,0.0,1.0,0.0,4.0,0.96,4.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,2.0,3.0,2.0,3.0,9.0,33.3,6.0,10.0,1.0,9.0,4.0,7.0,0.0,249.0,10.0,54.0,133.0,66.0,15.0,249.0,1.0,3.0,33.3,131.0,10.0,10.0,0.0,161.0,1.0,5.0,0.0,9.0,3.0,0.0,0.0,0.0,0.0,20.0,17.0,12.0,58.6
-Miguel Veloso,pt POR,MF,Hellas Verona,35,1986,22.0,17.0,1343.0,0.0,3.0,0.0,0.0,7.0,1.0,0.0,0.2,0.2,0.0,0.2,0.7,0.7,0.05,0.05,14.9,4.0,6.0,23.5,0.27,0.0,0.0,0.04,-0.7,-0.7,725.0,922.0,78.6,13530.0,4348.0,282.0,324.0,87.0,337.0,395.0,85.3,88.0,153.0,57.5,25.0,92.0,19.0,5.0,103.0,800.0,118.0,58.0,3.0,6.0,74.0,50.0,24.0,13.0,0.0,10.0,4.0,12.0,51.0,3.42,34.0,16.0,1.0,0.0,0.0,7.0,0.47,6.0,1.0,0.0,0.0,0.0,0.0,23.0,15.0,4.0,17.0,2.0,10.0,16.0,62.5,6.0,18.0,5.0,13.0,11.0,18.0,1.0,1042.0,23.0,177.0,638.0,238.0,8.0,1042.0,6.0,6.0,100.0,496.0,31.0,15.0,1.0,578.0,12.0,7.0,1.0,18.0,6.0,0.0,0.0,0.0,0.0,125.0,26.0,22.0,54.2
-Lorenzo Venuti,it ITA,DF,Fiorentina,26,1995,23.0,20.0,1571.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,17.5,1.0,0.0,14.3,0.06,0.0,0.0,0.05,-0.3,-0.3,909.0,1046.0,86.9,16156.0,4826.0,395.0,426.0,92.7,414.0,464.0,89.2,87.0,126.0,69.0,8.0,67.0,10.0,3.0,68.0,911.0,134.0,22.0,0.0,6.0,29.0,0.0,0.0,0.0,0.0,112.0,1.0,12.0,19.0,1.09,16.0,0.0,0.0,1.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,25.0,10.0,13.0,10.0,2.0,14.0,24.0,58.3,10.0,13.0,4.0,9.0,5.0,27.0,0.0,1165.0,40.0,386.0,558.0,230.0,10.0,1165.0,4.0,7.0,57.1,660.0,28.0,21.0,2.0,826.0,19.0,9.0,0.0,15.0,32.0,0.0,0.0,0.0,1.0,76.0,9.0,8.0,52.9
-Daniele Verde,it ITA,"FW,MF",Spezia,25,1996,33.0,21.0,1957.0,8.0,6.0,1.0,2.0,2.0,0.0,0.37,0.28,0.64,0.32,0.6,6.1,4.5,0.28,0.21,21.7,21.0,9.0,41.2,0.97,0.14,0.33,0.09,1.9,2.5,576.0,826.0,69.7,10492.0,3274.0,287.0,342.0,83.9,194.0,265.0,73.2,81.0,173.0,46.8,39.0,49.0,26.0,8.0,71.0,686.0,136.0,40.0,4.0,12.0,141.0,77.0,41.0,26.0,1.0,18.0,4.0,13.0,79.0,3.64,48.0,20.0,4.0,6.0,1.0,11.0,0.51,7.0,2.0,0.0,2.0,0.0,0.0,11.0,4.0,8.0,2.0,1.0,9.0,20.0,45.0,11.0,17.0,2.0,15.0,18.0,8.0,0.0,987.0,17.0,158.0,381.0,457.0,49.0,985.0,15.0,38.0,39.5,575.0,51.0,32.0,19.0,652.0,17.0,12.0,0.0,3.0,15.0,12.0,0.0,0.0,0.0,102.0,1.0,0.0,100.0
-Simone Verdi,it ITA,"MF,FW",Torino,29,1992,3.0,0.0,46.0,1.0,0.0,0.0,0.0,0.0,0.0,1.96,0.0,1.96,1.96,1.96,0.2,0.2,0.35,0.35,0.5,1.0,0.0,50.0,1.96,0.5,1.0,0.09,0.8,0.8,9.0,16.0,56.3,139.0,40.0,5.0,7.0,71.4,4.0,6.0,66.7,0.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,15.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.96,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,1.0,2.0,13.0,10.0,2.0,24.0,0.0,1.0,0.0,12.0,0.0,0.0,0.0,14.0,2.0,2.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
-Simone Verdi,it ITA,"FW,MF",Salernitana,29,1992,15.0,11.0,829.0,5.0,0.0,1.0,1.0,3.0,0.0,0.54,0.0,0.54,0.43,0.43,3.7,2.9,0.4,0.31,9.2,14.0,9.0,40.0,1.52,0.11,0.29,0.08,1.3,1.1,224.0,333.0,67.3,4416.0,1674.0,99.0,116.0,85.3,82.0,113.0,72.6,37.0,75.0,49.3,19.0,32.0,13.0,5.0,37.0,258.0,74.0,32.0,3.0,5.0,69.0,35.0,13.0,16.0,0.0,1.0,1.0,9.0,49.0,5.31,25.0,13.0,9.0,2.0,0.0,4.0,0.43,2.0,1.0,0.0,1.0,0.0,0.0,12.0,8.0,5.0,2.0,5.0,9.0,20.0,45.0,11.0,4.0,0.0,4.0,3.0,1.0,0.0,459.0,3.0,39.0,190.0,239.0,18.0,458.0,27.0,45.0,60.0,271.0,35.0,26.0,7.0,285.0,19.0,19.0,0.0,11.0,20.0,1.0,0.0,0.0,0.0,45.0,5.0,11.0,31.3
-Jordan Veretout,fr FRA,MF,Roma,28,1993,36.0,26.0,2319.0,4.0,8.0,1.0,2.0,6.0,0.0,0.16,0.31,0.47,0.12,0.43,4.9,3.3,0.19,0.13,25.8,8.0,3.0,29.6,0.31,0.11,0.38,0.12,-0.9,-0.3,1215.0,1440.0,84.4,23611.0,6701.0,446.0,496.0,89.9,576.0,643.0,89.6,177.0,255.0,69.4,55.0,133.0,19.0,2.0,164.0,1316.0,122.0,48.0,2.0,17.0,102.0,69.0,40.0,26.0,0.0,5.0,2.0,12.0,108.0,4.19,64.0,34.0,1.0,6.0,2.0,11.0,0.43,4.0,6.0,0.0,1.0,0.0,0.0,34.0,25.0,20.0,12.0,2.0,15.0,39.0,38.5,24.0,12.0,1.0,11.0,27.0,22.0,1.0,1617.0,43.0,296.0,947.0,387.0,31.0,1615.0,14.0,19.0,73.7,912.0,49.0,32.0,4.0,1135.0,24.0,11.0,0.0,18.0,22.0,1.0,0.0,0.0,0.0,147.0,16.0,12.0,57.1
-Edoardo Vergani,it ITA,"FW,MF",Salernitana,20,2001,6.0,1.0,102.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,25.0,52.0,166.0,18.0,9.0,13.0,69.2,2.0,4.0,50.0,1.0,2.0,50.0,0.0,3.0,0.0,0.0,1.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.88,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,0.0,41.0,5.0,11.0,15.0,15.0,3.0,41.0,0.0,1.0,0.0,21.0,0.0,0.0,0.0,28.0,7.0,1.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0
-Valerio Verre,it ITA,"MF,FW",Sampdoria,27,1994,11.0,6.0,420.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.23,0.23,4.7,1.0,0.0,9.1,0.21,0.0,0.0,0.1,-1.1,-1.1,149.0,223.0,66.8,2721.0,906.0,65.0,91.0,71.4,55.0,78.0,70.5,20.0,33.0,60.6,8.0,18.0,12.0,4.0,34.0,210.0,11.0,7.0,0.0,3.0,16.0,2.0,2.0,0.0,0.0,2.0,2.0,7.0,22.0,4.71,17.0,3.0,0.0,1.0,1.0,1.0,0.21,1.0,0.0,0.0,0.0,0.0,0.0,7.0,5.0,1.0,4.0,2.0,4.0,9.0,44.4,5.0,7.0,0.0,7.0,0.0,5.0,0.0,280.0,6.0,32.0,139.0,112.0,9.0,280.0,4.0,7.0,57.1,199.0,12.0,17.0,2.0,202.0,20.0,9.0,0.0,8.0,10.0,0.0,0.0,0.0,0.0,35.0,6.0,7.0,46.2
-Valerio Verre,it ITA,MF,Empoli,27,1994,8.0,4.0,310.0,0.0,1.0,0.0,0.0,2.0,1.0,0.0,0.29,0.29,0.0,0.29,0.5,0.5,0.16,0.16,3.4,4.0,0.0,44.4,1.16,0.0,0.0,0.06,-0.5,-0.5,122.0,165.0,73.9,2000.0,603.0,61.0,75.0,81.3,50.0,64.0,78.1,8.0,17.0,47.1,5.0,16.0,7.0,0.0,25.0,158.0,7.0,1.0,1.0,1.0,2.0,2.0,0.0,0.0,0.0,1.0,0.0,3.0,15.0,4.37,12.0,0.0,1.0,1.0,1.0,2.0,0.58,2.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,2.0,7.0,28.6,5.0,2.0,0.0,2.0,1.0,0.0,0.0,214.0,2.0,38.0,94.0,84.0,9.0,214.0,5.0,14.0,35.7,149.0,14.0,9.0,0.0,158.0,8.0,9.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,29.0,0.0,7.0,0.0
-Freddie Veseli,al ALB,DF,Salernitana,28,1992,9.0,8.0,596.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,6.6,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,170.0,211.0,80.6,2920.0,1166.0,78.0,87.0,89.7,73.0,88.0,83.0,15.0,28.0,53.6,0.0,11.0,1.0,1.0,12.0,182.0,29.0,5.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,24.0,0.0,3.0,6.0,0.91,3.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,4.0,3.0,0.0,5.0,6.0,83.3,1.0,10.0,5.0,5.0,4.0,19.0,0.0,268.0,37.0,122.0,129.0,19.0,0.0,268.0,2.0,2.0,100.0,123.0,2.0,3.0,0.0,137.0,2.0,3.0,1.0,7.0,1.0,0.0,0.0,2.0,0.0,27.0,7.0,4.0,63.6
-Guglielmo Vicario,it ITA,GK,Empoli,24,1996,38.0,38.0,3420.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1042.0,1325.0,78.6,25736.0,19334.0,241.0,241.0,100.0,550.0,556.0,98.9,247.0,522.0,47.3,1.0,6.0,0.0,0.0,0.0,975.0,348.0,91.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,0.18,6.0,1.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,1.0,1.0,21.0,1.0,1455.0,1298.0,1451.0,5.0,0.0,0.0,1455.0,0.0,0.0,0.0,818.0,0.0,0.0,0.0,657.0,1.0,0.0,0.0,1.0,7.0,0.0,0.0,1.0,0.0,50.0,12.0,1.0,92.3
-Arturo Vidal,cl CHI,MF,Inter,34,1987,28.0,2.0,741.0,1.0,1.0,0.0,0.0,3.0,0.0,0.12,0.12,0.24,0.12,0.24,2.3,2.3,0.28,0.28,8.2,8.0,0.0,44.4,0.97,0.06,0.13,0.13,-1.3,-1.3,498.0,575.0,86.6,8112.0,2174.0,264.0,290.0,91.0,164.0,184.0,89.1,48.0,67.0,71.6,12.0,37.0,12.0,2.0,53.0,563.0,12.0,6.0,4.0,7.0,4.0,2.0,0.0,0.0,0.0,4.0,0.0,8.0,33.0,4.02,27.0,0.0,2.0,3.0,1.0,5.0,0.61,5.0,0.0,0.0,0.0,0.0,0.0,26.0,10.0,16.0,9.0,1.0,9.0,26.0,34.6,17.0,13.0,5.0,8.0,7.0,7.0,1.0,673.0,23.0,159.0,374.0,144.0,27.0,673.0,6.0,8.0,75.0,369.0,11.0,8.0,2.0,492.0,9.0,5.0,0.0,17.0,10.0,1.0,0.0,0.0,0.0,68.0,10.0,14.0,41.7
-Ronaldo Vieira,gw GNB,MF,Sampdoria,23,1998,14.0,4.0,495.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Luca Vignali,it ITA,"DF,MF",Spezia,25,1996,2.0,1.0,85.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,42.0,51.0,82.4,728.0,111.0,16.0,18.0,88.9,24.0,26.0,92.3,2.0,4.0,50.0,0.0,2.0,0.0,0.0,2.0,42.0,9.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,8.0,0.0,4.0,1.0,1.06,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,1.0,1.0,0.0,58.0,3.0,21.0,26.0,12.0,0.0,58.0,0.0,1.0,0.0,29.0,0.0,1.0,0.0,38.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,6.0,1.0,2.0,33.3
-Emanuel Vignato,it ITA,"MF,DF",Bologna,20,2000,24.0,3.0,594.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.15,0.15,0.0,0.15,0.3,0.3,0.04,0.04,6.6,1.0,0.0,20.0,0.15,0.0,0.0,0.06,-0.3,-0.3,341.0,406.0,84.0,5179.0,1418.0,197.0,215.0,91.6,107.0,118.0,90.7,25.0,33.0,75.8,12.0,32.0,11.0,2.0,55.0,377.0,28.0,2.0,2.0,3.0,12.0,4.0,2.0,0.0,0.0,18.0,1.0,14.0,28.0,4.23,23.0,2.0,2.0,1.0,0.0,2.0,0.3,2.0,0.0,0.0,0.0,0.0,0.0,12.0,7.0,5.0,7.0,0.0,6.0,13.0,46.2,7.0,2.0,0.0,2.0,2.0,5.0,0.0,459.0,6.0,70.0,235.0,158.0,15.0,459.0,12.0,14.0,85.7,274.0,22.0,17.0,4.0,320.0,10.0,9.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,40.0,6.0,4.0,60.0
-Matías Viña,uy URU,"DF,FW",Roma,23,1997,26.0,18.0,1565.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.9,0.9,0.05,0.05,17.4,3.0,0.0,25.0,0.17,0.0,0.0,0.07,-0.9,-0.9,658.0,838.0,78.5,10442.0,4383.0,347.0,398.0,87.2,257.0,304.0,84.5,40.0,84.0,47.6,11.0,57.0,13.0,6.0,74.0,673.0,164.0,18.0,2.0,1.0,35.0,0.0,0.0,0.0,0.0,146.0,1.0,17.0,36.0,2.07,26.0,3.0,4.0,1.0,2.0,2.0,0.12,1.0,1.0,0.0,0.0,0.0,0.0,46.0,30.0,27.0,14.0,5.0,29.0,59.0,49.2,30.0,26.0,3.0,23.0,25.0,33.0,0.0,1053.0,48.0,311.0,501.0,254.0,26.0,1053.0,14.0,29.0,48.3,456.0,41.0,22.0,8.0,570.0,32.0,6.0,0.0,9.0,20.0,2.0,0.0,0.0,0.0,100.0,17.0,20.0,45.9
-Nicolas Viola,it ITA,MF,Bologna,31,1989,6.0,1.0,102.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,44.0,64.0,68.8,720.0,221.0,25.0,31.0,80.6,17.0,24.0,70.8,2.0,7.0,28.6,0.0,3.0,0.0,0.0,3.0,56.0,7.0,3.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.88,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,2.0,50.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,75.0,2.0,16.0,41.0,20.0,1.0,75.0,1.0,4.0,25.0,36.0,1.0,2.0,0.0,45.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,15.0,3.0,0.0,100.0
-Mattia Viti,it ITA,DF,Empoli,19,2002,20.0,16.0,1491.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.03,0.03,16.6,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.6,-0.6,568.0,679.0,83.7,10615.0,3548.0,192.0,213.0,90.1,291.0,326.0,89.3,65.0,105.0,61.9,2.0,32.0,1.0,0.0,45.0,615.0,63.0,38.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,13.0,1.0,6.0,10.0,0.6,7.0,1.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,28.0,16.0,16.0,9.0,3.0,15.0,24.0,62.5,9.0,28.0,25.0,3.0,29.0,69.0,1.0,866.0,149.0,434.0,399.0,38.0,6.0,866.0,14.0,18.0,77.8,471.0,10.0,3.0,1.0,466.0,7.0,3.0,1.0,15.0,13.0,1.0,0.0,0.0,1.0,83.0,29.0,33.0,46.8
-Dušan Vlahović,rs SRB,FW,Fiorentina,21,2000,21.0,21.0,1857.0,17.0,2.0,5.0,6.0,2.0,0.0,0.82,0.1,0.92,0.58,0.68,13.5,8.8,0.65,0.43,20.6,27.0,5.0,39.1,1.31,0.17,0.44,0.13,3.5,3.2,270.0,395.0,68.4,4563.0,783.0,129.0,172.0,75.0,103.0,146.0,70.5,30.0,38.0,78.9,20.0,15.0,12.0,3.0,40.0,353.0,41.0,1.0,7.0,4.0,16.0,0.0,0.0,0.0,0.0,1.0,1.0,18.0,54.0,2.62,33.0,0.0,6.0,8.0,7.0,11.0,0.53,5.0,0.0,1.0,5.0,0.0,0.0,5.0,0.0,0.0,2.0,3.0,2.0,11.0,18.2,9.0,6.0,2.0,4.0,1.0,16.0,0.0,641.0,21.0,36.0,292.0,319.0,115.0,635.0,20.0,37.0,54.1,374.0,18.0,13.0,11.0,534.0,82.0,42.0,0.0,19.0,49.0,19.0,0.0,0.0,0.0,37.0,40.0,33.0,54.8
-Dušan Vlahović,rs SRB,FW,Juventus,21,2000,15.0,12.0,1076.0,7.0,1.0,0.0,0.0,2.0,0.0,0.59,0.08,0.67,0.59,0.67,5.7,5.7,0.48,0.48,12.0,19.0,1.0,43.2,1.59,0.16,0.37,0.13,1.3,1.3,154.0,231.0,66.7,2459.0,428.0,78.0,108.0,72.2,44.0,62.0,71.0,19.0,27.0,70.4,9.0,9.0,7.0,1.0,16.0,219.0,11.0,1.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,1.0,13.0,29.0,2.43,24.0,0.0,1.0,3.0,1.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,3.0,0.0,3.0,0.0,7.0,0.0,389.0,9.0,20.0,148.0,227.0,80.0,389.0,11.0,27.0,40.7,234.0,15.0,11.0,5.0,323.0,56.0,28.0,0.0,8.0,20.0,12.0,0.0,0.0,0.0,26.0,19.0,21.0,47.5
-Mërgim Vojvoda,xk KVX,DF,Torino,26,1995,29.0,22.0,1976.0,0.0,3.0,0.0,0.0,3.0,0.0,0.0,0.14,0.14,0.0,0.14,1.5,1.5,0.07,0.07,22.0,6.0,0.0,33.3,0.27,0.0,0.0,0.08,-1.5,-1.5,904.0,1164.0,77.7,14633.0,6048.0,484.0,541.0,89.5,326.0,410.0,79.5,70.0,143.0,49.0,22.0,90.0,31.0,17.0,114.0,979.0,175.0,8.0,0.0,14.0,71.0,2.0,1.0,0.0,0.0,165.0,10.0,20.0,44.0,2.0,40.0,2.0,1.0,0.0,0.0,5.0,0.23,4.0,0.0,1.0,0.0,0.0,0.0,38.0,23.0,23.0,11.0,4.0,20.0,36.0,55.6,16.0,27.0,8.0,19.0,20.0,51.0,0.0,1378.0,71.0,339.0,639.0,415.0,30.0,1378.0,18.0,26.0,69.2,758.0,44.0,37.0,8.0,825.0,21.0,12.0,0.0,21.0,9.0,1.0,0.0,0.0,0.0,126.0,24.0,30.0,44.4
-Cristian Volpato,it ITA,"FW,MF",Roma,17,2003,3.0,0.0,38.0,1.0,0.0,0.0,0.0,0.0,0.0,2.37,0.0,2.37,2.37,2.37,0.1,0.1,0.28,0.28,0.4,1.0,0.0,100.0,2.37,1.0,1.0,0.12,0.9,0.9,20.0,26.0,76.9,357.0,64.0,6.0,6.0,100.0,10.0,13.0,76.9,3.0,5.0,60.0,1.0,0.0,0.0,0.0,4.0,26.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,9.47,4.0,0.0,0.0,0.0,0.0,1.0,2.37,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,0.0,1.0,11.0,19.0,6.0,30.0,1.0,2.0,50.0,25.0,4.0,3.0,3.0,24.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0
-Stefan de Vrij,nl NED,DF,Inter,29,1992,30.0,28.0,2410.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.9,2.9,0.11,0.11,26.8,3.0,0.0,15.0,0.11,0.0,0.0,0.15,-2.9,-2.9,1439.0,1571.0,91.6,27337.0,9038.0,485.0,523.0,92.7,819.0,855.0,95.8,122.0,167.0,73.1,0.0,61.0,3.0,0.0,72.0,1517.0,52.0,25.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,14.0,0.52,9.0,0.0,0.0,5.0,0.0,3.0,0.11,2.0,0.0,0.0,1.0,0.0,0.0,38.0,29.0,22.0,16.0,0.0,12.0,17.0,70.6,5.0,17.0,8.0,9.0,32.0,52.0,0.0,1752.0,205.0,928.0,796.0,39.0,25.0,1752.0,5.0,5.0,100.0,1001.0,15.0,6.0,1.0,1192.0,6.0,3.0,0.0,19.0,6.0,0.0,0.0,1.0,1.0,158.0,68.0,47.0,59.1
-Walace,br BRA,MF,Udinese,26,1995,36.0,33.0,2970.0,1.0,0.0,0.0,0.0,6.0,1.0,0.03,0.0,0.03,0.03,0.03,2.0,2.0,0.06,0.06,33.0,11.0,0.0,23.4,0.33,0.02,0.09,0.04,-1.0,-1.0,1373.0,1661.0,82.7,24047.0,7652.0,617.0,695.0,88.8,586.0,651.0,90.0,132.0,231.0,57.1,29.0,169.0,17.0,3.0,167.0,1561.0,95.0,62.0,3.0,22.0,9.0,0.0,0.0,0.0,0.0,10.0,5.0,27.0,72.0,2.18,58.0,0.0,1.0,10.0,2.0,4.0,0.12,3.0,0.0,0.0,1.0,0.0,0.0,83.0,49.0,37.0,38.0,8.0,50.0,113.0,44.2,63.0,51.0,5.0,46.0,54.0,32.0,1.0,2040.0,102.0,586.0,1207.0,280.0,15.0,2040.0,24.0,39.0,61.5,1091.0,42.0,24.0,2.0,1224.0,49.0,35.0,0.0,47.0,37.0,1.0,0.0,1.0,0.0,285.0,20.0,23.0,46.5
-Sebastian Walukiewicz,pl POL,DF,Cagliari,21,2000,7.0,4.0,302.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.09,0.09,3.4,0.0,0.0,0.0,0.0,0.0,0.0,0.29,-0.3,-0.3,152.0,171.0,88.9,2967.0,1010.0,49.0,52.0,94.2,79.0,86.0,91.9,20.0,27.0,74.1,1.0,11.0,1.0,0.0,13.0,164.0,7.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,2.0,0.6,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,7.0,2.0,0.0,3.0,5.0,60.0,2.0,5.0,2.0,3.0,7.0,14.0,0.0,213.0,23.0,120.0,86.0,7.0,1.0,213.0,6.0,8.0,75.0,143.0,4.0,2.0,0.0,147.0,4.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,14.0,2.0,1.0,66.7
-Magnus Warming,dk DEN,"MF,FW",Torino,21,2000,4.0,0.0,58.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,22.0,50.0,144.0,4.0,8.0,12.0,66.7,3.0,6.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.58,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,32.0,0.0,6.0,11.0,15.0,3.0,32.0,0.0,1.0,0.0,15.0,6.0,1.0,2.0,18.0,1.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,3.0,1.0,2.0,33.3
-Kelvin Yeboah,it ITA,"FW,MF",Genoa,21,2000,17.0,9.0,850.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.11,0.11,0.0,0.11,1.5,1.5,0.16,0.16,9.4,4.0,0.0,25.0,0.42,0.0,0.0,0.09,-1.5,-1.5,113.0,178.0,63.5,1392.0,441.0,74.0,100.0,74.0,24.0,39.0,61.5,4.0,8.0,50.0,13.0,7.0,5.0,2.0,11.0,171.0,6.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,2.0,1.0,10.0,34.0,3.6,21.0,0.0,3.0,2.0,7.0,3.0,0.32,2.0,0.0,0.0,0.0,1.0,0.0,14.0,7.0,5.0,7.0,2.0,9.0,19.0,47.4,10.0,22.0,1.0,21.0,1.0,7.0,0.0,352.0,9.0,41.0,123.0,193.0,53.0,352.0,13.0,36.0,36.1,198.0,23.0,15.0,10.0,240.0,44.0,13.0,0.0,28.0,30.0,7.0,1.0,0.0,0.0,34.0,31.0,43.0,41.9
-Gerard Yepes,es ESP,"MF,DF",Sampdoria,18,2002,4.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,21.0,90.5,354.0,153.0,10.0,11.0,90.9,6.0,6.0,100.0,3.0,4.0,75.0,0.0,2.0,0.0,0.0,2.0,20.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,24.0,1.0,9.0,15.0,0.0,0.0,24.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
-Maya Yoshida,jp JPN,DF,Sampdoria,32,1988,26.0,19.0,1823.0,2.0,3.0,0.0,0.0,2.0,0.0,0.1,0.15,0.25,0.1,0.25,1.2,1.2,0.06,0.06,20.3,4.0,0.0,44.4,0.2,0.22,0.5,0.13,0.8,0.8,814.0,966.0,84.3,16926.0,6407.0,231.0,265.0,87.2,466.0,504.0,92.5,110.0,173.0,63.6,7.0,43.0,5.0,1.0,57.0,933.0,29.0,25.0,2.0,6.0,4.0,0.0,0.0,0.0,0.0,2.0,4.0,5.0,16.0,0.79,15.0,1.0,0.0,0.0,0.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,0.0,17.0,10.0,8.0,9.0,0.0,8.0,15.0,53.3,7.0,27.0,20.0,7.0,28.0,72.0,1.0,1139.0,179.0,630.0,471.0,39.0,15.0,1139.0,2.0,2.0,100.0,601.0,7.0,3.0,0.0,672.0,9.0,4.0,0.0,20.0,9.0,0.0,0.0,0.0,1.0,119.0,39.0,23.0,62.9
-Mattia Zaccagni,it ITA,MF,Hellas Verona,26,1995,2.0,2.0,180.0,2.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.5,0.5,1.3,0.5,0.65,0.25,2.0,2.0,0.0,66.7,1.0,0.33,0.5,0.17,0.7,0.5,56.0,70.0,80.0,892.0,354.0,31.0,35.0,88.6,19.0,25.0,76.0,4.0,6.0,66.7,5.0,3.0,6.0,1.0,10.0,57.0,13.0,2.0,1.0,0.0,10.0,9.0,4.0,2.0,0.0,0.0,0.0,2.0,14.0,7.0,4.0,6.0,1.0,0.0,2.0,2.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,3.0,1.0,1.0,0.0,2.0,1.0,2.0,50.0,1.0,1.0,0.0,1.0,4.0,0.0,0.0,99.0,1.0,5.0,36.0,62.0,10.0,98.0,7.0,11.0,63.6,62.0,10.0,7.0,4.0,66.0,2.0,8.0,0.0,1.0,7.0,0.0,1.0,0.0,0.0,8.0,4.0,2.0,66.7
-Mattia Zaccagni,it ITA,FW,Lazio,26,1995,29.0,21.0,1876.0,4.0,5.0,0.0,0.0,6.0,0.0,0.19,0.24,0.43,0.19,0.43,3.7,3.7,0.18,0.18,20.8,10.0,0.0,30.3,0.48,0.12,0.4,0.11,0.3,0.3,592.0,740.0,80.0,8031.0,1714.0,373.0,426.0,87.6,161.0,201.0,80.1,22.0,46.0,47.8,27.0,24.0,21.0,0.0,55.0,716.0,23.0,4.0,1.0,7.0,41.0,3.0,0.0,0.0,0.0,16.0,1.0,20.0,62.0,2.97,46.0,1.0,3.0,4.0,7.0,13.0,0.62,7.0,0.0,1.0,1.0,4.0,0.0,33.0,16.0,10.0,13.0,10.0,11.0,19.0,57.9,8.0,17.0,2.0,15.0,20.0,5.0,0.0,977.0,12.0,106.0,397.0,484.0,98.0,977.0,45.0,87.0,51.7,671.0,85.0,36.0,36.0,781.0,41.0,12.0,0.0,29.0,74.0,2.0,1.0,0.0,0.0,86.0,12.0,19.0,38.7
-Denis Zakaria,ch SUI,MF,Juventus,24,1996,9.0,6.0,597.0,1.0,1.0,0.0,0.0,1.0,0.0,0.15,0.15,0.3,0.15,0.3,1.4,1.4,0.21,0.21,6.6,4.0,0.0,44.4,0.6,0.11,0.25,0.15,-0.4,-0.4,129.0,168.0,76.8,2066.0,760.0,64.0,74.0,86.5,51.0,58.0,87.9,11.0,16.0,68.8,3.0,14.0,3.0,0.0,14.0,167.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,9.0,1.36,5.0,0.0,1.0,2.0,1.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,0.0,11.0,7.0,3.0,6.0,2.0,3.0,11.0,27.3,8.0,16.0,3.0,13.0,11.0,7.0,0.0,237.0,10.0,62.0,111.0,68.0,15.0,237.0,2.0,5.0,40.0,114.0,8.0,9.0,0.0,136.0,11.0,7.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,27.0,2.0,8.0,20.0
-Nicola Zalewski,pl POL,DF,Roma,19,2002,16.0,9.0,793.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.07,0.07,8.8,4.0,0.0,44.4,0.45,0.0,0.0,0.07,-0.6,-0.6,397.0,507.0,78.3,6977.0,2079.0,183.0,202.0,90.6,167.0,201.0,83.1,41.0,83.0,49.4,10.0,21.0,9.0,3.0,22.0,400.0,105.0,14.0,0.0,1.0,31.0,7.0,3.0,4.0,0.0,84.0,2.0,10.0,25.0,2.83,17.0,3.0,1.0,2.0,2.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,0.0,32.0,19.0,17.0,11.0,4.0,21.0,35.0,60.0,14.0,18.0,1.0,17.0,16.0,4.0,0.0,635.0,6.0,201.0,294.0,155.0,13.0,635.0,15.0,30.0,50.0,316.0,43.0,24.0,8.0,354.0,16.0,7.0,0.0,9.0,20.0,1.0,0.0,0.0,0.0,66.0,2.0,10.0,16.7
-Andre-Frank Zambo Anguissa,cm CMR,MF,Napoli,25,1995,25.0,21.0,1926.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.05,0.05,0.0,0.05,1.5,1.5,0.07,0.07,21.4,3.0,0.0,15.0,0.14,0.0,0.0,0.08,-1.5,-1.5,1086.0,1216.0,89.3,15273.0,4206.0,640.0,678.0,94.4,340.0,376.0,90.4,50.0,70.0,71.4,23.0,114.0,17.0,4.0,126.0,1187.0,25.0,17.0,1.0,3.0,9.0,0.0,0.0,0.0,0.0,0.0,4.0,23.0,63.0,2.94,52.0,1.0,4.0,1.0,2.0,7.0,0.33,6.0,0.0,0.0,0.0,0.0,1.0,50.0,26.0,24.0,17.0,9.0,25.0,51.0,49.0,26.0,31.0,5.0,26.0,24.0,33.0,1.0,1490.0,47.0,271.0,893.0,338.0,45.0,1490.0,46.0,66.0,69.7,886.0,45.0,31.0,9.0,1091.0,46.0,23.0,0.0,38.0,28.0,0.0,0.0,0.0,0.0,139.0,29.0,21.0,58.0
-Nicolò Zaniolo,it ITA,"FW,MF",Roma,22,1999,28.0,23.0,1971.0,2.0,1.0,0.0,0.0,12.0,2.0,0.09,0.05,0.14,0.09,0.14,6.2,6.2,0.28,0.28,21.9,20.0,0.0,28.6,0.91,0.03,0.1,0.09,-4.2,-4.2,356.0,523.0,68.1,6166.0,1482.0,190.0,232.0,81.9,104.0,156.0,66.7,48.0,76.0,63.2,28.0,31.0,21.0,4.0,57.0,486.0,31.0,2.0,2.0,12.0,67.0,20.0,20.0,0.0,0.0,5.0,6.0,29.0,86.0,3.92,44.0,4.0,13.0,12.0,11.0,11.0,0.5,4.0,0.0,2.0,1.0,4.0,0.0,24.0,15.0,0.0,15.0,9.0,6.0,28.0,21.4,22.0,19.0,0.0,19.0,7.0,6.0,0.0,882.0,7.0,78.0,362.0,475.0,100.0,882.0,56.0,114.0,49.1,589.0,87.0,67.0,27.0,690.0,95.0,53.0,1.0,52.0,63.0,10.0,3.0,0.0,0.0,80.0,19.0,23.0,45.2
-Alessandro Zanoli,it ITA,DF,Napoli,20,2000,12.0,5.0,457.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,231.0,286.0,80.8,3374.0,1189.0,133.0,147.0,90.5,80.0,98.0,81.6,11.0,20.0,55.0,2.0,9.0,5.0,1.0,17.0,246.0,40.0,3.0,1.0,1.0,4.0,1.0,0.0,0.0,0.0,36.0,0.0,11.0,6.0,1.18,5.0,0.0,0.0,0.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,10.0,7.0,6.0,3.0,1.0,3.0,5.0,60.0,2.0,2.0,1.0,1.0,4.0,16.0,0.0,333.0,22.0,110.0,167.0,60.0,3.0,333.0,6.0,11.0,54.5,174.0,11.0,8.0,3.0,212.0,5.0,2.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,23.0,4.0,3.0,57.1
-Mattia Zanotti,it ITA,DF,Inter,18,2003,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,100.0,150.0,23.0,7.0,7.0,100.0,5.0,5.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,3.0,1.0,9.0,1.0,13.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Duván Zapata,co COL,FW,Atalanta,30,1991,24.0,20.0,1722.0,10.0,4.0,3.0,3.0,3.0,0.0,0.52,0.21,0.73,0.37,0.57,15.2,12.8,0.79,0.67,19.1,31.0,0.0,39.7,1.62,0.09,0.23,0.17,-5.2,-5.8,407.0,548.0,74.3,5607.0,892.0,244.0,298.0,81.9,114.0,148.0,77.0,19.0,35.0,54.3,39.0,18.0,22.0,4.0,47.0,494.0,51.0,0.0,3.0,5.0,25.0,0.0,0.0,0.0,0.0,5.0,3.0,14.0,86.0,4.49,57.0,1.0,12.0,13.0,2.0,8.0,0.42,6.0,0.0,1.0,1.0,0.0,0.0,6.0,2.0,0.0,4.0,2.0,4.0,8.0,50.0,4.0,8.0,1.0,7.0,3.0,5.0,0.0,814.0,8.0,22.0,259.0,539.0,192.0,811.0,28.0,61.0,45.9,543.0,66.0,40.0,38.0,675.0,87.0,43.0,0.0,29.0,27.0,10.0,0.0,0.0,0.0,35.0,46.0,44.0,51.1
-Gabriele Zappa,it ITA,DF,Cagliari,21,1999,25.0,11.0,1144.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,12.7,2.0,0.0,33.3,0.16,0.0,0.0,0.08,-0.5,-0.5,454.0,609.0,74.5,7569.0,3354.0,246.0,284.0,86.6,158.0,206.0,76.7,45.0,84.0,53.6,7.0,33.0,6.0,5.0,41.0,512.0,95.0,11.0,0.0,2.0,25.0,0.0,0.0,0.0,0.0,84.0,2.0,25.0,19.0,1.49,17.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,9.0,12.0,6.0,3.0,6.0,24.0,25.0,18.0,15.0,5.0,10.0,14.0,28.0,0.0,744.0,46.0,272.0,321.0,161.0,11.0,744.0,11.0,26.0,42.3,414.0,22.0,23.0,2.0,441.0,18.0,10.0,1.0,16.0,11.0,0.0,0.0,0.0,0.0,68.0,12.0,9.0,57.1
-Davide Zappacosta,it ITA,DF,Atalanta,29,1992,34.0,29.0,2345.0,1.0,5.0,0.0,0.0,6.0,0.0,0.04,0.19,0.23,0.04,0.23,2.8,2.8,0.11,0.11,26.1,5.0,0.0,13.5,0.19,0.03,0.2,0.08,-1.8,-1.8,1238.0,1503.0,82.4,17838.0,6216.0,758.0,818.0,92.7,403.0,489.0,82.4,51.0,105.0,48.6,33.0,60.0,36.0,18.0,99.0,1262.0,236.0,21.0,1.0,2.0,88.0,4.0,1.0,0.0,0.0,211.0,5.0,40.0,72.0,2.76,51.0,3.0,4.0,8.0,3.0,8.0,0.31,6.0,0.0,0.0,1.0,1.0,0.0,32.0,22.0,12.0,13.0,7.0,19.0,37.0,51.4,18.0,32.0,2.0,30.0,12.0,22.0,0.0,1744.0,45.0,352.0,721.0,685.0,87.0,1744.0,24.0,52.0,46.2,1000.0,94.0,61.0,25.0,1206.0,29.0,23.0,0.0,31.0,31.0,7.0,2.0,0.0,0.0,124.0,5.0,12.0,29.4
-Simone Zaza,it ITA,"FW,DF",Torino,30,1991,10.0,0.0,129.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.66,0.66,1.4,3.0,0.0,37.5,2.09,0.0,0.0,0.12,-0.9,-0.9,31.0,42.0,73.8,448.0,77.0,17.0,20.0,85.0,11.0,15.0,73.3,1.0,4.0,25.0,0.0,0.0,2.0,0.0,3.0,41.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,1.41,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,1.0,100.0,0.0,3.0,0.0,3.0,0.0,3.0,0.0,71.0,5.0,8.0,24.0,41.0,12.0,71.0,2.0,3.0,66.7,35.0,2.0,4.0,1.0,51.0,10.0,6.0,0.0,5.0,2.0,2.0,0.0,0.0,0.0,6.0,10.0,8.0,55.6
-Marvin Zeegelaar,nl NED,DF,Udinese,30,1990,14.0,6.0,643.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,7.1,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,246.0,319.0,77.1,4120.0,1846.0,114.0,138.0,82.6,103.0,131.0,78.6,20.0,32.0,62.5,1.0,17.0,1.0,0.0,23.0,286.0,32.0,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,27.0,1.0,4.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,11.0,6.0,8.0,1.0,5.0,14.0,35.7,9.0,12.0,4.0,8.0,12.0,22.0,1.0,398.0,34.0,167.0,191.0,46.0,5.0,398.0,5.0,7.0,71.4,166.0,4.0,6.0,0.0,200.0,5.0,2.0,0.0,13.0,4.0,2.0,0.0,1.0,0.0,43.0,13.0,7.0,65.0
-Piotr Zieliński,pl POL,MF,Napoli,27,1994,35.0,26.0,2086.0,6.0,5.0,0.0,0.0,1.0,0.0,0.26,0.22,0.47,0.26,0.47,4.0,4.0,0.17,0.17,23.2,15.0,1.0,34.9,0.65,0.14,0.4,0.09,2.0,2.0,954.0,1150.0,83.0,13218.0,3854.0,530.0,595.0,89.1,288.0,349.0,82.5,52.0,74.0,70.3,50.0,87.0,40.0,6.0,128.0,1069.0,75.0,9.0,4.0,1.0,35.0,28.0,7.0,7.0,0.0,3.0,6.0,24.0,92.0,3.96,73.0,7.0,2.0,4.0,3.0,14.0,0.6,11.0,2.0,0.0,1.0,0.0,0.0,19.0,12.0,5.0,9.0,5.0,6.0,21.0,28.6,15.0,13.0,2.0,11.0,8.0,4.0,0.0,1336.0,11.0,134.0,709.0,498.0,69.0,1336.0,17.0,36.0,47.2,795.0,50.0,47.0,3.0,1038.0,39.0,17.0,0.0,19.0,28.0,1.0,0.0,0.0,0.0,76.0,3.0,14.0,17.6
-David Zima,cz CZE,DF,Torino,20,2000,20.0,13.0,1314.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.06,0.06,14.6,3.0,0.0,50.0,0.21,0.0,0.0,0.15,-0.9,-0.9,516.0,611.0,84.5,8910.0,2319.0,207.0,241.0,85.9,269.0,297.0,90.6,34.0,53.0,64.2,5.0,22.0,4.0,0.0,24.0,599.0,12.0,11.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,9.0,0.62,8.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,12.0,8.0,11.0,1.0,9.0,20.0,45.0,11.0,15.0,13.0,2.0,23.0,42.0,0.0,755.0,71.0,331.0,346.0,79.0,12.0,755.0,5.0,7.0,71.4,407.0,7.0,12.0,1.0,456.0,9.0,5.0,0.0,16.0,5.0,1.0,0.0,1.0,0.0,57.0,45.0,40.0,52.9
-Jeroen Zoet,nl NED,GK,Spezia,30,1991,7.0,7.0,630.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,180.0,236.0,76.3,4540.0,3041.0,37.0,37.0,100.0,89.0,89.0,100.0,54.0,109.0,49.5,0.0,3.0,0.0,0.0,0.0,165.0,71.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,258.0,236.0,258.0,0.0,0.0,0.0,258.0,0.0,0.0,0.0,138.0,0.0,0.0,0.0,110.0,1.0,0.0,0.0,1.0,3.0,0.0,0.0,1.0,0.0,5.0,2.0,1.0,66.7
-Nadir Zortea,it ITA,"DF,MF",Salernitana,22,1999,29.0,13.0,1410.0,1.0,2.0,0.0,0.0,3.0,0.0,0.06,0.13,0.19,0.06,0.19,0.8,0.8,0.05,0.05,15.7,4.0,0.0,25.0,0.26,0.06,0.25,0.05,0.2,0.2,310.0,484.0,64.0,5579.0,2605.0,143.0,172.0,83.1,116.0,176.0,65.9,42.0,89.0,47.2,16.0,19.0,25.0,20.0,31.0,388.0,95.0,2.0,0.0,0.0,85.0,10.0,2.0,8.0,0.0,83.0,1.0,32.0,37.0,2.36,25.0,3.0,3.0,1.0,3.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,0.0,21.0,15.0,9.0,7.0,5.0,11.0,19.0,57.9,8.0,14.0,2.0,12.0,7.0,33.0,0.0,666.0,44.0,167.0,262.0,253.0,18.0,666.0,26.0,50.0,52.0,339.0,49.0,27.0,10.0,357.0,32.0,13.0,0.0,14.0,6.0,0.0,0.0,0.0,0.0,72.0,8.0,17.0,32.0
-Petar Zovko,ba BIH,GK,Spezia,19,2002,1.0,0.0,29.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,10.0,70.0,186.0,93.0,1.0,1.0,100.0,4.0,4.0,100.0,2.0,5.0,40.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.1,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,10.0,11.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-Szymon Żurkowski,pl POL,MF,Empoli,23,1997,35.0,29.0,2307.0,6.0,2.0,0.0,0.0,5.0,0.0,0.23,0.08,0.31,0.23,0.31,4.6,4.6,0.18,0.18,25.6,17.0,0.0,36.2,0.66,0.13,0.35,0.1,1.4,1.4,702.0,901.0,77.9,10301.0,2698.0,374.0,435.0,86.0,257.0,314.0,81.8,37.0,66.0,56.1,20.0,58.0,18.0,2.0,101.0,892.0,7.0,2.0,4.0,3.0,23.0,0.0,0.0,0.0,0.0,5.0,2.0,32.0,77.0,3.0,57.0,0.0,4.0,8.0,8.0,6.0,0.23,4.0,0.0,0.0,2.0,0.0,0.0,58.0,33.0,24.0,21.0,13.0,29.0,68.0,42.6,39.0,43.0,10.0,33.0,35.0,32.0,1.0,1278.0,62.0,288.0,575.0,439.0,58.0,1278.0,38.0,55.0,69.1,805.0,70.0,59.0,6.0,854.0,68.0,35.0,0.0,41.0,67.0,0.0,0.0,1.0,0.0,162.0,24.0,32.0,42.9
-Milan Đurić,ba BIH,FW,Salernitana,31,1990,33.0,23.0,2165.0,5.0,4.0,1.0,1.0,6.0,0.0,0.21,0.17,0.37,0.17,0.33,6.4,5.6,0.26,0.23,24.1,15.0,0.0,30.6,0.62,0.08,0.27,0.11,-1.4,-1.6,407.0,681.0,59.8,4642.0,897.0,288.0,461.0,62.5,78.0,134.0,58.2,6.0,8.0,75.0,33.0,19.0,5.0,1.0,35.0,668.0,10.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,3.0,6.0,58.0,2.41,43.0,0.0,1.0,10.0,4.0,8.0,0.33,5.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,3.0,33.3,2.0,6.0,1.0,5.0,2.0,32.0,0.0,870.0,36.0,66.0,421.0,386.0,146.0,869.0,8.0,16.0,50.0,373.0,7.0,12.0,1.0,731.0,37.0,20.0,0.0,24.0,45.0,6.0,1.0,0.0,0.0,40.0,242.0,83.0,74.5
-Filip Đuričić,rs SRB,"MF,FW",Sassuolo,29,1992,12.0,9.0,671.0,2.0,1.0,0.0,0.0,1.0,0.0,0.27,0.13,0.4,0.27,0.4,2.1,2.1,0.28,0.28,7.5,6.0,0.0,35.3,0.8,0.12,0.33,0.12,-0.1,-0.1,179.0,224.0,79.9,2580.0,765.0,107.0,125.0,85.6,58.0,68.0,85.3,8.0,8.0,100.0,11.0,14.0,16.0,0.0,28.0,215.0,9.0,2.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,11.0,26.0,3.48,19.0,0.0,5.0,1.0,0.0,2.0,0.27,2.0,0.0,0.0,0.0,0.0,0.0,13.0,10.0,7.0,1.0,5.0,5.0,13.0,38.5,8.0,7.0,1.0,6.0,4.0,1.0,0.0,308.0,9.0,43.0,137.0,135.0,24.0,308.0,18.0,29.0,62.1,215.0,25.0,20.0,8.0,243.0,19.0,14.0,0.0,10.0,14.0,2.0,0.0,0.0,0.0,34.0,3.0,5.0,37.5
+player,nationality,position,team,age,birth_year,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,minutes_90s,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
+Tammy Abraham,eng ENG,FW,Roma,23,1997,37.0,36.0,3084.0,17.0,4.0,3.0,3.0,9.0,0.0,0.5,0.12,0.61,0.41,0.53,20.7,18.4,0.6,0.54,34.3,35.0,3.0,38.0,1.02,0.15,0.4,0.2,-3.7,-4.4,485.0,696.0,69.7,6820.0,1622.0,293.0,401.0,73.1,134.0,180.0,74.4,28.0,39.0,71.8,38.0,35.0,27.0,3.0,70.0,627.0,67.0,6.0,5.0,1.0,16.0,0.0,0.0,0.0,0.0,2.0,2.0,20.0,94.0,2.74,62.0,1.0,17.0,7.0,14.0,0.41,6.0,0.0,3.0,3.0,0.0,27.0,13.0,7.0,14.0,6.0,17.0,3.0,14.0,5.0,27.0,0.0,1064.0,32.0,73.0,508.0,495.0,173.0,1061.0,494.0,41.0,31.0,22.0,736.0,86.0,41.0,0.0,38.0,49.0,17.0,1.0,1.0,0.0,68.0,78.0,80.0,49.4
+Francesco Acerbi,it ITA,DF,Lazio,33,1988,30.0,29.0,2536.0,4.0,0.0,0.0,0.0,2.0,1.0,0.14,0.0,0.14,0.14,0.14,2.4,2.4,0.09,0.09,28.2,7.0,0.0,46.7,0.25,0.27,0.57,0.16,1.6,1.6,1837.0,2043.0,89.9,34996.0,12273.0,678.0,731.0,92.7,919.0,968.0,94.9,211.0,296.0,71.3,5.0,119.0,6.0,0.0,119.0,1955.0,87.0,77.0,1.0,34.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,6.0,17.0,0.61,13.0,1.0,1.0,2.0,2.0,0.07,1.0,0.0,0.0,1.0,0.0,25.0,12.0,15.0,9.0,1.0,37.0,28.0,9.0,34.0,92.0,0.0,2295.0,268.0,1102.0,1143.0,59.0,22.0,2295.0,1364.0,31.0,19.0,0.0,1641.0,13.0,4.0,0.0,18.0,16.0,4.0,1.0,0.0,0.0,162.0,69.0,43.0,61.6
+Michel Aebischer,ch SUI,MF,Bologna,24,1997,12.0,4.0,443.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,4.9,2.0,0.0,100.0,0.41,0.0,0.0,0.05,-0.1,-0.1,205.0,239.0,85.8,3121.0,883.0,105.0,113.0,92.9,78.0,84.0,92.9,12.0,22.0,54.5,6.0,14.0,4.0,1.0,19.0,225.0,13.0,5.0,0.0,1.0,7.0,7.0,0.0,4.0,0.0,1.0,1.0,5.0,10.0,2.05,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,5.0,5.0,8.0,1.0,4.0,1.0,3.0,6.0,3.0,0.0,292.0,12.0,68.0,171.0,56.0,8.0,292.0,143.0,2.0,2.0,2.0,196.0,9.0,5.0,0.0,13.0,4.0,0.0,0.0,0.0,0.0,27.0,5.0,4.0,55.6
+"Felix Afena-Gyan,gh GHA,""FW,MF"",Roma,18,2003,17.0,6.0,668.0,2.0,0.0,0.0,0.0,5.0,1.0,0.27,0.0,0.27,0.27,0.27,1.7,1.7,0.22,0.22,7.4,7.0,0.0,41.2,0.94,0.12,0.29,0.1,0.3,0.3,114.0,152.0,75.0,1530.0,229.0,67.0,81.0,82.7,34.0,45.0,75.6,6.0,7.0,85.7,6.0,4.0,4.0,1.0,7.0,145.0,7.0,0.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,5.0,0.0,4.0,23.0,3.1,14.0,0.0,2.0,5.0,2.0,0.27,1.0,0.0,0.0,0.0,0.0,10.0,3.0,1.0,6.0,3.0,4.0,0.0,4.0,3.0,0.0,0.0,278.0,0.0,17.0,91.0,175.0,39.0,278.0,193.0,19.0,16.0,9.0,212.0,42.0,21.0,1.0,15.0,24.0,4.0,0.0,0.0,0.0,31.0,11.0,15.0,42.3"
+"Kevin Agudelo,co COL,""MF,FW"",Spezia,22,1998,23.0,12.0,1237.0,3.0,1.0,0.0,0.0,2.0,1.0,0.22,0.07,0.29,0.22,0.29,2.6,2.6,0.19,0.19,13.7,11.0,0.0,52.4,0.8,0.14,0.27,0.12,0.4,0.4,280.0,389.0,72.0,3788.0,1163.0,165.0,211.0,78.2,90.0,108.0,83.3,7.0,20.0,35.0,10.0,33.0,11.0,1.0,46.0,375.0,11.0,1.0,0.0,1.0,22.0,4.0,3.0,1.0,0.0,4.0,3.0,22.0,39.0,2.84,21.0,0.0,4.0,4.0,3.0,0.22,1.0,0.0,0.0,0.0,2.0,44.0,26.0,13.0,26.0,5.0,22.0,0.0,22.0,8.0,6.0,0.0,583.0,10.0,72.0,266.0,262.0,32.0,583.0,323.0,41.0,35.0,15.0,374.0,40.0,37.0,0.0,36.0,24.0,0.0,0.0,0.0,0.0,67.0,15.0,14.0,51.7"
+Ola Aina,ng NGA,DF,Torino,24,1996,21.0,17.0,1437.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.01,0.01,16.0,4.0,0.0,40.0,0.25,0.0,0.0,0.02,-0.2,-0.2,535.0,755.0,70.9,8693.0,3540.0,272.0,316.0,86.1,202.0,280.0,72.1,44.0,93.0,47.3,16.0,43.0,20.0,4.0,68.0,600.0,151.0,9.0,1.0,0.0,34.0,0.0,0.0,0.0,0.0,142.0,4.0,30.0,37.0,2.32,29.0,2.0,0.0,3.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,27.0,19.0,11.0,10.0,6.0,17.0,3.0,14.0,28.0,30.0,0.0,950.0,48.0,227.0,441.0,294.0,27.0,950.0,483.0,42.0,34.0,7.0,530.0,32.0,10.0,0.0,18.0,28.0,1.0,0.0,0.0,0.0,101.0,17.0,25.0,40.5
+"Marley Aké,fr FRA,""FW,MF"",Juventus,20,2001,4.0,0.0,77.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,16.0,75.0,184.0,58.0,7.0,8.0,87.5,1.0,2.0,50.0,2.0,2.0,100.0,0.0,2.0,1.0,1.0,1.0,16.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,24.0,0.0,4.0,12.0,9.0,0.0,24.0,18.0,3.0,2.0,0.0,18.0,3.0,1.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,100.0"
+Jean-Daniel Akpa-Akpro,ci CIV,MF,Lazio,28,1992,10.0,4.0,315.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,89.0,106.0,84.0,1077.0,154.0,61.0,68.0,89.7,24.0,25.0,96.0,1.0,1.0,100.0,2.0,6.0,1.0,0.0,3.0,106.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,0.86,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,10.0,7.0,9.0,1.0,4.0,2.0,2.0,2.0,6.0,0.0,166.0,10.0,45.0,88.0,37.0,1.0,166.0,89.0,5.0,4.0,0.0,107.0,13.0,4.0,0.0,13.0,8.0,0.0,0.0,1.0,0.0,13.0,4.0,4.0,50.0
+Luis Alberto,es ESP,MF,Lazio,28,1992,34.0,27.0,2353.0,5.0,9.0,0.0,0.0,5.0,0.0,0.19,0.34,0.54,0.19,0.54,3.3,3.3,0.12,0.12,26.1,16.0,2.0,34.0,0.61,0.11,0.31,0.07,1.7,1.7,1626.0,1970.0,82.5,25002.0,8252.0,896.0,986.0,90.9,553.0,631.0,87.6,115.0,235.0,48.9,65.0,235.0,44.0,5.0,223.0,1751.0,211.0,82.0,18.0,9.0,143.0,104.0,47.0,40.0,0.0,12.0,8.0,29.0,120.0,4.59,83.0,26.0,3.0,5.0,16.0,0.61,6.0,7.0,2.0,0.0,0.0,29.0,17.0,8.0,11.0,10.0,32.0,4.0,28.0,13.0,7.0,0.0,2177.0,16.0,259.0,1216.0,728.0,30.0,2177.0,1343.0,84.0,89.0,7.0,1682.0,29.0,23.0,0.0,13.0,26.0,1.0,0.0,0.0,0.0,136.0,6.0,12.0,33.3
+Giorgio Altare,it ITA,DF,Cagliari,22,1998,19.0,17.0,1466.0,1.0,0.0,0.0,0.0,5.0,0.0,0.06,0.0,0.06,0.06,0.06,1.0,1.0,0.06,0.06,16.3,6.0,0.0,33.3,0.37,0.06,0.17,0.06,0.0,0.0,531.0,799.0,66.5,10947.0,4885.0,175.0,221.0,79.2,250.0,330.0,75.8,100.0,208.0,48.1,8.0,50.0,6.0,3.0,71.0,712.0,83.0,12.0,0.0,3.0,27.0,0.0,0.0,0.0,0.0,71.0,4.0,11.0,27.0,1.66,16.0,3.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,28.0,18.0,18.0,3.0,17.0,5.0,12.0,30.0,70.0,0.0,1000.0,96.0,426.0,456.0,129.0,25.0,1000.0,461.0,13.0,15.0,0.0,479.0,6.0,3.0,0.0,35.0,10.0,1.0,0.0,1.0,0.0,126.0,46.0,34.0,57.5
+Wisdom Amey,it ITA,DF,Bologna,15,2005,1.0,1.0,71.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,29.0,69.0,419.0,59.0,8.0,9.0,88.9,7.0,10.0,70.0,4.0,8.0,50.0,0.0,0.0,0.0,0.0,1.0,25.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,1.0,1.0,2.0,0.0,2.0,3.0,1.0,0.0,41.0,1.0,17.0,23.0,2.0,0.0,41.0,19.0,0.0,1.0,0.0,17.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,75.0
+Kelvin Amian,fr FRA,DF,Spezia,23,1998,32.0,31.0,2646.0,1.0,1.0,0.0,0.0,9.0,2.0,0.03,0.03,0.07,0.03,0.07,2.6,2.6,0.09,0.09,29.4,7.0,0.0,26.9,0.24,0.04,0.14,0.1,-1.6,-1.6,887.0,1133.0,78.3,13080.0,5926.0,525.0,593.0,88.5,286.0,367.0,77.9,53.0,97.0,54.6,12.0,53.0,7.0,2.0,64.0,862.0,267.0,18.0,1.0,1.0,24.0,0.0,0.0,0.0,0.0,249.0,4.0,35.0,33.0,1.12,22.0,3.0,3.0,2.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,66.0,42.0,43.0,18.0,5.0,39.0,21.0,18.0,32.0,75.0,0.0,1446.0,122.0,592.0,577.0,294.0,34.0,1446.0,670.0,38.0,25.0,5.0,739.0,27.0,20.0,1.0,36.0,14.0,1.0,0.0,0.0,0.0,105.0,41.0,29.0,58.6
+"Nadiem Amiri,de GER,""MF,FW"",Genoa,24,1996,13.0,9.0,683.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.13,0.13,0.0,0.13,0.9,0.9,0.12,0.12,7.6,6.0,1.0,37.5,0.79,0.0,0.0,0.06,-0.9,-0.9,222.0,299.0,74.2,3236.0,970.0,122.0,144.0,84.7,74.0,93.0,79.6,10.0,33.0,30.3,20.0,16.0,9.0,1.0,33.0,255.0,41.0,13.0,2.0,0.0,20.0,12.0,2.0,7.0,0.0,2.0,3.0,3.0,30.0,3.96,24.0,4.0,0.0,1.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,6.0,4.0,2.0,2.0,2.0,7.0,0.0,7.0,0.0,0.0,0.0,402.0,1.0,34.0,197.0,177.0,16.0,402.0,238.0,17.0,27.0,2.0,277.0,33.0,13.0,0.0,7.0,19.0,1.0,0.0,0.0,0.0,40.0,3.0,7.0,30.0"
+"Ethan Ampadu,wls WAL,""MF,DF"",Venezia,20,2000,29.0,26.0,2282.0,0.0,3.0,0.0,0.0,13.0,2.0,0.0,0.12,0.12,0.0,0.12,0.3,0.3,0.01,0.01,25.4,1.0,0.0,14.3,0.04,0.0,0.0,0.04,-0.3,-0.3,867.0,1165.0,74.4,15853.0,6627.0,385.0,445.0,86.5,359.0,443.0,81.0,103.0,209.0,49.3,15.0,96.0,12.0,7.0,112.0,1037.0,123.0,41.0,4.0,10.0,20.0,0.0,0.0,0.0,0.0,80.0,5.0,26.0,45.0,1.77,39.0,4.0,0.0,0.0,6.0,0.24,5.0,1.0,0.0,0.0,0.0,67.0,43.0,37.0,27.0,3.0,49.0,19.0,30.0,51.0,76.0,0.0,1472.0,125.0,587.0,706.0,194.0,12.0,1472.0,712.0,26.0,23.0,3.0,767.0,19.0,10.0,1.0,46.0,27.0,0.0,0.0,0.0,0.0,157.0,66.0,33.0,66.7"
+Sofyan Amrabat,ma MAR,MF,Fiorentina,24,1996,23.0,8.0,944.0,1.0,0.0,0.0,0.0,6.0,0.0,0.1,0.0,0.1,0.1,0.1,0.1,0.1,0.01,0.01,10.5,3.0,0.0,75.0,0.29,0.25,0.33,0.03,0.9,0.9,645.0,716.0,90.1,12507.0,3260.0,238.0,264.0,90.2,321.0,336.0,95.5,78.0,95.0,82.1,8.0,74.0,9.0,1.0,63.0,685.0,31.0,31.0,1.0,9.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,18.0,1.72,16.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,13.0,9.0,13.0,2.0,25.0,8.0,17.0,5.0,6.0,1.0,799.0,28.0,176.0,530.0,101.0,0.0,799.0,506.0,13.0,9.0,0.0,572.0,9.0,6.0,0.0,25.0,14.0,0.0,0.0,0.0,0.0,67.0,6.0,13.0,31.6
+Felipe Anderson,br BRA,FW,Lazio,28,1993,38.0,33.0,2888.0,6.0,8.0,0.0,0.0,2.0,0.0,0.19,0.25,0.44,0.19,0.44,6.2,6.2,0.19,0.19,32.1,16.0,0.0,36.4,0.5,0.14,0.38,0.14,-0.2,-0.2,1118.0,1436.0,77.9,16074.0,3918.0,652.0,765.0,85.2,341.0,420.0,81.2,60.0,106.0,56.6,50.0,60.0,61.0,13.0,123.0,1342.0,90.0,6.0,5.0,6.0,86.0,13.0,8.0,3.0,0.0,32.0,4.0,36.0,115.0,3.59,87.0,3.0,5.0,9.0,19.0,0.59,13.0,0.0,2.0,0.0,0.0,71.0,45.0,30.0,33.0,8.0,65.0,6.0,59.0,20.0,16.0,0.0,1869.0,31.0,204.0,846.0,850.0,130.0,1869.0,1091.0,142.0,101.0,48.0,1335.0,88.0,38.0,0.0,43.0,37.0,7.0,0.0,0.0,0.0,150.0,11.0,20.0,35.5
+Ebenezer Annan,gh GHA,DF,Bologna,18,2002,1.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,11.0,36.4,51.0,17.0,3.0,4.0,75.0,1.0,5.0,20.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,8.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,14.0,0.0,4.0,7.0,3.0,0.0,14.0,4.0,2.0,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Cristian Ansaldi,ar ARG,DF,Torino,34,1986,19.0,5.0,691.0,0.0,3.0,0.0,0.0,2.0,0.0,0.0,0.39,0.39,0.0,0.39,0.3,0.3,0.04,0.04,7.7,1.0,0.0,14.3,0.13,0.0,0.0,0.04,-0.3,-0.3,285.0,407.0,70.0,5390.0,2749.0,121.0,140.0,86.4,107.0,143.0,74.8,46.0,100.0,46.0,17.0,40.0,16.0,12.0,41.0,318.0,86.0,8.0,2.0,4.0,57.0,10.0,4.0,2.0,0.0,68.0,3.0,4.0,29.0,3.79,22.0,3.0,2.0,0.0,6.0,0.78,5.0,0.0,1.0,0.0,0.0,20.0,9.0,11.0,7.0,2.0,9.0,1.0,8.0,6.0,10.0,0.0,500.0,22.0,106.0,206.0,190.0,14.0,500.0,288.0,24.0,10.0,7.0,293.0,16.0,4.0,0.0,13.0,4.0,2.0,0.0,0.0,0.0,36.0,3.0,3.0,50.0
+Janis Antiste,fr FRA,FW,Spezia,18,2002,18.0,9.0,796.0,1.0,0.0,0.0,0.0,0.0,0.0,0.11,0.0,0.11,0.11,0.11,1.4,1.4,0.16,0.16,8.8,2.0,0.0,18.2,0.23,0.09,0.5,0.13,-0.4,-0.4,136.0,215.0,63.3,1856.0,397.0,79.0,112.0,70.5,40.0,64.0,62.5,6.0,11.0,54.5,6.0,6.0,6.0,3.0,7.0,195.0,19.0,0.0,1.0,0.0,12.0,0.0,0.0,0.0,0.0,6.0,1.0,6.0,14.0,1.58,12.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,11.0,6.0,6.0,6.0,7.0,1.0,6.0,4.0,6.0,0.0,312.0,6.0,63.0,119.0,135.0,39.0,312.0,156.0,10.0,6.0,8.0,192.0,24.0,7.0,0.0,15.0,6.0,5.0,0.0,0.0,0.0,36.0,16.0,19.0,45.7
+"Mattia Aramu,it ITA,""MF,FW"",Venezia,26,1995,32.0,25.0,2100.0,7.0,5.0,3.0,4.0,6.0,0.0,0.3,0.21,0.51,0.17,0.39,6.8,3.6,0.29,0.16,23.3,15.0,17.0,27.3,0.64,0.07,0.27,0.07,0.2,0.4,524.0,795.0,65.9,8928.0,2978.0,255.0,303.0,84.2,190.0,267.0,71.2,57.0,151.0,37.7,35.0,39.0,28.0,13.0,79.0,603.0,184.0,43.0,6.0,6.0,144.0,66.0,33.0,28.0,0.0,21.0,8.0,24.0,75.0,3.21,31.0,22.0,5.0,15.0,11.0,0.47,7.0,1.0,0.0,3.0,0.0,20.0,15.0,5.0,9.0,6.0,20.0,2.0,18.0,8.0,19.0,0.0,1042.0,22.0,103.0,438.0,514.0,36.0,1038.0,580.0,39.0,22.0,5.0,650.0,43.0,24.0,0.0,29.0,81.0,7.0,1.0,1.0,0.0,91.0,11.0,27.0,28.9"
+Marko Arnautović,at AUT,FW,Bologna,32,1989,33.0,32.0,2694.0,14.0,1.0,2.0,3.0,6.0,0.0,0.47,0.03,0.5,0.4,0.43,14.7,12.5,0.49,0.42,29.9,32.0,3.0,36.0,1.07,0.13,0.38,0.14,-0.7,-0.5,659.0,908.0,72.6,8749.0,1621.0,400.0,514.0,77.8,189.0,246.0,76.8,23.0,37.0,62.2,44.0,30.0,19.0,0.0,68.0,851.0,51.0,1.0,4.0,1.0,12.0,0.0,0.0,0.0,0.0,9.0,6.0,24.0,89.0,2.97,71.0,0.0,9.0,2.0,7.0,0.23,5.0,0.0,1.0,0.0,0.0,17.0,9.0,1.0,11.0,5.0,13.0,2.0,11.0,7.0,17.0,0.0,1203.0,19.0,72.0,525.0,618.0,154.0,1200.0,639.0,34.0,21.0,16.0,941.0,81.0,36.0,0.0,45.0,21.0,14.0,0.0,0.0,0.0,77.0,25.0,41.0,37.9
+Tolgay Arslan,de GER,MF,Udinese,30,1990,30.0,22.0,1658.0,1.0,0.0,0.0,0.0,9.0,0.0,0.05,0.0,0.05,0.05,0.05,1.2,1.2,0.06,0.06,18.4,9.0,1.0,39.1,0.49,0.04,0.11,0.05,-0.2,-0.2,532.0,677.0,78.6,8981.0,2491.0,221.0,267.0,82.8,242.0,290.0,83.4,43.0,69.0,62.3,15.0,79.0,9.0,2.0,86.0,649.0,28.0,19.0,2.0,2.0,33.0,7.0,2.0,5.0,0.0,1.0,0.0,13.0,48.0,2.6,30.0,5.0,4.0,7.0,8.0,0.43,3.0,0.0,2.0,3.0,0.0,35.0,20.0,15.0,16.0,4.0,17.0,4.0,13.0,13.0,23.0,1.0,866.0,34.0,166.0,499.0,216.0,19.0,866.0,463.0,35.0,29.0,4.0,518.0,27.0,15.0,0.0,28.0,36.0,0.0,1.0,0.0,0.0,140.0,6.0,8.0,42.9
+Arthur,br BRA,FW,Fiorentina,23,1998,14.0,8.0,749.0,2.0,2.0,0.0,0.0,1.0,0.0,0.24,0.24,0.48,0.24,0.48,4.2,4.2,0.5,0.5,8.3,8.0,0.0,34.8,0.96,0.09,0.25,0.18,-2.2,-2.2,110.0,142.0,77.5,1728.0,248.0,59.0,71.0,83.1,36.0,46.0,78.3,8.0,11.0,72.7,7.0,7.0,2.0,0.0,10.0,126.0,16.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,17.0,2.05,10.0,0.0,1.0,2.0,5.0,0.6,3.0,0.0,1.0,0.0,0.0,9.0,5.0,2.0,5.0,2.0,4.0,1.0,3.0,1.0,8.0,0.0,231.0,10.0,30.0,116.0,90.0,42.0,231.0,117.0,8.0,6.0,4.0,163.0,17.0,8.0,0.0,16.0,10.0,1.0,0.0,0.0,0.0,15.0,12.0,26.0,31.6
+Kristoffer Askildsen,no NOR,MF,Sampdoria,20,2001,19.0,7.0,754.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.04,0.04,8.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.4,-0.4,147.0,226.0,65.0,2158.0,804.0,83.0,107.0,77.6,43.0,64.0,67.2,10.0,26.0,38.5,2.0,20.0,1.0,0.0,17.0,215.0,8.0,5.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,2.0,3.0,5.0,7.0,0.84,5.0,0.0,0.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,18.0,6.0,7.0,11.0,0.0,14.0,7.0,7.0,15.0,15.0,0.0,323.0,36.0,101.0,160.0,66.0,8.0,323.0,138.0,5.0,4.0,1.0,157.0,9.0,5.0,0.0,17.0,14.0,0.0,0.0,0.0,1.0,43.0,21.0,10.0,67.7
+Kristjan Asllani,al ALB,MF,Empoli,19,2002,23.0,14.0,1353.0,1.0,1.0,0.0,0.0,2.0,0.0,0.07,0.07,0.13,0.07,0.13,0.8,0.8,0.05,0.05,15.0,6.0,2.0,35.3,0.4,0.06,0.17,0.04,0.2,0.2,638.0,779.0,81.9,12159.0,3636.0,251.0,279.0,90.0,290.0,319.0,90.9,85.0,158.0,53.8,7.0,65.0,4.0,0.0,62.0,718.0,60.0,36.0,1.0,6.0,29.0,19.0,9.0,7.0,0.0,4.0,1.0,7.0,30.0,2.0,22.0,3.0,3.0,2.0,3.0,0.2,3.0,0.0,0.0,0.0,0.0,18.0,9.0,9.0,8.0,1.0,16.0,7.0,9.0,19.0,15.0,1.0,897.0,48.0,274.0,498.0,130.0,5.0,897.0,573.0,10.0,11.0,2.0,596.0,18.0,7.0,0.0,13.0,23.0,0.0,0.0,0.0,0.0,122.0,4.0,6.0,40.0
+Emil Audero,it ITA,GK,Sampdoria,24,1997,29.0,29.0,2560.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,706.0,1005.0,70.2,22466.0,16952.0,105.0,105.0,100.0,288.0,297.0,97.0,311.0,593.0,52.4,2.0,20.0,1.0,0.0,0.0,698.0,300.0,88.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,5.0,0.18,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,17.0,2.0,1076.0,953.0,1074.0,2.0,0.0,0.0,1076.0,593.0,0.0,0.0,0.0,501.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,31.0,7.0,0.0,100.0
+Tommaso Augello,it ITA,DF,Sampdoria,26,1994,36.0,25.0,2395.0,1.0,1.0,0.0,0.0,0.0,0.0,0.04,0.04,0.08,0.04,0.08,0.4,0.4,0.01,0.01,26.6,2.0,0.0,28.6,0.08,0.14,0.5,0.06,0.6,0.6,1050.0,1368.0,76.8,18085.0,7464.0,472.0,539.0,87.6,478.0,593.0,80.6,78.0,157.0,49.7,17.0,60.0,33.0,15.0,90.0,1094.0,271.0,34.0,1.0,3.0,74.0,4.0,0.0,0.0,0.0,233.0,3.0,48.0,49.0,1.84,34.0,4.0,1.0,3.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,36.0,20.0,22.0,8.0,6.0,19.0,4.0,15.0,29.0,68.0,1.0,1614.0,96.0,616.0,633.0,384.0,14.0,1614.0,867.0,60.0,30.0,2.0,898.0,29.0,13.0,0.0,12.0,21.0,1.0,0.0,0.0,0.0,172.0,33.0,19.0,63.5
+Ramzi Aya,it ITA,DF,Salernitana,30,1990,2.0,2.0,135.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,1.5,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,19.0,27.0,70.4,339.0,130.0,8.0,8.0,100.0,9.0,15.0,60.0,2.0,4.0,50.0,0.0,1.0,0.0,0.0,1.0,20.0,7.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,33.0,4.0,11.0,18.0,4.0,0.0,33.0,16.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0
+Kaan Ayhan,tr TUR,DF,Sassuolo,26,1994,23.0,14.0,1354.0,1.0,0.0,0.0,0.0,2.0,1.0,0.07,0.0,0.07,0.07,0.07,0.3,0.3,0.02,0.02,15.0,1.0,2.0,20.0,0.07,0.2,1.0,0.06,0.7,0.7,790.0,871.0,90.7,15101.0,6145.0,297.0,314.0,94.6,386.0,408.0,94.6,98.0,130.0,75.4,2.0,61.0,3.0,0.0,68.0,824.0,43.0,37.0,3.0,12.0,2.0,0.0,0.0,0.0,0.0,3.0,4.0,2.0,8.0,0.53,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,12.0,14.0,6.0,0.0,20.0,14.0,6.0,13.0,57.0,0.0,999.0,115.0,477.0,504.0,21.0,5.0,999.0,574.0,19.0,3.0,0.0,692.0,2.0,0.0,0.0,13.0,5.0,1.0,0.0,1.0,0.0,68.0,24.0,34.0,41.4
+Milan Badelj,hr CRO,MF,Genoa,32,1989,34.0,34.0,2844.0,1.0,0.0,0.0,0.0,4.0,0.0,0.03,0.0,0.03,0.03,0.03,1.0,1.0,0.03,0.03,31.6,5.0,0.0,23.8,0.16,0.05,0.2,0.05,0.0,0.0,1230.0,1575.0,78.1,21537.0,7729.0,548.0,650.0,84.3,523.0,621.0,84.2,124.0,210.0,59.0,26.0,144.0,17.0,3.0,176.0,1522.0,43.0,39.0,4.0,12.0,10.0,0.0,0.0,0.0,0.0,4.0,10.0,28.0,72.0,2.28,64.0,0.0,1.0,2.0,2.0,0.06,0.0,0.0,0.0,1.0,0.0,64.0,37.0,25.0,30.0,9.0,39.0,7.0,32.0,85.0,43.0,0.0,1922.0,76.0,466.0,1186.0,297.0,25.0,1922.0,944.0,19.0,32.0,6.0,1119.0,47.0,26.0,0.0,39.0,19.0,0.0,1.0,0.0,0.0,258.0,34.0,28.0,54.8
+Nicola Bagnolini,it ITA,GK,Bologna,17,2004,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,4.0,0.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Issa Bah,lu LUX,FW,Venezia,19,2002,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,100.0,81.0,17.0,2.0,2.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,6.0,1.0,0.0,8.0,5.0,0.0,0.0,0.0,4.0,0.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+"Nedim Bajrami,al ALB,""MF,FW"",Empoli,22,1999,35.0,23.0,2054.0,6.0,5.0,3.0,3.0,3.0,0.0,0.26,0.22,0.48,0.13,0.35,6.4,4.0,0.28,0.18,22.8,18.0,8.0,35.3,0.79,0.06,0.17,0.08,-0.4,-1.0,621.0,898.0,69.2,9775.0,3179.0,327.0,387.0,84.5,220.0,286.0,76.9,50.0,149.0,33.6,54.0,49.0,44.0,8.0,117.0,730.0,163.0,32.0,5.0,4.0,156.0,97.0,40.0,47.0,0.0,8.0,5.0,31.0,104.0,4.55,66.0,21.0,5.0,1.0,7.0,0.31,5.0,1.0,1.0,0.0,0.0,21.0,14.0,5.0,13.0,3.0,11.0,0.0,11.0,3.0,8.0,0.0,1119.0,10.0,75.0,444.0,621.0,89.0,1116.0,639.0,72.0,39.0,27.0,742.0,55.0,34.0,0.0,16.0,14.0,7.0,0.0,0.0,0.0,91.0,0.0,14.0,0.0"
+Tiemoué Bakayoko,fr FRA,MF,Milan,26,1994,14.0,5.0,501.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,5.6,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.3,-0.3,269.0,304.0,88.5,4451.0,1013.0,140.0,156.0,89.7,91.0,98.0,92.9,32.0,36.0,88.9,3.0,27.0,2.0,0.0,26.0,303.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,7.0,1.26,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,13.0,9.0,7.0,3.0,8.0,1.0,7.0,9.0,10.0,2.0,374.0,16.0,83.0,236.0,59.0,4.0,374.0,184.0,3.0,7.0,0.0,242.0,3.0,4.0,0.0,12.0,10.0,0.0,0.0,1.0,0.0,33.0,16.0,8.0,66.7
+Tommaso Baldanzi,it ITA,FW,Empoli,18,2003,1.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,35.0,0.0,4.0,4.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,10.0,0.0,0.0,2.0,8.0,0.0,10.0,7.0,0.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Keita Baldé,sn SEN,FW,Cagliari,26,1995,26.0,14.0,1229.0,3.0,1.0,0.0,0.0,2.0,0.0,0.22,0.07,0.29,0.22,0.29,3.5,3.5,0.26,0.26,13.7,11.0,0.0,40.7,0.81,0.11,0.27,0.13,-0.5,-0.5,187.0,260.0,71.9,2522.0,464.0,106.0,128.0,82.8,51.0,74.0,68.9,10.0,13.0,76.9,10.0,14.0,6.0,0.0,22.0,248.0,12.0,1.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,23.0,1.68,14.0,0.0,4.0,3.0,2.0,0.15,1.0,0.0,0.0,1.0,0.0,8.0,4.0,1.0,5.0,2.0,6.0,0.0,6.0,4.0,6.0,0.0,411.0,6.0,23.0,183.0,209.0,51.0,411.0,234.0,14.0,12.0,4.0,305.0,49.0,10.0,0.0,27.0,30.0,9.0,1.0,1.0,0.0,33.0,20.0,46.0,30.3
+Fodé Ballo-Touré,sn SEN,DF,Milan,24,1997,10.0,5.0,446.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.06,0.06,5.0,1.0,0.0,50.0,0.2,0.0,0.0,0.14,-0.3,-0.3,230.0,272.0,84.6,3621.0,957.0,121.0,134.0,90.3,92.0,106.0,86.8,11.0,16.0,68.8,4.0,13.0,8.0,3.0,20.0,234.0,37.0,6.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,31.0,1.0,4.0,13.0,2.62,11.0,0.0,0.0,1.0,2.0,0.4,2.0,0.0,0.0,0.0,0.0,18.0,14.0,5.0,13.0,0.0,6.0,2.0,4.0,3.0,5.0,0.0,329.0,9.0,61.0,162.0,109.0,14.0,329.0,188.0,17.0,10.0,0.0,196.0,5.0,6.0,0.0,12.0,10.0,1.0,0.0,1.0,0.0,35.0,5.0,9.0,35.7
+Filippo Bandinelli,it ITA,MF,Empoli,26,1995,35.0,24.0,1955.0,2.0,3.0,0.0,0.0,10.0,0.0,0.09,0.14,0.23,0.09,0.23,2.2,2.2,0.1,0.1,21.7,11.0,0.0,31.4,0.51,0.06,0.18,0.06,-0.2,-0.2,537.0,733.0,73.3,8769.0,3104.0,273.0,315.0,86.7,197.0,256.0,77.0,46.0,96.0,47.9,32.0,60.0,41.0,13.0,104.0,700.0,26.0,4.0,4.0,6.0,68.0,6.0,1.0,1.0,0.0,14.0,7.0,21.0,58.0,2.67,46.0,4.0,3.0,1.0,4.0,0.18,4.0,0.0,0.0,0.0,0.0,33.0,20.0,10.0,17.0,6.0,22.0,5.0,17.0,10.0,37.0,2.0,976.0,54.0,213.0,423.0,354.0,43.0,976.0,564.0,57.0,42.0,10.0,627.0,40.0,25.0,0.0,53.0,18.0,5.0,0.0,1.0,0.0,117.0,12.0,31.0,27.9
+Mattia Bani,it ITA,DF,Genoa,27,1993,17.0,13.0,1211.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.08,0.08,13.5,1.0,0.0,11.1,0.07,0.0,0.0,0.12,-1.1,-1.1,333.0,469.0,71.0,6336.0,2698.0,123.0,151.0,81.5,166.0,201.0,82.6,36.0,96.0,37.5,3.0,16.0,0.0,0.0,24.0,425.0,42.0,34.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,5.0,0.37,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,13.0,17.0,6.0,0.0,19.0,11.0,8.0,20.0,76.0,0.0,642.0,129.0,383.0,240.0,25.0,18.0,642.0,248.0,1.0,1.0,0.0,262.0,8.0,0.0,0.0,14.0,19.0,0.0,0.0,0.0,0.0,70.0,42.0,27.0,60.9
+"Antonín Barák,cz CZE,""MF,FW"",Hellas Verona,26,1994,29.0,27.0,2340.0,11.0,4.0,4.0,4.0,4.0,0.0,0.42,0.15,0.58,0.27,0.42,8.9,5.7,0.34,0.22,26.0,20.0,2.0,42.6,0.77,0.15,0.35,0.12,2.1,1.3,876.0,1107.0,79.1,11982.0,3508.0,520.0,610.0,85.2,275.0,331.0,83.1,33.0,52.0,63.5,28.0,81.0,22.0,1.0,147.0,1081.0,17.0,5.0,2.0,4.0,13.0,0.0,0.0,0.0,0.0,6.0,9.0,37.0,70.0,2.69,57.0,1.0,6.0,2.0,9.0,0.35,6.0,0.0,1.0,1.0,0.0,18.0,8.0,9.0,8.0,1.0,32.0,5.0,27.0,6.0,26.0,0.0,1376.0,40.0,185.0,723.0,488.0,91.0,1372.0,851.0,68.0,51.0,16.0,1039.0,42.0,54.0,0.0,27.0,17.0,3.0,1.0,0.0,0.0,156.0,41.0,68.0,37.6"
+Francesco Bardi,it ITA,GK,Bologna,29,1992,2.0,2.0,177.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,49.0,67.3,748.0,587.0,10.0,10.0,100.0,12.0,12.0,100.0,10.0,25.0,40.0,0.0,0.0,0.0,0.0,0.0,30.0,18.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,54.0,49.0,54.0,0.0,0.0,0.0,54.0,25.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+Nicolò Barella,it ITA,MF,Inter,24,1997,36.0,36.0,2913.0,3.0,11.0,0.0,0.0,9.0,0.0,0.09,0.34,0.43,0.09,0.43,4.7,4.7,0.14,0.14,32.4,12.0,0.0,17.6,0.37,0.04,0.25,0.07,-1.7,-1.7,1554.0,1876.0,82.8,24817.0,7894.0,824.0,916.0,90.0,552.0,641.0,86.1,125.0,191.0,65.4,64.0,191.0,84.0,16.0,231.0,1836.0,31.0,17.0,11.0,15.0,66.0,0.0,0.0,0.0,0.0,14.0,9.0,44.0,140.0,4.32,116.0,0.0,6.0,6.0,21.0,0.65,18.0,0.0,1.0,1.0,0.0,63.0,42.0,17.0,35.0,11.0,26.0,2.0,24.0,21.0,8.0,2.0,2199.0,28.0,344.0,1133.0,757.0,95.0,2199.0,1427.0,114.0,69.0,15.0,1703.0,56.0,38.0,0.0,30.0,52.0,4.0,1.0,0.0,0.0,190.0,22.0,24.0,47.8
+"Musa Barrow,gm GAM,""FW,MF"",Bologna,22,1998,34.0,25.0,2134.0,6.0,6.0,0.0,0.0,0.0,0.0,0.25,0.25,0.51,0.25,0.51,5.9,5.9,0.25,0.25,23.7,27.0,3.0,38.0,1.14,0.08,0.22,0.08,0.1,0.1,698.0,923.0,75.6,11505.0,2721.0,379.0,423.0,89.6,206.0,277.0,74.4,79.0,160.0,49.4,45.0,50.0,39.0,14.0,82.0,821.0,99.0,26.0,7.0,15.0,112.0,59.0,40.0,5.0,0.0,10.0,3.0,15.0,87.0,3.67,65.0,11.0,4.0,4.0,10.0,0.42,8.0,1.0,1.0,0.0,0.0,12.0,4.0,4.0,4.0,4.0,20.0,1.0,19.0,6.0,8.0,0.0,1193.0,6.0,118.0,495.0,600.0,78.0,1193.0,753.0,61.0,51.0,22.0,911.0,63.0,52.0,0.0,10.0,25.0,6.0,0.0,0.0,0.0,93.0,15.0,48.0,23.8"
+"Daniele Baselli,it ITA,""MF,FW"",Torino,29,1992,6.0,0.0,150.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.46,0.46,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.75,-0.7,-0.7,64.0,89.0,71.9,1060.0,329.0,33.0,46.0,71.7,22.0,29.0,75.9,6.0,8.0,75.0,1.0,5.0,0.0,0.0,10.0,82.0,7.0,3.0,0.0,0.0,5.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,2.0,1.23,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,102.0,4.0,25.0,45.0,33.0,3.0,102.0,49.0,1.0,5.0,0.0,62.0,3.0,0.0,0.0,3.0,4.0,1.0,0.0,0.0,0.0,11.0,2.0,6.0,25.0"
+Daniele Baselli,it ITA,MF,Cagliari,29,1992,9.0,2.0,290.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.31,0.31,0.0,0.31,0.5,0.5,0.16,0.16,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.5,-0.5,110.0,151.0,72.8,1828.0,716.0,60.0,73.0,82.2,33.0,41.0,80.5,13.0,28.0,46.4,8.0,11.0,4.0,1.0,14.0,131.0,20.0,9.0,1.0,0.0,17.0,10.0,7.0,3.0,0.0,1.0,0.0,3.0,15.0,4.69,8.0,3.0,2.0,0.0,1.0,0.31,0.0,1.0,0.0,0.0,0.0,6.0,5.0,3.0,1.0,2.0,2.0,0.0,2.0,2.0,5.0,0.0,189.0,5.0,40.0,89.0,62.0,2.0,189.0,103.0,4.0,6.0,0.0,107.0,5.0,8.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,24.0,2.0,3.0,40.0
+Toma Bašić,hr CRO,MF,Lazio,24,1996,29.0,9.0,982.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,1.6,1.6,0.15,0.15,10.9,11.0,2.0,68.8,1.01,0.0,0.0,0.12,-1.6,-1.6,386.0,451.0,85.6,5589.0,990.0,215.0,236.0,91.1,136.0,156.0,87.2,17.0,28.0,60.7,6.0,21.0,1.0,0.0,26.0,436.0,14.0,6.0,0.0,1.0,15.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,9.0,0.83,5.0,1.0,2.0,0.0,3.0,0.28,1.0,1.0,1.0,0.0,0.0,12.0,8.0,3.0,9.0,0.0,13.0,4.0,9.0,4.0,21.0,0.0,570.0,27.0,95.0,331.0,148.0,24.0,570.0,318.0,18.0,15.0,2.0,404.0,17.0,6.0,0.0,13.0,6.0,0.0,0.0,0.0,0.0,41.0,8.0,10.0,44.4
+Alessandro Bastoni,it ITA,DF,Inter,22,1999,31.0,29.0,2311.0,1.0,2.0,0.0,0.0,4.0,0.0,0.04,0.08,0.12,0.04,0.12,0.3,0.3,0.01,0.01,25.7,2.0,0.0,22.2,0.08,0.11,0.5,0.04,0.7,0.7,1599.0,1810.0,88.3,29365.0,9419.0,666.0,723.0,92.1,720.0,777.0,92.7,177.0,237.0,74.7,14.0,120.0,16.0,5.0,132.0,1684.0,120.0,58.0,2.0,29.0,29.0,2.0,0.0,0.0,0.0,30.0,6.0,25.0,45.0,1.75,39.0,0.0,2.0,0.0,5.0,0.19,5.0,0.0,0.0,0.0,0.0,44.0,25.0,28.0,13.0,3.0,22.0,12.0,10.0,35.0,59.0,1.0,2036.0,242.0,881.0,956.0,218.0,18.0,2036.0,1280.0,30.0,30.0,5.0,1448.0,21.0,5.0,0.0,30.0,28.0,0.0,0.0,1.0,0.0,152.0,43.0,26.0,62.3
+"Simone Bastoni,it ITA,""MF,DF"",Spezia,24,1996,31.0,26.0,2288.0,3.0,3.0,0.0,0.0,5.0,1.0,0.12,0.12,0.24,0.12,0.24,1.5,1.5,0.06,0.06,25.4,6.0,0.0,21.4,0.24,0.11,0.5,0.05,1.5,1.5,876.0,1224.0,71.6,15095.0,6360.0,439.0,492.0,89.2,302.0,405.0,74.6,111.0,232.0,47.8,47.0,92.0,32.0,13.0,117.0,1015.0,201.0,55.0,8.0,13.0,113.0,38.0,14.0,20.0,0.0,108.0,8.0,37.0,80.0,3.15,49.0,22.0,4.0,1.0,5.0,0.2,3.0,1.0,1.0,0.0,0.0,52.0,34.0,28.0,17.0,7.0,38.0,11.0,27.0,30.0,31.0,0.0,1546.0,68.0,403.0,716.0,461.0,28.0,1546.0,804.0,50.0,45.0,6.0,887.0,61.0,32.0,0.0,30.0,35.0,1.0,0.0,0.0,0.0,185.0,25.0,13.0,65.8"
+Rodrigo Becão,br BRA,DF,Udinese,25,1996,35.0,35.0,3130.0,2.0,1.0,0.0,0.0,10.0,0.0,0.06,0.03,0.09,0.06,0.09,1.0,1.0,0.03,0.03,34.8,5.0,0.0,26.3,0.14,0.11,0.4,0.05,1.0,1.0,1117.0,1428.0,78.2,18775.0,7448.0,515.0,580.0,88.8,493.0,593.0,83.1,77.0,189.0,40.7,10.0,52.0,5.0,1.0,74.0,1270.0,157.0,49.0,1.0,3.0,17.0,0.0,0.0,0.0,0.0,105.0,1.0,16.0,27.0,0.78,20.0,3.0,0.0,3.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,81.0,46.0,49.0,30.0,2.0,45.0,20.0,25.0,42.0,89.0,3.0,1755.0,200.0,852.0,744.0,175.0,42.0,1755.0,848.0,23.0,19.0,3.0,977.0,18.0,7.0,0.0,57.0,45.0,4.0,0.0,1.0,0.0,193.0,63.0,32.0,66.3
+"Valon Behrami,ch SUI,""MF,FW"",Genoa,36,1985,10.0,2.0,311.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.1,-0.1,44.0,66.0,66.7,655.0,184.0,20.0,28.0,71.4,20.0,27.0,74.1,2.0,5.0,40.0,1.0,5.0,1.0,0.0,8.0,63.0,3.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,0.0,3.0,5.0,1.45,4.0,0.0,1.0,0.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,2.0,1.0,4.0,1.0,3.0,1.0,4.0,0.0,90.0,9.0,20.0,53.0,17.0,3.0,90.0,42.0,2.0,0.0,1.0,44.0,6.0,3.0,0.0,8.0,5.0,0.0,0.0,0.0,0.0,13.0,0.0,7.0,0.0"
+Vid Belec,si SVN,GK,Salernitana,31,1990,23.0,21.0,1938.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,367.0,575.0,63.8,13133.0,11059.0,48.0,48.0,100.0,130.0,134.0,97.0,187.0,389.0,48.1,0.0,16.0,1.0,0.0,0.0,329.0,245.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,629.0,562.0,628.0,1.0,0.0,0.0,629.0,308.0,0.0,0.0,0.0,180.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,14.0,1.0,0.0,100.0
+"Raoul Bellanova,it ITA,""DF,FW"",Cagliari,21,2000,31.0,27.0,2496.0,1.0,2.0,0.0,0.0,3.0,0.0,0.04,0.07,0.11,0.04,0.11,1.7,1.7,0.06,0.06,27.7,5.0,0.0,21.7,0.18,0.04,0.2,0.08,-0.7,-0.7,667.0,933.0,71.5,11441.0,2944.0,335.0,407.0,82.3,241.0,333.0,72.4,74.0,127.0,58.3,32.0,40.0,27.0,21.0,46.0,837.0,95.0,4.0,0.0,6.0,96.0,0.0,0.0,0.0,0.0,91.0,1.0,29.0,66.0,2.38,54.0,1.0,2.0,5.0,8.0,0.29,8.0,0.0,0.0,0.0,0.0,29.0,15.0,14.0,12.0,3.0,39.0,8.0,31.0,21.0,51.0,0.0,1228.0,68.0,328.0,496.0,424.0,53.0,1228.0,720.0,81.0,38.0,10.0,755.0,42.0,22.0,0.0,10.0,35.0,2.0,0.0,1.0,0.0,123.0,15.0,26.0,36.6"
+Andrea Belotti,it ITA,FW,Torino,27,1993,22.0,16.0,1371.0,8.0,1.0,3.0,3.0,1.0,0.0,0.53,0.07,0.59,0.33,0.39,7.9,5.6,0.52,0.36,15.2,17.0,3.0,30.9,1.12,0.09,0.29,0.1,0.1,-0.6,252.0,369.0,68.3,3263.0,432.0,167.0,209.0,79.9,64.0,89.0,71.9,8.0,18.0,44.4,10.0,18.0,3.0,0.0,24.0,341.0,25.0,2.0,2.0,4.0,13.0,0.0,0.0,0.0,0.0,1.0,3.0,17.0,38.0,2.49,18.0,2.0,7.0,9.0,4.0,0.26,1.0,0.0,0.0,2.0,0.0,7.0,3.0,2.0,2.0,3.0,12.0,4.0,8.0,2.0,9.0,0.0,551.0,14.0,27.0,236.0,293.0,83.0,548.0,318.0,25.0,10.0,10.0,461.0,59.0,28.0,0.0,26.0,51.0,16.0,1.0,0.0,0.0,41.0,55.0,77.0,41.7
+"Marco Benassi,it ITA,""DF,MF"",Fiorentina,26,1994,6.0,1.0,158.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.05,0.05,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,108.0,133.0,81.2,1918.0,573.0,48.0,55.0,87.3,48.0,59.0,81.4,12.0,16.0,75.0,1.0,9.0,1.0,0.0,11.0,116.0,17.0,4.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,12.0,0.0,4.0,1.0,0.56,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,3.0,0.0,3.0,3.0,3.0,0.0,146.0,6.0,45.0,65.0,37.0,2.0,146.0,75.0,3.0,0.0,1.0,97.0,1.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,9.0,3.0,5.0,37.5"
+Marco Benassi,it ITA,MF,Empoli,26,1994,12.0,3.0,382.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.21,0.21,4.2,3.0,0.0,42.9,0.71,0.0,0.0,0.13,-0.9,-0.9,117.0,174.0,67.2,1907.0,598.0,57.0,76.0,75.0,49.0,64.0,76.6,7.0,15.0,46.7,4.0,14.0,5.0,0.0,23.0,161.0,13.0,1.0,1.0,1.0,13.0,1.0,0.0,1.0,0.0,9.0,0.0,10.0,7.0,1.65,5.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,3.0,2.0,1.0,4.0,0.0,4.0,3.0,6.0,0.0,216.0,9.0,27.0,114.0,78.0,15.0,216.0,119.0,13.0,7.0,2.0,145.0,5.0,1.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,14.0,7.0,14.0,33.3
+"Filip Benković,hr CRO,""DF,FW"",Udinese,24,1997,2.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.73,0.73,0.1,1.0,0.0,100.0,11.25,0.0,0.0,0.06,-0.1,-0.1,4.0,5.0,80.0,63.0,15.0,2.0,3.0,66.7,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,3.0,2.0,1.0,1.0,6.0,2.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,66.7"
+Ismaël Bennacer,dz ALG,MF,Milan,23,1997,31.0,15.0,1525.0,2.0,1.0,0.0,0.0,7.0,0.0,0.12,0.06,0.18,0.12,0.18,0.7,0.7,0.04,0.04,16.9,6.0,2.0,37.5,0.35,0.13,0.33,0.04,1.3,1.3,950.0,1102.0,86.2,16910.0,5262.0,417.0,454.0,91.9,394.0,442.0,89.1,111.0,154.0,72.1,22.0,119.0,21.0,2.0,140.0,1037.0,61.0,41.0,4.0,12.0,24.0,15.0,4.0,5.0,0.0,5.0,4.0,9.0,61.0,3.6,44.0,7.0,1.0,3.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,44.0,30.0,22.0,15.0,7.0,20.0,4.0,16.0,25.0,15.0,0.0,1293.0,44.0,228.0,838.0,247.0,12.0,1293.0,790.0,28.0,27.0,3.0,881.0,29.0,26.0,0.0,25.0,44.0,0.0,0.0,0.0,0.0,153.0,15.0,18.0,45.5
+Rodrigo Bentancur,uy URU,MF,Juventus,24,1997,19.0,13.0,1155.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.08,0.08,0.0,0.08,0.7,0.7,0.06,0.06,12.8,1.0,0.0,12.5,0.08,0.0,0.0,0.09,-0.7,-0.7,659.0,758.0,86.9,10862.0,2857.0,315.0,346.0,91.0,284.0,310.0,91.6,40.0,59.0,67.8,11.0,81.0,3.0,0.0,79.0,746.0,11.0,10.0,2.0,2.0,4.0,0.0,0.0,0.0,0.0,1.0,1.0,11.0,36.0,2.81,30.0,1.0,3.0,0.0,3.0,0.23,2.0,0.0,1.0,0.0,0.0,32.0,18.0,11.0,18.0,3.0,15.0,2.0,13.0,26.0,15.0,1.0,887.0,27.0,164.0,578.0,155.0,10.0,887.0,521.0,22.0,17.0,2.0,628.0,17.0,13.0,0.0,25.0,8.0,0.0,0.0,0.0,0.0,86.0,20.0,20.0,50.0
+Alessandro Berardi,it ITA,GK,Hellas Verona,30,1991,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,30.0,43.3,437.0,298.0,0.0,0.0,0.0,8.0,8.0,100.0,5.0,22.0,22.7,0.0,0.0,0.0,0.0,0.0,21.0,9.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,26.0,32.0,0.0,0.0,0.0,32.0,22.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Domenico Berardi,it ITA,FW,Sassuolo,26,1994,33.0,33.0,2819.0,15.0,14.0,6.0,6.0,9.0,0.0,0.48,0.45,0.93,0.29,0.73,11.3,6.5,0.36,0.21,31.3,40.0,8.0,38.5,1.28,0.09,0.23,0.06,3.7,2.5,996.0,1402.0,71.0,18710.0,5463.0,436.0,526.0,82.9,380.0,504.0,75.4,147.0,230.0,63.9,82.0,102.0,65.0,7.0,183.0,1284.0,115.0,43.0,15.0,37.0,102.0,59.0,39.0,3.0,1.0,13.0,3.0,51.0,170.0,5.42,126.0,22.0,3.0,8.0,22.0,0.7,17.0,2.0,0.0,2.0,0.0,32.0,19.0,9.0,16.0,7.0,39.0,2.0,37.0,31.0,23.0,0.0,1804.0,31.0,184.0,794.0,859.0,115.0,1798.0,1172.0,77.0,67.0,26.0,1331.0,63.0,43.0,0.0,53.0,76.0,11.0,2.0,0.0,0.0,151.0,18.0,18.0,50.0
+Bartosz Bereszyński,pl POL,DF,Sampdoria,29,1992,35.0,35.0,2946.0,0.0,3.0,0.0,0.0,12.0,0.0,0.0,0.09,0.09,0.0,0.09,0.5,0.5,0.01,0.01,32.7,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,1251.0,1606.0,77.9,18173.0,7708.0,710.0,808.0,87.9,390.0,506.0,77.1,78.0,159.0,49.1,20.0,77.0,28.0,12.0,105.0,1322.0,279.0,45.0,0.0,7.0,60.0,1.0,0.0,0.0,0.0,233.0,5.0,43.0,54.0,1.65,39.0,7.0,2.0,2.0,7.0,0.21,4.0,2.0,0.0,0.0,0.0,64.0,38.0,34.0,25.0,5.0,38.0,12.0,26.0,42.0,73.0,1.0,1939.0,113.0,684.0,846.0,426.0,31.0,1939.0,1011.0,52.0,32.0,5.0,1076.0,38.0,17.0,0.0,34.0,37.0,0.0,0.0,0.0,0.0,191.0,45.0,20.0,69.2
+Etrit Berisha,al ALB,GK,Torino,32,1989,10.0,10.0,900.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,176.0,319.0,55.2,5860.0,4579.0,23.0,24.0,95.8,79.0,79.0,100.0,74.0,215.0,34.4,0.0,6.0,0.0,0.0,0.0,211.0,107.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,345.0,289.0,344.0,1.0,0.0,0.0,345.0,183.0,0.0,0.0,0.0,118.0,0.0,0.0,0.0,1.0,3.0,0.0,0.0,1.0,0.0,18.0,0.0,0.0,0.0
+"Federico Bernardeschi,it ITA,""MF,FW"",Juventus,27,1994,28.0,16.0,1475.0,1.0,3.0,0.0,0.0,5.0,0.0,0.06,0.18,0.24,0.06,0.24,1.5,1.5,0.09,0.09,16.4,7.0,0.0,21.2,0.43,0.03,0.14,0.05,-0.5,-0.5,452.0,592.0,76.4,7374.0,1931.0,241.0,274.0,88.0,151.0,186.0,81.2,44.0,82.0,53.7,17.0,31.0,22.0,2.0,73.0,537.0,52.0,14.0,4.0,11.0,51.0,26.0,7.0,9.0,1.0,12.0,3.0,17.0,62.0,3.78,40.0,5.0,8.0,3.0,4.0,0.24,3.0,0.0,1.0,0.0,0.0,16.0,10.0,7.0,4.0,5.0,12.0,4.0,8.0,5.0,15.0,0.0,776.0,25.0,135.0,295.0,359.0,44.0,776.0,468.0,40.0,31.0,19.0,548.0,35.0,14.0,0.0,16.0,27.0,4.0,0.0,0.0,0.0,82.0,7.0,17.0,29.2"
+"Nicolò Bertola,it ITA,""MF,DF"",Spezia,18,2003,2.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.4,1.0,0.0,100.0,2.57,0.0,0.0,0.01,0.0,0.0,6.0,11.0,54.5,102.0,51.0,1.0,3.0,33.3,3.0,5.0,60.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,21.0,3.0,15.0,4.0,2.0,0.0,21.0,5.0,1.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0"
+Daniel Bessa,it ITA,MF,Hellas Verona,28,1993,24.0,5.0,768.0,1.0,1.0,0.0,0.0,5.0,1.0,0.12,0.12,0.23,0.12,0.23,0.4,0.4,0.04,0.04,8.5,2.0,0.0,20.0,0.23,0.1,0.5,0.04,0.6,0.6,383.0,479.0,80.0,5973.0,1903.0,186.0,214.0,86.9,143.0,161.0,88.8,29.0,59.0,49.2,10.0,45.0,16.0,0.0,68.0,453.0,24.0,12.0,0.0,2.0,17.0,8.0,3.0,4.0,0.0,3.0,2.0,11.0,26.0,3.05,25.0,0.0,1.0,0.0,4.0,0.47,4.0,0.0,0.0,0.0,0.0,7.0,2.0,3.0,3.0,1.0,13.0,3.0,10.0,5.0,11.0,0.0,565.0,16.0,104.0,303.0,164.0,13.0,565.0,327.0,16.0,12.0,3.0,377.0,8.0,14.0,1.0,21.0,12.0,2.0,0.0,0.0,0.0,84.0,8.0,7.0,53.3
+Beto,gw GNB,FW,Udinese,23,1998,28.0,24.0,2173.0,11.0,0.0,0.0,0.0,1.0,0.0,0.46,0.0,0.46,0.46,0.46,12.7,12.7,0.53,0.53,24.1,26.0,0.0,40.6,1.08,0.17,0.42,0.2,-1.7,-1.7,247.0,362.0,68.2,3463.0,584.0,151.0,204.0,74.0,71.0,109.0,65.1,12.0,17.0,70.6,20.0,23.0,11.0,1.0,26.0,331.0,29.0,0.0,1.0,5.0,2.0,0.0,0.0,0.0,0.0,3.0,2.0,5.0,49.0,2.03,31.0,0.0,9.0,2.0,3.0,0.12,1.0,0.0,2.0,0.0,0.0,21.0,6.0,2.0,14.0,5.0,16.0,1.0,15.0,5.0,25.0,1.0,719.0,27.0,47.0,352.0,338.0,111.0,719.0,383.0,31.0,33.0,16.0,491.0,104.0,54.0,0.0,52.0,24.0,13.0,0.0,0.0,0.0,54.0,73.0,123.0,37.2
+Luis Binks,eng ENG,DF,Bologna,19,2001,15.0,7.0,646.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,7.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,271.0,338.0,80.2,6017.0,2462.0,64.0,90.0,71.1,155.0,167.0,92.8,51.0,68.0,75.0,1.0,12.0,0.0,0.0,17.0,317.0,19.0,18.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,7.0,1.0,0.0,6.0,5.0,1.0,17.0,33.0,1.0,415.0,65.0,223.0,182.0,14.0,4.0,415.0,187.0,1.0,2.0,0.0,229.0,1.0,2.0,0.0,7.0,6.0,0.0,0.0,0.0,0.0,35.0,19.0,13.0,59.4
+Cristiano Biraghi,it ITA,DF,Fiorentina,28,1992,37.0,37.0,3153.0,4.0,1.0,1.0,2.0,5.0,1.0,0.11,0.03,0.14,0.09,0.11,3.1,1.5,0.09,0.04,35.0,16.0,14.0,44.4,0.46,0.08,0.19,0.04,0.9,1.5,2080.0,2600.0,80.0,39364.0,14210.0,846.0,918.0,92.2,942.0,1095.0,86.0,263.0,480.0,54.8,72.0,145.0,64.0,38.0,171.0,2017.0,575.0,130.0,0.0,34.0,278.0,121.0,18.0,82.0,0.0,324.0,8.0,55.0,126.0,3.59,64.0,55.0,6.0,1.0,8.0,0.23,5.0,3.0,0.0,0.0,0.0,37.0,24.0,17.0,15.0,5.0,28.0,10.0,18.0,19.0,31.0,1.0,2799.0,72.0,837.0,1122.0,862.0,46.0,2797.0,1460.0,61.0,52.0,8.0,1793.0,25.0,6.0,1.0,28.0,38.0,7.0,0.0,0.0,1.0,173.0,4.0,16.0,20.0
+Davide Biraschi,it ITA,DF,Genoa,27,1994,14.0,11.0,930.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,322.0,449.0,71.7,6059.0,2526.0,116.0,144.0,80.6,170.0,213.0,79.8,31.0,74.0,41.9,3.0,38.0,6.0,2.0,42.0,394.0,53.0,19.0,0.0,3.0,14.0,0.0,0.0,0.0,0.0,24.0,2.0,7.0,5.0,0.48,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,16.0,19.0,9.0,3.0,16.0,9.0,7.0,16.0,26.0,0.0,571.0,72.0,259.0,277.0,45.0,2.0,571.0,291.0,15.0,10.0,2.0,300.0,7.0,2.0,0.0,12.0,11.0,1.0,0.0,0.0,0.0,53.0,21.0,16.0,56.8
+Bjarki Bjarkason,is ISL,MF,Venezia,21,2000,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,6.0,2.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,1.0,1.0,0.0,3.0,3.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Jeremie Boga,ci CIV,""FW,MF"",Atalanta,24,1997,15.0,7.0,764.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.12,0.12,8.5,5.0,0.0,23.8,0.59,0.0,0.0,0.05,-1.0,-1.0,333.0,419.0,79.5,4412.0,1219.0,222.0,260.0,85.4,68.0,86.0,79.1,23.0,34.0,67.6,20.0,26.0,26.0,1.0,53.0,390.0,28.0,4.0,2.0,2.0,24.0,16.0,9.0,4.0,0.0,8.0,1.0,11.0,51.0,6.01,32.0,6.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,0.0,4.0,3.0,6.0,0.0,6.0,1.0,3.0,1.0,531.0,5.0,44.0,180.0,315.0,59.0,531.0,366.0,64.0,40.0,27.0,406.0,21.0,18.0,0.0,1.0,17.0,3.0,0.0,0.0,0.0,37.0,3.0,6.0,33.3"
+"Jeremie Boga,ci CIV,""FW,MF"",Sassuolo,24,1997,12.0,8.0,670.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.27,0.27,0.0,0.27,1.0,1.0,0.13,0.13,7.4,5.0,0.0,33.3,0.67,0.0,0.0,0.07,-1.0,-1.0,216.0,266.0,81.2,2738.0,478.0,150.0,170.0,88.2,56.0,69.0,81.2,3.0,5.0,60.0,7.0,10.0,3.0,0.0,17.0,263.0,2.0,0.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,1.0,1.0,7.0,24.0,3.22,16.0,0.0,1.0,2.0,4.0,0.54,2.0,0.0,0.0,1.0,0.0,7.0,4.0,1.0,2.0,4.0,3.0,0.0,3.0,2.0,1.0,1.0,353.0,1.0,44.0,162.0,159.0,34.0,353.0,249.0,46.0,27.0,22.0,292.0,19.0,7.0,0.0,1.0,9.0,2.0,1.0,0.0,0.0,25.0,2.0,5.0,28.6"
+Luka Bogdan,hr CRO,DF,Salernitana,25,1996,6.0,4.0,399.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,4.4,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,93.0,134.0,69.4,1614.0,687.0,37.0,49.0,75.5,49.0,59.0,83.1,5.0,20.0,25.0,0.0,5.0,0.0,0.0,6.0,120.0,13.0,6.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,7.0,1.0,2.0,1.0,0.23,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,6.0,0.0,0.0,3.0,2.0,1.0,6.0,21.0,0.0,178.0,30.0,113.0,61.0,7.0,3.0,178.0,84.0,1.0,3.0,0.0,82.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,18.0,6.0,8.0,42.9
+Emil Bohinen,no NOR,MF,Salernitana,22,1999,11.0,8.0,699.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.13,0.13,0.0,0.13,0.1,0.1,0.02,0.02,7.8,3.0,0.0,75.0,0.39,0.0,0.0,0.03,-0.1,-0.1,231.0,294.0,78.6,3599.0,948.0,136.0,156.0,87.2,63.0,79.0,79.7,23.0,40.0,57.5,11.0,15.0,1.0,0.0,20.0,261.0,33.0,22.0,0.0,2.0,20.0,11.0,0.0,11.0,0.0,0.0,0.0,5.0,25.0,3.22,15.0,7.0,0.0,1.0,1.0,0.13,0.0,1.0,0.0,0.0,0.0,15.0,9.0,4.0,9.0,2.0,17.0,3.0,14.0,12.0,14.0,0.0,402.0,26.0,92.0,226.0,90.0,7.0,402.0,179.0,14.0,10.0,2.0,195.0,11.0,9.0,0.0,16.0,13.0,1.0,0.0,0.0,0.0,61.0,6.0,13.0,31.6
+Giacomo Bonaventura,it ITA,MF,Fiorentina,31,1989,31.0,28.0,2266.0,4.0,4.0,0.0,0.0,8.0,1.0,0.16,0.16,0.32,0.16,0.32,4.7,4.7,0.19,0.19,25.2,14.0,1.0,30.4,0.56,0.09,0.29,0.11,-0.7,-0.7,999.0,1206.0,82.8,16878.0,3407.0,491.0,547.0,89.8,393.0,465.0,84.5,93.0,133.0,69.9,33.0,87.0,22.0,1.0,131.0,1153.0,47.0,21.0,7.0,14.0,36.0,17.0,0.0,12.0,0.0,4.0,6.0,18.0,83.0,3.3,69.0,1.0,5.0,5.0,13.0,0.52,9.0,0.0,2.0,2.0,0.0,33.0,17.0,12.0,16.0,5.0,20.0,2.0,18.0,14.0,9.0,1.0,1419.0,19.0,213.0,736.0,490.0,73.0,1419.0,838.0,76.0,65.0,18.0,1087.0,37.0,19.0,1.0,31.0,49.0,2.0,2.0,0.0,0.0,141.0,16.0,16.0,50.0
+"Federico Bonazzoli,it ITA,""FW,MF"",Salernitana,24,1997,32.0,19.0,1866.0,10.0,0.0,2.0,2.0,6.0,0.0,0.48,0.0,0.48,0.39,0.39,7.5,5.9,0.36,0.28,20.7,20.0,1.0,36.4,0.96,0.15,0.4,0.11,2.5,2.1,407.0,547.0,74.4,7100.0,1145.0,198.0,245.0,80.8,140.0,172.0,81.4,50.0,74.0,67.6,10.0,34.0,10.0,2.0,46.0,475.0,70.0,6.0,1.0,19.0,23.0,11.0,6.0,4.0,0.0,2.0,2.0,19.0,41.0,1.98,26.0,0.0,6.0,6.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,24.0,12.0,9.0,8.0,7.0,17.0,1.0,16.0,6.0,7.0,0.0,781.0,5.0,65.0,403.0,325.0,57.0,779.0,463.0,25.0,23.0,1.0,555.0,60.0,25.0,0.0,31.0,66.0,6.0,0.0,0.0,0.0,76.0,11.0,24.0,31.4"
+Kevin Bonifazi,it ITA,DF,Bologna,25,1996,22.0,14.0,1210.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.05,0.05,13.4,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.7,-0.7,564.0,696.0,81.0,10846.0,4146.0,221.0,242.0,91.3,263.0,299.0,88.0,73.0,137.0,53.3,4.0,40.0,2.0,0.0,51.0,662.0,34.0,27.0,2.0,6.0,3.0,0.0,0.0,0.0,0.0,5.0,0.0,5.0,12.0,0.89,9.0,0.0,2.0,0.0,2.0,0.15,1.0,0.0,1.0,0.0,0.0,25.0,16.0,16.0,7.0,2.0,22.0,7.0,15.0,16.0,35.0,0.0,833.0,95.0,384.0,404.0,61.0,10.0,833.0,458.0,18.0,16.0,0.0,505.0,10.0,4.0,1.0,15.0,10.0,0.0,0.0,1.0,1.0,97.0,34.0,18.0,65.4
+Leonardo Bonucci,it ITA,DF,Juventus,34,1987,24.0,22.0,2005.0,5.0,0.0,3.0,3.0,1.0,0.0,0.22,0.0,0.22,0.09,0.09,4.7,2.3,0.21,0.11,22.3,3.0,0.0,21.4,0.13,0.14,0.67,0.17,0.3,-0.3,1136.0,1317.0,86.3,25899.0,11106.0,256.0,279.0,91.8,653.0,697.0,93.7,218.0,307.0,71.0,11.0,78.0,3.0,0.0,66.0,1199.0,108.0,80.0,2.0,24.0,3.0,0.0,0.0,0.0,0.0,2.0,10.0,5.0,18.0,0.81,17.0,0.0,1.0,0.0,2.0,0.09,2.0,0.0,0.0,0.0,0.0,14.0,5.0,4.0,10.0,0.0,22.0,17.0,5.0,26.0,82.0,0.0,1522.0,285.0,850.0,635.0,47.0,24.0,1519.0,820.0,2.0,3.0,0.0,1048.0,11.0,1.0,0.0,17.0,8.0,1.0,0.0,1.0,0.0,95.0,44.0,35.0,55.7
+Mehdi Bourabia,ma MAR,MF,Spezia,29,1991,8.0,2.0,282.0,1.0,0.0,0.0,0.0,0.0,0.0,0.32,0.0,0.32,0.32,0.32,0.0,0.0,0.01,0.01,3.1,1.0,0.0,100.0,0.32,1.0,1.0,0.03,1.0,1.0,91.0,110.0,82.7,1435.0,451.0,44.0,49.0,89.8,42.0,49.0,85.7,4.0,9.0,44.4,2.0,11.0,0.0,0.0,8.0,94.0,15.0,13.0,0.0,0.0,3.0,2.0,2.0,0.0,0.0,0.0,1.0,2.0,5.0,1.61,3.0,0.0,0.0,0.0,2.0,0.64,0.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,3.0,0.0,7.0,6.0,1.0,3.0,10.0,0.0,163.0,17.0,64.0,82.0,20.0,0.0,163.0,67.0,1.0,3.0,0.0,73.0,6.0,2.0,0.0,6.0,6.0,0.0,0.0,0.0,0.0,20.0,1.0,2.0,33.3
+"Edoardo Bove,it ITA,""MF,DF"",Roma,19,2002,11.0,0.0,68.0,1.0,0.0,0.0,0.0,0.0,0.0,1.32,0.0,1.32,1.32,1.32,0.0,0.0,0.02,0.02,0.8,1.0,0.0,100.0,1.32,1.0,1.0,0.02,1.0,1.0,29.0,35.0,82.9,544.0,128.0,15.0,17.0,88.2,11.0,14.0,78.6,3.0,4.0,75.0,0.0,4.0,0.0,0.0,3.0,33.0,2.0,2.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,44.0,0.0,7.0,26.0,11.0,2.0,44.0,24.0,2.0,1.0,0.0,29.0,4.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,3.0,0.0"
+Josip Brekalo,hr CRO,MF,Torino,23,1998,32.0,26.0,2286.0,7.0,2.0,0.0,0.0,1.0,0.0,0.28,0.08,0.35,0.28,0.35,4.3,4.3,0.17,0.17,25.4,17.0,2.0,38.6,0.67,0.16,0.41,0.1,2.7,2.7,835.0,1166.0,71.6,14202.0,3308.0,407.0,488.0,83.4,293.0,391.0,74.9,103.0,180.0,57.2,62.0,65.0,35.0,12.0,105.0,1043.0,112.0,40.0,7.0,8.0,135.0,52.0,19.0,21.0,0.0,13.0,11.0,34.0,122.0,4.8,82.0,23.0,7.0,3.0,9.0,0.35,6.0,1.0,0.0,0.0,0.0,9.0,5.0,5.0,1.0,3.0,16.0,1.0,15.0,4.0,7.0,1.0,1379.0,10.0,107.0,587.0,705.0,57.0,1379.0,878.0,78.0,52.0,20.0,1033.0,51.0,37.0,0.0,20.0,21.0,5.0,0.0,0.0,0.0,128.0,17.0,31.0,35.4
+Gleison Bremer,br BRA,DF,Torino,24,1997,33.0,33.0,2890.0,3.0,1.0,0.0,0.0,7.0,0.0,0.09,0.03,0.12,0.09,0.12,4.4,4.4,0.14,0.14,32.1,10.0,0.0,37.0,0.31,0.11,0.3,0.17,-1.4,-1.4,1166.0,1434.0,81.3,23627.0,7926.0,303.0,369.0,82.1,719.0,813.0,88.4,129.0,207.0,62.3,7.0,46.0,4.0,0.0,64.0,1400.0,30.0,26.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,4.0,10.0,23.0,0.72,14.0,1.0,6.0,0.0,2.0,0.06,1.0,0.0,1.0,0.0,0.0,49.0,24.0,27.0,22.0,0.0,54.0,23.0,31.0,105.0,137.0,0.0,1909.0,198.0,945.0,893.0,96.0,54.0,1909.0,936.0,18.0,14.0,2.0,879.0,29.0,8.0,0.0,66.0,20.0,5.0,0.0,0.0,0.0,284.0,131.0,147.0,47.1
+Marcelo Brozović,hr CRO,MF,Inter,28,1992,35.0,35.0,2937.0,2.0,1.0,0.0,0.0,7.0,0.0,0.06,0.03,0.09,0.06,0.09,1.3,1.3,0.04,0.04,32.6,13.0,0.0,40.6,0.4,0.06,0.15,0.04,0.7,0.7,2401.0,2608.0,92.1,44859.0,13556.0,980.0,1044.0,93.9,1058.0,1122.0,94.3,315.0,361.0,87.3,35.0,264.0,29.0,9.0,263.0,2484.0,121.0,108.0,6.0,36.0,23.0,5.0,3.0,2.0,0.0,7.0,3.0,16.0,98.0,3.0,89.0,2.0,2.0,1.0,12.0,0.37,12.0,0.0,0.0,0.0,0.0,77.0,45.0,34.0,35.0,8.0,28.0,10.0,18.0,37.0,36.0,2.0,2911.0,120.0,793.0,1711.0,431.0,30.0,2911.0,1859.0,51.0,49.0,3.0,2165.0,40.0,20.0,0.0,43.0,32.0,0.0,0.0,0.0,0.0,252.0,13.0,24.0,35.1
+Aleksander Buksa,pl POL,FW,Genoa,18,2003,4.0,0.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,15.0,33.3,58.0,26.0,4.0,7.0,57.1,1.0,5.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,15.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,18.0,1.0,2.0,11.0,6.0,1.0,18.0,7.0,1.0,1.0,0.0,12.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,3.0,50.0
+Alessandro Buongiorno,it ITA,DF,Torino,22,1999,23.0,12.0,1181.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,0.9,0.9,0.07,0.07,13.1,1.0,0.0,16.7,0.08,0.0,0.0,0.15,-0.9,-0.9,451.0,559.0,80.7,7307.0,2436.0,227.0,256.0,88.7,186.0,225.0,82.7,28.0,57.0,49.1,5.0,28.0,1.0,1.0,30.0,539.0,18.0,15.0,1.0,3.0,6.0,0.0,0.0,0.0,0.0,3.0,2.0,7.0,9.0,0.68,6.0,0.0,2.0,1.0,3.0,0.23,2.0,0.0,1.0,0.0,0.0,20.0,9.0,9.0,8.0,3.0,12.0,6.0,6.0,31.0,44.0,0.0,693.0,58.0,270.0,365.0,66.0,11.0,693.0,362.0,8.0,11.0,0.0,394.0,10.0,5.0,0.0,27.0,16.0,1.0,0.0,1.0,0.0,60.0,53.0,27.0,66.3
+Gianluca Busio,us USA,MF,Venezia,19,2002,29.0,23.0,1950.0,1.0,1.0,0.0,0.0,8.0,0.0,0.05,0.05,0.09,0.05,0.09,0.9,0.9,0.04,0.04,21.7,5.0,1.0,35.7,0.23,0.07,0.2,0.07,0.1,0.1,733.0,896.0,81.8,13150.0,3223.0,330.0,371.0,88.9,305.0,341.0,89.4,84.0,128.0,65.6,16.0,69.0,10.0,2.0,79.0,841.0,50.0,25.0,2.0,11.0,38.0,19.0,7.0,11.0,0.0,4.0,5.0,21.0,40.0,1.85,26.0,9.0,1.0,3.0,3.0,0.14,2.0,1.0,0.0,0.0,0.0,53.0,28.0,27.0,20.0,6.0,45.0,13.0,32.0,21.0,30.0,1.0,1145.0,63.0,337.0,621.0,194.0,18.0,1145.0,644.0,26.0,23.0,3.0,717.0,33.0,15.0,0.0,31.0,17.0,0.0,0.0,0.0,0.0,99.0,31.0,33.0,48.4
+Jovane Cabral,cv CPV,FW,Lazio,23,1998,3.0,2.0,190.0,1.0,0.0,0.0,0.0,0.0,0.0,0.47,0.0,0.47,0.47,0.47,1.0,1.0,0.49,0.49,2.1,1.0,0.0,16.7,0.47,0.17,1.0,0.17,0.0,0.0,31.0,37.0,83.8,438.0,99.0,16.0,16.0,100.0,8.0,10.0,80.0,3.0,4.0,75.0,1.0,3.0,0.0,0.0,5.0,36.0,1.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.89,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,63.0,1.0,7.0,30.0,26.0,10.0,63.0,50.0,0.0,0.0,0.0,51.0,9.0,5.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,6.0,1.0,4.0,20.0
+Liberato Cacace,nz NZL,DF,Empoli,20,2000,10.0,5.0,466.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,5.2,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,193.0,234.0,82.5,3202.0,1087.0,91.0,100.0,91.0,81.0,93.0,87.1,15.0,27.0,55.6,1.0,14.0,0.0,0.0,12.0,188.0,45.0,5.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,40.0,1.0,4.0,5.0,0.96,3.0,1.0,0.0,1.0,1.0,0.19,1.0,0.0,0.0,0.0,0.0,15.0,6.0,8.0,4.0,3.0,7.0,2.0,5.0,8.0,9.0,0.0,297.0,18.0,90.0,147.0,67.0,1.0,297.0,169.0,13.0,5.0,0.0,165.0,6.0,3.0,0.0,9.0,6.0,0.0,0.0,0.0,0.0,29.0,2.0,6.0,25.0
+Martín Cáceres,uy URU,DF,Cagliari,34,1987,14.0,9.0,832.0,1.0,1.0,0.0,0.0,3.0,1.0,0.11,0.11,0.22,0.11,0.22,0.2,0.2,0.03,0.03,9.2,1.0,0.0,14.3,0.11,0.14,1.0,0.03,0.8,0.8,311.0,452.0,68.8,6204.0,2385.0,121.0,141.0,85.8,136.0,191.0,71.2,47.0,96.0,49.0,5.0,29.0,3.0,0.0,34.0,375.0,74.0,11.0,0.0,11.0,12.0,0.0,0.0,0.0,0.0,63.0,3.0,6.0,14.0,1.51,12.0,0.0,2.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,13.0,7.0,5.0,5.0,3.0,12.0,3.0,9.0,14.0,21.0,0.0,541.0,34.0,180.0,285.0,82.0,8.0,541.0,270.0,8.0,6.0,0.0,284.0,7.0,2.0,0.0,7.0,9.0,0.0,0.0,0.0,0.0,55.0,5.0,5.0,50.0
+Felipe Caicedo,ec ECU,FW,Genoa,32,1988,9.0,1.0,284.0,1.0,2.0,0.0,0.0,1.0,0.0,0.32,0.63,0.95,0.32,0.95,1.4,1.4,0.45,0.45,3.2,3.0,0.0,25.0,0.95,0.08,0.33,0.12,-0.4,-0.4,51.0,75.0,68.0,576.0,94.0,36.0,47.0,76.6,10.0,17.0,58.8,0.0,1.0,0.0,6.0,1.0,3.0,0.0,4.0,71.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,2.85,6.0,0.0,1.0,2.0,3.0,0.95,2.0,0.0,0.0,1.0,0.0,3.0,3.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,4.0,0.0,112.0,4.0,9.0,47.0,56.0,19.0,112.0,49.0,4.0,0.0,4.0,84.0,8.0,0.0,0.0,6.0,2.0,4.0,1.0,0.0,0.0,10.0,15.0,17.0,46.9
+"Felipe Caicedo,ec ECU,""FW,DF"",Inter,32,1988,3.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,8.0,37.5,52.0,23.0,2.0,3.0,66.7,1.0,4.0,25.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,3.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.91,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,12.0,0.0,0.0,4.0,8.0,1.0,12.0,10.0,1.0,1.0,0.0,11.0,1.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0"
+Davide Calabria,it ITA,DF,Milan,24,1996,26.0,24.0,2119.0,2.0,2.0,0.0,0.0,2.0,0.0,0.08,0.08,0.17,0.08,0.17,3.8,3.8,0.16,0.16,23.5,8.0,0.0,22.2,0.34,0.06,0.25,0.11,-1.8,-1.8,958.0,1271.0,75.4,16848.0,6799.0,435.0,495.0,87.9,401.0,512.0,78.3,104.0,198.0,52.5,19.0,96.0,24.0,13.0,113.0,1059.0,207.0,20.0,1.0,4.0,53.0,10.0,0.0,9.0,0.0,177.0,5.0,25.0,47.0,2.0,32.0,4.0,6.0,2.0,6.0,0.25,3.0,0.0,3.0,0.0,0.0,62.0,37.0,31.0,23.0,8.0,25.0,5.0,20.0,23.0,40.0,1.0,1521.0,43.0,422.0,756.0,361.0,26.0,1521.0,693.0,36.0,24.0,2.0,862.0,16.0,6.0,0.0,15.0,28.0,1.0,0.0,0.0,0.0,140.0,10.0,27.0,27.0
+Riccardo Calafiori,it ITA,DF,Genoa,19,2002,3.0,1.0,82.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,12.0,21.0,57.1,204.0,119.0,5.0,9.0,55.6,7.0,9.0,77.8,0.0,3.0,0.0,0.0,1.0,0.0,0.0,1.0,16.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,1.0,1.0,1.1,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,2.0,1.0,1.0,2.0,4.0,0.0,37.0,5.0,21.0,7.0,9.0,1.0,37.0,12.0,2.0,2.0,0.0,11.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,100.0
+Riccardo Calafiori,it ITA,DF,Roma,19,2002,6.0,2.0,174.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.52,0.52,0.0,0.52,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,64.0,82.0,78.0,989.0,270.0,36.0,40.0,90.0,20.0,24.0,83.3,6.0,11.0,54.5,1.0,1.0,2.0,1.0,3.0,68.0,14.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,14.0,0.0,4.0,4.0,2.09,3.0,0.0,0.0,0.0,2.0,1.05,1.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,2.0,1.0,3.0,0.0,3.0,3.0,1.0,0.0,98.0,2.0,28.0,40.0,32.0,1.0,98.0,53.0,3.0,4.0,0.0,56.0,2.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,2.0,33.3
+Mattia Caldara,it ITA,DF,Venezia,27,1994,31.0,30.0,2704.0,1.0,0.0,0.0,0.0,9.0,0.0,0.03,0.0,0.03,0.03,0.03,1.8,1.8,0.06,0.06,30.0,7.0,0.0,43.8,0.23,0.06,0.14,0.11,-0.8,-0.8,951.0,1167.0,81.5,18979.0,7330.0,350.0,390.0,89.7,441.0,512.0,86.1,148.0,237.0,62.4,3.0,52.0,1.0,0.0,63.0,1110.0,53.0,42.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,8.0,4.0,6.0,20.0,0.67,9.0,1.0,5.0,4.0,2.0,0.07,0.0,0.0,1.0,1.0,0.0,48.0,28.0,30.0,15.0,3.0,49.0,37.0,12.0,62.0,147.0,1.0,1529.0,306.0,935.0,538.0,72.0,23.0,1529.0,770.0,15.0,7.0,0.0,808.0,12.0,4.0,0.0,28.0,22.0,3.0,1.0,1.0,0.0,170.0,49.0,51.0,49.0
+Hakan Çalhanoğlu,tr TUR,MF,Inter,27,1994,34.0,33.0,2480.0,7.0,12.0,3.0,3.0,11.0,0.0,0.25,0.44,0.69,0.15,0.58,5.9,3.5,0.22,0.13,27.6,15.0,9.0,24.2,0.54,0.06,0.27,0.06,1.1,0.5,1480.0,1823.0,81.2,27656.0,7793.0,649.0,713.0,91.0,577.0,668.0,86.4,218.0,356.0,61.2,88.0,183.0,53.0,16.0,184.0,1608.0,209.0,49.0,7.0,30.0,196.0,147.0,46.0,86.0,2.0,7.0,6.0,23.0,173.0,6.27,100.0,54.0,11.0,4.0,21.0,0.76,12.0,7.0,1.0,1.0,0.0,41.0,23.0,16.0,19.0,6.0,29.0,5.0,24.0,25.0,12.0,0.0,2089.0,27.0,309.0,1045.0,750.0,43.0,2085.0,1220.0,75.0,50.0,9.0,1464.0,43.0,19.0,0.0,36.0,26.0,0.0,1.0,0.0,0.0,187.0,10.0,21.0,32.3
+José Callejón,es ESP,FW,Fiorentina,34,1987,30.0,16.0,1298.0,1.0,2.0,0.0,0.0,0.0,0.0,0.07,0.14,0.21,0.07,0.21,1.8,1.8,0.12,0.12,14.4,5.0,1.0,29.4,0.35,0.06,0.2,0.11,-0.8,-0.8,484.0,618.0,78.3,7873.0,1923.0,257.0,293.0,87.7,173.0,215.0,80.5,42.0,77.0,54.5,21.0,34.0,24.0,6.0,71.0,577.0,38.0,10.0,2.0,5.0,62.0,24.0,0.0,19.0,0.0,4.0,3.0,6.0,47.0,3.25,32.0,10.0,3.0,1.0,4.0,0.28,4.0,0.0,0.0,0.0,0.0,15.0,6.0,6.0,6.0,3.0,6.0,0.0,6.0,3.0,1.0,1.0,697.0,4.0,76.0,316.0,307.0,41.0,697.0,411.0,31.0,17.0,4.0,538.0,18.0,13.0,0.0,3.0,17.0,3.0,0.0,1.0,0.0,72.0,8.0,18.0,30.8
+Andrea Cambiaso,it ITA,DF,Genoa,21,2000,26.0,21.0,1790.0,1.0,4.0,0.0,0.0,5.0,1.0,0.05,0.2,0.25,0.05,0.25,0.7,0.7,0.03,0.03,19.9,5.0,0.0,38.5,0.25,0.08,0.2,0.05,0.3,0.3,690.0,890.0,77.5,10185.0,3061.0,391.0,443.0,88.3,249.0,312.0,79.8,29.0,62.0,46.8,16.0,36.0,15.0,5.0,53.0,728.0,160.0,6.0,1.0,2.0,66.0,1.0,0.0,1.0,0.0,153.0,2.0,31.0,39.0,1.96,30.0,3.0,1.0,3.0,5.0,0.25,5.0,0.0,0.0,0.0,0.0,46.0,20.0,28.0,14.0,4.0,33.0,8.0,25.0,23.0,37.0,1.0,1120.0,69.0,348.0,481.0,310.0,33.0,1120.0,606.0,71.0,41.0,17.0,603.0,35.0,22.0,1.0,22.0,16.0,1.0,0.0,0.0,0.0,144.0,7.0,17.0,29.2
+"Matteo Cancellieri,it ITA,""MF,DF"",Hellas Verona,19,2002,12.0,1.0,227.0,1.0,0.0,0.0,0.0,1.0,0.0,0.4,0.0,0.4,0.4,0.4,0.2,0.1,0.07,0.05,2.5,1.0,0.0,25.0,0.4,0.25,1.0,0.03,0.8,0.9,46.0,70.0,65.7,645.0,187.0,30.0,37.0,81.1,8.0,14.0,57.1,6.0,10.0,60.0,4.0,2.0,2.0,0.0,4.0,62.0,8.0,1.0,1.0,0.0,8.0,0.0,0.0,0.0,0.0,7.0,0.0,5.0,7.0,2.79,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,2.0,2.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,98.0,0.0,6.0,46.0,50.0,10.0,98.0,56.0,7.0,4.0,3.0,56.0,8.0,2.0,0.0,9.0,4.0,1.0,0.0,0.0,0.0,13.0,4.0,13.0,23.5"
+"Antonio Candreva,it ITA,""MF,FW"",Sampdoria,34,1987,36.0,36.0,3119.0,7.0,10.0,1.0,2.0,6.0,1.0,0.2,0.29,0.49,0.17,0.46,5.8,4.2,0.17,0.12,34.7,19.0,4.0,26.4,0.55,0.08,0.32,0.06,1.2,1.8,1296.0,1948.0,66.5,23792.0,8485.0,617.0,730.0,84.5,397.0,600.0,66.2,221.0,444.0,49.8,78.0,138.0,76.0,31.0,201.0,1679.0,254.0,78.0,11.0,51.0,343.0,114.0,22.0,67.0,0.0,62.0,15.0,60.0,139.0,4.01,84.0,36.0,7.0,5.0,16.0,0.46,10.0,4.0,1.0,1.0,0.0,27.0,16.0,9.0,11.0,7.0,23.0,2.0,21.0,33.0,19.0,0.0,2263.0,43.0,328.0,1007.0,955.0,80.0,2261.0,1424.0,105.0,97.0,23.0,1627.0,58.0,35.0,0.0,19.0,48.0,14.0,0.0,0.0,0.0,193.0,2.0,7.0,22.2"
+Leonardo Capezzi,it ITA,MF,Salernitana,26,1995,5.0,2.0,175.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,40.0,49.0,81.6,548.0,115.0,25.0,28.0,89.3,14.0,16.0,87.5,1.0,3.0,33.3,0.0,3.0,1.0,0.0,3.0,46.0,3.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.51,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,3.0,0.0,8.0,4.0,4.0,0.0,2.0,0.0,76.0,7.0,14.0,40.0,22.0,1.0,76.0,35.0,1.0,1.0,0.0,33.0,7.0,5.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,8.0,1.0,4.0,20.0
+"Gianluca Caprari,it ITA,""MF,FW"",Hellas Verona,28,1993,35.0,33.0,2739.0,12.0,7.0,2.0,2.0,4.0,0.0,0.39,0.23,0.62,0.33,0.56,7.1,5.5,0.23,0.18,30.4,26.0,4.0,40.0,0.85,0.15,0.38,0.09,4.9,4.5,960.0,1283.0,74.8,13655.0,3571.0,556.0,640.0,86.9,272.0,368.0,73.9,65.0,131.0,49.6,63.0,57.0,61.0,5.0,164.0,1155.0,116.0,19.0,12.0,7.0,108.0,72.0,32.0,17.0,0.0,12.0,12.0,35.0,142.0,4.67,92.0,20.0,9.0,9.0,20.0,0.66,16.0,1.0,1.0,0.0,0.0,43.0,25.0,10.0,22.0,11.0,32.0,0.0,32.0,4.0,7.0,0.0,1667.0,10.0,133.0,714.0,850.0,139.0,1665.0,1072.0,117.0,76.0,51.0,1258.0,93.0,54.0,0.0,42.0,74.0,14.0,1.0,0.0,0.0,164.0,8.0,27.0,22.9"
+Francesco Caputo,it ITA,FW,Sampdoria,33,1987,36.0,31.0,2790.0,11.0,3.0,0.0,1.0,0.0,0.0,0.35,0.1,0.45,0.35,0.45,10.3,9.3,0.33,0.3,31.0,28.0,0.0,52.8,0.9,0.21,0.39,0.18,0.7,1.7,442.0,587.0,75.3,5859.0,766.0,264.0,338.0,78.1,131.0,162.0,80.9,16.0,27.0,59.3,39.0,20.0,15.0,2.0,32.0,536.0,51.0,1.0,0.0,7.0,12.0,1.0,1.0,0.0,0.0,0.0,0.0,13.0,74.0,2.39,60.0,0.0,3.0,8.0,8.0,0.26,4.0,0.0,1.0,3.0,0.0,5.0,2.0,1.0,3.0,1.0,5.0,0.0,5.0,2.0,10.0,0.0,790.0,11.0,53.0,363.0,378.0,140.0,789.0,454.0,30.0,16.0,23.0,623.0,57.0,16.0,0.0,23.0,38.0,36.0,3.0,0.0,0.0,61.0,24.0,33.0,42.1
+Francesco Caputo,it ITA,FW,Sassuolo,33,1987,2.0,2.0,156.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.58,0.58,0.0,0.58,0.9,0.9,0.52,0.52,1.7,0.0,0.0,0.0,0.0,0.0,0.0,0.22,-0.9,-0.9,28.0,36.0,77.8,328.0,29.0,21.0,24.0,87.5,6.0,8.0,75.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0,2.0,33.0,3.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.46,5.0,0.0,1.0,0.0,2.0,1.15,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,46.0,0.0,2.0,22.0,22.0,10.0,46.0,30.0,1.0,0.0,0.0,38.0,2.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
+Andrea Carboni,it ITA,DF,Cagliari,20,2001,30.0,25.0,2215.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.03,0.03,24.6,1.0,0.0,10.0,0.04,0.0,0.0,0.07,-0.7,-0.7,809.0,1078.0,75.0,14516.0,5604.0,342.0,388.0,88.1,379.0,464.0,81.7,78.0,179.0,43.6,4.0,66.0,15.0,4.0,97.0,1020.0,52.0,39.0,1.0,7.0,25.0,0.0,0.0,0.0,0.0,12.0,6.0,19.0,20.0,0.81,19.0,0.0,1.0,0.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,53.0,24.0,33.0,16.0,4.0,42.0,15.0,27.0,27.0,87.0,0.0,1349.0,143.0,588.0,636.0,137.0,14.0,1349.0,678.0,29.0,27.0,0.0,765.0,14.0,5.0,0.0,18.0,9.0,0.0,0.0,0.0,1.0,110.0,41.0,38.0,51.9
+Nicolò Casale,it ITA,DF,Hellas Verona,23,1998,36.0,30.0,2586.0,0.0,1.0,0.0,0.0,10.0,0.0,0.0,0.03,0.03,0.0,0.03,0.7,0.7,0.03,0.03,28.7,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.7,-0.7,957.0,1195.0,80.1,16387.0,5759.0,429.0,498.0,86.1,421.0,502.0,83.9,78.0,127.0,61.4,11.0,63.0,12.0,4.0,91.0,1111.0,80.0,51.0,1.0,2.0,15.0,0.0,0.0,0.0,0.0,29.0,4.0,15.0,34.0,1.18,33.0,1.0,0.0,0.0,5.0,0.17,5.0,0.0,0.0,0.0,0.0,46.0,30.0,25.0,19.0,2.0,31.0,12.0,19.0,49.0,95.0,0.0,1494.0,138.0,643.0,703.0,167.0,21.0,1494.0,690.0,40.0,17.0,1.0,776.0,21.0,8.0,0.0,44.0,24.0,0.0,0.0,0.0,0.0,197.0,69.0,61.0,53.1
+Francesco Cassata,it ITA,MF,Genoa,24,1997,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,51.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Samu Castillejo,es ESP,""FW,MF"",Milan,26,1995,5.0,1.0,125.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,54.0,65.0,83.1,847.0,210.0,38.0,39.0,97.4,9.0,11.0,81.8,6.0,12.0,50.0,2.0,5.0,4.0,3.0,5.0,61.0,4.0,0.0,0.0,1.0,8.0,2.0,2.0,0.0,0.0,2.0,0.0,2.0,10.0,7.09,6.0,0.0,2.0,2.0,3.0,2.13,1.0,0.0,1.0,1.0,0.0,4.0,2.0,0.0,2.0,2.0,4.0,1.0,3.0,2.0,1.0,0.0,88.0,2.0,5.0,31.0,53.0,8.0,88.0,52.0,4.0,3.0,1.0,62.0,5.0,3.0,0.0,2.0,2.0,0.0,1.0,0.0,0.0,5.0,2.0,2.0,50.0"
+Gaetano Castrovilli,it ITA,MF,Fiorentina,24,1997,23.0,16.0,1391.0,1.0,1.0,0.0,0.0,4.0,0.0,0.06,0.06,0.13,0.06,0.13,1.0,1.0,0.07,0.07,15.5,2.0,1.0,13.3,0.13,0.07,0.5,0.07,0.0,0.0,404.0,539.0,75.0,6627.0,1868.0,215.0,243.0,88.5,145.0,189.0,76.7,30.0,61.0,49.2,14.0,37.0,24.0,0.0,78.0,499.0,37.0,16.0,4.0,11.0,40.0,13.0,1.0,10.0,0.0,6.0,3.0,20.0,49.0,3.17,36.0,6.0,1.0,4.0,5.0,0.32,5.0,0.0,0.0,0.0,0.0,25.0,17.0,15.0,6.0,4.0,18.0,4.0,14.0,11.0,6.0,0.0,705.0,13.0,106.0,329.0,283.0,44.0,705.0,425.0,40.0,30.0,9.0,483.0,43.0,19.0,0.0,21.0,36.0,1.0,0.0,0.0,0.0,85.0,8.0,12.0,40.0
+Danilo Cataldi,it ITA,MF,Lazio,26,1994,32.0,19.0,1707.0,1.0,2.0,0.0,0.0,8.0,0.0,0.05,0.11,0.16,0.05,0.16,0.4,0.4,0.02,0.02,19.0,4.0,3.0,33.3,0.21,0.08,0.25,0.04,0.6,0.6,1201.0,1401.0,85.7,19380.0,6444.0,632.0,674.0,93.8,411.0,472.0,87.1,111.0,184.0,60.3,25.0,126.0,17.0,2.0,97.0,1294.0,103.0,51.0,6.0,10.0,66.0,51.0,19.0,27.0,0.0,1.0,4.0,11.0,39.0,2.06,25.0,14.0,0.0,0.0,3.0,0.16,2.0,1.0,0.0,0.0,0.0,36.0,17.0,15.0,17.0,4.0,24.0,12.0,12.0,17.0,19.0,1.0,1540.0,54.0,338.0,1004.0,206.0,2.0,1540.0,844.0,9.0,12.0,0.0,1089.0,11.0,6.0,0.0,18.0,19.0,0.0,0.0,1.0,0.0,165.0,6.0,7.0,46.2
+Pietro Ceccaroni,it ITA,DF,Venezia,25,1995,35.0,35.0,3122.0,2.0,1.0,0.0,0.0,7.0,1.0,0.06,0.03,0.09,0.06,0.09,2.3,2.3,0.07,0.07,34.7,6.0,0.0,31.6,0.17,0.11,0.33,0.12,-0.3,-0.3,1414.0,1720.0,82.2,25815.0,11157.0,563.0,622.0,90.5,712.0,802.0,88.8,125.0,241.0,51.9,6.0,82.0,4.0,2.0,87.0,1614.0,105.0,59.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,44.0,1.0,29.0,17.0,0.49,12.0,0.0,5.0,0.0,1.0,0.03,0.0,0.0,1.0,0.0,0.0,55.0,31.0,33.0,18.0,4.0,45.0,32.0,13.0,30.0,143.0,0.0,2068.0,389.0,1311.0,650.0,117.0,26.0,2068.0,1157.0,37.0,17.0,1.0,1300.0,15.0,4.0,0.0,26.0,26.0,0.0,0.0,3.0,0.0,194.0,38.0,31.0,55.1
+Federico Ceccherini,it ITA,DF,Hellas Verona,29,1992,34.0,29.0,2358.0,1.0,0.0,0.0,0.0,12.0,1.0,0.04,0.0,0.04,0.04,0.04,1.7,1.7,0.06,0.06,26.2,2.0,0.0,18.2,0.08,0.09,0.5,0.15,-0.7,-0.7,954.0,1216.0,78.5,16323.0,6138.0,444.0,525.0,84.6,384.0,445.0,86.3,95.0,175.0,54.3,7.0,73.0,5.0,0.0,95.0,1157.0,55.0,37.0,2.0,8.0,5.0,0.0,0.0,0.0,0.0,18.0,4.0,13.0,24.0,0.92,22.0,0.0,1.0,1.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,32.0,16.0,19.0,10.0,3.0,13.0,8.0,5.0,50.0,76.0,1.0,1471.0,108.0,604.0,728.0,155.0,33.0,1471.0,813.0,20.0,21.0,3.0,864.0,30.0,12.0,1.0,56.0,25.0,3.0,0.0,0.0,0.0,175.0,62.0,49.0,55.9
+"Emil Ceide,no NOR,""FW,MF"",Sassuolo,19,2001,6.0,0.0,53.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,26.0,42.3,112.0,23.0,6.0,10.0,60.0,2.0,7.0,28.6,0.0,0.0,0.0,0.0,1.0,2.0,0.0,2.0,23.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,6.0,1.0,1.7,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,36.0,0.0,4.0,14.0,18.0,4.0,36.0,23.0,5.0,2.0,2.0,26.0,4.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7"
+Luca Ceppitelli,it ITA,DF,Cagliari,31,1989,24.0,16.0,1445.0,1.0,1.0,0.0,0.0,3.0,0.0,0.06,0.06,0.12,0.06,0.12,0.4,0.4,0.02,0.02,16.1,1.0,0.0,16.7,0.06,0.17,1.0,0.07,0.6,0.6,671.0,802.0,83.7,12644.0,4481.0,259.0,288.0,89.9,322.0,359.0,89.7,76.0,124.0,61.3,2.0,36.0,4.0,2.0,35.0,763.0,34.0,28.0,0.0,8.0,7.0,0.0,0.0,0.0,0.0,6.0,5.0,9.0,10.0,0.62,8.0,0.0,2.0,0.0,1.0,0.06,0.0,0.0,1.0,0.0,0.0,23.0,12.0,13.0,10.0,0.0,21.0,14.0,7.0,25.0,54.0,0.0,954.0,120.0,451.0,460.0,46.0,14.0,954.0,482.0,3.0,6.0,0.0,570.0,8.0,3.0,0.0,18.0,12.0,1.0,0.0,0.0,0.0,87.0,40.0,22.0,64.5
+Damir Ceter,co COL,FW,Cagliari,23,1997,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,49.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,2.0,2.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Julian Chabot,de GER,DF,Sampdoria,23,1998,11.0,4.0,490.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,5.4,1.0,0.0,33.3,0.18,0.0,0.0,0.01,0.0,0.0,206.0,258.0,79.8,4377.0,1629.0,61.0,71.0,85.9,111.0,121.0,91.7,33.0,60.0,55.0,0.0,13.0,0.0,0.0,21.0,230.0,25.0,18.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,7.0,3.0,0.0,1.0,0.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,10.0,8.0,4.0,0.0,7.0,4.0,3.0,9.0,28.0,1.0,331.0,41.0,168.0,158.0,7.0,4.0,331.0,149.0,0.0,0.0,0.0,172.0,4.0,2.0,0.0,10.0,11.0,0.0,0.0,0.0,0.0,32.0,20.0,11.0,64.5
+Giorgio Chiellini,it ITA,DF,Juventus,36,1984,21.0,16.0,1354.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.05,0.05,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,-0.8,-0.8,783.0,949.0,82.5,16149.0,5681.0,229.0,252.0,90.9,445.0,504.0,88.3,105.0,172.0,61.0,7.0,69.0,3.0,0.0,74.0,892.0,51.0,29.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,11.0,6.0,5.0,21.0,1.4,18.0,0.0,2.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,22.0,13.0,17.0,4.0,1.0,24.0,18.0,6.0,22.0,59.0,0.0,1108.0,140.0,486.0,563.0,63.0,7.0,1108.0,567.0,21.0,15.0,0.0,730.0,7.0,1.0,0.0,15.0,22.0,2.0,0.0,0.0,0.0,78.0,37.0,21.0,63.8
+"Federico Chiesa,it ITA,""MF,FW"",Juventus,23,1997,14.0,11.0,863.0,2.0,2.0,0.0,0.0,0.0,0.0,0.21,0.21,0.42,0.21,0.42,2.2,2.2,0.23,0.23,9.6,9.0,0.0,32.1,0.94,0.07,0.22,0.08,-0.2,-0.2,218.0,288.0,75.7,3844.0,1144.0,106.0,126.0,84.1,76.0,95.0,80.0,27.0,43.0,62.8,17.0,18.0,13.0,5.0,32.0,250.0,35.0,1.0,0.0,2.0,32.0,18.0,10.0,4.0,0.0,14.0,3.0,7.0,41.0,4.28,21.0,3.0,6.0,3.0,7.0,0.73,2.0,0.0,1.0,1.0,0.0,26.0,19.0,9.0,9.0,8.0,7.0,0.0,7.0,4.0,3.0,0.0,427.0,7.0,58.0,167.0,208.0,47.0,427.0,258.0,36.0,20.0,14.0,266.0,20.0,15.0,0.0,9.0,16.0,1.0,1.0,0.0,0.0,47.0,0.0,8.0,0.0"
+Vlad Chiricheș,ro ROU,DF,Sassuolo,31,1989,29.0,27.0,2300.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,25.6,2.0,0.0,22.2,0.08,0.0,0.0,0.05,-0.4,-0.4,1224.0,1342.0,91.2,22910.0,7639.0,468.0,500.0,93.6,584.0,628.0,93.0,147.0,171.0,86.0,2.0,32.0,1.0,0.0,52.0,1275.0,65.0,57.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,8.0,8.0,0.31,7.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,15.0,19.0,9.0,0.0,34.0,21.0,13.0,41.0,71.0,4.0,1563.0,229.0,808.0,741.0,26.0,9.0,1563.0,941.0,4.0,6.0,1.0,1019.0,13.0,9.0,0.0,28.0,13.0,1.0,0.0,3.0,0.0,165.0,34.0,53.0,39.1
+"Riccardo Ciervo,it ITA,""MF,DF"",Sampdoria,19,2002,10.0,1.0,227.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.0,0.4,0.1,0.1,0.04,0.04,2.5,1.0,0.0,33.3,0.4,0.0,0.0,0.04,-0.1,-0.1,45.0,66.0,68.2,824.0,174.0,20.0,26.0,76.9,17.0,26.0,65.4,5.0,6.0,83.3,3.0,5.0,1.0,1.0,6.0,62.0,3.0,1.0,0.0,0.0,9.0,1.0,0.0,1.0,0.0,1.0,1.0,3.0,7.0,2.78,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,4.0,3.0,1.0,1.0,0.0,1.0,2.0,2.0,0.0,94.0,2.0,18.0,42.0,36.0,8.0,94.0,52.0,10.0,3.0,2.0,55.0,4.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,17.0,0.0,3.0,0.0"
+Moustapha Cissé,gn GUI,FW,Atalanta,17,2003,3.0,0.0,38.0,1.0,0.0,0.0,0.0,0.0,0.0,2.37,0.0,2.37,2.37,2.37,0.6,0.6,1.45,1.45,0.4,1.0,0.0,33.3,2.37,0.33,1.0,0.2,0.4,0.4,5.0,9.0,55.6,48.0,13.0,5.0,8.0,62.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.37,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,0.0,1.0,8.0,11.0,3.0,20.0,9.0,2.0,1.0,0.0,17.0,5.0,1.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,1.0,4.0,2.0,66.7
+Giorgio Cittadini,it ITA,DF,Atalanta,19,2002,2.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,17.0,15.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,3.0,1.0,1.0,1.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+"Ebrima Colley,gm GAM,""FW,MF"",Spezia,21,2000,11.0,3.0,394.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.2,0.2,4.4,5.0,0.0,41.7,1.14,0.0,0.0,0.07,-0.9,-0.9,80.0,127.0,63.0,1301.0,416.0,38.0,49.0,77.6,31.0,49.0,63.3,8.0,16.0,50.0,5.0,10.0,7.0,2.0,13.0,115.0,10.0,3.0,2.0,0.0,18.0,5.0,2.0,2.0,0.0,2.0,2.0,6.0,12.0,2.74,6.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,3.0,2.0,1.0,8.0,0.0,8.0,3.0,2.0,0.0,195.0,5.0,34.0,88.0,78.0,10.0,195.0,126.0,17.0,12.0,4.0,139.0,14.0,9.0,0.0,10.0,12.0,2.0,0.0,0.0,0.0,15.0,2.0,5.0,28.6"
+Omar Colley,gm GAM,DF,Sampdoria,28,1992,32.0,31.0,2745.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,1.2,1.2,0.04,0.04,30.5,1.0,0.0,9.1,0.03,0.0,0.0,0.11,-1.2,-1.2,1211.0,1448.0,83.6,23118.0,7682.0,393.0,432.0,91.0,684.0,761.0,89.9,110.0,207.0,53.1,0.0,63.0,2.0,0.0,83.0,1351.0,95.0,59.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,5.0,10.0,0.33,7.0,0.0,1.0,1.0,1.0,0.03,0.0,0.0,1.0,0.0,0.0,47.0,36.0,32.0,14.0,1.0,31.0,19.0,12.0,80.0,135.0,2.0,1791.0,300.0,1046.0,711.0,46.0,19.0,1791.0,986.0,12.0,11.0,0.0,1001.0,11.0,1.0,0.0,25.0,31.0,1.0,0.0,1.0,0.0,182.0,56.0,38.0,59.6
+Andrea Consigli,it ITA,GK,Sassuolo,34,1987,37.0,37.0,3322.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1161.0,1469.0,79.0,29559.0,19668.0,291.0,294.0,99.0,475.0,484.0,98.1,381.0,673.0,56.6,1.0,7.0,1.0,0.0,0.0,1084.0,381.0,135.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,8.0,0.22,7.0,1.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,3.0,1572.0,1199.0,1557.0,15.0,0.0,0.0,1572.0,915.0,0.0,0.0,0.0,783.0,0.0,0.0,0.0,2.0,7.0,0.0,0.0,2.0,0.0,40.0,7.0,1.0,87.5
+"Andrea Conti,it ITA,""DF,MF"",Sampdoria,27,1994,7.0,2.0,234.0,1.0,0.0,0.0,0.0,1.0,0.0,0.38,0.0,0.38,0.38,0.38,0.4,0.4,0.14,0.14,2.6,1.0,0.0,25.0,0.38,0.25,1.0,0.09,0.6,0.6,62.0,82.0,75.6,849.0,334.0,40.0,46.0,87.0,14.0,22.0,63.6,5.0,7.0,71.4,0.0,4.0,0.0,0.0,2.0,68.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,3.0,2.0,0.77,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,2.0,1.0,1.0,4.0,0.0,4.0,7.0,4.0,0.0,114.0,11.0,41.0,42.0,31.0,8.0,114.0,54.0,3.0,3.0,1.0,64.0,4.0,0.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0"
+Andrea Conti,it ITA,DF,Milan,27,1994,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,6.0,66.7,62.0,2.0,2.0,2.0,100.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,2.0,1.0,0.0,6.0,4.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Diego Coppola,it ITA,DF,Hellas Verona,17,2003,4.0,3.0,249.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,2.8,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,77.0,98.0,78.6,1417.0,595.0,27.0,31.0,87.1,45.0,53.0,84.9,4.0,11.0,36.4,0.0,5.0,0.0,0.0,8.0,98.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,4.0,4.0,0.0,5.0,1.0,4.0,4.0,5.0,0.0,127.0,14.0,62.0,56.0,10.0,4.0,127.0,56.0,2.0,0.0,1.0,68.0,2.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,18.0,11.0,4.0,73.3
+Joaquín Correa,ar ARG,FW,Inter,26,1994,26.0,12.0,1025.0,6.0,1.0,0.0,0.0,2.0,0.0,0.53,0.09,0.61,0.53,0.61,4.6,4.6,0.4,0.4,11.4,16.0,0.0,45.7,1.4,0.17,0.38,0.13,1.4,1.4,280.0,344.0,81.4,3881.0,879.0,166.0,195.0,85.1,81.0,94.0,86.2,14.0,18.0,77.8,19.0,22.0,11.0,0.0,38.0,335.0,7.0,3.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,2.0,6.0,43.0,3.78,32.0,0.0,5.0,1.0,5.0,0.44,3.0,0.0,1.0,0.0,0.0,11.0,5.0,2.0,6.0,3.0,8.0,1.0,7.0,3.0,2.0,0.0,492.0,4.0,21.0,178.0,304.0,85.0,492.0,326.0,41.0,22.0,26.0,385.0,28.0,12.0,0.0,15.0,16.0,1.0,0.0,0.0,0.0,32.0,8.0,11.0,42.1
+Lassana Coulibaly,ml MLI,MF,Salernitana,25,1996,31.0,29.0,2332.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.04,0.04,25.9,7.0,0.0,31.8,0.27,0.0,0.0,0.04,-1.0,-1.0,677.0,834.0,81.2,10398.0,3087.0,361.0,416.0,86.8,241.0,290.0,83.1,46.0,66.0,69.7,10.0,71.0,8.0,2.0,82.0,809.0,22.0,15.0,0.0,3.0,13.0,0.0,0.0,0.0,0.0,5.0,3.0,19.0,43.0,1.66,32.0,0.0,3.0,6.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,58.0,32.0,29.0,26.0,3.0,40.0,13.0,27.0,22.0,27.0,0.0,1139.0,64.0,273.0,666.0,229.0,8.0,1139.0,650.0,39.0,38.0,1.0,632.0,35.0,20.0,0.0,34.0,49.0,0.0,0.0,0.0,0.0,171.0,22.0,23.0,48.9
+Mamadou Coulibaly,sn SEN,MF,Salernitana,22,1999,12.0,9.0,808.0,2.0,0.0,0.0,0.0,1.0,0.0,0.22,0.0,0.22,0.22,0.22,1.4,1.4,0.15,0.15,9.0,4.0,0.0,40.0,0.45,0.2,0.5,0.14,0.6,0.6,250.0,331.0,75.5,3878.0,1225.0,135.0,160.0,84.4,83.0,106.0,78.3,20.0,28.0,71.4,5.0,31.0,4.0,1.0,37.0,327.0,3.0,2.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,1.0,15.0,25.0,2.79,19.0,1.0,1.0,2.0,2.0,0.22,0.0,0.0,1.0,0.0,0.0,15.0,12.0,8.0,5.0,2.0,9.0,0.0,9.0,11.0,9.0,0.0,444.0,11.0,96.0,228.0,131.0,12.0,444.0,245.0,16.0,12.0,1.0,255.0,27.0,6.0,0.0,16.0,9.0,0.0,1.0,0.0,0.0,74.0,9.0,8.0,52.9
+Alessio Cragno,it ITA,GK,Cagliari,27,1994,35.0,35.0,3150.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,775.0,1216.0,63.7,27429.0,23118.0,97.0,100.0,97.0,256.0,264.0,97.0,410.0,830.0,49.4,0.0,27.0,0.0,0.0,0.0,752.0,454.0,138.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,4.0,0.11,1.0,3.0,0.0,0.0,1.0,0.03,0.0,1.0,0.0,0.0,0.0,3.0,3.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,14.0,1.0,1305.0,1064.0,1295.0,11.0,0.0,0.0,1305.0,638.0,0.0,0.0,0.0,487.0,1.0,1.0,0.0,1.0,8.0,0.0,0.0,1.0,0.0,39.0,3.0,3.0,50.0
+Domenico Criscito,it ITA,DF,Genoa,34,1986,20.0,18.0,1618.0,6.0,1.0,6.0,7.0,4.0,0.0,0.33,0.06,0.39,0.0,0.06,5.8,0.3,0.32,0.02,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.2,-0.3,774.0,1008.0,76.8,13602.0,5375.0,342.0,378.0,90.5,350.0,427.0,82.0,67.0,161.0,41.6,9.0,61.0,13.0,8.0,70.0,836.0,161.0,52.0,2.0,6.0,50.0,7.0,3.0,4.0,0.0,92.0,11.0,13.0,25.0,1.39,15.0,4.0,3.0,1.0,2.0,0.11,2.0,0.0,0.0,0.0,0.0,37.0,21.0,19.0,14.0,4.0,22.0,12.0,10.0,39.0,57.0,0.0,1218.0,110.0,439.0,563.0,227.0,14.0,1211.0,625.0,33.0,25.0,3.0,648.0,13.0,9.0,0.0,21.0,27.0,0.0,0.0,0.0,0.0,126.0,18.0,17.0,51.4
+Bryan Cristante,it ITA,MF,Roma,26,1995,34.0,29.0,2678.0,2.0,0.0,0.0,0.0,9.0,0.0,0.07,0.0,0.07,0.07,0.07,2.2,2.2,0.07,0.07,29.8,5.0,0.0,12.5,0.17,0.05,0.4,0.06,-0.2,-0.2,1484.0,1818.0,81.6,29534.0,9846.0,531.0,621.0,85.5,709.0,811.0,87.4,221.0,315.0,70.2,24.0,247.0,21.0,3.0,231.0,1734.0,79.0,71.0,3.0,18.0,14.0,0.0,0.0,0.0,0.0,8.0,5.0,18.0,62.0,2.08,52.0,0.0,7.0,1.0,1.0,0.03,0.0,0.0,1.0,0.0,0.0,79.0,39.0,31.0,39.0,9.0,31.0,5.0,26.0,40.0,45.0,0.0,2112.0,85.0,461.0,1393.0,272.0,42.0,2112.0,1099.0,31.0,33.0,0.0,1431.0,19.0,15.0,0.0,40.0,14.0,1.0,0.0,1.0,1.0,190.0,87.0,61.0,58.8
+Domen Črnigoj,si SVN,MF,Venezia,25,1995,34.0,22.0,1881.0,3.0,1.0,0.0,0.0,3.0,0.0,0.14,0.05,0.19,0.14,0.19,2.2,2.2,0.11,0.11,20.9,12.0,0.0,37.5,0.57,0.09,0.25,0.07,0.8,0.8,494.0,677.0,73.0,8105.0,2645.0,260.0,309.0,84.1,169.0,224.0,75.4,51.0,82.0,62.2,10.0,37.0,12.0,4.0,69.0,650.0,25.0,4.0,0.0,3.0,30.0,0.0,0.0,0.0,0.0,21.0,2.0,31.0,35.0,1.68,28.0,0.0,3.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,21.0,13.0,7.0,11.0,3.0,27.0,8.0,19.0,24.0,42.0,0.0,938.0,60.0,246.0,440.0,269.0,34.0,938.0,496.0,34.0,22.0,9.0,569.0,41.0,17.0,0.0,26.0,12.0,1.0,0.0,1.0,0.0,106.0,25.0,43.0,36.8
+Giovanni Crociata,it ITA,FW,Empoli,23,1997,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.89,0.89,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.15,-0.1,-0.1,7.0,9.0,77.8,91.0,18.0,3.0,3.0,100.0,3.0,4.0,75.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,0.0,0.0,5.0,6.0,2.0,11.0,7.0,0.0,0.0,0.0,9.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Juan Cuadrado,co COL,""DF,MF"",Juventus,33,1988,33.0,28.0,2487.0,4.0,3.0,0.0,0.0,9.0,0.0,0.14,0.11,0.25,0.14,0.25,1.7,1.7,0.06,0.06,27.6,13.0,5.0,36.1,0.47,0.11,0.31,0.05,2.3,2.3,1585.0,1877.0,84.4,29961.0,8619.0,683.0,741.0,92.2,669.0,757.0,88.4,216.0,324.0,66.7,59.0,115.0,50.0,13.0,169.0,1648.0,224.0,57.0,1.0,31.0,134.0,55.0,26.0,22.0,1.0,112.0,5.0,16.0,111.0,4.02,74.0,21.0,4.0,4.0,12.0,0.43,8.0,1.0,0.0,1.0,0.0,48.0,23.0,30.0,13.0,5.0,23.0,5.0,18.0,29.0,34.0,0.0,2170.0,59.0,492.0,1038.0,665.0,69.0,2169.0,1313.0,93.0,63.0,33.0,1544.0,46.0,15.0,0.0,19.0,52.0,1.0,0.0,0.0,0.0,162.0,20.0,14.0,58.8"
+Mickaël Cuisance,fr FRA,MF,Venezia,21,1999,13.0,13.0,918.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.06,0.06,10.2,1.0,2.0,16.7,0.1,0.0,0.0,0.1,-0.6,-0.6,285.0,370.0,77.0,5004.0,1465.0,113.0,136.0,83.1,124.0,150.0,82.7,30.0,53.0,56.6,10.0,33.0,9.0,0.0,37.0,340.0,30.0,11.0,3.0,4.0,18.0,11.0,5.0,5.0,0.0,4.0,0.0,4.0,25.0,2.45,20.0,1.0,2.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,23.0,9.0,7.0,12.0,4.0,14.0,0.0,14.0,12.0,5.0,0.0,494.0,5.0,105.0,257.0,140.0,5.0,494.0,277.0,10.0,11.0,0.0,303.0,13.0,26.0,0.0,12.0,9.0,1.0,0.0,1.0,0.0,57.0,9.0,9.0,50.0
+Patrick Cutrone,it ITA,FW,Empoli,23,1998,28.0,15.0,1401.0,3.0,0.0,0.0,0.0,1.0,0.0,0.19,0.0,0.19,0.19,0.19,3.7,3.7,0.24,0.24,15.6,14.0,0.0,28.0,0.9,0.06,0.21,0.07,-0.7,-0.7,161.0,248.0,64.9,2386.0,370.0,97.0,125.0,77.6,49.0,74.0,66.2,11.0,20.0,55.0,9.0,13.0,9.0,2.0,16.0,226.0,20.0,1.0,0.0,2.0,21.0,0.0,0.0,0.0,0.0,2.0,2.0,9.0,22.0,1.41,16.0,0.0,1.0,1.0,2.0,0.13,1.0,0.0,0.0,1.0,0.0,5.0,2.0,0.0,3.0,2.0,11.0,1.0,10.0,5.0,1.0,0.0,391.0,3.0,17.0,132.0,250.0,78.0,391.0,235.0,20.0,4.0,9.0,293.0,37.0,18.0,0.0,13.0,16.0,20.0,1.0,0.0,0.0,40.0,9.0,30.0,23.1
+Danilo D'Ambrosio,it ITA,DF,Inter,32,1988,20.0,9.0,1000.0,1.0,1.0,0.0,0.0,2.0,0.0,0.09,0.09,0.18,0.09,0.18,2.0,2.0,0.18,0.18,11.1,3.0,0.0,21.4,0.27,0.07,0.33,0.15,-1.0,-1.0,642.0,736.0,87.2,11095.0,3644.0,297.0,318.0,93.4,272.0,298.0,91.3,55.0,89.0,61.8,2.0,45.0,2.0,1.0,47.0,711.0,25.0,18.0,1.0,5.0,7.0,0.0,0.0,0.0,0.0,7.0,0.0,10.0,11.0,0.99,9.0,0.0,1.0,0.0,3.0,0.27,3.0,0.0,0.0,0.0,0.0,30.0,15.0,21.0,8.0,1.0,21.0,10.0,11.0,8.0,20.0,0.0,872.0,84.0,401.0,379.0,98.0,24.0,872.0,522.0,8.0,11.0,1.0,628.0,16.0,5.0,0.0,13.0,5.0,1.0,0.0,0.0,0.0,63.0,18.0,16.0,52.9
+"Mikkel Damsgaard,dk DEN,""MF,FW"",Sampdoria,21,2000,11.0,6.0,578.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.09,0.09,6.4,2.0,1.0,18.2,0.31,0.0,0.0,0.05,-0.6,-0.6,196.0,264.0,74.2,2909.0,860.0,110.0,131.0,84.0,62.0,77.0,80.5,12.0,22.0,54.5,11.0,21.0,9.0,1.0,29.0,251.0,6.0,1.0,1.0,2.0,5.0,1.0,0.0,0.0,0.0,4.0,7.0,7.0,27.0,4.21,21.0,1.0,1.0,2.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,27.0,13.0,12.0,11.0,4.0,16.0,1.0,15.0,7.0,7.0,0.0,352.0,9.0,60.0,155.0,145.0,23.0,352.0,202.0,11.0,11.0,2.0,235.0,12.0,10.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,41.0,7.0,5.0,58.3"
+"Danilo,br BRA,""DF,MF"",Juventus,30,1991,22.0,22.0,1893.0,1.0,2.0,0.0,0.0,6.0,0.0,0.05,0.1,0.14,0.05,0.14,0.6,0.6,0.03,0.03,21.0,3.0,0.0,23.1,0.14,0.08,0.33,0.05,0.4,0.4,1270.0,1480.0,85.8,22995.0,8411.0,524.0,563.0,93.1,599.0,663.0,90.3,132.0,208.0,63.5,14.0,133.0,15.0,6.0,115.0,1288.0,184.0,41.0,2.0,5.0,13.0,0.0,0.0,0.0,0.0,142.0,8.0,15.0,39.0,1.85,33.0,1.0,3.0,2.0,3.0,0.14,2.0,0.0,1.0,0.0,0.0,37.0,26.0,20.0,13.0,4.0,21.0,12.0,9.0,32.0,53.0,1.0,1655.0,105.0,565.0,904.0,200.0,16.0,1655.0,832.0,25.0,17.0,2.0,1097.0,9.0,4.0,0.0,19.0,11.0,0.0,0.0,0.0,0.0,121.0,37.0,24.0,60.7"
+Ebrima Darboe,gm GAM,MF,Roma,20,2001,1.0,1.0,63.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.08,0.08,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,38.0,40.0,95.0,803.0,154.0,12.0,14.0,85.7,20.0,20.0,100.0,6.0,6.0,100.0,0.0,6.0,0.0,0.0,3.0,38.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.43,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,45.0,1.0,5.0,34.0,6.0,1.0,45.0,34.0,0.0,0.0,0.0,33.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Matteo Darmian,it ITA,DF,Inter,31,1989,25.0,18.0,1507.0,2.0,1.0,0.0,0.0,4.0,0.0,0.12,0.06,0.18,0.12,0.18,0.7,0.7,0.04,0.04,16.7,4.0,0.0,50.0,0.24,0.25,0.5,0.09,1.3,1.3,534.0,671.0,79.6,8588.0,3233.0,261.0,295.0,88.5,235.0,277.0,84.8,31.0,56.0,55.4,21.0,27.0,21.0,10.0,51.0,545.0,123.0,3.0,2.0,1.0,37.0,0.0,0.0,0.0,0.0,120.0,3.0,22.0,43.0,2.57,35.0,2.0,2.0,1.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,32.0,16.0,17.0,9.0,6.0,16.0,1.0,15.0,19.0,25.0,0.0,806.0,35.0,245.0,312.0,253.0,29.0,806.0,381.0,25.0,16.0,8.0,483.0,15.0,2.0,0.0,23.0,18.0,0.0,1.0,0.0,0.0,54.0,18.0,5.0,78.3
+Paweł Dawidowicz,pl POL,DF,Hellas Verona,26,1995,17.0,13.0,1198.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,13.3,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.5,-0.5,511.0,600.0,85.2,8677.0,2983.0,241.0,266.0,90.6,224.0,256.0,87.5,41.0,57.0,71.9,6.0,42.0,3.0,0.0,50.0,578.0,19.0,12.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,7.0,3.0,8.0,11.0,0.83,7.0,0.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,30.0,18.0,16.0,10.0,4.0,14.0,11.0,3.0,21.0,53.0,0.0,757.0,82.0,301.0,379.0,84.0,16.0,757.0,413.0,16.0,19.0,1.0,437.0,7.0,2.0,0.0,26.0,14.0,0.0,0.0,1.0,0.0,70.0,22.0,25.0,46.8
+Sebastien De Maio,fr FRA,DF,Udinese,34,1987,2.0,2.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,55.0,74.0,74.3,1121.0,585.0,15.0,18.0,83.3,31.0,34.0,91.2,7.0,20.0,35.0,1.0,4.0,0.0,0.0,3.0,72.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,4.0,1.0,0.0,6.0,5.0,1.0,1.0,9.0,0.0,97.0,13.0,69.0,29.0,0.0,0.0,97.0,40.0,0.0,0.0,0.0,44.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,16.0,2.0,3.0,40.0
+Tommaso De Nipoti,it ITA,FW,Atalanta,18,2003,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,10.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+Mattia De Sciglio,it ITA,DF,Juventus,28,1992,20.0,13.0,1168.0,1.0,2.0,0.0,0.0,2.0,1.0,0.08,0.15,0.23,0.08,0.23,0.2,0.2,0.01,0.01,13.0,2.0,0.0,33.3,0.15,0.17,0.5,0.03,0.8,0.8,541.0,681.0,79.4,9821.0,3507.0,239.0,270.0,88.5,239.0,286.0,83.6,60.0,97.0,61.9,19.0,34.0,16.0,14.0,40.0,562.0,115.0,13.0,1.0,8.0,52.0,9.0,7.0,2.0,0.0,93.0,4.0,16.0,32.0,2.47,26.0,3.0,1.0,1.0,4.0,0.31,4.0,0.0,0.0,0.0,0.0,24.0,12.0,7.0,9.0,8.0,10.0,0.0,10.0,10.0,30.0,0.0,794.0,43.0,246.0,362.0,194.0,13.0,794.0,363.0,36.0,18.0,5.0,450.0,12.0,3.0,0.0,15.0,7.0,0.0,0.0,1.0,0.0,75.0,16.0,8.0,66.7
+Lorenzo De Silvestri,it ITA,DF,Bologna,33,1988,31.0,27.0,2294.0,3.0,2.0,0.0,0.0,7.0,0.0,0.12,0.08,0.2,0.12,0.2,1.8,1.8,0.07,0.07,25.5,7.0,0.0,43.8,0.27,0.19,0.43,0.11,1.2,1.2,990.0,1353.0,73.2,14979.0,7494.0,569.0,671.0,84.8,323.0,433.0,74.6,62.0,148.0,41.9,21.0,83.0,26.0,12.0,121.0,1111.0,235.0,19.0,0.0,3.0,57.0,0.0,0.0,0.0,0.0,216.0,7.0,32.0,46.0,1.8,32.0,9.0,2.0,3.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,23.0,14.0,13.0,8.0,2.0,25.0,7.0,18.0,26.0,52.0,0.0,1593.0,88.0,478.0,758.0,363.0,42.0,1593.0,743.0,47.0,29.0,2.0,983.0,32.0,17.0,0.0,28.0,28.0,3.0,1.0,0.0,0.0,97.0,75.0,46.0,62.0
+Grégoire Defrel,mq MTQ,FW,Sassuolo,30,1991,38.0,11.0,1362.0,2.0,2.0,0.0,0.0,3.0,0.0,0.13,0.13,0.26,0.13,0.26,4.0,4.0,0.26,0.26,15.1,10.0,0.0,37.0,0.66,0.07,0.2,0.15,-2.0,-2.0,330.0,386.0,85.5,4015.0,629.0,203.0,229.0,88.6,82.0,92.0,89.1,9.0,11.0,81.8,23.0,16.0,12.0,0.0,30.0,355.0,31.0,1.0,6.0,1.0,1.0,3.0,1.0,0.0,0.0,2.0,0.0,6.0,48.0,3.18,38.0,0.0,3.0,2.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,15.0,9.0,4.0,8.0,3.0,11.0,1.0,10.0,4.0,11.0,0.0,549.0,13.0,50.0,250.0,256.0,48.0,549.0,342.0,26.0,19.0,12.0,405.0,39.0,32.0,0.0,16.0,18.0,3.0,0.0,0.0,0.0,43.0,9.0,36.0,20.0
+Alessandro Deiola,it ITA,MF,Cagliari,25,1995,33.0,28.0,2129.0,4.0,1.0,0.0,0.0,5.0,0.0,0.17,0.04,0.21,0.17,0.21,2.5,2.5,0.11,0.11,23.7,12.0,0.0,46.2,0.51,0.15,0.33,0.1,1.5,1.5,590.0,774.0,76.2,10649.0,2511.0,251.0,325.0,77.2,245.0,295.0,83.1,72.0,96.0,75.0,13.0,43.0,11.0,3.0,70.0,753.0,16.0,14.0,0.0,11.0,12.0,1.0,1.0,0.0,0.0,0.0,5.0,21.0,37.0,1.56,32.0,0.0,4.0,0.0,4.0,0.17,3.0,0.0,1.0,0.0,0.0,47.0,22.0,15.0,25.0,7.0,28.0,10.0,18.0,26.0,45.0,0.0,1028.0,68.0,300.0,536.0,205.0,24.0,1028.0,482.0,12.0,10.0,1.0,559.0,30.0,11.0,0.0,45.0,21.0,1.0,0.0,0.0,0.0,149.0,40.0,42.0,48.8
+Filippo Delli Carri,it ITA,DF,Salernitana,22,1999,5.0,3.0,334.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.06,0.06,3.7,2.0,0.0,50.0,0.54,0.0,0.0,0.06,-0.2,-0.2,86.0,123.0,69.9,1269.0,668.0,53.0,64.0,82.8,27.0,39.0,69.2,3.0,12.0,25.0,1.0,4.0,1.0,0.0,7.0,102.0,20.0,3.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,17.0,1.0,4.0,4.0,1.07,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,4.0,2.0,0.0,6.0,2.0,4.0,4.0,14.0,0.0,168.0,21.0,83.0,61.0,26.0,6.0,168.0,68.0,3.0,5.0,0.0,80.0,6.0,1.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,18.0,4.0,3.0,57.1
+Merih Demiral,tr TUR,DF,Atalanta,23,1998,28.0,22.0,1917.0,1.0,2.0,0.0,0.0,8.0,0.0,0.05,0.09,0.14,0.05,0.14,2.5,2.5,0.12,0.12,21.3,6.0,0.0,24.0,0.28,0.04,0.17,0.1,-1.5,-1.5,683.0,801.0,85.3,13396.0,3973.0,201.0,238.0,84.5,400.0,440.0,90.9,71.0,102.0,69.6,4.0,24.0,0.0,0.0,25.0,760.0,41.0,39.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,8.0,0.38,2.0,0.0,4.0,0.0,3.0,0.14,0.0,0.0,3.0,0.0,0.0,31.0,17.0,18.0,12.0,1.0,26.0,14.0,12.0,58.0,68.0,1.0,1070.0,132.0,554.0,465.0,61.0,34.0,1070.0,531.0,3.0,8.0,2.0,544.0,15.0,5.0,0.0,29.0,16.0,3.0,0.0,1.0,0.0,122.0,85.0,37.0,69.7
+Diego Demme,de GER,MF,Napoli,29,1991,19.0,7.0,692.0,1.0,0.0,0.0,0.0,4.0,0.0,0.13,0.0,0.13,0.13,0.13,0.7,0.7,0.09,0.09,7.7,1.0,0.0,50.0,0.13,0.5,1.0,0.34,0.3,0.3,539.0,596.0,90.4,8082.0,2155.0,304.0,319.0,95.3,181.0,200.0,90.5,33.0,49.0,67.3,5.0,43.0,7.0,2.0,44.0,589.0,7.0,6.0,1.0,3.0,7.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,23.0,3.0,19.0,0.0,1.0,2.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,21.0,12.0,4.0,13.0,4.0,11.0,2.0,9.0,9.0,2.0,0.0,662.0,17.0,152.0,410.0,106.0,4.0,662.0,430.0,8.0,12.0,1.0,514.0,12.0,5.0,0.0,28.0,8.0,0.0,0.0,0.0,0.0,52.0,4.0,5.0,44.4
+Fabio Depaoli,it ITA,DF,Hellas Verona,24,1997,18.0,7.0,703.0,1.0,1.0,0.0,0.0,3.0,0.0,0.13,0.13,0.26,0.13,0.26,0.8,0.8,0.1,0.1,7.8,4.0,0.0,40.0,0.51,0.1,0.25,0.08,0.2,0.2,174.0,283.0,61.5,2825.0,1485.0,94.0,117.0,80.3,55.0,83.0,66.3,18.0,48.0,37.5,6.0,13.0,15.0,5.0,30.0,217.0,64.0,1.0,2.0,2.0,32.0,0.0,0.0,0.0,0.0,63.0,2.0,13.0,17.0,2.18,14.0,1.0,0.0,1.0,3.0,0.38,3.0,0.0,0.0,0.0,0.0,12.0,7.0,6.0,4.0,2.0,9.0,2.0,7.0,8.0,14.0,0.0,369.0,22.0,78.0,150.0,149.0,16.0,369.0,151.0,12.0,9.0,2.0,178.0,8.0,6.0,0.0,20.0,10.0,4.0,0.0,0.0,0.0,39.0,9.0,12.0,42.9
+"Fabio Depaoli,it ITA,""MF,DF"",Sampdoria,24,1997,6.0,1.0,112.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,36.0,61.1,358.0,133.0,11.0,13.0,84.6,8.0,11.0,72.7,2.0,4.0,50.0,0.0,2.0,0.0,0.0,5.0,33.0,3.0,0.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,1.0,1.0,1.0,2.0,0.0,52.0,2.0,14.0,21.0,18.0,2.0,52.0,24.0,0.0,2.0,0.0,29.0,5.0,0.0,0.0,8.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,25.0"
+Mattia Destro,it ITA,FW,Genoa,30,1991,27.0,21.0,1744.0,9.0,1.0,0.0,0.0,4.0,0.0,0.46,0.05,0.52,0.46,0.52,7.7,7.7,0.4,0.4,19.4,20.0,0.0,37.0,1.03,0.17,0.45,0.14,1.3,1.3,196.0,340.0,57.6,2598.0,672.0,123.0,189.0,65.1,53.0,95.0,55.8,8.0,16.0,50.0,11.0,25.0,6.0,1.0,26.0,295.0,44.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,3.0,1.0,12.0,31.0,1.6,20.0,0.0,4.0,3.0,4.0,0.21,2.0,0.0,0.0,1.0,0.0,9.0,4.0,1.0,4.0,4.0,14.0,1.0,13.0,2.0,16.0,0.0,566.0,15.0,44.0,291.0,232.0,80.0,566.0,270.0,13.0,7.0,10.0,409.0,66.0,25.0,0.0,40.0,31.0,19.0,0.0,0.0,0.0,30.0,62.0,110.0,36.0
+"Gerard Deulofeu,es ESP,""FW,MF"",Udinese,27,1994,34.0,31.0,2616.0,13.0,5.0,1.0,1.0,9.0,0.0,0.45,0.17,0.62,0.41,0.58,6.9,6.1,0.24,0.21,29.1,33.0,13.0,42.9,1.14,0.16,0.36,0.08,6.1,5.9,756.0,1089.0,69.4,11726.0,4368.0,409.0,481.0,85.0,241.0,322.0,74.8,66.0,156.0,42.3,83.0,63.0,73.0,1.0,154.0,870.0,212.0,62.0,7.0,2.0,166.0,123.0,36.0,55.0,1.0,11.0,7.0,47.0,149.0,5.13,85.0,39.0,8.0,7.0,11.0,0.38,6.0,2.0,2.0,1.0,0.0,11.0,6.0,2.0,3.0,6.0,14.0,0.0,14.0,9.0,4.0,0.0,1438.0,13.0,75.0,439.0,938.0,177.0,1437.0,889.0,154.0,79.0,83.0,991.0,100.0,44.0,0.0,25.0,31.0,33.0,2.0,0.0,0.0,93.0,2.0,17.0,10.5"
+Jacopo Dezi,it ITA,MF,Venezia,29,1992,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09,0.09,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,22.0,26.0,84.6,498.0,172.0,8.0,8.0,100.0,9.0,10.0,90.0,5.0,7.0,71.4,1.0,4.0,3.0,1.0,5.0,23.0,2.0,0.0,0.0,1.0,3.0,2.0,1.0,1.0,0.0,0.0,1.0,0.0,2.0,10.59,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,30.0,0.0,1.0,19.0,11.0,1.0,30.0,14.0,1.0,1.0,1.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,100.0
+Samuel Di Carmine,it ITA,FW,Hellas Verona,32,1988,1.0,0.0,36.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12,0.12,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.0,0.0,5.0,5.0,100.0,72.0,11.0,3.0,3.0,100.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,6.0,2.0,1.0,8.0,7.0,1.0,1.0,0.0,8.0,2.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,33.3
+"Federico Di Francesco,it ITA,""FW,MF"",Empoli,27,1994,26.0,17.0,1367.0,5.0,0.0,0.0,0.0,2.0,0.0,0.33,0.0,0.33,0.33,0.33,2.3,2.3,0.15,0.15,15.2,8.0,0.0,30.8,0.53,0.19,0.63,0.09,2.7,2.7,249.0,386.0,64.5,3563.0,1159.0,139.0,174.0,79.9,62.0,104.0,59.6,22.0,50.0,44.0,14.0,24.0,15.0,2.0,45.0,366.0,15.0,2.0,3.0,5.0,38.0,8.0,3.0,3.0,0.0,1.0,5.0,12.0,41.0,2.7,31.0,1.0,4.0,4.0,7.0,0.46,4.0,1.0,1.0,1.0,0.0,16.0,5.0,2.0,8.0,6.0,17.0,1.0,16.0,9.0,11.0,0.0,550.0,8.0,49.0,197.0,307.0,68.0,550.0,348.0,27.0,14.0,14.0,400.0,39.0,31.0,0.0,29.0,27.0,13.0,1.0,0.0,0.0,50.0,2.0,17.0,10.5"
+Giovanni Di Lorenzo,it ITA,DF,Napoli,27,1993,33.0,33.0,2869.0,1.0,4.0,0.0,0.0,3.0,0.0,0.03,0.13,0.16,0.03,0.16,1.1,1.1,0.03,0.03,31.9,4.0,0.0,21.1,0.13,0.05,0.25,0.06,-0.1,-0.1,2008.0,2290.0,87.7,30064.0,10413.0,1175.0,1260.0,93.3,670.0,749.0,89.5,108.0,156.0,69.2,34.0,163.0,41.0,5.0,196.0,1949.0,338.0,54.0,3.0,20.0,49.0,1.0,0.0,0.0,0.0,283.0,3.0,41.0,68.0,2.13,58.0,2.0,4.0,1.0,7.0,0.22,4.0,1.0,2.0,0.0,0.0,58.0,36.0,30.0,20.0,8.0,28.0,10.0,18.0,38.0,46.0,1.0,2579.0,103.0,682.0,1283.0,629.0,77.0,2579.0,1531.0,66.0,47.0,11.0,1775.0,24.0,26.0,0.0,37.0,46.0,8.0,1.0,0.0,0.0,168.0,44.0,28.0,61.1
+Francesco Di Mariano,it ITA,FW,Venezia,25,1996,1.0,1.0,62.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,14.0,78.6,239.0,30.0,3.0,4.0,75.0,6.0,7.0,85.7,2.0,3.0,66.7,1.0,0.0,1.0,1.0,0.0,14.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.45,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,1.0,1.0,0.0,0.0,0.0,20.0,1.0,1.0,6.0,13.0,1.0,20.0,14.0,0.0,1.0,0.0,15.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Francesco Di Tacchio,it ITA,MF,Salernitana,31,1990,18.0,14.0,1255.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.03,0.03,13.9,1.0,1.0,7.1,0.07,0.0,0.0,0.03,-0.4,-0.4,426.0,535.0,79.6,7044.0,2466.0,195.0,230.0,84.8,179.0,207.0,86.5,32.0,55.0,58.2,4.0,42.0,5.0,1.0,56.0,482.0,50.0,44.0,2.0,5.0,7.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,16.0,1.15,13.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,7.0,5.0,10.0,2.0,16.0,8.0,8.0,22.0,25.0,0.0,683.0,44.0,169.0,438.0,84.0,8.0,683.0,338.0,5.0,7.0,1.0,369.0,17.0,7.0,0.0,24.0,24.0,0.0,0.0,0.0,1.0,85.0,15.0,17.0,46.9
+Amadou Diawara,gn GUI,MF,Roma,24,1997,4.0,2.0,170.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,56.0,71.0,78.9,900.0,265.0,29.0,34.0,85.3,22.0,26.0,84.6,4.0,9.0,44.4,1.0,3.0,0.0,0.0,4.0,68.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.53,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,5.0,2.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,82.0,3.0,22.0,51.0,9.0,0.0,82.0,34.0,0.0,0.0,0.0,50.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,0.0,100.0
+Brahim Díaz,es ESP,MF,Milan,21,1999,31.0,25.0,1855.0,3.0,3.0,0.0,0.0,4.0,0.0,0.15,0.15,0.29,0.15,0.29,4.1,4.1,0.2,0.2,20.6,6.0,0.0,20.0,0.29,0.1,0.5,0.14,-1.1,-1.1,605.0,721.0,83.9,8842.0,2068.0,335.0,375.0,89.3,207.0,234.0,88.5,28.0,44.0,63.6,31.0,57.0,29.0,3.0,88.0,674.0,37.0,5.0,5.0,2.0,11.0,3.0,0.0,0.0,0.0,1.0,10.0,11.0,78.0,3.78,61.0,2.0,3.0,5.0,10.0,0.48,7.0,1.0,2.0,0.0,0.0,23.0,17.0,3.0,11.0,9.0,11.0,0.0,11.0,8.0,4.0,0.0,946.0,7.0,59.0,489.0,421.0,63.0,946.0,609.0,59.0,50.0,13.0,717.0,64.0,39.0,0.0,22.0,33.0,4.0,0.0,0.0,0.0,108.0,4.0,40.0,9.1
+"Mitchell Dijks,nl NED,""DF,FW"",Bologna,28,1993,16.0,7.0,694.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.26,0.26,0.0,0.26,0.7,0.7,0.09,0.09,7.7,0.0,0.0,0.0,0.0,0.0,0.0,0.16,-0.7,-0.7,247.0,338.0,73.1,3523.0,1620.0,147.0,169.0,87.0,78.0,114.0,68.4,14.0,27.0,51.9,7.0,12.0,4.0,4.0,15.0,263.0,75.0,1.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,74.0,0.0,15.0,12.0,1.56,8.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,6.0,6.0,6.0,3.0,11.0,2.0,9.0,3.0,10.0,1.0,427.0,18.0,147.0,156.0,131.0,13.0,427.0,228.0,21.0,13.0,4.0,254.0,12.0,4.0,0.0,10.0,10.0,0.0,0.0,0.0,0.0,44.0,9.0,4.0,69.2"
+Federico Dimarco,it ITA,DF,Inter,23,1997,32.0,13.0,1430.0,2.0,3.0,0.0,1.0,1.0,0.0,0.13,0.19,0.31,0.13,0.31,3.5,2.7,0.22,0.17,15.9,18.0,3.0,47.4,1.13,0.05,0.11,0.07,-1.5,-0.7,1000.0,1216.0,82.2,17832.0,6312.0,477.0,504.0,94.6,377.0,432.0,87.3,118.0,215.0,54.9,48.0,84.0,32.0,18.0,94.0,1027.0,187.0,36.0,0.0,14.0,151.0,74.0,16.0,47.0,0.0,60.0,2.0,20.0,88.0,5.53,42.0,30.0,10.0,1.0,8.0,0.5,3.0,3.0,2.0,0.0,0.0,28.0,15.0,10.0,15.0,3.0,6.0,1.0,5.0,19.0,19.0,0.0,1365.0,61.0,357.0,583.0,442.0,41.0,1364.0,789.0,54.0,31.0,10.0,928.0,14.0,10.0,0.0,15.0,14.0,2.0,0.0,0.0,0.0,103.0,8.0,8.0,50.0
+Filippo Distefano,it ITA,FW,Fiorentina,17,2003,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,22.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Koffi Djidji,ci CIV,DF,Torino,28,1992,25.0,21.0,1735.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.03,0.03,19.3,3.0,0.0,30.0,0.16,0.0,0.0,0.06,-0.6,-0.6,690.0,836.0,82.5,12554.0,3859.0,287.0,324.0,88.6,337.0,366.0,92.1,59.0,117.0,50.4,3.0,57.0,8.0,4.0,57.0,783.0,51.0,36.0,0.0,4.0,17.0,0.0,0.0,0.0,0.0,15.0,2.0,6.0,15.0,0.78,15.0,0.0,0.0,0.0,2.0,0.1,2.0,0.0,0.0,0.0,0.0,48.0,29.0,21.0,23.0,4.0,20.0,9.0,11.0,34.0,60.0,0.0,1073.0,79.0,416.0,541.0,120.0,10.0,1073.0,565.0,18.0,16.0,2.0,591.0,15.0,9.0,1.0,25.0,7.0,1.0,0.0,3.0,0.0,113.0,45.0,41.0,52.3
+Berat Djimsiti,al ALB,DF,Atalanta,28,1993,31.0,25.0,2256.0,1.0,1.0,0.0,0.0,6.0,0.0,0.04,0.04,0.08,0.04,0.08,1.9,1.9,0.07,0.07,25.1,3.0,0.0,16.7,0.12,0.06,0.33,0.1,-0.9,-0.9,1192.0,1435.0,83.1,19624.0,7246.0,589.0,660.0,89.2,471.0,530.0,88.9,97.0,169.0,57.4,13.0,99.0,18.0,7.0,100.0,1348.0,84.0,40.0,0.0,14.0,11.0,0.0,0.0,0.0,0.0,44.0,3.0,16.0,23.0,0.92,16.0,0.0,5.0,0.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,43.0,24.0,21.0,20.0,2.0,21.0,11.0,10.0,31.0,56.0,0.0,1663.0,112.0,645.0,839.0,188.0,24.0,1663.0,909.0,19.0,19.0,0.0,1042.0,18.0,3.0,0.0,21.0,14.0,1.0,0.0,1.0,1.0,144.0,57.0,27.0,67.9
+Nicolás Domínguez,ar ARG,MF,Bologna,23,1998,28.0,23.0,2015.0,0.0,3.0,0.0,0.0,8.0,0.0,0.0,0.13,0.13,0.0,0.13,1.2,1.2,0.05,0.05,22.4,3.0,0.0,14.3,0.13,0.0,0.0,0.06,-1.2,-1.2,994.0,1203.0,82.6,16850.0,5280.0,484.0,553.0,87.5,375.0,426.0,88.0,103.0,154.0,66.9,27.0,108.0,29.0,4.0,113.0,1134.0,66.0,45.0,7.0,12.0,14.0,0.0,0.0,0.0,0.0,3.0,3.0,19.0,61.0,2.72,52.0,1.0,5.0,1.0,4.0,0.18,4.0,0.0,0.0,0.0,0.0,76.0,45.0,36.0,32.0,8.0,38.0,9.0,29.0,32.0,34.0,1.0,1484.0,71.0,358.0,891.0,248.0,31.0,1484.0,717.0,18.0,21.0,1.0,904.0,34.0,21.0,0.0,26.0,39.0,0.0,0.0,0.0,0.0,158.0,32.0,29.0,52.5
+Bartłomiej Drągowski,pl POL,GK,Fiorentina,23,1997,7.0,7.0,556.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,276.0,345.0,80.0,7422.0,4533.0,50.0,50.0,100.0,128.0,136.0,94.1,97.0,156.0,62.2,0.0,4.0,0.0,0.0,0.0,294.0,49.0,10.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,2.0,366.0,251.0,363.0,4.0,0.0,0.0,366.0,236.0,0.0,0.0,0.0,247.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0
+Radu Drăgușin,ro ROU,DF,Sampdoria,19,2002,13.0,4.0,620.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.2,-0.2,178.0,261.0,68.2,3458.0,1283.0,54.0,70.0,77.1,99.0,134.0,73.9,19.0,44.0,43.2,3.0,14.0,2.0,1.0,13.0,212.0,48.0,10.0,1.0,2.0,4.0,0.0,0.0,0.0,0.0,38.0,1.0,2.0,5.0,0.73,4.0,1.0,0.0,0.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,4.0,3.0,2.0,2.0,0.0,8.0,4.0,4.0,10.0,33.0,0.0,337.0,44.0,154.0,142.0,45.0,2.0,337.0,140.0,6.0,4.0,0.0,132.0,2.0,4.0,0.0,6.0,5.0,1.0,0.0,0.0,0.0,49.0,14.0,7.0,66.7
+Radu Drăgușin,ro ROU,DF,Salernitana,19,2002,7.0,5.0,488.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,131.0,163.0,80.4,2517.0,1000.0,50.0,59.0,84.7,64.0,74.0,86.5,15.0,24.0,62.5,1.0,7.0,0.0,0.0,9.0,145.0,18.0,14.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,3.0,0.55,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,2.0,3.0,0.0,7.0,3.0,4.0,13.0,17.0,0.0,215.0,36.0,109.0,102.0,9.0,2.0,215.0,107.0,1.0,3.0,2.0,96.0,3.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,28.0,7.0,7.0,50.0
+Denzel Dumfries,nl NED,DF,Inter,25,1996,33.0,21.0,2028.0,5.0,4.0,0.0,0.0,3.0,0.0,0.22,0.18,0.4,0.22,0.4,5.2,5.2,0.23,0.23,22.5,17.0,0.0,44.7,0.75,0.13,0.29,0.14,-0.2,-0.2,630.0,860.0,73.3,9792.0,2884.0,335.0,400.0,83.8,244.0,332.0,73.5,32.0,64.0,50.0,28.0,31.0,22.0,7.0,58.0,712.0,143.0,2.0,0.0,2.0,36.0,0.0,0.0,0.0,0.0,141.0,5.0,30.0,63.0,2.79,49.0,4.0,4.0,3.0,7.0,0.31,5.0,1.0,0.0,1.0,0.0,32.0,12.0,9.0,14.0,9.0,15.0,6.0,9.0,9.0,26.0,0.0,1088.0,35.0,200.0,376.0,523.0,127.0,1088.0,568.0,55.0,24.0,27.0,683.0,39.0,23.0,0.0,32.0,37.0,4.0,2.0,1.0,0.0,89.0,43.0,32.0,57.3
+Alfred Duncan,gh GHA,MF,Fiorentina,28,1993,33.0,21.0,1931.0,2.0,2.0,0.0,0.0,3.0,0.0,0.09,0.09,0.19,0.09,0.19,0.9,0.9,0.04,0.04,21.5,3.0,0.0,27.3,0.14,0.18,0.67,0.08,1.1,1.1,740.0,947.0,78.1,14309.0,4015.0,304.0,361.0,84.2,298.0,365.0,81.6,121.0,160.0,75.6,26.0,101.0,27.0,9.0,129.0,918.0,23.0,11.0,4.0,20.0,44.0,3.0,1.0,0.0,0.0,9.0,6.0,26.0,50.0,2.33,45.0,1.0,2.0,1.0,4.0,0.19,4.0,0.0,0.0,0.0,0.0,34.0,19.0,13.0,16.0,5.0,32.0,3.0,29.0,10.0,7.0,0.0,1103.0,18.0,168.0,645.0,311.0,29.0,1103.0,685.0,29.0,27.0,6.0,808.0,26.0,16.0,0.0,22.0,13.0,0.0,0.0,0.0,0.0,92.0,9.0,17.0,34.6
+"Paulo Dybala,ar ARG,""FW,MF"",Juventus,27,1993,29.0,26.0,2061.0,10.0,5.0,1.0,2.0,3.0,0.0,0.44,0.22,0.66,0.39,0.61,7.6,6.0,0.33,0.26,22.9,36.0,10.0,37.1,1.57,0.09,0.25,0.06,2.4,3.0,912.0,1137.0,80.2,15325.0,3164.0,475.0,544.0,87.3,299.0,349.0,85.7,106.0,160.0,66.3,38.0,71.0,27.0,6.0,103.0,1010.0,120.0,29.0,9.0,25.0,66.0,40.0,12.0,20.0,0.0,10.0,7.0,27.0,113.0,4.93,73.0,12.0,7.0,8.0,13.0,0.57,10.0,3.0,0.0,0.0,0.0,30.0,13.0,7.0,14.0,9.0,19.0,0.0,19.0,9.0,4.0,3.0,1451.0,5.0,155.0,690.0,628.0,86.0,1449.0,909.0,50.0,42.0,24.0,1100.0,70.0,28.0,0.0,16.0,48.0,6.0,0.0,0.0,0.0,103.0,10.0,19.0,34.5"
+Edin Džeko,ba BIH,FW,Inter,35,1986,36.0,27.0,2469.0,13.0,6.0,0.0,0.0,2.0,0.0,0.47,0.22,0.69,0.47,0.69,14.8,14.8,0.54,0.54,27.4,37.0,0.0,42.5,1.35,0.15,0.35,0.17,-1.8,-1.8,568.0,804.0,70.6,9317.0,2428.0,303.0,393.0,77.1,182.0,250.0,72.8,58.0,90.0,64.4,38.0,60.0,34.0,7.0,107.0,774.0,29.0,1.0,2.0,11.0,35.0,0.0,0.0,0.0,0.0,2.0,1.0,28.0,92.0,3.35,76.0,0.0,7.0,5.0,17.0,0.62,14.0,0.0,2.0,1.0,0.0,14.0,8.0,7.0,4.0,3.0,22.0,5.0,17.0,4.0,35.0,0.0,1139.0,49.0,121.0,503.0,524.0,178.0,1139.0,614.0,47.0,26.0,23.0,891.0,78.0,31.0,0.0,27.0,39.0,5.0,2.0,0.0,0.0,81.0,84.0,74.0,53.2
+Tyronne Ebuehi,ng NGA,DF,Venezia,25,1995,19.0,12.0,1138.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.05,0.05,12.6,1.0,0.0,14.3,0.08,0.0,0.0,0.08,-0.6,-0.6,392.0,506.0,77.5,6438.0,2173.0,193.0,225.0,85.8,158.0,197.0,80.2,30.0,48.0,62.5,5.0,16.0,9.0,5.0,29.0,407.0,99.0,5.0,0.0,0.0,28.0,0.0,0.0,0.0,0.0,94.0,0.0,20.0,19.0,1.5,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,12.0,16.0,8.0,4.0,13.0,3.0,10.0,16.0,38.0,1.0,655.0,50.0,279.0,225.0,158.0,16.0,655.0,293.0,29.0,20.0,3.0,330.0,15.0,5.0,0.0,22.0,4.0,1.0,0.0,0.0,0.0,61.0,15.0,18.0,45.5
+Éderson,br BRA,MF,Salernitana,22,1999,15.0,13.0,1147.0,2.0,1.0,0.0,0.0,5.0,0.0,0.16,0.08,0.24,0.16,0.24,2.0,2.0,0.16,0.16,12.7,9.0,0.0,42.9,0.71,0.1,0.22,0.1,0.0,0.0,297.0,370.0,80.3,4681.0,1156.0,152.0,177.0,85.9,110.0,126.0,87.3,21.0,30.0,70.0,9.0,31.0,6.0,0.0,34.0,366.0,3.0,3.0,1.0,9.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,13.0,31.0,2.43,21.0,0.0,2.0,7.0,2.0,0.16,1.0,0.0,0.0,1.0,0.0,29.0,18.0,11.0,14.0,4.0,11.0,2.0,9.0,19.0,8.0,0.0,547.0,21.0,122.0,293.0,145.0,26.0,547.0,341.0,25.0,27.0,4.0,353.0,24.0,17.0,0.0,18.0,34.0,1.0,0.0,0.0,0.0,62.0,11.0,17.0,39.3
+Albin Ekdal,se SWE,MF,Sampdoria,32,1989,26.0,19.0,1637.0,1.0,0.0,0.0,0.0,11.0,1.0,0.05,0.0,0.05,0.05,0.05,0.9,0.9,0.05,0.05,18.2,2.0,0.0,14.3,0.11,0.07,0.5,0.06,0.1,0.1,589.0,747.0,78.8,9577.0,2870.0,298.0,358.0,83.2,225.0,268.0,84.0,50.0,77.0,64.9,7.0,48.0,5.0,0.0,62.0,692.0,53.0,51.0,2.0,4.0,2.0,0.0,0.0,0.0,0.0,2.0,2.0,14.0,19.0,1.05,14.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,28.0,17.0,21.0,5.0,27.0,7.0,20.0,29.0,25.0,0.0,941.0,51.0,279.0,547.0,126.0,24.0,941.0,455.0,10.0,11.0,1.0,511.0,13.0,11.0,1.0,31.0,39.0,0.0,0.0,0.0,0.0,144.0,24.0,17.0,58.5
+"Caleb Ekuban,gh GHA,""FW,MF"",Genoa,27,1994,30.0,18.0,1716.0,1.0,2.0,0.0,0.0,2.0,0.0,0.05,0.1,0.16,0.05,0.16,3.5,3.5,0.18,0.18,19.1,7.0,0.0,18.4,0.37,0.03,0.14,0.09,-2.5,-2.5,297.0,431.0,68.9,3795.0,826.0,197.0,258.0,76.4,71.0,97.0,73.2,11.0,17.0,64.7,16.0,16.0,10.0,1.0,31.0,413.0,18.0,1.0,2.0,2.0,13.0,0.0,0.0,0.0,0.0,2.0,0.0,17.0,38.0,1.99,28.0,0.0,3.0,4.0,5.0,0.26,3.0,0.0,0.0,0.0,0.0,19.0,12.0,2.0,12.0,5.0,19.0,5.0,14.0,9.0,6.0,0.0,687.0,16.0,70.0,327.0,299.0,83.0,687.0,394.0,31.0,17.0,21.0,483.0,73.0,38.0,0.0,22.0,32.0,2.0,0.0,0.0,0.0,78.0,36.0,51.0,41.4"
+"Elif Elmas,mk MKD,""FW,MF"",Napoli,21,1999,37.0,12.0,1620.0,3.0,4.0,0.0,0.0,3.0,0.0,0.17,0.22,0.39,0.17,0.39,2.3,2.3,0.13,0.13,18.0,11.0,0.0,33.3,0.61,0.09,0.27,0.07,0.7,0.7,705.0,817.0,86.3,8943.0,1883.0,473.0,514.0,92.0,160.0,180.0,88.9,28.0,45.0,62.2,24.0,54.0,17.0,0.0,53.0,784.0,28.0,5.0,3.0,2.0,10.0,9.0,4.0,1.0,0.0,7.0,5.0,17.0,59.0,3.28,42.0,2.0,4.0,3.0,9.0,0.5,6.0,1.0,0.0,1.0,1.0,25.0,15.0,10.0,10.0,5.0,13.0,2.0,11.0,8.0,17.0,0.0,986.0,27.0,115.0,512.0,370.0,50.0,986.0,669.0,59.0,45.0,19.0,804.0,23.0,23.0,0.0,27.0,30.0,2.0,1.0,0.0,0.0,64.0,7.0,22.0,24.1"
+Martin Erlic,hr CRO,DF,Spezia,23,1998,30.0,30.0,2576.0,2.0,0.0,0.0,0.0,5.0,0.0,0.07,0.0,0.07,0.07,0.07,3.0,3.0,0.1,0.1,28.6,3.0,0.0,20.0,0.1,0.13,0.67,0.2,-1.0,-1.0,882.0,1101.0,80.1,18586.0,6448.0,256.0,297.0,86.2,490.0,554.0,88.4,132.0,226.0,58.4,5.0,34.0,1.0,0.0,32.0,1036.0,60.0,56.0,2.0,12.0,2.0,0.0,0.0,0.0,0.0,1.0,5.0,8.0,11.0,0.38,7.0,0.0,1.0,3.0,2.0,0.07,0.0,0.0,1.0,1.0,0.0,28.0,16.0,18.0,10.0,0.0,54.0,39.0,15.0,28.0,122.0,1.0,1383.0,265.0,887.0,463.0,40.0,30.0,1383.0,662.0,6.0,5.0,0.0,751.0,14.0,2.0,0.0,28.0,20.0,0.0,2.0,2.0,0.0,134.0,55.0,40.0,57.9
+Gonzalo Escalante,ar ARG,MF,Lazio,28,1993,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,5.0,80.0,79.0,8.0,1.0,1.0,100.0,2.0,3.0,66.7,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,10.0,2.0,6.0,3.0,1.0,0.0,10.0,3.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Diego Falcinelli,it ITA,FW,Bologna,30,1991,6.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.78,0.78,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.11,-0.6,-0.6,13.0,22.0,59.1,185.0,11.0,9.0,17.0,52.9,1.0,1.0,100.0,2.0,2.0,100.0,0.0,0.0,1.0,0.0,2.0,21.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.36,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,45.0,1.0,5.0,17.0,24.0,9.0,45.0,26.0,1.0,1.0,0.0,33.0,6.0,3.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,5.0,5.0,6.0,45.5
+Wladimiro Falcone,it ITA,GK,Sampdoria,26,1995,10.0,9.0,855.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,260.0,359.0,72.4,7566.0,5437.0,54.0,55.0,98.2,98.0,100.0,98.0,106.0,201.0,52.7,0.0,2.0,0.0,0.0,0.0,261.0,97.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.0,389.0,355.0,387.0,1.0,1.0,0.0,389.0,226.0,0.0,0.0,0.0,179.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,3.0,0.0,100.0
+Paolo Faragò,it ITA,MF,Cagliari,28,1993,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,2.44,2.44,0.2,1.0,0.0,50.0,5.63,0.0,0.0,0.22,-0.4,-0.4,6.0,8.0,75.0,78.0,3.0,4.0,5.0,80.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,15.0,0.0,5.0,5.0,7.0,3.0,15.0,7.0,1.0,1.0,0.0,7.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
+Davide Faraoni,it ITA,DF,Hellas Verona,29,1991,32.0,30.0,2572.0,4.0,5.0,0.0,0.0,8.0,1.0,0.14,0.17,0.31,0.14,0.31,3.0,3.0,0.11,0.11,28.6,9.0,0.0,30.0,0.31,0.13,0.44,0.1,1.0,1.0,923.0,1359.0,67.9,16038.0,7594.0,459.0,559.0,82.1,330.0,459.0,71.9,111.0,241.0,46.1,20.0,83.0,48.0,16.0,123.0,1058.0,289.0,13.0,3.0,16.0,82.0,0.0,0.0,0.0,0.0,276.0,12.0,33.0,47.0,1.64,35.0,3.0,5.0,3.0,8.0,0.28,7.0,0.0,1.0,0.0,0.0,62.0,40.0,38.0,21.0,3.0,38.0,5.0,33.0,23.0,62.0,1.0,1715.0,94.0,440.0,784.0,503.0,55.0,1715.0,714.0,31.0,19.0,6.0,891.0,50.0,14.0,1.0,27.0,34.0,5.0,0.0,1.0,0.0,193.0,45.0,50.0,47.4
+"Mohamed Fares,dz ALG,""DF,FW"",Genoa,25,1996,9.0,6.0,587.0,2.0,1.0,0.0,0.0,2.0,0.0,0.31,0.15,0.46,0.31,0.46,1.1,1.1,0.17,0.17,6.5,3.0,0.0,23.1,0.46,0.15,0.67,0.08,0.9,0.9,177.0,257.0,68.9,2955.0,1077.0,108.0,134.0,80.6,45.0,69.0,65.2,22.0,36.0,61.1,5.0,10.0,10.0,6.0,15.0,204.0,48.0,4.0,1.0,2.0,24.0,0.0,0.0,0.0,0.0,44.0,5.0,8.0,21.0,3.23,13.0,3.0,4.0,1.0,3.0,0.46,3.0,0.0,0.0,0.0,0.0,4.0,2.0,1.0,3.0,0.0,8.0,3.0,5.0,8.0,11.0,0.0,331.0,9.0,82.0,141.0,114.0,16.0,331.0,173.0,16.0,12.0,1.0,187.0,10.0,10.0,0.0,10.0,6.0,0.0,0.0,0.0,0.0,43.0,9.0,14.0,39.1"
+"Diego Farias,br BRA,""MF,FW"",Cagliari,31,1990,4.0,0.0,66.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,0.06,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,29.0,35.0,82.9,473.0,51.0,14.0,16.0,87.5,11.0,13.0,84.6,2.0,3.0,66.7,0.0,0.0,0.0,0.0,1.0,34.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,2.0,15.0,21.0,1.0,38.0,25.0,2.0,0.0,1.0,28.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,33.3"
+Andrea Favilli,it ITA,FW,Genoa,24,1997,1.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,6.0,83.3,57.0,0.0,5.0,6.0,83.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,11.0,2.0,3.0,4.0,4.0,2.0,11.0,8.0,0.0,0.0,1.0,8.0,3.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Federico Fazio,ar ARG,DF,Salernitana,34,1987,16.0,16.0,1434.0,1.0,0.0,0.0,0.0,3.0,1.0,0.06,0.0,0.06,0.06,0.06,1.5,1.5,0.09,0.09,15.9,3.0,0.0,18.8,0.19,0.06,0.33,0.09,-0.5,-0.5,512.0,634.0,80.8,9331.0,3677.0,207.0,232.0,89.2,249.0,299.0,83.3,47.0,80.0,58.8,8.0,32.0,4.0,2.0,40.0,581.0,51.0,34.0,1.0,4.0,6.0,0.0,0.0,0.0,0.0,17.0,2.0,6.0,17.0,1.07,13.0,0.0,2.0,0.0,2.0,0.13,1.0,0.0,1.0,0.0,0.0,17.0,11.0,10.0,6.0,1.0,21.0,16.0,5.0,27.0,67.0,1.0,817.0,107.0,347.0,403.0,77.0,27.0,817.0,361.0,19.0,16.0,4.0,418.0,12.0,3.0,1.0,16.0,15.0,1.0,0.0,2.0,0.0,84.0,54.0,22.0,71.1
+Luiz Felipe,it ITA,DF,Lazio,24,1997,31.0,28.0,2491.0,0.0,0.0,0.0,0.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.01,0.01,27.7,1.0,0.0,20.0,0.04,0.0,0.0,0.06,-0.3,-0.3,1668.0,1825.0,91.4,29597.0,11624.0,649.0,696.0,93.2,821.0,868.0,94.6,135.0,175.0,77.1,3.0,92.0,4.0,1.0,78.0,1757.0,65.0,51.0,1.0,11.0,2.0,0.0,0.0,0.0,0.0,11.0,3.0,10.0,14.0,0.51,12.0,0.0,0.0,1.0,1.0,0.04,0.0,0.0,0.0,1.0,0.0,41.0,23.0,21.0,16.0,4.0,40.0,33.0,7.0,33.0,102.0,1.0,2079.0,282.0,1046.0,997.0,44.0,10.0,2079.0,1215.0,12.0,9.0,0.0,1499.0,9.0,6.0,0.0,28.0,16.0,0.0,1.0,0.0,0.0,133.0,43.0,42.0,50.6
+Alex Ferrari,it ITA,DF,Sampdoria,27,1994,23.0,20.0,1643.0,1.0,0.0,0.0,0.0,4.0,0.0,0.05,0.0,0.05,0.05,0.05,0.6,0.6,0.03,0.03,18.3,1.0,0.0,25.0,0.05,0.25,1.0,0.14,0.4,0.4,683.0,823.0,83.0,13341.0,4623.0,197.0,229.0,86.0,418.0,456.0,91.7,59.0,108.0,54.6,2.0,37.0,3.0,1.0,39.0,749.0,72.0,47.0,1.0,2.0,7.0,0.0,0.0,0.0,0.0,23.0,2.0,13.0,10.0,0.55,8.0,1.0,1.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,40.0,22.0,28.0,9.0,3.0,31.0,22.0,9.0,39.0,63.0,1.0,1032.0,142.0,571.0,431.0,36.0,4.0,1032.0,544.0,7.0,7.0,1.0,581.0,10.0,3.0,0.0,29.0,24.0,0.0,0.0,1.0,0.0,109.0,23.0,21.0,52.3
+"Salvador Ferrer,es ESP,""DF,MF"",Spezia,23,1998,27.0,14.0,1495.0,0.0,3.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.2,0.2,0.01,0.01,16.6,1.0,0.0,16.7,0.06,0.0,0.0,0.04,-0.2,-0.2,573.0,763.0,75.1,10266.0,3534.0,242.0,293.0,82.6,258.0,324.0,79.6,62.0,103.0,60.2,15.0,50.0,16.0,11.0,67.0,640.0,121.0,9.0,0.0,4.0,44.0,3.0,1.0,2.0,0.0,109.0,2.0,15.0,31.0,1.87,25.0,4.0,0.0,0.0,4.0,0.24,3.0,0.0,0.0,0.0,1.0,32.0,18.0,15.0,9.0,8.0,24.0,12.0,12.0,18.0,46.0,0.0,927.0,71.0,305.0,428.0,199.0,8.0,927.0,419.0,24.0,18.0,2.0,484.0,11.0,10.0,0.0,13.0,10.0,0.0,0.0,0.0,0.0,82.0,34.0,23.0,59.6"
+Riccardo Fiamozzi,it ITA,DF,Empoli,28,1993,10.0,7.0,620.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.15,0.15,0.0,0.15,0.0,0.0,0.0,0.0,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,291.0,387.0,75.2,5066.0,2188.0,134.0,155.0,86.5,105.0,133.0,78.9,36.0,61.0,59.0,6.0,23.0,6.0,3.0,23.0,302.0,85.0,6.0,0.0,6.0,11.0,0.0,0.0,0.0,0.0,79.0,0.0,15.0,9.0,1.3,5.0,3.0,0.0,0.0,2.0,0.29,1.0,1.0,0.0,0.0,0.0,7.0,5.0,2.0,2.0,3.0,6.0,5.0,1.0,7.0,12.0,0.0,438.0,21.0,143.0,210.0,87.0,2.0,438.0,201.0,10.0,11.0,0.0,237.0,4.0,4.0,0.0,3.0,7.0,0.0,0.0,1.0,0.0,42.0,4.0,6.0,40.0
+Luca Fiordilino,it ITA,MF,Venezia,25,1996,15.0,5.0,661.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.03,0.03,7.3,1.0,0.0,33.3,0.14,0.0,0.0,0.07,-0.2,-0.2,260.0,307.0,84.7,4177.0,1037.0,129.0,144.0,89.6,90.0,97.0,92.8,25.0,34.0,73.5,6.0,19.0,4.0,4.0,23.0,298.0,8.0,5.0,0.0,3.0,9.0,1.0,0.0,0.0,0.0,0.0,1.0,10.0,15.0,2.04,13.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,11.0,6.0,4.0,14.0,4.0,10.0,11.0,12.0,0.0,387.0,23.0,128.0,203.0,61.0,10.0,387.0,206.0,3.0,3.0,1.0,246.0,10.0,8.0,0.0,5.0,10.0,2.0,0.0,0.0,0.0,50.0,9.0,3.0,75.0
+Vincenzo Fiorillo,it ITA,GK,Salernitana,31,1990,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,31.0,74.2,897.0,732.0,0.0,0.0,0.0,8.0,8.0,100.0,15.0,23.0,65.2,0.0,0.0,0.0,0.0,0.0,19.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,35.0,33.0,35.0,0.0,0.0,0.0,35.0,16.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+"Alessandro Florenzi,it ITA,""DF,FW"",Milan,30,1991,24.0,12.0,1152.0,2.0,0.0,0.0,0.0,2.0,0.0,0.16,0.0,0.16,0.16,0.16,0.7,0.7,0.06,0.06,12.8,6.0,2.0,27.3,0.47,0.09,0.33,0.03,1.3,1.3,646.0,812.0,79.6,11893.0,3909.0,290.0,316.0,91.8,261.0,302.0,86.4,82.0,151.0,54.3,11.0,62.0,21.0,8.0,68.0,686.0,121.0,23.0,4.0,11.0,56.0,19.0,9.0,5.0,0.0,79.0,5.0,17.0,34.0,2.65,25.0,6.0,1.0,1.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,28.0,14.0,14.0,7.0,7.0,9.0,2.0,7.0,27.0,10.0,1.0,925.0,31.0,223.0,496.0,217.0,20.0,925.0,493.0,30.0,16.0,4.0,584.0,11.0,1.0,0.0,10.0,8.0,3.0,0.0,0.0,0.0,79.0,9.0,9.0,50.0"
+"Fernando Forestieri,it ITA,""FW,MF"",Udinese,31,1990,4.0,0.0,58.0,2.0,1.0,0.0,0.0,1.0,0.0,3.1,1.55,4.66,3.1,4.66,1.1,1.1,1.75,1.75,0.6,2.0,1.0,66.7,3.1,0.67,1.0,0.37,0.9,0.9,18.0,24.0,75.0,224.0,91.0,12.0,12.0,100.0,3.0,6.0,50.0,1.0,3.0,33.3,1.0,2.0,2.0,1.0,3.0,20.0,4.0,1.0,0.0,0.0,4.0,1.0,1.0,0.0,0.0,2.0,0.0,1.0,4.0,6.32,1.0,1.0,0.0,2.0,1.0,1.58,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,33.0,1.0,4.0,9.0,20.0,4.0,33.0,16.0,2.0,2.0,0.0,21.0,2.0,0.0,0.0,3.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0"
+Francesco Forte,it ITA,FW,Venezia,28,1993,12.0,4.0,422.0,1.0,0.0,0.0,0.0,3.0,0.0,0.21,0.0,0.21,0.21,0.21,1.0,1.0,0.23,0.23,4.7,2.0,0.0,18.2,0.43,0.09,0.5,0.09,0.0,0.0,52.0,75.0,69.3,672.0,159.0,31.0,42.0,73.8,19.0,27.0,70.4,0.0,1.0,0.0,4.0,2.0,3.0,0.0,7.0,71.0,4.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.0,1.79,5.0,0.0,2.0,0.0,1.0,0.22,1.0,0.0,0.0,0.0,0.0,3.0,2.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,118.0,2.0,10.0,62.0,49.0,19.0,118.0,46.0,3.0,3.0,1.0,82.0,13.0,2.0,0.0,11.0,7.0,2.0,0.0,0.0,0.0,14.0,18.0,16.0,52.9
+"Gianluca Frabotta,it ITA,""DF,MF"",Hellas Verona,22,1999,2.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,10.0,40.0,53.0,31.0,1.0,4.0,25.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,12.0,1.0,1.0,5.0,6.0,1.0,12.0,4.0,1.0,1.0,0.0,6.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,33.3"
+Davide Frattesi,it ITA,MF,Sassuolo,21,1999,36.0,35.0,2854.0,4.0,3.0,0.0,0.0,6.0,0.0,0.13,0.09,0.22,0.13,0.22,5.9,5.9,0.19,0.19,31.7,20.0,0.0,29.9,0.63,0.06,0.2,0.09,-1.9,-1.9,1035.0,1249.0,82.9,15946.0,3992.0,565.0,644.0,87.7,369.0,420.0,87.9,61.0,88.0,69.3,30.0,86.0,21.0,3.0,113.0,1216.0,29.0,22.0,5.0,12.0,14.0,0.0,0.0,0.0,0.0,7.0,4.0,33.0,88.0,2.77,67.0,1.0,7.0,5.0,8.0,0.25,4.0,0.0,1.0,2.0,0.0,46.0,16.0,26.0,18.0,2.0,44.0,12.0,32.0,29.0,62.0,1.0,1642.0,103.0,376.0,880.0,419.0,86.0,1642.0,923.0,79.0,61.0,20.0,1186.0,59.0,22.0,0.0,46.0,57.0,0.0,2.0,1.0,1.0,143.0,26.0,40.0,39.4
+"Morten Frendrup,dk DEN,""DF,MF"",Genoa,20,2001,10.0,6.0,695.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.06,0.06,7.7,2.0,0.0,50.0,0.26,0.0,0.0,0.12,-0.5,-0.5,239.0,349.0,68.5,3865.0,1541.0,114.0,141.0,80.9,92.0,127.0,72.4,21.0,44.0,47.7,4.0,22.0,4.0,2.0,25.0,277.0,72.0,3.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,69.0,0.0,14.0,14.0,1.81,9.0,0.0,1.0,0.0,2.0,0.26,1.0,0.0,0.0,0.0,1.0,40.0,24.0,19.0,13.0,8.0,19.0,2.0,17.0,17.0,7.0,1.0,461.0,13.0,120.0,247.0,99.0,5.0,461.0,170.0,13.0,8.0,2.0,162.0,15.0,3.0,0.0,10.0,4.0,0.0,0.0,0.0,0.0,70.0,12.0,10.0,54.5"
+Remo Freuler,ch SUI,MF,Atalanta,29,1992,29.0,28.0,2369.0,1.0,3.0,0.0,0.0,10.0,0.0,0.04,0.11,0.15,0.04,0.15,1.4,1.4,0.05,0.05,26.3,6.0,0.0,30.0,0.23,0.05,0.17,0.07,-0.4,-0.4,1486.0,1728.0,86.0,23572.0,7197.0,728.0,796.0,91.5,621.0,697.0,89.1,85.0,131.0,64.9,23.0,178.0,38.0,4.0,208.0,1644.0,79.0,64.0,2.0,13.0,25.0,1.0,0.0,0.0,0.0,14.0,5.0,25.0,71.0,2.7,61.0,5.0,2.0,1.0,6.0,0.23,5.0,1.0,0.0,0.0,0.0,69.0,39.0,22.0,33.0,14.0,48.0,8.0,40.0,35.0,26.0,1.0,2036.0,55.0,343.0,1162.0,546.0,37.0,2036.0,1187.0,52.0,52.0,7.0,1423.0,40.0,24.0,0.0,43.0,28.0,0.0,0.0,1.0,1.0,186.0,20.0,24.0,45.5
+Matteo Gabbia,it ITA,DF,Milan,21,1999,8.0,6.0,537.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.1,-0.1,377.0,437.0,86.3,7780.0,2598.0,104.0,119.0,87.4,211.0,227.0,93.0,59.0,84.0,70.2,1.0,21.0,2.0,0.0,22.0,417.0,19.0,11.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,3.0,0.5,3.0,0.0,0.0,0.0,2.0,0.34,2.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,3.0,0.0,2.0,2.0,0.0,8.0,12.0,0.0,471.0,50.0,256.0,208.0,9.0,6.0,471.0,289.0,3.0,0.0,0.0,344.0,2.0,0.0,0.0,7.0,2.0,0.0,0.0,0.0,0.0,25.0,13.0,8.0,61.9
+"Manolo Gabbiadini,it ITA,""FW,MF"",Sampdoria,29,1991,18.0,15.0,1140.0,6.0,2.0,0.0,0.0,3.0,0.0,0.47,0.16,0.63,0.47,0.63,3.9,3.9,0.31,0.31,12.7,20.0,3.0,45.5,1.58,0.14,0.3,0.09,2.1,2.1,213.0,338.0,63.0,2869.0,943.0,129.0,167.0,77.2,58.0,93.0,62.4,11.0,38.0,28.9,17.0,20.0,11.0,4.0,29.0,313.0,23.0,4.0,3.0,1.0,24.0,11.0,3.0,4.0,0.0,3.0,2.0,13.0,37.0,2.92,23.0,4.0,8.0,2.0,4.0,0.32,2.0,0.0,2.0,0.0,0.0,6.0,4.0,3.0,2.0,1.0,5.0,2.0,3.0,3.0,10.0,0.0,465.0,14.0,53.0,220.0,193.0,32.0,465.0,270.0,13.0,9.0,3.0,342.0,29.0,16.0,0.0,12.0,16.0,6.0,0.0,0.0,0.0,37.0,16.0,32.0,33.3"
+Gianluca Gaetano,it ITA,MF,Napoli,21,2000,2.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,113.0,31.0,6.0,7.0,85.7,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,16.0,0.0,5.0,8.0,3.0,0.0,16.0,10.0,0.0,0.0,0.0,8.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,2.0,2.0,50.0
+"Luca Gagliano,it ITA,""FW,DF"",Cagliari,21,2000,2.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,6.0,50.0,51.0,5.0,1.0,1.0,100.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,9.0,1.0,2.0,4.0,3.0,1.0,9.0,5.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,0.0"
+Roberto Gagliardini,it ITA,MF,Inter,27,1994,18.0,6.0,649.0,2.0,2.0,0.0,0.0,2.0,0.0,0.28,0.28,0.55,0.28,0.55,0.9,0.9,0.13,0.13,7.2,4.0,0.0,50.0,0.55,0.25,0.5,0.12,1.1,1.1,285.0,336.0,84.8,4261.0,1080.0,167.0,186.0,89.8,99.0,113.0,87.6,13.0,22.0,59.1,6.0,27.0,3.0,0.0,33.0,330.0,5.0,3.0,1.0,2.0,5.0,0.0,0.0,0.0,0.0,2.0,1.0,7.0,17.0,2.37,14.0,0.0,2.0,1.0,2.0,0.28,2.0,0.0,0.0,0.0,0.0,12.0,6.0,7.0,4.0,1.0,14.0,5.0,9.0,9.0,7.0,0.0,423.0,14.0,78.0,218.0,130.0,18.0,423.0,228.0,8.0,9.0,1.0,296.0,13.0,7.0,0.0,24.0,16.0,0.0,0.0,0.0,0.0,40.0,14.0,14.0,50.0
+Riccardo Gagliolo,se SWE,DF,Salernitana,31,1990,17.0,12.0,1138.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.08,0.08,0.0,0.08,0.5,0.5,0.04,0.04,12.6,1.0,0.0,12.5,0.08,0.0,0.0,0.06,-0.5,-0.5,392.0,510.0,76.9,7567.0,3287.0,134.0,166.0,80.7,199.0,239.0,83.3,50.0,82.0,61.0,2.0,37.0,3.0,3.0,46.0,463.0,45.0,20.0,0.0,2.0,15.0,0.0,0.0,0.0,0.0,25.0,2.0,9.0,7.0,0.55,3.0,1.0,2.0,0.0,1.0,0.08,0.0,0.0,1.0,0.0,0.0,23.0,12.0,16.0,4.0,3.0,15.0,8.0,7.0,28.0,52.0,0.0,651.0,83.0,315.0,283.0,63.0,11.0,651.0,318.0,10.0,4.0,0.0,318.0,6.0,3.0,0.0,8.0,12.0,0.0,0.0,0.0,0.0,68.0,14.0,11.0,56.0
+Nicolas Galazzi,it ITA,MF,Venezia,20,2000,1.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,8.0,62.5,68.0,14.0,2.0,3.0,66.7,3.0,4.0,75.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,1.0,1.0,1.0,10.0,1.0,12.0,6.0,0.0,1.0,0.0,7.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+Pablo Galdames Millán,cl CHI,MF,Genoa,24,1996,19.0,11.0,1028.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.04,0.04,11.4,3.0,0.0,25.0,0.26,0.0,0.0,0.04,-0.5,-0.5,324.0,443.0,73.1,5772.0,2027.0,142.0,172.0,82.6,130.0,168.0,77.4,41.0,74.0,55.4,13.0,26.0,9.0,3.0,45.0,403.0,38.0,25.0,1.0,7.0,31.0,8.0,2.0,5.0,1.0,4.0,2.0,7.0,30.0,2.62,15.0,8.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,12.0,6.0,16.0,6.0,16.0,2.0,14.0,8.0,9.0,1.0,568.0,19.0,99.0,334.0,139.0,13.0,568.0,293.0,4.0,4.0,0.0,325.0,10.0,17.0,0.0,20.0,11.0,3.0,0.0,0.0,0.0,78.0,6.0,15.0,28.6
+Luca Gemello,it ITA,GK,Torino,21,2000,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,35.0,40.0,495.0,422.0,1.0,1.0,100.0,6.0,6.0,100.0,7.0,27.0,25.9,0.0,3.0,0.0,0.0,0.0,30.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,27.0,37.0,0.0,0.0,0.0,37.0,24.0,0.0,0.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Paolo Ghiglione,it ITA,DF,Genoa,24,1997,13.0,6.0,603.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.15,0.15,0.0,0.15,0.6,0.6,0.09,0.09,6.7,4.0,0.0,50.0,0.6,0.0,0.0,0.07,-0.6,-0.6,212.0,343.0,61.8,3539.0,1560.0,104.0,118.0,88.1,75.0,119.0,63.0,25.0,72.0,34.7,8.0,14.0,10.0,9.0,20.0,257.0,83.0,4.0,0.0,1.0,37.0,6.0,2.0,2.0,0.0,73.0,3.0,15.0,12.0,1.79,5.0,3.0,3.0,0.0,2.0,0.3,2.0,0.0,0.0,0.0,0.0,17.0,12.0,8.0,6.0,3.0,11.0,5.0,6.0,10.0,12.0,1.0,440.0,29.0,124.0,201.0,120.0,7.0,440.0,206.0,13.0,11.0,1.0,220.0,18.0,3.0,0.0,11.0,3.0,0.0,0.0,0.0,0.0,33.0,7.0,8.0,46.7
+Faouzi Ghoulam,dz ALG,DF,Napoli,30,1991,14.0,3.0,332.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.7,1.0,2.0,33.3,0.27,0.0,0.0,0.04,-0.1,-0.1,229.0,280.0,81.8,3403.0,1029.0,126.0,134.0,94.0,72.0,86.0,83.7,14.0,36.0,38.9,7.0,24.0,4.0,1.0,19.0,243.0,37.0,10.0,0.0,0.0,26.0,9.0,5.0,4.0,0.0,18.0,0.0,5.0,13.0,3.5,8.0,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,2.0,1.0,1.0,3.0,10.0,0.0,304.0,14.0,72.0,141.0,93.0,2.0,304.0,181.0,10.0,7.0,1.0,216.0,2.0,2.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,12.0,5.0,6.0,45.5
+Sebastian Giovinco,it ITA,MF,Sampdoria,34,1987,2.0,0.0,39.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.08,0.08,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,7.0,13.0,53.8,134.0,22.0,4.0,4.0,100.0,1.0,2.0,50.0,2.0,3.0,66.7,0.0,1.0,0.0,0.0,3.0,11.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,6.0,11.0,1.0,17.0,9.0,0.0,1.0,0.0,10.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Olivier Giroud,fr FRA,FW,Milan,34,1986,29.0,22.0,1892.0,11.0,3.0,2.0,2.0,4.0,0.0,0.52,0.14,0.67,0.43,0.57,9.8,8.3,0.47,0.39,21.0,22.0,2.0,36.1,1.05,0.15,0.41,0.14,1.2,0.7,321.0,480.0,66.9,3620.0,596.0,202.0,281.0,71.9,65.0,96.0,67.7,10.0,16.0,62.5,25.0,17.0,10.0,1.0,23.0,463.0,14.0,0.0,3.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,55.0,2.61,33.0,0.0,15.0,3.0,6.0,0.28,4.0,0.0,2.0,0.0,0.0,15.0,11.0,4.0,6.0,5.0,13.0,4.0,9.0,3.0,19.0,0.0,698.0,26.0,47.0,278.0,376.0,123.0,696.0,261.0,8.0,6.0,4.0,539.0,58.0,11.0,0.0,31.0,22.0,11.0,0.0,0.0,0.0,42.0,92.0,51.0,64.3
+Diego Godín,uy URU,DF,Cagliari,35,1986,11.0,9.0,818.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.11,0.11,0.0,0.11,0.4,0.4,0.04,0.04,9.1,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.4,-0.4,394.0,439.0,89.7,7917.0,3014.0,127.0,132.0,96.2,211.0,229.0,92.1,52.0,71.0,73.2,2.0,25.0,0.0,0.0,22.0,418.0,20.0,18.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,8.0,0.88,6.0,0.0,1.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,18.0,7.0,13.0,3.0,2.0,7.0,5.0,2.0,13.0,46.0,0.0,548.0,87.0,315.0,207.0,29.0,14.0,548.0,294.0,4.0,2.0,1.0,334.0,4.0,0.0,0.0,13.0,3.0,0.0,0.0,1.0,0.0,53.0,18.0,12.0,60.0
+Edoardo Goldaniga,it ITA,DF,Cagliari,27,1993,11.0,11.0,934.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,10.4,1.0,0.0,20.0,0.1,0.0,0.0,0.07,-0.3,-0.3,345.0,486.0,71.0,6682.0,3385.0,127.0,161.0,78.9,167.0,206.0,81.1,46.0,94.0,48.9,4.0,21.0,4.0,1.0,35.0,408.0,77.0,17.0,0.0,5.0,13.0,0.0,0.0,0.0,0.0,60.0,1.0,8.0,10.0,0.96,8.0,0.0,1.0,0.0,1.0,0.1,0.0,0.0,1.0,0.0,0.0,12.0,5.0,7.0,5.0,0.0,8.0,5.0,3.0,22.0,23.0,0.0,587.0,51.0,257.0,265.0,68.0,8.0,587.0,272.0,3.0,6.0,0.0,279.0,7.0,0.0,0.0,22.0,13.0,1.0,0.0,0.0,0.0,57.0,28.0,19.0,59.6
+"Edoardo Goldaniga,it ITA,""DF,MF"",Sassuolo,27,1993,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,20.0,19.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0"
+Cedric Gondo,ci CIV,FW,Salernitana,24,1996,14.0,10.0,699.0,1.0,0.0,0.0,0.0,1.0,0.0,0.13,0.0,0.13,0.13,0.13,1.7,1.7,0.22,0.22,7.8,8.0,0.0,42.1,1.03,0.05,0.13,0.09,-0.7,-0.7,119.0,167.0,71.3,1455.0,305.0,80.0,97.0,82.5,25.0,37.0,67.6,3.0,8.0,37.5,12.0,5.0,6.0,1.0,12.0,156.0,11.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,23.0,2.96,18.0,0.0,1.0,4.0,2.0,0.26,0.0,0.0,0.0,2.0,0.0,5.0,2.0,2.0,2.0,1.0,2.0,0.0,2.0,3.0,2.0,0.0,281.0,6.0,32.0,103.0,151.0,41.0,281.0,197.0,15.0,9.0,7.0,227.0,39.0,19.0,0.0,18.0,32.0,3.0,1.0,0.0,0.0,34.0,23.0,30.0,43.4
+Nicolás González,ar ARG,FW,Fiorentina,23,1998,33.0,26.0,2357.0,7.0,6.0,3.0,3.0,4.0,1.0,0.27,0.23,0.5,0.15,0.38,10.1,7.7,0.39,0.3,26.2,19.0,0.0,27.5,0.73,0.06,0.21,0.11,-3.1,-3.7,693.0,940.0,73.7,12669.0,2404.0,326.0,411.0,79.3,260.0,329.0,79.0,95.0,126.0,75.4,37.0,46.0,32.0,9.0,91.0,897.0,37.0,6.0,3.0,26.0,64.0,3.0,2.0,0.0,0.0,27.0,6.0,27.0,95.0,3.63,58.0,2.0,10.0,17.0,14.0,0.53,6.0,0.0,1.0,5.0,1.0,21.0,16.0,6.0,8.0,7.0,26.0,2.0,24.0,21.0,4.0,1.0,1313.0,7.0,111.0,572.0,657.0,137.0,1310.0,867.0,97.0,80.0,37.0,1055.0,97.0,39.0,1.0,30.0,97.0,5.0,3.0,0.0,0.0,95.0,66.0,59.0,52.8
+Robin Gosens,de GER,DF,Atalanta,27,1994,6.0,5.0,460.0,1.0,0.0,0.0,0.0,2.0,0.0,0.2,0.0,0.2,0.2,0.2,1.7,1.7,0.33,0.33,5.1,4.0,0.0,26.7,0.78,0.07,0.25,0.11,-0.7,-0.7,212.0,261.0,81.2,3294.0,1266.0,121.0,134.0,90.3,76.0,94.0,80.9,12.0,20.0,60.0,6.0,13.0,6.0,2.0,28.0,221.0,39.0,1.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,38.0,1.0,2.0,12.0,2.35,8.0,0.0,2.0,2.0,1.0,0.2,0.0,0.0,0.0,1.0,0.0,7.0,3.0,3.0,4.0,0.0,4.0,0.0,4.0,9.0,1.0,0.0,310.0,9.0,62.0,143.0,105.0,22.0,310.0,161.0,8.0,5.0,3.0,196.0,6.0,1.0,0.0,3.0,5.0,1.0,1.0,0.0,0.0,22.0,12.0,4.0,75.0
+Robin Gosens,de GER,DF,Inter,27,1994,7.0,0.0,169.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.53,0.53,0.0,0.53,0.2,0.2,0.12,0.12,1.9,1.0,0.0,25.0,0.53,0.0,0.0,0.05,-0.2,-0.2,83.0,107.0,77.6,1261.0,381.0,51.0,57.0,89.5,28.0,37.0,75.7,4.0,9.0,44.4,2.0,8.0,1.0,1.0,7.0,97.0,9.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,9.0,1.0,3.0,6.0,3.21,5.0,0.0,1.0,0.0,1.0,0.54,1.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,5.0,2.0,3.0,3.0,3.0,0.0,128.0,8.0,30.0,55.0,45.0,9.0,128.0,55.0,4.0,3.0,3.0,82.0,3.0,0.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,13.0,4.0,1.0,80.0
+Alberto Grassi,it ITA,MF,Cagliari,26,1995,30.0,26.0,2174.0,0.0,1.0,0.0,0.0,6.0,1.0,0.0,0.04,0.04,0.0,0.04,1.1,1.1,0.05,0.05,24.2,2.0,0.0,8.3,0.08,0.0,0.0,0.05,-1.1,-1.1,840.0,1041.0,80.7,14201.0,3407.0,382.0,451.0,84.7,378.0,438.0,86.3,54.0,94.0,57.4,15.0,65.0,6.0,1.0,76.0,998.0,37.0,35.0,2.0,5.0,5.0,1.0,1.0,0.0,0.0,1.0,6.0,16.0,41.0,1.7,29.0,2.0,4.0,4.0,3.0,0.12,2.0,0.0,1.0,0.0,0.0,47.0,26.0,13.0,30.0,4.0,27.0,9.0,18.0,63.0,33.0,1.0,1331.0,77.0,355.0,802.0,185.0,22.0,1331.0,682.0,13.0,13.0,0.0,751.0,27.0,16.0,1.0,28.0,60.0,1.0,0.0,0.0,0.0,176.0,54.0,28.0,65.9
+Koray Günter,de GER,DF,Hellas Verona,26,1994,30.0,29.0,2411.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.01,0.01,26.8,2.0,0.0,33.3,0.07,0.0,0.0,0.05,-0.3,-0.3,1035.0,1288.0,80.4,21659.0,9788.0,298.0,357.0,83.5,559.0,638.0,87.6,162.0,247.0,65.6,7.0,65.0,2.0,0.0,106.0,1213.0,70.0,43.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,9.0,15.0,0.56,13.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.0,18.0,19.0,11.0,2.0,27.0,21.0,6.0,69.0,110.0,1.0,1576.0,236.0,821.0,727.0,38.0,16.0,1576.0,736.0,10.0,7.0,1.0,722.0,15.0,2.0,0.0,42.0,16.0,1.0,0.0,2.0,1.0,197.0,90.0,54.0,62.5
+"Albert Guðmundsson,is ISL,""FW,MF"",Genoa,24,1997,12.0,6.0,607.0,1.0,0.0,0.0,0.0,3.0,0.0,0.15,0.0,0.15,0.15,0.15,1.3,1.3,0.19,0.19,6.7,1.0,0.0,11.1,0.15,0.11,1.0,0.14,-0.3,-0.3,155.0,239.0,64.9,2097.0,722.0,88.0,105.0,83.8,40.0,62.0,64.5,12.0,39.0,30.8,12.0,12.0,10.0,5.0,15.0,207.0,32.0,8.0,0.0,0.0,41.0,15.0,5.0,7.0,0.0,8.0,0.0,10.0,24.0,3.55,17.0,6.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,2.0,1.0,2.0,2.0,0.0,2.0,5.0,4.0,0.0,308.0,10.0,35.0,121.0,156.0,27.0,308.0,164.0,14.0,8.0,6.0,190.0,27.0,10.0,0.0,14.0,10.0,3.0,0.0,0.0,0.0,32.0,3.0,6.0,33.3"
+"Emmanuel Gyasi,gh GHA,""FW,MF"",Spezia,27,1994,36.0,35.0,3035.0,6.0,0.0,0.0,0.0,10.0,0.0,0.18,0.0,0.18,0.18,0.18,5.6,5.6,0.17,0.17,33.7,13.0,0.0,34.2,0.39,0.16,0.46,0.15,0.4,0.4,765.0,939.0,81.5,9820.0,1991.0,496.0,560.0,88.6,205.0,245.0,83.7,19.0,30.0,63.3,22.0,24.0,15.0,3.0,42.0,900.0,37.0,5.0,2.0,1.0,23.0,0.0,0.0,0.0,0.0,17.0,2.0,34.0,59.0,1.75,48.0,0.0,3.0,3.0,6.0,0.18,5.0,0.0,1.0,0.0,0.0,47.0,30.0,31.0,9.0,7.0,22.0,4.0,18.0,16.0,43.0,1.0,1272.0,67.0,296.0,522.0,471.0,87.0,1272.0,767.0,44.0,38.0,17.0,865.0,81.0,52.0,0.0,48.0,51.0,21.0,0.0,1.0,1.0,153.0,33.0,67.0,33.0"
+Norbert Gyömbér,sk SVK,DF,Salernitana,29,1992,31.0,30.0,2563.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.02,0.02,28.5,2.0,0.0,22.2,0.07,0.0,0.0,0.07,-0.6,-0.6,805.0,1058.0,76.1,15687.0,6323.0,274.0,320.0,85.6,404.0,493.0,81.9,112.0,211.0,53.1,7.0,59.0,8.0,5.0,66.0,944.0,112.0,36.0,0.0,2.0,19.0,0.0,0.0,0.0,0.0,75.0,2.0,8.0,20.0,0.7,15.0,1.0,2.0,1.0,1.0,0.04,0.0,1.0,0.0,0.0,0.0,53.0,32.0,40.0,11.0,2.0,38.0,24.0,14.0,44.0,126.0,1.0,1359.0,206.0,701.0,572.0,92.0,18.0,1359.0,619.0,5.0,2.0,0.0,678.0,13.0,6.0,0.0,48.0,15.0,0.0,0.0,1.0,0.0,124.0,40.0,22.0,64.5
+Nicolas Haas,ch SUI,MF,Empoli,25,1996,16.0,11.0,1001.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.18,0.18,0.0,0.18,0.3,0.3,0.03,0.03,11.1,2.0,0.0,28.6,0.18,0.0,0.0,0.04,-0.3,-0.3,351.0,459.0,76.5,5455.0,1771.0,189.0,215.0,87.9,122.0,151.0,80.8,26.0,50.0,52.0,13.0,33.0,11.0,1.0,57.0,444.0,9.0,3.0,1.0,2.0,15.0,1.0,0.0,0.0,0.0,5.0,6.0,14.0,32.0,2.87,31.0,0.0,1.0,0.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,35.0,22.0,15.0,10.0,10.0,24.0,4.0,20.0,9.0,17.0,1.0,594.0,27.0,126.0,293.0,179.0,17.0,594.0,325.0,8.0,9.0,3.0,374.0,18.0,8.0,0.0,18.0,11.0,1.0,0.0,0.0,0.0,74.0,5.0,15.0,25.0
+Samir Handanović,si SVN,GK,Inter,37,1984,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1074.0,1260.0,85.2,25784.0,18136.0,270.0,271.0,99.6,530.0,533.0,99.4,264.0,445.0,59.3,0.0,10.0,0.0,0.0,0.0,1081.0,179.0,37.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,0.14,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,6.0,3.0,1331.0,1193.0,1330.0,0.0,1.0,1.0,1331.0,866.0,0.0,0.0,0.0,815.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,36.0,4.0,0.0,100.0
+Ridgeciano Haps,sr SUR,DF,Venezia,28,1993,25.0,24.0,2056.0,1.0,1.0,0.0,0.0,6.0,0.0,0.04,0.04,0.09,0.04,0.09,0.5,0.5,0.02,0.02,22.8,2.0,0.0,18.2,0.09,0.09,0.5,0.04,0.5,0.5,638.0,858.0,74.4,10727.0,4400.0,310.0,354.0,87.6,249.0,326.0,76.4,59.0,112.0,52.7,13.0,37.0,10.0,6.0,59.0,683.0,172.0,3.0,0.0,3.0,34.0,0.0,0.0,0.0,0.0,169.0,3.0,24.0,31.0,1.36,22.0,3.0,0.0,4.0,2.0,0.09,1.0,1.0,0.0,0.0,0.0,36.0,20.0,26.0,4.0,6.0,34.0,12.0,22.0,29.0,57.0,1.0,1120.0,94.0,453.0,442.0,233.0,15.0,1120.0,522.0,30.0,35.0,2.0,534.0,34.0,4.0,0.0,22.0,43.0,2.0,1.0,1.0,0.0,124.0,24.0,20.0,54.5
+Abdou Harroui,nl NED,MF,Sassuolo,23,1998,22.0,3.0,452.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.1,0.1,5.0,2.0,0.0,15.4,0.4,0.0,0.0,0.04,-0.5,-0.5,252.0,292.0,86.3,4112.0,836.0,130.0,144.0,90.3,100.0,109.0,91.7,17.0,21.0,81.0,5.0,32.0,0.0,0.0,29.0,289.0,2.0,1.0,1.0,6.0,7.0,0.0,0.0,0.0,0.0,1.0,1.0,7.0,13.0,2.59,12.0,0.0,0.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,11.0,4.0,4.0,7.0,0.0,14.0,0.0,14.0,4.0,5.0,0.0,365.0,8.0,64.0,209.0,99.0,15.0,365.0,235.0,9.0,9.0,1.0,251.0,12.0,5.0,0.0,13.0,2.0,0.0,0.0,0.0,0.0,38.0,6.0,9.0,40.0
+"Hans Hateboer,nl NED,""DF,MF"",Atalanta,27,1994,21.0,16.0,1386.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,1.4,0.09,0.09,15.4,2.0,0.0,11.8,0.13,0.0,0.0,0.08,-1.4,-1.4,703.0,850.0,82.7,9952.0,3276.0,448.0,482.0,92.9,207.0,253.0,81.8,29.0,59.0,49.2,13.0,43.0,17.0,8.0,73.0,719.0,128.0,9.0,0.0,5.0,38.0,0.0,0.0,0.0,0.0,119.0,3.0,25.0,34.0,2.21,30.0,1.0,2.0,1.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,22.0,14.0,10.0,8.0,4.0,11.0,1.0,10.0,7.0,20.0,0.0,973.0,33.0,172.0,396.0,408.0,39.0,973.0,582.0,37.0,27.0,6.0,681.0,21.0,9.0,0.0,18.0,7.0,3.0,0.0,0.0,0.0,66.0,22.0,23.0,48.9"
+Silvan Hefti,ch SUI,DF,Genoa,23,1997,16.0,14.0,1288.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.01,0.01,14.3,1.0,0.0,20.0,0.07,0.0,0.0,0.04,-0.2,-0.2,393.0,551.0,71.3,5940.0,2670.0,212.0,251.0,84.5,133.0,190.0,70.0,25.0,60.0,41.7,10.0,27.0,16.0,9.0,39.0,417.0,134.0,5.0,1.0,0.0,33.0,0.0,0.0,0.0,0.0,129.0,0.0,19.0,22.0,1.54,19.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,50.0,30.0,23.0,22.0,5.0,20.0,4.0,16.0,20.0,34.0,1.0,732.0,42.0,225.0,310.0,212.0,15.0,732.0,298.0,30.0,23.0,3.0,273.0,18.0,14.0,0.0,13.0,7.0,0.0,0.0,1.0,0.0,117.0,6.0,15.0,28.6
+Liam Henderson,sct SCO,MF,Empoli,25,1996,38.0,23.0,2020.0,2.0,3.0,0.0,0.0,4.0,0.0,0.09,0.13,0.22,0.09,0.22,2.5,2.5,0.11,0.11,22.4,15.0,2.0,35.7,0.67,0.05,0.13,0.06,-0.5,-0.5,592.0,856.0,69.2,9237.0,3184.0,305.0,363.0,84.0,216.0,302.0,71.5,40.0,97.0,41.2,39.0,61.0,28.0,9.0,100.0,765.0,84.0,18.0,1.0,4.0,87.0,30.0,5.0,17.0,0.0,15.0,7.0,37.0,87.0,3.88,67.0,13.0,3.0,3.0,12.0,0.53,7.0,1.0,1.0,2.0,0.0,22.0,13.0,7.0,8.0,7.0,14.0,4.0,10.0,9.0,13.0,0.0,1019.0,33.0,128.0,418.0,482.0,60.0,1019.0,566.0,22.0,19.0,1.0,681.0,27.0,14.0,0.0,59.0,22.0,3.0,2.0,1.0,0.0,99.0,14.0,15.0,48.3
+"Dalbert Henrique,br BRA,""DF,MF"",Cagliari,27,1993,28.0,27.0,2081.0,0.0,2.0,0.0,0.0,9.0,0.0,0.0,0.09,0.09,0.0,0.09,1.5,1.5,0.07,0.07,23.1,1.0,0.0,10.0,0.04,0.0,0.0,0.15,-1.5,-1.5,592.0,841.0,70.4,10861.0,3644.0,247.0,297.0,83.2,254.0,343.0,74.1,75.0,140.0,53.6,29.0,40.0,23.0,15.0,53.0,642.0,195.0,16.0,0.0,4.0,73.0,13.0,3.0,4.0,0.0,166.0,4.0,22.0,57.0,2.47,41.0,14.0,1.0,1.0,5.0,0.22,3.0,1.0,1.0,0.0,0.0,43.0,23.0,23.0,16.0,4.0,28.0,5.0,23.0,24.0,34.0,0.0,1110.0,48.0,250.0,508.0,363.0,21.0,1110.0,487.0,33.0,30.0,4.0,525.0,38.0,19.0,0.0,38.0,28.0,4.0,0.0,2.0,0.0,132.0,25.0,37.0,40.3"
+Matheus Henrique,br BRA,MF,Sassuolo,23,1997,25.0,10.0,1078.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.08,0.08,0.0,0.08,0.3,0.3,0.03,0.03,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.3,-0.3,545.0,606.0,89.9,8330.0,2228.0,308.0,328.0,93.9,167.0,180.0,92.8,43.0,52.0,82.7,14.0,52.0,7.0,2.0,55.0,597.0,9.0,3.0,0.0,3.0,12.0,5.0,2.0,2.0,0.0,1.0,0.0,8.0,39.0,3.26,34.0,1.0,1.0,1.0,3.0,0.25,3.0,0.0,0.0,0.0,0.0,10.0,3.0,6.0,3.0,1.0,14.0,2.0,12.0,7.0,12.0,1.0,703.0,27.0,135.0,414.0,160.0,8.0,703.0,490.0,17.0,30.0,3.0,554.0,11.0,18.0,0.0,18.0,13.0,0.0,0.0,0.0,0.0,57.0,4.0,7.0,36.4
+Thomas Henry,fr FRA,FW,Venezia,26,1994,33.0,23.0,2115.0,9.0,2.0,0.0,0.0,6.0,1.0,0.38,0.09,0.47,0.38,0.47,6.8,6.8,0.29,0.29,23.5,24.0,0.0,47.1,1.02,0.18,0.38,0.13,2.2,2.2,263.0,434.0,60.6,3781.0,651.0,152.0,230.0,66.1,69.0,109.0,63.3,21.0,28.0,75.0,20.0,21.0,8.0,1.0,31.0,408.0,20.0,0.0,3.0,4.0,5.0,0.0,0.0,0.0,0.0,3.0,6.0,18.0,41.0,1.74,31.0,0.0,2.0,8.0,6.0,0.26,4.0,0.0,2.0,0.0,0.0,9.0,4.0,2.0,3.0,4.0,11.0,5.0,6.0,2.0,25.0,0.0,716.0,34.0,59.0,352.0,311.0,97.0,716.0,427.0,20.0,12.0,9.0,605.0,91.0,35.0,1.0,50.0,69.0,14.0,0.0,0.0,2.0,38.0,90.0,78.0,53.6
+Theo Hernández,fr FRA,DF,Milan,23,1997,32.0,30.0,2711.0,5.0,5.0,1.0,2.0,7.0,2.0,0.17,0.17,0.33,0.13,0.3,3.7,2.8,0.12,0.09,30.1,13.0,8.0,32.5,0.43,0.1,0.31,0.07,1.3,1.2,1404.0,1741.0,80.6,23589.0,7820.0,727.0,822.0,88.4,531.0,633.0,83.9,121.0,208.0,58.2,51.0,89.0,34.0,11.0,116.0,1383.0,354.0,71.0,4.0,18.0,126.0,42.0,2.0,38.0,0.0,241.0,4.0,34.0,104.0,3.45,58.0,25.0,5.0,10.0,13.0,0.43,10.0,0.0,2.0,0.0,0.0,53.0,35.0,34.0,14.0,5.0,16.0,3.0,13.0,23.0,29.0,3.0,2060.0,65.0,515.0,983.0,605.0,56.0,2058.0,1138.0,120.0,88.0,27.0,1262.0,55.0,24.0,1.0,34.0,74.0,8.0,0.0,0.0,0.0,219.0,25.0,14.0,64.1
+"Hernani,br BRA,""MF,FW"",Genoa,27,1994,18.0,7.0,682.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.08,0.08,7.6,4.0,3.0,40.0,0.53,0.0,0.0,0.06,-0.6,-0.6,171.0,237.0,72.2,2623.0,630.0,95.0,110.0,86.4,53.0,80.0,66.3,12.0,19.0,63.2,2.0,13.0,3.0,2.0,17.0,221.0,16.0,9.0,0.0,3.0,15.0,4.0,2.0,2.0,0.0,1.0,0.0,12.0,7.0,0.93,5.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,10.0,8.0,9.0,3.0,17.0,4.0,13.0,13.0,5.0,1.0,343.0,15.0,68.0,191.0,88.0,13.0,343.0,161.0,7.0,8.0,4.0,200.0,16.0,11.0,0.0,12.0,10.0,2.0,0.0,1.0,0.0,43.0,13.0,22.0,37.1"
+"Daan Heymans,be BEL,""MF,FW"",Venezia,22,1999,7.0,2.0,256.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.35,0.35,0.0,0.35,0.1,0.1,0.04,0.04,2.8,1.0,0.0,33.3,0.35,0.0,0.0,0.03,-0.1,-0.1,79.0,96.0,82.3,1240.0,310.0,38.0,46.0,82.6,32.0,35.0,91.4,5.0,9.0,55.6,3.0,6.0,2.0,1.0,9.0,92.0,4.0,2.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,2.12,6.0,0.0,0.0,0.0,1.0,0.35,1.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,2.0,0.0,7.0,3.0,4.0,4.0,3.0,0.0,129.0,8.0,29.0,65.0,36.0,6.0,129.0,58.0,2.0,2.0,0.0,85.0,7.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,10.0,8.0,2.0,80.0"
+Aaron Hickey,sct SCO,DF,Bologna,19,2002,36.0,34.0,2820.0,5.0,1.0,0.0,0.0,7.0,0.0,0.16,0.03,0.19,0.16,0.19,0.9,0.9,0.03,0.03,31.3,13.0,0.0,61.9,0.41,0.24,0.38,0.04,4.1,4.1,1032.0,1289.0,80.1,14598.0,4242.0,610.0,671.0,90.9,355.0,460.0,77.2,34.0,78.0,43.6,19.0,45.0,19.0,8.0,52.0,1021.0,267.0,16.0,2.0,0.0,52.0,0.0,0.0,0.0,0.0,251.0,1.0,33.0,44.0,1.4,37.0,1.0,0.0,4.0,4.0,0.13,4.0,0.0,0.0,0.0,0.0,46.0,29.0,24.0,15.0,7.0,36.0,13.0,23.0,29.0,44.0,0.0,1602.0,80.0,483.0,671.0,458.0,25.0,1602.0,831.0,57.0,43.0,8.0,961.0,48.0,27.0,0.0,39.0,71.0,4.0,0.0,0.0,0.0,134.0,17.0,30.0,36.2
+Martin Hongla,cm CMR,MF,Hellas Verona,23,1998,18.0,7.0,651.0,1.0,0.0,0.0,0.0,3.0,0.0,0.14,0.0,0.14,0.14,0.14,1.5,1.5,0.2,0.2,7.2,4.0,0.0,44.4,0.55,0.11,0.25,0.16,-0.5,-0.5,229.0,303.0,75.6,4101.0,992.0,103.0,127.0,81.1,89.0,109.0,81.7,29.0,49.0,59.2,2.0,18.0,3.0,0.0,23.0,297.0,4.0,3.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,4.0,9.0,1.25,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,6.0,3.0,6.0,2.0,4.0,4.0,16.0,1.0,380.0,20.0,81.0,227.0,76.0,5.0,380.0,222.0,6.0,10.0,2.0,222.0,12.0,8.0,0.0,15.0,5.0,1.0,0.0,0.0,0.0,68.0,15.0,17.0,46.9
+"Sydney van Hooijdonk,nl NED,""FW,MF"",Bologna,21,2000,4.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,17.0,76.5,136.0,28.0,10.0,12.0,83.3,2.0,2.0,100.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,23.0,0.0,0.0,11.0,13.0,1.0,23.0,13.0,0.0,1.0,0.0,20.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,2.0,60.0"
+Petko Hristov,bg BUL,DF,Spezia,22,1999,17.0,13.0,1248.0,1.0,1.0,0.0,0.0,3.0,0.0,0.07,0.07,0.14,0.07,0.14,0.2,0.2,0.01,0.01,13.9,1.0,0.0,50.0,0.07,0.5,1.0,0.09,0.8,0.8,504.0,627.0,80.4,10049.0,3710.0,156.0,183.0,85.2,286.0,319.0,89.7,56.0,110.0,50.9,3.0,27.0,1.0,0.0,25.0,586.0,38.0,29.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,7.0,0.5,5.0,0.0,1.0,1.0,2.0,0.14,1.0,0.0,1.0,0.0,0.0,17.0,10.0,11.0,6.0,0.0,29.0,23.0,6.0,19.0,47.0,0.0,760.0,113.0,449.0,299.0,13.0,4.0,760.0,363.0,3.0,4.0,1.0,421.0,3.0,2.0,0.0,8.0,18.0,0.0,0.0,0.0,0.0,83.0,37.0,22.0,62.7
+Elseid Hysaj,al ALB,DF,Lazio,27,1994,29.0,24.0,2027.0,1.0,0.0,0.0,0.0,3.0,0.0,0.04,0.0,0.04,0.04,0.04,0.8,0.8,0.03,0.03,22.5,2.0,0.0,50.0,0.09,0.25,0.5,0.19,0.2,0.2,1216.0,1412.0,86.1,17867.0,5977.0,713.0,762.0,93.6,407.0,466.0,87.3,59.0,106.0,55.7,12.0,83.0,17.0,7.0,96.0,1254.0,157.0,14.0,2.0,8.0,26.0,0.0,0.0,0.0,0.0,143.0,1.0,27.0,39.0,1.73,36.0,1.0,0.0,0.0,7.0,0.31,6.0,0.0,0.0,0.0,0.0,46.0,30.0,25.0,17.0,4.0,18.0,6.0,12.0,24.0,34.0,1.0,1599.0,59.0,472.0,861.0,286.0,17.0,1599.0,927.0,26.0,22.0,4.0,1087.0,14.0,9.0,0.0,16.0,18.0,2.0,0.0,1.0,0.0,124.0,17.0,24.0,41.5
+Roger Ibanez,br BRA,DF,Roma,22,1998,34.0,32.0,2889.0,3.0,0.0,0.0,0.0,9.0,0.0,0.09,0.0,0.09,0.09,0.09,2.0,2.0,0.06,0.06,32.1,5.0,0.0,25.0,0.16,0.15,0.6,0.1,1.0,1.0,1691.0,1937.0,87.3,32137.0,11766.0,632.0,684.0,92.4,879.0,954.0,92.1,167.0,269.0,62.1,10.0,85.0,10.0,0.0,116.0,1828.0,108.0,64.0,1.0,13.0,3.0,0.0,0.0,0.0,0.0,41.0,1.0,8.0,31.0,0.97,28.0,1.0,1.0,1.0,2.0,0.06,2.0,0.0,0.0,0.0,0.0,54.0,32.0,31.0,19.0,4.0,26.0,7.0,19.0,62.0,104.0,2.0,2275.0,195.0,1102.0,1088.0,110.0,37.0,2275.0,1359.0,33.0,29.0,2.0,1507.0,33.0,12.0,0.0,47.0,48.0,1.0,0.0,2.0,0.0,201.0,61.0,36.0,62.9
+Zlatan Ibrahimović,se SWE,FW,Milan,39,1981,23.0,11.0,1016.0,8.0,2.0,0.0,1.0,2.0,0.0,0.71,0.18,0.89,0.71,0.89,7.2,6.4,0.64,0.57,11.3,18.0,5.0,36.0,1.59,0.16,0.44,0.13,0.8,1.6,304.0,428.0,71.0,4022.0,1088.0,197.0,258.0,76.4,78.0,99.0,78.8,14.0,22.0,63.6,23.0,35.0,17.0,0.0,50.0,408.0,14.0,1.0,3.0,2.0,6.0,0.0,0.0,0.0,0.0,2.0,6.0,15.0,47.0,4.17,36.0,0.0,6.0,1.0,4.0,0.36,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,3.0,9.0,0.0,537.0,12.0,16.0,209.0,316.0,89.0,536.0,267.0,13.0,14.0,5.0,443.0,22.0,9.0,0.0,16.0,9.0,19.0,1.0,0.0,1.0,18.0,44.0,25.0,63.8
+Igor,br BRA,DF,Fiorentina,23,1998,30.0,23.0,2242.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,24.9,1.0,0.0,14.3,0.04,0.0,0.0,0.06,-0.4,-0.4,1550.0,1688.0,91.8,31777.0,9782.0,445.0,480.0,92.7,906.0,945.0,95.9,192.0,236.0,81.4,6.0,89.0,1.0,0.0,95.0,1629.0,59.0,50.0,1.0,17.0,2.0,0.0,0.0,0.0,0.0,9.0,0.0,9.0,19.0,0.76,16.0,0.0,2.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,53.0,31.0,34.0,16.0,3.0,37.0,19.0,18.0,31.0,46.0,4.0,1905.0,134.0,947.0,935.0,39.0,15.0,1905.0,1206.0,20.0,8.0,0.0,1350.0,18.0,3.0,0.0,28.0,5.0,0.0,0.0,1.0,0.0,169.0,46.0,41.0,52.9
+Jonathan Ikone,fr FRA,FW,Fiorentina,23,1998,17.0,7.0,649.0,1.0,1.0,0.0,0.0,1.0,0.0,0.14,0.14,0.28,0.14,0.28,1.7,1.7,0.23,0.23,7.2,6.0,0.0,37.5,0.83,0.06,0.17,0.1,-0.7,-0.7,227.0,273.0,83.2,3765.0,639.0,101.0,119.0,84.9,104.0,120.0,86.7,14.0,18.0,77.8,9.0,17.0,7.0,1.0,27.0,270.0,3.0,1.0,2.0,3.0,9.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,27.0,3.74,20.0,0.0,3.0,1.0,2.0,0.28,1.0,0.0,1.0,0.0,0.0,7.0,3.0,2.0,3.0,2.0,10.0,2.0,8.0,1.0,2.0,0.0,369.0,6.0,31.0,159.0,183.0,28.0,369.0,244.0,13.0,14.0,7.0,273.0,27.0,10.0,0.0,6.0,6.0,1.0,0.0,0.0,0.0,42.0,3.0,8.0,27.3
+Ivan Ilić,rs SRB,MF,Hellas Verona,20,2001,32.0,30.0,2526.0,1.0,3.0,0.0,0.0,5.0,1.0,0.04,0.11,0.14,0.04,0.14,2.4,2.4,0.09,0.09,28.1,5.0,2.0,22.7,0.18,0.05,0.2,0.11,-1.4,-1.4,1102.0,1366.0,80.7,19025.0,5377.0,496.0,579.0,85.7,456.0,530.0,86.0,106.0,162.0,65.4,20.0,98.0,20.0,6.0,134.0,1271.0,91.0,61.0,0.0,10.0,40.0,21.0,9.0,7.0,0.0,9.0,4.0,10.0,56.0,2.0,43.0,9.0,1.0,1.0,9.0,0.32,8.0,1.0,0.0,0.0,0.0,39.0,18.0,16.0,19.0,4.0,34.0,12.0,22.0,22.0,55.0,0.0,1679.0,85.0,358.0,990.0,346.0,27.0,1679.0,969.0,39.0,47.0,5.0,1057.0,48.0,22.0,0.0,45.0,32.0,1.0,0.0,0.0,1.0,186.0,51.0,36.0,58.6
+"Josip Iličić,si SVN,""MF,FW"",Atalanta,33,1988,20.0,8.0,841.0,3.0,3.0,0.0,1.0,1.0,0.0,0.32,0.32,0.64,0.32,0.64,3.1,2.4,0.34,0.25,9.3,7.0,1.0,22.6,0.75,0.1,0.43,0.08,-0.1,0.6,359.0,492.0,73.0,6453.0,2051.0,182.0,223.0,81.6,118.0,157.0,75.2,48.0,74.0,64.9,34.0,40.0,21.0,2.0,70.0,453.0,38.0,6.0,5.0,16.0,41.0,27.0,12.0,11.0,0.0,2.0,1.0,9.0,66.0,7.07,42.0,11.0,5.0,3.0,10.0,1.07,8.0,0.0,0.0,0.0,0.0,7.0,7.0,3.0,2.0,2.0,6.0,1.0,5.0,3.0,1.0,0.0,618.0,4.0,40.0,242.0,344.0,53.0,617.0,455.0,43.0,20.0,18.0,516.0,39.0,10.0,0.0,13.0,38.0,1.0,0.0,0.0,0.0,32.0,1.0,11.0,8.3"
+Ciro Immobile,it ITA,FW,Lazio,31,1990,31.0,31.0,2711.0,27.0,2.0,7.0,9.0,4.0,0.0,0.9,0.07,0.96,0.66,0.73,21.5,14.3,0.71,0.48,30.1,50.0,0.0,45.9,1.66,0.18,0.4,0.13,5.5,5.7,681.0,884.0,77.0,8729.0,1240.0,425.0,499.0,85.2,158.0,210.0,75.2,35.0,48.0,72.9,27.0,30.0,22.0,2.0,54.0,854.0,28.0,0.0,3.0,3.0,13.0,1.0,0.0,0.0,0.0,5.0,2.0,29.0,72.0,2.39,53.0,0.0,11.0,2.0,15.0,0.5,9.0,0.0,4.0,0.0,0.0,10.0,5.0,4.0,4.0,2.0,7.0,1.0,6.0,3.0,16.0,0.0,1199.0,20.0,91.0,496.0,622.0,190.0,1190.0,725.0,52.0,31.0,31.0,995.0,77.0,44.0,0.0,36.0,39.0,13.0,1.0,1.0,0.0,55.0,22.0,46.0,32.4
+Lorenzo Insigne,it ITA,FW,Napoli,30,1991,32.0,28.0,2290.0,11.0,8.0,9.0,13.0,2.0,0.0,0.43,0.31,0.75,0.08,0.39,15.3,4.9,0.6,0.19,25.4,24.0,12.0,29.6,0.94,0.02,0.08,0.06,-4.3,-2.9,1208.0,1509.0,80.1,19846.0,4831.0,672.0,738.0,91.1,370.0,457.0,81.0,127.0,225.0,56.4,63.0,78.0,54.0,3.0,150.0,1378.0,126.0,33.0,16.0,26.0,90.0,62.0,22.0,23.0,0.0,30.0,5.0,17.0,120.0,4.72,80.0,21.0,11.0,1.0,16.0,0.63,9.0,3.0,4.0,0.0,0.0,23.0,14.0,8.0,12.0,3.0,30.0,1.0,29.0,20.0,3.0,1.0,1790.0,13.0,177.0,791.0,847.0,116.0,1777.0,1203.0,104.0,78.0,46.0,1383.0,52.0,28.0,0.0,20.0,22.0,5.0,0.0,0.0,0.0,142.0,5.0,9.0,35.7
+Ardian Ismajli,al ALB,DF,Empoli,24,1996,20.0,13.0,1272.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,14.1,1.0,0.0,20.0,0.07,0.0,0.0,0.06,-0.3,-0.3,616.0,725.0,85.0,11941.0,4691.0,201.0,222.0,90.5,344.0,384.0,89.6,64.0,99.0,64.6,3.0,47.0,2.0,0.0,51.0,683.0,40.0,22.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,9.0,2.0,6.0,11.0,0.78,9.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,9.0,8.0,4.0,1.0,21.0,11.0,10.0,24.0,80.0,0.0,894.0,149.0,487.0,387.0,26.0,9.0,894.0,470.0,18.0,7.0,0.0,531.0,5.0,0.0,0.0,17.0,14.0,0.0,0.0,0.0,2.0,78.0,38.0,21.0,64.4
+Armando Izzo,it ITA,DF,Torino,29,1992,11.0,6.0,526.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.11,0.11,5.8,3.0,0.0,60.0,0.51,0.0,0.0,0.12,-0.6,-0.6,240.0,307.0,78.2,4507.0,1288.0,92.0,109.0,84.4,112.0,135.0,83.0,31.0,56.0,55.4,0.0,20.0,2.0,0.0,27.0,280.0,26.0,20.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,4.0,0.68,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,14.0,2.0,0.0,5.0,4.0,1.0,17.0,21.0,0.0,371.0,35.0,153.0,175.0,44.0,8.0,371.0,200.0,6.0,7.0,0.0,219.0,3.0,2.0,0.0,17.0,12.0,0.0,0.0,1.0,0.0,32.0,15.0,14.0,51.7
+Mato Jajalo,ba BIH,MF,Udinese,33,1988,22.0,6.0,629.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.4,0.4,0.05,0.05,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.4,-0.4,252.0,318.0,79.2,4139.0,1374.0,117.0,138.0,84.8,101.0,122.0,82.8,22.0,33.0,66.7,8.0,27.0,7.0,0.0,31.0,302.0,14.0,8.0,2.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,2.0,7.0,17.0,2.44,12.0,0.0,3.0,1.0,2.0,0.29,1.0,0.0,0.0,1.0,0.0,24.0,14.0,14.0,7.0,3.0,7.0,0.0,7.0,11.0,5.0,0.0,399.0,21.0,108.0,225.0,68.0,4.0,399.0,184.0,3.0,3.0,1.0,223.0,10.0,5.0,0.0,12.0,7.0,0.0,0.0,0.0,0.0,49.0,6.0,11.0,35.3
+Paweł Jaroszyński,pl POL,DF,Salernitana,26,1994,13.0,4.0,516.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,5.7,1.0,0.0,50.0,0.17,0.0,0.0,0.06,-0.1,-0.1,149.0,230.0,64.8,2774.0,1183.0,58.0,66.0,87.9,78.0,106.0,73.6,12.0,43.0,27.9,6.0,7.0,3.0,3.0,10.0,177.0,51.0,7.0,0.0,0.0,21.0,4.0,0.0,4.0,0.0,40.0,2.0,8.0,11.0,1.92,6.0,5.0,0.0,0.0,1.0,0.17,0.0,1.0,0.0,0.0,0.0,10.0,5.0,7.0,3.0,0.0,4.0,0.0,4.0,10.0,19.0,0.0,284.0,29.0,122.0,106.0,58.0,2.0,284.0,138.0,4.0,7.0,0.0,124.0,2.0,1.0,0.0,7.0,5.0,0.0,0.0,0.0,0.0,40.0,7.0,9.0,43.8
+Juan Jesus,br BRA,DF,Napoli,30,1991,21.0,14.0,1278.0,1.0,0.0,0.0,0.0,1.0,0.0,0.07,0.0,0.07,0.07,0.07,0.3,0.3,0.02,0.02,14.2,1.0,0.0,25.0,0.07,0.25,1.0,0.08,0.7,0.7,740.0,838.0,88.3,12013.0,4533.0,354.0,380.0,93.2,319.0,345.0,92.5,47.0,75.0,62.7,4.0,33.0,2.0,0.0,36.0,796.0,42.0,29.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,9.0,0.63,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,17.0,14.0,11.0,0.0,21.0,16.0,5.0,9.0,34.0,0.0,950.0,103.0,442.0,497.0,17.0,10.0,950.0,586.0,1.0,2.0,1.0,643.0,3.0,0.0,0.0,14.0,2.0,2.0,0.0,0.0,1.0,103.0,29.0,28.0,50.9
+"Dennis Johnsen,no NOR,""FW,MF"",Venezia,23,1998,26.0,17.0,1445.0,1.0,2.0,0.0,0.0,2.0,0.0,0.06,0.12,0.19,0.06,0.19,2.3,2.3,0.14,0.14,16.1,5.0,0.0,35.7,0.31,0.07,0.2,0.16,-1.3,-1.3,188.0,321.0,58.6,3161.0,1045.0,95.0,145.0,65.5,57.0,86.0,66.3,23.0,40.0,57.5,24.0,15.0,20.0,8.0,31.0,319.0,2.0,0.0,0.0,7.0,42.0,1.0,1.0,0.0,0.0,1.0,0.0,21.0,32.0,1.97,28.0,0.0,1.0,1.0,3.0,0.18,3.0,0.0,0.0,0.0,0.0,14.0,10.0,8.0,4.0,2.0,14.0,1.0,13.0,5.0,3.0,0.0,508.0,8.0,75.0,176.0,271.0,59.0,508.0,346.0,36.0,23.0,19.0,369.0,61.0,23.0,0.0,9.0,12.0,13.0,0.0,0.0,0.0,62.0,5.0,20.0,20.0"
+"Kaio Jorge,br BRA,""MF,FW"",Juventus,19,2002,9.0,0.0,121.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.55,0.55,1.3,1.0,0.0,20.0,0.74,0.0,0.0,0.15,-0.7,-0.7,29.0,39.0,74.4,423.0,58.0,13.0,15.0,86.7,9.0,14.0,64.3,3.0,3.0,100.0,2.0,1.0,0.0,0.0,1.0,38.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,3.72,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,2.0,0.0,56.0,2.0,8.0,23.0,26.0,7.0,56.0,41.0,2.0,1.0,1.0,47.0,4.0,2.0,0.0,4.0,5.0,2.0,0.0,0.0,0.0,10.0,0.0,4.0,0.0"
+"Flavio Junior Bianchi,it ITA,""FW,MF"",Genoa,21,2000,7.0,4.0,314.0,1.0,0.0,0.0,0.0,0.0,0.0,0.29,0.0,0.29,0.29,0.29,0.8,0.8,0.23,0.23,3.5,3.0,0.0,30.0,0.86,0.1,0.33,0.08,0.2,0.2,60.0,77.0,77.9,753.0,91.0,44.0,50.0,88.0,11.0,16.0,68.8,3.0,4.0,75.0,3.0,3.0,1.0,0.0,3.0,75.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,1.43,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,114.0,0.0,10.0,71.0,35.0,9.0,114.0,68.0,2.0,2.0,1.0,81.0,15.0,6.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,9.0,3.0,5.0,37.5"
+"Hamed Junior Traorè,ci CIV,""FW,MF"",Sassuolo,21,2000,31.0,21.0,1775.0,7.0,2.0,0.0,0.0,3.0,0.0,0.35,0.1,0.46,0.35,0.46,5.7,5.7,0.29,0.29,19.7,22.0,0.0,43.1,1.12,0.14,0.32,0.11,1.3,1.3,646.0,832.0,77.6,10203.0,3121.0,338.0,385.0,87.8,237.0,285.0,83.2,49.0,95.0,51.6,36.0,66.0,35.0,3.0,110.0,767.0,62.0,9.0,2.0,11.0,60.0,47.0,34.0,4.0,0.0,5.0,3.0,22.0,80.0,4.07,57.0,10.0,2.0,2.0,7.0,0.36,6.0,0.0,0.0,0.0,0.0,32.0,18.0,8.0,14.0,10.0,22.0,2.0,20.0,12.0,6.0,1.0,1104.0,10.0,169.0,492.0,460.0,88.0,1104.0,743.0,90.0,56.0,46.0,779.0,45.0,43.0,0.0,30.0,32.0,4.0,0.0,0.0,0.0,123.0,4.0,10.0,28.6"
+Nikola Kalinić,hr CRO,FW,Hellas Verona,33,1988,14.0,4.0,406.0,4.0,1.0,0.0,0.0,5.0,1.0,0.89,0.22,1.11,0.89,1.11,3.2,3.2,0.72,0.72,4.5,4.0,0.0,30.8,0.89,0.31,1.0,0.25,0.8,0.8,85.0,104.0,81.7,986.0,128.0,56.0,62.0,90.3,21.0,26.0,80.8,0.0,2.0,0.0,6.0,3.0,2.0,0.0,6.0,88.0,15.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,13.0,2.88,9.0,0.0,0.0,3.0,2.0,0.44,1.0,0.0,0.0,1.0,0.0,2.0,0.0,0.0,1.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,158.0,1.0,5.0,61.0,92.0,33.0,158.0,112.0,3.0,2.0,3.0,143.0,19.0,21.0,1.0,15.0,9.0,2.0,1.0,0.0,0.0,8.0,3.0,7.0,30.0
+"Yayah Kallon,sl SLE,""FW,MF"",Genoa,20,2001,15.0,5.0,636.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.14,0.14,0.0,0.14,1.5,1.5,0.21,0.21,7.1,1.0,0.0,9.1,0.14,0.0,0.0,0.13,-1.5,-1.5,110.0,171.0,64.3,1418.0,241.0,71.0,95.0,74.7,35.0,51.0,68.6,1.0,9.0,11.1,11.0,5.0,4.0,2.0,5.0,170.0,1.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,26.0,3.69,15.0,0.0,3.0,2.0,4.0,0.57,2.0,0.0,0.0,1.0,0.0,15.0,11.0,5.0,6.0,4.0,7.0,1.0,6.0,1.0,5.0,0.0,265.0,3.0,31.0,93.0,146.0,32.0,265.0,171.0,24.0,11.0,12.0,174.0,27.0,11.0,0.0,19.0,13.0,3.0,1.0,0.0,0.0,35.0,4.0,17.0,19.0"
+Pierre Kalulu,fr FRA,DF,Milan,21,2000,28.0,21.0,1944.0,1.0,2.0,0.0,0.0,4.0,0.0,0.05,0.09,0.14,0.05,0.14,0.3,0.3,0.02,0.02,21.6,2.0,0.0,40.0,0.09,0.2,0.5,0.07,0.7,0.7,1020.0,1160.0,87.9,19162.0,6639.0,355.0,381.0,93.2,547.0,595.0,91.9,104.0,145.0,71.7,7.0,70.0,10.0,6.0,78.0,1073.0,83.0,35.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,46.0,4.0,10.0,27.0,1.25,24.0,1.0,1.0,1.0,4.0,0.19,3.0,0.0,1.0,0.0,0.0,61.0,36.0,36.0,21.0,4.0,36.0,15.0,21.0,26.0,54.0,0.0,1384.0,98.0,591.0,642.0,169.0,13.0,1384.0,788.0,21.0,19.0,0.0,860.0,22.0,6.0,0.0,16.0,6.0,2.0,0.0,0.0,0.0,150.0,22.0,41.0,34.9
+Dimitrije Kamenović,rs SRB,DF,Lazio,21,2000,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,1.32,1.32,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.66,-0.7,-0.7,15.0,20.0,75.0,298.0,57.0,4.0,6.0,66.7,9.0,12.0,75.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,18.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,25.0,3.0,13.0,11.0,1.0,1.0,25.0,9.0,0.0,1.0,0.0,10.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,66.7
+"Rick Karsdorp,nl NED,""DF,FW"",Roma,26,1995,36.0,32.0,2883.0,0.0,2.0,0.0,0.0,9.0,1.0,0.0,0.06,0.06,0.0,0.06,0.1,0.1,0.0,0.0,32.0,1.0,0.0,50.0,0.03,0.0,0.0,0.04,-0.1,-0.1,1466.0,1819.0,80.6,26822.0,8528.0,621.0,710.0,87.5,655.0,772.0,84.8,164.0,253.0,64.8,42.0,111.0,57.0,24.0,150.0,1526.0,281.0,15.0,3.0,11.0,103.0,0.0,0.0,0.0,0.0,266.0,12.0,33.0,93.0,2.9,81.0,4.0,0.0,2.0,4.0,0.12,4.0,0.0,0.0,0.0,0.0,53.0,38.0,33.0,13.0,7.0,22.0,5.0,17.0,34.0,26.0,1.0,2008.0,59.0,538.0,923.0,571.0,40.0,2008.0,1082.0,46.0,45.0,10.0,1303.0,31.0,8.0,1.0,27.0,13.0,0.0,0.0,1.0,0.0,179.0,5.0,12.0,29.4"
+"Denso Kasius,nl NED,""DF,FW"",Bologna,18,2002,7.0,1.0,180.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.07,0.07,2.0,1.0,0.0,50.0,0.5,0.0,0.0,0.07,-0.1,-0.1,103.0,126.0,81.7,1521.0,393.0,58.0,62.0,93.5,41.0,47.0,87.2,3.0,8.0,37.5,5.0,3.0,2.0,1.0,3.0,110.0,16.0,1.0,0.0,1.0,7.0,0.0,0.0,0.0,0.0,15.0,0.0,3.0,7.0,3.5,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,7.0,5.0,3.0,1.0,4.0,0.0,4.0,3.0,4.0,0.0,161.0,4.0,40.0,73.0,48.0,2.0,161.0,89.0,6.0,4.0,2.0,97.0,6.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,15.0,3.0,3.0,50.0"
+"Grigoris Kastanos,cy CYP,""MF,FW"",Salernitana,23,1998,27.0,16.0,1348.0,1.0,1.0,0.0,0.0,4.0,1.0,0.07,0.07,0.13,0.07,0.13,1.2,1.2,0.08,0.08,15.0,8.0,3.0,28.6,0.53,0.04,0.13,0.04,-0.2,-0.2,418.0,586.0,71.3,6538.0,2604.0,226.0,272.0,83.1,126.0,172.0,73.3,41.0,78.0,52.6,28.0,41.0,20.0,3.0,62.0,514.0,71.0,30.0,3.0,2.0,52.0,34.0,11.0,20.0,0.0,7.0,1.0,22.0,68.0,4.56,32.0,14.0,7.0,8.0,8.0,0.54,4.0,1.0,0.0,2.0,0.0,30.0,19.0,9.0,19.0,2.0,21.0,5.0,16.0,22.0,8.0,0.0,772.0,27.0,138.0,361.0,289.0,28.0,772.0,441.0,27.0,29.0,7.0,473.0,27.0,14.0,0.0,28.0,35.0,2.0,1.0,0.0,0.0,85.0,18.0,11.0,62.1"
+Moise Kean,it ITA,FW,Juventus,21,2000,32.0,12.0,1098.0,5.0,2.0,0.0,0.0,5.0,0.0,0.41,0.16,0.57,0.41,0.57,4.9,4.9,0.4,0.4,12.2,10.0,0.0,35.7,0.82,0.18,0.5,0.17,0.1,0.1,174.0,228.0,76.3,2486.0,280.0,106.0,137.0,77.4,42.0,53.0,79.2,15.0,22.0,68.2,5.0,9.0,3.0,1.0,10.0,220.0,8.0,1.0,0.0,3.0,6.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,14.0,1.15,8.0,0.0,0.0,2.0,3.0,0.25,1.0,0.0,0.0,1.0,0.0,9.0,4.0,2.0,5.0,2.0,5.0,0.0,5.0,3.0,8.0,1.0,381.0,10.0,48.0,158.0,182.0,58.0,381.0,227.0,20.0,9.0,10.0,289.0,43.0,21.0,0.0,20.0,16.0,12.0,1.0,0.0,0.0,44.0,22.0,15.0,59.5
+"Wajdi Kechrida,tn TUN,""DF,MF"",Salernitana,25,1995,17.0,10.0,952.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.09,0.09,0.0,0.09,0.2,0.2,0.02,0.02,10.6,1.0,0.0,16.7,0.09,0.0,0.0,0.04,-0.2,-0.2,241.0,333.0,72.4,3620.0,1680.0,130.0,142.0,91.5,88.0,128.0,68.8,12.0,31.0,38.7,12.0,27.0,13.0,8.0,29.0,292.0,40.0,1.0,0.0,1.0,32.0,7.0,1.0,6.0,0.0,32.0,1.0,10.0,17.0,1.61,14.0,2.0,1.0,0.0,2.0,0.19,1.0,0.0,1.0,0.0,0.0,9.0,6.0,6.0,3.0,0.0,10.0,2.0,8.0,8.0,15.0,0.0,411.0,23.0,100.0,182.0,133.0,15.0,411.0,219.0,16.0,14.0,2.0,234.0,10.0,10.0,0.0,8.0,1.0,1.0,0.0,0.0,0.0,49.0,2.0,12.0,14.3"
+Dimitrios Keramitsis,gr GRE,MF,Roma,17,2004,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Franck Kessié,ci CIV,MF,Milan,24,1996,31.0,25.0,2308.0,6.0,0.0,2.0,3.0,2.0,0.0,0.23,0.0,0.23,0.16,0.16,4.4,2.0,0.17,0.08,25.6,8.0,0.0,25.8,0.31,0.13,0.5,0.07,1.6,2.0,1174.0,1342.0,87.5,20350.0,4954.0,533.0,589.0,90.5,521.0,565.0,92.2,97.0,129.0,75.2,28.0,102.0,19.0,2.0,130.0,1284.0,52.0,41.0,2.0,9.0,12.0,0.0,0.0,0.0,0.0,7.0,6.0,15.0,67.0,2.61,55.0,0.0,5.0,2.0,2.0,0.08,2.0,0.0,0.0,0.0,0.0,41.0,23.0,12.0,24.0,5.0,39.0,10.0,29.0,23.0,22.0,0.0,1600.0,52.0,337.0,919.0,361.0,58.0,1597.0,888.0,36.0,33.0,4.0,1101.0,38.0,27.0,0.0,36.0,31.0,1.0,1.0,1.0,0.0,176.0,30.0,29.0,50.8
+Jakub Kiwior,pl POL,MF,Spezia,21,2000,22.0,21.0,1964.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,21.8,4.0,0.0,50.0,0.18,0.0,0.0,0.05,-0.4,-0.4,539.0,695.0,77.6,10040.0,2898.0,217.0,264.0,82.2,232.0,279.0,83.2,75.0,115.0,65.2,8.0,40.0,3.0,1.0,48.0,672.0,23.0,23.0,0.0,6.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,15.0,0.69,13.0,0.0,1.0,1.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,50.0,27.0,25.0,19.0,6.0,38.0,15.0,23.0,40.0,53.0,0.0,937.0,94.0,360.0,497.0,92.0,17.0,937.0,380.0,5.0,3.0,1.0,467.0,14.0,9.0,0.0,27.0,5.0,2.0,0.0,1.0,0.0,102.0,29.0,32.0,47.5
+"Sofian Kiyine,ma MAR,""MF,FW"",Venezia,23,1997,26.0,14.0,1239.0,1.0,0.0,0.0,1.0,8.0,1.0,0.07,0.0,0.07,0.07,0.07,1.5,0.6,0.11,0.04,13.8,5.0,2.0,25.0,0.36,0.05,0.2,0.03,-0.5,0.4,392.0,532.0,73.7,7832.0,2436.0,162.0,194.0,83.5,140.0,186.0,75.3,79.0,117.0,67.5,19.0,44.0,22.0,3.0,62.0,471.0,58.0,22.0,2.0,15.0,49.0,18.0,9.0,6.0,0.0,11.0,3.0,10.0,50.0,3.63,29.0,8.0,1.0,1.0,3.0,0.22,2.0,0.0,1.0,0.0,0.0,24.0,14.0,9.0,11.0,4.0,15.0,1.0,14.0,10.0,9.0,0.0,710.0,22.0,149.0,362.0,217.0,17.0,710.0,424.0,48.0,33.0,10.0,447.0,38.0,32.0,0.0,49.0,11.0,0.0,0.0,0.0,0.0,94.0,12.0,16.0,42.9"
+Simon Kjær,dk DEN,DF,Milan,32,1989,11.0,10.0,802.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.05,0.05,8.9,1.0,0.0,20.0,0.11,0.0,0.0,0.09,-0.5,-0.5,404.0,463.0,87.3,8254.0,2970.0,130.0,142.0,91.5,213.0,225.0,94.7,57.0,80.0,71.3,2.0,27.0,3.0,1.0,23.0,440.0,17.0,17.0,2.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,4.0,7.0,0.78,6.0,0.0,0.0,0.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,20.0,12.0,9.0,8.0,3.0,17.0,13.0,4.0,9.0,39.0,0.0,559.0,86.0,256.0,292.0,14.0,6.0,559.0,298.0,3.0,1.0,0.0,369.0,2.0,1.0,0.0,20.0,5.0,0.0,0.0,0.0,1.0,46.0,13.0,14.0,48.1
+"Aleksandr Kokorin,ru RUS,""FW,MF"",Fiorentina,30,1991,6.0,0.0,55.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,24.0,62.5,225.0,30.0,9.0,15.0,60.0,5.0,6.0,83.3,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,22.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,33.0,0.0,2.0,18.0,13.0,1.0,33.0,19.0,2.0,1.0,0.0,25.0,5.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,1.0,5.0,5.0,50.0"
+Aleksandar Kolarov,rs SRB,DF,Inter,35,1985,3.0,0.0,42.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,31.0,38.0,81.6,555.0,273.0,15.0,18.0,83.3,12.0,14.0,85.7,4.0,6.0,66.7,0.0,4.0,1.0,0.0,3.0,36.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,44.0,5.0,15.0,23.0,6.0,0.0,44.0,32.0,1.0,1.0,0.0,37.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,2.0,33.3
+Teun Koopmeiners,nl NED,MF,Atalanta,23,1998,30.0,23.0,2126.0,4.0,1.0,0.0,0.0,4.0,0.0,0.17,0.04,0.21,0.17,0.21,1.7,1.7,0.07,0.07,23.6,9.0,3.0,32.1,0.38,0.14,0.44,0.06,2.3,2.3,1173.0,1485.0,79.0,21632.0,7362.0,510.0,578.0,88.2,492.0,575.0,85.6,132.0,249.0,53.0,48.0,154.0,37.0,12.0,162.0,1348.0,131.0,55.0,3.0,38.0,97.0,56.0,30.0,21.0,0.0,15.0,6.0,18.0,93.0,3.94,69.0,14.0,3.0,1.0,5.0,0.21,5.0,0.0,0.0,0.0,0.0,40.0,24.0,10.0,19.0,11.0,31.0,2.0,29.0,15.0,19.0,0.0,1715.0,35.0,333.0,854.0,550.0,39.0,1715.0,976.0,38.0,37.0,11.0,1180.0,43.0,19.0,0.0,37.0,21.0,6.0,0.0,0.0,1.0,158.0,27.0,20.0,57.4
+Kalidou Koulibaly,sn SEN,DF,Napoli,30,1991,27.0,27.0,2405.0,3.0,1.0,0.0,0.0,5.0,1.0,0.11,0.04,0.15,0.11,0.15,1.3,1.3,0.05,0.05,26.7,7.0,0.0,70.0,0.26,0.3,0.43,0.13,1.7,1.7,1429.0,1652.0,86.5,25051.0,11180.0,630.0,688.0,91.6,634.0,683.0,92.8,131.0,219.0,59.8,11.0,91.0,6.0,0.0,80.0,1550.0,96.0,74.0,1.0,18.0,2.0,0.0,0.0,0.0,0.0,3.0,6.0,13.0,19.0,0.71,15.0,0.0,2.0,1.0,4.0,0.15,3.0,0.0,1.0,0.0,0.0,39.0,23.0,31.0,6.0,2.0,41.0,25.0,16.0,29.0,90.0,1.0,1915.0,247.0,902.0,980.0,58.0,22.0,1915.0,1163.0,21.0,12.0,1.0,1305.0,15.0,3.0,0.0,28.0,12.0,0.0,0.0,1.0,0.0,167.0,48.0,37.0,56.5
+"Christos Kourfalidis,gr GRE,""MF,FW"",Cagliari,18,2002,2.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.44,0.44,0.2,1.0,0.0,100.0,5.0,0.0,0.0,0.09,-0.1,-0.1,8.0,13.0,61.5,123.0,20.0,3.0,4.0,75.0,4.0,5.0,80.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,16.0,1.0,1.0,8.0,7.0,1.0,16.0,6.0,0.0,1.0,0.0,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,1.0,50.0"
+Viktor Kovalenko,ua UKR,MF,Spezia,25,1996,26.0,16.0,1325.0,1.0,3.0,0.0,0.0,4.0,0.0,0.07,0.2,0.27,0.07,0.27,0.3,0.3,0.02,0.02,14.7,2.0,1.0,25.0,0.14,0.13,0.5,0.04,0.7,0.7,455.0,597.0,76.2,7361.0,1947.0,228.0,274.0,83.2,173.0,208.0,83.2,37.0,69.0,53.6,17.0,40.0,11.0,0.0,60.0,559.0,36.0,16.0,0.0,2.0,24.0,16.0,11.0,3.0,1.0,4.0,2.0,19.0,27.0,1.84,21.0,3.0,0.0,1.0,4.0,0.27,4.0,0.0,0.0,0.0,0.0,16.0,10.0,7.0,8.0,1.0,16.0,3.0,13.0,13.0,8.0,0.0,723.0,14.0,138.0,408.0,180.0,14.0,723.0,416.0,15.0,18.0,2.0,487.0,28.0,17.0,0.0,15.0,20.0,0.0,1.0,1.0,0.0,80.0,13.0,20.0,39.4
+Julian Kristoffersen,no NOR,FW,Salernitana,24,1997,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.38,0.38,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,1.0,1.0,100.0,9.0,8.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,1.0,2.0,1.0,3.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,66.7
+"Rade Krunić,ba BIH,""MF,FW"",Milan,27,1993,28.0,15.0,1416.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.7,0.7,0.05,0.05,15.7,2.0,0.0,20.0,0.13,0.0,0.0,0.07,-0.7,-0.7,466.0,562.0,82.9,6609.0,1676.0,278.0,316.0,88.0,159.0,183.0,86.9,13.0,26.0,50.0,17.0,32.0,15.0,1.0,48.0,540.0,19.0,8.0,3.0,2.0,11.0,4.0,0.0,1.0,0.0,3.0,3.0,8.0,39.0,2.48,32.0,0.0,3.0,3.0,3.0,0.19,1.0,0.0,2.0,0.0,0.0,33.0,18.0,16.0,14.0,3.0,19.0,2.0,17.0,16.0,17.0,0.0,710.0,31.0,126.0,369.0,226.0,25.0,710.0,340.0,20.0,18.0,3.0,461.0,27.0,7.0,0.0,21.0,29.0,1.0,0.0,0.0,0.0,86.0,24.0,27.0,47.1"
+"Dejan Kulusevski,se SWE,""FW,MF"",Juventus,21,2000,20.0,5.0,772.0,1.0,3.0,0.0,0.0,1.0,0.0,0.12,0.35,0.47,0.12,0.47,1.7,1.7,0.2,0.2,8.6,6.0,0.0,33.3,0.7,0.06,0.17,0.1,-0.7,-0.7,194.0,243.0,79.8,2683.0,641.0,119.0,135.0,88.1,51.0,63.0,81.0,12.0,16.0,75.0,10.0,17.0,12.0,2.0,24.0,238.0,4.0,0.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,3.0,1.0,8.0,25.0,2.92,17.0,0.0,2.0,1.0,5.0,0.58,3.0,0.0,0.0,0.0,0.0,15.0,12.0,9.0,6.0,0.0,14.0,0.0,14.0,5.0,5.0,0.0,379.0,7.0,52.0,151.0,184.0,47.0,379.0,243.0,24.0,15.0,7.0,266.0,41.0,23.0,0.0,29.0,10.0,3.0,0.0,0.0,0.0,48.0,9.0,12.0,42.9"
+Marash Kumbulla,al ALB,DF,Roma,21,2000,17.0,13.0,1025.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.07,0.07,11.4,3.0,0.0,42.9,0.26,0.0,0.0,0.12,-0.8,-0.8,544.0,633.0,85.9,10848.0,3587.0,171.0,196.0,87.2,306.0,329.0,93.0,62.0,87.0,71.3,3.0,20.0,0.0,0.0,31.0,624.0,9.0,9.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,6.0,0.53,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,13.0,13.0,7.0,1.0,17.0,8.0,9.0,16.0,26.0,0.0,737.0,48.0,348.0,368.0,24.0,9.0,737.0,453.0,5.0,1.0,0.0,503.0,6.0,2.0,0.0,22.0,11.0,0.0,0.0,0.0,0.0,65.0,22.0,14.0,61.1
+"Giorgos Kyriakopoulos,gr GRE,""DF,FW"",Sassuolo,25,1996,29.0,22.0,1975.0,0.0,5.0,0.0,0.0,6.0,1.0,0.0,0.23,0.23,0.0,0.23,1.1,1.1,0.05,0.05,21.9,10.0,0.0,33.3,0.46,0.0,0.0,0.04,-1.1,-1.1,1045.0,1282.0,81.5,16080.0,6013.0,550.0,598.0,92.0,390.0,459.0,85.0,68.0,156.0,43.6,36.0,57.0,26.0,16.0,62.0,1099.0,183.0,21.0,1.0,2.0,99.0,22.0,3.0,19.0,0.0,140.0,0.0,24.0,65.0,2.97,44.0,6.0,2.0,6.0,9.0,0.41,6.0,1.0,0.0,2.0,0.0,30.0,14.0,19.0,7.0,4.0,32.0,9.0,23.0,11.0,52.0,0.0,1510.0,83.0,516.0,586.0,425.0,26.0,1510.0,923.0,78.0,46.0,11.0,1020.0,23.0,19.0,0.0,29.0,37.0,3.0,0.0,0.0,0.0,125.0,17.0,19.0,47.2"
+"Andrea La Mantia,it ITA,""FW,MF"",Empoli,30,1991,18.0,3.0,488.0,2.0,0.0,0.0,0.0,0.0,0.0,0.37,0.0,0.37,0.37,0.37,1.8,1.8,0.34,0.34,5.4,3.0,0.0,17.6,0.55,0.12,0.67,0.11,0.2,0.2,63.0,105.0,60.0,763.0,163.0,47.0,62.0,75.8,12.0,27.0,44.4,2.0,4.0,50.0,8.0,5.0,1.0,0.0,7.0,102.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,13.0,2.4,9.0,0.0,3.0,1.0,3.0,0.55,1.0,0.0,1.0,1.0,0.0,2.0,0.0,0.0,0.0,2.0,3.0,1.0,2.0,1.0,6.0,0.0,158.0,6.0,14.0,64.0,80.0,31.0,158.0,74.0,3.0,2.0,2.0,112.0,12.0,7.0,0.0,6.0,6.0,3.0,1.0,0.0,0.0,11.0,27.0,17.0,61.4"
+"Sam Lammers,nl NED,""FW,MF"",Atalanta,24,1997,2.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,20.0,60.0,155.0,55.0,7.0,10.0,70.0,4.0,7.0,57.1,0.0,0.0,0.0,0.0,2.0,1.0,0.0,3.0,19.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,0.0,14.0,17.0,3.0,31.0,18.0,0.0,0.0,0.0,28.0,6.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,50.0"
+"Kevin Lasagna,it ITA,""MF,FW"",Hellas Verona,28,1992,28.0,11.0,1184.0,2.0,4.0,0.0,0.0,1.0,0.0,0.15,0.3,0.46,0.15,0.46,3.3,3.3,0.25,0.25,13.2,16.0,0.0,39.0,1.22,0.05,0.13,0.08,-1.3,-1.3,179.0,273.0,65.6,2677.0,657.0,103.0,132.0,78.0,45.0,70.0,64.3,15.0,22.0,68.2,15.0,10.0,13.0,2.0,28.0,254.0,15.0,0.0,1.0,5.0,10.0,0.0,0.0,0.0,0.0,2.0,4.0,17.0,37.0,2.82,26.0,0.0,6.0,3.0,7.0,0.53,6.0,0.0,0.0,1.0,0.0,13.0,7.0,4.0,5.0,4.0,16.0,0.0,16.0,3.0,7.0,0.0,447.0,11.0,42.0,181.0,237.0,63.0,447.0,226.0,26.0,13.0,7.0,315.0,55.0,27.0,0.0,19.0,10.0,12.0,1.0,0.0,0.0,45.0,31.0,49.0,38.8"
+Darko Lazović,rs SRB,DF,Hellas Verona,30,1990,34.0,32.0,2766.0,1.0,7.0,0.0,0.0,2.0,0.0,0.03,0.23,0.26,0.03,0.26,2.9,2.9,0.09,0.09,30.7,10.0,1.0,21.7,0.33,0.02,0.1,0.06,-1.9,-1.9,1077.0,1540.0,69.9,16904.0,8100.0,557.0,674.0,82.6,428.0,584.0,73.3,65.0,155.0,41.9,44.0,100.0,55.0,14.0,174.0,1266.0,261.0,9.0,0.0,2.0,94.0,6.0,3.0,0.0,0.0,246.0,13.0,50.0,91.0,2.96,79.0,4.0,5.0,0.0,11.0,0.36,11.0,0.0,0.0,0.0,0.0,36.0,23.0,20.0,8.0,8.0,28.0,4.0,24.0,19.0,49.0,1.0,1812.0,72.0,369.0,759.0,700.0,120.0,1812.0,883.0,101.0,54.0,38.0,1075.0,34.0,8.0,0.0,13.0,8.0,11.0,0.0,0.0,0.0,200.0,14.0,18.0,43.8
+Manuel Lazzari,it ITA,DF,Lazio,27,1993,31.0,16.0,1665.0,3.0,3.0,0.0,0.0,3.0,0.0,0.16,0.16,0.32,0.16,0.32,0.8,0.8,0.04,0.04,18.5,6.0,0.0,50.0,0.32,0.25,0.5,0.06,2.2,2.2,859.0,1014.0,84.7,11935.0,3467.0,507.0,554.0,91.5,269.0,324.0,83.0,32.0,54.0,59.3,13.0,50.0,15.0,6.0,50.0,836.0,178.0,18.0,1.0,1.0,56.0,0.0,0.0,0.0,0.0,160.0,0.0,18.0,34.0,1.84,26.0,2.0,0.0,3.0,11.0,0.6,6.0,1.0,0.0,2.0,1.0,28.0,14.0,13.0,15.0,0.0,10.0,2.0,8.0,12.0,16.0,1.0,1179.0,35.0,283.0,571.0,345.0,38.0,1179.0,693.0,80.0,64.0,15.0,775.0,24.0,6.0,0.0,18.0,44.0,4.0,0.0,0.0,0.0,85.0,4.0,20.0,16.7
+Patrick Leal,us USA,FW,Venezia,18,2003,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Rafael Leão,pt POR,FW,Milan,22,1999,34.0,31.0,2605.0,11.0,10.0,0.0,0.0,4.0,0.0,0.38,0.35,0.73,0.38,0.73,8.8,8.8,0.3,0.3,28.9,38.0,0.0,39.2,1.31,0.11,0.29,0.09,2.2,2.2,555.0,787.0,70.5,9136.0,2681.0,284.0,368.0,77.2,187.0,244.0,76.6,60.0,84.0,71.4,45.0,46.0,48.0,12.0,101.0,759.0,21.0,3.0,4.0,9.0,63.0,2.0,0.0,0.0,0.0,14.0,7.0,38.0,113.0,3.9,65.0,0.0,9.0,11.0,19.0,0.66,13.0,0.0,0.0,1.0,0.0,17.0,7.0,3.0,9.0,5.0,12.0,1.0,11.0,12.0,8.0,0.0,1166.0,12.0,58.0,434.0,707.0,172.0,1166.0,808.0,161.0,109.0,69.0,914.0,71.0,50.0,0.0,25.0,45.0,8.0,2.0,0.0,0.0,99.0,28.0,37.0,43.1
+Lucas Leiva,br BRA,MF,Lazio,34,1987,35.0,19.0,1697.0,0.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,18.9,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,1131.0,1235.0,91.6,17560.0,5617.0,624.0,665.0,93.8,405.0,430.0,94.2,73.0,86.0,84.9,6.0,131.0,3.0,0.0,84.0,1194.0,37.0,36.0,0.0,2.0,4.0,1.0,0.0,1.0,0.0,0.0,4.0,12.0,21.0,1.11,17.0,1.0,0.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,55.0,30.0,26.0,25.0,4.0,27.0,10.0,17.0,28.0,37.0,0.0,1412.0,71.0,359.0,953.0,108.0,0.0,1412.0,640.0,10.0,6.0,0.0,974.0,4.0,8.0,0.0,37.0,17.0,0.0,0.0,0.0,0.0,122.0,24.0,16.0,60.0
+Luca Lezzerini,it ITA,GK,Venezia,26,1995,6.0,6.0,495.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,155.0,199.0,77.9,3899.0,2488.0,32.0,32.0,100.0,74.0,74.0,100.0,46.0,90.0,51.1,0.0,0.0,0.0,0.0,0.0,132.0,67.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.18,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,215.0,193.0,214.0,1.0,0.0,0.0,215.0,115.0,0.0,0.0,0.0,80.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
+Ben Lhassine Kone,ci CIV,MF,Torino,21,2000,1.0,0.0,81.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29.0,37.0,78.4,571.0,121.0,13.0,17.0,76.5,12.0,15.0,80.0,4.0,4.0,100.0,2.0,2.0,0.0,0.0,3.0,37.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.22,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,1.0,2.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,41.0,2.0,10.0,28.0,3.0,0.0,41.0,21.0,1.0,0.0,0.0,23.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,6.0,1.0,0.0,100.0
+Matthijs de Ligt,nl NED,DF,Juventus,21,1999,31.0,29.0,2674.0,3.0,1.0,0.0,0.0,4.0,1.0,0.1,0.03,0.13,0.1,0.13,1.6,1.6,0.05,0.05,29.7,10.0,0.0,50.0,0.34,0.15,0.3,0.08,1.4,1.4,1510.0,1704.0,88.6,29785.0,10135.0,482.0,522.0,92.3,841.0,899.0,93.5,170.0,241.0,70.5,9.0,74.0,4.0,1.0,68.0,1643.0,58.0,34.0,1.0,12.0,4.0,0.0,0.0,0.0,0.0,9.0,3.0,6.0,22.0,0.74,16.0,0.0,3.0,1.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,34.0,19.0,21.0,13.0,0.0,31.0,21.0,10.0,26.0,103.0,0.0,1967.0,262.0,934.0,947.0,93.0,36.0,1967.0,1125.0,18.0,10.0,0.0,1356.0,12.0,3.0,1.0,32.0,15.0,2.0,0.0,1.0,0.0,129.0,89.0,52.0,63.1
+Anderson Lima,br BRA,MF,Lazio,21,1999,4.0,0.0,65.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.1,0.1,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.1,-0.1,24.0,31.0,77.4,342.0,68.0,15.0,18.0,83.3,7.0,8.0,87.5,1.0,3.0,33.3,0.0,0.0,1.0,0.0,3.0,30.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.38,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,2.0,1.0,0.0,47.0,3.0,15.0,26.0,7.0,1.0,47.0,27.0,0.0,0.0,0.0,38.0,3.0,2.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+"Karol Linetty,pl POL,""MF,FW"",Torino,26,1995,16.0,11.0,896.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.07,0.07,10.0,2.0,0.0,15.4,0.2,0.0,0.0,0.06,-0.7,-0.7,218.0,279.0,78.1,3045.0,760.0,125.0,151.0,82.8,76.0,92.0,82.6,7.0,13.0,53.8,16.0,19.0,7.0,0.0,22.0,264.0,14.0,3.0,0.0,1.0,8.0,8.0,0.0,4.0,0.0,1.0,1.0,11.0,33.0,3.32,26.0,2.0,3.0,0.0,2.0,0.2,2.0,0.0,0.0,0.0,0.0,14.0,8.0,3.0,4.0,7.0,8.0,0.0,8.0,3.0,2.0,0.0,386.0,3.0,42.0,178.0,169.0,25.0,386.0,192.0,10.0,14.0,5.0,241.0,28.0,7.0,0.0,30.0,10.0,0.0,0.0,0.0,0.0,42.0,9.0,17.0,34.6"
+Stanislav Lobotka,sk SVK,MF,Napoli,26,1994,23.0,19.0,1686.0,1.0,0.0,0.0,0.0,2.0,0.0,0.05,0.0,0.05,0.05,0.05,0.1,0.1,0.01,0.01,18.7,1.0,0.0,50.0,0.05,0.5,1.0,0.06,0.9,0.9,1327.0,1419.0,93.5,19317.0,4857.0,727.0,755.0,96.3,476.0,516.0,92.2,57.0,65.0,87.7,15.0,128.0,6.0,0.0,93.0,1401.0,18.0,17.0,2.0,2.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,38.0,2.03,36.0,0.0,0.0,2.0,1.0,0.05,0.0,0.0,0.0,1.0,0.0,39.0,24.0,16.0,20.0,3.0,9.0,1.0,8.0,12.0,13.0,1.0,1541.0,48.0,277.0,1095.0,185.0,3.0,1541.0,1130.0,25.0,35.0,0.0,1249.0,13.0,12.0,0.0,19.0,35.0,0.0,0.0,0.0,0.0,144.0,8.0,10.0,44.4
+Manuel Locatelli,it ITA,MF,Juventus,23,1998,31.0,23.0,2160.0,3.0,3.0,0.0,0.0,6.0,0.0,0.12,0.12,0.25,0.12,0.25,2.2,2.2,0.09,0.09,24.0,3.0,0.0,14.3,0.12,0.14,1.0,0.1,0.8,0.8,1221.0,1435.0,85.1,22351.0,8006.0,534.0,595.0,89.7,528.0,591.0,89.3,138.0,200.0,69.0,18.0,144.0,25.0,1.0,147.0,1371.0,58.0,54.0,6.0,22.0,8.0,0.0,0.0,0.0,0.0,2.0,6.0,16.0,57.0,2.38,52.0,0.0,3.0,0.0,8.0,0.33,7.0,0.0,1.0,0.0,0.0,44.0,25.0,21.0,16.0,7.0,43.0,21.0,22.0,22.0,33.0,0.0,1676.0,86.0,445.0,976.0,268.0,28.0,1676.0,920.0,15.0,21.0,4.0,1183.0,26.0,16.0,0.0,42.0,25.0,2.0,0.0,0.0,0.0,167.0,31.0,22.0,58.5
+Maxime Lopez,fr FRA,MF,Sassuolo,23,1997,35.0,33.0,2938.0,2.0,1.0,0.0,0.0,14.0,0.0,0.06,0.03,0.09,0.06,0.09,1.5,1.5,0.05,0.05,32.6,6.0,0.0,37.5,0.18,0.13,0.33,0.09,0.5,0.5,2357.0,2599.0,90.7,36504.0,12683.0,1271.0,1338.0,95.0,849.0,927.0,91.6,155.0,199.0,77.9,49.0,254.0,15.0,4.0,236.0,2522.0,75.0,69.0,1.0,5.0,17.0,2.0,0.0,1.0,0.0,4.0,2.0,23.0,107.0,3.28,97.0,0.0,2.0,1.0,10.0,0.31,10.0,0.0,0.0,0.0,0.0,69.0,36.0,40.0,27.0,2.0,33.0,7.0,26.0,42.0,38.0,1.0,2895.0,128.0,746.0,1784.0,394.0,24.0,2895.0,1878.0,77.0,67.0,9.0,2231.0,37.0,28.0,0.0,37.0,31.0,0.0,0.0,0.0,0.0,217.0,7.0,6.0,53.8
+Matteo Lovato,it ITA,DF,Atalanta,21,2000,6.0,3.0,305.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,3.4,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.0,0.0,165.0,194.0,85.1,2978.0,935.0,77.0,83.0,92.8,69.0,79.0,87.3,18.0,24.0,75.0,2.0,14.0,1.0,0.0,10.0,189.0,5.0,5.0,0.0,1.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,1.18,4.0,0.0,0.0,0.0,1.0,0.3,1.0,0.0,0.0,0.0,0.0,5.0,4.0,4.0,1.0,0.0,4.0,2.0,2.0,7.0,8.0,0.0,230.0,17.0,80.0,127.0,24.0,3.0,230.0,115.0,2.0,3.0,1.0,158.0,6.0,2.0,0.0,5.0,1.0,0.0,0.0,0.0,0.0,12.0,10.0,5.0,66.7
+Matteo Lovato,it ITA,DF,Cagliari,21,2000,16.0,14.0,1238.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.03,0.03,13.8,1.0,0.0,16.7,0.07,0.0,0.0,0.08,-0.5,-0.5,488.0,592.0,82.4,10110.0,4267.0,139.0,159.0,87.4,268.0,298.0,89.9,69.0,111.0,62.2,4.0,21.0,2.0,0.0,21.0,535.0,55.0,52.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,5.0,0.36,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,15.0,13.0,10.0,0.0,21.0,10.0,11.0,28.0,43.0,0.0,729.0,110.0,418.0,305.0,15.0,6.0,729.0,319.0,3.0,4.0,0.0,332.0,7.0,5.0,0.0,16.0,14.0,0.0,0.0,1.0,0.0,106.0,21.0,23.0,47.7
+Hirving Lozano,mx MEX,FW,Napoli,26,1995,30.0,20.0,1613.0,5.0,5.0,0.0,0.0,3.0,0.0,0.28,0.28,0.56,0.28,0.56,5.9,5.7,0.33,0.32,17.9,19.0,0.0,38.0,1.06,0.1,0.26,0.11,-0.9,-0.7,454.0,585.0,77.6,6134.0,1388.0,298.0,342.0,87.1,126.0,157.0,80.3,13.0,23.0,56.5,28.0,22.0,32.0,12.0,53.0,571.0,12.0,1.0,1.0,2.0,49.0,1.0,0.0,0.0,0.0,10.0,2.0,30.0,65.0,3.63,52.0,0.0,3.0,4.0,12.0,0.67,9.0,0.0,0.0,2.0,0.0,28.0,20.0,12.0,11.0,5.0,24.0,0.0,24.0,9.0,9.0,0.0,813.0,12.0,109.0,311.0,406.0,85.0,813.0,532.0,82.0,37.0,31.0,621.0,52.0,32.0,0.0,27.0,33.0,14.0,1.0,0.0,0.0,61.0,10.0,13.0,43.5
+José Luis Palomino,ar ARG,DF,Atalanta,31,1990,34.0,30.0,2672.0,1.0,0.0,0.0,0.0,9.0,0.0,0.03,0.0,0.03,0.03,0.03,2.1,2.1,0.07,0.07,29.7,3.0,0.0,21.4,0.1,0.07,0.33,0.15,-1.1,-1.1,1349.0,1663.0,81.1,26093.0,9737.0,469.0,539.0,87.0,700.0,802.0,87.3,160.0,265.0,60.4,5.0,89.0,7.0,2.0,113.0,1595.0,66.0,60.0,0.0,5.0,9.0,0.0,0.0,0.0,0.0,6.0,2.0,15.0,20.0,0.67,18.0,0.0,1.0,0.0,2.0,0.07,1.0,0.0,0.0,0.0,1.0,78.0,40.0,42.0,33.0,3.0,43.0,21.0,22.0,100.0,80.0,2.0,2013.0,173.0,885.0,1051.0,103.0,35.0,2013.0,1029.0,15.0,14.0,1.0,1070.0,15.0,7.0,0.0,39.0,17.0,1.0,0.0,0.0,0.0,272.0,105.0,48.0,68.6
+Saša Lukić,rs SRB,MF,Torino,24,1996,35.0,34.0,2982.0,5.0,4.0,3.0,3.0,10.0,0.0,0.15,0.12,0.27,0.06,0.18,4.7,2.3,0.14,0.07,33.1,7.0,4.0,24.1,0.21,0.07,0.29,0.08,0.3,-0.3,1512.0,1741.0,86.8,26251.0,6157.0,649.0,714.0,90.9,691.0,760.0,90.9,129.0,164.0,78.7,32.0,146.0,18.0,3.0,148.0,1666.0,71.0,62.0,6.0,10.0,25.0,5.0,2.0,1.0,0.0,4.0,4.0,29.0,80.0,2.41,57.0,10.0,4.0,3.0,10.0,0.3,7.0,0.0,1.0,0.0,1.0,51.0,34.0,17.0,27.0,7.0,34.0,6.0,28.0,24.0,41.0,0.0,2039.0,59.0,340.0,1254.0,469.0,36.0,2036.0,1222.0,68.0,72.0,12.0,1348.0,43.0,8.0,0.0,85.0,46.0,1.0,0.0,0.0,0.0,203.0,42.0,54.0,43.8
+Sebastiano Luperto,it ITA,DF,Empoli,24,1996,24.0,22.0,1958.0,0.0,1.0,0.0,0.0,8.0,1.0,0.0,0.05,0.05,0.0,0.05,0.7,0.7,0.03,0.03,21.8,3.0,0.0,33.3,0.14,0.0,0.0,0.07,-0.7,-0.7,821.0,982.0,83.6,16406.0,6050.0,249.0,279.0,89.2,478.0,524.0,91.2,88.0,159.0,55.3,9.0,56.0,5.0,2.0,76.0,895.0,82.0,42.0,1.0,8.0,6.0,0.0,0.0,0.0,0.0,4.0,5.0,4.0,17.0,0.78,14.0,1.0,1.0,0.0,1.0,0.05,1.0,0.0,0.0,0.0,0.0,29.0,17.0,17.0,10.0,2.0,32.0,26.0,6.0,45.0,132.0,0.0,1256.0,273.0,717.0,503.0,40.0,13.0,1256.0,691.0,21.0,14.0,0.0,699.0,8.0,2.0,1.0,30.0,5.0,1.0,0.0,1.0,0.0,92.0,44.0,44.0,50.0
+"Charalambos Lykogiannis,gr GRE,""DF,FW"",Cagliari,27,1993,28.0,21.0,1817.0,1.0,0.0,0.0,0.0,2.0,0.0,0.05,0.0,0.05,0.05,0.05,1.1,1.1,0.05,0.05,20.2,7.0,6.0,31.8,0.35,0.05,0.14,0.05,-0.1,-0.1,460.0,766.0,60.1,8461.0,3808.0,194.0,252.0,77.0,220.0,337.0,65.3,43.0,136.0,31.6,12.0,33.0,9.0,7.0,34.0,558.0,206.0,21.0,0.0,3.0,95.0,18.0,3.0,13.0,1.0,166.0,2.0,32.0,27.0,1.34,14.0,10.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,12.0,16.0,1.0,2.0,18.0,8.0,10.0,31.0,73.0,0.0,1003.0,89.0,364.0,386.0,269.0,18.0,1003.0,409.0,28.0,22.0,3.0,487.0,34.0,9.0,0.0,29.0,14.0,0.0,0.0,1.0,0.0,90.0,33.0,29.0,53.2"
+Niki Mäenpää,fi FIN,GK,Venezia,36,1985,17.0,16.0,1485.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.06,0.06,0.0,0.06,0.0,0.0,0.0,0.0,16.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,353.0,523.0,67.5,9427.0,6883.0,95.0,96.0,99.0,152.0,156.0,97.4,102.0,265.0,38.5,1.0,4.0,1.0,0.0,0.0,327.0,195.0,52.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,2.0,568.0,493.0,565.0,3.0,0.0,0.0,568.0,264.0,0.0,0.0,0.0,212.0,0.0,2.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,22.0,7.0,0.0,100.0
+Giulio Maggiore,it ITA,MF,Spezia,23,1998,35.0,33.0,2819.0,2.0,3.0,0.0,0.0,9.0,0.0,0.06,0.1,0.16,0.06,0.16,4.0,4.0,0.13,0.13,31.3,8.0,0.0,19.0,0.26,0.05,0.25,0.09,-2.0,-2.0,834.0,1123.0,74.3,13492.0,4437.0,421.0,507.0,83.0,332.0,400.0,83.0,59.0,138.0,42.8,31.0,96.0,28.0,1.0,120.0,1103.0,11.0,4.0,7.0,3.0,13.0,0.0,0.0,0.0,0.0,3.0,9.0,25.0,73.0,2.33,60.0,0.0,3.0,5.0,5.0,0.16,5.0,0.0,0.0,0.0,0.0,58.0,32.0,20.0,32.0,6.0,30.0,5.0,25.0,29.0,33.0,0.0,1481.0,54.0,358.0,802.0,343.0,45.0,1481.0,833.0,39.0,36.0,10.0,971.0,72.0,28.0,0.0,64.0,67.0,1.0,0.0,1.0,0.0,206.0,33.0,42.0,44.0
+Francesco Magnanelli,it ITA,MF,Sassuolo,36,1984,12.0,2.0,271.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,228.0,255.0,89.4,3913.0,1045.0,111.0,119.0,93.3,85.0,90.0,94.4,24.0,34.0,70.6,1.0,24.0,1.0,0.0,20.0,239.0,16.0,16.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.67,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,4.0,1.0,0.0,3.0,1.0,2.0,1.0,3.0,0.0,274.0,18.0,66.0,186.0,24.0,0.0,274.0,130.0,1.0,1.0,0.0,183.0,1.0,1.0,0.0,10.0,7.0,0.0,0.0,0.0,0.0,42.0,3.0,3.0,50.0
+Giangiacomo Magnani,it ITA,DF,Hellas Verona,25,1995,14.0,5.0,530.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.15,0.15,5.9,1.0,0.0,20.0,0.17,0.0,0.0,0.18,-0.9,-0.9,174.0,229.0,76.0,3305.0,1190.0,57.0,69.0,82.6,97.0,119.0,81.5,17.0,31.0,54.8,0.0,17.0,1.0,0.0,12.0,223.0,5.0,3.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,7.0,5.0,5.0,0.0,5.0,3.0,2.0,10.0,46.0,0.0,318.0,49.0,147.0,160.0,13.0,5.0,318.0,158.0,5.0,1.0,0.0,157.0,4.0,0.0,0.0,11.0,9.0,0.0,0.0,0.0,0.0,26.0,19.0,14.0,57.6
+Giangiacomo Magnani,it ITA,DF,Sampdoria,25,1995,4.0,3.0,239.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,130.0,155.0,83.9,2576.0,927.0,39.0,45.0,86.7,76.0,80.0,95.0,14.0,27.0,51.9,0.0,5.0,0.0,0.0,3.0,152.0,3.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.38,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,0.0,0.0,2.0,2.0,0.0,7.0,12.0,0.0,185.0,30.0,126.0,59.0,0.0,0.0,185.0,117.0,2.0,0.0,0.0,132.0,1.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,6.0,7.0,3.0,70.0
+Mike Maignan,fr FRA,GK,Milan,26,1995,32.0,32.0,2880.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.03,0.03,0.0,0.03,0.0,0.0,0.0,0.0,32.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,913.0,1154.0,79.1,24884.0,17336.0,172.0,172.0,100.0,429.0,431.0,99.5,305.0,543.0,56.2,2.0,36.0,2.0,0.0,1.0,940.0,213.0,64.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,0.28,6.0,3.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,2.0,1207.0,867.0,1195.0,13.0,0.0,0.0,1207.0,798.0,0.0,0.0,0.0,660.0,2.0,1.0,0.0,0.0,8.0,0.0,0.0,0.0,0.0,51.0,6.0,2.0,75.0
+Ainsley Maitland-Niles,eng ENG,DF,Roma,23,1997,8.0,7.0,487.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.05,0.05,5.4,2.0,0.0,66.7,0.37,0.0,0.0,0.09,-0.3,-0.3,249.0,326.0,76.4,4079.0,1366.0,126.0,142.0,88.7,96.0,122.0,78.7,20.0,41.0,48.8,5.0,15.0,6.0,4.0,24.0,256.0,69.0,2.0,1.0,5.0,25.0,0.0,0.0,0.0,0.0,67.0,1.0,8.0,15.0,2.77,11.0,1.0,2.0,0.0,2.0,0.37,2.0,0.0,0.0,0.0,0.0,8.0,6.0,5.0,0.0,3.0,7.0,0.0,7.0,6.0,7.0,0.0,376.0,9.0,100.0,157.0,120.0,7.0,376.0,175.0,13.0,7.0,1.0,216.0,6.0,3.0,0.0,6.0,1.0,1.0,0.0,0.0,0.0,42.0,8.0,1.0,88.9
+Jean-Victor Makengo,fr FRA,MF,Udinese,23,1998,33.0,26.0,2351.0,1.0,3.0,0.0,0.0,7.0,1.0,0.04,0.11,0.15,0.04,0.15,3.0,3.0,0.11,0.11,26.1,10.0,0.0,31.3,0.38,0.03,0.1,0.09,-2.0,-2.0,702.0,843.0,83.3,10197.0,2658.0,404.0,449.0,90.0,232.0,266.0,87.2,32.0,49.0,65.3,26.0,70.0,15.0,3.0,95.0,829.0,8.0,1.0,2.0,3.0,8.0,1.0,0.0,0.0,0.0,4.0,6.0,22.0,59.0,2.26,45.0,0.0,4.0,3.0,6.0,0.23,5.0,0.0,0.0,0.0,0.0,30.0,21.0,7.0,17.0,6.0,26.0,6.0,20.0,19.0,17.0,0.0,1073.0,29.0,207.0,598.0,293.0,37.0,1073.0,658.0,55.0,51.0,11.0,706.0,41.0,19.0,1.0,27.0,38.0,1.0,0.0,0.0,0.0,150.0,10.0,24.0,29.4
+Nikola Maksimović,rs SRB,DF,Genoa,29,1991,14.0,13.0,1115.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,12.4,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.2,-0.2,421.0,508.0,82.9,8193.0,3305.0,145.0,165.0,87.9,221.0,244.0,90.6,52.0,88.0,59.1,2.0,37.0,1.0,1.0,35.0,467.0,40.0,28.0,1.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,6.0,4.0,0.32,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,6.0,10.0,4.0,0.0,17.0,11.0,6.0,12.0,61.0,1.0,634.0,121.0,369.0,248.0,23.0,9.0,634.0,291.0,3.0,3.0,0.0,318.0,4.0,3.0,0.0,10.0,8.0,0.0,0.0,1.0,0.0,73.0,33.0,21.0,61.1
+"Kévin Malcuit,ma MAR,""DF,MF"",Napoli,30,1991,8.0,2.0,288.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.31,0.31,0.0,0.31,0.0,0.0,0.01,0.01,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,110.0,156.0,70.5,1710.0,723.0,61.0,74.0,82.4,40.0,52.0,76.9,8.0,19.0,42.1,2.0,7.0,3.0,1.0,11.0,131.0,24.0,1.0,1.0,1.0,12.0,0.0,0.0,0.0,0.0,23.0,1.0,3.0,4.0,1.25,3.0,0.0,0.0,0.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,4.0,2.0,4.0,0.0,0.0,3.0,0.0,3.0,8.0,6.0,0.0,193.0,10.0,72.0,72.0,49.0,4.0,193.0,99.0,8.0,3.0,1.0,115.0,5.0,2.0,0.0,8.0,5.0,0.0,0.0,0.0,0.0,15.0,4.0,5.0,44.4"
+Daniel Maldini,it ITA,MF,Milan,19,2001,8.0,2.0,148.0,1.0,0.0,0.0,0.0,1.0,0.0,0.61,0.0,0.61,0.61,0.61,0.4,0.4,0.26,0.26,1.6,1.0,0.0,33.3,0.61,0.33,1.0,0.14,0.6,0.6,33.0,48.0,68.8,479.0,118.0,20.0,27.0,74.1,12.0,14.0,85.7,1.0,2.0,50.0,1.0,1.0,1.0,0.0,3.0,45.0,2.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.61,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,3.0,4.0,3.0,1.0,4.0,0.0,4.0,1.0,0.0,0.0,75.0,0.0,9.0,36.0,31.0,9.0,75.0,42.0,7.0,4.0,1.0,50.0,8.0,1.0,0.0,4.0,1.0,1.0,0.0,0.0,0.0,5.0,3.0,5.0,37.5
+Youssef Maleh,it ITA,MF,Fiorentina,22,1998,28.0,11.0,1019.0,2.0,2.0,0.0,0.0,5.0,0.0,0.18,0.18,0.35,0.18,0.35,2.3,2.3,0.2,0.2,11.3,5.0,0.0,23.8,0.44,0.1,0.4,0.11,-0.3,-0.3,332.0,417.0,79.6,5343.0,1275.0,181.0,207.0,87.4,119.0,144.0,82.6,24.0,40.0,60.0,14.0,30.0,7.0,4.0,43.0,408.0,6.0,3.0,0.0,4.0,18.0,0.0,0.0,0.0,0.0,3.0,3.0,10.0,24.0,2.12,20.0,0.0,1.0,3.0,3.0,0.26,3.0,0.0,0.0,0.0,0.0,27.0,16.0,8.0,13.0,6.0,14.0,1.0,13.0,6.0,2.0,0.0,545.0,1.0,75.0,266.0,207.0,40.0,545.0,288.0,12.0,9.0,3.0,391.0,27.0,8.0,0.0,43.0,19.0,0.0,0.0,0.0,0.0,48.0,11.0,9.0,55.0
+"Ruslan Malinovskyi,ua UKR,""MF,FW"",Atalanta,28,1993,30.0,19.0,1592.0,6.0,5.0,0.0,0.0,10.0,0.0,0.34,0.28,0.62,0.34,0.62,3.3,3.3,0.19,0.19,17.7,17.0,7.0,29.8,0.96,0.11,0.35,0.06,2.7,2.7,669.0,928.0,72.1,11706.0,3601.0,293.0,352.0,83.2,257.0,329.0,78.1,87.0,162.0,53.7,45.0,70.0,48.0,6.0,111.0,836.0,90.0,22.0,7.0,15.0,102.0,60.0,29.0,28.0,1.0,8.0,2.0,29.0,104.0,5.87,55.0,24.0,9.0,7.0,8.0,0.45,6.0,0.0,1.0,1.0,0.0,18.0,10.0,3.0,10.0,5.0,27.0,3.0,24.0,5.0,1.0,0.0,1161.0,4.0,81.0,516.0,588.0,47.0,1161.0,731.0,59.0,54.0,10.0,883.0,70.0,48.0,0.0,40.0,41.0,3.0,0.0,0.0,0.0,95.0,18.0,19.0,48.6"
+Rey Manaj,al ALB,FW,Spezia,24,1997,30.0,19.0,1768.0,5.0,0.0,2.0,3.0,9.0,0.0,0.25,0.0,0.25,0.15,0.15,7.5,5.1,0.38,0.26,19.6,14.0,6.0,27.5,0.71,0.06,0.21,0.1,-2.5,-2.1,329.0,448.0,73.4,4645.0,721.0,197.0,253.0,77.9,109.0,137.0,79.6,10.0,14.0,71.4,13.0,25.0,5.0,1.0,29.0,387.0,59.0,4.0,1.0,1.0,6.0,1.0,0.0,1.0,0.0,0.0,2.0,12.0,50.0,2.55,27.0,0.0,6.0,9.0,5.0,0.25,0.0,0.0,3.0,2.0,0.0,19.0,12.0,3.0,11.0,5.0,16.0,0.0,16.0,4.0,13.0,0.0,724.0,14.0,53.0,383.0,298.0,65.0,721.0,404.0,32.0,21.0,13.0,540.0,73.0,59.0,0.0,54.0,62.0,11.0,1.0,0.0,0.0,57.0,69.0,96.0,41.8
+Gianluca Mancini,it ITA,DF,Roma,25,1996,33.0,33.0,2878.0,0.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,0.0,2.4,2.3,0.07,0.07,32.0,6.0,0.0,25.0,0.19,0.0,0.0,0.1,-2.4,-2.3,1533.0,1817.0,84.4,29867.0,11118.0,513.0,564.0,91.0,828.0,893.0,92.7,180.0,319.0,56.4,6.0,125.0,16.0,2.0,137.0,1758.0,56.0,42.0,3.0,8.0,15.0,0.0,0.0,0.0,0.0,8.0,3.0,13.0,41.0,1.28,33.0,1.0,5.0,2.0,4.0,0.13,3.0,0.0,1.0,0.0,0.0,41.0,25.0,22.0,18.0,1.0,38.0,19.0,19.0,39.0,69.0,0.0,2067.0,229.0,951.0,1002.0,121.0,39.0,2067.0,1208.0,30.0,22.0,1.0,1525.0,13.0,3.0,1.0,59.0,15.0,1.0,0.0,1.0,0.0,129.0,70.0,31.0,69.3
+Leonardo Mancuso,it ITA,FW,Empoli,29,1992,8.0,5.0,425.0,1.0,0.0,0.0,0.0,0.0,0.0,0.21,0.0,0.21,0.21,0.21,1.9,1.9,0.4,0.4,4.7,5.0,0.0,41.7,1.06,0.08,0.2,0.16,-0.9,-0.9,51.0,77.0,66.2,806.0,180.0,32.0,42.0,76.2,11.0,21.0,52.4,7.0,11.0,63.6,3.0,1.0,5.0,1.0,5.0,67.0,10.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,9.0,1.9,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,1.0,2.0,0.0,113.0,2.0,9.0,40.0,65.0,13.0,113.0,61.0,5.0,4.0,1.0,75.0,11.0,4.0,0.0,1.0,2.0,5.0,0.0,0.0,0.0,11.0,1.0,11.0,8.3
+Rolando Mandragora,it ITA,MF,Torino,24,1997,21.0,16.0,1319.0,0.0,2.0,0.0,0.0,7.0,1.0,0.0,0.14,0.14,0.0,0.14,1.2,1.2,0.08,0.08,14.7,5.0,3.0,21.7,0.34,0.0,0.0,0.05,-1.2,-1.2,647.0,769.0,84.1,10725.0,3264.0,314.0,343.0,91.5,257.0,295.0,87.1,56.0,91.0,61.5,31.0,83.0,11.0,6.0,82.0,654.0,113.0,58.0,0.0,2.0,47.0,38.0,24.0,8.0,0.0,2.0,2.0,7.0,52.0,3.55,31.0,18.0,1.0,1.0,4.0,0.27,3.0,1.0,0.0,0.0,0.0,21.0,10.0,3.0,16.0,2.0,18.0,4.0,14.0,10.0,13.0,0.0,894.0,26.0,125.0,541.0,237.0,18.0,894.0,469.0,20.0,14.0,4.0,537.0,15.0,9.0,1.0,25.0,22.0,1.0,0.0,0.0,0.0,87.0,16.0,20.0,44.4
+Kostas Manolas,gr GRE,DF,Napoli,30,1991,4.0,3.0,313.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,223.0,234.0,95.3,4147.0,1502.0,86.0,88.0,97.7,114.0,119.0,95.8,22.0,24.0,91.7,0.0,14.0,0.0,0.0,13.0,228.0,5.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.29,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,2.0,1.0,1.0,4.0,10.0,1.0,253.0,35.0,88.0,163.0,2.0,0.0,253.0,180.0,2.0,1.0,0.0,199.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,5.0,50.0
+Riccardo Marchizza,it ITA,DF,Empoli,23,1998,19.0,16.0,1346.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.07,0.07,0.0,0.07,0.3,0.3,0.02,0.02,15.0,1.0,1.0,12.5,0.07,0.0,0.0,0.03,-0.3,-0.3,460.0,667.0,69.0,7988.0,2761.0,224.0,253.0,88.5,186.0,247.0,75.3,43.0,114.0,37.7,11.0,36.0,13.0,10.0,58.0,504.0,157.0,10.0,0.0,1.0,42.0,1.0,0.0,0.0,0.0,146.0,6.0,26.0,22.0,1.47,16.0,3.0,1.0,0.0,4.0,0.27,1.0,2.0,0.0,0.0,0.0,21.0,15.0,11.0,8.0,2.0,15.0,6.0,9.0,10.0,24.0,0.0,797.0,43.0,209.0,356.0,239.0,18.0,797.0,402.0,27.0,20.0,2.0,415.0,16.0,8.0,0.0,19.0,3.0,2.0,0.0,0.0,1.0,72.0,7.0,9.0,43.8
+Gian Marco Ferrari,it ITA,DF,Sassuolo,29,1992,36.0,35.0,3124.0,1.0,0.0,0.0,0.0,6.0,1.0,0.03,0.0,0.03,0.03,0.03,1.8,1.8,0.05,0.05,34.7,10.0,0.0,40.0,0.29,0.04,0.1,0.07,-0.8,-0.8,2028.0,2259.0,89.8,37880.0,14982.0,726.0,787.0,92.2,1008.0,1083.0,93.1,231.0,297.0,77.8,7.0,127.0,9.0,0.0,133.0,2070.0,184.0,120.0,2.0,24.0,1.0,0.0,0.0,0.0,0.0,6.0,5.0,6.0,30.0,0.86,26.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,11.0,10.0,6.0,0.0,37.0,27.0,10.0,43.0,114.0,2.0,2556.0,368.0,1343.0,1140.0,85.0,32.0,2556.0,1495.0,21.0,17.0,1.0,1741.0,23.0,5.0,1.0,25.0,37.0,1.0,0.0,0.0,0.0,168.0,79.0,43.0,64.8
+Davide Marfella,it ITA,GK,Napoli,21,1999,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,15.0,9.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Pablo Marí,es ESP,DF,Udinese,27,1993,15.0,15.0,1341.0,2.0,0.0,0.0,0.0,2.0,1.0,0.13,0.0,0.13,0.13,0.13,0.7,0.7,0.04,0.04,14.9,5.0,0.0,50.0,0.34,0.2,0.4,0.07,1.3,1.3,441.0,621.0,71.0,9269.0,4255.0,139.0,166.0,83.7,218.0,271.0,80.4,77.0,161.0,47.8,4.0,21.0,0.0,0.0,20.0,515.0,99.0,44.0,1.0,8.0,3.0,0.0,0.0,0.0,0.0,54.0,7.0,6.0,11.0,0.74,4.0,6.0,0.0,0.0,1.0,0.07,0.0,0.0,0.0,0.0,0.0,16.0,8.0,8.0,6.0,2.0,18.0,12.0,6.0,21.0,72.0,0.0,784.0,148.0,440.0,275.0,73.0,16.0,784.0,326.0,2.0,2.0,1.0,349.0,12.0,1.0,0.0,20.0,4.0,0.0,0.0,1.0,0.0,84.0,43.0,22.0,66.2
+Răzvan Marin,ro ROU,MF,Cagliari,25,1996,36.0,31.0,2816.0,0.0,5.0,0.0,0.0,6.0,1.0,0.0,0.16,0.16,0.0,0.16,1.8,1.8,0.06,0.06,31.3,7.0,9.0,17.1,0.22,0.0,0.0,0.04,-1.8,-1.8,997.0,1303.0,76.5,18286.0,5962.0,440.0,503.0,87.5,371.0,435.0,85.3,156.0,285.0,54.7,68.0,111.0,31.0,6.0,142.0,1113.0,183.0,83.0,6.0,12.0,127.0,78.0,27.0,43.0,0.0,9.0,7.0,27.0,118.0,3.77,70.0,36.0,4.0,3.0,10.0,0.32,8.0,1.0,0.0,0.0,1.0,42.0,21.0,16.0,22.0,4.0,23.0,5.0,18.0,10.0,17.0,1.0,1557.0,34.0,239.0,834.0,508.0,26.0,1557.0,899.0,49.0,51.0,5.0,966.0,53.0,32.0,1.0,36.0,31.0,1.0,0.0,0.0,0.0,168.0,20.0,25.0,44.4
+Lautaro Martínez,ar ARG,FW,Inter,23,1997,35.0,28.0,2282.0,21.0,3.0,3.0,6.0,6.0,0.0,0.83,0.12,0.95,0.71,0.83,20.9,16.7,0.83,0.66,25.4,47.0,0.0,42.0,1.85,0.16,0.38,0.15,0.1,1.3,371.0,510.0,72.7,5262.0,1164.0,207.0,259.0,79.9,113.0,155.0,72.9,21.0,34.0,61.8,28.0,27.0,15.0,1.0,48.0,473.0,35.0,1.0,3.0,1.0,15.0,0.0,0.0,0.0,0.0,3.0,2.0,17.0,73.0,2.88,44.0,0.0,19.0,7.0,10.0,0.39,3.0,0.0,5.0,1.0,0.0,20.0,10.0,3.0,10.0,7.0,21.0,1.0,20.0,18.0,6.0,0.0,843.0,6.0,57.0,307.0,485.0,183.0,837.0,480.0,34.0,16.0,17.0,603.0,63.0,24.0,0.0,40.0,46.0,12.0,0.0,0.0,0.0,67.0,29.0,33.0,46.8
+Lucas Martínez Quarta,ar ARG,DF,Fiorentina,25,1996,20.0,16.0,1431.0,1.0,0.0,0.0,0.0,8.0,0.0,0.06,0.0,0.06,0.06,0.06,1.2,1.2,0.07,0.07,15.9,4.0,0.0,25.0,0.25,0.06,0.25,0.07,-0.2,-0.2,1007.0,1123.0,89.7,21071.0,7834.0,310.0,333.0,93.1,543.0,581.0,93.5,146.0,186.0,78.5,5.0,73.0,1.0,0.0,76.0,1083.0,39.0,33.0,0.0,17.0,1.0,0.0,0.0,0.0,0.0,6.0,1.0,8.0,14.0,0.88,12.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,25.0,23.0,11.0,2.0,22.0,9.0,13.0,19.0,46.0,0.0,1291.0,127.0,630.0,617.0,62.0,21.0,1291.0,834.0,22.0,16.0,1.0,894.0,12.0,7.0,0.0,30.0,11.0,0.0,0.0,1.0,0.0,121.0,47.0,32.0,59.5
+Adam Marušić,me MNE,DF,Lazio,28,1992,33.0,30.0,2721.0,1.0,0.0,0.0,0.0,6.0,1.0,0.03,0.0,0.03,0.03,0.03,0.2,0.2,0.01,0.01,30.2,3.0,0.0,37.5,0.1,0.13,0.33,0.02,0.8,0.8,1650.0,1887.0,87.4,23922.0,8268.0,937.0,1003.0,93.4,555.0,646.0,85.9,78.0,124.0,62.9,8.0,116.0,10.0,3.0,111.0,1645.0,239.0,33.0,0.0,4.0,29.0,0.0,0.0,0.0,0.0,206.0,3.0,17.0,27.0,0.89,23.0,2.0,0.0,1.0,4.0,0.13,3.0,0.0,0.0,0.0,0.0,30.0,18.0,16.0,12.0,2.0,19.0,8.0,11.0,41.0,71.0,0.0,2120.0,116.0,737.0,1064.0,333.0,15.0,2120.0,1173.0,52.0,27.0,6.0,1385.0,19.0,16.0,1.0,26.0,13.0,0.0,0.0,0.0,0.0,155.0,33.0,22.0,60.0
+Andrea Masiello,it ITA,DF,Genoa,35,1986,7.0,6.0,515.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,5.7,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,276.0,313.0,88.2,5179.0,2062.0,105.0,111.0,94.6,139.0,155.0,89.7,27.0,38.0,71.1,1.0,6.0,0.0,0.0,14.0,302.0,10.0,5.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.0,0.35,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,4.0,1.0,0.0,8.0,4.0,4.0,11.0,20.0,1.0,363.0,57.0,205.0,151.0,11.0,3.0,363.0,204.0,2.0,1.0,1.0,227.0,4.0,3.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,47.0,7.0,7.0,50.0
+Aleš Matějů,cz CZE,DF,Venezia,25,1996,9.0,9.0,727.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.12,0.12,0.0,0.12,0.3,0.3,0.03,0.03,8.1,2.0,0.0,100.0,0.25,0.0,0.0,0.13,-0.3,-0.3,217.0,294.0,73.8,3561.0,1647.0,112.0,136.0,82.4,78.0,101.0,77.2,20.0,38.0,52.6,7.0,11.0,8.0,5.0,20.0,253.0,40.0,2.0,0.0,0.0,21.0,0.0,0.0,0.0,0.0,38.0,1.0,7.0,15.0,1.86,14.0,0.0,0.0,0.0,2.0,0.25,2.0,0.0,0.0,0.0,0.0,16.0,12.0,10.0,5.0,1.0,10.0,6.0,4.0,9.0,15.0,0.0,366.0,38.0,125.0,142.0,100.0,8.0,366.0,164.0,9.0,5.0,0.0,191.0,6.0,4.0,0.0,13.0,8.0,1.0,0.0,0.0,0.0,33.0,11.0,3.0,78.6
+"Borja Mayoral,es ESP,""FW,DF"",Roma,24,1997,5.0,1.0,96.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.29,0.29,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.31,-0.3,-0.3,26.0,39.0,66.7,393.0,41.0,18.0,23.0,78.3,5.0,7.0,71.4,1.0,3.0,33.3,0.0,0.0,0.0,0.0,2.0,38.0,1.0,0.0,0.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,0.93,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,47.0,0.0,2.0,21.0,25.0,4.0,47.0,26.0,0.0,1.0,0.0,40.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0"
+Pasquale Mazzocchi,it ITA,DF,Venezia,26,1995,18.0,15.0,1243.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.03,0.03,13.8,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.3,-0.3,446.0,596.0,74.8,7334.0,2607.0,241.0,272.0,88.6,154.0,211.0,73.0,43.0,80.0,53.8,5.0,26.0,7.0,3.0,33.0,473.0,121.0,7.0,2.0,4.0,46.0,0.0,0.0,0.0,0.0,114.0,2.0,16.0,11.0,0.8,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,18.0,8.0,11.0,4.0,3.0,11.0,8.0,3.0,21.0,31.0,1.0,762.0,49.0,285.0,291.0,198.0,5.0,762.0,426.0,44.0,32.0,1.0,406.0,34.0,13.0,0.0,22.0,6.0,0.0,0.0,0.0,0.0,74.0,11.0,10.0,52.4
+Pasquale Mazzocchi,it ITA,DF,Salernitana,26,1995,15.0,15.0,1269.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,0.14,0.14,0.0,0.14,0.1,0.1,0.01,0.01,14.1,2.0,1.0,40.0,0.14,0.0,0.0,0.03,-0.1,-0.1,416.0,579.0,71.8,7213.0,2846.0,199.0,231.0,86.1,164.0,220.0,74.5,43.0,100.0,43.0,18.0,24.0,17.0,12.0,40.0,452.0,127.0,11.0,0.0,3.0,79.0,17.0,0.0,16.0,0.0,98.0,0.0,12.0,35.0,2.48,21.0,8.0,1.0,4.0,4.0,0.28,3.0,1.0,0.0,0.0,0.0,28.0,19.0,15.0,11.0,2.0,5.0,0.0,5.0,11.0,31.0,0.0,725.0,41.0,217.0,293.0,227.0,10.0,725.0,361.0,43.0,25.0,4.0,392.0,31.0,12.0,0.0,18.0,7.0,1.0,0.0,0.0,0.0,62.0,11.0,9.0,55.0
+Ibrahima Mbaye,sn SEN,DF,Bologna,26,1994,6.0,1.0,108.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,52.0,65.4,381.0,230.0,27.0,33.0,81.8,6.0,15.0,40.0,0.0,2.0,0.0,0.0,2.0,0.0,0.0,2.0,42.0,10.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,6.0,0.0,63.0,11.0,23.0,28.0,12.0,0.0,63.0,24.0,0.0,1.0,0.0,35.0,0.0,1.0,0.0,3.0,1.0,1.0,0.0,1.0,0.0,3.0,3.0,4.0,42.9
+Weston McKennie,us USA,MF,Juventus,22,1998,21.0,15.0,1369.0,3.0,0.0,0.0,0.0,1.0,0.0,0.2,0.0,0.2,0.2,0.2,2.1,2.1,0.14,0.14,15.2,5.0,0.0,21.7,0.33,0.13,0.6,0.09,0.9,0.9,424.0,565.0,75.0,6664.0,1916.0,231.0,281.0,82.2,139.0,182.0,76.4,37.0,53.0,69.8,20.0,39.0,11.0,2.0,51.0,529.0,34.0,2.0,2.0,2.0,12.0,0.0,0.0,0.0,0.0,32.0,2.0,20.0,39.0,2.56,32.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,11.0,11.0,7.0,2.0,17.0,8.0,9.0,23.0,20.0,0.0,737.0,28.0,151.0,356.0,241.0,50.0,737.0,362.0,30.0,15.0,10.0,470.0,22.0,19.0,0.0,19.0,4.0,0.0,0.0,0.0,0.0,84.0,29.0,24.0,54.7
+Gary Medel,cl CHI,DF,Bologna,33,1987,33.0,32.0,2823.0,0.0,1.0,0.0,0.0,10.0,1.0,0.0,0.03,0.03,0.0,0.03,0.3,0.3,0.01,0.01,31.4,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.3,-0.3,1508.0,1696.0,88.9,30848.0,12958.0,492.0,520.0,94.6,756.0,802.0,94.3,245.0,335.0,73.1,3.0,73.0,6.0,0.0,73.0,1559.0,131.0,121.0,2.0,5.0,2.0,0.0,0.0,0.0,0.0,8.0,6.0,10.0,17.0,0.54,14.0,2.0,0.0,0.0,3.0,0.1,2.0,1.0,0.0,0.0,0.0,39.0,23.0,27.0,11.0,1.0,30.0,21.0,9.0,44.0,112.0,0.0,1943.0,379.0,1111.0,819.0,29.0,2.0,1943.0,1108.0,12.0,5.0,2.0,1195.0,8.0,2.0,1.0,34.0,31.0,1.0,0.0,2.0,0.0,228.0,15.0,33.0,31.3
+"Filippo Melegoni,it ITA,""MF,FW"",Genoa,22,1999,25.0,10.0,980.0,1.0,0.0,0.0,0.0,1.0,0.0,0.09,0.0,0.09,0.09,0.09,0.6,0.6,0.06,0.06,10.9,7.0,1.0,53.8,0.64,0.08,0.14,0.05,0.4,0.4,234.0,347.0,67.4,3325.0,1086.0,133.0,168.0,79.2,73.0,104.0,70.2,14.0,37.0,37.8,15.0,14.0,11.0,3.0,27.0,323.0,22.0,6.0,3.0,0.0,34.0,12.0,5.0,5.0,0.0,3.0,2.0,19.0,30.0,2.76,21.0,4.0,0.0,1.0,2.0,0.18,2.0,0.0,0.0,0.0,0.0,20.0,12.0,5.0,8.0,7.0,10.0,1.0,9.0,11.0,8.0,1.0,492.0,12.0,75.0,195.0,229.0,26.0,492.0,279.0,28.0,23.0,4.0,296.0,40.0,12.0,0.0,15.0,20.0,2.0,0.0,0.0,0.0,72.0,5.0,20.0,20.0"
+Arthur Melo,br BRA,MF,Juventus,24,1996,20.0,11.0,962.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,10.7,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.2,-0.2,626.0,700.0,89.4,11432.0,3015.0,247.0,272.0,90.8,291.0,308.0,94.5,71.0,81.0,87.7,6.0,64.0,5.0,0.0,58.0,666.0,33.0,32.0,2.0,4.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,16.0,18.0,1.69,15.0,0.0,0.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,25.0,12.0,10.0,14.0,1.0,11.0,2.0,9.0,7.0,8.0,1.0,784.0,28.0,199.0,487.0,108.0,7.0,784.0,469.0,13.0,12.0,0.0,566.0,8.0,3.0,0.0,20.0,31.0,0.0,0.0,0.0,0.0,92.0,4.0,6.0,40.0
+Alex Meret,it ITA,GK,Napoli,24,1997,7.0,7.0,619.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,176.0,197.0,89.3,4020.0,2763.0,51.0,51.0,100.0,75.0,76.0,98.7,49.0,67.0,73.1,0.0,0.0,0.0,0.0,0.0,149.0,47.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,206.0,183.0,205.0,1.0,0.0,0.0,206.0,124.0,0.0,0.0,0.0,98.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Yıldırım Mert Çetin,tr TUR,MF,Hellas Verona,24,1997,2.0,0.0,46.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,33.0,69.7,390.0,188.0,11.0,15.0,73.3,9.0,12.0,75.0,3.0,3.0,100.0,0.0,2.0,0.0,0.0,0.0,22.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,44.0,3.0,12.0,17.0,15.0,0.0,44.0,16.0,0.0,2.0,0.0,21.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,50.0
+"Dries Mertens,be BEL,""FW,MF"",Napoli,34,1987,30.0,16.0,1384.0,11.0,1.0,1.0,1.0,2.0,0.0,0.72,0.07,0.78,0.65,0.72,4.3,3.6,0.28,0.23,15.4,19.0,4.0,43.2,1.24,0.23,0.53,0.08,6.7,6.4,400.0,548.0,73.0,5833.0,1575.0,247.0,292.0,84.6,102.0,140.0,72.9,30.0,56.0,53.6,33.0,33.0,18.0,1.0,69.0,523.0,21.0,0.0,6.0,9.0,22.0,12.0,3.0,5.0,0.0,2.0,4.0,14.0,69.0,4.48,52.0,3.0,5.0,4.0,11.0,0.71,6.0,0.0,2.0,1.0,1.0,16.0,7.0,1.0,11.0,4.0,8.0,2.0,6.0,9.0,2.0,0.0,682.0,4.0,50.0,299.0,337.0,90.0,681.0,391.0,30.0,16.0,21.0,546.0,23.0,9.0,0.0,26.0,22.0,5.0,2.0,0.0,0.0,51.0,3.0,8.0,27.3"
+"Junior Messias,br BRA,""FW,MF"",Milan,30,1991,26.0,14.0,1428.0,5.0,2.0,0.0,0.0,2.0,0.0,0.32,0.13,0.44,0.32,0.44,3.5,3.5,0.22,0.22,15.9,17.0,0.0,38.6,1.07,0.11,0.29,0.08,1.5,1.5,364.0,544.0,66.9,5269.0,1431.0,217.0,276.0,78.6,113.0,177.0,63.8,20.0,53.0,37.7,21.0,27.0,22.0,4.0,45.0,507.0,35.0,7.0,1.0,4.0,52.0,19.0,15.0,1.0,0.0,9.0,2.0,14.0,53.0,3.35,33.0,2.0,8.0,4.0,3.0,0.19,2.0,0.0,1.0,0.0,0.0,34.0,18.0,11.0,14.0,9.0,11.0,1.0,10.0,17.0,17.0,0.0,795.0,25.0,97.0,292.0,428.0,69.0,795.0,462.0,63.0,47.0,19.0,501.0,46.0,17.0,0.0,21.0,24.0,3.0,0.0,1.0,0.0,88.0,28.0,33.0,45.9"
+Kingsley Michael,ng NGA,MF,Bologna,21,1999,2.0,1.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.8,1.0,0.0,100.0,1.18,0.0,0.0,0.02,0.0,0.0,23.0,26.0,88.5,371.0,77.0,12.0,13.0,92.3,9.0,10.0,90.0,2.0,3.0,66.7,0.0,3.0,0.0,0.0,2.0,25.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,2.0,2.0,0.0,2.0,1.0,1.0,1.0,1.0,1.0,39.0,4.0,17.0,20.0,3.0,0.0,39.0,17.0,0.0,0.0,0.0,21.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,5.0,0.0,3.0,0.0
+"Valentin Mihaila,ro ROU,""MF,FW"",Atalanta,21,2000,5.0,0.0,76.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04,0.04,0.8,1.0,0.0,100.0,1.18,0.0,0.0,0.04,0.0,0.0,17.0,33.0,51.5,229.0,37.0,12.0,21.0,57.1,5.0,6.0,83.3,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,33.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,49.0,0.0,7.0,14.0,28.0,6.0,49.0,24.0,3.0,0.0,3.0,31.0,7.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,4.0,20.0"
+"Mikael,br BRA,""FW,MF"",Salernitana,22,1999,7.0,0.0,87.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.23,0.23,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.07,-0.2,-0.2,10.0,18.0,55.6,124.0,13.0,7.0,11.0,63.6,1.0,3.0,33.3,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.07,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,39.0,1.0,1.0,17.0,21.0,2.0,39.0,19.0,0.0,2.0,0.0,30.0,5.0,1.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,4.0,6.0,7.0,46.2"
+Hilmir Mikaelsson,is ISL,FW,Venezia,17,2004,1.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,18.0,6.0,2.0,2.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,2.0,4.0,0.0,6.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,33.3
+Nikola Milenković,rs SRB,DF,Fiorentina,23,1997,34.0,34.0,2926.0,1.0,0.0,0.0,0.0,10.0,1.0,0.03,0.0,0.03,0.03,0.03,2.1,2.1,0.07,0.07,32.5,9.0,0.0,39.1,0.28,0.04,0.11,0.09,-1.1,-1.1,1877.0,2098.0,89.5,38438.0,11989.0,545.0,607.0,89.8,1076.0,1137.0,94.6,243.0,316.0,76.9,2.0,120.0,3.0,0.0,114.0,2019.0,78.0,73.0,0.0,38.0,2.0,0.0,0.0,0.0,0.0,5.0,1.0,12.0,17.0,0.52,14.0,0.0,3.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,54.0,32.0,31.0,20.0,3.0,30.0,15.0,15.0,39.0,94.0,0.0,2373.0,227.0,1171.0,1137.0,86.0,28.0,2373.0,1412.0,13.0,11.0,1.0,1634.0,11.0,4.0,1.0,48.0,21.0,0.0,0.0,1.0,0.0,172.0,98.0,32.0,75.4
+Sergej Milinković-Savić,rs SRB,MF,Lazio,26,1995,37.0,36.0,3100.0,11.0,10.0,0.0,0.0,6.0,1.0,0.32,0.29,0.61,0.32,0.61,7.3,7.3,0.21,0.21,34.4,31.0,7.0,41.3,0.9,0.15,0.35,0.1,3.7,3.7,1893.0,2367.0,80.0,29489.0,7484.0,1004.0,1170.0,85.8,652.0,768.0,84.9,145.0,233.0,62.2,52.0,168.0,48.0,10.0,215.0,2318.0,40.0,28.0,12.0,15.0,45.0,0.0,0.0,0.0,0.0,12.0,9.0,45.0,120.0,3.48,95.0,0.0,11.0,6.0,16.0,0.46,14.0,0.0,1.0,0.0,1.0,67.0,44.0,20.0,32.0,15.0,50.0,9.0,41.0,34.0,43.0,1.0,2838.0,83.0,448.0,1602.0,818.0,117.0,2838.0,1625.0,67.0,59.0,11.0,2306.0,99.0,48.0,1.0,56.0,45.0,4.0,0.0,0.0,0.0,200.0,100.0,69.0,59.2
+Vanja Milinković-Savić,rs SRB,GK,Torino,24,1997,27.0,27.0,2430.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.0,0.0,27.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.1,-0.1,528.0,1026.0,51.5,18715.0,14556.0,52.0,53.0,98.1,243.0,247.0,98.4,233.0,717.0,32.5,0.0,51.0,3.0,0.0,1.0,747.0,271.0,102.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,7.0,0.26,4.0,3.0,0.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,1065.0,704.0,1051.0,14.0,1.0,1.0,1065.0,655.0,0.0,0.0,0.0,527.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,0.0,32.0,3.0,1.0,75.0
+"Aleksei Miranchuk,ru RUS,""MF,FW"",Atalanta,25,1995,19.0,7.0,772.0,2.0,5.0,0.0,0.0,0.0,0.0,0.23,0.58,0.82,0.23,0.82,1.4,1.4,0.16,0.16,8.6,4.0,0.0,28.6,0.47,0.14,0.5,0.1,0.6,0.6,310.0,384.0,80.7,4480.0,1088.0,183.0,212.0,86.3,94.0,112.0,83.9,20.0,30.0,66.7,22.0,24.0,15.0,2.0,34.0,364.0,18.0,4.0,3.0,2.0,17.0,9.0,7.0,1.0,0.0,3.0,2.0,8.0,41.0,4.77,29.0,3.0,2.0,2.0,8.0,0.93,6.0,0.0,0.0,0.0,0.0,11.0,7.0,3.0,7.0,1.0,3.0,0.0,3.0,1.0,7.0,0.0,486.0,8.0,37.0,195.0,258.0,40.0,486.0,371.0,31.0,21.0,16.0,396.0,25.0,17.0,0.0,14.0,19.0,3.0,0.0,0.0,0.0,36.0,9.0,14.0,39.1"
+Fabio Miretti,it ITA,MF,Juventus,17,2003,6.0,4.0,321.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.05,-0.1,-0.1,117.0,145.0,80.7,2278.0,795.0,49.0,58.0,84.5,50.0,59.0,84.7,16.0,20.0,80.0,5.0,13.0,3.0,0.0,18.0,132.0,12.0,5.0,0.0,1.0,6.0,6.0,2.0,3.0,0.0,1.0,1.0,1.0,11.0,3.09,6.0,5.0,0.0,0.0,1.0,0.28,0.0,1.0,0.0,0.0,0.0,4.0,2.0,2.0,2.0,0.0,3.0,1.0,2.0,2.0,3.0,0.0,176.0,3.0,48.0,95.0,35.0,5.0,176.0,90.0,3.0,8.0,0.0,118.0,6.0,0.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,18.0,3.0,5.0,37.5
+"Henrikh Mkhitaryan,am ARM,""MF,FW"",Roma,32,1989,31.0,29.0,2495.0,5.0,6.0,0.0,0.0,4.0,1.0,0.18,0.22,0.4,0.18,0.4,3.9,3.9,0.14,0.14,27.7,16.0,0.0,29.1,0.58,0.09,0.31,0.07,1.1,1.1,959.0,1168.0,82.1,15698.0,3871.0,484.0,546.0,88.6,355.0,419.0,84.7,85.0,114.0,74.6,41.0,87.0,38.0,6.0,149.0,1128.0,35.0,15.0,8.0,9.0,46.0,7.0,5.0,2.0,0.0,12.0,5.0,28.0,94.0,3.39,69.0,1.0,9.0,7.0,13.0,0.47,10.0,0.0,1.0,1.0,0.0,45.0,29.0,11.0,27.0,7.0,33.0,2.0,31.0,22.0,33.0,0.0,1502.0,37.0,209.0,789.0,528.0,66.0,1502.0,788.0,81.0,61.0,15.0,1004.0,58.0,27.0,1.0,41.0,51.0,5.0,1.0,0.0,0.0,195.0,13.0,15.0,46.4"
+Marco Modolo,it ITA,DF,Venezia,32,1989,6.0,4.0,392.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.05,0.05,4.4,1.0,0.0,100.0,0.23,0.0,0.0,0.22,-0.2,-0.2,130.0,161.0,80.7,2823.0,957.0,26.0,32.0,81.3,83.0,92.0,90.2,19.0,32.0,59.4,0.0,3.0,0.0,0.0,4.0,155.0,5.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.23,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,4.0,2.0,0.0,6.0,6.0,0.0,4.0,26.0,0.0,209.0,79.0,150.0,56.0,3.0,2.0,209.0,89.0,1.0,0.0,0.0,119.0,1.0,0.0,0.0,6.0,3.0,0.0,0.0,0.0,0.0,19.0,9.0,7.0,56.3
+Nahuel Molina,ar ARG,DF,Udinese,23,1998,35.0,31.0,2638.0,7.0,2.0,0.0,0.0,7.0,1.0,0.24,0.07,0.31,0.24,0.31,3.8,3.8,0.13,0.13,29.3,16.0,2.0,36.4,0.55,0.16,0.44,0.09,3.2,3.2,860.0,1228.0,70.0,13692.0,5664.0,478.0,562.0,85.1,280.0,401.0,69.8,77.0,179.0,43.0,39.0,78.0,51.0,27.0,100.0,1089.0,133.0,12.0,3.0,5.0,117.0,17.0,6.0,8.0,0.0,104.0,6.0,33.0,91.0,3.1,70.0,10.0,4.0,3.0,8.0,0.27,6.0,1.0,1.0,0.0,0.0,41.0,24.0,17.0,21.0,3.0,24.0,3.0,21.0,22.0,44.0,2.0,1508.0,54.0,366.0,600.0,562.0,53.0,1508.0,797.0,61.0,42.0,10.0,937.0,36.0,10.0,1.0,31.0,16.0,1.0,0.0,0.0,0.0,158.0,10.0,19.0,34.5
+Cristian Molinaro,it ITA,DF,Venezia,38,1983,8.0,6.0,548.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.16,0.16,0.0,0.16,0.0,0.0,0.0,0.0,6.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,243.0,325.0,74.8,4271.0,2040.0,108.0,124.0,87.1,108.0,135.0,80.0,23.0,56.0,41.1,5.0,18.0,5.0,4.0,34.0,263.0,62.0,6.0,0.0,2.0,16.0,0.0,0.0,0.0,0.0,56.0,0.0,4.0,14.0,2.3,12.0,0.0,0.0,1.0,1.0,0.16,1.0,0.0,0.0,0.0,0.0,12.0,9.0,10.0,2.0,0.0,7.0,2.0,5.0,6.0,20.0,0.0,384.0,27.0,149.0,158.0,78.0,1.0,384.0,173.0,13.0,11.0,1.0,219.0,6.0,3.0,0.0,7.0,8.0,1.0,0.0,0.0,0.0,22.0,4.0,2.0,66.7
+Lorenzo Montipò,it ITA,GK,Hellas Verona,25,1996,34.0,34.0,3060.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,539.0,973.0,55.4,18345.0,14461.0,74.0,74.0,100.0,197.0,203.0,97.0,263.0,682.0,38.6,0.0,22.0,0.0,0.0,0.0,648.0,316.0,85.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,0.0,3.0,0.09,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,16.0,3.0,1062.0,882.0,1058.0,4.0,0.0,0.0,1062.0,554.0,0.0,0.0,0.0,433.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,30.0,11.0,2.0,84.6
+Álvaro Morata,es ESP,FW,Juventus,28,1992,35.0,26.0,2302.0,9.0,4.0,1.0,1.0,5.0,0.0,0.35,0.16,0.51,0.31,0.47,8.8,8.1,0.35,0.32,25.6,24.0,1.0,40.0,0.94,0.13,0.33,0.13,0.2,-0.1,489.0,659.0,74.2,7395.0,1340.0,261.0,332.0,78.6,152.0,194.0,78.4,41.0,56.0,73.2,44.0,28.0,23.0,5.0,54.0,641.0,17.0,3.0,6.0,8.0,20.0,0.0,0.0,0.0,0.0,3.0,1.0,20.0,81.0,3.17,60.0,0.0,5.0,12.0,13.0,0.51,9.0,0.0,2.0,1.0,0.0,18.0,9.0,4.0,9.0,5.0,26.0,1.0,25.0,5.0,24.0,0.0,957.0,27.0,104.0,406.0,459.0,127.0,956.0,573.0,65.0,46.0,24.0,771.0,78.0,43.0,0.0,48.0,77.0,20.0,2.0,1.0,0.0,88.0,36.0,33.0,52.2
+Raúl Moro,es ESP,FW,Lazio,18,2002,11.0,1.0,201.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.45,0.45,0.0,0.45,0.5,0.5,0.2,0.2,2.2,1.0,0.0,50.0,0.45,0.0,0.0,0.23,-0.5,-0.5,75.0,87.0,86.2,983.0,93.0,46.0,54.0,85.2,24.0,26.0,92.3,0.0,1.0,0.0,6.0,4.0,1.0,0.0,5.0,82.0,5.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,10.0,4.5,7.0,1.0,0.0,0.0,1.0,0.45,1.0,0.0,0.0,0.0,0.0,3.0,3.0,0.0,2.0,1.0,2.0,0.0,2.0,0.0,0.0,0.0,110.0,0.0,6.0,56.0,48.0,10.0,110.0,75.0,13.0,6.0,4.0,83.0,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
+Andrei Motoc,ro ROU,DF,Salernitana,19,2002,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.01,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,21.0,26.0,80.8,463.0,213.0,7.0,7.0,100.0,10.0,11.0,90.9,4.0,8.0,50.0,0.0,2.0,0.0,0.0,1.0,23.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,2.0,0.0,2.0,1.0,0.0,36.0,5.0,23.0,12.0,1.0,0.0,36.0,19.0,0.0,0.0,0.0,19.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
+"Lys Mousset,fr FRA,""MF,FW"",Salernitana,25,1996,6.0,2.0,160.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.56,0.56,0.0,0.56,0.1,0.1,0.07,0.07,1.8,1.0,0.0,50.0,0.56,0.0,0.0,0.06,-0.1,-0.1,32.0,45.0,71.1,444.0,105.0,18.0,24.0,75.0,13.0,16.0,81.3,0.0,0.0,0.0,3.0,4.0,3.0,0.0,3.0,37.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,5.0,2.8,5.0,0.0,0.0,0.0,1.0,0.56,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,65.0,0.0,2.0,32.0,32.0,6.0,65.0,37.0,3.0,2.0,1.0,45.0,8.0,2.0,0.0,4.0,2.0,1.0,0.0,1.0,0.0,5.0,0.0,5.0,0.0"
+Samuel Mráz,sk SVK,FW,Spezia,24,1997,2.0,0.0,54.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,8.0,12.0,66.7,118.0,20.0,3.0,6.0,50.0,4.0,4.0,100.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,15.0,0.0,1.0,10.0,4.0,0.0,15.0,4.0,1.0,0.0,0.0,8.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,4.0,2.0,3.0,40.0
+Mert Müldür,tr TUR,DF,Sassuolo,22,1999,31.0,24.0,2046.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.02,0.02,22.7,4.0,0.0,44.4,0.18,0.0,0.0,0.06,-0.5,-0.5,957.0,1203.0,79.6,14816.0,6196.0,536.0,603.0,88.9,338.0,415.0,81.4,64.0,123.0,52.0,13.0,80.0,18.0,4.0,104.0,1028.0,174.0,26.0,4.0,6.0,40.0,0.0,0.0,0.0,0.0,148.0,1.0,23.0,34.0,1.5,29.0,1.0,1.0,0.0,4.0,0.18,4.0,0.0,0.0,0.0,0.0,52.0,35.0,43.0,7.0,2.0,25.0,6.0,19.0,24.0,44.0,1.0,1423.0,77.0,422.0,723.0,288.0,19.0,1423.0,799.0,67.0,49.0,13.0,896.0,28.0,10.0,0.0,24.0,15.0,0.0,0.0,0.0,0.0,117.0,9.0,20.0,31.0
+"Luis Muriel,co COL,""FW,MF"",Atalanta,30,1991,27.0,17.0,1539.0,9.0,8.0,2.0,2.0,1.0,0.0,0.53,0.47,0.99,0.41,0.88,7.1,5.6,0.42,0.33,17.1,16.0,5.0,29.1,0.94,0.13,0.44,0.1,1.9,1.4,541.0,755.0,71.7,8311.0,2422.0,293.0,362.0,80.9,158.0,224.0,70.5,52.0,94.0,55.3,60.0,42.0,32.0,4.0,86.0,654.0,98.0,20.0,4.0,6.0,75.0,55.0,26.0,19.0,0.0,6.0,3.0,14.0,121.0,7.09,67.0,26.0,9.0,6.0,14.0,0.82,10.0,1.0,0.0,0.0,0.0,15.0,4.0,2.0,7.0,6.0,12.0,0.0,12.0,4.0,5.0,0.0,1014.0,6.0,41.0,355.0,630.0,118.0,1012.0,629.0,57.0,45.0,43.0,779.0,63.0,47.0,0.0,14.0,27.0,7.0,0.0,0.0,0.0,65.0,30.0,32.0,48.4"
+Vedat Muriqi,xk KVX,FW,Lazio,27,1994,11.0,1.0,215.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.17,0.17,2.4,2.0,0.0,50.0,0.84,0.0,0.0,0.1,-0.4,-0.4,42.0,64.0,65.6,652.0,64.0,22.0,33.0,66.7,17.0,27.0,63.0,3.0,3.0,100.0,0.0,1.0,3.0,0.0,4.0,62.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,2.1,3.0,0.0,0.0,2.0,1.0,0.42,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,93.0,1.0,13.0,38.0,43.0,9.0,93.0,67.0,1.0,2.0,1.0,84.0,10.0,3.0,0.0,5.0,9.0,1.0,1.0,0.0,0.0,6.0,11.0,14.0,44.0
+Nicola Murru,it ITA,DF,Sampdoria,26,1994,22.0,13.0,983.0,1.0,0.0,0.0,0.0,5.0,0.0,0.09,0.0,0.09,0.09,0.09,0.1,0.1,0.01,0.01,10.9,1.0,0.0,33.3,0.09,0.33,1.0,0.03,0.9,0.9,303.0,460.0,65.9,5333.0,2276.0,141.0,167.0,84.4,120.0,165.0,72.7,34.0,96.0,35.4,6.0,29.0,10.0,5.0,32.0,371.0,84.0,7.0,1.0,1.0,23.0,0.0,0.0,0.0,0.0,77.0,5.0,8.0,13.0,1.19,9.0,3.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,22.0,17.0,10.0,11.0,1.0,17.0,3.0,14.0,7.0,20.0,1.0,576.0,38.0,208.0,258.0,116.0,12.0,576.0,282.0,20.0,11.0,0.0,311.0,15.0,10.0,0.0,22.0,6.0,2.0,0.0,1.0,0.0,56.0,11.0,7.0,61.1
+Juan Musso,ar ARG,GK,Atalanta,27,1994,33.0,33.0,2932.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,715.0,958.0,74.6,20801.0,14921.0,97.0,97.0,100.0,349.0,355.0,98.3,262.0,490.0,53.5,0.0,11.0,0.0,0.0,0.0,688.0,264.0,56.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,2.0,3.0,0.09,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,1.0,1019.0,831.0,1010.0,10.0,0.0,0.0,1019.0,589.0,0.0,0.0,0.0,451.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,1.0,0.0,26.0,6.0,0.0,100.0
+"Joakim Mæhle,dk DEN,""DF,MF"",Atalanta,24,1997,26.0,15.0,1471.0,1.0,1.0,0.0,0.0,2.0,0.0,0.06,0.06,0.12,0.06,0.12,2.0,2.0,0.13,0.13,16.3,4.0,0.0,19.0,0.24,0.05,0.25,0.1,-1.0,-1.0,752.0,930.0,80.9,10287.0,3454.0,475.0,531.0,89.5,227.0,284.0,79.9,22.0,43.0,51.2,16.0,42.0,16.0,2.0,75.0,786.0,140.0,5.0,1.0,3.0,27.0,1.0,0.0,0.0,0.0,134.0,4.0,23.0,48.0,2.94,42.0,0.0,4.0,2.0,3.0,0.18,2.0,0.0,1.0,0.0,0.0,21.0,11.0,6.0,9.0,6.0,18.0,2.0,16.0,14.0,13.0,0.0,1113.0,25.0,240.0,476.0,409.0,33.0,1113.0,618.0,48.0,35.0,6.0,693.0,16.0,19.0,0.0,10.0,25.0,1.0,0.0,1.0,0.0,126.0,11.0,14.0,44.0"
+"Nahitan Nández,uy URU,""MF,DF"",Cagliari,25,1995,21.0,16.0,1523.0,0.0,2.0,0.0,0.0,4.0,0.0,0.0,0.12,0.12,0.0,0.12,0.8,0.8,0.05,0.05,16.9,2.0,0.0,10.0,0.12,0.0,0.0,0.04,-0.8,-0.8,453.0,648.0,69.9,7767.0,2213.0,222.0,276.0,80.4,167.0,226.0,73.9,48.0,84.0,57.1,22.0,44.0,26.0,15.0,64.0,601.0,44.0,7.0,0.0,8.0,65.0,4.0,0.0,3.0,0.0,33.0,3.0,20.0,54.0,3.19,41.0,3.0,1.0,4.0,6.0,0.35,4.0,0.0,0.0,1.0,0.0,39.0,21.0,16.0,15.0,8.0,16.0,1.0,15.0,9.0,15.0,1.0,829.0,17.0,127.0,381.0,338.0,43.0,829.0,510.0,60.0,45.0,22.0,588.0,37.0,26.0,0.0,27.0,33.0,12.0,0.0,0.0,0.0,86.0,44.0,49.0,47.3"
+"Nani,pt POR,""MF,FW"",Venezia,34,1986,10.0,3.0,287.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.31,0.31,0.0,0.31,0.1,0.1,0.02,0.02,3.2,0.0,0.0,0.0,0.0,0.0,0.0,0.02,-0.1,-0.1,91.0,132.0,68.9,1386.0,404.0,45.0,55.0,81.8,30.0,44.0,68.2,9.0,17.0,52.9,6.0,10.0,3.0,1.0,12.0,117.0,14.0,3.0,1.0,0.0,14.0,4.0,1.0,2.0,0.0,6.0,1.0,3.0,10.0,3.14,8.0,2.0,0.0,0.0,1.0,0.31,1.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,2.0,0.0,1.0,169.0,0.0,18.0,73.0,79.0,6.0,169.0,103.0,6.0,8.0,1.0,119.0,9.0,6.0,0.0,2.0,8.0,0.0,0.0,0.0,0.0,20.0,5.0,3.0,62.5"
+Matija Nastasić,rs SRB,DF,Fiorentina,28,1993,5.0,2.0,219.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.4,1.0,0.0,100.0,0.41,0.0,0.0,0.11,-0.1,-0.1,143.0,154.0,92.9,3000.0,852.0,32.0,33.0,97.0,91.0,95.0,95.8,19.0,24.0,79.2,1.0,5.0,0.0,0.0,8.0,152.0,2.0,2.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.41,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,5.0,11.0,0.0,175.0,24.0,93.0,79.0,4.0,1.0,175.0,113.0,0.0,1.0,0.0,127.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,13.0,3.0,1.0,75.0
+Ilija Nestorovski,mk MKD,FW,Udinese,31,1990,7.0,1.0,188.0,1.0,0.0,0.0,0.0,1.0,0.0,0.48,0.0,0.48,0.48,0.48,0.8,0.8,0.38,0.38,2.1,1.0,0.0,20.0,0.48,0.2,1.0,0.16,0.2,0.2,44.0,62.0,71.0,668.0,238.0,25.0,31.0,80.6,16.0,22.0,72.7,1.0,1.0,100.0,4.0,6.0,4.0,1.0,10.0,59.0,3.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,4.0,1.91,4.0,0.0,0.0,0.0,1.0,0.48,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,86.0,4.0,9.0,50.0,27.0,8.0,86.0,48.0,5.0,2.0,0.0,70.0,5.0,0.0,0.0,3.0,7.0,2.0,0.0,0.0,0.0,4.0,3.0,8.0,27.3
+Aurélien Nguiamba,fr FRA,MF,Spezia,22,1999,3.0,0.0,51.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27.0,34.0,79.4,418.0,181.0,13.0,13.0,100.0,12.0,17.0,70.6,1.0,2.0,50.0,0.0,4.0,0.0,0.0,5.0,34.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.19,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,40.0,2.0,9.0,26.0,5.0,0.0,40.0,19.0,1.0,0.0,0.0,21.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,3.0,0.0
+Dimitris Nikolaou,gr GRE,DF,Spezia,22,1998,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,-0.1,-0.1,1359.0,1674.0,81.2,26264.0,10730.0,498.0,553.0,90.1,662.0,739.0,89.6,173.0,330.0,52.4,2.0,93.0,2.0,1.0,92.0,1564.0,103.0,66.0,2.0,19.0,7.0,0.0,0.0,0.0,0.0,13.0,7.0,15.0,15.0,0.42,13.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,26.0,29.0,7.0,3.0,48.0,24.0,24.0,49.0,132.0,1.0,2009.0,301.0,1137.0,831.0,58.0,6.0,2009.0,1155.0,33.0,18.0,1.0,1204.0,28.0,10.0,0.0,31.0,20.0,0.0,0.0,1.0,1.0,247.0,39.0,50.0,43.8
+Jean-Pierre Nsame,cm CMR,FW,Venezia,28,1993,11.0,1.0,245.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.37,0.37,0.0,0.37,0.7,0.7,0.26,0.26,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.14,-0.7,-0.7,40.0,67.0,59.7,501.0,169.0,25.0,38.0,65.8,9.0,16.0,56.3,2.0,4.0,50.0,5.0,3.0,2.0,0.0,8.0,64.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,2.58,6.0,0.0,0.0,1.0,1.0,0.37,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,87.0,1.0,2.0,35.0,50.0,16.0,87.0,43.0,4.0,0.0,2.0,75.0,8.0,5.0,0.0,6.0,3.0,3.0,1.0,0.0,0.0,6.0,16.0,15.0,51.6
+Bram Nuytinck,nl NED,DF,Udinese,31,1990,27.0,23.0,2033.0,1.0,0.0,0.0,0.0,2.0,0.0,0.04,0.0,0.04,0.04,0.04,1.2,1.2,0.05,0.05,22.6,3.0,0.0,30.0,0.13,0.1,0.33,0.12,-0.2,-0.2,781.0,937.0,83.4,15612.0,5968.0,230.0,253.0,90.9,455.0,506.0,89.9,90.0,160.0,56.3,3.0,23.0,2.0,1.0,23.0,863.0,69.0,42.0,1.0,1.0,6.0,0.0,0.0,0.0,0.0,18.0,5.0,3.0,10.0,0.44,7.0,0.0,3.0,0.0,2.0,0.09,1.0,0.0,1.0,0.0,0.0,38.0,24.0,24.0,13.0,1.0,42.0,31.0,11.0,22.0,101.0,0.0,1175.0,243.0,748.0,395.0,37.0,19.0,1175.0,610.0,4.0,5.0,2.0,666.0,2.0,2.0,0.0,16.0,4.0,0.0,0.0,0.0,0.0,101.0,33.0,29.0,53.2
+Simeon Nwankwo,ng NGA,FW,Salernitana,29,1992,19.0,10.0,842.0,1.0,1.0,0.0,0.0,0.0,0.0,0.11,0.11,0.21,0.11,0.21,3.2,3.2,0.34,0.34,9.4,6.0,0.0,30.0,0.64,0.05,0.17,0.16,-2.2,-2.2,133.0,185.0,71.9,1692.0,208.0,76.0,97.0,78.4,31.0,42.0,73.8,7.0,10.0,70.0,8.0,9.0,3.0,0.0,10.0,176.0,9.0,0.0,1.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,18.0,1.92,12.0,0.0,3.0,2.0,1.0,0.11,0.0,0.0,0.0,0.0,0.0,5.0,5.0,0.0,4.0,1.0,8.0,3.0,5.0,3.0,10.0,0.0,279.0,14.0,27.0,128.0,127.0,42.0,279.0,167.0,3.0,4.0,2.0,223.0,30.0,23.0,0.0,12.0,14.0,9.0,0.0,0.0,0.0,15.0,19.0,37.0,33.9
+M'Bala Nzola,ao ANG,FW,Spezia,24,1996,21.0,10.0,1068.0,2.0,1.0,0.0,0.0,2.0,0.0,0.17,0.08,0.25,0.17,0.25,2.4,2.4,0.2,0.2,11.9,13.0,0.0,59.1,1.1,0.09,0.15,0.11,-0.4,-0.4,192.0,244.0,78.7,2372.0,264.0,108.0,127.0,85.0,37.0,54.0,68.5,12.0,15.0,80.0,10.0,7.0,3.0,0.0,13.0,225.0,19.0,0.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,2.0,0.0,4.0,22.0,1.85,16.0,1.0,2.0,0.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,8.0,0.0,8.0,0.0,13.0,0.0,392.0,14.0,29.0,154.0,217.0,52.0,392.0,230.0,16.0,11.0,12.0,283.0,53.0,21.0,0.0,30.0,7.0,14.0,0.0,1.0,0.0,24.0,28.0,48.0,36.8
+"Adam Obert,sk SVK,""DF,MF"",Cagliari,18,2002,6.0,3.0,274.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,69.0,106.0,65.1,1337.0,420.0,27.0,33.0,81.8,31.0,37.0,83.8,11.0,25.0,44.0,0.0,4.0,1.0,1.0,5.0,97.0,7.0,2.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,6.0,2.0,0.0,6.0,4.0,2.0,4.0,11.0,0.0,143.0,19.0,84.0,44.0,18.0,0.0,143.0,79.0,0.0,1.0,0.0,77.0,5.0,4.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,13.0,3.0,7.0,30.0"
+"Joel Obi,ng NGA,""MF,DF"",Salernitana,30,1991,21.0,12.0,1143.0,0.0,1.0,0.0,0.0,4.0,0.0,0.0,0.08,0.08,0.0,0.08,1.3,1.3,0.1,0.1,12.7,2.0,0.0,20.0,0.16,0.0,0.0,0.13,-1.3,-1.3,275.0,368.0,74.7,3690.0,1013.0,172.0,196.0,87.8,66.0,90.0,73.3,18.0,34.0,52.9,14.0,12.0,3.0,3.0,20.0,349.0,19.0,3.0,0.0,1.0,25.0,7.0,3.0,4.0,0.0,8.0,0.0,10.0,21.0,1.65,15.0,5.0,1.0,0.0,2.0,0.16,2.0,0.0,0.0,0.0,0.0,23.0,14.0,5.0,14.0,4.0,17.0,6.0,11.0,10.0,7.0,0.0,493.0,17.0,120.0,238.0,143.0,26.0,493.0,264.0,10.0,12.0,0.0,289.0,20.0,16.0,0.0,32.0,21.0,0.0,0.0,0.0,0.0,56.0,16.0,16.0,50.0"
+Brian Oddei,it ITA,FW,Sassuolo,18,2002,2.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,1.66,1.66,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.15,-0.1,-0.1,5.0,5.0,100.0,45.0,1.0,5.0,5.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,2.0,1.0,4.0,1.0,6.0,5.0,1.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Álvaro Odriozola,es ESP,DF,Fiorentina,25,1995,25.0,18.0,1733.0,1.0,2.0,0.0,0.0,4.0,1.0,0.05,0.1,0.16,0.05,0.16,1.3,1.3,0.07,0.07,19.3,2.0,0.0,50.0,0.1,0.25,0.5,0.32,-0.3,-0.3,885.0,1030.0,85.9,14157.0,4062.0,438.0,475.0,92.2,376.0,425.0,88.5,56.0,75.0,74.7,26.0,36.0,16.0,9.0,55.0,877.0,152.0,11.0,0.0,1.0,52.0,2.0,0.0,1.0,0.0,139.0,1.0,28.0,54.0,2.81,45.0,4.0,0.0,1.0,4.0,0.21,3.0,0.0,0.0,0.0,0.0,25.0,15.0,12.0,6.0,7.0,17.0,6.0,11.0,8.0,25.0,2.0,1192.0,56.0,349.0,462.0,386.0,55.0,1192.0,693.0,75.0,41.0,17.0,773.0,25.0,12.0,0.0,15.0,12.0,1.0,1.0,1.0,0.0,88.0,1.0,18.0,5.3
+Stefano Okaka,it ITA,FW,Udinese,31,1989,2.0,0.0,22.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,4.09,4.09,0.0,4.09,0.0,0.0,0.14,0.14,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,4.0,5.0,80.0,49.0,12.0,3.0,4.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,8.57,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,2.0,0.0,1.0,0.0,9.0,1.0,1.0,5.0,4.0,2.0,9.0,4.0,0.0,1.0,0.0,5.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+"David Okereke,ng NGA,""FW,MF"",Venezia,23,1997,32.0,24.0,2053.0,7.0,0.0,0.0,0.0,5.0,1.0,0.31,0.0,0.31,0.31,0.31,5.0,5.0,0.22,0.22,22.8,19.0,0.0,47.5,0.83,0.18,0.37,0.12,2.0,2.0,319.0,463.0,68.9,4844.0,1016.0,180.0,231.0,77.9,96.0,136.0,70.6,27.0,43.0,62.8,13.0,17.0,18.0,4.0,43.0,449.0,9.0,0.0,1.0,2.0,27.0,0.0,0.0,0.0,0.0,4.0,5.0,13.0,43.0,1.88,29.0,0.0,2.0,4.0,7.0,0.31,4.0,0.0,0.0,2.0,0.0,16.0,10.0,4.0,9.0,3.0,19.0,3.0,16.0,10.0,20.0,0.0,693.0,27.0,84.0,280.0,345.0,82.0,693.0,419.0,60.0,31.0,25.0,495.0,53.0,29.0,0.0,30.0,32.0,9.0,1.0,0.0,0.0,73.0,33.0,59.0,35.9"
+Christian Oliva,uy URU,MF,Cagliari,25,1996,4.0,0.0,48.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,33.0,84.8,451.0,114.0,11.0,12.0,91.7,17.0,18.0,94.4,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,30.0,2.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,2.0,10.0,19.0,5.0,0.0,33.0,22.0,2.0,1.0,0.0,20.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,1.0,0.0
+Sérgio Oliveira,pt POR,MF,Roma,29,1992,14.0,13.0,892.0,2.0,0.0,1.0,1.0,5.0,0.0,0.2,0.0,0.2,0.1,0.1,1.3,0.5,0.13,0.05,9.9,5.0,2.0,45.5,0.5,0.09,0.2,0.05,0.7,0.5,394.0,493.0,79.9,6790.0,2095.0,184.0,210.0,87.6,148.0,175.0,84.6,46.0,79.0,58.2,15.0,33.0,7.0,0.0,41.0,442.0,49.0,30.0,3.0,6.0,32.0,19.0,7.0,10.0,0.0,0.0,2.0,5.0,32.0,3.23,16.0,7.0,3.0,3.0,4.0,0.4,0.0,0.0,2.0,1.0,0.0,27.0,14.0,11.0,14.0,2.0,13.0,0.0,13.0,10.0,7.0,0.0,600.0,14.0,126.0,349.0,133.0,11.0,599.0,285.0,10.0,8.0,1.0,393.0,9.0,10.0,0.0,12.0,25.0,0.0,0.0,0.0,0.0,64.0,8.0,6.0,57.1
+"Riccardo Orsolini,it ITA,""FW,MF"",Bologna,24,1997,29.0,21.0,1785.0,6.0,3.0,2.0,2.0,2.0,0.0,0.3,0.15,0.45,0.2,0.35,6.4,4.8,0.32,0.24,19.8,16.0,5.0,31.4,0.81,0.08,0.25,0.09,-0.4,-0.8,481.0,744.0,64.7,7878.0,2450.0,262.0,333.0,78.7,133.0,206.0,64.6,58.0,123.0,47.2,21.0,40.0,20.0,10.0,60.0,659.0,83.0,21.0,5.0,18.0,90.0,42.0,30.0,1.0,0.0,13.0,2.0,23.0,57.0,2.87,26.0,15.0,5.0,7.0,6.0,0.3,3.0,2.0,1.0,0.0,0.0,21.0,13.0,9.0,11.0,1.0,9.0,4.0,5.0,5.0,14.0,0.0,968.0,17.0,117.0,450.0,409.0,55.0,966.0,549.0,38.0,16.0,13.0,719.0,51.0,29.0,0.0,20.0,44.0,13.0,0.0,0.0,0.0,73.0,26.0,35.0,42.6"
+Victor Osimhen,ng NGA,FW,Napoli,22,1998,27.0,23.0,1983.0,14.0,2.0,0.0,0.0,5.0,1.0,0.64,0.09,0.73,0.64,0.73,10.5,10.5,0.48,0.48,22.0,29.0,0.0,31.9,1.32,0.15,0.48,0.12,3.5,3.5,232.0,338.0,68.6,3347.0,423.0,137.0,169.0,81.1,61.0,92.0,66.3,19.0,30.0,63.3,17.0,9.0,2.0,0.0,18.0,331.0,5.0,0.0,0.0,4.0,9.0,0.0,0.0,0.0,0.0,2.0,2.0,17.0,61.0,2.77,39.0,0.0,4.0,8.0,8.0,0.36,4.0,0.0,0.0,3.0,1.0,10.0,5.0,1.0,2.0,7.0,16.0,3.0,13.0,3.0,17.0,0.0,617.0,22.0,34.0,220.0,372.0,142.0,617.0,380.0,49.0,36.0,24.0,502.0,76.0,32.0,0.0,37.0,38.0,19.0,4.0,0.0,0.0,37.0,49.0,55.0,47.1
+David Ospina,co COL,GK,Napoli,32,1988,31.0,31.0,2790.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,816.0,979.0,83.4,19414.0,13796.0,198.0,200.0,99.0,401.0,407.0,98.5,211.0,361.0,58.4,0.0,11.0,0.0,0.0,0.0,785.0,192.0,57.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,6.0,0.19,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,1.0,1035.0,875.0,1022.0,14.0,0.0,0.0,1035.0,671.0,0.0,0.0,0.0,560.0,0.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,48.0,9.0,2.0,81.8
+"Adam Ounas,dz ALG,""MF,FW"",Napoli,24,1996,15.0,1.0,326.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.19,0.19,3.6,2.0,0.0,15.4,0.55,0.0,0.0,0.05,-0.7,-0.7,158.0,204.0,77.5,2975.0,828.0,81.0,95.0,85.3,49.0,63.0,77.8,25.0,33.0,75.8,12.0,12.0,11.0,1.0,31.0,191.0,13.0,3.0,2.0,5.0,16.0,9.0,5.0,0.0,0.0,1.0,0.0,4.0,29.0,8.06,18.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,0.0,3.0,3.0,3.0,0.0,3.0,2.0,3.0,0.0,268.0,4.0,28.0,99.0,151.0,20.0,268.0,184.0,28.0,14.0,12.0,212.0,19.0,11.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,23.0,1.0,3.0,25.0"
+Daniele Padelli,it ITA,GK,Udinese,35,1985,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,78.0,111.0,70.3,1695.0,1200.0,31.0,31.0,100.0,29.0,29.0,100.0,15.0,48.0,31.3,0.0,0.0,0.0,0.0,0.0,87.0,24.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,122.0,114.0,122.0,0.0,0.0,0.0,122.0,65.0,0.0,0.0,0.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,1.0,0.0,100.0
+Simone Pafundi,it ITA,FW,Udinese,15,2006,1.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.26,0.26,0.3,1.0,0.0,100.0,3.91,0.0,0.0,0.07,-0.1,-0.1,10.0,12.0,83.3,135.0,44.0,6.0,6.0,100.0,2.0,3.0,66.7,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.91,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,2.0,9.0,2.0,0.0,13.0,11.0,2.0,0.0,0.0,11.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Martin Palumbo,no NOR,FW,Juventus,19,2002,1.0,0.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,21.0,11.0,0.0,1.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,2.0,1.0,0.0,5.0,2.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Goran Pandev,mk MKD,""FW,MF"",Genoa,38,1983,20.0,7.0,843.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.11,0.11,0.0,0.11,0.5,0.5,0.06,0.06,9.4,3.0,0.0,50.0,0.32,0.0,0.0,0.09,-0.5,-0.5,167.0,236.0,70.8,2297.0,660.0,98.0,130.0,75.4,49.0,63.0,77.8,6.0,10.0,60.0,10.0,13.0,6.0,1.0,25.0,224.0,10.0,0.0,4.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,20.0,2.14,14.0,0.0,1.0,4.0,2.0,0.21,2.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,1.0,3.0,1.0,2.0,2.0,0.0,0.0,312.0,1.0,25.0,147.0,142.0,27.0,312.0,234.0,9.0,10.0,4.0,272.0,26.0,25.0,0.0,5.0,37.0,6.0,0.0,0.0,0.0,41.0,6.0,19.0,24.0"
+Ivor Pandur,hr CRO,GK,Hellas Verona,21,2000,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,52.0,68.0,76.5,1559.0,1163.0,6.0,6.0,100.0,25.0,28.0,89.3,20.0,33.0,60.6,0.0,0.0,0.0,0.0,0.0,50.0,18.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,77.0,71.0,77.0,0.0,0.0,0.0,77.0,45.0,0.0,0.0,0.0,34.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Fabiano Parisi,it ITA,DF,Empoli,20,2000,25.0,16.0,1477.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.06,0.06,0.0,0.06,0.7,0.7,0.04,0.04,16.4,4.0,0.0,25.0,0.24,0.0,0.0,0.04,-0.7,-0.7,585.0,777.0,75.3,9644.0,4062.0,292.0,323.0,90.4,234.0,311.0,75.2,46.0,99.0,46.5,9.0,58.0,14.0,1.0,74.0,598.0,174.0,14.0,1.0,4.0,43.0,1.0,0.0,0.0,0.0,159.0,5.0,12.0,34.0,2.07,25.0,2.0,1.0,0.0,5.0,0.3,3.0,0.0,0.0,0.0,0.0,35.0,19.0,25.0,5.0,5.0,30.0,10.0,20.0,22.0,42.0,0.0,1040.0,79.0,381.0,424.0,263.0,17.0,1040.0,589.0,58.0,41.0,6.0,519.0,42.0,18.0,0.0,22.0,29.0,0.0,0.0,1.0,0.0,138.0,7.0,11.0,38.9
+"Mario Pašalić,hr CRO,""MF,FW"",Atalanta,26,1995,37.0,24.0,2002.0,13.0,6.0,0.0,0.0,3.0,0.0,0.58,0.27,0.85,0.58,0.85,8.7,8.7,0.39,0.39,22.2,20.0,0.0,40.8,0.9,0.27,0.65,0.18,4.3,4.3,801.0,997.0,80.3,12561.0,3133.0,407.0,484.0,84.1,302.0,346.0,87.3,57.0,74.0,77.0,39.0,64.0,25.0,0.0,105.0,972.0,21.0,9.0,1.0,6.0,4.0,0.0,0.0,0.0,0.0,6.0,4.0,24.0,70.0,3.15,60.0,0.0,6.0,0.0,13.0,0.58,13.0,0.0,0.0,0.0,0.0,27.0,12.0,8.0,13.0,6.0,27.0,6.0,21.0,20.0,14.0,0.0,1257.0,24.0,163.0,657.0,444.0,109.0,1257.0,712.0,38.0,32.0,18.0,922.0,59.0,22.0,0.0,30.0,14.0,6.0,0.0,0.0,0.0,107.0,50.0,47.0,51.5"
+Patric,es ESP,DF,Lazio,28,1993,24.0,19.0,1649.0,1.0,1.0,0.0,0.0,7.0,1.0,0.05,0.05,0.11,0.05,0.11,0.9,0.9,0.05,0.05,18.3,2.0,0.0,33.3,0.11,0.17,0.5,0.14,0.1,0.1,1353.0,1452.0,93.2,26174.0,8178.0,500.0,529.0,94.5,616.0,641.0,96.1,198.0,238.0,83.2,6.0,45.0,1.0,0.0,52.0,1402.0,50.0,37.0,1.0,14.0,1.0,0.0,0.0,0.0,0.0,11.0,0.0,1.0,13.0,0.71,12.0,0.0,1.0,0.0,2.0,0.11,1.0,0.0,1.0,0.0,0.0,21.0,15.0,17.0,4.0,0.0,22.0,11.0,11.0,12.0,44.0,2.0,1569.0,179.0,751.0,795.0,30.0,9.0,1569.0,983.0,5.0,3.0,1.0,1233.0,7.0,1.0,1.0,24.0,7.0,0.0,0.0,0.0,1.0,97.0,17.0,32.0,34.7
+Rui Patrício,pt POR,GK,Roma,33,1988,38.0,38.0,3420.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,831.0,1081.0,76.9,23327.0,16301.0,156.0,157.0,99.4,379.0,384.0,98.7,293.0,531.0,55.2,0.0,5.0,0.0,0.0,2.0,744.0,332.0,110.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,1.0,3.0,0.08,1.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,10.0,3.0,1138.0,1008.0,1136.0,2.0,0.0,0.0,1138.0,606.0,0.0,0.0,0.0,493.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,39.0,3.0,0.0,100.0
+Leonardo Pavoletti,it ITA,FW,Cagliari,32,1988,33.0,14.0,1518.0,5.0,1.0,0.0,0.0,9.0,0.0,0.3,0.06,0.36,0.3,0.36,6.6,6.6,0.39,0.39,16.9,11.0,0.0,30.6,0.65,0.14,0.45,0.18,-1.6,-1.6,313.0,487.0,64.3,3952.0,668.0,206.0,293.0,70.3,70.0,123.0,56.9,12.0,18.0,66.7,16.0,20.0,5.0,0.0,25.0,481.0,5.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,7.0,27.0,1.6,21.0,0.0,2.0,2.0,3.0,0.18,2.0,0.0,0.0,1.0,0.0,10.0,6.0,2.0,5.0,3.0,9.0,5.0,4.0,2.0,12.0,0.0,667.0,19.0,64.0,320.0,287.0,89.0,667.0,301.0,2.0,5.0,2.0,516.0,39.0,13.0,0.0,45.0,28.0,4.0,1.0,0.0,0.0,50.0,126.0,121.0,51.0
+Pedro,es ESP,FW,Lazio,34,1987,32.0,25.0,2033.0,9.0,4.0,0.0,0.0,5.0,0.0,0.4,0.18,0.58,0.4,0.58,4.7,4.7,0.21,0.21,22.6,20.0,0.0,55.6,0.89,0.25,0.45,0.13,4.3,4.3,785.0,936.0,83.9,11242.0,2582.0,469.0,523.0,89.7,219.0,262.0,83.6,51.0,78.0,65.4,29.0,53.0,31.0,3.0,102.0,907.0,27.0,3.0,3.0,9.0,31.0,1.0,0.0,0.0,0.0,13.0,2.0,14.0,64.0,2.83,54.0,0.0,3.0,2.0,9.0,0.4,8.0,0.0,0.0,0.0,0.0,36.0,23.0,8.0,19.0,9.0,18.0,2.0,16.0,6.0,8.0,0.0,1166.0,13.0,149.0,583.0,457.0,67.0,1166.0,803.0,84.0,50.0,16.0,939.0,55.0,26.0,0.0,31.0,39.0,6.0,1.0,0.0,0.0,117.0,3.0,12.0,20.0
+João Pedro,it ITA,FW,Cagliari,29,1992,37.0,37.0,3323.0,13.0,4.0,3.0,4.0,9.0,0.0,0.35,0.11,0.46,0.27,0.38,12.3,9.3,0.33,0.25,36.9,34.0,2.0,39.1,0.92,0.11,0.29,0.11,0.7,0.7,507.0,714.0,71.0,8729.0,1590.0,229.0,298.0,76.8,215.0,276.0,77.9,46.0,75.0,61.3,28.0,32.0,22.0,2.0,66.0,630.0,82.0,4.0,2.0,17.0,14.0,0.0,0.0,0.0,0.0,5.0,2.0,16.0,90.0,2.44,59.0,0.0,16.0,9.0,7.0,0.19,5.0,0.0,0.0,1.0,0.0,15.0,12.0,2.0,8.0,5.0,23.0,5.0,18.0,8.0,18.0,1.0,1093.0,22.0,83.0,507.0,512.0,148.0,1089.0,653.0,38.0,27.0,20.0,785.0,108.0,36.0,0.0,68.0,86.0,31.0,1.0,0.0,0.0,112.0,63.0,113.0,35.8
+Gianluca Pegolo,it ITA,GK,Sassuolo,40,1981,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28.0,34.0,82.4,631.0,426.0,6.0,6.0,100.0,13.0,14.0,92.9,8.0,13.0,61.5,0.0,0.0,0.0,0.0,0.0,23.0,11.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,36.0,28.0,35.0,1.0,0.0,0.0,36.0,19.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Pietro Pellegri,it ITA,FW,Torino,20,2001,9.0,1.0,216.0,1.0,0.0,0.0,0.0,1.0,0.0,0.42,0.0,0.42,0.42,0.42,0.4,0.4,0.16,0.16,2.4,2.0,0.0,40.0,0.83,0.2,0.5,0.08,0.6,0.6,26.0,42.0,61.9,342.0,38.0,19.0,24.0,79.2,6.0,9.0,66.7,1.0,2.0,50.0,1.0,1.0,0.0,0.0,1.0,38.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,0.83,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,81.0,6.0,8.0,35.0,39.0,8.0,81.0,50.0,3.0,0.0,1.0,62.0,20.0,8.0,0.0,10.0,6.0,4.0,0.0,0.0,0.0,4.0,9.0,17.0,34.6
+Pietro Pellegri,it ITA,FW,Milan,20,2001,6.0,1.0,131.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.1,0.1,1.5,1.0,0.0,33.3,0.69,0.0,0.0,0.05,-0.2,-0.2,12.0,19.0,63.2,108.0,11.0,9.0,14.0,64.3,2.0,3.0,66.7,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,17.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,3.41,4.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,37.0,1.0,3.0,11.0,23.0,7.0,37.0,18.0,3.0,1.0,1.0,19.0,2.0,4.0,0.0,7.0,2.0,2.0,0.0,0.0,0.0,4.0,3.0,1.0,75.0
+Lorenzo Pellegrini,it ITA,MF,Roma,25,1996,28.0,27.0,2289.0,9.0,3.0,2.0,3.0,8.0,1.0,0.35,0.12,0.47,0.28,0.39,8.9,6.4,0.35,0.25,25.4,28.0,11.0,31.5,1.1,0.08,0.25,0.07,0.1,0.6,776.0,1106.0,70.2,13848.0,4796.0,351.0,417.0,84.2,279.0,368.0,75.8,114.0,230.0,49.6,68.0,84.0,35.0,5.0,136.0,915.0,184.0,65.0,6.0,12.0,172.0,100.0,44.0,51.0,0.0,7.0,7.0,32.0,139.0,5.47,62.0,42.0,14.0,7.0,11.0,0.43,6.0,2.0,3.0,0.0,0.0,35.0,14.0,10.0,17.0,8.0,29.0,1.0,28.0,27.0,20.0,0.0,1465.0,23.0,140.0,667.0,681.0,117.0,1462.0,784.0,76.0,51.0,24.0,976.0,64.0,24.0,1.0,46.0,49.0,9.0,0.0,0.0,0.0,126.0,17.0,26.0,39.5
+Luca Pellegrini,it ITA,DF,Juventus,22,1999,18.0,15.0,1107.0,0.0,1.0,0.0,0.0,6.0,0.0,0.0,0.08,0.08,0.0,0.08,0.3,0.3,0.02,0.02,12.3,1.0,0.0,16.7,0.08,0.0,0.0,0.04,-0.3,-0.3,521.0,682.0,76.4,9128.0,3271.0,237.0,269.0,88.1,222.0,275.0,80.7,55.0,109.0,50.5,13.0,35.0,14.0,6.0,35.0,564.0,118.0,10.0,1.0,5.0,54.0,15.0,8.0,6.0,0.0,93.0,0.0,14.0,30.0,2.44,20.0,5.0,0.0,3.0,4.0,0.32,4.0,0.0,0.0,0.0,0.0,23.0,10.0,13.0,5.0,5.0,9.0,1.0,8.0,5.0,23.0,0.0,800.0,28.0,260.0,333.0,212.0,9.0,800.0,409.0,21.0,25.0,3.0,492.0,15.0,5.0,0.0,23.0,21.0,0.0,0.0,0.0,0.0,73.0,9.0,8.0,52.9
+Federico Peluso,it ITA,DF,Sassuolo,37,1984,2.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,100.0,33.0,23.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,4.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Gastón Pereiro,uy URU,""FW,MF"",Cagliari,26,1995,29.0,9.0,975.0,4.0,2.0,0.0,0.0,1.0,0.0,0.37,0.18,0.55,0.37,0.55,1.3,1.3,0.12,0.12,10.8,9.0,0.0,42.9,0.83,0.19,0.44,0.06,2.7,2.7,237.0,372.0,63.7,3888.0,1147.0,118.0,166.0,71.1,80.0,117.0,68.4,27.0,55.0,49.1,20.0,24.0,12.0,5.0,42.0,331.0,40.0,12.0,1.0,2.0,40.0,16.0,5.0,4.0,1.0,8.0,1.0,12.0,42.0,3.87,25.0,9.0,3.0,1.0,3.0,0.28,2.0,1.0,0.0,0.0,0.0,13.0,5.0,7.0,4.0,2.0,12.0,1.0,11.0,1.0,8.0,0.0,474.0,9.0,53.0,197.0,226.0,30.0,474.0,277.0,32.0,23.0,7.0,331.0,14.0,17.0,0.0,16.0,4.0,2.0,0.0,0.0,0.0,36.0,23.0,30.0,43.4"
+Dor Peretz,il ISR,MF,Venezia,26,1995,18.0,4.0,585.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.15,0.15,0.0,0.15,0.8,0.8,0.13,0.13,6.5,0.0,0.0,0.0,0.0,0.0,0.0,0.17,-0.8,-0.8,175.0,234.0,74.8,2632.0,758.0,94.0,118.0,79.7,55.0,64.0,85.9,13.0,24.0,54.2,4.0,20.0,1.0,0.0,18.0,222.0,10.0,7.0,0.0,1.0,2.0,0.0,0.0,0.0,0.0,3.0,2.0,11.0,8.0,1.24,5.0,0.0,0.0,2.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,27.0,18.0,8.0,16.0,3.0,8.0,4.0,4.0,8.0,11.0,0.0,315.0,23.0,90.0,186.0,40.0,4.0,315.0,137.0,3.0,3.0,1.0,192.0,9.0,7.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,25.0,8.0,9.0,47.1
+"Roberto Pereyra,ar ARG,""MF,FW"",Udinese,30,1991,24.0,22.0,1794.0,3.0,5.0,1.0,2.0,10.0,1.0,0.15,0.25,0.4,0.1,0.35,4.7,3.1,0.24,0.16,19.9,6.0,1.0,21.4,0.3,0.07,0.33,0.11,-1.7,-1.1,718.0,842.0,85.3,10354.0,2860.0,413.0,456.0,90.6,225.0,262.0,85.9,42.0,60.0,70.0,25.0,61.0,28.0,2.0,126.0,794.0,45.0,26.0,1.0,2.0,23.0,6.0,1.0,1.0,0.0,7.0,3.0,11.0,58.0,2.91,49.0,0.0,4.0,1.0,8.0,0.4,5.0,0.0,1.0,0.0,0.0,18.0,12.0,7.0,6.0,5.0,26.0,5.0,21.0,12.0,11.0,0.0,1053.0,18.0,138.0,529.0,402.0,85.0,1051.0,651.0,73.0,43.0,18.0,768.0,54.0,27.0,1.0,33.0,34.0,1.0,0.0,0.0,0.0,116.0,1.0,12.0,7.7"
+"Carles Pérez,es ESP,""MF,FW"",Roma,23,1998,19.0,3.0,554.0,1.0,1.0,0.0,0.0,2.0,0.0,0.16,0.16,0.32,0.16,0.32,1.5,1.5,0.24,0.24,6.2,8.0,1.0,29.6,1.3,0.04,0.13,0.06,-0.5,-0.5,205.0,244.0,84.0,3230.0,632.0,111.0,123.0,90.2,71.0,79.0,89.9,16.0,26.0,61.5,15.0,17.0,6.0,0.0,19.0,221.0,23.0,1.0,1.0,0.0,19.0,15.0,10.0,2.0,0.0,7.0,0.0,6.0,38.0,6.17,18.0,5.0,7.0,3.0,2.0,0.32,2.0,0.0,0.0,0.0,0.0,8.0,3.0,3.0,1.0,4.0,10.0,0.0,10.0,2.0,2.0,0.0,334.0,0.0,27.0,114.0,194.0,31.0,334.0,206.0,25.0,20.0,9.0,231.0,15.0,11.0,0.0,13.0,7.0,0.0,0.0,0.0,0.0,20.0,0.0,10.0,0.0"
+Nehuén Pérez,ar ARG,DF,Udinese,21,2000,20.0,19.0,1692.0,0.0,1.0,0.0,0.0,6.0,0.0,0.0,0.05,0.05,0.0,0.05,1.1,1.1,0.06,0.06,18.8,1.0,0.0,10.0,0.05,0.0,0.0,0.12,-1.1,-1.1,593.0,774.0,76.6,10904.0,4448.0,248.0,282.0,87.9,265.0,322.0,82.3,64.0,131.0,48.9,6.0,43.0,1.0,0.0,40.0,630.0,141.0,31.0,0.0,12.0,2.0,0.0,0.0,0.0,0.0,106.0,3.0,10.0,17.0,0.9,12.0,4.0,0.0,0.0,3.0,0.16,2.0,1.0,0.0,0.0,0.0,44.0,21.0,21.0,21.0,2.0,27.0,9.0,18.0,21.0,47.0,0.0,969.0,117.0,435.0,462.0,80.0,20.0,969.0,437.0,16.0,9.0,1.0,476.0,13.0,4.0,0.0,30.0,9.0,0.0,0.0,1.0,0.0,104.0,28.0,36.0,43.8
+Mattia Perin,it ITA,GK,Juventus,28,1992,5.0,5.0,405.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,111.0,135.0,82.2,2599.0,1501.0,33.0,33.0,100.0,52.0,52.0,100.0,25.0,48.0,52.1,0.0,1.0,0.0,0.0,0.0,99.0,35.0,9.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,143.0,128.0,143.0,0.0,0.0,0.0,143.0,81.0,0.0,0.0,0.0,73.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0
+Ivan Perišić,hr CRO,DF,Inter,32,1989,35.0,35.0,2821.0,8.0,6.0,1.0,1.0,4.0,0.0,0.26,0.19,0.45,0.22,0.41,4.3,3.5,0.14,0.11,31.3,16.0,0.0,37.2,0.51,0.16,0.44,0.08,3.7,3.5,1079.0,1510.0,71.5,19289.0,6652.0,515.0,616.0,83.6,413.0,557.0,74.1,127.0,221.0,57.5,57.0,75.0,59.0,26.0,126.0,1307.0,196.0,6.0,2.0,17.0,150.0,1.0,0.0,1.0,0.0,189.0,7.0,51.0,118.0,3.76,100.0,5.0,4.0,0.0,13.0,0.41,11.0,0.0,1.0,0.0,0.0,38.0,22.0,18.0,11.0,9.0,39.0,7.0,32.0,47.0,42.0,0.0,1817.0,73.0,405.0,659.0,779.0,143.0,1816.0,925.0,135.0,75.0,44.0,1145.0,48.0,8.0,0.0,29.0,6.0,13.0,0.0,0.0,0.0,167.0,55.0,32.0,63.2
+"Diego Perotti,ar ARG,""MF,FW"",Salernitana,33,1988,11.0,1.0,287.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.4,0.6,0.44,0.19,3.2,2.0,1.0,22.2,0.63,0.0,0.0,0.07,-1.4,-0.6,112.0,147.0,76.2,1555.0,455.0,73.0,82.0,89.0,30.0,40.0,75.0,6.0,18.0,33.3,5.0,7.0,5.0,4.0,7.0,131.0,15.0,6.0,0.0,0.0,22.0,5.0,4.0,1.0,0.0,4.0,1.0,1.0,9.0,2.84,8.0,0.0,0.0,0.0,2.0,0.63,2.0,0.0,0.0,0.0,0.0,11.0,5.0,7.0,1.0,3.0,1.0,0.0,1.0,2.0,6.0,0.0,197.0,9.0,32.0,77.0,92.0,15.0,196.0,112.0,14.0,13.0,4.0,124.0,7.0,6.0,0.0,5.0,10.0,0.0,0.0,0.0,0.0,17.0,4.0,6.0,40.0"
+Mario Perrone,it ITA,DF,Salernitana,18,2003,1.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,10.0,70.0,112.0,43.0,3.0,3.0,100.0,4.0,4.0,100.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,4.0,5.0,1.0,0.0,10.0,2.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Matteo Pessina,it ITA,""MF,FW"",Atalanta,24,1997,27.0,18.0,1438.0,1.0,1.0,0.0,0.0,0.0,0.0,0.06,0.06,0.13,0.06,0.13,2.4,2.4,0.15,0.15,16.0,9.0,0.0,32.1,0.56,0.04,0.11,0.09,-1.4,-1.4,718.0,880.0,81.6,10454.0,2860.0,421.0,477.0,88.3,241.0,283.0,85.2,30.0,39.0,76.9,24.0,48.0,16.0,2.0,87.0,853.0,22.0,17.0,1.0,1.0,10.0,0.0,0.0,0.0,0.0,1.0,5.0,30.0,46.0,2.88,42.0,0.0,2.0,0.0,5.0,0.31,5.0,0.0,0.0,0.0,0.0,27.0,14.0,10.0,11.0,6.0,22.0,3.0,19.0,13.0,7.0,0.0,1064.0,14.0,168.0,549.0,370.0,54.0,1064.0,671.0,40.0,35.0,9.0,766.0,41.0,17.0,0.0,16.0,35.0,4.0,0.0,0.0,0.0,134.0,28.0,29.0,49.1"
+Andrea Petagna,it ITA,FW,Napoli,26,1995,24.0,4.0,586.0,3.0,1.0,0.0,0.0,1.0,0.0,0.46,0.15,0.61,0.46,0.61,1.6,1.6,0.25,0.25,6.5,6.0,0.0,46.2,0.92,0.23,0.5,0.13,1.4,1.4,114.0,162.0,70.4,1523.0,233.0,73.0,93.0,78.5,27.0,38.0,71.1,4.0,10.0,40.0,10.0,5.0,3.0,0.0,11.0,154.0,8.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,14.0,2.16,10.0,0.0,1.0,1.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,3.0,3.0,0.0,3.0,0.0,1.0,0.0,1.0,0.0,5.0,0.0,225.0,5.0,22.0,120.0,87.0,23.0,225.0,137.0,15.0,10.0,4.0,188.0,21.0,14.0,0.0,15.0,14.0,2.0,0.0,0.0,0.0,15.0,17.0,20.0,45.9
+"Giuseppe Pezzella,it ITA,""DF,MF"",Atalanta,23,1997,21.0,10.0,1072.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.17,0.17,0.0,0.17,0.6,0.6,0.05,0.05,11.9,1.0,0.0,11.1,0.08,0.0,0.0,0.07,-0.6,-0.6,508.0,658.0,77.2,7346.0,2203.0,315.0,352.0,89.5,145.0,183.0,79.2,32.0,68.0,47.1,9.0,30.0,7.0,3.0,46.0,541.0,112.0,4.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,108.0,5.0,23.0,13.0,1.09,10.0,2.0,1.0,0.0,2.0,0.17,1.0,0.0,1.0,0.0,0.0,28.0,13.0,15.0,7.0,6.0,13.0,5.0,8.0,9.0,16.0,0.0,788.0,22.0,169.0,348.0,285.0,23.0,788.0,443.0,35.0,29.0,7.0,495.0,18.0,12.0,0.0,19.0,30.0,2.0,0.0,0.0,0.0,82.0,14.0,14.0,50.0"
+Krzysztof Piątek,pl POL,FW,Fiorentina,26,1995,14.0,9.0,733.0,3.0,0.0,0.0,1.0,0.0,0.0,0.37,0.0,0.37,0.37,0.37,3.6,2.8,0.44,0.34,8.1,7.0,0.0,31.8,0.86,0.14,0.43,0.13,-0.6,0.2,126.0,158.0,79.7,1791.0,287.0,64.0,74.0,86.5,54.0,61.0,88.5,3.0,4.0,75.0,6.0,7.0,5.0,1.0,14.0,138.0,18.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,14.0,1.72,10.0,0.0,3.0,0.0,2.0,0.25,1.0,0.0,1.0,0.0,0.0,5.0,4.0,1.0,1.0,3.0,6.0,0.0,6.0,2.0,8.0,0.0,249.0,8.0,22.0,111.0,118.0,38.0,248.0,120.0,7.0,9.0,1.0,162.0,23.0,7.0,0.0,7.0,16.0,3.0,0.0,0.0,0.0,16.0,18.0,27.0,40.0
+Roberto Piccoli,it ITA,FW,Genoa,20,2001,5.0,2.0,218.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.07,0.07,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.2,-0.2,29.0,56.0,51.8,349.0,42.0,21.0,33.0,63.6,5.0,15.0,33.3,1.0,2.0,50.0,4.0,2.0,1.0,1.0,0.0,53.0,3.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,4.0,1.66,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,80.0,2.0,6.0,44.0,31.0,7.0,80.0,35.0,1.0,2.0,0.0,59.0,12.0,6.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,8.0,12.0,17.0,41.4
+Roberto Piccoli,it ITA,FW,Atalanta,20,2001,12.0,1.0,196.0,1.0,0.0,0.0,0.0,0.0,0.0,0.46,0.0,0.46,0.46,0.46,0.8,0.8,0.39,0.39,2.2,3.0,0.0,60.0,1.38,0.2,0.33,0.17,0.2,0.2,30.0,43.0,69.8,382.0,54.0,21.0,28.0,75.0,8.0,10.0,80.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,1.0,41.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,5.0,2.31,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,72.0,0.0,4.0,29.0,40.0,12.0,72.0,41.0,2.0,1.0,2.0,56.0,7.0,10.0,0.0,0.0,3.0,3.0,0.0,0.0,0.0,7.0,5.0,16.0,23.8
+Andrea Pinamonti,it ITA,FW,Empoli,22,1999,36.0,32.0,2869.0,13.0,2.0,4.0,4.0,4.0,0.0,0.41,0.06,0.47,0.28,0.35,12.7,9.5,0.4,0.3,31.9,23.0,1.0,26.7,0.72,0.1,0.39,0.11,0.3,-0.5,381.0,636.0,59.9,4696.0,1047.0,241.0,348.0,69.3,92.0,157.0,58.6,11.0,24.0,45.8,29.0,25.0,21.0,3.0,51.0,608.0,25.0,0.0,4.0,1.0,28.0,0.0,0.0,0.0,0.0,5.0,3.0,24.0,72.0,2.26,43.0,0.0,11.0,12.0,7.0,0.22,4.0,0.0,2.0,1.0,0.0,11.0,6.0,0.0,7.0,4.0,24.0,3.0,21.0,7.0,23.0,0.0,945.0,28.0,59.0,357.0,534.0,164.0,941.0,557.0,36.0,21.0,19.0,741.0,71.0,47.0,0.0,32.0,56.0,19.0,1.0,0.0,0.0,62.0,75.0,128.0,36.9
+Carlo Pinsoglio,it ITA,GK,Juventus,31,1990,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,10.0,11.0,90.9,293.0,227.0,0.0,0.0,0.0,6.0,6.0,100.0,4.0,5.0,80.0,0.0,0.0,0.0,0.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,12.0,13.0,0.0,0.0,0.0,13.0,10.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Riccardo Pinzi,it ITA,FW,Udinese,17,2003,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Marko Pjaca,hr CRO,MF,Torino,26,1995,24.0,13.0,1149.0,3.0,0.0,0.0,0.0,0.0,0.0,0.23,0.0,0.23,0.23,0.23,2.0,2.0,0.16,0.16,12.8,11.0,0.0,52.4,0.86,0.14,0.27,0.09,1.0,1.0,322.0,420.0,76.7,4593.0,1135.0,194.0,239.0,81.2,97.0,121.0,80.2,17.0,30.0,56.7,15.0,26.0,19.0,6.0,46.0,410.0,9.0,1.0,0.0,3.0,17.0,2.0,2.0,0.0,0.0,3.0,1.0,9.0,43.0,3.38,30.0,1.0,3.0,3.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,7.0,4.0,1.0,4.0,2.0,10.0,2.0,8.0,4.0,2.0,0.0,559.0,8.0,42.0,229.0,292.0,49.0,559.0,365.0,39.0,29.0,19.0,440.0,34.0,30.0,0.0,11.0,14.0,2.0,0.0,0.0,0.0,60.0,20.0,28.0,41.7
+Tommaso Pobega,it ITA,MF,Torino,22,1999,33.0,24.0,2240.0,4.0,2.0,0.0,0.0,11.0,0.0,0.16,0.08,0.24,0.16,0.24,3.2,3.2,0.13,0.13,24.9,8.0,0.0,16.7,0.32,0.08,0.5,0.07,0.8,0.8,918.0,1174.0,78.2,15319.0,4567.0,454.0,550.0,82.5,371.0,440.0,84.3,78.0,115.0,67.8,24.0,123.0,17.0,1.0,128.0,1157.0,14.0,12.0,0.0,9.0,16.0,0.0,0.0,0.0,0.0,1.0,3.0,26.0,63.0,2.53,52.0,0.0,4.0,6.0,4.0,0.16,2.0,0.0,1.0,1.0,0.0,48.0,30.0,17.0,20.0,11.0,32.0,3.0,29.0,25.0,38.0,0.0,1491.0,48.0,233.0,882.0,392.0,55.0,1491.0,807.0,33.0,42.0,9.0,991.0,45.0,16.0,0.0,75.0,39.0,2.0,1.0,0.0,0.0,147.0,77.0,79.0,49.4
+Suf Podgoreanu,il ISR,FW,Spezia,19,2002,5.0,1.0,113.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.0,0.8,0.0,0.0,0.02,0.02,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,39.0,53.0,73.6,511.0,75.0,25.0,27.0,92.6,10.0,14.0,71.4,1.0,3.0,33.3,1.0,1.0,2.0,1.0,2.0,51.0,2.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,4.0,3.21,3.0,0.0,0.0,0.0,2.0,1.61,1.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,2.0,0.0,2.0,1.0,3.0,0.0,72.0,3.0,7.0,25.0,40.0,1.0,72.0,45.0,4.0,5.0,0.0,54.0,2.0,2.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,100.0
+Matteo Politano,it ITA,FW,Napoli,27,1993,33.0,20.0,1650.0,3.0,4.0,0.0,0.0,3.0,0.0,0.16,0.22,0.38,0.16,0.38,2.6,2.6,0.14,0.14,18.3,11.0,1.0,26.2,0.6,0.07,0.27,0.06,0.4,0.4,542.0,776.0,69.8,8013.0,2339.0,334.0,382.0,87.4,140.0,221.0,63.3,44.0,106.0,41.5,32.0,24.0,27.0,10.0,64.0,689.0,80.0,15.0,0.0,9.0,108.0,47.0,32.0,5.0,0.0,18.0,7.0,22.0,73.0,3.98,40.0,13.0,5.0,7.0,8.0,0.44,7.0,0.0,0.0,0.0,0.0,24.0,12.0,8.0,11.0,5.0,11.0,2.0,9.0,13.0,5.0,0.0,974.0,10.0,126.0,296.0,561.0,81.0,974.0,651.0,76.0,35.0,32.0,719.0,31.0,21.0,0.0,14.0,28.0,4.0,0.0,0.0,0.0,73.0,7.0,13.0,35.0
+"Manolo Portanova,it ITA,""FW,MF"",Genoa,21,2000,24.0,17.0,1322.0,1.0,0.0,0.0,0.0,4.0,0.0,0.07,0.0,0.07,0.07,0.07,2.9,2.9,0.2,0.2,14.7,12.0,1.0,41.4,0.82,0.03,0.08,0.1,-1.9,-1.9,181.0,323.0,56.0,2559.0,862.0,106.0,145.0,73.1,47.0,96.0,49.0,14.0,47.0,29.8,9.0,14.0,7.0,0.0,28.0,292.0,27.0,9.0,0.0,2.0,40.0,15.0,9.0,5.0,0.0,3.0,4.0,16.0,29.0,1.97,12.0,7.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,46.0,28.0,9.0,26.0,11.0,26.0,2.0,24.0,17.0,22.0,0.0,577.0,24.0,95.0,277.0,217.0,37.0,577.0,296.0,30.0,14.0,8.0,306.0,53.0,24.0,0.0,45.0,26.0,5.0,0.0,0.0,0.0,75.0,23.0,33.0,41.1"
+Dennis Praet,be BEL,MF,Torino,27,1994,23.0,17.0,1539.0,2.0,2.0,0.0,0.0,3.0,0.0,0.12,0.12,0.23,0.12,0.23,2.3,2.3,0.14,0.14,17.1,8.0,0.0,33.3,0.47,0.08,0.25,0.11,-0.3,-0.3,430.0,588.0,73.1,6410.0,1650.0,247.0,292.0,84.6,144.0,196.0,73.5,22.0,45.0,48.9,25.0,35.0,24.0,11.0,52.0,562.0,21.0,4.0,4.0,5.0,45.0,3.0,0.0,0.0,0.0,13.0,5.0,19.0,50.0,2.92,42.0,1.0,2.0,2.0,4.0,0.23,3.0,0.0,1.0,0.0,0.0,19.0,10.0,6.0,8.0,5.0,12.0,1.0,11.0,3.0,4.0,0.0,723.0,6.0,69.0,300.0,361.0,49.0,723.0,412.0,34.0,19.0,12.0,511.0,28.0,16.0,0.0,21.0,17.0,3.0,0.0,0.0,0.0,71.0,8.0,19.0,29.6
+Mateusz Praszelik,pl POL,MF,Hellas Verona,20,2000,2.0,0.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05,0.05,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,9.0,11.0,81.8,80.0,10.0,6.0,8.0,75.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,7.0,8.0,2.0,15.0,12.0,2.0,2.0,0.0,14.0,3.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Ivan Provedel,it ITA,GK,Spezia,27,1994,31.0,31.0,2761.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.7,1.0,0.0,100.0,0.03,0.0,0.0,0.01,0.0,0.0,736.0,1199.0,61.4,23789.0,17852.0,95.0,96.0,99.0,291.0,301.0,96.7,349.0,788.0,44.3,0.0,25.0,1.0,0.0,2.0,837.0,349.0,120.0,1.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,2.0,0.07,2.0,0.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,10.0,2.0,1281.0,1031.0,1266.0,16.0,0.0,0.0,1281.0,716.0,0.0,0.0,0.0,568.0,1.0,0.0,0.0,2.0,4.0,0.0,0.0,2.0,1.0,50.0,6.0,0.0,100.0
+Erick Pulgar,cl CHI,MF,Fiorentina,27,1994,6.0,4.0,341.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.26,0.26,0.0,0.26,0.1,0.1,0.03,0.03,3.8,2.0,0.0,66.7,0.53,0.0,0.0,0.03,-0.1,-0.1,208.0,239.0,87.0,4047.0,1023.0,70.0,81.0,86.4,111.0,116.0,95.7,23.0,32.0,71.9,7.0,19.0,2.0,1.0,16.0,214.0,24.0,24.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,11.0,2.9,8.0,3.0,0.0,0.0,2.0,0.53,2.0,0.0,0.0,0.0,0.0,6.0,6.0,4.0,2.0,0.0,5.0,1.0,4.0,5.0,2.0,1.0,265.0,5.0,54.0,172.0,45.0,1.0,265.0,135.0,2.0,3.0,0.0,176.0,5.0,2.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,31.0,4.0,7.0,36.4
+"Ignacio Pussetto,ar ARG,""FW,MF"",Udinese,25,1995,28.0,11.0,1204.0,4.0,4.0,1.0,1.0,4.0,0.0,0.3,0.3,0.6,0.22,0.52,3.8,3.0,0.29,0.23,13.4,12.0,0.0,38.7,0.9,0.1,0.25,0.1,0.2,0.0,195.0,292.0,66.8,2873.0,707.0,107.0,141.0,75.9,63.0,92.0,68.5,11.0,17.0,64.7,15.0,19.0,6.0,2.0,29.0,264.0,25.0,3.0,0.0,2.0,21.0,0.0,0.0,0.0,0.0,6.0,3.0,13.0,37.0,2.76,22.0,0.0,4.0,5.0,7.0,0.52,4.0,0.0,0.0,1.0,1.0,17.0,9.0,2.0,9.0,6.0,18.0,2.0,16.0,4.0,13.0,0.0,509.0,16.0,43.0,229.0,247.0,60.0,508.0,266.0,28.0,19.0,11.0,336.0,40.0,22.0,0.0,30.0,27.0,9.0,1.0,0.0,0.0,39.0,31.0,51.0,37.8"
+Niklas Pyyhtiä,fi FIN,MF,Bologna,17,2003,1.0,0.0,19.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,24.0,83.3,358.0,106.0,7.0,7.0,100.0,12.0,14.0,85.7,1.0,2.0,50.0,0.0,4.0,1.0,0.0,3.0,23.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.74,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25.0,0.0,2.0,19.0,5.0,0.0,25.0,13.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0
+Fabio Quagliarella,it ITA,FW,Sampdoria,38,1983,33.0,19.0,1664.0,4.0,2.0,1.0,1.0,2.0,0.0,0.22,0.11,0.32,0.16,0.27,4.3,3.5,0.23,0.19,18.5,11.0,1.0,19.3,0.59,0.05,0.27,0.06,-0.3,-0.5,320.0,466.0,68.7,5214.0,1113.0,173.0,220.0,78.6,91.0,128.0,71.1,39.0,66.0,59.1,19.0,28.0,18.0,7.0,39.0,426.0,36.0,0.0,3.0,16.0,21.0,0.0,0.0,0.0,0.0,1.0,4.0,15.0,49.0,2.65,35.0,0.0,6.0,2.0,8.0,0.43,7.0,0.0,0.0,0.0,0.0,6.0,2.0,2.0,2.0,2.0,14.0,1.0,13.0,3.0,12.0,0.0,655.0,14.0,49.0,291.0,321.0,74.0,654.0,383.0,17.0,12.0,2.0,490.0,49.0,26.0,0.0,20.0,28.0,15.0,0.0,0.0,0.0,51.0,18.0,36.0,33.3
+Adrien Rabiot,fr FRA,MF,Juventus,26,1995,32.0,28.0,2285.0,0.0,2.0,0.0,0.0,5.0,0.0,0.0,0.08,0.08,0.0,0.08,2.1,2.1,0.08,0.08,25.4,7.0,0.0,26.9,0.28,0.0,0.0,0.08,-2.1,-2.1,862.0,1053.0,81.9,13474.0,3586.0,436.0,508.0,85.8,340.0,395.0,86.1,54.0,75.0,72.0,21.0,72.0,16.0,3.0,99.0,1025.0,27.0,18.0,0.0,3.0,25.0,0.0,0.0,0.0,0.0,9.0,1.0,23.0,45.0,1.77,35.0,0.0,3.0,2.0,3.0,0.12,3.0,0.0,0.0,0.0,0.0,64.0,43.0,32.0,24.0,8.0,34.0,8.0,26.0,20.0,41.0,1.0,1332.0,74.0,337.0,686.0,330.0,54.0,1332.0,744.0,65.0,37.0,12.0,875.0,38.0,24.0,0.0,45.0,28.0,4.0,0.0,1.0,0.0,150.0,49.0,30.0,62.0
+"Ivan Radovanović,rs SRB,""DF,MF"",Salernitana,32,1988,14.0,12.0,1053.0,1.0,1.0,0.0,0.0,4.0,0.0,0.09,0.09,0.17,0.09,0.17,1.0,1.0,0.08,0.08,11.7,5.0,1.0,27.8,0.43,0.06,0.2,0.05,0.0,0.0,428.0,520.0,82.3,8844.0,3454.0,146.0,163.0,89.6,199.0,234.0,85.0,76.0,105.0,72.4,5.0,33.0,2.0,0.0,32.0,492.0,28.0,26.0,0.0,4.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,14.0,1.2,12.0,0.0,2.0,0.0,1.0,0.09,0.0,0.0,1.0,0.0,0.0,11.0,7.0,8.0,3.0,0.0,14.0,7.0,7.0,7.0,29.0,0.0,607.0,60.0,272.0,276.0,66.0,14.0,607.0,313.0,11.0,10.0,0.0,374.0,4.0,1.0,0.0,9.0,10.0,0.0,0.0,0.0,0.0,60.0,17.0,13.0,56.7"
+Ionuț Radu,ro ROU,GK,Inter,24,1997,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,23.0,82.6,535.0,329.0,2.0,2.0,100.0,9.0,9.0,100.0,8.0,12.0,66.7,0.0,1.0,0.0,0.0,0.0,19.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,24.0,18.0,24.0,0.0,0.0,0.0,24.0,15.0,0.0,0.0,0.0,16.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Ștefan Radu,ro ROU,DF,Lazio,34,1986,10.0,6.0,556.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.01,0.01,6.2,1.0,0.0,50.0,0.16,0.0,0.0,0.03,-0.1,-0.1,268.0,330.0,81.2,4329.0,1809.0,121.0,139.0,87.1,124.0,146.0,84.9,15.0,31.0,48.4,0.0,21.0,0.0,0.0,21.0,291.0,39.0,3.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,35.0,0.0,4.0,2.0,0.32,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,6.0,3.0,6.0,0.0,7.0,2.0,5.0,5.0,15.0,0.0,379.0,35.0,163.0,176.0,41.0,2.0,379.0,173.0,6.0,4.0,0.0,232.0,5.0,3.0,0.0,4.0,5.0,0.0,0.0,0.0,0.0,38.0,7.0,9.0,43.8
+Boris Radunović,rs SRB,GK,Cagliari,25,1996,3.0,3.0,270.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,55.0,100.0,55.0,1975.0,1599.0,10.0,10.0,100.0,18.0,18.0,100.0,27.0,72.0,37.5,0.0,3.0,0.0,0.0,0.0,64.0,36.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,108.0,102.0,108.0,0.0,0.0,0.0,108.0,62.0,0.0,0.0,0.0,40.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Antonio Raimondo,it ITA,FW,Bologna,17,2004,1.0,1.0,74.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.13,0.13,0.8,1.0,0.0,50.0,1.22,0.0,0.0,0.05,-0.1,-0.1,6.0,10.0,60.0,70.0,1.0,5.0,5.0,100.0,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.22,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,22.0,1.0,5.0,7.0,10.0,5.0,22.0,12.0,0.0,0.0,0.0,15.0,1.0,4.0,0.0,3.0,0.0,3.0,0.0,0.0,0.0,2.0,0.0,3.0,0.0
+Aaron Ramsey,wls WAL,MF,Juventus,30,1990,3.0,1.0,99.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,59.0,66.0,89.4,1014.0,260.0,25.0,29.0,86.2,29.0,31.0,93.5,4.0,5.0,80.0,2.0,6.0,0.0,0.0,4.0,64.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.76,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,67.0,1.0,20.0,39.0,8.0,2.0,67.0,35.0,0.0,0.0,0.0,58.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0
+Luca Ranieri,it ITA,DF,Salernitana,22,1999,27.0,25.0,2103.0,1.0,0.0,0.0,0.0,9.0,0.0,0.04,0.0,0.04,0.04,0.04,0.6,0.6,0.03,0.03,23.4,4.0,0.0,44.4,0.17,0.11,0.25,0.07,0.4,0.4,698.0,993.0,70.3,11546.0,5442.0,339.0,396.0,85.6,280.0,401.0,69.8,58.0,123.0,47.2,11.0,56.0,17.0,14.0,76.0,789.0,199.0,27.0,0.0,1.0,66.0,1.0,0.0,1.0,0.0,171.0,5.0,32.0,26.0,1.11,23.0,2.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,38.0,21.0,23.0,11.0,4.0,18.0,8.0,10.0,22.0,67.0,0.0,1214.0,94.0,374.0,575.0,275.0,22.0,1214.0,564.0,37.0,22.0,1.0,644.0,21.0,10.0,0.0,16.0,10.0,2.0,0.0,0.0,0.0,103.0,18.0,16.0,52.9
+Andrea Ranocchia,it ITA,DF,Inter,33,1988,6.0,3.0,341.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.12,0.12,3.8,1.0,0.0,50.0,0.26,0.0,0.0,0.23,-0.5,-0.5,182.0,198.0,91.9,3763.0,1618.0,48.0,55.0,87.3,104.0,108.0,96.3,30.0,33.0,90.9,0.0,4.0,1.0,0.0,9.0,188.0,10.0,9.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.06,4.0,0.0,0.0,0.0,1.0,0.26,1.0,0.0,0.0,0.0,0.0,8.0,4.0,5.0,1.0,2.0,4.0,3.0,1.0,4.0,16.0,0.0,234.0,42.0,126.0,104.0,7.0,3.0,234.0,134.0,0.0,1.0,0.0,156.0,2.0,0.0,0.0,4.0,2.0,1.0,0.0,0.0,0.0,14.0,16.0,7.0,69.6
+"Giacomo Raspadori,it ITA,""MF,FW"",Sassuolo,21,2000,36.0,32.0,2740.0,10.0,4.0,0.0,0.0,9.0,1.0,0.33,0.13,0.46,0.33,0.46,7.2,7.2,0.24,0.24,30.4,25.0,3.0,35.2,0.82,0.14,0.4,0.1,2.8,2.8,814.0,1045.0,77.9,12449.0,2236.0,434.0,496.0,87.5,260.0,313.0,83.1,60.0,119.0,50.4,43.0,41.0,29.0,1.0,86.0,958.0,81.0,19.0,10.0,15.0,63.0,38.0,17.0,14.0,0.0,5.0,6.0,30.0,103.0,3.38,75.0,7.0,5.0,6.0,14.0,0.46,8.0,0.0,0.0,1.0,0.0,29.0,18.0,5.0,15.0,9.0,29.0,3.0,26.0,9.0,11.0,0.0,1359.0,25.0,180.0,610.0,585.0,113.0,1359.0,817.0,49.0,28.0,17.0,1002.0,88.0,48.0,1.0,29.0,33.0,4.0,1.0,0.0,0.0,126.0,9.0,18.0,33.3"
+Nicola Ravaglia,it ITA,GK,Sampdoria,32,1988,1.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,131.0,131.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,4.0,5.0,0.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Ante Rebić,hr CRO,FW,Milan,27,1993,24.0,6.0,891.0,2.0,2.0,0.0,0.0,2.0,0.0,0.2,0.2,0.4,0.2,0.4,2.4,2.4,0.24,0.24,9.9,6.0,0.0,20.0,0.61,0.07,0.33,0.08,-0.4,-0.4,182.0,299.0,60.9,2866.0,964.0,96.0,146.0,65.8,53.0,80.0,66.3,21.0,34.0,61.8,29.0,16.0,24.0,8.0,38.0,291.0,6.0,0.0,1.0,4.0,28.0,0.0,0.0,0.0,0.0,4.0,2.0,12.0,51.0,5.16,36.0,0.0,7.0,3.0,3.0,0.3,2.0,0.0,0.0,0.0,1.0,14.0,8.0,3.0,6.0,5.0,14.0,0.0,14.0,3.0,3.0,1.0,443.0,6.0,20.0,141.0,288.0,75.0,443.0,254.0,36.0,16.0,20.0,325.0,33.0,16.0,0.0,18.0,9.0,8.0,0.0,0.0,0.0,25.0,13.0,22.0,37.1
+Arkadiusz Reca,pl POL,DF,Spezia,26,1995,25.0,22.0,1772.0,0.0,2.0,0.0,0.0,3.0,0.0,0.0,0.1,0.1,0.0,0.1,0.3,0.3,0.02,0.02,19.7,4.0,0.0,50.0,0.2,0.0,0.0,0.04,-0.3,-0.3,622.0,879.0,70.8,10345.0,4830.0,309.0,369.0,83.7,233.0,304.0,76.6,61.0,144.0,42.4,13.0,45.0,15.0,9.0,57.0,688.0,185.0,7.0,0.0,3.0,37.0,0.0,0.0,0.0,0.0,178.0,6.0,28.0,29.0,1.47,23.0,3.0,0.0,1.0,3.0,0.15,2.0,1.0,0.0,0.0,0.0,31.0,19.0,21.0,3.0,7.0,20.0,7.0,13.0,32.0,47.0,2.0,1101.0,85.0,433.0,446.0,229.0,10.0,1101.0,504.0,51.0,30.0,5.0,560.0,37.0,8.0,0.0,23.0,13.0,0.0,0.0,1.0,0.0,98.0,18.0,28.0,39.1
+Pepe Reina,es ESP,GK,Lazio,38,1982,15.0,15.0,1350.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.07,0.07,0.0,0.07,0.0,0.0,0.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,433.0,528.0,82.0,10958.0,8272.0,111.0,112.0,99.1,177.0,184.0,96.2,142.0,229.0,62.0,1.0,5.0,0.0,0.0,0.0,398.0,130.0,30.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,0.13,2.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,554.0,483.0,552.0,2.0,0.0,0.0,554.0,334.0,0.0,0.0,0.0,287.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,7.0,5.0,0.0,100.0
+Panagiotis Retsos,gr GRE,DF,Hellas Verona,22,1998,5.0,1.0,55.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,22.0,63.6,252.0,76.0,6.0,10.0,60.0,6.0,9.0,66.7,2.0,3.0,66.7,1.0,0.0,2.0,1.0,2.0,19.0,3.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,1.73,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,0.0,29.0,3.0,10.0,12.0,7.0,1.0,29.0,15.0,3.0,1.0,0.0,11.0,2.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+Bryan Reynolds,us USA,DF,Roma,20,2001,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,32.0,7.0,1.0,1.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,0.0,2.0,1.0,1.0,0.0,4.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Franck Ribéry,fr FRA,""MF,FW"",Salernitana,38,1983,23.0,16.0,1421.0,0.0,2.0,0.0,0.0,3.0,1.0,0.0,0.13,0.13,0.0,0.13,0.9,0.9,0.06,0.06,15.8,2.0,2.0,16.7,0.13,0.0,0.0,0.07,-0.9,-0.9,510.0,657.0,77.6,7667.0,1958.0,287.0,328.0,87.5,156.0,183.0,85.2,39.0,70.0,55.7,30.0,44.0,21.0,2.0,71.0,588.0,67.0,20.0,0.0,8.0,43.0,22.0,10.0,7.0,1.0,10.0,2.0,22.0,62.0,3.92,46.0,5.0,2.0,5.0,5.0,0.32,3.0,1.0,0.0,1.0,0.0,17.0,10.0,6.0,6.0,5.0,12.0,0.0,12.0,3.0,1.0,0.0,865.0,3.0,80.0,407.0,386.0,59.0,865.0,569.0,65.0,48.0,30.0,621.0,70.0,52.0,0.0,31.0,39.0,2.0,0.0,0.0,0.0,82.0,4.0,13.0,23.5"
+Samuele Ricci,it ITA,MF,Torino,19,2001,12.0,9.0,722.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,8.0,1.0,0.0,25.0,0.12,0.0,0.0,0.1,-0.4,-0.4,367.0,395.0,92.9,6506.0,1517.0,156.0,165.0,94.5,175.0,181.0,96.7,31.0,37.0,83.8,4.0,37.0,1.0,0.0,31.0,374.0,21.0,17.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,14.0,1.74,12.0,1.0,1.0,0.0,1.0,0.12,0.0,0.0,1.0,0.0,0.0,8.0,4.0,4.0,2.0,2.0,7.0,1.0,6.0,14.0,9.0,0.0,467.0,27.0,92.0,310.0,71.0,5.0,467.0,291.0,5.0,13.0,0.0,339.0,6.0,3.0,0.0,14.0,13.0,2.0,0.0,0.0,0.0,40.0,1.0,5.0,16.7
+Samuele Ricci,it ITA,MF,Empoli,19,2001,21.0,17.0,1530.0,1.0,1.0,0.0,0.0,1.0,1.0,0.06,0.06,0.12,0.06,0.12,0.2,0.2,0.01,0.01,17.0,1.0,0.0,12.5,0.06,0.13,1.0,0.03,0.8,0.8,832.0,932.0,89.3,15351.0,4216.0,315.0,336.0,93.8,429.0,457.0,93.9,74.0,106.0,69.8,7.0,90.0,7.0,0.0,103.0,888.0,42.0,40.0,1.0,7.0,6.0,0.0,0.0,0.0,0.0,2.0,2.0,10.0,27.0,1.59,21.0,1.0,1.0,3.0,4.0,0.24,4.0,0.0,0.0,0.0,0.0,33.0,19.0,17.0,13.0,3.0,24.0,5.0,19.0,31.0,18.0,0.0,1078.0,53.0,291.0,673.0,125.0,2.0,1078.0,668.0,24.0,15.0,1.0,746.0,10.0,12.0,0.0,17.0,42.0,0.0,0.0,0.0,0.0,121.0,3.0,4.0,42.9
+Tomás Rincón,ve VEN,MF,Torino,33,1988,7.0,1.0,163.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,73.0,89.0,82.0,1330.0,244.0,34.0,42.0,81.0,29.0,32.0,90.6,9.0,12.0,75.0,2.0,6.0,0.0,0.0,7.0,84.0,4.0,3.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,3.0,1.68,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,3.0,1.0,2.0,2.0,4.0,0.0,112.0,5.0,22.0,70.0,21.0,1.0,112.0,53.0,0.0,1.0,0.0,62.0,4.0,0.0,0.0,5.0,2.0,0.0,0.0,0.0,0.0,11.0,3.0,5.0,37.5
+Tomás Rincón,ve VEN,MF,Sampdoria,33,1988,17.0,13.0,1166.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,13.0,1.0,0.0,50.0,0.08,0.0,0.0,0.14,-0.3,-0.3,480.0,576.0,83.3,8381.0,2611.0,224.0,252.0,88.9,192.0,222.0,86.5,56.0,77.0,72.7,4.0,50.0,6.0,0.0,46.0,563.0,11.0,9.0,4.0,5.0,5.0,0.0,0.0,0.0,0.0,1.0,2.0,10.0,13.0,1.0,12.0,0.0,0.0,1.0,1.0,0.08,1.0,0.0,0.0,0.0,0.0,22.0,13.0,9.0,10.0,3.0,15.0,2.0,13.0,18.0,11.0,0.0,681.0,24.0,179.0,418.0,94.0,6.0,681.0,399.0,12.0,10.0,2.0,481.0,11.0,13.0,0.0,22.0,31.0,0.0,0.0,0.0,0.0,75.0,14.0,11.0,56.0
+Ricardo Rodríguez,ch SUI,DF,Torino,28,1992,34.0,28.0,2473.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.04,0.04,0.0,0.04,0.3,0.3,0.01,0.01,27.5,0.0,3.0,0.0,0.0,0.0,0.0,0.04,-0.3,-0.3,1247.0,1469.0,84.9,21547.0,8073.0,602.0,644.0,93.5,515.0,562.0,91.6,108.0,198.0,54.5,22.0,101.0,7.0,2.0,115.0,1374.0,86.0,31.0,1.0,22.0,65.0,46.0,28.0,17.0,0.0,8.0,9.0,22.0,44.0,1.6,23.0,18.0,3.0,0.0,3.0,0.11,1.0,1.0,1.0,0.0,0.0,36.0,21.0,11.0,23.0,2.0,22.0,8.0,14.0,41.0,48.0,1.0,1672.0,88.0,586.0,868.0,228.0,6.0,1672.0,1001.0,50.0,52.0,3.0,1092.0,8.0,2.0,0.0,26.0,11.0,0.0,0.0,1.0,0.0,163.0,53.0,34.0,60.9
+Marko Rog,hr CRO,MF,Cagliari,26,1995,8.0,2.0,311.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.29,0.29,0.0,0.29,0.3,0.3,0.08,0.08,3.5,1.0,0.0,14.3,0.29,0.0,0.0,0.04,-0.3,-0.3,122.0,152.0,80.3,1663.0,357.0,71.0,81.0,87.7,36.0,47.0,76.6,6.0,9.0,66.7,4.0,13.0,1.0,0.0,14.0,141.0,11.0,8.0,0.0,1.0,3.0,1.0,1.0,0.0,0.0,2.0,0.0,3.0,18.0,5.23,14.0,0.0,1.0,2.0,2.0,0.58,1.0,0.0,0.0,1.0,0.0,5.0,3.0,1.0,2.0,2.0,6.0,1.0,5.0,1.0,3.0,0.0,191.0,4.0,25.0,89.0,79.0,4.0,191.0,110.0,7.0,10.0,1.0,125.0,6.0,7.0,0.0,11.0,14.0,0.0,0.0,0.0,0.0,19.0,4.0,5.0,44.4
+Rogério,br BRA,DF,Sassuolo,23,1998,23.0,19.0,1729.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.05,0.05,0.0,0.05,0.4,0.4,0.02,0.02,19.2,4.0,0.0,28.6,0.21,0.0,0.0,0.03,-0.4,-0.4,921.0,1131.0,81.4,14979.0,4524.0,459.0,510.0,90.0,354.0,400.0,88.5,76.0,140.0,54.3,27.0,57.0,26.0,12.0,78.0,967.0,161.0,24.0,0.0,11.0,82.0,20.0,0.0,19.0,0.0,117.0,3.0,20.0,51.0,2.65,40.0,6.0,0.0,1.0,3.0,0.16,3.0,0.0,0.0,0.0,0.0,21.0,13.0,12.0,5.0,4.0,20.0,8.0,12.0,18.0,42.0,1.0,1312.0,67.0,413.0,598.0,318.0,18.0,1312.0,769.0,61.0,45.0,6.0,879.0,19.0,16.0,0.0,15.0,34.0,1.0,0.0,0.0,0.0,95.0,10.0,15.0,40.0
+Alessio Romagnoli,it ITA,DF,Milan,26,1995,19.0,16.0,1409.0,1.0,0.0,0.0,0.0,4.0,1.0,0.06,0.0,0.06,0.06,0.06,0.6,0.6,0.04,0.04,15.7,5.0,0.0,41.7,0.32,0.08,0.2,0.05,0.4,0.4,893.0,999.0,89.4,16845.0,6188.0,291.0,323.0,90.1,505.0,540.0,93.5,80.0,108.0,74.1,3.0,66.0,3.0,0.0,71.0,947.0,51.0,34.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,5.0,12.0,0.77,11.0,0.0,1.0,0.0,2.0,0.13,2.0,0.0,0.0,0.0,0.0,24.0,14.0,14.0,10.0,0.0,21.0,12.0,9.0,19.0,45.0,0.0,1142.0,116.0,498.0,604.0,44.0,21.0,1142.0,614.0,6.0,0.0,0.0,786.0,3.0,0.0,0.0,17.0,13.0,3.0,0.0,1.0,0.0,79.0,46.0,19.0,70.8
+Simone Romagnoli,it ITA,DF,Empoli,31,1990,19.0,17.0,1497.0,2.0,0.0,0.0,0.0,3.0,0.0,0.12,0.0,0.12,0.12,0.12,1.5,1.5,0.09,0.09,16.6,2.0,0.0,40.0,0.12,0.4,1.0,0.3,0.5,0.5,612.0,796.0,76.9,12093.0,5583.0,205.0,245.0,83.7,320.0,395.0,81.0,83.0,136.0,61.0,5.0,44.0,7.0,0.0,61.0,726.0,63.0,47.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,7.0,6.0,11.0,0.66,9.0,2.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,28.0,12.0,14.0,12.0,2.0,34.0,28.0,6.0,9.0,86.0,0.0,982.0,183.0,528.0,424.0,34.0,13.0,982.0,469.0,14.0,5.0,0.0,509.0,4.0,2.0,0.0,17.0,5.0,0.0,0.0,1.0,1.0,103.0,54.0,33.0,62.1
+Luka Romero,ar ARG,FW,Lazio,16,2004,8.0,0.0,84.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.02,0.9,1.0,0.0,100.0,1.07,0.0,0.0,0.01,0.0,0.0,35.0,37.0,94.6,498.0,38.0,19.0,20.0,95.0,12.0,12.0,100.0,1.0,1.0,100.0,1.0,0.0,1.0,1.0,0.0,33.0,4.0,1.0,0.0,0.0,1.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,2.14,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,46.0,0.0,2.0,18.0,28.0,1.0,46.0,35.0,6.0,4.0,1.0,35.0,2.0,0.0,0.0,2.0,3.0,0.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0
+Sergio Romero,ar ARG,GK,Venezia,34,1987,16.0,16.0,1440.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,415.0,586.0,70.8,11661.0,8294.0,78.0,80.0,97.5,191.0,199.0,96.0,145.0,305.0,47.5,1.0,11.0,0.0,0.0,1.0,397.0,188.0,46.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,5.0,0.31,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,0.0,0.0,1.0,10.0,0.0,647.0,575.0,643.0,4.0,0.0,0.0,647.0,355.0,0.0,0.0,0.0,253.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,13.0,6.0,1.0,85.7
+Cristiano Ronaldo,pt POR,FW,Juventus,36,1985,1.0,0.0,31.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.44,0.44,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.15,-0.2,-0.2,8.0,13.0,61.5,105.0,16.0,6.0,8.0,75.0,1.0,2.0,50.0,1.0,1.0,100.0,1.0,0.0,0.0,0.0,2.0,13.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,5.81,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,0.0,1.0,8.0,7.0,2.0,15.0,7.0,1.0,2.0,0.0,11.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+"Marten de Roon,nl NED,""MF,DF"",Atalanta,30,1991,30.0,28.0,2548.0,3.0,0.0,0.0,0.0,7.0,1.0,0.11,0.0,0.11,0.11,0.11,2.0,2.0,0.07,0.07,28.3,5.0,0.0,21.7,0.18,0.13,0.6,0.09,1.0,1.0,1434.0,1690.0,84.9,25483.0,8331.0,650.0,725.0,89.7,618.0,677.0,91.3,141.0,230.0,61.3,7.0,163.0,21.0,0.0,176.0,1615.0,72.0,50.0,0.0,32.0,7.0,0.0,0.0,0.0,0.0,22.0,3.0,21.0,42.0,1.48,38.0,1.0,1.0,0.0,3.0,0.11,3.0,0.0,0.0,0.0,0.0,69.0,42.0,33.0,29.0,7.0,36.0,2.0,34.0,45.0,41.0,0.0,1952.0,74.0,507.0,1129.0,327.0,19.0,1952.0,1090.0,19.0,23.0,2.0,1232.0,13.0,7.0,1.0,50.0,15.0,0.0,0.0,0.0,0.0,212.0,52.0,34.0,60.5"
+Francesco Rossi,it ITA,GK,Atalanta,30,1991,1.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,16.0,75.0,341.0,279.0,0.0,0.0,0.0,8.0,8.0,100.0,4.0,8.0,50.0,0.0,0.0,0.0,0.0,0.0,11.0,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,17.0,17.0,0.0,0.0,0.0,17.0,8.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Nicolò Rovella,it ITA,MF,Genoa,19,2001,21.0,16.0,1468.0,0.0,3.0,0.0,0.0,5.0,0.0,0.0,0.18,0.18,0.0,0.18,0.7,0.7,0.04,0.04,16.3,4.0,6.0,23.5,0.25,0.0,0.0,0.04,-0.7,-0.7,762.0,977.0,78.0,14063.0,3760.0,344.0,373.0,92.2,269.0,327.0,82.3,121.0,226.0,53.5,30.0,64.0,8.0,1.0,84.0,822.0,152.0,75.0,3.0,11.0,110.0,68.0,26.0,32.0,0.0,9.0,3.0,11.0,61.0,3.74,28.0,25.0,2.0,4.0,6.0,0.37,2.0,4.0,0.0,0.0,0.0,37.0,26.0,16.0,14.0,7.0,21.0,1.0,20.0,20.0,20.0,0.0,1138.0,34.0,220.0,633.0,301.0,9.0,1138.0,636.0,31.0,23.0,0.0,685.0,20.0,16.0,0.0,26.0,24.0,3.0,0.0,0.0,0.0,118.0,5.0,15.0,25.0
+Amir Rrahmani,xk KVX,DF,Napoli,27,1994,33.0,33.0,2927.0,4.0,0.0,0.0,0.0,5.0,0.0,0.12,0.0,0.12,0.12,0.12,4.0,4.0,0.12,0.12,32.5,9.0,0.0,40.9,0.28,0.18,0.44,0.18,0.0,0.0,1835.0,2015.0,91.1,32159.0,11658.0,795.0,850.0,93.5,861.0,905.0,95.1,155.0,215.0,72.1,5.0,83.0,3.0,0.0,81.0,1906.0,107.0,61.0,0.0,15.0,0.0,0.0,0.0,0.0,0.0,5.0,2.0,4.0,21.0,0.65,18.0,0.0,2.0,0.0,4.0,0.12,4.0,0.0,0.0,0.0,0.0,21.0,11.0,15.0,5.0,1.0,36.0,25.0,11.0,19.0,89.0,0.0,2238.0,268.0,1084.0,1089.0,73.0,31.0,2238.0,1377.0,12.0,14.0,1.0,1583.0,10.0,7.0,0.0,23.0,23.0,0.0,0.0,0.0,0.0,174.0,78.0,50.0,60.9
+Ruan,br BRA,DF,Sassuolo,22,1999,10.0,0.0,214.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,84.0,110.0,76.4,1194.0,609.0,52.0,60.0,86.7,26.0,37.0,70.3,2.0,6.0,33.3,1.0,5.0,0.0,0.0,8.0,91.0,19.0,3.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,16.0,0.0,2.0,5.0,2.1,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,4.0,7.0,0.0,0.0,6.0,5.0,1.0,2.0,24.0,1.0,160.0,34.0,80.0,61.0,20.0,2.0,160.0,59.0,5.0,4.0,0.0,61.0,2.0,2.0,0.0,4.0,8.0,0.0,0.0,1.0,0.0,22.0,7.0,8.0,46.7
+Daniele Rugani,it ITA,DF,Juventus,27,1994,12.0,9.0,879.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,9.8,0.0,0.0,0.0,0.0,0.0,0.0,0.08,-0.2,-0.2,497.0,547.0,90.9,9586.0,3391.0,154.0,159.0,96.9,296.0,312.0,94.9,41.0,63.0,65.1,1.0,23.0,0.0,0.0,28.0,528.0,18.0,12.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,4.0,2.0,0.2,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,5.0,4.0,4.0,0.0,9.0,4.0,5.0,11.0,47.0,0.0,631.0,94.0,327.0,290.0,16.0,5.0,631.0,390.0,3.0,2.0,0.0,456.0,1.0,2.0,0.0,11.0,1.0,0.0,0.0,0.0,0.0,43.0,16.0,14.0,53.3
+Matteo Ruggeri,it ITA,DF,Salernitana,19,2002,14.0,8.0,676.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,7.5,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.2,-0.2,198.0,302.0,65.6,3402.0,1434.0,94.0,114.0,82.5,78.0,122.0,63.9,22.0,47.0,46.8,4.0,15.0,6.0,5.0,16.0,251.0,49.0,3.0,0.0,4.0,29.0,0.0,0.0,0.0,0.0,46.0,2.0,6.0,8.0,1.06,7.0,1.0,0.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,8.0,4.0,5.0,2.0,1.0,6.0,1.0,5.0,2.0,25.0,0.0,366.0,40.0,117.0,157.0,94.0,10.0,366.0,146.0,10.0,4.0,1.0,200.0,9.0,3.0,0.0,1.0,2.0,1.0,0.0,0.0,0.0,40.0,9.0,7.0,56.3
+Mário Rui,pt POR,DF,Napoli,30,1991,34.0,34.0,2992.0,0.0,5.0,0.0,0.0,7.0,0.0,0.0,0.15,0.15,0.0,0.15,1.6,1.6,0.05,0.05,33.2,10.0,5.0,31.3,0.3,0.0,0.0,0.05,-1.6,-1.6,2073.0,2461.0,84.2,33194.0,10011.0,1142.0,1230.0,92.8,682.0,786.0,86.8,183.0,301.0,60.8,41.0,126.0,36.0,8.0,150.0,2104.0,346.0,80.0,1.0,34.0,80.0,18.0,7.0,6.0,0.0,248.0,11.0,35.0,83.0,2.5,65.0,5.0,3.0,6.0,10.0,0.3,5.0,2.0,1.0,2.0,0.0,68.0,43.0,32.0,28.0,8.0,31.0,7.0,24.0,40.0,50.0,0.0,2736.0,102.0,764.0,1346.0,642.0,53.0,2736.0,1546.0,67.0,35.0,13.0,1892.0,25.0,14.0,0.0,31.0,60.0,4.0,0.0,0.0,0.0,173.0,14.0,31.0,31.1
+Fabián Ruiz Peña,es ESP,MF,Napoli,25,1996,32.0,29.0,2384.0,7.0,4.0,0.0,0.0,2.0,0.0,0.26,0.15,0.42,0.26,0.42,1.6,1.6,0.06,0.06,26.5,13.0,0.0,32.5,0.49,0.18,0.54,0.04,5.4,5.4,1969.0,2196.0,89.7,32223.0,8053.0,1057.0,1132.0,93.4,654.0,719.0,91.0,190.0,230.0,82.6,32.0,219.0,32.0,2.0,220.0,2143.0,48.0,47.0,2.0,37.0,17.0,0.0,0.0,0.0,0.0,1.0,5.0,26.0,84.0,3.17,77.0,1.0,3.0,2.0,11.0,0.42,11.0,0.0,0.0,0.0,0.0,55.0,33.0,22.0,29.0,4.0,34.0,1.0,33.0,22.0,32.0,0.0,2455.0,73.0,463.0,1495.0,516.0,39.0,2455.0,1488.0,58.0,46.0,9.0,1962.0,28.0,11.0,0.0,21.0,18.0,1.0,0.0,0.0,0.0,203.0,8.0,12.0,40.0
+Alessandro Russo,it ITA,MF,Salernitana,17,2003,1.0,0.0,29.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,6.0,50.0,24.0,6.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,9.0,1.0,4.0,4.0,2.0,1.0,9.0,5.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Stefano Sabelli,it ITA,DF,Genoa,28,1993,7.0,5.0,348.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,3.9,1.0,0.0,50.0,0.26,0.0,0.0,0.07,-0.1,-0.1,96.0,153.0,62.7,1485.0,630.0,52.0,64.0,81.3,41.0,59.0,69.5,2.0,15.0,13.3,2.0,8.0,3.0,0.0,14.0,123.0,30.0,1.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,29.0,0.0,10.0,6.0,1.55,4.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,3.0,3.0,2.0,1.0,5.0,1.0,4.0,3.0,12.0,0.0,203.0,13.0,68.0,76.0,61.0,5.0,203.0,109.0,11.0,4.0,1.0,110.0,12.0,4.0,0.0,6.0,8.0,0.0,0.0,1.0,0.0,19.0,3.0,4.0,42.9
+"Abdelhamid Sabiri,ma MAR,""MF,FW"",Sampdoria,24,1996,14.0,9.0,893.0,3.0,2.0,0.0,0.0,3.0,0.0,0.3,0.2,0.5,0.3,0.5,1.4,1.4,0.14,0.14,9.9,9.0,3.0,56.3,0.91,0.19,0.33,0.09,1.6,1.6,259.0,346.0,74.9,4452.0,1155.0,123.0,145.0,84.8,98.0,121.0,81.0,28.0,44.0,63.6,13.0,28.0,5.0,1.0,35.0,313.0,29.0,15.0,0.0,4.0,15.0,6.0,4.0,0.0,0.0,5.0,4.0,13.0,28.0,2.82,18.0,2.0,0.0,2.0,5.0,0.5,2.0,0.0,0.0,1.0,1.0,34.0,18.0,10.0,15.0,9.0,10.0,2.0,8.0,7.0,3.0,0.0,481.0,5.0,52.0,256.0,181.0,24.0,481.0,275.0,13.0,14.0,4.0,347.0,32.0,18.0,0.0,21.0,34.0,1.0,0.0,0.0,0.0,39.0,26.0,26.0,50.0"
+Alexis Saelemaekers,be BEL,FW,Milan,22,1999,36.0,22.0,1865.0,1.0,3.0,0.0,0.0,2.0,0.0,0.05,0.14,0.19,0.05,0.19,2.9,2.9,0.14,0.14,20.7,12.0,0.0,30.8,0.58,0.03,0.08,0.07,-1.9,-1.9,681.0,869.0,78.4,9508.0,2300.0,438.0,500.0,87.6,189.0,241.0,78.4,34.0,60.0,56.7,38.0,45.0,26.0,10.0,54.0,840.0,28.0,6.0,2.0,1.0,63.0,10.0,0.0,2.0,0.0,11.0,1.0,26.0,82.0,3.96,61.0,3.0,5.0,4.0,8.0,0.39,5.0,0.0,0.0,2.0,0.0,43.0,22.0,12.0,17.0,14.0,19.0,0.0,19.0,15.0,8.0,0.0,1129.0,14.0,111.0,511.0,530.0,68.0,1129.0,687.0,63.0,39.0,16.0,827.0,54.0,29.0,0.0,29.0,37.0,1.0,0.0,0.0,0.0,120.0,9.0,14.0,39.1
+Jacopo Sala,it ITA,MF,Spezia,29,1991,18.0,13.0,880.0,1.0,0.0,0.0,0.0,3.0,0.0,0.1,0.0,0.1,0.1,0.1,0.1,0.1,0.01,0.01,9.8,2.0,0.0,50.0,0.2,0.25,0.5,0.03,0.9,0.9,407.0,473.0,86.0,6478.0,1820.0,203.0,224.0,90.6,158.0,177.0,89.3,28.0,43.0,65.1,7.0,35.0,4.0,1.0,41.0,450.0,21.0,20.0,0.0,2.0,6.0,0.0,0.0,0.0,0.0,1.0,2.0,8.0,19.0,1.94,14.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,11.0,10.0,10.0,2.0,6.0,0.0,6.0,14.0,11.0,0.0,557.0,19.0,175.0,311.0,80.0,6.0,557.0,323.0,7.0,8.0,0.0,345.0,9.0,4.0,0.0,11.0,12.0,1.0,0.0,1.0,0.0,71.0,4.0,4.0,50.0
+"Eddie Salcedo,it ITA,""MF,FW"",Spezia,19,2001,12.0,5.0,429.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.5,1.5,0.31,0.31,4.8,4.0,1.0,25.0,0.84,0.0,0.0,0.09,-1.5,-1.5,100.0,148.0,67.6,1612.0,410.0,48.0,69.0,69.6,36.0,44.0,81.8,9.0,15.0,60.0,5.0,10.0,5.0,1.0,17.0,139.0,8.0,1.0,0.0,0.0,13.0,5.0,2.0,3.0,0.0,1.0,1.0,2.0,16.0,3.35,11.0,1.0,3.0,1.0,1.0,0.21,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,2.0,1.0,1.0,0.0,7.0,1.0,205.0,7.0,22.0,85.0,100.0,28.0,205.0,109.0,8.0,5.0,5.0,145.0,14.0,7.0,0.0,8.0,6.0,2.0,0.0,0.0,0.0,14.0,11.0,10.0,52.4"
+"Lazar Samardzic,de GER,""MF,FW"",Udinese,19,2002,22.0,1.0,490.0,2.0,2.0,0.0,0.0,0.0,0.0,0.37,0.37,0.73,0.37,0.73,1.0,1.0,0.19,0.19,5.4,6.0,1.0,35.3,1.1,0.12,0.33,0.06,1.0,1.0,200.0,258.0,77.5,3372.0,1147.0,102.0,121.0,84.3,66.0,81.0,81.5,25.0,44.0,56.8,19.0,18.0,6.0,1.0,22.0,214.0,43.0,16.0,4.0,6.0,32.0,21.0,11.0,5.0,0.0,5.0,1.0,2.0,40.0,7.35,20.0,12.0,1.0,2.0,5.0,0.92,0.0,3.0,0.0,0.0,0.0,13.0,9.0,4.0,7.0,2.0,6.0,0.0,6.0,2.0,2.0,0.0,338.0,5.0,38.0,148.0,158.0,13.0,338.0,173.0,10.0,7.0,5.0,203.0,14.0,8.0,0.0,11.0,3.0,0.0,0.0,0.0,0.0,33.0,6.0,5.0,54.5"
+Luigi Samele,it ITA,FW,Sassuolo,19,2002,2.0,0.0,5.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,18.0,18.0,0.0,18.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,3.0,66.7,16.0,3.0,2.0,3.0,66.7,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,1.0,18.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,4.0,1.0,2.0,0.0,2.0,1.0,4.0,2.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+Antonio Sanabria,py PAR,FW,Torino,25,1996,29.0,22.0,1803.0,6.0,1.0,0.0,0.0,3.0,0.0,0.3,0.05,0.35,0.3,0.35,8.3,8.3,0.41,0.41,20.0,19.0,1.0,38.8,0.95,0.12,0.32,0.17,-2.3,-2.3,348.0,482.0,72.2,4786.0,453.0,218.0,281.0,77.6,79.0,108.0,73.1,23.0,28.0,82.1,18.0,14.0,6.0,1.0,24.0,461.0,20.0,1.0,1.0,6.0,3.0,0.0,0.0,0.0,0.0,1.0,1.0,14.0,35.0,1.75,24.0,0.0,6.0,3.0,5.0,0.25,1.0,0.0,1.0,2.0,0.0,3.0,2.0,0.0,1.0,2.0,11.0,4.0,7.0,2.0,10.0,0.0,707.0,12.0,33.0,325.0,354.0,84.0,707.0,414.0,11.0,11.0,7.0,576.0,79.0,37.0,0.0,26.0,34.0,21.0,2.0,0.0,0.0,52.0,78.0,124.0,38.6
+Alexis Sánchez,cl CHI,FW,Inter,32,1988,27.0,7.0,881.0,5.0,2.0,0.0,0.0,0.0,0.0,0.51,0.2,0.72,0.51,0.72,4.3,4.3,0.44,0.44,9.8,13.0,1.0,39.4,1.33,0.15,0.38,0.13,0.7,0.7,348.0,456.0,76.3,5914.0,1714.0,174.0,206.0,84.5,109.0,141.0,77.3,47.0,75.0,62.7,20.0,32.0,30.0,5.0,76.0,420.0,33.0,10.0,5.0,8.0,35.0,19.0,8.0,5.0,0.0,0.0,3.0,9.0,53.0,5.44,38.0,6.0,3.0,2.0,6.0,0.62,5.0,1.0,0.0,0.0,0.0,9.0,8.0,0.0,6.0,3.0,4.0,0.0,4.0,2.0,3.0,0.0,565.0,4.0,33.0,237.0,299.0,51.0,565.0,363.0,22.0,14.0,9.0,436.0,22.0,14.0,0.0,10.0,21.0,8.0,0.0,0.0,0.0,36.0,10.0,16.0,38.5
+Alex Sandro,br BRA,DF,Juventus,30,1991,28.0,17.0,1780.0,0.0,1.0,0.0,0.0,3.0,0.0,0.0,0.05,0.05,0.0,0.05,0.9,0.9,0.04,0.04,19.8,2.0,0.0,22.2,0.1,0.0,0.0,0.1,-0.9,-0.9,918.0,1096.0,83.8,16222.0,5459.0,396.0,440.0,90.0,420.0,489.0,85.9,84.0,119.0,70.6,23.0,73.0,26.0,10.0,80.0,960.0,132.0,21.0,0.0,8.0,35.0,0.0,0.0,0.0,0.0,109.0,4.0,15.0,42.0,2.12,36.0,1.0,0.0,3.0,7.0,0.35,6.0,0.0,0.0,1.0,0.0,27.0,16.0,15.0,9.0,3.0,17.0,6.0,11.0,27.0,40.0,0.0,1288.0,84.0,411.0,568.0,321.0,37.0,1288.0,725.0,68.0,32.0,9.0,835.0,15.0,20.0,0.0,31.0,34.0,1.0,1.0,0.0,1.0,113.0,31.0,20.0,60.8
+"Nicola Sansone,it ITA,""FW,MF"",Bologna,29,1991,27.0,6.0,896.0,2.0,3.0,0.0,0.0,6.0,0.0,0.2,0.3,0.5,0.2,0.5,3.5,3.5,0.35,0.35,10.0,6.0,1.0,25.0,0.6,0.08,0.33,0.14,-1.5,-1.5,236.0,336.0,70.2,3516.0,1020.0,126.0,152.0,82.9,65.0,91.0,71.4,23.0,50.0,46.0,16.0,15.0,12.0,8.0,22.0,287.0,49.0,18.0,4.0,1.0,52.0,25.0,16.0,4.0,0.0,4.0,0.0,10.0,37.0,3.72,18.0,10.0,5.0,3.0,6.0,0.6,2.0,1.0,1.0,2.0,0.0,13.0,7.0,5.0,6.0,2.0,1.0,0.0,1.0,4.0,2.0,0.0,443.0,3.0,60.0,167.0,221.0,26.0,443.0,286.0,21.0,20.0,8.0,326.0,23.0,15.0,0.0,16.0,21.0,6.0,2.0,0.0,0.0,52.0,7.0,18.0,28.0"
+"Federico Santander,py PAR,""FW,DF"",Bologna,30,1991,7.0,0.0,67.0,1.0,0.0,0.0,0.0,1.0,0.0,1.34,0.0,1.34,1.34,1.34,0.6,0.6,0.83,0.83,0.7,1.0,0.0,50.0,1.34,0.5,1.0,0.31,0.4,0.4,17.0,29.0,58.6,242.0,48.0,10.0,16.0,62.5,5.0,6.0,83.3,1.0,1.0,100.0,1.0,2.0,1.0,0.0,3.0,27.0,2.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,4.03,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,1.0,2.0,16.0,20.0,4.0,37.0,19.0,0.0,0.0,0.0,33.0,1.0,3.0,0.0,2.0,5.0,0.0,0.0,0.0,0.0,3.0,8.0,7.0,53.3"
+Samir Santos,br BRA,DF,Udinese,26,1994,17.0,17.0,1421.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.05,0.05,15.8,3.0,0.0,42.9,0.19,0.0,0.0,0.11,-0.8,-0.8,535.0,688.0,77.8,9395.0,3682.0,235.0,269.0,87.4,243.0,287.0,84.7,47.0,106.0,44.3,3.0,32.0,3.0,2.0,46.0,621.0,66.0,26.0,0.0,4.0,12.0,0.0,0.0,0.0,0.0,37.0,1.0,11.0,12.0,0.76,8.0,1.0,2.0,0.0,2.0,0.13,1.0,0.0,1.0,0.0,0.0,36.0,16.0,22.0,13.0,1.0,21.0,7.0,14.0,42.0,62.0,0.0,878.0,95.0,418.0,410.0,56.0,9.0,878.0,442.0,14.0,10.0,1.0,477.0,9.0,3.0,0.0,33.0,16.0,0.0,0.0,0.0,0.0,77.0,40.0,17.0,70.2
+Riccardo Saponara,it ITA,FW,Fiorentina,29,1991,29.0,13.0,1284.0,3.0,3.0,0.0,0.0,1.0,0.0,0.21,0.21,0.42,0.21,0.42,2.2,2.2,0.15,0.15,14.3,14.0,0.0,37.8,0.98,0.08,0.21,0.06,0.8,0.8,427.0,555.0,76.9,7378.0,1930.0,204.0,249.0,81.9,171.0,208.0,82.2,40.0,55.0,72.7,20.0,39.0,25.0,7.0,93.0,545.0,8.0,5.0,0.0,13.0,28.0,1.0,0.0,0.0,0.0,2.0,2.0,19.0,63.0,4.41,47.0,0.0,5.0,6.0,8.0,0.56,6.0,0.0,1.0,1.0,0.0,10.0,2.0,1.0,6.0,3.0,5.0,0.0,5.0,1.0,3.0,0.0,713.0,7.0,88.0,294.0,338.0,71.0,713.0,501.0,84.0,52.0,29.0,583.0,32.0,19.0,0.0,6.0,24.0,4.0,1.0,0.0,0.0,59.0,5.0,9.0,35.7
+Giacomo Satalino,it ITA,GK,Sassuolo,22,1999,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,22.0,22.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Martin Satriano,uy URU,""FW,MF"",Inter,20,2001,4.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,11.0,72.7,95.0,12.0,6.0,9.0,66.7,2.0,2.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.37,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,0.0,2.0,4.0,9.0,1.0,14.0,8.0,0.0,1.0,1.0,8.0,2.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,3.0,25.0"
+"Giorgio Scalvini,it ITA,""DF,MF"",Atalanta,17,2003,18.0,9.0,763.0,1.0,0.0,0.0,0.0,1.0,0.0,0.12,0.0,0.12,0.12,0.12,1.3,1.3,0.16,0.16,8.5,3.0,0.0,18.8,0.35,0.06,0.33,0.08,-0.3,-0.3,405.0,497.0,81.5,6846.0,2737.0,201.0,221.0,91.0,167.0,195.0,85.6,29.0,61.0,47.5,5.0,43.0,5.0,0.0,53.0,474.0,22.0,14.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,8.0,1.0,4.0,16.0,1.89,11.0,0.0,2.0,0.0,1.0,0.12,1.0,0.0,0.0,0.0,0.0,22.0,11.0,13.0,8.0,1.0,12.0,1.0,11.0,22.0,16.0,0.0,599.0,22.0,223.0,276.0,104.0,26.0,599.0,322.0,9.0,7.0,2.0,385.0,13.0,6.0,0.0,15.0,7.0,0.0,0.0,0.0,0.0,56.0,20.0,17.0,54.1"
+Gianluca Scamacca,it ITA,FW,Sassuolo,22,1999,36.0,25.0,2146.0,16.0,0.0,1.0,1.0,7.0,0.0,0.67,0.0,0.67,0.63,0.63,11.0,10.2,0.46,0.43,23.8,36.0,1.0,46.2,1.51,0.19,0.42,0.13,5.0,4.8,399.0,550.0,72.5,5604.0,916.0,243.0,304.0,79.9,104.0,144.0,72.2,26.0,38.0,68.4,25.0,23.0,11.0,0.0,36.0,498.0,51.0,0.0,3.0,6.0,11.0,0.0,0.0,0.0,0.0,0.0,1.0,14.0,57.0,2.39,47.0,0.0,5.0,2.0,6.0,0.25,4.0,0.0,1.0,0.0,0.0,19.0,14.0,2.0,5.0,12.0,16.0,1.0,15.0,5.0,22.0,1.0,808.0,26.0,62.0,413.0,342.0,89.0,807.0,461.0,21.0,22.0,6.0,630.0,74.0,49.0,0.0,49.0,20.0,10.0,0.0,0.0,0.0,46.0,51.0,39.0,56.7
+Andrea Schiavone,it ITA,MF,Salernitana,28,1993,14.0,5.0,571.0,1.0,0.0,0.0,0.0,1.0,0.0,0.16,0.0,0.16,0.16,0.16,0.2,0.2,0.02,0.02,6.3,1.0,0.0,50.0,0.16,0.5,1.0,0.08,0.8,0.8,199.0,243.0,81.9,3724.0,1264.0,82.0,89.0,92.1,82.0,92.0,89.1,29.0,49.0,59.2,11.0,21.0,3.0,0.0,19.0,206.0,37.0,15.0,0.0,3.0,29.0,20.0,6.0,13.0,0.0,2.0,0.0,3.0,17.0,2.66,6.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,14.0,8.0,5.0,9.0,0.0,13.0,3.0,10.0,8.0,12.0,0.0,305.0,20.0,63.0,183.0,59.0,8.0,305.0,135.0,5.0,3.0,0.0,152.0,8.0,1.0,0.0,10.0,5.0,0.0,0.0,0.0,0.0,29.0,3.0,3.0,50.0
+David Schnegg,at AUT,DF,Venezia,22,1998,4.0,2.0,142.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,57.0,87.0,65.5,1058.0,511.0,24.0,26.0,92.3,28.0,40.0,70.0,5.0,19.0,26.3,1.0,2.0,1.0,1.0,1.0,70.0,17.0,0.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,17.0,0.0,0.0,3.0,1.91,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,1.0,0.0,4.0,0.0,4.0,3.0,6.0,0.0,112.0,8.0,55.0,41.0,20.0,0.0,112.0,63.0,2.0,1.0,0.0,58.0,3.0,5.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,16.0,2.0,3.0,40.0
+Jerdy Schouten,nl NED,MF,Bologna,24,1997,17.0,16.0,1392.0,1.0,1.0,0.0,0.0,4.0,1.0,0.06,0.06,0.13,0.06,0.13,0.2,0.2,0.01,0.01,15.5,1.0,0.0,16.7,0.06,0.17,1.0,0.03,0.8,0.8,665.0,790.0,84.2,10733.0,3656.0,336.0,380.0,88.4,253.0,292.0,86.6,51.0,64.0,79.7,12.0,85.0,11.0,0.0,82.0,772.0,13.0,6.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,5.0,11.0,36.0,2.33,33.0,0.0,0.0,2.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,25.0,17.0,10.0,12.0,3.0,22.0,5.0,17.0,33.0,29.0,1.0,968.0,63.0,279.0,547.0,148.0,4.0,968.0,447.0,9.0,13.0,1.0,601.0,25.0,11.0,1.0,17.0,7.0,0.0,0.0,0.0,0.0,102.0,28.0,18.0,60.9
+"Demba Seck,sn SEN,""MF,FW"",Torino,20,2001,6.0,1.0,146.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.39,0.39,1.6,3.0,0.0,75.0,1.85,0.0,0.0,0.16,-0.6,-0.6,34.0,43.0,79.1,457.0,57.0,18.0,23.0,78.3,10.0,11.0,90.9,2.0,2.0,100.0,0.0,3.0,1.0,0.0,3.0,42.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,5.0,3.08,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,60.0,0.0,2.0,25.0,33.0,10.0,60.0,42.0,6.0,2.0,6.0,46.0,4.0,2.0,0.0,2.0,2.0,2.0,0.0,0.0,0.0,5.0,1.0,3.0,25.0"
+Adrian Šemper,hr CRO,GK,Genoa,23,1998,1.0,1.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,37.0,54.1,675.0,535.0,3.0,3.0,100.0,7.0,8.0,87.5,10.0,26.0,38.5,0.0,0.0,0.0,0.0,0.0,29.0,8.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,39.0,35.0,39.0,0.0,0.0,0.0,39.0,25.0,0.0,0.0,0.0,18.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0
+"Stefano Sensi,it ITA,""MF,FW"",Sampdoria,25,1995,11.0,10.0,754.0,1.0,0.0,0.0,0.0,1.0,0.0,0.12,0.0,0.12,0.12,0.12,1.1,1.1,0.13,0.13,8.4,4.0,0.0,40.0,0.48,0.1,0.25,0.11,-0.1,-0.1,319.0,392.0,81.4,5388.0,1162.0,147.0,163.0,90.2,133.0,152.0,87.5,30.0,44.0,68.2,9.0,24.0,3.0,0.0,34.0,375.0,15.0,9.0,1.0,3.0,6.0,1.0,0.0,1.0,0.0,2.0,2.0,9.0,15.0,1.79,12.0,0.0,2.0,0.0,2.0,0.24,1.0,0.0,1.0,0.0,0.0,18.0,9.0,10.0,6.0,2.0,2.0,0.0,2.0,6.0,4.0,0.0,488.0,10.0,78.0,258.0,160.0,15.0,488.0,305.0,16.0,19.0,1.0,352.0,17.0,16.0,0.0,18.0,24.0,0.0,0.0,0.0,0.0,48.0,8.0,4.0,66.7"
+"Stefano Sensi,it ITA,""MF,FW"",Inter,25,1995,9.0,1.0,167.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.21,0.21,1.9,0.0,0.0,0.0,0.0,0.0,0.0,0.13,-0.4,-0.4,113.0,129.0,87.6,1806.0,343.0,62.0,67.0,92.5,43.0,49.0,87.8,7.0,8.0,87.5,4.0,11.0,2.0,1.0,13.0,126.0,2.0,1.0,0.0,3.0,2.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,9.0,4.97,6.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,3.0,1.0,3.0,0.0,2.0,0.0,2.0,0.0,2.0,0.0,154.0,0.0,19.0,81.0,56.0,8.0,154.0,106.0,7.0,5.0,0.0,125.0,6.0,4.0,0.0,4.0,5.0,1.0,0.0,0.0,0.0,14.0,2.0,2.0,50.0"
+Luigi Sepe,it ITA,GK,Salernitana,30,1991,16.0,16.0,1392.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,398.0,566.0,70.3,14404.0,12454.0,59.0,60.0,98.3,127.0,130.0,97.7,210.0,371.0,56.6,0.0,23.0,1.0,0.0,1.0,367.0,196.0,66.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,7.0,0.45,5.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.0,604.0,490.0,596.0,8.0,0.0,0.0,604.0,318.0,0.0,2.0,2.0,240.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,20.0,3.0,0.0,100.0
+Laurens Serpe,it ITA,DF,Genoa,20,2001,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26.0,31.0,83.9,508.0,84.0,6.0,6.0,100.0,17.0,18.0,94.4,3.0,5.0,60.0,0.0,4.0,0.0,0.0,5.0,30.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,37.0,4.0,15.0,19.0,3.0,1.0,37.0,23.0,2.0,2.0,0.0,31.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0
+"Stephan El Shaarawy,it ITA,""FW,DF"",Roma,28,1992,27.0,8.0,1055.0,3.0,0.0,0.0,0.0,1.0,0.0,0.26,0.0,0.26,0.26,0.26,2.7,2.7,0.23,0.23,11.7,12.0,1.0,30.8,1.02,0.08,0.25,0.07,0.3,0.3,482.0,583.0,82.7,8215.0,2106.0,239.0,274.0,87.2,196.0,228.0,86.0,41.0,55.0,74.5,31.0,30.0,31.0,2.0,78.0,531.0,51.0,5.0,4.0,7.0,18.0,0.0,0.0,0.0,0.0,46.0,1.0,11.0,51.0,4.35,43.0,0.0,3.0,1.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,13.0,8.0,4.0,9.0,0.0,10.0,2.0,8.0,11.0,8.0,0.0,727.0,8.0,96.0,316.0,326.0,61.0,727.0,425.0,58.0,42.0,20.0,495.0,22.0,13.0,0.0,8.0,12.0,3.0,0.0,0.0,0.0,63.0,14.0,15.0,48.3"
+Aimar Sher,se SWE,MF,Spezia,18,2002,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,21.0,90.5,268.0,75.0,12.0,12.0,100.0,6.0,7.0,85.7,0.0,0.0,0.0,0.0,4.0,1.0,0.0,3.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,3.0,1.0,0.0,30.0,1.0,8.0,18.0,4.0,0.0,30.0,11.0,0.0,2.0,0.0,13.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,50.0
+"Eldor Shomurodov,uz UZB,""FW,MF"",Roma,26,1995,28.0,5.0,784.0,3.0,4.0,0.0,0.0,2.0,0.0,0.34,0.46,0.8,0.34,0.8,4.3,4.3,0.49,0.49,8.7,11.0,0.0,35.5,1.26,0.1,0.27,0.14,-1.3,-1.3,152.0,225.0,67.6,1885.0,501.0,107.0,141.0,75.9,33.0,49.0,67.3,3.0,6.0,50.0,20.0,13.0,5.0,2.0,17.0,217.0,6.0,0.0,1.0,0.0,11.0,0.0,0.0,0.0,0.0,3.0,2.0,9.0,30.0,3.45,29.0,0.0,0.0,0.0,5.0,0.57,4.0,0.0,0.0,0.0,0.0,5.0,4.0,0.0,4.0,1.0,8.0,0.0,8.0,2.0,5.0,0.0,341.0,3.0,24.0,130.0,191.0,69.0,341.0,179.0,28.0,15.0,12.0,248.0,22.0,16.0,0.0,16.0,6.0,4.0,0.0,0.0,0.0,28.0,22.0,33.0,40.0"
+Alassane Sidibe,ci CIV,MF,Atalanta,19,2002,1.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,50.0,15.0,0.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,2.0,1.0,1.0,0.0,4.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+"Arnór Sigurðsson,is ISL,""FW,MF"",Venezia,22,1999,9.0,0.0,183.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.04,0.04,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09,-0.1,-0.1,39.0,53.0,73.6,495.0,126.0,24.0,29.0,82.8,9.0,13.0,69.2,2.0,4.0,50.0,2.0,4.0,0.0,0.0,4.0,49.0,3.0,0.0,0.0,0.0,3.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,4.0,1.98,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,74.0,0.0,9.0,32.0,35.0,5.0,74.0,55.0,6.0,1.0,1.0,50.0,7.0,5.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,12.0,0.0,7.0,0.0"
+Adrien Silva,pt POR,MF,Sampdoria,32,1989,17.0,12.0,1083.0,0.0,1.0,0.0,0.0,3.0,1.0,0.0,0.08,0.08,0.0,0.08,0.3,0.3,0.03,0.03,12.0,2.0,0.0,25.0,0.17,0.0,0.0,0.04,-0.3,-0.3,512.0,603.0,84.9,9444.0,2428.0,204.0,235.0,86.8,232.0,263.0,88.2,59.0,73.0,80.8,8.0,40.0,6.0,3.0,57.0,577.0,24.0,22.0,0.0,13.0,6.0,0.0,0.0,0.0,0.0,2.0,2.0,10.0,23.0,1.91,20.0,1.0,2.0,0.0,3.0,0.25,2.0,0.0,1.0,0.0,0.0,24.0,12.0,14.0,5.0,5.0,15.0,5.0,10.0,23.0,23.0,0.0,750.0,40.0,197.0,461.0,99.0,6.0,750.0,418.0,14.0,8.0,1.0,442.0,22.0,11.0,0.0,13.0,17.0,0.0,0.0,0.0,0.0,97.0,11.0,11.0,50.0
+Marco Silvestri,it ITA,GK,Udinese,30,1991,35.0,35.0,3150.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,35.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,642.0,942.0,68.2,18568.0,14841.0,153.0,153.0,100.0,267.0,270.0,98.9,216.0,500.0,43.2,2.0,13.0,0.0,0.0,0.0,587.0,342.0,90.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,2.0,0.06,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,11.0,1.0,1021.0,914.0,1018.0,3.0,0.0,0.0,1021.0,486.0,0.0,0.0,0.0,388.0,0.0,0.0,0.0,1.0,6.0,0.0,0.0,1.0,0.0,27.0,7.0,0.0,100.0
+Giovanni Simeone,ar ARG,FW,Hellas Verona,26,1995,35.0,32.0,2653.0,17.0,5.0,0.0,1.0,8.0,0.0,0.58,0.17,0.75,0.58,0.75,10.3,9.5,0.35,0.32,29.5,32.0,0.0,46.4,1.09,0.25,0.53,0.14,6.7,7.5,465.0,679.0,68.5,5771.0,916.0,305.0,394.0,77.4,85.0,126.0,67.5,25.0,39.0,64.1,24.0,21.0,18.0,4.0,40.0,628.0,49.0,0.0,4.0,5.0,26.0,0.0,0.0,0.0,0.0,0.0,2.0,36.0,58.0,1.97,41.0,0.0,7.0,5.0,9.0,0.31,7.0,0.0,1.0,1.0,0.0,27.0,15.0,6.0,12.0,9.0,37.0,3.0,34.0,6.0,23.0,0.0,1099.0,28.0,94.0,458.0,563.0,142.0,1098.0,653.0,40.0,34.0,16.0,862.0,136.0,80.0,0.0,56.0,58.0,34.0,1.0,0.0,0.0,81.0,60.0,108.0,35.7
+Giovanni Simeone,ar ARG,FW,Cagliari,26,1995,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,4.0,50.0,26.0,10.0,1.0,2.0,50.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,3.0,2.0,2.0,5.0,4.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0
+Wilfried Singo,ci CIV,DF,Torino,20,2000,35.0,32.0,2607.0,3.0,4.0,0.0,0.0,5.0,1.0,0.1,0.14,0.24,0.1,0.24,2.6,2.6,0.09,0.09,29.0,7.0,0.0,17.1,0.24,0.07,0.43,0.06,0.4,0.4,1065.0,1397.0,76.2,17613.0,5734.0,506.0,579.0,87.4,459.0,574.0,80.0,74.0,147.0,50.3,23.0,63.0,31.0,15.0,89.0,1127.0,263.0,16.0,1.0,7.0,80.0,0.0,0.0,0.0,0.0,247.0,7.0,44.0,58.0,2.0,43.0,2.0,6.0,4.0,6.0,0.21,6.0,0.0,0.0,0.0,0.0,55.0,35.0,24.0,24.0,7.0,26.0,6.0,20.0,23.0,47.0,0.0,1773.0,66.0,339.0,804.0,654.0,71.0,1773.0,974.0,69.0,56.0,18.0,1038.0,66.0,18.0,0.0,43.0,59.0,8.0,0.0,0.0,0.0,170.0,42.0,33.0,56.0
+Salvatore Sirigu,it ITA,GK,Genoa,34,1987,37.0,37.0,3330.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,37.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,777.0,1182.0,65.7,24637.0,19024.0,141.0,142.0,99.3,264.0,270.0,97.8,370.0,764.0,48.4,0.0,17.0,0.0,0.0,0.0,799.0,380.0,117.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,4.0,0.11,2.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,2.0,1282.0,1064.0,1277.0,5.0,0.0,0.0,1282.0,695.0,0.0,0.0,0.0,552.0,1.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,1.0,28.0,5.0,0.0,100.0
+Leo Skiri Østigård,no NOR,DF,Genoa,21,1999,15.0,13.0,1172.0,0.0,0.0,0.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,0.0,0.3,0.3,0.02,0.02,13.0,1.0,0.0,14.3,0.08,0.0,0.0,0.04,-0.3,-0.3,392.0,556.0,70.5,7513.0,3419.0,152.0,185.0,82.2,192.0,257.0,74.7,43.0,99.0,43.4,2.0,36.0,1.0,0.0,38.0,538.0,16.0,14.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,12.0,0.92,10.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,16.0,9.0,8.0,7.0,1.0,17.0,10.0,7.0,8.0,55.0,1.0,678.0,96.0,342.0,309.0,32.0,15.0,678.0,318.0,10.0,3.0,1.0,326.0,3.0,0.0,1.0,15.0,6.0,3.0,0.0,0.0,0.0,85.0,63.0,19.0,76.8
+Łukasz Skorupski,pl POL,GK,Bologna,30,1991,36.0,36.0,3240.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,944.0,1253.0,75.3,24480.0,17480.0,214.0,214.0,100.0,322.0,334.0,96.4,336.0,629.0,53.4,0.0,5.0,0.0,0.0,0.0,835.0,415.0,121.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,1.0,0.03,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,17.0,0.0,1349.0,1177.0,1346.0,3.0,0.0,0.0,1349.0,680.0,0.0,0.0,0.0,567.0,0.0,0.0,0.0,2.0,5.0,0.0,0.0,2.0,0.0,40.0,15.0,1.0,93.8
+"Andreas Skov Olsen,dk DEN,""FW,DF"",Bologna,21,1999,18.0,6.0,747.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.24,0.24,0.0,0.24,0.9,0.9,0.11,0.11,8.3,2.0,0.0,28.6,0.24,0.0,0.0,0.12,-0.9,-0.9,304.0,400.0,76.0,4310.0,1374.0,186.0,215.0,86.5,88.0,113.0,77.9,21.0,50.0,42.0,8.0,13.0,8.0,6.0,19.0,333.0,65.0,6.0,1.0,0.0,37.0,17.0,7.0,0.0,0.0,42.0,2.0,7.0,23.0,2.77,17.0,3.0,1.0,1.0,6.0,0.72,3.0,1.0,0.0,1.0,0.0,12.0,10.0,4.0,4.0,4.0,9.0,1.0,8.0,3.0,11.0,0.0,491.0,12.0,90.0,203.0,202.0,19.0,491.0,253.0,29.0,24.0,8.0,325.0,19.0,5.0,0.0,4.0,15.0,0.0,0.0,0.0,0.0,48.0,4.0,10.0,28.6"
+Milan Škriniar,sk SVK,DF,Inter,26,1995,35.0,35.0,3150.0,3.0,0.0,0.0,0.0,3.0,0.0,0.09,0.0,0.09,0.09,0.09,3.2,3.2,0.09,0.09,35.0,7.0,0.0,28.0,0.2,0.12,0.43,0.13,-0.2,-0.2,1982.0,2134.0,92.9,36137.0,10294.0,791.0,843.0,93.8,967.0,1009.0,95.8,199.0,238.0,83.6,9.0,105.0,11.0,2.0,100.0,2051.0,82.0,49.0,3.0,17.0,3.0,0.0,0.0,0.0,0.0,30.0,1.0,6.0,38.0,1.09,29.0,0.0,5.0,3.0,2.0,0.06,2.0,0.0,0.0,0.0,0.0,47.0,27.0,26.0,17.0,4.0,36.0,25.0,11.0,25.0,90.0,1.0,2419.0,282.0,1164.0,1076.0,191.0,37.0,2419.0,1468.0,34.0,22.0,0.0,1792.0,16.0,7.0,0.0,43.0,23.0,2.0,0.0,1.0,0.0,160.0,51.0,52.0,49.5
+Chris Smalling,eng ENG,DF,Roma,31,1989,27.0,23.0,2091.0,3.0,0.0,0.0,0.0,0.0,0.0,0.13,0.0,0.13,0.13,0.13,2.4,2.4,0.1,0.1,23.2,3.0,0.0,30.0,0.13,0.3,1.0,0.24,0.6,0.6,932.0,1053.0,88.5,19200.0,6205.0,222.0,259.0,85.7,614.0,650.0,94.5,92.0,127.0,72.4,2.0,26.0,2.0,0.0,39.0,1020.0,31.0,25.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,5.0,2.0,5.0,8.0,0.34,6.0,0.0,2.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,36.0,23.0,28.0,8.0,0.0,32.0,24.0,8.0,26.0,92.0,1.0,1268.0,172.0,711.0,533.0,34.0,23.0,1268.0,672.0,4.0,3.0,0.0,790.0,6.0,1.0,0.0,9.0,17.0,0.0,0.0,0.0,1.0,106.0,49.0,13.0,79.0
+"Brandon Soppy,fr FRA,""DF,MF"",Udinese,19,2002,28.0,7.0,777.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,8.6,2.0,0.0,33.3,0.23,0.0,0.0,0.07,-0.4,-0.4,167.0,236.0,70.8,2349.0,827.0,103.0,120.0,85.8,50.0,66.0,75.8,6.0,14.0,42.9,6.0,9.0,7.0,1.0,17.0,205.0,30.0,5.0,0.0,1.0,13.0,1.0,0.0,0.0,0.0,24.0,1.0,18.0,15.0,1.74,7.0,0.0,1.0,5.0,2.0,0.23,0.0,0.0,1.0,1.0,0.0,20.0,9.0,8.0,10.0,2.0,10.0,2.0,8.0,5.0,9.0,1.0,356.0,18.0,87.0,146.0,131.0,22.0,356.0,205.0,25.0,20.0,9.0,203.0,16.0,8.0,0.0,23.0,33.0,0.0,0.0,0.0,0.0,47.0,6.0,13.0,31.6"
+Roberto Soriano,it ITA,MF,Bologna,30,1991,35.0,32.0,2622.0,0.0,4.0,0.0,0.0,6.0,2.0,0.0,0.14,0.14,0.0,0.14,2.1,2.1,0.07,0.07,29.1,8.0,0.0,34.8,0.27,0.0,0.0,0.09,-2.1,-2.1,1019.0,1270.0,80.2,14115.0,4850.0,617.0,704.0,87.6,291.0,360.0,80.8,52.0,85.0,61.2,48.0,110.0,42.0,9.0,134.0,1245.0,18.0,9.0,12.0,6.0,34.0,0.0,0.0,0.0,0.0,9.0,7.0,27.0,102.0,3.5,90.0,1.0,4.0,4.0,10.0,0.34,10.0,0.0,0.0,0.0,0.0,57.0,30.0,27.0,22.0,8.0,37.0,3.0,34.0,22.0,32.0,0.0,1555.0,48.0,263.0,813.0,497.0,54.0,1555.0,901.0,48.0,53.0,8.0,1154.0,44.0,14.0,1.0,49.0,47.0,3.0,0.0,1.0,0.0,139.0,24.0,46.0,34.3
+Riccardo Sottil,it ITA,FW,Fiorentina,22,1999,24.0,14.0,1239.0,3.0,2.0,0.0,0.0,4.0,1.0,0.22,0.15,0.36,0.22,0.36,2.5,2.5,0.18,0.18,13.8,10.0,1.0,45.5,0.73,0.14,0.3,0.11,0.5,0.5,296.0,386.0,76.7,5041.0,737.0,147.0,169.0,87.0,119.0,152.0,78.3,26.0,38.0,68.4,14.0,9.0,19.0,6.0,39.0,380.0,5.0,1.0,0.0,3.0,47.0,0.0,0.0,0.0,0.0,3.0,1.0,15.0,34.0,2.47,22.0,0.0,3.0,4.0,4.0,0.29,3.0,0.0,0.0,0.0,1.0,9.0,4.0,4.0,4.0,1.0,3.0,0.0,3.0,1.0,2.0,0.0,519.0,3.0,34.0,195.0,302.0,47.0,519.0,397.0,81.0,44.0,22.0,446.0,26.0,15.0,1.0,15.0,40.0,7.0,0.0,0.0,0.0,32.0,7.0,13.0,35.0
+Matìas Soulé,ar ARG,FW,Juventus,18,2003,2.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,1.47,1.47,0.1,0.0,1.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,7.0,7.0,100.0,112.0,18.0,3.0,3.0,100.0,2.0,2.0,100.0,1.0,1.0,100.0,0.0,2.0,0.0,0.0,2.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,36.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,6.0,2.0,0.0,8.0,7.0,1.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0
+Adama Soumaoro,fr FRA,DF,Bologna,29,1992,28.0,26.0,2266.0,0.0,0.0,0.0,0.0,6.0,2.0,0.0,0.0,0.0,0.0,0.0,0.9,0.9,0.03,0.03,25.2,2.0,0.0,25.0,0.08,0.0,0.0,0.11,-0.9,-0.9,930.0,1043.0,89.2,15111.0,5118.0,438.0,472.0,92.8,418.0,464.0,90.1,49.0,63.0,77.8,1.0,43.0,2.0,0.0,61.0,989.0,53.0,41.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,12.0,1.0,11.0,12.0,0.48,11.0,0.0,1.0,0.0,1.0,0.04,1.0,0.0,0.0,0.0,0.0,15.0,5.0,5.0,8.0,2.0,22.0,16.0,6.0,34.0,95.0,0.0,1253.0,136.0,563.0,616.0,80.0,17.0,1253.0,628.0,16.0,20.0,1.0,766.0,13.0,5.0,0.0,24.0,16.0,1.0,0.0,1.0,1.0,108.0,45.0,16.0,73.8
+Leonardo Spinazzola,it ITA,DF,Roma,28,1993,3.0,2.0,127.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.4,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,63.0,74.0,85.1,1141.0,299.0,27.0,29.0,93.1,28.0,31.0,90.3,7.0,10.0,70.0,1.0,7.0,3.0,2.0,4.0,58.0,15.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,15.0,1.0,2.0,5.0,3.54,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,1.0,3.0,0.0,3.0,0.0,91.0,5.0,26.0,36.0,29.0,2.0,91.0,53.0,4.0,0.0,2.0,57.0,3.0,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0
+Marco Sportiello,it ITA,GK,Atalanta,29,1992,5.0,5.0,450.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,104.0,135.0,77.0,2540.0,1626.0,18.0,18.0,100.0,59.0,60.0,98.3,26.0,55.0,47.3,0.0,0.0,0.0,0.0,0.0,97.0,38.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.2,1.0,0.0,0.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,145.0,123.0,143.0,2.0,0.0,0.0,145.0,87.0,0.0,0.0,0.0,56.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,100.0
+Luca Stanga,it ITA,DF,Milan,19,2002,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,100.0,38.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,3.0,0.0,0.0,3.0,3.0,1.0,0.0,0.0,3.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Riccardo Stivanello,it ITA,DF,Bologna,17,2004,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,12.0,75.0,164.0,130.0,3.0,3.0,100.0,5.0,6.0,83.3,1.0,2.0,50.0,0.0,0.0,0.0,0.0,0.0,11.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,2.0,2.0,0.0,0.0,6.0,0.0,22.0,9.0,20.0,3.0,0.0,0.0,22.0,8.0,0.0,0.0,0.0,7.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,4.0,1.0,1.0,50.0
+Petar Stojanović,si SVN,DF,Empoli,25,1995,33.0,32.0,2735.0,1.0,1.0,0.0,0.0,11.0,1.0,0.03,0.03,0.07,0.03,0.07,0.6,0.6,0.02,0.02,30.4,4.0,0.0,36.4,0.13,0.09,0.25,0.05,0.4,0.4,1337.0,1721.0,77.7,22139.0,9227.0,669.0,746.0,89.7,527.0,661.0,79.7,110.0,200.0,55.0,35.0,106.0,62.0,14.0,174.0,1370.0,346.0,41.0,4.0,7.0,68.0,3.0,0.0,0.0,0.0,302.0,5.0,41.0,79.0,2.6,66.0,4.0,1.0,2.0,4.0,0.13,3.0,0.0,0.0,0.0,0.0,96.0,63.0,55.0,32.0,9.0,39.0,13.0,26.0,27.0,65.0,1.0,2084.0,114.0,596.0,933.0,583.0,45.0,2084.0,1112.0,94.0,72.0,23.0,1139.0,56.0,35.0,1.0,45.0,22.0,2.0,0.0,2.0,0.0,203.0,14.0,19.0,42.4
+Thomas Strakosha,al ALB,GK,Lazio,26,1995,23.0,23.0,2070.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,23.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,614.0,737.0,83.3,14988.0,10519.0,178.0,181.0,98.3,221.0,233.0,94.8,200.0,307.0,65.1,1.0,5.0,1.0,0.0,1.0,583.0,154.0,35.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,0.13,2.0,1.0,0.0,0.0,1.0,0.04,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,779.0,690.0,776.0,3.0,0.0,0.0,779.0,469.0,0.0,0.0,0.0,434.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,27.0,6.0,0.0,100.0
+Stefan Strandberg,no NOR,DF,Salernitana,31,1990,11.0,11.0,933.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.04,0.04,10.4,2.0,1.0,22.2,0.19,0.0,0.0,0.05,-0.4,-0.4,432.0,530.0,81.5,9166.0,4592.0,137.0,157.0,87.3,215.0,252.0,85.3,76.0,109.0,69.7,2.0,38.0,3.0,1.0,53.0,478.0,52.0,48.0,0.0,5.0,4.0,0.0,0.0,0.0,0.0,3.0,0.0,4.0,11.0,1.06,8.0,2.0,1.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,13.0,8.0,10.0,3.0,0.0,15.0,13.0,2.0,9.0,49.0,0.0,629.0,86.0,315.0,280.0,41.0,12.0,629.0,341.0,8.0,4.0,0.0,362.0,3.0,1.0,1.0,8.0,2.0,1.0,0.0,1.0,1.0,57.0,30.0,14.0,68.2
+"Dávid Strelec,sk SVK,""FW,MF"",Spezia,20,2001,10.0,7.0,502.0,1.0,0.0,0.0,0.0,0.0,0.0,0.18,0.0,0.18,0.18,0.18,0.5,0.5,0.08,0.08,5.6,3.0,0.0,75.0,0.54,0.25,0.33,0.12,0.5,0.5,99.0,141.0,70.2,1411.0,349.0,59.0,78.0,75.6,27.0,33.0,81.8,8.0,11.0,72.7,7.0,7.0,6.0,1.0,15.0,140.0,1.0,0.0,1.0,0.0,5.0,0.0,0.0,0.0,0.0,1.0,0.0,3.0,14.0,2.5,13.0,0.0,0.0,0.0,1.0,0.18,1.0,0.0,0.0,0.0,0.0,4.0,4.0,1.0,2.0,1.0,8.0,1.0,7.0,2.0,1.0,0.0,197.0,5.0,39.0,83.0,81.0,20.0,197.0,97.0,13.0,8.0,3.0,120.0,15.0,3.0,0.0,4.0,6.0,2.0,0.0,0.0,0.0,31.0,11.0,14.0,44.0"
+Kevin Strootman,nl NED,MF,Cagliari,31,1990,10.0,7.0,640.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.1,0.0,0.0,0.0,0.0,0.0,0.0,0.01,0.0,0.0,297.0,368.0,80.7,5406.0,1706.0,131.0,154.0,85.1,127.0,141.0,90.1,36.0,59.0,61.0,3.0,36.0,1.0,1.0,38.0,348.0,19.0,17.0,1.0,2.0,2.0,1.0,0.0,1.0,0.0,1.0,1.0,6.0,6.0,0.84,5.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,4.0,2.0,4.0,2.0,11.0,2.0,9.0,10.0,15.0,0.0,428.0,25.0,121.0,265.0,47.0,3.0,428.0,228.0,6.0,5.0,0.0,276.0,6.0,2.0,0.0,10.0,10.0,0.0,0.0,1.0,0.0,42.0,5.0,6.0,45.5
+Jens Stryger Larsen,dk DEN,DF,Udinese,30,1991,11.0,8.0,684.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.13,0.13,0.0,0.13,0.5,0.5,0.07,0.07,7.6,4.0,0.0,44.4,0.53,0.0,0.0,0.06,-0.5,-0.5,206.0,277.0,74.4,3033.0,1281.0,125.0,137.0,91.2,61.0,88.0,69.3,13.0,38.0,34.2,10.0,12.0,5.0,2.0,16.0,205.0,69.0,4.0,1.0,0.0,20.0,8.0,7.0,1.0,0.0,57.0,3.0,2.0,16.0,2.11,11.0,3.0,1.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,5.0,2.0,3.0,1.0,1.0,2.0,0.0,2.0,4.0,17.0,0.0,339.0,19.0,106.0,126.0,107.0,10.0,339.0,150.0,8.0,9.0,0.0,193.0,7.0,6.0,0.0,3.0,3.0,1.0,0.0,0.0,1.0,22.0,4.0,6.0,40.0
+Leo Štulac,si SVN,MF,Empoli,26,1994,23.0,8.0,833.0,2.0,2.0,0.0,0.0,1.0,0.0,0.22,0.22,0.43,0.22,0.43,0.2,0.2,0.03,0.03,9.3,3.0,2.0,33.3,0.32,0.22,0.67,0.03,1.8,1.8,379.0,483.0,78.5,6640.0,2384.0,156.0,167.0,93.4,172.0,202.0,85.1,34.0,76.0,44.7,10.0,36.0,5.0,0.0,43.0,427.0,48.0,28.0,2.0,1.0,25.0,20.0,5.0,11.0,0.0,0.0,8.0,6.0,21.0,2.28,15.0,5.0,0.0,0.0,4.0,0.43,4.0,0.0,0.0,0.0,0.0,13.0,6.0,5.0,6.0,2.0,6.0,2.0,4.0,8.0,15.0,0.0,554.0,33.0,165.0,301.0,93.0,0.0,554.0,298.0,5.0,4.0,0.0,381.0,7.0,4.0,0.0,7.0,16.0,0.0,0.0,0.0,0.0,49.0,5.0,6.0,45.5
+Stefano Sturaro,it ITA,MF,Genoa,28,1993,25.0,24.0,1766.0,0.0,0.0,0.0,0.0,12.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.03,0.03,19.6,0.0,0.0,0.0,0.0,0.0,0.0,0.06,-0.5,-0.5,376.0,607.0,61.9,5722.0,2240.0,207.0,272.0,76.1,121.0,188.0,64.4,32.0,70.0,45.7,8.0,31.0,17.0,5.0,62.0,582.0,21.0,7.0,0.0,2.0,37.0,6.0,1.0,5.0,0.0,8.0,4.0,27.0,30.0,1.53,20.0,0.0,1.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,43.0,26.0,16.0,16.0,11.0,25.0,1.0,24.0,15.0,29.0,2.0,818.0,45.0,180.0,407.0,238.0,24.0,818.0,335.0,10.0,11.0,3.0,416.0,30.0,25.0,0.0,53.0,37.0,4.0,0.0,0.0,0.0,96.0,50.0,50.0,50.0
+"Isaac Success,ng NGA,""FW,MF"",Udinese,25,1996,22.0,11.0,911.0,2.0,6.0,0.0,0.0,1.0,1.0,0.2,0.59,0.79,0.2,0.79,2.1,2.1,0.21,0.21,10.1,12.0,0.0,48.0,1.19,0.08,0.17,0.08,-0.1,-0.1,173.0,277.0,62.5,2668.0,709.0,102.0,143.0,71.3,50.0,77.0,64.9,15.0,28.0,53.6,16.0,14.0,6.0,0.0,22.0,270.0,1.0,0.0,8.0,2.0,6.0,0.0,0.0,0.0,0.0,1.0,6.0,12.0,42.0,4.15,28.0,0.0,3.0,4.0,8.0,0.79,8.0,0.0,0.0,0.0,0.0,5.0,2.0,0.0,3.0,2.0,2.0,0.0,2.0,2.0,6.0,0.0,399.0,8.0,24.0,156.0,225.0,53.0,399.0,282.0,16.0,12.0,7.0,355.0,37.0,27.0,0.0,24.0,39.0,5.0,0.0,1.0,0.0,26.0,16.0,36.0,30.8"
+Vladyslav Supriaha,ua UKR,FW,Sampdoria,21,2000,1.0,0.0,22.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,4.0,75.0,22.0,3.0,2.0,2.0,100.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,3.0,3.0,0.0,6.0,4.0,0.0,1.0,0.0,6.0,2.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Bosko Sutalo,hr CRO,DF,Hellas Verona,21,2000,24.0,6.0,920.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.02,0.02,10.2,1.0,0.0,20.0,0.1,0.0,0.0,0.03,-0.2,-0.2,369.0,482.0,76.6,6066.0,1954.0,189.0,224.0,84.4,124.0,151.0,82.1,40.0,70.0,57.1,1.0,21.0,3.0,1.0,33.0,441.0,41.0,12.0,0.0,4.0,10.0,0.0,0.0,0.0,0.0,29.0,0.0,10.0,6.0,0.59,6.0,0.0,0.0,0.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,20.0,13.0,11.0,6.0,3.0,10.0,5.0,5.0,17.0,39.0,0.0,622.0,58.0,259.0,276.0,93.0,8.0,622.0,298.0,15.0,10.0,1.0,314.0,18.0,6.0,0.0,12.0,9.0,1.0,0.0,0.0,0.0,81.0,20.0,26.0,43.5
+Mattias Svanberg,se SWE,MF,Bologna,22,1999,36.0,31.0,2564.0,3.0,3.0,0.0,0.0,7.0,0.0,0.11,0.11,0.21,0.11,0.21,2.1,2.1,0.07,0.07,28.5,13.0,2.0,33.3,0.46,0.08,0.23,0.05,0.9,0.9,766.0,1037.0,73.9,12390.0,4015.0,407.0,474.0,85.9,244.0,325.0,75.1,75.0,155.0,48.4,35.0,85.0,30.0,6.0,103.0,976.0,58.0,21.0,6.0,11.0,50.0,29.0,8.0,7.0,1.0,4.0,3.0,27.0,62.0,2.18,45.0,10.0,1.0,2.0,6.0,0.21,5.0,1.0,0.0,0.0,0.0,39.0,15.0,15.0,16.0,8.0,31.0,9.0,22.0,28.0,34.0,0.0,1327.0,45.0,269.0,700.0,372.0,30.0,1327.0,712.0,39.0,40.0,3.0,908.0,37.0,22.0,0.0,37.0,63.0,0.0,0.0,0.0,0.0,132.0,22.0,33.0,40.0
+Michael Svoboda,at AUT,DF,Venezia,22,1998,18.0,13.0,1236.0,0.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.08,0.08,13.7,0.0,0.0,0.0,0.0,0.0,0.0,0.15,-1.1,-1.1,508.0,623.0,81.5,10228.0,3799.0,184.0,202.0,91.1,240.0,268.0,89.6,77.0,127.0,60.6,0.0,26.0,1.0,0.0,42.0,597.0,26.0,25.0,0.0,10.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,12.0,6.0,0.44,5.0,0.0,0.0,0.0,1.0,0.07,1.0,0.0,0.0,0.0,0.0,33.0,17.0,26.0,6.0,1.0,27.0,15.0,12.0,10.0,61.0,5.0,771.0,125.0,420.0,334.0,29.0,13.0,771.0,437.0,11.0,8.0,0.0,441.0,6.0,6.0,0.0,9.0,4.0,0.0,0.0,2.0,0.0,98.0,26.0,27.0,49.1
+Wojciech Szczęsny,pl POL,GK,Juventus,31,1990,33.0,33.0,2970.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,830.0,1011.0,82.1,22169.0,14526.0,131.0,131.0,100.0,434.0,438.0,99.1,263.0,433.0,60.7,3.0,9.0,0.0,0.0,0.0,781.0,227.0,55.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,7.0,0.21,6.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,1.0,1063.0,903.0,1053.0,10.0,0.0,0.0,1063.0,657.0,0.0,0.0,0.0,562.0,0.0,0.0,0.0,2.0,4.0,0.0,0.0,2.0,0.0,29.0,9.0,0.0,100.0
+"Adrien Tameze,cm CMR,""MF,DF"",Hellas Verona,27,1994,38.0,26.0,2574.0,4.0,2.0,0.0,0.0,4.0,0.0,0.14,0.07,0.21,0.14,0.21,1.2,1.2,0.04,0.04,28.6,7.0,0.0,30.4,0.24,0.17,0.57,0.05,2.8,2.8,1028.0,1295.0,79.4,16802.0,5580.0,514.0,602.0,85.4,390.0,465.0,83.9,86.0,137.0,62.8,28.0,108.0,22.0,6.0,134.0,1217.0,74.0,33.0,3.0,10.0,31.0,0.0,0.0,0.0,0.0,41.0,4.0,20.0,63.0,2.2,52.0,1.0,1.0,1.0,6.0,0.21,5.0,0.0,0.0,0.0,0.0,52.0,29.0,24.0,21.0,7.0,40.0,5.0,35.0,52.0,41.0,0.0,1634.0,79.0,384.0,909.0,364.0,42.0,1634.0,868.0,55.0,33.0,10.0,930.0,51.0,26.0,0.0,33.0,34.0,2.0,0.0,0.0,0.0,233.0,61.0,55.0,52.6"
+Ciprian Tătărușanu,ro ROU,GK,Milan,35,1986,6.0,6.0,540.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,160.0,204.0,78.4,4563.0,3430.0,29.0,30.0,96.7,74.0,74.0,100.0,57.0,100.0,57.0,0.0,0.0,0.0,0.0,0.0,160.0,44.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,217.0,176.0,215.0,2.0,0.0,0.0,217.0,125.0,0.0,0.0,0.0,119.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,0.0,0.0
+Filippo Terracciano,it ITA,DF,Hellas Verona,18,2003,1.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,5.0,60.0,33.0,15.0,3.0,3.0,100.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,7.0,0.0,2.0,2.0,3.0,1.0,7.0,1.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,100.0
+Pietro Terracciano,it ITA,GK,Fiorentina,31,1990,32.0,31.0,2862.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31.8,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1217.0,1531.0,79.5,33515.0,20979.0,204.0,207.0,98.6,557.0,565.0,98.6,454.0,750.0,60.5,1.0,23.0,1.0,0.0,1.0,1250.0,276.0,106.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,3.0,0.09,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,20.0,1.0,1596.0,1283.0,1586.0,11.0,0.0,0.0,1596.0,1022.0,0.0,0.0,0.0,1032.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,44.0,13.0,2.0,86.7
+Aleksa Terzić,rs SRB,DF,Fiorentina,21,1999,14.0,1.0,274.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.33,0.33,0.0,0.33,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,196.0,238.0,82.4,3273.0,1059.0,98.0,107.0,91.6,74.0,86.0,86.0,20.0,33.0,60.6,5.0,5.0,8.0,6.0,13.0,196.0,41.0,7.0,0.0,0.0,20.0,11.0,1.0,5.0,0.0,23.0,1.0,4.0,8.0,2.65,6.0,2.0,0.0,0.0,1.0,0.33,1.0,0.0,0.0,0.0,0.0,8.0,5.0,3.0,3.0,2.0,7.0,0.0,7.0,4.0,5.0,0.0,279.0,10.0,109.0,108.0,64.0,3.0,279.0,152.0,10.0,6.0,0.0,167.0,8.0,3.0,0.0,4.0,2.0,0.0,0.0,0.0,0.0,25.0,9.0,3.0,75.0
+Tanner Tessmann,us USA,MF,Venezia,19,2001,20.0,6.0,680.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.09,0.09,7.6,3.0,0.0,37.5,0.4,0.0,0.0,0.08,-0.6,-0.6,164.0,227.0,72.2,3178.0,1095.0,70.0,83.0,84.3,65.0,77.0,84.4,25.0,47.0,53.2,4.0,19.0,1.0,0.0,23.0,219.0,6.0,5.0,0.0,6.0,4.0,0.0,0.0,0.0,0.0,0.0,2.0,7.0,11.0,1.46,7.0,0.0,0.0,0.0,1.0,0.13,1.0,0.0,0.0,0.0,0.0,11.0,5.0,4.0,6.0,1.0,19.0,9.0,10.0,5.0,22.0,0.0,320.0,45.0,126.0,152.0,51.0,8.0,320.0,173.0,12.0,10.0,2.0,176.0,13.0,7.0,0.0,10.0,8.0,0.0,0.0,0.0,0.0,51.0,8.0,17.0,32.0
+Arthur Theate,be BEL,DF,Bologna,21,2000,31.0,28.0,2424.0,2.0,1.0,0.0,0.0,6.0,0.0,0.07,0.04,0.11,0.07,0.11,1.5,1.5,0.05,0.05,26.9,6.0,0.0,28.6,0.22,0.1,0.33,0.07,0.5,0.5,1231.0,1488.0,82.7,22337.0,8079.0,510.0,566.0,90.1,585.0,665.0,88.0,121.0,213.0,56.8,6.0,108.0,9.0,3.0,107.0,1418.0,69.0,45.0,2.0,13.0,18.0,0.0,0.0,0.0,0.0,23.0,1.0,16.0,24.0,0.89,23.0,0.0,1.0,0.0,4.0,0.15,4.0,0.0,0.0,0.0,0.0,33.0,19.0,26.0,3.0,4.0,29.0,16.0,13.0,42.0,69.0,0.0,1723.0,144.0,776.0,839.0,135.0,21.0,1723.0,1045.0,37.0,38.0,1.0,1160.0,22.0,10.0,0.0,26.0,10.0,1.0,0.0,1.0,0.0,181.0,39.0,39.0,50.0
+Morten Thorsby,no NOR,MF,Sampdoria,25,1996,35.0,35.0,2943.0,3.0,1.0,0.0,0.0,10.0,0.0,0.09,0.03,0.12,0.09,0.12,3.2,3.2,0.1,0.1,32.7,7.0,0.0,26.9,0.21,0.12,0.43,0.12,-0.2,-0.2,705.0,992.0,71.1,9172.0,2953.0,435.0,557.0,78.1,200.0,284.0,70.4,17.0,39.0,43.6,15.0,70.0,9.0,0.0,88.0,976.0,15.0,12.0,3.0,3.0,0.0,0.0,0.0,0.0,0.0,3.0,1.0,21.0,42.0,1.28,37.0,0.0,2.0,2.0,2.0,0.06,2.0,0.0,0.0,0.0,0.0,46.0,26.0,15.0,23.0,8.0,37.0,12.0,25.0,25.0,39.0,0.0,1343.0,74.0,286.0,762.0,305.0,68.0,1343.0,572.0,18.0,13.0,1.0,806.0,64.0,22.0,0.0,81.0,37.0,0.0,0.0,0.0,0.0,151.0,166.0,135.0,55.1
+Jeremy Toljan,de GER,DF,Sassuolo,26,1994,20.0,15.0,1399.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.1,0.1,0.0,0.0,15.5,1.0,0.0,33.3,0.06,0.0,0.0,0.02,-0.1,-0.1,741.0,845.0,87.7,11260.0,3376.0,406.0,435.0,93.3,266.0,296.0,89.9,47.0,72.0,65.3,12.0,31.0,13.0,3.0,53.0,689.0,153.0,18.0,0.0,5.0,22.0,0.0,0.0,0.0,0.0,135.0,3.0,11.0,35.0,2.25,33.0,1.0,0.0,1.0,5.0,0.32,4.0,1.0,0.0,0.0,0.0,18.0,10.0,12.0,4.0,2.0,12.0,5.0,7.0,12.0,41.0,0.0,975.0,55.0,342.0,429.0,209.0,21.0,975.0,506.0,36.0,19.0,3.0,597.0,18.0,6.0,0.0,8.0,7.0,0.0,0.0,1.0,0.0,75.0,9.0,13.0,40.9
+Rafael Tolói,it ITA,DF,Atalanta,30,1990,20.0,16.0,1438.0,1.0,1.0,0.0,0.0,6.0,0.0,0.06,0.06,0.13,0.06,0.13,1.1,1.1,0.07,0.07,16.0,2.0,0.0,16.7,0.13,0.08,0.5,0.09,-0.1,-0.1,772.0,944.0,81.8,14041.0,5497.0,324.0,357.0,90.8,358.0,404.0,88.6,76.0,137.0,55.5,8.0,86.0,10.0,2.0,90.0,896.0,45.0,23.0,3.0,10.0,10.0,0.0,0.0,0.0,0.0,22.0,3.0,19.0,26.0,1.63,23.0,0.0,2.0,0.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,38.0,15.0,12.0,15.0,11.0,23.0,11.0,12.0,26.0,35.0,0.0,1111.0,76.0,393.0,581.0,144.0,18.0,1111.0,648.0,12.0,22.0,0.0,698.0,12.0,5.0,0.0,27.0,10.0,0.0,0.0,1.0,0.0,122.0,38.0,11.0,77.6
+Takehiro Tomiyasu,jp JPN,DF,Bologna,22,1998,1.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,3.0,100.0,71.0,55.0,1.0,1.0,100.0,0.0,0.0,0.0,2.0,2.0,100.0,1.0,0.0,1.0,1.0,0.0,2.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,9.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,5.0,0.0,2.0,1.0,2.0,0.0,5.0,3.0,0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Fikayo Tomori,eng ENG,DF,Milan,23,1997,31.0,30.0,2718.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,1.1,0.04,0.04,30.2,3.0,0.0,25.0,0.1,0.0,0.0,0.1,-1.1,-1.1,1524.0,1742.0,87.5,30255.0,10510.0,454.0,493.0,92.1,878.0,943.0,93.1,176.0,263.0,66.9,4.0,69.0,1.0,0.0,82.0,1638.0,97.0,54.0,1.0,10.0,3.0,0.0,0.0,0.0,0.0,6.0,7.0,10.0,19.0,0.63,19.0,0.0,0.0,0.0,3.0,0.1,3.0,0.0,0.0,0.0,0.0,73.0,44.0,36.0,34.0,3.0,37.0,23.0,14.0,45.0,84.0,1.0,2037.0,212.0,1018.0,970.0,61.0,16.0,2037.0,1111.0,14.0,8.0,1.0,1316.0,16.0,0.0,0.0,19.0,11.0,0.0,0.0,0.0,0.0,183.0,51.0,48.0,51.5
+Sandro Tonali,it ITA,MF,Milan,21,2000,36.0,31.0,2600.0,5.0,2.0,0.0,0.0,9.0,0.0,0.17,0.07,0.24,0.17,0.24,4.1,4.1,0.14,0.14,28.9,11.0,4.0,29.7,0.38,0.14,0.45,0.11,0.9,0.9,1214.0,1487.0,81.6,23007.0,6913.0,499.0,548.0,91.1,495.0,568.0,87.1,183.0,305.0,60.0,44.0,124.0,25.0,7.0,141.0,1299.0,188.0,107.0,4.0,19.0,108.0,69.0,29.0,25.0,0.0,11.0,0.0,21.0,82.0,2.84,49.0,22.0,6.0,3.0,5.0,0.17,4.0,1.0,0.0,0.0,0.0,54.0,37.0,23.0,25.0,6.0,26.0,8.0,18.0,34.0,19.0,0.0,1755.0,56.0,361.0,1007.0,411.0,27.0,1755.0,938.0,51.0,43.0,5.0,1102.0,33.0,23.0,0.0,45.0,50.0,3.0,0.0,0.0,0.0,189.0,10.0,14.0,41.7
+Lorenzo Tonelli,it ITA,DF,Empoli,31,1990,14.0,8.0,870.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.04,0.04,9.7,3.0,0.0,42.9,0.31,0.0,0.0,0.06,-0.4,-0.4,463.0,560.0,82.7,9035.0,4197.0,161.0,179.0,89.9,237.0,263.0,90.1,58.0,99.0,58.6,6.0,40.0,5.0,1.0,43.0,504.0,55.0,44.0,1.0,2.0,1.0,0.0,0.0,0.0,0.0,2.0,1.0,7.0,14.0,1.45,11.0,0.0,1.0,1.0,1.0,0.1,1.0,0.0,0.0,0.0,0.0,17.0,9.0,11.0,4.0,2.0,14.0,8.0,6.0,19.0,28.0,2.0,662.0,87.0,305.0,333.0,28.0,11.0,662.0,352.0,7.0,1.0,0.0,392.0,7.0,3.0,0.0,9.0,24.0,1.0,0.0,0.0,1.0,54.0,28.0,19.0,59.6
+Ernesto Torregrossa,ve VEN,FW,Sampdoria,29,1992,10.0,0.0,116.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,42.0,71.4,528.0,108.0,16.0,21.0,76.2,9.0,11.0,81.8,5.0,6.0,83.3,2.0,3.0,1.0,0.0,4.0,39.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.0,6.0,4.7,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,58.0,1.0,3.0,24.0,31.0,6.0,58.0,32.0,2.0,3.0,1.0,50.0,6.0,1.0,0.0,7.0,7.0,5.0,0.0,0.0,0.0,3.0,3.0,3.0,50.0
+Lucas Torreira,uy URU,MF,Fiorentina,25,1996,31.0,26.0,2195.0,5.0,1.0,0.0,0.0,10.0,1.0,0.21,0.04,0.25,0.21,0.25,5.3,5.0,0.22,0.2,24.4,13.0,2.0,44.8,0.53,0.17,0.38,0.19,-0.3,0.0,1193.0,1368.0,87.2,22757.0,5765.0,432.0,481.0,89.8,590.0,646.0,91.3,149.0,194.0,76.8,23.0,112.0,24.0,0.0,125.0,1275.0,90.0,86.0,5.0,6.0,6.0,0.0,0.0,0.0,0.0,2.0,3.0,12.0,60.0,2.46,51.0,1.0,2.0,4.0,6.0,0.25,3.0,0.0,1.0,1.0,1.0,37.0,29.0,13.0,21.0,3.0,18.0,1.0,17.0,26.0,18.0,0.0,1549.0,37.0,318.0,975.0,261.0,35.0,1549.0,832.0,10.0,11.0,3.0,1051.0,24.0,8.0,1.0,38.0,44.0,2.0,1.0,0.0,0.0,153.0,18.0,26.0,40.9
+Abdoulaye Touré,fr FRA,MF,Genoa,27,1994,8.0,6.0,430.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.03,0.03,4.8,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,130.0,172.0,75.6,1934.0,383.0,66.0,85.0,77.6,50.0,64.0,78.1,7.0,10.0,70.0,1.0,12.0,0.0,0.0,17.0,170.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,4.0,0.84,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,4.0,3.0,8.0,1.0,6.0,1.0,5.0,4.0,6.0,0.0,224.0,8.0,51.0,139.0,37.0,5.0,224.0,120.0,2.0,1.0,1.0,128.0,4.0,4.0,0.0,3.0,9.0,0.0,0.0,0.0,0.0,27.0,5.0,4.0,55.6
+Simone Trimboli,it ITA,MF,Sampdoria,19,2002,5.0,0.0,65.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,49.0,89.8,643.0,210.0,30.0,33.0,90.9,12.0,12.0,100.0,2.0,2.0,100.0,3.0,4.0,2.0,0.0,6.0,49.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,2.0,2.77,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,57.0,0.0,14.0,33.0,11.0,2.0,57.0,34.0,2.0,0.0,0.0,42.0,3.0,0.0,0.0,2.0,0.0,0.0,0.0,1.0,0.0,5.0,1.0,1.0,50.0
+Axel Tuanzebe,eng ENG,DF,Napoli,23,1997,1.0,0.0,11.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,4.0,100.0,68.0,45.0,1.0,1.0,100.0,3.0,3.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,8.18,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,5.0,1.0,3.0,2.0,0.0,0.0,5.0,3.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0
+Iyenoma Udogie,it ITA,DF,Udinese,18,2002,35.0,29.0,2477.0,5.0,3.0,0.0,0.0,4.0,0.0,0.18,0.11,0.29,0.18,0.29,4.4,4.4,0.16,0.16,27.5,12.0,0.0,44.4,0.44,0.19,0.42,0.16,0.6,0.6,701.0,888.0,78.9,9566.0,3597.0,434.0,497.0,87.3,221.0,265.0,83.4,16.0,34.0,47.1,28.0,49.0,21.0,3.0,89.0,768.0,118.0,14.0,0.0,0.0,17.0,2.0,0.0,0.0,0.0,102.0,2.0,33.0,75.0,2.72,54.0,2.0,6.0,4.0,8.0,0.29,5.0,0.0,1.0,1.0,0.0,64.0,40.0,30.0,27.0,7.0,39.0,6.0,33.0,27.0,42.0,0.0,1233.0,58.0,301.0,585.0,377.0,62.0,1233.0,631.0,56.0,37.0,20.0,655.0,50.0,35.0,0.0,36.0,34.0,4.0,0.0,0.0,0.0,156.0,27.0,28.0,49.1
+Maximilian Ullmann,at AUT,DF,Venezia,25,1996,5.0,2.0,246.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,44.0,68.0,64.7,762.0,381.0,23.0,28.0,82.1,15.0,19.0,78.9,5.0,16.0,31.3,0.0,4.0,2.0,1.0,6.0,60.0,8.0,0.0,0.0,1.0,4.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,4.0,2.0,7.0,0.0,85.0,8.0,28.0,44.0,13.0,1.0,85.0,34.0,0.0,2.0,0.0,41.0,1.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0,0.0,10.0,1.0,5.0,16.7
+Kacper Urbanski,pl POL,MF,Bologna,16,2004,1.0,0.0,45.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,21.0,71.4,213.0,58.0,8.0,11.0,72.7,5.0,7.0,71.4,1.0,2.0,50.0,0.0,1.0,0.0,0.0,2.0,21.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,2.0,1.0,2.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,30.0,2.0,11.0,17.0,2.0,0.0,30.0,13.0,0.0,0.0,0.0,12.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,2.0,0.0
+Antonio Vacca,it ITA,MF,Venezia,31,1990,21.0,15.0,1064.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.8,0.0,0.0,0.0,0.0,0.0,0.0,0.02,0.0,0.0,600.0,703.0,85.3,11682.0,3825.0,202.0,225.0,89.8,304.0,329.0,92.4,77.0,111.0,69.4,5.0,52.0,7.0,0.0,56.0,641.0,59.0,50.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,5.0,3.0,11.0,14.0,1.19,11.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,36.0,20.0,24.0,10.0,2.0,16.0,8.0,8.0,20.0,16.0,0.0,817.0,71.0,360.0,419.0,52.0,1.0,817.0,455.0,9.0,7.0,2.0,495.0,6.0,9.0,0.0,21.0,9.0,0.0,0.0,0.0,0.0,111.0,4.0,11.0,26.7
+Zinho Vanheusden,be BEL,DF,Genoa,22,1999,14.0,11.0,989.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.01,0.01,11.0,2.0,0.0,33.3,0.18,0.0,0.0,0.03,-0.2,-0.2,333.0,421.0,79.1,6281.0,2252.0,119.0,133.0,89.5,173.0,204.0,84.8,35.0,65.0,53.8,1.0,18.0,0.0,0.0,26.0,396.0,24.0,21.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,3.0,1.0,4.0,7.0,0.64,7.0,0.0,0.0,0.0,1.0,0.09,1.0,0.0,0.0,0.0,0.0,18.0,6.0,12.0,5.0,1.0,19.0,14.0,5.0,23.0,42.0,0.0,546.0,85.0,325.0,183.0,41.0,11.0,546.0,272.0,11.0,9.0,0.0,303.0,4.0,1.0,0.0,10.0,10.0,0.0,0.0,1.0,1.0,47.0,23.0,17.0,57.5
+Johan Vásquez,mx MEX,DF,Genoa,22,1998,28.0,27.0,2279.0,1.0,0.0,0.0,0.0,7.0,0.0,0.04,0.0,0.04,0.04,0.04,0.8,0.8,0.03,0.03,25.3,3.0,0.0,21.4,0.12,0.07,0.33,0.06,0.2,0.2,829.0,1178.0,70.4,14740.0,6041.0,341.0,410.0,83.2,390.0,519.0,75.1,76.0,173.0,43.9,4.0,55.0,4.0,1.0,62.0,1015.0,157.0,50.0,0.0,2.0,17.0,0.0,0.0,0.0,0.0,100.0,6.0,28.0,16.0,0.63,9.0,3.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,79.0,46.0,44.0,32.0,3.0,32.0,10.0,22.0,42.0,85.0,0.0,1494.0,149.0,688.0,688.0,130.0,30.0,1494.0,675.0,12.0,13.0,3.0,725.0,17.0,12.0,0.0,31.0,26.0,1.0,0.0,0.0,0.0,166.0,59.0,61.0,49.2
+Denis Vavro,sk SVK,DF,Lazio,25,1996,1.0,0.0,8.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,6.0,100.0,64.0,30.0,4.0,4.0,100.0,1.0,1.0,100.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,1.0,2.0,4.0,0.0,0.0,6.0,1.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Matías Vecino,uy URU,MF,Inter,29,1991,17.0,2.0,377.0,1.0,0.0,0.0,0.0,2.0,0.0,0.24,0.0,0.24,0.24,0.24,1.4,1.4,0.32,0.32,4.2,2.0,0.0,28.6,0.48,0.14,0.5,0.19,-0.4,-0.4,152.0,206.0,73.8,2434.0,824.0,66.0,81.0,81.5,68.0,84.0,81.0,9.0,19.0,47.4,5.0,24.0,8.0,1.0,29.0,198.0,6.0,4.0,4.0,2.0,5.0,0.0,0.0,0.0,0.0,2.0,2.0,5.0,15.0,3.61,14.0,0.0,1.0,0.0,4.0,0.96,4.0,0.0,0.0,0.0,0.0,7.0,5.0,2.0,3.0,2.0,10.0,1.0,9.0,4.0,7.0,0.0,249.0,10.0,54.0,133.0,66.0,15.0,249.0,131.0,10.0,10.0,0.0,161.0,1.0,5.0,0.0,9.0,3.0,0.0,0.0,0.0,0.0,20.0,17.0,12.0,58.6
+Miguel Veloso,pt POR,MF,Hellas Verona,35,1986,22.0,17.0,1343.0,0.0,3.0,0.0,0.0,7.0,1.0,0.0,0.2,0.2,0.0,0.2,0.5,0.5,0.04,0.04,14.9,4.0,6.0,23.5,0.27,0.0,0.0,0.03,-0.5,-0.5,725.0,922.0,78.6,13530.0,4348.0,282.0,324.0,87.0,337.0,395.0,85.3,88.0,153.0,57.5,25.0,92.0,19.0,5.0,103.0,800.0,118.0,58.0,3.0,6.0,74.0,50.0,24.0,13.0,0.0,10.0,4.0,12.0,51.0,3.42,34.0,16.0,0.0,0.0,7.0,0.47,6.0,1.0,0.0,0.0,0.0,23.0,15.0,4.0,17.0,2.0,18.0,5.0,13.0,11.0,18.0,1.0,1042.0,23.0,177.0,638.0,238.0,8.0,1042.0,496.0,31.0,15.0,1.0,578.0,12.0,7.0,1.0,18.0,6.0,0.0,0.0,0.0,0.0,125.0,26.0,22.0,54.2
+Lorenzo Venuti,it ITA,DF,Fiorentina,26,1995,23.0,20.0,1571.0,0.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.01,0.01,17.5,1.0,0.0,14.3,0.06,0.0,0.0,0.03,-0.2,-0.2,909.0,1046.0,86.9,16156.0,4826.0,395.0,426.0,92.7,414.0,464.0,89.2,87.0,126.0,69.0,8.0,67.0,10.0,3.0,68.0,911.0,134.0,22.0,0.0,6.0,29.0,0.0,0.0,0.0,0.0,112.0,1.0,12.0,19.0,1.09,16.0,0.0,1.0,1.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,25.0,10.0,13.0,10.0,2.0,13.0,4.0,9.0,5.0,27.0,0.0,1165.0,40.0,386.0,558.0,230.0,10.0,1165.0,660.0,28.0,21.0,2.0,826.0,19.0,9.0,0.0,15.0,32.0,0.0,0.0,0.0,1.0,76.0,9.0,8.0,52.9
+"Daniele Verde,it ITA,""FW,MF"",Spezia,25,1996,33.0,21.0,1957.0,8.0,6.0,1.0,2.0,2.0,0.0,0.37,0.28,0.64,0.32,0.6,5.4,3.9,0.25,0.18,21.7,21.0,9.0,41.2,0.97,0.14,0.33,0.08,2.6,3.1,576.0,826.0,69.7,10492.0,3274.0,287.0,342.0,83.9,194.0,265.0,73.2,81.0,173.0,46.8,39.0,49.0,26.0,8.0,71.0,686.0,136.0,40.0,4.0,12.0,141.0,77.0,41.0,26.0,1.0,18.0,4.0,13.0,79.0,3.64,48.0,20.0,6.0,1.0,11.0,0.51,7.0,2.0,2.0,0.0,0.0,11.0,4.0,8.0,2.0,1.0,17.0,2.0,15.0,18.0,8.0,0.0,987.0,17.0,158.0,381.0,457.0,49.0,985.0,575.0,51.0,32.0,19.0,652.0,17.0,12.0,0.0,3.0,15.0,12.0,0.0,0.0,0.0,102.0,1.0,0.0,100.0"
+"Simone Verdi,it ITA,""MF,FW"",Torino,29,1992,3.0,0.0,46.0,1.0,0.0,0.0,0.0,0.0,0.0,1.96,0.0,1.96,1.96,1.96,0.2,0.2,0.44,0.44,0.5,1.0,0.0,50.0,1.96,0.5,1.0,0.11,0.8,0.8,9.0,16.0,56.3,139.0,40.0,5.0,7.0,71.4,4.0,6.0,66.7,0.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,15.0,1.0,1.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.96,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,24.0,1.0,2.0,13.0,10.0,2.0,24.0,12.0,0.0,0.0,0.0,14.0,2.0,2.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,4.0,0.0,1.0,0.0"
+"Simone Verdi,it ITA,""FW,MF"",Salernitana,29,1992,15.0,11.0,829.0,5.0,0.0,1.0,1.0,3.0,0.0,0.54,0.0,0.54,0.43,0.43,3.4,2.6,0.37,0.28,9.2,14.0,9.0,40.0,1.52,0.11,0.29,0.07,1.6,1.4,224.0,333.0,67.3,4416.0,1674.0,99.0,116.0,85.3,82.0,113.0,72.6,37.0,75.0,49.3,19.0,32.0,13.0,5.0,37.0,258.0,74.0,32.0,3.0,5.0,69.0,35.0,13.0,16.0,0.0,1.0,1.0,9.0,49.0,5.31,25.0,13.0,2.0,0.0,4.0,0.43,2.0,1.0,1.0,0.0,0.0,12.0,8.0,5.0,2.0,5.0,4.0,0.0,4.0,3.0,1.0,0.0,459.0,3.0,39.0,190.0,239.0,18.0,458.0,271.0,35.0,26.0,7.0,285.0,19.0,19.0,0.0,11.0,20.0,1.0,0.0,0.0,0.0,45.0,5.0,11.0,31.3"
+Jordan Veretout,fr FRA,MF,Roma,28,1993,36.0,26.0,2319.0,4.0,8.0,1.0,2.0,6.0,0.0,0.16,0.31,0.47,0.12,0.43,4.6,3.1,0.18,0.12,25.8,8.0,3.0,29.6,0.31,0.11,0.38,0.11,-0.6,-0.1,1215.0,1440.0,84.4,23611.0,6701.0,446.0,496.0,89.9,576.0,643.0,89.6,177.0,255.0,69.4,55.0,133.0,19.0,2.0,164.0,1316.0,122.0,48.0,2.0,17.0,102.0,69.0,40.0,26.0,0.0,5.0,2.0,12.0,108.0,4.19,64.0,34.0,6.0,2.0,11.0,0.43,4.0,6.0,1.0,0.0,0.0,34.0,25.0,20.0,12.0,2.0,12.0,1.0,11.0,27.0,22.0,1.0,1617.0,43.0,296.0,947.0,387.0,31.0,1615.0,912.0,49.0,32.0,4.0,1135.0,24.0,11.0,0.0,18.0,22.0,1.0,0.0,0.0,0.0,147.0,16.0,12.0,57.1
+"Edoardo Vergani,it ITA,""FW,MF"",Salernitana,20,2001,6.0,1.0,102.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,25.0,52.0,166.0,18.0,9.0,13.0,69.2,2.0,4.0,50.0,1.0,2.0,50.0,0.0,3.0,0.0,0.0,1.0,25.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,0.88,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,2.0,0.0,0.0,2.0,2.0,0.0,0.0,2.0,0.0,41.0,5.0,11.0,15.0,15.0,3.0,41.0,21.0,0.0,0.0,0.0,28.0,7.0,1.0,0.0,3.0,1.0,1.0,0.0,0.0,0.0,2.0,1.0,1.0,50.0"
+"Valerio Verre,it ITA,""MF,FW"",Sampdoria,27,1994,11.0,6.0,420.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.8,0.8,0.17,0.17,4.7,1.0,0.0,9.1,0.21,0.0,0.0,0.08,-0.8,-0.8,149.0,223.0,66.8,2721.0,906.0,65.0,91.0,71.4,55.0,78.0,70.5,20.0,33.0,60.6,8.0,18.0,12.0,4.0,34.0,210.0,11.0,7.0,0.0,3.0,16.0,2.0,2.0,0.0,0.0,2.0,2.0,7.0,22.0,4.71,17.0,3.0,1.0,1.0,1.0,0.21,1.0,0.0,0.0,0.0,0.0,7.0,5.0,1.0,4.0,2.0,7.0,0.0,7.0,0.0,5.0,0.0,280.0,6.0,32.0,139.0,112.0,9.0,280.0,199.0,12.0,17.0,2.0,202.0,20.0,9.0,0.0,8.0,10.0,0.0,0.0,0.0,0.0,35.0,6.0,7.0,46.2"
+Valerio Verre,it ITA,MF,Empoli,27,1994,8.0,4.0,310.0,0.0,1.0,0.0,0.0,2.0,1.0,0.0,0.29,0.29,0.0,0.29,0.6,0.6,0.18,0.18,3.4,4.0,0.0,44.4,1.16,0.0,0.0,0.07,-0.6,-0.6,122.0,165.0,73.9,2000.0,603.0,61.0,75.0,81.3,50.0,64.0,78.1,8.0,17.0,47.1,5.0,16.0,7.0,0.0,25.0,158.0,7.0,1.0,1.0,1.0,2.0,2.0,0.0,0.0,0.0,1.0,0.0,3.0,15.0,4.37,12.0,0.0,1.0,1.0,2.0,0.58,2.0,0.0,0.0,0.0,0.0,4.0,2.0,3.0,1.0,0.0,2.0,0.0,2.0,1.0,0.0,0.0,214.0,2.0,38.0,94.0,84.0,9.0,214.0,149.0,14.0,9.0,0.0,158.0,8.0,9.0,0.0,8.0,3.0,0.0,0.0,0.0,0.0,29.0,0.0,7.0,0.0
+Freddie Veseli,al ALB,DF,Salernitana,28,1992,9.0,8.0,596.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.6,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,170.0,211.0,80.6,2920.0,1166.0,78.0,87.0,89.7,73.0,88.0,83.0,15.0,28.0,53.6,0.0,11.0,1.0,1.0,12.0,182.0,29.0,5.0,0.0,2.0,4.0,0.0,0.0,0.0,0.0,24.0,0.0,3.0,6.0,0.91,3.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,2.0,4.0,3.0,0.0,10.0,5.0,5.0,4.0,19.0,0.0,268.0,37.0,122.0,129.0,19.0,0.0,268.0,123.0,2.0,3.0,0.0,137.0,2.0,3.0,1.0,7.0,1.0,0.0,0.0,2.0,0.0,27.0,7.0,4.0,63.6
+Guglielmo Vicario,it ITA,GK,Empoli,24,1996,38.0,38.0,3420.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,38.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1042.0,1325.0,78.6,25736.0,19334.0,241.0,241.0,100.0,550.0,556.0,98.9,247.0,522.0,47.3,1.0,6.0,0.0,0.0,0.0,975.0,348.0,91.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,7.0,0.18,6.0,1.0,0.0,0.0,1.0,0.03,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,21.0,1.0,1455.0,1298.0,1451.0,5.0,0.0,0.0,1455.0,818.0,0.0,0.0,0.0,657.0,1.0,0.0,0.0,1.0,7.0,0.0,0.0,1.0,0.0,50.0,12.0,1.0,92.3
+Arturo Vidal,cl CHI,MF,Inter,34,1987,28.0,2.0,741.0,1.0,1.0,0.0,0.0,3.0,0.0,0.12,0.12,0.24,0.12,0.24,2.0,2.0,0.24,0.24,8.2,8.0,0.0,44.4,0.97,0.06,0.13,0.11,-1.0,-1.0,498.0,575.0,86.6,8112.0,2174.0,264.0,290.0,91.0,164.0,184.0,89.1,48.0,67.0,71.6,12.0,37.0,12.0,2.0,53.0,563.0,12.0,6.0,4.0,7.0,4.0,2.0,0.0,0.0,0.0,4.0,0.0,8.0,33.0,4.02,27.0,0.0,3.0,1.0,5.0,0.61,5.0,0.0,0.0,0.0,0.0,26.0,10.0,16.0,9.0,1.0,13.0,5.0,8.0,7.0,7.0,1.0,673.0,23.0,159.0,374.0,144.0,27.0,673.0,369.0,11.0,8.0,2.0,492.0,9.0,5.0,0.0,17.0,10.0,1.0,0.0,0.0,0.0,68.0,10.0,14.0,41.7
+Ronaldo Vieira,gw GNB,MF,Sampdoria,23,1998,14.0,4.0,495.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"Luca Vignali,it ITA,""DF,MF"",Spezia,25,1996,2.0,1.0,85.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.9,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,42.0,51.0,82.4,728.0,111.0,16.0,18.0,88.9,24.0,26.0,92.3,2.0,4.0,50.0,0.0,2.0,0.0,0.0,2.0,42.0,9.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,8.0,0.0,4.0,1.0,1.06,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,58.0,3.0,21.0,26.0,12.0,0.0,58.0,29.0,0.0,1.0,0.0,38.0,2.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,6.0,1.0,2.0,33.3"
+"Emanuel Vignato,it ITA,""MF,DF"",Bologna,20,2000,24.0,3.0,594.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.15,0.15,0.0,0.15,0.3,0.3,0.04,0.04,6.6,1.0,0.0,20.0,0.15,0.0,0.0,0.05,-0.3,-0.3,341.0,406.0,84.0,5179.0,1418.0,197.0,215.0,91.6,107.0,118.0,90.7,25.0,33.0,75.8,12.0,32.0,11.0,2.0,55.0,377.0,28.0,2.0,2.0,3.0,12.0,4.0,2.0,0.0,0.0,18.0,1.0,14.0,28.0,4.23,23.0,2.0,1.0,0.0,2.0,0.3,2.0,0.0,0.0,0.0,0.0,12.0,7.0,5.0,7.0,0.0,2.0,0.0,2.0,2.0,5.0,0.0,459.0,6.0,70.0,235.0,158.0,15.0,459.0,274.0,22.0,17.0,4.0,320.0,10.0,9.0,0.0,5.0,3.0,0.0,0.0,0.0,0.0,40.0,6.0,4.0,60.0"
+"Matías Viña,uy URU,""DF,FW"",Roma,23,1997,26.0,18.0,1565.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.06,0.06,0.0,0.06,0.6,0.6,0.03,0.03,17.4,3.0,0.0,25.0,0.17,0.0,0.0,0.05,-0.6,-0.6,658.0,838.0,78.5,10442.0,4383.0,347.0,398.0,87.2,257.0,304.0,84.5,40.0,84.0,47.6,11.0,57.0,13.0,6.0,74.0,673.0,164.0,18.0,2.0,1.0,35.0,0.0,0.0,0.0,0.0,146.0,1.0,17.0,36.0,2.07,26.0,3.0,1.0,2.0,2.0,0.12,1.0,1.0,0.0,0.0,0.0,46.0,30.0,27.0,14.0,5.0,26.0,3.0,23.0,25.0,33.0,0.0,1053.0,48.0,311.0,501.0,254.0,26.0,1053.0,456.0,41.0,22.0,8.0,570.0,32.0,6.0,0.0,9.0,20.0,2.0,0.0,0.0,0.0,100.0,17.0,20.0,45.9"
+Nicolas Viola,it ITA,MF,Bologna,31,1989,6.0,1.0,102.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.03,1.1,0.0,0.0,0.0,0.0,0.0,0.0,0.03,0.0,0.0,44.0,64.0,68.8,720.0,221.0,25.0,31.0,80.6,17.0,24.0,70.8,2.0,7.0,28.6,0.0,3.0,0.0,0.0,3.0,56.0,7.0,3.0,0.0,1.0,5.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.88,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,75.0,2.0,16.0,41.0,20.0,1.0,75.0,36.0,1.0,2.0,0.0,45.0,0.0,0.0,0.0,2.0,2.0,0.0,0.0,0.0,0.0,15.0,3.0,0.0,100.0
+Mattia Viti,it ITA,DF,Empoli,19,2002,20.0,16.0,1491.0,0.0,0.0,0.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.02,0.02,16.6,0.0,0.0,0.0,0.0,0.0,0.0,0.1,-0.4,-0.4,568.0,679.0,83.7,10615.0,3548.0,192.0,213.0,90.1,291.0,326.0,89.3,65.0,105.0,61.9,2.0,32.0,1.0,0.0,45.0,615.0,63.0,38.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,13.0,1.0,6.0,10.0,0.6,7.0,1.0,0.0,0.0,1.0,0.06,1.0,0.0,0.0,0.0,0.0,28.0,16.0,16.0,9.0,3.0,28.0,25.0,3.0,29.0,69.0,1.0,866.0,149.0,434.0,399.0,38.0,6.0,866.0,471.0,10.0,3.0,1.0,466.0,7.0,3.0,1.0,15.0,13.0,1.0,0.0,0.0,1.0,83.0,29.0,33.0,46.8
+Dušan Vlahović,rs SRB,FW,Fiorentina,21,2000,21.0,21.0,1857.0,17.0,2.0,5.0,6.0,2.0,0.0,0.82,0.1,0.92,0.58,0.68,12.9,8.2,0.62,0.4,20.6,27.0,5.0,39.1,1.31,0.17,0.44,0.12,4.1,3.8,270.0,395.0,68.4,4563.0,783.0,129.0,172.0,75.0,103.0,146.0,70.5,30.0,38.0,78.9,20.0,15.0,12.0,3.0,40.0,353.0,41.0,1.0,7.0,4.0,16.0,0.0,0.0,0.0,0.0,1.0,1.0,18.0,54.0,2.62,33.0,0.0,8.0,7.0,11.0,0.53,5.0,0.0,5.0,0.0,0.0,5.0,0.0,0.0,2.0,3.0,6.0,2.0,4.0,1.0,16.0,0.0,641.0,21.0,36.0,292.0,319.0,115.0,635.0,374.0,18.0,13.0,11.0,534.0,82.0,42.0,0.0,19.0,49.0,19.0,0.0,0.0,0.0,37.0,40.0,33.0,54.8
+Dušan Vlahović,rs SRB,FW,Juventus,21,2000,15.0,12.0,1076.0,7.0,1.0,0.0,0.0,2.0,0.0,0.59,0.08,0.67,0.59,0.67,5.2,5.2,0.44,0.44,12.0,19.0,1.0,43.2,1.59,0.16,0.37,0.12,1.8,1.8,154.0,231.0,66.7,2459.0,428.0,78.0,108.0,72.2,44.0,62.0,71.0,19.0,27.0,70.4,9.0,9.0,7.0,1.0,16.0,219.0,11.0,1.0,1.0,1.0,8.0,0.0,0.0,0.0,0.0,1.0,1.0,13.0,29.0,2.43,24.0,0.0,3.0,1.0,2.0,0.17,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,3.0,0.0,3.0,0.0,7.0,0.0,389.0,9.0,20.0,148.0,227.0,80.0,389.0,234.0,15.0,11.0,5.0,323.0,56.0,28.0,0.0,8.0,20.0,12.0,0.0,0.0,0.0,26.0,19.0,21.0,47.5
+Mërgim Vojvoda,xk KVX,DF,Torino,26,1995,29.0,22.0,1976.0,0.0,3.0,0.0,0.0,3.0,0.0,0.0,0.14,0.14,0.0,0.14,1.2,1.2,0.05,0.05,22.0,6.0,0.0,33.3,0.27,0.0,0.0,0.07,-1.2,-1.2,904.0,1164.0,77.7,14633.0,6048.0,484.0,541.0,89.5,326.0,410.0,79.5,70.0,143.0,49.0,22.0,90.0,31.0,17.0,114.0,979.0,175.0,8.0,0.0,14.0,71.0,2.0,1.0,0.0,0.0,165.0,10.0,20.0,44.0,2.0,40.0,2.0,0.0,0.0,5.0,0.23,4.0,0.0,0.0,0.0,0.0,38.0,23.0,23.0,11.0,4.0,27.0,8.0,19.0,20.0,51.0,0.0,1378.0,71.0,339.0,639.0,415.0,30.0,1378.0,758.0,44.0,37.0,8.0,825.0,21.0,12.0,0.0,21.0,9.0,1.0,0.0,0.0,0.0,126.0,24.0,30.0,44.4
+"Cristian Volpato,it ITA,""FW,MF"",Roma,17,2003,3.0,0.0,38.0,1.0,0.0,0.0,0.0,0.0,0.0,2.37,0.0,2.37,2.37,2.37,0.1,0.1,0.23,0.23,0.4,1.0,0.0,100.0,2.37,1.0,1.0,0.1,0.9,0.9,20.0,26.0,76.9,357.0,64.0,6.0,6.0,100.0,10.0,13.0,76.9,3.0,5.0,60.0,1.0,0.0,0.0,0.0,4.0,26.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,4.0,9.47,4.0,0.0,0.0,0.0,1.0,2.37,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,30.0,0.0,1.0,11.0,19.0,6.0,30.0,25.0,4.0,3.0,3.0,24.0,2.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,2.0,0.0"
+Stefan de Vrij,nl NED,DF,Inter,29,1992,30.0,28.0,2410.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,2.6,2.6,0.1,0.1,26.8,3.0,0.0,15.0,0.11,0.0,0.0,0.13,-2.6,-2.6,1439.0,1571.0,91.6,27337.0,9038.0,485.0,523.0,92.7,819.0,855.0,95.8,122.0,167.0,73.1,0.0,61.0,3.0,0.0,72.0,1517.0,52.0,25.0,0.0,3.0,2.0,0.0,0.0,0.0,0.0,0.0,2.0,6.0,14.0,0.52,9.0,0.0,5.0,0.0,3.0,0.11,2.0,0.0,1.0,0.0,0.0,38.0,29.0,22.0,16.0,0.0,17.0,8.0,9.0,32.0,52.0,0.0,1752.0,205.0,928.0,796.0,39.0,25.0,1752.0,1001.0,15.0,6.0,1.0,1192.0,6.0,3.0,0.0,19.0,6.0,0.0,0.0,1.0,1.0,158.0,68.0,47.0,59.1
+Walace,br BRA,MF,Udinese,26,1995,36.0,33.0,2970.0,1.0,0.0,0.0,0.0,6.0,1.0,0.03,0.0,0.03,0.03,0.03,1.5,1.5,0.04,0.04,33.0,11.0,0.0,23.4,0.33,0.02,0.09,0.03,-0.5,-0.5,1373.0,1661.0,82.7,24047.0,7652.0,617.0,695.0,88.8,586.0,651.0,90.0,132.0,231.0,57.1,29.0,169.0,17.0,3.0,167.0,1561.0,95.0,62.0,3.0,22.0,9.0,0.0,0.0,0.0,0.0,10.0,5.0,27.0,72.0,2.18,58.0,0.0,10.0,2.0,4.0,0.12,3.0,0.0,1.0,0.0,0.0,83.0,49.0,37.0,38.0,8.0,51.0,5.0,46.0,54.0,32.0,1.0,2040.0,102.0,586.0,1207.0,280.0,15.0,2040.0,1091.0,42.0,24.0,2.0,1224.0,49.0,35.0,0.0,47.0,37.0,1.0,0.0,1.0,0.0,285.0,20.0,23.0,46.5
+Sebastian Walukiewicz,pl POL,DF,Cagliari,21,2000,7.0,4.0,302.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.13,0.13,3.4,0.0,0.0,0.0,0.0,0.0,0.0,0.45,-0.4,-0.4,152.0,171.0,88.9,2967.0,1010.0,49.0,52.0,94.2,79.0,86.0,91.9,20.0,27.0,74.1,1.0,11.0,1.0,0.0,13.0,164.0,7.0,4.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,3.0,0.0,1.0,2.0,0.6,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,9.0,5.0,7.0,2.0,0.0,5.0,2.0,3.0,7.0,14.0,0.0,213.0,23.0,120.0,86.0,7.0,1.0,213.0,143.0,4.0,2.0,0.0,147.0,4.0,0.0,0.0,4.0,3.0,0.0,0.0,0.0,0.0,14.0,2.0,1.0,66.7
+"Magnus Warming,dk DEN,""MF,FW"",Torino,21,2000,4.0,0.0,58.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,11.0,22.0,50.0,144.0,4.0,8.0,12.0,66.7,3.0,6.0,50.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,22.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,1.0,1.58,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,32.0,0.0,6.0,11.0,15.0,3.0,32.0,15.0,6.0,1.0,2.0,18.0,1.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,3.0,1.0,2.0,33.3"
+"Kelvin Yeboah,it ITA,""FW,MF"",Genoa,21,2000,17.0,9.0,850.0,0.0,1.0,0.0,0.0,2.0,0.0,0.0,0.11,0.11,0.0,0.11,1.1,1.1,0.12,0.12,9.4,4.0,0.0,25.0,0.42,0.0,0.0,0.07,-1.1,-1.1,113.0,178.0,63.5,1392.0,441.0,74.0,100.0,74.0,24.0,39.0,61.5,4.0,8.0,50.0,13.0,7.0,5.0,2.0,11.0,171.0,6.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,2.0,1.0,10.0,34.0,3.6,21.0,0.0,2.0,7.0,3.0,0.32,2.0,0.0,0.0,1.0,0.0,14.0,7.0,5.0,7.0,2.0,22.0,1.0,21.0,1.0,7.0,0.0,352.0,9.0,41.0,123.0,193.0,53.0,352.0,198.0,23.0,15.0,10.0,240.0,44.0,13.0,0.0,28.0,30.0,7.0,1.0,0.0,0.0,34.0,31.0,43.0,41.9"
+"Gerard Yepes,es ESP,""MF,DF"",Sampdoria,18,2002,4.0,0.0,21.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,19.0,21.0,90.5,354.0,153.0,10.0,11.0,90.9,6.0,6.0,100.0,3.0,4.0,75.0,0.0,2.0,0.0,0.0,2.0,20.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,24.0,1.0,9.0,15.0,0.0,0.0,24.0,12.0,0.0,0.0,0.0,14.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,1.0,0.0"
+Maya Yoshida,jp JPN,DF,Sampdoria,32,1988,26.0,19.0,1823.0,2.0,3.0,0.0,0.0,2.0,0.0,0.1,0.15,0.25,0.1,0.25,1.0,1.0,0.05,0.05,20.3,4.0,0.0,44.4,0.2,0.22,0.5,0.11,1.0,1.0,814.0,966.0,84.3,16926.0,6407.0,231.0,265.0,87.2,466.0,504.0,92.5,110.0,173.0,63.6,7.0,43.0,5.0,1.0,57.0,933.0,29.0,25.0,2.0,6.0,4.0,0.0,0.0,0.0,0.0,2.0,4.0,5.0,16.0,0.79,15.0,1.0,0.0,0.0,3.0,0.15,3.0,0.0,0.0,0.0,0.0,17.0,10.0,8.0,9.0,0.0,27.0,20.0,7.0,28.0,72.0,1.0,1139.0,179.0,630.0,471.0,39.0,15.0,1139.0,601.0,7.0,3.0,0.0,672.0,9.0,4.0,0.0,20.0,9.0,0.0,0.0,0.0,1.0,119.0,39.0,23.0,62.9
+Mattia Zaccagni,it ITA,MF,Hellas Verona,26,1995,2.0,2.0,180.0,2.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.5,0.5,1.1,0.3,0.56,0.17,2.0,2.0,0.0,66.7,1.0,0.33,0.5,0.11,0.9,0.7,56.0,70.0,80.0,892.0,354.0,31.0,35.0,88.6,19.0,25.0,76.0,4.0,6.0,66.7,5.0,3.0,6.0,1.0,10.0,57.0,13.0,2.0,1.0,0.0,10.0,9.0,4.0,2.0,0.0,0.0,0.0,2.0,14.0,7.0,4.0,6.0,0.0,2.0,2.0,1.0,0.0,0.0,0.0,1.0,0.0,3.0,1.0,1.0,0.0,2.0,1.0,0.0,1.0,4.0,0.0,0.0,99.0,1.0,5.0,36.0,62.0,10.0,98.0,62.0,10.0,7.0,4.0,66.0,2.0,8.0,0.0,1.0,7.0,0.0,1.0,0.0,0.0,8.0,4.0,2.0,66.7
+Mattia Zaccagni,it ITA,FW,Lazio,26,1995,29.0,21.0,1876.0,4.0,5.0,0.0,0.0,6.0,0.0,0.19,0.24,0.43,0.19,0.43,3.2,3.2,0.15,0.15,20.8,10.0,0.0,30.3,0.48,0.12,0.4,0.1,0.8,0.8,592.0,740.0,80.0,8031.0,1714.0,373.0,426.0,87.6,161.0,201.0,80.1,22.0,46.0,47.8,27.0,24.0,21.0,0.0,55.0,716.0,23.0,4.0,1.0,7.0,41.0,3.0,0.0,0.0,0.0,16.0,1.0,20.0,62.0,2.97,46.0,1.0,4.0,7.0,13.0,0.62,7.0,0.0,1.0,4.0,0.0,33.0,16.0,10.0,13.0,10.0,17.0,2.0,15.0,20.0,5.0,0.0,977.0,12.0,106.0,397.0,484.0,98.0,977.0,671.0,85.0,36.0,36.0,781.0,41.0,12.0,0.0,29.0,74.0,2.0,1.0,0.0,0.0,86.0,12.0,19.0,38.7
+Denis Zakaria,ch SUI,MF,Juventus,24,1996,9.0,6.0,597.0,1.0,1.0,0.0,0.0,1.0,0.0,0.15,0.15,0.3,0.15,0.3,1.5,1.5,0.22,0.22,6.6,4.0,0.0,44.4,0.6,0.11,0.25,0.16,-0.5,-0.5,129.0,168.0,76.8,2066.0,760.0,64.0,74.0,86.5,51.0,58.0,87.9,11.0,16.0,68.8,3.0,14.0,3.0,0.0,14.0,167.0,0.0,0.0,0.0,0.0,5.0,0.0,0.0,0.0,0.0,0.0,1.0,12.0,9.0,1.36,5.0,0.0,2.0,1.0,1.0,0.15,1.0,0.0,0.0,0.0,0.0,11.0,7.0,3.0,6.0,2.0,16.0,3.0,13.0,11.0,7.0,0.0,237.0,10.0,62.0,111.0,68.0,15.0,237.0,114.0,8.0,9.0,0.0,136.0,11.0,7.0,0.0,11.0,4.0,0.0,0.0,0.0,0.0,27.0,2.0,8.0,20.0
+Nicola Zalewski,pl POL,DF,Roma,19,2002,16.0,9.0,793.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.4,0.05,0.05,8.8,4.0,0.0,44.4,0.45,0.0,0.0,0.05,-0.4,-0.4,397.0,507.0,78.3,6977.0,2079.0,183.0,202.0,90.6,167.0,201.0,83.1,41.0,83.0,49.4,10.0,21.0,9.0,3.0,22.0,400.0,105.0,14.0,0.0,1.0,31.0,7.0,3.0,4.0,0.0,84.0,2.0,10.0,25.0,2.83,17.0,3.0,2.0,2.0,1.0,0.11,1.0,0.0,0.0,0.0,0.0,32.0,19.0,17.0,11.0,4.0,18.0,1.0,17.0,16.0,4.0,0.0,635.0,6.0,201.0,294.0,155.0,13.0,635.0,316.0,43.0,24.0,8.0,354.0,16.0,7.0,0.0,9.0,20.0,1.0,0.0,0.0,0.0,66.0,2.0,10.0,16.7
+Andre-Frank Zambo Anguissa,cm CMR,MF,Napoli,25,1995,25.0,21.0,1926.0,0.0,1.0,0.0,0.0,5.0,0.0,0.0,0.05,0.05,0.0,0.05,1.1,1.1,0.05,0.05,21.4,3.0,0.0,15.0,0.14,0.0,0.0,0.06,-1.1,-1.1,1086.0,1216.0,89.3,15273.0,4206.0,640.0,678.0,94.4,340.0,376.0,90.4,50.0,70.0,71.4,23.0,114.0,17.0,4.0,126.0,1187.0,25.0,17.0,1.0,3.0,9.0,0.0,0.0,0.0,0.0,0.0,4.0,23.0,63.0,2.94,52.0,1.0,1.0,2.0,7.0,0.33,6.0,0.0,0.0,0.0,1.0,50.0,26.0,24.0,17.0,9.0,31.0,5.0,26.0,24.0,33.0,1.0,1490.0,47.0,271.0,893.0,338.0,45.0,1490.0,886.0,45.0,31.0,9.0,1091.0,46.0,23.0,0.0,38.0,28.0,0.0,0.0,0.0,0.0,139.0,29.0,21.0,58.0
+"Nicolò Zaniolo,it ITA,""FW,MF"",Roma,22,1999,28.0,23.0,1971.0,2.0,1.0,0.0,0.0,12.0,2.0,0.09,0.05,0.14,0.09,0.14,5.6,5.6,0.25,0.25,21.9,20.0,0.0,28.6,0.91,0.03,0.1,0.08,-3.6,-3.6,356.0,523.0,68.1,6166.0,1482.0,190.0,232.0,81.9,104.0,156.0,66.7,48.0,76.0,63.2,28.0,31.0,21.0,4.0,57.0,486.0,31.0,2.0,2.0,12.0,67.0,20.0,20.0,0.0,0.0,5.0,6.0,29.0,86.0,3.92,44.0,4.0,12.0,11.0,11.0,0.5,4.0,0.0,1.0,4.0,0.0,24.0,15.0,0.0,15.0,9.0,19.0,0.0,19.0,7.0,6.0,0.0,882.0,7.0,78.0,362.0,475.0,100.0,882.0,589.0,87.0,67.0,27.0,690.0,95.0,53.0,1.0,52.0,63.0,10.0,3.0,0.0,0.0,80.0,19.0,23.0,45.2"
+Alessandro Zanoli,it ITA,DF,Napoli,20,2000,12.0,5.0,457.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,5.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,231.0,286.0,80.8,3374.0,1189.0,133.0,147.0,90.5,80.0,98.0,81.6,11.0,20.0,55.0,2.0,9.0,5.0,1.0,17.0,246.0,40.0,3.0,1.0,1.0,4.0,1.0,0.0,0.0,0.0,36.0,0.0,11.0,6.0,1.18,5.0,0.0,0.0,0.0,1.0,0.2,1.0,0.0,0.0,0.0,0.0,10.0,7.0,6.0,3.0,1.0,2.0,1.0,1.0,4.0,16.0,0.0,333.0,22.0,110.0,167.0,60.0,3.0,333.0,174.0,11.0,8.0,3.0,212.0,5.0,2.0,0.0,9.0,2.0,0.0,0.0,0.0,0.0,23.0,4.0,3.0,57.1
+Mattia Zanotti,it ITA,DF,Inter,18,2003,1.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.0,12.0,100.0,150.0,23.0,7.0,7.0,100.0,5.0,5.0,100.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,10.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,1.0,10.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,13.0,0.0,3.0,1.0,9.0,1.0,13.0,10.0,0.0,0.0,0.0,10.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Duván Zapata,co COL,FW,Atalanta,30,1991,24.0,20.0,1722.0,10.0,4.0,3.0,3.0,3.0,0.0,0.52,0.21,0.73,0.37,0.57,13.5,11.2,0.71,0.58,19.1,31.0,0.0,39.7,1.62,0.09,0.23,0.14,-3.5,-4.2,407.0,548.0,74.3,5607.0,892.0,244.0,298.0,81.9,114.0,148.0,77.0,19.0,35.0,54.3,39.0,18.0,22.0,4.0,47.0,494.0,51.0,0.0,3.0,5.0,25.0,0.0,0.0,0.0,0.0,5.0,3.0,14.0,86.0,4.49,57.0,1.0,13.0,2.0,8.0,0.42,6.0,0.0,1.0,0.0,0.0,6.0,2.0,0.0,4.0,2.0,8.0,1.0,7.0,3.0,5.0,0.0,814.0,8.0,22.0,259.0,539.0,192.0,811.0,543.0,66.0,40.0,38.0,675.0,87.0,43.0,0.0,29.0,27.0,10.0,0.0,0.0,0.0,35.0,46.0,44.0,51.1
+Gabriele Zappa,it ITA,DF,Cagliari,21,1999,25.0,11.0,1144.0,0.0,0.0,0.0,0.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.6,0.6,0.05,0.05,12.7,2.0,0.0,33.3,0.16,0.0,0.0,0.1,-0.6,-0.6,454.0,609.0,74.5,7569.0,3354.0,246.0,284.0,86.6,158.0,206.0,76.7,45.0,84.0,53.6,7.0,33.0,6.0,5.0,41.0,512.0,95.0,11.0,0.0,2.0,25.0,0.0,0.0,0.0,0.0,84.0,2.0,25.0,19.0,1.49,17.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,21.0,9.0,12.0,6.0,3.0,15.0,5.0,10.0,14.0,28.0,0.0,744.0,46.0,272.0,321.0,161.0,11.0,744.0,414.0,22.0,23.0,2.0,441.0,18.0,10.0,1.0,16.0,11.0,0.0,0.0,0.0,0.0,68.0,12.0,9.0,57.1
+Davide Zappacosta,it ITA,DF,Atalanta,29,1992,34.0,29.0,2345.0,1.0,5.0,0.0,0.0,6.0,0.0,0.04,0.19,0.23,0.04,0.23,2.1,2.1,0.08,0.08,26.1,5.0,0.0,13.5,0.19,0.03,0.2,0.06,-1.1,-1.1,1238.0,1503.0,82.4,17825.0,6203.0,759.0,819.0,92.7,402.0,488.0,82.4,51.0,105.0,48.6,33.0,60.0,36.0,18.0,99.0,1262.0,236.0,21.0,1.0,2.0,88.0,4.0,1.0,0.0,0.0,211.0,5.0,40.0,72.0,2.76,51.0,3.0,8.0,3.0,8.0,0.31,6.0,0.0,1.0,1.0,0.0,32.0,22.0,12.0,13.0,7.0,32.0,2.0,30.0,12.0,22.0,0.0,1744.0,45.0,352.0,721.0,685.0,87.0,1744.0,1000.0,94.0,61.0,25.0,1206.0,29.0,23.0,0.0,31.0,31.0,7.0,2.0,0.0,0.0,124.0,5.0,12.0,29.4
+"Simone Zaza,it ITA,""FW,DF"",Torino,30,1991,10.0,0.0,129.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.71,0.71,1.4,3.0,0.0,37.5,2.09,0.0,0.0,0.13,-1.0,-1.0,31.0,42.0,73.8,448.0,77.0,17.0,20.0,85.0,11.0,15.0,73.3,1.0,4.0,25.0,0.0,0.0,2.0,0.0,3.0,41.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,2.0,1.41,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,3.0,0.0,3.0,0.0,3.0,0.0,71.0,5.0,8.0,24.0,41.0,12.0,71.0,35.0,2.0,4.0,1.0,51.0,10.0,6.0,0.0,5.0,2.0,2.0,0.0,0.0,0.0,6.0,10.0,8.0,55.6"
+Marvin Zeegelaar,nl NED,DF,Udinese,30,1990,14.0,6.0,643.0,0.0,0.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.1,0.02,0.02,7.1,0.0,0.0,0.0,0.0,0.0,0.0,0.04,-0.1,-0.1,246.0,319.0,77.1,4120.0,1846.0,114.0,138.0,82.6,103.0,131.0,78.6,20.0,32.0,62.5,1.0,17.0,1.0,0.0,23.0,286.0,32.0,4.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,27.0,1.0,4.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,15.0,11.0,6.0,8.0,1.0,12.0,4.0,8.0,12.0,22.0,1.0,398.0,34.0,167.0,191.0,46.0,5.0,398.0,166.0,4.0,6.0,0.0,200.0,5.0,2.0,0.0,13.0,4.0,2.0,0.0,1.0,0.0,43.0,13.0,7.0,65.0
+Piotr Zieliński,pl POL,MF,Napoli,27,1994,35.0,26.0,2086.0,6.0,5.0,0.0,0.0,1.0,0.0,0.26,0.22,0.47,0.26,0.47,3.4,3.4,0.15,0.15,23.2,15.0,1.0,34.9,0.65,0.14,0.4,0.08,2.6,2.6,954.0,1150.0,83.0,13218.0,3854.0,530.0,595.0,89.1,288.0,349.0,82.5,52.0,74.0,70.3,50.0,87.0,40.0,6.0,128.0,1069.0,75.0,9.0,4.0,1.0,35.0,28.0,7.0,7.0,0.0,3.0,6.0,24.0,92.0,3.96,73.0,7.0,4.0,3.0,14.0,0.6,11.0,2.0,1.0,0.0,0.0,19.0,12.0,5.0,9.0,5.0,13.0,2.0,11.0,8.0,4.0,0.0,1336.0,11.0,134.0,709.0,498.0,69.0,1336.0,795.0,50.0,47.0,3.0,1038.0,39.0,17.0,0.0,19.0,28.0,1.0,0.0,0.0,0.0,76.0,3.0,14.0,17.6
+David Zima,cz CZE,DF,Torino,20,2000,20.0,13.0,1314.0,0.0,0.0,0.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.7,0.7,0.05,0.05,14.6,3.0,0.0,50.0,0.21,0.0,0.0,0.11,-0.7,-0.7,516.0,611.0,84.5,8910.0,2319.0,207.0,241.0,85.9,269.0,297.0,90.6,34.0,53.0,64.2,5.0,22.0,4.0,0.0,24.0,599.0,12.0,11.0,1.0,1.0,3.0,0.0,0.0,0.0,0.0,1.0,0.0,6.0,9.0,0.62,8.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,20.0,12.0,8.0,11.0,1.0,15.0,13.0,2.0,23.0,42.0,0.0,755.0,71.0,331.0,346.0,79.0,12.0,755.0,407.0,7.0,12.0,1.0,456.0,9.0,5.0,0.0,16.0,5.0,1.0,0.0,1.0,0.0,57.0,45.0,40.0,52.9
+Jeroen Zoet,nl NED,GK,Spezia,30,1991,7.0,7.0,630.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,180.0,236.0,76.3,4540.0,3041.0,37.0,37.0,100.0,89.0,89.0,100.0,54.0,109.0,49.5,0.0,3.0,0.0,0.0,0.0,165.0,71.0,17.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.14,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,258.0,236.0,258.0,0.0,0.0,0.0,258.0,138.0,0.0,0.0,0.0,110.0,1.0,0.0,0.0,1.0,3.0,0.0,0.0,1.0,0.0,5.0,2.0,1.0,66.7
+"Nadir Zortea,it ITA,""DF,MF"",Salernitana,22,1999,29.0,13.0,1410.0,1.0,2.0,0.0,0.0,3.0,0.0,0.06,0.13,0.19,0.06,0.19,0.5,0.5,0.03,0.03,15.7,4.0,0.0,25.0,0.26,0.06,0.25,0.03,0.5,0.5,310.0,484.0,64.0,5579.0,2605.0,143.0,172.0,83.1,116.0,176.0,65.9,42.0,89.0,47.2,16.0,19.0,25.0,20.0,31.0,388.0,95.0,2.0,0.0,0.0,85.0,10.0,2.0,8.0,0.0,83.0,1.0,32.0,37.0,2.36,25.0,3.0,1.0,3.0,3.0,0.19,3.0,0.0,0.0,0.0,0.0,21.0,15.0,9.0,7.0,5.0,14.0,2.0,12.0,7.0,33.0,0.0,666.0,44.0,167.0,262.0,253.0,18.0,666.0,339.0,49.0,27.0,10.0,357.0,32.0,13.0,0.0,14.0,6.0,0.0,0.0,0.0,0.0,72.0,8.0,17.0,32.0"
+Petar Zovko,ba BIH,GK,Spezia,19,2002,1.0,0.0,29.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.0,10.0,70.0,186.0,93.0,1.0,1.0,100.0,4.0,4.0,100.0,2.0,5.0,40.0,0.0,0.0,0.0,0.0,0.0,7.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,3.1,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,11.0,10.0,11.0,0.0,0.0,0.0,11.0,3.0,0.0,0.0,0.0,4.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Szymon Żurkowski,pl POL,MF,Empoli,23,1997,35.0,29.0,2307.0,6.0,2.0,0.0,0.0,5.0,0.0,0.23,0.08,0.31,0.23,0.31,3.7,3.7,0.14,0.14,25.6,17.0,0.0,36.2,0.66,0.13,0.35,0.08,2.3,2.3,702.0,901.0,77.9,10301.0,2698.0,374.0,435.0,86.0,257.0,314.0,81.8,37.0,66.0,56.1,20.0,58.0,18.0,2.0,101.0,892.0,7.0,2.0,4.0,3.0,23.0,0.0,0.0,0.0,0.0,5.0,2.0,32.0,77.0,3.0,57.0,0.0,8.0,8.0,6.0,0.23,4.0,0.0,2.0,0.0,0.0,58.0,33.0,24.0,21.0,13.0,43.0,10.0,33.0,35.0,32.0,1.0,1278.0,62.0,288.0,575.0,439.0,58.0,1278.0,805.0,70.0,59.0,6.0,854.0,68.0,35.0,0.0,41.0,67.0,0.0,0.0,1.0,0.0,162.0,24.0,32.0,42.9
+Milan Đurić,ba BIH,FW,Salernitana,31,1990,33.0,23.0,2165.0,5.0,4.0,1.0,1.0,6.0,0.0,0.21,0.17,0.37,0.17,0.33,5.3,4.5,0.22,0.19,24.1,15.0,0.0,30.6,0.62,0.08,0.27,0.09,-0.3,-0.5,407.0,681.0,59.8,4642.0,897.0,288.0,461.0,62.5,78.0,134.0,58.2,6.0,8.0,75.0,33.0,19.0,5.0,1.0,35.0,668.0,10.0,1.0,0.0,0.0,2.0,0.0,0.0,0.0,0.0,2.0,3.0,6.0,58.0,2.41,43.0,0.0,10.0,4.0,8.0,0.33,5.0,0.0,2.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,6.0,1.0,5.0,2.0,32.0,0.0,870.0,36.0,66.0,421.0,386.0,146.0,869.0,373.0,7.0,12.0,1.0,731.0,37.0,20.0,0.0,24.0,45.0,6.0,1.0,0.0,0.0,40.0,242.0,83.0,74.5
+"Filip Đuričić,rs SRB,""MF,FW"",Sassuolo,29,1992,12.0,9.0,671.0,2.0,1.0,0.0,0.0,1.0,0.0,0.27,0.13,0.4,0.27,0.4,2.0,2.0,0.27,0.27,7.5,6.0,0.0,35.3,0.8,0.12,0.33,0.12,0.0,0.0,179.0,224.0,79.9,2580.0,765.0,107.0,125.0,85.6,58.0,68.0,85.3,8.0,8.0,100.0,11.0,14.0,16.0,0.0,28.0,215.0,9.0,2.0,2.0,1.0,0.0,0.0,0.0,0.0,0.0,4.0,0.0,11.0,26.0,3.48,19.0,0.0,1.0,0.0,2.0,0.27,2.0,0.0,0.0,0.0,0.0,13.0,10.0,7.0,1.0,5.0,7.0,1.0,6.0,4.0,1.0,0.0,308.0,9.0,43.0,137.0,135.0,24.0,308.0,215.0,25.0,20.0,8.0,243.0,19.0,14.0,0.0,10.0,14.0,2.0,0.0,0.0,0.0,34.0,3.0,5.0,37.5"
diff --git a/fbref_data/season2122/teams.csv b/fbref_data/season2122/teams.csv
index fb16d3a..27de5c2 100644
--- a/fbref_data/season2122/teams.csv
+++ b/fbref_data/season2122/teams.csv
@@ -1,21 +1,21 @@
-team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Atalanta,32.0,55.0,38.0,418.0,3420.0,62.0,48.0,5.0,6.0,87.0,2.0,1.63,1.26,2.89,1.5,2.76,71.2,66.9,1.87,1.76,38.0,38.0,3419.0,48.0,1.26,139.0,94.0,69.1,16.0,11.0,11.0,10.0,26.3,6.0,5.0,0.0,1.0,38.0,0.0,3.0,3.0,44.2,0.29,-0.8,-0.02,157.0,387.0,40.6,863.0,203.0,26.0,30.7,240.0,67.9,49.2,356.0,29.0,8.1,43.0,1.13,16.2,167.0,16.0,27.9,4.39,0.1,0.34,0.12,-9.2,-9.9,17108.0,21262.0,80.5,290904.0,103696.0,8272.0,9367.0,88.3,6741.0,7835.0,86.0,1583.0,2760.0,57.4,479.0,1384.0,425.0,81.0,1858.0,19318.0,1876.0,539.0,36.0,192.0,661.0,229.0,114.0,84.0,1.0,782.0,68.0,383.0,1078.0,28.37,776.0,98.0,69.0,87.0,32.0,110.0,2.89,88.0,2.0,8.0,8.0,3.0,1.0,630.0,341.0,252.0,271.0,107.0,299.0,635.0,47.1,336.0,436.0,96.0,340.0,441.0,483.0,6.0,25624.0,1875.0,6739.0,11602.0,7525.0,1135.0,25618.0,372.0,679.0,54.8,14869.0,796.0,631.0,257.0,16998.0,696.0,376.0,1.0,513.0,454.0,68.0,3.0,6.0,3.0,2292.0,685.0,518.0,56.9
-Bologna,36.0,50.6,38.0,418.0,3420.0,43.0,34.0,4.0,5.0,92.0,7.0,1.13,0.89,2.03,1.03,1.92,48.1,44.2,1.26,1.16,38.0,38.0,3420.0,55.0,1.45,184.0,130.0,74.5,12.0,10.0,16.0,13.0,34.2,9.0,8.0,1.0,0.0,38.0,1.0,3.0,2.0,56.2,0.26,3.2,0.08,198.0,482.0,41.1,994.0,170.0,39.3,34.1,308.0,29.5,27.0,525.0,29.0,5.5,14.0,0.37,11.2,143.0,14.0,32.9,3.76,0.09,0.27,0.1,-5.1,-5.2,14442.0,18249.0,79.1,246735.0,94908.0,6960.0,7925.0,87.8,5408.0,6437.0,84.0,1536.0,2701.0,56.9,343.0,1024.0,299.0,89.0,1276.0,16283.0,1910.0,590.0,58.0,109.0,601.0,183.0,103.0,21.0,1.0,730.0,56.0,317.0,777.0,20.45,599.0,71.0,26.0,41.0,34.0,76.0,2.0,59.0,7.0,2.0,5.0,3.0,0.0,530.0,298.0,261.0,202.0,67.0,216.0,528.0,40.9,312.0,384.0,127.0,257.0,371.0,678.0,5.0,22182.0,2573.0,7498.0,9928.0,4964.0,630.0,22177.0,326.0,598.0,54.5,11906.0,540.0,455.0,106.0,14304.0,563.0,302.0,4.0,443.0,497.0,56.0,3.0,9.0,2.0,1972.0,492.0,520.0,48.6
-Cagliari,33.0,44.5,38.0,418.0,3420.0,34.0,26.0,3.0,4.0,96.0,5.0,0.89,0.68,1.58,0.82,1.5,42.9,40.2,1.13,1.06,38.0,38.0,3420.0,68.0,1.79,185.0,115.0,67.0,6.0,12.0,20.0,3.0,7.9,10.0,7.0,3.0,0.0,38.0,5.0,10.0,1.0,58.8,0.28,-8.2,-0.22,343.0,765.0,44.8,962.0,122.0,53.0,39.5,344.0,74.1,48.4,526.0,23.0,4.4,34.0,0.89,14.9,117.0,17.0,27.9,3.08,0.07,0.26,0.1,-8.9,-9.2,11503.0,15761.0,73.0,221216.0,88886.0,4745.0,5714.0,83.0,4799.0,5957.0,80.6,1656.0,3147.0,52.6,317.0,853.0,226.0,93.0,1088.0,13729.0,1962.0,574.0,16.0,119.0,675.0,143.0,48.0,71.0,2.0,791.0,70.0,315.0,742.0,19.53,521.0,86.0,25.0,63.0,34.0,61.0,1.61,43.0,5.0,2.0,5.0,5.0,1.0,557.0,303.0,263.0,229.0,65.0,230.0,544.0,42.3,314.0,406.0,128.0,278.0,397.0,747.0,5.0,19877.0,2390.0,6906.0,8723.0,4452.0,643.0,19873.0,252.0,479.0,52.6,10278.0,474.0,393.0,83.0,11383.0,572.0,261.0,3.0,549.0,490.0,70.0,3.0,10.0,1.0,1995.0,696.0,742.0,48.4
-Empoli,28.0,47.4,38.0,418.0,3420.0,47.0,27.0,7.0,7.0,87.0,5.0,1.24,0.71,1.95,1.05,1.76,49.4,44.4,1.3,1.17,38.0,38.0,3420.0,70.0,1.84,216.0,150.0,69.9,10.0,11.0,17.0,7.0,18.4,10.0,5.0,2.0,3.0,38.0,1.0,5.0,6.0,65.2,0.28,1.2,0.03,133.0,386.0,34.5,1066.0,215.0,26.2,29.5,257.0,41.6,37.5,602.0,35.0,5.8,38.0,1.0,13.9,151.0,16.0,30.8,3.97,0.08,0.26,0.09,-2.4,-4.4,12796.0,16700.0,76.6,227799.0,91038.0,5530.0,6362.0,86.9,5584.0,6695.0,83.4,1315.0,2560.0,51.4,343.0,1013.0,337.0,72.0,1477.0,14627.0,1990.0,528.0,36.0,76.0,704.0,189.0,63.0,87.0,0.0,827.0,83.0,347.0,835.0,21.97,622.0,67.0,40.0,51.0,42.0,84.0,2.21,59.0,6.0,5.0,8.0,6.0,0.0,568.0,327.0,268.0,208.0,92.0,273.0,606.0,45.0,333.0,451.0,177.0,274.0,352.0,772.0,10.0,20894.0,2792.0,7114.0,8751.0,5240.0,789.0,20887.0,291.0,547.0,53.2,11739.0,658.0,438.0,129.0,12671.0,584.0,335.0,3.0,506.0,463.0,83.0,6.0,10.0,6.0,1998.0,427.0,549.0,43.8
-Fiorentina,28.0,57.7,38.0,418.0,3420.0,59.0,33.0,9.0,12.0,89.0,8.0,1.55,0.87,2.42,1.32,2.18,65.6,56.4,1.73,1.48,38.0,38.0,3418.0,51.0,1.34,126.0,75.0,61.9,19.0,5.0,14.0,11.0,28.9,5.0,3.0,2.0,0.0,38.0,0.0,3.0,2.0,39.8,0.28,-9.2,-0.24,240.0,561.0,42.8,1660.0,164.0,29.2,31.9,209.0,36.8,34.9,352.0,24.0,6.8,71.0,1.87,17.7,172.0,25.0,34.3,4.53,0.1,0.29,0.12,-6.6,-6.4,17418.0,20910.0,83.3,337614.0,110293.0,6638.0,7448.0,89.1,8158.0,9133.0,89.3,2366.0,3482.0,67.9,386.0,1211.0,346.0,105.0,1584.0,19005.0,1848.0,664.0,37.0,246.0,776.0,195.0,23.0,129.0,0.0,693.0,57.0,331.0,908.0,23.89,655.0,85.0,40.0,60.0,59.0,99.0,2.61,67.0,3.0,4.0,13.0,9.0,3.0,508.0,301.0,232.0,203.0,73.0,268.0,540.0,49.6,272.0,357.0,91.0,266.0,244.0,407.0,15.0,24439.0,2417.0,8057.0,10824.0,5796.0,923.0,24427.0,301.0,542.0,55.5,14623.0,755.0,546.0,184.0,17288.0,618.0,275.0,6.0,464.0,565.0,57.0,8.0,5.0,2.0,1885.0,469.0,456.0,50.7
-Genoa,40.0,43.9,38.0,418.0,3420.0,26.0,19.0,6.0,7.0,92.0,3.0,0.68,0.5,1.18,0.53,1.03,41.9,36.5,1.1,0.96,38.0,38.0,3420.0,60.0,1.58,184.0,125.0,69.6,4.0,16.0,18.0,10.0,26.3,5.0,4.0,1.0,0.0,38.0,3.0,7.0,2.0,51.6,0.26,-6.4,-0.17,263.0,626.0,42.0,946.0,103.0,46.4,36.7,270.0,69.3,46.1,490.0,16.0,3.3,20.0,0.53,12.8,106.0,12.0,26.7,2.79,0.05,0.19,0.09,-15.9,-16.5,11185.0,15587.0,71.8,198763.0,81665.0,5123.0,6155.0,83.2,4390.0,5629.0,78.0,1298.0,2719.0,47.7,281.0,829.0,211.0,74.0,1101.0,13605.0,1910.0,559.0,29.0,74.0,661.0,155.0,57.0,76.0,1.0,777.0,72.0,365.0,684.0,18.0,462.0,75.0,35.0,40.0,53.0,48.0,1.26,33.0,4.0,5.0,0.0,5.0,1.0,739.0,416.0,324.0,302.0,113.0,349.0,727.0,48.0,378.0,487.0,134.0,353.0,449.0,751.0,15.0,20229.0,2408.0,6913.0,9037.0,4503.0,696.0,20222.0,302.0,581.0,52.0,10185.0,517.0,384.0,133.0,11085.0,732.0,373.0,2.0,566.0,499.0,72.0,4.0,5.0,2.0,2228.0,635.0,743.0,46.1
-Hellas Verona,31.0,50.6,38.0,418.0,3420.0,63.0,44.0,7.0,8.0,100.0,7.0,1.66,1.16,2.82,1.47,2.63,57.6,51.3,1.52,1.35,38.0,38.0,3420.0,59.0,1.55,159.0,101.0,64.8,14.0,11.0,13.0,4.0,10.5,4.0,3.0,1.0,0.0,38.0,2.0,8.0,2.0,48.7,0.29,-8.3,-0.22,208.0,622.0,33.4,809.0,133.0,55.5,41.6,253.0,68.4,46.3,529.0,22.0,4.2,24.0,0.63,13.0,152.0,15.0,33.4,4.0,0.12,0.37,0.11,5.4,4.7,13047.0,17398.0,75.0,226861.0,89360.0,6087.0,7199.0,84.6,5057.0,6178.0,81.9,1410.0,2728.0,51.7,333.0,1046.0,350.0,71.0,1587.0,15513.0,1788.0,467.0,36.0,101.0,593.0,166.0,75.0,43.0,0.0,777.0,97.0,347.0,796.0,20.95,607.0,65.0,34.0,42.0,32.0,106.0,2.79,89.0,3.0,5.0,4.0,5.0,0.0,534.0,308.0,248.0,214.0,72.0,238.0,557.0,42.7,319.0,414.0,107.0,307.0,392.0,779.0,9.0,21791.0,2173.0,6491.0,10061.0,5483.0,883.0,21783.0,313.0,590.0,53.1,11502.0,677.0,468.0,175.0,12927.0,683.0,383.0,5.0,560.0,429.0,97.0,6.0,4.0,2.0,2413.0,689.0,733.0,48.5
-Inter,27.0,56.5,38.0,418.0,3420.0,83.0,57.0,7.0,11.0,71.0,0.0,2.18,1.5,3.68,2.0,3.5,88.4,80.5,2.33,2.12,38.0,38.0,3420.0,32.0,0.84,127.0,96.0,78.0,25.0,9.0,4.0,15.0,39.5,4.0,4.0,0.0,0.0,38.0,0.0,3.0,1.0,34.8,0.25,3.8,0.1,143.0,309.0,46.3,1137.0,178.0,24.5,28.2,146.0,20.5,26.6,397.0,15.0,3.8,11.0,0.29,11.3,239.0,13.0,35.8,6.29,0.11,0.32,0.12,-5.4,-4.5,18367.0,21832.0,84.1,329949.0,112120.0,8090.0,8994.0,89.9,7784.0,8750.0,89.0,2046.0,3033.0,67.5,503.0,1453.0,451.0,128.0,1778.0,20151.0,1624.0,448.0,54.0,207.0,809.0,252.0,73.0,141.0,2.0,630.0,57.0,339.0,1184.0,31.16,885.0,104.0,44.0,93.0,37.0,149.0,3.92,114.0,12.0,4.0,14.0,5.0,0.0,588.0,332.0,265.0,240.0,83.0,247.0,545.0,45.3,298.0,360.0,110.0,250.0,332.0,485.0,11.0,25692.0,2568.0,8099.0,11248.0,6574.0,1193.0,25680.0,255.0,471.0,54.1,15187.0,782.0,500.0,205.0,18155.0,544.0,245.0,0.0,466.0,412.0,57.0,7.0,4.0,1.0,2004.0,549.0,476.0,53.6
-Juventus,32.0,51.5,38.0,418.0,3420.0,56.0,37.0,5.0,6.0,77.0,2.0,1.47,0.97,2.45,1.34,2.32,57.3,52.6,1.51,1.38,38.0,38.0,3420.0,37.0,0.97,123.0,84.0,73.2,20.0,10.0,8.0,13.0,34.2,7.0,4.0,3.0,0.0,38.0,2.0,6.0,1.0,37.1,0.25,1.1,0.03,138.0,308.0,44.8,954.0,176.0,26.3,30.6,199.0,28.6,31.2,570.0,25.0,4.4,29.0,0.76,13.4,166.0,18.0,32.1,4.37,0.1,0.31,0.1,-1.3,-1.6,16459.0,19835.0,83.0,307159.0,106119.0,6680.0,7513.0,88.9,7417.0,8335.0,89.0,2015.0,3048.0,66.1,388.0,1266.0,305.0,79.0,1464.0,18065.0,1696.0,533.0,41.0,193.0,550.0,169.0,72.0,66.0,2.0,662.0,74.0,297.0,917.0,24.13,677.0,60.0,62.0,57.0,49.0,99.0,2.61,73.0,5.0,9.0,7.0,5.0,0.0,555.0,316.0,260.0,217.0,78.0,236.0,529.0,44.6,293.0,392.0,134.0,258.0,332.0,677.0,9.0,23918.0,2492.0,7794.0,11044.0,5316.0,885.0,23911.0,367.0,637.0,57.6,13534.0,701.0,483.0,184.0,16334.0,607.0,312.0,1.0,508.0,503.0,74.0,5.0,7.0,1.0,2008.0,550.0,440.0,55.6
-Lazio,27.0,55.4,38.0,418.0,3420.0,74.0,48.0,7.0,9.0,88.0,5.0,1.95,1.26,3.21,1.76,3.03,60.2,53.2,1.58,1.4,38.0,38.0,3420.0,58.0,1.53,146.0,89.0,63.7,18.0,10.0,10.0,9.0,23.7,6.0,5.0,0.0,1.0,38.0,1.0,5.0,1.0,52.2,0.33,-4.8,-0.13,145.0,294.0,49.3,1047.0,165.0,23.0,29.1,218.0,24.3,26.5,469.0,21.0,4.5,26.0,0.68,14.3,185.0,14.0,41.6,4.87,0.15,0.36,0.12,13.8,13.8,19632.0,23041.0,85.2,320296.0,109245.0,9873.0,10872.0,90.8,7249.0,8150.0,88.9,1711.0,2620.0,65.3,346.0,1399.0,309.0,53.0,1527.0,21310.0,1687.0,520.0,54.0,137.0,574.0,176.0,74.0,71.0,0.0,663.0,44.0,296.0,798.0,21.0,610.0,55.0,40.0,42.0,41.0,128.0,3.37,82.0,11.0,12.0,12.0,9.0,2.0,578.0,339.0,246.0,255.0,77.0,238.0,621.0,38.3,383.0,416.0,144.0,272.0,315.0,565.0,10.0,26867.0,2495.0,8040.0,13314.0,5750.0,804.0,26858.0,334.0,610.0,54.8,15747.0,788.0,563.0,183.0,19495.0,555.0,273.0,3.0,441.0,450.0,44.0,6.0,6.0,1.0,1941.0,411.0,427.0,49.0
-Milan,28.0,54.0,38.0,418.0,3420.0,66.0,39.0,5.0,8.0,76.0,3.0,1.74,1.03,2.76,1.61,2.63,68.2,62.6,1.79,1.65,38.0,38.0,3420.0,31.0,0.82,125.0,95.0,78.4,26.0,8.0,4.0,18.0,47.4,5.0,4.0,1.0,0.0,38.0,0.0,5.0,2.0,33.2,0.23,4.2,0.11,190.0,448.0,42.4,1173.0,178.0,32.1,33.1,185.0,38.4,36.2,429.0,31.0,7.2,48.0,1.26,16.1,187.0,23.0,31.6,4.92,0.1,0.33,0.11,-2.2,-1.6,15719.0,19320.0,81.4,283819.0,100444.0,6814.0,7777.0,87.6,6719.0,7647.0,87.9,1787.0,2874.0,62.2,436.0,1202.0,371.0,95.0,1486.0,17512.0,1728.0,564.0,45.0,122.0,672.0,195.0,61.0,86.0,0.0,653.0,80.0,297.0,1026.0,27.0,717.0,75.0,71.0,85.0,59.0,105.0,2.76,75.0,2.0,7.0,14.0,5.0,2.0,697.0,421.0,304.0,288.0,105.0,281.0,583.0,48.2,302.0,371.0,110.0,261.0,355.0,477.0,12.0,23508.0,2057.0,6814.0,10934.0,6067.0,987.0,23500.0,456.0,779.0,58.5,13143.0,806.0,583.0,198.0,15548.0,627.0,312.0,1.0,465.0,513.0,80.0,5.0,5.0,2.0,2167.0,521.0,517.0,50.2
-Napoli,27.0,58.3,38.0,418.0,3420.0,74.0,46.0,10.0,14.0,63.0,2.0,1.95,1.21,3.16,1.68,2.89,66.3,55.9,1.75,1.47,38.0,38.0,3420.0,31.0,0.82,136.0,106.0,77.9,24.0,7.0,7.0,16.0,42.1,1.0,1.0,0.0,0.0,38.0,0.0,3.0,1.0,34.1,0.25,4.1,0.11,86.0,222.0,38.7,1003.0,170.0,19.3,28.0,171.0,16.4,23.4,443.0,21.0,4.7,36.0,0.95,16.7,186.0,25.0,32.9,4.89,0.11,0.34,0.1,7.7,8.1,19572.0,22921.0,85.4,313472.0,105507.0,10332.0,11215.0,92.1,6928.0,7820.0,88.6,1611.0,2509.0,64.2,450.0,1389.0,366.0,57.0,1665.0,21114.0,1740.0,536.0,45.0,199.0,553.0,197.0,85.0,51.0,0.0,693.0,67.0,337.0,1021.0,26.87,778.0,63.0,57.0,53.0,48.0,126.0,3.32,89.0,9.0,3.0,11.0,10.0,4.0,550.0,327.0,246.0,227.0,77.0,268.0,617.0,43.4,349.0,371.0,108.0,263.0,296.0,510.0,8.0,26604.0,2258.0,7411.0,13013.0,6400.0,969.0,26590.0,357.0,595.0,60.0,16522.0,827.0,571.0,243.0,19439.0,525.0,294.0,0.0,460.0,482.0,67.0,9.0,1.0,1.0,1981.0,393.0,403.0,49.4
-Roma,29.0,51.4,38.0,418.0,3420.0,58.0,31.0,7.0,9.0,111.0,8.0,1.53,0.82,2.34,1.34,2.16,70.3,63.3,1.85,1.67,38.0,38.0,3420.0,43.0,1.13,146.0,104.0,74.0,18.0,9.0,11.0,15.0,39.5,6.0,5.0,1.0,0.0,38.0,2.0,5.0,2.0,42.2,0.25,1.2,0.03,174.0,393.0,44.3,854.0,141.0,37.7,34.2,222.0,32.0,31.5,393.0,12.0,3.1,26.0,0.68,14.3,184.0,21.0,31.1,4.84,0.09,0.28,0.11,-12.3,-12.3,15221.0,18828.0,80.8,286185.0,100442.0,6118.0,7018.0,87.2,6937.0,7898.0,87.8,1874.0,3044.0,61.6,434.0,1200.0,332.0,70.0,1587.0,16921.0,1847.0,548.0,45.0,136.0,735.0,238.0,130.0,95.0,0.0,748.0,60.0,292.0,1031.0,27.13,695.0,110.0,60.0,93.0,56.0,94.0,2.47,54.0,9.0,9.0,13.0,9.0,0.0,613.0,362.0,282.0,253.0,78.0,283.0,622.0,45.5,339.0,383.0,82.0,301.0,385.0,552.0,9.0,22920.0,2037.0,7038.0,10754.0,5378.0,950.0,22911.0,331.0,631.0,52.5,12532.0,733.0,538.0,178.0,15103.0,615.0,287.0,6.0,500.0,474.0,60.0,5.0,6.0,2.0,1980.0,524.0,441.0,54.3
-Salernitana,42.0,41.2,38.0,418.0,3420.0,32.0,19.0,4.0,5.0,94.0,5.0,0.84,0.5,1.34,0.74,1.24,42.2,38.6,1.11,1.02,38.0,38.0,3420.0,78.0,2.05,221.0,144.0,67.4,7.0,10.0,21.0,2.0,5.3,8.0,6.0,1.0,1.0,38.0,0.0,6.0,2.0,68.1,0.28,-7.9,-0.21,324.0,676.0,47.9,844.0,125.0,53.3,40.1,324.0,69.8,48.5,580.0,22.0,3.8,27.0,0.71,14.1,130.0,20.0,30.5,3.42,0.07,0.22,0.09,-10.2,-10.6,10679.0,14460.0,73.9,195781.0,85345.0,4825.0,5744.0,84.0,4093.0,5155.0,79.4,1387.0,2552.0,54.3,305.0,841.0,222.0,99.0,1031.0,12520.0,1899.0,576.0,12.0,90.0,698.0,185.0,56.0,111.0,1.0,695.0,41.0,320.0,739.0,19.45,500.0,85.0,35.0,55.0,54.0,58.0,1.53,33.0,7.0,3.0,8.0,7.0,0.0,541.0,321.0,274.0,208.0,59.0,277.0,579.0,47.8,302.0,394.0,146.0,248.0,353.0,777.0,3.0,18655.0,2352.0,6217.0,8257.0,4416.0,685.0,18650.0,314.0,586.0,53.6,9641.0,528.0,428.0,95.0,10597.0,616.0,330.0,3.0,494.0,522.0,41.0,4.0,8.0,2.0,1849.0,657.0,506.0,56.5
-Sampdoria,34.0,46.1,38.0,418.0,3420.0,42.0,29.0,2.0,4.0,94.0,4.0,1.11,0.76,1.87,1.05,1.82,41.2,37.9,1.09,1.0,38.0,38.0,3420.0,63.0,1.66,185.0,123.0,67.6,10.0,6.0,22.0,7.0,18.4,4.0,3.0,1.0,0.0,38.0,1.0,4.0,2.0,55.8,0.28,-5.2,-0.14,268.0,626.0,42.8,1072.0,162.0,39.9,35.5,288.0,68.8,47.0,583.0,29.0,5.0,27.0,0.71,12.8,118.0,12.0,30.6,3.11,0.1,0.34,0.1,0.8,2.1,12901.0,17022.0,75.8,235384.0,91587.0,5582.0,6565.0,85.0,5317.0,6436.0,82.6,1566.0,2904.0,53.9,295.0,921.0,266.0,89.0,1187.0,15064.0,1876.0,582.0,35.0,151.0,645.0,143.0,33.0,73.0,0.0,726.0,82.0,339.0,680.0,17.89,496.0,65.0,33.0,41.0,35.0,69.0,1.82,47.0,6.0,3.0,7.0,5.0,1.0,562.0,327.0,277.0,217.0,68.0,288.0,629.0,45.8,341.0,383.0,134.0,249.0,442.0,723.0,11.0,20985.0,2663.0,7609.0,9149.0,4408.0,639.0,20981.0,228.0,422.0,54.0,11438.0,467.0,358.0,79.0,12778.0,543.0,270.0,1.0,495.0,513.0,82.0,3.0,4.0,2.0,2044.0,609.0,506.0,54.6
-Sassuolo,29.0,54.9,38.0,418.0,3420.0,60.0,39.0,7.0,7.0,92.0,4.0,1.58,1.03,2.61,1.39,2.42,62.0,56.6,1.63,1.49,38.0,38.0,3420.0,66.0,1.74,177.0,111.0,67.2,13.0,11.0,14.0,3.0,7.9,9.0,8.0,1.0,0.0,38.0,0.0,11.0,1.0,58.5,0.28,-6.5,-0.17,188.0,436.0,43.1,1245.0,178.0,28.7,30.8,255.0,31.0,28.4,500.0,22.0,4.4,30.0,0.79,13.2,204.0,14.0,35.9,5.37,0.09,0.26,0.1,-2.0,-3.6,17027.0,20327.0,83.8,290090.0,104090.0,8123.0,8959.0,90.7,6598.0,7443.0,88.6,1724.0,2681.0,64.3,431.0,1178.0,316.0,55.0,1507.0,18421.0,1863.0,629.0,59.0,179.0,541.0,198.0,96.0,62.0,1.0,612.0,43.0,315.0,1010.0,26.58,795.0,56.0,72.0,37.0,38.0,104.0,2.74,80.0,4.0,10.0,2.0,8.0,0.0,482.0,271.0,252.0,163.0,67.0,236.0,574.0,41.1,338.0,422.0,127.0,295.0,314.0,664.0,19.0,24369.0,2657.0,8125.0,11171.0,5330.0,792.0,24362.0,403.0,678.0,59.4,14715.0,815.0,598.0,207.0,16865.0,601.0,386.0,2.0,461.0,479.0,43.0,6.0,9.0,1.0,1926.0,343.0,404.0,45.9
-Spezia,30.0,42.7,38.0,418.0,3420.0,38.0,25.0,3.0,5.0,88.0,4.0,1.0,0.66,1.66,0.92,1.58,42.3,38.5,1.11,1.01,38.0,38.0,3420.0,71.0,1.87,208.0,139.0,70.7,10.0,6.0,22.0,7.0,18.4,13.0,10.0,1.0,2.0,38.0,3.0,7.0,3.0,60.8,0.24,-7.2,-0.19,227.0,689.0,32.9,1147.0,177.0,44.4,38.6,285.0,63.2,48.8,575.0,30.0,5.2,33.0,0.87,12.5,127.0,17.0,33.3,3.34,0.09,0.28,0.1,-4.3,-3.5,11650.0,15503.0,75.1,210448.0,83575.0,5218.0,6112.0,85.4,4666.0,5591.0,83.5,1421.0,2833.0,50.2,280.0,827.0,209.0,60.0,999.0,13609.0,1817.0,509.0,32.0,92.0,534.0,152.0,76.0,58.0,2.0,731.0,77.0,318.0,663.0,17.45,469.0,59.0,45.0,40.0,38.0,61.0,1.61,39.0,4.0,3.0,9.0,3.0,3.0,580.0,343.0,301.0,205.0,74.0,266.0,585.0,45.5,319.0,465.0,176.0,289.0,372.0,736.0,8.0,19686.0,2657.0,7663.0,8066.0,4175.0,585.0,19681.0,292.0,546.0,53.5,10353.0,511.0,390.0,129.0,11519.0,649.0,353.0,1.0,508.0,439.0,77.0,4.0,13.0,3.0,1994.0,530.0,589.0,47.4
-Torino,31.0,53.3,38.0,418.0,3420.0,43.0,27.0,6.0,6.0,89.0,3.0,1.13,0.71,1.84,0.97,1.68,53.1,48.5,1.4,1.28,38.0,38.0,3420.0,41.0,1.08,124.0,81.0,74.2,13.0,11.0,14.0,9.0,23.7,11.0,9.0,2.0,0.0,38.0,2.0,4.0,0.0,37.1,0.21,-3.9,-0.1,251.0,871.0,28.8,1120.0,135.0,57.7,43.4,250.0,90.0,63.8,448.0,25.0,5.6,33.0,0.87,14.4,142.0,16.0,30.2,3.74,0.08,0.26,0.11,-10.1,-11.5,13943.0,18082.0,77.1,249442.0,87682.0,6255.0,7220.0,86.6,5904.0,6933.0,85.2,1434.0,2885.0,49.7,364.0,1153.0,271.0,95.0,1320.0,16280.0,1718.0,519.0,28.0,118.0,663.0,168.0,80.0,55.0,0.0,699.0,84.0,331.0,827.0,21.76,589.0,92.0,35.0,61.0,41.0,74.0,1.95,50.0,3.0,6.0,9.0,5.0,1.0,531.0,314.0,223.0,234.0,74.0,228.0,440.0,51.8,212.0,375.0,108.0,267.0,423.0,651.0,4.0,22240.0,1992.0,6337.0,10386.0,5725.0,744.0,22234.0,295.0,512.0,57.6,12481.0,628.0,538.0,156.0,13797.0,643.0,286.0,2.0,636.0,460.0,84.0,4.0,11.0,0.0,2113.0,781.0,891.0,46.7
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+Bologna,36.0,50.6,38.0,418.0,3420.0,43.0,34.0,4.0,5.0,92.0,7.0,1.13,0.89,2.03,1.03,1.92,44.9,41.0,1.18,1.08,38.0,38.0,3420.0,55.0,1.45,184.0,130.0,74.5,12.0,10.0,16.0,13.0,34.2,9.0,8.0,1.0,0.0,38.0,1.0,3.0,2.0,56.2,0.26,3.2,0.08,198.0,482.0,41.1,994.0,170.0,39.3,34.1,308.0,29.5,27.0,525.0,29.0,5.5,14.0,0.37,11.2,143.0,14.0,32.9,3.76,0.09,0.27,0.1,-1.9,-2.0,14442.0,18249.0,79.1,246735.0,94908.0,6960.0,7925.0,87.8,5408.0,6437.0,84.0,1536.0,2701.0,56.9,343.0,1024.0,299.0,89.0,1276.0,16283.0,1910.0,590.0,58.0,109.0,601.0,183.0,103.0,21.0,1.0,730.0,56.0,317.0,777.0,20.45,599.0,71.0,41.0,34.0,76.0,2.0,59.0,7.0,5.0,3.0,0.0,530.0,298.0,261.0,202.0,67.0,384.0,127.0,257.0,370.0,678.0,5.0,22181.0,2573.0,7497.0,9928.0,4964.0,630.0,22176.0,11905.0,540.0,455.0,106.0,14304.0,563.0,302.0,4.0,443.0,497.0,56.0,3.0,9.0,2.0,1972.0,492.0,520.0,48.6
+Cagliari,33.0,44.5,38.0,418.0,3420.0,34.0,26.0,3.0,4.0,96.0,5.0,0.89,0.68,1.58,0.82,1.5,39.0,36.4,1.03,0.96,38.0,38.0,3420.0,68.0,1.79,185.0,115.0,67.0,6.0,12.0,20.0,3.0,7.9,10.0,7.0,3.0,0.0,38.0,5.0,10.0,1.0,58.8,0.28,-8.2,-0.22,343.0,765.0,44.8,962.0,122.0,53.0,39.5,344.0,74.1,48.4,526.0,23.0,4.4,34.0,0.89,14.9,117.0,17.0,27.9,3.08,0.07,0.26,0.09,-5.0,-5.4,11503.0,15761.0,73.0,221202.0,88862.0,4745.0,5714.0,83.0,4799.0,5957.0,80.6,1656.0,3147.0,52.6,317.0,853.0,226.0,93.0,1088.0,13729.0,1962.0,574.0,16.0,119.0,675.0,143.0,48.0,71.0,2.0,791.0,70.0,315.0,742.0,19.53,521.0,86.0,63.0,34.0,61.0,1.61,43.0,5.0,5.0,5.0,1.0,557.0,303.0,263.0,229.0,65.0,406.0,128.0,278.0,397.0,747.0,5.0,19878.0,2390.0,6906.0,8724.0,4452.0,643.0,19874.0,10278.0,474.0,393.0,83.0,11383.0,572.0,261.0,3.0,549.0,490.0,70.0,3.0,10.0,1.0,1995.0,696.0,742.0,48.4
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+Spezia,30.0,42.7,38.0,418.0,3420.0,38.0,25.0,3.0,5.0,88.0,4.0,1.0,0.66,1.66,0.92,1.58,40.1,36.2,1.05,0.95,38.0,38.0,3420.0,71.0,1.87,208.0,139.0,70.7,10.0,6.0,22.0,7.0,18.4,13.0,10.0,1.0,2.0,38.0,3.0,7.0,3.0,60.8,0.24,-7.2,-0.19,227.0,689.0,32.9,1147.0,177.0,44.4,38.6,285.0,63.2,48.8,575.0,30.0,5.2,33.0,0.87,12.5,127.0,17.0,33.3,3.34,0.09,0.28,0.1,-2.1,-1.2,11650.0,15503.0,75.1,210448.0,83575.0,5218.0,6112.0,85.4,4666.0,5591.0,83.5,1421.0,2833.0,50.2,280.0,827.0,209.0,60.0,999.0,13609.0,1817.0,509.0,32.0,92.0,534.0,152.0,76.0,58.0,2.0,731.0,77.0,318.0,663.0,17.45,469.0,59.0,40.0,38.0,61.0,1.61,39.0,4.0,9.0,3.0,3.0,580.0,343.0,301.0,205.0,74.0,465.0,176.0,289.0,372.0,736.0,8.0,19686.0,2657.0,7663.0,8066.0,4175.0,585.0,19681.0,10353.0,511.0,390.0,129.0,11519.0,649.0,353.0,1.0,508.0,439.0,77.0,4.0,13.0,3.0,1994.0,530.0,589.0,47.4
+Torino,31.0,53.3,38.0,418.0,3420.0,43.0,27.0,6.0,6.0,89.0,3.0,1.13,0.71,1.84,0.97,1.68,48.7,44.1,1.28,1.16,38.0,38.0,3420.0,41.0,1.08,124.0,81.0,74.2,13.0,11.0,14.0,9.0,23.7,11.0,9.0,2.0,0.0,38.0,2.0,4.0,0.0,37.1,0.21,-3.9,-0.1,251.0,871.0,28.8,1120.0,135.0,57.7,43.4,250.0,90.0,63.8,448.0,25.0,5.6,33.0,0.87,14.4,142.0,16.0,30.2,3.74,0.08,0.26,0.1,-5.7,-7.1,13943.0,18082.0,77.1,249442.0,87682.0,6255.0,7220.0,86.6,5904.0,6933.0,85.2,1434.0,2885.0,49.7,364.0,1153.0,271.0,95.0,1320.0,16280.0,1718.0,519.0,28.0,118.0,663.0,168.0,80.0,55.0,0.0,699.0,84.0,331.0,827.0,21.76,589.0,92.0,61.0,41.0,74.0,1.95,50.0,3.0,9.0,5.0,1.0,531.0,314.0,223.0,234.0,74.0,375.0,108.0,267.0,423.0,651.0,4.0,22240.0,1992.0,6337.0,10386.0,5725.0,744.0,22234.0,12481.0,628.0,538.0,156.0,13797.0,643.0,286.0,2.0,636.0,460.0,84.0,4.0,11.0,0.0,2113.0,781.0,891.0,46.7
+Udinese,29.0,42.7,38.0,418.0,3420.0,58.0,36.0,3.0,4.0,95.0,6.0,1.53,0.95,2.47,1.45,2.39,51.3,48.2,1.35,1.27,38.0,38.0,3420.0,58.0,1.53,162.0,105.0,67.3,11.0,14.0,13.0,8.0,21.1,7.0,5.0,0.0,2.0,38.0,0.0,4.0,1.0,52.5,0.29,-4.5,-0.12,179.0,472.0,37.9,766.0,125.0,44.8,35.9,274.0,47.1,38.6,518.0,17.0,3.3,12.0,0.32,11.3,181.0,19.0,35.8,4.76,0.11,0.3,0.1,6.7,6.8,11650.0,15251.0,76.4,201058.0,80592.0,5511.0,6357.0,86.7,4617.0,5570.0,82.9,1128.0,2322.0,48.6,375.0,905.0,280.0,54.0,1226.0,13384.0,1789.0,523.0,37.0,80.0,519.0,187.0,64.0,75.0,1.0,688.0,78.0,297.0,860.0,22.63,582.0,88.0,68.0,51.0,92.0,2.42,54.0,8.0,13.0,8.0,1.0,622.0,350.0,282.0,271.0,69.0,432.0,122.0,310.0,351.0,671.0,12.0,19617.0,2307.0,6580.0,8424.0,4863.0,847.0,19613.0,10325.0,669.0,464.0,205.0,11548.0,653.0,334.0,3.0,564.0,461.0,78.0,4.0,7.0,1.0,2027.0,453.0,534.0,45.9
+Venezia,39.0,42.3,38.0,418.0,3420.0,34.0,23.0,3.0,5.0,110.0,9.0,0.89,0.61,1.5,0.82,1.42,36.5,32.4,0.96,0.85,38.0,38.0,3420.0,69.0,1.82,228.0,161.0,74.6,6.0,9.0,23.0,4.0,10.5,12.0,11.0,0.0,1.0,38.0,0.0,5.0,2.0,68.2,0.26,1.2,0.03,182.0,516.0,35.3,977.0,213.0,38.9,34.5,329.0,41.3,36.3,640.0,22.0,3.4,24.0,0.63,11.5,113.0,22.0,32.4,2.97,0.09,0.27,0.09,-2.5,-1.4,11575.0,15320.0,75.6,214514.0,84877.0,4947.0,5783.0,85.5,4826.0,5800.0,83.2,1487.0,2780.0,53.5,250.0,802.0,215.0,77.0,1088.0,13487.0,1772.0,493.0,27.0,113.0,585.0,123.0,57.0,54.0,0.0,714.0,61.0,335.0,617.0,16.24,440.0,56.0,31.0,46.0,57.0,1.5,41.0,4.0,5.0,6.0,0.0,613.0,352.0,325.0,217.0,71.0,495.0,202.0,293.0,388.0,865.0,13.0,19705.0,2975.0,8135.0,7823.0,3969.0,548.0,19701.0,10506.0,540.0,378.0,103.0,11485.0,609.0,313.0,2.0,522.0,457.0,61.0,5.0,12.0,2.0,1942.0,564.0,583.0,49.2
diff --git a/fbref_data/season2122/teams_vs.csv b/fbref_data/season2122/teams_vs.csv
index d642be9..81d9561 100644
--- a/fbref_data/season2122/teams_vs.csv
+++ b/fbref_data/season2122/teams_vs.csv
@@ -1,21 +1,21 @@
-team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-vs Atalanta,32.0,44.9,38.0,418.0,3420.0,45.0,29.0,5.0,6.0,94.0,1.0,1.18,0.76,1.95,1.05,1.82,50.4,45.6,1.33,1.2,38.0,38.0,3420.0,65.0,1.71,172.0,110.0,65.1,11.0,11.0,16.0,9.0,23.7,6.0,5.0,0.0,1.0,38.0,0.0,2.0,3.0,54.5,0.29,-7.5,-0.2,260.0,725.0,35.9,1280.0,121.0,44.2,37.0,284.0,56.0,42.1,518.0,17.0,3.3,32.0,0.84,14.1,134.0,19.0,34.8,3.53,0.1,0.3,0.12,-5.4,-5.6,13368.0,17503.0,76.4,240357.0,96471.0,6038.0,7014.0,86.1,5388.0,6478.0,83.2,1560.0,2901.0,53.8,287.0,969.0,221.0,61.0,1122.0,15571.0,1863.0,555.0,47.0,116.0,468.0,134.0,60.0,39.0,1.0,737.0,69.0,366.0,674.0,17.74,508.0,42.0,44.0,38.0,34.0,75.0,1.97,52.0,6.0,4.0,7.0,6.0,0.0,683.0,407.0,385.0,234.0,64.0,307.0,679.0,45.2,372.0,515.0,184.0,331.0,429.0,721.0,8.0,21980.0,2922.0,8407.0,9524.0,4272.0,611.0,21974.0,336.0,635.0,52.9,11343.0,514.0,367.0,144.0,13208.0,657.0,331.0,1.0,491.0,488.0,69.0,4.0,6.0,3.0,2240.0,518.0,685.0,43.1
-vs Bologna,36.0,49.3,38.0,418.0,3420.0,53.0,32.0,8.0,9.0,83.0,4.0,1.39,0.84,2.24,1.18,2.03,59.7,52.5,1.57,1.38,38.0,38.0,3420.0,44.0,1.16,147.0,104.0,72.8,16.0,10.0,12.0,12.0,31.6,5.0,4.0,0.0,1.0,38.0,1.0,9.0,1.0,41.8,0.26,-1.2,-0.03,173.0,466.0,37.1,904.0,160.0,39.2,35.8,230.0,48.7,39.7,481.0,30.0,6.2,34.0,0.89,13.9,175.0,21.0,33.0,4.61,0.08,0.26,0.1,-6.7,-7.5,14274.0,17993.0,79.3,250689.0,89431.0,6555.0,7470.0,87.8,5582.0,6604.0,84.5,1627.0,2789.0,58.3,396.0,1245.0,312.0,83.0,1454.0,16244.0,1661.0,465.0,39.0,153.0,680.0,167.0,66.0,74.0,1.0,691.0,88.0,297.0,954.0,25.11,713.0,72.0,45.0,56.0,52.0,89.0,2.34,63.0,4.0,4.0,8.0,9.0,1.0,574.0,321.0,237.0,231.0,106.0,272.0,598.0,45.5,326.0,383.0,108.0,275.0,376.0,618.0,8.0,22070.0,2103.0,6136.0,9931.0,6221.0,876.0,22062.0,312.0,531.0,58.8,12486.0,790.0,590.0,199.0,14153.0,643.0,314.0,2.0,527.0,416.0,88.0,8.0,5.0,1.0,2032.0,520.0,492.0,51.4
-vs Cagliari,33.0,55.6,38.0,418.0,3420.0,67.0,41.0,7.0,10.0,74.0,5.0,1.76,1.08,2.84,1.58,2.66,64.6,57.0,1.7,1.5,38.0,38.0,3419.0,34.0,0.89,121.0,86.0,74.4,20.0,12.0,6.0,14.0,36.8,4.0,3.0,1.0,0.0,38.0,1.0,4.0,0.0,36.6,0.27,2.6,0.07,170.0,461.0,36.9,1006.0,161.0,34.7,33.4,241.0,46.5,38.8,512.0,21.0,4.1,34.0,0.89,14.5,175.0,20.0,32.1,4.61,0.11,0.34,0.11,2.4,3.0,15763.0,19924.0,79.1,276729.0,102189.0,7231.0,8273.0,87.4,6483.0,7634.0,84.9,1621.0,2904.0,55.8,396.0,1173.0,382.0,88.0,1597.0,17954.0,1894.0,586.0,56.0,123.0,693.0,199.0,68.0,78.0,1.0,786.0,76.0,330.0,940.0,24.74,675.0,87.0,51.0,64.0,48.0,114.0,3.0,81.0,6.0,8.0,9.0,9.0,1.0,488.0,275.0,209.0,212.0,67.0,227.0,479.0,47.4,252.0,390.0,117.0,273.0,306.0,637.0,9.0,23942.0,2208.0,7251.0,11080.0,5841.0,912.0,23932.0,314.0,545.0,57.6,12644.0,713.0,500.0,150.0,15634.0,655.0,327.0,1.0,526.0,524.0,76.0,6.0,4.0,0.0,2112.0,742.0,696.0,51.6
-vs Empoli,28.0,52.9,38.0,418.0,3420.0,64.0,44.0,5.0,10.0,80.0,1.0,1.68,1.16,2.84,1.55,2.71,76.2,68.7,2.01,1.81,38.0,38.0,3420.0,50.0,1.32,158.0,111.0,72.8,17.0,11.0,10.0,9.0,23.7,7.0,7.0,0.0,0.0,38.0,0.0,6.0,3.0,41.1,0.22,-5.9,-0.16,204.0,477.0,42.8,1000.0,200.0,36.7,35.5,251.0,43.8,37.3,532.0,22.0,4.1,32.0,0.84,14.1,209.0,13.0,31.8,5.5,0.09,0.28,0.11,-12.2,-9.7,14955.0,18693.0,80.0,270778.0,103998.0,6818.0,7698.0,88.6,5689.0,6745.0,84.3,1970.0,3134.0,62.9,523.0,1209.0,418.0,107.0,1678.0,16720.0,1907.0,561.0,48.0,250.0,787.0,217.0,91.0,76.0,0.0,743.0,66.0,327.0,1205.0,31.71,880.0,116.0,50.0,97.0,39.0,114.0,3.0,88.0,5.0,5.0,11.0,4.0,1.0,590.0,361.0,283.0,215.0,92.0,255.0,546.0,46.7,291.0,434.0,142.0,292.0,377.0,706.0,7.0,23120.0,2464.0,7208.0,9514.0,6634.0,1132.0,23110.0,333.0,606.0,55.0,12901.0,823.0,559.0,267.0,14820.0,655.0,295.0,0.0,488.0,482.0,66.0,7.0,7.0,3.0,2051.0,549.0,427.0,56.3
-vs Fiorentina,28.0,41.8,38.0,418.0,3420.0,49.0,33.0,3.0,5.0,103.0,4.0,1.29,0.87,2.16,1.21,2.08,46.1,42.4,1.21,1.12,38.0,38.0,3420.0,59.0,1.55,183.0,122.0,72.7,14.0,5.0,19.0,7.0,18.4,12.0,9.0,2.0,1.0,38.0,4.0,4.0,0.0,60.1,0.28,1.1,0.03,238.0,595.0,40.0,1190.0,153.0,37.6,33.7,281.0,52.3,38.1,597.0,24.0,4.0,22.0,0.58,12.4,121.0,7.0,34.5,3.18,0.13,0.38,0.12,2.9,3.6,11993.0,15395.0,77.9,211718.0,82263.0,5399.0,6137.0,88.0,4923.0,5761.0,85.5,1264.0,2443.0,51.7,261.0,714.0,198.0,53.0,979.0,13564.0,1712.0,506.0,54.0,77.0,437.0,127.0,48.0,57.0,0.0,657.0,119.0,292.0,593.0,15.61,404.0,58.0,37.0,35.0,43.0,86.0,2.26,62.0,7.0,5.0,3.0,5.0,4.0,515.0,289.0,264.0,191.0,60.0,240.0,541.0,44.4,301.0,386.0,119.0,267.0,351.0,687.0,4.0,19162.0,2819.0,7794.0,8009.0,3575.0,593.0,19157.0,272.0,541.0,50.3,10277.0,480.0,352.0,123.0,11875.0,558.0,240.0,3.0,585.0,441.0,119.0,4.0,12.0,0.0,1825.0,456.0,469.0,49.3
-vs Genoa,40.0,56.1,38.0,418.0,3420.0,58.0,35.0,4.0,5.0,82.0,1.0,1.53,0.92,2.45,1.42,2.34,58.3,54.4,1.53,1.43,38.0,38.0,3420.0,27.0,0.71,113.0,86.0,81.4,18.0,16.0,4.0,20.0,52.6,7.0,6.0,1.0,0.0,38.0,0.0,2.0,1.0,31.3,0.22,5.3,0.14,206.0,504.0,40.9,1088.0,144.0,33.4,32.7,243.0,58.0,43.6,516.0,30.0,5.8,20.0,0.53,12.9,179.0,20.0,33.4,4.71,0.1,0.3,0.1,-0.3,-0.4,15866.0,20272.0,78.3,290094.0,105055.0,6924.0,8090.0,85.6,6679.0,7878.0,84.8,1900.0,3139.0,60.5,388.0,1165.0,338.0,79.0,1572.0,18174.0,2039.0,609.0,35.0,157.0,648.0,192.0,60.0,87.0,2.0,888.0,59.0,410.0,934.0,24.58,676.0,82.0,52.0,66.0,49.0,98.0,2.58,70.0,5.0,7.0,11.0,5.0,0.0,651.0,370.0,277.0,304.0,70.0,278.0,580.0,47.9,302.0,418.0,105.0,313.0,350.0,736.0,7.0,24827.0,2343.0,7825.0,11265.0,5983.0,908.0,24821.0,378.0,727.0,52.0,14100.0,684.0,517.0,165.0,15731.0,670.0,390.0,0.0,523.0,530.0,59.0,4.0,7.0,1.0,2257.0,743.0,635.0,53.9
-vs Hellas Verona,31.0,49.4,38.0,418.0,3420.0,57.0,38.0,3.0,4.0,74.0,3.0,1.5,1.0,2.5,1.42,2.42,53.7,50.4,1.41,1.33,38.0,38.0,3420.0,65.0,1.71,159.0,96.0,63.5,13.0,11.0,14.0,6.0,15.8,8.0,7.0,0.0,1.0,38.0,0.0,2.0,2.0,51.8,0.29,-11.2,-0.3,290.0,768.0,37.8,1196.0,139.0,48.8,38.5,269.0,68.4,48.3,445.0,11.0,2.5,34.0,0.89,15.6,155.0,20.0,33.0,4.08,0.11,0.35,0.11,3.3,3.6,12510.0,17056.0,73.3,224835.0,92566.0,5616.0,6705.0,83.8,4959.0,6187.0,80.2,1503.0,3030.0,49.6,350.0,983.0,282.0,94.0,1159.0,14925.0,2099.0,630.0,30.0,87.0,682.0,187.0,72.0,79.0,1.0,850.0,32.0,368.0,817.0,21.5,588.0,82.0,43.0,49.0,48.0,99.0,2.61,71.0,9.0,4.0,10.0,5.0,0.0,659.0,368.0,305.0,287.0,67.0,276.0,589.0,46.9,313.0,425.0,117.0,308.0,425.0,569.0,16.0,21245.0,2399.0,6985.0,9676.0,4855.0,773.0,21241.0,319.0,557.0,57.3,11333.0,568.0,474.0,150.0,12349.0,668.0,296.0,0.0,463.0,534.0,32.0,3.0,8.0,2.0,2206.0,733.0,689.0,51.5
-vs Inter,27.0,43.4,38.0,418.0,3420.0,31.0,19.0,4.0,4.0,79.0,5.0,0.82,0.5,1.32,0.71,1.21,44.1,41.0,1.16,1.08,38.0,38.0,3420.0,84.0,2.21,248.0,163.0,69.0,4.0,9.0,25.0,3.0,7.9,11.0,7.0,2.0,2.0,38.0,1.0,12.0,1.0,75.3,0.27,-7.7,-0.2,175.0,497.0,35.2,1011.0,194.0,32.8,34.0,321.0,51.4,41.5,628.0,29.0,4.6,27.0,0.71,13.1,123.0,13.0,30.9,3.24,0.07,0.22,0.11,-13.1,-14.0,13450.0,16669.0,80.7,238181.0,85007.0,6154.0,6960.0,88.4,5370.0,6191.0,86.7,1535.0,2614.0,58.7,298.0,856.0,227.0,63.0,1095.0,14983.0,1652.0,503.0,21.0,112.0,516.0,131.0,63.0,50.0,0.0,562.0,34.0,290.0,680.0,17.89,485.0,53.0,35.0,59.0,32.0,46.0,1.21,33.0,1.0,1.0,6.0,4.0,1.0,461.0,251.0,230.0,172.0,59.0,216.0,471.0,45.9,255.0,447.0,172.0,275.0,395.0,832.0,8.0,20754.0,2862.0,7712.0,9059.0,4209.0,606.0,20750.0,298.0,545.0,54.7,11791.0,569.0,497.0,118.0,13372.0,522.0,341.0,1.0,440.0,441.0,34.0,3.0,11.0,1.0,1767.0,476.0,549.0,46.4
-vs Juventus,32.0,48.3,38.0,418.0,3420.0,36.0,21.0,4.0,7.0,94.0,4.0,0.95,0.55,1.5,0.84,1.39,42.8,37.3,1.13,0.98,38.0,38.0,3420.0,57.0,1.5,171.0,115.0,69.6,8.0,10.0,20.0,5.0,13.2,6.0,5.0,0.0,1.0,38.0,0.0,7.0,1.0,50.3,0.27,-5.7,-0.15,205.0,519.0,39.5,916.0,135.0,40.8,35.4,286.0,50.7,40.0,443.0,17.0,3.8,26.0,0.68,12.6,116.0,16.0,26.5,3.05,0.07,0.28,0.09,-6.8,-5.3,15048.0,18611.0,80.9,259037.0,89310.0,7165.0,8074.0,88.7,5986.0,6954.0,86.1,1453.0,2545.0,57.1,337.0,1214.0,288.0,81.0,1471.0,16719.0,1857.0,556.0,22.0,123.0,730.0,197.0,81.0,77.0,0.0,682.0,35.0,311.0,760.0,20.0,567.0,70.0,29.0,43.0,33.0,58.0,1.53,37.0,4.0,2.0,8.0,6.0,1.0,582.0,334.0,277.0,224.0,81.0,270.0,637.0,42.4,367.0,389.0,120.0,269.0,364.0,570.0,12.0,22486.0,2318.0,6536.0,10230.0,5924.0,704.0,22479.0,293.0,529.0,55.4,13023.0,719.0,588.0,141.0,14939.0,599.0,319.0,2.0,525.0,471.0,35.0,5.0,6.0,1.0,1894.0,440.0,550.0,44.4
-vs Lazio,27.0,44.4,38.0,418.0,3420.0,57.0,40.0,5.0,6.0,100.0,7.0,1.5,1.05,2.55,1.37,2.42,51.9,47.3,1.37,1.24,38.0,38.0,3420.0,77.0,2.03,194.0,118.0,63.9,10.0,10.0,18.0,6.0,15.8,9.0,7.0,2.0,0.0,38.0,0.0,5.0,3.0,64.8,0.29,-9.2,-0.24,194.0,452.0,42.9,1106.0,182.0,29.7,31.0,238.0,51.7,40.8,443.0,20.0,4.5,32.0,0.84,13.2,141.0,13.0,30.4,3.71,0.11,0.37,0.1,5.1,4.7,15276.0,18668.0,81.8,278250.0,92945.0,6571.0,7369.0,89.2,6643.0,7517.0,88.4,1698.0,2822.0,60.2,347.0,954.0,308.0,88.0,1293.0,16963.0,1632.0,463.0,36.0,178.0,602.0,146.0,63.0,46.0,0.0,651.0,73.0,309.0,806.0,21.21,585.0,73.0,42.0,53.0,37.0,101.0,2.66,72.0,7.0,6.0,7.0,8.0,1.0,547.0,319.0,243.0,223.0,81.0,274.0,608.0,45.1,334.0,351.0,89.0,262.0,398.0,621.0,14.0,22493.0,2709.0,8413.0,9788.0,4540.0,751.0,22487.0,383.0,621.0,61.7,13377.0,579.0,442.0,129.0,15165.0,535.0,340.0,3.0,474.0,418.0,73.0,6.0,9.0,3.0,1956.0,427.0,411.0,51.0
-vs Milan,28.0,45.8,38.0,418.0,3420.0,29.0,19.0,4.0,5.0,91.0,6.0,0.76,0.5,1.26,0.66,1.16,40.4,36.6,1.06,0.96,38.0,38.0,3420.0,69.0,1.82,193.0,126.0,66.8,4.0,8.0,26.0,4.0,10.5,8.0,5.0,1.0,2.0,38.0,4.0,4.0,3.0,59.9,0.29,-6.1,-0.16,258.0,539.0,47.9,973.0,156.0,40.1,34.7,291.0,51.2,39.5,534.0,24.0,4.5,27.0,0.71,13.6,120.0,9.0,30.3,3.16,0.06,0.21,0.09,-11.4,-11.6,12864.0,16396.0,78.5,229255.0,94501.0,5935.0,6808.0,87.2,5054.0,6043.0,83.6,1490.0,2558.0,58.2,305.0,985.0,229.0,62.0,1298.0,14572.0,1761.0,526.0,25.0,167.0,533.0,159.0,74.0,63.0,1.0,650.0,63.0,298.0,675.0,17.76,490.0,64.0,31.0,48.0,31.0,45.0,1.18,29.0,4.0,1.0,7.0,2.0,2.0,635.0,352.0,318.0,250.0,67.0,323.0,779.0,41.5,456.0,431.0,158.0,273.0,356.0,722.0,16.0,20652.0,2592.0,7383.0,9057.0,4455.0,603.0,20647.0,302.0,584.0,51.7,11138.0,542.0,439.0,101.0,12736.0,686.0,416.0,2.0,533.0,440.0,63.0,3.0,8.0,3.0,2106.0,517.0,521.0,49.8
-vs Napoli,27.0,41.5,38.0,418.0,3420.0,30.0,19.0,1.0,1.0,101.0,9.0,0.79,0.5,1.29,0.76,1.26,36.8,36.1,0.97,0.95,38.0,38.0,3420.0,74.0,1.95,199.0,122.0,67.8,7.0,7.0,24.0,4.0,10.5,14.0,10.0,3.0,1.0,38.0,0.0,8.0,0.0,61.1,0.25,-12.9,-0.34,208.0,501.0,41.5,1016.0,159.0,36.5,34.1,257.0,50.6,39.7,422.0,19.0,4.5,35.0,0.92,14.3,135.0,17.0,32.3,3.55,0.07,0.21,0.09,-6.8,-7.1,12959.0,16201.0,80.0,232814.0,87453.0,5743.0,6523.0,88.0,5501.0,6279.0,87.6,1392.0,2506.0,55.5,311.0,989.0,259.0,61.0,1254.0,14495.0,1646.0,507.0,37.0,120.0,552.0,145.0,58.0,69.0,0.0,603.0,60.0,301.0,726.0,19.11,542.0,60.0,35.0,42.0,37.0,52.0,1.37,39.0,3.0,3.0,5.0,2.0,0.0,532.0,320.0,248.0,220.0,64.0,238.0,595.0,40.0,357.0,455.0,155.0,300.0,397.0,613.0,19.0,20179.0,2498.0,6985.0,8946.0,4466.0,661.0,20178.0,349.0,617.0,56.6,11020.0,565.0,434.0,135.0,12847.0,567.0,282.0,5.0,517.0,415.0,60.0,0.0,14.0,0.0,1963.0,403.0,393.0,50.6
-vs Roma,29.0,48.6,38.0,418.0,3420.0,41.0,23.0,5.0,6.0,106.0,8.0,1.08,0.61,1.68,0.95,1.55,41.8,37.7,1.1,0.99,38.0,38.0,3418.0,59.0,1.55,193.0,133.0,73.1,11.0,9.0,18.0,7.0,18.4,9.0,7.0,2.0,0.0,38.0,3.0,11.0,1.0,61.0,0.28,3.0,0.08,166.0,460.0,36.1,1005.0,191.0,31.2,32.2,301.0,48.5,38.8,574.0,30.0,5.2,33.0,0.87,12.7,140.0,18.0,37.9,3.68,0.1,0.26,0.11,-0.8,-1.7,14445.0,17956.0,80.4,250292.0,91379.0,6695.0,7514.0,89.1,5805.0,6688.0,86.8,1498.0,2655.0,56.4,284.0,1046.0,231.0,62.0,1275.0,16098.0,1777.0,535.0,24.0,132.0,504.0,133.0,53.0,64.0,0.0,684.0,81.0,340.0,667.0,17.55,504.0,46.0,35.0,30.0,44.0,68.0,1.79,43.0,5.0,5.0,8.0,7.0,0.0,586.0,361.0,290.0,226.0,70.0,299.0,630.0,47.5,331.0,402.0,165.0,237.0,383.0,722.0,5.0,22109.0,2591.0,7351.0,10357.0,4604.0,593.0,22102.0,339.0,622.0,54.5,12551.0,646.0,444.0,121.0,14320.0,639.0,330.0,5.0,497.0,477.0,81.0,5.0,9.0,1.0,1970.0,441.0,524.0,45.7
-vs Salernitana,42.0,59.0,38.0,418.0,3420.0,76.0,58.0,6.0,8.0,98.0,8.0,2.0,1.53,3.53,1.84,3.37,71.2,65.1,1.87,1.71,38.0,38.0,3420.0,33.0,0.87,135.0,102.0,78.5,21.0,10.0,7.0,16.0,42.1,5.0,4.0,1.0,0.0,38.0,4.0,5.0,1.0,35.1,0.24,3.1,0.08,126.0,332.0,38.0,937.0,169.0,27.3,31.1,194.0,39.2,36.0,548.0,29.0,5.3,23.0,0.61,13.3,214.0,25.0,36.7,5.63,0.12,0.33,0.11,4.8,4.9,17458.0,21188.0,82.4,304735.0,104442.0,8056.0,8997.0,89.5,7042.0,8099.0,86.9,1828.0,2930.0,62.4,446.0,1346.0,395.0,90.0,1705.0,19440.0,1685.0,496.0,57.0,185.0,745.0,233.0,92.0,101.0,1.0,669.0,63.0,292.0,1049.0,27.61,779.0,86.0,55.0,67.0,48.0,137.0,3.61,105.0,8.0,9.0,9.0,5.0,1.0,602.0,341.0,267.0,244.0,91.0,272.0,586.0,46.4,314.0,373.0,114.0,259.0,316.0,702.0,12.0,25329.0,2196.0,7170.0,11831.0,6586.0,1016.0,25321.0,302.0,579.0,52.2,14844.0,840.0,580.0,209.0,17340.0,566.0,264.0,4.0,546.0,463.0,63.0,6.0,5.0,1.0,2043.0,506.0,657.0,43.5
-vs Sampdoria,34.0,54.1,38.0,418.0,3420.0,61.0,41.0,3.0,4.0,82.0,2.0,1.61,1.08,2.68,1.53,2.61,62.2,59.2,1.64,1.56,38.0,38.0,3420.0,46.0,1.21,122.0,78.0,63.9,22.0,6.0,10.0,12.0,31.6,4.0,2.0,2.0,0.0,38.0,1.0,6.0,4.0,36.0,0.27,-6.0,-0.16,170.0,435.0,39.1,959.0,142.0,36.2,34.0,209.0,42.1,36.4,497.0,23.0,4.6,22.0,0.58,14.2,181.0,16.0,32.8,4.76,0.11,0.32,0.11,-1.2,-1.2,15997.0,20027.0,79.9,276708.0,96554.0,7502.0,8431.0,89.0,6361.0,7517.0,84.6,1653.0,2905.0,56.9,398.0,1194.0,349.0,89.0,1548.0,18196.0,1767.0,550.0,42.0,141.0,764.0,215.0,74.0,84.0,3.0,683.0,64.0,311.0,965.0,25.39,702.0,81.0,57.0,73.0,44.0,108.0,2.84,77.0,4.0,10.0,13.0,4.0,0.0,464.0,276.0,177.0,196.0,91.0,194.0,422.0,46.0,228.0,410.0,108.0,302.0,363.0,631.0,7.0,24105.0,2253.0,7288.0,10949.0,6118.0,950.0,24101.0,341.0,631.0,54.0,13432.0,807.0,556.0,201.0,15863.0,597.0,274.0,2.0,538.0,471.0,64.0,1.0,4.0,4.0,2174.0,506.0,609.0,45.4
-vs Sassuolo,29.0,44.8,38.0,418.0,3420.0,65.0,48.0,8.0,9.0,83.0,6.0,1.71,1.26,2.97,1.5,2.76,72.4,65.3,1.9,1.72,38.0,38.0,3420.0,64.0,1.68,211.0,151.0,73.0,14.0,11.0,13.0,6.0,15.8,7.0,7.0,0.0,0.0,38.0,1.0,3.0,4.0,62.7,0.27,2.7,0.07,207.0,404.0,51.2,947.0,169.0,31.3,30.4,249.0,43.4,35.9,426.0,23.0,5.4,37.0,0.97,15.6,168.0,13.0,32.1,4.42,0.11,0.34,0.13,-7.4,-8.3,13305.0,16791.0,79.2,233994.0,91908.0,6061.0,6905.0,87.8,5321.0,6197.0,85.9,1427.0,2452.0,58.2,412.0,962.0,351.0,89.0,1363.0,14939.0,1710.0,470.0,53.0,123.0,670.0,196.0,71.0,89.0,2.0,671.0,142.0,342.0,934.0,24.58,674.0,95.0,48.0,57.0,39.0,117.0,3.08,80.0,12.0,7.0,6.0,9.0,3.0,661.0,371.0,286.0,271.0,104.0,275.0,678.0,40.6,403.0,440.0,154.0,286.0,374.0,573.0,12.0,20881.0,2323.0,6853.0,8932.0,5316.0,1017.0,20872.0,338.0,575.0,58.8,11391.0,699.0,423.0,211.0,13193.0,539.0,246.0,5.0,519.0,434.0,142.0,6.0,7.0,4.0,2041.0,404.0,343.0,54.1
-vs Spezia,30.0,57.3,38.0,418.0,3420.0,68.0,44.0,10.0,13.0,85.0,2.0,1.79,1.16,2.95,1.53,2.68,72.2,62.3,1.9,1.64,38.0,38.0,3420.0,41.0,1.08,131.0,92.0,71.0,22.0,6.0,10.0,10.0,26.3,5.0,3.0,1.0,1.0,38.0,0.0,4.0,3.0,42.5,0.3,4.5,0.12,165.0,416.0,39.7,999.0,167.0,31.9,32.2,221.0,43.9,36.5,408.0,16.0,3.9,36.0,0.95,16.0,197.0,24.0,31.3,5.18,0.09,0.29,0.1,-4.2,-4.3,16843.0,20741.0,81.2,295820.0,104909.0,7556.0,8589.0,88.0,7123.0,8112.0,87.8,1671.0,2875.0,58.1,484.0,1334.0,371.0,88.0,1654.0,18778.0,1901.0,542.0,36.0,128.0,710.0,214.0,96.0,92.0,0.0,830.0,62.0,334.0,1133.0,29.82,826.0,81.0,77.0,75.0,53.0,116.0,3.05,83.0,7.0,7.0,9.0,10.0,0.0,607.0,365.0,270.0,234.0,103.0,254.0,546.0,46.5,292.0,388.0,105.0,283.0,334.0,514.0,7.0,24792.0,2026.0,7044.0,11597.0,6374.0,1021.0,24779.0,319.0,586.0,54.4,14664.0,722.0,568.0,210.0,16707.0,608.0,314.0,2.0,474.0,477.0,62.0,8.0,5.0,3.0,2064.0,589.0,530.0,52.6
-vs Torino,31.0,46.4,38.0,418.0,3420.0,41.0,25.0,9.0,11.0,96.0,7.0,1.08,0.66,1.74,0.84,1.5,43.7,35.1,1.15,0.92,38.0,38.0,3420.0,46.0,1.21,148.0,105.0,73.0,14.0,11.0,13.0,12.0,31.6,6.0,6.0,0.0,0.0,38.0,0.0,4.0,3.0,45.6,0.27,2.6,0.07,312.0,757.0,41.2,1227.0,125.0,50.4,38.9,221.0,62.9,44.0,519.0,22.0,4.2,35.0,0.92,15.5,113.0,19.0,29.4,2.97,0.08,0.28,0.09,-2.7,-3.1,11475.0,15759.0,72.8,212519.0,91416.0,4958.0,6028.0,82.2,4659.0,5818.0,80.1,1510.0,2969.0,50.9,281.0,875.0,217.0,58.0,1027.0,13659.0,2040.0,687.0,30.0,88.0,558.0,180.0,61.0,92.0,1.0,806.0,60.0,291.0,683.0,17.97,467.0,87.0,26.0,38.0,59.0,72.0,1.89,49.0,5.0,3.0,4.0,10.0,1.0,502.0,284.0,267.0,190.0,45.0,216.0,511.0,42.3,295.0,390.0,123.0,267.0,300.0,625.0,9.0,19609.0,2272.0,7133.0,8527.0,4172.0,624.0,19598.0,212.0,440.0,48.2,9721.0,468.0,344.0,110.0,11283.0,661.0,303.0,3.0,485.0,611.0,60.0,10.0,6.0,3.0,1989.0,891.0,781.0,53.3
-vs Udinese,29.0,57.7,38.0,418.0,3420.0,57.0,39.0,5.0,7.0,107.0,6.0,1.5,1.03,2.53,1.37,2.39,57.1,52.3,1.5,1.38,38.0,38.0,3420.0,61.0,1.61,185.0,126.0,68.6,13.0,14.0,11.0,9.0,23.7,4.0,3.0,1.0,0.0,38.0,3.0,7.0,3.0,52.9,0.28,-5.1,-0.13,137.0,386.0,35.5,966.0,193.0,30.1,31.7,218.0,43.6,37.9,415.0,25.0,6.0,33.0,0.87,12.8,157.0,13.0,34.0,4.13,0.11,0.33,0.12,-0.1,-0.3,16858.0,20623.0,81.7,303330.0,104121.0,7197.0,8138.0,88.4,7450.0,8452.0,88.1,1794.0,2903.0,61.8,347.0,1269.0,304.0,86.0,1573.0,18761.0,1805.0,620.0,40.0,127.0,653.0,203.0,68.0,101.0,0.0,633.0,57.0,361.0,814.0,21.42,579.0,69.0,62.0,44.0,45.0,95.0,2.5,63.0,4.0,11.0,9.0,6.0,2.0,650.0,363.0,301.0,254.0,95.0,316.0,679.0,46.5,363.0,390.0,126.0,264.0,340.0,611.0,9.0,24770.0,2232.0,7241.0,12655.0,5095.0,816.0,24763.0,359.0,643.0,55.8,14420.0,677.0,441.0,149.0,16708.0,622.0,338.0,6.0,494.0,537.0,57.0,6.0,4.0,3.0,2010.0,534.0,453.0,54.1
-vs Venezia,39.0,57.9,38.0,418.0,3420.0,67.0,39.0,11.0,12.0,79.0,3.0,1.76,1.03,2.79,1.47,2.5,80.9,72.8,2.13,1.92,38.0,38.0,3420.0,34.0,0.89,118.0,82.0,73.7,23.0,9.0,6.0,13.0,34.2,5.0,3.0,2.0,0.0,38.0,0.0,2.0,0.0,34.2,0.25,0.2,0.01,173.0,395.0,43.8,913.0,173.0,31.2,32.7,222.0,49.5,39.5,467.0,38.0,8.1,32.0,0.84,13.9,217.0,33.0,32.6,5.71,0.08,0.26,0.11,-13.9,-16.8,17187.0,21143.0,81.3,307354.0,105553.0,7549.0,8576.0,88.0,7174.0,8238.0,87.1,1961.0,3108.0,63.1,488.0,1414.0,427.0,114.0,1719.0,19163.0,1932.0,534.0,30.0,147.0,817.0,268.0,121.0,91.0,0.0,815.0,48.0,348.0,1184.0,31.16,831.0,111.0,57.0,106.0,64.0,110.0,2.89,72.0,8.0,7.0,17.0,5.0,1.0,589.0,341.0,251.0,246.0,92.0,276.0,576.0,47.9,300.0,377.0,82.0,295.0,370.0,560.0,5.0,25297.0,2008.0,6865.0,11582.0,7094.0,1160.0,25285.0,353.0,626.0,56.4,14770.0,807.0,592.0,199.0,17076.0,588.0,340.0,2.0,476.0,492.0,48.0,5.0,5.0,0.0,2059.0,583.0,564.0,50.8
+team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
+vs Atalanta,32.0,44.9,38.0,418.0,3420.0,45.0,29.0,5.0,6.0,94.0,1.0,1.18,0.76,1.95,1.05,1.82,45.3,40.6,1.19,1.07,38.0,38.0,3420.0,65.0,1.71,172.0,110.0,65.1,11.0,11.0,16.0,9.0,23.7,6.0,5.0,0.0,1.0,38.0,0.0,2.0,3.0,54.5,0.29,-7.5,-0.2,260.0,725.0,35.9,1280.0,121.0,44.2,37.0,284.0,56.0,42.1,518.0,17.0,3.3,32.0,0.84,14.1,134.0,19.0,34.8,3.53,0.1,0.3,0.11,-0.3,-0.6,13368.0,17503.0,76.4,240357.0,96471.0,6038.0,7014.0,86.1,5388.0,6478.0,83.2,1560.0,2901.0,53.8,287.0,969.0,221.0,61.0,1122.0,15571.0,1863.0,555.0,47.0,116.0,468.0,134.0,60.0,39.0,1.0,737.0,69.0,366.0,674.0,17.74,508.0,42.0,38.0,34.0,75.0,1.97,52.0,6.0,7.0,6.0,0.0,683.0,407.0,385.0,234.0,64.0,515.0,184.0,331.0,429.0,721.0,8.0,21980.0,2922.0,8407.0,9524.0,4272.0,611.0,21974.0,11343.0,514.0,367.0,144.0,13208.0,657.0,331.0,1.0,491.0,488.0,69.0,4.0,6.0,3.0,2240.0,518.0,685.0,43.1
+vs Bologna,36.0,49.3,38.0,418.0,3420.0,53.0,32.0,8.0,9.0,83.0,4.0,1.39,0.84,2.24,1.18,2.03,52.6,45.3,1.38,1.19,38.0,38.0,3420.0,44.0,1.16,147.0,104.0,72.8,16.0,10.0,12.0,12.0,31.6,5.0,4.0,0.0,1.0,38.0,1.0,9.0,1.0,41.8,0.26,-1.2,-0.03,173.0,466.0,37.1,903.0,160.0,39.2,35.8,230.0,48.7,39.7,481.0,30.0,6.2,34.0,0.89,13.9,175.0,21.0,33.0,4.61,0.08,0.26,0.09,0.4,-0.3,14275.0,17994.0,79.3,250698.0,89430.0,6556.0,7471.0,87.8,5582.0,6604.0,84.5,1627.0,2789.0,58.3,396.0,1245.0,312.0,83.0,1454.0,16245.0,1661.0,465.0,39.0,153.0,680.0,167.0,66.0,74.0,1.0,691.0,88.0,297.0,954.0,25.11,713.0,72.0,56.0,52.0,89.0,2.34,63.0,4.0,8.0,9.0,1.0,574.0,321.0,237.0,231.0,106.0,383.0,108.0,275.0,376.0,618.0,8.0,22069.0,2103.0,6135.0,9931.0,6221.0,876.0,22061.0,12486.0,790.0,591.0,199.0,14154.0,643.0,314.0,2.0,527.0,416.0,88.0,8.0,5.0,1.0,2032.0,520.0,492.0,51.4
+vs Cagliari,33.0,55.6,38.0,418.0,3420.0,67.0,41.0,7.0,10.0,74.0,5.0,1.76,1.08,2.84,1.58,2.66,61.0,53.2,1.6,1.4,38.0,38.0,3419.0,34.0,0.89,121.0,86.0,74.4,20.0,12.0,6.0,14.0,36.8,4.0,3.0,1.0,0.0,38.0,1.0,4.0,0.0,36.6,0.27,2.6,0.07,170.0,461.0,36.9,1006.0,161.0,34.7,33.4,241.0,46.5,38.8,512.0,21.0,4.1,34.0,0.89,14.5,175.0,20.0,32.1,4.61,0.11,0.34,0.1,6.0,6.8,15763.0,19924.0,79.1,276729.0,102189.0,7231.0,8273.0,87.4,6483.0,7634.0,84.9,1621.0,2904.0,55.8,396.0,1173.0,382.0,88.0,1597.0,17954.0,1894.0,586.0,56.0,123.0,693.0,199.0,68.0,78.0,1.0,786.0,76.0,330.0,940.0,24.74,675.0,87.0,64.0,48.0,114.0,3.0,81.0,6.0,9.0,9.0,1.0,488.0,275.0,209.0,212.0,67.0,390.0,117.0,273.0,306.0,637.0,9.0,23942.0,2208.0,7251.0,11080.0,5841.0,912.0,23932.0,12644.0,713.0,500.0,150.0,15634.0,655.0,327.0,1.0,526.0,524.0,76.0,6.0,4.0,0.0,2112.0,742.0,696.0,51.6
+vs Empoli,28.0,52.9,38.0,418.0,3420.0,64.0,44.0,5.0,10.0,80.0,1.0,1.68,1.16,2.84,1.55,2.71,66.0,58.4,1.74,1.54,38.0,38.0,3420.0,50.0,1.32,158.0,111.0,72.8,17.0,11.0,10.0,9.0,23.7,7.0,7.0,0.0,0.0,38.0,0.0,6.0,3.0,41.1,0.22,-5.9,-0.16,204.0,477.0,42.8,1000.0,200.0,36.7,35.5,251.0,43.8,37.3,532.0,22.0,4.1,32.0,0.84,14.1,209.0,13.0,31.8,5.5,0.09,0.28,0.09,-2.0,0.6,14955.0,18693.0,80.0,270778.0,103998.0,6818.0,7698.0,88.6,5689.0,6745.0,84.3,1970.0,3134.0,62.9,523.0,1209.0,418.0,107.0,1678.0,16720.0,1907.0,561.0,48.0,250.0,787.0,217.0,91.0,76.0,0.0,743.0,66.0,327.0,1205.0,31.71,880.0,116.0,97.0,39.0,114.0,3.0,88.0,5.0,11.0,4.0,1.0,590.0,361.0,283.0,215.0,92.0,434.0,142.0,292.0,377.0,706.0,7.0,23120.0,2464.0,7208.0,9514.0,6634.0,1132.0,23110.0,12901.0,823.0,559.0,267.0,14820.0,655.0,295.0,0.0,488.0,482.0,66.0,7.0,7.0,3.0,2051.0,549.0,427.0,56.3
+vs Fiorentina,28.0,41.8,38.0,418.0,3420.0,49.0,33.0,3.0,5.0,103.0,4.0,1.29,0.87,2.16,1.21,2.08,40.6,37.1,1.07,0.98,38.0,38.0,3420.0,59.0,1.55,183.0,122.0,72.7,14.0,5.0,19.0,7.0,18.4,12.0,9.0,2.0,1.0,38.0,4.0,4.0,0.0,60.1,0.28,1.1,0.03,238.0,595.0,40.0,1190.0,153.0,37.6,33.7,281.0,52.3,38.1,597.0,24.0,4.0,22.0,0.58,12.4,121.0,7.0,34.5,3.18,0.13,0.38,0.11,8.4,8.9,11993.0,15395.0,77.9,211718.0,82263.0,5399.0,6137.0,88.0,4923.0,5761.0,85.5,1264.0,2443.0,51.7,261.0,714.0,198.0,53.0,979.0,13564.0,1712.0,506.0,54.0,77.0,437.0,127.0,48.0,57.0,0.0,657.0,119.0,292.0,593.0,15.61,404.0,58.0,35.0,43.0,86.0,2.26,62.0,7.0,3.0,5.0,4.0,515.0,289.0,264.0,191.0,60.0,386.0,119.0,267.0,351.0,687.0,4.0,19162.0,2819.0,7794.0,8009.0,3575.0,593.0,19157.0,10277.0,480.0,352.0,123.0,11875.0,558.0,240.0,3.0,585.0,441.0,119.0,4.0,12.0,0.0,1825.0,456.0,469.0,49.3
+vs Genoa,40.0,56.1,38.0,418.0,3420.0,58.0,35.0,4.0,5.0,82.0,1.0,1.53,0.92,2.45,1.42,2.34,54.1,50.1,1.42,1.32,38.0,38.0,3420.0,27.0,0.71,113.0,86.0,81.4,18.0,16.0,4.0,20.0,52.6,7.0,6.0,1.0,0.0,38.0,0.0,2.0,1.0,31.3,0.22,5.3,0.14,206.0,504.0,40.9,1088.0,144.0,33.4,32.7,243.0,58.0,43.6,516.0,30.0,5.8,20.0,0.53,12.9,179.0,20.0,33.4,4.71,0.1,0.3,0.1,3.9,3.9,15866.0,20272.0,78.3,290094.0,105055.0,6924.0,8090.0,85.6,6679.0,7878.0,84.8,1900.0,3139.0,60.5,388.0,1165.0,338.0,79.0,1572.0,18174.0,2039.0,609.0,35.0,157.0,648.0,192.0,60.0,87.0,2.0,888.0,59.0,410.0,934.0,24.58,676.0,82.0,66.0,49.0,98.0,2.58,70.0,5.0,11.0,5.0,0.0,651.0,370.0,277.0,304.0,70.0,418.0,105.0,313.0,350.0,736.0,7.0,24827.0,2343.0,7825.0,11265.0,5983.0,908.0,24821.0,14100.0,684.0,517.0,165.0,15731.0,670.0,390.0,0.0,523.0,530.0,59.0,4.0,7.0,1.0,2257.0,743.0,635.0,53.9
+vs Hellas Verona,31.0,49.4,38.0,418.0,3420.0,57.0,38.0,3.0,4.0,74.0,3.0,1.5,1.0,2.5,1.42,2.42,49.0,45.7,1.29,1.2,38.0,38.0,3420.0,65.0,1.71,159.0,96.0,63.5,13.0,11.0,14.0,6.0,15.8,8.0,7.0,0.0,1.0,38.0,0.0,2.0,2.0,52.0,0.29,-11.0,-0.29,290.0,768.0,37.8,1196.0,139.0,48.8,38.5,269.0,68.4,48.3,445.0,11.0,2.5,34.0,0.89,15.6,155.0,20.0,33.0,4.08,0.11,0.35,0.1,8.0,8.3,12510.0,17056.0,73.3,224821.0,92542.0,5616.0,6705.0,83.8,4959.0,6187.0,80.2,1503.0,3030.0,49.6,350.0,983.0,282.0,94.0,1159.0,14925.0,2099.0,630.0,30.0,87.0,682.0,187.0,72.0,79.0,1.0,850.0,32.0,368.0,817.0,21.5,588.0,82.0,49.0,48.0,99.0,2.61,71.0,9.0,10.0,5.0,0.0,659.0,368.0,305.0,287.0,67.0,425.0,117.0,308.0,425.0,569.0,16.0,21246.0,2399.0,6985.0,9678.0,4855.0,773.0,21242.0,11333.0,568.0,474.0,150.0,12349.0,668.0,296.0,0.0,463.0,534.0,32.0,3.0,8.0,2.0,2206.0,733.0,689.0,51.5
+vs Inter,27.0,43.4,38.0,418.0,3420.0,31.0,19.0,4.0,4.0,79.0,5.0,0.82,0.5,1.32,0.71,1.21,39.1,36.0,1.03,0.95,38.0,38.0,3420.0,84.0,2.21,248.0,163.0,69.0,4.0,9.0,25.0,3.0,7.9,11.0,7.0,2.0,2.0,38.0,1.0,12.0,1.0,75.3,0.27,-7.7,-0.2,175.0,497.0,35.2,1011.0,194.0,32.8,34.0,321.0,51.4,41.5,628.0,29.0,4.6,27.0,0.71,13.1,123.0,13.0,30.9,3.24,0.07,0.22,0.09,-8.1,-9.0,13450.0,16669.0,80.7,238181.0,85007.0,6154.0,6960.0,88.4,5370.0,6191.0,86.7,1535.0,2614.0,58.7,298.0,856.0,227.0,63.0,1095.0,14983.0,1652.0,503.0,21.0,112.0,516.0,131.0,63.0,50.0,0.0,562.0,34.0,290.0,680.0,17.89,485.0,53.0,59.0,32.0,46.0,1.21,33.0,1.0,6.0,4.0,1.0,461.0,251.0,230.0,172.0,59.0,447.0,172.0,275.0,395.0,832.0,8.0,20754.0,2862.0,7712.0,9059.0,4209.0,606.0,20750.0,11791.0,569.0,497.0,118.0,13372.0,522.0,341.0,1.0,440.0,441.0,34.0,3.0,11.0,1.0,1767.0,476.0,549.0,46.4
+vs Juventus,32.0,48.3,38.0,418.0,3420.0,36.0,21.0,4.0,7.0,94.0,4.0,0.95,0.55,1.5,0.84,1.39,38.1,32.5,1.0,0.86,38.0,38.0,3420.0,57.0,1.5,171.0,115.0,69.6,8.0,10.0,20.0,5.0,13.2,6.0,5.0,0.0,1.0,38.0,0.0,7.0,1.0,50.3,0.27,-5.7,-0.15,205.0,519.0,39.5,916.0,135.0,40.8,35.4,286.0,50.7,40.0,443.0,17.0,3.8,26.0,0.68,12.6,116.0,16.0,26.5,3.05,0.07,0.28,0.08,-2.1,-0.5,15048.0,18611.0,80.9,259034.0,89304.0,7164.0,8073.0,88.7,5986.0,6954.0,86.1,1453.0,2545.0,57.1,337.0,1213.0,288.0,81.0,1471.0,16719.0,1857.0,556.0,22.0,123.0,730.0,197.0,81.0,77.0,0.0,682.0,35.0,311.0,760.0,20.0,567.0,70.0,43.0,33.0,58.0,1.53,37.0,4.0,8.0,6.0,1.0,582.0,334.0,277.0,224.0,81.0,389.0,120.0,269.0,364.0,570.0,12.0,22486.0,2318.0,6536.0,10230.0,5924.0,704.0,22479.0,13023.0,719.0,589.0,141.0,14939.0,599.0,319.0,2.0,525.0,471.0,35.0,5.0,6.0,1.0,1894.0,440.0,550.0,44.4
+vs Lazio,27.0,44.4,38.0,418.0,3420.0,57.0,40.0,5.0,6.0,100.0,7.0,1.5,1.05,2.55,1.37,2.42,47.7,43.0,1.25,1.13,38.0,38.0,3420.0,77.0,2.03,194.0,118.0,63.9,10.0,10.0,18.0,6.0,15.8,9.0,7.0,2.0,0.0,38.0,0.0,5.0,3.0,64.8,0.29,-9.2,-0.24,194.0,452.0,42.9,1106.0,182.0,29.7,31.0,238.0,51.7,40.8,443.0,20.0,4.5,32.0,0.84,13.2,141.0,13.0,30.4,3.71,0.11,0.37,0.09,9.3,9.0,15276.0,18668.0,81.8,278250.0,92944.0,6571.0,7369.0,89.2,6643.0,7517.0,88.4,1698.0,2822.0,60.2,347.0,954.0,308.0,88.0,1293.0,16963.0,1632.0,463.0,36.0,178.0,602.0,146.0,63.0,46.0,0.0,651.0,73.0,309.0,806.0,21.21,585.0,73.0,53.0,37.0,101.0,2.66,72.0,7.0,7.0,8.0,1.0,547.0,319.0,243.0,223.0,81.0,351.0,89.0,262.0,398.0,621.0,14.0,22493.0,2709.0,8413.0,9788.0,4540.0,751.0,22487.0,13377.0,579.0,442.0,129.0,15165.0,535.0,340.0,3.0,474.0,418.0,73.0,6.0,9.0,3.0,1956.0,427.0,411.0,51.0
+vs Milan,28.0,45.8,38.0,418.0,3420.0,29.0,19.0,4.0,5.0,91.0,6.0,0.76,0.5,1.26,0.66,1.16,35.9,32.1,0.95,0.84,38.0,38.0,3420.0,69.0,1.82,193.0,126.0,66.8,4.0,8.0,26.0,4.0,10.5,8.0,5.0,1.0,2.0,38.0,4.0,4.0,3.0,59.9,0.29,-6.1,-0.16,258.0,539.0,47.9,973.0,156.0,40.1,34.7,291.0,51.2,39.5,534.0,24.0,4.5,27.0,0.71,13.6,120.0,9.0,30.3,3.16,0.06,0.21,0.08,-6.9,-7.1,12864.0,16396.0,78.5,229255.0,94501.0,5935.0,6808.0,87.2,5054.0,6043.0,83.6,1490.0,2558.0,58.2,305.0,985.0,229.0,62.0,1298.0,14572.0,1761.0,526.0,25.0,167.0,533.0,159.0,74.0,63.0,1.0,650.0,63.0,298.0,675.0,17.76,490.0,64.0,48.0,31.0,45.0,1.18,29.0,4.0,7.0,2.0,2.0,635.0,352.0,318.0,250.0,67.0,431.0,158.0,273.0,356.0,722.0,16.0,20652.0,2592.0,7383.0,9057.0,4455.0,603.0,20647.0,11138.0,542.0,439.0,101.0,12736.0,686.0,416.0,2.0,533.0,440.0,63.0,3.0,8.0,3.0,2106.0,517.0,521.0,49.8
+vs Napoli,27.0,41.5,38.0,418.0,3420.0,30.0,19.0,1.0,1.0,101.0,9.0,0.79,0.5,1.29,0.76,1.26,32.5,31.8,0.85,0.84,38.0,38.0,3420.0,74.0,1.95,199.0,122.0,67.8,7.0,7.0,24.0,4.0,10.5,14.0,10.0,3.0,1.0,38.0,0.0,8.0,0.0,61.1,0.25,-12.9,-0.34,208.0,501.0,41.5,1016.0,159.0,36.5,34.1,257.0,50.6,39.7,422.0,19.0,4.5,35.0,0.92,14.3,135.0,17.0,32.3,3.55,0.07,0.21,0.08,-2.5,-2.8,12959.0,16201.0,80.0,232814.0,87453.0,5743.0,6523.0,88.0,5501.0,6279.0,87.6,1392.0,2506.0,55.5,311.0,989.0,259.0,61.0,1254.0,14495.0,1646.0,507.0,37.0,120.0,552.0,145.0,58.0,69.0,0.0,603.0,60.0,301.0,726.0,19.11,542.0,60.0,42.0,37.0,52.0,1.37,39.0,3.0,5.0,2.0,0.0,532.0,320.0,248.0,220.0,64.0,455.0,155.0,300.0,397.0,613.0,19.0,20179.0,2498.0,6985.0,8946.0,4466.0,661.0,20178.0,11021.0,565.0,434.0,135.0,12847.0,567.0,282.0,5.0,517.0,415.0,60.0,0.0,14.0,0.0,1963.0,403.0,393.0,50.6
+vs Roma,29.0,48.6,38.0,418.0,3420.0,41.0,23.0,5.0,6.0,106.0,8.0,1.08,0.61,1.68,0.95,1.55,38.4,33.7,1.01,0.89,38.0,38.0,3418.0,59.0,1.55,193.0,133.0,73.1,11.0,9.0,18.0,7.0,18.4,9.0,7.0,2.0,0.0,38.0,3.0,11.0,1.0,61.0,0.28,3.0,0.08,166.0,460.0,36.1,1005.0,191.0,31.2,32.2,301.0,48.5,38.8,574.0,30.0,5.2,33.0,0.87,12.7,140.0,18.0,37.9,3.68,0.1,0.26,0.09,2.6,2.3,14445.0,17956.0,80.4,250292.0,91379.0,6695.0,7514.0,89.1,5805.0,6688.0,86.8,1498.0,2655.0,56.4,284.0,1046.0,231.0,62.0,1275.0,16098.0,1777.0,535.0,24.0,132.0,504.0,133.0,53.0,64.0,0.0,684.0,81.0,340.0,667.0,17.55,504.0,46.0,30.0,44.0,68.0,1.79,43.0,5.0,8.0,7.0,0.0,586.0,361.0,290.0,226.0,70.0,402.0,165.0,237.0,383.0,722.0,5.0,22109.0,2591.0,7351.0,10357.0,4604.0,593.0,22102.0,12551.0,646.0,444.0,121.0,14320.0,639.0,330.0,5.0,497.0,477.0,81.0,5.0,9.0,1.0,1970.0,441.0,524.0,45.7
+vs Salernitana,42.0,59.0,38.0,418.0,3420.0,76.0,58.0,6.0,8.0,98.0,8.0,2.0,1.53,3.53,1.84,3.37,65.2,59.1,1.72,1.55,38.0,38.0,3420.0,33.0,0.87,135.0,102.0,78.5,21.0,10.0,7.0,16.0,42.1,5.0,4.0,1.0,0.0,38.0,4.0,5.0,1.0,35.1,0.24,3.1,0.08,126.0,332.0,38.0,937.0,169.0,27.3,31.1,194.0,39.2,36.0,548.0,29.0,5.3,23.0,0.61,13.3,214.0,25.0,36.7,5.63,0.12,0.33,0.1,10.8,10.9,17458.0,21188.0,82.4,304735.0,104442.0,8056.0,8997.0,89.5,7042.0,8099.0,86.9,1828.0,2930.0,62.4,446.0,1346.0,395.0,90.0,1705.0,19440.0,1685.0,496.0,57.0,185.0,745.0,233.0,92.0,101.0,1.0,669.0,63.0,292.0,1049.0,27.61,779.0,86.0,67.0,48.0,137.0,3.61,105.0,8.0,9.0,5.0,1.0,602.0,341.0,267.0,244.0,91.0,373.0,114.0,259.0,315.0,702.0,12.0,25328.0,2196.0,7169.0,11831.0,6586.0,1016.0,25320.0,14843.0,840.0,580.0,209.0,17340.0,566.0,264.0,4.0,546.0,463.0,63.0,6.0,5.0,1.0,2043.0,506.0,657.0,43.5
+vs Sampdoria,34.0,54.1,38.0,418.0,3420.0,61.0,41.0,3.0,4.0,82.0,2.0,1.61,1.08,2.68,1.53,2.61,56.1,53.0,1.48,1.39,38.0,38.0,3420.0,46.0,1.21,122.0,78.0,63.9,22.0,6.0,10.0,12.0,31.6,4.0,2.0,2.0,0.0,38.0,1.0,6.0,4.0,36.0,0.27,-6.0,-0.16,170.0,435.0,39.1,959.0,142.0,36.2,34.0,209.0,42.1,36.4,497.0,23.0,4.6,22.0,0.58,14.2,181.0,16.0,32.8,4.76,0.11,0.32,0.1,4.9,5.0,15997.0,20027.0,79.9,276708.0,96554.0,7502.0,8431.0,89.0,6361.0,7517.0,84.6,1653.0,2905.0,56.9,398.0,1194.0,349.0,89.0,1548.0,18196.0,1767.0,550.0,42.0,141.0,764.0,215.0,74.0,84.0,3.0,683.0,64.0,311.0,965.0,25.39,702.0,81.0,73.0,44.0,108.0,2.84,77.0,4.0,13.0,4.0,0.0,464.0,276.0,177.0,196.0,91.0,410.0,108.0,302.0,363.0,631.0,7.0,24105.0,2253.0,7288.0,10949.0,6118.0,950.0,24101.0,13432.0,807.0,556.0,201.0,15863.0,597.0,274.0,2.0,538.0,471.0,64.0,1.0,4.0,4.0,2174.0,506.0,609.0,45.4
+vs Sassuolo,29.0,44.8,38.0,418.0,3420.0,65.0,48.0,8.0,9.0,83.0,6.0,1.71,1.26,2.97,1.5,2.76,66.4,59.3,1.75,1.56,38.0,38.0,3420.0,64.0,1.68,211.0,151.0,73.0,14.0,11.0,13.0,6.0,15.8,7.0,7.0,0.0,0.0,38.0,1.0,3.0,4.0,62.7,0.27,2.7,0.07,207.0,404.0,51.2,947.0,169.0,31.3,30.4,249.0,43.4,35.9,426.0,23.0,5.4,37.0,0.97,15.6,168.0,13.0,32.1,4.42,0.11,0.34,0.12,-1.4,-2.3,13305.0,16791.0,79.2,233994.0,91908.0,6061.0,6905.0,87.8,5321.0,6197.0,85.9,1427.0,2452.0,58.2,412.0,962.0,351.0,89.0,1363.0,14939.0,1710.0,470.0,53.0,123.0,670.0,196.0,71.0,89.0,2.0,671.0,142.0,342.0,934.0,24.58,674.0,95.0,57.0,39.0,117.0,3.08,80.0,12.0,6.0,9.0,3.0,661.0,371.0,286.0,271.0,104.0,440.0,154.0,286.0,374.0,573.0,12.0,20881.0,2323.0,6853.0,8932.0,5316.0,1017.0,20872.0,11391.0,699.0,423.0,211.0,13193.0,539.0,246.0,5.0,519.0,434.0,142.0,6.0,7.0,4.0,2041.0,404.0,343.0,54.1
+vs Spezia,30.0,57.3,38.0,418.0,3420.0,68.0,44.0,10.0,13.0,85.0,2.0,1.79,1.16,2.95,1.53,2.68,64.4,54.4,1.69,1.43,38.0,38.0,3420.0,41.0,1.08,131.0,92.0,71.0,22.0,6.0,10.0,10.0,26.3,5.0,3.0,1.0,1.0,38.0,0.0,4.0,3.0,42.5,0.3,4.5,0.12,165.0,416.0,39.7,999.0,167.0,31.9,32.2,221.0,43.9,36.5,408.0,16.0,3.9,36.0,0.95,16.0,197.0,24.0,31.3,5.18,0.09,0.29,0.09,3.6,3.6,16843.0,20741.0,81.2,295820.0,104909.0,7556.0,8589.0,88.0,7123.0,8112.0,87.8,1671.0,2875.0,58.1,484.0,1334.0,371.0,88.0,1654.0,18778.0,1901.0,542.0,36.0,128.0,710.0,214.0,96.0,92.0,0.0,830.0,62.0,334.0,1133.0,29.82,826.0,81.0,75.0,53.0,116.0,3.05,83.0,7.0,9.0,10.0,0.0,607.0,365.0,270.0,234.0,103.0,388.0,105.0,283.0,334.0,514.0,7.0,24792.0,2026.0,7044.0,11597.0,6374.0,1021.0,24779.0,14664.0,722.0,568.0,210.0,16707.0,608.0,314.0,2.0,474.0,477.0,62.0,8.0,5.0,3.0,2064.0,589.0,530.0,52.6
+vs Torino,31.0,46.4,38.0,418.0,3420.0,41.0,25.0,9.0,11.0,96.0,7.0,1.08,0.66,1.74,0.84,1.5,38.9,30.3,1.02,0.8,38.0,38.0,3420.0,46.0,1.21,148.0,105.0,73.0,14.0,11.0,13.0,12.0,31.6,6.0,6.0,0.0,0.0,38.0,0.0,4.0,3.0,45.6,0.27,2.6,0.07,312.0,757.0,41.2,1227.0,125.0,50.4,38.9,221.0,62.9,44.0,519.0,22.0,4.2,35.0,0.92,15.5,113.0,19.0,29.4,2.97,0.08,0.28,0.08,2.1,1.7,11475.0,15759.0,72.8,212519.0,91416.0,4958.0,6028.0,82.2,4659.0,5818.0,80.1,1510.0,2969.0,50.9,281.0,875.0,217.0,58.0,1027.0,13659.0,2040.0,687.0,30.0,88.0,558.0,180.0,61.0,92.0,1.0,806.0,60.0,291.0,683.0,17.97,467.0,87.0,38.0,59.0,72.0,1.89,49.0,5.0,4.0,10.0,1.0,502.0,284.0,267.0,190.0,45.0,390.0,123.0,267.0,300.0,625.0,9.0,19609.0,2272.0,7133.0,8527.0,4172.0,624.0,19598.0,9721.0,468.0,344.0,110.0,11283.0,661.0,303.0,3.0,485.0,611.0,60.0,10.0,6.0,3.0,1989.0,891.0,781.0,53.3
+vs Udinese,29.0,57.7,38.0,418.0,3420.0,57.0,39.0,5.0,7.0,107.0,6.0,1.5,1.03,2.53,1.37,2.39,52.4,47.2,1.38,1.24,38.0,38.0,3420.0,61.0,1.61,185.0,126.0,68.6,13.0,14.0,11.0,9.0,23.7,4.0,3.0,1.0,0.0,38.0,3.0,7.0,3.0,52.9,0.28,-5.1,-0.13,137.0,386.0,35.5,966.0,193.0,30.1,31.7,218.0,43.6,37.9,415.0,25.0,6.0,33.0,0.87,12.8,157.0,13.0,34.0,4.13,0.11,0.33,0.11,4.6,4.8,16858.0,20623.0,81.7,303330.0,104121.0,7197.0,8138.0,88.4,7450.0,8452.0,88.1,1794.0,2903.0,61.8,347.0,1269.0,304.0,86.0,1573.0,18761.0,1805.0,620.0,40.0,127.0,653.0,203.0,68.0,101.0,0.0,633.0,57.0,361.0,814.0,21.42,579.0,69.0,44.0,45.0,95.0,2.5,63.0,4.0,9.0,6.0,2.0,650.0,363.0,301.0,254.0,95.0,390.0,126.0,264.0,340.0,611.0,9.0,24770.0,2232.0,7241.0,12655.0,5095.0,816.0,24763.0,14420.0,677.0,441.0,149.0,16708.0,622.0,338.0,6.0,494.0,537.0,57.0,6.0,4.0,3.0,2010.0,534.0,453.0,54.1
+vs Venezia,39.0,57.9,38.0,418.0,3420.0,67.0,39.0,11.0,12.0,79.0,3.0,1.76,1.03,2.79,1.47,2.5,71.8,63.8,1.89,1.68,38.0,38.0,3420.0,34.0,0.89,118.0,82.0,73.7,23.0,9.0,6.0,13.0,34.2,5.0,3.0,2.0,0.0,38.0,0.0,2.0,0.0,34.2,0.25,0.2,0.01,173.0,395.0,43.8,913.0,173.0,31.2,32.7,222.0,49.5,39.5,467.0,38.0,8.1,32.0,0.84,13.9,217.0,33.0,32.6,5.71,0.08,0.26,0.1,-4.8,-7.8,17187.0,21142.0,81.3,307341.0,105540.0,7550.0,8576.0,88.0,7173.0,8237.0,87.1,1961.0,3108.0,63.1,488.0,1414.0,427.0,114.0,1719.0,19162.0,1932.0,534.0,30.0,147.0,817.0,268.0,121.0,91.0,0.0,815.0,48.0,348.0,1184.0,31.16,831.0,111.0,106.0,64.0,110.0,2.89,72.0,8.0,17.0,5.0,1.0,589.0,341.0,251.0,246.0,92.0,377.0,82.0,295.0,370.0,560.0,5.0,25297.0,2008.0,6865.0,11582.0,7094.0,1160.0,25285.0,14770.0,807.0,592.0,199.0,17076.0,588.0,340.0,2.0,476.0,492.0,48.0,5.0,5.0,0.0,2059.0,583.0,564.0,50.8
diff --git a/fbref_data/teams.csv b/fbref_data/teams.csv
index 64bd675..7a59b86 100644
--- a/fbref_data/teams.csv
+++ b/fbref_data/teams.csv
@@ -1,21 +1,21 @@
-team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-Atalanta,24.0,49.1,20.0,220.0,1800.0,38.0,27.0,6.0,8.0,51.0,1.0,1.9,1.35,3.25,1.6,2.95,32.5,26.1,1.62,1.3,20.0,20.0,1800.0,23.0,1.15,74.0,52.0,70.3,11.0,5.0,4.0,7.0,35.0,1.0,1.0,0.0,0.0,20.0,1.0,3.0,1.0,18.9,0.25,-3.1,-0.15,110.0,249.0,44.2,521.0,143.0,28.8,31.2,153.0,64.7,48.1,247.0,15.0,6.1,26.0,1.3,17.2,85.0,7.0,32.9,4.25,0.12,0.38,0.1,5.5,5.9,7683.0,9811.0,78.3,135397.0,52544.0,3554.0,4090.0,86.9,3069.0,3670.0,83.6,829.0,1487.0,55.7,219.0,582.0,213.0,44.0,858.0,8805.0,978.0,229.0,25.0,97.0,309.0,83.0,33.0,31.0,0.0,437.0,28.0,163.0,481.0,24.05,364.0,39.0,23.0,27.0,21.0,69.0,3.45,49.0,4.0,1.0,7.0,7.0,1.0,348.0,197.0,157.0,147.0,44.0,173.0,311.0,55.6,138.0,222.0,45.0,177.0,230.0,330.0,7.0,12094.0,1254.0,3965.0,5101.0,3139.0,497.0,12086.0,122.0,333.0,36.6,6654.0,348.0,274.0,110.0,7625.0,326.0,206.0,1.0,248.0,207.0,28.0,6.0,1.0,1.0,1175.0,303.0,248.0,55.0
-Bologna,24.0,52.6,20.0,220.0,1800.0,25.0,19.0,3.0,3.0,52.0,2.0,1.25,0.95,2.2,1.1,2.05,22.8,20.5,1.14,1.02,20.0,20.0,1800.0,30.0,1.5,88.0,60.0,71.6,7.0,5.0,8.0,3.0,15.0,5.0,5.0,0.0,0.0,20.0,1.0,4.0,2.0,28.7,0.28,0.7,0.04,86.0,220.0,39.1,545.0,116.0,30.6,32.1,141.0,37.6,33.9,280.0,18.0,6.4,17.0,0.85,14.1,72.0,8.0,29.6,3.6,0.09,0.31,0.09,2.2,1.5,7902.0,10001.0,79.0,139962.0,51458.0,3584.0,4077.0,87.9,3195.0,3757.0,85.0,868.0,1537.0,56.5,190.0,551.0,121.0,39.0,656.0,8962.0,998.0,273.0,35.0,100.0,301.0,81.0,40.0,30.0,0.0,441.0,41.0,208.0,434.0,21.7,326.0,38.0,21.0,23.0,21.0,43.0,2.15,33.0,3.0,1.0,3.0,3.0,0.0,341.0,206.0,174.0,125.0,42.0,151.0,270.0,55.9,119.0,225.0,77.0,148.0,179.0,362.0,5.0,12134.0,1345.0,4271.0,5503.0,2468.0,303.0,12131.0,96.0,237.0,40.5,6565.0,265.0,236.0,55.0,7826.0,312.0,162.0,1.0,242.0,238.0,41.0,3.0,5.0,2.0,1104.0,180.0,224.0,44.6
-Cremonese,29.0,43.6,20.0,220.0,1800.0,15.0,7.0,2.0,4.0,47.0,1.0,0.75,0.35,1.1,0.65,1.0,21.7,18.5,1.09,0.93,20.0,20.0,1800.0,35.0,1.75,123.0,89.0,74.8,0.0,8.0,12.0,3.0,15.0,4.0,4.0,0.0,0.0,20.0,1.0,5.0,1.0,38.3,0.29,4.3,0.21,85.0,312.0,27.2,530.0,95.0,43.8,38.5,145.0,55.2,47.9,245.0,18.0,7.3,16.0,0.8,13.4,66.0,10.0,24.9,3.3,0.05,0.2,0.07,-6.7,-5.5,5620.0,7909.0,71.1,102224.0,42997.0,2455.0,2959.0,83.0,2411.0,3054.0,78.9,618.0,1415.0,43.7,182.0,533.0,178.0,64.0,665.0,6874.0,991.0,235.0,11.0,49.0,402.0,93.0,30.0,52.0,0.0,436.0,44.0,176.0,452.0,22.6,315.0,48.0,14.0,36.0,28.0,21.0,1.05,13.0,2.0,0.0,5.0,1.0,0.0,401.0,211.0,233.0,127.0,41.0,202.0,337.0,59.9,135.0,235.0,74.0,161.0,209.0,373.0,7.0,10215.0,1271.0,3680.0,4077.0,2581.0,422.0,10211.0,87.0,259.0,33.6,4979.0,287.0,221.0,53.0,5562.0,296.0,168.0,0.0,264.0,204.0,44.0,3.0,4.0,1.0,1087.0,273.0,367.0,42.7
-Empoli,26.0,46.4,20.0,220.0,1800.0,19.0,11.0,0.0,0.0,51.0,4.0,0.95,0.55,1.5,0.95,1.5,18.3,18.3,0.92,0.92,20.0,20.0,1800.0,24.0,1.2,86.0,61.0,73.3,6.0,8.0,6.0,7.0,35.0,3.0,1.0,1.0,1.0,20.0,0.0,4.0,0.0,25.0,0.27,1.0,0.05,101.0,307.0,32.9,740.0,112.0,34.6,34.3,107.0,47.7,42.5,412.0,25.0,6.1,10.0,0.5,10.7,73.0,10.0,31.1,3.65,0.08,0.26,0.08,0.7,0.7,6704.0,8623.0,77.7,118607.0,47394.0,2978.0,3399.0,87.6,2836.0,3355.0,84.5,687.0,1327.0,51.8,173.0,395.0,135.0,48.0,552.0,7569.0,1027.0,279.0,12.0,45.0,293.0,78.0,31.0,29.0,0.0,437.0,27.0,196.0,407.0,20.35,298.0,40.0,15.0,23.0,23.0,33.0,1.65,24.0,4.0,2.0,2.0,1.0,0.0,358.0,203.0,189.0,125.0,44.0,149.0,241.0,61.8,92.0,241.0,109.0,132.0,150.0,485.0,3.0,10991.0,1636.0,4399.0,4390.0,2326.0,341.0,10991.0,103.0,310.0,33.2,5946.0,291.0,241.0,71.0,6623.0,299.0,210.0,2.0,234.0,246.0,27.0,0.0,3.0,0.0,954.0,203.0,231.0,46.8
-Fiorentina,27.0,57.1,20.0,220.0,1800.0,22.0,17.0,2.0,4.0,51.0,2.0,1.1,0.85,1.95,1.0,1.85,27.6,24.9,1.38,1.24,20.0,20.0,1800.0,26.0,1.3,63.0,38.0,61.9,6.0,6.0,8.0,4.0,20.0,2.0,2.0,0.0,0.0,20.0,0.0,3.0,1.0,20.9,0.3,-4.1,-0.2,97.0,250.0,38.8,622.0,83.0,31.2,32.8,121.0,46.3,41.2,183.0,10.0,5.5,34.0,1.7,18.0,91.0,9.0,29.2,4.55,0.06,0.22,0.08,-5.6,-4.9,8512.0,10506.0,81.0,163436.0,53927.0,3390.0,3793.0,89.4,3807.0,4377.0,87.0,1153.0,1858.0,62.1,250.0,685.0,198.0,63.0,917.0,9465.0,1014.0,309.0,13.0,104.0,454.0,130.0,50.0,55.0,0.0,408.0,27.0,170.0,559.0,27.95,407.0,62.0,24.0,39.0,23.0,39.0,1.95,31.0,4.0,1.0,2.0,1.0,0.0,315.0,173.0,131.0,136.0,48.0,159.0,250.0,63.6,91.0,177.0,50.0,127.0,149.0,241.0,8.0,12571.0,1046.0,3480.0,5706.0,3502.0,527.0,12567.0,117.0,315.0,37.1,7559.0,418.0,335.0,105.0,8436.0,318.0,194.0,2.0,261.0,260.0,27.0,2.0,2.0,1.0,1066.0,302.0,261.0,53.6
-Hellas Verona,32.0,43.5,20.0,220.0,1800.0,16.0,13.0,0.0,0.0,57.0,3.0,0.8,0.65,1.45,0.8,1.45,20.1,20.1,1.0,1.0,20.0,20.0,1800.0,32.0,1.6,105.0,73.0,69.5,3.0,4.0,13.0,2.0,10.0,1.0,0.0,1.0,0.0,20.0,0.0,2.0,1.0,26.8,0.25,-4.2,-0.21,187.0,374.0,50.0,462.0,64.0,60.4,43.5,159.0,59.7,45.7,279.0,12.0,4.3,46.0,2.3,17.4,60.0,5.0,26.8,3.0,0.07,0.27,0.09,-4.1,-4.1,5088.0,7385.0,68.9,100062.0,46561.0,2044.0,2616.0,78.1,2120.0,2739.0,77.4,768.0,1508.0,50.9,168.0,474.0,133.0,48.0,617.0,6405.0,935.0,217.0,12.0,44.0,375.0,100.0,47.0,37.0,1.0,401.0,45.0,185.0,382.0,19.1,267.0,50.0,17.0,22.0,14.0,28.0,1.4,20.0,1.0,3.0,3.0,0.0,1.0,314.0,170.0,167.0,109.0,38.0,141.0,244.0,57.8,103.0,235.0,83.0,152.0,181.0,385.0,5.0,9662.0,1165.0,3232.0,4108.0,2450.0,367.0,9662.0,98.0,305.0,32.1,4436.0,297.0,213.0,61.0,5004.0,331.0,190.0,0.0,296.0,193.0,45.0,0.0,1.0,1.0,1202.0,411.0,362.0,53.2
-Inter,23.0,53.6,20.0,220.0,1800.0,39.0,26.0,2.0,2.0,39.0,1.0,1.95,1.3,3.25,1.85,3.15,35.1,33.7,1.75,1.68,20.0,20.0,1800.0,26.0,1.3,80.0,56.0,70.0,13.0,1.0,6.0,6.0,30.0,2.0,2.0,0.0,0.0,20.0,0.0,3.0,2.0,21.2,0.24,-2.8,-0.14,84.0,199.0,42.2,666.0,103.0,25.2,29.0,133.0,23.3,32.2,238.0,9.0,3.8,8.0,0.4,13.4,100.0,13.0,32.5,5.0,0.12,0.37,0.11,3.9,3.3,8694.0,10574.0,82.2,159059.0,55426.0,3654.0,4088.0,89.4,3910.0,4445.0,88.0,934.0,1557.0,60.0,228.0,613.0,189.0,64.0,809.0,9627.0,912.0,249.0,26.0,104.0,438.0,109.0,27.0,69.0,0.0,355.0,35.0,128.0,536.0,26.8,387.0,63.0,11.0,39.0,30.0,68.0,3.4,48.0,3.0,4.0,6.0,5.0,2.0,292.0,159.0,122.0,128.0,42.0,131.0,222.0,59.0,91.0,211.0,55.0,156.0,160.0,293.0,5.0,12597.0,1370.0,4218.0,5587.0,2901.0,485.0,12595.0,71.0,225.0,31.6,7309.0,318.0,243.0,69.0,8601.0,281.0,139.0,1.0,245.0,236.0,35.0,1.0,2.0,2.0,1014.0,251.0,204.0,55.2
-Juventus,26.0,49.4,20.0,220.0,1800.0,30.0,23.0,2.0,3.0,35.0,4.0,1.5,1.15,2.65,1.4,2.55,29.0,26.6,1.45,1.33,20.0,20.0,1800.0,17.0,0.85,68.0,50.0,76.5,11.0,5.0,4.0,12.0,60.0,2.0,1.0,1.0,0.0,20.0,0.0,3.0,0.0,20.5,0.27,3.5,0.17,80.0,209.0,38.3,522.0,95.0,32.2,33.4,103.0,39.8,37.5,258.0,6.0,2.3,19.0,0.95,16.2,95.0,8.0,34.5,4.75,0.1,0.29,0.1,1.0,1.4,7971.0,9794.0,81.4,150809.0,51840.0,3226.0,3654.0,88.3,3559.0,4039.0,88.1,1036.0,1658.0,62.5,213.0,596.0,149.0,54.0,711.0,8864.0,900.0,232.0,19.0,107.0,374.0,100.0,29.0,61.0,0.0,366.0,30.0,163.0,472.0,23.6,335.0,46.0,23.0,41.0,18.0,48.0,2.4,33.0,3.0,1.0,4.0,6.0,1.0,322.0,184.0,152.0,126.0,44.0,151.0,246.0,61.4,95.0,227.0,75.0,152.0,176.0,342.0,7.0,11973.0,1289.0,3990.0,5444.0,2640.0,407.0,11970.0,110.0,280.0,39.3,6453.0,317.0,230.0,70.0,7908.0,322.0,173.0,1.0,239.0,208.0,30.0,3.0,2.0,0.0,1030.0,247.0,240.0,50.7
-Lazio,21.0,50.9,20.0,220.0,1800.0,35.0,25.0,3.0,4.0,43.0,1.0,1.75,1.25,3.0,1.6,2.85,26.7,23.8,1.34,1.19,20.0,20.0,1798.0,16.0,0.8,65.0,49.0,76.9,11.0,5.0,4.0,11.0,55.0,1.0,1.0,0.0,0.0,20.0,0.0,4.0,0.0,15.3,0.23,-0.7,-0.04,91.0,221.0,41.2,618.0,92.0,29.3,32.8,119.0,33.6,34.2,266.0,7.0,2.6,37.0,1.85,18.0,81.0,5.0,37.3,4.05,0.15,0.4,0.11,8.3,8.2,8966.0,10797.0,83.0,146352.0,53658.0,4695.0,5203.0,90.2,3085.0,3558.0,86.7,877.0,1423.0,61.6,164.0,542.0,138.0,17.0,665.0,9824.0,946.0,312.0,33.0,80.0,241.0,88.0,34.0,42.0,0.0,338.0,27.0,145.0,379.0,18.95,282.0,35.0,19.0,22.0,17.0,60.0,3.0,45.0,2.0,3.0,9.0,1.0,0.0,330.0,187.0,148.0,137.0,45.0,152.0,279.0,54.5,127.0,216.0,66.0,150.0,171.0,339.0,4.0,12863.0,1417.0,4383.0,6025.0,2563.0,414.0,12859.0,109.0,278.0,39.2,7232.0,369.0,248.0,101.0,8899.0,293.0,169.0,0.0,206.0,266.0,27.0,2.0,1.0,0.0,1035.0,193.0,196.0,49.6
-Lecce,26.0,42.5,20.0,220.0,1800.0,18.0,12.0,1.0,2.0,45.0,2.0,0.9,0.6,1.5,0.85,1.45,17.2,15.6,0.86,0.78,20.0,20.0,1800.0,24.0,1.2,86.0,63.0,75.6,4.0,8.0,8.0,2.0,10.0,3.0,3.0,0.0,0.0,20.0,1.0,4.0,1.0,23.4,0.24,0.4,0.02,96.0,377.0,25.5,484.0,80.0,53.7,40.9,156.0,75.0,51.4,302.0,13.0,4.3,20.0,1.0,12.5,56.0,9.0,27.9,2.8,0.08,0.3,0.08,0.8,1.4,5432.0,7697.0,70.6,101323.0,40190.0,2308.0,2805.0,82.3,2225.0,2821.0,78.9,733.0,1584.0,46.3,148.0,505.0,104.0,34.0,638.0,6625.0,1036.0,293.0,10.0,85.0,350.0,85.0,33.0,24.0,0.0,451.0,36.0,155.0,335.0,16.75,242.0,32.0,20.0,16.0,22.0,29.0,1.45,23.0,1.0,2.0,2.0,1.0,0.0,377.0,215.0,186.0,136.0,55.0,148.0,268.0,55.2,120.0,261.0,61.0,200.0,211.0,458.0,2.0,10146.0,1210.0,3592.0,4277.0,2389.0,309.0,10144.0,98.0,279.0,35.1,5078.0,283.0,189.0,66.0,5371.0,334.0,187.0,1.0,283.0,254.0,36.0,2.0,3.0,1.0,1097.0,295.0,373.0,44.2
-Milan,27.0,54.8,20.0,220.0,1800.0,35.0,30.0,2.0,2.0,54.0,2.0,1.75,1.5,3.25,1.65,3.15,31.4,30.0,1.57,1.5,20.0,20.0,1800.0,29.0,1.45,72.0,43.0,63.9,11.0,5.0,4.0,4.0,20.0,4.0,3.0,1.0,0.0,20.0,2.0,4.0,1.0,23.3,0.27,-4.7,-0.24,94.0,215.0,43.7,621.0,98.0,30.6,32.8,70.0,35.7,36.2,199.0,13.0,6.5,16.0,0.8,14.1,101.0,13.0,32.8,5.05,0.11,0.33,0.1,3.6,3.0,7775.0,9763.0,79.6,146372.0,51627.0,3090.0,3586.0,86.2,3485.0,3978.0,87.6,1016.0,1686.0,60.3,244.0,622.0,188.0,45.0,823.0,8770.0,958.0,249.0,29.0,70.0,328.0,88.0,19.0,57.0,0.0,442.0,35.0,173.0,543.0,27.15,379.0,53.0,31.0,38.0,33.0,61.0,3.05,43.0,4.0,5.0,7.0,1.0,1.0,374.0,204.0,176.0,165.0,33.0,156.0,243.0,64.2,87.0,193.0,71.0,122.0,167.0,235.0,4.0,11914.0,1143.0,3773.0,5481.0,2811.0,490.0,11912.0,151.0,365.0,41.4,6703.0,435.0,288.0,109.0,7680.0,309.0,176.0,2.0,249.0,231.0,35.0,1.0,4.0,1.0,1072.0,288.0,234.0,55.2
-Monza,29.0,55.1,20.0,220.0,1800.0,24.0,15.0,3.0,3.0,42.0,1.0,1.2,0.75,1.95,1.05,1.8,25.1,22.8,1.26,1.14,20.0,20.0,1800.0,28.0,1.4,84.0,57.0,66.7,7.0,4.0,9.0,6.0,30.0,0.0,0.0,0.0,0.0,20.0,0.0,3.0,1.0,27.8,0.34,0.8,0.04,85.0,252.0,33.7,671.0,121.0,31.7,33.2,121.0,32.2,31.7,278.0,10.0,3.6,14.0,0.7,12.9,65.0,7.0,29.8,3.25,0.1,0.32,0.11,-1.1,-1.8,8822.0,10699.0,82.5,156505.0,54323.0,3994.0,4438.0,90.0,3719.0,4239.0,87.7,907.0,1494.0,60.7,171.0,642.0,155.0,44.0,734.0,9661.0,998.0,318.0,16.0,93.0,336.0,80.0,11.0,57.0,0.0,399.0,40.0,166.0,383.0,19.15,306.0,30.0,9.0,18.0,17.0,46.0,2.3,35.0,2.0,1.0,3.0,5.0,0.0,330.0,190.0,177.0,116.0,37.0,144.0,260.0,55.4,116.0,198.0,56.0,142.0,180.0,316.0,8.0,12770.0,1350.0,4396.0,5743.0,2737.0,366.0,12767.0,114.0,280.0,40.7,7338.0,388.0,283.0,72.0,8739.0,317.0,170.0,0.0,258.0,273.0,40.0,3.0,0.0,1.0,966.0,225.0,214.0,51.3
-Napoli,24.0,61.0,20.0,220.0,1800.0,48.0,39.0,4.0,5.0,27.0,0.0,2.4,1.95,4.35,2.2,4.15,38.2,34.3,1.91,1.71,20.0,20.0,1800.0,15.0,0.75,53.0,37.0,73.6,17.0,2.0,1.0,8.0,40.0,2.0,1.0,1.0,0.0,20.0,0.0,1.0,0.0,16.6,0.28,1.6,0.08,34.0,95.0,35.8,444.0,72.0,16.0,26.7,118.0,20.3,27.5,213.0,6.0,2.8,24.0,1.2,17.2,117.0,8.0,35.0,5.85,0.13,0.38,0.1,9.8,9.7,10672.0,12448.0,85.7,178536.0,58704.0,5238.0,5678.0,92.3,4133.0,4615.0,89.6,967.0,1459.0,66.3,275.0,819.0,215.0,48.0,942.0,11443.0,972.0,285.0,13.0,117.0,336.0,106.0,51.0,32.0,0.0,426.0,33.0,174.0,614.0,30.7,460.0,50.0,31.0,41.0,23.0,87.0,4.35,67.0,4.0,2.0,10.0,3.0,1.0,316.0,165.0,139.0,121.0,56.0,136.0,231.0,58.9,95.0,200.0,59.0,141.0,133.0,295.0,6.0,14609.0,1133.0,3884.0,7100.0,3749.0,591.0,14604.0,140.0,385.0,36.4,9040.0,455.0,320.0,126.0,10587.0,319.0,199.0,0.0,187.0,254.0,33.0,4.0,2.0,0.0,1079.0,244.0,210.0,53.7
-Roma,25.0,49.1,20.0,220.0,1800.0,26.0,17.0,3.0,5.0,41.0,0.0,1.3,0.85,2.15,1.15,2.0,33.2,29.3,1.66,1.46,20.0,20.0,1800.0,18.0,0.9,58.0,40.0,69.0,11.0,4.0,5.0,7.0,35.0,0.0,0.0,0.0,0.0,20.0,1.0,3.0,0.0,12.0,0.21,-6.0,-0.3,65.0,164.0,39.6,363.0,71.0,32.8,31.6,146.0,30.8,32.9,229.0,6.0,2.6,13.0,0.65,13.8,83.0,5.0,31.9,4.15,0.09,0.28,0.12,-7.2,-6.3,7614.0,9461.0,80.5,138531.0,47133.0,3235.0,3633.0,89.0,3290.0,3810.0,86.4,899.0,1537.0,58.5,196.0,530.0,144.0,28.0,635.0,8459.0,970.0,272.0,30.0,100.0,291.0,93.0,37.0,51.0,0.0,419.0,32.0,144.0,457.0,22.85,317.0,56.0,18.0,36.0,22.0,44.0,2.2,25.0,6.0,4.0,6.0,3.0,0.0,352.0,180.0,167.0,143.0,42.0,156.0,254.0,61.4,98.0,209.0,60.0,149.0,206.0,329.0,5.0,11648.0,1127.0,3920.0,5522.0,2349.0,410.0,11643.0,110.0,329.0,33.4,6550.0,368.0,262.0,88.0,7533.0,300.0,179.0,0.0,243.0,257.0,32.0,4.0,0.0,0.0,1063.0,234.0,197.0,54.3
-Salernitana,28.0,44.8,20.0,220.0,1800.0,24.0,16.0,1.0,1.0,45.0,3.0,1.2,0.8,2.0,1.15,1.95,20.0,19.3,1.0,0.96,20.0,20.0,1800.0,38.0,1.9,115.0,74.0,70.4,5.0,6.0,9.0,3.0,15.0,7.0,4.0,3.0,0.0,20.0,0.0,1.0,0.0,39.9,0.29,1.9,0.1,99.0,352.0,28.1,545.0,85.0,45.7,37.8,186.0,55.4,44.6,276.0,17.0,6.2,15.0,0.75,14.6,66.0,8.0,31.9,3.3,0.11,0.35,0.1,4.0,3.7,6594.0,8584.0,76.8,119761.0,46006.0,2825.0,3226.0,87.6,2824.0,3320.0,85.1,743.0,1493.0,49.8,155.0,488.0,119.0,37.0,640.0,7585.0,957.0,265.0,18.0,99.0,309.0,79.0,10.0,43.0,0.0,369.0,42.0,176.0,360.0,18.0,270.0,32.0,10.0,24.0,20.0,42.0,2.1,37.0,1.0,2.0,2.0,0.0,0.0,316.0,171.0,168.0,118.0,30.0,139.0,274.0,50.7,135.0,201.0,76.0,125.0,169.0,386.0,8.0,10695.0,1363.0,3861.0,4748.0,2197.0,262.0,10694.0,101.0,276.0,36.6,5756.0,293.0,206.0,47.0,6520.0,308.0,169.0,1.0,242.0,207.0,42.0,0.0,7.0,0.0,1034.0,240.0,258.0,48.2
-Sampdoria,30.0,48.9,20.0,220.0,1800.0,8.0,7.0,0.0,0.0,63.0,1.0,0.4,0.35,0.75,0.4,0.75,16.4,16.4,0.82,0.82,20.0,20.0,1800.0,34.0,1.7,98.0,64.0,69.4,2.0,3.0,15.0,2.0,10.0,6.0,4.0,2.0,0.0,20.0,0.0,3.0,2.0,27.5,0.22,-4.5,-0.22,119.0,343.0,34.7,567.0,83.0,44.6,38.9,154.0,58.4,45.0,256.0,15.0,5.9,20.0,1.0,15.4,61.0,8.0,28.9,3.05,0.04,0.13,0.08,-8.4,-8.4,6805.0,9009.0,75.5,124974.0,47701.0,2874.0,3335.0,86.2,2917.0,3547.0,82.2,825.0,1553.0,53.1,148.0,513.0,142.0,43.0,624.0,7873.0,1096.0,362.0,17.0,51.0,349.0,71.0,18.0,45.0,0.0,449.0,40.0,205.0,347.0,17.35,255.0,25.0,7.0,29.0,21.0,12.0,0.6,9.0,0.0,0.0,2.0,0.0,1.0,334.0,192.0,162.0,134.0,38.0,151.0,274.0,55.1,123.0,225.0,60.0,165.0,174.0,292.0,6.0,11088.0,1178.0,3632.0,5001.0,2559.0,330.0,11088.0,89.0,260.0,34.2,6036.0,235.0,185.0,44.0,6732.0,326.0,201.0,0.0,289.0,307.0,40.0,0.0,5.0,2.0,1017.0,327.0,324.0,50.2
-Sassuolo,27.0,48.3,20.0,220.0,1800.0,23.0,17.0,4.0,5.0,50.0,2.0,1.15,0.85,2.0,0.95,1.8,25.9,22.0,1.29,1.1,20.0,20.0,1800.0,31.0,1.55,64.0,33.0,57.8,5.0,5.0,10.0,5.0,25.0,4.0,4.0,0.0,0.0,20.0,0.0,3.0,0.0,26.1,0.36,-4.9,-0.25,119.0,279.0,42.7,712.0,105.0,30.9,34.2,183.0,32.2,32.9,264.0,16.0,6.1,15.0,0.75,14.0,87.0,10.0,34.3,4.35,0.07,0.22,0.09,-2.9,-3.0,7498.0,9357.0,80.1,141620.0,52357.0,3112.0,3536.0,88.0,3108.0,3609.0,86.1,1089.0,1721.0,63.3,205.0,565.0,171.0,49.0,776.0,8237.0,1101.0,313.0,21.0,112.0,298.0,87.0,41.0,23.0,0.0,439.0,19.0,182.0,461.0,23.05,368.0,25.0,19.0,24.0,18.0,41.0,2.05,31.0,2.0,2.0,3.0,3.0,0.0,282.0,151.0,132.0,113.0,37.0,116.0,227.0,51.1,111.0,182.0,55.0,127.0,148.0,338.0,8.0,11358.0,1316.0,3996.0,4881.0,2594.0,397.0,11353.0,122.0,299.0,40.8,6477.0,378.0,244.0,106.0,7429.0,273.0,216.0,1.0,207.0,247.0,19.0,4.0,4.0,0.0,909.0,183.0,229.0,44.4
-Spezia,30.0,46.7,20.0,220.0,1800.0,15.0,10.0,2.0,2.0,53.0,2.0,0.75,0.5,1.25,0.65,1.15,18.6,17.1,0.93,0.85,20.0,20.0,1800.0,32.0,1.6,104.0,72.0,69.2,4.0,6.0,10.0,3.0,15.0,1.0,0.0,0.0,1.0,20.0,1.0,4.0,0.0,28.4,0.28,-3.6,-0.18,107.0,319.0,33.5,559.0,95.0,42.0,35.2,127.0,66.1,48.7,283.0,11.0,3.9,29.0,1.45,15.7,61.0,6.0,28.6,3.05,0.06,0.21,0.08,-3.6,-4.1,6301.0,8585.0,73.4,110798.0,43930.0,2925.0,3475.0,84.2,2550.0,3158.0,80.7,655.0,1442.0,45.4,146.0,472.0,130.0,44.0,606.0,7469.0,1079.0,243.0,13.0,59.0,334.0,104.0,62.0,32.0,0.0,495.0,37.0,188.0,356.0,17.8,266.0,30.0,10.0,24.0,16.0,25.0,1.25,20.0,1.0,0.0,2.0,2.0,0.0,351.0,192.0,157.0,140.0,54.0,130.0,266.0,48.9,136.0,255.0,99.0,156.0,162.0,410.0,4.0,10948.0,1393.0,4038.0,4523.0,2505.0,367.0,10946.0,97.0,278.0,34.9,5652.0,275.0,207.0,55.0,6257.0,348.0,205.0,1.0,281.0,193.0,37.0,1.0,1.0,0.0,1136.0,281.0,322.0,46.6
-Torino,24.0,52.9,20.0,220.0,1800.0,21.0,16.0,1.0,1.0,46.0,0.0,1.05,0.8,1.85,1.0,1.8,21.0,20.2,1.05,1.01,20.0,20.0,1800.0,22.0,1.1,79.0,57.0,75.9,7.0,6.0,7.0,4.0,20.0,4.0,3.0,0.0,1.0,20.0,0.0,3.0,0.0,21.3,0.24,-0.7,-0.03,145.0,510.0,28.4,763.0,87.0,48.5,41.0,149.0,94.0,71.7,244.0,18.0,7.4,33.0,1.65,16.1,80.0,4.0,33.1,4.0,0.08,0.25,0.08,0.0,-0.2,7734.0,9895.0,78.2,140197.0,47843.0,3348.0,3827.0,87.5,3387.0,3932.0,86.1,787.0,1573.0,50.0,200.0,612.0,139.0,43.0,718.0,8921.0,927.0,237.0,11.0,74.0,316.0,87.0,32.0,34.0,1.0,406.0,47.0,175.0,444.0,22.2,352.0,31.0,18.0,22.0,13.0,37.0,1.85,30.0,1.0,2.0,2.0,2.0,0.0,265.0,145.0,128.0,104.0,33.0,111.0,164.0,67.7,53.0,181.0,61.0,120.0,172.0,314.0,6.0,12007.0,1171.0,3668.0,5465.0,2981.0,399.0,12006.0,114.0,302.0,37.7,6632.0,355.0,281.0,99.0,7668.0,336.0,191.0,0.0,286.0,207.0,47.0,1.0,4.0,0.0,1065.0,309.0,337.0,47.8
-Udinese,23.0,50.4,20.0,220.0,1800.0,27.0,23.0,0.0,0.0,44.0,1.0,1.35,1.15,2.5,1.35,2.5,26.7,26.7,1.34,1.34,20.0,20.0,1800.0,22.0,1.1,66.0,45.0,69.7,7.0,8.0,5.0,6.0,30.0,2.0,2.0,0.0,0.0,20.0,1.0,2.0,1.0,22.6,0.32,1.6,0.08,83.0,211.0,39.3,432.0,74.0,34.7,33.3,154.0,39.6,36.6,263.0,5.0,1.9,10.0,0.5,13.8,80.0,18.0,27.2,4.0,0.09,0.34,0.09,0.3,0.3,7288.0,9169.0,79.5,132541.0,50473.0,3171.0,3625.0,87.5,3010.0,3517.0,85.6,876.0,1469.0,59.6,217.0,600.0,176.0,32.0,814.0,8136.0,1000.0,272.0,15.0,115.0,310.0,103.0,45.0,30.0,0.0,424.0,33.0,182.0,513.0,25.65,368.0,48.0,27.0,29.0,35.0,47.0,2.35,39.0,3.0,1.0,0.0,3.0,1.0,348.0,201.0,189.0,126.0,33.0,166.0,278.0,59.7,112.0,223.0,69.0,154.0,158.0,392.0,3.0,11559.0,1205.0,3720.0,4951.0,3001.0,517.0,11559.0,128.0,364.0,35.2,6594.0,371.0,269.0,107.0,7219.0,341.0,200.0,0.0,243.0,248.0,33.0,0.0,2.0,1.0,1047.0,254.0,212.0,54.5
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+Udinese,25.0,50.0,21.0,231.0,1890.0,27.0,23.0,0.0,0.0,46.0,1.0,1.29,1.1,2.38,1.29,2.38,27.3,27.3,1.3,1.3,21.0,21.0,1890.0,23.0,1.1,70.0,48.0,70.0,7.0,8.0,6.0,6.0,28.6,2.0,2.0,0.0,0.0,21.0,1.0,2.0,1.0,23.9,0.31,1.9,0.09,90.0,225.0,40.0,450.0,76.0,35.8,33.6,164.0,39.0,36.1,275.0,5.0,1.8,10.0,0.48,13.7,83.0,18.0,27.2,3.95,0.09,0.33,0.09,-0.3,-0.3,7580.0,9566.0,79.2,138365.0,53143.0,3284.0,3767.0,87.2,3139.0,3682.0,85.3,922.0,1544.0,59.7,223.0,626.0,189.0,33.0,858.0,8486.0,1046.0,287.0,16.0,117.0,333.0,108.0,47.0,32.0,0.0,437.0,34.0,187.0,532.0,25.33,379.0,51.0,31.0,38.0,47.0,2.24,39.0,3.0,0.0,3.0,1.0,369.0,209.0,203.0,129.0,37.0,238.0,73.0,165.0,165.0,405.0,3.0,12052.0,1267.0,3907.0,5139.0,3128.0,546.0,12052.0,6900.0,388.0,283.0,108.0,7509.0,361.0,207.0,0.0,251.0,261.0,34.0,0.0,2.0,1.0,1097.0,264.0,222.0,54.3
diff --git a/fbref_data/teams_vs.csv b/fbref_data/teams_vs.csv
index 308daa0..207a2be 100644
--- a/fbref_data/teams_vs.csv
+++ b/fbref_data/teams_vs.csv
@@ -1,21 +1,21 @@
-team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_dribbles,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_dribbles,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,dribble_tackles,dribbles_vs,dribble_tackles_pct,dribbled_past,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,dribbles_completed,dribbles,dribbles_completed_pct,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
-vs Atalanta,24.0,51.0,20.0,220.0,1800.0,22.0,16.0,1.0,1.0,45.0,0.0,1.1,0.8,1.9,1.05,1.85,21.3,20.5,1.06,1.02,20.0,20.0,1800.0,39.0,1.95,93.0,53.0,64.5,4.0,5.0,11.0,1.0,5.0,8.0,6.0,2.0,0.0,20.0,0.0,2.0,1.0,33.6,0.28,-4.4,-0.22,101.0,312.0,32.4,705.0,96.0,36.5,34.9,141.0,39.0,37.5,239.0,10.0,4.2,26.0,1.3,15.5,73.0,6.0,30.2,3.65,0.09,0.29,0.09,0.7,0.5,7944.0,10147.0,78.3,140518.0,52356.0,3527.0,4009.0,88.0,3258.0,3865.0,84.3,884.0,1624.0,54.4,182.0,570.0,152.0,41.0,688.0,9080.0,1041.0,269.0,16.0,60.0,324.0,87.0,19.0,38.0,0.0,462.0,26.0,192.0,424.0,21.2,325.0,36.0,16.0,21.0,19.0,40.0,2.0,30.0,2.0,3.0,2.0,3.0,0.0,368.0,220.0,200.0,126.0,42.0,162.0,284.0,57.0,122.0,222.0,75.0,147.0,196.0,324.0,4.0,12444.0,1351.0,4299.0,5533.0,2748.0,397.0,12443.0,138.0,350.0,39.4,6961.0,317.0,239.0,81.0,7831.0,356.0,175.0,0.0,220.0,232.0,26.0,1.0,8.0,1.0,1214.0,248.0,303.0,45.0
-vs Bologna,24.0,47.4,20.0,220.0,1800.0,28.0,16.0,5.0,5.0,45.0,2.0,1.4,0.8,2.2,1.15,1.95,26.7,22.9,1.34,1.15,20.0,20.0,1798.0,26.0,1.3,75.0,50.0,69.3,8.0,5.0,7.0,4.0,20.0,3.0,3.0,0.0,0.0,20.0,0.0,3.0,1.0,21.5,0.25,-3.5,-0.18,105.0,296.0,35.5,499.0,94.0,41.7,35.9,149.0,59.1,46.8,234.0,14.0,6.0,29.0,1.45,16.6,83.0,3.0,31.8,4.15,0.09,0.28,0.09,1.3,0.1,6905.0,8979.0,76.9,122535.0,46595.0,3125.0,3614.0,86.5,2756.0,3311.0,83.2,785.0,1451.0,54.1,197.0,572.0,146.0,45.0,713.0,7916.0,1030.0,271.0,19.0,71.0,371.0,94.0,31.0,53.0,0.0,445.0,33.0,181.0,451.0,22.55,323.0,44.0,23.0,37.0,17.0,45.0,2.25,33.0,1.0,1.0,5.0,4.0,1.0,279.0,155.0,126.0,113.0,40.0,117.0,213.0,54.9,96.0,248.0,54.0,194.0,170.0,314.0,7.0,11106.0,1084.0,3294.0,4999.0,2923.0,417.0,11101.0,119.0,318.0,37.4,5813.0,329.0,268.0,75.0,6847.0,317.0,190.0,1.0,252.0,229.0,33.0,3.0,3.0,1.0,1081.0,224.0,180.0,55.4
-vs Cremonese,29.0,56.5,20.0,220.0,1800.0,34.0,21.0,4.0,4.0,37.0,0.0,1.7,1.05,2.75,1.5,2.55,36.1,33.0,1.81,1.65,20.0,20.0,1800.0,15.0,0.75,70.0,53.0,81.4,12.0,8.0,0.0,9.0,45.0,4.0,2.0,2.0,0.0,20.0,0.0,2.0,0.0,18.1,0.21,3.1,0.15,82.0,219.0,37.4,519.0,100.0,31.2,34.1,170.0,33.5,34.9,307.0,19.0,6.2,19.0,0.95,13.9,119.0,15.0,37.5,5.95,0.09,0.25,0.11,-2.1,-3.0,8218.0,10364.0,79.3,151770.0,56892.0,3603.0,4155.0,86.7,3339.0,3964.0,84.2,1075.0,1717.0,62.6,240.0,623.0,174.0,44.0,839.0,9288.0,1044.0,288.0,18.0,105.0,327.0,91.0,29.0,49.0,0.0,445.0,32.0,180.0,570.0,28.5,386.0,65.0,28.0,47.0,33.0,60.0,3.0,37.0,3.0,5.0,9.0,5.0,1.0,299.0,179.0,152.0,105.0,42.0,131.0,218.0,60.1,87.0,226.0,73.0,153.0,175.0,443.0,8.0,12780.0,1331.0,4172.0,5526.0,3212.0,479.0,12776.0,135.0,384.0,35.2,7229.0,375.0,304.0,99.0,8152.0,329.0,199.0,0.0,217.0,254.0,32.0,3.0,4.0,0.0,1106.0,367.0,273.0,57.3
-vs Empoli,26.0,53.7,20.0,220.0,1800.0,24.0,18.0,1.0,3.0,45.0,2.0,1.2,0.9,2.1,1.15,2.05,31.1,28.8,1.56,1.44,20.0,20.0,1800.0,19.0,0.95,73.0,54.0,74.0,6.0,8.0,6.0,5.0,25.0,0.0,0.0,0.0,0.0,20.0,1.0,3.0,0.0,15.7,0.22,-3.3,-0.16,87.0,202.0,43.1,518.0,92.0,30.3,33.3,122.0,36.9,36.8,221.0,6.0,2.7,13.0,0.65,14.2,84.0,13.0,25.9,4.2,0.07,0.27,0.09,-7.1,-5.8,7957.0,9952.0,80.0,147338.0,52103.0,3513.0,3988.0,88.1,3144.0,3729.0,84.3,1092.0,1704.0,64.1,237.0,640.0,207.0,72.0,929.0,8922.0,998.0,245.0,14.0,175.0,525.0,124.0,41.0,52.0,1.0,454.0,32.0,176.0,570.0,28.5,429.0,49.0,12.0,39.0,28.0,43.0,2.15,33.0,5.0,1.0,3.0,1.0,0.0,378.0,200.0,166.0,159.0,53.0,168.0,271.0,62.0,103.0,245.0,71.0,174.0,172.0,287.0,6.0,12204.0,1069.0,3487.0,5214.0,3595.0,541.0,12201.0,92.0,291.0,31.6,6832.0,471.0,323.0,108.0,7890.0,309.0,209.0,1.0,260.0,226.0,32.0,2.0,0.0,0.0,1062.0,231.0,203.0,53.2
-vs Fiorentina,27.0,42.9,20.0,220.0,1800.0,25.0,18.0,2.0,2.0,48.0,4.0,1.25,0.9,2.15,1.15,2.05,22.7,21.3,1.14,1.06,20.0,20.0,1800.0,22.0,1.1,95.0,71.0,78.9,8.0,6.0,6.0,7.0,35.0,4.0,2.0,2.0,0.0,20.0,0.0,4.0,0.0,23.4,0.21,1.4,0.07,133.0,409.0,32.5,689.0,103.0,44.0,37.6,161.0,65.8,50.0,348.0,17.0,4.9,14.0,0.7,12.6,61.0,6.0,31.8,3.05,0.12,0.38,0.11,2.3,1.7,5901.0,7856.0,75.1,109988.0,43322.0,2466.0,2874.0,85.8,2566.0,3070.0,83.6,709.0,1427.0,49.7,144.0,379.0,114.0,32.0,505.0,6856.0,947.0,279.0,24.0,70.0,242.0,61.0,19.0,36.0,0.0,374.0,53.0,143.0,326.0,16.3,233.0,32.0,19.0,20.0,14.0,42.0,2.1,32.0,2.0,1.0,4.0,2.0,1.0,342.0,185.0,185.0,127.0,30.0,148.0,265.0,55.8,117.0,230.0,95.0,135.0,177.0,421.0,7.0,10053.0,1598.0,4394.0,3892.0,1905.0,330.0,10051.0,91.0,293.0,31.1,4845.0,252.0,168.0,76.0,5823.0,287.0,156.0,1.0,271.0,243.0,53.0,1.0,4.0,0.0,1005.0,261.0,302.0,46.4
-vs Hellas Verona,32.0,56.6,20.0,220.0,1800.0,31.0,29.0,0.0,1.0,40.0,3.0,1.55,1.45,3.0,1.55,3.0,26.4,25.6,1.32,1.28,20.0,20.0,1800.0,18.0,0.9,60.0,44.0,70.0,13.0,4.0,3.0,6.0,30.0,0.0,0.0,0.0,0.0,20.0,0.0,3.0,2.0,16.7,0.28,0.7,0.04,148.0,422.0,35.1,684.0,71.0,50.0,39.3,125.0,64.0,48.2,276.0,15.0,5.4,23.0,1.15,15.6,104.0,9.0,34.4,5.2,0.1,0.3,0.09,4.6,5.4,7397.0,9695.0,76.3,135360.0,54202.0,3162.0,3689.0,85.7,3186.0,3808.0,83.7,854.0,1680.0,50.8,231.0,620.0,175.0,47.0,730.0,8591.0,1082.0,329.0,21.0,56.0,339.0,114.0,40.0,55.0,0.0,428.0,22.0,171.0,516.0,25.8,372.0,57.0,22.0,32.0,27.0,57.0,2.85,47.0,4.0,3.0,2.0,1.0,0.0,354.0,184.0,196.0,121.0,37.0,164.0,262.0,62.6,98.0,207.0,56.0,151.0,156.0,391.0,1.0,12060.0,1306.0,4014.0,5347.0,2803.0,483.0,12059.0,103.0,289.0,35.6,6231.0,287.0,209.0,93.0,7301.0,362.0,173.0,0.0,201.0,286.0,22.0,1.0,0.0,2.0,1096.0,362.0,411.0,46.8
-vs Inter,23.0,46.5,20.0,220.0,1800.0,24.0,21.0,2.0,2.0,50.0,0.0,1.2,1.05,2.25,1.1,2.15,19.2,17.6,0.96,0.88,20.0,20.0,1800.0,40.0,2.0,102.0,63.0,62.7,6.0,1.0,13.0,2.0,10.0,2.0,2.0,0.0,0.0,20.0,2.0,5.0,1.0,33.7,0.32,-5.3,-0.26,87.0,270.0,32.2,533.0,92.0,33.2,35.2,167.0,55.7,45.6,346.0,16.0,4.6,13.0,0.65,12.2,78.0,13.0,35.0,3.9,0.1,0.28,0.08,4.8,4.4,7405.0,9236.0,80.2,135771.0,47721.0,3156.0,3551.0,88.9,3247.0,3717.0,87.4,849.0,1488.0,57.1,174.0,545.0,148.0,47.0,677.0,8253.0,965.0,263.0,6.0,80.0,294.0,74.0,28.0,38.0,0.0,384.0,18.0,175.0,400.0,20.0,310.0,31.0,9.0,21.0,23.0,43.0,2.15,31.0,6.0,0.0,2.0,4.0,0.0,249.0,134.0,114.0,96.0,39.0,110.0,181.0,60.8,71.0,168.0,67.0,101.0,186.0,400.0,5.0,11263.0,1343.0,3877.0,5084.0,2401.0,341.0,11261.0,91.0,259.0,35.1,6062.0,365.0,249.0,70.0,7359.0,271.0,161.0,0.0,249.0,224.0,18.0,2.0,2.0,1.0,914.0,204.0,251.0,44.8
-vs Juventus,26.0,50.7,20.0,220.0,1800.0,17.0,14.0,1.0,2.0,45.0,1.0,0.85,0.7,1.55,0.8,1.5,22.2,20.8,1.11,1.04,20.0,20.0,1800.0,30.0,1.5,98.0,67.0,71.4,4.0,5.0,11.0,4.0,20.0,3.0,2.0,1.0,0.0,20.0,3.0,5.0,0.0,28.1,0.26,-1.9,-0.09,91.0,226.0,40.3,479.0,85.0,33.2,33.1,142.0,47.2,40.5,289.0,6.0,2.1,17.0,0.85,15.2,66.0,6.0,26.9,3.3,0.07,0.24,0.09,-5.2,-4.8,8274.0,10138.0,81.6,144228.0,48287.0,3945.0,4372.0,90.2,3297.0,3851.0,85.6,844.0,1414.0,59.7,185.0,674.0,139.0,36.0,746.0,9145.0,966.0,260.0,14.0,83.0,339.0,90.0,32.0,43.0,0.0,407.0,27.0,171.0,418.0,20.9,338.0,26.0,16.0,22.0,12.0,30.0,1.5,20.0,2.0,3.0,4.0,0.0,1.0,303.0,170.0,145.0,113.0,45.0,130.0,240.0,54.2,110.0,187.0,62.0,125.0,186.0,342.0,7.0,12202.0,1252.0,3627.0,5683.0,3027.0,345.0,12200.0,95.0,286.0,33.2,7125.0,378.0,332.0,69.0,8214.0,304.0,171.0,0.0,220.0,221.0,27.0,0.0,3.0,0.0,1007.0,240.0,247.0,49.3
-vs Lazio,21.0,49.2,20.0,220.0,1800.0,16.0,11.0,1.0,1.0,49.0,2.0,0.8,0.55,1.35,0.75,1.3,21.9,21.1,1.09,1.05,20.0,20.0,1800.0,36.0,1.8,84.0,49.0,60.7,4.0,5.0,11.0,3.0,15.0,4.0,3.0,0.0,1.0,20.0,0.0,3.0,1.0,30.3,0.33,-4.7,-0.23,78.0,203.0,38.4,653.0,95.0,25.0,29.8,120.0,33.3,33.4,190.0,11.0,5.8,31.0,1.55,15.2,64.0,4.0,26.1,3.2,0.06,0.23,0.09,-5.9,-6.1,8538.0,10417.0,82.0,159969.0,51770.0,3418.0,3823.0,89.4,3963.0,4438.0,89.3,992.0,1645.0,60.3,183.0,598.0,162.0,49.0,718.0,9467.0,906.0,228.0,18.0,112.0,355.0,97.0,42.0,33.0,0.0,396.0,44.0,186.0,419.0,20.95,299.0,45.0,26.0,24.0,17.0,29.0,1.45,20.0,2.0,1.0,3.0,2.0,1.0,299.0,162.0,116.0,136.0,47.0,130.0,239.0,54.4,109.0,175.0,48.0,127.0,179.0,256.0,9.0,12389.0,1388.0,4555.0,5386.0,2576.0,411.0,12388.0,127.0,318.0,39.9,7401.0,321.0,205.0,81.0,8476.0,284.0,178.0,2.0,278.0,196.0,44.0,1.0,4.0,1.0,1085.0,196.0,193.0,50.4
-vs Lecce,26.0,57.6,20.0,220.0,1800.0,23.0,16.0,3.0,3.0,50.0,0.0,1.15,0.8,1.95,1.0,1.8,23.1,20.7,1.16,1.04,20.0,20.0,1800.0,19.0,0.95,58.0,39.0,69.0,8.0,8.0,4.0,6.0,30.0,2.0,1.0,1.0,0.0,20.0,0.0,3.0,1.0,17.6,0.27,-0.4,-0.02,107.0,277.0,38.6,588.0,105.0,35.0,33.9,130.0,54.6,43.8,263.0,19.0,7.2,20.0,1.0,15.7,83.0,7.0,35.5,4.15,0.09,0.24,0.09,-0.1,-0.7,8072.0,10455.0,77.2,145308.0,53777.0,3513.0,4114.0,85.4,3453.0,4060.0,85.0,868.0,1613.0,53.8,179.0,623.0,158.0,47.0,761.0,9228.0,1184.0,306.0,27.0,72.0,389.0,118.0,37.0,65.0,0.0,557.0,43.0,228.0,411.0,20.55,317.0,31.0,13.0,24.0,20.0,37.0,1.85,27.0,1.0,1.0,4.0,4.0,0.0,323.0,171.0,162.0,123.0,38.0,136.0,234.0,58.1,98.0,184.0,55.0,129.0,176.0,360.0,4.0,12675.0,1168.0,3982.0,5843.0,2975.0,434.0,12672.0,120.0,301.0,39.9,7083.0,331.0,236.0,74.0,7987.0,354.0,229.0,0.0,263.0,265.0,43.0,3.0,2.0,1.0,1072.0,373.0,295.0,55.8
-vs Milan,27.0,45.2,20.0,220.0,1800.0,28.0,21.0,3.0,4.0,67.0,0.0,1.4,1.05,2.45,1.25,2.3,23.4,20.3,1.17,1.01,20.0,20.0,1800.0,37.0,1.85,103.0,68.0,66.0,4.0,5.0,11.0,3.0,15.0,2.0,2.0,0.0,0.0,20.0,0.0,2.0,2.0,34.9,0.32,-0.1,-0.01,110.0,300.0,36.7,507.0,116.0,44.0,37.6,158.0,48.7,41.3,260.0,13.0,5.0,28.0,1.4,15.7,68.0,9.0,30.8,3.4,0.11,0.37,0.09,4.6,4.7,6194.0,8077.0,76.7,110483.0,46409.0,2889.0,3342.0,86.4,2384.0,2896.0,82.3,741.0,1389.0,53.3,179.0,473.0,131.0,34.0,613.0,7096.0,958.0,267.0,13.0,105.0,259.0,82.0,39.0,29.0,0.0,377.0,23.0,140.0,398.0,19.9,298.0,38.0,7.0,25.0,27.0,50.0,2.5,36.0,5.0,0.0,3.0,6.0,0.0,334.0,190.0,176.0,127.0,31.0,158.0,309.0,51.1,151.0,232.0,82.0,150.0,166.0,379.0,9.0,10317.0,1302.0,3625.0,4479.0,2320.0,317.0,10313.0,87.0,287.0,30.3,5607.0,281.0,221.0,60.0,6130.0,351.0,218.0,0.0,242.0,237.0,23.0,4.0,2.0,2.0,1005.0,234.0,288.0,44.8
-vs Monza,29.0,45.0,20.0,220.0,1800.0,27.0,21.0,0.0,0.0,36.0,3.0,1.35,1.05,2.4,1.35,2.4,25.2,25.2,1.26,1.26,20.0,20.0,1800.0,25.0,1.25,68.0,44.0,67.6,9.0,4.0,7.0,5.0,25.0,3.0,3.0,0.0,0.0,20.0,2.0,1.0,1.0,21.9,0.28,-2.1,-0.11,87.0,216.0,40.3,507.0,85.0,31.6,33.1,132.0,42.4,40.2,261.0,11.0,4.2,27.0,1.35,17.3,84.0,9.0,34.4,4.2,0.11,0.32,0.11,1.8,1.8,6864.0,8706.0,78.8,125429.0,47641.0,3023.0,3439.0,87.9,2795.0,3308.0,84.5,869.0,1475.0,58.9,196.0,566.0,154.0,43.0,724.0,7676.0,993.0,286.0,15.0,108.0,358.0,105.0,45.0,44.0,0.0,399.0,37.0,164.0,436.0,21.8,315.0,47.0,21.0,29.0,19.0,48.0,2.4,36.0,4.0,2.0,5.0,0.0,1.0,301.0,169.0,147.0,110.0,44.0,131.0,245.0,53.5,114.0,202.0,57.0,145.0,180.0,305.0,4.0,10788.0,1142.0,3367.0,4871.0,2654.0,424.0,10788.0,116.0,294.0,39.5,6006.0,386.0,250.0,95.0,6794.0,334.0,186.0,1.0,291.0,251.0,37.0,0.0,3.0,1.0,1023.0,214.0,225.0,48.7
-vs Napoli,24.0,39.0,20.0,220.0,1800.0,15.0,10.0,1.0,2.0,58.0,3.0,0.75,0.5,1.25,0.7,1.2,17.9,16.3,0.89,0.82,20.0,20.0,1800.0,48.0,2.4,122.0,73.0,63.9,1.0,2.0,17.0,2.0,10.0,5.0,4.0,1.0,0.0,20.0,0.0,10.0,0.0,38.0,0.28,-10.0,-0.5,119.0,355.0,33.5,578.0,94.0,45.5,37.1,149.0,61.7,46.9,262.0,6.0,2.3,16.0,0.8,15.5,51.0,4.0,25.4,2.55,0.07,0.27,0.08,-2.9,-2.3,6159.0,7983.0,77.2,110752.0,40812.0,2765.0,3156.0,87.6,2589.0,3045.0,85.0,662.0,1358.0,48.7,154.0,442.0,131.0,35.0,552.0,7058.0,898.0,214.0,13.0,62.0,271.0,86.0,42.0,34.0,0.0,346.0,27.0,163.0,352.0,17.6,261.0,36.0,12.0,21.0,12.0,26.0,1.3,20.0,0.0,1.0,4.0,0.0,1.0,395.0,228.0,212.0,134.0,49.0,196.0,336.0,58.3,140.0,234.0,92.0,142.0,176.0,352.0,2.0,10204.0,1423.0,3952.0,4215.0,2139.0,335.0,10202.0,95.0,266.0,35.7,5309.0,275.0,200.0,76.0,6109.0,294.0,180.0,2.0,272.0,174.0,27.0,1.0,4.0,0.0,995.0,210.0,244.0,46.3
-vs Roma,25.0,50.9,20.0,220.0,1800.0,18.0,14.0,0.0,0.0,65.0,4.0,0.9,0.7,1.6,0.9,1.6,13.8,13.8,0.69,0.69,20.0,20.0,1800.0,26.0,1.3,86.0,60.0,73.3,5.0,4.0,11.0,4.0,20.0,5.0,3.0,0.0,2.0,20.0,0.0,5.0,0.0,28.1,0.29,2.1,0.1,82.0,228.0,36.0,569.0,96.0,28.5,32.8,127.0,52.0,42.6,225.0,10.0,4.4,30.0,1.5,16.4,58.0,15.0,26.9,2.9,0.08,0.31,0.06,4.2,4.2,7994.0,9891.0,80.8,140023.0,50074.0,3626.0,4088.0,88.7,3328.0,3861.0,86.2,808.0,1416.0,57.1,175.0,596.0,113.0,39.0,722.0,8954.0,927.0,259.0,7.0,73.0,303.0,75.0,29.0,31.0,0.0,396.0,10.0,176.0,385.0,19.25,284.0,44.0,11.0,15.0,27.0,29.0,1.45,25.0,1.0,0.0,2.0,1.0,0.0,358.0,217.0,156.0,150.0,52.0,179.0,289.0,61.9,110.0,204.0,73.0,131.0,156.0,291.0,9.0,11992.0,1224.0,3645.0,5707.0,2740.0,278.0,11992.0,98.0,287.0,34.1,6915.0,307.0,254.0,53.0,7924.0,301.0,196.0,1.0,274.0,228.0,10.0,0.0,5.0,0.0,1048.0,197.0,234.0,45.7
-vs Salernitana,28.0,55.3,20.0,220.0,1800.0,38.0,23.0,4.0,7.0,40.0,4.0,1.9,1.15,3.05,1.7,2.85,37.6,31.7,1.88,1.59,20.0,20.0,1800.0,25.0,1.25,67.0,43.0,64.2,9.0,6.0,5.0,6.0,30.0,1.0,1.0,0.0,0.0,20.0,0.0,2.0,1.0,23.1,0.33,-0.9,-0.05,51.0,176.0,29.0,506.0,100.0,28.3,31.9,113.0,29.2,31.1,240.0,14.0,5.8,17.0,0.85,16.3,108.0,7.0,35.3,5.4,0.11,0.31,0.11,0.4,2.3,8688.0,10651.0,81.6,152335.0,53079.0,3937.0,4385.0,89.8,3615.0,4167.0,86.8,899.0,1539.0,58.4,231.0,687.0,194.0,38.0,865.0,9672.0,930.0,269.0,33.0,86.0,356.0,90.0,44.0,42.0,1.0,388.0,49.0,157.0,541.0,27.05,407.0,37.0,30.0,33.0,27.0,66.0,3.3,48.0,1.0,4.0,8.0,4.0,1.0,310.0,173.0,116.0,147.0,47.0,141.0,242.0,58.3,101.0,200.0,52.0,148.0,157.0,292.0,4.0,12749.0,1113.0,3680.0,6073.0,3128.0,519.0,12742.0,135.0,330.0,40.9,7649.0,429.0,318.0,108.0,8613.0,297.0,177.0,1.0,226.0,233.0,49.0,7.0,1.0,1.0,1084.0,258.0,240.0,51.8
-vs Sampdoria,30.0,51.1,20.0,220.0,1800.0,32.0,23.0,4.0,6.0,45.0,1.0,1.6,1.15,2.75,1.4,2.55,30.5,26.0,1.53,1.3,20.0,20.0,1800.0,8.0,0.4,61.0,53.0,86.9,15.0,3.0,2.0,13.0,65.0,0.0,0.0,0.0,0.0,20.0,0.0,1.0,0.0,12.4,0.21,4.4,0.22,87.0,263.0,33.1,563.0,89.0,37.1,35.2,137.0,39.4,39.6,276.0,10.0,3.6,14.0,0.7,14.7,92.0,9.0,35.9,4.6,0.11,0.3,0.1,1.5,2.0,7452.0,9538.0,78.1,133403.0,48727.0,3257.0,3741.0,87.1,3096.0,3637.0,85.1,842.0,1535.0,54.9,202.0,554.0,179.0,42.0,755.0,8520.0,962.0,314.0,19.0,98.0,323.0,88.0,32.0,33.0,0.0,382.0,56.0,185.0,462.0,23.1,330.0,47.0,24.0,31.0,27.0,51.0,2.55,40.0,4.0,1.0,4.0,2.0,0.0,341.0,206.0,163.0,137.0,41.0,140.0,229.0,61.1,89.0,225.0,52.0,173.0,175.0,381.0,3.0,11761.0,1239.0,4105.0,5020.0,2756.0,440.0,11755.0,123.0,318.0,38.7,6421.0,344.0,242.0,76.0,7376.0,278.0,183.0,1.0,316.0,277.0,56.0,3.0,0.0,0.0,1075.0,324.0,327.0,49.8
-vs Sassuolo,27.0,51.8,20.0,220.0,1800.0,31.0,22.0,4.0,4.0,46.0,1.0,1.55,1.1,2.65,1.35,2.45,27.3,24.7,1.36,1.23,20.0,20.0,1800.0,23.0,1.15,92.0,68.0,79.3,10.0,5.0,5.0,7.0,35.0,5.0,4.0,1.0,0.0,20.0,0.0,3.0,0.0,25.7,0.23,2.7,0.13,108.0,251.0,43.0,616.0,105.0,31.2,31.0,130.0,45.4,39.3,234.0,7.0,3.0,17.0,0.85,15.3,60.0,11.0,25.2,3.0,0.11,0.45,0.11,3.7,2.3,8098.0,10000.0,81.0,146437.0,52729.0,3434.0,3849.0,89.2,3557.0,4039.0,88.1,885.0,1542.0,57.4,188.0,586.0,192.0,58.0,762.0,9042.0,891.0,209.0,28.0,88.0,350.0,86.0,26.0,39.0,0.0,398.0,67.0,159.0,433.0,21.65,335.0,39.0,13.0,20.0,17.0,50.0,2.5,39.0,1.0,3.0,5.0,2.0,0.0,355.0,188.0,171.0,141.0,43.0,139.0,261.0,53.3,122.0,230.0,71.0,159.0,175.0,312.0,6.0,12034.0,1328.0,4127.0,5222.0,2797.0,440.0,12030.0,111.0,259.0,42.9,6950.0,366.0,243.0,83.0,8024.0,272.0,166.0,1.0,262.0,190.0,67.0,2.0,5.0,0.0,1043.0,229.0,183.0,55.6
-vs Spezia,30.0,53.4,20.0,220.0,1800.0,32.0,27.0,0.0,1.0,38.0,1.0,1.6,1.35,2.95,1.6,2.95,32.0,31.2,1.6,1.56,20.0,20.0,1800.0,17.0,0.85,63.0,48.0,76.2,10.0,6.0,4.0,9.0,45.0,2.0,2.0,0.0,0.0,20.0,0.0,2.0,2.0,16.6,0.24,1.6,0.08,77.0,237.0,32.5,522.0,82.0,34.5,35.3,130.0,43.8,40.8,263.0,17.0,6.5,28.0,1.4,15.6,104.0,7.0,30.7,5.2,0.09,0.31,0.09,0.0,0.8,7774.0,9999.0,77.7,141649.0,51712.0,3298.0,3874.0,85.1,3320.0,3909.0,84.9,927.0,1628.0,56.9,265.0,558.0,187.0,49.0,768.0,8890.0,1063.0,310.0,40.0,86.0,355.0,100.0,36.0,46.0,0.0,473.0,46.0,177.0,590.0,29.5,411.0,54.0,38.0,52.0,24.0,59.0,2.95,45.0,3.0,5.0,5.0,1.0,0.0,352.0,192.0,170.0,142.0,40.0,147.0,244.0,60.2,97.0,222.0,63.0,159.0,208.0,380.0,4.0,12423.0,1185.0,4094.0,5529.0,2908.0,513.0,12422.0,136.0,312.0,43.6,6687.0,356.0,254.0,107.0,7702.0,336.0,221.0,1.0,207.0,261.0,46.0,1.0,2.0,2.0,1182.0,322.0,281.0,53.4
-vs Torino,24.0,47.2,20.0,220.0,1800.0,22.0,14.0,3.0,4.0,37.0,0.0,1.1,0.7,1.8,0.95,1.65,24.3,21.1,1.21,1.06,20.0,20.0,1800.0,21.0,1.05,81.0,60.0,75.3,7.0,6.0,7.0,5.0,25.0,1.0,1.0,0.0,0.0,20.0,0.0,0.0,0.0,23.7,0.28,2.7,0.14,138.0,354.0,39.0,675.0,91.0,41.9,36.6,121.0,58.7,44.6,245.0,11.0,4.5,11.0,0.55,12.7,76.0,8.0,31.7,3.8,0.08,0.25,0.09,-2.3,-2.1,6623.0,8798.0,75.3,121986.0,48886.0,2849.0,3319.0,85.8,2795.0,3405.0,82.1,798.0,1603.0,49.8,187.0,475.0,133.0,45.0,587.0,7775.0,1001.0,316.0,10.0,45.0,317.0,82.0,33.0,28.0,0.0,398.0,22.0,143.0,411.0,20.55,303.0,39.0,12.0,30.0,20.0,35.0,1.75,25.0,3.0,0.0,4.0,3.0,0.0,333.0,164.0,169.0,136.0,28.0,142.0,256.0,55.5,114.0,218.0,69.0,149.0,168.0,347.0,3.0,10980.0,1321.0,4102.0,4713.0,2290.0,361.0,10976.0,53.0,202.0,26.2,5595.0,260.0,203.0,68.0,6517.0,330.0,154.0,0.0,221.0,274.0,22.0,3.0,1.0,0.0,1045.0,337.0,309.0,52.2
-vs Udinese,23.0,49.7,20.0,220.0,1800.0,21.0,15.0,2.0,2.0,50.0,2.0,1.05,0.75,1.8,0.95,1.7,24.9,23.4,1.25,1.17,20.0,20.0,1800.0,28.0,1.4,80.0,53.0,65.0,5.0,8.0,7.0,4.0,20.0,0.0,0.0,0.0,0.0,20.0,1.0,3.0,1.0,21.8,0.27,-5.2,-0.26,89.0,242.0,36.8,477.0,83.0,36.9,35.9,121.0,54.5,45.2,236.0,18.0,7.6,29.0,1.45,14.6,64.0,10.0,27.5,3.2,0.08,0.3,0.1,-3.9,-4.4,7218.0,9185.0,78.6,131784.0,48998.0,3194.0,3661.0,87.2,2952.0,3460.0,85.3,884.0,1533.0,57.7,163.0,558.0,148.0,45.0,746.0,8145.0,1009.0,262.0,24.0,70.0,347.0,101.0,36.0,46.0,0.0,429.0,31.0,187.0,402.0,20.1,288.0,36.0,15.0,30.0,25.0,40.0,2.0,31.0,1.0,2.0,2.0,3.0,1.0,393.0,209.0,212.0,133.0,48.0,193.0,321.0,60.1,128.0,258.0,94.0,164.0,151.0,338.0,9.0,11418.0,1215.0,3700.0,5297.0,2545.0,396.0,11416.0,112.0,315.0,35.6,6268.0,316.0,257.0,62.0,7150.0,323.0,182.0,1.0,261.0,235.0,31.0,2.0,0.0,1.0,1010.0,212.0,254.0,45.5
+team,players_used,possession,games,games_starts,minutes,goals,assists,pens_made,pens_att,cards_yellow,cards_red,goals_per90,assists_per90,goals_assists_per90,goals_pens_per90,goals_assists_pens_per90,xg,npxg,xg_per90,npxg_per90,gk_games,gk_games_starts,gk_minutes,gk_goals_against,gk_goals_against_per90,gk_shots_on_target_against,gk_saves,gk_save_pct,gk_wins,gk_ties,gk_losses,gk_clean_sheets,gk_clean_sheets_pct,gk_pens_att,gk_pens_allowed,gk_pens_saved,gk_pens_missed,minutes_90s,gk_free_kick_goals_against,gk_corner_kick_goals_against,gk_own_goals_against,gk_psxg,gk_psnpxg_per_shot_on_target_against,gk_psxg_net,gk_psxg_net_per90,gk_passes_completed_launched,gk_passes_launched,gk_passes_pct_launched,gk_passes,gk_passes_throws,gk_pct_passes_launched,gk_passes_length_avg,gk_goal_kicks,gk_pct_goal_kicks_launched,gk_goal_kick_length_avg,gk_crosses,gk_crosses_stopped,gk_crosses_stopped_pct,gk_def_actions_outside_pen_area,gk_def_actions_outside_pen_area_per90,gk_avg_distance_def_actions,shots_on_target,shots_free_kicks,shots_on_target_pct,shots_on_target_per90,goals_per_shot,goals_per_shot_on_target,npxg_per_shot,xg_net,npxg_net,passes_completed,passes,passes_pct,passes_total_distance,passes_progressive_distance,passes_completed_short,passes_short,passes_pct_short,passes_completed_medium,passes_medium,passes_pct_medium,passes_completed_long,passes_long,passes_pct_long,assisted_shots,passes_into_final_third,passes_into_penalty_area,crosses_into_penalty_area,progressive_passes,passes_live,passes_dead,passes_free_kicks,through_balls,passes_switches,crosses,corner_kicks,corner_kicks_in,corner_kicks_out,corner_kicks_straight,throw_ins,passes_offsides,passes_blocked,sca,sca_per90,sca_passes_live,sca_passes_dead,sca_shots,sca_fouled,gca,gca_per90,gca_passes_live,gca_passes_dead,gca_shots,gca_fouled,gca_defense,tackles,tackles_won,tackles_def_3rd,tackles_mid_3rd,tackles_att_3rd,blocks,blocked_shots,blocked_passes,interceptions,clearances,errors,touches,touches_def_pen_area,touches_def_3rd,touches_mid_3rd,touches_att_3rd,touches_att_pen_area,touches_live_ball,carries,progressive_carries,carries_into_final_third,carries_into_penalty_area,passes_received,miscontrols,dispossessed,cards_yellow_red,fouls,fouled,offsides,pens_won,pens_conceded,own_goals,ball_recoveries,aerials_won,aerials_lost,aerials_won_pct
+vs Atalanta,24.0,51.0,21.0,231.0,1890.0,23.0,17.0,1.0,1.0,50.0,0.0,1.1,0.81,1.9,1.05,1.86,22.6,21.8,1.07,1.04,21.0,21.0,1890.0,39.0,1.86,95.0,55.0,65.3,5.0,5.0,11.0,2.0,9.5,8.0,6.0,2.0,0.0,21.0,0.0,2.0,1.0,34.1,0.28,-3.9,-0.19,103.0,320.0,32.2,740.0,100.0,35.5,34.5,146.0,39.0,37.7,258.0,12.0,4.7,34.0,1.62,16.0,81.0,8.0,31.2,3.86,0.08,0.27,0.08,0.4,0.2,8419.0,10710.0,78.6,149166.0,55125.0,3731.0,4229.0,88.2,3471.0,4112.0,84.4,936.0,1702.0,55.0,196.0,597.0,162.0,42.0,730.0,9601.0,1083.0,282.0,16.0,65.0,338.0,89.0,21.0,38.0,0.0,480.0,26.0,201.0,458.0,21.81,354.0,37.0,21.0,22.0,42.0,2.0,32.0,2.0,2.0,3.0,0.0,385.0,232.0,211.0,129.0,45.0,229.0,76.0,153.0,199.0,352.0,4.0,13119.0,1413.0,4508.0,5849.0,2904.0,416.0,13118.0,7375.0,338.0,263.0,83.0,8301.0,365.0,180.0,0.0,232.0,244.0,26.0,1.0,8.0,1.0,1261.0,260.0,317.0,45.1
+vs Bologna,25.0,48.1,21.0,231.0,1890.0,29.0,17.0,5.0,5.0,47.0,2.0,1.38,0.81,2.19,1.14,1.95,28.0,24.3,1.34,1.16,21.0,21.0,1888.0,28.0,1.33,81.0,54.0,70.4,8.0,5.0,8.0,4.0,19.0,4.0,4.0,0.0,0.0,21.0,0.0,4.0,1.0,22.8,0.24,-4.2,-0.2,109.0,308.0,35.4,528.0,96.0,41.5,35.8,155.0,57.4,45.8,238.0,14.0,5.9,29.0,1.38,16.6,89.0,3.0,32.0,4.24,0.09,0.27,0.09,1.0,-0.3,7345.0,9547.0,76.9,130333.0,49358.0,3309.0,3838.0,86.2,2960.0,3541.0,83.6,826.0,1529.0,54.0,210.0,606.0,159.0,47.0,764.0,8414.0,1097.0,297.0,19.0,75.0,396.0,99.0,34.0,55.0,0.0,472.0,36.0,191.0,477.0,22.71,339.0,46.0,41.0,18.0,46.0,2.19,33.0,1.0,6.0,4.0,1.0,291.0,164.0,130.0,120.0,41.0,263.0,57.0,206.0,179.0,320.0,7.0,11798.0,1140.0,3470.0,5326.0,3120.0,454.0,11793.0,6198.0,345.0,281.0,77.0,7286.0,340.0,202.0,1.0,262.0,254.0,36.0,3.0,4.0,1.0,1145.0,239.0,193.0,55.3
+vs Cremonese,30.0,55.8,21.0,231.0,1890.0,36.0,23.0,4.0,4.0,39.0,0.0,1.71,1.1,2.81,1.52,2.62,37.6,34.5,1.79,1.64,21.0,21.0,1890.0,15.0,0.71,73.0,56.0,82.2,13.0,8.0,0.0,10.0,47.6,4.0,2.0,2.0,0.0,21.0,0.0,2.0,0.0,18.7,0.21,3.7,0.18,92.0,242.0,38.0,541.0,103.0,32.9,34.7,177.0,36.2,35.8,321.0,21.0,6.5,19.0,0.9,13.8,123.0,15.0,37.7,5.86,0.1,0.26,0.11,-1.6,-2.5,8496.0,10776.0,78.8,157038.0,59255.0,3715.0,4301.0,86.4,3459.0,4118.0,84.0,1112.0,1808.0,61.5,249.0,648.0,182.0,49.0,882.0,9644.0,1099.0,302.0,18.0,107.0,352.0,99.0,30.0,49.0,0.0,470.0,33.0,188.0,585.0,27.86,398.0,65.0,47.0,34.0,63.0,3.0,39.0,3.0,9.0,5.0,2.0,321.0,190.0,161.0,115.0,45.0,236.0,77.0,159.0,187.0,459.0,8.0,13305.0,1377.0,4340.0,5749.0,3355.0,497.0,13301.0,7462.0,390.0,314.0,103.0,8429.0,346.0,208.0,0.0,232.0,264.0,33.0,3.0,4.0,0.0,1168.0,388.0,296.0,56.7
+vs Empoli,27.0,53.2,21.0,231.0,1890.0,26.0,20.0,1.0,3.0,47.0,2.0,1.24,0.95,2.19,1.19,2.14,32.3,30.0,1.54,1.43,21.0,21.0,1890.0,19.0,0.9,75.0,56.0,74.7,7.0,8.0,6.0,6.0,28.6,0.0,0.0,0.0,0.0,21.0,1.0,3.0,0.0,16.1,0.22,-2.9,-0.14,90.0,211.0,42.7,535.0,96.0,30.3,33.3,135.0,36.3,36.3,240.0,6.0,2.5,15.0,0.71,14.3,90.0,13.0,26.8,4.29,0.07,0.28,0.09,-6.3,-5.0,8307.0,10394.0,79.9,153964.0,54440.0,3659.0,4152.0,88.1,3288.0,3903.0,84.2,1143.0,1781.0,64.2,247.0,650.0,210.0,72.0,952.0,9307.0,1052.0,263.0,15.0,183.0,541.0,131.0,42.0,58.0,1.0,468.0,35.0,185.0,590.0,28.1,437.0,56.0,42.0,29.0,47.0,2.24,34.0,7.0,4.0,1.0,0.0,401.0,213.0,183.0,165.0,53.0,257.0,73.0,184.0,187.0,312.0,6.0,12759.0,1147.0,3760.0,5413.0,3683.0,561.0,12756.0,7173.0,485.0,330.0,112.0,8238.0,324.0,213.0,1.0,270.0,244.0,35.0,2.0,0.0,0.0,1104.0,242.0,211.0,53.4
+vs Fiorentina,28.0,42.7,21.0,231.0,1890.0,27.0,19.0,3.0,3.0,52.0,4.0,1.29,0.9,2.19,1.14,2.05,24.5,22.5,1.17,1.07,21.0,21.0,1890.0,23.0,1.1,101.0,76.0,79.2,9.0,6.0,6.0,7.0,33.3,4.0,2.0,2.0,0.0,21.0,0.0,4.0,0.0,25.4,0.22,2.4,0.11,146.0,429.0,34.0,707.0,104.0,44.8,37.9,173.0,64.7,49.4,367.0,17.0,4.6,14.0,0.67,11.9,66.0,6.0,32.7,3.14,0.12,0.36,0.11,2.5,1.5,6148.0,8208.0,74.9,114173.0,45470.0,2600.0,3044.0,85.4,2634.0,3157.0,83.4,740.0,1488.0,49.7,151.0,394.0,119.0,32.0,534.0,7162.0,992.0,291.0,24.0,72.0,247.0,64.0,20.0,38.0,0.0,390.0,54.0,155.0,344.0,16.38,242.0,34.0,24.0,15.0,44.0,2.1,32.0,3.0,5.0,2.0,1.0,361.0,192.0,192.0,137.0,32.0,242.0,98.0,144.0,195.0,456.0,7.0,10541.0,1681.0,4593.0,4114.0,1978.0,346.0,10538.0,5097.0,259.0,178.0,81.0,6068.0,300.0,162.0,1.0,296.0,252.0,54.0,1.0,4.0,0.0,1061.0,274.0,317.0,46.4
+vs Hellas Verona,34.0,56.9,21.0,231.0,1890.0,32.0,30.0,0.0,1.0,41.0,3.0,1.52,1.43,2.95,1.52,2.95,27.2,26.5,1.3,1.26,21.0,21.0,1890.0,19.0,0.9,64.0,47.0,70.3,13.0,5.0,3.0,6.0,28.6,0.0,0.0,0.0,0.0,21.0,0.0,3.0,2.0,17.6,0.28,0.6,0.03,158.0,436.0,36.2,720.0,75.0,49.3,39.1,126.0,64.3,48.4,289.0,15.0,5.2,25.0,1.19,16.0,106.0,10.0,34.1,5.05,0.1,0.3,0.09,4.8,5.5,7876.0,10308.0,76.4,142457.0,57456.0,3436.0,3994.0,86.0,3314.0,3978.0,83.3,891.0,1756.0,50.7,238.0,652.0,187.0,49.0,780.0,9153.0,1131.0,344.0,21.0,58.0,357.0,119.0,43.0,57.0,0.0,445.0,24.0,181.0,533.0,25.38,385.0,57.0,33.0,29.0,59.0,2.81,49.0,4.0,2.0,1.0,0.0,367.0,194.0,202.0,126.0,39.0,217.0,58.0,159.0,162.0,407.0,1.0,12773.0,1372.0,4220.0,5712.0,2950.0,505.0,12772.0,6571.0,302.0,216.0,96.0,7774.0,379.0,179.0,0.0,213.0,302.0,24.0,1.0,0.0,2.0,1173.0,385.0,422.0,47.7
+vs Inter,23.0,46.0,21.0,231.0,1890.0,24.0,21.0,2.0,2.0,55.0,0.0,1.14,1.0,2.14,1.05,2.05,19.5,17.9,0.93,0.85,21.0,21.0,1890.0,41.0,1.95,106.0,66.0,63.2,6.0,1.0,14.0,2.0,9.5,2.0,2.0,0.0,0.0,21.0,2.0,6.0,1.0,34.6,0.32,-5.4,-0.26,99.0,291.0,34.0,552.0,95.0,33.5,35.1,180.0,58.9,46.7,370.0,17.0,4.6,13.0,0.62,11.7,78.0,15.0,34.4,3.71,0.1,0.28,0.08,4.5,4.1,7667.0,9592.0,79.9,140669.0,49721.0,3274.0,3694.0,88.6,3344.0,3843.0,87.0,884.0,1549.0,57.1,176.0,560.0,151.0,48.0,692.0,8562.0,1011.0,276.0,6.0,84.0,301.0,74.0,28.0,38.0,0.0,402.0,19.0,177.0,408.0,19.43,314.0,31.0,21.0,25.0,43.0,2.05,31.0,6.0,2.0,4.0,0.0,259.0,143.0,120.0,97.0,42.0,178.0,71.0,107.0,189.0,428.0,6.0,11721.0,1417.0,4076.0,5277.0,2474.0,348.0,11719.0,6271.0,374.0,254.0,73.0,7615.0,293.0,169.0,0.0,263.0,237.0,19.0,2.0,2.0,1.0,960.0,221.0,266.0,45.4
+vs Juventus,26.0,50.8,21.0,231.0,1890.0,17.0,14.0,1.0,2.0,46.0,1.0,0.81,0.67,1.48,0.76,1.43,23.0,21.6,1.1,1.03,21.0,21.0,1890.0,33.0,1.57,103.0,69.0,70.9,4.0,5.0,12.0,4.0,19.0,4.0,3.0,1.0,0.0,21.0,3.0,5.0,0.0,31.2,0.27,-1.8,-0.09,92.0,235.0,39.1,503.0,88.0,33.0,33.1,150.0,46.0,40.3,298.0,7.0,2.3,17.0,0.81,15.0,67.0,6.0,26.3,3.19,0.06,0.24,0.09,-6.0,-5.6,8769.0,10733.0,81.7,152409.0,50779.0,4192.0,4646.0,90.2,3492.0,4069.0,85.8,883.0,1491.0,59.2,192.0,706.0,146.0,41.0,780.0,9692.0,1014.0,275.0,14.0,87.0,365.0,96.0,32.0,47.0,0.0,422.0,27.0,178.0,436.0,20.76,355.0,26.0,22.0,12.0,30.0,1.43,20.0,2.0,4.0,0.0,1.0,326.0,182.0,150.0,127.0,49.0,194.0,66.0,128.0,196.0,353.0,8.0,12893.0,1299.0,3820.0,6017.0,3196.0,357.0,12891.0,7537.0,389.0,347.0,72.0,8706.0,322.0,175.0,0.0,229.0,232.0,27.0,0.0,4.0,0.0,1064.0,247.0,257.0,49.0
+vs Lazio,21.0,48.6,21.0,231.0,1890.0,17.0,12.0,1.0,1.0,53.0,2.0,0.81,0.57,1.38,0.76,1.33,23.2,22.4,1.1,1.07,21.0,21.0,1890.0,37.0,1.76,86.0,50.0,60.5,4.0,6.0,11.0,3.0,14.3,4.0,3.0,0.0,1.0,21.0,0.0,3.0,1.0,31.2,0.33,-4.8,-0.23,97.0,242.0,40.1,688.0,96.0,28.1,30.9,129.0,38.0,35.6,205.0,14.0,6.8,31.0,1.48,14.5,68.0,4.0,26.2,3.24,0.06,0.24,0.09,-6.2,-6.4,8770.0,10770.0,81.4,165186.0,53969.0,3496.0,3923.0,89.1,4066.0,4574.0,88.9,1038.0,1743.0,59.6,193.0,620.0,167.0,51.0,741.0,9771.0,955.0,241.0,19.0,116.0,372.0,103.0,44.0,36.0,0.0,415.0,44.0,195.0,442.0,21.05,311.0,49.0,28.0,18.0,31.0,1.48,20.0,3.0,3.0,3.0,1.0,315.0,171.0,121.0,144.0,50.0,186.0,50.0,136.0,186.0,277.0,9.0,12869.0,1458.0,4743.0,5567.0,2693.0,433.0,12868.0,7617.0,333.0,211.0,86.0,8707.0,305.0,185.0,2.0,294.0,206.0,44.0,1.0,4.0,1.0,1157.0,207.0,216.0,48.9
+vs Lecce,26.0,57.6,21.0,231.0,1890.0,23.0,16.0,3.0,3.0,51.0,0.0,1.1,0.76,1.86,0.95,1.71,23.7,21.3,1.13,1.01,21.0,21.0,1890.0,21.0,1.0,62.0,41.0,67.7,8.0,8.0,5.0,6.0,28.6,2.0,1.0,1.0,0.0,21.0,0.0,4.0,1.0,19.0,0.28,-1.0,-0.05,111.0,288.0,38.5,620.0,109.0,35.0,33.8,138.0,51.4,42.1,283.0,20.0,7.1,21.0,1.0,15.7,86.0,7.0,35.0,4.1,0.08,0.23,0.09,-0.7,-1.3,8513.0,11019.0,77.3,153174.0,56512.0,3721.0,4355.0,85.4,3635.0,4276.0,85.0,912.0,1699.0,53.7,188.0,649.0,163.0,48.0,786.0,9732.0,1242.0,322.0,28.0,75.0,404.0,122.0,39.0,67.0,0.0,584.0,45.0,234.0,433.0,20.62,332.0,34.0,25.0,22.0,37.0,1.76,27.0,1.0,4.0,4.0,0.0,339.0,181.0,173.0,128.0,38.0,193.0,57.0,136.0,183.0,379.0,5.0,13354.0,1236.0,4228.0,6180.0,3075.0,444.0,13351.0,7521.0,349.0,246.0,76.0,8425.0,371.0,241.0,0.0,275.0,279.0,45.0,3.0,2.0,1.0,1141.0,396.0,316.0,55.6
+vs Milan,27.0,46.1,21.0,231.0,1890.0,29.0,22.0,3.0,4.0,69.0,0.0,1.38,1.05,2.43,1.24,2.29,24.3,21.1,1.16,1.01,21.0,21.0,1890.0,37.0,1.76,103.0,68.0,66.0,5.0,5.0,11.0,4.0,19.0,2.0,2.0,0.0,0.0,21.0,0.0,2.0,2.0,34.9,0.32,-0.1,-0.01,112.0,309.0,36.2,539.0,120.0,42.7,36.9,162.0,48.8,41.5,266.0,13.0,4.9,29.0,1.38,15.8,72.0,9.0,30.5,3.43,0.11,0.36,0.09,4.7,4.9,6703.0,8708.0,77.0,118568.0,48922.0,3137.0,3626.0,86.5,2565.0,3109.0,82.5,786.0,1466.0,53.6,192.0,503.0,140.0,36.0,650.0,7674.0,1009.0,282.0,13.0,108.0,289.0,90.0,43.0,30.0,0.0,400.0,25.0,150.0,423.0,20.14,316.0,43.0,26.0,28.0,51.0,2.43,36.0,6.0,3.0,6.0,0.0,347.0,200.0,182.0,131.0,34.0,234.0,82.0,152.0,174.0,388.0,9.0,11029.0,1342.0,3776.0,4812.0,2552.0,349.0,11025.0,6050.0,302.0,240.0,64.0,6634.0,364.0,227.0,0.0,255.0,251.0,25.0,4.0,2.0,2.0,1059.0,249.0,305.0,44.9
+vs Monza,29.0,44.1,21.0,231.0,1890.0,29.0,22.0,0.0,0.0,40.0,3.0,1.38,1.05,2.43,1.38,2.43,26.4,26.4,1.26,1.26,21.0,21.0,1890.0,27.0,1.29,73.0,47.0,68.5,9.0,5.0,7.0,5.0,23.8,4.0,4.0,0.0,0.0,21.0,2.0,1.0,1.0,23.2,0.26,-2.8,-0.13,92.0,239.0,38.5,536.0,88.0,33.4,33.9,139.0,43.2,40.3,288.0,16.0,5.6,27.0,1.29,16.2,90.0,9.0,35.3,4.29,0.11,0.32,0.11,2.6,2.6,7054.0,8988.0,78.5,128839.0,49257.0,3108.0,3541.0,87.8,2880.0,3409.0,84.5,886.0,1533.0,57.8,204.0,579.0,163.0,46.0,743.0,7922.0,1029.0,298.0,15.0,109.0,366.0,108.0,45.0,47.0,0.0,411.0,37.0,175.0,454.0,21.62,328.0,48.0,31.0,20.0,51.0,2.43,38.0,4.0,6.0,0.0,1.0,322.0,183.0,157.0,120.0,45.0,217.0,64.0,153.0,186.0,343.0,4.0,11206.0,1231.0,3560.0,5032.0,2723.0,437.0,11206.0,6201.0,391.0,257.0,95.0,6982.0,353.0,192.0,1.0,303.0,263.0,37.0,0.0,4.0,1.0,1075.0,226.0,241.0,48.4
+vs Napoli,24.0,38.6,21.0,231.0,1890.0,15.0,10.0,1.0,2.0,61.0,3.0,0.71,0.48,1.19,0.67,1.14,18.3,16.7,0.87,0.8,21.0,21.0,1890.0,51.0,2.43,127.0,75.0,63.8,1.0,2.0,18.0,2.0,9.5,6.0,5.0,1.0,0.0,21.0,0.0,10.0,0.0,40.0,0.27,-11.0,-0.52,119.0,368.0,32.3,602.0,99.0,45.3,37.2,152.0,62.5,47.0,278.0,6.0,2.2,16.0,0.76,15.0,54.0,4.0,25.7,2.57,0.07,0.26,0.08,-3.3,-2.7,6370.0,8285.0,76.9,113925.0,41904.0,2879.0,3293.0,87.4,2666.0,3142.0,84.9,672.0,1403.0,47.9,159.0,453.0,132.0,35.0,572.0,7320.0,937.0,236.0,13.0,66.0,280.0,89.0,42.0,37.0,0.0,353.0,28.0,167.0,367.0,17.48,270.0,36.0,21.0,14.0,26.0,1.24,20.0,0.0,4.0,0.0,1.0,416.0,241.0,223.0,140.0,53.0,248.0,95.0,153.0,188.0,378.0,4.0,10628.0,1489.0,4136.0,4385.0,2215.0,343.0,10626.0,5498.0,289.0,204.0,79.0,6319.0,314.0,195.0,2.0,291.0,192.0,28.0,1.0,5.0,0.0,1049.0,214.0,259.0,45.2
+vs Roma,26.0,51.1,21.0,231.0,1890.0,18.0,14.0,0.0,0.0,66.0,4.0,0.86,0.67,1.52,0.86,1.52,15.5,15.5,0.74,0.74,21.0,21.0,1890.0,28.0,1.33,92.0,64.0,72.8,5.0,4.0,12.0,4.0,19.0,5.0,3.0,0.0,2.0,21.0,0.0,7.0,0.0,29.5,0.29,1.5,0.07,83.0,231.0,35.9,595.0,97.0,27.7,32.5,128.0,51.6,42.5,239.0,10.0,4.2,32.0,1.52,16.3,60.0,16.0,26.4,2.86,0.08,0.3,0.07,2.5,2.5,8447.0,10442.0,80.9,147660.0,52459.0,3832.0,4319.0,88.7,3529.0,4090.0,86.3,844.0,1480.0,57.0,181.0,634.0,120.0,41.0,772.0,9456.0,976.0,271.0,9.0,74.0,324.0,82.0,34.0,32.0,0.0,418.0,10.0,187.0,404.0,19.24,301.0,44.0,15.0,29.0,29.0,1.38,25.0,1.0,2.0,1.0,0.0,364.0,222.0,156.0,155.0,53.0,215.0,76.0,139.0,160.0,309.0,9.0,12637.0,1275.0,3810.0,6012.0,2923.0,295.0,12637.0,7346.0,329.0,274.0,56.0,8374.0,313.0,205.0,1.0,292.0,238.0,10.0,0.0,5.0,0.0,1095.0,205.0,245.0,45.6
+vs Salernitana,28.0,54.9,21.0,231.0,1890.0,41.0,25.0,5.0,8.0,41.0,4.0,1.95,1.19,3.14,1.71,2.9,39.8,33.1,1.9,1.58,21.0,21.0,1890.0,25.0,1.19,68.0,44.0,64.7,10.0,6.0,5.0,7.0,33.3,1.0,1.0,0.0,0.0,21.0,0.0,2.0,1.0,23.3,0.33,-0.7,-0.04,57.0,185.0,30.8,522.0,101.0,28.2,31.8,123.0,30.9,31.6,259.0,14.0,5.4,19.0,0.9,16.6,112.0,7.0,34.8,5.33,0.11,0.32,0.11,1.2,2.9,9135.0,11180.0,81.7,160217.0,55935.0,4138.0,4609.0,89.8,3801.0,4373.0,86.9,947.0,1614.0,58.7,245.0,720.0,206.0,40.0,905.0,10160.0,968.0,277.0,34.0,87.0,369.0,93.0,44.0,45.0,1.0,404.0,52.0,161.0,570.0,27.14,430.0,38.0,35.0,28.0,70.0,3.33,50.0,1.0,9.0,5.0,1.0,321.0,182.0,120.0,154.0,47.0,206.0,55.0,151.0,165.0,321.0,4.0,13389.0,1173.0,3889.0,6394.0,3247.0,544.0,13381.0,8011.0,451.0,329.0,112.0,9057.0,312.0,194.0,1.0,238.0,242.0,52.0,8.0,1.0,1.0,1143.0,268.0,247.0,52.0
+vs Sampdoria,31.0,52.1,21.0,231.0,1890.0,34.0,24.0,5.0,7.0,47.0,1.0,1.62,1.14,2.76,1.38,2.52,32.7,27.4,1.56,1.3,21.0,21.0,1890.0,10.0,0.48,67.0,57.0,85.1,15.0,4.0,2.0,13.0,61.9,0.0,0.0,0.0,0.0,21.0,0.0,1.0,0.0,13.8,0.21,3.8,0.18,92.0,272.0,33.8,599.0,101.0,36.4,34.7,140.0,38.6,39.1,284.0,10.0,3.5,16.0,0.76,15.0,96.0,9.0,35.3,4.57,0.11,0.3,0.1,1.3,1.6,8049.0,10254.0,78.5,144492.0,52267.0,3493.0,4008.0,87.2,3399.0,3990.0,85.2,898.0,1614.0,55.6,211.0,609.0,194.0,47.0,819.0,9177.0,1021.0,325.0,20.0,102.0,357.0,97.0,33.0,38.0,0.0,415.0,56.0,196.0,490.0,23.33,349.0,48.0,35.0,30.0,55.0,2.62,43.0,4.0,4.0,3.0,0.0,354.0,216.0,169.0,142.0,43.0,239.0,55.0,184.0,179.0,390.0,3.0,12577.0,1292.0,4285.0,5448.0,2968.0,472.0,12570.0,6922.0,367.0,263.0,81.0,7967.0,302.0,194.0,1.0,328.0,288.0,56.0,4.0,0.0,0.0,1126.0,340.0,339.0,50.1
+vs Sassuolo,29.0,51.5,21.0,231.0,1890.0,31.0,22.0,4.0,4.0,47.0,3.0,1.48,1.05,2.52,1.29,2.33,27.8,25.2,1.32,1.2,21.0,21.0,1890.0,24.0,1.14,100.0,75.0,80.0,10.0,5.0,6.0,7.0,33.3,5.0,4.0,1.0,0.0,21.0,0.0,3.0,0.0,27.2,0.22,3.2,0.15,110.0,264.0,41.7,648.0,114.0,31.2,31.0,136.0,45.6,39.3,247.0,9.0,3.6,17.0,0.81,14.9,62.0,12.0,25.3,2.95,0.11,0.44,0.11,3.2,1.8,8498.0,10500.0,80.9,153288.0,55071.0,3632.0,4066.0,89.3,3721.0,4235.0,87.9,918.0,1610.0,57.0,194.0,614.0,199.0,59.0,803.0,9490.0,941.0,220.0,28.0,89.0,373.0,93.0,32.0,40.0,0.0,422.0,69.0,166.0,446.0,21.24,343.0,42.0,20.0,19.0,50.0,2.38,39.0,1.0,5.0,2.0,0.0,368.0,195.0,179.0,146.0,43.0,245.0,77.0,168.0,182.0,326.0,6.0,12635.0,1403.0,4347.0,5474.0,2931.0,462.0,12631.0,7332.0,383.0,255.0,92.0,8420.0,286.0,174.0,1.0,275.0,200.0,69.0,2.0,5.0,0.0,1088.0,243.0,195.0,55.5
+vs Spezia,33.0,54.1,21.0,231.0,1890.0,35.0,28.0,1.0,2.0,40.0,1.0,1.67,1.33,3.0,1.62,2.95,33.9,32.3,1.61,1.54,21.0,21.0,1890.0,17.0,0.81,66.0,51.0,77.3,11.0,6.0,4.0,10.0,47.6,2.0,2.0,0.0,0.0,21.0,0.0,2.0,2.0,16.9,0.23,1.9,0.09,78.0,240.0,32.5,546.0,87.0,33.3,34.9,140.0,41.4,39.5,271.0,17.0,6.3,28.0,1.33,15.6,108.0,8.0,30.9,5.14,0.1,0.31,0.09,1.1,1.7,8348.0,10683.0,78.1,151538.0,54882.0,3560.0,4174.0,85.3,3567.0,4188.0,85.2,979.0,1698.0,57.7,274.0,595.0,197.0,51.0,818.0,9513.0,1120.0,327.0,41.0,90.0,375.0,106.0,37.0,48.0,0.0,496.0,50.0,190.0,612.0,29.14,429.0,56.0,52.0,25.0,63.0,3.0,49.0,3.0,5.0,1.0,0.0,374.0,204.0,181.0,149.0,44.0,226.0,64.0,162.0,221.0,391.0,4.0,13192.0,1233.0,4296.0,5896.0,3117.0,548.0,13190.0,7265.0,385.0,277.0,116.0,8271.0,341.0,233.0,1.0,225.0,279.0,50.0,1.0,2.0,2.0,1225.0,337.0,285.0,54.2
+vs Torino,25.0,47.0,21.0,231.0,1890.0,22.0,14.0,3.0,4.0,39.0,0.0,1.05,0.67,1.71,0.9,1.57,24.8,21.7,1.18,1.03,21.0,21.0,1890.0,22.0,1.05,85.0,63.0,75.3,7.0,6.0,8.0,5.0,23.8,1.0,1.0,0.0,0.0,21.0,0.0,0.0,0.0,24.9,0.28,2.9,0.14,145.0,368.0,39.4,693.0,93.0,42.4,36.7,131.0,56.5,43.4,257.0,11.0,4.3,11.0,0.52,12.7,79.0,8.0,31.5,3.76,0.08,0.24,0.09,-2.8,-2.7,6915.0,9195.0,75.2,127810.0,51556.0,2962.0,3461.0,85.6,2924.0,3570.0,81.9,844.0,1678.0,50.3,193.0,501.0,146.0,46.0,631.0,8125.0,1047.0,331.0,11.0,47.0,340.0,87.0,35.0,30.0,0.0,411.0,23.0,148.0,431.0,20.52,314.0,42.0,32.0,23.0,35.0,1.67,25.0,3.0,4.0,3.0,0.0,353.0,172.0,182.0,139.0,32.0,233.0,73.0,160.0,175.0,360.0,3.0,11472.0,1383.0,4288.0,4901.0,2417.0,390.0,11468.0,5901.0,277.0,217.0,69.0,6807.0,350.0,161.0,0.0,229.0,287.0,23.0,3.0,1.0,0.0,1095.0,347.0,319.0,52.1
+vs Udinese,25.0,50.0,21.0,231.0,1890.0,22.0,16.0,2.0,2.0,51.0,2.0,1.05,0.76,1.81,0.95,1.71,26.6,25.1,1.27,1.2,21.0,21.0,1890.0,28.0,1.33,83.0,56.0,66.3,6.0,8.0,7.0,5.0,23.8,0.0,0.0,0.0,0.0,21.0,1.0,3.0,1.0,22.3,0.27,-4.7,-0.22,92.0,256.0,35.9,502.0,91.0,36.7,35.9,127.0,56.7,46.5,255.0,18.0,7.1,31.0,1.48,14.9,68.0,11.0,27.9,3.24,0.08,0.29,0.11,-4.6,-5.1,7641.0,9691.0,78.8,138480.0,51372.0,3429.0,3915.0,87.6,3084.0,3607.0,85.5,923.0,1602.0,57.6,172.0,589.0,160.0,49.0,787.0,8612.0,1045.0,270.0,28.0,74.0,361.0,107.0,38.0,47.0,0.0,444.0,34.0,199.0,423.0,20.14,303.0,38.0,30.0,27.0,42.0,2.0,33.0,1.0,2.0,3.0,1.0,403.0,215.0,218.0,135.0,50.0,265.0,98.0,167.0,157.0,363.0,9.0,12045.0,1281.0,3878.0,5568.0,2727.0,416.0,12043.0,6644.0,335.0,269.0,64.0,7566.0,343.0,189.0,1.0,274.0,242.0,34.0,2.0,0.0,1.0,1063.0,222.0,264.0,45.7
diff --git a/mid_outputs/database_entries.xlsx b/mid_outputs/database_entries.xlsx
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diff --git a/mid_outputs/database_entries_gk.xlsx b/mid_outputs/database_entries_gk.xlsx
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diff --git a/mid_outputs/match_probable_players.xlsx b/mid_outputs/match_probable_players.xlsx
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diff --git a/mid_outputs/players_stats.xlsx b/mid_outputs/players_stats.xlsx
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diff --git a/mid_outputs/season2021/database_entries.xlsx b/mid_outputs/season2021/database_entries.xlsx
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diff --git a/mid_outputs/season2021/players_stats.xlsx b/mid_outputs/season2021/players_stats.xlsx
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diff --git a/mid_outputs/season2021/players_votes.xlsx b/mid_outputs/season2021/players_votes.xlsx
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diff --git a/mid_outputs/season2021/team_data.xlsx b/mid_outputs/season2021/team_data.xlsx
index a6eb660..fe3f0fa 100644
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diff --git a/mid_outputs/season2122/database_entries.xlsx b/mid_outputs/season2122/database_entries.xlsx
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index 0885907..535f7b8 100644
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index d6dac9e..aec778a 100644
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diff --git a/mid_outputs/season2122/players_votes.xlsx b/mid_outputs/season2122/players_votes.xlsx
index 1922a2c..21145d3 100644
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diff --git a/mid_outputs/season2122/team_data.xlsx b/mid_outputs/season2122/team_data.xlsx
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diff --git a/outputs/pred_avg_seriea.xlsx b/outputs/pred_avg_seriea.xlsx
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diff --git a/outputs/pred_avg_seriea_oldseason.xlsx b/outputs/pred_avg_seriea_oldseason.xlsx
deleted file mode 100644
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diff --git a/outputs/pred_matchday_22.xlsx b/outputs/pred_matchday_22.xlsx
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index 0000000..1485665
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diff --git a/outputs/pred_matchday_base.xlsx b/outputs/pred_matchday_base.xlsx
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diff --git a/saves/modelb.data-00000-of-00001 b/saves/modelb.data-00000-of-00001
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index 3781f04..3b26352 100644
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diff --git a/saves/scaler.pkl b/saves/scaler.pkl
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diff --git a/tmp/playermatchdata.xlsx b/tmp/playermatchdata.xlsx
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